From 7b7642901a8759c074cc189f2697013ec1dfa137 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Tue, 18 May 2021 09:14:18 +0900
Subject: [PATCH 01/29] dropping logo from main

---
 logo.png | Bin 35000 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 logo.png

diff --git a/logo.png b/logo.png
deleted file mode 100644
index 5662a1da64fcee2b11010e1cedb2ab88ae2ecf09..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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From f1cf3839155c8072c77d68c454102663498ee21e Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Tue, 18 May 2021 16:17:03 +0900
Subject: [PATCH 02/29] first commit for cox prop

---
 .pre-commit-config.yaml            |  10 --
 scripts/cox/preprocessing.py       | 181 +++++++++++++++++++++++++++++
 scripts/cox/preprocessing_local.py |  52 +++++++++
 scripts/cox/train.py               | 120 +++++++++++++++++++
 scripts/cox/train_local.py         |  25 ++++
 5 files changed, 378 insertions(+), 10 deletions(-)
 create mode 100644 scripts/cox/preprocessing.py
 create mode 100644 scripts/cox/preprocessing_local.py
 create mode 100644 scripts/cox/train.py
 create mode 100644 scripts/cox/train_local.py

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 0539589..7b819c7 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -48,16 +48,6 @@ repos:
         entry: cfn-python-lint
         languge: python
         files: cfn/*.(yaml|yml)
-  - repo: https://github.com/codespell-project/codespell
-    rev: v2.0.0
-    hooks:
-      - id: codespell
-        name: codespell
-        description: Checks for common misspellings in text files.
-        entry: codespell
-        language: python
-        types: [text]
-        exclude: data/
   - repo: https://github.com/pre-commit/mirrors-mypy
     rev: "v0.812" # Use the sha / tag you want to point at
     hooks:
diff --git a/scripts/cox/preprocessing.py b/scripts/cox/preprocessing.py
new file mode 100644
index 0000000..b593fcf
--- /dev/null
+++ b/scripts/cox/preprocessing.py
@@ -0,0 +1,181 @@
+import argparse
+import logging
+import os
+import subprocess
+import sys
+import warnings
+
+
+def install(package):
+    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
+
+
+install("awswrangler==2.4.0")
+
+import awswrangler as wr
+import boto3
+import joblib
+import numpy as np
+import pandas as pd
+from sklearn.compose import ColumnTransformer
+from sklearn.exceptions import DataConversionWarning
+from sklearn.impute import SimpleImputer
+from sklearn.model_selection import train_test_split
+from sklearn.pipeline import Pipeline
+from sklearn.preprocessing import OneHotEncoder, StandardScaler
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+warnings.filterwarnings(action="ignore", category=DataConversionWarning)
+
+col_type = {
+    "state": "category",
+    "account length": "int64",
+    "area code": "str",
+    "int'l plan": "category",
+    "vmail plan": "category",
+    "vmail message": "int64",
+    "day mins": "float64",
+    "day calls": "int64",
+    "day charge": "float64",
+    "eve mins": "float64",
+    "eve calls": "int64",
+    "eve charge": "float64",
+    "night mins": "float64",
+    "night calls": "int64",
+    "night charge": "float64",
+    "intl mins": "float64",
+    "intl calls": "int64",
+    "intl charge": "float64",
+    "custserv calls": "int64",
+    "churn?": "category",
+}
+
+columns = list(col_type.keys())
+target_col = "churn?"
+class_labels = ["True.", "False."]
+
+
+def main(args):
+    """
+    Runs preprocessing for the example data set
+        1. Pulls data from the Athena database
+        2. Splits data into training and testing
+        3. Preprocess categorical and numerical test_features
+        4. Writes preprocessed data to S3
+
+    Args:
+        database (str, required): Athena database to query data from
+        table (str, required): Athena table name to query data from
+        region (str, required): AWS Region for queries
+        train-test-split-ratio (float): Percentage to split the data into
+        , default is 25%
+        random-state (float): Random seed used for train and test split
+        , default is 123
+
+
+    """
+    logger.debug(f"Received arguments {args}")
+    DATABASE, TABLE, REGION = args.database, args.table, args.region
+
+    boto3.setup_default_session(region_name=f"{REGION}")
+    df = wr.athena.read_sql_query(
+        f'SELECT * FROM "{TABLE}"', database=DATABASE, ctas_approach=False
+    )
+    df = df[columns]
+    df = df.astype(col_type)
+    logger.info(df.dtypes)
+
+    df["event"] = np.where(df["churn?"] == "False.", 0, 1)
+    del df["churn?"]
+    df = df.rename(columns={"account length": "duration"})
+
+    df = df.dropna()
+    df = df.drop_duplicates()
+
+    negative_examples, positive_examples = df["event"].value_counts().values
+    print(
+        """Data after cleaning: {}
+            , {} positive examples, {} negative examples""".format(
+            df.shape, positive_examples, negative_examples
+        )
+    )
+
+    train, test = train_test_split(
+        df, test_size=args.train_test_split_ratio, random_state=args.random_state
+    )
+
+    logger.info(train.dtypes)
+
+    numerical_idx = (
+        train.select_dtypes(exclude=["object", "category"])
+        .drop(["event", "duration"], 1)
+        .columns.tolist()
+    )
+
+    categorical_idx = train.select_dtypes(exclude=["float", "int"]).columns.tolist()
+
+    numeric_transformer = Pipeline(
+        steps=[
+            ("imputer", SimpleImputer(strategy="median")),
+            ("scaler", StandardScaler()),
+        ]
+    )
+
+    categorical_transformer = Pipeline(
+        steps=[
+            ("imputer", SimpleImputer(strategy="constant", fill_value="missing")),
+            ("onehot", OneHotEncoder(sparse=False, handle_unknown="ignore")),
+        ]
+    )
+
+    preprocessor = ColumnTransformer(
+        [
+            ("numerical", numeric_transformer, numerical_idx),
+            ("categorical", categorical_transformer, categorical_idx),
+        ],
+        remainder="passthrough",
+    )
+
+    logger.info("Running preprocessing and feature engineering transformations")
+    train_features = preprocessor.fit_transform(train)
+    test_features = preprocessor.transform(test)
+
+    logger.info(f"train features size {train_features.shape}")
+    logger.info(f"test features size {test_features.shape}")
+
+    preprocessor_output_path = os.path.join(
+        "/opt/ml/processing/transformer", "preprocessor.joblib"
+    )
+    joblib.dump(preprocessor, preprocessor_output_path)
+
+    train_features_output_path = os.path.join(
+        "/opt/ml/processing/train", "train_features.csv"
+    )
+
+    test_features_output_path = os.path.join(
+        "/opt/ml/processing/test", "test_features.csv"
+    )
+
+    logger.info(f"Saving training data to {train_features_output_path}")
+    pd.DataFrame(train_features).to_csv(
+        train_features_output_path, header=True, index=False
+    )
+
+    logger.info(f"Saving test data to {test_features_output_path}")
+    pd.DataFrame(test_features).to_csv(
+        test_features_output_path, header=True, index=False
+    )
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--database", type=str, required=True)
+    parser.add_argument("--region", type=str, required=True)
+    parser.add_argument("--table", type=str, required=True)
+    parser.add_argument("--train-test-split-ratio", type=float, default=0.25)
+    parser.add_argument("--random-state", type=float, default=123)
+    args = parser.parse_args()
+
+    main(args)
diff --git a/scripts/cox/preprocessing_local.py b/scripts/cox/preprocessing_local.py
new file mode 100644
index 0000000..c90c75e
--- /dev/null
+++ b/scripts/cox/preprocessing_local.py
@@ -0,0 +1,52 @@
+from sagemaker.local import LocalSession
+from sagemaker.processing import ProcessingInput, ProcessingOutput
+from sagemaker.sklearn.processing import SKLearnProcessor
+
+sagemaker_session = LocalSession()
+sagemaker_session.config = {"local": {"local_code": True}}
+
+# For local training a dummy role will be sufficient
+role = "arn:aws:iam::111111111111:role/service-role/"
+role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
+
+processor = SKLearnProcessor(
+    framework_version="0.23-1",
+    instance_count=1,
+    base_job_name="TrainingPreprocessing",
+    instance_type="local",
+    role=role,
+)
+
+# TO DO: possible to write locally instead of to S3? Mock bucket?
+print("Starting processing job.")
+print(
+    """Note: if launching for the first time in local mode,
+     container image download might take a few minutes to complete."""
+)
+processor.run(
+    code="preprocessing.py",
+    inputs=[
+        ProcessingInput(source="data/", destination="/opt/ml/processing/input_data/")
+    ],
+    outputs=[
+        ProcessingOutput(output_name="train_data", source="/opt/ml/processing/train"),
+        ProcessingOutput(output_name="test_data", source="/opt/ml/processing/test"),
+        ProcessingOutput(
+            output_name="preprocessor", source="/opt/ml/processing/transformer"
+        ),
+    ],
+    arguments=[
+        "--database",
+        #        DATABASE,
+        "--region",
+        sagemaker_session.boto_region_name,
+        "--table",
+        #       TABLE,
+        "--train-test-split-ratio",
+        "0.2",
+    ],
+)
+
+preprocessing_job_description = processor.jobs[-1].describe()
+output_config = preprocessing_job_description["ProcessingOutputConfig"]
+print(output_config)
diff --git a/scripts/cox/train.py b/scripts/cox/train.py
new file mode 100644
index 0000000..06d520e
--- /dev/null
+++ b/scripts/cox/train.py
@@ -0,0 +1,120 @@
+import argparse
+import logging
+import os
+import subprocess
+import sys
+
+
+def install(package):
+    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
+
+
+install("xgboost")
+
+import joblib
+import numpy as np
+import pandas as pd
+import xgboost as xgb
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+
+def survival_y_cox(dframe):
+    """Returns array of outcome encoded for XGB"""
+    y_survival = []
+
+    for idx, row in dframe[["duration", "event"]].iterrows():
+        if row["event"]:
+            # uncensored
+            y_survival.append(int(row["duration"]))
+        else:
+            # right censored
+            y_survival.append(-int(row["duration"]))
+    return np.array(y_survival)
+
+
+def main(args):
+    """
+    Runs preprocessing for the example data set
+        1. Pulls data from the Athena database
+        2. Splits data into training and testing
+        3. Preprocess categorical and numerical test_features
+        4. Writes preprocessed data to S3
+
+    Args:
+        database (str, required): Athena database to query data from
+        table (str, required): Athena table name to query data from
+        region (str, required): AWS Region for queries
+        train-test-split-ratio (float): Percentage to split the data into
+        , default is 25%
+        random-state (float): Random seed used for train and test split
+        , default is 123
+
+    """
+    logger.debug(f"Received arguments {args}")
+
+    train_data_path = os.path.join("/opt/ml/input/data/train", args.train_data)
+    test_data_path = os.path.join("/opt/ml/input/data/test", args.test_data)
+
+    train = pd.read_csv(train_data_path, header=0)
+    test = pd.read_csv(test_data_path, header=0)
+
+    train = train.rename(columns={"91": "event", "90": "duration"})
+    test = test.rename(columns={"91": "event", "90": "duration"})
+
+    logger.info(train.shape)
+    logger.info(test.shape)
+
+    y_train = train[["duration", "event"]]
+    y_test = test[["duration", "event"]]
+
+    train = train.drop(["duration", "event"], 1)
+    test = test.drop(["duration", "event"], 1)
+
+    logger.info(train.shape, y_train.shape)
+    logger.info(test.shape, y_test.shape)
+
+    xgb_train = xgb.DMatrix(train, label=survival_y_cox(y_train))
+    xgb_test = xgb.DMatrix(test, label=survival_y_cox(y_test))
+
+    callbacks = [xgb.callback.EvaluationMonitor(period=20)]
+
+    # TO DO: update with complete params
+    # TO DO: pass hyperparams to sagemaker
+    params = {
+        "eta": 0.1,
+        "max_depth": 3,
+        "objective": "survival:cox",
+        "tree_method": "hist",
+        "subsample": 0.8,
+        "seed": args.random_state,
+    }
+
+    logger.info(f"pramas set to {params}")
+
+    model = xgb.train(
+        params,
+        xgb_train,
+        num_boost_round=100,
+        evals=[(xgb_train, "train"), (xgb_test, "val")],
+        early_stopping_rounds=10,
+        callbacks=callbacks,
+        verbose_eval=0,
+    )
+
+    logger.info(f"Best score of model is {model.best_score}")
+
+    joblib.dump(model, os.path.join(args.model_dir, "model.joblib"))
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--model-name", type=str, default="xgboost-model")
+    parser.add_argument("--test-data", type=str, default="test_features.csv")
+    parser.add_argument("--train-data", type=str, default="train_features.csv")
+    parser.add_argument("--model-dir", type=str, default=os.environ["SM_MODEL_DIR"])
+    parser.add_argument("--random-state", type=float, default=123)
+    args = parser.parse_args()
+
+    main(args)
diff --git a/scripts/cox/train_local.py b/scripts/cox/train_local.py
new file mode 100644
index 0000000..de13951
--- /dev/null
+++ b/scripts/cox/train_local.py
@@ -0,0 +1,25 @@
+from sagemaker.local import LocalSession
+from sagemaker.sklearn.estimator import SKLearn
+
+sagemaker_session = LocalSession()
+sagemaker_session.config = {"local": {"local_code": True}}
+
+# For local training a dummy role will be sufficient
+role = "arn:aws:iam::111111111111:role/service-role/"
+role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
+
+sklearn = SKLearn(
+    entry_point="/home/ec2-user/SageMaker/surv/train.py",
+    framework_version="0.23-1",
+    instance_type="local",
+    role=role,
+    base_job_name="training_job",
+    sagemaker_session=sagemaker_session,
+)
+
+# sklearn.fit({"train": train_data_location, "test": test_data_location})
+
+training_job_description = sklearn.jobs[-1].describe()
+training_output_config = training_job_description["ModelArtifacts"]
+
+print(training_output_config)

From c80406b01d022b472eb8968a7bd76888fde53c6b Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Thu, 27 May 2021 11:06:03 +0900
Subject: [PATCH 03/29] training mode

---
 scripts/cox/preprocessing.py       | 181 -----------------------------
 scripts/cox/preprocessing_local.py |  52 ---------
 scripts/cox/train.py               | 120 -------------------
 scripts/cox/train_local.py         |  25 ----
 4 files changed, 378 deletions(-)
 delete mode 100644 scripts/cox/preprocessing.py
 delete mode 100644 scripts/cox/preprocessing_local.py
 delete mode 100644 scripts/cox/train.py
 delete mode 100644 scripts/cox/train_local.py

diff --git a/scripts/cox/preprocessing.py b/scripts/cox/preprocessing.py
deleted file mode 100644
index b593fcf..0000000
--- a/scripts/cox/preprocessing.py
+++ /dev/null
@@ -1,181 +0,0 @@
-import argparse
-import logging
-import os
-import subprocess
-import sys
-import warnings
-
-
-def install(package):
-    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
-
-
-install("awswrangler==2.4.0")
-
-import awswrangler as wr
-import boto3
-import joblib
-import numpy as np
-import pandas as pd
-from sklearn.compose import ColumnTransformer
-from sklearn.exceptions import DataConversionWarning
-from sklearn.impute import SimpleImputer
-from sklearn.model_selection import train_test_split
-from sklearn.pipeline import Pipeline
-from sklearn.preprocessing import OneHotEncoder, StandardScaler
-
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
-
-warnings.filterwarnings(action="ignore", category=DataConversionWarning)
-
-col_type = {
-    "state": "category",
-    "account length": "int64",
-    "area code": "str",
-    "int'l plan": "category",
-    "vmail plan": "category",
-    "vmail message": "int64",
-    "day mins": "float64",
-    "day calls": "int64",
-    "day charge": "float64",
-    "eve mins": "float64",
-    "eve calls": "int64",
-    "eve charge": "float64",
-    "night mins": "float64",
-    "night calls": "int64",
-    "night charge": "float64",
-    "intl mins": "float64",
-    "intl calls": "int64",
-    "intl charge": "float64",
-    "custserv calls": "int64",
-    "churn?": "category",
-}
-
-columns = list(col_type.keys())
-target_col = "churn?"
-class_labels = ["True.", "False."]
-
-
-def main(args):
-    """
-    Runs preprocessing for the example data set
-        1. Pulls data from the Athena database
-        2. Splits data into training and testing
-        3. Preprocess categorical and numerical test_features
-        4. Writes preprocessed data to S3
-
-    Args:
-        database (str, required): Athena database to query data from
-        table (str, required): Athena table name to query data from
-        region (str, required): AWS Region for queries
-        train-test-split-ratio (float): Percentage to split the data into
-        , default is 25%
-        random-state (float): Random seed used for train and test split
-        , default is 123
-
-
-    """
-    logger.debug(f"Received arguments {args}")
-    DATABASE, TABLE, REGION = args.database, args.table, args.region
-
-    boto3.setup_default_session(region_name=f"{REGION}")
-    df = wr.athena.read_sql_query(
-        f'SELECT * FROM "{TABLE}"', database=DATABASE, ctas_approach=False
-    )
-    df = df[columns]
-    df = df.astype(col_type)
-    logger.info(df.dtypes)
-
-    df["event"] = np.where(df["churn?"] == "False.", 0, 1)
-    del df["churn?"]
-    df = df.rename(columns={"account length": "duration"})
-
-    df = df.dropna()
-    df = df.drop_duplicates()
-
-    negative_examples, positive_examples = df["event"].value_counts().values
-    print(
-        """Data after cleaning: {}
-            , {} positive examples, {} negative examples""".format(
-            df.shape, positive_examples, negative_examples
-        )
-    )
-
-    train, test = train_test_split(
-        df, test_size=args.train_test_split_ratio, random_state=args.random_state
-    )
-
-    logger.info(train.dtypes)
-
-    numerical_idx = (
-        train.select_dtypes(exclude=["object", "category"])
-        .drop(["event", "duration"], 1)
-        .columns.tolist()
-    )
-
-    categorical_idx = train.select_dtypes(exclude=["float", "int"]).columns.tolist()
-
-    numeric_transformer = Pipeline(
-        steps=[
-            ("imputer", SimpleImputer(strategy="median")),
-            ("scaler", StandardScaler()),
-        ]
-    )
-
-    categorical_transformer = Pipeline(
-        steps=[
-            ("imputer", SimpleImputer(strategy="constant", fill_value="missing")),
-            ("onehot", OneHotEncoder(sparse=False, handle_unknown="ignore")),
-        ]
-    )
-
-    preprocessor = ColumnTransformer(
-        [
-            ("numerical", numeric_transformer, numerical_idx),
-            ("categorical", categorical_transformer, categorical_idx),
-        ],
-        remainder="passthrough",
-    )
-
-    logger.info("Running preprocessing and feature engineering transformations")
-    train_features = preprocessor.fit_transform(train)
-    test_features = preprocessor.transform(test)
-
-    logger.info(f"train features size {train_features.shape}")
-    logger.info(f"test features size {test_features.shape}")
-
-    preprocessor_output_path = os.path.join(
-        "/opt/ml/processing/transformer", "preprocessor.joblib"
-    )
-    joblib.dump(preprocessor, preprocessor_output_path)
-
-    train_features_output_path = os.path.join(
-        "/opt/ml/processing/train", "train_features.csv"
-    )
-
-    test_features_output_path = os.path.join(
-        "/opt/ml/processing/test", "test_features.csv"
-    )
-
-    logger.info(f"Saving training data to {train_features_output_path}")
-    pd.DataFrame(train_features).to_csv(
-        train_features_output_path, header=True, index=False
-    )
-
-    logger.info(f"Saving test data to {test_features_output_path}")
-    pd.DataFrame(test_features).to_csv(
-        test_features_output_path, header=True, index=False
-    )
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--database", type=str, required=True)
-    parser.add_argument("--region", type=str, required=True)
-    parser.add_argument("--table", type=str, required=True)
-    parser.add_argument("--train-test-split-ratio", type=float, default=0.25)
-    parser.add_argument("--random-state", type=float, default=123)
-    args = parser.parse_args()
-
-    main(args)
diff --git a/scripts/cox/preprocessing_local.py b/scripts/cox/preprocessing_local.py
deleted file mode 100644
index c90c75e..0000000
--- a/scripts/cox/preprocessing_local.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from sagemaker.local import LocalSession
-from sagemaker.processing import ProcessingInput, ProcessingOutput
-from sagemaker.sklearn.processing import SKLearnProcessor
-
-sagemaker_session = LocalSession()
-sagemaker_session.config = {"local": {"local_code": True}}
-
-# For local training a dummy role will be sufficient
-role = "arn:aws:iam::111111111111:role/service-role/"
-role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
-
-processor = SKLearnProcessor(
-    framework_version="0.23-1",
-    instance_count=1,
-    base_job_name="TrainingPreprocessing",
-    instance_type="local",
-    role=role,
-)
-
-# TO DO: possible to write locally instead of to S3? Mock bucket?
-print("Starting processing job.")
-print(
-    """Note: if launching for the first time in local mode,
-     container image download might take a few minutes to complete."""
-)
-processor.run(
-    code="preprocessing.py",
-    inputs=[
-        ProcessingInput(source="data/", destination="/opt/ml/processing/input_data/")
-    ],
-    outputs=[
-        ProcessingOutput(output_name="train_data", source="/opt/ml/processing/train"),
-        ProcessingOutput(output_name="test_data", source="/opt/ml/processing/test"),
-        ProcessingOutput(
-            output_name="preprocessor", source="/opt/ml/processing/transformer"
-        ),
-    ],
-    arguments=[
-        "--database",
-        #        DATABASE,
-        "--region",
-        sagemaker_session.boto_region_name,
-        "--table",
-        #       TABLE,
-        "--train-test-split-ratio",
-        "0.2",
-    ],
-)
-
-preprocessing_job_description = processor.jobs[-1].describe()
-output_config = preprocessing_job_description["ProcessingOutputConfig"]
-print(output_config)
diff --git a/scripts/cox/train.py b/scripts/cox/train.py
deleted file mode 100644
index 06d520e..0000000
--- a/scripts/cox/train.py
+++ /dev/null
@@ -1,120 +0,0 @@
-import argparse
-import logging
-import os
-import subprocess
-import sys
-
-
-def install(package):
-    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
-
-
-install("xgboost")
-
-import joblib
-import numpy as np
-import pandas as pd
-import xgboost as xgb
-
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
-
-
-def survival_y_cox(dframe):
-    """Returns array of outcome encoded for XGB"""
-    y_survival = []
-
-    for idx, row in dframe[["duration", "event"]].iterrows():
-        if row["event"]:
-            # uncensored
-            y_survival.append(int(row["duration"]))
-        else:
-            # right censored
-            y_survival.append(-int(row["duration"]))
-    return np.array(y_survival)
-
-
-def main(args):
-    """
-    Runs preprocessing for the example data set
-        1. Pulls data from the Athena database
-        2. Splits data into training and testing
-        3. Preprocess categorical and numerical test_features
-        4. Writes preprocessed data to S3
-
-    Args:
-        database (str, required): Athena database to query data from
-        table (str, required): Athena table name to query data from
-        region (str, required): AWS Region for queries
-        train-test-split-ratio (float): Percentage to split the data into
-        , default is 25%
-        random-state (float): Random seed used for train and test split
-        , default is 123
-
-    """
-    logger.debug(f"Received arguments {args}")
-
-    train_data_path = os.path.join("/opt/ml/input/data/train", args.train_data)
-    test_data_path = os.path.join("/opt/ml/input/data/test", args.test_data)
-
-    train = pd.read_csv(train_data_path, header=0)
-    test = pd.read_csv(test_data_path, header=0)
-
-    train = train.rename(columns={"91": "event", "90": "duration"})
-    test = test.rename(columns={"91": "event", "90": "duration"})
-
-    logger.info(train.shape)
-    logger.info(test.shape)
-
-    y_train = train[["duration", "event"]]
-    y_test = test[["duration", "event"]]
-
-    train = train.drop(["duration", "event"], 1)
-    test = test.drop(["duration", "event"], 1)
-
-    logger.info(train.shape, y_train.shape)
-    logger.info(test.shape, y_test.shape)
-
-    xgb_train = xgb.DMatrix(train, label=survival_y_cox(y_train))
-    xgb_test = xgb.DMatrix(test, label=survival_y_cox(y_test))
-
-    callbacks = [xgb.callback.EvaluationMonitor(period=20)]
-
-    # TO DO: update with complete params
-    # TO DO: pass hyperparams to sagemaker
-    params = {
-        "eta": 0.1,
-        "max_depth": 3,
-        "objective": "survival:cox",
-        "tree_method": "hist",
-        "subsample": 0.8,
-        "seed": args.random_state,
-    }
-
-    logger.info(f"pramas set to {params}")
-
-    model = xgb.train(
-        params,
-        xgb_train,
-        num_boost_round=100,
-        evals=[(xgb_train, "train"), (xgb_test, "val")],
-        early_stopping_rounds=10,
-        callbacks=callbacks,
-        verbose_eval=0,
-    )
-
-    logger.info(f"Best score of model is {model.best_score}")
-
-    joblib.dump(model, os.path.join(args.model_dir, "model.joblib"))
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--model-name", type=str, default="xgboost-model")
-    parser.add_argument("--test-data", type=str, default="test_features.csv")
-    parser.add_argument("--train-data", type=str, default="train_features.csv")
-    parser.add_argument("--model-dir", type=str, default=os.environ["SM_MODEL_DIR"])
-    parser.add_argument("--random-state", type=float, default=123)
-    args = parser.parse_args()
-
-    main(args)
diff --git a/scripts/cox/train_local.py b/scripts/cox/train_local.py
deleted file mode 100644
index de13951..0000000
--- a/scripts/cox/train_local.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from sagemaker.local import LocalSession
-from sagemaker.sklearn.estimator import SKLearn
-
-sagemaker_session = LocalSession()
-sagemaker_session.config = {"local": {"local_code": True}}
-
-# For local training a dummy role will be sufficient
-role = "arn:aws:iam::111111111111:role/service-role/"
-role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
-
-sklearn = SKLearn(
-    entry_point="/home/ec2-user/SageMaker/surv/train.py",
-    framework_version="0.23-1",
-    instance_type="local",
-    role=role,
-    base_job_name="training_job",
-    sagemaker_session=sagemaker_session,
-)
-
-# sklearn.fit({"train": train_data_location, "test": test_data_location})
-
-training_job_description = sklearn.jobs[-1].describe()
-training_output_config = training_job_description["ModelArtifacts"]
-
-print(training_output_config)

From b2a62120de5374b532045dbc1cdd0ae4a5444e6f Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Thu, 27 May 2021 11:10:21 +0900
Subject: [PATCH 04/29] training mode

---
 .pre-commit-config.yaml              |   8 +-
 scripts/coxph/preprocessing.py       | 181 +++++++++++++++++++++++++++
 scripts/coxph/preprocessing_local.py |  52 ++++++++
 scripts/coxph/train.py               | 133 ++++++++++++++++++++
 scripts/coxph/train_local.py         |  25 ++++
 5 files changed, 395 insertions(+), 4 deletions(-)
 create mode 100644 scripts/coxph/preprocessing.py
 create mode 100644 scripts/coxph/preprocessing_local.py
 create mode 100644 scripts/coxph/train.py
 create mode 100644 scripts/coxph/train_local.py

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 7b819c7..3ccae2b 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -18,7 +18,7 @@ repos:
     hooks:
       - id: flake8
   - repo: https://github.com/pre-commit/pre-commit
-    rev: v2.12.1
+    rev: v2.13.0
     hooks:
       - id: validate_manifest
   - repo: https://github.com/psf/black
@@ -27,7 +27,7 @@ repos:
       - id: black
         args: ["-l 88"]
   - repo: https://github.com/asottile/pyupgrade
-    rev: v2.16.0
+    rev: v2.18.3
     hooks:
       - id: pyupgrade
         args: [--py36-plus]
@@ -41,12 +41,12 @@ repos:
       - id: isort
         args: ["--profile", "black", "--filter-files"]
   - repo: https://github.com/awslabs/cfn-python-lint
-    rev: v0.49.1
+    rev: v0.49.2
     hooks:
       - id: cfn-python-lint
         name: cfn-python-lint
         entry: cfn-python-lint
-        languge: python
+        language: python
         files: cfn/*.(yaml|yml)
   - repo: https://github.com/pre-commit/mirrors-mypy
     rev: "v0.812" # Use the sha / tag you want to point at
diff --git a/scripts/coxph/preprocessing.py b/scripts/coxph/preprocessing.py
new file mode 100644
index 0000000..b593fcf
--- /dev/null
+++ b/scripts/coxph/preprocessing.py
@@ -0,0 +1,181 @@
+import argparse
+import logging
+import os
+import subprocess
+import sys
+import warnings
+
+
+def install(package):
+    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
+
+
+install("awswrangler==2.4.0")
+
+import awswrangler as wr
+import boto3
+import joblib
+import numpy as np
+import pandas as pd
+from sklearn.compose import ColumnTransformer
+from sklearn.exceptions import DataConversionWarning
+from sklearn.impute import SimpleImputer
+from sklearn.model_selection import train_test_split
+from sklearn.pipeline import Pipeline
+from sklearn.preprocessing import OneHotEncoder, StandardScaler
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+warnings.filterwarnings(action="ignore", category=DataConversionWarning)
+
+col_type = {
+    "state": "category",
+    "account length": "int64",
+    "area code": "str",
+    "int'l plan": "category",
+    "vmail plan": "category",
+    "vmail message": "int64",
+    "day mins": "float64",
+    "day calls": "int64",
+    "day charge": "float64",
+    "eve mins": "float64",
+    "eve calls": "int64",
+    "eve charge": "float64",
+    "night mins": "float64",
+    "night calls": "int64",
+    "night charge": "float64",
+    "intl mins": "float64",
+    "intl calls": "int64",
+    "intl charge": "float64",
+    "custserv calls": "int64",
+    "churn?": "category",
+}
+
+columns = list(col_type.keys())
+target_col = "churn?"
+class_labels = ["True.", "False."]
+
+
+def main(args):
+    """
+    Runs preprocessing for the example data set
+        1. Pulls data from the Athena database
+        2. Splits data into training and testing
+        3. Preprocess categorical and numerical test_features
+        4. Writes preprocessed data to S3
+
+    Args:
+        database (str, required): Athena database to query data from
+        table (str, required): Athena table name to query data from
+        region (str, required): AWS Region for queries
+        train-test-split-ratio (float): Percentage to split the data into
+        , default is 25%
+        random-state (float): Random seed used for train and test split
+        , default is 123
+
+
+    """
+    logger.debug(f"Received arguments {args}")
+    DATABASE, TABLE, REGION = args.database, args.table, args.region
+
+    boto3.setup_default_session(region_name=f"{REGION}")
+    df = wr.athena.read_sql_query(
+        f'SELECT * FROM "{TABLE}"', database=DATABASE, ctas_approach=False
+    )
+    df = df[columns]
+    df = df.astype(col_type)
+    logger.info(df.dtypes)
+
+    df["event"] = np.where(df["churn?"] == "False.", 0, 1)
+    del df["churn?"]
+    df = df.rename(columns={"account length": "duration"})
+
+    df = df.dropna()
+    df = df.drop_duplicates()
+
+    negative_examples, positive_examples = df["event"].value_counts().values
+    print(
+        """Data after cleaning: {}
+            , {} positive examples, {} negative examples""".format(
+            df.shape, positive_examples, negative_examples
+        )
+    )
+
+    train, test = train_test_split(
+        df, test_size=args.train_test_split_ratio, random_state=args.random_state
+    )
+
+    logger.info(train.dtypes)
+
+    numerical_idx = (
+        train.select_dtypes(exclude=["object", "category"])
+        .drop(["event", "duration"], 1)
+        .columns.tolist()
+    )
+
+    categorical_idx = train.select_dtypes(exclude=["float", "int"]).columns.tolist()
+
+    numeric_transformer = Pipeline(
+        steps=[
+            ("imputer", SimpleImputer(strategy="median")),
+            ("scaler", StandardScaler()),
+        ]
+    )
+
+    categorical_transformer = Pipeline(
+        steps=[
+            ("imputer", SimpleImputer(strategy="constant", fill_value="missing")),
+            ("onehot", OneHotEncoder(sparse=False, handle_unknown="ignore")),
+        ]
+    )
+
+    preprocessor = ColumnTransformer(
+        [
+            ("numerical", numeric_transformer, numerical_idx),
+            ("categorical", categorical_transformer, categorical_idx),
+        ],
+        remainder="passthrough",
+    )
+
+    logger.info("Running preprocessing and feature engineering transformations")
+    train_features = preprocessor.fit_transform(train)
+    test_features = preprocessor.transform(test)
+
+    logger.info(f"train features size {train_features.shape}")
+    logger.info(f"test features size {test_features.shape}")
+
+    preprocessor_output_path = os.path.join(
+        "/opt/ml/processing/transformer", "preprocessor.joblib"
+    )
+    joblib.dump(preprocessor, preprocessor_output_path)
+
+    train_features_output_path = os.path.join(
+        "/opt/ml/processing/train", "train_features.csv"
+    )
+
+    test_features_output_path = os.path.join(
+        "/opt/ml/processing/test", "test_features.csv"
+    )
+
+    logger.info(f"Saving training data to {train_features_output_path}")
+    pd.DataFrame(train_features).to_csv(
+        train_features_output_path, header=True, index=False
+    )
+
+    logger.info(f"Saving test data to {test_features_output_path}")
+    pd.DataFrame(test_features).to_csv(
+        test_features_output_path, header=True, index=False
+    )
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--database", type=str, required=True)
+    parser.add_argument("--region", type=str, required=True)
+    parser.add_argument("--table", type=str, required=True)
+    parser.add_argument("--train-test-split-ratio", type=float, default=0.25)
+    parser.add_argument("--random-state", type=float, default=123)
+    args = parser.parse_args()
+
+    main(args)
diff --git a/scripts/coxph/preprocessing_local.py b/scripts/coxph/preprocessing_local.py
new file mode 100644
index 0000000..c90c75e
--- /dev/null
+++ b/scripts/coxph/preprocessing_local.py
@@ -0,0 +1,52 @@
+from sagemaker.local import LocalSession
+from sagemaker.processing import ProcessingInput, ProcessingOutput
+from sagemaker.sklearn.processing import SKLearnProcessor
+
+sagemaker_session = LocalSession()
+sagemaker_session.config = {"local": {"local_code": True}}
+
+# For local training a dummy role will be sufficient
+role = "arn:aws:iam::111111111111:role/service-role/"
+role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
+
+processor = SKLearnProcessor(
+    framework_version="0.23-1",
+    instance_count=1,
+    base_job_name="TrainingPreprocessing",
+    instance_type="local",
+    role=role,
+)
+
+# TO DO: possible to write locally instead of to S3? Mock bucket?
+print("Starting processing job.")
+print(
+    """Note: if launching for the first time in local mode,
+     container image download might take a few minutes to complete."""
+)
+processor.run(
+    code="preprocessing.py",
+    inputs=[
+        ProcessingInput(source="data/", destination="/opt/ml/processing/input_data/")
+    ],
+    outputs=[
+        ProcessingOutput(output_name="train_data", source="/opt/ml/processing/train"),
+        ProcessingOutput(output_name="test_data", source="/opt/ml/processing/test"),
+        ProcessingOutput(
+            output_name="preprocessor", source="/opt/ml/processing/transformer"
+        ),
+    ],
+    arguments=[
+        "--database",
+        #        DATABASE,
+        "--region",
+        sagemaker_session.boto_region_name,
+        "--table",
+        #       TABLE,
+        "--train-test-split-ratio",
+        "0.2",
+    ],
+)
+
+preprocessing_job_description = processor.jobs[-1].describe()
+output_config = preprocessing_job_description["ProcessingOutputConfig"]
+print(output_config)
diff --git a/scripts/coxph/train.py b/scripts/coxph/train.py
new file mode 100644
index 0000000..5c1c36b
--- /dev/null
+++ b/scripts/coxph/train.py
@@ -0,0 +1,133 @@
+import argparse
+import logging
+import os
+import subprocess
+import sys
+
+
+def install(package):
+    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
+
+
+install("xgboost")
+
+import joblib
+import numpy as np
+import pandas as pd
+import xgboost as xgb
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+
+def survival_y_cox(dframe):
+    """Returns array of outcome encoded for XGB"""
+    y_survival = []
+
+    for idx, row in dframe[["duration", "event"]].iterrows():
+        if row["event"]:
+            # uncensored
+            y_survival.append(int(row["duration"]))
+        else:
+            # right censored
+            y_survival.append(-int(row["duration"]))
+    return np.array(y_survival)
+
+
+def main(args):
+    """
+    Runs preprocessing for the example data set
+        1. Pulls data from the Athena database
+        2. Splits data into training and testing
+        3. Preprocess categorical and numerical test_features
+        4. Writes preprocessed data to S3
+
+    Args:
+        database (str, required): Athena database to query data from
+        table (str, required): Athena table name to query data from
+        region (str, required): AWS Region for queries
+        train-test-split-ratio (float): Percentage to split the data into
+        , default is 25%
+        random-state (float): Random seed used for train and test split
+        , default is 123
+
+    """
+    logger.debug(f"Received arguments {args}")
+
+    train_data_path = os.path.join("/opt/ml/input/data/train", args.train_data)
+    test_data_path = os.path.join("/opt/ml/input/data/test", args.test_data)
+
+    train = pd.read_csv(train_data_path, header=0)
+    test = pd.read_csv(test_data_path, header=0)
+
+    train = train.rename(columns={"91": "event", "90": "duration"})
+    test = test.rename(columns={"91": "event", "90": "duration"})
+
+    logger.info(train.shape)
+    logger.info(test.shape)
+
+    y_train = train[["duration", "event"]]
+    y_test = test[["duration", "event"]]
+
+    train = train.drop(["duration", "event"], 1)
+    test = test.drop(["duration", "event"], 1)
+
+    logger.info(train.shape, y_train.shape)
+    logger.info(test.shape, y_test.shape)
+
+    xgb_train = xgb.DMatrix(train, label=survival_y_cox(y_train))
+    xgb_test = xgb.DMatrix(test, label=survival_y_cox(y_test))
+
+    callbacks = [xgb.callback.EvaluationMonitor(period=20)]
+
+    params = {
+        "eta": args.eta,
+        "max_depth": args.max_depth,
+        "objective": args.objective,
+        "tree_method": args.tree_method,
+        "min_child_weight": args.min_child_weight,
+        "gamma": args.gamma,
+        "alpha": args.alpha,
+        "subsample": args.subsample,
+        "seed": args.seed,
+    }
+
+    logger.info(f"pramas set to {params}")
+
+    model = xgb.train(
+        params,
+        xgb_train,
+        num_boost_round=args.num_boost_round,
+        evals=[(xgb_train, "train"), (xgb_test, "val")],
+        early_stopping_rounds=10,
+        callbacks=callbacks,
+        verbose_eval=0,
+    )
+
+    logger.info(f"Best score of model is {model.best_score}")
+
+    joblib.dump(model, os.path.join(args.model_dir, "model.joblib"))
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--model-name", type=str, default="xgboost-model")
+    parser.add_argument("--test-data", type=str, default="test_features.csv")
+    parser.add_argument("--train-data", type=str, default="train_features.csv")
+    parser.add_argument("--model-dir", type=str, default=os.environ["SM_MODEL_DIR"])
+    parser.add_argument("--seed", type=int, default=123)
+
+    # HYPERPARAMETERS
+    parser.add_argument("--objective", type=str, default="survival:cox")
+    parser.add_argument("--eta", type=float, default=0.1)
+    parser.add_argument("--max-depth", type=int, default=3)
+    parser.add_argument("--subsample", type=float, default=0.8)
+    parser.add_argument("--gamma", type=float, default=0.0)
+    parser.add_argument("--min-child-weight", type=int, default=1)
+    parser.add_argument("--tree-method", type=str, default="hist")
+    parser.add_argument("--alpha", type=float, default=0.0)
+
+    args = parser.parse_args()
+
+    main(args)
diff --git a/scripts/coxph/train_local.py b/scripts/coxph/train_local.py
new file mode 100644
index 0000000..de13951
--- /dev/null
+++ b/scripts/coxph/train_local.py
@@ -0,0 +1,25 @@
+from sagemaker.local import LocalSession
+from sagemaker.sklearn.estimator import SKLearn
+
+sagemaker_session = LocalSession()
+sagemaker_session.config = {"local": {"local_code": True}}
+
+# For local training a dummy role will be sufficient
+role = "arn:aws:iam::111111111111:role/service-role/"
+role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
+
+sklearn = SKLearn(
+    entry_point="/home/ec2-user/SageMaker/surv/train.py",
+    framework_version="0.23-1",
+    instance_type="local",
+    role=role,
+    base_job_name="training_job",
+    sagemaker_session=sagemaker_session,
+)
+
+# sklearn.fit({"train": train_data_location, "test": test_data_location})
+
+training_job_description = sklearn.jobs[-1].describe()
+training_output_config = training_job_description["ModelArtifacts"]
+
+print(training_output_config)

From abc8522abf814a05eee33613b34fd91fb2c29918 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 10:09:31 +0900
Subject: [PATCH 05/29] adding preprocessing

---
 .pre-commit-config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 3ccae2b..24ce4d1 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -47,7 +47,7 @@ repos:
         name: cfn-python-lint
         entry: cfn-python-lint
         language: python
-        files: cfn/*.(yaml|yml)
+        files: cfn/(yaml|yml)
   - repo: https://github.com/pre-commit/mirrors-mypy
     rev: "v0.812" # Use the sha / tag you want to point at
     hooks:

From 56f3eee581036fafca42d78a1aea299614d5614e Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 10:10:21 +0900
Subject: [PATCH 06/29] adding preprocessing

---
 .pre-commit-config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 24ce4d1..c51c465 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -47,7 +47,7 @@ repos:
         name: cfn-python-lint
         entry: cfn-python-lint
         language: python
-        files: cfn/(yaml|yml)
+        files: cfn/.(json|yaml|yml)$
   - repo: https://github.com/pre-commit/mirrors-mypy
     rev: "v0.812" # Use the sha / tag you want to point at
     hooks:

From 271b7afc911b104e3b39261f07aee78a4853ff51 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 10:47:51 +0900
Subject: [PATCH 07/29] adding preprocessing

---
 scripts/coxph_preprocessing.py | 207 +++++++++++++++++++++++++++++++++
 1 file changed, 207 insertions(+)
 create mode 100644 scripts/coxph_preprocessing.py

diff --git a/scripts/coxph_preprocessing.py b/scripts/coxph_preprocessing.py
new file mode 100644
index 0000000..d19ce9f
--- /dev/null
+++ b/scripts/coxph_preprocessing.py
@@ -0,0 +1,207 @@
+import argparse
+import logging
+import os
+import subprocess
+import sys
+import warnings
+
+
+def install(package):
+    subprocess.check_call(
+        [sys.executable, "-m", "pip", "install", package]
+        # quietly
+        ,
+        stdout=open(os.devnull, "wb"),
+    )
+
+
+install("awswrangler==2.4.0")
+install("scikit-learn==0.24.1")
+
+import awswrangler as wr
+import boto3
+import joblib
+import numpy as np
+import pandas as pd
+from sklearn.compose import ColumnTransformer
+from sklearn.exceptions import DataConversionWarning
+from sklearn.impute import SimpleImputer
+from sklearn.model_selection import train_test_split
+from sklearn.pipeline import Pipeline
+from sklearn.preprocessing import OneHotEncoder, StandardScaler
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+warnings.filterwarnings(action="ignore", category=DataConversionWarning)
+
+col_type = {
+    "state": "category",
+    "account length": "int64",
+    "area code": "str",
+    "int'l plan": "category",
+    "vmail plan": "category",
+    "vmail message": "int64",
+    "day mins": "float64",
+    "day calls": "int64",
+    "day charge": "float64",
+    "eve mins": "float64",
+    "eve calls": "int64",
+    "eve charge": "float64",
+    "night mins": "float64",
+    "night calls": "int64",
+    "night charge": "float64",
+    "intl mins": "float64",
+    "intl calls": "int64",
+    "intl charge": "float64",
+    "custserv calls": "int64",
+    "churn?": "category",
+}
+
+columns = list(col_type.keys())
+target_col = "churn?"
+class_labels = ["True.", "False."]
+
+
+def survival_y_cox(dframe):
+    """Returns array of outcome encoded for XGB"""
+    y_survival = []
+
+    for idx, row in dframe[["duration", "event"]].iterrows():
+        if row["event"]:
+            # uncensored
+            y_survival.append(int(row["duration"]))
+        else:
+            # right censored
+            y_survival.append(-int(row["duration"]))
+    return np.array(y_survival)
+
+
+def main(args):
+    """
+    Runs preprocessing for the example data set
+        1. Pulls data from the Athena database
+        2. Splits data into training and testing
+        3. Preprocess categorical and numerical test_features
+        4. Writes preprocessed data to S3
+
+    Args:
+        database (str, required): Athena database to query data from
+        table (str, required): Athena table name to query data from
+        region (str, required): AWS Region for queries
+        train-test-split-ratio (float): Percentage to split the data into
+        , default is 25%
+        random-state (float): Random seed used for train and test split
+        , default is 123
+
+
+    """
+    logger.debug(f"Received arguments {args}")
+    DATABASE, TABLE, REGION = args.database, args.table, args.region
+
+    logger.info("Querying Athena...")
+    boto3.setup_default_session(region_name=f"{REGION}")
+    df = wr.athena.read_sql_query(
+        f'SELECT * FROM "{TABLE}"', database=DATABASE, ctas_approach=False
+    )
+    df = df[columns]
+    df = df.astype(col_type)
+    logger.info(df.dtypes)
+
+    df["event"] = np.where(df["churn?"] == "False.", 0, 1)
+    del df["churn?"]
+    df = df.rename(columns={"account length": "duration"})
+
+    df = df.dropna()
+    df = df.drop_duplicates()
+
+    negative_examples, positive_examples = df["event"].value_counts().values
+    print(
+        """Data after cleaning: {}
+            , {} positive examples, {} negative examples""".format(
+            df.shape, positive_examples, negative_examples
+        )
+    )
+
+    y = survival_y_cox(df)
+    X = df.drop(["event", "duration"], 1)
+
+    X_train, X_test, y_train, y_test = train_test_split(
+        X, y, test_size=args.train_test_split_ratio, random_state=args.random_state
+    )
+
+    logger.info(X_train.dtypes)
+
+    numerical_idx = X_train.select_dtypes(
+        exclude=["object", "category"]
+    ).columns.tolist()
+
+    categorical_idx = X_train.select_dtypes(exclude=["float", "int"]).columns.tolist()
+
+    numeric_transformer = Pipeline(
+        steps=[
+            ("imputer", SimpleImputer(strategy="median")),
+            ("scaler", StandardScaler()),
+        ]
+    )
+
+    categorical_transformer = Pipeline(
+        steps=[
+            ("imputer", SimpleImputer(strategy="constant", fill_value="missing")),
+            ("onehot", OneHotEncoder(sparse=False, handle_unknown="ignore")),
+        ]
+    )
+
+    preprocessor = ColumnTransformer(
+        [
+            ("numerical", numeric_transformer, numerical_idx),
+            ("categorical", categorical_transformer, categorical_idx),
+        ],
+        remainder="passthrough",
+    )
+
+    logger.info("Running preprocessing and feature engineering transformations")
+    train_features = preprocessor.fit_transform(X_train)
+    test_features = preprocessor.transform(X_test)
+
+    logger.info(f"train features size {train_features.shape}")
+    logger.info(f"test features size {test_features.shape}")
+
+    # adding back the target as the first columan for XGB
+    train_features = np.hstack((y_train.reshape(-1, 1), train_features))
+    test_features = np.hstack((y_test.reshape(-1, 1), test_features))
+
+    preprocessor_output_path = os.path.join(
+        "/opt/ml/processing/transformer", "preprocessor.joblib"
+    )
+    joblib.dump(preprocessor, preprocessor_output_path)
+
+    train_features_output_path = os.path.join(
+        "/opt/ml/processing/train", "train_features.csv"
+    )
+
+    test_features_output_path = os.path.join(
+        "/opt/ml/processing/test", "test_features.csv"
+    )
+
+    logger.info(f"Saving training data to {train_features_output_path}")
+    pd.DataFrame(train_features).to_csv(
+        train_features_output_path, header=True, index=False
+    )
+
+    logger.info(f"Saving test data to {test_features_output_path}")
+    pd.DataFrame(test_features).to_csv(
+        test_features_output_path, header=True, index=False
+    )
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--database", type=str, required=True)
+    parser.add_argument("--region", type=str, required=True)
+    parser.add_argument("--table", type=str, required=True)
+    parser.add_argument("--train-test-split-ratio", type=float, default=0.25)
+    parser.add_argument("--random-state", type=float, default=123)
+    args = parser.parse_args()
+
+    main(args)

From d565de29be5d78a365ddc152a92e44f05e706103 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 11:35:56 +0900
Subject: [PATCH 08/29] template switching

---
 ...line.yaml => classification_pipeline.yaml} |    0
 cfn/time_to_event_pipeline.yaml               | 1163 +++++++++++++++++
 standup.sh                                    |   15 +-
 3 files changed, 1176 insertions(+), 2 deletions(-)
 rename cfn/{pipeline.yaml => classification_pipeline.yaml} (100%)
 create mode 100644 cfn/time_to_event_pipeline.yaml

diff --git a/cfn/pipeline.yaml b/cfn/classification_pipeline.yaml
similarity index 100%
rename from cfn/pipeline.yaml
rename to cfn/classification_pipeline.yaml
diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
new file mode 100644
index 0000000..97faa89
--- /dev/null
+++ b/cfn/time_to_event_pipeline.yaml
@@ -0,0 +1,1163 @@
+AWSTemplateFormatVersion: "2010-09-09"
+Description: "Training/Inference Pipeline"
+
+Parameters:
+  AthenaDatabaseName:
+    Description: "Which Athena Database to Use?"
+    Type: String
+    Default: "churnblog"
+
+  PipelineBucketName:
+    Description: "Which Bucket is Used for the Training/Inference Pipelines?"
+    Type: String
+    Default: "train-inference-pipeline"
+
+Mappings:
+  AWSRegionArch2DebuggerImageRegistry:
+    af-south-1:
+      id: 314341159256
+    ap-east-1:
+      id: 199566480951
+    ap-northeast-1:
+      id: 430734990657
+    ap-northeast-2:
+      id: 578805364391
+    ap-south-1:
+      id: 904829902805
+    ap-southeast-1:
+      id: 972752614525
+    ap-southeast-2:
+      id: 184798709955
+    ca-central-1:
+      id: 519511493484
+    cn-north-1:
+      id: 618459771430
+    cn-northwest-1:
+      id: 658757709296
+    eu-central-1:
+      id: 482524230118
+    eu-north-1:
+      id: 314864569078
+    eu-south-1:
+      id: 563282790590
+    eu-west-1:
+      id: 929884845733
+    eu-west-2:
+      id: 250201462417
+    eu-west-3:
+      id: 447278800020
+    me-south-1:
+      id: 986000313247
+    sa-east-1:
+      id: 818342061345
+    us-east-1:
+      id: 503895931360
+    us-east-2:
+      id: 915447279597
+    us-west-1:
+      id: 685455198987
+    us-west-2:
+      id: 895741380848
+    us-gov-west-1:
+      id: 515509971035
+
+  AWSRegionArch2XGBoostImageRegistry:
+    us-east-1:
+      id: 683313688378
+    us-east-2:
+      id: 257758044811
+    us-west-1:
+      id: 746614075791
+    us-west-2:
+      id: 246618743249
+    ca-central-1:
+      id: 341280168497
+    eu-west-1:
+      id: 141502667606
+    eu-west-2:
+      id: 764974769150
+    eu-central-1:
+      id: 492215442770
+    eu-west-3:
+      id: 659782779980
+    eu-north-1:
+      id: 662702820516
+    ap-east-1:
+      id: 651117190479
+    ap-northeast-1:
+      id: 354813040037
+    ap-northeast-2:
+      id: 366743142698
+    ap-southeast-1:
+      id: 121021644041
+    ap-southeast-2:
+      id: 783357654285
+    ap-south-1:
+      id: 720646828776
+    me-south-1:
+      id: 801668240914
+    sa-east-1:
+      id: 737474898029
+    us-gov-west-1:
+      id: 414596584902
+    us-iso-east-1:
+      id: 833128469047
+    cn-north-1:
+      id: 450853457545
+    cn-northwest-1:
+      id: 451049120500
+
+Resources:
+  IAMRoleStepFunction:
+    Type: "AWS::IAM::Role"
+    Properties:
+      Path: "/"
+      RoleName: "AmazonSageMaker-StepFunctionsWorkflowExecutionRole-TIP"
+      AssumeRolePolicyDocument:
+        Version: 2012-10-17
+        Statement:
+          - Effect: Allow
+            Principal:
+              Service:
+                - states.amazonaws.com
+            Action:
+              - "sts:AssumeRole"
+      MaxSessionDuration: 3600
+      ManagedPolicyArns:
+        - "arn:aws:iam::aws:policy/service-role/AWSLambdaRole"
+        - "arn:aws:iam::aws:policy/CloudWatchEventsFullAccess"
+        - !Ref IAMManagedPolicyStepFunction
+      Description: "Allows Step Functions to access AWS resources on your behalf."
+
+  IAMManagedPolicyS3Access:
+    Type: "AWS::IAM::ManagedPolicy"
+    Properties:
+      ManagedPolicyName: "AmazonSageMaker-ExecutionPolicy-TrainingInferencePipeline"
+      Path: "/service-role/"
+      PolicyDocument: |
+        {
+            "Version": "2012-10-17",
+            "Statement": [
+                {
+                    "Effect": "Allow",
+                    "Action": [
+                        "s3:GetBucketLocation",
+                        "s3:GetObject",
+                        "s3:ListBucket",
+                        "s3:ListBucketMultipartUploads",
+                        "s3:ListMultipartUploadParts",
+                        "s3:AbortMultipartUpload",
+                        "s3:DeleteObject",
+                        "s3:CreateBucket",
+                        "s3:PutObject"
+                    ],
+                    "Resource": [
+                        "arn:aws:s3:::*"
+                    ]
+                }
+            ]
+        }
+
+  IAMRoleSageMaker:
+    Type: "AWS::IAM::Role"
+    Properties:
+      Path: "/service-role/"
+      RoleName: "AmazonSageMaker-ExecutionRole-TrainingInferencePipeline"
+      AssumeRolePolicyDocument:
+        Version: 2012-10-17
+        Statement:
+          - Effect: Allow
+            Principal:
+              Service:
+                - sagemaker.amazonaws.com
+            Action:
+              - "sts:AssumeRole"
+      MaxSessionDuration: 3600
+      ManagedPolicyArns:
+        - "arn:aws:iam::aws:policy/service-role/AWSGlueServiceRole"
+        - "arn:aws:iam::aws:policy/AWSStepFunctionsFullAccess"
+        - "arn:aws:iam::aws:policy/AmazonSageMakerFullAccess"
+        - !Ref IAMManagedPolicyS3Access
+      Description: "SageMaker execution role created from the SageMaker AWS Management Console."
+
+  IAMManagedPolicyStepFunction:
+    Type: "AWS::IAM::ManagedPolicy"
+    Properties:
+      ManagedPolicyName: "AmazonSageMaker-StepFunctionsWorkflowExecutionPolicy-TrainingInferencePipeline"
+      Path: "/"
+      PolicyDocument: !Sub |
+        {
+            "Version": "2012-10-17",
+            "Statement": [
+                {
+                    "Sid": "VisualEditor0",
+                    "Effect": "Allow",
+                    "Action": [
+                        "events:PutTargets",
+                        "events:DescribeRule",
+                        "events:PutRule"
+                    ],
+                    "Resource": [
+                        "arn:aws:events:*:*:rule/StepFunctionsGetEventsForSageMakerTrainingJobsRule",
+                        "arn:aws:events:*:*:rule/StepFunctionsGetEventsForSageMakerTransformJobsRule",
+                        "arn:aws:events:*:*:rule/StepFunctionsGetEventsForSageMakerTuningJobsRule",
+                        "arn:aws:events:*:*:rule/StepFunctionsGetEventsForECSTaskRule",
+                        "arn:aws:events:*:*:rule/StepFunctionsGetEventsForBatchJobsRule"
+                    ]
+                },
+                {
+                    "Sid": "VisualEditor1",
+                    "Effect": "Allow",
+                    "Action": "iam:PassRole",
+                    "Resource": "arn:aws:iam::${AWS::AccountId}:role/service-role/${IAMRoleSageMaker}",
+                    "Condition": {
+                        "StringEquals": {
+                            "iam:PassedToService": "sagemaker.amazonaws.com"
+                        }
+                    }
+                },
+                {
+                    "Sid": "VisualEditor2",
+                    "Effect": "Allow",
+                    "Action": [
+                        "batch:DescribeJobs",
+                        "batch:SubmitJob",
+                        "batch:TerminateJob",
+                        "dynamodb:DeleteItem",
+                        "dynamodb:GetItem",
+                        "dynamodb:PutItem",
+                        "dynamodb:UpdateItem",
+                        "ecs:DescribeTasks",
+                        "ecs:RunTask",
+                        "ecs:StopTask",
+                        "glue:BatchStopJobRun",
+                        "glue:GetJobRun",
+                        "glue:GetJobRuns",
+                        "glue:StartJobRun",
+                        "lambda:InvokeFunction",
+                        "sagemaker:CreateEndpoint",
+                        "sagemaker:CreateEndpointConfig",
+                        "sagemaker:CreateHyperParameterTuningJob",
+                        "sagemaker:CreateModel",
+                        "sagemaker:CreateProcessingJob",
+                        "sagemaker:CreateTrainingJob",
+                        "sagemaker:CreateTransformJob",
+                        "sagemaker:DeleteEndpoint",
+                        "sagemaker:DeleteEndpointConfig",
+                        "sagemaker:DescribeHyperParameterTuningJob",
+                        "sagemaker:DescribeProcessingJob",
+                        "sagemaker:DescribeTrainingJob",
+                        "sagemaker:DescribeTransformJob",
+                        "sagemaker:ListProcessingJobs",
+                        "sagemaker:ListTags",
+                        "sagemaker:StopHyperParameterTuningJob",
+                        "sagemaker:StopProcessingJob",
+                        "sagemaker:StopTrainingJob",
+                        "sagemaker:StopTransformJob",
+                        "sagemaker:UpdateEndpoint",
+                        "sns:Publish",
+                        "sqs:SendMessage"
+                    ],
+                    "Resource": "*"
+                }
+            ]
+        }
+
+  StepFunctionsStateMachineTraining:
+    Type: "AWS::StepFunctions::StateMachine"
+    Properties:
+      StateMachineName: "SageMakerPreproTrainWorkflow"
+      DefinitionString: !Sub
+        - |
+          {
+            "StartAt": "SageMaker Training Step Preprocessing",
+            "States": {
+                "SageMaker Training Step Preprocessing": {
+                    "Resource": "arn:aws:states:::sagemaker:createProcessingJob.sync",
+                    "Parameters": {
+                        "ProcessingJobName.$": "$$.Execution.Input['PreprocessingJobName']",
+                        "ProcessingInputs": [
+                            {
+                                "InputName": "code",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri": "s3://${PipelineBucketName}/script/coxph_preprocessing.py",
+                                    "LocalPath": "/opt/ml/processing/input/code",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            }
+                        ],
+                        "ProcessingOutputConfig": {
+                            "Outputs": [
+                                {
+                                    "OutputName": "train_data",
+                                    "AppManaged": false,
+                                    "S3Output": {
+                                        "S3Uri": "s3://${PipelineBucketName}/data/train_data",
+                                        "LocalPath": "/opt/ml/processing/train",
+                                        "S3UploadMode": "EndOfJob"
+                                    }
+                                },
+                                {
+                                    "OutputName": "test_data",
+                                    "AppManaged": false,
+                                    "S3Output": {
+                                        "S3Uri": "s3://${PipelineBucketName}/data/test_data",
+                                        "LocalPath": "/opt/ml/processing/test",
+                                        "S3UploadMode": "EndOfJob"
+                                    }
+                                },
+                                {
+                                    "OutputName": "preprocessor",
+                                    "AppManaged": false,
+                                    "S3Output": {
+                                        "S3Uri": "s3://${PipelineBucketName}/model/preprocessor",
+                                        "LocalPath": "/opt/ml/processing/transformer",
+                                        "S3UploadMode": "EndOfJob"
+                                    }
+                                }
+                            ]
+                        },
+                        "AppSpecification": {
+                            "ImageUri": "${XgbImageID}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3",
+                            "ContainerArguments": [
+                                "--database",
+                                "${AthenaDatabaseName}",
+                                "--region",
+                                "${AWS::Region}",
+                                "--table",
+                                "train",
+                                "--train-test-split-ratio",
+                                "0.2"
+                            ],
+                            "ContainerEntrypoint": [
+                                "python3",
+                                "/opt/ml/processing/input/code/coxph_preprocessing.py"
+                            ]
+                        },
+                        "RoleArn": "arn:aws:iam::${AWS::AccountId}:role/service-role/AmazonSageMaker-ExecutionRole-TrainingInferencePipeline",
+                        "ProcessingResources": {
+                            "ClusterConfig": {
+                                "InstanceCount": 1,
+                                "InstanceType": "ml.m5.xlarge",
+                                "VolumeSizeInGB": 30
+                            }
+                        },
+                        "StoppingCondition": {
+                            "MaxRuntimeInSeconds": 1200
+                        }
+                    },
+                    "Type": "Task",
+                    "Next": "SageMaker HyperParameter Tuning Step",
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "SageMaker HyperParameter Tuning Step": {
+                    "Resource": "arn:aws:states:::sagemaker:createHyperParameterTuningJob.sync",
+                    "Parameters": {
+                        "HyperParameterTuningJobName.$": "$$.Execution.Input['TuningJobName']",
+                        "HyperParameterTuningJobConfig": {
+                            "Strategy": "Bayesian",
+                            "ResourceLimits": {
+                                "MaxNumberOfTrainingJobs": 24,
+                                "MaxParallelTrainingJobs": 4
+                            },
+                            "TrainingJobEarlyStoppingType": "Auto",
+                            "HyperParameterTuningJobObjective": {
+                                "Type": "Minimize",
+                                "MetricName": "validation:cox-nloglik"
+                            },
+                            "ParameterRanges": {
+                                "ContinuousParameterRanges": [
+                                    {
+                                        "Name": "eta",
+                                        "MinValue": "0",
+                                        "MaxValue": "1",
+                                        "ScalingType": "Auto"
+                                    },
+                                    {
+                                        "Name": "min_child_weight",
+                                        "MinValue": "1",
+                                        "MaxValue": "10",
+                                        "ScalingType": "Auto"
+                                    },
+                                    {
+                                        "Name": "alpha",
+                                        "MinValue": "0",
+                                        "MaxValue": "2",
+                                        "ScalingType": "Auto"
+                                    }
+                                ],
+                                "CategoricalParameterRanges": [],
+                                "IntegerParameterRanges": [
+                                    {
+                                        "Name": "max_depth",
+                                        "MinValue": "1",
+                                        "MaxValue": "10",
+                                        "ScalingType": "Auto"
+                                    }
+                                ]
+                            }
+                        },
+                        "TrainingJobDefinition": {
+                            "AlgorithmSpecification": {
+                                "TrainingImage": "${XgbImageID}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-xgboost:1.2-1",
+                                "TrainingInputMode": "File"
+                            },
+                            "OutputDataConfig": {
+                                "S3OutputPath": "s3://${PipelineBucketName}/tuner/"
+                            },
+                            "StoppingCondition": {
+                                "MaxRuntimeInSeconds": 86400
+                            },
+                            "ResourceConfig": {
+                                "InstanceCount": 1,
+                                "InstanceType": "ml.m4.xlarge",
+                                "VolumeSizeInGB": 30
+                            },
+                            "RoleArn": "arn:aws:iam::${AWS::AccountId}:role/service-role/AmazonSageMaker-ExecutionRole-TrainingInferencePipeline",
+                            "InputDataConfig": [
+                                {
+                                    "DataSource": {
+                                        "S3DataSource": {
+                                            "S3DataType": "S3Prefix",
+                                            "S3Uri": "s3://${PipelineBucketName}/data/train_data",
+                                            "S3DataDistributionType": "FullyReplicated"
+                                        }
+                                    },
+                                    "ContentType": "text/csv",
+                                    "ChannelName": "train"
+                                },
+                                {
+                                    "DataSource": {
+                                        "S3DataSource": {
+                                            "S3DataType": "S3Prefix",
+                                            "S3Uri": "s3://${PipelineBucketName}/data/test_data",
+                                            "S3DataDistributionType": "FullyReplicated"
+                                        }
+                                    },
+                                    "ContentType": "text/csv",
+                                    "ChannelName": "validation"
+                                }
+                            ],
+                            "StaticHyperParameters": {
+                                "objective": "survival:cox",
+                                "num_round": "5",
+                                "tweedie_variance_power": "1.4"
+                            }
+                        }
+                    },
+                    "Type": "Task",
+                    "Next": "SageMaker Step Getting Best HyperParameter",
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "SageMaker Step Getting Best HyperParameter": {
+                    "Parameters": {
+                        "FunctionName": "${LambdaFunctionBestHyper}",
+                        "Payload": {
+                            "TrainingJobName.$": "$.BestTrainingJob"
+                        }
+                    },
+                    "OutputPath": "$.Payload.body.bestHyperParameter",
+                    "Resource": "arn:aws:states:::lambda:invoke",
+                    "Type": "Task",
+                    "Next": "SageMaker Training Step",
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "SageMaker Training Step": {
+                    "Resource": "arn:aws:states:::sagemaker:createTrainingJob.sync",
+                    "Parameters": {
+                        "AlgorithmSpecification": {
+                            "TrainingImage": "${XgbImageID}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-xgboost:1.2-1",
+                            "TrainingInputMode": "File"
+                        },
+                        "OutputDataConfig": {
+                            "S3OutputPath": "s3://${PipelineBucketName}/config"
+                        },
+                        "StoppingCondition": {
+                            "MaxRuntimeInSeconds": 1800
+                        },
+                        "ResourceConfig": {
+                            "InstanceCount": 3,
+                            "InstanceType": "ml.m5.4xlarge",
+                            "VolumeSizeInGB": 30
+                        },
+                        "RoleArn": "arn:aws:iam::${AWS::AccountId}:role/service-role/AmazonSageMaker-ExecutionRole-TrainingInferencePipeline",
+                        "InputDataConfig": [
+                            {
+                                "DataSource": {
+                                    "S3DataSource": {
+                                        "S3DataType": "S3Prefix",
+                                        "S3Uri": "s3://${PipelineBucketName}/data/train_data",
+                                        "S3DataDistributionType": "FullyReplicated"
+                                    }
+                                },
+                                "ContentType": "text/csv",
+                                "ChannelName": "train"
+                            },
+                            {
+                                "DataSource": {
+                                    "S3DataSource": {
+                                        "S3DataType": "S3Prefix",
+                                        "S3Uri": "s3://${PipelineBucketName}/data/test_data",
+                                        "S3DataDistributionType": "FullyReplicated"
+                                    }
+                                },
+                                "ContentType": "text/csv",
+                                "ChannelName": "validation"
+                            }
+                        ],
+                        "TrainingJobName.$": "$$.Execution.Input['TrainingJobName']",
+                        "DebugHookConfig": {
+                            "S3OutputPath": "s3://${PipelineBucketName}/debug",
+                            "HookParameters": {
+                                "save_interval": "5",
+                                "include_regex": ".*"
+                            },
+                            "CollectionConfigurations": [
+                                {
+                                    "CollectionName": "metrics"
+                                },
+                                {
+                                    "CollectionName": "feature_importance"
+                                },
+                                {
+                                    "CollectionName": "full_shap"
+                                },
+                                {
+                                    "CollectionName": "average_shap"
+                                }
+                            ]
+                        },
+                        "DebugRuleConfigurations": [
+                            {
+                                "RuleConfigurationName": "LossNotDecreasing",
+                                "RuleEvaluatorImage": "${DebuggerImageId}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-debugger-rules:latest",
+                                "RuleParameters": {
+                                    "rule_to_invoke": "LossNotDecreasing",
+                                    "collection_names": "metrics",
+                                    "num_steps": "10"
+                                }
+                            }
+                        ],
+                        "HyperParameters.$": "$"
+                    },
+                    "Type": "Task",
+                    "Next": "SageMaker Step Save Model",
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "SageMaker Step Save Model": {
+                    "Parameters": {
+                        "ExecutionRoleArn": "arn:aws:iam::${AWS::AccountId}:role/service-role/AmazonSageMaker-ExecutionRole-TrainingInferencePipeline",
+                        "ModelName.$": "$$.Execution.Input['ModelName']",
+                        "PrimaryContainer": {
+                            "Environment": {},
+                            "Image": "${XgbImageID}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-xgboost:1.2-1",
+                            "ModelDataUrl.$": "$['ModelArtifacts']['S3ModelArtifacts']"
+                        }
+                    },
+                    "Resource": "arn:aws:states:::sagemaker:createModel",
+                    "Type": "Task",
+                    "Next": "SageMaker Step Get Model Url",
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "SageMaker Step Get Model Url": {
+                    "Parameters": {
+                        "FunctionName": "${LambdaFunctionGetModelData}",
+                        "Payload": {
+                            "TrainingJobName.$": "$"
+                        }
+                    },
+                    "OutputPath": "$.Payload.body",
+                    "Resource": "arn:aws:states:::lambda:invoke",
+                    "Type": "Task",
+                    "Next": "SageMaker Step Model Explainability",
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "SageMaker Step Model Explainability": {
+                    "Resource": "arn:aws:states:::sagemaker:createProcessingJob.sync",
+                    "Parameters": {
+                        "ProcessingJobName.$": "$$.Execution.Input['EvaluationProcessingJobName']",
+                        "ProcessingInputs": [
+                            {
+                                "InputName": "train_data",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri": "s3://${PipelineBucketName}/data/train_data",
+                                    "LocalPath": "/opt/ml/processing/train",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            },
+                            {
+                                "InputName": "test_data",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri": "s3://${PipelineBucketName}/data/test_data",
+                                    "LocalPath": "/opt/ml/processing/test",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            },
+                            {
+                                "InputName": "model",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri.$": "$['modelDataUrl']",
+                                    "LocalPath": "/opt/ml/processing/model",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            },
+                            {
+                                "InputName": "code",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri": "s3://${PipelineBucketName}/script/evaluation.py",
+                                    "LocalPath": "/opt/ml/processing/input/code",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            },
+                            {
+                                "InputName": "shap",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri.$": "$['train_debug_path']",
+                                    "LocalPath": "/opt/ml/processing/debug/",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            }
+                        ],
+                        "ProcessingOutputConfig": {
+                            "Outputs": [
+                                {
+                                    "OutputName": "evaluation",
+                                    "AppManaged": false,
+                                    "S3Output": {
+                                        "S3Uri": "s3://${PipelineBucketName}/evaluation/metric",
+                                        "LocalPath": "/opt/ml/processing/evaluation",
+                                        "S3UploadMode": "EndOfJob"
+                                    }
+                                },
+                                {
+                                    "OutputName": "plot",
+                                    "AppManaged": false,
+                                    "S3Output": {
+                                        "S3Uri": "s3://${PipelineBucketName}/evaluation/shap",
+                                        "LocalPath": "/opt/ml/processing/plot",
+                                        "S3UploadMode": "EndOfJob"
+                                    }
+                                }
+                            ]
+                        },
+                        "AppSpecification": {
+                            "ImageUri": "${XgbImageID}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3",
+                            "ContainerEntrypoint": [
+                                "python3",
+                                "/opt/ml/processing/input/code/evaluation.py"
+                            ]
+                        },
+                        "RoleArn": "arn:aws:iam::${AWS::AccountId}:role/service-role/AmazonSageMaker-ExecutionRole-TrainingInferencePipeline",
+                        "ProcessingResources": {
+                            "ClusterConfig": {
+                                "InstanceCount": 1,
+                                "InstanceType": "ml.m5.xlarge",
+                                "VolumeSizeInGB": 30
+                            }
+                        },
+                        "StoppingCondition": {
+                            "MaxRuntimeInSeconds": 1200
+                        }
+                    },
+                    "Type": "Task",
+                    "End": true,
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "ML Workflow failed": {
+                    "Cause": "SageMakerProcessingJobFailed",
+                    "Type": "Fail"
+                }
+            }
+          }
+        - {
+            XgbImageID:
+              !FindInMap [
+                AWSRegionArch2XGBoostImageRegistry,
+                !Ref "AWS::Region",
+                id,
+              ],
+            DebuggerImageId:
+              !FindInMap [
+                AWSRegionArch2DebuggerImageRegistry,
+                !Ref "AWS::Region",
+                id,
+              ],
+          }
+      RoleArn: !GetAtt IAMRoleStepFunction.Arn
+      StateMachineType: "STANDARD"
+      LoggingConfiguration:
+        # Destinations:
+        # - CloudWatchLogsLogGroup:
+        # LogGroupArn: !Sub "arn:aws:logs:${AWS::Region}:${AWS::AccountId}:log-group:/aws/vendedlogs/states/SageMakerProcessTrainWorkflow-Log:*"
+        IncludeExecutionData: true
+        Level: "OFF"
+
+  StepFunctionsStateMachineInference:
+    Type: "AWS::StepFunctions::StateMachine"
+    Properties:
+      StateMachineName: "SageMakerPreproInferWorkflow"
+      DefinitionString: !Sub
+        - |
+          {
+            "StartAt": "SageMaker Inference Step Preprocessing",
+            "States": {
+                "SageMaker Inference Step Preprocessing": {
+                    "Resource": "arn:aws:states:::sagemaker:createProcessingJob.sync",
+                    "Parameters": {
+                        "ProcessingJobName.$": "$$.Execution.Input['PreprocessingJobName']",
+                        "ProcessingInputs": [
+                            {
+                                "InputName": "code",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri": "s3://${PipelineBucketName}/script/inferpreprocessing.py",
+                                    "LocalPath": "/opt/ml/processing/input/code",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            },                                  
+                            {
+                                "InputName": "processing_joblib",
+                                "AppManaged": false,
+                                "S3Input": {
+                                    "S3Uri": "s3://${PipelineBucketName}/model/preprocessor/preprocessor.joblib",
+                                    "LocalPath": "/opt/ml/processing/transformer",
+                                    "S3DataType": "S3Prefix",
+                                    "S3InputMode": "File",
+                                    "S3DataDistributionType": "FullyReplicated",
+                                    "S3CompressionType": "None"
+                                }
+                            }
+                        ],
+                        "ProcessingOutputConfig": {
+                            "Outputs": [
+                                {
+                                    "OutputName": "infer_data",
+                                    "AppManaged": false,
+                                    "S3Output": {
+                                        "S3Uri": "s3://${PipelineBucketName}/data/intermediate/infer_data",
+                                        "LocalPath": "/opt/ml/processing/infer",
+                                        "S3UploadMode": "EndOfJob"
+                                    }
+                                }
+                            ]
+                        },
+                        "AppSpecification": {
+                            "ImageUri": "${XgbImageID}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3",
+                            "ContainerArguments": [
+                                "--database",
+                                "${AthenaDatabaseName}",
+                                "--region",
+                                "${AWS::Region}",
+                                "--table",
+                                "infer"
+                            ],
+                            "ContainerEntrypoint": [
+                                "python3",
+                                "/opt/ml/processing/input/code/inferpreprocessing.py"
+                            ]
+                        },
+                        "RoleArn": "arn:aws:iam::${AWS::AccountId}:role/service-role/AmazonSageMaker-ExecutionRole-TrainingInferencePipeline",
+                        "ProcessingResources": {
+                            "ClusterConfig": {
+                                "InstanceCount": 1,
+                                "InstanceType": "ml.m5.xlarge",
+                                "VolumeSizeInGB": 30
+                            }
+                        },
+                        "StoppingCondition": {
+                            "MaxRuntimeInSeconds": 1200
+                        }
+                    },
+                    "Type": "Task",
+                    "Next": "Transform Input Dataset",
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "Transform Input Dataset": {
+                    "Resource": "arn:aws:states:::sagemaker:createTransformJob.sync",
+                    "Parameters": {
+                        "TransformJobName.$": "$$.Execution.Input['InferencingJobName']",
+                        "ModelName.$": "$$.Execution.Input['ModelName']",
+                        "TransformInput": {
+                            "DataSource": {
+                                "S3DataSource": {
+                                    "S3DataType": "S3Prefix",
+                                    "S3Uri": "s3://${PipelineBucketName}/data/intermediate/infer_data"
+                                }
+                            },
+                            "ContentType": "text/csv"
+                        },
+                        "TransformOutput": {
+                            "S3OutputPath": "s3://${PipelineBucketName}/data/inference_result"
+                        },
+                        "TransformResources": {
+                            "InstanceCount": 1,
+                            "InstanceType": "ml.m5.large"
+                        }
+                    },
+                    "Type": "Task",
+                    "End": true,
+                    "Catch": [
+                        {
+                            "ErrorEquals": [
+                                "States.TaskFailed"
+                            ],
+                            "Next": "ML Workflow failed"
+                        }
+                    ]
+                },
+                "ML Workflow failed": {
+                    "Cause": "SageMakerProcessingJobFailed",
+                    "Type": "Fail"
+                }
+            }
+          }
+        - {
+            XgbImageID:
+              !FindInMap [
+                AWSRegionArch2XGBoostImageRegistry,
+                !Ref "AWS::Region",
+                id,
+              ],
+          }
+      RoleArn: !GetAtt IAMRoleStepFunction.Arn
+      StateMachineType: "STANDARD"
+      LoggingConfiguration:
+        # Destinations:
+        # - CloudWatchLogsLogGroup:
+        # LogGroupArn: !Sub "arn:aws:logs:${AWS::Region}:${AWS::AccountId}:log-group:/aws/vendedlogs/states/SageMakerProcessingInferWorkflow-Log:*"
+        IncludeExecutionData: true
+        Level: "OFF"
+
+  LambdaFunctionGetModelData:
+    Type: AWS::Lambda::Function
+    Properties:
+      FunctionName: "getSageMakerModelUrl"
+      Runtime: python3.6
+      Timeout: 900
+      MemorySize: 128
+      Role: !GetAtt LambdaIAMRole.Arn
+      Handler: index.lambda_handler
+      Code:
+        ZipFile: !Sub |
+          import boto3
+
+          def lambda_handler(event, context):
+              sm_client = boto3.client("sagemaker")
+
+              job = sm_client.describe_model(
+                  ModelName=event["TrainingJobName"]["ModelArn"].split("/")[-1]
+              )
+              training_job_name = job["PrimaryContainer"]["ModelDataUrl"].split('/')[-3]
+
+              return {
+                  "statusCode": 200,
+                  "body": {
+                      "modelDataUrl": job["PrimaryContainer"]["ModelDataUrl"],
+                      "train_debug_path": f"s3://${PipelineBucketName}/debug/{training_job_name}/"
+                  },
+              }
+      Description: Get the HyperParameter of the Best Tuning Job
+      TracingConfig:
+        Mode: Active
+
+  LambdaFunctionBestHyper:
+    Type: AWS::Lambda::Function
+    Properties:
+      FunctionName: "getSMTuningStepBestHyperParameters"
+      Runtime: python3.6
+      Timeout: 900
+      MemorySize: 128
+      Role: !GetAtt LambdaIAMRole.Arn
+      Handler: index.lambda_handler
+      Code:
+        ZipFile: |
+          import boto3
+          def lambda_handler(event, context):
+              sm_client = boto3.client("sagemaker")
+              job = sm_client.describe_training_job(TrainingJobName=event['TrainingJobName']['TrainingJobName'])
+              hyper_parameters = job['HyperParameters']
+              return {
+                  'statusCode': 200,
+                  'body': {
+                  'bestTrainingJobName': event['TrainingJobName']['TrainingJobName'],
+                  'bestHyperParameter': hyper_parameters,
+                  }
+              }
+      Description: Get the HyperParameter of the Best Tuning Job
+      TracingConfig:
+        Mode: Active
+
+  LambdaIAMRole:
+    Type: "AWS::IAM::Role"
+    Properties:
+      AssumeRolePolicyDocument:
+        Version: 2012-10-17
+        Statement:
+          - Effect: Allow
+            Principal:
+              Service:
+                - lambda.amazonaws.com
+            Action:
+              - "sts:AssumeRole"
+      Path: /
+      MaxSessionDuration: 3600
+      ManagedPolicyArns:
+        - "arn:aws:iam::aws:policy/AmazonSageMakerFullAccess"
+        - "arn:aws:iam::aws:policy/AWSStepFunctionsFullAccess"
+        - "arn:aws:iam::aws:policy/AmazonS3FullAccess"
+        - "arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole"
+      # Policies:
+      #   - PolicyName: allow_lambda_to_log
+      #     PolicyDocument:
+      #       Version: 2012-10-17
+      #       Statement:
+      #         - Effect: Allow
+      #           Action:
+      #             - "logs:CreateLogGroup"
+      #             - "logs:CreateLogStream"
+      #             - "logs:PutLogEvents"
+      #           Resource:
+      #             - !Sub "arn:aws:logs:${AWS::Region}:${AWS::AccountId}:log-group:/aws/lambda/getSMTuningStepBestHyperParameters:*"
+      #             - !Sub "arn:aws:logs:${AWS::Region}:${AWS::AccountId}:log-group:/aws/lambda/getSageMakerModelUrl:*"
+
+  LambdaFunctionInvokeTrain:
+    Type: AWS::Lambda::Function
+    Properties:
+      FunctionName: "invokeTrainingStepFunction"
+      Runtime: python3.6
+      Timeout: 900
+      MemorySize: 128
+      Role: !GetAtt LambdaIAMRole.Arn
+      Handler: index.lambda_handler
+      Code:
+        ZipFile: !Sub |
+          import json
+          import boto3
+          import pprint
+          import uuid
+
+          #initialize
+          pp = pprint.PrettyPrinter(indent=4)
+
+          def lambda_handler(event, context):
+              '''
+              triggers a step function from the S3 landing event, 
+              passing along the S3 file info
+              '''
+              
+              #Fallback tests for initializations outside scope
+              try:
+                  pp
+              except NameError:
+                  pp = pprint.PrettyPrinter(indent=4)
+
+              training_job_name = "scikit-learn-training-{}".format(
+                  uuid.uuid1().hex,
+              )  # Each Training Job requires a unique name
+              preprocessing_job_name = "scikit-learn-sm-preprocessing-{}".format(
+                  uuid.uuid1().hex,
+              )  # Each Preprocessing job requires a unique name,
+              hyperparametertunning_job_name = f"scikit-learn-tune-{uuid.uuid1().hex}"[
+                  :30
+              ]  # Each Preprocessing job requires a unique name,
+              
+              model_name = f"scikit-learn-model-{uuid.uuid1().hex}"
+              
+              evaluation_job_name = "scikit-learn-sm-evaluation-{}".format(
+                  uuid.uuid1().hex,
+              )  # Each Evaluation Job requires a unique name
+              
+              input= {
+                  "PreprocessingJobName": preprocessing_job_name,
+                  "TuningJobName": hyperparametertunning_job_name,
+                  "TrainingJobName": training_job_name,
+                  "ModelName": model_name,
+                  "EvaluationProcessingJobName": evaluation_job_name,
+              }
+                  
+              stepFunction = boto3.client('stepfunctions')
+              response = stepFunction.start_execution(
+                  stateMachineArn='arn:aws:states:${AWS::Region}:${AWS::AccountId}:stateMachine:SageMakerPreproTrainWorkflow',
+                  input = json.dumps(input, indent=4)
+              )
+                  
+              s3 = boto3.resource("s3")
+              s3.Bucket("${PipelineBucketName}").put_object(
+                  Key="model/ledger/model_name.txt", 
+                  Body=model_name.encode("utf-8")
+                )
+              return pp.pprint(response)
+      Description: Invoke Training Step Function Pipeline
+      TracingConfig:
+        Mode: Active
+
+  LambdaFunctionInvokeInfer:
+    Type: AWS::Lambda::Function
+    Properties:
+      FunctionName: "invokeInferStepFunction"
+      Runtime: python3.6
+      Timeout: 900
+      MemorySize: 128
+      Role: !GetAtt LambdaIAMRole.Arn
+      Handler: index.lambda_handler
+      Code:
+        ZipFile: !Sub |
+          import json
+          import boto3
+          import pprint
+          import uuid
+
+          #initialize
+          pp = pprint.PrettyPrinter(indent=4)
+
+          def lambda_handler(event, context):
+              '''
+              triggers a step function from the S3 landing event, 
+              passing along the S3 file info
+              '''
+              
+              #Fallback tests for initializations outside scope
+              try:
+                  pp
+              except NameError:
+                  pp = pprint.PrettyPrinter(indent=4)
+                  
+              # Generate unique names for Preprocessing Job, Training Job,
+              # and Model Evaluation Job for the Step Functions Workflow
+              inference_job_preproc_name = "scikit-learn-infer-preprocessing-{}".format(
+                  uuid.uuid1().hex,
+              )[
+                  :60
+              ]  # Each Training Job requires a unique name
+              
+              inference_job_predict_name = "scikit-learn-infer-predict-{}".format(
+                  uuid.uuid1().hex,
+              )  # Each Training Job requires a unique name
+              
+              
+              s3 = boto3.resource('s3')
+              obj = s3.Object("${PipelineBucketName}", "model/ledger/model_name.txt")
+              model_name = obj.get()['Body'].read().decode("utf-8")
+              print(model_name)
+              
+              input= {
+                  "PreprocessingJobName": inference_job_preproc_name,
+                  "InferencingJobName": inference_job_predict_name,
+                  "ModelName": model_name,
+              }
+                  
+              stepFunction = boto3.client('stepfunctions')
+              response = stepFunction.start_execution(
+                  stateMachineArn='arn:aws:states:${AWS::Region}:${AWS::AccountId}:stateMachine:SageMakerPreproInferWorkflow',
+                  input = json.dumps(input, indent=4)
+              )
+              
+              return pp.pprint(response)
+      Description: Invoke Inference Step Function Pipeline
+      TracingConfig:
+        Mode: Active
+
+Outputs:
+  StepFunctionTrainingPipeline:
+    Description: The StepFunction Pipeline for Training
+    Value: !GetAtt StepFunctionsStateMachineTraining.Arn
+    Export:
+      Name: StepFunctionTrainingPipeline
+  StepFunctionInferencePipeline:
+    Description: The StepFunction Pipeline for Inference
+    Value: !GetAtt StepFunctionsStateMachineInference.Arn
+    Export:
+      Name: StepFunctionInferencePipeline
+  LambdaFunctionTriggerTrain:
+    Description: The Lambda Trigger Training Pipeline
+    Value: !GetAtt LambdaFunctionInvokeTrain.Arn
+    Export:
+      Name: LambdaFunctionTriggerTraining
+  LambdaFunctionTriggerInfer:
+    Description: The Lambda Trigger Inference Pipeline
+    Value: !GetAtt LambdaFunctionInvokeInfer.Arn
+    Export:
+      Name: LambdaFunctionTriggerInference
diff --git a/standup.sh b/standup.sh
index 6a1ea35..265d7f7 100755
--- a/standup.sh
+++ b/standup.sh
@@ -6,13 +6,24 @@ STACK_NAME_DEFAULT=customer-churn-sagemaker-pipeline
 STACK_NAME=${1:-${STACK_NAME_DEFAULT}}
 S3_BUCKET_NAME=${2:-train-inference-pipeline-${ACCOUNT_ID}}
 REGION=${3:-${REGION_DEFAULT}}
+TIME_TO_EVENT=$4
 
 DATABASE=$S3_BUCKET_NAME
 
+# Running time to event or binary classification template
+if [[ -n $TIME_TO_EVENT ]]; then
+    TEMPLATE="https://${S3_BUCKET_NAME}.s3-${REGION}.amazonaws.com/cfn/time_to_event_pipeline.yaml"
+    echo $TEMPLATE
+else
+    TEMPLATE="https://${S3_BUCKET_NAME}.s3-${REGION}.amazonaws.com/cfn/classification_pipeline.yaml"
+    echo $TEMPLATE
+fi
+
 echo "stack name=${STACK_NAME}"
 echo "bucket name=${S3_BUCKET_NAME}"
 echo "region=${REGION}"
 echo "database=${DATABASE}"
+echo "template=${TEMPLATE}"
 
 echo "Uploading local data to S3..."
 
@@ -54,7 +65,7 @@ echo "Deplyoing Training and Inference Pipeline..."
 
 aws --region ${REGION} cloudformation create-stack \
 --stack-name ${STACK_NAME}-pipeline \
---template-url https://${S3_BUCKET_NAME}.s3-${REGION}.amazonaws.com/cfn/pipeline.yaml \
+--template-url ${TEMPLATE} \
 --capabilities CAPABILITY_NAMED_IAM \
 --parameters ParameterKey=AthenaDatabaseName,ParameterValue=${DATABASE} \
 ParameterKey=PipelineBucketName,ParameterValue=${S3_BUCKET_NAME} \
@@ -65,4 +76,4 @@ echo "Writing environment variables to delete the resources file"
 sed -i -e "s/your_region_name/${REGION}/g" delete_resources.sh
 sed -i -e "s/your_stack_name/${STACK_NAME}/g" delete_resources.sh
 
-rm -rf delete_resources.sh-e
+rm -rf delete_resources.sh-e
\ No newline at end of file

From 8327398e684c413003cc81e128d5434ba6a94b36 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 12:01:13 +0900
Subject: [PATCH 09/29] cox w no dist eval

---
 cfn/time_to_event_pipeline.yaml | 38 ++++++++++++++++-----------------
 1 file changed, 19 insertions(+), 19 deletions(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 97faa89..51850aa 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -501,7 +501,7 @@ Resources:
                             "MaxRuntimeInSeconds": 1800
                         },
                         "ResourceConfig": {
-                            "InstanceCount": 3,
+                            "InstanceCount": 1,
                             "InstanceType": "ml.m5.4xlarge",
                             "VolumeSizeInGB": 30
                         },
@@ -790,7 +790,7 @@ Resources:
                                     "S3DataDistributionType": "FullyReplicated",
                                     "S3CompressionType": "None"
                                 }
-                            },                                  
+                            },
                             {
                                 "InputName": "processing_joblib",
                                 "AppManaged": false,
@@ -1024,10 +1024,10 @@ Resources:
 
           def lambda_handler(event, context):
               '''
-              triggers a step function from the S3 landing event, 
+              triggers a step function from the S3 landing event,
               passing along the S3 file info
               '''
-              
+
               #Fallback tests for initializations outside scope
               try:
                   pp
@@ -1043,13 +1043,13 @@ Resources:
               hyperparametertunning_job_name = f"scikit-learn-tune-{uuid.uuid1().hex}"[
                   :30
               ]  # Each Preprocessing job requires a unique name,
-              
+
               model_name = f"scikit-learn-model-{uuid.uuid1().hex}"
-              
+
               evaluation_job_name = "scikit-learn-sm-evaluation-{}".format(
                   uuid.uuid1().hex,
               )  # Each Evaluation Job requires a unique name
-              
+
               input= {
                   "PreprocessingJobName": preprocessing_job_name,
                   "TuningJobName": hyperparametertunning_job_name,
@@ -1057,16 +1057,16 @@ Resources:
                   "ModelName": model_name,
                   "EvaluationProcessingJobName": evaluation_job_name,
               }
-                  
+
               stepFunction = boto3.client('stepfunctions')
               response = stepFunction.start_execution(
                   stateMachineArn='arn:aws:states:${AWS::Region}:${AWS::AccountId}:stateMachine:SageMakerPreproTrainWorkflow',
                   input = json.dumps(input, indent=4)
               )
-                  
+
               s3 = boto3.resource("s3")
               s3.Bucket("${PipelineBucketName}").put_object(
-                  Key="model/ledger/model_name.txt", 
+                  Key="model/ledger/model_name.txt",
                   Body=model_name.encode("utf-8")
                 )
               return pp.pprint(response)
@@ -1095,16 +1095,16 @@ Resources:
 
           def lambda_handler(event, context):
               '''
-              triggers a step function from the S3 landing event, 
+              triggers a step function from the S3 landing event,
               passing along the S3 file info
               '''
-              
+
               #Fallback tests for initializations outside scope
               try:
                   pp
               except NameError:
                   pp = pprint.PrettyPrinter(indent=4)
-                  
+
               # Generate unique names for Preprocessing Job, Training Job,
               # and Model Evaluation Job for the Step Functions Workflow
               inference_job_preproc_name = "scikit-learn-infer-preprocessing-{}".format(
@@ -1112,29 +1112,29 @@ Resources:
               )[
                   :60
               ]  # Each Training Job requires a unique name
-              
+
               inference_job_predict_name = "scikit-learn-infer-predict-{}".format(
                   uuid.uuid1().hex,
               )  # Each Training Job requires a unique name
-              
-              
+
+
               s3 = boto3.resource('s3')
               obj = s3.Object("${PipelineBucketName}", "model/ledger/model_name.txt")
               model_name = obj.get()['Body'].read().decode("utf-8")
               print(model_name)
-              
+
               input= {
                   "PreprocessingJobName": inference_job_preproc_name,
                   "InferencingJobName": inference_job_predict_name,
                   "ModelName": model_name,
               }
-                  
+
               stepFunction = boto3.client('stepfunctions')
               response = stepFunction.start_execution(
                   stateMachineArn='arn:aws:states:${AWS::Region}:${AWS::AccountId}:stateMachine:SageMakerPreproInferWorkflow',
                   input = json.dumps(input, indent=4)
               )
-              
+
               return pp.pprint(response)
       Description: Invoke Inference Step Function Pipeline
       TracingConfig:

From 4e8e83bb0ff115f6caa9e0b7b62e9efb0587a9cc Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 13:01:35 +0900
Subject: [PATCH 10/29] cox w no dist eval

---
 cfn/time_to_event_pipeline.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 51850aa..517ee05 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -451,6 +451,7 @@ Resources:
                             ],
                             "StaticHyperParameters": {
                                 "objective": "survival:cox",
+                                "tree_method":"hist",
                                 "num_round": "5",
                                 "tweedie_variance_power": "1.4"
                             }

From 854ad394a75ebb9a0309a0bc88a66241d19c909e Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 14:35:15 +0900
Subject: [PATCH 11/29] cox w no dist eval

---
 cfn/time_to_event_pipeline.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 517ee05..2be8762 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -368,8 +368,8 @@ Resources:
                         "HyperParameterTuningJobConfig": {
                             "Strategy": "Bayesian",
                             "ResourceLimits": {
-                                "MaxNumberOfTrainingJobs": 24,
-                                "MaxParallelTrainingJobs": 4
+                                "MaxNumberOfTrainingJobs": 4,
+                                "MaxParallelTrainingJobs": 2
                             },
                             "TrainingJobEarlyStoppingType": "Auto",
                             "HyperParameterTuningJobObjective": {

From a37646c185ad64f5f3d04c5ff1dc99ab2e3685b9 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 15:34:02 +0900
Subject: [PATCH 12/29] evaluation for coxph

---
 scripts/coxph_evaluation.py | 169 ++++++++++++++++++++++++++++++++++++
 1 file changed, 169 insertions(+)
 create mode 100644 scripts/coxph_evaluation.py

diff --git a/scripts/coxph_evaluation.py b/scripts/coxph_evaluation.py
new file mode 100644
index 0000000..04d1cbe
--- /dev/null
+++ b/scripts/coxph_evaluation.py
@@ -0,0 +1,169 @@
+import argparse
+import json
+import logging
+import os
+import pickle
+import subprocess
+import sys
+import tarfile
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+
+def install(package):
+    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
+
+
+install("xgboost")
+install("smdebug==1.0.5")
+install("shap==0.39.0")
+install("scikit-learn==0.24.1")
+install("scikit-survival==0.14.0")
+install("matplotlib")
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import shap
+import xgboost
+from sklearn.metrics import accuracy_score, classification_report
+from sksurv.datasets import get_x_y
+from sksurv.metrics import brier_score, concordance_index_ipcw
+from smdebug.trials import create_trial
+
+
+def main(args):
+    """
+    Runs evaluation for the data set
+        1. Loads model from tar.gz
+        2. Reads in test features
+        3. Runs classification accuracy report
+        4. Generates feature importance with SHAP
+
+    Args:
+        model-name (str, required): Name of the trained model, default xgboost
+        test-features (str, required): preprocessed test features for
+         evaluation, default test_features.csv
+        train-features (str, required): preproceed train features for SHAP,
+        default train_features.csv
+        report-name (str, required): Name of the evaluation output
+        , default evaluation.json
+        shap-name (str, required): Name of the SHAP feature importance
+        output file, default shap.csv
+        threshold (float, required): Threshold to cut probablities at
+        , default 0.5
+    """
+
+    model_path = os.path.join("/opt/ml/processing/model", "model.tar.gz")
+
+    logger.info(f"Extracting model from path: {model_path}")
+
+    with tarfile.open(model_path) as tar:
+        tar.extractall(path=".")
+    logger.info("Loading model")
+    with open(args.model_name, "rb") as f:
+        model = pickle.load(f)
+
+    logger.info("Loading train and test data")
+
+    test_features_data = os.path.join("/opt/ml/processing/test", args.test_features)
+    train_features_data = os.path.join("/opt/ml/processing/train", args.train_features)
+
+    X_test = pd.read_csv(test_features_data, header=0)
+    X_train = pd.read_csv(train_features_data, header=0)
+
+    y_test = X_test.iloc[:, 0]
+    y_train = X_train.iloc[:, 0]
+
+    # Reverse transfrom to event and duration columns
+    y_test_df = pd.DataFrame(
+        np.vstack((np.where(y_test > 0, 1, 0), np.abs(y_test))).T,
+        columns=["event", "duration"],
+    )
+
+    y_train_df = pd.DataFrame(
+        np.vstack((np.where(y_train > 0, 1, 0), np.abs(y_train))).T,
+        columns=["event", "duration"],
+    )
+
+    X_test.drop(X_test.columns[0], axis=1, inplace=True)
+    X_train.drop(X_test.columns[0], axis=1, inplace=True)
+
+    predictions = model.predict(
+        xgboost.DMatrix(X_test.values[:, 1:]), output_margin=False
+    )
+
+    logger.info("Creating classification evaluation report")
+
+    # TO DO: Normalize to 0 to 1 scale
+    report_dict = classification_report(
+        y_test_df["event"], predictions > args.threshold, output_dict=True
+    )
+    report_dict["accuracy"] = accuracy_score(
+        y_test_df["event"], predictions > args.threshold
+    )
+
+    _, y_train_tuple = get_x_y(y_train_df, ["event", "duration"], pos_label=True)
+    _, y_test_tuple = get_x_y(y_test_df, ["event", "duration"], pos_label=True)
+
+    concordance_index = concordance_index_ipcw(
+        y_train_tuple, y_test_tuple, predictions, tau=100  # within 100 days
+    )
+
+    report_dict["concordance_index"] = {
+        "cindex": concordance_index[0],
+        "concordant": concordance_index[1],
+        "discordant": concordance_index[2],
+        "tied_risk": concordance_index[3],
+        "tied_time": concordance_index[4],
+    }
+
+    times, score = brier_score(
+        y_train_tuple, y_test_tuple, predictions, y_test_df["duration"].max() - 1
+    )
+
+    report_dict["brier_score"] = {"times": times, "score": score}
+
+    logger.info(f"Classification report:\n{report_dict}")
+
+    evaluation_output_path = os.path.join(
+        "/opt/ml/processing/evaluation", args.report_name
+    )
+    logger.info(f"Saving classification report to {evaluation_output_path}")
+
+    with open(evaluation_output_path, "w") as f:
+        f.write(json.dumps(report_dict))
+
+    # SHAP
+    latest_job_debugger_artifacts_path = "/opt/ml/processing/debug/debug-output"
+    trial = create_trial(latest_job_debugger_artifacts_path)
+
+    shap_values = trial.tensor("full_shap/f0").value(trial.last_complete_step)
+
+    pd.DataFrame(shap_values).to_csv(
+        os.path.join("/opt/ml/processing/evaluation", args.shap_name)
+    )
+
+    shap_no_base = shap_values[1:, :-1]
+    feature_names = X_train.columns
+    os.makedirs("/opt/ml/processing/plot/", exist_ok=True)
+    logger.info(shap_values.shape, shap_no_base.shape, X_train.shape)
+    shap.summary_plot(
+        shap_no_base, features=X_train, feature_names=feature_names, show=False
+    )
+    plt.savefig("/opt/ml/processing/plot/feature_importance.png", bbox_inches="tight")
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--model-name", type=str, default="xgboost-model")
+    parser.add_argument("--test-features", type=str, default="test_features.csv")
+    parser.add_argument("--train-features", type=str, default="train_features.csv")
+    parser.add_argument("--report-name", type=str, default="evaluation.json")
+    parser.add_argument("--shap-name", type=str, default="shap.csv")
+    parser.add_argument("--threshold", type=float, default=0.5)
+    args = parser.parse_args()
+
+    main(args)

From 7db0bf38f693bd42c4d8c3895e2a9e7bb7d1a817 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Fri, 28 May 2021 15:45:26 +0900
Subject: [PATCH 13/29] evaluation for coxph cfn

---
 cfn/time_to_event_pipeline.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 2be8762..e5fdcf6 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -664,7 +664,7 @@ Resources:
                                 "InputName": "code",
                                 "AppManaged": false,
                                 "S3Input": {
-                                    "S3Uri": "s3://${PipelineBucketName}/script/evaluation.py",
+                                    "S3Uri": "s3://${PipelineBucketName}/script/coxph_evaluation.py",
                                     "LocalPath": "/opt/ml/processing/input/code",
                                     "S3DataType": "S3Prefix",
                                     "S3InputMode": "File",
@@ -711,7 +711,7 @@ Resources:
                             "ImageUri": "${XgbImageID}.dkr.ecr.${AWS::Region}.amazonaws.com/sagemaker-scikit-learn:0.20.0-cpu-py3",
                             "ContainerEntrypoint": [
                                 "python3",
-                                "/opt/ml/processing/input/code/evaluation.py"
+                                "/opt/ml/processing/input/code/coxph_evaluation.py"
                             ]
                         },
                         "RoleArn": "arn:aws:iam::${AWS::AccountId}:role/service-role/AmazonSageMaker-ExecutionRole-TrainingInferencePipeline",

From b9985ce1efad4b876c54dfe3f4aa360d518e22f3 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Mon, 31 May 2021 10:36:15 +0900
Subject: [PATCH 14/29] if else for template

---
 standup.sh | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/standup.sh b/standup.sh
index 265d7f7..da53990 100755
--- a/standup.sh
+++ b/standup.sh
@@ -32,7 +32,7 @@ aws s3 sync ./data s3://${S3_BUCKET_NAME}/demo/ > /dev/null
 echo "Building the Athena Workgroup..."
 
 # will not run if primary workgroup already exists!
-aws --region ${REGION} cloudformation create-change-set --stack-name ${STACK_NAME}-athena \
+aws cloudformation --region ${REGION} create-change-set --stack-name ${STACK_NAME}-athena \
 --change-set-name ImportChangeSet --change-set-type IMPORT \
 --resources-to-import "[{\"ResourceType\":\"AWS::Athena::WorkGroup\",\"LogicalResourceId\":\"AthenaPrimaryWorkGroup\",\"ResourceIdentifier\":{\"Name\":\"primary\"}}]" \
 --template-body file://cfn/01-athena.yaml --parameters ParameterKey="DataBucketName",ParameterValue=${S3_BUCKET_NAME} > /dev/null
@@ -43,7 +43,7 @@ aws cloudformation --region ${REGION} execute-change-set --change-set-name Impor
 
 echo "Building Glue resources..."
 
-aws --region ${REGION} cloudformation create-stack \
+aws cloudformation --region ${REGION} create-stack \
 --stack-name ${STACK_NAME}-glue \
 --template-body file://./cfn/02-crawler.yaml \
 --capabilities CAPABILITY_NAMED_IAM \
@@ -63,7 +63,7 @@ aws glue --region ${REGION} start-crawler --name crawler-${STACK_NAME} > /dev/nu
 
 echo "Deplyoing Training and Inference Pipeline..."
 
-aws --region ${REGION} cloudformation create-stack \
+aws cloudformation --region ${REGION}  create-stack \
 --stack-name ${STACK_NAME}-pipeline \
 --template-url ${TEMPLATE} \
 --capabilities CAPABILITY_NAMED_IAM \
@@ -76,4 +76,4 @@ echo "Writing environment variables to delete the resources file"
 sed -i -e "s/your_region_name/${REGION}/g" delete_resources.sh
 sed -i -e "s/your_stack_name/${STACK_NAME}/g" delete_resources.sh
 
-rm -rf delete_resources.sh-e
\ No newline at end of file
+rm -rf delete_resources.sh-e

From b41262cb1672df6d36975e97142f312ad86b40c4 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Mon, 31 May 2021 10:49:37 +0900
Subject: [PATCH 15/29] doc strings

---
 scripts/coxph_evaluation.py | 27 ++++++++++++++++++---------
 scripts/evaluation.py       | 16 +++++++++-------
 2 files changed, 27 insertions(+), 16 deletions(-)

diff --git a/scripts/coxph_evaluation.py b/scripts/coxph_evaluation.py
index 04d1cbe..d07e173 100644
--- a/scripts/coxph_evaluation.py
+++ b/scripts/coxph_evaluation.py
@@ -38,21 +38,25 @@ def main(args):
     Runs evaluation for the data set
         1. Loads model from tar.gz
         2. Reads in test features
-        3. Runs classification accuracy report
+        3. Runs an accuracy report
         4. Generates feature importance with SHAP
 
     Args:
-        model-name (str, required): Name of the trained model, default xgboost
-        test-features (str, required): preprocessed test features for
+        model-name (str): Name of the trained model, default xgboost
+        test-features (str): preprocessed test features for
          evaluation, default test_features.csv
-        train-features (str, required): preproceed train features for SHAP,
+        train-features (str): preproceed train features for SHAP,
         default train_features.csv
-        report-name (str, required): Name of the evaluation output
+        test-features (str): preproceed test features for SHAP,
+        default test_features.csv
+        report-name (str): Name of the evaluation output
         , default evaluation.json
-        shap-name (str, required): Name of the SHAP feature importance
+        shap-name (str): Name of the SHAP feature importance
         output file, default shap.csv
-        threshold (float, required): Threshold to cut probablities at
+        threshold (float): Threshold to cut probablities at
         , default 0.5
+        tau (int): time range for the c-index will be from 0 to tau
+        , default 100
     """
 
     model_path = os.path.join("/opt/ml/processing/model", "model.tar.gz")
@@ -94,8 +98,9 @@ def main(args):
         xgboost.DMatrix(X_test.values[:, 1:]), output_margin=False
     )
 
-    logger.info("Creating classification evaluation report")
+    logger.info("Creating evaluation report")
 
+    # NOTE: technical evaluation is really not as a classifier
     # TO DO: Normalize to 0 to 1 scale
     report_dict = classification_report(
         y_test_df["event"], predictions > args.threshold, output_dict=True
@@ -108,7 +113,10 @@ def main(args):
     _, y_test_tuple = get_x_y(y_test_df, ["event", "duration"], pos_label=True)
 
     concordance_index = concordance_index_ipcw(
-        y_train_tuple, y_test_tuple, predictions, tau=100  # within 100 days
+        y_train_tuple,
+        y_test_tuple,
+        predictions,
+        tau=args.tau,  # default within 100 days
     )
 
     report_dict["concordance_index"] = {
@@ -164,6 +172,7 @@ def main(args):
     parser.add_argument("--report-name", type=str, default="evaluation.json")
     parser.add_argument("--shap-name", type=str, default="shap.csv")
     parser.add_argument("--threshold", type=float, default=0.5)
+    parser.add_argument("--tau", type=int, default=100)
     args = parser.parse_args()
 
     main(args)
diff --git a/scripts/evaluation.py b/scripts/evaluation.py
index 104147f..96b006c 100644
--- a/scripts/evaluation.py
+++ b/scripts/evaluation.py
@@ -33,20 +33,22 @@ def main(args):
     Runs evaluation for the data set
         1. Loads model from tar.gz
         2. Reads in test features
-        3. Runs classification accuracy report
+        3. Runs an classification accuracy report
         4. Generates feature importance with SHAP
 
     Args:
-        model-name (str, required): Name of the trained model, default xgboost
-        test-features (str, required): preprocessed test features for
+        model-name (str): Name of the trained model, default xgboost
+        test-features (str): preprocessed test features for
          evaluation, default test_features.csv
-        train-features (str, required): preproceed train features for SHAP,
+        train-features (str): preproceed train features for SHAP,
         default train_features.csv
-        report-name (str, required): Name of the evaluation output
+        test-features (str): preproceed test features for SHAP,
+        default test_features.csv
+        report-name (str): Name of the evaluation output
         , default evaluation.json
-        shap-name (str, required): Name of the SHAP feature importance
+        shap-name (str): Name of the SHAP feature importance
         output file, default shap.csv
-        threshold (float, required): Threshold to cut probablities at
+        threshold (float): Threshold to cut probablities at
         , default 0.5
     """
 

From 62eddab34512d20917c379719cb0f6436e21e534 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Mon, 31 May 2021 14:45:26 +0900
Subject: [PATCH 16/29] int32 for JSON

---
 scripts/coxph_evaluation.py | 21 ++++++++++++++-------
 1 file changed, 14 insertions(+), 7 deletions(-)

diff --git a/scripts/coxph_evaluation.py b/scripts/coxph_evaluation.py
index d07e173..f0c6c90 100644
--- a/scripts/coxph_evaluation.py
+++ b/scripts/coxph_evaluation.py
@@ -15,11 +15,11 @@ def install(package):
     subprocess.check_call([sys.executable, "-m", "pip", "install", package])
 
 
+os.system("conda install -c sebp scikit-survival -y")
 install("xgboost")
 install("smdebug==1.0.5")
 install("shap==0.39.0")
 install("scikit-learn==0.24.1")
-install("scikit-survival==0.14.0")
 install("matplotlib")
 
 import matplotlib.pyplot as plt
@@ -94,6 +94,8 @@ def main(args):
     X_test.drop(X_test.columns[0], axis=1, inplace=True)
     X_train.drop(X_test.columns[0], axis=1, inplace=True)
 
+    logger.info("Running inference")
+
     predictions = model.predict(
         xgboost.DMatrix(X_test.values[:, 1:]), output_margin=False
     )
@@ -120,18 +122,21 @@ def main(args):
     )
 
     report_dict["concordance_index"] = {
-        "cindex": concordance_index[0],
-        "concordant": concordance_index[1],
-        "discordant": concordance_index[2],
-        "tied_risk": concordance_index[3],
-        "tied_time": concordance_index[4],
+        "cindex": float(concordance_index[0]),
+        "concordant": int(concordance_index[1]),
+        "discordant": int(concordance_index[2]),
+        "tied_risk": int(concordance_index[3]),
+        "tied_time": int(concordance_index[4]),
     }
 
     times, score = brier_score(
         y_train_tuple, y_test_tuple, predictions, y_test_df["duration"].max() - 1
     )
 
-    report_dict["brier_score"] = {"times": times, "score": score}
+    report_dict["brier_score"] = {
+        "times": times.astype(np.int32).tolist(),
+        "score": score.astype(np.float32).tolist(),
+    }
 
     logger.info(f"Classification report:\n{report_dict}")
 
@@ -140,6 +145,8 @@ def main(args):
     )
     logger.info(f"Saving classification report to {evaluation_output_path}")
 
+    logger.debug(report_dict)
+
     with open(evaluation_output_path, "w") as f:
         f.write(json.dumps(report_dict))
 

From 3871dc97954e939273383ed34b99a1703802dc52 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Mon, 31 May 2021 15:43:37 +0900
Subject: [PATCH 17/29] data split 4/1

---
 notebook/Sample_Churn_Data_ETL.ipynb | 28 +++++++++++++++++++++-------
 1 file changed, 21 insertions(+), 7 deletions(-)

diff --git a/notebook/Sample_Churn_Data_ETL.ipynb b/notebook/Sample_Churn_Data_ETL.ipynb
index 713efea..ebce939 100644
--- a/notebook/Sample_Churn_Data_ETL.ipynb
+++ b/notebook/Sample_Churn_Data_ETL.ipynb
@@ -97,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2021-04-19T04:16:30.123035Z",
@@ -114,24 +114,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2021-04-19T04:16:32.499134Z",
      "start_time": "2021-04-19T04:16:30.867355Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "(5000, 21)\n(4000, 21)\n(1000, 20)\n"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
     "\n",
     "df_churn = pd.read_csv(\"../data/churn.txt\", header=0)\n",
-    "df_churn.sample(frac=1).reset_index(drop=True, inplace=True)\n",
-    "df_train, df_test = df_churn[:100], df_churn[100:]\n",
+    "\n",
+    "df_train, df_test = train_test_split(df_churn, test_size=0.20, random_state=333)\n",
     "\n",
     "df_train.to_csv(\"./data/train/churn_train.txt\", index=False)\n",
     "df_test = df_test.drop(df_test.columns[-1], axis=1)\n",
-    "df_test.to_csv(\"./data/infer/churn_test.txt\", index=False)"
+    "df_test.to_csv(\"./data/infer/churn_test.txt\", index=False)\n",
+    "\n",
+    "print(df_churn.shape)\n",
+    "print(df_train.shape)\n",
+    "print(df_test.shape)"
    ]
   },
   {
@@ -472,7 +486,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.10"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,

From 898a1522a3539f3be3cb75450a9fbe67e99bedf1 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Mon, 31 May 2021 16:17:43 +0900
Subject: [PATCH 18/29] flag for infer preproc

---
 cfn/time_to_event_pipeline.yaml |  4 +++-
 scripts/inferpreprocessing.py   | 17 ++++++++++++++---
 2 files changed, 17 insertions(+), 4 deletions(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index e5fdcf6..2e78ce2 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -826,7 +826,9 @@ Resources:
                                 "--region",
                                 "${AWS::Region}",
                                 "--table",
-                                "infer"
+                                "infer",
+                                "--coxph",
+                                "True"
                             ],
                             "ContainerEntrypoint": [
                                 "python3",
diff --git a/scripts/inferpreprocessing.py b/scripts/inferpreprocessing.py
index 4b28ad9..1e9a21a 100644
--- a/scripts/inferpreprocessing.py
+++ b/scripts/inferpreprocessing.py
@@ -20,6 +20,7 @@ def install(package: str):
 import awswrangler as wr
 import boto3
 import joblib
+import pandas as pd
 from sklearn.exceptions import DataConversionWarning
 
 warnings.filterwarnings(action="ignore", category=DataConversionWarning)
@@ -61,6 +62,8 @@ def main(args):
         database (str, required): Athena database to query data from
         table (str, required): Athena table name to query data from
         region (str, required): AWS Region for queries
+        coxph (bool): Flag indicating that it's a cox proportional hazard model,
+        default False
     """
 
     logger.info(f"Received arguments {args}")
@@ -70,11 +73,15 @@ def main(args):
     df = wr.athena.read_sql_query(
         f'SELECT * FROM "{TABLE}"', database=DATABASE, ctas_approach=False
     )
+
     df = df[columns]
     df = df.astype(col_type)
     logger.info(df.dtypes)
     df = df.dropna()
 
+    if args.coxph:
+        del df["account length"]
+
     logger.info("Load Preprocessing Model")
     preprocess = joblib.load("/opt/ml/processing/transformer/preprocessor.joblib")
 
@@ -86,9 +93,12 @@ def main(args):
     test_features_output_path = os.path.join(
         "/opt/ml/processing/infer", "infer_features.csv"
     )
-
-    logger.info(f"Saving test data to {test_features_output_path}")
-    test_features.to_csv(test_features_output_path, header=False, index=False)
+    if isinstance(test_features, pd.DataFrame):
+        test_features.to_csv(test_features_output_path, header=False, index=False)
+    else:
+        pd.DataFrame(test_features).to_csv(
+            test_features_output_path, header=False, index=False
+        )
 
 
 if __name__ == "__main__":
@@ -96,6 +106,7 @@ def main(args):
     parser.add_argument("--database", type=str, required=True)
     parser.add_argument("--region", type=str, required=True)
     parser.add_argument("--table", type=str, required=True)
+    parser.add_argument("--coxph", type=bool, default=False)
     args = parser.parse_args()
 
     main(args)

From b41c7063233a92b46c9f09bb0153f76a795e1bb5 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Tue, 1 Jun 2021 09:43:16 +0900
Subject: [PATCH 19/29] data split 4/1

---
 data/infer/churn_test.txt  | 5876 ++++++------------------------------
 data/train/churn_train.txt | 4094 ++++++++++++++++++++++++-
 2 files changed, 4985 insertions(+), 4985 deletions(-)

diff --git a/data/infer/churn_test.txt b/data/infer/churn_test.txt
index 7fcf0ab..862c32e 100644
--- a/data/infer/churn_test.txt
+++ b/data/infer/churn_test.txt
@@ -1,4901 +1,1001 @@
 State,Account Length,Area Code,Phone,Int'l Plan,VMail Plan,VMail Message,Day Mins,Day Calls,Day Charge,Eve Mins,Eve Calls,Eve Charge,Night Mins,Night Calls,Night Charge,Intl Mins,Intl Calls,Intl Charge,CustServ Calls
-ND,173,786,343-8211,yes,yes,600,1.58906009281176,9,3.5045277763929907,4.929693100462329,5,4.583855651712856,1.152582715882058,400,4.916791248281561,5.494604688571808,7,0.8548482370626589,6
-NH,97,787,649-9499,yes,yes,400,9.30373796029284,4,7.508047668489582,4.7864636116808335,3,7.370479681917528,3.58184921577356,100,6.10587971369133,4.112203934180761,5,5.4271548593653405,4
-OH,83,797,502-5296,no,yes,300,11.79794425350041,2,9.32234237292557,8.158438165669356,1,9.551730680114106,2.5042675833559374,250,5.4021639530472445,3.9317531883386776,5,9.533142907110712,3
-SC,78,836,556-1222,no,no,0,7.860990119468447,5,6.301123397160746,7.166451243362153,1,5.89703067750531,1.9850199339919719,150,6.906314234076003,3.009447814078642,6,3.0791105308614735,6
-NV,28,788,514-1335,no,no,0,5.371576087250405,2,6.361225281698861,4.212304361512247,5,4.447847664728126,5.048586188255917,200,4.003245326523416,5.579482948327675,6,5.244973499135719,3
-LA,144,766,364-6159,yes,yes,400,5.267145128399284,3,4.906836630574664,5.216115119563411,2,4.3151231848604334,3.444226306275288,200,5.7743500362225495,5.994646864900202,7,2.469201903315959,6
-MA,103,776,889-3737,yes,yes,500,0.5245685665295303,1,1.0299727243021164,0.28610424963229075,1,3.1177313662822748,3.7735330721084748,200,4.797880438070526,3.9466501233458313,5,1.0662320627890396,6
-TX,65,848,651-4293,yes,yes,400,6.381925370637827,1,5.319066509163479,6.840719114449277,4,6.991223635217527,0.7826596104303736,200,5.959794944967791,5.359647517740744,5,5.251338982009097,8
-IL,193,737,635-5229,yes,no,0,3.7690218476017923,5,2.6883208558726714,2.8347368024640147,7,1.415503337202368,2.3720335393448533,350,1.838393794981125,4.7957980787663,5,3.776822315605262,4
-AZ,43,659,166-3864,yes,yes,500,8.441610635984148,3,5.5858620421632335,5.431942446194513,0,9.287345258051447,4.2701023815033725,150,4.962338686034406,6.2464862550499785,2,9.628821553286944,5
-NM,166,787,315-4953,yes,yes,500,0.9873363392882428,5,6.209342719071213,6.8026083560394826,8,1.8432179072005752,2.6070598600637784,350,3.0594387291357257,4.723530060460863,5,5.673404448330821,4
-AL,186,657,184-8255,yes,yes,600,5.838998505378161,6,2.6787881050163933,5.866985142770803,1,6.228605296029139,2.1442065593026864,200,7.799726549422621,4.7824549013365685,6,1.9580850808270005,8
-MN,41,777,483-7730,no,no,0,0.29965374108699194,6,2.168067108690785,1.3168239045844308,3,1.548519038609271,3.2339294564716186,150,7.327409746939943,4.551652485386684,5,3.4969863489899886,10
-DC,162,686,866-5925,no,yes,300,7.417482683189387,5,6.920302647150013,6.743960299114018,7,4.324986627869729,7.096317693475412,150,4.4053840976930045,3.1791029123666457,6,5.5153280155317415,4
-NV,169,788,510-1025,no,no,0,9.163157202985381,4,3.5211933808508635,7.238093546806495,2,8.548388649277765,5.968011349581815,100,5.695659344863827,2.22344893121115,4,8.320510970208652,5
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-UT,97,858,211-7236,no,no,0,9.853028430462096,4,6.572423671896073,9.178993372585436,1,6.641426301796082,3.1303676393737887,250,6.147894614232209,5.375856191323031,9,5.633155739587883,4
-LA,42,766,298-8775,no,yes,400,1.7332285780552588,2,4.928471200842545,6.402542720730349,6,1.9669022379226333,5.5775561378170755,200,3.317251576968802,5.615572054285483,2,9.25332526042725,2
-KY,130,758,218-6366,yes,no,0,1.4460221834321754,3,2.963783254319748,3.2851408279180654,3,1.9208999572424807,1.43053989390212,250,4.079351668173762,5.407504897833342,5,1.4248257006434044,7
-OK,164,797,558-6569,no,yes,200,10.687401041305993,4,7.687996964168888,5.4393425486805205,7,6.103708710208945,5.603643522760102,150,6.779937071995669,6.228165132912006,8,2.9151663229072446,3
-ID,69,736,108-8102,no,yes,300,2.0125197792772305,4,4.793168994810038,2.208641617967265,6,3.749434191470804,2.4963623412809635,250,5.101619500779332,5.7719430226324375,5,1.6682152385238154,5
-NE,141,786,706-9671,yes,yes,200,11.742051661500707,6,6.979294868587714,8.665361886675893,3,7.483933269941418,4.464766618051256,150,7.315666629152478,5.013449033834287,8,3.9944609543242713,4
-VA,185,866,508-7665,yes,no,0,5.84227678852298,4,3.7493068591437964,5.4521793993371865,1,6.990465836751428,4.388807188755727,250,4.782047001864488,6.315469599092465,6,5.242019485893705,7
-NE,157,786,672-4560,yes,no,0,0.7214899923547682,5,3.6542633974439687,3.4722959046216757,4,3.789520651174495,1.5654783992667165,350,4.749439868528807,3.628734786254089,6,0.7137881134348998,7
-KY,72,758,662-2165,yes,no,0,1.711691181009578,0,3.070507954212458,4.239773023490659,0,2.880690063340944,3.4329543465751264,150,4.830882511623393,5.2848899372421565,4,6.015689134840251,5
-RI,10,827,711-2064,yes,yes,400,4.144405889064823,5,0.7036342479633007,0.3051454296400866,5,2.7435685989513106,3.2122955740154784,250,2.0228078148744357,5.545738480107646,4,2.383223813361904,5
-WY,97,878,906-2458,no,no,0,1.1344060405646514,4,5.566232186586127,8.123958640401558,9,1.4027208506678326,4.721760761638086,500,4.315343122924299,4.972048561415892,3,6.106917506305817,3
-LA,4,766,597-1144,yes,no,0,3.2831462996954786,4,3.8835360582632656,5.037636800791353,3,3.901263013639489,3.7256834947933686,200,6.251206017604826,6.2084592270632895,3,2.772324562435217,7
-VT,133,868,717-3929,yes,yes,500,8.155074333420504,2,5.617474497950793,6.134215962319367,1,5.937031333196843,4.806746756706327,200,5.29996978013883,4.814263226315983,8,5.272216073330963,4
-GA,146,716,630-1974,yes,yes,600,7.727445848680805,0,5.601848266305971,2.987409928228668,1,6.354929616575237,7.9832024180378784,100,4.967131487731038,3.7049620362675317,3,7.4622178991657675,5
-NC,49,786,574-1941,no,no,0,9.709156913878985,2,9.621341755986274,5.956452750169448,7,6.057163173553449,4.904729650074735,200,5.126692073533113,4.709875100956297,6,5.46039058653978,3
-IL,135,737,957-3539,no,no,0,4.251071234568392,0,6.891073783722702,6.265121835794682,3,3.030839673071509,4.084317363702906,400,4.276826267284891,3.9737478971542255,7,4.802589495934118,6
-OK,10,797,859-6906,no,no,0,6.478759285987907,3,5.548028201047373,6.702655031583746,1,5.483351749583752,4.0111180583575985,250,6.1233009696633935,5.3667149824191815,5,3.9370205960775886,7
-MI,153,777,677-9305,yes,yes,700,6.597333852385333,4,4.2801018683209975,6.645547519358073,1,6.571851844426272,3.3992323000016946,250,6.007848598315471,5.105174941927675,7,3.1207682563835735,9
-KS,86,758,545-7734,no,no,0,8.832601771879133,2,7.555421116680151,6.514991099485358,4,7.2073853782058865,5.061867993015911,250,4.399119046882941,3.554604964933752,5,8.995959944612563,2
-KY,148,758,857-2512,yes,yes,400,0.20262576331573445,4,0.5431937493145487,0.4111451958098709,2,4.880924982075199,5.22635908137848,200,3.302464399028628,5.01055294311109,4,3.0903538142001103,6
-WV,186,878,611-6515,no,yes,400,1.0759612180639395,9,1.8547523172908296,3.1356329014512,3,4.317022799216542,0.19009043488154376,350,4.4934949481928514,5.330932236151293,7,0.9849100158488682,8
-SC,161,836,417-6159,yes,no,0,6.015343768277072,5,4.357962760069524,2.032796438366307,3,6.431353542512904,4.2888614402145775,300,7.194242761088362,6.551297786991249,6,2.495377932395802,9
-IL,94,737,622-2166,yes,no,0,8.776612015613821,3,7.712419349561819,8.543274126706365,0,5.919447455333182,1.6736777494847668,200,6.475666458865782,5.1528828756714935,7,3.9359299692767817,7
-MD,170,776,252-5299,no,no,0,6.5244310845816536,2,7.3455820371202005,6.152685299089855,2,4.871878311680909,2.0163612131559367,250,5.622510300199192,2.6416384265982544,7,3.6438159361714906,6
-AZ,2,659,639-4381,yes,no,0,1.7695607334034582,5,2.3973673958246424,1.6089231888263678,9,2.0065562843059754,4.989532702088363,400,3.947901310728473,3.4222179563881507,4,0.5461728345606094,5
-NY,23,788,672-1052,yes,no,0,4.631347241928967,4,7.10113159187429,7.886183360569757,5,3.5285172991916443,2.7075520901163284,400,4.630128780150018,4.692869734143879,7,4.390230487889436,5
-CA,173,676,293-4557,no,yes,500,2.6078484963529083,2,0.6873530221838138,1.0665089068971527,7,2.4575715228585966,8.029377944061903,300,1.121535472121384,4.548553731967968,5,3.151436743973578,3
-NY,164,788,880-6075,no,no,0,6.2952958615092625,8,6.44624090736835,7.655634821705013,4,4.705320337142225,4.13027883093674,100,5.130014999484605,5.7450082422441895,5,4.911665463300708,7
-MA,14,776,631-8665,no,yes,200,6.149091458873843,4,4.696910300700118,5.410659341612455,3,4.871022845960543,5.337413586443368,150,7.149150581200192,6.912171467435527,4,1.721324914865693,8
-MN,112,777,385-6233,yes,yes,600,1.5978831895299948,3,5.192264130284312,5.634596372860551,5,2.535067221861815,3.3777394699826826,350,4.169188465432081,5.219761437024982,5,5.232839821121638,4
-NM,63,787,836-9603,no,yes,900,6.769243707138879,2,4.570693627180131,3.56358656980937,2,6.960755583149838,3.4523148833235315,250,5.873473392924754,3.1064226629186447,8,2.1923611971644976,9
-NC,56,786,672-8769,yes,no,0,3.7960512414605283,2,4.420617453883315,2.7766068108667845,2,4.597986851434923,4.25106613037607,100,4.6528958747944555,3.990342106163748,4,4.916149319293063,5
-NM,115,787,586-7227,yes,no,0,0.3007443051377807,4,2.2591857994128883,2.761117085087185,4,3.351906275995357,4.1995695256441685,350,3.5314774935779383,7.238621626786845,6,0.4227459103279028,7
-CO,152,677,499-8441,no,yes,600,6.2240843229775225,5,2.3681517590415115,5.101816374623732,0,6.408619917541758,5.521108446565254,100,6.835224996667338,4.463901979133334,3,5.299669388838296,6
-MA,107,776,632-8508,no,yes,200,0.13847230069931538,5,5.78611622351291,2.9819226154436334,11,1.699619780195481,2.7318032065169464,250,3.5065792089701233,3.3331765973080527,5,3.0667700683535184,2
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-IA,79,736,538-7678,no,no,0,10.207940423187186,3,7.303147888347452,4.072519079621364,4,7.335294526426357,4.901800724410581,100,6.071471051170515,6.118295932253657,7,5.142233487940827,3
-MD,13,776,974-4650,no,yes,700,5.074851995952561,0,6.563569907824906,7.490495794207447,4,3.0638836400275213,6.769123675093255,300,3.4620019128561736,5.154998420799467,5,8.493041747622387,4
-NJ,135,787,726-3450,no,no,0,1.0884929965384282,3,3.200770704301827,5.440601554702238,4,1.76203634893259,3.3424261925454917,300,2.798377438383564,4.505771595655808,5,5.207512958245784,5
-SC,82,836,919-1907,yes,yes,700,3.4216461190398864,5,2.8671762871376334,6.763163144801933,1,3.341017467683963,4.225188185087438,250,5.274672793533035,4.1477222636371645,7,3.7565117027488895,6
-DC,153,686,150-5245,no,yes,400,9.814335590515816,4,6.4310391776022335,8.26903781673695,4,6.815995097853262,5.619511006130047,250,5.342826495603245,4.798832072923894,7,7.3376904085735974,2
-NV,165,788,129-4401,no,yes,500,0.7588488417679349,4,1.668713265717292,1.1435516944270998,3,3.526350670704764,3.4296486763119063,250,3.2806983466086734,3.024971708248711,6,2.410927569601484,5
-OR,96,798,588-5953,yes,yes,600,3.215389418482249,5,2.0382977735166827,4.267204234198549,0,6.128700175231068,3.9021390655291968,250,5.906840768178173,4.274198780128318,2,5.2599730827995685,6
-OK,56,797,669-8711,yes,no,0,4.547435618131488,6,4.193990135178376,6.850079155858957,0,5.23067539347426,3.1790914652142965,200,5.572434068107863,4.68225118715383,4,4.737721624706869,8
-MS,155,778,970-7188,no,no,0,11.809295030151167,5,7.889439565216056,7.582860671029193,5,6.618473198164282,4.973283916495167,200,6.538836346933847,5.224435840184441,10,3.856465520242813,3
-MO,41,777,596-5803,yes,no,0,10.994387565315401,3,10.213156374950284,6.9632505450817295,7,5.333787095372168,3.7333989845715467,200,6.7342304689515045,5.176461147828063,8,2.757818603085236,4
-ID,152,736,111-1222,no,no,0,2.014211595843263,5,3.2457252928725318,6.622682647945043,0,4.608945387935485,1.4474559497569983,250,3.5151672291303977,5.986834864104093,7,5.514172099661157,7
-NC,50,786,431-1523,yes,no,0,2.4062308702954605,3,1.0495040704918353,3.6528843219199376,2,2.2526637853881706,3.016401701801743,300,2.8982322522615203,5.100720958123494,5,3.5304715830893296,6
-CT,193,678,975-1551,yes,yes,100,7.801079483760209,2,6.1903184550467225,6.6514842396862095,1,6.879444483928107,3.820463078855816,250,6.519782743486853,4.632707662661594,3,5.302494663412847,6
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-MN,8,777,766-2015,yes,yes,800,3.1868015078770258,6,2.111388462672582,5.3036204921040975,3,6.562837591337317,0.3249905164887821,350,6.086036175138331,4.472996869707192,7,0.9185781193501744,10
-CT,119,678,756-8044,yes,yes,100,7.830313653105421,2,10.270856190313618,5.707889988614577,9,4.530616318366282,4.133546347862969,250,4.901081423121749,3.858659820130464,6,4.069771559637581,4
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-MD,53,776,547-6473,yes,no,0,2.6152763834104693,2,3.162215377655402,3.742916664368271,2,3.8766656387462484,5.08972075037208,200,3.9337108816084663,5.858077556163597,6,4.181360160295186,5
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-MN,16,777,963-4133,no,no,0,8.480036513175019,4,5.674010672866885,7.632411021278656,0,7.080290882609062,3.0557402095016784,200,7.019168478299124,6.2804739370593525,5,4.7232736171534375,7
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-NM,51,787,305-2439,yes,no,0,0.9237483180808912,5,4.183217236241223,6.456300887879441,2,2.9090339032828183,2.165239336857465,300,2.9112423951786237,4.047648971456884,7,4.346788751715328,6
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-NM,9,787,149-6928,yes,yes,700,3.1583940541194897,5,4.962036218553144,6.485275770561818,4,4.11042964598362,4.486732777463673,350,4.0117241626126905,3.7831010672097833,4,6.70240835306588,5
-IL,28,737,284-4071,yes,no,0,0.8355731162595097,5,2.211969570587144,3.9022632558048183,0,4.333768343636092,1.0255538301442255,300,5.143350661894538,6.844759435258736,6,0.3606662267162237,9
-MN,18,777,345-5754,yes,no,0,8.416915476338392,3,5.419906240957697,5.3354181533090745,1,6.680815171397655,4.633724571254547,100,7.067995489512539,4.007929671190766,4,3.7424213165556974,7
-MS,178,778,426-6584,yes,no,0,0.6252050411347048,4,3.37445701626165,2.8768386436837696,2,4.588040412417323,3.4852684061620782,300,2.5474739566269813,3.4842539430225816,5,6.335717235499697,5
-MN,8,777,285-8525,no,no,0,4.449076493546113,7,3.606622457769628,2.9359423960567086,2,6.54503226622318,2.0099735514650074,250,6.7840969548659436,5.328071280626675,5,0.007356553957414746,8
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-OK,116,797,268-2575,yes,no,0,6.78529688977348,3,4.932012396606512,3.2438755428985653,1,6.00706849575912,4.731317337201426,250,6.192822299686651,6.590659449730311,7,1.686925503504054,7
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-WV,49,878,626-3097,yes,yes,300,8.688811107412938,5,6.313614415714853,2.9153003977849195,4,7.442201016489264,4.666219768938724,100,6.817310046472898,5.686781948559954,4,3.2660229347598646,5
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-NV,163,788,932-8727,no,yes,900,4.689795732280585,4,5.573590467955293,7.262032411820684,3,5.093835359648186,4.769074161364847,450,3.2577122303081856,4.497625876562127,8,5.050048615878333,6
-IN,178,737,442-5654,no,no,0,5.351041263628331,4,6.6600645587734375,6.550579546721842,7,3.845122385903888,5.1040530026028055,300,5.000116273299689,3.658169639839064,5,4.765248555108066,5
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-KY,165,758,242-5267,no,no,0,7.891093681239992,2,6.933857463653295,5.384212818855921,1,6.822502423656049,3.520120515609446,150,6.237269027529299,6.19786534656101,3,4.795420215322074,7
-AZ,46,659,346-1214,no,no,0,0.030402536452707633,7,0.1582605957333154,5.465951147469727,0,5.376365670957247,2.7045092828731465,450,3.740504988085717,6.122231846402133,7,3.0267742652044927,8
-SC,24,836,558-9400,no,no,0,9.737355149245614,4,7.323429428875269,7.667280935087709,2,7.269788862272548,4.05421101847263,150,5.636454972877357,4.3489908506460155,5,6.507362562131603,5
-NM,51,787,165-7009,yes,no,0,4.748448021353543,6,4.58208549540615,4.4420243269358775,2,6.037648786493282,2.7782859217171483,250,5.32914110795483,5.673089037677489,6,3.2973820347094573,6
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-NH,187,787,697-6195,no,no,0,7.194163436700678,1,8.442386226856433,8.072240032041304,2,5.889268658669393,2.1532667244815134,300,4.470697597806714,5.827911120233773,5,6.8905016145995805,5
-SC,99,836,708-7846,no,no,0,5.290507230435293,5,3.155126284599384,6.857167355157326,1,5.90235150901129,5.596475324736835,200,6.03964405465458,6.142901489501089,2,5.707202824813527,7
-KY,59,758,879-7782,yes,no,0,11.042607000729964,5,5.953491360410683,8.220257756048127,1,8.422098828317344,1.768287870059175,150,8.050572289075415,4.72012986330645,7,3.9467669501409683,6
-NH,99,787,220-4363,no,yes,400,3.217385013972557,5,2.2682964548063804,2.761435285976213,0,5.319537501184064,3.887869671368105,150,6.767502529562786,4.487540505588964,3,1.192992241916197,9
-FL,46,707,230-3969,yes,yes,300,6.678480137634829,3,7.8987923749771465,6.910196342720277,6,4.629922814765955,5.277108475067414,250,4.415225000849954,5.732829076738305,4,6.353167595353147,4
-CT,39,678,857-5540,yes,yes,400,7.758506113211143,0,4.369786683369137,6.262171617122957,3,7.231137415147067,2.296364261790636,200,6.568595365861043,3.88147256235142,6,4.973499693586464,6
-FL,149,707,517-6678,no,no,0,2.0021871940581417,4,4.209847773833791,4.676070727263113,8,0.4211443277820006,3.2894451817535875,350,2.8298730333028925,5.078408886421445,5,3.647527012899708,4
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-AL,192,657,461-3152,no,yes,300,11.810992062286966,3,8.230956093279156,5.06667450519218,3,8.18142267046616,5.381140276211351,50,4.8194315764352,4.069505901334936,8,7.0219316656703485,2
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-NV,127,788,639-2590,yes,no,0,0.8812988677921947,5,4.739061524049222,4.318842807070492,9,2.436894933327515,4.653164266068992,300,4.481421201374504,6.8491797193763295,2,4.280272300467404,4
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-IA,147,736,393-8930,yes,no,0,1.5004988320560706,2,2.9414006349478794,4.650853821194218,5,1.2321281336108678,5.21728911480093,150,1.9824630257107287,5.8024404332196875,2,8.253216600517481,3
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-LA,40,766,607-6699,no,yes,500,1.050375032331011,2,2.4739473383207784,1.1283059964890034,1,3.619717870778997,2.734312404490689,250,5.336738093455411,4.9323746086192575,7,0.14588582260103244,7
-SD,46,836,537-5675,yes,no,0,2.070222965536077,6,3.4103764066324715,3.9184589551951055,6,4.202524278574701,4.335802955074617,300,5.932469514077324,3.607226800002786,2,2.3036442497230993,5
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-MO,95,777,939-8605,yes,no,0,5.968038137119581,6,5.109286612198706,6.8570738402713225,5,4.8256520927076725,7.125352624315068,100,2.8272739680606827,5.556147221870629,6,8.666023313430411,3
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-WI,135,877,295-6630,no,yes,400,0.4668096030390601,3,5.0116604865642405,7.279694786454026,5,1.5454197232892108,2.361909240756564,350,4.2011532777129865,6.3065672340741505,4,5.388107709159477,5
-MA,164,776,343-9388,yes,no,0,2.7018620938124456,3,5.0293790817648185,2.8044727124000253,4,3.9342884154709785,3.6616623035278346,250,3.689721055700317,3.414322528100356,7,3.033764386537505,5
-CA,30,676,518-5298,no,yes,600,0.19008254052283746,3,2.5195676282560315,4.990267169444347,1,2.806302420513029,3.147364585658728,300,3.1971036324653914,3.607939668656631,7,4.077546349676065,6
-NY,151,788,252-5421,no,yes,400,7.333387814768196,5,5.556317494544215,3.6074623313165683,4,5.326285836865933,5.151320881407067,100,6.301886700834997,5.694115618053624,6,2.245146282355832,6
-WA,16,876,340-6118,yes,no,0,9.815910382455037,3,6.336535759375868,5.982692883318388,0,7.083826002357137,2.9851388508113805,100,6.9547613820689245,3.2759071114077534,7,3.633189517252213,5
-MN,92,777,969-4173,yes,yes,400,0.6212515114974524,7,3.4784456697601533,6.7666394533341165,4,3.0006175863370363,0.3103321815867597,300,6.184070972576348,4.906977935368608,3,4.236774612737726,5
-DE,163,686,654-8477,no,no,0,7.2590118270246204,3,7.469450259370843,6.68364503238639,2,6.381217477355339,2.3218210496900715,200,5.791256191351267,4.126350120558843,4,5.1896760353611455,7
-TX,183,848,259-7663,no,yes,400,3.6077142389812833,3,8.060352519952804,5.620948562385603,8,2.490054631404821,4.176607778352742,200,3.0650179676087683,4.623004577609992,5,6.925604756196962,3
-MN,159,777,639-4727,no,yes,200,7.282702073008657,4,4.338961990092109,4.351247132677993,2,5.8887765167649375,4.397939273315711,150,7.553612985745763,5.958093536188851,5,1.702086956769454,6
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-MS,106,778,237-2613,yes,no,0,0.7177835696720276,6,0.8180408594429345,1.9981703772327133,1,4.341314208118392,0.40091665159529377,350,4.951397327589836,4.189776183263789,9,2.415518265755624,8
-UT,139,858,398-5309,no,yes,400,2.5236996111812693,2,3.329225022460545,4.620995947065107,0,4.160919726071362,2.1682966188221813,200,6.835358707990992,3.6429637370459584,3,1.62935642347774,10
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-OH,28,797,633-6176,no,no,0,7.290016013045093,6,4.585765119743764,5.693553067060982,2,5.1151723925037444,3.3328717961041567,150,8.474708821463137,6.140655719434045,6,0.1736349973435347,7
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-TX,83,848,864-2305,yes,no,0,7.359437316409142,6,2.164894188895096,4.654715928638188,2,6.900855366602915,3.166403090575252,50,8.196340301623241,5.346456974712097,6,1.9750605816022668,7
-WI,164,877,422-3335,no,yes,300,6.657698262186158,3,7.351792863845552,7.160708431986342,5,2.9692793136123696,3.4333953018807675,250,6.136791980095952,7.938690077575809,9,0.8864396869979698,6
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-ID,115,736,692-6484,yes,yes,800,6.566509438128407,4,3.1088436537574418,7.366613640555103,1,5.544664407689719,3.7167902435755087,200,5.125019636927899,5.588653208503223,10,5.433051223852348,4
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-OH,170,797,760-5930,yes,yes,100,11.83583513990359,3,9.530641950015236,6.967019023053207,4,7.016592819269271,3.31747015427766,200,7.574950710886638,5.0706097607076615,7,3.012212995399225,5
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-WA,191,876,585-2301,no,yes,400,5.698933405644864,5,3.56025076403871,5.105544083084463,0,5.664268636475158,2.8142969835095366,150,7.004750703083358,6.077205995534282,6,1.6149965609946688,8
-DE,111,686,475-9277,yes,no,0,11.234888352220905,1,8.544363747885424,6.850865810237553,2,8.92078858873025,3.911500981640821,200,5.557573876242493,4.067129124405885,4,8.840744825537001,3
-AR,36,658,532-6387,yes,yes,600,6.937652009457606,3,4.874934211986194,2.3408591939975905,3,6.585116558344422,6.031128924271361,300,6.061780820301745,5.141887533084789,7,0.8810958359577414,7
-OH,118,797,268-8389,yes,no,0,2.3613832700757875,4,4.571055885220019,2.5710847056978867,5,4.27394194646631,4.838659304194443,150,2.2783276053055097,6.074447692501253,6,4.793562025075755,4
-HI,148,727,991-3783,yes,no,0,1.9682725738859768,1,1.1504290885485,1.0739286048997525,1,5.5987325791338405,4.9095372042651055,100,3.4927552574500047,5.571815708969157,5,5.337346187112128,6
-MA,143,776,233-5807,no,no,0,13.140269182555508,1,10.024055676319813,2.2428389899768293,7,8.977494173928681,5.854269979772982,0,5.389307030808974,4.69934204083087,7,6.648834446618826,0
-NY,156,788,147-3337,yes,yes,300,0.5175037586926683,6,3.2510280844494,2.435625434587683,7,3.699621527664665,4.274334105354418,200,3.903893474921418,3.890868132349313,3,4.375968809489106,3
-ME,172,776,617-3908,no,no,0,0.35579029176867305,1,2.9061603410960384,3.9040409659262996,1,3.274511590236388,2.6005300627615133,350,2.2456007415498664,4.696682847249399,9,3.370013803294301,7
-GA,106,716,311-3125,yes,yes,0,6.476144416661848,2,9.350792263613107,4.645888530958243,8,4.497543185025736,4.301292003421561,250,5.669075564951219,6.369691100266168,2,3.4392491318897216,6
-ND,63,786,688-5514,no,yes,500,5.719216364591519,4,3.8783840070275764,9.801465030003335,0,5.839026532799402,4.74513960478242,300,4.387243372991279,6.185687222824777,5,8.961217458608447,5
-SC,166,836,293-8573,no,yes,400,6.615184170951474,4,4.617121213744428,7.994945339691932,0,5.944410224207536,4.357042066498764,250,5.715068465598639,4.700950441225992,5,6.131489444697665,6
-SD,139,836,365-6071,no,yes,300,4.9371528892957155,2,4.9672492779421376,5.758289136997585,0,4.645001413976051,2.2777218294577852,250,6.6861611622779105,6.745147985432434,5,1.7540874316089687,8
-KY,93,758,836-9436,no,yes,400,8.456998095440653,3,6.631989970840068,5.357314827344238,2,5.8172513408692454,5.202608293057869,250,6.6711475358372745,4.6006365059196845,6,1.792125317516973,8
-DC,101,686,276-1930,no,yes,800,6.887714825582389,2,5.3822485838637615,3.461626184110498,1,6.205412827657945,3.796074486621629,300,7.2095024237903775,5.154648101522244,6,0.5642058396074896,8
-DE,61,686,438-6706,yes,no,0,3.1719593708600997,5,3.936483193467828,7.192612132482753,1,2.2782065179647844,2.1608903709588896,300,7.629691198381628,4.1725829829553325,6,1.3223106001688834,10
-CT,31,678,188-8154,no,yes,200,6.226196967422534,5,6.763083721466563,6.349050224773878,7,2.30973191999891,4.410611781870842,250,7.1344921634628085,3.8235199579617887,8,1.2220698454932517,7
-HI,78,727,280-4686,no,no,0,3.017033902641636,3,3.461109844533693,5.087000804450506,0,2.208305326563587,2.9231644570722177,250,8.938272035833519,4.766189582243545,4,3.81840364738868,13
-AZ,94,659,782-8090,no,yes,0,9.315647344533822,0,10.891107181596361,6.121677354573403,5,6.052322299861039,2.758265212522375,250,5.691922410039039,5.807732045753548,4,5.082401667291589,5
-MD,137,776,955-8130,yes,no,0,5.5340001071580245,3,5.762480997179983,6.378105126032749,3,3.9394762286115967,3.578008236718308,200,5.455008815887027,4.229501172676216,7,3.97653232605799,6
-DC,48,686,586-1054,no,no,0,1.3376835029294858,2,0.4282799187832413,2.231828051958442,1,5.372939439293691,4.765697154919243,250,1.7325711938185842,4.18495025356152,7,3.1481887983495667,6
-OH,35,797,803-3763,no,no,0,2.517627336201146,5,6.413243730390481,3.8061283300781166,5,3.8206608569518234,3.2025205359348914,200,3.981713951533807,5.534926276954097,3,4.823135779660238,6
-CA,7,676,536-1800,yes,no,0,0.6211526671450862,5,3.2291702739729446,5.999558933389513,0,3.5461779389783215,0.4469324363974741,300,4.4817909865227925,4.935407737255204,7,3.743266066690584,7
-MN,59,777,995-9434,yes,no,0,0.2059610684726092,4,2.385239059806552,1.5388138785221894,5,4.145198193243972,6.0931887591549465,300,1.1809242060078555,5.530978576950211,6,6.229872993703215,3
-NV,4,788,433-9717,no,yes,300,8.480123972651025,2,4.892040854951238,6.023844249559764,2,6.807474000876452,2.286269351285528,150,7.0809162000048,4.941674663337245,7,3.0737741855068768,6
-MS,105,778,869-2026,no,yes,700,10.625082705169232,1,6.518852906840111,7.76782750552037,0,7.614260502849491,5.119888713322848,150,3.5259663759601785,5.123003335376505,10,10.495513315805175,0
-OH,152,797,537-8164,no,yes,900,4.7244480761122185,4,3.664389286344235,6.749040165304612,1,6.122291514552324,1.9792044468587584,450,5.890814765063809,3.8791094242995094,8,2.225939763540847,8
-NE,28,786,123-9659,no,yes,600,1.904273036471316,3,3.6287837059588783,6.508051098039662,3,1.1962941349317735,1.6614334576408991,200,2.160471565753439,4.495864341721793,3,9.342253731081103,3
-RI,46,827,463-8995,no,yes,200,7.622042238452781,5,5.756602482541858,5.3322944142386435,5,4.569312886254476,5.496022112093192,150,7.071957429707682,5.0488861639928135,7,0.6583752524446966,6
-NE,164,786,309-8312,no,yes,500,0.7828182773495858,1,2.5798926554269843,1.0415818928452023,1,2.828205186633605,4.354494052749615,50,2.1379171915974133,4.948561456678836,4,5.451368442017416,6
-FL,26,707,127-5185,yes,yes,400,4.9469917399158,2,0.29705520935038976,0.30883395167557737,1,1.1249923435498252,1.1316503109906888,200,4.502792787765901,4.724206301759434,7,2.2872960720148257,8
-AK,37,657,215-5724,yes,no,0,8.238973179346385,2,6.468598586821402,3.991582259178161,3,6.7852548771889944,7.72826771576443,250,4.324624917481602,4.734319131032962,6,5.855252973800907,5
-AR,12,658,747-7110,yes,no,0,2.7030879149675284,3,3.714960167141317,4.113388406000886,2,3.6152209229439576,4.3680270544736866,250,4.020406395104561,5.073965594500552,7,3.662639878191413,5
-NE,130,786,371-4362,yes,yes,300,3.87888608113502,5,1.9544608618031905,5.424812839633251,5,0.9724001387549864,3.9050209205215816,200,0.9504002184769584,3.953015952288424,2,9.17933191923526,2
-FL,73,707,974-1381,yes,no,0,16.504147300429413,3,8.509807082178162,8.129212209693023,0,10.708201815911368,4.916960222178728,100,6.899678022052702,5.534131444716199,9,8.153066337431433,1
-LA,145,766,884-4897,no,no,0,8.351725804128307,2,4.6219655748775255,6.781036481453259,1,7.206054453820161,3.767245340611925,150,5.305654707157485,4.22075204257648,8,6.579940029443648,4
-AL,110,657,438-2997,no,no,0,1.2505795461545794,5,1.2954427298071591,3.4548492456235538,1,4.670137010209653,4.328572792007767,100,6.067334369567522,5.1674506126087065,0,3.696205629605741,10
-DC,155,686,629-2222,yes,no,0,0.5537478928888984,4,2.8833992043816643,7.178586407131772,0,3.038324500888285,1.5028116815281698,350,2.434315393120931,6.958427326090638,6,7.716294243285818,6
-DC,120,686,474-2319,yes,no,0,5.010779905829404,6,4.031542795196604,4.943972320192903,1,4.969009431950928,4.578407638120171,50,4.865652021563722,4.975557818352047,6,4.164113292915118,7
-MN,68,777,349-2449,no,yes,600,3.0709673074161787,2,2.7752878058796133,1.3680800339236845,1,5.838047968852353,5.585184403760432,150,3.520423819345681,5.201211591011718,7,0.9935368958973436,7
-CO,158,677,569-7276,yes,no,0,6.870061689475973,2,3.0885672942019986,8.64750261821295,4,6.959369322893361,2.04315011059868,300,6.351496209852237,4.7532343821020815,7,5.7450250768317055,6
-ID,164,736,233-5455,no,no,0,10.077842968173654,2,7.378017901921179,4.714718106306848,3,7.953200566347218,8.170073935272965,150,4.636021170560168,5.452373072858952,4,7.875374951931946,6
-DC,126,686,289-8915,yes,no,0,7.153384038544288,1,6.162080989953497,5.938068428312981,2,5.045279127229547,5.459601078701104,300,5.893515469528552,4.239294557301409,6,4.4340143132644885,7
-NH,153,787,230-6761,no,yes,500,4.558864372399488,6,1.9071599876834069,0.5356697414816516,2,7.284185982401247,5.854533382183363,300,5.369941323464502,5.924795907817608,8,1.8020678196580395,8
-PA,192,806,417-4185,no,yes,200,1.0441099073123454,2,5.009544111793471,3.8443908168151033,7,1.792670951185552,4.74164375447444,300,4.1162953505489535,5.915917600884812,4,3.0557047847851866,5
-ID,44,736,107-2430,yes,no,0,5.2022926149565984,4,6.95899933918177,6.5575438858659325,5,4.162659223331032,3.7242504386892636,250,5.430172610162241,4.1707464517813255,3,6.246786087058427,5
-MN,199,777,351-3361,no,no,0,4.6447582737691535,6,5.556613677280594,2.6101730266416814,7,2.4160104500315844,4.888501707895316,100,7.208157614538058,4.874085506225912,6,1.2074132818187469,8
-VA,126,866,671-8657,no,no,0,5.9273470263544965,4,7.3514498566934945,5.561675005058662,8,3.3456359546840213,5.262957303499896,200,4.900438976685601,5.594385836400463,6,3.909434766728759,4
-NH,174,787,235-5188,yes,yes,600,1.3429924825515118,6,3.1886235001342667,2.4823337218504102,3,4.792400958839463,3.438656788681122,350,3.4340211606622124,3.7883893109589266,7,1.5140508942667503,6
-MO,50,777,840-4409,no,no,0,7.333151368319175,5,3.6004907864732947,3.919975589753765,2,7.466050647868088,7.119616549204304,100,4.899403902920066,3.9480045432907986,4,7.7468570700957695,3
-MA,44,776,878-2283,no,yes,600,7.08565219778825,5,6.6226439962923935,4.639977626173998,5,6.130456800497466,4.36146645642857,350,5.928970438530081,4.36707680371766,6,2.5179735487759336,6
-AR,79,658,589-2864,yes,no,0,4.4869532803606935,5,3.9392038177298336,4.4562338108544655,10,0.2673619631892805,2.251821313006253,200,1.6481076306292213,4.285030735177155,1,8.24466561872018,0
-OK,196,797,375-3769,yes,no,0,2.3402518743663467,4,3.4260995563738037,4.501029876513075,1,4.822740503811789,4.414433457010387,300,3.0451253674427035,4.3569096096907725,6,5.903421812856034,5
-NC,88,786,790-1981,no,yes,600,4.358785853058693,5,2.604026199605713,4.722539024067702,1,6.331980253591883,5.144159963526251,450,4.315632588031116,3.904292235112037,9,1.335481546703987,7
-OR,66,798,404-3528,no,no,0,0.6287364603305905,3,2.7458452863311185,0.17845075932098986,3,3.486702597638293,3.1028272969789725,300,5.489763600908929,4.616992578323955,6,1.983847414886424,8
-NJ,140,787,163-9325,no,no,0,6.713055412573662,3,6.1869746937659125,7.449683324994464,3,5.730488219179492,5.671630784296853,200,4.383926296435865,3.4724162098793254,3,8.167208282015707,4
-OR,156,798,960-5296,no,yes,0,1.3164867925544863,7,3.8383104102082473,0.6736404883360212,8,2.3315912700416,1.5765400581048388,100,4.148563440537753,5.7729915986314095,3,1.2918662972348358,4
-MI,25,777,444-4688,no,yes,400,10.366939207175887,1,6.596730661350744,6.470422074642411,1,9.144608571827963,3.102254182178698,150,5.6665422859453605,4.169904225676387,5,8.330372151828502,4
-MT,154,778,706-3647,no,no,0,15.040461315113905,7,6.95467330543261,6.868538812475189,2,9.054831856404006,4.575894407403269,0,9.16136306299806,5.490732214347711,9,2.3763917893965614,4
-NE,65,786,181-2674,no,no,0,6.872707958168372,5,8.280470856704191,5.845740485926489,6,4.231301144163025,3.260908504849528,200,5.964800126116871,4.971731497789241,6,2.2924428949661984,7
-OR,186,798,371-6032,no,no,0,8.335556913548526,7,5.249526851357857,7.508772921353349,2,6.708360912810968,5.047195604097864,100,5.689329976079207,5.9104810545676685,5,6.20642825539343,5
-OR,96,798,564-8305,no,no,0,7.912409233157322,1,7.29757217401133,5.0557511856161765,4,5.660703755771895,6.910637317244938,250,4.869885707881184,3.68145303880661,5,6.829208493448732,5
-CT,28,678,497-3562,no,no,0,2.2676901890869163,6,3.35015489638804,6.202982976033143,0,5.018634564963973,1.216654990456854,450,4.130463053358605,2.7772137525586915,9,0.8118556761750515,10
-UT,98,858,883-7506,no,yes,400,6.719360155071891,4,8.108307641617607,4.871602457627934,7,3.7436516505439985,3.8473825666831134,200,5.9697223302146085,7.5652930148486375,7,1.5640939801467681,6
-NJ,122,787,469-2515,no,yes,100,9.097573965134288,0,8.780852769568144,8.873166012230229,0,6.519794100670612,0.4359993680702976,350,6.244398770750734,5.476810567210793,7,5.439952713617421,4
-TN,140,847,619-7710,yes,yes,400,0.7697259796467177,7,4.103815673363724,4.465700011574938,11,2.497647972537412,5.369490909429481,350,1.397802556326457,5.478811853772139,5,6.157717995473722,2
-NY,124,788,489-7019,yes,no,0,3.7526363340741096,4,0.4948900297925967,5.090340912513338,1,2.4591740364122168,2.494519005667919,250,2.3878154350710408,6.0591819667067215,1,9.540489774913649,3
-MS,20,778,264-1742,no,yes,300,4.019666879376303,3,5.793114508487411,6.047298071128527,7,2.478944985855001,5.034786505661133,300,6.122873639567993,3.3528983935347836,4,2.800452578937108,5
-WA,126,876,977-2574,yes,yes,300,6.544093937632048,7,7.803867769740845,8.46313498172881,10,4.973144229976358,5.44266681037369,400,4.6862144498747895,3.2609251837816275,4,6.046598113252276,3
-NV,8,788,164-5613,no,no,0,5.048468339252191,6,5.7934471619724635,4.213090420908031,6,3.5933092233906985,6.081862570042034,100,4.780261005207483,5.596583840394389,5,3.2882212444102805,6
-ID,110,736,372-3166,no,no,0,1.479340729760389,3,6.456066164373988,5.923898313333732,7,2.4723733220093846,3.9542203486148684,400,1.6882693295613644,5.653632502377527,6,7.751347609572424,2
-IA,141,736,174-5224,no,no,0,1.6671089522599676,6,0.2685275756632599,2.3029150640750107,2,4.324411967909656,0.0790911327982382,200,4.277142235620757,3.843823354373636,7,0.33631583205181936,9
-AL,107,657,712-8934,yes,yes,400,3.608654204608937,3,4.234138384509948,3.723322997942794,2,5.569606708532868,5.03138185513797,200,5.342101246634892,4.9351871642070755,0,5.750442160852558,7
-ME,35,776,332-7771,yes,yes,500,7.692130722150542,5,5.815048336483906,7.199465040234015,4,5.999775764693814,4.780410186215066,350,8.052681823332362,5.533719486618684,3,3.5054501862752487,7
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-ID,121,736,218-2637,no,no,0,12.674630341609445,5,8.832478679221056,5.009185524698547,7,7.375896207857858,5.1385684964710485,100,8.023238534787493,3.059668570704288,7,1.7635660856499786,4
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-ID,53,736,424-7450,no,yes,700,5.596596132430039,3,7.0262504109229065,4.911210520632569,4,4.686606554885374,5.07067745797704,200,2.92656511643869,5.7195049701337135,7,6.948147585559436,4
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-MN,165,777,446-4000,yes,yes,300,8.772346470028378,6,7.947166186733209,7.697365173294918,3,6.446976684769674,2.389317725816584,200,7.334252601921578,3.469243619378319,4,3.6673010869833305,8
-AL,137,657,555-5504,yes,yes,700,6.1992595237248524,2,6.4134465729825525,4.211998855689715,2,5.203073095934178,3.6522044897833736,250,4.7150572986410735,3.681737120713716,8,4.248622640424848,5
-WV,144,878,822-9597,yes,yes,300,8.208166876622826,4,7.9490858747563395,8.236819978041982,3,6.305248003798277,2.7752612429941883,200,4.645468607508053,2.572351662353517,6,6.7281516557752745,5
-NE,52,786,396-5161,no,yes,500,5.007708132840347,4,6.105618009080516,5.0002799896539205,4,4.960829455065221,3.6935223394669614,200,4.875562929481237,3.8214290801789135,4,5.607058134824456,5
-ID,161,736,879-5949,no,no,0,10.495418824857358,4,10.196430721885106,10.281596072228089,8,4.8185374305112285,6.7394863628215855,400,5.293015948577716,5.7087693886539705,7,6.135014687845968,5
-WA,79,876,848-8979,no,no,0,2.9552912098796296,3,1.4853448103210978,3.2950937579789086,1,2.272229136960037,3.7437664725266893,300,0.20731388554966834,4.21491944414529,8,5.070064111397817,6
-NJ,150,787,182-1715,yes,yes,200,4.6834277247282765,0,7.592225755055503,1.8940508030165644,4,4.15493818724896,3.760642468809857,100,5.094953242086307,5.8026980958337715,4,2.3607187724301397,8
-SD,30,836,312-4646,no,yes,600,6.019068800639748,5,4.91435873654773,3.8577778679874206,4,5.041035698519053,5.7963377058149135,100,4.282161411839523,7.982202055995373,7,4.832716090784577,3
-DE,55,686,563-9580,no,yes,400,8.622185648845228,6,5.322886821996124,7.412014075269695,1,6.310152425292285,4.142484912774503,150,6.777477791994157,4.022754618012882,7,4.0902426781757635,6
-FL,92,707,491-9638,no,no,0,4.673486189155745,5,2.870664269145388,2.7071003731703263,1,7.258099008811142,4.6448508384093214,350,6.008527136552839,4.3715794052707535,5,1.1812258603223986,8
-HI,103,727,653-9728,yes,yes,400,1.5486625538728522,2,3.684568970056665,4.381659712040992,0,2.839589844667087,2.6252988217690505,200,5.675805840782568,3.5819638037410533,4,1.9940124049784616,9
-TN,60,847,420-3420,yes,no,0,7.148564234689284,5,2.8555915283605025,1.627748170424549,0,2.5517179483415378,0.3203363553756517,400,4.346598015217727,6.0837480822476735,6,4.947687257854351,10
-OK,110,797,669-6171,yes,yes,500,9.046605203580484,6,5.544267431750371,4.968872812498554,2,7.255268331644737,4.1349588868201534,100,6.19783021534514,4.080032475023814,7,4.380795118722824,4
-MT,168,778,220-6920,no,no,0,0.0540015733777901,5,4.091245479393792,4.732887989616955,5,2.5993945206286053,1.7732345022139304,350,4.398188141646616,4.255911411545118,5,2.009369286641133,6
-WI,131,877,579-5592,yes,yes,300,6.9472592646626445,4,7.146597057167875,2.5551755267000797,3,6.4638554546350395,3.9961884530777114,50,5.863425429088433,3.441011550719136,3,3.7488821448687184,7
-HI,21,727,757-5707,no,no,0,0.4432268004794775,5,5.1343627004144325,6.254388765766906,5,2.3202162922024514,1.6527839479648865,300,3.255477420744212,6.2391512129384425,5,6.1880457532487325,4
-WA,190,876,243-8239,yes,no,0,0.7696518599497448,0,5.450964833553629,6.446011488595806,5,0.1950636194915294,4.067060912756552,250,1.5615087346716834,2.7678760768693738,6,7.001967278419203,4
-SD,17,836,830-5255,yes,no,0,0.27365510219705325,0,2.6125469315553773,0.8191575106630422,3,3.682726624446192,6.605252793860704,250,1.0109015784900008,4.7339679028047765,8,3.758482366174288,4
-SD,96,836,545-9439,no,no,0,10.003299931179278,2,7.909929023430929,4.0535231037603845,3,7.443767281287008,5.272877931105255,50,4.647802315425169,6.544899771457668,6,7.064646294356347,3
-WI,12,877,755-5128,no,yes,500,7.3050902881298425,3,3.6084387759949688,3.0005776799962884,1,7.779190737899997,5.036514522568269,200,5.2613450044268175,5.587126805404735,8,1.6238288600983166,8
-MI,96,777,559-7094,yes,yes,500,6.6792632307422615,6,3.780040427208696,4.922759195143118,3,4.436759795077481,4.654241636544478,150,8.187812532875283,4.908771353817163,7,0.7689715802539352,7
-HI,134,727,561-3035,yes,no,0,4.014313040114753,5,6.590673265873487,7.507608617347647,9,3.040053145743872,5.553986181499322,300,4.57136688341701,4.095182123583428,2,7.457683209021186,3
-WA,83,876,888-5115,no,no,0,1.1845357231802875,5,3.2387741403033106,3.6161185304645245,5,4.070075903170326,3.111485177430485,400,3.9232080956161486,4.019472319766057,7,3.5195768421293883,4
-TX,170,848,461-4662,yes,no,0,3.1068767487087148,3,2.3829926812279703,4.376942684135922,0,5.787920950794357,5.4997005465546795,300,3.253439001757565,4.177663210706045,5,6.440684035072457,5
-NH,3,787,920-7640,yes,no,0,11.007545755305767,4,9.97287748506758,5.590855062547325,9,5.922537061946608,5.073471955162205,200,6.481092675643919,4.164216491390118,7,3.728988661359596,2
-ND,193,786,955-8065,no,no,0,0.38055693867203466,2,2.935936818386926,0.5454009497286325,4,3.3457083966391314,4.221307509621559,250,2.7983812159750032,4.7381867950002405,5,4.386867335519431,4
-NV,159,788,290-1366,no,yes,500,1.6517292715133545,4,3.0349094635098,0.13750965851971664,6,2.145765492824925,2.7153253821691234,200,3.6506132369117217,4.715242478516761,5,1.2815234390205403,5
-WV,102,878,324-9518,yes,yes,300,3.3302668399664697,3,5.847443730080315,5.902762154278785,12,1.4160840837486202,4.029076596591092,300,0.8190927451998977,5.45204459987235,3,7.999525185436879,1
-TX,81,848,939-6984,no,yes,900,2.4355371586977625,3,1.5190528947520106,0.5203592668275432,0,6.012356317639261,5.4453955587738925,300,3.7628600930440403,4.437505283461325,7,2.4812383479730875,6
-CO,97,677,640-4373,yes,no,0,4.9346175492776725,5,3.2985612625991583,2.463949361239446,2,6.9207800830839625,4.540760139836175,250,5.709153164440982,5.254816802532869,5,1.8037391734827533,7
-ID,122,736,539-2693,no,yes,500,0.08112867897520548,2,0.09212116565856833,3.828035372769232,3,4.290961020971573,3.32985540161142,200,5.489728066073613,5.8722868554972765,2,3.2282074960482965,10
-ND,113,786,864-9613,yes,no,0,4.920547744271835,4,6.835422005249081,3.9212505197429217,9,4.410003203213886,5.5791405676060055,350,4.604976786295051,2.933607278580221,6,3.1001348850655788,4
-SD,76,836,476-9467,yes,no,0,0.3601689242349648,9,2.332877128529712,3.288737749026847,4,5.455340824712512,1.6389627147475443,350,2.786718914733409,6.147807727295502,9,1.4088476485053834,5
-ME,156,776,647-7564,yes,yes,300,6.2450601592277275,4,5.899054714319747,5.504851723151204,3,4.91398650675214,3.7583554308676246,150,6.853995272704557,2.456763400639169,4,2.108290227492992,8
-MI,89,777,468-6742,no,no,0,3.0329424311274904,4,4.326956143447147,0.5072382708428664,5,5.100175161932573,6.659860921240232,50,3.4137615133718504,4.558845360382946,2,6.820232041600312,5
-NY,88,788,447-1784,no,yes,200,7.810888615987692,4,6.772454395373372,5.715443851435742,0,6.3673290012440455,0.6603088031620654,150,8.279107302377763,6.3860458182259245,5,0.8255746058564899,9
-ID,75,736,399-5775,yes,yes,800,4.096505082265394,4,5.504117424602736,6.526019593432657,6,4.14139034279683,5.877901357478603,450,2.734737547841751,3.897035526916493,8,5.596073784193103,4
-KY,85,758,439-5006,no,yes,500,7.484257027874602,3,5.012905269046519,5.259528409265934,2,6.446376320223737,5.920287308436926,150,5.032955550383409,4.872018878397327,5,7.687190856316833,3
-DE,55,686,547-3973,no,yes,300,3.413915013150977,4,6.959675532885723,4.331199119215879,9,2.0336385182545245,5.8058942532026325,200,4.4716950905505035,5.863371299049405,5,2.5385075408650284,6
-HI,170,727,766-2230,yes,yes,400,7.548639707984915,6,6.3525701769221605,3.772460209056834,6,4.7819257396358905,5.09058225630338,50,6.626377525314842,5.2855033912225515,6,2.074447212375584,5
-NJ,144,787,930-9872,yes,no,0,1.9609537421843781,4,1.5926703498815908,0.2387338975499169,4,3.0432588324364502,4.930277086172121,200,1.1751684057375176,5.219816956726206,7,2.2816919786601115,5
-TN,177,847,833-1412,yes,yes,500,0.2715652815861871,5,2.3631728103882472,3.777422038615308,1,4.096631625808011,1.5734100000875784,200,3.6768827547541134,6.525195789911594,3,5.813076256897988,5
-ND,59,786,493-3747,no,yes,100,13.427518667590649,4,8.496725300152885,5.917065406488955,5,9.582424880438808,6.104407979758988,100,5.8110661358952145,6.05194877714223,6,7.7843695514676225,1
-ND,186,786,867-3951,no,no,0,0.9235949171274208,3,2.892360206761341,3.570590847882986,2,3.7585103033236247,3.8495062233138264,300,3.734349876431837,5.342708719080526,5,4.035535534740523,6
-MT,25,778,460-4253,no,no,0,8.659049396889163,4,6.266001095426643,6.647353571749072,1,6.753481803782302,4.3301941914127084,200,6.773656581736318,4.6284284195876655,5,4.118671526149898,7
-AR,127,658,570-9823,yes,yes,400,7.526318546400898,3,4.501648316118738,2.8669976051386983,0,8.174638687114454,4.714480597588897,50,5.829686930947081,6.081809102028246,3,6.530165351281277,4
-LA,198,766,728-1830,no,no,0,2.83245704830412,2,5.382419603606127,5.633078987830404,1,3.7979443531517036,2.675238525597043,400,3.326788719857523,4.746262758446923,8,5.103397642347762,6
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-SC,2,836,611-2924,yes,no,0,3.250953372878953,5,4.121093403361815,4.809137296497991,8,0.14143437078437504,2.0811459577161777,300,1.848413503338738,5.303413401440065,5,4.6851534776060335,3
-DE,87,686,631-6534,no,yes,900,6.009231992802834,2,7.217990786822567,5.6210552664653015,4,4.9658360604597265,5.680514544078957,300,2.720531776956915,4.792492303383079,7,7.576079418775199,4
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-ME,185,776,677-3968,no,yes,500,5.2928365075293735,6,7.230625369999433,7.90327115575292,8,4.032911736657192,4.431652429788609,350,4.401284140931949,5.639287288905753,5,6.635583472067988,3
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-OH,70,797,284-5758,yes,yes,700,7.5116729898889565,2,4.906172049327974,2.9792283660551098,0,6.7224229074993636,4.390958125144437,200,6.900591864572164,5.098033864581399,6,1.6758025260111111,7
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-SC,66,836,636-8316,no,yes,500,4.406717542675027,6,1.2136813532468222,3.4277084670123945,6,1.3145519994713943,0.4589513468738176,450,4.363613548004828,5.5730293025129845,4,1.2763033030420576,5
-NJ,195,787,894-4910,yes,no,0,8.434602149460684,5,3.439226717132148,8.014080385649152,2,7.9161846689434014,4.032909936973288,200,6.449484860843084,6.015855430372563,5,6.8089152432115565,5
-HI,117,727,298-1338,yes,no,0,10.525300234015539,3,5.495751521934358,5.3797052355802935,0,9.209842936462671,6.030737256113159,50,4.002628140377556,5.728764931081799,6,11.093796239798536,1
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-MS,186,778,385-4117,yes,no,0,6.189769387385378,4,5.974655130878046,8.860288308806403,2,4.854425834839577,2.5907212940908737,350,6.937313170326681,3.5406914791611426,4,3.341988231132505,8
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-SD,46,836,368-1618,no,yes,700,8.968988320925604,2,5.300370559658144,5.052554326394578,0,6.559411962948108,6.209353886065808,300,6.38392628551083,4.474111490191218,9,1.0532172555035242,9
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-OH,43,797,247-5012,yes,yes,500,6.081426630671835,4,3.7531387398269516,4.977499644355404,0,5.334073586458414,3.893821528813578,100,5.477936017362695,4.334747476331852,8,3.7655261357330914,6
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-MN,43,777,960-7646,yes,no,0,8.462440353293903,2,8.408187490647219,6.292422230092781,5,5.852429904560809,4.397269526713393,250,4.992320112753198,5.9879300081500615,6,5.817463803963218,4
-IL,45,737,587-7771,yes,no,0,6.239181247765485,2,6.663515708108107,4.06335516675672,5,4.920287761247359,5.057986165957519,200,5.6870482305619925,3.662018371210353,4,3.5749793391722564,6
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-DC,102,686,999-3178,no,yes,400,5.5342680311272465,6,0.9495478357686684,3.455298897198478,8,0.7418547734500078,3.1335403328056697,350,1.4675678353253154,5.004576153232092,3,6.301522719696733,1
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-DC,77,686,292-7951,no,yes,800,4.449352494884394,0,5.131580469046642,1.1217824178908715,0,4.833432194509591,3.902484452821402,300,4.577760855165949,4.638173568898184,10,1.2230768435352548,10
-MN,34,777,306-9276,yes,yes,300,11.694709411138229,3,7.320245652818472,7.889778612736848,3,7.956936884636607,4.568714155864547,250,6.5206220242445445,3.4515886151710697,8,6.319296410098529,2
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-ID,47,736,541-1052,yes,no,0,1.7058721764969436,5,4.5184495838751575,7.4714404774268015,6,0.8119314567486349,3.8432897088212346,450,0.3658736804887353,6.8909742055488215,7,6.431717241992363,4
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-TX,20,848,945-4109,yes,yes,300,3.046504206094088,3,8.77136192721189,9.587755567201162,10,0.5305761496207797,4.128582015223777,350,3.370742087058317,3.259572301203811,4,8.05985757882857,3
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-IA,193,736,250-9435,yes,yes,1000,8.249791311973897,2,6.581569846597666,4.33511668037146,1,7.160624963450241,5.7140502226701155,300,3.7642786374742365,5.272825054535619,9,4.425759461409012,7
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-MO,159,777,323-4810,yes,yes,600,3.4451943071671867,3,4.257348881850964,5.228298315257964,3,4.118070754829159,4.402910308651135,350,4.69845716188363,5.037930368942996,6,2.8993674584746496,7
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-SC,109,836,847-6526,no,no,0,7.196086664424229,2,5.998158260000848,5.322631401383038,0,7.366522147213688,2.214887010193051,200,6.043816167242452,4.490679011541526,4,5.404508051475983,6
-VT,116,868,163-6289,yes,yes,300,6.448633402578701,2,3.2280522267278253,2.1448700762987003,0,6.559478690850821,6.3420649090724766,50,7.036358227187086,6.258801404077131,2,2.9256776356280554,7
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-KY,61,758,581-9333,yes,yes,400,9.045879903160463,6,6.46457826011898,6.999133321067956,7,5.944698490042354,7.845126670717938,100,3.967454560748769,4.369371252499726,7,7.724923182477464,1
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-IN,183,737,329-2034,yes,yes,200,5.176225194020424,2,6.817612561701977,3.9397690006271433,4,3.5588817936316985,3.0237346292068685,200,6.539641680835989,7.040878496826132,6,0.0427828949548239,8
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-RI,159,827,726-1535,no,no,0,1.1347389505560797,4,1.804309618156,0.6839108196519668,3,4.049267991232616,3.7104871852910977,400,1.4849363188681577,5.475082524472801,9,3.0340030110498595,4
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-OK,123,797,188-6464,yes,yes,400,7.411638714338938,3,6.321692813677513,5.3532027864629645,2,5.433621100595783,4.196591775582252,200,6.306387230076539,4.562364006053499,7,1.874049504642516,7
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-AZ,131,659,760-1600,yes,yes,100,10.249510802406,4,8.294318756495331,8.00744283403474,2,6.287890229701341,2.593753888550564,200,7.3224992084694325,5.298587247295881,7,2.4876481213054644,7
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-ID,72,736,855-5447,yes,yes,500,5.113078537300812,5,5.1736441039306325,4.823358712587359,4,5.795273099468548,3.7830769848298567,250,5.425019461847486,5.8997508708177495,4,4.381383304637314,5
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-SC,137,836,603-5338,no,yes,300,1.7770145900107686,6,2.66180823176136,1.3603755853158268,8,3.2540241620023824,3.1517214788508534,150,2.880945788519851,4.1394259772706645,2,5.8434817062054805,2
-NM,142,787,526-2129,yes,yes,600,7.098196087057242,3,5.232512020722947,4.8871521907595845,4,5.653994384025236,6.5596197821334,150,4.463234514169931,5.143077895339856,6,6.691082059867417,3
-RI,161,827,244-5499,yes,no,0,3.922456336308212,3,3.879876666292299,4.165889532175998,0,4.126669195863379,2.324648957816136,150,5.970869370137407,3.069798306085452,7,0.5357154433569633,8
-CO,55,677,118-7198,yes,yes,400,4.665733583375938,5,4.434051726993323,4.371493302274608,6,4.019764740236154,6.380237863773159,200,5.580084586785358,4.1739134002631095,4,3.8603243395260014,5
-NJ,99,787,965-3761,yes,no,0,7.8252947524632415,1,4.720886707767503,2.13275902308468,2,6.6270431855744265,7.809300257920312,150,5.85731327797041,5.376637943955863,5,2.70711115412392,7
-CA,20,676,918-8364,yes,yes,500,6.223080481211648,4,4.408116917036612,2.794514490325243,1,6.334078216197165,3.843148414154381,300,6.619868836463136,4.545297409285622,8,2.8202611841509686,10
-MS,6,778,545-1758,no,yes,800,4.644654672912286,4,4.5032004711442,4.976604355618264,1,5.551672679395717,3.904821995610174,300,4.390047130800818,6.5209533901819325,7,3.915043841911628,7
-DE,175,686,389-7346,yes,no,0,2.7326756769210463,2,5.001891937948437,5.614378915960011,0,3.0833577430663963,1.3039535707711147,300,5.608875720772631,4.544283775858143,6,1.7296070560660453,8
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-IA,25,736,619-3068,yes,yes,700,7.893803531756567,3,5.836891284946686,6.117099321905166,1,6.378252742593143,1.786083342863548,250,6.882431651577972,5.185368132339935,8,2.3220158287996955,8
-HI,41,727,155-4338,no,yes,400,9.74367275706584,4,4.5991113054711175,7.865333195231277,0,7.911924540620013,4.835159208741307,150,5.972415907516862,4.582330554480794,6,7.3410166415831775,4
-ID,136,736,263-1838,no,yes,700,1.0153687695585152,5,1.5953283850896915,4.137443032781169,0,5.098848320985035,2.5623821141266827,300,3.4630825210744365,5.184543390161013,7,3.9851896646565916,6
-DC,140,686,426-6980,yes,no,0,4.854800843294177,3,4.648065396765592,4.121944911126091,3,3.9756431499465843,4.0302372555053125,200,7.582277942467207,5.614852705873023,4,0.04082549622373488,8
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-SC,40,836,235-8352,no,yes,600,0.16349734790986936,3,4.344716961167752,5.9218721506166965,4,2.515265371698972,2.9289932215290517,350,2.8815045591466646,4.130403297339802,4,7.1116482143968245,3
-MO,27,777,236-7028,no,no,0,3.8954700705589813,1,4.564941363176198,1.9208315812817265,2,4.187244002724615,4.150959398979609,300,5.542901399425162,3.089587942628743,7,0.6476656279920157,7
-WA,33,876,868-4826,no,yes,100,15.992383819055025,5,8.516873576273895,7.54454983265696,2,11.158817438603055,5.223839323995173,50,7.051137471788336,4.776581348519441,6,8.082734307668295,2
-OR,23,798,703-1915,no,no,0,8.049541238354566,6,2.432295033075817,10.067411935967089,3,7.784661185421741,3.3799131643107208,200,6.575583896890727,5.210202317595165,6,7.549224161070193,5
-WV,178,878,992-2607,no,no,0,6.340226733344034,4,6.11203733001162,7.665001006987461,1,5.765735085640883,3.172635247336194,200,4.826888438575678,7.397650024679427,5,7.205904938214543,6
-HI,46,727,468-4200,no,yes,200,10.44929541828171,0,11.104031672851177,9.913815274096699,5,5.4718537013861255,3.765455933375682,350,4.023037486084687,4.729085512900789,8,7.955004137019957,3
-FL,188,707,916-5233,no,yes,700,6.8401797937289945,4,2.524994435679074,4.923791585607017,5,9.313147590712331,2.8931532320633804,100,5.101525320797263,5.308643110933762,4,8.975228314258025,5
-NM,7,787,128-2146,yes,no,0,3.170744935037698,4,2.5921999008298844,3.7274449096324425,1,4.890297456784547,2.656077672508958,150,7.265429137335662,5.584028703838649,3,0.991373115794402,10
-MN,100,777,495-4240,no,yes,400,4.997490443201559,2,5.981428044891927,2.558671716600672,5,4.522809715074906,4.035615532712786,250,6.0986807147213575,4.670228495235062,5,1.6536006872482227,6
-MS,170,778,682-1725,yes,no,0,2.6522663003260787,4,5.482915971108679,5.859582412592036,3,3.852673595055669,2.789274961980107,250,4.510707112672418,4.1564890635412,4,4.1970595723417565,8
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-CT,6,678,688-5742,yes,yes,300,5.9286616517346085,1,4.22598037889633,6.364490523819088,0,5.313506185890273,4.419578188684337,250,5.997148618607577,5.661615216202528,5,4.30575918761372,6
-NE,175,786,670-7712,yes,yes,400,7.221521319045976,3,4.490718960998463,6.584852683369192,1,7.4118563720237365,2.908438765795176,150,5.859316668927803,6.835830063252678,5,6.357526625633764,6
-NE,149,786,404-3631,no,yes,500,4.236283926422681,4,3.814108512124162,6.338599147048724,0,4.659089755987137,2.7235666923855586,250,6.284370912150623,4.766662068170112,5,2.6441451482279383,9
-NV,78,788,371-2386,no,no,0,7.3725358402003875,4,5.643560363468577,3.1461684387166704,2,6.139045567229634,4.467812419365624,50,7.275681650301618,5.390026624837144,4,1.8860074323878517,8
-CT,29,678,624-4537,no,no,0,8.964728798907764,4,7.199083871710298,5.8091222623564365,4,6.471143857582014,4.894734571177769,150,5.561594301466607,5.774637224313871,6,5.490970130246072,4
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-UT,194,858,216-3219,yes,no,0,6.4018602699857645,2,7.260935742590518,4.767228301691552,3,5.7065483200179585,4.729403065477786,150,3.204989656923823,5.230150403473202,5,8.3266924626292,3
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-SC,181,836,902-3331,yes,yes,700,0.0785621178947915,4,1.1634856361011647,0.68881313504159,1,5.009106781368677,3.842902836134453,250,3.033309131971004,5.784108773653838,7,2.2130266673545056,6
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-NC,108,786,474-8776,no,yes,600,2.7046716802053328,4,4.141146727814402,4.816195365431788,3,4.1939692569846985,5.143947615545388,250,3.4533450990804857,3.9925981085854105,5,5.729848523461965,5
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-ID,101,736,979-3387,no,yes,400,5.234842890778278,1,4.364444320977017,2.7653548502051604,0,5.043702125518877,3.273098301114429,150,7.407477362079777,2.272057243256864,5,0.4938022818732213,9
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-ID,199,736,728-9944,no,no,0,3.1348159588230904,5,2.9621949748942096,5.582298547740373,1,4.872272432499684,4.24199674695243,300,5.0725445468009,5.062804087476816,4,3.991202809393496,7
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-MT,4,778,977-9823,no,yes,300,5.427814501292256,6,3.313802348715992,4.240457579739791,0,5.777856334092633,3.286808072750662,100,7.456042425567952,5.793319895802974,4,0.8117043870128846,9
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-DC,114,686,709-8537,yes,no,0,8.78517584461796,1,6.22921122147442,5.098746457611679,0,7.550254166159225,5.179815682051422,100,4.446050745011392,4.930180201263415,5,7.704161604998367,4
-NV,26,788,130-4878,no,no,0,6.990678773476152,6,6.968524847249,5.496852582561967,4,5.944932638947577,3.661409153483462,250,4.9006553009552904,6.572433790876491,7,3.2193222245315622,6
-TN,59,847,944-1286,yes,no,0,7.368763772903759,5,2.925915509881424,7.936633018731508,0,4.779369005522204,3.7442809897214566,200,8.282071603215366,4.949380849281057,9,0.19034629482957574,8
-OR,99,798,520-4009,no,no,0,1.1688959723246364,5,3.1028263743659323,1.7008204505824516,5,4.307887258614191,4.104384501630153,200,4.429914619981911,4.653557929750719,3,3.2491943502191485,5
-DC,171,686,810-9103,yes,yes,500,0.4671523543808309,3,3.629533639697137,3.3732960133350565,5,2.8921353204224696,4.140769049759411,300,3.737468034440593,4.370133518719698,5,3.9105274190175217,5
-CO,93,677,391-6755,yes,no,0,6.5269711289121775,3,3.9405155581701385,2.9536663834883115,0,7.092887693559313,4.3747737811153815,200,5.951376081943097,4.540936255868845,7,1.4496230255725733,8
-VT,57,868,584-9148,no,no,0,8.160807366270639,7,3.9978542351437096,6.6487676362605574,1,5.910623792353276,4.1072294311896655,150,7.328599519554053,5.4872785478474855,8,1.8559585512010692,6
-TN,6,847,763-6046,yes,no,0,3.1059394039410293,0,3.6558776896010174,1.5775006291294351,2,4.801381227420952,6.3889966299239145,350,3.3998708090384038,4.519839561713903,7,4.104740416624061,5
-SC,77,836,477-3205,no,no,0,9.577375869069362,4,5.087507807377682,5.601953671122521,4,6.1698235755333695,7.506354414095463,100,5.6593607531574674,6.152746462840864,8,5.321830607932322,2
-MO,129,777,473-2154,yes,yes,200,6.689225846612708,2,7.2645163085819116,8.407123109698558,1,5.307579695687417,1.83442498192086,300,6.1117679651156065,4.92864489523666,5,4.384595027151883,7
-TX,50,848,938-6380,yes,no,0,9.444291500335328,3,6.458816359471017,5.751649147525432,3,7.514224341655992,5.0606591412782365,200,6.541509618355002,6.2288774944505585,4,6.000711662429415,4
-NV,54,788,330-7816,yes,yes,700,0.7900867000700655,6,1.1124731594761768,4.405156972068821,1,5.215659304430973,1.4469245151090715,400,4.61854573356549,3.927020027821516,7,1.0389053721912165,9
-TX,2,848,503-4649,yes,no,0,7.844555564867853,3,4.985740205319002,5.00847864951859,0,6.737402548510013,5.651487833960745,100,4.741129015365543,3.1649506090919823,6,6.295896813752719,5
-RI,33,827,347-4065,no,no,0,9.929616149921765,5,6.013835156695068,9.315377625513149,0,6.5070115929604775,2.3696034850137746,200,8.457002812191265,5.307175911744362,7,2.010277431614424,7
-DC,121,686,487-3841,yes,no,0,0.8680204353948895,4,4.550538015714774,8.143065809441643,5,1.9355313112606611,2.9617998436900534,300,2.9353743712154707,5.808890829049492,5,7.73307441142634,3
-FL,10,707,247-6983,yes,no,0,15.679044256397779,6,9.707558413140378,7.607809010905927,4,10.326467467038377,5.347523169530901,50,6.386412469484912,3.275728118868676,7,8.128085935784714,2
-IA,172,736,483-1086,no,yes,100,13.227378301606107,2,9.55303210104357,8.130796392936102,1,8.962237868344882,3.5056569430851487,200,5.6836220066160825,5.614934023378608,8,7.208737700644939,3
-ID,28,736,457-1892,no,no,0,9.396405939928556,4,8.074439023152713,8.172882742588204,4,5.915054486206218,4.124436843724337,150,4.858023329068441,4.664291841481784,8,5.776521065018273,4
-KS,147,758,542-4193,no,yes,600,2.2570776748469616,4,4.0749056192192175,5.104188607200847,4,2.3108514272541645,5.327815148031691,200,4.7364746885718825,7.275802177145825,5,3.657725864178291,7
-AK,167,657,635-4931,yes,yes,600,3.4302559163448767,3,3.1208955310437787,5.386754479863054,0,5.104656791288479,4.1984211398406535,200,4.690859139401257,4.153793516684011,4,6.2654271854285,6
-VT,4,868,849-1468,no,no,0,3.638722868927605,7,3.4789120310604,5.130774493971593,7,0.3956808912900911,1.6907936291012682,400,5.173970172164377,4.134665794243514,4,0.9806853098488064,5
-MN,149,777,603-9983,yes,no,0,10.337066439382257,4,10.228487262510603,4.420917764067936,9,7.97260640510301,5.081757112027355,200,5.300832957244598,5.839879947720938,3,7.106802476277805,2
-MI,71,777,846-1993,no,no,0,5.158953737280294,2,5.821935460549701,2.3095661634031583,3,4.983601128307604,4.510990178290446,100,5.349672895114703,3.945007072353533,4,3.66110988343324,6
-NY,59,788,923-4732,no,no,0,10.26806908742784,2,6.303396353400308,5.716670475712927,0,8.367777906789748,6.400603629586746,50,3.440221238023053,6.278272505202104,7,10.187052894126127,2
-RI,72,827,334-8091,yes,no,0,3.828206205754449,4,5.730611615694829,3.7662003626903866,4,2.5740246913513976,2.4735600310317403,200,6.2361272861980375,5.234642992004925,7,0.23310780077883564,7
-MT,45,778,269-7898,no,no,0,4.655580242568126,2,5.304711734826603,5.120947154461071,2,4.7145439693572335,3.3534314890240844,250,5.230276196379776,2.36613746666891,5,3.5286456361154355,6
-UT,114,858,531-6451,no,no,0,4.9453157119511335,1,5.522567099434878,7.574657257977128,1,5.115872755389564,3.864863383842175,350,4.072023539475168,4.533102481633788,5,8.238163998163243,4
-NE,116,786,157-6634,no,yes,300,5.720569163895349,4,2.8171136242225474,4.096705687874478,8,1.0604746310267812,1.003071268259664,300,1.700264228443912,5.434149044362061,5,4.1073261662469305,3
-OH,83,797,457-2434,yes,no,0,1.9659144492521718,6,3.6141162532162174,5.079880302707331,4,3.5869965234559062,2.8401420003775444,250,5.044962120887728,5.566515855964303,5,2.2800400587375838,6
-HI,161,727,974-7773,yes,no,0,0.8750888338032947,4,3.5886284947010685,4.910024025155372,6,3.0425411515675784,6.199675838597956,250,2.8367696949400543,4.818097217071443,2,6.6415549722108675,4
-DE,122,686,363-3777,yes,no,0,6.466980435676723,3,4.61480117347584,6.583793038235246,0,6.441051471756212,3.927845599539042,250,6.872332227269888,5.184683860486057,2,4.6390220909849855,8
-DC,101,686,897-1629,yes,yes,200,5.178219483443299,3,4.55653786551421,3.9846651914563465,6,4.234217687493033,6.276352113537112,350,6.752159081939603,5.278436913625833,5,1.0292001345048192,8
-DC,55,686,500-1089,yes,no,0,5.012641936576243,2,4.736701438788439,4.133326957789997,0,5.8038816640929545,3.8826305046956913,200,5.809720533658786,2.8927997702366715,3,4.876651307162897,7
-UT,163,858,649-9584,yes,no,0,2.8951720920333797,6,1.6318090275921715,3.562528541384073,0,3.6252694892685935,1.6653325915173585,150,9.265219333660054,5.579796416150591,5,3.795285253436665,12
-NH,190,787,397-2137,no,no,0,1.1494585868673042,3,2.975489536143378,5.938740246151201,2,4.276441853396805,2.5432287598720458,250,2.2478616531071216,5.34342836589343,6,7.721281091512036,6
-MI,120,777,499-1728,no,yes,0,15.143888172405575,1,10.912197311842151,8.525350213854919,2,10.045642179060524,2.641965291373368,250,7.24754756746041,5.894473364016313,6,7.234896234547285,2
-TX,26,848,916-3712,yes,no,0,4.3835447162108805,6,5.1208089272075465,9.164225525450426,2,3.287955273835344,3.036602288308566,300,5.583924819394738,4.525712397880864,6,3.8210659673068332,7
-CT,27,678,665-2986,no,no,0,3.397669841000738,4,5.094149919796483,8.958514632852749,1,4.004865958695713,1.5671187786132819,450,4.304113281270409,5.5695252552982355,7,6.523071445094653,5
-DE,68,686,611-4230,no,yes,500,5.480030099562002,3,3.493511605997877,2.378365537839226,1,6.872664170080942,5.877522390380608,250,5.251431251902613,5.928404833160486,6,1.864618242667904,7
-KY,181,758,331-6330,no,yes,200,7.714843815320274,1,5.189683027779384,6.506267656713692,1,6.770530867644037,3.8089841675773193,200,6.419908727327943,3.977215552897178,5,4.365525435861394,8
-OH,19,797,691-4759,yes,no,0,3.574827342857413,2,4.664369720475124,6.96643049243637,0,2.867875873855521,1.6690526757422317,250,6.063921754966314,5.6930275814098765,7,0.6552942044028951,9
-UT,162,858,500-9310,yes,no,0,7.0424901255030266,2,6.939755259433272,6.381331879284008,6,5.188520583281451,6.966677040249501,200,2.8674409783348493,6.104348899604896,6,9.333184411992974,1
-UT,67,858,562-3613,yes,no,0,11.224632592205463,4,7.559706317590607,7.758579715738035,3,7.516921277042473,5.676367287145842,150,5.634225909315058,5.375071546645229,6,7.188077299600916,3
-ME,171,776,555-5822,no,yes,500,3.5727494127891584,3,5.159833781050562,3.417196422914294,5,4.0521094381060445,6.535807710744063,200,2.4051890604991844,5.946598488913399,6,5.172998322637277,4
-AK,34,657,669-1242,yes,no,0,6.600276557969828,3,6.058018400300435,3.809891831263751,0,5.4550396360037565,0.3851549268807784,150,8.570495234402474,6.049713031833495,6,1.5732383752818064,10
-SD,29,836,612-9778,no,no,0,1.9912468269649268,2,5.420743631331941,3.974611639966788,5,2.3506999654895457,4.654911692964129,200,3.923052014479096,5.12571369626268,4,3.677840315235928,6
-NC,117,786,440-7663,yes,no,0,13.093950606561249,4,8.044257039754791,8.109271168248949,0,9.543389709512637,2.7006286220466214,100,6.818748479190807,5.270520028266276,7,6.356999443683872,5
-NH,66,787,978-2682,yes,no,0,10.696301119958976,3,8.478122563972377,6.291299810499063,5,7.025189386424036,7.414348820895532,350,4.930026472796706,4.154617968284795,8,4.207292103449341,6
-SD,158,836,914-4214,yes,yes,500,1.3585086339858208,4,5.1131859645627085,2.1799288945106348,7,3.2321918009832933,3.988013134778472,300,3.0486247268822084,5.921191398765261,7,1.4449594046595866,5
-AL,15,657,395-3618,yes,yes,200,3.4059784242150206,2,6.914666106378823,6.5863834653707185,10,1.8199150407917952,7.685357837679732,200,2.274236582431451,2.1098775469458033,4,8.748588496853657,1
-SC,51,836,955-4359,no,no,0,5.317223489475647,4,7.846583189840692,5.150575299237478,7,3.8804509317138844,4.300777539996217,300,4.159589443546995,6.7592592479785685,6,4.000002350779684,5
-NC,110,786,813-1726,no,yes,300,7.48581935192245,2,7.615066591034402,5.286665354232447,4,5.4586562256742965,4.184660115589842,150,5.472568297049028,6.5734880847608075,5,4.8712356138077375,5
-OH,197,797,660-7634,no,no,0,0.8452265611684595,3,7.061827459805088,5.041472053790248,11,0.7534876007596569,4.523162486742163,300,2.6857258932955848,5.350461004358339,4,5.742350533552654,2
-VA,9,866,149-9327,yes,yes,700,0.927895524662132,3,4.954898777665145,3.6873554528195753,6,3.070758047974347,2.85812138779112,350,3.5346188199094613,7.103652972615075,5,5.045950416878017,3
-NY,35,788,585-4027,yes,yes,500,5.80313334399791,1,6.160324391997528,5.407452574725054,6,4.002298326340004,7.014782039678368,350,4.369986705562125,3.856655330281285,6,4.569501431840005,4
-MN,63,777,313-1780,no,yes,700,4.978067630149386,2,3.1999525667858766,4.227933872740473,0,5.703581520058353,3.9644488617071256,350,6.533643586547228,5.466407931108207,6,1.1619247567587772,8
-SD,94,836,275-4285,yes,no,0,3.523443298825307,0,6.086794095608688,7.23884113191828,2,2.231197662773469,6.3169936642523545,250,1.6125401486897781,4.045228242380933,7,8.447350155062328,5
-WY,130,878,321-9317,yes,yes,700,1.5221727152062754,4,2.698735612184599,3.9704829032750575,0,4.861574612489619,0.4688297132487369,250,6.574697368103855,5.27311332508673,4,2.6783689533332584,7
-WI,140,877,668-6890,yes,no,0,7.7195221195989605,3,7.054793426607242,7.511170699475852,2,6.4324412577839825,3.6146780484887695,250,6.56757493146571,3.400677567624627,3,4.300227518609081,8
-DE,84,686,452-8558,no,no,0,10.786762095721306,7,7.496534934595246,7.590409825284032,5,7.562650416506393,4.346406438334025,150,6.434912130918598,4.060559071779363,6,5.56197750772961,3
-NC,161,786,842-9043,no,no,0,4.146624497458071,5,1.3822590661873404,1.2973314409105203,5,1.7752917359765743,1.3594778336976585,300,3.226648909333213,4.0318507418174105,5,1.20610094573345,5
-IN,105,737,564-6244,yes,no,0,2.6882980693457346,1,1.4086820701356606,1.6990020012441542,1,3.0111858842208465,3.2147292856926626,250,2.6904953856889264,4.51593352907401,6,1.083328750791539,7
-CT,133,678,678-2236,yes,yes,0,6.392764083227192,3,7.741772273009743,5.477191555385828,7,2.5002268391873907,4.607713062633139,200,6.683830980701952,4.882654730298678,7,1.0471655577875447,7
-NM,130,787,530-9580,yes,yes,500,6.581574255318266,5,4.3357430768414025,4.345566286125695,2,5.114253968112692,4.783362226184057,100,6.76525735946794,5.238838414544548,6,1.9079460767962044,7
-CO,69,677,783-4840,yes,yes,500,4.896252427113535,5,6.074532053286097,3.915651366619844,7,5.184597286518238,5.242190097699803,250,3.6019157621578897,5.129600168558804,6,4.6027203723077434,3
-OK,76,797,802-3062,no,no,0,3.8463140632055377,4,4.294656612254694,5.77525105464855,7,0.4020511100362407,0.9006715347833971,400,1.1675683577055804,5.702636049640387,8,4.471560912502033,3
-NC,2,786,744-8784,yes,no,0,3.579489242194448,3,2.652233652662598,3.273732226380017,5,0.5368817386987335,2.731500951740915,300,1.5734509810300892,5.5847860849845326,6,2.4456492212081216,6
-AL,43,657,747-2567,yes,yes,1000,2.4022389683615955,2,6.8065391888680455,7.167245410036478,5,2.3094910324273883,3.514748674657301,400,2.209377997444159,3.8790466129275685,7,8.690123520955211,3
-RI,112,827,876-4753,yes,yes,800,9.131212532708759,0,5.644675724125266,0.26037369407772193,1,7.934598732871533,8.014738146017978,150,5.002852496184813,5.346287038549413,7,2.748272877512222,7
-TX,141,848,266-7419,no,yes,600,7.2017150330920705,3,4.451383750526472,4.331803530422866,1,7.272918286342317,5.124129783243295,200,5.512983871705076,4.286740123600043,4,7.413747067765742,3
-MA,172,776,598-4515,no,no,0,6.794632564672992,1,6.787077528652862,3.509993624165098,5,4.905584659460579,7.346054046866366,250,3.735200072155561,5.210817077919051,7,5.4079216372418,4
-NC,177,786,623-7763,yes,no,0,9.658644054043641,5,4.656876612343968,6.152627782604194,3,6.381517234433743,6.874099958156406,150,6.876355794941921,5.778894111847342,7,4.1984638301704935,4
-NJ,70,787,663-1130,yes,no,0,10.965784289262023,2,6.0940709505707185,5.834725724864245,1,10.240979187068481,3.4640399032580484,100,6.000537673904415,5.447648789633283,5,7.959899530794884,4
-NM,145,787,950-4934,yes,no,0,8.976371877601213,6,2.619677052096052,5.803882849575684,5,9.074918869980811,2.4646776202463307,50,6.440822867169222,6.336271815791597,8,6.2648079029791175,5
-IL,41,737,547-8763,no,yes,200,5.957107969625302,3,0.053132564437590624,1.6798250155281698,3,1.3079404253202496,1.6486727561309986,100,1.7696511115913274,5.244892168868223,5,0.9858594955764496,5
-GA,88,716,387-7964,yes,yes,500,7.459730474675387,2,6.644820305963812,5.379439733228214,6,4.999169693612172,7.7148163503931855,250,4.681509638523888,5.488153792452158,5,6.461739773850204,3
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-UT,123,858,850-9806,yes,no,0,9.204788896847802,5,5.93409631922045,6.387371720780463,4,6.121689320260027,6.046927627692747,150,5.565883062365365,6.1210583280113315,8,5.561882787595549,3
-NH,88,787,836-3121,yes,no,0,9.423601486416649,3,9.223969730268248,6.6873025639124295,4,5.524538182948303,1.8410818588548368,250,7.661992800456291,5.094934384261171,7,0.3425893255231358,7
-TN,100,847,378-5319,no,no,0,5.919578904355639,6,0.6914120916257822,2.1463801365742503,0,5.8389558030935005,6.536209807945597,0,6.92135474365972,4.603905805585748,7,1.7922319988578923,6
-IL,107,737,733-7069,no,no,0,8.725823928357514,2,6.357097941389068,3.5049233009566283,2,7.119361990832868,3.739711280490112,150,7.761173486553481,5.29298260243391,4,2.775467824299908,6
-IA,162,736,822-3639,yes,no,0,11.120807980113778,4,9.405390214310868,8.229466510253747,6,6.277695237611932,4.607247412108128,200,5.871895814309838,5.493523384806979,7,6.324243247529799,2
-OK,3,797,465-9279,yes,no,0,3.226072633899564,7,4.325952558048408,3.0668552821931567,8,4.947294775004764,4.5075905040718025,250,4.607062477934792,6.800572906591111,5,2.575820195247028,3
-VT,40,868,229-9290,yes,yes,700,5.718752314117478,1,7.718356816024526,5.523378396541696,6,3.758591971682228,4.939802739234425,350,4.30203656979522,6.719833182700557,7,4.645541307066462,5
-FL,159,707,666-4286,no,no,0,6.69277228244984,3,7.2130828294607925,6.552872443421247,7,4.576450266775685,6.498830213986912,250,4.452986284462179,3.8184704180089466,4,6.677794544316675,3
-TX,7,848,886-9190,no,no,0,3.857348925028485,3,3.2412299743010866,2.873493636913135,0,6.527338707402508,5.1540155908671546,200,2.991191430013383,6.33303939746546,6,5.5964057574295065,7
-NV,157,788,268-4515,no,yes,600,1.9150279063047595,4,2.177133277721489,1.7362930474733782,5,2.6284213146508977,3.2415550198822656,300,1.8962501026958891,5.373644285620414,8,2.3311045228329146,4
-NE,25,786,945-1844,yes,no,0,1.715863670880054,4,3.2153288041376804,5.909844032035643,0,4.3410420831431376,3.903573926396191,250,2.6816699092843206,4.994863441455375,5,7.566921213393949,5
-CO,80,677,422-6615,no,yes,600,3.2802775549018266,4,5.297462123457343,5.247363514848578,5,3.8633055963822502,2.1203893501924918,400,6.237232336596272,3.5469443739747413,5,2.4400015684249063,6
-IL,62,737,677-2329,no,yes,300,6.813811158580742,4,4.003915101265189,3.188102471340649,1,6.95566287736953,5.71396555874413,0,6.394174356140696,5.700614447033512,2,4.497156547210678,7
-NH,69,787,687-9973,yes,yes,500,7.948574308144419,4,5.095106135045506,6.110284902770872,1,7.290510028937166,5.471594711223041,150,5.2965840109834295,4.760402182440768,4,8.043680669264866,4
-UT,4,858,216-8982,yes,yes,600,2.771617512997256,4,2.61782556962984,4.364061919991247,0,5.168656535545108,2.3705283354610067,250,5.459428571074264,4.932623700590908,6,2.116538753605105,8
-VA,180,866,174-7650,yes,yes,600,6.04354507602438,2,5.619694251269838,6.63793898124293,0,5.515196981821376,3.4619057917277387,200,4.457964030440984,6.002023919287968,6,6.823302845405817,5
-VA,42,866,884-5366,no,no,0,6.724411692000152,5,6.345117156785108,6.117244663258974,3,5.433365262740007,4.623102029382443,150,5.275629211576864,4.1194165953621225,5,5.818723769763085,6
-SC,195,836,602-2413,yes,yes,600,2.969138290149316,1,4.446816404314421,4.8905986086088005,0,4.181950303938703,2.0427663308234183,200,5.252017975629928,5.0542187344669856,4,4.466344971306103,8
-VT,84,868,987-9080,no,yes,500,7.675485872300644,6,2.7894344394286423,7.306316812294637,3,7.207641228398714,2.5867299591141832,150,8.012287337806555,6.1121073053035335,6,2.472807832250537,8
-NV,176,788,700-4297,no,yes,400,4.090563157700574,2,3.599354492459669,4.582795753572059,7,0.9149377217660976,3.3300000070016047,350,2.036185682959508,3.074718426409195,4,4.5591875307038245,4
-CT,59,678,810-1678,no,yes,200,9.154732432967977,2,7.072478735083214,7.435691937791688,1,7.13736935484826,4.4562393899040975,200,5.678287292966306,2.726307229217338,4,6.336070496957659,6
-GA,144,716,296-4445,yes,yes,600,1.0805648003546149,4,2.5267653751946133,3.2624634940296144,0,4.295788614129059,0.17244992717995533,250,6.872095152458191,4.759899926099697,5,0.1416519807570369,9
-AR,200,658,179-5529,yes,no,0,1.0519292718605593,1,2.571290799514204,4.5570319443435725,1,2.3310846676466794,3.526105481974892,300,1.3199680221483785,5.546817361295551,7,7.745121716815326,4
-NC,138,786,611-7236,yes,yes,800,2.1961688880881955,1,0.9285253568607691,1.4691754519524554,1,5.054776928673088,3.972721598969352,300,6.283129518710704,4.55748943495767,5,1.1566841752150658,8
-DC,171,686,712-7421,yes,yes,700,8.382165733177661,4,5.062830019428273,1.9314619084335736,4,7.942023512276447,7.561301159992452,250,5.170255402428291,4.643451137789358,6,4.0610463544960185,4
-NC,164,786,274-4230,no,yes,400,5.899862461058242,2,5.166334861293174,6.4043235902354025,2,7.177265730324159,2.6719159322012165,200,4.653761036401511,3.245187956963041,3,8.232078360898472,6
-NE,157,786,188-7500,no,no,0,0.4789949900209063,1,4.046502759515451,5.175266241089624,5,1.775518516081461,6.003794346405653,350,0.4629332961254571,4.452625646303881,6,8.396827993766522,3
-MN,197,777,342-4404,no,yes,400,1.5586535705769218,3,1.9350844255289397,0.2712542841644634,4,5.381923340655416,6.716024931376407,200,3.267271841777055,6.5066467532519185,4,2.873589695825815,5
-TX,23,848,628-6215,no,yes,400,4.830177185720789,4,4.732422959494404,4.175626916838383,0,3.8560388588818073,0.7650226459590428,100,8.216848609997264,6.734709324233258,7,1.6334029674239474,10
-IA,35,736,244-2122,yes,yes,400,5.347593082006302,7,4.463375412352553,3.6527224354711056,5,6.618218624537652,4.686105997703211,250,4.9970505429216034,4.957040363895838,6,2.0404419567842487,6
-ID,80,736,677-6994,no,yes,100,8.826944681964797,1,9.786987351306504,8.122784483705301,4,3.926011799124254,1.380919032933955,350,8.11169550795137,4.935459669687884,8,0.7871212931857094,9
-SC,94,836,954-6014,yes,yes,700,4.698086828596802,2,3.902915529871376,2.7366917887774926,0,5.958945170406933,4.07411547448093,250,5.730594030337392,6.4819336305172595,5,3.169644837373215,7
-OR,91,798,927-1501,yes,no,0,10.366983488745824,4,4.953109640517563,8.083995483706586,2,7.994641819885159,2.2666311692341434,150,7.551925797838805,4.617901242360474,8,4.842568612390807,5
-TN,152,847,484-5604,no,yes,100,12.599973012340865,4,8.048072293325577,5.542837607550966,3,8.530171928743584,4.328727229087269,50,7.033665573283205,7.493363846566637,7,4.162273023725821,3
-AZ,7,659,287-7061,no,yes,300,9.281221383216794,2,6.361252318784878,6.627956291933093,0,6.987057223191471,4.2219677239785804,200,5.923434236250798,4.648993032911681,6,5.774829761680538,5
-NC,87,786,763-5872,yes,no,0,6.095043022291587,6,5.357141624600718,7.297444533035785,3,4.833353301821862,4.895886314345288,150,5.37417698946104,4.9020361033747895,5,5.776984937518371,6
-NV,10,788,266-3230,no,yes,400,0.1304592059237759,5,4.188240824611149,4.711106841804855,5,2.668128915216784,2.199680662775983,250,3.4197199044283706,5.993342779321468,4,5.168537663182672,4
-FL,151,707,591-7793,yes,no,0,8.827182871407903,5,4.201004723129161,3.2457684174129464,1,6.441799615887949,4.477947132748869,50,7.8802318881755395,5.320311966343071,8,0.0968947021494566,6
-OH,197,797,303-2675,yes,no,0,4.341854632283545,5,4.92438939606739,5.594001448934944,5,4.489117709850573,3.2749548336673087,350,6.292164802537434,5.609530008471872,5,1.7744410682760807,6
-RI,73,827,906-3967,no,yes,400,4.7612545138397095,2,5.638897589846508,2.3034571924815936,5,4.086954201011588,4.875478642178929,150,5.563751976965066,6.328508170223391,5,2.520442129548965,5
-VA,152,866,232-3270,no,yes,200,7.195300497099818,2,8.013647321581715,5.2646809623987085,5,5.400225888057028,4.113217903013926,200,5.410838355077637,4.761339856491924,4,4.097177066140782,6
-OR,132,798,919-6754,no,yes,400,5.715645761147255,2,7.756784804366692,9.326906611828589,5,3.0212206213041357,4.259821836699111,300,4.480257962935943,6.741610545818165,5,8.072928115045984,3
-ND,165,786,369-8082,yes,no,0,3.232974212445005,2,0.8783460169766268,0.7978177049747659,0,7.039890790216713,6.923319525378702,150,3.8836797342761074,5.744389473668574,6,2.469890584093452,6
-OH,140,797,454-7598,yes,no,0,8.783615008474,4,4.3773245609864135,7.144719980420513,2,7.112109287028604,3.2547780571539637,150,5.953548130106067,4.231996657132538,8,6.1127831292963615,4
-WV,170,878,781-6687,no,yes,500,2.6266238350169298,2,2.0645358740020168,2.8107680058400684,2,1.6602195724990034,4.099121936825108,200,1.9791053775580043,2.482121289349561,3,5.587335279890878,6
-NE,102,786,116-6761,yes,no,0,8.346912618323058,2,5.087976265778899,6.0596598768496195,0,6.5640824971159,4.607810510700363,150,6.078609281062338,3.799500380790284,6,5.418344129487431,4
-OK,116,797,395-6130,yes,yes,100,6.297969502871824,4,6.079163955161858,6.055155451807213,5,3.7341029075686416,4.113883098440575,250,7.515973771624753,6.090657652351028,6,0.6345750099227789,8
-MS,167,778,236-3094,yes,no,0,2.9789894687136,4,5.731904977847518,5.844903245900817,7,3.26120799230297,4.342498436817756,300,4.9199356278345645,5.581879596751525,3,5.1045006341899075,5
-AL,196,657,593-5848,yes,no,0,5.616895231029416,6,7.467302085009898,8.337386946145768,5,2.6710638895520837,0.5020626959456829,350,9.04554294301512,4.064118529167952,6,3.132723743989024,11
-WA,52,876,356-4139,yes,yes,500,2.7639786173951517,4,5.575534220008504,6.391432695414294,5,3.2187605461427253,3.829524375699015,350,3.288055897100795,4.066766571353851,6,4.990677816508,5
-AR,175,658,678-4979,yes,yes,200,7.936984043105662,2,7.849364686318473,5.641534823428402,6,4.57427374609544,4.94620814786608,200,5.518828991889169,6.473679116608832,7,3.1692556864081203,4
-FL,118,707,351-5228,no,yes,400,1.3348849067431776,4,5.297871959049401,4.9329702330915115,7,2.6970954625333383,3.474562071552918,250,3.2733541504931,6.235270910473639,5,5.423735019155748,4
-NV,193,788,194-5432,no,no,0,5.190992621312807,1,4.946664627006598,4.122644719803498,1,6.485795720706816,2.335126098738893,150,4.758412162138701,4.2574797062545855,5,5.832135414339645,6
-DC,104,686,628-4107,no,no,0,9.506136107459435,3,5.985654973927091,6.387352194406804,1,6.870601799059812,3.8256773367432415,150,6.560404980890059,5.273613085832548,7,4.682540390165767,4
-FL,159,707,129-6743,no,yes,900,5.057592575657269,4,4.584806350578032,3.8526787025863216,2,6.233146252893842,5.600183349740225,350,3.8681486120860247,4.900859168886579,7,2.961803793149547,8
-AL,79,657,250-8547,yes,yes,600,13.71763561346622,4,4.719056698497568,7.218315061806708,5,11.951861247865295,3.830993181110163,0,6.502921886950114,3.5479293708439186,7,10.66910976865172,2
-ME,77,776,205-2626,no,yes,200,9.386270467548027,7,5.528522476650959,6.423802029362488,2,7.331352060797474,3.4488277805606278,100,8.18360025864871,4.376077293432246,5,2.61528865685664,7
-NV,130,788,986-1478,no,no,0,0.10727292449626448,4,3.3516181910726535,4.097388906981567,4,2.922989805537335,4.576937810950762,300,1.392439421146785,5.160003543526091,7,5.5592135099712765,4
-NM,63,787,293-3185,yes,no,0,0.3710130089529287,3,2.5872551920760483,2.434969831937777,3,4.058557441208921,5.810123946362351,250,1.9552304311882105,6.283837978544859,5,6.051029353142053,5
-GA,191,716,237-4716,yes,no,0,1.824616401050764,3,2.1995867968072105,2.641456044903248,1,4.951448827592375,4.296861790914432,250,3.9708072108118895,3.9557929029262664,5,3.98929817749568,6
-CO,65,677,157-9010,no,no,0,13.9829995672029,4,6.5869972927532885,6.799925321870452,0,10.814622744425028,3.7734411262220866,50,7.364881270777867,5.254790126891802,6,7.5957606454474815,2
-WY,17,878,870-3659,no,no,0,9.77581497587324,3,8.378849641568411,8.462488229962641,3,6.4581996345739725,3.6365363633233567,250,5.013185607927194,7.995808233470321,8,6.016563626076598,4
-IL,159,737,732-8646,yes,yes,200,7.021202523757397,5,6.340835125436497,6.983686646080811,5,5.117872174662205,4.561158932412691,250,6.421251944896772,4.446251786505126,4,3.2897870724741507,6
-MD,63,776,689-5699,no,no,0,7.429557622475037,5,5.6415966760961345,4.058160239732049,5,5.2611025498713335,5.489543359307032,100,6.322122014219383,3.658820901869437,6,2.556752908503912,5
-RI,68,827,427-9024,no,yes,100,2.732299833645845,6,2.0776116039374486,2.9801334187249813,6,2.278227072593017,2.1720033953152127,150,3.1862511997898606,3.8006528954447343,2,4.338596824943082,4
-GA,94,716,864-7973,yes,no,0,5.841407286832888,4,4.855350994109269,4.2203484063384815,2,6.119324706285168,5.52389952052609,350,3.9382715126408274,6.43676537605435,8,3.6045678968285344,6
-CA,129,676,615-1321,yes,no,0,6.684838004541955,0,5.565719710304125,5.199118382576803,1,5.644795876708013,6.3168228284730645,350,5.396955642973137,5.780663097815805,5,5.493268212897494,6
-HI,163,727,124-6066,yes,no,0,0.4672612196209958,6,3.098440993762602,3.7230541443384704,5,3.529978813750617,3.56715238523914,350,4.444655188055192,6.238520922599047,5,1.1671224950009982,7
-VT,56,868,784-3061,no,yes,400,6.900851194117602,2,6.392569729644908,7.206169147583297,0,5.8821312584741365,3.0703283587766688,250,5.198306616378867,4.990579029864615,5,5.949639706759082,6
-KS,186,758,667-5743,yes,no,0,4.8983207846158345,5,2.6430920540977865,2.9621872562358127,2,7.485918284448201,4.100071864251594,350,3.3213340571556587,4.664768142799823,11,1.0488181208468117,9
-NJ,177,787,760-4854,no,yes,400,11.031323017243338,2,8.549723556665626,8.713140561060808,3,5.6407927039607575,6.9411527116276135,250,6.595850826295399,5.154735283886264,5,5.297827237442833,7
-WV,46,878,112-3348,no,yes,200,9.565010559767208,1,7.334812617162474,5.493547325318984,0,8.66254871762,2.6492636669018443,150,5.642172556218701,6.7786206873915,5,6.8590658283019685,5
-WA,103,876,146-3205,no,yes,300,11.691051710107367,3,6.996242350144009,8.177299900425304,0,8.367520521825012,2.9325929410286338,250,7.193118102660406,5.060966840630781,8,4.836332246257202,4
-NM,58,787,702-7722,no,yes,700,6.822177124966105,5,2.0626968093218427,1.1631417519017884,1,6.918870601028996,7.082671199117839,0,5.563803246462939,4.9772392592759855,6,4.739551009577418,3
-CO,55,677,449-9940,yes,no,0,7.7234341032046565,2,8.83916335317785,4.239452256295221,4,5.975940548174338,2.9582256580993285,100,5.707965271107696,5.666692092413705,4,4.284191245392534,6
-OR,192,798,174-3586,yes,yes,500,2.7324481087447583,6,5.00017337164226,7.438365887428817,7,0.8553424375599334,0.6850870501098258,350,1.1378507110690859,6.3933379371746035,4,8.930691058205953,2
-CT,130,678,273-3875,no,no,0,6.263541272264048,3,5.299045804641565,4.234757453793969,1,5.88501797894887,4.451511489755061,250,4.974529974859223,4.0754304158296515,8,3.1400946332404955,6
-UT,74,858,405-5901,yes,yes,500,5.271333888452502,3,5.5723004115135035,7.1466316259514455,2,4.2364222661491855,2.4666979508704667,300,6.151041976726402,4.2682666134090494,6,3.7673345748939138,6
-MA,109,776,452-1196,no,no,0,5.722710310057828,4,3.698464102910373,6.290842159327402,1,5.763107456743741,5.709630917492987,300,5.5901038176767335,4.951822053554821,5,4.682045815222335,6
-NV,92,788,420-4881,no,yes,300,0.40568953428743537,5,3.717493167765909,4.211380077559438,4,2.404338205290874,0.43251889741365535,250,5.552003088624078,3.1369450203091693,4,1.794029037012976,6
-MD,145,776,380-3128,yes,no,0,5.412983516279031,4,4.8379974171692055,5.451053001131731,2,4.700894754268948,4.345574208183886,150,5.287488537158246,4.436816058258618,6,4.774288690573567,5
-MO,167,777,618-9187,no,yes,400,3.171685639485265,4,3.0297786112912353,4.0834472066251095,6,0.9391117612258216,3.0233386124332435,300,2.1158912835212265,3.7448878708583018,3,6.076393470911462,4
-CT,113,678,859-5777,no,no,0,6.273216741061294,3,9.159228878564157,7.1467738432465175,10,3.2511322015271467,6.726231203273769,350,2.7840851617004465,3.430454557482176,7,7.045075942606204,3
-AR,117,658,812-3729,no,yes,400,4.598860801783222,2,5.342785958275528,7.808073313775782,1,3.934753750204672,3.2365918773049,300,4.640571779368363,4.166398742388497,6,4.862287758810068,7
-NC,26,786,970-2585,yes,yes,500,4.172668179784196,5,1.3905258783652754,0.29650550212852345,7,2.1954185045796932,4.028369710442127,250,0.8441098984081297,5.562616363473481,4,5.644787778149768,2
-MO,152,777,467-3302,yes,no,0,7.008142953027807,3,4.351193400925904,7.152580634152706,1,7.0914926961292695,3.271377600499957,250,6.279191492663137,6.806503765089451,4,5.9593263686504905,7
-RI,186,827,254-8478,yes,no,0,3.631068047087211,4,1.422100001826744,1.2110506495075346,7,1.8058934577397319,4.989393630831238,300,1.4617057421009747,5.509682342847902,5,2.556153326664925,5
-HI,136,727,317-6301,no,yes,300,3.1311654779668063,4,3.6386908126430337,0.22017700044269706,4,4.9282407070144885,3.419854441605791,200,6.098661590642066,4.38951071503052,6,1.766743524153371,7
-CA,140,676,534-9894,no,no,0,6.383445442231955,4,2.7821597386872106,3.6098403734599938,0,7.258635923916758,4.447242265282687,50,6.148957942803923,4.7356943987944415,4,5.621676268021767,5
-TN,137,847,774-5453,no,yes,900,2.2767698896689503,3,3.1802850442310517,6.750955593647605,2,1.4573375135052666,1.5134886580911942,400,1.7072179918131312,4.661362517686082,6,7.296964844777977,4
-ID,144,736,680-9068,no,yes,700,9.703536098810533,5,8.780673128863787,6.503410214627267,4,6.580203411059498,2.533738669998568,350,7.318028554421966,4.718502693413456,8,1.2438850595304942,7
-KY,129,758,134-5749,yes,yes,600,2.6611212494588776,8,3.7355628726198797,5.314028238043052,4,5.8587509336400485,2.7635875347528014,350,4.7604921115744885,3.651270229811471,4,4.500727254286634,5
-HI,110,727,355-6943,no,no,0,1.8696685660830927,6,2.1929388963268583,2.112093266516951,7,2.349315423299716,3.7905547134880457,250,2.6326208324202742,6.912081932000262,6,1.6648670247707793,4
-MT,124,778,709-9943,yes,no,0,8.819497831726572,2,6.5604649806923225,4.197250326236322,3,6.87958487098287,4.707253629026954,100,6.230344838606612,2.998977294619042,5,3.9070887472873284,4
-RI,10,827,891-4830,no,yes,500,8.06741957808935,5,6.9490503407487,6.579422818180678,2,6.143168785119733,2.397847230533725,150,6.997368430120798,4.325167486391366,5,4.263192823642879,6
-WV,87,878,894-9465,yes,no,0,0.572250497760205,5,3.9169390086885674,2.583895522887061,3,3.8032930068098016,1.821972234600064,200,2.7850538150567616,5.2648619552778255,7,3.9319491975418193,5
-FL,65,707,274-8884,yes,yes,500,2.2375758360847504,7,0.5996381040498733,1.4050580786902884,2,4.200446903348836,2.826430290311802,250,2.6078408426656114,4.825124929667343,5,1.979207016156352,6
-WY,1,878,901-7726,no,yes,400,12.0067267675772,4,5.440124156859953,7.041730460671651,0,8.901472556419643,6.309850450745838,100,5.899471974029981,5.6732277928405015,7,7.897628384394117,2
-SC,179,836,914-4458,yes,no,0,1.4572370056803474,5,3.67985262574468,5.145535691514828,5,3.3400379670643594,3.1760428364131643,350,4.845912233205742,4.952452728972454,5,3.2777921622832435,5
-TN,123,847,218-5089,no,no,0,4.313863441741272,3,2.7732730126464373,2.4047132418317734,0,5.95064804158966,4.688278007168491,100,6.365832234861287,6.773199501559413,2,3.3396712848157524,7
-IL,140,737,615-3906,no,yes,400,1.2308651660981291,2,4.666722329369317,3.7889432996136216,5,2.271662402039268,2.8403794467857484,250,4.393517980936518,4.930101219952112,6,2.8311265832841213,5
-CA,104,676,380-3187,no,no,0,3.3222737479269933,0,3.2074942223654315,0.4211701898739193,8,0.034801024173310324,5.6260808270645635,250,0.8341205251127448,5.4426854122342405,6,4.158311960419933,3
-HI,66,727,749-6534,no,yes,0,13.191303851738931,4,9.736949127428877,6.543197724507009,4,8.338191061243057,2.8209571100669057,100,8.247421711311489,3.0442531320268955,6,3.0383250215934465,5
-IA,119,736,569-9985,no,no,0,14.176048367943707,6,7.640563880574432,6.777258489337981,4,9.034882578352724,5.0654424495449515,100,8.11178521390464,5.79400418595947,8,3.9156228100614103,3
-AZ,3,659,727-4620,yes,yes,700,2.2755385203584972,3,4.531587591381927,7.435995922408245,4,0.7814696471783806,1.6309075262590915,400,1.1616144428718864,4.245440979968617,5,8.133946735244537,4
-NV,157,788,550-5036,yes,no,0,1.049781572426773,6,3.87401884373188,6.3392805160971735,4,3.406689398881777,1.1071503763196822,300,4.5610084999286284,5.036202973499144,5,3.3130540593746067,6
-AZ,198,659,258-7033,yes,yes,600,5.746533800873191,4,3.6515431980368103,5.205717654382116,2,5.594168349131265,5.755857586862133,150,4.7215366672351315,5.536482667984,6,6.3977391087975715,4
-TX,40,848,267-9489,yes,no,0,5.801733394443964,2,4.798957348580942,6.400123967432478,2,5.152990558646353,2.259268337005336,150,6.416342551541599,4.3402509069291915,5,4.227652555686471,9
-MN,74,777,338-8426,no,no,0,4.614903934941859,3,7.264875429343574,3.597036855517919,9,3.6512584958720335,5.453015513265768,350,3.141743668928893,4.782340494758159,9,1.9381788147529888,4
-GA,196,716,331-4458,yes,yes,100,14.134989022205193,0,12.731935950456764,8.440455332768916,5,8.27687128733305,3.326772911020544,250,5.09746744306959,5.1071245360501285,8,7.732297116071877,2
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-NJ,24,787,965-8092,no,no,0,0.9743424344359256,3,3.8866082361721266,2.5223866568070314,2,2.9898733874238963,2.0621067236408117,250,0.7425722867048474,5.601252519318853,8,5.3026945686509706,5
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-MS,158,778,250-3562,no,yes,400,8.77009911882834,6,5.424408440231942,6.012028293504876,4,6.429236538533798,4.992556065064294,150,7.036300194162841,3.9988929301010097,6,4.066594973719513,4
-MD,182,776,517-1226,yes,yes,500,11.541150291388067,2,9.230613320255813,6.9941059748655094,1,8.757799270676559,2.9160502041582235,150,4.121844597456286,6.388595221339656,8,10.127506825469622,2
-MO,122,777,107-6947,no,yes,500,2.892991937751835,3,4.0739637612448165,3.255493167121158,4,4.1772320976693935,4.5940158759749785,350,4.255656481766408,5.942732482405673,8,0.6929127333085914,6
-NC,191,786,725-2142,yes,no,0,4.685854936245995,4,3.3027665581820376,5.09060459395133,1,5.2875415105225025,5.371066703918491,300,5.7540835962587735,5.951409819987563,5,2.2740723629541373,8
-VA,115,866,579-3789,no,yes,400,6.773657110614392,3,7.226323753304719,7.336347508397106,3,4.895655888347706,3.8465550465583016,250,5.483865348697786,5.145641742543597,5,5.529357182409148,6
-IA,172,736,240-4528,yes,no,0,0.9491549532850518,6,3.4328242988626627,6.254564756290801,3,3.292560984505826,3.178708800230989,350,3.3370787016666066,4.499638121470884,6,3.963642544320369,6
-OH,157,797,602-3569,no,no,0,5.3375419925785215,2,3.787138256808687,4.940005353589499,2,5.400125485815158,7.103678884522046,300,4.630216471320608,5.576885201488135,6,3.5525615773937997,7
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-NM,191,787,427-8374,yes,no,0,8.297428365800696,3,6.2196789040467895,4.700150691031358,1,6.233351291611365,4.269187516037016,100,6.743853796367706,6.723794027832987,5,2.224118283300301,7
-NE,153,786,541-6479,no,no,0,2.9616130041413387,1,3.091759868225278,4.538215241911006,2,4.428963739121634,3.1997149143191392,350,4.190674518252903,4.027044556158215,9,2.2962132495710037,9
-VA,112,866,459-2372,yes,yes,100,3.0218767242916886,5,4.029602534127843,5.994995673427155,11,0.4066648635691328,5.7462100590496075,350,0.6299383545564297,4.939962555171863,4,6.8468139996358985,1
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-MS,2,778,710-4973,yes,no,0,4.426664981558336,4,3.875071937152282,5.508612030242245,2,4.777408412192462,5.116474962563624,200,5.534964600686785,6.387702094638609,4,3.5140418767898125,8
-NH,47,787,252-3399,yes,no,0,5.266311484208654,2,6.276647712283976,7.0748614684173665,1,4.018909031263242,1.9919158667872328,300,4.804978629798836,5.117304493730191,8,3.7460214817111495,6
-OR,27,798,682-9287,no,yes,300,6.379625653822983,3,5.822951466613243,5.692116290449965,3,5.07032312612301,3.78401658376842,200,6.041780153688955,3.5531774391985658,5,3.5938698851300077,6
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-MT,89,778,750-4293,yes,yes,700,2.324903723154156,2,1.4467588768743704,1.6566244167088815,2,6.785049378896617,2.340019445723084,150,5.504763062645309,6.619266567928253,5,1.1148818863795356,8
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-MT,176,778,432-8133,yes,no,0,3.5678226609990347,5,1.4872833511411034,2.8898228214874684,5,1.7975831305872054,3.610459103380865,200,2.422805729505124,5.163535989095361,1,5.976902402107853,4
-PA,33,806,291-2228,no,no,0,9.622645930122626,4,5.8964469020045005,5.990395706176216,1,7.813885177924911,4.737491920304483,100,6.9932186130883025,5.735097078352419,4,5.818775332951268,5
-NH,7,787,636-9136,yes,no,0,3.9744939247741966,7,3.549142878944834,8.623187377387591,1,5.62976650475156,4.038629661889377,350,3.874372420055725,5.951933122637994,5,6.505609455854237,7
-HI,7,727,642-3590,no,yes,700,2.5947681913599334,4,2.552682811899245,5.299280178781523,1,1.6979273599777642,0.8745922582249488,300,1.6051685569764227,5.308269824768198,7,5.4435985121828665,5
-OH,173,797,652-7632,yes,no,0,9.588305029690538,5,2.354345234559038,4.521569812705041,0,8.936688318576898,8.071839969618683,0,5.027765877463394,4.283738223988135,5,9.556965368920435,1
-OH,95,797,880-5403,no,no,0,8.560971012123831,5,6.032286608331416,5.653719970564955,1,8.611295424170915,5.188212235969907,100,3.2217972406793587,4.758578010302695,5,11.269284437895275,2
-CA,81,676,379-7746,no,no,0,1.5184894928932686,0,3.9511346237028317,2.0994645581572144,4,2.6602382776079305,6.303479694573933,200,2.7665402879130405,4.843324881197895,5,6.5260325339910255,3
-VT,142,868,924-5172,no,yes,700,1.179775338984023,6,1.809415624698368,7.073949710262998,1,4.321823351354934,2.724467951339192,250,4.1272385119668185,5.156323184255919,4,5.838034672521255,8
-ND,80,786,932-6464,yes,yes,100,12.152439949220993,3,10.25231764758414,9.610324780733624,6,7.43945356363908,4.240828763144608,300,6.1336754302649865,6.033520938735515,6,7.164255554948996,3
-CO,104,677,248-9267,yes,no,0,0.6373336145134321,5,2.4108172869554227,4.400423272835922,4,3.424519771889148,4.1192980212105015,250,5.383537015177421,3.6446640682511697,2,3.7334299190878224,6
-DC,128,686,890-3691,yes,yes,200,9.164122517382244,4,6.1208683574430784,3.827947563216576,1,7.867116801198929,3.5036610176700043,150,8.379090556845908,4.766912129453823,3,2.1785749780579198,7
-DE,112,686,496-8187,yes,no,0,1.1590702516641622,6,2.87175536792889,4.198381986751538,3,4.275058096823917,2.4188377250530686,250,4.421563570964684,5.207914942838276,5,2.4435548337103428,6
-OR,50,798,805-3673,yes,no,0,9.081007492930349,1,6.947949633808648,2.7316887045986213,7,6.013378459857964,10.183378466554196,250,4.75248981543628,5.193110086561268,7,2.9708841485156814,5
-VA,178,866,778-4823,no,yes,200,6.023033300526644,5,4.835223123862667,5.382912269447713,0,4.908057238390615,1.0419511026980954,150,8.624915465821838,5.110078386799748,6,1.983149124510434,10
-MO,76,777,715-4000,yes,yes,200,2.3947477628176737,5,3.3480983368355,1.7808201004655668,10,1.209721100738972,3.9662633076206113,350,3.2717098949439567,2.6806056662444417,5,0.7751307711382047,4
-MN,64,777,779-5365,yes,yes,200,9.847548068282515,2,10.463559350661775,7.689864080753567,5,6.06424271771319,3.1270694268689048,250,5.439265010255654,5.372191131660175,6,5.5424100079326335,5
-MI,193,777,957-8421,no,yes,100,4.187748856441875,2,4.469455949061834,4.6264517275175665,1,3.1412897732762652,3.2097432006385693,200,8.035884185071126,5.536100356333772,4,2.1222559588126364,11
-ID,54,736,405-7418,no,no,0,1.1432688128232096,4,5.377913530256125,3.712133214705661,7,2.4242023696537203,4.342209378230688,350,2.515585820314041,4.392060259986233,8,1.5162530187580496,6
-FL,124,707,626-5182,yes,yes,800,3.032723006913415,3,0.7844917974358125,1.2010062694640178,1,7.344125782523567,4.987546565055959,250,5.056683295642128,6.214515879899068,4,3.354189669630326,7
-FL,88,707,157-8772,yes,yes,600,5.67348556922916,4,3.098920823385964,5.476562327630655,0,5.363556721836455,4.54033663818114,150,5.685640221480318,6.818471301876308,7,3.9576100335821134,5
-MN,167,777,765-1370,yes,yes,300,10.504230658184095,5,4.438106792065474,7.293529187434863,0,7.374828473741427,4.791436843590329,100,8.255910913344135,7.231752992662859,6,3.0657535961186166,6
-CO,67,677,311-1200,no,no,0,5.611091286883425,2,5.263328140832127,6.4134612882442,1,5.072576821328219,0.3979188611483835,250,9.535003381767982,5.1451427555800215,4,2.0015935742612294,12
-NC,198,786,550-7124,no,no,0,7.031440916088082,6,4.329499831138826,8.981313911585444,1,4.315619941226786,4.736539791541329,250,7.820476609303542,4.348453413971458,6,2.1432762298453034,8
-NV,29,788,993-1189,no,yes,300,2.1876102920774514,5,3.037120628442313,2.4125466528377792,7,2.0287954823949765,2.3539672042836277,250,3.2109509265975777,4.412605387528441,3,4.296162785073824,3
-OR,154,798,389-1775,no,no,0,7.078260890459642,3,4.6595848509084385,4.548823539296709,1,8.160254663519023,3.4144127318034334,100,4.086487246076986,7.257123768393942,6,8.65490008591334,3
-NC,72,786,845-9231,no,yes,200,10.631853343138033,4,8.424256688239229,5.405912499941246,6,7.088829768990292,5.102660582961611,100,6.1861237428604925,5.097367560304099,5,5.263192195139653,3
-MN,196,777,916-7398,no,no,0,1.824649245992316,9,3.7553704545050417,6.944281854833427,6,4.820670306967119,3.5417917794172724,350,3.837488575101544,5.024090960429564,4,4.977102089013565,5
-NH,167,787,711-7249,no,yes,200,9.849221986633152,0,7.727021569824742,11.039089371984256,0,6.819496660275344,2.174426072081121,400,5.774555361997299,3.9127877561556175,7,7.646985002120651,4
-CA,38,676,912-4327,yes,no,0,10.670612546831926,6,4.79615573956824,6.99743757643436,2,7.538634137720625,6.067825914432044,100,6.897542724155265,6.331799962243433,7,5.44289286201583,3
-OR,117,798,918-8613,no,no,0,0.7838052509480011,1,5.662700445745607,1.1579923815881443,8,1.549767227680206,3.8677042508548953,200,4.268525598006944,7.177816561606058,4,2.3155973932007203,3
-RI,79,827,787-6132,yes,yes,300,8.6103768333714,2,5.930347473345058,7.401084911771696,3,6.360736460907577,0.8163635575717665,150,7.2990546260667015,4.934311267829277,8,1.8563242284288872,9
-LA,147,766,606-7046,yes,no,0,0.021099130797235688,3,4.148448038014363,6.388171774943722,4,2.53270796206849,4.979591598780512,300,1.0395954714100315,4.018081671181003,4,10.096807191902801,3
-NJ,83,787,388-7101,no,no,0,5.230313019989069,5,6.567040245151504,7.316766233437558,1,4.437596336072214,0.9577308973186298,200,6.820983171791577,5.781375603547738,4,1.5247152643560042,11
-NM,48,787,303-6425,yes,yes,300,1.8211866810152693,6,5.673078069911437,7.1209975813721975,8,2.687780134122524,3.3693725338235354,300,2.734660160833034,6.119149188217706,6,6.202445141874706,3
-LA,68,766,657-4355,no,yes,100,1.4811491130163974,5,7.440935674264578,9.736183893944908,13,1.6191007859026323,2.116283610636777,400,3.3987096022630814,3.818872884238256,2,6.934354770520227,2
-NH,111,787,718-5762,no,no,0,2.962124288491413,2,1.7434397989452486,4.3793406011270415,3,1.7226872156421944,3.741108352274336,200,1.1832772077169622,6.006137323455574,3,9.748200170723496,2
-KY,182,758,511-6793,no,yes,0,13.019325152874934,3,10.191694922860757,6.214163620473848,4,7.7283483099361625,2.175615067529848,150,8.486732175255497,4.688646475028292,7,2.097247253570597,5
-KY,51,758,730-8650,yes,no,0,1.4723701148574093,4,4.2104849919076495,3.791764643150042,2,4.188692615761487,1.4976147916979765,500,3.667246269746323,5.229552058467048,10,0.2386173087410306,8
-OK,6,797,484-5565,yes,yes,700,3.944981624375133,6,2.8797367798833564,2.831342098908145,7,2.0006125195593416,1.6794863558378528,450,1.2814508911033209,4.429051699682983,7,3.025465910197882,4
-VA,166,866,401-2079,no,no,0,10.25022004195799,2,10.253746572817047,6.6784469151574966,5,7.023478685578484,3.0618930430818154,250,5.977202180414145,5.348026731611487,5,5.589358484544129,4
-OH,128,797,845-1753,yes,yes,600,6.920730927904032,1,7.287899530880189,5.71862549972618,4,4.9325972511748875,6.241621634965288,200,4.195686229303377,5.473878472049822,5,6.991304234883066,5
-NV,7,788,179-4577,no,no,0,8.789663081956169,4,7.809725712069443,8.082056855051864,3,6.3096474884284985,3.133426689160669,250,6.505682877443336,6.49135766057818,5,4.63166587787144,6
-TN,117,847,576-1399,yes,yes,400,2.2025851894534005,2,5.880655949901241,2.746979383085919,11,2.7888417800719,7.8578955892803934,250,2.197168878609689,4.393573112661507,3,7.383546904802188,1
-AK,24,657,549-8963,yes,no,0,6.776014016812552,2,6.073276257479957,4.505653773783657,2,6.187118510754414,4.778367734775519,150,5.578148070031429,3.933617879489665,3,5.260880661148173,6
-MS,48,778,868-7769,no,yes,500,2.5212854833114857,5,0.6689871360563,3.6501197971396833,2,2.8609492593865733,2.2913860860392594,350,3.9837679292406833,4.823343163989403,3,4.024359794858284,5
-DE,73,686,418-8027,no,no,0,1.614325648430193,5,2.5934065512259057,5.736865858000349,3,5.096617882632809,0.7341793775927323,300,3.8171700240740263,3.9909208896564317,8,3.922394098691673,9
-AR,121,658,839-4138,yes,yes,400,7.521307946498242,5,6.7957676129937985,4.6925248347784265,4,6.0587801477906345,4.23085898527518,150,5.893546185156003,5.439294899850979,5,4.228896222898165,5
-ID,16,736,611-9925,yes,no,0,2.2135160885634257,2,2.733526147438801,0.320892447707557,4,2.2868628912059106,3.2809311077727403,200,1.8051770844976625,4.9244930961673985,5,4.649861923498211,3
-WY,93,878,192-4621,no,yes,500,2.235036081697232,3,3.057618393803451,0.4565916035799855,5,4.889728474196049,7.1119882217257215,200,3.21714897146958,4.358780713534993,5,3.829598933400173,4
-WV,159,878,558-1303,no,yes,700,1.6202489584286384,1,3.4702764738652907,2.7512777862783446,0,3.9636292159228654,3.9266559257466582,350,3.8557630763267983,3.66220816327008,7,1.7227844927505218,8
-IA,128,736,316-3284,no,yes,200,4.517977309935444,5,5.261984679926578,6.923121636891492,1,3.4842596079006523,1.9796150284494491,200,7.035393692875048,5.09127559464316,5,0.022283744388992943,10
-KS,48,758,554-9513,yes,yes,500,7.656744517926838,6,4.891022445695383,5.099859137300813,0,7.144815263617352,3.0521341294192883,250,7.636510787814815,5.204195156369686,6,0.1474556469754793,9
-MI,37,777,350-3855,yes,yes,300,9.143792671837064,2,7.476668129792864,8.212959316107389,3,5.51877458297305,4.480739902478782,250,5.865501697036484,3.988288999986063,7,5.355892948888877,5
-PA,146,806,786-1113,yes,no,0,7.650438941566676,1,7.068837308157412,3.574846282612247,4,4.556680038148652,4.1906057641650865,150,6.884339038322282,5.113636745713591,7,1.3281873141045804,6
-WA,140,876,103-7376,yes,yes,300,7.21614687667142,2,4.657540952433833,6.258964937510678,1,8.070239296239308,3.703940804221341,200,5.936094135831136,4.2858842214830055,2,7.845812405894643,6
-AR,168,658,713-6512,yes,yes,500,2.6662011343711414,1,4.537997465106738,3.108439565905265,3,2.7837782974923497,5.539324647785474,250,4.5571154735448935,7.088358851890714,5,2.563284930433244,7
-MI,42,777,312-5838,yes,no,0,7.593555131181293,1,6.784135134243913,6.335123515305328,0,6.861959257311924,2.3355189330557504,250,5.8524353089855055,6.181259320970286,4,5.540069757496417,6
-GA,40,716,350-5720,no,yes,300,3.054276026103313,3,5.097610295688306,6.923417050056133,6,2.6738674118646646,4.722746954567038,200,5.5933625796197015,6.361046114906262,1,6.860044027997347,4
-UT,173,858,207-7585,no,yes,400,1.2892791260799137,2,5.43118359941227,5.216146624382491,5,1.3369059354360386,3.919630026893707,350,5.290805948180084,5.452973877329684,4,2.002046530433029,8
-NM,8,787,368-9740,no,no,0,0.1256128668940688,0,6.044203367457689,6.568858388726492,3,0.5542888789363207,2.063363507882812,500,3.7473609074003464,4.539909225346811,6,2.323401976262113,8
-DC,115,686,736-6866,no,no,0,15.327136057821493,5,8.783771995777974,10.403459137049298,0,11.403334475632589,4.100493725173971,150,5.4582872564021345,5.892258892915943,7,11.5658680415206,1
-WY,166,878,669-4904,yes,no,0,6.677212478752347,6,4.165871184000663,5.001349198318246,3,4.704621770687418,5.712006436636948,100,4.641449527085512,4.863581886247758,10,4.845699072686599,3
-MI,120,777,922-8071,yes,no,0,8.752430794284132,4,5.460188461649857,8.179133162842254,1,7.4485624287487795,5.843048121062603,200,4.356402649997818,4.5269849198830965,5,10.023586578556392,3
-ME,62,776,879-9906,no,no,0,6.267422262903551,1,8.449806632152892,6.955139056582552,1,7.07926874651389,0.6653796552920871,300,6.0271177317801685,6.067705729807902,0,6.099277974769023,9
-NY,23,788,138-8920,no,yes,200,8.133825708925285,4,6.694465224105805,4.498105338664447,4,7.2989760687782494,4.099433081911252,150,7.0272665889513135,5.6803817501409135,2,4.144689530883594,6
-MI,32,777,559-7087,no,no,0,3.4147156596366326,2,5.032783208233347,7.490226940432567,4,2.495244516271279,5.082978180028384,400,4.78488265162428,4.95159780877618,6,4.572852140044035,6
-OK,168,797,526-6287,no,yes,500,1.5451084282606322,3,3.361591855292718,4.2572303939232725,6,1.6300198413498084,2.592074187829277,400,3.2142789203010316,3.6170098440652194,6,2.6567947425982754,5
-OH,151,797,883-3238,yes,no,0,4.9557383780102215,3,4.473610174894165,3.5846887822632603,1,4.888911585476809,3.538917900123692,100,6.230123721503965,4.6159233868616765,5,2.7088647990818746,7
-NH,193,787,504-9321,no,no,0,2.029574051263284,6,1.907698055263919,3.9659067474563376,3,2.978800494021145,1.945951747174537,150,3.7883408145169177,3.5201273210259094,1,5.993683775242026,5
-MT,175,778,250-6004,no,yes,300,8.821411931988854,5,5.031135425887789,7.267660586259439,0,7.122675543938566,2.0658165180827983,150,7.75168501627738,4.849578372388039,6,3.1326278732387287,7
-AR,6,658,559-7878,yes,yes,200,8.855874076953269,2,7.2462563345016475,7.406054399609735,2,5.113887011075222,3.87371387614789,250,6.713167456506588,5.784092605669866,7,3.1235340096402813,6
-MD,192,776,389-9079,no,yes,300,6.677099489674621,5,2.928481324849487,4.538569944932606,8,1.4244186853552474,1.4560538648940895,400,0.7634077594480121,4.301093867122436,5,3.8550421155853702,4
-NJ,44,787,929-9077,yes,no,0,3.0246904377312065,3,5.5793259695114585,4.453947118364884,2,4.8582312098200235,2.3420112550585017,300,4.9805500350229535,4.765953010378037,3,4.746671962845992,7
-NC,128,786,199-5941,no,yes,600,7.360861453903242,4,6.2208598878366015,6.433208426119876,0,6.4170190395653055,2.486742370252333,250,5.580423088631829,4.646719949066059,7,4.069307656318018,7
-MS,134,778,572-5466,yes,yes,0,13.241038031603123,1,9.145849692335062,6.776635765081912,1,9.235329355438532,3.3457686476526094,150,7.266354424947572,6.2974008002216335,6,4.632240363131776,5
-VT,97,868,510-5707,yes,yes,600,7.019000917847654,7,2.0841738869146544,4.649786858223724,3,7.688935740668256,3.5711388523405336,0,6.740662539368158,6.290167096881478,5,4.480320674341611,7
-DC,120,686,817-1320,yes,no,0,12.187560425661594,0,8.927863924757249,6.300169678211054,1,7.279182513218361,6.267591109432901,300,6.439794313106406,2.7409824719293727,8,4.801902571473242,7
-ME,164,776,823-2642,yes,no,0,4.786313590805288,4,7.197683508338977,3.1868887203296836,8,2.791440958325087,5.254766939690092,100,5.6146614544816575,5.090137045846905,4,1.6849815500576932,6
-IL,108,737,333-3445,no,no,0,7.2202468552186225,4,4.439870255666408,3.5411284687890325,0,7.525795233798228,3.4983145042696733,300,6.7034922148834815,4.697413984502418,7,0.8252546134604053,8
-TN,171,847,960-7551,yes,yes,300,9.27654652636116,3,5.513292904644011,8.172054507448893,0,7.693546439484173,3.4184922202985613,200,5.983831471137513,4.53515903204328,6,6.737468094692566,5
-ID,4,736,559-7047,no,yes,600,2.5958539278015085,4,2.8467633392710314,3.740260429971541,0,5.477079152841679,4.2640285532867885,200,3.4446942589605363,4.805450155683912,5,5.715720262284912,6
-AZ,90,659,490-1765,yes,yes,300,12.372389998718905,6,4.707343372312769,6.426463364013494,0,8.64908466412275,5.087832177491455,0,7.07902561304785,4.0248592791550335,9,4.474522643787816,4
-HI,195,727,821-5507,no,yes,700,7.342341192858336,4,6.030608934632398,3.7737957444057266,4,6.636747538439666,5.723924452090559,200,4.927644878924238,4.19397843719869,6,5.3570515467839055,4
-GA,112,716,880-5333,yes,no,0,8.73942429233795,2,7.22242681757195,6.291177936750529,3,5.536007742421118,5.49352005810715,200,6.257952305470588,4.384661497383285,5,5.091928111157581,5
-SC,101,836,156-5196,yes,no,0,3.350471952167944,7,0.17220186203398846,0.3647094886888098,1,7.981510312298537,2.637805306744696,250,8.086315083081036,4.648897496913106,5,4.639207169836703,11
-IN,102,737,820-5026,no,yes,400,1.1883502309747946,3,0.3221926801095796,1.467947628303651,0,4.058101208063191,3.4376954465860026,150,4.856063059999388,5.180731806622116,2,3.16563078385898,7
-MN,75,777,739-2979,yes,yes,400,13.050447516824498,5,6.493238471687403,7.202204888247351,1,8.814292858964496,4.350000527057759,100,7.3282150443878225,5.299226461879728,9,5.028063819138998,3
-KY,183,758,919-2300,yes,no,0,4.208577874294827,2,3.4960349853300867,3.2374608124753173,2,6.506295016672609,3.3852056170126277,300,3.818707382947108,4.4295527308256295,8,3.675288264583817,8
-MT,23,778,917-1328,no,yes,300,1.6889451601238368,7,3.3987481028938062,5.361661512632631,3,3.936405854114789,0.9040703590319136,250,6.336857492830987,5.428092425840154,4,0.9176797800136888,7
-ID,33,736,932-6510,yes,yes,700,9.982162215724744,3,7.99210167147625,5.765895917640072,6,6.746712489331534,8.190603860932253,400,4.364606828757782,6.491735122747025,8,5.0316301761811815,5
-NY,162,788,636-2817,yes,no,0,4.567839286956663,3,6.0067116372282685,4.406885827785882,4,4.3485915023709865,3.1591811069211,450,5.4849935469985445,7.725676090716994,8,1.4322429681901268,6
-DC,107,686,631-8269,yes,no,0,6.917248597894868,2,6.325278412362622,6.324666123912162,0,6.205020529561759,0.08748040648833566,250,6.961714879347599,4.690788808752873,6,2.709077317858877,7
-AR,169,658,827-9382,no,no,0,3.31390005354698,4,4.908005762876226,4.71421941078568,4,3.9462825351928883,4.245451860350248,150,5.2988873520719775,5.86618026790199,2,5.426544776087912,5
-WV,174,878,572-3097,no,no,0,7.70376141860502,3,5.966498067682706,6.425798146285198,2,7.155450387264676,5.736733216439498,150,3.4858685070628814,6.2508582280070675,5,9.680516958649145,3
-OH,165,797,790-1863,yes,no,0,8.40946580375972,5,4.166732083976939,5.845461892317807,0,6.5404400057400585,3.4218526959217472,150,8.321422940519264,5.808745537270789,6,1.2633940417884824,7
-UT,37,858,423-9789,no,yes,500,6.7577265392850085,5,6.284554982043581,7.442822433907633,5,5.58554280752074,5.446685821281288,400,5.352325740186132,5.409104989699858,6,3.648128666842846,6
-MI,47,777,457-8934,yes,no,0,3.3110295203308144,3,3.9973099540292383,0.6114452674813124,11,1.0258945489980142,4.5433442663604495,350,1.2192954908776628,4.804588147201908,6,1.8618317833130267,2
-AR,44,658,972-4752,no,no,0,10.55720680780848,1,9.076791013974617,8.454251620452915,2,6.43080240184546,1.8551505231064933,300,7.355575079663402,5.125634908044691,7,2.503504688857087,6
-IN,57,737,813-7141,yes,no,0,4.929646096046613,1,3.85449692579235,0.4578235385115778,0,5.619013121795403,4.217386635131458,150,5.579954529628674,5.20760590208767,7,0.7361906894501482,7
-VT,194,868,750-3570,no,no,0,1.5001810389280623,5,2.339304240510504,2.5995108469379695,6,4.43121423468599,5.7398486112497915,200,4.4437716959654265,5.347544233666163,2,3.968478265026989,4
-CT,149,678,661-6485,no,no,0,3.8283100594061463,5,1.6336745860787598,3.648009287923769,1,6.599981927936372,4.7092127691283165,350,4.82218219648009,6.261779657023926,8,0.7032073522333402,9
-MO,125,777,392-6801,yes,no,0,9.50865073019632,2,6.546825424787764,6.188959273344338,1,6.9727398825561675,3.872083440522388,150,7.421435587383874,5.488821335865813,5,3.3415747213837905,6
-MA,179,776,562-4426,no,yes,400,1.4094316488158944,4,3.848624437703632,2.148317265863088,4,3.4103569676391468,2.049151416719208,350,4.8648060568040075,5.792277363955615,9,1.6645028778838205,7
-KS,134,758,222-6845,yes,yes,200,7.001277334306577,2,8.004218462585232,6.415271577332996,4,5.176583350231663,3.122152138523916,300,6.287427647203443,5.7944631678137295,4,3.795398305482105,6
-RI,128,827,763-4923,no,no,0,1.6084951836468202,4,5.699568311711798,5.7444395415537155,9,0.1577421591820798,2.1361045438086483,350,3.575539661424287,3.9742738707583265,4,3.8358150964940254,4
-UT,31,858,292-6073,yes,yes,500,7.635260231425441,5,4.2557870678108065,5.607157747070981,1,6.3388216910917,4.8152525272727225,100,6.0825145636637385,5.532574324409019,6,4.811606053984528,5
-ID,83,736,590-8833,yes,no,0,10.97330933640862,5,2.1289369911279343,6.715210074686393,5,9.983454976368003,4.445928260891968,50,8.159072954923987,3.3325412623157336,6,5.9046626330866925,6
-NY,106,788,132-5971,no,no,0,2.2286323122277385,2,5.4257031736378725,7.387343713157472,4,2.349585384544324,5.006625501795151,400,2.2788803959445993,4.264032273751082,7,7.547500111548357,4
-AR,74,658,105-2069,no,yes,200,7.179709799409093,5,6.857345747002096,5.196596704701905,5,3.9688086557381386,3.3637284932581113,150,7.686834240662775,3.75179615679736,7,0.7849167151392829,8
-OK,175,797,460-9685,yes,no,0,9.075887431280671,4,8.194541792218484,5.5181234325054875,4,6.614173631143899,3.2966246174793667,100,6.194339898342654,5.5491692804359385,5,4.321689474217409,6
-OK,35,797,433-2845,no,yes,100,9.664797225788783,3,6.319304571822853,7.381244662502213,1,7.08712789509873,3.893390437258876,150,7.345509010149275,5.15872657372667,5,4.30327890549016,6
-NJ,147,787,864-4605,yes,no,0,2.520745080745085,3,5.929159747977879,3.5249359705551457,6,3.9447330519356063,5.4715713924470135,200,2.4071396588345224,4.887077614081501,4,7.381666696808791,4
-WI,2,877,210-1465,yes,no,0,2.2710665175537925,2,2.241903406360362,2.204608968788204,0,4.260664919958947,5.32198763471242,200,4.8567113073634,4.42577645906518,5,0.6285184980855716,9
-ND,141,786,361-5453,yes,no,0,7.5730352569504555,4,6.98349095312545,7.813363224047007,2,6.4514508737470315,3.361270472442113,150,5.974490913775088,3.905846217110075,2,6.045618402181613,7
-WY,132,878,232-3917,no,yes,600,5.933067075018108,7,3.5164163637257566,6.523709351641704,4,4.465910779455196,7.4423643526218575,100,4.567887361643773,3.5184847750608723,6,6.125925367943431,4
-MS,95,778,682-5845,yes,yes,200,7.712193091314778,0,8.226067655873704,5.978415209628331,0,6.563252481784392,0.865282774560713,200,5.895028066368798,5.223265082890969,5,5.100657306171112,6
-OK,29,797,391-1107,yes,no,0,9.867770885842306,2,7.384059867589853,4.541120918174529,3,6.38259949771312,5.6004496939064845,50,5.259879914414979,5.070641113568343,7,5.7213023326431784,3
-CA,69,676,199-4617,no,no,0,2.2400060540950557,5,5.317839027185892,5.531555307845513,3,3.3854958003027136,3.5035425741811155,200,4.52131749657241,5.157903592818302,3,4.589625131301523,8
-FL,28,707,615-3699,yes,no,0,8.53975084149314,5,5.049499960272437,4.3122150940509245,0,7.19456050646945,3.1369649938982547,100,5.764848805228556,4.745099803351425,9,4.267803809388888,4
-IN,167,737,865-6207,yes,yes,700,9.419187312673364,5,7.357026526648867,4.920946306689522,6,7.039142609213817,6.737860827039733,350,5.922419974121745,4.222734224096685,7,2.4455619459057307,6
-OR,43,798,723-2182,no,no,0,3.5529225114817033,6,3.1875348695664063,3.5951319189033084,8,0.8836970152216086,2.9611830692563847,350,1.1540119342056534,4.49843585525695,7,2.8151741811852964,4
-IA,130,736,130-2162,yes,no,0,10.456069499276412,3,7.060602712408338,7.133305593430826,3,6.8566484914677535,5.629426990151188,200,5.553393017399441,6.268077624636009,8,6.2989600585292385,3
-IN,169,737,403-9938,yes,yes,700,2.3396664700563305,4,1.3853253263912269,5.443247344238106,1,3.9584610204941963,3.2331267113645263,200,6.683419309443901,2.620311048485888,4,2.804665959769705,9
-WY,75,878,376-8197,yes,yes,400,1.7738041575878238,6,3.980833666095916,3.2942869484508086,7,1.8071145437966158,0.4842572083365173,300,3.571486958717068,6.340836659684834,6,1.443012431853672,4
-ID,25,736,651-9781,yes,yes,300,7.973011210109307,2,6.118099984668888,5.911507192258483,0,6.898190110122363,3.508470078760718,200,5.93448557793335,5.669132338581637,5,4.865415482027505,6
-OK,146,797,272-3591,no,no,0,5.727972654167607,7,4.129079300980806,2.6138318264296734,6,5.212882783850434,7.097688668120814,50,5.892179343893231,6.34278727788855,4,3.2204519777995597,5
-UT,8,858,285-5697,yes,no,0,3.554673386488379,5,6.210225243778759,6.708317539515628,8,3.7777750797449503,5.183700165173073,350,2.6270550022631385,1.965165510812758,5,7.83396494902224,2
-SD,56,836,990-1398,yes,no,0,5.222363638333405,4,2.1074622160931997,2.632978175529424,5,1.1709885328635157,1.9030035081318288,400,0.4934007931165549,5.9228435779049216,6,4.196177017901677,4
-CT,140,678,147-4887,yes,yes,800,1.5155339343463368,4,2.202929769620078,1.0406001508290963,2,5.802606759890691,5.206303643485744,350,2.225562350108332,4.583501368923301,8,2.7555559935730334,6
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-ID,118,736,123-3904,yes,yes,700,1.2498909472434132,2,3.8962756482196905,4.490892325412137,3,3.1221114447537865,4.449057005514211,350,2.9249123462785227,4.272721134738688,6,4.972078038287497,5
-RI,147,827,265-5530,yes,yes,200,4.586050789732019,1,5.558094380156421,7.065266361504341,0,6.1608821367679365,2.8808853286456086,250,4.782036540312125,5.387837623268576,1,7.538650539951837,8
-CT,150,678,544-9214,yes,no,0,3.6915420175765497,6,4.660581536157176,6.462825378580615,5,4.757214381800306,4.542852258448471,300,3.7331877018457016,5.037781977213412,5,7.046250361167845,3
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-DC,20,686,200-6664,no,yes,600,5.333202138527106,3,3.840111127044477,5.245221275233868,0,5.780519655755089,4.146290415928638,200,5.979356635416355,5.205847453950779,4,5.756279426280125,6
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-RI,87,827,603-1194,no,no,0,6.283196079971014,3,7.072021634211497,4.3483210972567035,5,5.82688221980906,4.75905834095237,200,5.920076213154899,4.423855479103807,1,5.268297740519838,6
-ID,177,736,495-3691,no,yes,300,8.869522604494993,7,5.899285320360954,6.114343807997803,5,6.580281842766419,6.963054588746139,100,4.983386933161946,2.704223405240369,6,6.283426344462177,4
-RI,64,827,486-8525,yes,yes,600,9.91562047802458,0,7.34476904387088,4.097873475380351,3,6.110578074653344,8.575868867625111,200,5.371326211097788,4.210962555686085,6,4.8275219759576435,6
-SD,35,836,319-5690,no,yes,500,5.140424247384729,5,4.089910495481884,6.574796848952554,2,5.967082553005457,5.161299543737007,200,4.972237812049519,6.738178477096996,3,7.2994354397109245,5
-WI,141,877,893-8922,no,yes,500,1.7944136032912068,4,5.78759014508383,3.485378535884593,6,3.5280094942100586,1.86852350561831,300,4.567844695305078,4.612458745274634,4,3.796797736040459,5
-WI,115,877,143-4258,no,yes,400,10.992091447213175,6,8.198729830618705,8.441949401753963,7,6.824049098478374,5.947693234926488,200,5.5305152313941415,5.961025720198017,7,7.101677699518388,2
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-IN,34,737,723-3832,yes,yes,800,1.0707922754713532,3,2.1030274411193637,2.8400122919361963,0,4.495817629113389,3.753240530235272,250,4.24427442068986,5.254966045933761,5,4.032450665798507,7
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-SC,128,836,984-9126,no,yes,700,3.205405597925865,0,3.4568889449336337,1.6971000651456314,1,4.8042638250441385,5.635752862802787,250,4.2273641389913665,6.474828175226968,6,3.1523807785452203,7
-VT,84,868,672-3957,yes,no,0,0.5874169656174724,3,1.6384687771611803,1.6521849423623305,0,4.501912931296543,4.198150080820176,200,2.8420872329665454,4.750649837259936,6,3.5916381403154,6
-NH,65,787,651-3070,yes,yes,500,7.849425910307107,6,8.241644137473036,5.0563924893358605,10,4.671233102414263,6.318060842020893,200,5.253357840106827,4.463796771260842,6,4.598715003212071,3
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-CT,113,678,728-8886,yes,no,0,7.291548847604867,4,6.60025967724883,5.684139372902969,4,4.451697471410009,3.085699832417112,200,8.710451569090063,3.6155617017132218,5,1.5490930681605013,9
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-ID,197,736,509-9374,yes,yes,200,8.143387814032595,3,9.564763335215716,6.593613633072018,7,3.3103362321576677,3.486376506156255,200,6.091686629990458,3.7242001311352295,8,1.4307130464301552,6
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-CO,73,677,724-7468,no,yes,200,9.851332165068172,4,6.714237829909193,3.9120026597481057,5,6.665044116605201,6.359300361820693,50,6.807932493466523,5.427858109288231,5,3.1140333458040814,5
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-CO,48,677,706-2360,yes,no,0,5.993166566752341,3,5.119557980897891,7.47694598939632,0,5.890255695863183,4.724791324836182,300,4.162854374203222,5.379847958785653,5,7.922236915144969,6
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-NH,191,787,215-6943,no,no,0,4.34871246428777,4,4.501904703520801,6.325270865070101,2,3.888390098658519,3.603221102071858,250,5.960235536393608,3.119576334213808,5,3.335416555161957,7
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-ID,168,736,686-4657,no,no,0,7.828809358390637,3,7.135957922081376,7.335539331202911,3,5.280330333324278,3.378262833703332,250,6.7139102190200814,6.914875549226965,6,2.5513788857202204,7
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-TX,123,848,297-8502,yes,yes,800,3.4199343303031884,1,4.150011445702853,1.2431441405226606,3,4.720298454659347,6.272162620332416,350,3.3397986118003913,4.727324917050102,8,2.0310203006579584,6
-AR,34,658,610-5082,no,yes,0,9.863418044553617,3,9.203275716397963,6.392426193443754,3,6.2738454634002885,1.6893553918944142,150,7.667742113538583,6.538516050705308,6,1.9993923558701183,7
-MD,24,776,804-8100,no,yes,700,1.0068171928596472,4,2.8495327722171986,7.0922735770891085,1,2.3033505456552623,2.857170802688228,350,1.7475631388833954,5.162218157106219,6,7.414498667296709,5
-NY,62,788,143-8368,yes,yes,100,12.33953760779974,3,7.969131893434964,6.7953711846598335,0,8.683218444463392,1.0728981923760168,100,9.110316212369208,4.076969398507897,6,2.101123312254785,7
-VT,72,868,417-4870,yes,yes,0,10.374308752059429,2,10.154949872043293,7.398934933816012,5,6.100203767811219,3.2975608210926226,200,5.592911764692967,5.069241585734205,7,5.056766467219734,4
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-HI,44,727,633-9351,yes,yes,500,1.3243261968660254,3,5.2110423653339835,3.518035458097984,5,2.6875825111221747,3.298070928786036,300,3.8396173342328512,4.890216742306358,6,2.3115049202387734,6
-OR,48,798,593-7678,no,yes,200,1.7729677834287507,6,0.9058525025629596,0.4260493209455962,3,3.9311903567748936,2.7350478040181345,100,3.4885169821459723,3.2423258834865187,3,1.9416353882309885,6
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-OK,200,797,690-5970,no,no,0,2.688124983469433,2,10.028018224399833,10.902095375944116,13,1.4922575823898434,5.392957206120896,300,2.7596400415550395,4.101940650079129,3,10.307876146917476,0
-GA,143,716,461-8977,yes,yes,400,7.596626468751398,3,5.18901134666561,6.050279735567926,0,6.765506038814563,2.243568574380329,200,6.9654861139344835,3.8607055318217003,6,3.0345807016400723,7
-NM,68,787,260-3536,yes,yes,500,3.2830556487628395,6,3.6908646004727377,4.359619764781948,5,5.1009893581806995,4.458751848182833,400,5.182044297440784,4.840668751821352,5,2.2559943661405697,5
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-NJ,72,787,405-1325,yes,yes,400,6.464391092757615,4,5.26180963848644,7.247013879794383,2,4.9809632996547615,4.388810660381964,200,5.541864652460932,5.192442468575579,6,5.173224279193854,5
-KS,115,758,903-5026,no,yes,700,10.702249971556167,2,6.797083487640876,6.8970969945333875,0,7.373689632659112,4.013197329223703,300,7.143921879121607,4.877183223452414,8,2.6956183950820285,8
-ID,129,736,789-3168,no,yes,0,11.961330806520582,2,7.364566465903577,10.048027895678237,1,6.981823640976718,3.7718090803101627,250,6.848270277249013,5.147972410623097,9,4.663046754665056,4
-SD,72,836,983-6578,no,no,0,10.818901438763916,1,8.244805633693032,7.982005271314006,1,7.080373081712657,2.171032414175125,250,7.10753782660992,3.389528186763774,7,4.552835549307449,5
-NJ,184,787,732-1623,yes,no,0,10.074187794869008,3,8.22137376493111,6.661473556436701,6,6.0489147140708726,6.444229065323848,200,4.831788844559463,6.3980689296112105,7,6.1608728149108565,2
-NV,45,788,135-4334,no,yes,500,2.0589066243800835,5,3.0731661367657055,3.5409731466757712,1,4.767162631869307,1.6951696082580878,250,4.590967479095012,5.4906193552610185,7,1.7321871865137974,6
-RI,113,827,569-3477,no,no,0,11.088294423753776,6,6.110169864877147,5.8943958154556775,2,7.4916914248387965,3.7011372955416815,100,7.75585200720437,4.169210617526595,8,2.2428945475802373,4
-NC,90,786,910-6181,yes,no,0,10.98699121270469,6,6.018154355218071,8.80059501427935,0,10.187499361911655,4.553661868546405,150,4.5742577371965005,6.33749568613105,4,11.873595865996418,2
-NC,106,786,585-5374,yes,yes,600,9.05100323246567,3,3.1926301026826867,6.966473273739044,3,8.657200764018384,4.594659805033179,100,5.644117212401197,5.236080817233985,6,8.598363363149957,4
-MI,133,777,485-8049,no,no,0,4.9177705239742195,3,6.2003771254317925,4.777619563162103,5,4.991220689815975,5.7699950603701735,200,3.835827293741261,5.7731115455178985,3,7.5556870728104855,4
-RI,199,827,551-4861,no,yes,600,4.404943683421256,2,4.702166854160776,3.826075235317541,0,5.23760245256626,3.5100888754341604,100,4.351209757659395,2.3961456454010697,5,5.723402037630688,7
-CT,42,678,990-7115,no,no,0,3.3057416096809216,4,2.633044447222757,3.434471076175765,3,5.5690862531753424,5.829525159100591,100,4.183789530993469,2.9740297792371124,2,8.119846754831036,3
-TX,150,848,640-7033,no,yes,500,10.408117607129347,6,6.202440676454536,7.006140116046881,5,5.511906539256832,6.766911114739065,100,5.9858351610702405,4.329145832912205,10,4.219104358249328,3
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-VT,116,868,711-2623,no,no,0,2.3316206951780867,2,4.228067340868068,5.6192910193017624,2,2.7038158278490387,3.333289979525901,250,4.583109212108298,5.405833498412256,6,3.8188650859165842,6
-SC,193,836,856-4027,yes,yes,500,6.143119872260913,4,6.036970129077351,5.5737660149517945,3,5.562892423562515,4.334039803025503,200,4.721385120236246,4.3637406658634355,5,6.248846353380483,5
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-WV,98,878,985-4122,yes,yes,800,10.365056041413274,1,6.214458501212372,3.3756830801041926,2,7.773748384597048,9.193927339813381,300,5.75397317579479,6.663770294296612,6,4.330836043133114,6
-OK,1,797,838-8445,no,no,0,3.191720932043488,3,2.0282994584931378,2.8237544776462715,4,1.8007624736287116,3.3036501064666863,350,2.0466746537451943,4.7752422300918935,5,4.3605438530526826,5
-IN,24,737,755-8923,yes,yes,400,3.935536256065586,3,5.670568975968446,6.214112675094869,3,3.0586684943549614,2.967987205339495,250,5.311998307004849,5.200943855728339,6,2.434991382657438,7
-MI,110,777,836-1939,yes,yes,500,7.846569119927458,4,5.07985378124463,6.6397189146649165,2,6.4252682029356265,6.1784788367845485,150,3.42737050009082,5.798400393367405,8,8.3035002809518,2
-RI,138,827,934-6270,no,yes,300,5.611231876802392,7,1.4368997515303272,4.4189874551817185,6,0.6017719418419532,0.3314265986352263,350,3.219668637905377,6.0587185683465234,3,3.1733249113684465,4
-AZ,91,659,656-6911,no,yes,500,2.5386638332387217,5,5.449646907349753,5.061181451057427,7,0.8583097519913307,4.8608435251823545,250,5.144038970473075,4.024056111481878,8,0.008900535621601868,7
-LA,61,766,546-3939,yes,no,0,3.8469685045929007,1,5.1393693713892885,7.3738431623926735,0,4.841163256347753,0.7258451192236741,350,7.659745619038807,5.0956713280180095,1,2.3037278004381974,10
-WV,98,878,190-8887,no,yes,200,3.24817731877853,1,7.02414401617149,4.887945738167888,4,3.5150974475846946,3.2641160927897923,250,4.926540147404964,6.596292146377711,2,4.061806877943783,8
-NV,193,788,158-9040,yes,no,0,11.271975424166047,4,7.695751631980783,6.642350427013907,3,8.1133762639146,4.193536405001244,150,6.411280308259393,4.220784799089746,6,5.785764854143659,4
-IN,131,737,136-8109,no,yes,200,10.342542511135862,3,7.2479261538347375,3.2345624538376816,2,8.34897439704554,3.933045750314753,100,6.550105330548178,6.799729208027529,6,4.378812366121605,4
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-NH,187,787,351-7531,no,yes,900,4.3958010214544805,1,3.5582700552728257,3.911208849617412,0,5.600051151053245,5.408406370554896,350,4.386335744169443,5.849056047883019,7,3.6273836560643513,8
-OK,48,797,377-3295,no,no,0,1.2832389980807628,3,3.375270337601392,4.513156294686074,4,4.190360041985583,5.065739358787846,250,2.4876315089966328,4.808288630341121,3,9.421166167846328,2
-HI,51,727,879-8054,no,no,0,7.581938656266461,3,6.367819205558583,3.285133593314232,3,6.092662567787549,4.646576502187693,100,6.240059650240808,4.582923937468098,5,3.644799963836217,6
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-MT,28,778,594-4962,yes,yes,200,1.2867083875973124,3,4.799665379872113,3.720280595250078,6,2.121854504767274,3.704762536425274,200,4.611985714857473,5.580189894362892,4,2.3923734783471757,6
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-OK,177,797,691-4471,yes,yes,600,3.568064607404008,6,1.835607099859828,2.9707883933280748,6,2.2802134435927464,1.4906313427400648,450,3.2738234089984526,4.203041442804431,4,3.468257966357025,4
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-SD,176,836,941-6786,yes,no,0,1.3063865680136564,4,4.8707970943718495,3.578015281651697,6,2.826497187380287,3.4824088835442013,350,3.556789211815734,6.314651354138559,7,1.7593337011807355,5
-ID,22,736,605-9032,yes,no,0,7.4245527769115025,3,5.181442974625082,8.511815962158638,0,6.659437515387622,4.231166950287778,250,4.617675288568089,4.0954321461030325,6,9.062411207042429,4
-OH,114,797,513-7308,yes,no,0,0.5066452178980967,2,5.754456182108862,3.0312259326208615,9,1.812989802411332,5.718765774708929,450,1.488537508639039,5.236299660993272,8,3.8745871450256235,3
-OK,193,797,866-9811,yes,no,0,7.101619607481427,3,6.4340596334675935,1.8895438041589452,5,6.08966065740213,5.6788635781022565,100,5.495316210491726,4.908463327400812,5,3.2693662010760614,5
-NV,77,788,280-1424,yes,no,0,6.309812329328097,6,6.937131032056593,4.417012395141981,5,4.152909313163772,3.0474013975949563,150,7.75478424000346,5.0477844555996345,5,0.07789345566624918,8
-PA,184,806,728-1252,yes,yes,500,2.482681981814522,3,3.694575754949138,2.9387096933427737,2,4.659757569982926,3.470372797792576,150,3.72495697917126,4.263152211867611,5,5.595880284143865,5
-AL,89,657,936-2194,yes,yes,500,5.7716622281661625,5,6.475730625015593,6.060755910496043,4,4.220063005801488,3.3344473741839864,200,6.119203387917321,3.2080715669941,5,3.2456846004890196,6
-TN,102,847,827-3870,no,no,0,7.245784966203088,0,6.232212618790699,3.9674052672617997,1,5.550713950837761,6.0064063846539115,250,3.9995192658541314,5.323566079102296,8,4.67066287908862,6
-SC,40,836,298-4054,yes,yes,300,10.386676398376355,3,6.6555393194900585,7.73962356851781,1,8.17617943661859,3.8218705801154713,200,6.654997357084793,4.710597711293906,5,7.09246539635958,4
-NE,80,786,610-4119,yes,no,0,4.179374453433379,1,1.9867598541604117,1.338793162855218,2,5.738845909685184,4.917402741915881,150,5.767279045317147,5.095034506639536,6,1.0045450763542605,9
-DE,148,686,508-4005,yes,no,0,6.590304660911912,4,5.3183241492142495,5.1656566219990525,3,5.50938059124879,4.6592022715794466,150,4.774782503580699,5.507354956016562,7,5.505179908900937,4
-SC,62,836,728-7083,no,no,0,5.934785217087402,4,3.809479021563386,4.518271136834847,2,5.468453601209147,6.223327827426632,50,4.943481853424881,4.592027439074201,5,5.312074377907647,5
-VT,23,868,489-8638,no,no,0,3.307842782811467,5,5.004282934708078,6.983725691357008,6,3.9631530246643387,4.5055042902546525,350,3.699452958974159,3.7645104836558154,5,5.945479770681057,4
-HI,86,727,840-9985,yes,yes,900,2.397636110149537,3,3.2559951083644063,4.526606699389118,1,4.245726940094968,3.744854162991665,400,3.3682379136771137,2.862201091346585,10,2.703498196036052,6
-MS,67,778,690-3713,yes,yes,100,8.343459474170967,3,1.026142378272262,0.6534954322894597,7,1.3020978403403325,1.5651996148712133,150,0.7535222615339839,5.447044373321671,3,4.844598284881618,2
-MT,27,778,964-6697,yes,no,0,12.004232688593705,2,9.234313768884393,6.998698847687023,2,8.373916979401303,2.763944148707723,200,7.149087431201449,4.3922075882098435,6,5.139778942113825,4
-AZ,26,659,295-7426,no,no,0,1.399675198087161,4,2.8773251307036727,1.0783902141694846,1,4.495833750422197,1.9111543637967532,250,4.983875289371009,6.246962331814669,7,0.5038263474524651,7
-MN,118,777,905-5686,yes,no,0,1.1309439299843909,3,2.7963783829663433,2.126610226109528,3,4.006195631514181,5.1035331634517735,200,3.3861311922252177,6.022774544573827,5,4.1480632459303495,5
-PA,110,806,988-1010,yes,no,0,10.64905198303864,2,8.037270723515036,7.967304724872915,4,7.133641232295613,6.712219158949822,200,2.8839111327305127,5.395963232723341,8,11.25744454705462,0
-AR,191,658,538-5030,no,yes,500,3.26272884502842,5,1.5475422331521682,3.333865180649779,3,1.41959375631895,0.1912923125392343,450,4.176421534258094,6.175005323578705,8,2.326585495541802,8
-WI,194,877,377-5196,yes,no,0,6.5248096845991,5,6.0485442294771525,4.3283298730113255,4,4.916731605755995,2.9037081638288944,250,6.986325868860526,6.601388441653307,8,1.609951604968284,8
-IN,134,737,617-6823,yes,yes,400,6.527414034673063,3,9.366701519733363,9.499503291539275,8,2.8727588713609715,3.7625475230057375,350,5.295056141239232,5.10751074395183,4,7.659363693434909,3
-DE,140,686,629-2591,no,yes,100,10.970888020717744,4,9.286050448809565,5.0115242477749335,5,7.057291894030382,3.8704654615373055,100,6.8902184619903055,2.5337732137196984,6,2.856917709203638,6
-OH,165,797,597-5517,yes,no,0,0.6252375067396939,4,5.264089603346559,10.403677387938524,4,1.8009290017951485,3.08913939957733,350,2.8584531447755133,4.846227995109293,2,11.47254324968808,3
-WY,61,878,603-3352,no,no,0,2.5398087780936702,3,4.065633922827181,5.318229092704018,2,3.6490169577489535,3.5403420171953064,300,4.194120654771312,6.270605548364991,6,3.8919967224235794,6
-TX,135,848,656-8312,yes,no,0,10.24217497710733,2,4.301765904847752,5.4881141820002854,2,8.987792719727958,5.342704784404821,100,6.030650234326744,5.0253551621221835,6,6.720658289340264,4
-CO,20,677,130-5987,no,no,0,6.311824945962336,2,5.191386735128713,5.395388549518883,0,6.481465730493183,2.553928157076449,200,6.5037917540295584,5.357111878332907,3,4.561212124906211,7
-VT,145,868,397-7011,yes,yes,400,6.160870745414876,5,4.26510651030572,5.102558570524764,1,5.066562782605748,3.3763997922384794,200,7.790036175649472,3.009954812146936,6,0.504554875961988,8
-CO,150,677,355-8015,no,no,0,0.5233244558877175,4,5.000780668690347,5.518157041382692,7,1.3485231343496231,3.8338698096552175,200,1.0701459288551138,4.537502686701275,5,7.595528327035121,2
-TN,128,847,879-7210,yes,no,0,6.040434520484999,4,2.302232722018624,3.994996690859186,0,7.186691707012688,5.8130813089863596,150,5.464651006214115,4.0885358137255965,4,6.240594840758963,5
-CT,98,678,828-2953,no,no,0,0.9114870917592349,3,1.2393943377054204,0.0923434942222583,6,2.870013160601337,4.8270039603568256,350,4.95585899073983,6.368075422284948,5,0.5987475895754804,5
-OR,65,798,587-4687,no,no,0,1.3882068427051362,3,3.267458338023129,5.1498967043205175,1,2.7733560662478127,4.569233329729994,250,4.581652829581626,4.649672222685005,4,3.9594166297604207,8
-IN,11,737,303-3613,no,yes,100,11.841360630729527,3,8.587456433611282,8.548029355447436,2,7.980915781374812,3.701820323578376,200,6.851340734533559,2.9355908765657643,6,5.121201330989638,6
-ME,54,776,290-2480,no,yes,600,7.484172419518166,1,3.7504248446752455,2.0974599172096675,2,7.209143139031942,5.533488131970952,50,6.489866427674516,4.63201910261541,5,3.348350399119652,8
-PA,19,806,136-4706,no,no,0,10.090807264044221,4,7.231076355045376,3.477445863375781,5,6.954835998522603,6.7970681899174705,200,6.196983018099997,5.41062277737135,7,1.4292274504803104,6
-CA,180,676,279-6755,yes,no,0,3.9861074700777337,5,1.7266771408751826,0.8982454101507917,6,1.8838264262162976,2.6784774120219197,300,2.3543540517829302,4.3062329295572885,4,2.492506144537959,5
-WY,136,878,253-7119,no,no,0,0.17129486798502302,5,2.7822078829442694,2.039747582587112,5,3.9854224936111393,4.205945116247158,300,3.168150588129667,5.58008070631563,5,3.570017437012836,5
-KS,155,758,478-8927,yes,no,0,6.77250980878341,3,5.735661220674222,5.957997880837814,2,4.6105330212731905,2.17392599719367,250,7.407836096687318,7.23307362254212,8,1.1890636079357733,6
-IN,40,737,869-3987,no,yes,300,2.626333190472737,8,3.4914522114756146,5.86409497268958,8,1.8774522058352396,2.429294378871014,250,1.989907386075856,5.555406940378886,2,7.115615786535576,3
-NJ,122,787,127-9955,no,yes,300,7.733439617988402,2,6.148242109607134,7.6671840672325535,0,6.412598620950347,2.3519298176147387,200,5.856698078706616,6.041395915638568,6,5.100233356113833,7
-SD,16,836,482-7936,yes,yes,0,8.894723879255203,2,7.253880100413912,6.235676368371723,0,6.7370953328792895,1.396702420007426,200,8.535115403650561,4.885356454751827,4,0.8255662830151156,9
-WA,17,876,481-5855,yes,yes,400,6.360359555738938,1,4.222805745551504,6.2907476127646005,2,7.676896997822088,2.9187185578742474,200,5.323207901237676,2.3814234009635507,3,7.447010253212404,6
-VT,28,868,211-1292,no,yes,400,6.5845702375481405,5,4.28500088892479,3.884875651086933,4,4.6328030828272215,5.4465402874086575,100,7.323964843652144,6.115681593055539,6,0.9602384378161162,6
-CO,143,677,444-8667,no,yes,600,5.0207562527058585,0,2.7280793924730466,1.8729025002248108,1,5.7467050392056676,5.060002035016284,150,6.318498838187734,5.105513582198227,6,1.275541274698616,9
-KS,57,758,433-3285,no,no,0,3.72176284792744,4,5.889442367565121,4.946579912149802,4,4.360025859176534,3.775256116569866,250,3.840128749665704,4.822643540428167,5,4.95551402607882,5
-AZ,99,659,309-9469,yes,yes,600,5.458250352716795,8,5.087269597811932,3.485274798505681,6,3.7310706485019542,5.447250812368366,50,5.8260755033518254,5.273625487482792,7,1.074692668663646,6
-TN,141,847,306-7782,no,no,0,0.7984210683954549,4,0.08123202230758864,4.701257540083379,3,4.996490164184191,3.258963797912081,200,6.408229751176063,5.175439541697499,0,4.359910753712856,10
-NH,122,787,129-7137,no,no,0,0.4249638450602129,6,3.734543959723741,5.061906627671727,8,3.2612573726378677,4.409464990117113,300,3.0506498609752897,5.987578383214303,3,7.011196493503245,2
-DE,77,686,379-8042,yes,yes,700,3.93776429110237,1,3.0076931648937673,6.643310477288091,3,5.390259888860314,2.592514002647817,200,3.8853935598241662,4.646938749216835,7,7.640623436810013,5
-MT,162,778,139-7025,yes,no,0,16.164527149647874,4,9.548727443712323,11.038385332281747,1,10.64087821227942,3.622965532567009,200,6.8698289972996935,4.338718644399108,8,8.966202356492593,2
-MS,169,778,808-4559,no,yes,800,10.431870118596855,3,9.347093741785981,8.120612045306196,3,5.832702305297898,4.333157035152686,350,6.3801659958881904,7.450166036831577,8,4.049808912524991,7
-LA,145,766,310-3267,no,no,0,8.05388123748296,4,7.657426687679126,4.025921884452133,6,6.463595607175527,5.838149674650571,100,4.7951475699973045,4.89829921947485,4,5.442625475834109,4
-AR,153,658,160-2083,no,no,0,1.817630984163224,5,1.9833699092025057,1.7230764766808893,0,5.816005233389269,3.6467854595643345,150,3.5541479404600085,4.633305983081599,6,1.8682913014006373,8
-VA,63,866,214-4929,yes,yes,600,0.3156245414019043,3,2.664325107315384,3.1628783585883182,3,3.2441286160109564,5.047569764495781,300,2.49248682635708,4.502044574752078,6,4.13930332347425,5
-WV,148,878,744-4471,no,yes,700,4.3214477344465365,5,3.201065171780666,5.105752425101239,0,5.8199264604651795,3.0974598679529315,250,5.994814524535832,6.524411507486223,5,3.75892146932894,7
-CO,184,677,847-8044,yes,no,0,4.8156577747635625,6,7.038286643064635,4.023688420999052,5,3.821775146769578,2.793253293421313,100,6.012421468158702,4.645549205219093,5,0.7257744558515791,9
-NV,115,788,968-8141,yes,yes,200,13.913852217434373,4,8.261744640062082,8.14095294558872,5,8.659118053501171,7.209096451938202,100,4.916776908499179,6.177277276386503,9,7.904598377308169,1
-SD,103,836,120-5534,no,no,0,3.0697205337516404,2,1.6629527077796875,5.929688100305058,2,0.6224724386405089,3.4316061417099393,200,2.0555618181459883,4.513022600137393,3,8.009348721389188,3
-NH,128,787,819-6374,no,no,0,8.551980268605405,2,8.797374105605076,5.770359205714335,4,6.130057316668824,2.412463355667482,250,7.298750291320001,4.156908608466851,4,2.7096361443455894,7
-UT,139,858,119-8574,no,no,0,2.1779814383789953,4,4.055641250170243,3.494881741428073,3,3.482117776815937,2.4780406222613798,250,7.396464118373256,4.7300290416847695,2,0.07772052227280124,9
-OH,101,797,511-3139,yes,no,0,5.1586710814992935,4,4.0056536316954015,8.968462735068082,0,5.0279865365351855,3.303456180724086,300,5.182965277569503,4.832303564943525,6,6.359152890322694,6
-NE,194,786,863-5301,no,yes,800,0.8069346301198381,2,2.8681060980704536,3.700894970038908,3,2.5756119224602307,6.249912338825783,250,1.5504550144261486,5.560650220019188,3,9.065667877764923,4
-VA,90,866,468-5948,no,no,0,5.693790031564866,5,0.13127335110190594,3.1045970141062784,5,0.7404612002924456,3.3089776296080524,300,1.104364249835856,4.738774425188192,4,4.7920408930504195,3
-MD,66,776,483-4415,yes,yes,500,5.641679302336104,4,7.202552052643063,6.636089889522682,7,3.9678006321225783,6.3296153460597,200,3.0698631507238034,5.524035985979771,5,7.85998058293772,3
-ND,185,786,701-7247,yes,no,0,7.221523846715902,3,7.2511557287762365,5.890231997413935,3,5.967928632742463,3.0731126102349533,200,5.40037019877554,5.9290894085948525,5,6.040905932551793,4
-NC,186,786,895-4961,no,no,0,8.49760146010752,3,4.935967747379697,6.544500332351285,0,5.757508760661468,4.708564662924214,150,6.64591727804847,5.828908048780817,8,2.707055937105113,6
-AL,24,657,122-7701,yes,yes,700,5.100416905953626,6,6.538255191962851,5.661807944938334,7,4.617178988560295,3.069681301989468,500,5.934322624008918,5.969231727164158,8,0.3707210217327024,6
-NM,16,787,508-6053,no,yes,500,7.6263721613225535,6,4.488566630941922,7.562413822536207,1,6.451339161719759,4.823156608563892,200,6.601104150586082,5.046634721963541,4,5.413922328949317,6
-NY,130,788,661-2194,no,yes,300,7.1390326404565085,2,6.006000618424785,7.736329721312401,1,6.944483454439357,1.7920597585041431,250,5.4676430349657625,3.548193985806296,5,5.88149484567745,7
-NC,52,786,464-7698,yes,yes,400,0.3140491938660421,3,4.37943570851347,1.6453895779384515,8,2.164495878995563,3.5655601845414844,300,3.3655143934958733,5.4473683912768305,6,2.5408030013538347,3
-IA,133,736,538-4203,yes,no,0,2.913410006792627,4,5.989963410132206,5.3209537828800615,6,3.2742131401036256,4.281164000664628,300,2.2331603996767524,4.468320764210207,8,5.031647314261829,4
-CT,192,678,886-3965,no,no,0,7.438292036176407,4,6.797121753888861,6.77106526157334,3,5.868155258395982,3.657597582024082,200,6.379129364977013,4.5373905914360195,4,4.517111183683878,7
-CO,102,677,173-6193,yes,yes,400,11.195590662697802,4,6.476412723297691,9.332969900573584,0,9.719200379491891,3.9557579536978973,200,4.705151272471007,4.969161590391425,6,11.362919554180865,2
-ME,164,776,116-9885,yes,yes,500,2.6581031758896394,7,2.3464494277228547,5.4648060964561695,1,3.835090765551169,4.71010973273469,150,5.883114883861692,4.38136160872976,3,2.9267418331854405,9
-DE,166,686,962-1524,yes,yes,400,0.4092608576564851,4,3.8277072458590258,4.692223144813738,4,2.3209225360308228,2.015398552854795,250,2.884468820793299,6.540823636877249,6,4.360235302125448,5
-MT,147,778,714-9899,yes,no,0,2.5700754360846108,2,1.3933016008981722,2.5549662851244683,1,2.258259167424898,3.4182581546014483,300,2.498604106004929,6.290877327553416,5,4.3690700559336495,6
-MA,111,776,922-5144,yes,no,0,7.459197164048791,4,4.6439703216007535,6.049635481224702,1,5.877832233728858,5.3857066542861585,150,5.307495879544399,5.091805038086463,7,5.421742899445172,4
-SD,25,836,574-3873,yes,yes,400,1.2043879459985378,2,3.243359124574836,5.856648522795387,3,1.4462520747154874,3.5967815691244662,150,3.0882171559124925,4.968563032556852,1,9.120078713247887,4
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-MT,61,778,619-8308,yes,yes,500,7.152763964985097,3,3.634100812967679,5.575918707666626,1,6.5617146994774656,4.161377768813495,100,6.127925075183638,4.679882376031301,6,4.6434343082519245,6
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-OH,81,797,141-9399,yes,yes,200,2.6597532060712115,4,6.080391730433721,5.3058943107173935,8,2.4867432260360656,4.976358294639974,250,3.711805049402296,5.967879840056102,4,4.970671889848644,4
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-ID,132,736,915-5003,no,no,0,7.485352192595072,2,7.272704195761851,4.995654236632177,5,5.636037797326289,5.156831187009899,200,4.532943918318724,5.157230466430411,6,5.376341582155083,4
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-AZ,200,659,149-6759,no,yes,700,6.934717050775587,4,3.316456755651488,4.196134205820709,1,6.151948054556912,4.142167581737291,100,5.873022319123157,5.670477627810085,8,3.4773946800802165,5
-CO,179,677,826-7698,no,no,0,2.4678184033519446,4,1.8087523078184864,2.090771907288865,7,2.6230206133348255,5.187742752754215,200,0.9104585820954688,5.702362640204855,3,7.7688500386711645,1
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-NM,71,787,640-9757,no,no,0,8.174226885470187,7,7.253308876468194,5.125211454247973,8,5.818240202048665,7.369247877756895,50,3.273889547133453,6.305790989865818,6,8.089319586357682,2
-IA,28,736,444-1522,yes,no,0,10.688448327857307,2,10.147592889511916,7.4961143855930805,5,6.0123388762674095,3.477918195350895,250,7.02197206084208,5.408548838114798,5,3.2862512843590794,6
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-ID,70,736,546-2760,no,yes,400,2.92249249189642,4,3.775697846828411,5.72778609146583,0,3.943821752568311,2.6987849453774144,150,5.9251844404646965,3.7216081564883448,3,2.8795176516503096,10
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-ID,85,736,881-6089,yes,no,0,6.897248574452075,1,6.13979634285411,8.543469553217713,1,7.541705436448043,2.8609203054039085,300,4.053905132320063,6.604784885866916,3,10.615250847907538,4
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-NY,172,788,195-6845,yes,no,0,6.107506528146273,8,1.5655677977407343,0.16689939983172852,4,3.2336225344306464,2.0012488050622164,200,2.2268337488976453,5.698534068315484,2,3.783996384766087,4
-NH,73,787,781-1868,yes,no,0,9.82127446288436,3,5.745592922988709,7.0472709812631615,0,7.819661358529626,3.318162845211152,200,6.25377993318573,4.487130612610441,8,5.246547572478566,5
-WY,82,878,840-4568,yes,no,0,6.609294973666822,4,6.027843405414847,6.382149840747165,4,5.0006126640225235,4.304471952509194,200,6.837790813583603,4.5003578249168665,3,3.9380560276731287,6
-NE,28,786,557-5760,yes,yes,200,6.515365198284751,0,6.9990485099022175,5.605170925654516,2,4.625671028066068,2.7997281074071028,250,6.778626062707602,5.044898492410157,5,2.770956130812438,7
-MS,81,778,352-9450,no,no,0,0.7079624140315001,5,4.500549518123207,5.1574149531304965,5,0.7552867666560203,2.9516689240590854,250,5.412960408035961,4.600109522947848,6,0.3430886855284818,8
-AK,41,657,784-5607,yes,no,0,11.116531317654424,2,7.211172755693654,6.061085176439327,2,7.863087923496081,9.388412926973396,200,4.971666121463802,5.286679598128896,4,7.912909717509657,6
-DC,181,686,232-5858,yes,no,0,3.939146994777389,4,4.155323695751649,5.371681091090445,3,5.047818272190074,6.323743735965607,200,3.230662273548512,4.120415322650389,3,8.915922795687313,3
-SD,96,836,785-9814,yes,yes,500,9.70339217660571,6,5.293011302695398,4.376940115466861,3,7.1983122858162805,4.7190810918989765,50,6.430316581701812,5.3151498329080304,8,3.618487128718405,3
-WY,38,878,438-8769,no,no,0,5.776310086182892,1,5.853809278682003,5.079069783753283,0,4.463354304898355,3.6572619297590494,100,5.244890900014624,5.010975487682006,6,4.20483385162751,7
-TX,178,848,158-6944,no,yes,500,4.742116221617558,5,0.057863359165276414,0.08636858505721001,0,3.106067934171528,1.5199922455069357,150,0.8342944009522189,5.1550695636024955,5,4.2158097274025295,5
-NH,189,787,112-9069,no,no,0,2.6933186470837525,5,2.1031288818539644,3.53342275739917,0,5.028513356863527,3.979975949195048,100,5.6290113845687735,5.296856620898693,3,3.7848046910012942,8
-NV,77,788,563-9466,no,no,0,12.72761784397039,3,10.82728599294293,10.36085745306566,5,7.141514230060488,3.018006515056699,300,7.422584077954405,6.335044313944147,6,4.387986878652152,5
-CT,13,678,970-6722,yes,no,0,9.425316562973313,3,6.453132826444781,5.5686984717073225,1,6.900964080931535,4.024949634896204,100,7.746184921475755,3.994961940679565,4,2.724791071046308,7
-PA,75,806,699-1630,yes,yes,400,8.700946822055393,2,8.499556321040622,6.272792647772571,7,4.97324804388885,7.592441175985543,250,4.1839739885365335,6.100150880016724,6,5.739766535422372,4
-HI,189,727,735-8783,yes,no,0,9.67399053928987,3,9.07065772162181,5.990933988601405,5,7.481242535933963,4.393939474685607,200,4.503383909414431,4.501256114996275,5,7.1428731221927855,3
-NV,147,788,521-6470,no,yes,700,3.2366706984323086,1,4.433995175084244,5.690325222256058,0,4.1335240986307005,4.875782918080659,250,3.2719173285843106,5.3742946639979605,5,7.729910061997557,6
-TN,91,847,920-1671,no,no,0,4.111910110767663,5,2.5685088688636357,4.094184471630622,2,5.583146253433112,6.630804048833584,100,3.3273906825770965,6.669363001732771,5,8.622927838947183,3
-KS,127,758,875-8067,yes,yes,100,4.936292305221129,1,6.9743032057333485,4.116666844149232,2,4.207685341129965,1.4531789097805092,200,7.308616735878094,4.330882475778417,4,0.16131710049030626,10
-HI,51,727,769-5851,no,no,0,3.1133245412579904,4,4.761464973404896,6.2579251982591835,3,2.6466761919728223,4.8031864172486936,250,4.572702736831005,3.4294406184813555,5,4.342407698138459,6
-IN,164,737,673-5370,yes,yes,200,3.160119158357775,0,7.145047242579344,6.505011905924847,6,2.615385011327743,5.189198108445201,350,3.901285321127796,5.9892555320429945,3,5.36005357247913,6
-IA,60,736,358-7804,yes,yes,900,4.461708684619081,1,3.929146595980531,4.806085477201863,0,5.088786120452075,5.1338260391568795,350,4.057691301877261,5.143528630328481,8,3.550775909397819,8
-SD,129,836,160-4257,yes,no,0,6.7947025505028105,5,6.166148549630357,7.179602865909205,3,5.699172977318892,3.786151238774065,350,5.427982818943021,4.792410651001731,7,3.0160884748542065,7
-MN,188,777,898-8827,yes,no,0,2.6047682599070767,6,3.4984715512530675,3.313564370217545,7,2.051547575737932,1.697128145915943,250,2.709409811348004,3.4613164299650427,3,4.874708190341108,3
-AR,198,658,673-5220,yes,yes,500,4.786644843848017,4,6.178721807034835,4.377096594791299,5,4.651390111699366,3.7535061518099266,250,4.151230119851709,5.120235339383403,7,3.35787123717124,5
-IA,156,736,265-2255,no,yes,300,0.6157268492851511,4,3.2109493559374678,0.9895680837215022,4,3.370357794878129,3.1863994232669084,250,5.282463942124998,6.2993446319518425,5,0.9908032421285702,8
-OH,80,797,702-4011,no,no,0,10.428334064472915,3,6.9234618045079515,9.03230068096212,0,7.680592294818736,2.9777824108273503,250,7.18623582002205,6.743829456827682,5,5.57942071349837,5
-FL,133,707,295-7586,no,no,0,0.8513656521017126,1,3.05338272348352,3.084311708501469,0,3.961519688904689,3.8595466989126974,200,2.399856642666536,3.3401629353442037,5,6.8146249041594285,6
-NM,29,787,891-5860,no,no,0,4.3628498944808545,5,7.159849240375757,7.7352531222831935,7,3.5345249261299534,5.084755623984722,300,3.3001544566702554,5.764860337498853,4,7.313539833545129,4
-DC,185,686,904-5571,no,no,0,8.346056010204897,4,7.5970129651726594,6.901121065487063,6,4.8580950648011285,5.5365265098471745,150,5.387155849120368,5.2728421547343824,6,5.183751473403108,4
-NE,141,786,950-2658,no,yes,400,2.7354388271947254,1,5.994122662946883,3.350201224193359,5,2.3293380533277253,4.691081953792251,300,3.978914527490671,5.372165237861839,7,1.60802886370877,7
-ID,198,736,669-5931,no,no,0,0.7782848023084288,5,3.454327671832139,1.8387016071226905,3,4.585644221862119,3.4498695946849214,250,2.377267394536525,6.0987742454240825,7,3.0426386892002326,6
-MN,189,777,266-8003,yes,no,0,0.39143756490282655,5,2.784799724313573,4.674785520917874,3,3.300739538309427,3.4909416827267634,400,2.9289068783957815,6.960732594864497,6,3.6679404349157427,6
-DE,67,686,897-3972,yes,yes,300,13.358312108660927,4,6.550112954488244,7.81216008586679,1,9.965127903595432,4.102268489162111,0,5.432281860078744,6.0132593365527285,8,9.279650948232527,2
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-AK,123,657,814-6832,yes,no,0,3.6239904082946084,3,4.992727599682184,6.28944926409333,1,3.693947262497741,2.6394261334764177,400,5.3401111849030505,3.661563615012744,8,1.311880286963799,9
-KS,70,758,128-7951,no,no,0,1.5879680081308414,5,3.1579813431809534,5.739761315196704,5,1.8917322853597425,6.7567661050916366,250,4.260949491219193,1.9222736559156348,4,4.590041206842251,6
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-AR,19,658,898-6275,yes,no,0,3.4150939695694245,5,3.0390465166363345,2.277511240124201,9,1.0339293700425831,3.859251694820836,400,1.4052943991006868,4.809225331217407,7,1.6675743050969514,3
-ID,190,736,401-1229,no,no,0,8.724732983848599,3,5.831354142525583,5.966910030336059,0,7.6553980126956604,3.3335471666270413,150,6.083853074475129,5.063433052142923,5,6.042041362972928,5
-NC,69,786,117-5524,no,no,0,8.562779376807887,2,6.337638637887472,5.822254041242116,0,7.424189842461297,3.146714325801533,200,6.55021554679039,4.393315466849666,4,5.172242236005804,6
-AR,37,658,529-8018,yes,no,0,2.7158668772189816,1,6.3330015092256495,6.809838096986133,6,1.22885585701875,4.946069304342265,300,4.271453231484964,3.3271895493766945,5,4.678926550441974,5
-SD,98,836,548-8539,no,no,0,9.55099045994437,3,7.9216458003611665,5.468413422453654,5,6.336644747044844,5.521077376627537,100,4.345415456666534,4.377045098045069,7,7.178578389950317,2
-UT,46,858,950-3250,yes,yes,500,5.636647853647772,6,3.998777164948768,5.3369028225848965,3,4.8934908200619605,5.175798518996826,150,6.023743068089081,3.271457304139377,6,3.037033844932549,6
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-WV,55,878,187-9281,yes,no,0,7.2246968796055375,4,5.972490721497732,7.960938647043599,4,3.5137861397910557,4.5035934422997785,250,6.2731116221943735,2.9548180914015605,9,1.7800903891132358,5
-HI,5,727,248-6549,yes,yes,300,8.051443633335726,5,5.0540600915480285,3.9576585592532485,1,5.543572486485518,3.282980137578772,50,8.529043285265182,4.6125962320052585,7,1.374970433481268,9
-RI,40,827,425-5460,no,yes,800,3.099750261218379,3,1.0975781352425402,0.20340821165722198,0,6.895824960484608,5.6757253736673485,300,4.530294458732926,5.960051095508883,7,0.2494312192478389,8
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-CO,4,677,160-4133,no,no,0,8.732553712799378,5,4.320668223330294,4.5919607530159015,1,7.99488388498068,1.2714039864723221,50,8.763778914298188,5.722909050007537,6,1.5569113205805785,7
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-RI,184,827,338-1701,yes,no,0,5.864078014314744,4,5.898519910516637,5.1380288420531555,3,4.893845272828406,3.782471784920965,250,6.443398323218279,3.991450609108868,5,2.437790175361485,7
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-IL,147,737,705-3252,yes,no,0,11.871632082892413,6,6.522565862741946,5.045159586128816,3,9.288043172328008,5.771168360860684,0,6.139118219241394,5.56615630633739,6,7.428866143781159,2
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-RI,58,827,553-8816,yes,yes,400,6.156558522340399,2,5.99600559965605,7.132584895289247,0,5.5035026432246665,2.676410155541753,250,4.871117334918863,6.0247804068518604,6,5.417854930305007,7
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-MS,172,778,753-6972,yes,no,0,0.2261676328622881,3,3.4721740098711114,3.5136203093671514,2,3.1745102665748592,3.0304854369773193,200,2.216751918563004,5.9390936553478655,6,5.476640115868944,4
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-MI,82,777,692-4174,yes,no,0,8.66053425741979,5,8.41981452983492,5.592234841564875,5,5.822227509776665,3.321769779861328,150,8.1967256006268,4.67605151931745,3,1.4377453645768463,9
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-WV,104,878,595-8980,yes,no,0,3.469858717585191,2,7.9406631304511235,6.819572762449902,8,1.9754392920653048,3.4573702152542616,250,4.310155243941376,7.138589278023241,3,8.31068209145081,1
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-FL,137,707,259-6369,yes,yes,700,0.6699251131158421,2,4.644356582261697,2.8363374264546977,2,3.246350518894555,2.227850916359575,300,3.5678365629375746,4.822382263891244,6,3.5004829865642844,7
-OK,163,797,640-9305,yes,yes,200,7.411245005896758,2,8.079090873284397,5.2785848488153055,5,5.255988276145642,4.236007615531523,200,5.265362198328394,4.5436441487023655,5,4.0729156895663605,5
-PA,184,806,306-2493,yes,no,0,1.3307291931692609,8,4.169382743186757,4.326966644685196,10,2.482048292174243,2.0510871835729043,350,2.221092104840982,5.594664926543751,6,3.2730150644106675,3
-MO,76,777,587-9074,yes,no,0,6.11174650057688,5,4.9392714412577785,7.306367730736851,4,5.325933740402071,6.744272649632957,300,5.403953638347808,5.148564403410508,3,5.503981081964018,6
-AK,199,657,665-6200,no,yes,300,8.741008427185845,2,5.704428762174286,6.404958711179567,0,7.714653867087329,3.777713609024567,200,5.914992727791828,4.5898708523355305,5,5.819306505119844,6
-MD,53,776,886-3301,yes,yes,500,5.935829978859209,2,5.091385055701919,8.384321082989075,0,5.4909343611401304,3.1916895521852053,300,5.185068605624785,4.672113994834262,5,6.790753531357501,6
-FL,126,707,487-6122,yes,no,0,10.818646861499404,2,7.117627607508378,6.34042117568055,0,8.513043112143125,2.3681051082302584,150,6.728220506153023,3.55975689954853,7,5.426894501637727,5
-WY,113,878,342-5094,yes,no,0,1.1363671948829404,2,4.142697484746361,1.3729087987707906,5,2.8347052202256435,3.9582685230154437,200,4.481642103017309,6.039600203763301,5,1.701379039162267,5
-WY,5,878,234-4987,yes,no,0,11.029913752753398,2,9.039251770161023,10.037615717106835,4,7.6941986525414565,4.847783254758681,300,4.959471443071493,4.3648100082780985,5,8.895592113888137,3
-PA,197,806,955-3179,no,no,0,8.899919611620442,6,5.813312118573071,5.592884520412332,1,6.4846865828348434,2.8591322038682128,100,7.410014904058165,6.122912208716255,7,2.9869444096087125,6
-CT,150,678,483-7774,yes,no,0,2.9848350359955287,5,6.089777008119317,6.057079965182448,8,3.0510270741513894,3.4973040324368165,250,4.4128571485389365,5.1153283176865765,4,5.28020357882246,3
-TN,36,847,606-7286,no,yes,800,1.838599150462271,5,3.9207643413895257,3.364265812328474,5,4.868149546565489,4.284878359367462,350,1.7382385438090533,5.264315199939887,8,5.060014879514577,3
-PA,3,806,272-8298,no,no,0,4.808198404530174,4,3.4772758153261076,5.66405550661257,1,5.301973278840544,5.2468424357227175,150,5.220117114112238,4.59764261681668,4,5.076896674262134,6
-FL,22,707,468-6350,no,yes,300,8.34032033171085,4,6.009513494462423,2.6019697914220257,5,5.8762387957897015,6.790666592412353,0,6.520001138154787,3.263900675842184,4,3.160564149187598,5
-NH,5,787,130-1130,no,no,0,9.827683463721275,5,5.877708348471863,6.176879594227303,3,6.6650025272214775,4.989611102298227,100,6.40027935657896,5.539755714277184,8,3.6914612041864134,4
-MA,99,776,465-1907,yes,no,0,12.814994280701342,2,8.856910855655196,3.933319303765791,4,9.180738350664267,5.508995951567289,50,5.953983738657876,4.522858297590318,5,7.206028070505051,1
-WV,136,878,369-3836,yes,yes,700,4.107938877868147,5,3.8931392223828776,3.6025044586485686,1,6.333425695559264,3.889212168364764,200,4.732778476304442,5.955927591921343,4,4.816543644029059,6
-MI,182,777,763-3187,yes,no,0,6.233154142658957,4,4.688978357262863,9.001264177525918,0,4.538158044672415,2.0783396796924443,300,6.37289773847791,4.520226596132162,9,2.8472373236678554,7
-IN,126,737,920-3243,no,no,0,8.576528824036943,2,6.4767949243312275,4.4746681791177005,2,5.764974703957543,1.870234442435672,200,9.355651923901569,5.474538871015059,6,1.2907906942020189,8
-DE,88,686,737-5497,no,yes,300,12.714338408709425,2,10.25562412072424,5.493865815772367,6,8.116920668884728,4.8221869388915,150,4.662446148610872,6.112072931768734,9,7.5261797882907135,0
-DE,144,686,806-4135,no,no,0,2.1438401057309195,7,4.828676039040095,4.511611360718009,8,4.037512997012041,2.672947746534457,200,5.35627197326883,5.808571838486525,1,5.45930195578907,3
-TX,134,848,304-2089,no,yes,300,9.983847985385623,7,4.528595949204576,5.902848239925037,1,9.068062441506758,4.2424035021412285,50,7.921426766054332,6.325161230071336,3,6.033750609757843,4
-MO,147,777,940-9186,yes,yes,400,8.175649707101613,2,6.052925440029132,5.959261767572452,2,6.677457237236414,4.971362864955138,200,5.431768389300534,4.405149980381667,5,7.3631423566078125,4
-WA,128,876,318-8250,no,no,0,9.676445810137226,1,6.778011543972751,3.963790254099575,3,6.741405801860057,7.453883039615935,200,5.377119956217703,4.174917897061063,7,4.136104145271216,6
-MI,105,777,239-1413,no,yes,900,2.847955087459725,6,1.0315700460155108,5.9035809229817575,2,5.493426595464911,3.969359203900333,200,5.175925184062019,5.8045619485520605,4,6.2487615835106025,7
-IL,166,737,289-3526,yes,no,0,0.7490218219013709,4,2.528439597632385,4.805471685994725,0,4.177170499307017,0.9269445467174896,250,3.784772751371725,4.103052623977802,6,5.262965482656019,5
-MO,145,777,412-6491,no,yes,400,6.31502045182136,1,9.464083475170204,10.215112048769317,6,1.927523908287952,5.4416574514027225,250,3.827049127053287,5.058715311714279,4,10.178454333205057,3
-WY,31,878,617-9889,yes,no,0,5.517051664491546,2,7.79770337881329,5.6601794089447,3,4.646532509227283,1.5689189705480215,250,7.096351231743548,4.638188179088247,2,1.757357035398468,9
-MN,1,777,734-9161,no,yes,400,8.045431250678163,7,4.575456378164273,3.4598680953162764,5,5.4702290687901245,6.730141644800963,0,6.431977995191464,6.15148999240644,7,1.6295365343039996,5
-RI,188,827,582-7622,no,no,0,7.545268600560149,6,9.56250303071682,7.211375735168238,8,3.607829944155935,3.864622383408788,150,4.979805256824777,4.877469006258768,7,3.0512153274856924,6
-KS,148,758,436-6718,yes,no,0,1.059656478845656,6,2.833994211056837,4.4248124869479195,2,3.6253201833231987,0.8313666252235379,350,5.9141607195490185,4.935195308965429,7,2.1116593663057412,9
-MD,161,776,328-5617,yes,yes,700,4.060106315589007,4,4.2407277036058435,6.097301232523375,1,5.028050354383712,3.5924159397996585,300,4.534648623518321,4.359685290224675,6,5.171116947492092,6
-VA,50,866,259-2119,no,yes,0,13.950739845915596,2,10.917370025509944,5.4795308357291095,5,7.801085094807028,3.0924033108145097,100,7.530014952201187,4.517298409652257,9,2.844121836047817,3
-CT,197,678,212-9290,no,yes,500,4.105540486883083,5,2.7233333639676607,5.7479439670119135,1,5.197440277577424,2.5640677213384304,150,6.947976168905535,5.5759616463750135,4,2.5115245663498245,9
-NM,21,787,497-9834,yes,yes,700,0.4965185099683254,4,1.7691488361508778,3.0065580604392945,1,3.795244431272351,1.6345536549390478,300,3.5213077658294027,5.958054340473657,7,2.901570095610084,5
-DE,69,686,869-7143,yes,no,0,6.000254294456832,4,7.9097608391260605,6.418946993910943,6,4.5034825382449135,4.150766685274443,400,3.764948993254031,6.299653027745558,8,5.240954679001499,4
-MA,143,776,689-4516,yes,yes,900,4.799488329439739,2,2.3504248633360683,1.15587623711875,3,6.755412512880804,3.43369699771516,200,5.348831447471089,4.784249408453092,9,0.9377235124050368,9
-IL,105,737,679-5944,no,no,0,0.9720518089265928,3,2.024633122172414,7.7380740771292835,2,3.0913595193300165,1.6666196940705484,350,5.409620006986513,5.375677954083702,5,3.2668257111031465,9
-NH,64,787,783-4207,yes,yes,500,1.864162857389558,4,2.731037891728876,2.6556891474010174,0,5.276581966187663,2.7392256541079907,200,4.299221582515223,4.600051382305868,5,2.752245498592801,7
-AZ,57,659,860-8414,no,yes,400,11.231106690618288,2,8.843602305220307,6.6174227260269705,2,7.934046074284345,3.7373582851749245,150,4.943946232888394,5.019827583938708,7,7.712307833052241,3
-UT,90,858,142-6201,no,yes,200,15.544954295040734,3,10.482984408704636,8.589559585682023,2,9.753054767772461,3.683911805332098,100,6.420824086812531,5.7907779113801805,8,7.680427396321093,2
-PA,79,806,202-5947,yes,no,0,3.2684337538800494,3,4.066614813585023,1.6024175070926698,0,5.235861759519712,1.9563382892915588,300,5.317620039580118,5.028060776246453,8,0.1701657462426862,8
-VA,137,866,608-5339,yes,yes,400,7.51870302423347,6,6.348369108021692,9.078378705997752,2,5.684583213944519,2.3632124036632063,150,7.401482794379964,5.786972828789338,2,7.436345326404724,5
-OK,106,797,243-7667,yes,no,0,6.068536023468937,2,3.691844781132085,4.548062513651888,2,5.438477073697745,6.055720376479397,200,6.39773563750697,6.2321263711496035,4,3.658245522359565,6
-NY,171,788,648-3930,no,yes,200,5.403068156347043,7,6.0315072030272034,7.4016654944908336,4,3.0210451180857314,2.419254636091122,200,7.686595976499338,5.496501993867039,6,1.4311928649796632,10
-RI,10,827,833-1610,no,no,0,0.3818890683700049,3,1.283165959686197,2.2513452596985024,4,4.765958316105548,0.05573641485901781,250,3.55997260696515,3.887046325198944,8,1.5698764778099623,9
-OK,169,797,610-7346,no,no,0,0.9391060583657076,3,3.9583949988279374,6.228103318675991,3,2.8619228365183416,2.552289356312536,350,4.227654239131473,3.72737764576572,5,5.833064057129245,5
-VT,3,868,972-9588,yes,no,0,1.433833925452728,4,6.089072327439776,5.742102299275523,8,2.777644948735512,5.158852834590402,400,1.4524852067291412,4.085584092224491,6,7.201232066485011,3
-MA,199,776,918-3902,yes,no,0,6.663804640469303,3,6.615537732885274,4.833774322687925,4,6.204250547104639,5.670967224661063,150,2.7070112890233986,4.9803512183426415,6,9.527033581290812,2
-ND,95,786,189-1601,yes,no,0,3.394591459681533,2,4.000984463339323,2.186872746216113,1,4.590435632179318,4.238219444454684,300,4.778211337596407,5.162926666474874,8,0.025742535370597786,8
-ME,94,776,461-9842,yes,no,0,9.141444720690338,4,3.6103025328397216,5.8646641080286965,3,8.145936032703363,1.7272668446689663,150,8.055741737478375,6.219762966323904,8,2.5444305343696927,6
-GA,143,716,503-1959,yes,yes,500,4.2612923473762905,5,3.117482991529591,5.517042787528511,2,5.931635075442514,4.951624645893985,200,4.828398702796415,4.081381117749221,3,7.186582020814162,4
-IN,54,737,537-9269,yes,yes,100,11.404096019177036,4,6.423972853394072,7.691654311720804,0,9.528075509992505,3.3973813904209016,150,6.509361986812781,2.9361070702001033,5,6.577342275627568,5
-VT,37,868,261-8836,yes,no,0,10.177374659210852,5,9.31610830850232,11.233954854428015,4,6.076297971682175,3.8838006376052703,400,5.931334330800115,4.444268339048999,6,7.64469282340962,5
-VA,24,866,860-9634,no,no,0,6.082426828052187,4,3.269570607668083,3.8483306031552584,1,6.931849678129232,5.574036839969335,200,6.273592920237161,5.816970500413588,4,2.4732480732726705,10
-DC,20,686,996-2889,yes,yes,500,1.3039659253250613,3,4.5291201589620815,3.8387343760514008,4,3.1514088668305185,3.1773657930151438,250,2.7679081024326506,3.775536250918875,7,3.723064458685767,5
-WV,143,878,715-4192,yes,no,0,5.533197024119475,5,2.371511378015506,0.0442132668838644,0,7.959260783296436,4.5464486171669565,100,6.953753349838455,5.8140739521152485,4,0.03973864204483224,8
-NJ,77,787,386-8586,yes,yes,300,10.07815889596178,4,6.304235237985147,6.6523937835999645,0,8.132044134179745,3.5968073776474867,100,6.372723396704477,4.738501877489007,6,5.610013732601165,5
-MS,107,778,996-8612,yes,yes,400,4.191367223514582,5,4.629350399387365,5.778070318580312,4,3.715490768208688,4.7119789127823335,200,5.816080579182722,3.690976993873412,4,2.971050205962022,7
-NC,37,786,627-6372,yes,yes,400,10.165802417540672,4,7.00456062881833,7.136821074787967,2,7.835752573606732,4.507453126384819,150,6.1167630186620805,4.850666274710121,5,7.024529074768172,4
-TX,158,848,713-8858,yes,yes,500,0.4791905890859241,3,5.069836319775071,6.868683938333696,8,0.9680604710888598,6.8440623663542866,250,0.1911189998821925,4.286309986106692,3,12.138762138384363,0
-MN,129,777,793-3049,yes,no,0,2.990814657949061,2,0.7112035392122182,0.116779441619407,2,2.402966940251834,4.110986519274942,100,1.7156433103691608,6.837650607124248,5,4.416890356337967,4
-AZ,169,659,287-1007,no,yes,500,7.6210760191841755,3,5.977106634264535,7.1190519261581295,0,6.781014882027688,3.683622129372828,200,4.752474670047382,3.8626209263334896,5,7.789095995302813,4
-NE,70,786,888-5858,yes,yes,600,3.1645334251993185,2,3.75675363842098,0.044182681812285914,2,5.186274474850322,3.871759514995044,200,5.302528610253921,5.083373391190261,6,0.4850919498584974,7
-PA,111,806,327-6593,no,yes,600,7.6767415423022305,3,6.395883044283003,4.884477303316325,3,6.6625667473422885,5.400605112914324,100,3.8751663745215046,6.193844418996487,5,8.70003851415147,3
-SD,163,836,768-8332,no,no,0,8.183369996341117,2,6.231624718640399,6.525807895453062,0,6.668833476200721,2.4545848612907415,200,6.472319564765326,3.571394882655608,6,4.611144796755873,5
-CT,167,678,988-3474,no,yes,600,2.9294267650880768,3,4.9588864914808966,4.352681324366047,4,3.9419917633895007,4.42023201651567,250,4.2700282173726425,5.268617756915262,3,6.1008562236714825,5
-SC,61,836,854-7582,no,no,0,5.616491471251437,4,3.5914680665374727,7.342114231170736,1,5.243485874857708,2.1479246149439515,250,7.579292575756696,5.1070457116951085,6,1.2102623772415586,9
-IN,43,737,731-8435,yes,yes,100,11.516852739871563,4,9.17245826751133,9.100980621881801,3,5.201717585282812,1.187569215225614,300,8.630920787790778,5.152905652627282,11,1.0112122129930876,6
-UT,65,858,162-2823,yes,no,0,2.8168223489230133,7,3.5254258544189234,4.36909327976883,3,5.774577531229078,3.7473186389610613,350,3.2918902455365537,3.6980018571881415,7,2.663150572373412,7
-LA,189,766,741-5389,no,no,0,3.8058083299899352,1,4.487290081965076,3.0509630560156555,2,4.4692539724841485,4.195015161601569,350,5.324918150488217,6.165456582949592,7,1.2845806039598775,7
-MN,102,777,617-1826,yes,yes,300,1.2982139939822082,5,4.715459397326218,5.359495043974211,8,0.9688436196891796,2.935987009452969,250,2.7066462324048275,3.5688793205938456,4,5.769664458421447,3
-HI,27,727,662-8443,yes,yes,200,0.5067574073719632,4,4.124389815979184,4.730866612116492,5,1.598911870725508,1.6065091107681435,200,5.434218695201057,5.143144698247081,5,2.048161108911404,5
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-ID,194,736,148-5499,yes,no,0,3.859349667751761,6,3.5648252462928887,4.12438207904526,2,5.987203187782426,2.8212896265013714,400,5.7187565511852725,5.416148443811334,6,1.2343704063657062,8
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-MI,58,777,874-1045,no,yes,300,10.964282031875225,3,6.299968079677732,5.617937010359629,0,8.14636218001985,1.8603145184928405,100,8.199431530263071,3.9030366189762544,8,2.2702171232051427,5
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-NE,114,786,109-6526,no,no,0,1.6310636319480372,0,3.4451298414962426,8.262626384234986,2,4.293412589824225,3.727916549330936,400,1.8081578950197008,3.9716808955787695,5,11.285901863894244,4
-LA,8,766,829-1435,yes,yes,600,8.390907299591039,2,6.042558571310799,9.389423885245998,2,5.5561244027662395,3.4522716671890588,250,6.476791734079749,2.7577957396229613,7,4.462864827418816,9
-WI,116,877,628-3823,no,yes,700,6.795030472781594,3,6.558324057623082,6.783811432244864,3,4.935746572590307,5.572273855365534,250,4.4450051079827535,4.45391550503324,6,5.8227135039639775,6
-TX,12,848,622-3751,yes,yes,200,8.870830543338599,4,9.03788594714926,6.122533026351669,6,5.316213717930844,3.6072746466927375,200,6.748174771298435,5.349904667145106,5,2.9355965178368773,6
-ND,4,786,506-1611,yes,no,0,3.0227915741318814,3,4.618245487905577,3.4205602584500148,2,2.7491339271560307,2.420696810647498,150,7.0381482381750216,3.550618144282959,5,1.1677462887278407,9
-LA,7,766,637-5686,no,no,0,7.813902173813165,4,4.721282771917321,6.527805421728615,0,7.698687307694743,4.161040022133834,150,5.801331177184276,5.443102402562207,4,6.588595487011808,6
-DC,102,686,527-6843,no,no,0,8.651704897975973,4,5.1866007508430165,6.780104064747965,0,6.934041234960438,3.847580776993169,200,6.2951732690801325,6.468431918166625,7,5.9717277843210805,4
-FL,109,707,901-1780,no,no,0,1.8995361696116941,2,3.660769765267195,3.0790719798948616,4,3.4152620635090787,5.381397036199116,250,3.913216282546621,5.181066106880653,4,4.981799977544126,5
-CA,89,676,983-9540,no,no,0,3.261827484605388,3,3.5589013962350826,3.8842211813292415,3,3.3446038111045366,6.125512785222713,100,4.9998537245052335,3.7747878031467663,4,4.15041538669155,7
-NV,158,788,660-5609,yes,no,0,5.877840933189753,3,5.915262387527704,7.0363703787770095,3,4.5625688336018,4.101990077489502,300,6.210365577825911,5.205866050816193,4,5.630860025748657,5
-WI,13,877,955-5871,no,no,0,0.7047045157893921,5,5.5720971662303675,4.4356921739334885,8,2.901925902714518,3.7023553646678087,400,1.9944676547370688,5.338271558287612,6,6.175890882716218,2
-NE,85,786,234-8692,yes,no,0,5.433399454263951,3,4.394718237475968,5.875348318677767,2,4.783520299098917,4.8287335966716185,200,6.019254362699917,5.173350556864508,5,3.448300820673063,7
-NJ,57,787,863-9938,no,no,0,0.8713188174444007,5,1.9366620368716632,4.944471745170877,0,3.898281178500732,0.816911313765285,450,3.2440249598328244,4.75343629787595,8,2.375425232682411,8
-MI,144,777,392-4827,yes,yes,900,0.4002096324278757,3,1.5626009445542288,2.4933982478853376,1,5.076349411947149,2.1011523001606625,300,3.1186237991211714,5.492713486219811,8,2.9776410778079727,7
-MI,88,777,970-8791,yes,yes,1000,6.512409117058503,8,1.5293845128950518,7.436385073552276,2,6.809246936935773,4.96062975809133,100,4.917024594863072,3.78515090262428,7,8.930703419282505,3
-AR,128,658,615-9022,yes,yes,300,9.226466415155492,6,3.709971403068081,7.153196814714036,1,7.293492624342065,4.50796922205483,150,7.916117150401561,6.048436315729601,6,3.4934019737018764,5
-ID,113,736,599-8507,no,yes,600,0.5186814408540803,1,3.6708701661562113,1.4516128869210243,0,2.7051600207052973,0.9956224575657622,250,4.7870105915593735,7.039914108260103,8,1.647139106545792,9
-NV,1,788,738-6605,no,yes,500,7.035723044342184,5,6.277453632780246,3.1362825894771813,5,6.927778990410544,5.106847214458711,200,5.2048928186345185,5.518661227431963,5,3.34309171284934,6
-KY,125,758,763-9661,yes,no,0,2.664034998152359,6,5.837417410265112,6.888280675427186,8,3.1764052123327198,3.853929540175384,300,3.2343413749089662,4.834016233602172,5,6.6165002249195535,3
-OR,25,798,426-1821,yes,no,0,0.26206355231521616,2,4.763932098254118,5.825215898817418,7,1.418634006514197,5.012207192622956,300,1.8625090229232848,4.1691268332696545,5,7.172895434188782,2
-ME,93,776,955-3740,no,no,0,9.08180257264415,5,6.3168616995168,6.22739704926525,1,7.925904183310897,3.3613547547489553,150,6.537058886749593,3.4885024609119304,4,5.736248910534988,5
-SC,29,836,618-9811,no,no,0,8.550258478043869,5,7.0814329400165965,9.025504632192057,5,6.228384411293617,5.642108932929898,400,5.754996506457433,3.8831577116576583,5,7.57775933926545,4
-RI,153,827,850-7024,yes,no,0,5.9568566138622,8,1.2057277638275696,4.32727826795126,0,6.830643970392408,5.4555824192346,0,5.926160320441875,3.155718017234377,5,4.809642648700075,6
-WI,17,877,889-3471,yes,yes,400,3.2240111909092093,4,0.1905245797439461,1.408495818211131,0,2.9855502277906565,1.8935879278902723,100,4.110090271111158,6.176852273622592,2,4.469010769742192,6
-NV,154,788,578-5244,no,yes,100,3.4964617516715983,3,6.670102829046768,4.4550010539412055,10,2.2983304280878256,4.7598474951082315,250,4.989122395918718,5.933721794746416,5,2.745603129411863,4
-MN,136,777,217-1912,no,yes,700,1.3080840351670373,3,2.593380523277255,3.5316437075482323,2,2.3513223200169433,3.799771831628848,200,2.3115051597857206,6.146108401779194,4,6.897427166387121,4
-OK,173,797,483-3337,yes,no,0,7.7532078622997,4,7.013515006749633,5.452145221535527,5,5.860501606823447,5.791066599757472,150,4.3618001520175955,4.0886213820389345,6,6.628982493553468,3
-TX,18,848,407-6960,no,no,0,2.8378412966328157,5,3.1000144979667743,2.970262205973612,1,5.492436007153748,3.158801580245888,250,4.445534129626168,4.8010370780400144,7,2.023444793354263,7
-ME,54,776,102-8915,no,no,0,4.610927111887566,2,6.06399256959015,1.9763064961344288,7,3.5250381464273137,6.1635422242471005,350,5.389202983778559,5.003811612053871,7,1.6613667081027073,7
-NC,45,786,583-1263,no,no,0,4.955678430284423,4,2.9188446218209783,3.6086602043253686,0,5.751033033464199,4.192519520879756,100,6.157929632115182,4.4819815948433845,4,4.1182781872327485,6
-DE,191,686,549-4838,no,yes,100,10.809770208907947,1,9.29524400451782,6.764282376455016,2,6.094930113549955,0.9036315191365104,200,7.960701528197688,4.5634012608910455,9,0.3399348972995364,7
-OR,96,798,157-9505,no,no,0,10.076859792679834,5,5.059521568685853,6.031765127448112,1,6.528740078270688,4.7742204042250815,150,7.551077251456738,6.102320019941829,9,1.9502519079531597,5
-TN,84,847,451-3632,no,yes,100,8.45815357700646,5,8.861503697941552,8.682300707596433,7,3.4354227791913523,2.647955010539226,300,7.7352055248062195,5.082978310171564,8,0.7028920894593957,7
-MO,22,777,595-1802,no,yes,600,6.890162616224347,5,4.706604578078037,4.817397288043249,0,6.932213729062383,1.6795806997180076,150,7.232101683334546,6.5136309213073735,5,3.2714964443977825,7
-MT,37,778,100-2118,yes,no,0,3.210323192870685,3,5.761634957720351,2.8380838619023963,7,4.169431600635504,6.5361866720375845,400,2.022024122706042,5.773999190696544,8,4.450284300529052,4
-MI,38,777,147-8394,no,no,0,6.822590482029768,3,5.385260269510776,7.7929314648132975,1,7.051516185839588,2.8810506545850987,200,6.173784454466839,4.506014997474465,2,6.168940430994395,8
-DE,173,686,659-7738,no,yes,0,0.271664640878007,5,2.635833821739461,2.2568734479858223,6,2.6126316879220037,4.243697707735894,150,5.318214504818684,7.084318686779403,3,0.003136424830546325,7
-WA,42,876,392-2801,yes,yes,700,0.8131861697317699,2,1.876813308450615,4.590444440725841,0,3.0332904317925014,2.357787021823291,250,2.648314796950491,4.7829287922398835,6,6.360088945255412,5
-MN,49,777,562-2182,yes,no,0,5.828361275360153,3,7.724504155491214,4.219746152789253,8,3.3866519060450173,3.3388731335872115,250,7.135927221600614,5.4297190912171365,6,0.9078212561593072,7
-VT,116,868,381-5519,yes,yes,600,0.5823760107517266,2,2.265831186586161,2.4258563220146043,4,2.657055815527853,5.305667334323289,450,2.476386787099518,4.730187094912257,8,0.7457148493655268,6
-NY,129,788,412-8403,no,no,0,3.0954430021664106,2,6.538528499478762,5.056352271301418,2,4.130796650127066,2.2131367467208567,250,6.149797333695135,5.994576515896781,0,2.7331888724215387,11
-DC,171,686,606-6515,yes,yes,0,0.862383455900158,3,3.844473779012524,3.8255836183364087,5,1.500909388218607,3.655569048802117,50,5.579954478752384,4.2367776969432,2,3.515345186098662,5
-AR,133,658,977-3248,yes,no,0,1.2891264874602242,3,1.3843109091050376,3.2910235297231067,2,4.7532704954895415,3.1923516688672486,300,3.9456040501875647,5.584253108977127,8,0.5390419716608141,9
-IN,187,737,190-8731,no,yes,900,0.13892182034030487,4,5.268611088197552,6.079206621645447,7,1.772636435079049,3.8946378005396416,500,2.09929988577116,5.426342761967238,6,6.544152484579613,3
-MA,54,776,380-2832,yes,yes,200,9.556991277954754,4,9.070065127432343,5.366552793694648,7,6.276323229841863,5.504446124930505,100,3.8703247966771306,3.5894790276686583,7,6.59834663723821,2
-IN,130,737,769-1269,yes,no,0,4.890967273355134,6,1.3327837496485735,2.1877424167034887,4,1.9171671615423136,0.8684157387859449,350,2.8119032274572504,4.906949372301189,6,1.953541251464982,5
-PA,62,806,193-7252,no,yes,700,0.3726074241722559,2,1.7891602405271123,3.2023308309728207,1,3.7477951371187386,0.9369399471641912,350,6.162494955832609,4.785624490269837,6,0.31737023054418323,9
-DE,176,686,760-6176,yes,yes,300,7.370589433750022,3,6.0464764777728615,5.4953890624108865,0,6.32260642232227,2.7693563032703787,150,6.280025569174656,5.7444432413047775,5,3.841118170023336,7
-NC,9,786,740-2648,yes,yes,300,4.26318208768768,3,6.876029998591488,5.929459611495976,4,2.5918559257888423,2.6543907357412726,200,5.469100353790403,6.153142388441356,7,0.9783902525854398,8
-MI,52,777,299-6845,no,no,0,5.94605924665029,0,5.326247980152328,1.2722992961624024,3,5.553139520340509,6.8723929374647765,200,4.4745591369978355,5.62843760260301,7,2.8364644998943502,6
-PA,100,806,586-5649,yes,yes,600,4.959561194189668,2,4.1913985033947405,2.187487281585367,0,5.69856107062118,4.086557793133042,200,5.783319808256823,3.908150948254717,6,1.8350402816282452,7
-WA,154,876,719-2936,yes,no,0,8.300781924816599,4,7.500057579743114,8.452148804697984,2,6.082789421712185,4.128373678913023,300,5.313464964866302,4.876769153332254,6,7.182106006449684,6
-NV,115,788,619-8855,no,no,0,1.6350202966992071,5,4.127240155398338,8.33756949470823,0,4.212890455213117,0.008467736721087249,350,4.309309789297968,4.688275281706131,5,6.428128249974615,7
-MN,125,777,958-9107,no,no,0,9.018501887867584,4,4.5908321128817375,4.54322365532629,1,7.402633220235001,5.975630297584868,50,5.634614370485162,4.234074467305552,6,5.914034275065028,4
-CT,199,678,111-2033,no,no,0,0.6635820313192715,4,4.7024442138045845,5.412427159179279,6,1.8489357247815972,2.6710653340351582,350,4.801411688591745,4.2776049930366895,5,2.9452925754781307,5
-MA,113,776,926-2515,no,yes,400,4.9817756272724925,5,4.378158720031672,5.438220382514774,5,3.4926772075410213,5.94067106847045,200,5.875022841219977,5.142564197094288,6,2.1693466183546306,6
-OK,57,797,782-5146,no,no,0,7.77276761915093,1,4.974706095053813,5.999129280010664,0,6.419079573531183,3.9848791111426567,200,6.328862915789277,6.124351973464786,6,4.3979252455522335,5
-IA,41,736,572-2883,no,yes,0,16.07060659616391,3,12.17417236521136,8.09160772616227,9,8.297620400131485,5.406542352487855,150,6.135542276680621,6.446047527503112,10,6.322497534889633,0
-LA,27,766,818-9152,no,no,0,9.507933468369474,3,6.780948568461651,7.278036004700785,3,7.361025833105375,5.948237693397425,200,5.437591785573323,6.457374612715896,4,7.411336320609868,4
-KY,90,758,973-7164,yes,yes,200,10.634534064760151,4,7.208709081507982,6.097090687616569,3,7.184867720467503,4.604562982388379,100,6.9713671105597355,5.060785581621881,6,3.741750335291232,5
-KS,43,758,377-7600,yes,yes,700,2.933386062013211,4,2.0676374091981007,2.9677048815039164,0,5.492772236360171,4.227896210810012,100,5.298410664689428,4.859936321295276,3,4.953888963676446,7
-KY,17,758,799-7444,yes,yes,300,1.6688495880983556,3,4.419330067654432,5.417520272785157,4,0.7229844445376709,1.0981876817281413,150,2.609013313858778,3.4639617165178738,5,5.675513664647077,5
-MA,161,776,842-6463,no,no,0,2.6106784459421863,2,4.707761898797112,0.5969239180905346,7,3.3075820244646232,6.298453121022314,100,3.8345206686438367,5.951866192251277,4,2.9849524885993834,4
-IL,152,737,729-9696,no,yes,800,3.8012422196140014,1,6.115843104271387,4.246514652597428,6,3.0863906900803717,5.071615310190817,550,4.76205669386275,6.80765591063266,8,0.7608193866056716,7
-CA,25,676,362-7922,no,no,0,4.573263772613472,7,3.695377134356822,5.321278450952536,1,6.54109220345375,3.665204121297152,350,3.687017234538255,4.1604235341781735,9,2.8197050493861133,7
-IN,101,737,583-5864,no,no,0,7.807451515655797,3,7.540108939123148,5.272054466193652,5,5.556353881265353,3.856629430464515,200,6.978976651671647,3.8325087957395385,4,2.83189904623975,6
-IA,109,736,493-4587,no,no,0,2.4156767528567444,3,3.5196869490233302,5.2666561647966965,1,2.936771768533078,4.108227700700324,200,5.442857259737047,5.263973401524728,5,2.220411361797572,9
-ID,25,736,721-3700,no,no,0,1.3483675417238024,5,6.851924808836763,7.934828307148602,9,1.0148649008332873,2.4983255758229856,300,4.4234981196561405,5.676536337338775,3,5.896234140743211,3
-AK,112,657,736-4571,no,no,0,1.6827671375164073,2,4.7590159875697315,3.7762635722917848,9,0.7771433118836608,3.821601098284504,500,2.0491223898059316,5.647632773493849,7,4.33462723021227,3
-KS,44,758,105-2064,yes,no,0,5.840911055261175,4,5.276852995324764,5.977200601357111,3,5.471186799766404,4.709276545855191,200,5.212275586448575,6.53639739680836,4,5.9598103489130905,5
-UT,197,858,220-4834,no,no,0,7.029229329855267,5,3.8871275644693593,6.372048692126915,0,6.5380329184458255,3.3290743815814334,200,7.406784763314091,5.232433842389284,5,3.0586504080486967,7
-HI,82,727,668-4658,yes,yes,400,1.5171268259451351,3,4.960396447240738,3.818127660881741,7,2.8452129262377506,5.212225937608078,200,2.215886397239573,4.852983573082802,4,7.243543342328013,2
-LA,4,766,665-2777,yes,no,0,2.763910518634217,1,4.895452847153866,4.79006405202649,4,3.1502771809188665,5.691344225793038,150,3.5867780909885463,5.502857355252923,2,7.729910646123762,4
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-NE,102,786,661-5919,yes,yes,300,7.020814898744295,4,5.403034523096756,4.665734191241544,5,5.774171325724037,7.180883201132857,150,4.705315114026671,4.7320428171531645,4,6.288276332654653,3
-IN,173,737,859-8416,no,yes,400,6.8772607408497075,3,4.947022466385684,5.793826073584316,0,6.213738140321745,3.584805475198415,200,6.630874265613612,4.358287914287028,5,3.8533569123788305,7
-PA,76,806,102-9284,no,yes,300,10.688140142907926,4,5.7228712535308945,7.06012311358741,0,7.953672661111604,5.547622105480233,100,5.62014734353317,4.869295436591144,7,6.985327558766638,4
-IN,51,737,206-7168,no,yes,600,3.41497868031772,4,3.2722311952674823,3.999917769018533,2,5.248537530692404,4.71952316623721,300,4.493278813183963,5.011037336910985,6,3.4018297188882785,7
-NJ,157,787,661-4753,no,no,0,8.827114226922525,2,2.6316241787787797,7.050658806176587,6,9.384373895415226,2.287016774512357,200,7.013713426275444,5.347121641718231,6,6.878579370247596,6
-MT,11,778,871-4063,no,no,0,4.689810610572484,4,5.427445474321332,3.2863063446026186,5,3.0432549671696623,5.1356902020687905,150,5.989001652327781,4.554568054801316,6,0.4964524276293085,7
-AR,139,658,811-1085,yes,yes,200,10.613208253275491,4,6.476475786157683,6.600193427677518,2,8.665675849154532,1.2830837609662926,50,7.376030866003264,4.165250065579992,6,4.559438955075369,6
-IN,48,737,237-5795,no,no,0,10.983971494359288,4,8.031550997857401,4.61255277153084,5,7.496165700982616,4.6476245807328205,50,6.473860814303386,5.7544104208805305,7,3.631923392649837,4
-TN,196,847,389-7073,no,no,0,10.116189344367724,2,7.5982050809990564,7.101833874085107,1,8.010905992152448,2.086303297179572,250,7.884224121407856,2.1823671374236304,4,4.327361732151574,6
-VA,102,866,492-9162,no,yes,300,1.3363303518442242,6,0.5212972233721498,4.115880174748177,0,3.7230289207986313,0.9384902279193464,250,4.338407257945279,4.507728017054305,5,2.4283743687031314,6
-NC,6,786,562-2334,yes,yes,300,6.996178254003547,4,5.4393381630013495,5.50094691794142,1,6.515298869571755,3.5201379984013244,150,6.314516242576429,4.257430557961963,4,4.2925071856759285,6
-CT,25,678,390-7926,no,no,0,5.570710199660881,3,5.336222890621482,4.44985026776725,4,4.379094129430185,4.768527076421822,150,6.446785215775347,5.319843142180213,4,4.049611436722486,5
-SD,42,836,941-1762,yes,yes,400,2.4453987475090955,2,3.1693561026385635,3.4238652181119678,6,0.7831254271470023,3.6475793748086702,300,2.8169821683496474,5.0646653895971205,4,3.707791262719304,5
-CT,119,678,143-9045,no,no,0,6.7702424672176615,3,5.290361915622826,3.996483558031151,1,6.145734419038758,3.7688656873068407,150,5.850592675051127,5.111488005505006,6,4.408799606386485,6
-PA,129,806,755-5813,yes,yes,500,5.1743189948837385,4,0.7076731723539336,0.24700439554894515,1,2.380792696178061,1.79685837743258,200,2.581016088827744,6.213403175893767,4,2.9212764210322137,5
-MO,54,777,158-4806,no,yes,600,7.431214688257048,6,5.031189183200247,8.664354003635532,3,4.929427803663039,6.507717320597577,200,5.1418785746321385,4.720422865441272,6,6.499314520159111,5
-WI,126,877,225-3592,no,yes,500,7.585603773811016,3,5.817759642678306,7.084055638245013,4,5.826790981217472,6.7098453948963925,200,3.043492226483273,3.7819264070029317,8,8.36985303588802,2
-WY,196,878,382-2682,no,yes,700,8.381617771813985,4,5.619012425514773,3.1876502969347,2,7.222649679712989,4.407070738703129,300,6.680550109727102,6.403685192887102,9,1.3763226909262531,8
-OK,97,797,688-3453,no,no,0,6.183521303981707,4,6.464915112735008,4.8276686030482665,4,5.092974886382646,4.542723240633612,150,6.5104277596591285,3.785107605141928,2,3.411037510161901,8
-NC,83,786,796-7006,no,yes,0,6.645367351802324,1,8.437964925588815,5.585801854434272,2,3.971485194592924,0.9680983050587396,300,9.264344818758737,4.2450036937485605,6,3.1254587665112514,10
-DC,153,686,991-8107,no,no,0,1.20623548893346,4,2.8462611972883014,1.3853959509646443,2,5.296554029045752,3.775674463107123,150,3.2083470645444043,6.689473014114991,4,5.200984423758729,6
-WY,196,878,127-2074,no,no,0,2.704646470067529,3,2.8243992712817017,3.3536884090422787,1,5.25016925787838,1.7243179149019277,400,5.443894740999365,4.302155186045193,8,0.07588248873547343,8
-KY,85,758,731-8672,yes,no,0,8.435409126955232,3,8.040246273299367,6.258589969501218,5,6.803776030436772,5.685629374772573,150,2.5220946759778533,5.1565448015113615,6,10.308930514160698,1
-WI,51,877,116-5522,no,yes,800,1.952869319910292,5,1.4601463112419566,5.063010436461789,0,4.47684247159435,4.946833187893371,200,4.173515676979375,4.213126669784336,4,6.0428339794611645,7
-IL,71,737,677-5480,yes,no,0,0.6697095517254441,1,3.915176068632685,1.6419789255668338,5,1.1847390221333018,2.724645615378789,250,4.314119814932295,3.665855193562941,6,1.310581959066358,5
-SD,138,836,877-6153,yes,no,0,3.2338353810618186,0,1.2743009739426974,0.3033029000156073,5,6.097943783065723,3.2265159566482704,150,5.258450962976613,4.69379217061984,7,1.3881403842309248,9
-CA,9,676,387-9272,yes,no,0,3.1479750885870947,1,4.704551575872962,4.870030634144094,3,3.305366011760253,5.2459215669086845,200,4.805012955945586,5.077515678653115,3,6.417109549008298,5
-NE,16,786,397-9038,yes,yes,300,4.470639118960683,2,4.499985728472528,5.017690097096623,1,5.039866075590781,4.626834109052097,200,5.756909110177549,5.465103418544816,2,5.081619052775896,7
-WY,77,878,234-8919,yes,no,0,6.110680751648735,4,4.180437105890348,6.284736002415341,0,4.284926975292424,2.8225351662693825,200,7.970019800860166,4.527433224152553,7,0.08379220426540446,8
-CA,39,676,529-8323,no,yes,900,1.2758003169978045,3,2.6447759035180365,4.56670993853592,0,4.451396860601768,3.3699927317583382,350,3.602879750333426,4.578296819857527,6,5.47728507816721,5
-ID,154,736,454-5713,yes,yes,700,3.2311360982837365,4,2.2768551660470733,4.442935340760483,0,3.0590215889275623,5.523245511829674,50,5.2187206029841935,4.618705854733318,6,3.3607271107229737,7
-IL,90,737,953-7701,yes,no,0,4.922486628815761,2,2.495419594987666,3.5714571327346283,2,6.325380745394868,3.02763705814394,150,6.301221106842197,5.4503531980792745,5,3.827604300961178,7
-DC,51,686,411-7347,no,no,0,9.789573137155363,4,7.473473256364164,5.861766401092924,7,6.312680402969688,6.2473525459582175,150,5.406783997589012,5.593974770844236,7,5.665272099672546,2
-MS,99,778,680-3438,no,no,0,4.039720140545286,3,5.435394566401602,4.496564014495089,4,4.234502889335187,5.106715819926106,250,3.8914747706027786,4.868191961999052,6,3.808912754744192,6
-MN,158,777,641-9949,no,yes,200,8.852173860744877,3,8.124432520674022,6.4293454272480925,0,5.226983701123853,1.0234501562021758,200,9.257414560382001,4.614665148827862,8,1.8629546492723064,9
-WY,191,878,872-6425,yes,yes,600,6.680561436589856,3,5.0698418797435085,5.565763278755332,0,6.091697120430764,3.42773981317948,300,7.3649112878115535,6.0188646907573045,5,2.352642066884444,9
-TN,99,847,433-2679,no,yes,200,6.2109738469025375,4,6.077729615517678,5.928818788853415,5,5.169044004027239,5.530901118499331,200,5.148211950820453,3.5282653768585384,4,5.208804042796038,5
-RI,114,827,916-6213,yes,no,0,4.451476427222397,2,2.4031459643763045,3.897725466493637,1,5.2156394998002025,3.872894226009035,100,5.79023816662859,5.494824894230238,6,3.214822014669753,7
-DE,20,686,669-8926,yes,yes,900,1.7339492478034209,0,4.082307835255875,3.274847417815822,2,3.0885090034681864,3.556915899728798,350,4.3257809848196205,6.501046979240647,7,3.2105258161316312,6
-MS,193,778,186-1559,yes,no,0,6.3321627066019675,2,7.254260125824961,7.978815806167819,5,3.0335127964326536,5.354838889839735,150,6.811448471610857,3.917015387080229,1,5.899886355110568,6
-MI,156,777,362-5545,yes,yes,900,11.726580380517815,0,7.134272862911602,5.806229459041005,3,8.03706152897929,6.034397435499282,200,6.402998547615577,5.475845505708853,7,4.943472172358691,9
-OR,198,798,323-7038,yes,no,0,6.107733987443155,2,5.115415791334071,6.5542786055314695,1,5.736524588296528,4.7721463743856365,250,3.8831452012461463,5.032975567497666,6,7.489060003149477,3
-ME,147,776,877-5166,no,no,0,8.947519760024722,1,6.590421314697622,8.260493728568562,1,6.894687298724158,1.1917496550639919,300,7.025189244690534,5.284893322560008,7,3.5473569208196998,7
-MN,140,777,628-9975,yes,no,0,10.145694008067851,1,7.404036898871343,7.749227306083065,1,6.897885699568765,4.118484113378267,200,6.519436650875341,6.529197033431621,5,5.4583734270447675,5
-HI,134,727,959-7593,no,no,0,0.1531755682416227,4,0.9509408266489334,1.9628036136122382,2,4.042258207782177,5.363325717274781,300,3.6047744264483863,3.881205427388447,6,2.305600617676298,6
-MT,184,778,815-7171,yes,yes,600,4.190325750548408,5,4.764355154236711,5.913482560191264,5,5.111730557634964,5.3440765763885745,350,3.5277894117126984,7.395988932765015,6,5.9710012672819515,4
-SD,146,836,707-1092,no,yes,700,1.0699913129173373,4,2.5216868225761884,3.634205619371449,3,3.174766318301792,4.638848462502077,350,1.4250463974463354,5.841485318222248,6,5.554751585842468,5
-NJ,172,787,262-9339,yes,yes,300,8.040837019861915,2,5.529717222769488,10.123678060664508,3,7.1929939907369285,0.0136750570626889,300,6.817066468702111,5.696785143169713,6,5.5671628010660275,7
-AL,147,657,985-6892,no,yes,400,5.197832608292192,5,2.4454353106681683,6.321280543933318,7,0.013572801484325936,2.6726332679307347,350,0.6043181091415448,3.221425079130088,3,8.020365803692425,3
-TN,60,847,510-3983,yes,no,0,2.7287486849161917,3,4.033408415388749,4.12530203624668,5,4.149940147098689,5.938446262023184,350,2.691031600120491,4.6677914302296895,7,5.190563718453139,4
-CO,184,677,369-9612,no,yes,0,0.3847384964604528,6,4.146309360228641,4.839384123579157,9,1.7926637081549504,3.727026590203747,200,4.983408769467542,5.0717987753148375,2,3.042096056075718,4
-MI,88,777,751-9539,yes,yes,100,16.15476474789925,4,10.701590011509364,7.5311946073335,3,9.976284242273591,3.3752958646190043,100,8.009715513839655,4.157852728381031,7,4.9264994463714205,4
-MO,38,777,705-4820,yes,no,0,4.004634815459188,3,3.128113408912391,3.3682563753900285,1,6.095393127121088,2.795555742567414,300,5.172559466763469,3.6225437290088136,7,3.1642687613318317,7
-MD,92,776,327-1802,yes,no,0,0.6025410064499974,6,4.267897678780158,5.282869321518564,6,1.5353187088787388,3.705067265648223,250,5.655108644065432,6.495464836590528,3,1.5049869955321626,8
-TX,7,848,627-7854,yes,yes,300,10.201128793454947,4,5.570634649569062,7.89136140796127,0,7.379606964969307,4.372409476780572,150,6.472354404225861,5.268057853504796,7,5.645781648907162,4
-MS,174,778,425-1215,no,yes,300,9.15643926640147,4,7.592479187765668,4.990386121012214,4,7.1426525565633465,4.34222485411354,150,6.0796704830743264,5.07521679877205,5,5.0449558679601845,5
-MA,70,776,627-1168,no,yes,100,7.778082954576735,5,6.074007147808592,5.159253844956441,2,6.106988730918242,2.0530120753822487,150,9.092194414675529,3.1184864357758264,4,1.0144697119564237,9
-MN,114,777,846-7686,yes,no,0,1.810281108859937,5,5.471538216514191,7.386045880851581,7,2.60972500874155,4.132291491799261,400,3.0704626226473315,5.226896438451855,5,6.597786286766674,3
-LA,169,766,372-4774,yes,no,0,4.879948882932551,2,4.2668656250528,2.0647853930505513,1,5.164333401540246,3.6324326227548207,50,6.390789134423142,5.214015865581167,4,2.4466446099783843,7
-RI,184,827,602-1361,yes,no,0,1.022635234408312,0,3.1210304400614097,3.473558305588898,1,2.084967941240068,3.722717597416772,250,4.96142862219791,5.295154528247284,6,0.5462063257136931,8
-WI,136,877,989-5877,no,yes,300,0.2756175095079092,6,4.375496353569607,4.002681462433428,9,2.5234385451722168,4.4099716901548565,300,2.3905739818940135,4.526617598609913,4,5.3361999738164725,3
-RI,69,827,945-5965,yes,no,0,8.629501571022116,4,7.014150215634524,7.388629567832543,4,6.033829767598382,4.611753896442627,250,5.795004577194951,4.1933910529522835,6,5.477618371416893,5
-NY,165,788,510-3083,no,yes,400,4.82524553823699,2,6.289585834262626,4.765333573908987,3,5.169826308797222,4.136637640188941,250,4.4028152227290285,4.2099411574205,3,6.194326841046285,5
-ID,164,736,627-4203,yes,no,0,2.841711240323891,4,3.784123840215515,4.996470549016214,0,4.779831440310247,1.950276097445636,250,4.986385457925365,3.7363396973032565,6,2.5431820640166896,8
-SC,198,836,585-6006,no,no,0,4.075678422706412,1,6.680830362803477,4.516483860660772,6,3.0568903147471653,5.4174014100438725,200,3.541902663992312,4.49985288052812,5,6.537549432011037,3
-VA,139,866,965-1026,yes,yes,300,6.719083910570626,3,6.422822349774592,5.300308775229246,5,4.375667004803221,4.100701979576547,200,6.245223335235537,5.398818882000529,7,1.7238992333085572,6
-ND,54,786,350-8749,yes,no,0,3.9909059046469055,0,5.776527997118312,6.48977329266466,1,2.8450056107613126,2.449010160888625,300,6.632736815340628,5.6974628164421555,5,0.7005436421663642,9
-MD,57,776,347-2507,yes,no,0,4.213137911325863,3,4.028880809464665,1.1097720467487862,1,6.118158868979702,4.259965821580112,250,3.640986424873277,6.038656134197497,9,1.7527852384058682,6
-OR,17,798,592-3229,yes,no,0,12.259601451472838,3,10.771754598713198,5.571467953408653,8,6.4379629741756235,5.283190375795959,100,5.612020713992918,5.352967360668142,8,5.33176113452889,2
-GA,78,716,984-3154,no,yes,400,0.8013816891691237,5,3.467836197603673,5.179727953555327,3,3.282794764318872,2.0091720709555743,350,4.8841611173862765,4.6429452012689225,5,2.1698671894365367,7
-TX,41,848,153-9827,no,no,0,8.800358143248609,1,10.119550011224863,6.2839880806724775,5,5.630695219192952,4.342426718064777,300,4.680308979018507,6.29099311008313,5,6.064128291079109,4
-IL,35,737,357-5875,no,yes,600,6.47721606332537,4,5.1073658095772,9.616212273486466,0,4.444840841763231,2.349323405426873,250,5.225984778473117,4.350376904090019,9,4.743926269432791,6
-KY,80,758,155-2010,no,no,0,1.085652294078468,5,0.33367996149710155,5.405487403007681,2,3.2296117001294933,3.044118363987888,150,6.063850167595732,5.134650126014571,5,1.9073415548583164,9
-AK,51,657,573-2481,yes,yes,0,8.03785547407502,4,6.555691302508134,5.523507323549699,5,4.642962163504993,4.4283499225229335,200,8.806191965635316,4.319411027267177,5,1.0675171120966898,8
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-OK,73,797,514-2443,no,yes,400,0.4603966352369513,4,3.806481751914614,7.083959975285798,5,2.3160193073692885,4.152787577630502,300,4.038093254699104,5.29867571230666,2,7.1163945871268295,5
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-AK,187,657,615-6775,no,yes,300,8.975678846618019,5,6.049288502967707,4.742652788894209,5,5.654693949984669,5.2756136269105225,100,7.410892922332614,4.3256656694270506,7,1.8119477894221885,5
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-HI,176,727,267-5705,no,no,0,3.058831299661468,6,5.203652937034891,5.975631483342487,7,3.7577044504856114,1.7419321111771513,350,6.173037406927827,5.437170930196174,5,2.2313137405075345,4
-VA,30,866,777-6590,yes,yes,700,0.8966193027653286,4,3.1091041217013697,0.8279290099842012,3,5.288345813889373,3.5494778099649458,250,2.509056409574744,5.182203513156184,6,4.243477639835897,5
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-IN,97,737,941-2629,no,no,0,12.271248068915966,5,3.941443728184335,6.0171286505968204,3,10.738290829375892,3.295285786363808,50,8.702396280809468,6.889235262534718,6,4.7588140638414815,6
-RI,88,827,989-6243,no,no,0,2.1216931869051177,1,4.41660186329958,4.071063694971662,0,3.821031704683948,2.551061617387336,150,3.214548428543569,6.392443482788724,5,7.936269975644034,5
-RI,36,827,592-7116,yes,yes,300,3.1462119800769948,5,1.624396653906194,2.352194290913605,3,2.663619967521752,1.636909517431408,250,2.7038841890420517,4.142548762355132,4,2.725104750172695,6
-MT,38,778,378-6451,yes,no,0,10.185852184403608,4,6.426237465811669,5.787099426151746,5,6.883013203750954,8.616245660217228,250,6.341182912038348,4.200116112784716,6,3.2736320208923653,6
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-MN,108,777,355-9197,yes,yes,300,4.566259212043191,3,4.951987289722283,3.0704775147551664,3,5.133985459051585,5.0204490284411225,200,5.810440609433085,4.692714829223918,2,3.1652987966377664,7
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-OH,24,797,589-6750,no,yes,100,14.25382737524436,5,8.563665939763531,6.07287639120956,5,8.355626888342481,6.0229788025314175,50,7.369811493727852,4.288317391384141,8,3.714932007823213,3
-NJ,145,787,179-6967,yes,no,0,2.256407751856981,2,4.832593510574748,5.021866774268167,3,2.894228716494088,3.0280598415072215,200,4.4846405484138465,5.09872936806192,4,4.846033552590052,5
-IL,28,737,560-6228,no,no,0,14.037128927826815,5,10.308189422949534,5.439055109639707,7,8.236136235243906,4.200904383930812,50,9.072213820377954,4.884758868900336,5,1.5110270588272232,5
-WI,106,877,323-1308,yes,yes,100,7.653353887444976,5,9.140966456248158,7.1308919175731615,8,5.658817058788568,3.937153735387243,250,6.057965922706561,4.8089718508207575,2,5.081949755335705,6
-IL,42,737,473-9594,no,yes,1100,1.2283379150516651,3,2.5264254436952864,4.8052057380515345,1,4.868434498351531,3.2122751215227776,400,2.278131762042614,5.381751619528207,8,5.963184504112599,7
-CT,177,678,476-6926,no,no,0,7.644222482994916,0,7.982207113774563,5.6199288386587085,3,6.55498173407852,3.402904076284024,350,4.878632233015782,5.4780147387506615,5,6.624511016218432,4
-AR,200,658,852-1749,yes,no,0,5.611577985217248,5,6.3812957046105305,6.350726266495867,6,2.3498760662415505,4.2829921567451485,200,6.382919131302823,6.651132663488573,8,0.2598822025310055,7
-KY,82,758,440-5645,no,yes,500,3.712336644077231,5,3.816621791314422,5.805846283664493,3,4.6647523046501815,4.663439835958335,200,4.907125693295003,3.855914634394417,4,5.359571618350484,6
-ME,175,776,332-6871,yes,no,0,8.300567139202844,6,2.856594061410705,5.910682599645735,2,8.518384153045364,3.6079250954540245,100,7.350490249205951,4.496332727982808,4,5.425624672037102,6
-MN,180,777,236-5726,yes,no,0,3.4128261428133086,0,3.175822413048558,0.6648612707408894,5,0.9786003751414932,3.4034835184231107,300,0.3951110955506678,4.973732996893528,9,2.5006073843385908,4
-KY,174,758,497-3435,no,yes,300,9.151503364224697,5,6.7529088858349295,6.1805252379372275,3,7.719139464328302,3.776623766214304,150,6.531206297512088,4.419992141308956,4,5.805070768575416,5
-MN,38,777,714-5318,no,no,0,2.2361486590867217,1,5.261454722274962,5.6446301629042726,2,1.880141489201935,3.0789311330268063,300,5.5987987617169885,5.6980185820174745,5,1.5043149311669977,9
-MD,64,776,107-1287,yes,yes,700,2.755454692442875,5,1.1310803404614065,0.12709954232873422,3,7.346537828215403,2.1037081632533154,200,4.828860470203783,4.514405571766232,8,1.0513501384707435,10
-DE,150,686,907-4745,no,no,0,4.4901677881452,7,5.167150054986639,3.193135993524721,6,3.4228344140366227,4.9135895221200565,50,6.049132967663665,5.547786797402779,5,0.9653018579463309,7
-AZ,46,659,974-1936,no,no,0,9.232791311403512,3,3.0540259462089763,4.490783338661503,5,9.141569845060284,4.684640594735362,250,7.48114366815245,5.809115684624972,7,0.6681054317356727,12
-RI,158,827,150-5565,no,yes,300,7.580973163281023,3,7.770646785914714,7.351068242981182,4,5.991996260180903,3.7712075476501488,250,4.67944469029824,4.256964479560808,5,7.017032323675983,4
-NM,49,787,274-4764,yes,no,0,5.801117491852767,6,1.8081920503674611,5.701460981474358,0,6.469122074952298,6.1671989806287195,100,4.3803845262792125,4.625088449983417,6,7.358229738334296,3
-AL,193,657,222-3820,no,yes,700,7.72872358414659,2,6.131237280726332,5.809934231593928,5,5.5195471085238985,7.438276256734929,400,5.64148986295308,4.865822164101439,6,4.641839046602946,5
-ND,173,786,322-3157,no,no,0,1.2864336576772768,5,3.0127414530974823,6.8809840883084,2,1.78725486382714,1.108283750601474,400,4.461497699140695,7.0251533045392485,4,4.0939617484924185,7
-MT,114,778,190-8204,no,yes,700,6.709703569889507,2,5.791208681505597,6.450629753898853,1,5.768249131386279,4.831855372388672,200,2.8896179267848643,5.534367961527597,8,9.040676304605467,3
-WV,81,878,373-1611,no,yes,100,10.201260697281253,4,8.463634669196441,4.744525017977616,2,7.074752705288904,1.4522387013895797,100,8.25116474178,5.177574873310874,6,1.081147001881479,7
-NM,76,787,547-5663,yes,no,0,9.96228287595451,5,6.224994389937255,2.960130974187067,2,8.697180443682713,5.046257623985682,0,6.161098142469284,3.8837355531156543,4,6.233902858896978,4
-MN,51,777,334-7767,no,yes,500,0.7098115067179744,4,2.3834514686831163,0.26869564266935697,4,4.396593593043203,4.180485933498536,200,4.886030735563273,4.414954440457389,2,3.3041176493461224,5
-TN,50,847,208-7140,no,yes,200,7.66462779261007,0,8.051353190153616,10.504854696250883,3,7.279520489478233,0.08986549135328836,400,5.223304857379468,4.366512372204269,4,8.242208848690197,7
-MT,193,778,129-7600,yes,yes,100,8.012553453675581,4,7.73339478784127,8.173522884495021,1,6.528308748302772,1.1323468295174752,300,7.366963013009684,3.70272979000786,4,3.2011744457416142,8
-NH,32,787,540-5521,yes,no,0,6.709362274087355,4,5.378322512301454,6.823617980208615,0,6.030077110036743,2.871036679039284,200,6.059627897756872,3.657516859811405,5,4.028451111109349,8
-MD,131,776,730-8073,yes,no,0,1.7459379596823297,2,5.4169344824835255,4.977153674779219,6,1.88523476680326,4.103166069701967,250,3.2527983743506765,3.198147192622623,6,4.481734798350345,4
-NJ,65,787,897-8021,no,no,0,11.552171956441065,3,9.44467231544565,9.037922965698693,4,6.514310696392964,3.3990398489154,200,6.194017751793102,6.2033189671469104,8,5.173438088733397,4
-TN,181,847,300-8759,no,yes,400,0.8767886081128751,6,4.036542199211234,5.413498938884913,6,3.235017086897248,3.140116781772715,400,3.1867729385239154,4.275926803849799,7,3.1255432171647355,4
-DC,10,686,297-7416,no,no,0,0.12006867101944962,2,0.3350152409498524,1.64549926806166,2,4.876204247596428,8.252473954321122,150,2.8750673820882464,5.498077429117878,4,1.9572476697251973,7
-SD,29,836,349-3747,no,yes,0,9.188037203229367,2,9.718260440303256,8.663424984816704,3,6.419322298335584,0.4492061506486138,350,7.263637193870696,5.2938683161842786,5,2.858845353098145,8
-OK,170,797,878-4089,no,no,0,1.21939981008828,6,5.415006706692678,7.5510861412222114,9,1.8848268042800853,2.70165375133939,200,5.208696352040693,5.433183548684144,0,8.49340627146234,1
-ID,167,736,983-7656,no,no,0,1.356691917457169,2,4.802441549166859,6.041963109936768,3,2.3887432210970565,4.807479646567287,350,1.9186425601970811,4.437733472741353,6,7.139384469653032,4
-AR,192,658,346-1035,no,yes,600,1.055048636634777,3,4.303103653874812,3.1561082823763,6,3.233754078704722,3.673331785666752,400,3.395027744063748,4.8544878468501445,7,3.2201968656223987,4
-FL,165,707,371-1845,no,no,0,8.883869884286538,2,6.879618318593924,4.814316973232366,2,6.841229287824367,4.921148687279394,150,5.4542731357526915,6.283803980469114,6,5.245895750746978,4
-AR,189,658,357-3192,no,no,0,3.5727215653607867,3,0.8382126058595416,2.090162228210485,2,7.129677414696393,3.371012820814908,50,5.973406486711196,4.521156805377466,7,1.3142837909766107,8
-AK,35,657,253-7577,yes,no,0,2.05796533167263,2,6.856364919403106,9.928294967184547,4,0.9334234044922276,3.0493925828612465,300,2.1593326940109083,5.12281547162478,6,9.699708712512543,3
-RI,8,827,168-1392,yes,no,0,4.7684545839160775,1,2.4976117749204167,0.3027205936691537,1,6.871289222997012,4.807516459937436,100,5.697564137671463,5.814496877059949,6,0.8850563720130786,9
-AL,116,657,539-4664,yes,yes,300,3.9203009007965917,6,2.858533521458809,3.274137548013128,5,1.4065791361780595,0.17222027956621666,200,2.5759725871962083,6.637227133705276,4,4.19509683283208,4
-VT,5,868,304-8909,no,yes,300,6.985422937108959,2,7.304614331410419,5.601988941267281,4,5.068173170306055,3.47212677504644,200,6.088832975090398,6.387827629466049,5,3.732073965577686,6
-CO,150,677,978-7840,no,no,0,8.259187033331491,8,3.1437383473719387,6.702974160847057,0,7.143705688454827,4.325705273502678,50,7.4539340101314036,6.132650727263951,5,4.169527608750132,7
-OH,135,797,626-4078,yes,no,0,2.3911613896199944,1,3.52983926787042,1.0307996373473671,3,3.806145617575788,4.397652533565311,400,5.492169203885702,4.31232416993349,8,2.7512164264050485,8
-CO,174,677,301-8327,no,yes,200,9.078546777335797,4,7.49193714034428,4.122058820921005,3,7.403485883829066,2.2688727762860297,150,7.505617175821012,3.2528918660441946,5,2.7328031635390797,6
-IA,84,736,374-8668,yes,no,0,11.494813077543066,4,6.827171511774262,8.433450513263828,3,8.46634385826053,6.571394846158738,200,4.36125803492269,6.431861940443965,7,10.320296714117196,0
-NV,128,788,360-7170,yes,no,0,0.7465494958632393,4,3.897252206070655,4.7521170430717605,4,2.9847620353607263,2.0776772518116,250,5.219921105549997,3.1671763786851286,3,4.113163900826242,5
-MN,4,777,824-2494,no,yes,100,14.000023345763696,3,10.535626854235836,7.868834044870532,8,8.262418436295027,6.891634226620591,200,4.626493523379646,3.4281259261077546,8,8.067705549641898,0
-AZ,196,659,806-5292,no,no,0,3.6311733430357545,4,3.906101915334647,4.791796820126766,1,4.8609644850771705,3.5142891976834534,300,4.55932765467984,5.022606908941649,7,2.85856570182605,7
-NV,188,788,819-9517,yes,no,0,0.9612650216456684,5,3.682918997158045,4.654414568913905,5,2.3755355343265268,1.4006178063092896,350,2.9107863494290047,5.50435504316434,7,3.4507234221567824,4
-TX,109,848,860-1551,no,yes,100,10.888433526091664,2,7.0332897710172855,6.742073386897492,0,7.8314088908650366,3.16706039273485,200,7.976282351237779,3.4419702136040686,5,3.782722473638071,6
-AL,63,657,233-2755,yes,yes,100,0.28322259172424946,3,4.150425387062107,2.394091867275784,6,1.8724825709641943,1.4306541336636385,200,5.430161969438674,5.335816036479229,3,1.411011097574491,5
-GA,56,716,190-3288,no,yes,400,0.6821165947000479,2,3.4917559132218168,3.3400025830907465,3,2.144654945779948,3.3030952985431816,250,2.8685570466248165,5.0619269738495785,5,4.457404017403453,5
-CT,94,678,301-6992,no,no,0,5.915222413562777,6,4.0515032743761035,4.3874552588016025,2,5.6035868463478105,4.551460733940911,100,6.788831385486903,6.234999917758003,4,2.5587609286933697,7
-IL,67,737,940-3419,no,no,0,4.29225516289201,0,5.153189463228183,4.93084483898914,0,4.193790323956526,4.442108800060197,250,3.652676692505136,5.232787774604119,6,7.155118524616692,5
-DC,85,686,373-3270,yes,no,0,8.400198865121869,5,4.879320415436314,7.128179201823482,0,5.562910970151654,2.780294120912417,150,7.161719468547872,5.053614396915718,9,2.2593767476001494,6
-ID,167,736,514-2495,no,yes,600,2.7005554450717986,5,4.017665699224587,8.412570106261864,0,3.1381996337672944,2.4972319462709383,250,4.533525281777539,4.624129323761082,6,4.403809833866262,8
-AL,122,657,110-3192,yes,yes,400,0.07100611304425009,4,3.291167318292159,3.148256426772061,3,2.5007501367121696,1.525690090657939,200,4.285461757350866,6.541530760569638,7,0.8475633394670492,7
-WV,18,878,948-7102,yes,no,0,6.979714334432497,5,6.076861350440314,2.148097701018986,5,5.128770575271067,3.7993665791060334,100,8.580642807658807,4.337630632992139,5,2.14356468164881,8
-WY,34,878,668-7565,yes,no,0,10.078242735976533,1,8.607986233627656,5.302569834901728,2,8.34131207549525,2.405037593784653,200,6.965370680893981,4.706594657211494,3,5.446359937246862,5
-ME,27,776,605-3683,yes,yes,400,5.182358064142734,5,3.5583002460106075,3.0506192327314667,3,4.349551100181527,6.231501087691509,50,6.178896395971021,6.080129541187952,5,1.7550464599636042,7
-AR,123,658,627-6432,no,no,0,4.690226155732885,3,5.30292929295051,5.159889027914035,1,5.48150476293413,2.6183349499637503,350,4.941670653747298,6.338388011316619,6,5.752746800538503,5
-WY,2,878,398-2835,no,yes,300,3.74326542234862,5,5.3480021123945525,3.7591911660956185,5,3.263731958375334,3.7215332481584413,100,5.332918870604838,5.963795618204324,6,1.056367867806879,7
-WA,53,876,455-7202,no,yes,400,1.0825896194920237,4,3.8237523120735046,2.9681594627712435,5,3.5380008561359344,4.366463483715654,250,3.5734544756168503,3.2793659942413407,5,3.052283097834064,6
-AZ,79,659,527-4892,no,yes,100,3.5351298895519925,1,4.2626631136503,5.094098286789706,1,4.65869303592756,1.9471320531137384,250,8.04173970802543,6.2705967932862965,1,0.3638574587984564,12
-OK,29,797,902-7473,yes,no,0,5.903800007319053,0,4.992445400761613,1.5139968776296835,0,5.8024838234173925,3.8497579806695383,200,5.275476244592138,5.894987552558085,9,1.3372615753942556,7
-VT,9,868,430-8371,no,yes,1100,6.540582320858854,2,6.254062433802009,5.885839011489793,1,5.517075182344135,1.5409821715800809,250,6.2712721611688185,5.642054514073634,6,5.301916196491309,7
-ME,61,776,526-5232,no,no,0,4.7281781577773625,5,4.033922135464881,2.075976649883163,3,6.8617936472447525,5.973814386663673,200,3.3642586604923306,3.7458796980160667,6,4.808075137641066,5
-IL,70,737,279-8040,no,no,0,2.413500645790585,2,1.381018536469529,4.111449846202217,2,4.648167560584749,4.046464796631305,200,5.949289700993592,5.528049165924236,3,3.224897636786485,8
-NJ,60,787,914-2886,no,no,0,2.2022033810370454,3,3.9329421539048246,2.281833144970216,8,1.1796520200063707,3.355270635870959,350,2.7888063295614187,4.475370894730951,4,3.9774155101602737,3
-KY,90,758,965-2999,yes,no,0,1.6506062575654363,3,4.2312522837839985,4.886340331526571,6,0.7489400311145129,3.79298210081794,350,1.2025131521437018,6.512670698694322,8,3.4966915846741338,5
-WA,40,876,341-1486,yes,yes,100,7.995636459718997,1,7.926434251414758,4.784373122307095,3,6.099111853440995,3.0309039908242315,250,7.0349713294752645,7.7320358999303185,4,2.5835555751368107,7
-HI,138,727,737-1867,yes,no,0,5.227665137798627,4,6.156966252439961,5.287819412796656,5,4.322860288931427,2.4874832257840684,300,7.175883489860724,3.648238098655904,4,2.4898274159515466,6
-NH,200,787,967-7633,yes,yes,400,2.7974346215005568,4,5.7572228906332015,4.575284145302349,3,3.3485636013698836,3.373482285235141,200,5.113438892536955,4.977393327853883,3,3.0613792733869034,9
-IA,183,736,552-1129,no,yes,400,0.05780182335043271,3,2.4197167237952537,2.513655856557844,2,2.7658112191766357,2.986648024303416,300,4.150991552434803,4.413413934034817,8,1.1964211185721547,8
-WY,91,878,687-3760,yes,yes,100,10.196927939739645,5,7.478657541471501,5.363937080217762,4,4.274394072246376,0.950671663693198,150,10.407778426496757,4.73473756328498,12,5.984154155211432,8
-MI,11,777,674-5076,no,yes,800,4.3999901583276335,3,3.2057416235024365,2.435872570547179,1,6.307663531614332,6.942624188612993,300,2.552315516397611,4.99588490900081,9,3.3555938121757904,6
-TX,64,848,179-3126,yes,yes,200,6.542572217992403,2,5.904573137178002,4.360660037785078,1,7.1377267152018575,4.001924345928567,200,6.092845966679661,4.804140093637951,1,5.5380225235663545,7
-NE,23,786,916-2048,yes,no,0,5.438906670929779,6,6.032206188121005,4.769293113616616,8,4.274185559877416,4.082042129044851,200,7.025006033952877,3.588087699041817,4,0.8509063899373537,5
-OK,199,797,675-4455,yes,no,0,5.727677582256371,1,7.978747291542749,7.547797098255732,4,4.394670351414174,2.950154765623888,300,4.435812553942932,4.77456312327466,5,5.419188079653313,5
-NE,56,786,901-3009,no,no,0,2.8979128102946228,6,3.1856249519539617,3.9824295061688657,4,5.51853980174987,2.9208901769507687,200,6.420813913471793,4.727181267076004,1,4.874406821141885,5
-MA,125,776,773-3496,yes,yes,700,4.262188240942122,0,6.601781082224842,6.724894482257247,4,2.362619899921953,4.477083195974717,400,5.6545834254412135,6.153147040851558,5,4.816654246867558,6
-TX,68,848,139-2138,yes,no,0,5.858054793746227,2,4.657182107510601,4.8889974646261205,0,6.6755092273292425,3.9241533205961514,200,6.561589893660263,6.201631436169157,1,5.087132220345351,8
-MI,184,777,883-1816,yes,yes,400,4.480309662785987,2,4.084348669983413,6.772070031520864,2,6.517410751296719,2.249986543956152,250,4.773093822537854,5.279588649318601,3,7.587850977046603,7
-MN,184,777,341-3441,no,yes,200,0.6857550815910276,4,5.873107227771727,6.261505806127044,8,1.118448203986055,3.9982754879430416,250,3.175363346038959,4.4304694005497565,4,4.9337987727226915,5
-AZ,92,659,760-7067,no,no,0,7.392664374205519,2,3.3610022208949477,8.150053397251343,2,6.8917321950053,4.7262987734235296,250,5.216597502941644,3.8244453351524617,6,8.07136774057334,4
-RI,192,827,335-2109,no,no,0,4.691864888041606,3,4.6184332319690915,4.276897689092418,3,5.034202196152684,4.943498905430869,200,5.039030609898545,2.4374218663274774,4,5.43021957079589,5
-NH,171,787,659-8492,yes,yes,400,7.69539914629255,3,6.364786207557313,2.2863193550537693,3,6.581307676647488,3.6608911340545225,150,7.075180044488113,4.692441086053021,5,2.6292182173024683,5
-AL,172,657,350-5245,no,yes,700,1.4768953832200546,5,0.9652951814404656,0.1948725443651318,0,6.481494859674406,3.463206368665504,200,4.758540000232983,5.318383212248226,5,1.7271727228483744,7
-SC,86,836,225-6257,no,no,0,9.303891483948922,4,3.757818434800015,5.7002031416852805,0,7.943873684383359,7.671270688121541,50,4.007730675143801,4.6151526746878915,7,10.292767407198893,1
-CO,107,677,689-9839,yes,yes,500,1.5714431629123682,4,2.8454196605426194,4.6033710871326425,4,4.160134258280496,6.089283316045639,200,3.0549699209509917,7.3941095640025045,2,9.200304572779043,3
-CT,172,678,262-1635,yes,no,0,1.9412513485024232,3,4.0613875757087925,3.9856254735214813,0,4.451768266363693,2.751765487231896,250,3.1423064985423337,4.077930821993899,6,5.214675672706383,6
-ME,141,776,779-7963,yes,no,0,6.674579285254468,3,6.6677599359241295,5.078776440998992,3,6.316001002749717,4.5119031484724115,150,5.15755328939777,5.55073658711797,2,6.918213861556683,5
-MO,52,777,813-7025,yes,no,0,0.6393232536017059,2,3.3971893071868764,1.7096063547882387,6,2.181455397168539,4.151370921420087,150,3.740312159216308,5.330589060466255,2,6.708207318821822,2
-KY,57,758,680-3478,yes,no,0,2.97862217275177,6,3.8199086514581575,3.5068458974614334,3,5.359083371970248,3.367469233411402,350,3.583218443722375,4.878583303364097,9,0.7672929755301414,7
-AL,162,657,551-3314,yes,no,0,0.8854049978959599,3,2.9026551955447615,5.154553657791452,2,2.3751080369871453,2.1702942966212824,250,2.7442030324694566,5.5514638957727005,5,5.560425367947791,5
-MO,184,777,651-7244,no,yes,400,1.428327629952086,4,5.16767517509342,5.135215886206483,6,2.2423147732887827,2.5100147928227767,300,4.087636608449492,4.396114398544341,7,2.1150319630896863,5
-AZ,10,659,945-8163,no,yes,700,4.02057464512174,5,3.112510428590445,4.884620694793052,0,6.2662607796565295,2.858801059062963,250,5.679160495359081,3.2217450689129725,4,4.091820617559968,8
-OR,165,798,988-1493,no,no,0,4.174912099060943,4,2.0843192726909807,1.0856055127690256,6,1.3327449426447495,2.6207937477244547,350,1.854622720872614,6.797548610135776,6,2.609884444087541,4
-AZ,82,659,858-5857,yes,yes,400,9.113908439071388,2,6.930935192622662,6.924961595131128,1,7.159652200787157,3.17531317430304,200,5.45381908950068,4.218832867203089,7,6.267522555485962,4
-SD,35,836,388-2030,no,no,0,3.9268006701102713,3,3.862858854406874,0.719792753831328,3,4.696888440495272,4.027109059359494,250,6.918956128104139,5.259021618298656,6,3.2395270184786185,9
-SC,56,836,532-2935,no,yes,400,8.538344225278095,1,5.714318185085917,5.9283246350417285,1,8.326102694628531,3.745033020190487,150,5.578465848536712,5.615219421212222,3,8.691587766749834,4
-FL,131,707,774-4277,no,yes,400,4.6298486155712135,4,4.474119587380119,3.5019160813561268,1,5.998193140339671,4.098925382281156,150,4.6965726084074095,4.328441948620268,4,5.131412488990155,6
-DE,148,686,344-7426,no,yes,200,0.4106747640205102,5,0.777004876144936,1.7890349430711583,1,4.475200271188998,2.9887409331000736,150,4.729714670294577,5.13288931916346,5,1.150446131165802,6
-OK,129,797,688-1100,yes,no,0,7.309872191125756,4,4.843242513895484,4.188089006318196,2,6.377362265108348,5.057100442017298,150,6.620651883885232,5.271974310754813,4,3.4887435041803263,6
-OR,11,798,919-4777,no,no,0,6.048843313937683,6,4.597128109668045,4.680000365954963,2,5.583162988520659,4.550333073406211,50,6.05311618406304,5.331111829359543,4,4.331181017547587,7
-DC,9,686,632-3357,no,yes,500,5.027912083769238,3,2.905439069480236,6.738631491499042,0,4.338425606542328,5.162209228782291,250,5.889359773141449,5.544651058062821,6,3.9177772982581716,6
-CA,105,676,452-6416,yes,yes,200,10.703985987551668,2,7.344284609867438,7.375216104459445,2,6.887117170982001,3.8990427004132617,250,7.888956733640961,6.761419371847556,6,3.1721989005535542,6
-TN,5,847,455-7834,no,no,0,3.1377264783438665,5,5.875354730567207,4.7473750376550985,4,3.1355446181496225,2.5444991735453035,200,6.137905046428018,5.170779328833332,4,0.9847705255646186,9
-VT,142,868,440-5395,yes,no,0,5.8057913294623384,4,4.2247597701164485,5.9714140910188895,0,6.071058210732392,3.9639075420795,150,5.6863421726440855,6.879071867342835,4,5.783015937399485,6
-NY,128,788,409-5504,no,no,0,13.281812842828494,3,8.211381834610107,7.637548026777804,3,8.540019247226189,5.7565450780649075,150,7.175239622944937,5.879230089870143,6,5.4692562875120805,4
-DE,136,686,106-3735,yes,yes,200,7.015025815395192,3,7.098923801261483,5.2415005185156724,7,4.959928084748236,6.246696039487464,200,4.677871861497784,5.743740562199558,5,5.348597642051387,4
-OR,44,798,532-8757,no,yes,1000,0.07158947765451806,3,0.7996233638899035,3.4314732305609588,2,4.833923768910203,2.7576000783862176,300,2.2883428386722704,5.494313007813172,8,5.680855827701894,6
-NE,150,786,723-8379,no,no,0,8.411097076176649,4,4.5706283559247405,4.617005005264653,1,8.120179828070981,4.354838741489036,150,7.207988981450013,5.885802778906688,3,4.783094069147942,8
-MS,134,778,576-4157,yes,yes,800,2.845851504750209,1,6.407122837099554,4.735220548101912,8,2.521286887818432,7.524494453662509,400,1.0301801210343178,5.1878995372402255,8,6.642861693716032,3
-CA,169,676,749-3596,yes,no,0,11.652896286474528,3,7.316546296571425,6.630314884456928,4,8.079817427259972,6.089088389326369,100,5.733613704603325,5.570427384420875,6,7.236926905605189,2
-NM,47,787,587-1918,yes,yes,800,1.4325768082261907,4,2.6820326763873217,3.3285790460218525,3,3.3566000341288555,2.715925532094236,350,1.1171917826297073,5.049982458799388,7,5.7486540375287465,3
-LA,179,766,213-8531,no,yes,300,5.525698781122382,2,4.9445362163770055,2.4790525235561143,0,6.389312296742654,2.8783635002985095,100,6.738339551085023,3.347065341946464,2,3.1747514700182027,8
-WA,35,876,301-4648,no,yes,800,4.198355943600962,3,0.6485974871451088,0.2909529282894185,3,7.847583570641509,5.974086545946532,200,3.640453058568793,5.3884801818939385,9,1.2005112902948514,9
-CO,143,677,854-4271,no,yes,500,4.175771369369546,5,4.911953789767486,6.723162036932268,1,3.2897897756416943,2.1827492254283256,200,6.577630061360995,5.5619103376998735,6,1.4155981150201136,9
-WI,97,877,237-2976,no,no,0,4.4782271246415934,5,5.363952218694251,6.182245808651588,3,5.087232249960449,2.5566850882793157,300,5.054377953267467,5.385089545881749,6,4.723053305430012,6
-VT,199,868,698-5883,no,yes,400,7.359824211057589,3,8.262322170051291,4.895503642882328,8,4.947316468881585,5.877445650198998,350,4.950174210254948,3.715244282015916,7,2.7783020103846217,5
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-WI,101,877,628-2521,yes,no,0,0.9527728863240784,7,2.4669299966806424,4.642202438809443,6,3.555437651001013,3.6641706957793088,200,3.1076086020143854,6.893105933684796,1,7.4255981213269875,3
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-VT,184,868,261-2626,no,yes,600,10.294895692271636,2,7.03573154348299,6.19155597288335,1,6.9685824367419,5.708460006759545,200,7.256520981653043,7.518083987127537,5,4.630720404800703,7
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-RI,42,827,269-5124,yes,no,0,3.221826851451603,6,3.5234376055547987,4.801817462175118,1,6.167518428972435,2.7793394161335896,400,3.148439597053605,4.9510130870795885,8,4.405545472202059,6
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-MI,96,777,382-9582,yes,yes,500,7.358443276065973,2,3.188986542200455,7.15535901867476,1,4.877496405809918,4.7457514041062066,150,5.7328616424165615,4.877938687551231,10,3.8881963794380088,4
-DC,31,686,932-1992,no,yes,300,6.807904846223928,4,1.059627075046352,0.5364648097508153,2,1.0350189665324985,1.916346398660543,200,2.164598904905416,4.113221190105154,3,3.1003030380514884,5
-AR,56,658,488-2089,yes,yes,700,0.3846698205961738,10,0.9142140754497898,7.087236547984822,1,5.050159237815583,0.6049363361738109,550,5.973092312859513,5.6582591502438,6,0.406489522366158,9
-IA,64,736,519-4339,no,no,0,3.3466373430803187,4,3.4018832055679566,3.3640416208927135,8,0.24856565274354114,3.9322959688149672,200,1.233507739010292,3.219232950298464,4,5.250541404568688,3
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-IL,188,737,512-7298,yes,yes,500,6.360474812540401,5,3.5516484189421536,5.157965573032549,0,7.608673672878959,5.129011050901122,100,6.199007932013358,7.273051559034959,1,7.228566040576679,7
-KY,48,758,647-1267,yes,yes,400,7.850617333930629,3,4.770768476544191,7.865954261682364,1,6.863309424167984,4.829653485003325,100,4.7745807116649805,4.914316554905273,5,8.135032952905421,5
-UT,83,858,794-5350,no,yes,0,13.247597434317491,2,10.049384632853194,9.31254528508082,6,7.276983807689048,5.804791106729011,200,5.618250500093172,3.6055619172177935,7,6.6858512359255435,2
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-AR,81,658,730-3273,no,no,0,4.29155014437269,4,3.2061696584314383,4.948783779382107,0,5.305477956799171,4.778457594698679,200,5.125852199165781,7.265956355995449,4,5.340779399604388,6
-MS,116,778,684-6762,yes,yes,200,5.015497548824837,1,7.542931474249372,6.059926320471022,0,4.38367825313369,1.6838702455948713,300,5.9081236411895475,6.2399826514443975,4,2.8032576249735173,9
-ID,191,736,930-9167,no,yes,300,9.134363142233354,3,7.274234701142928,7.236420366122483,1,7.989611978930269,2.1594117583172263,200,6.179413373019013,6.107121818617013,4,6.5005421112705655,5
-FL,156,707,473-2282,yes,no,0,0.6052099813198746,4,3.1065164942198766,3.506178411273518,5,1.920199173531251,3.684374684489669,200,4.107496942256755,6.303489860194098,3,2.896909959445828,5
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-MI,124,777,745-1149,no,yes,100,8.928984558520405,5,6.93395178944281,4.193356814150645,1,7.006053256134812,1.9918183914391967,0,8.47453660319166,3.4645274984631875,4,0.3057308120613218,9
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-RI,77,827,781-9385,no,yes,500,6.723846319350875,3,6.1873546250385125,4.832989596439403,3,6.251667033393568,5.407792771746653,150,4.106714032742603,6.786841059104193,4,7.855248744453241,3
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-CO,83,677,532-9895,yes,yes,0,11.215740737456686,2,9.396581836119234,10.28801452112026,1,7.756148772972907,1.2045880488612566,250,6.723098558937018,5.587835143689665,5,6.550189356799952,5
-SD,154,836,746-8006,yes,no,0,6.836219910446519,1,6.549105491073135,3.7491397683671313,3,7.301967318581197,6.034521369537964,150,4.495940293912527,3.7336286313550286,1,7.876109738912429,5
-AL,130,657,984-7297,no,no,0,3.6060481784173817,4,1.7568885696709682,2.366844877726582,0,4.2014092177135565,5.163225478279801,100,6.730685163506537,3.0836698758534644,5,0.7171086588588862,7
-AR,146,658,702-9003,no,no,0,3.7556719208528815,5,3.4657665361071643,5.29428849058569,3,3.7510521742047405,5.956389800481657,150,4.59771993380227,4.361227295637823,6,3.804923755138186,7
-CO,40,677,397-4038,no,yes,400,3.7342811627417154,1,7.012015429171577,5.510817590297967,3,4.275008160769833,3.777667311761777,300,3.8908607760295006,5.802845535350933,3,6.258187587850465,7
-MI,12,777,238-8955,yes,no,0,3.4264502049479986,2,4.75358173909646,5.371182048990475,0,2.9026643334325453,2.1677740283498554,200,6.3498483929914995,3.709536349065629,6,0.3850328432298964,9
-AR,124,658,850-2976,yes,no,0,6.222592492874759,7,4.335715293770249,5.8449096289944835,6,3.8679066859243,6.643877119383204,150,6.734533935819353,4.342861871915767,6,1.175227994558916,6
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-VA,4,866,126-6301,no,no,0,6.396390975981852,5,4.485674224289736,5.052297516553176,0,6.1637729350925445,3.770680245497802,100,6.393601230487472,6.9443763368378875,4,4.103064535456304,7
-HI,149,727,170-7163,yes,no,0,5.091274510977667,4,8.739473881742143,5.925989430921238,9,2.4161552033276306,3.460995762255281,250,6.701249185155381,5.6091583847706135,4,0.6150561481811039,7
-OH,71,797,972-3108,no,yes,800,5.004860305325769,3,2.9377437182688766,2.983767342495676,2,6.920750875196258,4.237027744549889,250,5.110477794318049,4.958042393745703,6,3.62684433689616,8
-IA,57,736,450-4746,yes,yes,400,10.99905063882128,7,6.832380866345026,8.958602145617784,2,6.862634480612859,2.5557429032622494,150,7.959149918196591,4.294898671342321,8,4.030565064306131,5
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-OH,12,797,923-6562,no,yes,700,6.0387452644776936,3,6.935009439604249,6.7973674892419895,3,4.617301980541594,3.7378585154789,250,5.262524255415579,3.187132247439061,5,5.350142717034934,7
-NJ,30,787,777-8676,no,yes,1100,0.7106761240551345,2,0.9032228128358292,0.2594216214443161,4,5.767228086858786,3.5657532265353167,300,2.355918041233152,6.575657100263733,8,3.3746327673942256,7
-WA,185,876,647-4499,no,no,0,0.40893243176129257,4,5.4901334489867555,4.232577690437755,9,1.7151859748380862,3.263771682284288,250,3.588211454068607,5.454875063932653,1,7.467602574534478,2
-MD,92,776,721-9516,no,yes,200,6.897526394163731,1,5.954500705948275,7.777363456174041,2,7.194259698259285,2.2942931336563905,150,5.183368616820169,4.273833463642717,2,8.13713810370389,7
-AL,35,657,171-5177,yes,no,0,5.965923274573889,5,5.3108709236574025,4.027013195378516,3,5.7476301579494224,3.0993885463424826,350,6.100274962838607,6.606423614647318,9,1.2250593318070306,8
-MD,146,776,755-1671,yes,yes,400,7.864143257406202,4,4.961323152212574,4.747691899429197,4,5.279758595465277,5.792722864283935,150,6.770373145069815,2.962792121578401,7,2.786182066031148,4
-NH,178,787,454-6270,no,yes,600,1.863241216551299,3,0.3380826821778662,0.07668773759437109,2,3.67867880062912,5.080955441950112,300,2.8690754720521654,3.4573733469065164,5,2.2694212850707127,6
-CO,55,677,656-4914,no,yes,500,3.8509123658239317,5,3.612755803586962,3.458048749493947,3,4.409794252062582,4.218917055928625,150,6.843966342132312,5.510206090311774,4,0.9657768240193779,8
-SC,23,836,478-9262,no,no,0,0.5342306557930652,2,3.13155160654582,2.96567331941404,4,1.9386944363088388,3.834040695658252,150,3.640184725159108,4.598598858460483,3,4.455194962034153,5
-ME,89,776,945-2942,no,yes,300,7.392015894567638,7,7.378109367268889,3.732297146247744,8,4.937124759271893,5.726988572807374,50,7.210454963498213,3.7491679148042785,2,1.8438960273920102,7
-NC,173,786,380-8775,yes,no,0,10.455488104709293,7,3.5379228937014906,7.389016250811138,1,8.697158890492418,4.938904951046788,50,7.341452467659003,5.426672932196023,6,6.118214222203092,5
-OK,197,797,208-2116,yes,no,0,1.6729580986651422,7,4.3517266561984185,4.365247789704788,8,2.140599690962881,1.251755559768752,300,2.6767068137438463,4.328597825517013,4,4.23962439487921,4
-CA,128,676,673-9598,yes,no,0,6.605379278405966,5,4.947987578886086,8.118672001160762,0,3.799546923574437,2.17251981145697,250,7.779475822295378,4.643112529507304,9,0.3753180171290973,8
-GA,82,716,504-4990,no,yes,400,7.4247081622318705,5,5.8551998590432275,8.65318701206202,2,6.165060037904015,4.219078045553102,250,5.586776242780776,6.3596860964569215,4,6.93012610327798,5
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-SC,42,836,494-3006,yes,yes,500,1.9578763417538416,5,3.4192476757539856,4.996416497253807,2,4.0124176632345705,3.350365517975065,350,4.396564638843863,4.830666880740034,7,1.7438473707691076,7
-OH,68,797,186-1399,yes,no,0,7.849883579799526,1,6.438384434931179,4.357469216820027,2,6.428211510647214,4.889395755619822,150,4.686914701376701,5.485171195387296,6,6.570072732630968,3
-NY,118,788,503-6822,yes,yes,800,0.2373976392256063,5,2.589741101971998,3.340975151389101,1,4.76705416773199,3.119811328813308,300,1.236969803838309,4.77275496418335,8,5.071815320976151,5
-WY,52,878,904-3927,yes,yes,300,9.240522989837133,3,9.869332878277696,5.858257415926362,9,5.3513132549028315,6.1936310958975005,200,3.819839023881505,3.7214076016135214,7,6.959411045176463,1
-CO,115,677,552-6299,no,no,0,0.998161306183376,5,3.5471623224129307,5.178932760199412,5,4.060548454686832,4.399205881546746,250,2.983492686137617,5.298912474877078,2,8.928035908138458,2
-MS,116,778,162-8907,no,no,0,7.505267313434412,7,4.470859009107555,7.353640620908338,1,5.847329201417692,3.467944309787377,150,7.898802672233568,5.923494405108293,5,1.4039616308378866,8
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-DC,39,686,810-9488,no,yes,400,1.5490364273871906,4,3.3530342565517737,5.211327305492729,4,1.91796144736958,3.0085426380653426,200,1.5522849022465306,6.304613048181097,4,7.975383095418762,3
-ID,133,736,528-9990,yes,yes,300,0.2864334092903382,4,5.4423939250082345,7.436924860902115,9,0.361161496525602,4.51286202783705,400,3.877451323668666,4.82075037353563,4,3.943138180968844,5
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-NE,47,786,524-4322,no,no,0,0.2332220082902765,5,1.9513252561721628,3.1597334651809,3,3.9718523628095226,3.5868324854388938,350,4.292768429441528,5.014079582774496,5,3.393971210144442,5
-ND,171,786,140-5214,no,yes,1000,8.529913583468316,1,4.851453254904452,4.420929614920792,3,7.395990095393286,4.835483113818193,250,7.0682811626130455,2.9731564399216888,6,2.610367200799168,10
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-NJ,179,787,102-3789,no,yes,600,0.3430932924547188,3,3.258557989381797,3.529498956502476,3,3.098226480188266,2.5056509920334946,350,4.176830387812111,5.072666052142033,6,2.016203137541732,6
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-MN,52,777,850-1819,no,yes,800,5.602444003327003,5,2.564059371224225,1.5760743701763589,0,8.15472291527038,5.664875340478728,250,3.854531098899961,5.246179247229555,9,1.3805388204998232,8
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-AL,190,657,273-1676,yes,yes,600,0.13855587969152872,2,4.639368393746501,3.657756575893457,5,2.1443761562056585,3.2415314889557787,350,2.5227469596069243,4.6208165092302576,6,4.353193278270554,5
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-LA,58,766,853-4011,yes,yes,500,3.0465926420297116,3,3.27929144619726,3.796879374780633,1,5.709242141882414,1.667252875753241,200,6.7615191664660275,5.139821894166252,2,3.4006826816022366,9
-MI,58,777,562-1754,yes,no,0,6.601728714976341,6,4.993288088137424,8.683758420301968,2,7.616690458026412,2.104100710368596,450,4.290530914991076,4.5185615762096285,8,6.0373481073157285,8
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-ID,72,736,685-9420,yes,no,0,5.6135577711716405,3,5.691573469679635,4.737083184184555,0,4.937195009366534,1.0293862977108752,200,8.865502847068893,3.659161262883,3,0.5855468505946737,11
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-OH,196,797,875-3554,yes,no,0,2.3269579086083003,6,3.0571418304772724,6.00457373361974,1,5.1588686623330196,2.0443791042139474,250,5.387739374467256,4.588203442189793,2,5.61567508578994,6
-SD,64,836,227-3756,no,no,0,4.178205758292071,4,3.8556372079611516,2.9537072869975214,5,0.4731714813233658,0.3040294411898028,200,0.5899233036881801,5.745059784828394,7,6.397184150129022,2
-TX,64,848,446-6554,no,no,0,3.457787572720441,2,1.3205046123616049,0.6577357687696619,6,1.2450165769867132,5.876279055950304,100,2.055806942085136,5.943248636260141,2,3.5996543086870694,4
-NY,3,788,466-6537,no,no,0,4.737763446657992,5,6.0329034164881525,3.0846782140331293,7,4.643373141084441,4.024199087713183,350,5.395177976696961,4.237038674955235,8,0.8246982485095531,6
-CT,187,678,849-4543,yes,no,0,3.4181833985461467,4,3.6524319098276337,6.2967943208151285,0,4.6573905012742856,2.0406530374979357,250,5.679620416482996,4.241011192368264,5,4.608111365124504,7
-ND,51,786,949-6156,no,no,0,4.642344456595462,3,7.333337326920067,6.8928436534199,5,3.416415234807133,3.1588588101873603,350,4.73769416108545,4.8690832669709785,6,4.808853256194202,5
-UT,38,858,534-8061,yes,yes,600,3.1387533519919266,4,0.28224068179274564,1.375172094101555,1,3.3414881394088694,1.570747237016131,250,3.2353764539127314,6.632126829341908,4,3.315866361803036,5
-VA,164,866,637-9683,no,yes,800,0.7056292119040837,2,2.025952149058134,0.4866564938993037,0,4.095908832812031,3.6131098583738286,350,3.521292889177801,5.303479283903816,10,2.060746464021702,9
-HI,129,727,511-1817,no,no,0,4.468925335577735,1,3.888719940264806,3.0491829215194506,1,5.762216373634787,3.950859764568622,250,4.861927509619231,5.809667752746209,6,3.9402661385523934,7
-WV,54,878,366-8865,yes,no,0,2.2269922491636107,3,3.3523637510309015,3.5534818908886465,4,1.269222654421973,2.828415990552632,300,2.180813583004541,6.230266369465448,6,3.5226925677949605,6
-IN,141,737,524-7403,yes,yes,600,3.1690108557076635,3,6.140597279167277,4.925273914523876,6,3.182075380153608,3.6458097491438735,300,5.373780136461886,4.375966738684308,3,5.5671137827425605,4
-RI,187,827,954-7082,no,no,0,0.8709455566732016,3,4.496302639392182,4.4222048479057365,4,1.1651085545308386,1.5712217565048807,300,2.4768217405878103,3.3317786723532423,8,3.7765894019375112,4
-MS,104,778,863-8541,yes,yes,600,7.582377348038246,5,3.456581384541858,7.252555320194338,2,6.855631191690057,3.2749302902045945,150,6.711525818323588,4.683104764155625,6,5.296554465222648,6
-RI,152,827,785-9087,yes,no,0,2.358205776937869,4,5.621830201625527,5.183710653680238,8,2.1047938466777225,3.5978264835702225,250,5.439264240675207,3.403862016715643,4,2.82782905142718,5
-TX,106,848,655-1353,yes,yes,200,8.130077805808853,5,6.6465051349037365,5.048535756805706,5,6.447031862081647,4.402218460055384,200,7.000995140881014,5.216519171716724,4,3.2844283256547118,6
-NE,192,786,749-5494,no,no,0,6.064989092292121,6,2.6940792067838157,8.001779281077312,3,4.128831948160953,7.027789753391588,200,3.964206421067924,6.219534144794135,10,6.374003989957638,2
-SD,110,836,844-3453,yes,no,0,0.9012454169839854,5,2.948380430032162,4.149020974422747,7,2.434374007345432,3.9167988676947134,350,2.974711549264321,4.9567631662391705,5,3.6372911291882657,4
-DC,60,686,995-6703,no,yes,600,1.0926252357570077,6,2.4016207811683743,2.8334944459330087,5,3.6523735639028794,1.8305849988123075,300,3.7714513463211037,7.4782926464335775,4,3.93342313016257,4
-NC,41,786,819-2261,no,yes,100,7.700779574124348,4,4.6987126888122495,1.7044877439335748,1,7.255266552728663,2.6737516433568222,50,9.5987928292743,7.163243279515664,3,1.037821990167509,9
-MO,40,777,556-8945,no,no,0,6.734835375400838,4,4.109750205921887,3.1378090234862186,5,6.422688650866125,8.589637647707827,200,5.097707003444161,5.378686979297407,4,4.5384886852389466,4
-UT,143,858,221-1769,no,no,0,12.229603443328493,3,10.221199954661602,7.726371440283887,2,8.039052188197287,1.3917886542923887,150,6.620286978188955,4.808128839675343,8,4.28324124466339,5
-AK,181,657,841-6146,yes,yes,600,3.2373170903832142,3,1.264630632064102,4.489060213992401,4,5.814407043445973,2.500623794576419,250,6.2476981713968085,5.114153224792792,6,1.5819533899835103,10
-WI,196,877,300-7776,no,no,0,0.26222351404039124,3,1.1465309253229492,2.8068769835044294,0,4.007754024998278,3.5219720784472246,350,3.8885403725349543,5.14352583967479,8,0.26366931261888915,9
-PA,137,806,138-8405,no,yes,300,10.504155919165337,2,6.714642566460467,7.44902790206111,0,8.666268074551168,2.909434931724419,250,7.221882626000296,5.254503326318358,4,6.034329196660138,6
-GA,87,716,535-5315,yes,yes,200,5.252127981890017,3,8.075536274429716,6.770947058137977,8,2.401992279702064,4.586889763802925,200,4.498735841455974,4.6799818175666035,5,5.654070090029937,4
-KY,91,758,276-3883,no,no,0,7.665168976269745,2,6.54584433206662,2.612873918990116,4,5.786152912253126,5.802081666034563,250,5.443507403734131,4.540371267769643,9,0.22306271498782596,7
-AK,71,657,691-7021,no,yes,400,2.9983048915576176,3,4.9197623501166525,4.996562008281372,3,3.430358416293588,4.758968141624941,150,3.573039500604654,3.388081081788036,4,5.949652719788995,6
-MS,150,778,413-5633,no,no,0,7.7854148160559316,4,5.816155660083168,6.561309805520427,0,6.316268959951099,1.5511207773709526,150,6.983801087561487,4.600664852088137,7,2.8007687832131847,7
-RI,189,827,866-6026,no,yes,600,0.873321480510346,1,5.3019420650603095,1.9765462179089448,6,1.4701823589631149,7.945452426267903,150,0.10718975162271073,4.046643676045506,6,8.258548435258803,2
-SC,4,836,568-4804,no,no,0,4.933953341259605,4,5.08985733039225,4.919472251518718,3,5.414036676017996,4.9050462391163565,150,4.593197828175368,4.9028840108869725,3,6.517307169238753,6
-NC,138,786,171-7876,yes,no,0,4.324565707176873,1,7.013092056804759,4.770968090681833,5,3.5629176631872514,4.77245703937839,250,4.830960308708033,5.762332876539076,3,4.354589342201926,6
-ND,46,786,150-4333,yes,yes,300,1.5825494505165731,3,2.469921878245975,1.131906088871944,3,4.460341966873708,5.453545360321972,50,4.2951439358584125,4.053227510840074,1,5.914031245521787,4
-CA,101,676,511-9844,no,yes,600,8.465956951081173,3,5.069484025326289,4.29068547613588,1,7.35663749509242,4.694072051696609,150,6.550279370586868,5.850145379669246,6,3.365370509933892,8
-IA,200,736,374-6293,yes,yes,600,3.960344979857785,4,4.439217898192871,7.2376986993005525,3,2.182932419088925,4.2599759757820115,250,5.661464189625204,4.444630327564809,8,1.9945840255678424,7
-DC,5,686,352-8999,no,no,0,5.975400543848408,4,3.857305225607282,5.383217888317258,3,4.166682200135418,8.014071498851964,100,3.9395651241354743,4.381459486141546,7,5.7476624015275934,4
-DC,6,686,510-3894,yes,yes,500,5.543081092296838,7,3.7501585485816986,5.958614795297402,1,4.66257870707468,3.020830309560613,150,7.296589585418188,3.806518268696888,6,0.7604175452613839,8
-SD,48,836,682-2788,yes,no,0,1.389435804786391,4,0.4791465438938873,0.477710013811711,0,6.752585262907617,6.139053050341457,150,2.430227552906877,6.0177535029623455,4,5.159253420706039,5
-MA,85,776,166-5585,no,yes,0,11.3978644314101,0,10.055927403110557,4.9188051623428395,4,8.44360029063551,3.7780775884425006,200,7.217081143892817,3.671362847044031,2,5.637942166004192,5
-CO,6,677,695-9311,yes,yes,600,10.170370095731302,1,5.305001520102763,2.4030715364288766,0,8.440937986328848,8.362608704236294,100,5.418424470611034,5.355288920761866,5,6.119962014977106,5
-IL,135,737,387-1538,yes,no,0,8.263101381994494,6,6.688549499966848,7.68027758407575,3,6.185899793685305,3.4739380877526083,250,6.842218200307938,6.609346782462669,5,3.933346065316144,6
-MO,103,777,952-3494,yes,no,0,5.320015730904824,1,7.641373527450495,8.912949907361572,2,4.007440466829132,1.4149422809669865,400,5.586091168037447,4.5533192074272915,5,4.416894396690285,7
-SC,102,836,594-5053,no,yes,300,8.294683026939241,4,4.6481884850355195,5.555619381896932,0,7.229323178406712,3.5750861094467767,150,6.926066721765441,5.137806261174858,6,3.783520802645496,5
-MA,68,776,885-7286,no,no,0,6.640817390036258,5,7.3499687179769495,5.505413641058087,5,4.003265959060377,3.0400887055932126,200,7.3788805898262275,5.2603861596863455,6,0.07040596239412356,8
-NH,19,787,954-3434,no,yes,300,7.704133670951538,4,5.730483684306281,5.1339221231675545,3,5.6880920382987235,5.955531178543372,100,5.026935196906536,4.991352857015107,6,5.524431621261827,4
-RI,106,827,412-3538,no,no,0,5.180339070483292,2,5.839328781199851,4.7827767989137815,4,4.444098234759131,5.285575689950379,350,4.513945220325784,5.824611891894487,7,3.6146312444013446,6
-VT,159,868,266-3714,yes,yes,600,0.08007824837014521,1,2.036025214104453,0.014361348439859256,2,3.8070000535672617,4.318473639468864,250,4.585161339528332,3.7322907456674654,4,2.0230160895790945,6
-KY,2,758,470-1167,yes,yes,300,8.7115812508171,2,4.507750619149144,4.07580366753808,2,9.489322871419963,4.671610161737877,50,5.761406389089657,5.8666679727108875,2,8.156816720114158,6
-NE,41,786,503-5018,no,yes,400,6.5713747560999884,3,4.67459047557351,6.2989996494592475,1,4.768598269399253,4.709659901353364,200,5.7719467060552905,5.108263039428197,7,3.8296311505343614,5
-OK,107,797,668-9438,no,yes,400,0.4611596075794058,4,3.8367258248375697,5.18843109098108,4,2.843916956053549,3.2289927294870444,300,2.882444298098899,5.227150826793934,5,5.155852783936973,4
-MA,100,776,865-4216,yes,no,0,0.9333799700146236,0,2.30944837011324,1.07172811579602,3,1.7168315865046375,5.304534489561147,100,3.0297002416632863,4.8680367551217145,4,4.441490499912945,4
-NH,5,787,377-9992,yes,yes,300,11.250145415629854,4,7.229529986230759,6.867483934416829,0,9.495570345560226,3.5876660024714315,100,6.007608236346284,4.187653739727859,4,8.309928024321295,4
-NC,170,786,846-7925,yes,yes,900,5.347709418242579,1,5.205793371600077,5.840103942698557,0,5.420829756435131,4.571734133371468,300,4.3643424973618,6.4724968607295885,5,6.975885954608997,6
-AK,159,657,202-8755,no,yes,400,12.196378024381746,1,7.5682638820119,7.673534173880656,0,9.847915636672418,4.902495819460688,150,3.9950032990411497,5.84547457958272,7,11.586047797602415,1
-SC,30,836,476-8894,yes,no,0,2.426609852052645,5,3.9063566891775015,5.00591437703998,5,4.156376826074669,3.7442255181108712,150,4.948360808313905,4.603965364223255,2,5.28362480600311,5
-OH,155,797,963-3242,yes,yes,500,2.6569579902897527,4,2.4856197306749515,1.936888200136472,1,4.942038295249663,5.226906550191133,50,4.660070905507428,6.3468638832708875,3,4.160172292738055,7
-NE,150,786,406-4547,yes,no,0,2.5832188521755937,1,1.579506840597876,0.7267468838507423,3,1.7819589003804954,4.674715087346518,200,1.7042767204192266,3.0433037096769615,5,4.442791222270138,4
-KY,86,758,971-9587,yes,yes,700,7.796536234383728,3,6.808868062044487,7.285658973288386,2,5.6170955569088825,3.9245902483676116,350,7.105615056659992,4.963893632869512,5,3.5012112785260783,8
-MT,143,778,326-6881,no,yes,600,2.50942412173744,2,0.43809331842653787,0.0982698206847683,2,3.3801569509562803,3.3192111891657827,100,3.252811993338714,4.415025555731316,4,3.698662561467612,7
-IA,81,736,743-3705,no,yes,300,0.3074024085252667,4,3.9775008799200737,6.4969605340472505,5,1.6681008604107483,1.7124990396811042,250,4.583692141022434,5.40195515496735,2,6.777576554437722,3
-RI,80,827,122-9960,yes,yes,200,9.424022845910727,4,8.577986663678164,3.212496572240916,7,5.948414261596872,5.244627176064629,50,6.565563563699302,4.436282534420436,6,2.031205520444638,5
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-NH,59,787,507-2786,yes,no,0,5.620156405668643,2,6.181867947176466,7.6463577890986025,3,4.50562800850966,6.022503821515059,200,3.3471751235010427,6.404409338783523,4,9.560972855850329,4
-MS,5,778,598-2664,no,yes,700,2.5658273846421027,0,4.390979914414811,3.358230571476177,2,2.926542031055436,4.173213622580605,300,5.373134499779722,4.529775172191081,5,2.349922759702193,7
-IA,177,736,847-5229,yes,yes,200,3.747253126842136,2,6.16234386002317,6.406400234941579,2,4.389501651656392,2.258410451019728,300,6.309244465551572,6.754390336911137,1,4.03044538412882,8
-WA,184,876,913-6984,no,yes,600,2.054965603976477,4,0.11072645534759218,0.4565241300695062,0,3.7581390799446446,2.707074544723889,350,3.1352392323707017,6.98525456471544,9,1.236308124912895,7
-WV,167,878,800-1990,no,yes,1200,5.983074325020446,3,4.907736455408179,6.663035438066317,0,6.5576836162056935,4.567146211102722,350,3.3048518246661573,5.2115743973707245,8,7.914866480270518,5
-MN,59,777,407-2026,yes,no,0,1.3518330886007233,6,3.599837174341969,3.1547065403066035,4,4.593725120336535,0.9092041560507678,250,5.433182179233309,4.2413759717637625,5,1.5861999322516973,6
-IA,139,736,453-1867,no,no,0,2.9521539643242223,4,4.974328022825917,3.640267342181008,5,3.446404598338062,3.4246869807738056,300,4.502795619045465,5.275208542182104,8,0.027611223969888243,6
-OH,3,797,311-9019,no,no,0,8.857609238571044,0,7.841868379029084,3.3890300825819666,3,6.0001439057318535,7.678708400816273,200,3.825036069422153,3.1133808795770905,7,6.310454935924297,5
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-WY,55,878,989-6960,yes,yes,600,4.236278587944643,2,3.2099332627823927,0.07448618541848884,0,6.166759816229317,5.32247390928087,100,4.2819822231074065,5.415179172950124,6,2.5062308261753854,7
-IA,112,736,725-6628,no,no,0,4.218977504864263,3,7.628508724650008,3.949167431897316,7,3.0047922728390097,4.954306801616736,200,5.169004718748831,5.527477074849432,3,3.0427537024565288,7
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-HI,92,727,254-7249,yes,yes,700,10.178760565934693,3,5.48096204759713,5.187887462826018,1,8.145539184344955,7.112556471417763,450,6.8025737580795775,2.02423709801934,8,0.04546438476862402,9
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-MO,191,777,185-1285,yes,yes,600,8.685809511773689,7,8.085761907476604,9.219895194734168,9,6.0274630038792285,6.455219707219918,450,5.266086078480604,5.565264448464994,5,7.370867353644581,3
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-HI,180,727,603-9640,yes,yes,700,2.794748084510979,2,4.837710716938255,3.897918050858332,3,3.7124749072621452,4.306641492859323,300,3.1946931046796316,3.903967270124005,7,4.287705400827418,5
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-RI,85,827,259-2488,yes,yes,400,6.799099844993602,5,5.458616443397046,5.4340869927251845,3,5.378745851274585,5.1945631495169104,150,6.1494795337354295,3.8911927517744638,5,3.7864641929611813,6
-AK,29,657,999-8494,yes,yes,400,0.7390720915634121,4,1.8413860638464867,3.746048586904237,6,2.541887856999515,5.172092676058963,300,4.692811549293269,5.918629097020483,1,5.279409617618351,4
-MT,79,778,230-3249,no,yes,500,5.412232161235771,2,7.448124796702639,6.1605367116321315,2,5.5921805000199925,3.709258371233308,250,3.229999814370364,3.7764611664196126,4,8.739723196147711,5
-MS,167,778,867-3968,no,yes,500,6.277869584071473,1,4.674412661748359,4.093136606566143,0,4.926378539277824,5.155162139167475,200,6.176207133090752,6.0669707795961605,6,2.4159600040829017,7
-SD,16,836,662-1959,no,yes,600,4.13697598898767,3,5.627960264568417,1.2880272512206394,4,3.9067412485779065,5.1352424798076175,50,4.732784766219668,5.358170427886281,5,3.0251217931911802,6
-VA,56,866,311-8947,no,no,0,3.3571043825787585,2,4.051395326570825,1.527554238628377,5,4.310312114613868,6.319381226149552,250,5.1827074662681465,4.612817332695502,4,2.1917387002833766,5
-NM,89,787,714-8899,yes,no,0,0.9072301975818088,4,4.862250471472209,3.9027258521376584,11,1.4128575537836303,5.747075152086522,400,2.002451050676296,4.342873821695909,4,5.11263244041894,2
-MI,173,777,263-3050,yes,no,0,7.811609737406456,4,5.490081648899731,6.558629474756538,1,7.990146732345316,5.455471299045653,150,3.6503835581503696,5.426886633342695,4,11.075211888494241,3
-VT,119,868,118-3074,yes,yes,200,11.789758755417814,5,6.4787698521566695,6.636056759148607,0,8.55094448411956,2.922366648506652,100,8.375024814700343,4.113939350439958,7,2.8174439961145845,6
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-ID,44,736,282-7765,yes,yes,200,11.966452679352011,1,8.62961280662514,8.354639212474815,1,9.903716129073398,1.919298616629434,200,5.423909586836555,3.660109856020425,5,9.7851032203092,3
-MN,85,777,907-9712,yes,yes,500,0.10851173700543182,4,1.0303165963983618,0.8717919617680838,0,4.5883762509230746,1.9366588289014124,250,6.004386347328303,4.325070476114239,4,0.06730127868253888,8
-OH,45,797,442-9583,yes,yes,600,4.879277834063177,2,2.1029121390910315,6.729801498354899,5,6.7326301857522095,1.7918130241836183,200,5.890931460633341,4.430575486740449,5,6.631820936414285,6
-NV,46,788,177-7997,no,no,0,3.721547894755729,1,3.7642724945686203,1.7968771337218454,2,5.167204503258606,6.118200584513176,300,3.7784633732795228,4.619495100860551,7,3.4950842572092737,6
-MO,105,777,521-6491,yes,no,0,3.8941351803206987,3,4.187781447896427,3.8322544085337937,6,3.645757644767864,5.4393003485295415,200,6.361522991619082,4.839218517137726,3,2.050319764808911,5
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-SD,2,836,157-5792,yes,yes,500,1.0745946940963909,5,4.632831997673562,3.200614678618055,5,3.5161366325871857,2.8058387262575577,200,3.987836897475984,5.790884040010169,3,4.784388382781008,5
-IA,46,736,145-6969,yes,yes,300,10.167620441603344,2,6.833913675256128,6.049525232621048,1,9.378584784898074,2.3279426895048347,150,6.169106454453193,5.43581804412255,4,7.4736671777220725,5
-OR,198,798,172-6169,yes,no,0,6.942415972003925,2,7.516201582074585,4.239020220773831,3,4.291985254429156,2.3164972166426887,150,7.231523192753638,5.489628555698959,7,0.7725291143054259,8
-OH,136,797,863-6899,yes,yes,400,1.7990911898895767,5,4.504062501767531,4.318699074862159,6,3.767515385970397,2.9313284289835297,300,4.92055276330283,5.408939936919571,4,2.908557629613662,5
-SD,151,836,119-8208,no,no,0,8.40933757695846,4,7.767960951932781,7.296420940880176,3,6.595408656418583,3.854854632382657,150,3.5829460748413684,4.643498751406543,7,8.956684517111912,3
-OR,36,798,649-8814,no,no,0,12.101325445282646,6,7.998275464382421,7.915563729229686,1,9.1911784281097,2.468576826277588,150,6.8928891609722,4.296234414452778,6,6.3079116272972096,4
-MA,159,776,863-4372,yes,no,0,0.5304743128404485,4,4.3754146484170136,5.617940441613028,5,2.0991699261608856,3.8725761340292615,200,0.8398051891975324,5.155824456191938,5,8.525918031875293,3
-MD,52,776,963-2792,yes,no,0,0.38322286935996003,2,5.403930470610296,5.188010609889355,4,0.2219294153439062,2.413480312784896,350,6.5796575535388335,4.472505253371276,4,1.5030293884224388,11
-KY,80,758,557-3009,yes,no,0,4.342665463473587,3,4.883159882889378,6.77311877185964,0,3.7741754003457086,3.1732412963639294,200,5.8151828294690056,4.051798365444434,5,2.8105986573417567,9
-ID,190,736,274-4867,no,no,0,8.229809940359246,2,5.456087348022999,8.410753262734955,1,6.7109524580953535,1.4626733272016463,300,6.99392716265235,4.587915207409707,7,4.168378769915393,6
-HI,190,727,902-9514,yes,yes,1100,6.722688202666907,2,4.864213559563853,5.532567026574147,3,7.4626889507947425,3.83520273469476,250,4.349186327472198,4.269893232939713,6,6.76296711034633,8
-WY,42,878,308-4773,yes,no,0,0.5903548128867957,6,3.5911231761001945,4.729604016045134,6,3.2814725996768863,1.7030889682218575,400,5.283575379122031,5.402302883441081,5,1.7543511208417848,5
-NE,54,786,190-1592,yes,yes,500,3.758662317405463,5,5.988016902704035,4.597367543302279,2,3.727475421909121,1.4968520752599948,150,5.82083484005592,4.439075375319722,6,1.6080719356538595,8
-TN,126,847,519-7966,no,yes,300,6.096386058998501,2,6.1179330668542296,7.288398999645612,0,5.566612924244461,1.5105911800275638,300,6.6337885355590815,6.649567105052613,4,3.98808092041146,7
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-CO,135,677,975-4556,yes,no,0,5.8885792876992475,5,3.6577792242958065,2.4747927317245395,2,7.3797507343296544,5.847915259306602,150,4.7575764220975145,4.9931770218513005,5,4.282996790469666,6
-OK,3,797,313-7846,yes,no,0,0.3123801880785697,2,0.35721288204018103,0.0916058930677357,1,5.127059331202107,2.4393154841130142,350,4.623760833783357,4.665995875435613,7,0.22213958691162272,8
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-SC,45,836,637-3765,yes,no,0,6.079089012402863,4,5.72047409265023,2.9613161977975424,7,5.50318071931768,7.91532451524939,250,4.058883816350484,4.510691155381416,6,2.46642250607255,6
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-WA,42,876,771-7688,no,no,0,7.114836111505136,4,6.9057205579266565,5.79505290269987,4,5.5772400714636365,5.4008885746923045,100,3.487983154856153,5.539008682282884,6,7.922374334824388,3
-NM,4,787,710-7205,yes,no,0,5.191855365959778,6,0.4694633643286474,5.739294800960916,4,6.811598747550759,4.1373576140601065,50,5.811386260983968,6.778437284822076,6,5.576567550150704,7
-MA,181,776,546-9264,yes,no,0,7.586870932985679,2,6.915924494993447,8.080148065526082,2,5.430463860458863,2.7709381101936,300,6.231723210411139,3.6452312810570016,6,4.1718742277472325,6
-NE,139,786,668-5296,no,yes,400,4.231422789075872,2,2.8569667154021,4.165976480536669,0,4.956509479951498,4.5881176593146025,150,5.555831733868012,5.9964409749680385,5,3.5786082477138437,7
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-ND,175,786,824-8163,no,yes,200,7.5211404985725805,3,8.649149233522406,4.453776259385284,4,4.873382399682269,2.4723574960560697,150,6.656449231404759,4.145601791431116,6,1.2252072417734592,8
-ID,11,736,762-7230,no,yes,400,6.3098846742358194,6,4.301245678906053,5.596665159354094,1,4.307091812416674,2.5960719964875425,100,7.582104629562083,4.35071702948167,8,0.2526901392622332,7
-AK,59,657,966-8485,no,yes,400,5.619950955094186,2,6.481472213084179,4.601637417617979,4,4.340101883066857,4.469908505698365,200,5.158134959954049,3.7680949168631264,6,3.5366113677881725,6
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-TN,20,847,868-9788,no,yes,800,8.821227187049324,0,7.276315555472332,6.391612932453545,2,5.4010049102268205,7.480152992140196,250,4.198923544655173,3.9898517912058455,8,5.750496488800675,6
-MI,138,777,265-9099,no,yes,300,13.909674104013805,8,8.136059413736985,7.1807445497628,6,7.540438838440371,5.897099386215133,50,6.914836291479138,6.146541539797032,10,3.774153931447596,2
-SC,25,836,576-7434,yes,no,0,7.616032522274108,3,6.780666965744546,8.2549751277002,2,5.0627576254668964,3.2639263013720226,300,6.54500934485684,4.835123538242381,6,3.20161869039764,7
-MN,156,777,560-4123,yes,yes,200,5.1702616975494005,4,7.144966655411552,6.592128328345924,5,3.1410368054250966,3.615887758182837,250,5.681126982006173,6.551662013538478,6,1.6380552359560587,8
-NV,21,788,597-2357,no,no,0,1.5238821092479893,5,7.349531844746915,5.842437065377848,10,2.17992926190154,3.2192820742816983,200,2.142889872805701,3.844713248720916,3,9.48895395838808,0
-KY,168,758,114-1011,no,no,0,0.3332704236333015,4,3.69875114123851,4.247965545184105,6,2.092811090988098,2.9683356231503115,250,3.805456209649334,4.146769071878056,4,3.8427870319850808,4
-NC,184,786,103-2296,yes,no,0,2.3460550568148184,4,3.62253163573472,4.163378703145747,2,4.424351494421601,2.2802194105453197,350,5.361401882895173,5.092647810695944,6,2.2125048612124067,6
-OH,4,797,125-6326,no,yes,200,7.620806666807375,2,6.568270976444997,4.982201721783978,2,6.181688019701323,3.182433890429341,200,6.805775140424468,5.949495831578429,5,3.0494090454007416,7
-NJ,79,787,874-6922,no,no,0,9.754087584179224,5,7.39441342493796,7.770598826676425,5,5.269186040951658,5.8640729998948755,200,5.26229764818617,4.581036953823225,9,5.1826605882394645,3
-IA,126,736,981-4136,yes,no,0,1.1129122965677514,4,1.4978831696645167,2.7716229115183832,1,5.051099294309951,2.7244902156686712,300,4.035250455695377,7.028834399724233,7,1.53008724819938,8
-MN,183,777,523-7047,yes,yes,300,0.9461370746142429,5,3.36545010320232,5.448324272714523,4,3.5407529937706803,2.5050481233750115,200,5.0055324478406185,3.378398389024142,1,6.086949854735082,5
-MD,104,776,733-8545,yes,no,0,16.68262402698549,4,7.787030696487204,9.099540654516764,0,10.370006467119524,3.116373801258291,100,8.462596649104361,4.4665620899835154,11,5.254090553996253,2
-WV,105,878,550-2522,no,no,0,1.6122068195873809,6,3.435206414184369,4.0434686358426895,5,4.498809680622705,3.6874809714351,300,4.279794906950565,6.963500137528134,4,4.4802453501449815,4
-NV,47,788,940-7205,yes,no,0,1.4091520494641665,6,6.36788525815404,5.442449375924832,12,1.5417950899396735,5.489798394490193,150,2.7346677946907723,5.888058650790201,2,6.548328792120006,2
-NH,146,787,317-9023,no,yes,200,1.2961248411878639,5,2.8776975266102256,1.5620104110255553,8,2.8186999725075195,4.860727528142183,200,2.3195032128830646,4.57204479338333,4,3.9667306466198666,3
-NE,187,786,691-8852,yes,no,0,2.1277609974546805,4,3.4697745118760355,5.089965377393156,0,3.7986424584412015,1.7398761036637165,250,5.5810818723440585,4.349749334431268,5,3.1069105257883525,7
-NJ,54,787,534-3642,yes,yes,700,2.7014083872196855,2,5.2769760075522365,6.789502576886475,0,3.3774820181004435,2.008499169418065,300,4.308476598552305,5.416382434486228,6,4.587823080451133,8
-NV,122,788,205-1145,no,yes,200,8.548186314386694,2,7.790802537163337,8.352866915706965,3,5.994655129169077,3.859542014559327,300,5.329410357320466,3.178246758829878,6,6.392981896062047,4
-CA,101,676,539-6813,no,no,0,7.004807441444742,4,3.9743975388171786,8.478350611926732,3,5.917503033343344,1.9119535945104569,200,5.686980495828991,3.5407736441590503,9,4.922889286736129,6
-SD,98,836,765-8607,no,no,0,0.19725786082111266,2,3.9169279236628616,3.838697096335381,4,2.0529010722486194,3.965885700049373,350,2.9437545622293766,2.4943089956856297,5,5.088002831491118,4
-NJ,89,787,247-3369,yes,no,0,10.575914021729874,3,7.755177579226714,7.413592129337577,1,6.458611471202889,2.693972328396828,300,8.938276797958311,7.462608267205981,6,1.9689035799256631,8
-MA,44,776,675-6093,no,yes,200,11.785825085805756,6,8.41378168740093,7.531382701492996,6,7.098030054514028,6.180472045099903,100,5.453630730910021,5.860568766079585,7,6.404418868267193,2
-MN,21,777,403-1505,no,no,0,0.8438585898741922,3,1.1247563758194676,1.3477250198014177,0,5.452819135957375,4.749775942599953,350,2.7830048751381264,4.384146052764612,8,2.254931801315192,7
-MN,147,777,969-8281,no,yes,400,0.6004200921650682,2,0.3710983975589066,1.1881790416289837,0,4.752865195461467,4.858085817032833,200,4.131359971842689,5.514924310498061,8,2.2189472506554084,9
-AR,41,658,872-6616,no,no,0,4.739137570004027,4,2.917627724485835,4.093378214004758,3,4.594130726813233,6.705291111702987,100,4.67859828844808,5.447507292295837,6,6.1547354294143135,3
-NM,136,787,463-5915,yes,yes,900,1.2841747766174976,3,0.18486805550926988,1.6269929179450653,3,6.224857291598827,4.7245184406914635,300,3.268507923146045,6.324378638055105,8,2.596816927698979,8
-NJ,131,787,564-5090,yes,no,0,5.910436853619442,7,3.613539473129565,7.39790682023806,0,6.9797692023888755,3.716214801959797,250,4.749491319039417,3.9198128402085914,6,6.6984377187283926,6
-SD,155,836,908-1790,no,no,0,4.251494232093478,5,3.0228166709293993,4.916620758815943,0,4.760955309819087,4.357960347737819,150,5.791405593076168,3.75769501955879,5,3.9644513508175137,7
-RI,114,827,124-6703,no,yes,200,11.652357425176639,2,7.74329438961329,7.839499009418852,2,7.848894887998125,3.6269121058927114,250,7.6256749916419375,6.019588139233005,6,5.280563251177532,4
-IA,178,736,296-3534,no,yes,200,4.858360132120028,2,6.869858201822634,5.6401550102603055,4,2.700567465124416,4.0631868617759785,200,6.07546399193348,4.142877191538647,5,1.3306942680638012,8
-LA,94,766,625-4759,no,no,0,5.87743392109746,3,4.846413390679613,6.284411049207896,2,4.6673354697594105,3.06887430906746,400,7.922157229176964,3.2746552442857504,6,0.3393565239339207,8
-WI,34,877,136-4395,yes,no,0,1.4835886981182678,6,5.792071722240605,6.07633193242023,8,1.858701914155218,3.3639757948417275,350,4.12661759706475,5.0822581696007605,5,2.623232522484676,5
-LA,33,766,390-4098,yes,no,0,1.0616137250021709,6,3.8700385212631168,4.646429186252128,2,3.969835634872344,1.6019472792068172,150,3.6285796948336655,4.510397169296093,4,5.372259815297119,5
-WA,192,876,132-9691,yes,no,0,0.6489126199478257,4,3.244036400221072,4.7721179909236575,1,3.420767127901499,1.1858220603546727,300,3.8065424752270283,5.9714322708253835,7,3.831466730252165,5
-DC,132,686,603-3676,no,no,0,3.0214218945118674,2,1.050645351533375,0.1136626681255759,2,2.60749471818049,2.9481154348597127,200,1.654405331001767,3.3239276315032846,7,3.6306719378184593,4
-NH,36,787,386-8497,no,no,0,5.4794615572727325,3,4.794036925701568,4.799375730540387,0,7.122030877453279,2.1070466631412312,200,6.137286632374765,6.3273509808457264,3,4.5027155757989314,7
-NM,162,787,997-3334,yes,yes,800,9.119563600056493,3,7.1799506193641225,5.911692196085383,2,6.773684877050117,5.517348019296894,300,4.559137940494328,4.730029432477118,9,5.03165969110179,6
-MS,139,778,742-5779,no,yes,400,7.363150629760611,7,7.534299992533913,6.69176393858168,5,4.489402390355537,2.1864581265751566,200,7.543548622827276,4.447119782702323,6,0.7444553380505239,8
-AL,131,657,178-4864,no,no,0,0.4266595108438187,5,5.852785883113308,6.775951356937318,9,1.108897509126071,3.731121818516767,250,2.9188756335798014,4.0194148622372285,3,7.6687272880381885,2
-AK,143,657,695-8933,yes,no,0,2.3657437449658447,1,3.499384263845456,2.286734583434315,3,3.51611077931542,5.619774483694142,200,4.45203459441769,4.115104811028319,5,2.7597472317867733,6
-MS,133,778,997-9385,yes,yes,200,0.4273540605041735,5,4.462738418183201,6.362588222810724,6,1.209427062004913,2.126221947099172,250,4.60541372907749,4.227852308443596,2,4.6242007382558175,5
-WI,185,877,886-4668,no,no,0,0.34638100624396184,2,1.4409669077233682,0.8806734727558291,1,5.094658386031101,6.16086346626796,250,1.7370352000275178,5.472797123884171,8,1.0616418211837244,7
-DE,129,686,238-9185,yes,yes,900,3.9223432128043085,6,4.857277559581253,6.395036870786818,1,5.676164197897857,2.247619848891496,400,5.017687422442653,4.9456614261394165,5,5.103249554717113,7
-TX,54,848,906-8503,yes,yes,800,1.2952447309956838,2,2.5886490734630074,5.2172789600463885,0,3.487908704493372,4.294056448910597,350,3.0339111007896644,5.46480064817305,7,5.043969783391021,6
-DE,9,686,968-6884,yes,no,0,0.5346560830235028,2,3.0664608984219988,5.217150672923461,3,1.1852509530018278,3.742085735779602,200,4.15193304512221,4.07677926201576,3,5.252175144361226,6
-NM,115,787,620-9100,no,yes,600,2.604206930422348,2,3.2319001919675823,3.8660997690999084,1,4.104276746621882,1.7365873197572004,200,5.935793438100458,5.936213601880392,5,2.5844644695671333,8
-NC,93,786,692-3993,no,yes,400,1.8809772637509168,4,7.652867253181955,8.411636282956259,11,1.0644553191590105,4.2731655229294985,400,2.8943704579835385,3.9887809472552247,4,8.30495993207558,1
-MA,111,776,295-6546,yes,yes,700,0.06716195625744614,3,2.5540209908019404,3.9995373826963103,1,3.0631855528199763,2.3858119222232954,300,3.2830079664980034,4.8639524455573255,7,3.7797395336273683,5
-MA,79,776,390-3047,yes,no,0,3.0255427466786267,3,2.168750587628291,2.4519971696639233,4,0.9106968372215912,2.172700159180046,200,4.052174211621069,6.647425764472259,3,2.7732273330627417,5
-LA,140,766,128-5385,yes,no,0,5.7767680863881505,3,4.86108765270347,3.7175358978271835,3,6.5940059619156886,5.4193457018216,350,4.547316372020441,4.79331092686819,6,5.2930916272232595,5
-MA,191,776,146-3142,no,no,0,7.685394923561123,4,6.092244254310754,6.787688724937175,3,5.59132938197146,5.341815227603883,200,5.041620655527409,4.634912645108844,6,5.784334102184625,5
-NY,147,788,698-8735,yes,no,0,2.051266200023531,4,2.779604815470155,6.271028176752572,7,0.6367432844188379,5.2408250473453135,350,2.3900615343496465,4.000845056939681,3,5.9162967711852446,4
-CT,109,678,888-6453,no,no,0,1.1581419945792215,4,2.6755735912742673,0.5439118180942266,4,5.475676551149032,5.269215607981582,250,2.8089890162370907,5.618249191349597,5,4.626851338133614,4
-IN,167,737,234-2678,no,yes,700,7.2501227931282815,4,5.956773550137867,7.025722051050763,2,6.073476408313071,5.672771199846468,350,3.704740261995308,3.48442027509036,9,4.8188263355265315,6
-TN,76,847,694-6149,yes,no,0,10.691682945579023,3,6.103547432066745,5.879800152792815,0,10.384513544873274,6.286738324894433,50,4.186829896962194,4.857556931231293,2,12.68805861930003,2
-ND,187,786,687-7827,yes,no,0,7.962460068760168,6,5.4907871024004935,5.692171310103903,5,3.761457989472352,4.3411624301325915,150,8.41133003892056,4.6998276943505735,9,1.8414269025771537,7
-OH,26,797,221-7773,no,yes,600,2.2616046791287543,4,3.054237761246388,4.765413591598745,5,1.5158343607812728,3.5405418408212963,350,1.4290214588320531,5.4616526438908455,6,5.39704137427742,4
-RI,177,827,610-3997,no,no,0,2.09276989531031,5,3.8787764251513885,8.390969555515499,2,3.209590846168428,1.9584236753966595,350,4.535364851230956,5.204256596502035,6,4.930525524942476,5
-VA,183,866,273-3176,yes,yes,300,5.805241755676232,5,6.3840821927835725,4.0715506582028365,8,3.302608470804504,6.562506313173195,150,6.1781301796470425,4.223224509551469,5,1.3841729964503393,7
-MA,10,776,991-5554,yes,yes,400,9.117525338319805,4,6.7866938345565275,7.307660270629487,1,5.381760212200158,2.3732338335190644,150,6.5403750776330325,3.179815862435797,10,2.210696894092376,5
-WV,176,878,914-6640,no,yes,500,0.5020629913880209,1,3.648064405340452,2.8629379200261487,6,0.7591866355512735,3.948474056101409,350,4.231651298550259,4.747422817226672,7,1.2142235059123454,5
-TX,167,848,349-1489,no,yes,400,2.825817741090933,7,3.6256049378724224,2.662676631625096,3,5.851969402596148,1.3703605194820918,250,5.345937360543665,5.337576833952693,6,0.5459630875359691,6
-IN,80,737,388-3812,yes,no,0,7.464251608190335,3,6.272825913059247,5.43704142952778,2,6.040877053782988,3.8127799417698167,150,6.39809935131153,5.074269366789778,4,4.430619772340218,6
-IL,174,737,168-8317,no,yes,300,6.982199859516115,4,6.4807745375627706,5.972648650528263,2,4.985330645477318,2.6290807660088653,200,7.308794268421169,4.135380906044993,6,0.9978871816526677,8
-AK,70,657,120-9224,no,no,0,1.0942250389597694,2,3.101087546296432,4.832179804989822,3,2.5608285854633603,4.794737923552714,300,1.5055732740152328,4.205851901764701,3,8.231914289305276,4
-DC,140,686,980-2372,no,no,0,8.016607388732577,5,3.608554169696189,7.611381360893657,3,7.416120837222579,2.737481075931273,100,6.623632218095766,4.999979568739907,6,5.615188981978389,7
-NM,105,787,978-1631,yes,yes,500,8.383548659924166,5,4.58318441700641,5.554507136235776,1,7.811720337651045,5.067738346670873,100,5.6794591966590895,5.424710671158806,5,6.527746399778758,4
-IL,123,737,939-4286,no,no,0,6.9381306686761866,3,6.708278655486931,6.448058223895052,4,4.261267374941944,5.146717745579175,200,5.259939592993297,4.492298207370927,6,3.863853564680592,5
-VT,182,868,406-6438,yes,no,0,4.958468610796113,3,5.797486423956753,5.247735373528137,5,4.934561138963597,5.505547397364751,200,4.302741212298941,3.0846097788818705,2,8.03000065559938,3
-SC,33,836,460-9627,yes,yes,300,1.1813910283009754,5,5.2193778745432855,5.134244507251031,7,2.2318877567515867,1.9720503885384584,300,5.420084569970888,3.3733764642370168,4,2.737394333722192,5
-OR,103,798,142-5121,yes,yes,600,3.6796263996868994,7,4.685000701501539,3.782159801331436,6,3.260011101044538,6.602505398084677,50,4.0994363599794905,5.786788599831297,5,4.119502429586092,6
-KS,58,758,920-8551,yes,no,0,4.26954169240539,5,3.972347510653063,2.4021993612098442,7,5.3832505575489025,6.556495659361633,300,5.8643742021475775,4.340223593060607,3,1.899805504066968,5
-DE,121,686,442-5491,yes,yes,100,3.1860410093227203,6,0.7308700776116765,1.467721759156889,5,2.620685167359317,2.619790935181695,250,3.5714963757662885,4.477612344391905,4,1.1005530826548608,5
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-RI,22,827,128-4698,no,yes,500,1.4030208247025984,6,3.2775573024584084,3.5098835577331235,5,4.4512575239151015,5.600713303808696,400,2.0795273712890587,3.795765537217183,7,2.91135348220483,5
-TN,12,847,637-1141,yes,yes,500,0.6614038626717669,2,3.9966582378702187,3.3723140686329023,2,2.046281211843032,0.7133335681561555,250,4.804278810065195,3.622864741542252,4,2.8624493794601977,7
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-OR,161,798,917-8492,no,no,0,4.668745612614068,4,5.036016007681736,5.312832923101074,4,4.50153034094075,4.984486450409037,200,4.699377297968783,4.924376978066212,5,4.456267421899459,5
-TX,18,848,902-8334,yes,no,0,6.637888713149526,5,4.209033281829599,6.1932841671603525,3,5.153776379821705,6.014513103434712,150,5.547903406541601,6.510528594372151,6,5.334256697056689,4
-MT,143,778,427-6137,yes,yes,500,3.1994068689060247,4,3.6165657500285615,5.19865251363976,1,4.671317217599579,4.2410419901909435,200,4.701088171629396,5.293875558336381,3,5.839666691314738,6
-SD,83,836,851-6724,no,no,0,6.133558306340787,2,5.129054145221343,6.238571520447897,0,4.8286642246645854,2.4054099768848314,250,6.615455261313139,5.597540290410906,7,2.459271078183243,6
-PA,193,806,268-4279,no,no,0,7.340666704719392,4,6.863617165970987,4.3612966246542255,8,5.756161616849678,6.707566070110554,250,5.821448878208329,5.726710014646518,4,4.248640125116492,4
-FL,194,707,390-8596,yes,no,0,0.7758418683545374,4,3.9671601911775154,4.463985621520372,7,2.7830474806344507,4.345446933446249,400,3.586812083345893,7.572442007268879,6,3.285862233772905,4
-WA,91,876,854-8433,yes,no,0,6.9546575317576895,1,4.352124360589562,4.329996954916815,2,7.112986928723911,4.494980439722037,250,5.306319916651009,5.988918513159205,7,4.102159079239667,8
-CO,175,677,223-6598,no,no,0,3.579378082507744,5,4.495831629114781,8.260249381460827,4,1.7231368978986934,4.011491811726569,300,6.289429756439049,3.720274864405501,7,0.7634856244273083,8
-DE,103,686,473-4178,yes,yes,700,0.5092245673333347,5,1.9146200848869,2.7864768322113385,3,4.371192850279982,4.227925097118553,300,1.3050938185573844,6.4624481154048645,7,5.482944367774019,4
-MS,172,778,543-8454,no,no,0,14.358887022666385,0,7.425043322402284,6.886026690952875,2,10.516698531420246,3.7657640092889135,50,6.765377690155728,3.0247829354084383,7,6.5407687789975615,4
-TX,179,848,719-2128,yes,yes,400,2.437058030412933,2,4.855993339404174,5.900532264580496,3,3.0128315791586835,5.502283036032739,100,2.6131905920462053,6.008681287890289,3,9.44238625521357,4
-PA,102,806,648-6303,yes,no,0,1.2552799704872235,5,1.3331572725308467,0.1983701426271276,6,5.709397515195445,8.585798804218463,250,1.5123936084012946,4.758622556979514,6,4.369496263461545,3
-SD,139,836,169-6525,yes,no,0,10.122498331848377,2,5.905358650823058,8.955541029699845,1,8.226556619779315,3.810289246452514,200,5.3217921456635215,3.804097041931716,6,9.24192644296744,3
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-ID,20,736,590-9748,yes,yes,400,5.419735581506788,4,4.749082029824576,6.387621809645849,1,5.8744007688240165,3.6695427822807902,250,6.033108770616957,4.714581462554801,3,5.4723203569247865,7
-CO,119,677,266-2855,no,yes,600,9.466324392303669,4,6.228710650038593,7.710620685489864,2,6.426871011547965,5.104550263567084,150,4.418645667705558,6.482599298911485,9,7.807554612496338,2
-MD,43,776,656-3136,no,yes,200,3.57157679458734,0,4.873253924037784,3.1782878921165763,6,2.5148198222847884,8.349986161401386,150,3.622709050482217,4.807514248256775,5,4.460422256819363,4
-CT,87,678,173-8028,yes,no,0,6.661203603589366,4,6.379045884897548,8.242390622178593,4,4.873448729062801,5.902987550767634,250,4.247947094245985,3.243341108559373,5,6.783616477822237,5
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-DC,128,686,336-9086,no,yes,800,12.992799388207253,2,7.360414323075582,5.6301494613433585,1,8.6095286239911,5.609539243084239,300,7.906134314604777,6.669412327064138,10,0.07776900883223536,11
-MO,169,777,733-4956,no,no,0,8.582965555640307,2,7.3164031539069425,6.740893595370045,5,6.196260047742831,5.91269118032471,250,5.107956498101116,6.972216477319171,5,6.724757516171517,3
-PA,150,806,733-1878,yes,no,0,5.5748572687012485,4,5.665458739272566,8.918928773339593,0,4.911584051749963,2.9295596392071133,350,3.5604477918429613,6.015590002751869,9,6.022259423717153,6
-MS,179,778,295-9936,yes,no,0,12.268303054354847,2,7.628466271960328,9.644998986954883,0,9.484744936210738,3.2982691365348944,200,6.201739992580247,5.707510994556675,5,8.714356895022174,4
-OR,3,798,962-4642,yes,yes,700,6.231510305235507,4,4.9934230650691775,5.378705952996715,1,5.819109600895102,4.710212491847759,350,4.854388979801951,4.447795654037718,9,2.0500328103477825,7
-TX,127,848,898-4037,no,no,0,1.2524808323518544,2,5.931414357759793,5.147808151441577,6,1.767795303595637,3.277284906905209,200,3.131287670552616,5.516328668467459,5,5.935091455859586,4
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-SD,37,836,202-2695,yes,yes,600,0.5031227207734315,6,2.4879009665506095,3.0745821686962715,2,4.7961289021942255,1.9394924267716616,300,4.450530860963008,5.411469456510542,5,2.5190938362706152,6
-WY,4,878,421-4537,yes,no,0,5.077805069176934,5,5.1686438840006135,7.138105212278068,3,3.8293265071876,2.8417199757781426,300,7.791431829557746,5.3508125447617445,4,0.5329907722976674,9
-DC,174,686,369-2253,yes,yes,500,4.5727455217268815,0,2.866747206846622,6.1171517498951244,4,5.276878591416335,2.3841932029217605,250,4.626989620416491,6.48991206420007,8,5.064105230013372,6
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-ND,133,786,419-8261,no,no,0,4.196653279007647,3,0.8884787711014113,3.3895780779184426,6,0.7926906965469307,4.333728899866343,350,2.2183622449751725,6.982570548939193,4,4.27711395182203,3
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-ID,139,736,471-5430,yes,no,0,13.101611271839127,6,5.92897394956458,8.309973084283289,0,9.159710270324165,4.753709911900351,100,7.119743650724982,5.198858922258305,8,6.618364203598242,3
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-MD,56,776,948-4845,yes,yes,600,9.424995337617963,6,4.982738159548271,6.472970992608722,0,7.9492914525232825,3.7503243843157548,50,5.120045447504948,5.53702978027084,8,7.32880532254083,3
-DC,200,686,114-5861,no,yes,600,3.9592231295202516,4,4.716116408334741,6.011744884826647,1,5.343706780286729,2.8655157022004705,200,4.177024134520134,5.313969451185061,4,7.290991128785822,5
-VT,177,868,552-1467,yes,no,0,7.5370509359440705,4,3.9063122612677996,6.112365208235303,1,6.948254898519722,3.638096306047016,150,7.765131918222173,5.533472145810252,4,3.592738580832332,8
-WV,134,878,822-8878,no,yes,100,5.585279345031763,2,7.40111095806353,5.457631806428346,7,3.6396151966232853,4.2575080195257495,300,6.041890605027508,6.083561009706387,5,1.8246413481093875,6
-NJ,100,787,196-9434,yes,no,0,6.540357439457952,4,4.754862870109279,4.080909185069931,0,6.70081318497706,3.855482809463227,100,5.2726724185137925,4.548845332918517,6,3.439561780610217,8
-MI,143,777,450-2875,yes,no,0,4.027939532752131,3,4.566918015527778,3.9141168151013455,3,4.546595056638271,3.9558281476406347,200,4.728844304010919,5.313598022464029,6,2.8196326343097278,6
-FL,16,707,483-5991,yes,no,0,7.814672332827821,1,5.702278722583432,6.7229121012776965,3,6.167583157906362,3.871431814586432,300,5.371994761519028,4.88891613065996,8,5.01787937235992,9
-NV,109,788,243-8448,no,yes,400,6.232516073006338,2,5.565949259815514,7.401403139218218,0,5.703372807284374,3.5591974949311465,250,4.33519351902434,7.149768436141103,6,6.657449664878168,5
-NV,60,788,888-3167,no,no,0,1.8019970888447643,4,7.389575811481893,8.274444326125051,10,0.5942065816155644,3.344450208933772,300,4.4733915450913795,6.23622975557801,2,7.893090739917438,2
-WV,27,878,868-9605,no,yes,400,7.201333702745679,3,6.311102213441844,9.257702442009316,0,5.528405405724944,1.4347247262844762,250,5.600572254788291,5.4803463313209,8,4.887546332839974,6
-NC,121,786,946-2630,yes,no,0,6.218065292306853,3,4.834581517826557,5.532920205740224,1,5.503389361004679,3.6120364654419808,200,5.849503510655378,6.110037638224035,6,4.277730996103552,6
-OR,189,798,233-4672,yes,yes,1100,6.037432216270216,4,3.806113519163405,5.440901040868403,3,7.373399538809992,2.1906777508434176,400,5.415622949916989,5.297093823229506,10,1.1240738219774171,10
-UT,99,858,407-4270,yes,no,0,10.26706663761777,3,8.463121448103617,6.832061266967106,2,8.741623430162408,2.0898060587581986,250,6.716252722218392,5.660472335828932,4,5.734339182036733,5
-ND,165,786,785-1532,yes,yes,200,11.6168353903032,4,6.355977703719348,4.686512170940423,3,7.514123034074581,5.619778583963286,50,7.530097968783005,4.7102363379983725,7,2.6896710324171282,4
-MN,132,777,472-3270,yes,no,0,7.381178260137088,0,6.799382136908733,4.259250463405362,1,5.855874685453844,5.8494587620785845,200,3.570039258586624,5.444815598164562,8,6.433595265445334,5
-VA,150,866,803-3893,yes,yes,100,7.671424797883053,2,8.696511388619626,8.225805012960485,5,5.180509656496963,4.827410228375529,250,3.782428129719509,6.521940593865224,5,7.292399598675325,4
-VA,153,866,913-3887,no,yes,600,4.863306697826067,4,4.424905182484799,6.047056983886784,3,4.30797872127573,6.453486433349443,200,3.6447815971048314,6.250152260755613,6,6.702298348649138,4
-IN,164,737,168-4657,yes,yes,900,9.331221083093553,3,5.8582627782234,6.564795394082588,1,7.117624162038631,7.539387380855371,400,5.1515622902793545,5.474914565825689,8,4.383942706707725,7
-HI,48,727,220-1265,no,no,0,5.787724953934599,7,3.806535911371992,8.004580620785259,9,1.0370430457784163,0.17669853776383349,300,1.5898713724127616,5.354168566478121,1,8.025399206900044,2
-DC,132,686,884-4433,yes,yes,300,12.373336822169044,2,9.296219744860606,11.791830333953124,0,8.148364845549045,1.3378415819286869,350,6.326966164501743,3.9455011829670465,8,7.794752506572549,3
-CO,84,677,333-5156,yes,no,0,6.823984125947541,5,6.843224301789147,5.6298280666724745,5,5.075061581385267,4.683011379849838,150,5.398294346209783,2.9264631602412963,5,4.539168053425827,5
-MO,119,777,330-8264,no,yes,400,6.492995208902793,2,7.877628101054728,4.113447003389008,5,5.6187030872321895,5.997934329057501,150,2.1572588569821147,5.389940591020106,5,9.018473417238372,3
-AL,96,657,873-7689,no,yes,1100,5.394180973494273,1,5.150322044121083,5.840631323494122,0,5.284191496362572,5.815414181648443,400,2.5367689719757194,5.258156448374207,10,5.241804609618359,7
-MD,88,776,679-9684,no,yes,400,7.756174746558624,5,6.085670698075369,3.8276134112912703,4,6.620408837772179,4.270962326977074,150,6.759574237774861,4.7540639441048365,4,3.5017297952557613,5
-CO,144,677,466-8809,no,yes,600,0.9614905359927208,6,1.680923185104414,3.3197988023347884,3,3.6095041314668035,4.027246502968847,400,2.8870227426034134,5.532852604778515,7,1.1302741854218017,7
-MA,103,776,424-1403,no,no,0,5.61956233640837,2,0.3835309739989654,1.0226307558691716,6,8.253083483056862,4.244840731495431,150,6.399019051731613,5.602287033892676,7,0.5060188022842356,10
-OH,159,797,440-1688,no,no,0,0.8034852315006189,5,2.6841646061913966,1.3628000070635222,4,4.259636534672186,2.810212727618789,350,2.233248859768532,6.770687406189407,7,2.586613668834361,5
-DC,116,686,628-8490,no,no,0,5.0048399820776055,5,4.640992492001005,5.1801228082776865,2,3.7989891054513074,3.4238500909444998,100,7.302521606752491,5.070124392051223,5,0.1861152031297566,10
-WY,46,878,236-8368,no,yes,300,4.157629495804703,5,3.8704564322158532,5.185369677616862,4,3.187434914484533,4.5136523285172085,250,7.949629918653233,3.1767240103414083,4,0.7474814891891031,8
-WI,178,877,571-3038,yes,yes,400,4.43029171759453,7,4.2396848896545185,6.348886032837412,6,2.7500820753370685,4.215607714241926,250,6.978311603325037,3.5108255274817823,7,0.21431252036380052,7
-HI,31,727,351-1811,no,yes,100,9.32821824698605,3,7.915155113329399,6.409541725138973,2,8.648874258988991,3.3591456171942484,200,6.746144002000053,5.27480372900964,1,6.655759796788014,7
-NV,20,788,309-1167,yes,yes,0,1.089074165123379,5,0.497056749698153,0.6527778536067688,3,3.783218824845034,4.349295634269298,0,4.488667668140503,4.872419475252693,1,3.349695186713256,5
-VA,197,866,519-6634,yes,no,0,2.9254836156627544,4,2.0341518489766783,1.4180802543436988,4,2.3978034314763077,3.1729295688779033,250,1.5529381325001081,5.328335346715411,5,4.715502422876469,4
-OK,188,797,860-2095,no,no,0,1.3388614049933265,4,3.5399210363352216,6.2623783926795165,4,1.2557701911473336,2.493981126201352,150,2.647234575657325,6.510729331448773,3,7.1550258711529855,4
-VT,100,868,853-3901,yes,yes,400,6.027553535661206,3,4.215417084686047,2.0875323018111973,1,5.95797205584612,3.645049545221721,150,7.092846076192608,5.970207105468592,6,0.09374143943195444,8
-MO,1,777,303-7185,no,yes,200,1.7525156498596337,5,3.12377094950864,7.0170936431980255,3,1.22906506871522,1.3198145052020855,150,3.5943839514120577,5.2857977513777135,2,7.916444982730953,3
-MA,54,776,841-5925,no,yes,500,7.142331868992045,3,4.160622969668776,4.790665225207656,1,5.61331020951527,4.614566141728334,100,5.7804022434812765,4.758758517960609,8,3.8568184942722703,4
-TX,60,848,105-5163,no,no,0,7.657289644198168,2,4.979888246899909,6.760714653206603,0,6.506420326445111,4.780832932456815,150,5.078661998928073,5.8122168803967,5,7.238413251884335,5
-TX,79,848,945-9680,yes,no,0,13.601934341042393,4,7.873577024925545,7.68960164755417,2,8.02602586579142,4.455068700972533,50,6.616181449435401,5.990576380843674,10,4.7953287422841315,3
-AK,5,657,787-8743,no,no,0,4.411563638120642,3,0.9166612687293654,2.286513708041423,2,2.1770574147001818,3.631936398409775,300,0.344980379645099,6.070936642210691,5,6.059675301164652,4
-WI,155,877,824-9259,no,yes,600,6.116089301189015,0,7.585039404226454,4.7851498785469575,5,3.5529202934259434,6.095769518078849,200,4.545357723172893,3.6181511478959014,4,6.918701208847129,4
-ID,189,736,268-2315,yes,yes,300,10.678078366566789,4,5.041395619692394,3.9299913857796662,0,8.070348258802806,3.1607291069953534,50,8.548682857290514,3.484139007284335,8,1.3025397967420005,6
-VT,64,868,605-3647,no,yes,500,7.443132643365009,4,3.9587226009232217,6.869382354608447,2,6.571708105680906,2.196485637261908,150,7.160511824063341,4.082949328932225,6,3.833125314269755,7
-IA,13,736,878-1497,yes,no,0,4.650246266774967,5,5.9757958590902005,2.9219509967944464,3,5.722206513438418,2.8421816927346293,100,6.146766554230231,5.122555816011472,2,3.5311375802329703,8
-TN,97,847,328-4359,no,yes,600,0.8984543631390292,0,2.234428247890925,1.8548262423186603,1,2.4220630293206984,3.9693398254613514,250,3.082129768183888,4.529558477443674,5,4.145693279247824,5
-NE,86,786,342-4057,yes,yes,600,0.10274811297795684,2,0.25815590380372555,2.222916466620438,0,5.289019270723013,5.615588576153339,250,3.5590441063578284,5.789352999038683,7,0.8058858559939326,8
-FL,107,707,228-5743,yes,yes,300,5.835734287841164,3,6.899055829026482,5.594346541389616,8,3.791603057661877,6.495647816043135,200,4.429607076033213,6.719086773861887,4,6.37886587348555,3
-NC,190,786,108-2288,yes,yes,600,5.220272634949963,7,2.3083544456717187,4.459716548323622,0,5.291972263761499,3.160186462108092,50,8.294075881699435,4.0367094259633856,5,0.1512009618935739,10
-WA,98,876,183-4262,yes,yes,500,0.06174231813030229,4,2.5903229309477727,2.6851326874509454,2,2.310341755740016,2.953285317927603,250,6.448322090996741,3.8611241531243015,3,0.4774316916016206,10
-UT,121,858,910-8335,yes,no,0,4.7638092742134885,1,3.671625946563756,5.2902815629495565,2,6.556828499571237,3.518007294903177,150,5.573307319821552,4.779033457238123,2,6.26642181113931,8
-WI,29,877,333-6057,no,yes,700,6.838737649555309,1,4.818373565345934,6.547972494390193,0,5.348081125743605,6.420992684118657,200,5.215898536713325,4.875007891126344,4,7.554428181287585,6
-UT,12,858,687-2864,yes,yes,700,6.940929474530645,9,3.47984917333412,4.491832405795262,5,5.844830005718298,7.3770694802808725,50,5.83562841777656,4.241768635987852,5,4.998100609873691,4
-MO,176,777,879-8397,yes,no,0,5.853568265380655,2,6.619083774946788,4.891456671411102,4,3.8831476864232277,3.0644904385667417,250,7.058284805385932,4.793449629641253,6,0.6985566568805552,7
-KY,166,758,120-9083,yes,no,0,8.591982889633838,3,4.839676025411286,5.092914779955978,2,6.963762816952633,1.2517437373108178,150,8.60357071104022,5.516963620756031,7,0.6557151927307423,8
-LA,88,766,211-1395,yes,yes,500,3.011483361619748,1,3.821746347310258,5.216294437717832,2,4.759046544957657,1.8155991865064265,200,5.5700755813127,6.235281038355072,4,4.437649872403151,8
-AZ,187,659,225-8838,yes,yes,300,0.9027448546786676,2,3.4207449959905807,6.3099418470430395,6,2.1971028008851885,6.986621876603444,250,2.7942377831447995,2.9752950257084523,2,9.138511790117352,3
-ME,143,776,454-3944,yes,no,0,10.96167830740269,3,7.393684747647918,7.300368888435163,0,8.817668783653533,3.3335961823612283,150,6.32065656558816,4.731639715222145,5,7.098124329129712,5
-SC,192,836,711-6909,yes,no,0,1.3797798654282247,7,4.2041914962927125,6.140145768596397,7,3.1979899565584025,2.5908242544530946,300,4.345388066782172,5.502096440965233,4,4.6885926073210475,3
-TX,32,848,557-2673,no,yes,700,5.640697621730497,4,2.14362258970663,2.832870172099955,3,7.775422852592957,3.6191845104517513,200,6.640443987346036,5.7748197548403715,6,1.1205717865842817,10
-MS,182,778,970-2299,no,yes,400,3.785648368104946,4,5.535212212173422,5.309777495877087,6,2.4822221879367388,4.251949485683558,250,5.185586416848127,6.760575306120358,7,1.7057834772151046,5
-OH,99,797,901-8116,yes,no,0,2.453977438012467,4,2.960159218417336,6.4158779597528435,0,4.793533659911741,2.6755034924742223,200,4.282102325298891,4.231484152117522,4,7.323062673128238,6
-NH,13,787,224-7460,no,yes,400,0.06628827907848933,2,4.3601378833119,2.502166817938376,5,2.3953459284543257,4.693981704418845,200,2.117677454986312,5.302707355763342,4,5.95581108406451,4
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-IN,92,737,260-8580,no,no,0,3.453665746062148,2,3.5051648226425485,0.3296088526333749,4,5.256701245913677,7.1001882856508765,200,3.4656409845550686,6.31259795777342,6,2.8727184324461232,5
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-ND,31,786,657-1315,yes,no,0,10.228671813437714,3,5.215344747270012,6.22758994297183,0,8.292407119261345,3.9655302981794827,100,7.211806614265226,3.7152803212927092,5,5.099810815410794,5
-MO,7,777,581-9655,no,yes,200,2.2949527292715253,5,6.039233802166711,6.143270398975723,10,1.9043757733953792,4.050385826116113,300,4.7303440042933165,5.690205843359903,4,3.314615558081917,4
-WI,158,877,276-8068,no,yes,600,1.6357343295878124,2,3.1438049972668214,0.5803223404893378,3,4.785583682535731,4.702098579810303,250,3.5710919817938573,5.066557339796534,7,0.5323529538416176,6
-RI,75,827,163-4839,yes,yes,400,10.645254799982037,5,5.36479724063602,4.062459666678132,3,6.2503426672686775,6.556092267020543,0,7.161860793743378,4.560576348530703,9,1.8943395186285892,4
-NE,165,786,333-7309,yes,no,0,2.7724112763582256,6,2.9950081455938817,1.1894475481632978,5,5.507167913609339,4.317731102176199,100,6.044199920145505,6.161106178921272,2,1.7170110132277618,6
-NC,87,786,228-6169,yes,yes,200,2.384250673007162,5,3.475848141285562,3.8393640053876017,6,1.2857262895620103,1.8854231028270003,200,2.7507917264832473,6.263476710825057,4,5.127399502833457,3
-FL,180,707,253-9327,yes,no,0,16.135189606376695,4,8.015860064884714,5.939526780322559,1,10.983588316274913,4.826113017047179,0,8.311212801021737,3.1837513304200664,7,5.261750762846549,3
-VA,115,866,834-9342,yes,no,0,8.04875112813543,7,0.02496080418714186,2.6922478773973104,6,0.040698137635035714,0.2216554102798174,450,0.5862854978350356,4.6814995542787115,8,1.1744754239739867,4
-IL,28,737,822-3395,no,no,0,7.873050769881598,5,5.998790036028376,4.5836682038052485,5,5.870021652149153,6.576351174922428,50,5.8695051754965535,5.9420337652457675,4,5.042508439557592,5
-TX,156,848,897-8169,no,yes,400,8.313083740203847,3,8.288505631956305,5.81476017346532,6,5.09478152704763,5.085587179613394,250,6.125541239976548,5.556054069096541,6,3.1241127076880546,6
-OR,142,798,818-6035,yes,yes,200,10.115296284066162,3,9.259188641018408,8.311214574638372,5,4.9198453377538485,3.4061534183297866,200,8.245100832287495,4.466754787077359,4,3.5498328771907475,6
-KY,149,758,748-2512,no,no,0,7.097322798175043,4,5.5124715532889175,6.584322844229691,5,4.129974139574241,5.675764194204383,250,6.299119990894938,5.529261909783322,7,3.0341705992725627,4
-CA,116,676,864-2826,yes,yes,500,2.169419296996665,6,5.8678267555343915,7.205786078588988,7,2.68912478786452,2.9078128035454767,400,3.9833183103053713,5.703101161212119,6,4.337039229009465,5
-OR,2,798,275-9576,yes,yes,300,5.153157963047558,6,5.495327142473136,4.404032196381532,7,2.9814714644488736,4.796959893788227,200,7.027854484398028,6.600320301832119,6,1.1667649981876869,7
-PA,21,806,419-1549,no,no,0,1.8806924839225705,3,5.466092097196668,3.437827529551696,8,2.7502525388805554,6.709929112712028,300,2.217167572755474,5.676805842555798,6,4.468420275050674,4
-VT,102,868,666-3634,yes,no,0,0.9316659301778448,5,4.295807263270716,6.576030468168362,2,1.9252663611427543,0.7285803221434657,500,3.19869181254453,5.07372032590367,10,1.468861325036129,7
-WI,123,877,240-3384,no,no,0,7.328331274572031,5,5.5054509748503255,6.881825175846824,2,6.545406150056134,3.277567257793532,300,7.3227190331929455,4.584856793772492,4,4.663210355584229,6
-IL,16,737,385-9709,no,yes,700,2.987053302334666,3,3.6168649295947097,3.3372169626735597,3,4.8441294150749945,7.059707459189923,400,1.8649290014133648,4.6319136043141365,9,3.5954625301541445,6
-OR,86,798,563-6007,no,no,0,7.59624197933268,6,2.1114114594287456,4.099370723982343,9,1.4090976067332708,0.5623420090284261,350,1.6175080849315029,4.9298648077957665,3,4.096941996363452,3
-AR,142,658,106-5962,no,yes,800,0.0002148017674441505,3,3.9692292079742013,2.5396720063541816,3,3.3127194335356727,3.0970636558115148,300,2.281174058671188,4.468870625601532,7,4.257197061283297,5
-CA,76,676,477-9447,no,no,0,8.264312659537866,7,6.687785855483567,6.597727244010201,4,6.615886165875403,3.7499825483695535,150,6.389197274997487,5.631658260047054,4,4.788040126997188,5
-KS,78,758,600-3831,no,no,0,7.783874630691613,5,5.035384549995729,3.4278008954148764,0,7.477356264177637,3.7873786671737872,150,6.0811629434024175,4.366682377625248,8,0.6879292932149221,8
-LA,191,766,390-3023,no,yes,600,1.1830699046079085,4,3.9328750850896887,4.8883673661360545,4,2.115607081640026,1.552180377850792,350,2.8094110308474107,4.176720445024913,6,4.576033301780599,5
-OH,62,797,144-3810,yes,no,0,11.089341287778833,5,5.574333015491628,4.6351759043674265,0,10.362278180200422,4.561373971476303,0,6.323437539781227,6.318594859592485,4,8.09124364937119,4
-NV,45,788,350-8904,yes,no,0,9.379685536563144,4,10.852170871553252,8.011109844360004,9,4.06057146823861,4.318406225293748,250,6.36626220176545,3.5184921354985184,6,3.0630723626204466,6
-MS,115,778,399-2718,yes,yes,700,2.845222320985031,3,1.1449744326897386,2.0209275107713465,2,2.742232481010401,3.7739134203379248,200,2.4091839705368234,4.568324337640251,2,6.749736027332062,4
-MO,101,777,451-8299,yes,no,0,7.6755958903300545,3,5.9849370205557095,5.150227360804321,1,6.501425723980968,6.294827525354624,200,4.774112242025568,6.625315861814421,5,6.0134234925449,6
-NY,22,788,597-9226,yes,yes,800,0.21991214610946666,6,0.6711029548216407,3.5625771407323463,1,1.4570977146589978,4.654536177169347,150,5.375409661955897,3.0000940404797194,6,0.4696572571845543,9
-WY,61,878,967-4502,no,yes,500,4.7398025962454025,4,7.004919861439888,6.85463330321082,5,2.9409905638517984,3.9282621548592696,250,4.4362216372836105,3.9290953874809067,7,4.477622141795472,5
-SC,92,836,132-2364,no,no,0,10.656271235224748,4,7.463972958909432,4.943316463450077,2,9.023934565702382,4.375848030615428,100,5.4592225497320825,4.158447080217171,5,7.233978905294246,3
-PA,53,806,495-4552,no,no,0,0.40033737395960056,3,4.7768043283000114,7.8852205657957795,5,0.7168010899624591,2.2087184711521464,300,2.927605235130042,6.980603987737704,5,5.6753435517439295,4
-HI,106,727,774-2264,yes,yes,600,1.321864843500158,3,3.4400099476156787,3.020580805489953,1,3.4901519710086464,2.6056679386854884,250,4.7434525599349815,4.140760398056917,6,1.963678308758196,7
-WI,177,877,184-1767,no,no,0,10.304902897481123,4,6.2747910513237715,6.970391102919952,0,8.533768251378046,3.5525300155823647,150,6.584743932729938,4.051775537445878,5,5.864651534316662,5
-GA,100,716,904-4319,yes,no,0,1.7081523568762638,4,4.185130448445341,5.455722141384285,4,3.2617587618472514,3.401571182479448,350,4.501701547643638,5.729775405861808,5,3.4219227808251773,6
-MI,136,777,484-5510,yes,no,0,5.6572783868325685,2,6.754644105116572,4.398823217048595,7,4.758236876115834,8.741026339313503,300,0.17740876990514476,5.56943970210038,9,8.953741141841393,1
-AK,177,657,556-8430,yes,no,0,5.248435591508148,3,7.26541939913743,6.3040110400307094,3,4.085079425835325,1.9289599102785056,250,5.868958815020317,4.9929772668008425,5,2.363754207251969,8
-NH,193,787,968-1489,yes,no,0,2.7135683374227684,6,0.4376358464216477,0.26039148818425684,0,4.039991964493668,1.955553330278221,200,3.45167595395959,6.4125895423762636,5,0.3213339456548354,7
-ME,156,776,974-4162,no,no,0,0.6175685014999948,1,3.5065889458636645,2.720824248057812,2,1.814998591076664,1.6957922803471923,300,3.7008102291298295,4.309515194264952,8,1.0351150313885027,6
-AL,125,657,736-1222,no,no,0,5.322647309858231,4,4.529160050012134,5.636286726462291,0,5.346985914813459,2.5116000789512847,150,7.01705391827059,4.000252835218793,4,2.804828764395122,8
-TN,45,847,628-6537,yes,yes,700,0.08608664149002633,3,2.3406679212854167,4.375054536230333,2,3.591558056309921,5.816351600093507,300,1.0056874741877353,4.852053899466614,6,5.9132464461041865,6
-DE,94,686,208-8125,yes,no,0,9.380862855988195,5,6.531745440696146,6.387289739739607,4,6.841266000840544,6.710630115316401,200,6.069384328046612,4.469881816681409,5,4.387682682683471,6
-AK,29,657,951-9724,yes,yes,600,7.5101376193830705,5,3.1640939143729363,6.891976612403107,2,7.65962830904912,2.02878389459824,200,7.8300892357466205,5.392913241515123,5,4.634138399337435,6
-VT,144,868,951-3893,yes,no,0,2.38098459235034,6,5.756543611596961,9.193000086876689,5,3.0652879557517765,2.3866522209410226,400,3.567944500523128,3.759485863515676,5,6.906598654273906,5
-AR,151,658,201-1909,no,yes,900,2.092033510544955,3,3.63101118853538,4.120916834449295,0,4.738678680899803,2.5839079883930154,250,3.6035919373869567,4.438011202230896,6,6.111566936376301,6
-SD,73,836,400-4421,no,no,0,2.575721656130053,3,5.84389487311369,6.8915240917868426,6,2.41635703253389,4.1486226202866545,400,3.83653062757556,5.237055770607327,6,4.756952448439551,5
-CA,189,676,560-6766,yes,no,0,5.813458900608702,4,3.717666105822953,6.135114691714642,2,6.835740646750839,2.3897004485859683,200,6.387990433271228,5.535036032713967,3,5.946926248043197,7
-AZ,120,659,649-5718,yes,yes,500,9.107168392632943,2,8.708968975112564,9.925290666607332,4,4.359066807999364,6.9535450557429686,200,5.189149383489708,5.3118173251975564,4,9.07509842170068,5
-MS,181,778,274-3131,yes,yes,400,2.185086907928807,4,1.6513331063566512,2.3075860429396364,6,2.9692553067081926,5.970507047616938,200,1.5792368323980617,4.884001577158873,1,8.523025838192341,2
-FL,135,707,719-4834,yes,no,0,9.976673235567473,3,9.991538440040593,5.220625817364819,9,5.080193704737983,3.6083706641505255,250,7.613892022487942,6.176634080462935,7,1.0294091950195563,4
-WI,29,877,930-2236,no,yes,500,0.4396234097433682,6,4.163618945037427,5.362601592521799,4,3.0242158713919016,1.9569522946228028,200,3.4922358952412607,7.446500218721491,4,5.474092098298564,5
-KY,36,758,115-8785,yes,yes,600,3.4664905313015666,2,4.079807261263433,6.577302726159638,0,4.197789074804922,4.043574577139868,200,4.083277557118214,6.571226061417133,4,7.455053954675392,6
-IN,81,737,338-8101,yes,yes,700,6.330666323214035,1,6.956164959561272,6.1717311477365895,3,4.664342898635448,6.324410545393303,300,3.2667287860132737,5.805604782125601,7,6.758390461689169,5
-TX,139,848,346-8909,no,yes,700,3.003065175606197,1,5.624140198529066,7.008177832190358,6,2.4805048645563814,7.729103386484616,400,1.2713562594454535,4.876906648068233,7,7.184611067306465,4
-VT,135,868,831-1584,no,no,0,1.0503442499010682,4,1.830128707217113,1.587071344842796,0,5.104047183060037,2.6906041597793617,350,4.3370263444556345,7.446778655617568,8,0.193465616847436,8
-AR,188,658,329-2626,no,yes,400,11.678140633499448,5,5.651787220269703,8.468340136492941,1,8.90250621888026,6.305307950864812,100,4.940054575548472,5.386772726988023,7,9.640399481770356,1
-IN,162,737,573-6328,no,yes,100,10.056511122293763,3,7.417567682898617,3.3997513195579105,5,7.688702542650358,5.692597063264133,100,5.879143029594606,5.284763125244951,5,4.751707907533064,4
-WA,52,876,600-3390,yes,no,0,3.757761834701122,3,2.296125885233794,0.272629544428173,1,6.7721003327867715,5.500355043050583,200,4.666465477828711,4.306713991581266,5,2.1803307224328057,6
-HI,136,727,291-5127,yes,yes,100,5.2937977744130436,3,5.57750039281838,3.735498527850543,0,6.300752720940777,1.3237580042456003,100,7.0746178419857815,4.367535261261184,2,2.353394068401885,9
-OR,161,798,136-2290,yes,no,0,9.189757407007882,4,8.285939952964384,5.843065801834243,3,7.725904639050403,3.490980270184958,150,4.654383796889922,6.039957363140607,5,7.361087626689748,4
-FL,39,707,582-6543,yes,yes,300,4.6107624577212665,3,6.4110152109184435,5.340964301913181,4,2.9036890925824306,4.073877519199245,200,5.290714627709719,6.210716408619244,6,1.628842589553691,7
-PA,140,806,646-5076,yes,no,0,3.2803291795881564,3,2.2728410948279207,0.6819892603351283,1,5.896359921018495,5.199842888156789,100,5.9078806518640885,4.8097355523158765,2,3.1186701890450816,7
-WV,20,878,270-2764,no,no,0,7.253436877118102,4,7.455707326053642,6.1969383684294055,3,5.608734972055592,1.5832888858488872,200,6.97018114247865,5.112512544096266,5,2.4736027957929383,7
-MD,45,776,750-4323,no,yes,800,1.3860191478759676,1,5.613136924239073,6.584657737609037,6,1.6040400886658688,5.399811663499883,400,2.2604166853365752,7.165995135836518,5,8.435272984899326,2
-NH,76,787,543-4970,no,no,0,9.507108959577732,5,7.921537150043423,4.808218941994472,6,6.510058277210262,3.502886226786313,150,7.3776870734229405,5.469766265900833,6,2.491634088774254,5
-GA,102,716,260-1810,no,yes,400,10.051907300309788,6,5.376333700756262,6.882406325182688,1,8.182603586670286,6.0298941313896774,50,5.895178422878345,5.577821374264539,4,7.842506042116487,4
-TN,22,847,363-5788,yes,yes,500,9.734166930884012,3,5.0815176418287855,8.303764874533242,1,7.758867409729282,3.544691104886267,200,5.483980690521807,5.178182987586875,8,7.481422776675208,3
-OR,7,798,430-5485,yes,yes,700,5.418139104163093,2,3.1095487114704503,4.9056654387300505,3,7.170451885321919,2.5572282801812714,150,5.5600109616049584,6.406644835101546,4,6.7724034878977735,6
-SC,184,836,263-8559,yes,no,0,11.404578865809786,6,6.326068460541682,4.526665332629225,4,8.828504650633421,7.576258845577537,0,5.382707508836962,4.301090112605774,5,8.495396073661537,1
-NV,192,788,490-4167,yes,yes,800,5.759810563490173,4,5.016524746131293,1.9817731430979089,2,6.639202103246458,4.418634041191352,300,4.731037420934554,6.519525032721182,8,1.263822046856146,7
-WY,4,878,576-2611,yes,yes,300,5.756474570533454,1,5.892959392669913,4.174705764887945,0,5.196725113470058,2.7368521038441616,100,5.695602950776551,5.562626086708707,5,3.0682296153805595,8
-VA,40,866,757-9361,yes,no,0,3.6111294521727886,3,3.7303327486853446,3.9333740498130565,2,4.97627140425061,6.031656729702682,200,3.964394796861804,5.1613397657473365,3,7.107236320828985,5
-MD,166,776,991-9854,no,no,0,3.896705332978209,3,3.1838318897122884,5.172879426407402,3,5.918115319420705,1.1723921963447168,350,5.125245686198522,4.672492370367227,9,0.970547031396495,10
-NH,96,787,372-9506,yes,yes,200,11.385879153113933,2,7.579864889019353,6.7638945072145775,2,8.290666634729693,5.942063819911471,100,4.877637616509542,3.7401472509639704,5,8.882581070087443,2
-WA,136,876,953-8708,yes,no,0,6.924183907976,6,2.8591499320258364,0.7407985160645351,2,8.765034299707107,5.274350562476402,250,6.649793278772656,4.082151767434151,6,0.051171314131247314,7
-WV,46,878,169-4292,yes,yes,100,3.4042248599298457,5,4.570902308372352,3.9752947312422737,10,0.2786153200140751,2.2822643473667337,250,1.7735454358439693,4.814794619836318,5,3.5736308221300037,3
-LA,102,766,986-7915,no,no,0,5.687887311395563,5,8.289093607425851,7.621895344813025,7,3.3035421376027387,3.00063172833068,250,4.62309358832571,6.492643036048789,7,2.9837943761756227,6
-NV,183,788,715-2120,yes,yes,400,4.188767871794205,3,4.947783082154238,6.210216475037263,1,4.001026356050802,2.6001763029789005,250,4.911624546878778,5.428569416449313,7,3.4608133227787627,6
-WA,129,876,463-8264,no,yes,600,3.8395710432531738,3,4.129449262703559,4.9256334813490135,1,4.418537545075964,3.5198586528291336,200,5.644800439224674,3.8275803433783935,5,3.3252057826093937,7
-NE,114,786,522-1664,yes,no,0,8.852459445514134,3,8.992970711025789,7.178303774450806,7,5.146968974336588,4.572527999079742,250,6.0027324260780075,4.7629447461660686,6,3.5670989438363616,5
-SC,183,836,192-8739,no,yes,600,3.7900403796288367,2,2.9017374069633144,0.7465146944088961,1,5.64822628581977,4.544645244339108,200,5.965990464839339,6.5178998965531125,5,1.9032889045432142,7
-NY,93,788,403-9962,yes,yes,800,4.898016671501517,1,3.8658378307903587,6.225588838884812,2,5.064972587808982,4.196343759863543,200,5.1693033310294565,5.102748206302669,5,5.977315105060863,8
-IN,182,737,746-8585,yes,yes,600,4.473251138945157,3,6.7421383151290835,8.565113862597661,5,3.423113667882776,5.811242019416041,300,2.221301970085766,5.0498245976707015,6,8.766316285305763,4
-IN,153,737,778-9078,no,yes,600,5.579333895316408,5,2.166792371793416,4.468096473027007,0,5.727741026800947,3.9859938814118814,150,7.327628288927303,3.928740766339228,6,1.8880033451848308,7
-MS,170,778,172-4594,no,yes,400,10.117615735791473,3,5.876722066128147,5.8542092662083745,1,7.4286791784767,3.961652166620872,200,7.472636999593744,3.482840778697009,7,3.588772294205982,5
-AL,35,657,871-7140,yes,no,0,9.979153827218534,1,6.193965245314634,8.247964891248092,2,8.447283044250518,2.3647504289730747,200,6.359731553618609,3.8559732460768776,5,7.1835884863923685,5
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-CT,130,678,457-5775,no,no,0,0.033496822032699214,8,2.342167171738877,1.2859994100755068,5,4.137372669812059,1.2544694056598038,300,5.629339147741375,4.215715672088207,6,3.070426209680761,8
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-CT,7,678,707-8141,yes,no,0,8.164288806647518,2,7.9738863616162625,5.134147741019491,5,6.490121961918353,3.962287129882129,250,6.8665431464734015,3.2749256101543702,3,4.071088227472049,5
-MN,140,777,146-2184,no,no,0,8.506928284850467,6,3.72083206861706,2.985644260173268,0,7.751404116830821,5.664935457681682,0,5.418169831905148,3.43619411676848,7,5.077923406493622,4
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-LA,84,766,960-4867,yes,yes,800,3.142548575105878,7,1.7280940908625784,5.800406775041885,0,5.335010901936099,5.040645755768137,150,4.531714782444898,5.3837289833661215,4,6.8815484960154345,6
-GA,27,716,132-9403,yes,yes,300,8.341847025948871,3,7.249256694316963,6.948299938448832,2,7.373110051141634,2.9228895426507444,250,5.9784596354191795,4.330570030409101,3,6.9933338239254725,5
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-WI,67,877,451-5980,yes,no,0,7.01206025191567,4,2.000815946133979,5.228994317146423,3,7.946032153349942,3.728660447833296,100,5.982637010754421,3.701069368937144,6,6.403908092790109,4
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-OK,138,797,814-5837,yes,yes,1000,5.80932308351253,3,2.9806067023611402,4.617615143444628,2,7.535219368876825,4.554783606378842,400,5.164012307093252,6.953483932831074,7,3.5517618770432318,9
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-ID,142,736,614-6200,no,yes,0,0.02489186927981102,8,5.274588461201782,4.8889312268400476,9,1.2581141274503205,0.4167837823093104,300,5.7271918436267875,6.949759044719732,6,1.5913352513705668,5
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-ID,104,736,374-2097,no,yes,200,1.876857998167488,6,4.048839312429607,3.1157120536283434,5,4.21075010965725,3.8781862863113017,100,3.8432615349771075,6.985334169828762,4,3.8450375492320608,5
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-IN,17,737,964-6653,yes,yes,200,9.446722420613082,3,8.281096503941537,8.281011543123725,3,6.789917877565199,3.5151577113182033,250,6.091227384191568,5.8648246079649855,5,6.267331617225742,5
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-OK,137,797,760-8222,yes,no,0,6.825367809954172,1,2.1042490665424616,2.3930011214151574,4,7.571408806340673,6.35095815887334,100,6.095427140687818,3.776455630617503,5,3.1936051381254082,9
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-OH,150,797,155-2040,no,yes,300,9.116997168574873,5,7.604945209914296,5.8697666329212925,5,5.261558143082142,3.9798981915280844,150,6.780750405994472,5.865936503106555,8,1.5060958025213926,6
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-WY,124,878,992-9241,yes,no,0,3.5567005484820147,1,7.0601551013522625,4.454869306719178,4,4.352001216177048,3.1821785600491697,250,3.690744534372664,4.365189442466753,3,5.766705481145909,6
-DE,76,686,657-3163,no,yes,100,10.78090010434368,4,8.387336558766687,1.9813903006451523,6,6.686312319571937,4.8534186406558915,0,7.843092159984607,7.146868727691955,6,0.7524716488923326,5
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-NJ,165,787,571-2622,yes,no,0,8.050098585652908,2,6.096323736111285,3.911288055534965,5,6.559693059043126,8.857597247893555,350,4.014774688173167,5.3240107748770535,7,4.579123420268141,5
-HI,108,727,672-6077,yes,yes,300,4.374133525663867,3,1.5293250261193123,3.0219646993114853,6,1.0872982807817977,3.3500241867064986,200,1.490898364432527,5.0087885018955625,2,8.267759373588556,1
-KS,66,758,951-5550,no,yes,300,5.694911236987664,4,8.201583810965673,4.019300380037718,10,3.720244741596796,6.566545303052923,200,3.9225709842830794,4.8764584637599535,5,4.896790076968261,4
-MD,110,776,467-9851,no,no,0,7.107849250451015,6,3.4681995237453083,5.231367290665773,0,6.303349860118972,4.613068932398383,100,7.839390137739179,5.366993329033713,4,2.6485162579499733,7
-AK,41,657,451-3236,yes,yes,700,2.5445285944341727,1,6.0325325699314565,6.789270507155296,4,2.2453917693536,3.5070374483595628,350,3.3600267105759887,4.6521910316532775,7,6.324100987741579,4
-MS,156,778,344-3447,no,no,0,10.376661212342126,3,6.648565308995592,7.071151702660444,2,7.254890596820219,5.0558402118308985,150,5.191678538786507,4.876837540583353,8,6.5398586408771076,3
-AK,11,657,812-5381,yes,yes,600,0.7509091771612759,3,2.9934279182873653,3.9712495442576463,1,3.358618968997699,3.372602540794273,300,3.351659653138598,5.176631603549322,7,2.681302751177071,7
-FL,178,707,859-9359,yes,yes,600,1.966013967340599,0,1.1234288949330975,3.3960706343170024,0,5.237698039815593,5.472124212751108,100,4.551486532640073,5.211714781586793,7,0.9356964871014569,8
-NM,160,787,766-3199,no,no,0,2.9496979687426963,0,4.045222268207658,2.0358737415228427,1,5.4251423270814145,2.268572932232874,150,5.238439460221153,3.346229979139314,3,3.9405456759360287,8
-LA,31,766,375-8849,yes,yes,800,8.820347301086146,0,4.07242420392206,2.309639015735519,0,7.817622307326549,9.496316501399988,200,3.8795984210488377,5.399324167410707,8,4.635245485096807,7
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-NE,195,786,411-9771,no,yes,300,7.526700560937034,4,4.3506045935303295,4.286264573987019,0,7.614681339640237,3.1120772271192445,100,7.235087321426659,5.53922497251585,4,3.968255413559552,7
-SD,56,836,274-1869,no,no,0,8.920383536256773,3,7.150363023590916,4.665227814998678,4,5.534665305286406,5.582542861981748,100,5.622986804378263,5.537371009008878,7,3.533983963187392,5
-OH,134,797,882-7457,no,yes,200,9.615701089264913,2,5.504028763690663,4.866337230895844,1,7.923050497495114,6.03818834847883,100,5.1136262277985045,3.5968385545870913,6,6.681852719946503,3
-LA,187,766,946-3809,no,yes,500,8.015041605786125,4,7.000955704497407,6.397122146687906,4,7.041530598659795,5.911407765918887,150,3.723627308157644,4.400959122985377,4,9.43524323922266,3
-FL,78,707,349-5529,no,yes,700,4.683303562833296,1,5.412362120459962,4.397254464337523,4,4.6849685608436165,7.1252888176153455,150,2.406497031883758,4.312183052816759,4,10.171088817930857,2
-NV,163,788,417-8069,no,no,0,2.846974803106373,6,3.2922191523792543,4.759927652521367,1,5.494618280794295,3.5984608613180544,150,2.8361165666791677,6.396729747935744,6,6.518160917761067,4
-WV,30,878,978-5327,no,no,0,7.9943398374478996,4,6.743327186600396,7.41749352885233,3,6.173506117067005,5.593467096281506,200,4.400890476873147,4.2673430250654665,6,7.44591693917622,5
-IN,63,737,267-4708,no,yes,600,3.386855712296936,3,5.819217889799375,7.8152701326048915,6,3.2473485242094062,6.243990014892742,350,2.7928038825923838,5.09911050539972,4,9.091979498206484,3
-NE,11,786,319-7337,no,yes,700,0.1133278208519366,4,1.5238684214752445,4.37577968115122,0,3.7226723001219097,2.4135746937660487,250,3.5312239738599738,6.260214550929345,6,4.8831635336968615,6
-CA,179,676,170-2101,yes,yes,300,8.806126593159451,2,5.705093751354884,5.056711798837092,2,7.573010557974953,5.165164453196882,200,5.620870067377667,5.605290558625167,5,6.055243054904361,3
-WY,182,878,131-1371,yes,yes,200,10.396780320260396,3,7.636968092485787,4.0112159051805625,2,8.50221271527947,3.3986150047356016,50,6.304923082425728,5.095880526082343,5,5.670059851943307,4
-NE,179,786,887-2341,yes,no,0,9.614651534159293,3,8.758372559596014,5.680436862501977,5,7.4425568284499075,4.677370878340246,150,4.982363322558722,5.386663154023137,4,6.862889500178003,4
-VA,131,866,550-6900,yes,yes,400,11.280172441710464,5,5.530468487391025,7.113340821821924,0,8.741015415040852,6.207056567725773,0,4.818535749251718,4.798893280379726,7,9.617650198445038,2
-MS,130,778,785-4311,no,yes,300,8.601120850132391,2,6.900346725084216,7.6585012423453085,0,8.156492710892572,3.2751125514061803,250,5.037140970915466,6.870553949825407,3,9.266549359861195,5
-IL,64,737,917-3024,no,no,0,3.4611971164837096,4,4.145893594573812,3.879550851198684,3,3.3511533309375623,4.8141971500857155,150,6.123786679158673,7.389170136919724,4,1.4274792118842523,9
-IL,165,737,292-6166,yes,no,0,7.1838827368100615,5,5.755656358070568,7.342810423115387,3,6.002904767462606,5.88085949337216,250,5.52099173788058,5.518278480531879,3,6.621768550851973,6
-AK,139,657,320-6650,yes,yes,300,8.096911858500611,6,5.2885784184675995,4.532012547927012,4,4.674170346277047,5.270741006149208,50,7.562944539313565,4.018522040791224,7,0.3572296278560492,7
-MA,120,776,996-5215,yes,yes,400,2.9368066838086433,5,7.153800239680837,7.942648031716375,9,2.3233876652571688,4.69213718696976,350,3.1709796773566015,5.257192518823247,4,7.3232143868696715,3
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-GA,187,716,490-6274,no,no,0,7.886689133435249,3,6.587422765114226,6.1753690988486865,4,5.913137323213032,6.698013425958044,400,5.464466127216698,4.794217180171012,7,3.570498401396358,7
-AK,25,657,103-5500,no,no,0,10.521011013140903,2,7.9891888636656,8.011844379528885,3,7.203734128031624,5.216069741545327,250,5.4322897759597675,3.8872648216108407,6,7.163505418179902,3
-CA,129,676,975-8292,yes,no,0,3.9497432233600303,5,6.1294487093638645,2.879142936315884,6,3.575746931443782,3.7531752777737117,150,5.737078825381931,5.157635418403078,5,1.5032531650368144,7
-NM,167,787,583-9990,no,yes,300,5.032755926574869,3,4.856244732336043,5.350524323930786,2,3.7757917385790183,3.5139265988711124,200,6.119428799812898,5.414258827287863,7,1.0372213374296533,7
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-NY,67,788,926-3961,no,yes,400,4.697724477077071,4,5.687261092119945,5.9256110517793275,5,3.00503085502533,4.020700461308516,250,6.425689214561676,5.564223176135506,6,1.3792695127010468,7
-SD,9,836,282-2927,yes,no,0,5.212495498918663,6,3.808202645875504,5.435672025363953,4,5.183430486603396,5.14823318462362,300,5.839405567887652,3.979102369860735,7,0.7734558767955733,6
-IL,67,737,899-4686,no,yes,0,12.743347556811257,2,9.153991467774098,4.267029060971607,2,9.341407746384624,1.925013885423891,100,8.34803565183858,5.233868158431552,5,3.049221940475042,5
-IL,110,737,569-9307,yes,yes,900,7.090987313013676,0,5.0960158435869465,1.6756595267985404,1,7.168460197934449,7.254241162557875,50,3.0274300197848976,2.613037487603109,6,7.595595093486228,6
-AZ,98,659,391-8659,no,no,0,7.533771902486888,4,2.7605868871916037,6.951887728894914,0,7.4950003844766915,7.325891482677388,150,3.8271705330213246,4.695519361741678,6,9.30615269816987,3
-IA,145,736,849-1456,no,no,0,8.704169544279562,4,6.494749002376397,5.796481844740992,2,6.453740637325609,2.7606724297990044,150,7.55434522350356,4.733098897648945,6,1.6759214400422788,7
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-NM,161,787,769-6926,yes,yes,800,4.3055689394642105,5,3.957944761491384,4.510390230305023,2,5.9356219441943034,2.857721788001292,450,4.81406232669366,4.106515247003582,9,0.5853494754043229,7
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-IN,32,737,397-2307,yes,yes,500,11.080409618149364,6,7.024303391373296,6.319744793525983,3,8.573650416734086,5.449857749005392,50,5.0913660758525845,4.830915490921026,6,8.98241313896382,2
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-SD,17,836,136-1764,yes,no,0,11.690399451403945,4,5.825924874387847,7.28601239570049,1,9.311193625155694,4.210986664600789,50,4.961755182698932,3.9114350755203686,8,8.89476636134648,3
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-SD,42,836,798-9432,yes,yes,500,2.9845658857378923,2,5.746974724565481,4.322182045515201,5,2.9831063384554977,4.843422600921851,300,3.9372987096203182,5.032358686186008,6,3.676447740729933,6
-NY,17,788,187-4824,yes,yes,700,0.4348311533146303,3,1.8928088377012515,1.807029873820324,1,3.918917420236341,3.715546530736932,250,4.013320020689332,5.200386744865986,6,2.0824458635525707,6
-MT,15,778,792-4915,no,yes,400,5.34065625427762,5,4.321515191618508,5.8936149717429975,2,3.9973648692466273,2.9920856564124856,200,7.492344780442013,3.1395704129874824,7,0.05295878458026415,8
-VT,183,868,614-6519,no,yes,400,4.5251696631984,5,6.161526515952178,2.73017087328121,6,3.4529111787915654,4.4852885928624975,100,5.800540028992821,5.893220896590557,5,0.6141554526923221,8
-KY,82,758,603-1850,no,no,0,1.6186801682828662,4,1.8795883190802505,6.470054685716428,6,2.264642177997562,2.6452924295386664,250,6.149103654344579,5.169066508180053,4,2.310815792405147,11
-SC,169,836,736-2819,no,yes,400,4.724202415033885,3,5.462342562647127,7.105265297330521,1,3.622453024907145,2.0820331941213266,300,6.456455144540776,4.509004263306605,7,1.5923336262333845,8
-AR,47,658,164-7479,no,yes,400,6.366933952010927,5,4.60117092418338,4.981376530812022,3,4.7013535356048575,3.454753918966769,150,7.951060205731072,6.238783391636352,6,0.474847974774578,7
-MT,100,778,739-9619,yes,no,0,7.555997093613684,1,7.1978410840738185,6.399429137653182,2,5.285537824065879,4.0270449939453385,150,5.169683083560366,4.48772325799814,6,4.738358328898717,6
-NY,91,788,190-9817,yes,yes,400,8.085069786572229,6,5.058819782183125,6.346566633020522,0,7.876607678453246,4.187236975189192,150,6.741513289356463,4.770371465409299,3,4.9215815150865785,8
-ME,48,776,966-8394,yes,no,0,3.4274073246014205,5,8.52016358378648,6.705244349625512,11,1.66005020088432,2.8677563355504314,500,4.8498422099638665,1.7232162206647301,8,1.696705852507994,4
-TX,124,848,967-9271,no,no,0,7.656792181908081,4,8.532585475621628,9.249015936757754,7,4.257413815496402,5.270944355935133,400,5.806784475260812,3.6698463475059437,5,5.325474291828987,5
-VT,108,868,100-3505,no,no,0,0.30500239647579,6,4.265497681224115,4.982715714324775,6,3.2886443995368992,2.8838685274034317,400,3.1950507382733213,6.13530365321021,5,4.725797840179228,5
-NV,82,788,361-8841,no,yes,400,13.268021217358546,5,6.1793457042773525,6.993493494464585,0,10.199897808896363,3.5316848715805738,100,7.748303601584794,4.890243376376128,7,6.575707984965358,3
-NC,45,786,572-7881,yes,no,0,7.594789659364961,1,6.84212683712213,4.8815291803351215,1,6.741626614447488,3.0662472410715838,200,6.139199262955597,4.945631573455714,4,4.882226711251838,6
-DC,37,686,918-8971,yes,no,0,1.0706075330280065,4,4.894697527087313,5.879947166640197,7,0.8901161113288979,2.7190763262094717,300,1.974834771873022,4.805393185961638,6,5.191705209117363,4
-NC,28,786,184-2592,no,no,0,0.5788558626646108,4,2.7418313437133506,1.9993539454818792,4,4.037538390631031,5.21563675580778,250,2.390786976507365,4.7599548503432425,6,3.046595656046024,5
-UT,40,858,222-8608,yes,no,0,1.5423031407884675,6,0.012406858192195893,2.042684542650657,1,2.271996732402616,4.6550100604475215,200,7.240121673238129,4.157503510470831,0,0.06854812002407229,11
-CA,47,676,714-6672,no,no,0,0.5933496162257379,4,3.2286252531213475,5.283930666546224,3,3.179245819003129,4.083378301459408,300,3.1610027410660315,5.7454496068541125,4,6.773434521952808,5
-NY,81,788,518-5158,no,yes,400,7.051931434636854,3,4.258169088076508,6.451215504504215,1,4.251491303368521,4.279327582014346,200,7.144475695111363,4.648479605957012,8,1.6010979724683754,6
-HI,169,727,286-4087,yes,no,0,7.173951691644204,2,7.97470831155873,3.7290455188929728,8,4.75912666570653,6.392624163980112,150,4.8344877292063035,5.193402946559226,5,4.303868734941203,4
-SD,13,836,832-3733,yes,yes,600,1.4811102498934563,7,2.6164952247581725,4.068180303522142,6,3.2950914424349516,3.402342999510961,450,1.6671343402378187,6.099739217122929,7,3.4066412603563183,4
-MO,157,777,574-6025,no,no,0,7.757593937518943,4,4.296191907001584,9.680255963539551,0,5.647283549542006,5.2996545057485775,250,6.199013580713272,3.806162153667071,6,5.651872975570183,6
-PA,157,806,479-5440,yes,yes,600,2.5500185407305973,3,1.4326381041163805,7.074713961863389,0,3.79598247629388,6.045387568021834,250,3.9469047110733846,6.3124307513001074,5,7.136759442691448,5
-TX,189,848,413-6341,yes,no,0,5.655901459836817,3,5.913986057954795,3.472942755179936,5,5.173797350517352,5.06450433134557,250,4.341425411896578,6.522965732463125,7,3.7360107413602393,4
-WA,192,876,658-6657,yes,yes,100,1.894948118879092,3,7.6465043417181215,5.465899132218528,11,1.2237043877462108,4.146271345449248,250,4.275492712308045,6.0060245006638215,2,5.7860484776615175,3
-MO,63,777,722-1404,yes,no,0,8.296176592492747,4,4.106827648692123,5.202060922804186,0,6.019547695024098,4.63229210357761,100,6.829116683864447,5.925495796180395,8,2.179307275544017,6
-AR,81,658,642-4185,yes,no,0,4.632944812456737,7,6.536892924095528,6.002855996736459,9,2.312722876475537,6.32132639349874,200,4.659497038446807,5.727707300262988,6,3.453088124818977,5
-TN,62,847,845-5321,no,yes,700,1.0397978937657415,2,2.6057727649148688,0.4469610080828801,4,3.0870835259651503,3.948354724666922,350,1.8671408272592915,3.9130107125446223,8,2.619086767773787,4
-NJ,134,787,609-4192,yes,no,0,4.500883391021507,5,1.0647781277831965,4.194787817753996,1,2.3706801262057056,0.04327249830249436,350,1.7035463749009696,5.81874014981955,5,7.161034278895531,3
-NC,160,786,435-3314,no,no,0,8.908569195386605,3,6.092384121595449,4.9282166036223405,0,7.57312966556904,4.690934747345087,100,4.9055275817402055,6.542135176268977,6,6.850699388272121,4
-WI,115,877,473-4681,yes,no,0,0.1930045978157935,3,0.7595129816121302,0.3379285822972227,0,5.507794381763527,3.2486231304743547,250,3.831690612323361,4.868249414743345,6,1.87708939472112,7
-NJ,12,787,914-9020,no,yes,700,5.1176881450129486,3,0.8688665780232148,4.875820958217969,0,1.2350181439608328,0.19968017405586205,300,2.530926846988489,4.326276245415393,4,5.496176972248197,7
-AR,126,658,777-5039,no,no,0,6.695488965147249,0,4.233144864826094,2.590104036005599,2,7.330013358507541,6.254616117325756,250,3.080340365302114,3.053237273345512,9,6.497801422431987,6
-IA,152,736,733-4922,yes,yes,100,9.594523170251296,4,6.723274910071107,7.091467284870652,1,7.196784383171778,2.9018876321286515,200,8.130602106675903,3.8353264530823066,4,2.631968785165851,8
-NV,56,788,371-8821,yes,yes,200,8.370666336102179,4,5.549740351599194,7.750006291609262,0,7.523291569812528,4.056616332094784,150,5.740910644051149,3.660446458025248,4,7.61228793560009,5
-NJ,187,787,347-9156,no,yes,400,3.531814164311218,2,3.0829149056173524,4.217106098703554,2,4.300793880258547,5.780630526132278,150,4.945847021682855,5.344677357085613,3,5.190008882179602,5
-MO,97,777,403-1092,no,no,0,4.762406054404097,4,3.965372763982372,4.365076882656842,0,5.017099657116625,2.2230111494915588,100,7.909535944116527,7.387675315449778,3,0.17598365278154215,11
-IN,135,737,656-4815,yes,no,0,6.910600345261398,3,7.489382702790658,5.501047100664679,4,2.703305062072041,1.674197015594106,200,9.775251721631514,4.588478199727165,7,5.831932979304085,11
-AR,91,658,952-4478,yes,no,0,2.565037934021284,5,6.6643499597638325,5.880427883616427,8,2.7252320234794647,2.516378049120295,400,3.4821663551843183,4.561387977223731,8,3.805718271598924,3
-SC,31,836,234-9247,yes,no,0,4.337671954439136,5,5.64368826619218,7.321057951440495,6,4.321701597602978,5.342986487686559,300,3.890657354317661,4.488562713233544,3,8.47842382758095,2
-MN,168,777,806-1407,no,no,0,11.310091593623094,0,5.824998827845215,3.968797005389565,2,8.403663781090387,6.668560068178344,200,6.640527957777044,5.840210808471666,9,1.712108077162925,10
-HI,43,727,307-7661,no,yes,800,0.3580072882559833,4,3.5718489704489733,5.131645755334879,3,2.9843938343486327,1.6337551211805996,450,4.9379787246153715,5.043300587481876,6,2.2533729415011985,6
-IA,126,736,679-4149,yes,yes,600,5.684056439282637,5,2.002058151799843,7.521880984786468,2,5.6997566624174905,3.6737136046598633,150,6.532536342126951,6.488091691784532,6,4.80968805650416,6
-WY,54,878,793-8126,no,no,0,7.644363774543796,1,4.548684117477516,3.3168972770138048,1,6.384060696059049,5.358881263015425,150,6.141684826221571,5.661151728025391,7,2.1644858075748847,8
-VA,3,866,647-5631,yes,yes,600,0.7171376281418489,0,5.530485886787488,4.262599087955808,4,0.8519941159326665,2.1795632518431853,350,3.870408002154521,6.267812961855823,8,1.7764335031967755,6
-ND,13,786,216-4951,no,yes,500,6.682522473398527,0,7.090187586235851,4.413496270469705,4,4.243444073501059,3.9705487357430647,200,6.70279716544646,5.436341928181614,4,4.857233593817968,4
-WY,194,878,348-5877,no,no,0,7.408686034106424,0,7.348816240848419,6.069590393498963,1,6.7082823921847154,0.17606202852354258,250,7.0124532119089285,5.477112671344076,5,3.234588886381798,8
-HI,119,727,946-8393,no,no,0,6.065583748482576,5,3.70881295179317,4.765179484009939,1,4.928902614741668,3.924180616937842,150,7.429149076198959,2.9913652254925664,6,0.6782151011371501,8
-IL,172,737,742-1434,no,no,0,3.278958928189128,5,6.501081489380001,8.39292667973588,7,2.6099895675829003,2.492052966458528,350,5.809195160906956,5.74160731150651,3,5.163860535337488,5
-TN,137,847,221-9724,yes,yes,500,0.6193522568153744,7,4.167646912928446,6.097974073121434,3,3.2891025849494837,0.6948893461710952,250,3.1550602000923327,3.606431667696029,4,6.455638325567559,5
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-MT,152,778,785-3946,yes,no,0,2.5316783865924446,0,4.2905395053514175,7.174366081754296,0,3.4027064664495885,1.288722525772315,400,5.293873848220879,5.9243301112807725,6,4.580981486096725,6
-NE,196,786,501-6751,no,yes,400,8.771919753522056,4,5.144137739774992,7.875097513050961,1,6.220828055167179,5.173557299986904,150,6.193203502396478,4.6642430027456,6,5.186975023236416,5
-OK,126,797,797-6457,no,yes,500,5.319212742483266,4,2.190805752117389,2.6725527478463897,6,0.4564973100191674,2.8285458044887366,300,0.16747569478390822,4.69589164379868,5,5.901662179124687,3
-AL,59,657,443-4361,no,yes,400,2.759020080552752,4,4.5064607568699255,3.5748721969949404,4,3.5612145584674235,3.003363316562196,200,6.31832257302984,5.767507611609508,3,2.563839677724689,6
-HI,98,727,913-2857,no,no,0,8.012942037574179,4,5.8608793158538255,6.223239732533448,4,5.753089657743483,4.961527487534298,200,5.9972624873708895,3.3428509986714614,6,4.890260470581708,3
-AZ,155,659,640-4403,yes,no,0,1.3887551620282284,3,3.7523069372822544,0.4068874040379562,6,3.4335836816858563,4.933071493436521,200,4.103272594537747,5.435951263724184,5,0.43616416447779294,6
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-SC,16,836,346-8827,no,yes,500,8.797962866414565,3,4.957757613585304,7.8634947703829186,0,7.046574724530983,4.466155670250134,200,5.113106445078334,4.980178313772358,8,7.5108890308606995,3
-IA,143,736,392-2498,no,yes,500,7.504486787942579,7,2.8282273948110492,6.24320775885842,0,6.198190796178893,5.20210570955744,100,6.284875303331837,3.9831432426193847,8,3.6434251263446624,6
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-TX,165,848,127-9888,no,no,0,7.585649652362816,6,2.9754263354333066,7.204356773310845,0,6.4487282649669435,5.402719565795328,200,6.186673054534345,3.9680199280719854,7,5.5800996667035045,4
-AZ,12,659,736-9222,no,yes,400,2.5408412270226086,1,4.13904575285863,4.048307161948847,7,0.3687078310600045,3.2156776351678578,400,2.5393509876679534,4.663680377718789,6,3.268237344886761,4
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-OH,56,797,600-5667,no,no,0,3.2096320825941485,5,2.6811983552410017,4.529783207219272,1,6.302378435001078,5.4998923775993935,350,2.5071346351407597,4.551989781787882,7,6.2850170182075615,5
-TX,148,848,254-6382,yes,yes,500,5.593884685165057,5,5.2955698979220935,2.779469636994193,4,4.575096262110408,4.4765430295303865,50,6.1995205492738785,5.573059086375299,5,2.12923166829153,6
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-MN,191,777,865-9846,yes,yes,300,9.765524502192667,3,7.0101164182611075,6.341885860919906,1,8.91923082106776,3.2046961708968777,100,4.7511830988563375,3.5206688648372806,5,8.375572280810111,5
-IL,169,737,962-7442,yes,no,0,1.631097099257512,4,5.565955309262702,5.933835675198826,8,1.9452094978579284,3.481297238403439,200,4.278126763324928,4.634999266282495,3,5.334404631351506,3
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-TN,195,847,633-5940,no,yes,0,10.749696038025954,2,11.439491275578884,6.234207612967772,7,6.615322702566852,3.0155538299757154,250,5.507279297277262,4.8429714364861765,6,4.644274947661977,4
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-CO,80,677,658-2400,yes,yes,700,2.2152994338764835,3,3.5561246670940876,2.8175945607662727,2,4.4156160347017614,4.3685788345780034,250,3.8330163750859354,6.53312520517945,5,4.418209565924715,5
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-MN,70,777,569-6326,no,yes,600,4.653873378634271,3,4.257753970141018,3.104459487053693,4,5.2316695075106985,6.107131137117902,200,4.2708097297785415,5.406927151348734,5,5.685025883955883,4
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-MI,144,777,747-5619,yes,no,0,3.4316293976699503,5,5.1693581446787595,5.072838393990987,7,2.1965504354509773,4.741183654801215,250,6.233115555663497,7.024261315422006,5,0.9268139444963052,7
-WV,136,878,744-7005,no,yes,800,0.6593742708325729,3,1.8573745496299785,3.678297127366572,0,3.2910699420862013,2.944623747249629,350,2.335229443265765,2.902868829574311,8,3.08241076456884,7
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-NJ,29,787,707-5613,yes,yes,600,2.7636169173707867,3,3.8787273970836367,3.9238750114144976,5,4.238011086361239,5.9561045829862085,400,3.2723746330143806,5.725646577344249,7,3.222256471443273,5
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-RI,130,827,271-7299,yes,no,0,1.3742781348495383,2,3.6881526506033238,5.871362982450269,1,2.5298359915295543,3.237688371966676,350,5.2191092833876365,5.2016451530883225,5,2.2310858636293833,8
-WA,72,876,338-1640,no,yes,400,9.585748434407764,5,4.916121196216724,7.5685046129109965,1,7.928862367987901,6.7277719274366214,150,5.505831123117972,5.905221030362718,4,8.040206085471532,4
-IN,11,737,968-6462,no,yes,500,0.1473549578929738,3,2.9483396467847287,3.8257861736225895,1,1.9846369605847096,3.086244194075101,250,5.932081838546645,4.29410523151913,4,0.18036595685100032,11
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-OH,175,797,116-7637,no,yes,500,6.492012321081762,2,5.778272736271495,5.321437636393647,0,5.042506648745904,3.9547375441724064,100,4.726236735026932,5.591233193865533,7,3.806437433741713,8
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-TN,121,847,761-8417,no,yes,400,6.842377948201992,5,5.667742367656031,4.878651944404614,3,4.988974813538972,5.854214767256348,50,4.7804993229254835,4.799332204133772,7,4.255745034524743,6
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-SC,45,836,233-5765,yes,yes,100,13.236643707634025,3,11.007683662347018,5.549737173516807,6,7.471501780899767,3.314792618451704,150,7.737305340022786,6.121551211876897,7,3.124119232564832,3
-AR,39,658,148-5804,yes,yes,500,5.567957091361686,4,5.339939634811505,5.599386813531549,2,4.908777562881079,3.304057827979257,200,6.560563143965557,2.8156500542193887,4,3.6600349133561814,7
-TN,166,847,222-9770,no,yes,600,1.0176572080255497,4,2.6431845431732564,4.441492905184305,3,4.074979995491246,5.714655305291853,250,2.4617301419241926,2.957406138893072,4,7.6806577790862365,4
-IL,81,737,840-6988,no,yes,600,6.107115117930911,4,2.18303321325614,1.9458429485545572,2,8.026148631046446,3.2706766055915737,200,7.700117165510137,4.08465077745768,5,0.6772371831867048,8
-MN,136,777,329-4966,no,yes,100,11.686490973853145,3,9.892652094293783,3.3710350047802047,6,7.843415509553647,3.637314990253509,50,6.666266263151518,5.869195166354223,6,3.5329974266780786,4
-RI,97,827,254-6748,yes,yes,400,1.0436934333530905,2,5.285414593529046,5.220696299132417,5,0.12101095577228628,0.4778330267722071,250,4.863150431471906,5.073474971408234,3,4.262643873299129,5
-HI,115,727,188-1320,yes,yes,500,4.890082673719994,5,4.82794958768704,5.025993227058012,2,5.391727682479539,2.390984476660388,300,6.3712951766795936,4.829704576889782,6,1.8104764817013212,7
-ID,74,736,794-1535,yes,no,0,8.807370351765146,5,6.22536868169287,6.901178190414777,4,4.8246431951716175,5.874229643996672,150,5.5597982131829,4.826554986485514,9,4.347626897054749,3
-NM,190,787,507-9521,no,yes,300,5.752132281896131,2,3.5479795836297363,7.493617251397722,2,4.725693589070857,1.7518190257351909,250,7.4314260657458036,7.8080045290770705,7,0.9880287559355488,9
-MO,128,777,498-4377,yes,no,0,7.978527885203961,4,5.506127364724841,7.615338873157617,1,6.564205600678657,4.981590602707004,150,4.558568403639844,5.60498874122347,6,7.345851760112123,5
-TX,157,848,800-6825,no,yes,400,0.8978921202180699,5,3.610417733279686,5.60049458112901,6,1.686492673172021,4.091140656017407,300,3.5372447368921938,4.022336864768767,2,5.395422913621653,5
-MI,95,777,242-8771,no,no,0,10.758053355206975,2,9.910663929777858,4.39592723526867,8,5.581722257163224,4.170424952315495,250,7.932780508783034,6.795251634459183,7,0.14992150839530716,4
-HI,135,727,999-5498,no,no,0,11.945027982345776,3,6.78188273955879,5.614037383840248,0,8.233811752469567,3.5509919675379766,100,8.32671477083078,4.738810960681437,7,2.5544013483530152,6
-AL,193,657,922-1976,no,yes,400,7.981061619330702,4,7.0355167499432145,6.7543776738528685,3,5.750755876071875,3.733125668967,150,5.026328381557568,5.378665601275038,7,5.4570243789994315,5
-AK,126,657,123-6120,yes,yes,600,5.324085170919162,6,0.4500302853921516,1.2529073070103909,4,2.3505675125294703,3.638763485883713,400,1.7763951688136252,4.088476723348711,5,1.9989052307129689,7
-CT,122,678,206-6729,no,yes,600,7.296808309134902,5,4.580943776965585,3.888195726723041,0,7.635353705248049,3.8171103955788848,200,6.232325588843758,4.071194310855567,6,2.2165285686112015,8
-AL,70,657,369-8752,no,yes,300,8.31454453284651,5,5.950262500875406,3.0445596796012766,6,4.5145141713481305,6.2866620189983,50,7.185461624186941,4.734323982654057,8,0.1312647089396881,5
-AR,181,658,609-9028,no,no,0,2.4314880872731304,3,3.210544731665676,0.2773761221529432,2,4.818299517995413,3.884187926233482,350,4.6222414387300805,5.0743458369266525,9,2.924003905332081,9
-NJ,113,787,632-9920,no,yes,500,2.241365880600829,4,5.589530337403977,4.3757963986575845,6,2.504460185188321,4.8256461862611,250,4.621045945258643,4.7140204756965085,4,3.132831808527155,7
-MD,39,776,115-4996,yes,no,0,9.258944391095737,2,9.113841418891466,5.8744863164648535,5,5.794420490955068,4.20386327864512,200,5.44619772770839,4.969739329635928,6,5.592317329234816,4
-NH,113,787,474-6412,yes,no,0,2.7542179586834177,4,1.3104417382899498,2.5170104943546674,0,3.3406938395037256,3.33745354044692,200,9.094898961423967,4.320849326761009,5,3.583467948897677,10
-OH,64,797,715-6657,no,yes,700,0.3694292239183108,2,2.261375916717719,7.013638932764463,3,4.40397277851962,2.794257924821613,300,3.7062182565280657,5.578170866158159,1,8.706166778750253,8
-OH,164,797,412-6862,yes,no,0,3.730122250530005,3,3.362217208948045,3.550857933907512,3,4.650428775987932,4.901128904405756,200,6.682504086114677,5.9050530790842135,2,3.2011355482894266,6
-OH,75,797,959-6134,no,yes,700,3.4580869613319782,4,3.1286291042200385,6.648148097578727,1,4.442749422330504,5.827775402669425,200,3.1609397783459086,3.1587695411782093,5,7.818479507713375,5
-HI,170,727,912-7599,yes,no,0,4.94378217104258,1,2.501707972994703,3.4108351783985618,3,6.210380434341798,4.353057047903912,300,4.929089096144319,5.413369681231434,9,1.5786611020872685,9
-NM,107,787,211-8062,no,yes,400,7.137216922528943,1,5.8592560765112305,5.623347178238138,0,6.295847129028492,3.9160376057670714,250,5.673699163087492,5.4614674772203,5,5.539792500088904,5
-MT,115,778,803-2620,no,yes,200,10.06249391009282,3,9.023404931670086,7.407010094629728,3,6.890380599156887,3.1533765315642177,200,5.892698582693927,5.083313456815295,5,6.338899011350192,4
-WV,39,878,836-7523,yes,yes,400,10.08511163019283,2,8.727932812393078,6.104846090127063,3,8.358179978236873,3.84840704806574,200,4.611665025872696,6.510205159687719,5,9.156623811139944,2
-PA,37,806,531-8988,no,no,0,1.514797721063041,2,2.044454786154001,3.961174896275904,2,2.9204737930259297,1.7799120540863058,150,2.1132384780082614,4.1177898248944835,5,6.598102213641019,7
-SC,51,836,205-8558,yes,yes,300,5.4978682013895455,3,6.595096758442858,3.4798562886580795,6,3.3802494904478992,4.866060417949883,150,5.669348335520167,5.151829078936399,6,1.881529359492356,5
-DC,29,686,277-8846,yes,no,0,10.998575000374574,4,5.6999716252880885,7.857770654985572,0,6.994487793628457,4.801264920143264,100,6.929759929509604,5.465171315528816,9,3.972673661852317,5
-WA,94,876,725-7866,no,yes,500,7.272167274935808,2,6.288674049326551,4.136557833337447,2,5.025824795197049,3.488666611406129,300,7.617615346964735,3.991952093628334,8,1.655959577265434,9
-CA,154,676,262-4711,no,no,0,1.6315889043845933,3,0.15294537560016508,3.4538780100789968,4,6.402349736327291,3.6942427721463424,150,4.208433628356183,2.953220151722627,3,7.377312801128942,7
-HI,9,727,731-2388,yes,no,0,10.722669554978633,3,6.8345176228465006,8.232844215172161,1,8.101011991430724,2.5877348728767577,200,6.5801409719018364,5.838483617884062,7,5.949151416275142,5
-NJ,144,787,895-7347,no,no,0,4.8712520888869975,2,6.409554277537192,4.830823570743477,4,3.9065945042681,4.263651955367925,250,4.213637786539681,4.953383701341995,7,4.100639649830208,5
-OK,128,797,829-4567,yes,yes,500,6.304001197079509,2,4.542866109900865,1.420050019860469,2,6.010840913890393,5.7969693266836675,250,5.535671982467974,5.433507626317307,9,1.4911681981256013,8
-NH,152,787,405-5285,no,yes,100,1.6716897418637098,5,0.4855316918857238,1.59322795325726,3,3.1297423249840963,4.4809262996512285,200,3.8356050156350863,6.628742198960067,3,1.842232462046105,6
-MD,110,776,582-6517,yes,yes,100,2.404561355681456,2,3.3486924477649933,1.387424582794767,7,0.3574225895577925,3.9040009021609703,200,3.8341678084159057,3.633953356900944,3,2.1700971961999485,4
-DC,33,686,862-7973,no,yes,200,7.583581895726986,4,8.250361206976445,7.676923223304239,7,3.631974073356452,2.5137689339356672,350,7.816209805026331,4.9805240919469576,7,0.3966361021395475,6
-IA,131,736,139-9315,yes,yes,800,2.7472441574020947,1,5.542968842519572,7.240153919069575,0,2.798649912201575,3.195282145901865,300,3.042060664240608,3.6369048535697472,6,7.660001277534413,6
-ND,174,786,482-7608,no,no,0,2.421727407791169,7,2.426147975639792,2.9609565004737415,5,2.9145484145662146,1.2392050803698271,300,1.614598684354433,4.720443356959014,7,3.0925041643675413,4
-RI,131,827,102-9504,no,yes,600,0.9875595653989784,6,1.9372231690403847,6.175227962540504,0,4.96730016043606,2.2764653663263275,250,4.253125261594018,5.636307744132725,3,6.530165860912298,6
-OR,123,798,804-7980,yes,no,0,1.4725747618329132,5,3.603382572550716,3.4893050646585864,7,3.4259225471331725,5.484060194235681,350,4.266825823638612,5.655031095114134,5,0.6389169536773975,7
-NH,115,787,799-6084,no,yes,600,8.088175561857453,5,5.280153396570847,5.348142044262051,3,7.1617635185207105,6.4231636123318685,300,5.306003158669917,3.9966555589520874,7,2.1328591165242496,8
-PA,117,806,124-1542,yes,yes,400,0.11726988231626212,4,0.5973946755275934,2.013975429227016,0,4.452262661926786,2.1756885596487474,250,6.040800181903225,5.4371524661282145,4,0.1751407337319728,8
-NM,92,787,383-9820,no,yes,300,10.53088534044,5,6.7615052284893915,8.115576868853173,1,7.714813777072233,3.799621401929536,150,6.458353925405947,5.419921166915318,6,5.315583984600541,5
-VT,82,868,287-1650,no,no,0,2.094743801448844,1,5.669552390694403,4.391684326072244,4,2.1509990167834854,1.6962925369376336,250,5.832549095439438,4.764924579012983,4,3.8521779018951423,5
-IL,51,737,216-4959,no,yes,400,0.6677342802407793,5,5.597943702672714,5.378923249400172,9,1.0458963520919236,2.1815098869753387,350,3.1772368643131723,4.1464763594686564,5,4.201615638425497,3
-MS,98,778,640-8511,yes,yes,200,8.151197082412754,3,5.648119476951648,7.184685738859466,0,6.410767568805145,2.7499978350921133,200,7.363586405900357,5.310778601065955,5,3.734514149629247,7
-NH,154,787,858-9745,no,yes,0,11.449468693629367,2,9.076941436806166,4.655494541914129,5,7.5886343005875645,4.905718351279077,150,7.369482057951344,4.650622680643508,4,3.840924404632573,5
-MI,122,777,775-8121,no,no,0,3.6871514938243486,7,1.6860410122141531,3.8016604450656137,7,1.8582586926929343,2.5859524659261224,400,2.0480136750443267,6.450810493761717,5,4.3580023431902095,3
-FL,99,707,640-1340,no,yes,100,11.535453481287652,3,8.610349444207262,5.5237252224203885,4,7.211519476366861,4.625775181584221,150,6.652296063447901,6.208800520599057,7,3.4123450135003948,4
-VA,40,866,556-7782,yes,no,0,1.1708402297350735,3,1.9687081397957105,2.3309288918434667,1,3.9365654372510495,3.621129392124685,150,4.793010980566732,5.128638372800873,4,2.704526428651018,6
-OR,73,798,239-2401,yes,yes,700,3.0270366846716183,5,4.363043096147329,3.0472530571642613,5,4.852215016820868,4.244379789082067,350,4.803898813124375,6.90359466704653,5,3.3912093913723096,5
-OK,195,797,194-7012,yes,no,0,10.941488833637028,1,8.582256712734933,4.808905496676103,2,8.1694973024835,3.166619147609642,100,6.222550042300219,5.5978548685010825,6,5.605181103137009,3
-KS,140,758,654-6821,no,no,0,4.252731277596873,1,4.092043825963957,6.537537653642192,1,5.072577138213758,3.63917432228958,250,5.045483847764787,5.704290151325901,4,6.4088017806536355,7
-MO,48,777,890-2448,yes,no,0,3.8764965924615487,3,2.9744601173524767,7.848951520114268,1,4.230619937324123,2.756264581352749,250,5.92741976238923,6.3539434166911795,6,4.093417239498745,8
-IA,80,736,677-6308,no,yes,500,6.216406458770317,5,4.8276711069127485,5.745930665613308,2,5.725781132007746,4.973372810027504,100,4.479264373470928,3.635857271744356,5,6.898173992647133,4
-RI,2,827,876-3774,yes,yes,700,1.846629499907129,4,3.9273593374651248,1.0087251071503411,4,4.5536559549557944,2.356611696920861,350,4.387887932333996,5.270108453837435,9,0.7638609297171177,6
-MO,55,777,582-3883,no,no,0,11.873992857734947,5,7.830875641145009,7.474178797603508,2,7.955476785853745,4.069517885158852,100,6.4690397904628325,5.628250198424633,7,6.066328262202772,4
-NC,174,786,750-3219,yes,yes,900,1.1781996667903891,4,3.906289554812101,5.92891281710277,4,2.295673838165272,4.045138880650756,350,0.23930328651916444,5.816194010545027,6,9.711217947373557,2
-NM,140,787,247-4332,yes,yes,100,11.885873151578913,3,6.988119848124873,4.656385753608348,0,9.652191509654909,4.160210649858666,0,7.5339748738706325,4.986299973661564,3,5.103144122027379,6
-AK,20,657,991-6449,yes,no,0,1.3453998392213655,3,7.05436610682335,6.220600398322272,10,1.26908938176484,5.597490868859548,450,1.9137962498820456,4.521480046694112,6,6.387047167799407,2
-WI,93,877,586-3357,no,yes,400,4.521234316912289,4,4.1177130770137325,2.102567956126086,2,4.521354896239245,4.42087187017557,50,5.830712545780992,5.858958407051494,6,1.155675394593081,8
-AL,71,657,254-6889,no,yes,500,6.0446737406947335,3,4.996318753785549,5.03335592265535,3,5.317290424863835,5.228193082797446,300,6.838350165399811,3.927973418610616,4,2.978239905585583,7
-CT,194,678,176-9722,yes,yes,600,2.97905238948438,0,3.2861772757000054,3.902056452233292,0,3.981430377048968,4.896323120638672,250,5.342431270432236,5.444968394760981,4,3.5897800981214982,8
-MA,20,776,542-7225,no,yes,400,1.9781106819796488,4,5.052229282259326,6.358468126221696,6,2.8235972273411063,4.639993801653496,250,3.4142980228074,2.7056062287131346,2,8.95618756003483,2
-NE,135,786,315-1335,yes,no,0,4.6966056701617696,4,5.999316689880942,3.637211303606243,4,5.190542436936961,3.5164478982301683,150,5.184207879799044,6.0923904615132995,3,4.349764192690343,6
-GA,162,716,256-5344,no,yes,400,2.235465271026342,4,1.3325534145466853,3.6977323719738613,2,4.956894810799298,1.1314930537680574,150,6.513527727560115,4.177091460590485,6,0.5714127857300912,9
-FL,99,707,562-9922,yes,yes,500,3.5711186063009555,4,3.7839581772409336,1.2914337100514228,2,6.069098141142534,4.287831236264905,200,4.284149175455585,4.985263627011039,5,2.164663124093228,7
-LA,90,766,524-7882,yes,no,0,0.6072898512301546,3,3.2690507099271997,3.741790688889587,2,3.3550066751902383,2.22205339492586,250,4.377446111426493,5.5710177022294936,4,4.703694000389704,5
-RI,110,827,945-2130,no,no,0,11.94849359280746,4,7.43184292283787,6.755861252176546,0,7.753756470060715,2.653137295324305,150,7.874644751547805,5.205829820194344,9,2.3519304989825867,6
-IA,123,736,675-7454,no,yes,600,5.545423099202927,4,4.97837885529677,5.728277435400704,0,5.475182062475464,2.8435171340260768,250,5.513853276592678,4.3741789032708684,7,3.4569544141702995,7
-IN,79,737,880-8379,yes,no,0,2.9866711530392016,0,1.183260802673248,0.2806332469739168,2,1.2950917602453171,0.7569802142366244,200,3.9181031951569643,5.365483617581871,7,0.5402073321075429,9
-VA,69,866,888-4738,yes,no,0,1.867069320935124,3,2.1492610292119814,4.917708188944113,2,3.833818938168876,1.1990067962020192,250,6.6545457394526375,5.13170798321651,5,1.1250108857284171,9
-TX,43,848,786-1981,no,no,0,5.462053296593628,2,6.330424525347286,3.9592083524717214,7,4.847905618281283,8.798108877079834,300,2.415830052584917,4.290109759850576,5,6.672567861378933,4
-MO,93,777,986-7065,yes,yes,700,3.808807463472129,2,1.068555895581316,2.431920805712603,4,7.270484287840673,3.465197153764052,100,5.6674738632123125,6.7046383450145575,3,5.438085539587897,7
-ME,78,776,213-5120,no,yes,700,10.70328271262655,2,5.394691040251735,7.535299636196545,0,8.33769394060171,8.15507133262599,200,5.083873880129616,5.430505084733932,5,9.602791352054284,5
-CT,198,678,831-7611,yes,yes,700,3.804054367218364,2,4.086472563846597,3.925173874679448,3,4.370805321503366,6.7382728123434505,400,3.5919550273832415,4.726577302851918,8,1.846573590280939,7
-NV,83,788,429-9075,no,no,0,5.101980170104178,2,5.297874959448462,5.393842095186718,4,4.269149736841643,5.898803196762391,400,5.228164685361123,2.9892445914898387,6,2.59984431646762,7
-LA,177,766,153-3012,no,yes,500,5.2514422418020805,1,3.5513750769176338,4.655741384494017,0,4.154326939366527,4.191150563077751,200,6.479507383354883,5.621092731168443,7,0.9716373418363008,8
-AZ,199,659,800-1610,no,yes,200,5.44630610327501,5,2.5570025234922573,4.460644123080673,7,0.04058186519159968,1.0145038545627243,250,1.12754416944221,3.458242487726117,4,6.472059267909375,2
-PA,13,806,461-2596,yes,yes,400,0.13520194910926975,1,3.5191154844122434,3.6183896467555994,5,1.9079753122183667,5.8458374487351366,250,2.952728187295261,3.8469177173191715,4,5.384141311181753,4
-OH,157,797,720-1436,no,yes,100,10.899230949814935,4,9.982387499476069,6.337348378885633,6,7.484734814403312,4.800408461498897,150,4.9075501650938405,4.313043030635089,5,7.180154667981441,3
-ID,161,736,798-3361,no,no,0,4.18336636344419,4,5.3855209869641305,5.656057277976543,5,3.9428604014213695,4.525541667178256,250,4.580362533468291,5.1634589041468155,5,4.457173276680303,5
-AL,47,657,455-6344,yes,no,0,3.750855926380288,1,1.9880754131870475,3.7991358240698614,5,0.1994207218617463,4.6890904197508485,300,3.102832426765125,4.2899795839060815,2,4.6734895305582365,5
-MN,120,777,849-4248,no,yes,300,5.067739215789851,1,7.157377155068529,4.396244304493721,3,4.879994366093919,2.082137539263778,250,5.336997743999638,4.1700625256910415,5,3.735151104983324,6
-TN,127,847,234-6830,no,no,0,2.5784340750653563,3,0.27741154793476497,0.6217953624671493,2,2.6602954440606563,3.326750383957793,300,3.931553574722686,5.0020572144245286,5,0.667789853521553,7
-CO,51,677,530-2934,yes,yes,400,7.535174715104353,3,6.96604046731983,3.866781844128515,5,5.084761865411495,5.549879786650701,100,5.146029389953462,3.6713497912356168,6,4.328375690782602,4
-NV,24,788,863-4747,yes,yes,200,7.514620834976587,4,6.8938148164774224,6.754833839288835,3,4.8033551688839315,2.9228062063654363,200,6.588861230799735,4.227113760299981,8,1.2747491128132404,7
-DE,33,686,291-7408,no,yes,700,0.8544833773904967,2,4.958971038258331,3.800313664929375,7,1.9638840244757032,4.44052833698736,450,3.8643539543458014,4.349945251610467,6,2.896490707021929,4
-AK,113,657,480-9592,yes,yes,600,0.7821213306468211,2,5.205675373055579,5.2623747712926985,6,1.5138063609550685,3.593502152549335,400,3.653722806435272,6.489434307125566,7,2.8801606025272486,5
-VT,182,868,148-4720,yes,yes,500,4.666779517171845,0,6.661814110304898,6.204288877570367,5,2.586458830081757,5.740598587631299,250,4.016629447204855,5.172386108218452,5,6.6061910946923295,4
-NV,168,788,750-3318,yes,yes,800,5.427479693092189,1,4.6830327072666025,4.081664349580606,1,5.799545086006188,3.8695295650847017,200,4.6746880568992415,4.382407115231756,6,5.167562473816044,7
-ID,44,736,558-8855,no,no,0,1.8695098321742345,3,3.143568897197041,1.3920940335405905,4,1.6033623470202314,1.1072162656336642,200,3.775621988941561,3.672146237374704,6,0.21994969884177,6
-KY,108,758,700-3385,yes,no,0,8.018662062129625,3,5.559914005021912,5.731185438026418,1,5.56820765145859,3.3968437731470873,150,7.031477708288316,4.6133019184471,7,2.460583226260871,6
-MO,171,777,835-4356,yes,yes,500,1.5802716746902257,5,3.951505960589344,5.656595455896207,4,3.4473384412963632,3.4104345045503983,350,3.814098085320009,3.9862421634365552,6,3.323574137603116,6
-IA,60,736,122-5145,yes,no,0,6.352445189970608,4,2.0144293776288014,8.054847416797855,5,6.386954051851492,2.9478750687220177,150,5.824294312807478,5.353624264741597,7,6.389093872665657,6
-SC,183,836,659-3345,yes,yes,600,1.6844427189847675,4,2.374799510360337,2.339493745529361,3,5.0288746676726,5.300347280854775,300,3.282642875414075,3.903109491218398,6,3.4071637116066875,5
-AR,149,658,534-5322,no,no,0,7.950453451365885,2,6.508308188740907,8.586243293681642,1,6.7868350684801815,1.8628680433216784,200,5.135587103453129,4.965737610880339,6,7.885267195441487,5
-OK,171,797,683-2067,yes,yes,500,0.8598369889316437,2,2.926582124022123,2.4731859633762534,2,2.1632148133339983,2.4904552875528467,250,3.2306495715239,4.043238644504109,7,2.1443116975314953,6
-CO,52,677,776-2916,yes,no,0,4.413527322655666,2,4.145490011268547,4.6732140059562814,0,5.035410651607152,3.309545143680632,350,5.014454502994621,4.847986078980153,8,2.8118825509677503,7
-AR,144,658,889-8178,yes,yes,500,7.458814967210207,3,6.5831112425480365,4.496101216719632,5,5.490363485651908,4.8145283124200695,300,7.1094370993128075,6.869146697336008,5,1.6627445015960205,7
-MN,79,777,591-4219,yes,no,0,7.5365875206683,1,3.9745394100793376,4.072852885241736,2,7.880298649427071,6.9757463211116315,300,4.353465869856503,3.953597296897757,7,5.287989397528844,8
-LA,151,766,866-5109,no,no,0,2.556994246633582,5,1.9949002557933424,2.89253718255268,0,6.3813920098567225,4.141805755828932,300,3.053252105299436,3.6428552185976635,8,2.6544970866832167,7
-MO,136,777,195-9750,no,yes,400,6.15220866921929,4,6.224183509100508,3.4240670994690974,7,5.7085670210705866,8.167077212735673,50,3.5110964471692236,3.208191169443956,2,8.688400888800743,3
-KS,164,758,414-5551,yes,no,0,4.140002104386642,1,3.877023290043232,6.662533619699793,3,5.325697664943187,2.1277312895998457,350,4.37858613658397,4.516991400364903,8,5.510889175166764,8
-MS,51,778,648-4359,no,yes,200,5.009147106433884,2,6.106870378047933,5.395562847261754,3,3.818967517248524,2.6783303241312826,250,6.889642403258242,5.2093514307145465,5,0.15782596206626298,9
-WI,132,877,219-5958,no,no,0,9.694078672924787,1,6.713320719037409,7.473670999190025,0,8.627106506683416,3.4734005237508847,200,4.4069213714927455,6.3422999647003016,6,10.421202029125322,2
-MN,86,777,315-7690,yes,yes,700,3.932101848443183,1,4.154654744955373,5.4172755255614575,1,4.220055016721175,3.77464329837501,250,4.759455926795974,6.754927138555567,6,3.6910347377571733,8
-KS,140,758,260-9691,no,yes,500,7.749941617754807,5,5.282886333953557,5.930149438218843,2,6.384660856189704,5.932567522623022,50,4.449896211045879,4.306957048309832,5,8.118495001597124,4
-OR,137,798,444-1466,no,no,0,11.591696295354275,3,5.865394731771534,8.430824139809879,2,9.051715361794859,3.0278638667151467,150,6.851154853501312,5.256999416313022,7,6.708014721965803,4
-NC,27,786,131-7460,yes,no,0,2.638502102717849,3,8.970366954440252,5.90450717997946,11,0.7426400975921297,2.375067097312079,400,4.58044571140865,6.8469569290655174,6,2.5145711391617427,3
-OR,29,798,244-9603,yes,no,0,5.534511077589948,3,7.300417540888617,7.020839703807358,4,3.9818621176142672,2.369923070367621,300,5.548167364351587,5.521509150585189,6,3.9031961107028734,6
-HI,153,727,453-1564,no,yes,100,9.391360376632946,2,7.133998813515188,6.607212001734223,0,7.793013204336782,1.5458332812448818,200,7.084024705900682,4.372646901356544,5,4.402610584344964,6
-TX,27,848,512-2707,no,yes,700,7.756841124799558,0,4.7975520839893155,3.2303433374897605,1,6.926219009671639,7.245022404821254,100,4.385167148685887,4.20805094415738,6,5.547318754811751,7
-CA,130,676,731-8417,no,no,0,4.149690919969937,4,1.5491513339067993,3.6475257262688,2,6.441581434976991,3.6243343836220228,150,5.522070291114937,7.200366546970887,5,5.129620562043762,6
-WV,99,878,990-2436,yes,no,0,8.439891342573775,6,6.509883375345793,4.908701559172683,5,6.2056379012680125,5.068467272260214,50,7.601020310336348,4.717347109626795,3,2.1562570466842894,7
-WI,32,877,453-2258,yes,yes,1000,2.7725065371721964,2,5.155982266444093,5.869347148909903,2,3.854299002562228,4.760915863463593,400,1.109929159696831,4.720448394787343,9,7.000304420810348,5
-NY,85,788,745-4809,no,no,0,8.934940281597457,5,4.28430911913747,6.635122992705598,1,6.30762395536859,5.530570959666316,100,5.017208054378081,4.868164732295237,10,6.061391217994967,3
-VT,134,868,114-7878,no,no,0,13.647522389639722,1,9.055602647885543,7.543267210167307,0,9.008373217043369,3.0235233869500298,150,7.632026533206388,4.349759784840908,6,5.045708494345496,5
-ND,183,786,602-8296,no,no,0,4.951443208345978,3,4.368305251301479,2.9064419363069165,0,6.2042090855303655,4.8280210764846245,250,4.059841836385236,3.961140549376477,7,3.8429437616090936,7
-AK,59,657,842-6151,no,yes,400,0.09467913686583528,5,2.676748271919683,2.2185116955416566,5,3.5894298803972995,3.473932162565634,300,3.83531742868956,3.6358449591959334,5,2.6178143682140838,4
-TN,89,847,513-9390,no,no,0,1.2439918469382594,5,1.44454070193146,0.5220603741075589,6,3.903203043280695,4.9461169794521,350,3.0041629429981156,6.223144358963133,5,2.36932261556423,4
-MS,161,778,974-8255,no,no,0,10.979448480029214,0,7.971990011564142,7.160548031523554,1,7.463517773316365,3.2642159591121325,200,6.9478494496669505,5.5407154560266205,6,4.238154136351397,5
-HI,145,727,954-9632,yes,no,0,4.433946224805883,4,3.850073042787368,6.164412200315546,1,4.842565850516264,3.919256002229007,300,5.5553296364688585,3.150420718033125,6,3.087943128002581,7
-CA,168,676,413-2370,no,no,0,10.254253734118564,3,8.883516244542976,7.860556258336869,2,6.7296764654452765,2.8902226546753798,200,5.5141785670726176,3.6358009897751753,7,6.053839672674052,5
-AR,145,658,410-5499,yes,no,0,9.335074409590254,0,5.836897702823124,4.742156740004514,2,8.803146400528277,3.7773074629774817,100,5.408091386419526,5.785856434530443,5,7.608357763174489,5
-NV,116,788,921-6935,yes,no,0,7.676941053197262,2,6.807654338104259,6.182222287785399,4,6.350307660753153,5.706891454644254,200,4.160911711656922,4.4066124321769085,4,7.7986581767946515,3
-NY,169,788,539-7197,no,no,0,8.637488265584555,4,6.152959230380801,5.698726740586662,1,7.33185936266732,0.9966191610660466,150,7.457521844911432,6.806321888062597,6,3.33634441195962,7
-VT,57,868,388-8558,yes,no,0,7.935873637350272,4,3.959684641071195,5.639986180090754,0,7.062839992957194,3.918374863159511,250,8.760670928021712,4.621756835146593,4,1.992496250153847,8
-VT,3,868,725-7101,no,yes,100,0.6170388704420633,6,3.0659345314422404,5.738179679865596,5,3.1700250571215105,3.9747137568952913,250,3.7103309090503327,4.307189149044447,4,4.02194097096753,5
-NE,107,786,287-1842,no,no,0,1.2238246737301797,3,4.3266016791131054,1.5531383460857002,3,2.803363209347322,4.160634751600254,150,3.7274972757828033,5.947411063029177,5,3.3227597386499936,6
-RI,193,827,897-4057,yes,no,0,0.6443297511237729,4,4.5950271285365965,8.865987762628652,2,2.0388948191421354,0.9455769911025752,350,4.019695165719312,4.798048518705028,5,6.875131791788321,5
-NV,7,788,180-7256,yes,yes,700,2.1138685626955587,5,1.3399283896177083,0.4304584784114418,1,5.117602162389216,1.445938538260144,300,4.6467976251203735,4.281622038694249,5,0.6383681161668067,7
-PA,34,806,237-8891,no,yes,500,4.734691248211374,2,3.3101613804909134,6.764068074203911,1,4.8703858583133215,2.6605192162156333,250,5.891438392664341,5.6822803308705625,6,4.289226156076395,6
-VA,6,866,337-8494,yes,yes,600,9.904341585722543,7,6.468587813024497,6.75051553049986,3,8.130115085246263,4.654777623271546,350,7.166630022424947,4.918597799195221,6,2.4060695046314846,8
-NH,85,787,127-9630,no,yes,300,2.760630546454277,6,3.2253272930736747,4.712368865034243,1,4.616557541563129,0.04715567215134087,300,7.362362108171357,6.544505351673831,6,0.5832760028636894,8
-KS,187,758,703-4351,no,yes,300,2.8566061774937173,4,5.885833033942848,4.987400233322483,5,3.1469060606018098,3.11046027687029,250,5.2026253124683945,4.210392768256054,4,2.6144347628427083,8
-DE,156,686,555-9743,yes,yes,1000,1.931108708361546,2,4.4869051877347115,1.9385535214125265,5,4.190337264824703,6.873541193157407,400,0.5892095308456379,6.2385979472767685,10,4.272364844623298,4
-PA,96,806,795-3189,no,yes,200,1.4039852562168258,3,3.0202054666084934,4.1475599586175695,4,1.5875453772096098,2.3199484226249143,150,4.161155315098098,5.9198942137188855,2,5.117816496355363,5
-CA,28,676,614-5668,yes,yes,400,9.697617467117297,4,6.478476481963615,8.746120758125539,0,7.23299516518262,3.1520636732076364,250,6.396778079303223,2.7512349136613814,6,6.4116574019224215,4
-NY,198,788,925-6000,yes,yes,600,1.8164858821899443,4,2.7057304054383877,2.790770062456788,3,3.0716484363646166,3.114852435486136,150,1.3507195094156716,5.845825762025638,3,8.525105825729288,3
-VA,158,866,515-3790,no,no,0,2.828990859511072,5,2.1272314560373333,5.188367200874894,3,5.549854816020624,2.002545629681,300,5.436401162698248,4.793620651233407,6,1.7376161373498924,11
-MS,169,778,621-2491,no,yes,500,3.2537853261242717,4,4.271001503698905,4.311979519626972,2,4.5942719360970585,3.9494157814809467,250,4.786558882944141,2.440628038485047,5,3.1870337052044877,7
-PA,186,806,550-3044,no,yes,200,5.86030779179227,4,7.154106764421643,9.038487115746216,1,4.007243193354961,0.13664193950586245,350,8.032937959302224,4.02028642142224,5,0.032697228925471215,10
-WY,128,878,332-1643,yes,yes,700,0.2527203774854039,4,2.748402345306438,3.7993419433186224,3,3.5504770049621763,3.8586999961522017,350,2.093565045301082,5.074322418562883,6,4.985107267083391,5
-IN,170,737,424-6809,yes,yes,700,0.7985191568261998,4,2.376014020960872,3.3295199298697336,0,4.656153980705095,2.1348492239569508,300,3.5973973422725063,3.878533363437037,6,3.4111211550263945,6
-DC,28,686,597-2896,yes,no,0,4.89560543003195,2,4.511353144662172,6.052490039136102,1,5.6032342520735545,3.3139163435778096,200,4.967861668522512,3.893002877297581,4,5.283998977187028,8
-HI,155,727,521-8380,yes,yes,400,3.9882700094829953,3,3.1765226072560147,5.882807958165331,0,4.418177841379197,3.211996370683194,200,6.727125468296838,6.655041358559156,4,2.011580878781862,9
-MA,74,776,747-4139,yes,no,0,6.7377646663648845,3,4.220165319249383,4.9840948179142135,0,6.12828385102543,4.239082550296988,200,6.690425252234252,5.711875928084365,6,1.78858281915549,8
-LA,38,766,777-9397,no,no,0,4.343149184704733,4,6.048965610614069,2.856889826599666,8,4.166852093325239,6.459132682007627,150,4.155027959933121,5.39714479048012,4,4.727594826190557,4
-NJ,21,787,509-8965,yes,no,0,3.6577698324095738,5,4.6176818250881855,4.341112398934271,3,4.981278727274503,2.9069569767842203,250,5.611471795212413,5.5389398748666325,4,3.511567878759742,7
-MA,21,776,329-8757,no,yes,200,13.87101977155947,4,9.99299546813247,7.119546700468915,5,8.253025174455624,4.62327424310649,100,5.659331325262682,4.576526588251913,9,6.239681334330107,1
-AZ,108,659,411-5817,no,yes,300,3.9853012944269834,2,4.9180080562287385,6.489205401039902,1,3.82334003507853,3.206919870858952,250,5.782852245659066,4.125363141491269,5,2.915975686580977,8
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-SC,178,836,482-6924,yes,no,0,4.113598389963926,5,5.306281105634748,6.166345934560348,5,4.575185302962684,5.724720712620798,200,3.2706299056197543,3.867966086575637,4,7.696786027568543,5
-MN,39,777,239-3221,yes,yes,400,3.0993317194770675,3,5.531346406420892,5.881317230883491,4,3.060075129893882,4.474727824321397,200,4.163533426643362,4.680788936308332,4,6.508244523483884,5
-ID,182,736,634-6572,no,yes,500,5.168287051014622,1,5.054086944370832,7.075764713259442,1,6.463226142030544,3.1463060859515672,250,4.247227168090303,5.1250647326943,3,8.928371384262912,6
-UT,144,858,636-1485,no,no,0,7.4393399062330685,3,6.7739029078280595,5.473896391676531,4,4.916982286016283,4.01377603146276,200,7.826982821855628,4.019315537088055,4,0.6937873465166966,8
-LA,14,766,188-9608,yes,yes,500,1.2577999198811467,4,1.991570022127008,6.5209746953839565,1,3.4660432942495065,2.5769244064128127,300,6.692676993572801,5.8181338462880445,2,2.395711675818517,10
-ID,97,736,126-1766,yes,no,0,9.459024513782314,2,7.506237184776483,6.035873307307803,2,7.7776221755115875,3.9567731794462286,150,4.141740873739401,5.12069848213551,7,8.153480275638291,2
-NH,86,787,308-8786,no,no,0,6.3839685344244375,3,6.074151873493321,6.788121552322117,4,5.483487131891949,7.432454457325193,300,3.345745128551921,4.388048281518221,4,8.728950425583665,4
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-MA,75,776,365-3607,no,yes,700,0.903566417168471,2,3.02113750615428,2.1414894544849865,2,3.2314036086698,4.219906434493768,300,2.4287869039190078,6.242534387608188,10,1.3174380907676575,6
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-IN,122,737,895-5250,no,no,0,4.575369947766049,4,6.5315360934242594,7.860523039349272,5,2.1056945071639803,2.998887008353764,350,7.409001240341839,4.682988403696061,5,0.4273705730691413,9
-CA,38,676,257-7884,no,no,0,0.5940793309613923,3,1.853837490901435,2.3152373351866067,5,1.9900361993788,3.4155534978763047,300,5.5878671581566755,7.077889048317583,5,0.24204681931262506,5
-AL,9,657,299-1356,yes,no,0,5.4605486569196335,4,4.9642464368092005,4.683292457655139,3,4.998191212735506,3.1274613583746036,250,7.291615053311799,3.3815407826737323,5,0.366257532466558,7
-MO,89,777,271-6946,no,yes,800,3.3683874993735157,7,3.0410237224032883,3.0714973111119317,4,3.686330454798588,6.003786046673714,50,4.501684716477256,5.353550369673915,6,4.272042340819139,5
-UT,39,858,492-6999,yes,no,0,4.060265503510294,4,3.935881644825964,6.384497679777208,4,0.1807784958797196,0.3201565925077601,350,0.6239068329665001,4.9956803862763115,9,5.389737338725093,4
-AR,30,658,100-5224,no,no,0,8.928784149482055,4,6.103600937629826,2.863237028429173,3,8.70220721663663,5.268437609434724,0,4.771084221177931,4.2226788618241065,4,7.559207159259799,3
-MD,135,776,931-6170,yes,yes,200,8.052061930382507,3,8.173919502211374,7.399918158147869,3,4.925520008530544,1.8995429117336389,250,6.7201204532179455,5.509375784332922,7,1.8728925293069016,7
-MD,53,776,804-3649,yes,yes,600,9.689907363995156,5,4.499984286441033,6.8127397233749685,0,7.480399066889068,3.835961413696635,150,7.219148274030491,4.348381783573426,7,5.268019314217751,4
-SC,100,836,660-6654,no,no,0,5.686216156780941,3,4.173494034352894,6.465437495688847,2,4.876659879973868,6.051706086171659,250,5.115905068873303,4.688038082957135,5,6.028739476541983,5
-IL,39,737,515-6069,no,yes,400,5.723371893214695,3,3.802818655422056,5.374911329730036,3,6.174349757965267,0.8126916874244952,150,7.209131299420531,4.570586959396751,6,2.181339609430932,8
-RI,40,827,267-2591,no,yes,600,4.068037333666167,6,5.246092761130491,2.011075861808887,11,2.7403182785651303,8.282605535724336,100,4.347705991010849,6.239824052892837,5,3.649019533638148,3
-OH,79,797,921-1235,yes,yes,600,4.10622893657423,4,2.7576590228326787,2.2044094885599748,0,5.8893242918755115,2.8838934296273138,150,8.104107337105424,5.402526516928584,2,1.4670655624151363,9
-MS,188,778,377-3618,no,yes,600,2.9203943760333564,4,6.54696709220554,6.144324271617148,7,2.8774260395955595,3.978926810746468,350,2.473641279051594,5.550437082528329,8,6.032630110451887,3
-AZ,133,659,592-3518,no,yes,400,2.882620403037518,4,1.7725981561625352,2.084430753307666,3,1.9168058654781848,1.8968001317585743,200,3.1384329154307986,4.481705520203331,4,2.946738011169544,5
-OH,138,797,440-7096,yes,no,0,4.0892162991379335,4,3.9035829723938784,3.2659652346681827,0,5.415101812348817,2.774851670892821,250,6.381724476928016,5.737970767987334,6,0.3914334139214848,9
-IN,56,737,452-5959,no,yes,200,9.985060198895429,4,8.596356948650115,5.603399556915453,4,6.0101586066257635,3.361136673656561,150,6.345916121107559,4.709837367147643,8,2.6072546295848147,5
-AK,16,657,270-6205,no,yes,600,2.998827136579876,1,5.190509880511266,3.145537409565959,5,3.4496047549525453,6.4283664131188125,250,3.0930648947976493,4.969707514815065,5,5.723621165098558,4
-OK,101,797,789-8656,yes,yes,1000,6.086414382735533,3,3.8559161374089896,5.073254356070794,1,7.4229272159672925,5.803802826426789,300,3.648607514805631,6.336923563794137,6,7.643998692436456,6
-TX,46,848,762-1853,yes,yes,600,9.646538354061004,0,6.311015521928081,4.032927517599251,0,5.969430118476742,7.8757260677999374,100,5.307703919457736,4.971029483113618,7,4.177445922829613,7
-IL,116,737,727-4603,no,no,0,5.354936071676382,0,4.395984820034172,2.8674508386987103,1,4.938782346730134,5.6289907937504555,200,5.646390926312772,6.813380928431723,5,3.302568258953269,6
-HI,51,727,645-5618,no,no,0,4.0830933221324965,1,4.887825249917287,4.740304684050494,1,3.033475682494694,3.1849669500007094,200,7.192147666906383,4.249407443671818,4,1.3002931617584117,8
-OK,107,797,479-8187,yes,no,0,4.2541504444574585,1,4.252044025787373,4.825164591859278,0,4.364420814809935,4.259034657769721,300,4.2848209688399415,3.4543408313591786,8,3.4212916199599173,7
-MO,29,777,141-8258,no,no,0,4.433579359521006,3,5.025593684339812,3.909011239245858,4,5.045750272536549,5.058732976574334,400,4.331583113985278,4.2802355356548984,7,2.2178302705208344,6
-LA,130,766,635-6180,yes,no,0,7.674595980205505,4,6.665467217029268,6.276851134346414,5,4.2103994405108836,4.010715485815411,200,6.2146921553495025,5.908564091412036,9,1.6514077629760764,5
-UT,70,858,670-8090,no,no,0,3.415428306384856,3,0.9797084955816135,0.10726053992186736,3,2.3926026897127874,2.2424971199939137,200,3.1917082595277884,5.331563486115806,5,1.2904447841670836,6
-NV,168,788,139-2815,no,no,0,3.5006258024049974,5,2.8089985295828663,2.9971509072317417,0,6.434818482496477,1.2898790654556445,250,6.841944250773113,4.255385621378101,5,1.4901479870170615,8
-NV,55,788,319-8177,yes,yes,800,1.5593349106201542,4,2.847966967032677,5.66619613319267,2,2.038418319252502,1.0084397653125614,400,3.471373545477628,4.487351013869749,6,4.446726349203179,5
-MD,178,776,937-9929,no,no,0,4.153946594042634,4,2.516517592957181,5.3212298226625165,1,6.1290603263098165,3.900966759290864,200,6.5049943462086794,5.351170822945559,2,4.007925498586292,9
-MD,133,776,474-8292,yes,no,0,0.24269268254804646,4,4.189358663532813,5.457604012511139,8,1.726802466125919,4.824764676379685,400,2.094933415786552,4.391648699622625,6,5.418578077414399,3
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-MS,183,778,195-9026,no,no,0,9.246195513144926,2,7.6274854662903975,3.3174719570247846,4,7.631998163616459,5.281249807149403,50,5.166530582801378,4.763554592563131,4,6.742954399267844,4
-NM,82,787,371-9621,no,yes,700,5.640631983978003,5,7.458319694508178,6.502491871107409,7,4.432347452534879,5.632676607943265,350,2.011646924801214,3.275029512876756,9,5.952758985956193,4
-AZ,12,659,522-1142,yes,yes,800,5.336233283057791,1,4.167358207192295,4.5440722620802765,0,5.4710783175947215,5.5884306657675165,350,4.537396920484199,6.173600501724334,8,2.245508304179477,9
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-MO,68,777,445-9975,yes,no,0,2.8308152349753493,4,5.098778780906551,4.93217088836027,4,4.273858418243687,3.3841768971706587,300,3.2868568503113265,4.5897847032558134,6,5.142244352356914,5
-CT,85,678,915-1251,yes,no,0,0.3719625159049533,4,0.7840854065211662,0.5686321484141956,0,5.137175945868886,2.542215756321498,350,4.551241373273474,5.034482465323932,9,1.8517180796921835,9
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-IA,119,736,716-3931,yes,no,0,1.9340628283419237,5,3.771477242092984,2.421694413559232,3,3.0219954389199137,3.1519672411347632,150,6.49482968737312,6.119195887146244,4,0.6983449751721125,10
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-ID,114,736,230-6320,no,yes,500,3.4170669512264515,2,6.5529027694538895,7.1745068559939185,6,3.493863889892304,6.3394499763398935,300,1.6921348885849454,6.3485494045514965,4,9.980525500786497,4
-OH,195,797,610-7521,no,yes,200,0.7158316005991567,4,3.745934970318317,2.951786408556794,9,1.7942378228798646,5.185266212194737,300,2.8875077275196466,6.8484065983601745,5,2.5800002970888345,4
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-MO,64,777,414-4700,no,yes,500,4.277531136008174,4,7.192475101299214,6.495838566012018,7,3.0962961258295216,5.316905855385368,300,3.1645891056080337,4.044648861773596,6,6.095872027285425,4
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-MN,112,777,612-5386,no,yes,100,10.578212200996724,4,7.865150748059378,7.843785695223782,2,8.348170706849256,3.57719590291427,200,5.665079124527272,6.084146631317549,5,7.940399006985513,3
-OH,121,797,981-1571,yes,yes,900,3.120334649370438,3,2.7904216157682096,2.9906670269114923,1,5.726256385248816,3.344824629557362,350,3.2429264078213307,5.005078243665951,11,0.643160508125324,8
-NJ,123,787,198-2015,yes,no,0,0.39538457639227786,4,3.801825742849888,4.2207658860065305,5,2.675498130774045,4.753101585637081,300,1.0519337782913962,6.974039123231735,6,6.383404178111254,4
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-MD,143,776,484-5654,yes,yes,600,6.825795788658652,4,6.439107286668347,7.121866528459631,2,5.733524699286777,3.151744119528656,200,4.582184655062929,5.1608334586885,7,6.350986908167036,5
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-KS,115,758,651-9246,yes,yes,200,8.595271775164598,2,9.520770243304911,6.872577966900136,4,6.905715510303447,2.805073133075942,250,4.912405135944188,4.994470665802756,4,6.884470902377378,5
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-MI,178,777,952-7736,no,no,0,6.491388352204562,3,6.5523747054542385,5.425541617211874,5,5.000155878186323,5.375873617466134,300,4.9966264132234866,3.5250332540426013,6,4.648988670617366,5
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-ID,189,736,667-2795,yes,yes,600,0.3182121277758885,4,3.3220378410269342,4.707956064616038,4,2.7688906165755984,2.3791008534129494,350,3.3948692416919077,5.1571264227260905,6,4.097329783707954,5
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-ID,190,736,661-1322,no,no,0,4.662284546738933,4,5.447646820819057,7.16056963637891,11,1.6007899149108502,2.740543663702855,550,0.3512041059462057,4.406507550581475,7,6.26270888373179,2
-MI,182,777,681-9396,yes,no,0,8.535677919284808,2,9.23927279596867,7.099042359607876,5,4.14866939215506,2.862589103673681,250,5.75598222274787,6.657423081674848,9,3.082492969823628,4
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-CO,184,677,202-8221,no,no,0,4.441940301145067,0,6.307763854922122,4.9670194511800405,5,2.5010096232011776,6.455427143717861,150,4.850860966525809,4.324242410898774,3,5.044068952036419,5
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-MT,108,778,573-6368,no,no,0,8.272909258904011,2,6.5475689107665325,7.9432987511234945,0,5.653347020934628,1.0769977226406042,300,8.10669482467911,5.489418439569186,7,1.8284056531622968,7
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-VA,152,866,433-2968,yes,yes,500,4.33699369376712,3,4.685538464754481,4.744389854465993,0,4.8728625713447045,2.908219572356165,200,5.505049075785174,4.093280671244871,5,3.952846536695093,7
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-OH,78,797,824-1179,yes,no,0,8.231572997994945,2,7.336587581729796,4.185719619269911,6,5.080695781486217,7.56873773164219,250,5.239754131021959,5.8738664979218695,7,3.0652650571264486,5
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-WV,72,878,588-5823,yes,no,0,1.235203387417751,5,4.736454337855443,2.1921202976227887,7,3.4965418255820278,3.5371971959750104,150,3.5018183909975713,6.5508615693163605,4,3.748577200432532,3
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-AR,191,658,793-3646,yes,yes,100,13.261102943769288,4,9.957552326005985,7.5674336500916075,4,9.487614253374216,4.305871058339482,150,6.2289214058833755,4.768465663991106,4,8.358679301321754,3
-LA,39,766,124-9298,no,no,0,9.488621532520316,0,9.497634894541543,6.862522716490008,6,4.6331738590992835,6.2730276163971,500,6.194188586080075,5.321923762931653,8,3.0327048443035167,6
-NV,41,788,125-5816,no,yes,300,6.563048718722053,4,4.995428068311053,4.532936542213928,1,5.0356086667300515,1.7611970100323844,200,9.341200200243835,5.5366947525346575,5,1.684250152981794,9
-WY,117,878,969-9976,no,yes,300,4.127786468285277,5,3.1904749539355737,3.8177267534889263,0,5.342392306518631,3.919452649959457,100,6.343733969181991,5.363104522140014,3,2.406961109683604,8
-WY,173,878,657-5623,no,yes,200,7.89072941719083,2,7.117871508968773,6.07183513629036,3,5.615316273040906,4.609626011524188,200,5.998754078071383,5.401764846721028,5,4.235044940316233,6
-KS,44,758,908-8927,yes,no,0,0.90418128964202,4,0.4060970201003826,1.192974879467381,1,4.423434598453652,2.2243164046940733,150,4.191805021232422,5.513642735018667,5,0.8728703840898584,9
-VA,61,866,151-5060,yes,no,0,0.7827152705311011,2,5.610346668804327,4.219433291442078,8,0.6624956454902637,3.7829523054593306,400,2.092925524323593,5.632938491130758,7,3.736189037990069,4
-CO,129,677,300-2840,no,no,0,2.3350424200703577,5,3.0670092492155487,6.7734429122488375,6,1.3936086877709504,2.8472268904640328,350,2.069262699037341,4.711906455621764,3,8.672308201951905,2
-KY,41,758,863-5312,yes,yes,600,6.70463220089239,4,4.069194417236799,7.401100327673148,0,6.316830102389632,5.007753562196124,200,4.510994902633588,4.410154047519558,6,7.752380111496653,5
-CO,182,677,692-9766,no,yes,900,2.171867740937711,7,2.7233074323898308,4.42888302405853,5,2.5148655712370545,1.8906531187960491,550,2.1618271917889498,6.393837693544258,9,1.7021938144863833,6
-DC,56,686,508-8280,yes,yes,400,8.047726826778486,0,10.388882742628446,7.2995141897558256,10,2.191391452464869,5.413280439037843,300,6.2355070220674635,4.991020141733299,6,3.4059734249885043,4
-WY,30,878,469-4326,no,no,0,2.406385928148196,5,3.8947130942458337,2.1223908507333187,3,3.7593690759058664,3.7547081057813414,100,6.1122422259967735,6.632972919612645,3,0.9859229857872992,9
-MS,154,778,639-3576,yes,no,0,1.8868234448539467,4,4.81725115376168,4.862327618558611,5,2.9804309360598404,4.545635259807583,150,2.9456495473452757,4.063618993881922,4,6.78150550533399,3
-VT,157,868,487-7567,no,no,0,3.425172674578968,8,3.2863531943340125,7.9025524347835585,0,4.2867430043346815,3.533896689319412,200,5.380473320673269,3.846076536204595,4,4.951751489792867,8
-RI,116,827,520-5994,yes,yes,300,3.046036825102003,6,5.731597463852334,5.471262811012885,9,3.661182480067761,3.737924311618823,300,5.107564613610369,4.960000566677783,3,4.376592116285859,3
-NM,185,787,857-7898,no,yes,300,7.330182040770528,2,5.738537683735307,4.21809147931171,0,6.2891945330336085,2.5674556456890727,100,6.5439060997809255,4.145106231372814,6,3.524373198299022,7
-MD,62,776,658-1617,no,yes,400,9.153399424236513,3,6.923875136881606,4.5796111341991175,1,7.480484081625612,3.4105339886526287,50,5.809629165754711,4.010961471182472,6,5.514202244485285,5
-WA,120,876,754-8355,no,yes,400,4.965813119992205,5,4.7115602877667975,6.016608832790687,4,4.451465737415248,4.452686755998653,250,7.1701411477783825,5.147883564282068,3,2.993384894453916,7
-RI,50,827,805-2107,no,yes,700,1.6492995007374702,6,2.1568360443565457,5.4987124189277266,0,3.5761061998549577,1.8744499619745056,400,4.020109856223967,4.828447877670847,6,3.630040521608111,6
-SC,90,836,934-5250,yes,yes,600,3.8115647522550096,3,1.779037598825969,2.568424408346247,0,6.638292810815407,6.415013508853178,100,3.9441856018669372,4.806391282497135,3,6.851721324474197,5
-MN,4,777,560-7296,yes,no,0,5.841497728057353,4,6.2692480516110685,4.665357459936831,4,5.494527127707597,3.1152969189860213,200,7.3774953530924865,3.5873777554208064,2,2.2588992535504695,8
-OH,129,797,438-5584,no,yes,400,5.08068211595428,5,5.4693488275009665,6.664256453086952,7,2.4574859575496752,7.086156148803303,200,4.629344489989344,4.3067740213164205,6,3.880052718848869,5
-NH,126,787,712-5594,yes,no,0,5.58061854287424,2,4.634053569908509,6.1726523661784505,0,5.779075266223588,3.5848283298249024,250,5.662828740122434,5.292981944731441,4,5.2113624106966965,7
-ID,172,736,334-9728,no,no,0,2.3431444377660364,2,0.7752221799891581,1.502201652156165,0,3.900453610915232,3.3041084788708748,100,3.5432867836818063,5.919033020615144,5,1.5463304756098648,7
-DE,117,686,559-8227,yes,yes,900,0.12561927382322313,1,1.306066255196094,2.136627700210636,2,4.40007116859666,2.498850368302058,300,3.2623412231793525,4.708640375242523,7,3.433167481659469,7
-OH,143,797,693-1245,yes,no,0,1.5867541364637692,2,3.764021450194644,3.2346097448714093,4,1.6454305420324151,3.6148663782602535,300,1.234785641018768,7.442967237886751,7,4.814526332682243,4
-CO,186,677,538-8594,yes,yes,400,2.1689582318408953,7,0.3495257152479354,1.0855717448669964,5,4.631226947691002,3.8443370066428937,250,3.0387424564595733,5.835361642896418,5,1.0342288782238578,5
-MN,191,777,244-7366,yes,no,0,5.6338624768144445,6,6.71163151971808,10.38359683620128,3,5.059206541071252,3.0717266790789024,400,4.090500207037009,6.244332561977894,5,7.844148006830689,5
-VA,170,866,129-2853,yes,yes,200,1.1425122766039175,4,4.104603152511029,5.960901221392782,6,2.2704949656317215,4.580972015626532,200,4.7565160203127475,5.416918680661462,1,6.573041681801566,4
-ND,53,786,668-7832,no,no,0,4.931879439410861,6,5.890534420531045,6.225610520579634,5,5.770199101105241,3.981538353354908,350,4.203045716247815,5.398768993751816,5,6.126344520202762,5
-MA,4,776,160-5286,yes,no,0,0.3153024609717265,1,2.1570603487431583,1.6948033240485976,0,3.0628090984201153,2.9446187189084685,150,3.3771167812142826,4.9883037435474105,6,2.81229609720623,6
-IL,108,737,974-7566,no,yes,300,3.4776078450714314,3,4.795113356784588,3.7808008700319786,6,3.6913212145329006,5.534854815381843,200,4.883765530416058,2.9826581281496147,4,3.8475762241057048,4
-MI,159,777,735-9394,no,no,0,2.08328935601441,3,3.3224770575007327,4.0327421818433,1,3.000973161671067,2.9403489192142276,150,6.197289403233883,6.076201459766533,4,0.8421729180888846,9
-GA,172,716,196-1053,no,no,0,7.530039769224668,5,6.609696648264372,4.014657499125756,2,7.030698332001616,3.1200124670077516,50,5.9046599266914495,7.155992419631112,4,4.5327950547164315,6
-LA,55,766,600-3035,no,no,0,6.977650355044577,4,6.592167534234075,8.197499095121021,2,5.4324743801004525,2.0189356014450617,250,7.102704229079219,4.418002827738455,5,2.7981805296051707,8
-AL,117,657,619-4236,no,yes,400,11.923408543560624,6,8.114828065274793,7.704259153284035,3,7.2172944600862445,3.3599515005459093,100,7.171145357421468,3.3234347836730747,9,3.7859808125632255,4
-ID,63,736,277-3840,no,yes,300,4.146980771471704,1,4.580966215793461,4.945070154976708,1,4.240217859649136,4.602654055074764,250,5.261556469056061,6.595450174520113,4,3.7967953969979567,7
-OR,62,798,948-1134,no,yes,400,8.787822114715604,5,6.268606774286585,5.467726322965238,4,6.191420006686012,6.016216522971599,100,6.109337535828368,4.751647786668491,5,4.669017172024715,5
-MI,150,777,263-8575,yes,yes,200,11.576985201625805,5,9.202818758242751,10.590615023286915,5,6.364783410446732,3.5559700613467538,250,6.317045065748374,3.6641024572992777,8,5.650308610383803,4
-MN,70,777,149-2915,no,yes,300,10.993342496384967,4,6.8588910930473626,7.959892862796483,1,7.718456963215258,3.227741136586392,200,6.720790686902382,8.131051784615204,8,5.211839508255906,4
-DC,103,686,470-2396,no,yes,200,7.970234052252718,2,6.656594727150361,6.4807810207954715,1,7.303683939196472,3.5408280062177404,200,5.996784438057031,5.195574640928818,3,6.369638115885087,6
-MT,34,778,405-1019,no,no,0,7.7083377655342415,1,7.850446393261838,6.959022979941524,1,5.333915878277968,1.0694628906768702,250,7.9013444499220995,6.311006383004215,5,0.6930760045987645,9
-MO,153,777,310-7226,yes,no,0,8.189337879173515,2,7.174453285645686,6.8014056718273554,1,5.320172694950501,2.442313793195704,200,6.649386586927466,4.29232236380189,7,2.8786648428185044,6
-OK,103,797,529-3888,yes,yes,400,0.8890914852952161,2,5.651025050007789,7.9983819681088475,6,0.3739675789162984,3.9165267152578216,300,1.4281916277203592,4.916342129335635,5,8.85367526712977,3
-RI,86,827,594-4759,no,no,0,3.02501417173654,5,3.3034364329788666,4.567573644483544,3,3.3622937015906924,5.0997763268869125,200,5.302011882131636,5.836672712744782,5,2.7601586273160765,6
-ID,27,736,762-2032,yes,yes,600,2.565035600985308,2,5.412969187708787,3.0371067991228347,3,4.946775872057391,4.238618666401682,200,3.3562784022872867,4.983898021152272,1,7.807860515922692,6
-OR,188,798,937-6783,yes,yes,300,7.037231550056473,4,4.291351193080625,3.755256150245516,2,6.7265964915739085,5.787871453182516,150,6.8964462515233445,4.8333990800458295,4,1.971163205816313,8
-MO,57,777,486-8240,yes,yes,300,6.301164237918195,4,6.594180363357411,7.766491758054073,4,3.810375485897857,4.101672808728283,250,5.835974062091503,5.260729643946681,6,3.153349407125256,6
-DE,56,686,676-3234,no,yes,200,6.925586354283794,4,5.54965053727425,5.936172872193942,3,4.425124899143677,3.483375877335201,250,8.466501277380114,6.648886706379009,6,0.29331110482354195,8
-UT,187,858,397-2346,no,no,0,2.677210075252264,4,4.846038023550559,5.579199759212012,1,3.886212690610311,2.2429450000707964,250,4.312730298671425,6.374491867446513,6,3.552547649887124,7
-OR,49,798,920-1876,no,yes,300,10.741100691865348,2,6.536678044917871,7.765520207350731,1,8.383948714111714,2.9391043467526954,200,6.9990956070123795,7.221846009356962,6,6.182045945546513,5
-SC,35,836,215-1363,yes,no,0,3.9326962809471167,4,5.5515379569262,6.293803584051488,5,3.4129294240852084,2.900464141275462,150,6.046926158157687,6.564485971249485,3,4.9430556122049305,5
-MS,13,778,428-7123,yes,no,0,4.128882210021871,5,5.5869878659752095,5.937383701614001,8,4.867645704210358,6.11182611882005,300,3.0587758600860413,4.553762384110071,3,9.154122434915744,1
-TN,52,847,530-1854,yes,yes,700,5.06418127267658,1,4.955692017009,6.228658006757917,3,3.9604887735545247,8.129494821258387,300,3.5066367704351604,5.114729776833212,5,7.272434119202884,5
-IA,8,736,476-9463,no,yes,700,1.948834093260324,1,2.6722785227890817,4.21078848720534,0,3.6715268728123367,4.622427787778307,250,4.01105313406161,3.991990527593957,6,4.240426162922809,8
-CO,42,677,999-9817,no,no,0,1.6062499945355908,4,3.9562576992768737,6.440016687825253,7,0.5320087645976983,2.3978944529448487,300,3.6188378607738287,5.1824380293660575,3,5.856341904457028,3
-NV,26,788,276-4771,no,yes,1000,6.143658979362915,1,4.07714269681611,1.4198646835538304,0,6.588588401600517,5.026767737443889,300,4.506581564922142,5.524817342003617,11,0.8735610180481066,7
-IN,37,737,824-7354,no,no,0,4.989460936693054,3,5.541581510215217,6.14527258397315,2,4.163379319759785,3.237162906461416,300,5.624596441263637,3.8471397352651038,6,3.4687948425383834,6
-OK,106,797,744-9676,yes,no,0,1.968927836395041,5,1.4725162835334125,4.261306988121953,1,5.009665558648919,2.421793612789178,200,5.747786588586143,5.100687054277968,5,1.3392968010593709,10
-CT,82,678,788-7992,no,yes,700,2.331272605740953,7,2.6682018091029467,4.491012696475102,3,3.1231610499626066,5.62348099322925,150,4.623398999735434,5.325664633630066,5,3.5466154409593087,7
-VT,76,868,451-1867,yes,yes,300,5.62520375628216,5,6.669215987289574,6.457314064133352,3,5.061194487968288,2.6783119795096586,200,5.8535128433751575,5.883827901978622,4,3.6727762449858554,8
-OH,182,797,437-6187,yes,no,0,1.168213231825724,3,4.957586074647099,5.843863988652619,5,2.4198978890605787,3.93286722071432,350,2.26405158756507,5.9918933534262875,7,5.7009630264526985,4
-CA,65,676,772-8367,no,no,0,8.97400199094007,3,4.796778762769127,7.242472260760517,3,8.441741274744832,2.3022385639700715,150,7.305281191026257,4.850939163705619,4,6.395591091890192,6
-NH,158,787,591-6659,no,yes,600,4.8176533414203515,2,3.293103736124888,1.2861987007068247,3,5.98075588326294,7.192807620311227,250,3.912555662668794,4.982354373625762,8,1.9542996693961392,6
-SC,49,836,313-8888,yes,yes,200,3.3291501221477477,3,5.870461065077566,3.281484964785027,5,3.120715316323208,2.932365366622455,250,6.803441469800383,5.339826395024665,4,1.10702449111432,9
-OK,160,797,724-9031,yes,yes,600,0.5652552710686525,5,2.5346910639388867,0.8856996075980863,4,4.179701317506076,3.6575886082255726,350,3.5410082337283733,4.2514459714997495,8,0.3008724869386912,6
-AL,63,657,192-4280,no,yes,500,0.014247142810832612,3,1.9676852844449664,4.206723169643299,1,3.7167171490228377,4.624040832122881,200,3.0151417615928366,6.246115097711963,2,8.206888229097565,4
-NE,85,786,415-5783,yes,no,0,12.745267192552035,2,7.82652883149551,6.297128950413108,1,8.661946468040984,4.1257426269322615,100,7.5811333124780615,5.3420815953930045,6,5.1850000928770354,4
-MN,197,777,759-4754,yes,yes,500,1.0266669190467033,3,4.510490561722108,3.0209893810024075,9,1.326736389841467,4.765791823966638,400,1.9135255062005212,4.110536293190415,7,3.1123205915607324,3
-NY,155,788,749-1108,no,no,0,0.3126206072338036,3,4.983626674073664,4.8825669998657855,9,0.8296307831809681,4.575000494534764,350,2.67215466870254,4.4249161580417775,6,4.144444076527963,3
-NV,144,788,148-5416,yes,no,0,6.745789522690447,6,7.846703311993908,7.860908801626499,8,5.515965867229715,5.265816543927025,350,3.769904571965036,4.0981467555783055,5,8.530379819344011,2
-KS,142,758,954-5851,yes,yes,700,0.3446248829011074,2,0.13236789042676111,0.2484806953234493,0,4.418131294746583,5.3203999518009475,200,3.2907041777292614,3.779359353485748,6,3.1707765614897885,6
-AZ,149,659,805-8061,no,yes,600,6.61523311235114,5,4.390359744008457,8.33550738790619,1,6.842255479058665,3.222958586607802,200,4.871485160819123,4.089957478559136,5,7.584587255756802,7
-NC,89,786,478-2174,yes,yes,800,4.889667016380352,4,3.186238020723096,3.2655174441016475,0,6.681023885797384,4.8154691443122575,250,5.377208564051205,5.8783509735551736,5,3.973016569787269,7
-VT,125,868,874-1079,yes,no,0,5.451430606217252,2,4.7538919597836085,4.614823365324272,0,4.5356983221755485,2.2004494287388274,100,6.854786900440147,6.369748199949233,6,1.1960506763609144,9
-WA,45,876,316-8282,no,no,0,5.3139240098494085,1,7.180774349916612,5.700667272963357,3,3.342786672952053,2.110469339876768,300,6.730987123653443,4.657442806722037,6,0.6199091473965073,8
-MT,43,778,935-6974,no,yes,700,1.0945263756436,5,3.593115294119143,3.4085820355612104,2,4.709649100938021,2.7101706662185605,300,2.7800374600572813,3.0716129758221475,6,3.9957398617822366,6
-SD,77,836,768-9810,no,no,0,7.6689262676951016,1,4.6598480708998204,3.816971340574192,0,6.449013052487827,5.917203017886688,250,5.80251903430855,5.0962616356468935,8,1.7939888882422523,8
-NY,107,788,886-3121,yes,yes,200,10.760158267413383,5,6.240521957435193,8.088537384190442,0,7.84337115685969,3.5028108158448434,150,6.6383695093012784,5.562985770524198,7,5.138765212064853,4
-TN,187,847,973-2118,no,yes,400,4.442631877024946,4,7.217350648332638,5.925026612794018,8,2.5837141578726874,4.705592514356772,300,4.834636793994326,4.5373635701784485,6,3.110322602664974,5
-MA,142,776,767-7609,no,yes,0,6.8239545695522095,5,7.219705279217602,4.416190139225511,5,4.68282856333159,2.6686557540248184,150,7.601974151318243,2.2279503669012515,5,1.0454128435939154,8
-OH,80,797,948-7170,yes,yes,600,8.094781454605076,4,5.226543024190316,5.268670214873822,0,7.383754537904805,2.6517094380664186,150,6.447510341789934,4.71698829706455,6,4.808754824946417,6
-ID,134,736,501-3062,no,no,0,2.25008183719167,5,2.189558640399092,4.689799627053704,0,2.966277658087769,3.7811210601129694,150,6.583587610258986,5.2879580039229035,5,0.7095396557683182,9
-NJ,194,787,608-2267,no,yes,300,9.231689832521447,2,8.806438914995955,7.080195642540509,5,5.513583354072219,4.913181925539976,200,4.083394302642603,4.055834303208009,8,7.0289035850678,2
-MN,67,777,330-4683,no,no,0,2.6003545927847673,3,3.714967006235856,3.1544362961510517,4,4.497988539093797,5.536101355433128,300,3.956641332935052,2.983900696275968,5,4.797491789756193,5
-NM,12,787,274-8104,yes,no,0,1.4861789299912775,3,3.222006735195289,2.474986847245121,4,0.28108339483797984,2.889185886167717,300,7.518478050647805,6.2915609588997,4,5.5109168154514565,13
-NC,24,786,904-9846,no,yes,300,5.177001129195058,4,4.219602945468968,5.834482881690326,1,5.288510605550119,0.7406104408199603,200,8.204937615797462,5.246201027681591,5,0.8591279598323922,11
-ID,142,736,907-9693,yes,yes,400,9.333226601903327,6,7.023040659711239,5.6470778853726395,4,6.897553344708491,3.7834664199019055,100,6.075749352752683,3.383362210659765,7,4.537363556285241,4
-KY,178,758,568-3398,yes,no,0,6.289122822157898,1,4.7638344720034365,4.265903422405934,0,4.830569053107789,3.8715834846548,150,7.585242610735878,2.9012194713552963,4,1.499554375287127,8
-KY,16,758,983-2717,no,no,0,0.37608619462080384,4,1.9676960335698728,3.6066508020364814,2,3.825558273525973,4.398314701508776,150,4.411016995887912,5.531913122017777,1,5.394211538987403,6
-NJ,160,787,776-8025,no,yes,400,3.207017318519365,4,3.777711433844552,4.410940065320147,2,4.348151988575388,3.105025955819602,250,6.006053858069245,5.026062415435819,5,1.5414713503074706,7
-PA,7,806,827-5199,yes,no,0,14.122838213419351,3,9.111601254609491,6.354619893483325,1,9.144516880842646,3.2004256230738424,50,7.613920768832427,6.0288391218655,8,5.1558276483913135,4
-KY,146,758,483-9348,no,yes,400,5.731993118853834,3,5.1280412820618375,4.479640506282699,4,4.6639724458119645,5.85359787762209,150,5.238525777128189,5.010064124992488,5,4.815955925767333,4
-WI,72,877,489-5330,yes,no,0,2.8557160864553994,3,3.3784013662051566,1.4065319140482788,8,1.3936831617646093,4.572869499285538,400,0.2933600443259472,4.20425166479806,8,3.776946877430893,3
-NE,31,786,203-7600,yes,no,0,0.6688463127733177,4,1.6275823628891213,4.96818178155474,0,4.3007023498980494,3.3151521456408948,150,4.227972008013003,5.8120744795964026,2,7.225060221305701,5
-MN,121,777,431-7065,no,yes,900,0.3976188243875925,2,1.4791544887871724,2.121823654691478,1,4.01252915097899,1.384622924418328,350,4.240447551530798,5.5867569672141615,7,1.410917440472586,8
-OR,111,798,689-4777,no,yes,600,7.04228719873778,3,5.302786389443192,4.917024995806101,1,6.5438479262853555,6.031281671086765,250,4.660429402905494,4.802704990852146,6,4.1924376511233135,7
-HI,32,727,727-4263,no,yes,800,4.458983145462959,3,3.300888151956775,2.8335009880305715,0,6.235059553496129,4.133354457780941,250,4.830213470127154,4.452567372645543,7,3.270850494310648,7
-LA,168,766,699-4935,yes,no,0,4.157368350579108,5,7.096954445369063,5.553143543630814,8,2.8507232045821094,3.6175332043860484,300,5.606655856717413,1.7041802057058826,5,1.8038182171235617,6
-OH,148,797,198-3019,no,no,0,3.667830944031637,2,3.6540672865188526,4.359446791893599,1,4.860830512558814,4.807713540926253,200,4.527092078645012,5.4896254899345704,4,5.696644214575036,6
-SD,146,836,124-3218,no,yes,900,6.6914080268797695,1,5.402020351077198,2.117607026449262,2,6.3277993672574855,5.855921428731133,350,5.498401220254153,5.245148197044797,8,1.4504727812505482,7
-VA,106,866,868-2694,yes,no,0,0.7479064192492535,4,2.0141875647091814,3.8417591653019065,4,3.0907634041519816,5.384296457600943,300,2.010470939274124,4.800110803279809,4,6.074794333093458,4
-ID,59,736,167-3065,yes,no,0,12.929579141629505,5,5.175234993237701,6.265177577534544,1,10.195897592339984,5.084063678581338,0,6.396298892292093,4.250128719945295,7,7.733537090754185,3
-WA,60,876,234-8220,no,no,0,4.140781368936016,5,1.5445936218419645,5.876048915947719,2,0.7045958279976912,1.2214783828296452,400,2.341868388961198,3.9788836261896257,6,3.437459570290541,6
-AK,87,657,518-9814,yes,no,0,4.432590466015327,5,0.4270531298410623,1.0155103955426077,1,2.936873908591907,1.2694036700186344,150,2.540326089738044,6.374027652293518,6,0.024786638449316282,7
-TX,180,848,891-9377,yes,yes,700,2.935243219286272,5,3.8892623771485217,5.052858457251225,3,4.799537405035899,5.4739905371930595,250,2.5016955812556683,6.1724731582219095,6,6.918956323110003,5
-AR,137,658,573-3763,no,yes,100,10.340911993857887,5,7.416160379187344,7.716276628920164,3,6.5133065571044835,2.632981897016559,200,8.508275652835096,5.790073565287898,7,1.2089950168572177,7
-NV,39,788,763-3043,yes,yes,700,3.558794016046836,1,5.1149467211803525,2.9626493586295704,3,3.97485476914512,5.1324250562317975,250,3.706538193224186,5.021697221340407,6,4.4998949251560685,5
-SC,43,836,513-6998,yes,no,0,7.962283278666126,4,6.110233703043551,4.614327488733196,4,6.228028761370629,5.547204470286771,150,6.2397509055827145,5.2266628494440965,4,4.47108533319042,5
-MI,19,777,657-6401,no,yes,500,1.8414778229426785,4,4.429557321609282,4.067413658169066,1,3.5571060350640358,0.6816104371431102,200,5.535710163818003,6.089773009402634,6,1.0946864885026444,8
-ME,164,776,751-8388,no,yes,300,2.5324420812927557,5,5.16156421078375,5.208486005734678,7,3.3772860767835784,4.474272675644941,250,4.437561452268333,2.992673338941393,3,5.084701701878653,4
-AZ,94,659,512-4067,yes,no,0,2.558506482643263,7,1.6711452058614211,5.5530329454266205,0,3.4401752609699225,3.9478119265079834,150,5.5657713715374495,5.964463519638415,6,2.6832232991531373,7
-WV,158,878,468-7406,yes,yes,700,4.113355829857212,4,2.2770545510617106,2.8371187807571467,0,6.605749464977628,5.399770665223272,50,3.867794606856236,4.553172062285339,3,8.004790989258183,4
-WI,117,877,531-3313,no,yes,500,2.8001445599993176,3,5.391799812559795,5.952030976454424,4,2.6224637132819084,5.123025589324361,250,4.343376446208444,3.031179313046957,4,5.0105579269532265,7
-LA,53,766,646-1555,no,no,0,6.64519448743929,3,3.795342442735076,6.5486484785795565,2,6.797799592026973,2.7987205967444093,150,6.5838804365229056,4.998570178403961,4,5.041388867965344,7
-MS,169,778,453-8030,yes,no,0,5.811237247030059,4,5.11904445765091,5.660019507419735,2,5.906776785743622,5.270007572486482,450,4.615296911074784,3.364166169590745,8,2.260283241629036,8
-FL,156,707,819-1337,no,no,0,8.234455233312227,4,4.876066227547188,7.746670756583619,1,7.601549447848332,4.747044850521039,350,5.8841677447847545,6.576972512901101,6,6.220471587906146,7
-MD,133,776,856-7550,yes,yes,400,8.73885465699682,4,7.962015205148183,7.228886723203838,5,5.35125632667845,4.655415820612222,200,6.506073527596228,5.445882301685972,4,5.437443975636021,5
-OR,131,798,321-9470,no,no,0,2.1446714382768963,2,3.4234571903356072,3.241615508830032,7,1.1201407966570711,4.733101399743346,250,2.104613050691457,6.198122683869465,3,6.982696258922207,2
-MO,154,777,882-7053,yes,yes,800,5.432151794507329,2,2.578994394344976,3.4480328954319437,3,6.9489026473070945,4.2361775366453704,250,5.673957305262082,4.773254871317162,6,3.2141268236729057,8
-VA,51,866,348-6865,yes,yes,200,12.290332266564848,5,8.55515013636657,6.307859063202307,6,8.14136243808097,5.745139713363987,150,6.55967090119888,4.575728214284382,6,5.579056423597812,2
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-IA,133,736,534-8526,no,yes,700,2.9392236374177765,5,5.047519491722325,8.238926548977195,5,4.001592413396988,5.5637308338665425,300,1.5646145618695422,4.553669562833706,5,10.860356406700014,2
-GA,159,716,741-1798,yes,no,0,3.4090341657870447,5,3.153704298721693,4.710098926314757,1,3.4352712039257436,3.9888784633669294,150,5.752912964038615,4.875464698940227,7,1.7495721279103242,7
-NJ,122,787,133-8799,no,yes,500,0.9428227631701712,3,3.975723922446568,6.2327188161013405,4,2.1460965572744595,2.846902879707254,400,3.871333628269399,4.062977199888296,7,3.4595189249911837,5
-VA,159,866,563-2263,yes,yes,500,8.359205726691549,1,6.1164389665197785,5.1244749829051,0,5.824441561062617,5.673692954910558,200,6.019559292545128,5.982446387337755,7,2.524683321086958,9
-VT,127,868,308-6898,no,no,0,9.62764563680803,2,8.866395259618361,5.15686738926857,2,6.781864004889088,1.4979768237796156,150,7.4905754903155435,4.37570527860346,6,2.474863439081316,7
-MN,124,777,700-2845,no,no,0,2.322310246221602,3,6.714713747981541,6.171197586561068,4,2.5039770692508347,2.0297561905706933,350,4.934433985495606,5.443081813258486,4,2.415441445534282,9
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-GA,67,716,210-3378,yes,no,0,9.160468443350677,3,8.790255576107802,5.668370353138284,6,5.750650887298218,5.156926282115425,150,4.3665340560253,2.9638260573389066,7,7.413850527786797,2
-SC,153,836,354-7384,yes,yes,400,0.4744503969852518,1,7.583249813997575,6.809537115460151,9,1.1473233200173336,3.2148269282032853,300,1.5239712582661564,5.411153770675986,7,6.128525818305227,3
-WI,48,877,728-6835,no,yes,200,10.709770680751774,3,8.337086931689775,9.367716852765383,3,6.144448220548509,3.7721559715206303,250,6.37287390426152,5.536753642022406,8,4.249930404549429,5
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-AK,90,657,796-6987,yes,yes,500,3.980602660523496,5,4.484178217152381,7.269664894044375,3,2.8482738323980668,4.941915157083584,200,5.126349159648341,4.541210694332763,6,3.894219411422904,7
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-ID,89,736,160-7718,no,yes,0,7.558074205708896,1,6.545320914055259,5.681158944273377,0,6.9559110863789595,1.1392855015327847,200,7.45244914626063,1.9658989828393705,4,2.6849739925776945,8
-MT,93,778,219-2637,no,yes,500,6.6865999930972455,6,2.9134001587324634,3.1678068823325627,1,5.741655902032679,5.079306826284423,0,6.502977357489197,4.2093376409420165,8,1.907806435185166,5
-OH,76,797,376-8601,yes,yes,700,2.1875098931224346,5,0.6088583927529267,0.04557602581415221,0,6.920006270009951,4.224306376704783,250,6.017782210517577,2.7430659868814065,3,1.5183206659906292,7
-DC,74,686,817-6135,yes,no,0,8.305723367138338,2,8.626306890466214,7.0562991165163185,3,6.549687560448247,2.228853469895432,300,5.55932197650432,4.054916821362895,5,5.189734807385746,5
-RI,54,827,772-8921,yes,no,0,5.157019959601642,3,7.612684255389695,5.537157147641035,5,3.452210859346435,3.1716196752020007,200,5.2143772246686035,4.766763811650946,5,2.787212230950316,7
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-NV,123,788,896-4431,yes,yes,500,6.141630192277132,3,4.596170396591466,3.8933603309727234,1,4.907469303209414,3.773884296870064,100,6.815063752175383,5.954871588622942,6,1.5923917030463586,7
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-VA,37,866,492-5665,yes,no,0,3.5985535106249302,5,2.519743613566604,5.040595844281636,4,1.1941462444088071,0.43815885099339613,350,2.3416254036536497,3.865753096520548,6,4.400283161080238,4
-TX,200,848,673-8071,yes,yes,200,4.810864891418029,3,4.705569397361637,5.637295759486121,1,3.4478250343167773,3.0852185955948817,200,6.867857925616169,4.921153198972512,6,0.2804851266506452,8
-SD,143,836,128-4701,yes,yes,400,6.816291482875857,5,6.926661053437952,5.844119412658423,5,4.9458284318080326,5.534016052852538,150,5.0135510072585365,3.8240919163464895,4,5.484698746452926,5
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-MD,92,776,250-8852,yes,yes,400,8.57172165154155,4,4.633396638754441,7.853096077363831,0,6.867994004924943,5.669361832473407,100,4.678652957217486,6.057799899034017,7,7.999630450868568,3
-MN,1,777,906-3144,yes,yes,700,7.00236918837162,4,3.9487399431491017,5.280740812911651,0,7.417006096719361,5.2758643608788605,250,5.906622373850085,4.458841326426953,4,5.685327415220313,6
-UT,200,858,799-3425,no,no,0,1.4554375960574548,2,3.6154596784802258,3.8730848851413295,6,2.727040396995433,6.92836385093022,150,2.6293916043360417,6.471851429845604,4,6.313766542122211,3
-KS,104,758,853-2450,yes,yes,200,0.11740686319151995,3,3.34581970625654,0.4963759250111544,7,2.832255024132795,3.8474369375458415,200,4.9880670822779045,6.6287082562362265,3,2.285397447562877,4
-RI,200,827,664-9788,yes,no,0,3.921063884080022,6,4.103139971430567,5.933823012688213,5,5.334499336746164,4.838593153649762,400,3.970650002300488,5.083789661417102,6,5.3542343300903585,3
-WV,197,878,747-6444,no,no,0,6.2308892345889415,6,6.306489603849218,4.6954222766517315,4,4.861107199349519,4.266959766420346,100,5.66520053972249,5.927521209999223,5,3.2790956862632767,6
-TX,108,848,262-9042,yes,yes,500,3.617502120782415,3,6.059484521978661,6.221309476196304,6,3.253329193683673,4.693441592995463,350,3.919883902242753,4.779694803144256,6,4.70395890150589,5
-AZ,49,659,977-4766,no,yes,400,5.321449055426725,6,7.861010710123846,7.446141462063767,9,3.8859596695779186,4.864221970453514,350,3.8060823240776447,4.57127046391518,6,4.079341644242652,5
-HI,119,727,282-4501,yes,yes,300,11.222733173038659,4,7.168781261494679,8.790412518408457,2,8.228240754534317,5.640198021607943,200,4.467510714875963,2.838309022078189,7,9.923705828870874,1
-DC,150,686,462-4713,no,no,0,10.070836263679432,1,10.969973385098081,6.278714445332447,7,5.6039988975520245,3.385877769558009,250,6.2486794312579255,5.844368154117098,6,3.2782652241391514,5
-ID,34,736,328-9239,no,no,0,3.79224718211522,3,1.6119768298608328,1.2314203313515169,3,7.741673907566817,3.69468147081852,150,4.5636828751293805,3.971925735902713,6,3.723404852117261,8
-IL,166,737,396-4102,no,no,0,7.48215597068004,4,4.613881225837405,5.1542386053102245,1,6.889449660685298,6.628917857948787,250,6.0061056114612015,5.666220966389988,4,4.113819142046303,8
-OH,110,797,705-3827,yes,no,0,5.342323924603973,3,2.8634049274319358,5.322082807517677,0,5.183556610648441,5.355396696724165,150,5.79497381950116,4.610286676488153,5,4.216452409426619,6
-TN,111,847,485-5144,yes,no,0,0.2684289841639611,4,3.336799583145652,3.682722063637873,7,2.7506230978758985,5.2658153808947725,400,2.1601786949545203,7.180411572480869,6,3.1977917634089352,4
-NM,200,787,230-7013,yes,yes,700,10.539842735564552,2,4.596532004594408,2.933294184100948,2,9.125621792990554,6.130311503019851,150,6.450261321718902,4.615684889141763,8,2.467959536765865,8
-DE,185,686,731-7596,no,yes,500,7.3957486542242945,3,3.9744966309328618,5.094684313807546,0,5.8239797263243,4.383849050067958,150,6.77720184940771,5.992816978229492,7,3.0292792853038053,5
-OH,54,797,979-9347,yes,yes,100,11.801996664990833,1,8.886521776277887,6.21621610782784,2,7.874111506054274,4.367487413840801,100,5.966646345767026,4.499198365091984,6,6.918048349889182,3
-LA,169,766,495-2478,yes,yes,300,3.6117438402621738,5,4.043823930920307,6.834634267160538,2,4.270049568095153,2.838888130029093,200,5.685293704923876,6.2432889372469065,4,4.683518709150164,6
-WY,162,878,329-7179,no,yes,500,3.4643117855529733,2,3.8767397778870185,6.068858381223543,0,4.744833571240703,3.4540353293752437,300,5.1933763924622225,4.302254354388332,4,5.654572437605878,6
-UT,60,858,918-2510,yes,no,0,2.040158905144376,1,1.3170020475103046,0.6479954514827178,3,4.712556943306164,6.3213075965183245,100,3.5773753696983173,5.59258565959909,5,5.198563532206932,7
-MD,23,776,705-7110,no,no,0,1.11175559365614,4,2.1868278296795274,5.45341434668825,0,1.8522793427075792,2.049457456774805,300,5.586458568039327,5.794998984786999,3,1.4560072642493038,11
-ID,124,736,732-3033,no,no,0,8.96336462625273,5,5.5768495040464,6.052599729475236,0,8.141881273663692,4.026546861190493,300,6.1520911672232925,4.523695369076283,7,3.0610440344219287,9
-UT,110,858,437-9157,no,no,0,4.228113583903325,5,4.878661636420975,3.5325448823900003,4,5.1679061763764365,5.304262084606063,350,3.139952882117204,3.3522456628476087,9,1.7442519912504384,6
-MI,174,777,337-2679,yes,yes,400,10.694622038738384,6,6.199671301439949,6.663881925715371,3,8.174896230818835,6.2280990479067135,100,5.972871265819287,6.413155648294015,5,8.45092518086867,2
-MA,179,776,597-6395,no,no,0,1.3429431484196854,4,3.9458185988495855,3.8091434724557,7,0.2711812367303725,4.6730455396006825,300,4.142102261459489,7.527685902343317,5,0.5696581968137684,8
-ND,84,786,338-2526,yes,no,0,6.818546685102749,5,6.626064882340588,5.967682709582884,5,4.805021157197969,4.92495740998028,150,6.250253057797722,5.122223601192677,4,4.040284499405745,7
-HI,91,727,372-3856,no,yes,500,11.370720828387675,1,6.921442270824993,7.801939526258888,0,8.461942660826388,4.4560985227408505,200,5.340007380781062,7.297788687858166,7,9.016769429233523,2
-RI,195,827,854-6503,yes,no,0,0.4589339215406092,6,0.8536385140959926,1.7843068971648017,2,4.4780503593053576,3.513835793251003,100,4.681275079403743,3.73945799922583,1,3.3963079044388547,6
-AZ,112,659,711-3017,no,no,0,7.234754972949139,2,6.601624184267969,2.90610421450499,3,6.187516896693937,5.412194298367387,200,4.319870207932539,4.743996992534932,7,4.640291260602998,5
-MN,50,777,562-9980,yes,yes,400,6.790676815208526,4,4.957917472141535,4.703683460788024,0,6.897782054684188,2.5693753207003125,100,6.3149306341813025,5.715515666115928,5,3.772149794210668,7
-OK,184,797,639-9880,no,no,0,9.05051356335846,0,8.132062069136712,4.92128736124242,3,5.797704266463139,7.143560946856192,250,4.334440225149049,5.744335556517643,7,6.152780787921151,6
-MO,42,777,820-8724,no,yes,400,6.723910078709278,3,4.923073126446672,4.5276294951895215,3,5.687059123696871,6.586226134973635,150,5.411056937224539,3.945221844657437,4,5.401541001558707,5
-MA,35,776,349-8782,yes,no,0,5.1011862854135686,5,4.382757211459134,5.362694548938903,0,5.96934293873692,1.3816047419093265,350,6.1059129054102925,3.6578269463560487,8,1.74438428002181,7
-CA,86,676,537-9015,no,no,0,8.897695407156322,5,4.0255267800750065,5.8289100284063355,0,7.800622085133137,4.524988578381572,100,6.3495299661306035,3.530292046053836,6,5.7098256943893775,4
-ME,90,776,481-3489,no,no,0,2.2641627675777434,5,4.0860117214434615,5.7307447977920125,3,4.006245406118152,2.462963156530341,400,4.506542397227255,6.250392883208871,7,2.0963038781824843,7
-VT,55,868,158-3959,yes,yes,300,6.151425182052256,3,4.664235954320978,5.70235179122896,0,5.596760510492903,2.5110139473147304,200,6.957305829433548,5.974085905663105,5,1.8464613382760704,8
-DC,191,686,817-4256,yes,no,0,8.110943495518251,3,7.179512963038099,6.7673689464460365,3,6.148042058162879,3.7910818044616192,200,6.264634912410386,4.456067466441971,4,5.283903780045772,6
-OH,11,797,154-3232,yes,yes,100,11.532148258262369,3,9.957222601859236,5.351344171900541,6,6.49164028199484,3.168596379284672,150,7.2909897575422065,5.114440935346299,8,1.8311668757608917,4
-SD,143,836,842-9925,yes,yes,800,4.8194555073213134,4,2.9265449263078915,5.6431351275843795,0,5.062193417182819,5.2635845172710525,200,4.731013335891446,6.153167300688394,6,6.546635334874224,5
-NJ,51,787,872-3831,yes,no,0,0.368847807676608,2,5.025405370727219,4.694929453909995,5,1.327554591378212,2.4005072125540687,200,2.3445812347860984,4.001543768759442,6,6.081105442896282,3
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-WV,32,878,742-5783,no,yes,400,7.902175173918209,4,6.36148245351829,2.8111907798829137,5,6.261601513823639,4.996498095766689,100,6.539609108322468,6.210908069199926,5,3.3830220155762487,5
-SC,103,836,907-9643,no,yes,700,1.7652080509866799,4,3.7743321025466163,3.463509101816564,2,4.126602376326936,2.939220289423811,350,4.576597312544038,4.896745875637119,6,1.4620900971994293,8
-MO,13,777,488-5806,yes,no,0,1.849043768322205,6,2.1880992261443915,4.825048863020975,6,2.423738374410493,2.8208702662375247,350,4.032601497953864,5.1956053445525905,2,4.812073008385539,4
-SC,4,836,578-1033,yes,no,0,1.1266742635233244,2,2.087501103663409,4.1094110363819585,1,2.771269609153168,3.0536767931229165,200,2.385806297492368,6.251033916618298,4,7.550386045640043,4
-AR,148,658,235-5172,no,no,0,6.611291437300557,2,6.12570262675306,4.94407082785318,3,5.434825306020248,4.726560352578659,150,4.288158469703067,5.530628747967344,6,6.416932474064934,3
-RI,139,827,952-5575,yes,yes,1000,10.352028111484074,3,5.318570060757936,5.3905052211572295,2,8.82254691588914,6.343039040047983,300,5.3145739727431565,7.847331684049632,9,3.959870797880658,9
-ID,98,736,525-3778,yes,yes,500,0.02475810579265225,3,2.480827875835565,4.565808990422545,1,3.1222749465549757,4.180032775644946,300,2.716423953619352,4.703071095753795,6,3.619672120779553,7
-ND,117,786,713-9441,yes,yes,300,6.596965119137288,3,8.607888483454508,2.575513582020078,8,4.976580979663741,5.7075063805254045,100,4.39857915939612,5.521923868370888,4,4.759775056740619,5
-AZ,79,659,821-8239,yes,no,0,8.121589035436397,2,7.5996942819626385,5.35648780269926,6,4.979127479615823,5.143066213388522,250,6.423667920382084,4.0606659658451845,6,2.7497849321441894,5
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-SD,65,836,686-9789,yes,no,0,5.829695525840032,2,5.7845457199831145,4.45896579420238,3,5.138712845835458,4.4560085919256744,200,5.211346213518368,3.609911996991905,5,4.050360955541063,6
-RI,87,827,173-8828,no,no,0,7.724910459966075,0,6.103734798157375,5.343769207175506,1,6.828867561751663,5.204889259518982,350,3.586141660167627,4.624141672422343,9,6.569704459294216,7
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-CT,182,678,431-7913,no,no,0,12.78574633767812,1,8.689383623113509,8.576049241055227,1,7.868322542379381,4.180986993820967,150,5.273285497759616,7.3031405545447505,9,7.944898145962937,2
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-ID,183,736,336-1827,yes,yes,500,6.037680011544649,2,4.2063441429508295,3.8951642410894514,4,3.532291736563237,6.049770969075067,150,6.339123490923483,5.5799134450771435,8,1.24773503466013,5
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-MI,63,777,139-8402,yes,no,0,4.844053833457877,4,6.016563615750672,5.556238986387003,8,1.7344653828425445,6.904245760191567,200,4.154589561712156,6.260087917719455,9,2.8547692409596603,4
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-OK,147,797,351-7862,yes,no,0,10.410876190439387,5,9.096925649845565,6.121556471532603,8,4.964597224912243,5.716964359653233,150,6.672538977260724,6.3937412385141394,7,2.145400379287901,4
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-ID,196,736,273-2985,yes,yes,300,9.873863335532992,5,6.443172300953113,5.6682519650261725,3,6.570675026607818,5.3475506804945825,50,5.903606661031674,4.6338825560793175,7,4.5906628490787424,4
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-NJ,102,787,433-7057,yes,no,0,3.799602867024885,5,6.768251944432231,11.112419307660025,4,2.9652682912765918,2.0230908152235623,350,4.710811769122354,3.7674647589577943,3,9.25876124011645,4
-PA,4,806,847-4671,no,no,0,7.172012901159193,3,3.3627136425468165,5.106388995220558,1,7.093256100547843,5.2097735377875685,100,4.857697444248794,3.9424836176828695,6,6.81828956376298,4
-GA,76,716,184-3938,yes,no,0,5.432264469374332,3,8.518329728076363,8.149388162584968,7,3.141585636894476,3.414429508353963,350,4.434667496740628,6.952823284107295,6,5.5393086570038035,4
-SD,16,836,222-3843,no,no,0,9.046164464444443,8,3.919946124181962,7.087645874432452,0,7.633716904552123,3.4474349816120298,100,6.7437086462199165,3.813228888231472,7,5.38915536020306,4
-NC,141,786,274-8268,yes,yes,200,12.755638831434872,1,8.643426982549553,6.433100997644621,2,10.010461294822589,4.7864946501652375,200,5.615686037266557,6.018834382851652,5,9.485578153019864,2
-NE,34,786,748-8610,no,no,0,6.778703750053081,6,4.981992430355573,5.807804393340024,2,6.51345547280641,2.6876139535108496,300,7.424242869162457,5.677331697455203,5,3.133791896205018,6
-ME,86,776,855-8576,yes,no,0,1.3735305541210083,3,2.675248191170847,2.579185798514777,2,4.498514476407323,6.275145323152556,250,2.1369408512988817,5.051759848827503,5,5.536880822225755,5
-CA,190,676,953-4406,no,yes,100,15.2995559082939,2,9.842835979716652,7.947565763275019,3,9.807508687786537,5.105230141887897,150,5.790697120658443,6.451969776121265,8,7.999167062838294,1
-VA,27,866,963-1392,no,no,0,0.5052799815618458,6,4.507446850121097,5.806945600467063,7,2.6045737739409964,1.7340047335410644,300,4.63158043005627,4.545258994583228,4,3.2342743713137208,5
-AK,17,657,572-2499,yes,no,0,7.772067689003968,0,5.553350082313882,2.6096102231064635,0,7.936386249834522,5.139341844272497,100,5.242053661199763,4.494064885323105,3,7.277482728870286,4
-DC,19,686,780-3085,yes,yes,700,2.722176822881796,1,3.0405377586563667,1.457652505175859,3,4.7769744237175455,6.296945085890317,250,3.763161217747797,5.7678233328437605,5,4.415369198540112,5
-DE,153,686,853-8076,yes,yes,200,7.267139304571872,3,6.388507502150023,4.872173854356572,4,5.387642929537512,4.7848183044130215,150,5.701535436704468,4.499654557485757,6,3.0246436179387794,6
-MA,112,776,854-6547,no,no,0,15.31898332899965,3,8.704740074870037,6.190194118848193,1,10.841152582301467,4.943202021360853,0,5.468084788033883,4.968629908864718,8,9.589561497040648,0
-MN,6,777,937-5924,no,no,0,5.846556947089861,3,3.422539432078095,3.1164943096670026,1,6.772361884021143,3.941683800753169,50,5.396074793771223,6.1110318754534525,5,5.1809667856546415,6
-WV,155,878,276-6384,no,no,0,6.712009041778468,3,6.4284045739649125,6.26578875031792,1,5.808262207759653,2.91683486940929,150,5.662365852509429,4.525303362586975,5,5.100731089605077,7
-IL,186,737,847-8160,no,no,0,8.084458968831331,2,5.562294956023966,6.8776354975952385,0,7.100766978646548,3.7678126567652974,250,5.893469932051125,4.1336373606332275,6,6.335762030104602,4
-WA,191,876,674-2973,no,yes,200,9.885977044502367,4,7.101308312387295,3.614040169603576,5,7.869463464859175,5.973304192765224,50,6.167978199113903,3.47448199617228,3,5.922691868361719,3
-CA,181,676,287-4195,yes,no,0,3.879027404194712,4,2.017532334209774,1.31243287048959,7,1.3631704101602398,2.5168742211242066,350,1.7606794706486402,5.347872923899394,7,2.1649219704164344,3
-MN,19,777,523-9595,yes,no,0,4.55372323633669,4,4.510277363295386,6.984209079788313,1,4.304308064889628,2.9392415079115164,250,6.1805334341315925,4.126843805992631,5,3.023198674514851,8
-MN,58,777,258-6661,yes,yes,200,8.798614623121999,3,7.017487057588895,4.685483721422775,3,6.8096737160002005,3.625862569735049,150,6.962841655442009,5.8376983703956284,5,2.847771980880802,6
-IL,111,737,108-9349,no,yes,400,3.9654389422694236,4,4.034948201025219,4.8137197032979735,1,4.629847228870012,1.5988074095141631,300,7.653491399702064,4.344859533223321,5,0.5305350541532476,8
-MD,65,776,764-1344,yes,yes,300,12.228231116525214,2,9.814462005316608,7.987063675262747,3,7.507505857656075,3.1920481595958385,200,5.895016129671798,5.227065183148213,8,6.630465741443333,3
-AR,41,658,775-5018,no,no,0,7.483555177477676,3,5.309118770120929,5.8524244837383685,0,5.529196948887041,1.1632535903999242,150,7.2746052797378,3.098624775326667,9,0.6750539498778219,7
-LA,92,766,239-3863,no,no,0,4.950552911801734,3,5.554132783873875,5.172473764264762,1,5.494360493837483,2.5310439296783898,200,5.827836320238443,6.1904430440927545,3,4.519582568300518,7
-IN,19,737,491-3087,yes,no,0,10.44480681661208,4,7.847919001004056,2.2787469225790145,5,8.463652544320112,5.549990708332701,0,5.877711495235318,2.7884407560069753,4,5.952201632199608,3
-WV,81,878,695-5092,no,yes,100,6.083524718837197,3,6.465236999179213,5.7485206202574375,2,4.415621991173451,1.046675859328429,300,8.976875770123906,5.115440944632744,5,2.3619519588884503,10
-UT,64,858,107-3707,no,yes,800,4.072334230286469,2,4.616425119486888,2.95578014126015,3,4.848543518883586,5.1865426295330765,350,3.836010626784147,5.081566801540759,8,2.5390245878341804,6
-NV,178,788,265-6935,yes,yes,500,9.617305072700164,4,6.302860392651203,7.100816186577758,0,8.490798325221679,3.9838461805886975,150,5.4916225411705435,6.149291627122402,4,8.745098049463838,4
-NJ,173,787,164-6972,no,yes,600,0.13244409438717053,4,3.561100951387606,4.419998642170001,3,3.65034708755793,1.7490256859455466,300,3.146999477612001,4.521201117552233,5,5.522630759942295,4
-AL,157,657,730-2882,no,no,0,1.772920607535074,3,0.3684084316183567,1.3785809258619,4,6.715753837248012,2.4652326902391586,300,4.518731253214684,4.446017226007628,7,1.9874526528296,8
-LA,29,766,694-7283,no,no,0,1.0384710827850747,2,3.731306515378893,1.0354255346554435,5,3.27155951232601,5.256496161044772,250,2.8866954932656856,5.534846047552483,6,2.4956304797206013,5
-WA,176,876,946-6560,no,yes,300,9.824691664648585,5,7.82459289774253,7.282209381756798,5,6.263348702243025,4.2755861421085655,200,7.114775581132089,6.083177939913503,5,4.156231593119369,5
-TX,65,848,587-6755,no,no,0,13.315863150554652,3,7.463278888589852,8.758215305222148,3,9.44141375050909,0.17735849728139996,150,8.448738345596581,5.875103141445418,9,3.77205610187334,6
-DC,155,686,852-2193,yes,yes,400,2.5332875681090683,6,4.468071030465468,4.792360655838191,10,0.5242420424505099,2.9502545198342087,450,1.1460931088455142,3.348857826915673,8,3.3337150305625487,2
-IN,68,737,420-6235,yes,yes,600,1.8751839669933377,0,3.685496257100942,1.6977593321391105,3,3.6803626721939784,5.840684208292598,200,3.0828180180292497,5.485167173097461,5,4.490819427289657,5
-TN,97,847,598-6220,yes,yes,700,3.2835462941652254,4,5.24843854085362,2.8271729193841253,5,4.330824352278913,3.2625925599382417,400,3.873764945212837,6.967071392386322,11,1.2223791862039164,7
-CT,78,678,145-9117,yes,no,0,5.0489323849450605,4,4.22403107903164,6.986611010264148,0,4.407136693978986,3.0576133278401465,250,5.967712381699872,4.239488857835257,7,3.2694572494555776,7
-VA,145,866,548-3320,yes,no,0,1.7679625657226268,4,5.070159457487093,3.6195478576262032,5,2.9305345088214465,4.13396504464147,150,3.2161075386960953,5.25109773976245,5,4.988258234680939,5
-SC,150,836,955-1711,no,no,0,1.3306615427520478,2,3.073063184382788,1.2940422443074393,2,4.01418665790036,3.9849343129580963,200,3.724524532897779,5.0665584877135865,6,3.9219492561970717,5
-WY,146,878,921-8943,yes,no,0,4.892757105141464,6,1.9250490623187904,4.821186693749686,0,5.448974725846631,5.771010348106007,50,5.331567639904211,3.9854149296554957,5,4.475686011177226,6
-MN,183,777,603-5257,yes,no,0,4.313317864418031,3,3.217361907771743,5.074122484131869,0,5.226393371970858,3.118522024274863,200,6.339211685445764,4.378315337087427,4,3.584684058345988,7
-OR,9,798,557-1010,no,no,0,5.8624025748192805,1,4.510475047503283,2.77637284794238,0,5.248613189361484,3.314795377675991,150,7.475785197172534,4.844714227835871,5,1.116786759819481,7
-PA,42,806,396-9381,yes,yes,600,1.2870400220472096,2,2.5166242895076567,1.6724883286132657,3,2.515332250318291,3.1695263168427505,400,3.4237500949735646,5.081565332486303,7,0.4489329014004406,7
-UT,22,858,645-3734,yes,yes,200,11.922665841504642,4,5.787098027719593,8.124953155560409,0,8.368403256779622,4.6962777688847765,100,6.784668096398151,4.3036959123652405,8,5.205711468197398,5
-MI,173,777,624-5128,no,no,0,7.860361366837215,4,6.93366837812701,6.64442747602606,3,6.478439566716072,5.352403118462928,200,4.50871491397564,6.247312272264392,5,7.8620753070473794,4
-NH,178,787,668-2998,no,yes,400,3.8334033602326416,6,3.163633643522848,6.597600502772349,2,4.127323380593275,5.185824966938316,200,5.309308094004825,5.2139606138355825,4,4.113810177060048,7
-OH,14,797,951-9593,no,no,0,0.7381618113835301,4,4.2697154614043935,2.7883156792194104,5,2.8046668193206585,3.5322697979609834,50,3.2084069025280737,5.91767045986744,3,5.974954327134185,3
-OR,137,798,572-7681,yes,yes,200,9.190699603663873,3,5.998847981364257,7.358643221250309,0,8.178472311783777,3.782446172463283,200,5.8563389983102265,6.838909687060231,4,7.336898111512854,5
-OR,182,798,583-2456,no,no,0,9.917893052250866,3,6.834248477997264,5.170996300060423,1,7.903392285108545,3.0586782150063767,100,7.364048696599009,6.4355731724395655,5,4.182659470008998,5
-OK,109,797,850-5925,no,yes,600,1.4074073916543215,2,7.5501165739588885,6.702694013063943,8,1.2084096197025382,4.356284881411544,300,0.9712686965651072,4.0584715494301165,6,8.677375671030768,2
-NH,10,787,489-9570,yes,yes,100,6.062369760334313,3,9.312911532931704,4.4689216413794535,7,3.240838713992748,1.841347300401016,200,8.182677809261849,4.090228459505144,4,2.762737596814155,10
-CT,132,678,233-6614,no,yes,300,5.477164051330178,3,5.720160147601455,6.041423138865517,1,5.236196054348847,2.5620582605073188,200,5.867035832975938,6.350722763564543,5,3.327751569946923,8
-IA,40,736,807-9949,no,yes,500,2.3457767511191374,4,3.884895432981693,5.023357376316191,6,0.9965248426649236,2.1939454744344653,350,2.9897677275752517,4.816665060130184,3,5.495419385619725,4
-AK,84,657,989-9277,no,no,0,1.6817607109103645,4,4.749875132763754,2.401173103628439,6,3.8063915047904975,4.032828593942031,250,3.050833384627235,3.5665100432697026,6,4.461158599788242,3
-IN,135,737,419-1655,yes,yes,700,3.1190261720020533,6,2.6616181123746987,5.8251888206028495,1,4.942463912986874,6.225443453082034,150,4.01303929557723,3.119790643180911,2,7.545583987636869,7
-KY,38,758,203-4810,no,yes,600,6.594239917484003,4,4.132089315743767,4.8724874472957005,2,6.452069154166255,6.218568256843129,100,4.8086731958392415,4.488744471066721,4,7.683528791335199,4
-OH,23,797,174-5116,yes,yes,200,7.1972698917861875,4,5.169854239854409,5.231708207223612,3,4.504169871122149,4.1484231848692845,150,7.5046105325497505,7.376262746113555,7,0.10458635546705697,7
-AR,45,658,681-2233,no,no,0,6.561486720972128,6,5.039952959404741,5.179218021008183,4,5.421665446664934,4.919942652089448,150,7.373764694194704,4.059152629894613,3,2.310901228606029,7
-FL,72,707,194-4648,no,no,0,0.5775488122629849,4,1.9529425806484149,0.7939542357989477,5,4.2402021531463925,5.1733977932080615,300,3.8499994074579793,5.503087816218492,6,0.9685184645939566,5
-WV,187,878,426-3924,no,no,0,3.0215237336249903,4,3.299562048048575,5.255627794153148,3,1.613302816941296,0.4687989729182052,350,1.4666025396612399,4.754475051986708,6,6.091253881219535,4
-MT,158,778,159-2704,yes,no,0,1.00849856643807,3,4.058513756298991,3.539573969638079,4,3.2568565217119074,3.2772226891336547,300,3.926526800898452,4.315703433250851,5,4.075641912347594,5
-LA,11,766,317-6121,yes,no,0,1.759951479366662,5,2.047997048384477,3.0147724566177314,6,2.0269521735310803,3.7513503692644847,300,3.5174993019087832,2.6404250334470016,4,3.9381214872290697,3
-GA,47,716,313-7156,yes,yes,500,6.694783232524736,2,1.924879159779314,3.7666404643036087,4,1.7283345896575737,0.6521215370755051,350,1.280926255113931,6.8617827006610135,7,2.5450085843204446,5
-MT,85,778,616-8311,yes,yes,300,0.9753306441207236,4,4.107728548808513,3.5732384642200694,5,2.5420810744305307,3.9807314934407256,200,3.4644041240401022,4.089488790903514,6,2.7234860138269528,5
-KY,56,758,207-9156,yes,no,0,3.9416707789953898,5,1.0649057187081796,4.901499903238273,1,4.084951234207384,4.425692093061074,50,7.155534985442321,4.760493561908473,6,1.001938480204759,9
-OH,149,797,347-2505,no,yes,1000,3.269904134632724,3,0.4763640751399105,1.301880560411016,3,7.887806702042838,5.356274902384463,250,3.0298438143345967,5.5795152883895645,10,0.07831459163116516,9
-WY,8,878,310-2086,no,yes,400,6.245780645742607,2,5.118774849467141,8.082050430410893,1,6.763095739291381,1.9551033647754927,300,5.553025750844721,4.02962306200388,4,6.6293913247033975,7
-WV,100,878,693-5368,no,no,0,8.558642459697339,5,4.045806694338591,6.491794323778367,1,6.169517318113918,6.14083989843538,100,6.406015072543562,3.7479096931291824,7,3.5256378161689708,5
-WY,22,878,479-3607,yes,no,0,5.513984837965664,1,3.5632069460908946,4.2525118787025695,2,6.038858895011033,5.011393160597116,300,4.365224322546268,3.3317293097887237,9,2.4754082480980246,9
-CT,143,678,697-9857,yes,yes,600,7.7745801697039605,4,2.025428856758888,4.37306320530092,0,7.138218455283782,6.010449235346103,100,7.244385706298457,5.336267549893632,6,4.024989324965953,5
-IL,58,737,754-1985,yes,yes,400,6.131254458137152,3,4.994993569013095,7.896771633010352,0,4.852328670898185,2.97406152553277,250,6.459428210957722,5.035326966060903,6,3.457234697442585,8
-MA,135,776,278-3033,no,no,0,9.299384839910065,7,4.092468008596693,7.2474603114190534,2,8.448775045705382,2.260207665021606,50,7.8795895901779325,5.903440230412621,5,4.17301879382116,8
-FL,125,707,205-4556,yes,no,0,2.800126069390509,5,3.776295259446,4.427465404357542,4,3.977279089418573,4.095547215912545,250,4.490929747349912,5.893248092276774,6,2.690870152807252,5
-MN,21,777,331-3018,no,yes,200,6.7452143250349925,1,5.197050474303066,6.096205023340263,2,6.565266739161418,2.690147958297612,200,6.949557935563736,5.718995425625132,3,3.691050608563043,9
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+WV,144,878,822-9597,yes,yes,300,8.208166876622826,4,7.94908587475634,8.236819978041982,3,6.305248003798278,2.7752612429941883,200,4.645468607508053,2.572351662353517,6,6.7281516557752745,5
+MS,119,778,344-2606,yes,yes,300,10.456979432016336,1,7.514012851262117,3.9686279498511055,1,8.107733723316988,3.6682513357769095,100,6.994514824332113,5.294601867295061,5,4.688059399794493,5
+NE,150,786,406-4547,yes,no,0,2.5832188521755937,1,1.579506840597876,0.7267468838507423,3,1.7819589003804954,4.674715087346519,200,1.7042767204192266,3.043303709676961,5,4.442791222270138,4
+DC,140,686,980-2372,no,no,0,8.016607388732577,5,3.608554169696189,7.611381360893658,3,7.416120837222579,2.737481075931273,100,6.623632218095766,4.999979568739907,6,5.615188981978389,7
+WV,98,878,985-4122,yes,yes,800,10.365056041413272,1,6.214458501212373,3.3756830801041926,2,7.773748384597047,9.19392733981338,300,5.75397317579479,6.663770294296613,6,4.330836043133113,6
+WV,103,878,375-3606,no,yes,600,7.750116293087436,1,6.560533729721892,6.040837375458705,2,4.779015465252224,5.963816086643779,250,5.422059880287643,5.812908682259554,8,3.042693652010008,7
+ND,187,786,687-7827,yes,no,0,7.962460068760167,6,5.490787102400494,5.692171310103904,5,3.761457989472352,4.341162430132591,150,8.41133003892056,4.6998276943505735,9,1.8414269025771537,7
+AK,25,657,103-5500,no,no,0,10.521011013140903,2,7.9891888636656,8.011844379528885,3,7.203734128031624,5.216069741545327,250,5.432289775959766,3.8872648216108407,6,7.163505418179902,3
+NE,149,786,404-3631,no,yes,500,4.236283926422681,4,3.814108512124162,6.338599147048724,0,4.659089755987136,2.7235666923855586,250,6.284370912150622,4.766662068170112,5,2.644145148227938,9
+PA,177,806,937-2646,no,yes,500,0.9462061716272236,5,5.167526207790577,4.196066903402043,8,3.1779873752032373,4.381904022288005,300,2.0363102631228696,5.046394813735063,5,6.1199412574801535,3
+NC,120,786,451-5264,yes,yes,600,9.317869516672872,3,8.044167523161597,6.520571648174179,5,5.834595114175033,5.907057312912569,350,5.936064273515346,5.083743613723305,8,2.5008687111844794,7
+UT,99,858,407-4270,yes,no,0,10.26706663761777,3,8.463121448103617,6.832061266967106,2,8.741623430162408,2.0898060587581986,250,6.716252722218391,5.660472335828933,4,5.734339182036733,5
+UT,68,858,329-7659,yes,yes,600,3.721949606798596,6,2.363771912664757,2.38556517848904,1,6.81909962822354,2.845924122076388,250,5.566229041851258,5.895878729348176,7,0.6814171052061342,7
+FL,196,707,544-4149,no,no,0,10.156779647935965,1,7.756099480916407,5.384076504215439,1,8.599785075255978,2.209863876375124,250,6.731094332696575,6.7912204013619375,5,5.251147578181838,4
+VT,182,868,406-6438,yes,no,0,4.958468610796113,3,5.797486423956753,5.247735373528136,5,4.934561138963596,5.505547397364751,200,4.302741212298941,3.0846097788818705,2,8.03000065559938,3
+TX,150,848,332-8966,no,no,0,0.3206577937554309,6,2.401979875211815,4.105505245770966,4,3.905050306688908,2.8004802715407937,300,5.067738119233047,2.6197917762434195,3,3.205380880072473,6
+OR,63,798,770-4273,yes,yes,500,5.872586300806173,2,5.098508915003893,5.124949038234494,0,6.765135245700994,3.7223003851236336,150,4.548014697962639,4.742350622511409,3,8.039492883996935,5
+NJ,169,787,585-5905,no,yes,500,5.581677836814239,7,6.096271874966486,7.211324615656327,6,5.233607142335536,5.545133621397396,400,4.438549137760641,4.357888964974602,5,4.24315805547031,6
+MI,26,777,100-2030,yes,yes,100,8.16733368772207,2,7.336070883471593,9.204836463275957,0,5.6838323693310295,2.2420513752180518,250,6.893984782166927,6.061071602420194,5,3.654167367878415,8
+TN,59,847,944-1286,yes,no,0,7.36876377290376,5,2.925915509881424,7.936633018731507,0,4.779369005522204,3.7442809897214566,200,8.282071603215366,4.949380849281056,9,0.1903462948295757,8
+MD,182,776,905-6857,no,yes,500,1.3975597623478864,3,4.703923896928902,3.462628622735194,5,2.901747343072725,4.048250819388513,350,3.0469027739850025,4.262375681171017,8,1.5609978858948814,6
+KY,174,758,497-3435,no,yes,300,9.151503364224698,5,6.7529088858349295,6.180525237937227,3,7.719139464328303,3.776623766214304,150,6.531206297512087,4.419992141308956,4,5.805070768575416,5
+TN,37,847,716-2021,yes,yes,400,6.866377585526288,5,5.574373700208064,4.434219915065822,2,5.910263165841982,2.992919685365244,100,6.88101860019326,5.455255153877922,5,2.1538146685869,7
diff --git a/data/train/churn_train.txt b/data/train/churn_train.txt
index 63c32d1..7730715 100644
--- a/data/train/churn_train.txt
+++ b/data/train/churn_train.txt
@@ -1,101 +1,4001 @@
 State,Account Length,Area Code,Phone,Int'l Plan,VMail Plan,VMail Message,Day Mins,Day Calls,Day Charge,Eve Mins,Eve Calls,Eve Charge,Night Mins,Night Calls,Night Charge,Intl Mins,Intl Calls,Intl Charge,CustServ Calls,Churn?
-PA,163,806,403-2562,no,yes,300,8.162204021739099,3,7.579173703343681,3.9330349941938634,4,6.508638877091394,4.065759457683862,100,5.1116239145545554,4.9281602056057885,6,5.673203040696215,3,True.
-SC,15,836,158-8416,yes,no,0,10.01899266483425,4,4.226288822198435,2.3250045529370977,0,9.97259241534841,7.141039871521733,200,6.436187619334115,3.221747623188701,6,2.5597491623290343,8,False.
-MO,131,777,896-6253,no,yes,300,4.708489916519045,3,4.768159882372771,4.53746627560553,3,4.566714501754875,5.3632346813680325,100,5.142450865432123,7.139023052596313,2,6.254156588270942,4,False.
-WY,75,878,817-5729,yes,yes,700,1.2687337723540173,3,2.567641585633793,2.5287478822678833,5,2.3336236298897663,3.7735855781125625,450,3.814413422187984,2.245779327608127,6,1.0806920414898902,6,False.
-WY,146,878,450-4942,yes,no,0,2.696177237539812,3,5.90891586890616,6.015337072056723,3,3.670407748359811,3.751673372296208,250,2.7968119977118326,6.905545285710017,4,7.134342911307563,6,True.
-VA,83,866,454-9110,no,no,0,3.634775967167544,7,4.804891886787017,6.051944336178219,5,5.278436964531922,2.9378799867977663,300,4.817958439785448,4.948816088347728,4,5.13532274057697,5,False.
-IN,140,737,331-5751,yes,no,0,3.2294202559197576,4,3.1650820605916827,2.4401528097922234,8,0.2645430898924843,2.3522738978288897,300,3.8691763484913535,5.393439248879196,4,1.7847648201298167,4,False.
-LA,54,766,871-3612,no,no,0,0.5679201829579954,6,1.9500983881773608,4.507026828401552,0,4.473085755958402,0.6887851476456044,400,6.132136688828528,5.012747240961724,5,0.41742093904546174,8,False.
-MO,195,777,249-5723,yes,no,0,5.81111576183708,6,4.3310650166800375,8.104126146210891,2,4.475034292704634,4.208352014531881,250,5.974575349503846,4.750152912633531,7,3.320310789878026,7,True.
-AL,104,657,767-7682,yes,no,0,2.714429979003967,7,5.1386692037471695,8.529943776515548,6,3.3211210082053517,2.342176971074203,300,4.3289657427720805,3.4335541816306137,5,5.67705785313621,4,False.
-CA,137,676,185-4876,no,yes,800,3.859041609694364,3,3.805902920492996,1.9581225192006928,2,5.865065967518977,5.601397036305559,350,3.4364494629651117,4.95536629266736,9,1.035231207175172,7,False.
+VT,54,868,765-5532,yes,yes,800,8.79110052881822,0,5.289804901818886,3.0006606400457256,1,7.162342800563192,5.932550039352426,200,5.656763409961404,4.481208861710778,8,2.198466279847525,8,False.
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+CO,147,677,432-6098,no,yes,400,6.496274624406159,7,4.0386260913846215,4.9818150280368885,1,7.209498486350891,3.4497568511290493,150,7.141302133100696,6.139915995557477,4,2.563647176715816,8,False.
+VA,33,866,680-7167,no,yes,800,0.2141237894772478,5,2.7478071936039283,6.667249735161519,0,3.7105697501024593,1.397775006624797,300,3.788410955714685,6.125858768956448,4,7.693159660816305,5,False.
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+IA,149,736,621-6730,yes,no,0,0.3570435030020009,3,3.505091431863939,5.289811800409789,2,2.4025447279667107,2.6922602941339004,250,4.595743470471094,4.513684475628301,4,3.689059985696929,7,False.
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+NV,115,788,968-8141,yes,yes,200,13.913852217434371,4,8.261744640062082,8.14095294558872,5,8.659118053501171,7.209096451938203,100,4.916776908499179,6.177277276386503,9,7.904598377308169,1,True.
+OH,34,797,925-5242,yes,yes,400,5.882729770656104,4,4.086008268369728,5.719455032784401,0,4.448455998330852,2.9818487958075943,150,6.828370917331631,5.928879785298254,8,0.5285252916830574,8,True.
+ND,175,786,239-2953,yes,no,0,10.28676378099166,0,5.57850984225391,6.306647985235341,5,9.736263742412344,3.26085966768213,100,5.691421333107599,3.588038149598312,4,8.71572411141848,6,True.
+OK,196,797,375-3769,yes,no,0,2.3402518743663467,4,3.4260995563738037,4.501029876513075,1,4.822740503811789,4.414433457010387,300,3.0451253674427035,4.3569096096907725,6,5.903421812856034,5,False.
+AL,63,657,192-4280,no,yes,500,0.0142471428108326,3,1.9676852844449664,4.206723169643299,1,3.716717149022838,4.624040832122881,200,3.0151417615928366,6.246115097711963,2,8.206888229097565,4,False.
+VA,35,866,655-9177,no,yes,500,5.818032067600523,4,3.378746471404636,6.190013146535193,0,5.191796274018999,3.712501699771569,200,6.404185218224341,4.7666581376468224,6,3.1279017844528907,7,True.
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+ME,27,776,605-3683,yes,yes,400,5.182358064142733,5,3.5583002460106075,3.050619232731467,3,4.349551100181527,6.231501087691509,50,6.178896395971021,6.080129541187952,5,1.7550464599636042,7,True.
+LA,191,766,329-3186,yes,no,0,12.81992309756682,3,7.310809369915741,8.331165241844573,0,8.890579049857656,2.182595851287558,200,7.20786315445906,3.6303598098778553,9,5.469429872343973,3,True.
+LA,189,766,741-5389,no,no,0,3.805808329989935,1,4.487290081965076,3.0509630560156555,2,4.469253972484148,4.195015161601569,350,5.324918150488217,6.165456582949592,7,1.2845806039598775,7,False.
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+MI,96,777,382-9582,yes,yes,500,7.358443276065973,2,3.188986542200455,7.15535901867476,1,4.877496405809918,4.745751404106207,150,5.7328616424165615,4.877938687551231,10,3.8881963794380088,4,True.
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From 06bb6f0202ec1eb015284b342ca0c18aacc28e4b Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Tue, 1 Jun 2021 11:17:49 +0900
Subject: [PATCH 20/29] aws sync cnf

---
 notebook/coxph/InterventionChurn.png | Bin 0 -> 555088 bytes
 notebook/coxph/TraditionalChurn.png  | Bin 0 -> 398783 bytes
 notebook/coxph/create_kernel.sh      |  22 ++++
 scripts/coxph/preprocessing.py       | 181 ---------------------------
 scripts/coxph/preprocessing_local.py |  52 --------
 scripts/coxph/train.py               | 133 --------------------
 scripts/coxph/train_local.py         |  25 ----
 standup.sh                           |   2 +-
 8 files changed, 23 insertions(+), 392 deletions(-)
 create mode 100644 notebook/coxph/InterventionChurn.png
 create mode 100644 notebook/coxph/TraditionalChurn.png
 create mode 100644 notebook/coxph/create_kernel.sh
 delete mode 100644 scripts/coxph/preprocessing.py
 delete mode 100644 scripts/coxph/preprocessing_local.py
 delete mode 100644 scripts/coxph/train.py
 delete mode 100644 scripts/coxph/train_local.py

diff --git a/notebook/coxph/InterventionChurn.png b/notebook/coxph/InterventionChurn.png
new file mode 100644
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diff --git a/notebook/coxph/create_kernel.sh b/notebook/coxph/create_kernel.sh
new file mode 100644
index 0000000..4af67ce
--- /dev/null
+++ b/notebook/coxph/create_kernel.sh
@@ -0,0 +1,22 @@
+#!/bin/bash
+
+conda create -n churn python=3.8 -y
+source activate churn
+
+conda install -c conda-forge shap -y
+conda install -c sebp scikit-survival -y
+conda install -c conda-forge xgboost -y
+python3 -m pip install matplotlib graphviz lifelines seaborn
+conda install ipykernel -y
+
+echo "packages installed"
+
+# create the kernel
+python3 -m ipykernel install --user --name churn --display-name "churn-kernel"
+
+echo "kernel installed"
+# deactivete
+conda deactivate churn
+
+# to save this enviroment you can:
+#conda env export > environment.yml
diff --git a/scripts/coxph/preprocessing.py b/scripts/coxph/preprocessing.py
deleted file mode 100644
index b593fcf..0000000
--- a/scripts/coxph/preprocessing.py
+++ /dev/null
@@ -1,181 +0,0 @@
-import argparse
-import logging
-import os
-import subprocess
-import sys
-import warnings
-
-
-def install(package):
-    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
-
-
-install("awswrangler==2.4.0")
-
-import awswrangler as wr
-import boto3
-import joblib
-import numpy as np
-import pandas as pd
-from sklearn.compose import ColumnTransformer
-from sklearn.exceptions import DataConversionWarning
-from sklearn.impute import SimpleImputer
-from sklearn.model_selection import train_test_split
-from sklearn.pipeline import Pipeline
-from sklearn.preprocessing import OneHotEncoder, StandardScaler
-
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
-
-warnings.filterwarnings(action="ignore", category=DataConversionWarning)
-
-col_type = {
-    "state": "category",
-    "account length": "int64",
-    "area code": "str",
-    "int'l plan": "category",
-    "vmail plan": "category",
-    "vmail message": "int64",
-    "day mins": "float64",
-    "day calls": "int64",
-    "day charge": "float64",
-    "eve mins": "float64",
-    "eve calls": "int64",
-    "eve charge": "float64",
-    "night mins": "float64",
-    "night calls": "int64",
-    "night charge": "float64",
-    "intl mins": "float64",
-    "intl calls": "int64",
-    "intl charge": "float64",
-    "custserv calls": "int64",
-    "churn?": "category",
-}
-
-columns = list(col_type.keys())
-target_col = "churn?"
-class_labels = ["True.", "False."]
-
-
-def main(args):
-    """
-    Runs preprocessing for the example data set
-        1. Pulls data from the Athena database
-        2. Splits data into training and testing
-        3. Preprocess categorical and numerical test_features
-        4. Writes preprocessed data to S3
-
-    Args:
-        database (str, required): Athena database to query data from
-        table (str, required): Athena table name to query data from
-        region (str, required): AWS Region for queries
-        train-test-split-ratio (float): Percentage to split the data into
-        , default is 25%
-        random-state (float): Random seed used for train and test split
-        , default is 123
-
-
-    """
-    logger.debug(f"Received arguments {args}")
-    DATABASE, TABLE, REGION = args.database, args.table, args.region
-
-    boto3.setup_default_session(region_name=f"{REGION}")
-    df = wr.athena.read_sql_query(
-        f'SELECT * FROM "{TABLE}"', database=DATABASE, ctas_approach=False
-    )
-    df = df[columns]
-    df = df.astype(col_type)
-    logger.info(df.dtypes)
-
-    df["event"] = np.where(df["churn?"] == "False.", 0, 1)
-    del df["churn?"]
-    df = df.rename(columns={"account length": "duration"})
-
-    df = df.dropna()
-    df = df.drop_duplicates()
-
-    negative_examples, positive_examples = df["event"].value_counts().values
-    print(
-        """Data after cleaning: {}
-            , {} positive examples, {} negative examples""".format(
-            df.shape, positive_examples, negative_examples
-        )
-    )
-
-    train, test = train_test_split(
-        df, test_size=args.train_test_split_ratio, random_state=args.random_state
-    )
-
-    logger.info(train.dtypes)
-
-    numerical_idx = (
-        train.select_dtypes(exclude=["object", "category"])
-        .drop(["event", "duration"], 1)
-        .columns.tolist()
-    )
-
-    categorical_idx = train.select_dtypes(exclude=["float", "int"]).columns.tolist()
-
-    numeric_transformer = Pipeline(
-        steps=[
-            ("imputer", SimpleImputer(strategy="median")),
-            ("scaler", StandardScaler()),
-        ]
-    )
-
-    categorical_transformer = Pipeline(
-        steps=[
-            ("imputer", SimpleImputer(strategy="constant", fill_value="missing")),
-            ("onehot", OneHotEncoder(sparse=False, handle_unknown="ignore")),
-        ]
-    )
-
-    preprocessor = ColumnTransformer(
-        [
-            ("numerical", numeric_transformer, numerical_idx),
-            ("categorical", categorical_transformer, categorical_idx),
-        ],
-        remainder="passthrough",
-    )
-
-    logger.info("Running preprocessing and feature engineering transformations")
-    train_features = preprocessor.fit_transform(train)
-    test_features = preprocessor.transform(test)
-
-    logger.info(f"train features size {train_features.shape}")
-    logger.info(f"test features size {test_features.shape}")
-
-    preprocessor_output_path = os.path.join(
-        "/opt/ml/processing/transformer", "preprocessor.joblib"
-    )
-    joblib.dump(preprocessor, preprocessor_output_path)
-
-    train_features_output_path = os.path.join(
-        "/opt/ml/processing/train", "train_features.csv"
-    )
-
-    test_features_output_path = os.path.join(
-        "/opt/ml/processing/test", "test_features.csv"
-    )
-
-    logger.info(f"Saving training data to {train_features_output_path}")
-    pd.DataFrame(train_features).to_csv(
-        train_features_output_path, header=True, index=False
-    )
-
-    logger.info(f"Saving test data to {test_features_output_path}")
-    pd.DataFrame(test_features).to_csv(
-        test_features_output_path, header=True, index=False
-    )
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--database", type=str, required=True)
-    parser.add_argument("--region", type=str, required=True)
-    parser.add_argument("--table", type=str, required=True)
-    parser.add_argument("--train-test-split-ratio", type=float, default=0.25)
-    parser.add_argument("--random-state", type=float, default=123)
-    args = parser.parse_args()
-
-    main(args)
diff --git a/scripts/coxph/preprocessing_local.py b/scripts/coxph/preprocessing_local.py
deleted file mode 100644
index c90c75e..0000000
--- a/scripts/coxph/preprocessing_local.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from sagemaker.local import LocalSession
-from sagemaker.processing import ProcessingInput, ProcessingOutput
-from sagemaker.sklearn.processing import SKLearnProcessor
-
-sagemaker_session = LocalSession()
-sagemaker_session.config = {"local": {"local_code": True}}
-
-# For local training a dummy role will be sufficient
-role = "arn:aws:iam::111111111111:role/service-role/"
-role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
-
-processor = SKLearnProcessor(
-    framework_version="0.23-1",
-    instance_count=1,
-    base_job_name="TrainingPreprocessing",
-    instance_type="local",
-    role=role,
-)
-
-# TO DO: possible to write locally instead of to S3? Mock bucket?
-print("Starting processing job.")
-print(
-    """Note: if launching for the first time in local mode,
-     container image download might take a few minutes to complete."""
-)
-processor.run(
-    code="preprocessing.py",
-    inputs=[
-        ProcessingInput(source="data/", destination="/opt/ml/processing/input_data/")
-    ],
-    outputs=[
-        ProcessingOutput(output_name="train_data", source="/opt/ml/processing/train"),
-        ProcessingOutput(output_name="test_data", source="/opt/ml/processing/test"),
-        ProcessingOutput(
-            output_name="preprocessor", source="/opt/ml/processing/transformer"
-        ),
-    ],
-    arguments=[
-        "--database",
-        #        DATABASE,
-        "--region",
-        sagemaker_session.boto_region_name,
-        "--table",
-        #       TABLE,
-        "--train-test-split-ratio",
-        "0.2",
-    ],
-)
-
-preprocessing_job_description = processor.jobs[-1].describe()
-output_config = preprocessing_job_description["ProcessingOutputConfig"]
-print(output_config)
diff --git a/scripts/coxph/train.py b/scripts/coxph/train.py
deleted file mode 100644
index 5c1c36b..0000000
--- a/scripts/coxph/train.py
+++ /dev/null
@@ -1,133 +0,0 @@
-import argparse
-import logging
-import os
-import subprocess
-import sys
-
-
-def install(package):
-    subprocess.check_call([sys.executable, "-m", "pip", "install", package])
-
-
-install("xgboost")
-
-import joblib
-import numpy as np
-import pandas as pd
-import xgboost as xgb
-
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
-
-
-def survival_y_cox(dframe):
-    """Returns array of outcome encoded for XGB"""
-    y_survival = []
-
-    for idx, row in dframe[["duration", "event"]].iterrows():
-        if row["event"]:
-            # uncensored
-            y_survival.append(int(row["duration"]))
-        else:
-            # right censored
-            y_survival.append(-int(row["duration"]))
-    return np.array(y_survival)
-
-
-def main(args):
-    """
-    Runs preprocessing for the example data set
-        1. Pulls data from the Athena database
-        2. Splits data into training and testing
-        3. Preprocess categorical and numerical test_features
-        4. Writes preprocessed data to S3
-
-    Args:
-        database (str, required): Athena database to query data from
-        table (str, required): Athena table name to query data from
-        region (str, required): AWS Region for queries
-        train-test-split-ratio (float): Percentage to split the data into
-        , default is 25%
-        random-state (float): Random seed used for train and test split
-        , default is 123
-
-    """
-    logger.debug(f"Received arguments {args}")
-
-    train_data_path = os.path.join("/opt/ml/input/data/train", args.train_data)
-    test_data_path = os.path.join("/opt/ml/input/data/test", args.test_data)
-
-    train = pd.read_csv(train_data_path, header=0)
-    test = pd.read_csv(test_data_path, header=0)
-
-    train = train.rename(columns={"91": "event", "90": "duration"})
-    test = test.rename(columns={"91": "event", "90": "duration"})
-
-    logger.info(train.shape)
-    logger.info(test.shape)
-
-    y_train = train[["duration", "event"]]
-    y_test = test[["duration", "event"]]
-
-    train = train.drop(["duration", "event"], 1)
-    test = test.drop(["duration", "event"], 1)
-
-    logger.info(train.shape, y_train.shape)
-    logger.info(test.shape, y_test.shape)
-
-    xgb_train = xgb.DMatrix(train, label=survival_y_cox(y_train))
-    xgb_test = xgb.DMatrix(test, label=survival_y_cox(y_test))
-
-    callbacks = [xgb.callback.EvaluationMonitor(period=20)]
-
-    params = {
-        "eta": args.eta,
-        "max_depth": args.max_depth,
-        "objective": args.objective,
-        "tree_method": args.tree_method,
-        "min_child_weight": args.min_child_weight,
-        "gamma": args.gamma,
-        "alpha": args.alpha,
-        "subsample": args.subsample,
-        "seed": args.seed,
-    }
-
-    logger.info(f"pramas set to {params}")
-
-    model = xgb.train(
-        params,
-        xgb_train,
-        num_boost_round=args.num_boost_round,
-        evals=[(xgb_train, "train"), (xgb_test, "val")],
-        early_stopping_rounds=10,
-        callbacks=callbacks,
-        verbose_eval=0,
-    )
-
-    logger.info(f"Best score of model is {model.best_score}")
-
-    joblib.dump(model, os.path.join(args.model_dir, "model.joblib"))
-
-
-if __name__ == "__main__":
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--model-name", type=str, default="xgboost-model")
-    parser.add_argument("--test-data", type=str, default="test_features.csv")
-    parser.add_argument("--train-data", type=str, default="train_features.csv")
-    parser.add_argument("--model-dir", type=str, default=os.environ["SM_MODEL_DIR"])
-    parser.add_argument("--seed", type=int, default=123)
-
-    # HYPERPARAMETERS
-    parser.add_argument("--objective", type=str, default="survival:cox")
-    parser.add_argument("--eta", type=float, default=0.1)
-    parser.add_argument("--max-depth", type=int, default=3)
-    parser.add_argument("--subsample", type=float, default=0.8)
-    parser.add_argument("--gamma", type=float, default=0.0)
-    parser.add_argument("--min-child-weight", type=int, default=1)
-    parser.add_argument("--tree-method", type=str, default="hist")
-    parser.add_argument("--alpha", type=float, default=0.0)
-
-    args = parser.parse_args()
-
-    main(args)
diff --git a/scripts/coxph/train_local.py b/scripts/coxph/train_local.py
deleted file mode 100644
index de13951..0000000
--- a/scripts/coxph/train_local.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from sagemaker.local import LocalSession
-from sagemaker.sklearn.estimator import SKLearn
-
-sagemaker_session = LocalSession()
-sagemaker_session.config = {"local": {"local_code": True}}
-
-# For local training a dummy role will be sufficient
-role = "arn:aws:iam::111111111111:role/service-role/"
-role = role + "AmazonSageMaker-ExecutionRole-20200101T000001"
-
-sklearn = SKLearn(
-    entry_point="/home/ec2-user/SageMaker/surv/train.py",
-    framework_version="0.23-1",
-    instance_type="local",
-    role=role,
-    base_job_name="training_job",
-    sagemaker_session=sagemaker_session,
-)
-
-# sklearn.fit({"train": train_data_location, "test": test_data_location})
-
-training_job_description = sklearn.jobs[-1].describe()
-training_output_config = training_job_description["ModelArtifacts"]
-
-print(training_output_config)
diff --git a/standup.sh b/standup.sh
index da53990..236ce3b 100755
--- a/standup.sh
+++ b/standup.sh
@@ -54,7 +54,7 @@ echo "Uploading Step Function Scripts to S3..."
 
 aws s3 sync ./scripts s3://${S3_BUCKET_NAME}/script/ > /dev/null
 
-aws s3 cp ./cfn/pipeline.yaml s3://${S3_BUCKET_NAME}/cfn/ > /dev/null
+aws s3 sync ./cfn/ s3://${S3_BUCKET_NAME}/cfn/ > /dev/null
 
 # need to wait for cloudformation to finish to kick off job
 sleep 30

From b34ed13250c97926c2508770f8085d02da0a24a1 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Tue, 1 Jun 2021 15:57:01 +0900
Subject: [PATCH 21/29] more trees

---
 cfn/time_to_event_pipeline.yaml | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 2e78ce2..3dc8814 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -368,7 +368,7 @@ Resources:
                         "HyperParameterTuningJobConfig": {
                             "Strategy": "Bayesian",
                             "ResourceLimits": {
-                                "MaxNumberOfTrainingJobs": 4,
+                                "MaxNumberOfTrainingJobs": 8,
                                 "MaxParallelTrainingJobs": 2
                             },
                             "TrainingJobEarlyStoppingType": "Auto",
@@ -452,8 +452,9 @@ Resources:
                             "StaticHyperParameters": {
                                 "objective": "survival:cox",
                                 "tree_method":"hist",
-                                "num_round": "5",
-                                "tweedie_variance_power": "1.4"
+                                "num_round": "100",
+                                "tweedie_variance_power": "1.4",
+                                "early_stopping_rounds":10
                             }
                         }
                     },

From c7eb42820fd87444dbb053661bb21d81d19a7d0f Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Tue, 1 Jun 2021 16:00:07 +0900
Subject: [PATCH 22/29] more trees

---
 cfn/time_to_event_pipeline.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 3dc8814..ac9a38a 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -454,7 +454,7 @@ Resources:
                                 "tree_method":"hist",
                                 "num_round": "100",
                                 "tweedie_variance_power": "1.4",
-                                "early_stopping_rounds":10
+                                "early_stopping_rounds": "10"
                             }
                         }
                     },

From 141972aa81e79ed66b34cfe3e0b85c2d50d81dec Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Wed, 2 Jun 2021 09:20:44 +0900
Subject: [PATCH 23/29] adding headers to preproc

---
 cfn/time_to_event_pipeline.yaml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index ac9a38a..717e947 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -380,8 +380,8 @@ Resources:
                                 "ContinuousParameterRanges": [
                                     {
                                         "Name": "eta",
-                                        "MinValue": "0",
-                                        "MaxValue": "1",
+                                        "MinValue": "0.1",
+                                        "MaxValue": "0.5",
                                         "ScalingType": "Auto"
                                     },
                                     {
@@ -453,7 +453,7 @@ Resources:
                                 "objective": "survival:cox",
                                 "tree_method":"hist",
                                 "num_round": "100",
-                                "tweedie_variance_power": "1.4",
+                                "subsample": "0.8",
                                 "early_stopping_rounds": "10"
                             }
                         }

From e4f8d6bb2bfe4e5045d5971789033e6f3614a3a3 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Wed, 2 Jun 2021 09:41:39 +0900
Subject: [PATCH 24/29] spelling

---
 standup.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/standup.sh b/standup.sh
index 236ce3b..621fd1e 100755
--- a/standup.sh
+++ b/standup.sh
@@ -61,7 +61,7 @@ sleep 30
 
 aws glue --region ${REGION} start-crawler --name crawler-${STACK_NAME} > /dev/null
 
-echo "Deplyoing Training and Inference Pipeline..."
+echo "Deploying Training and Inference Pipeline..."
 
 aws cloudformation --region ${REGION}  create-stack \
 --stack-name ${STACK_NAME}-pipeline \

From e9146cfe9cc871e91b8f8cf08f8c36a2c29d9c77 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Wed, 2 Jun 2021 12:50:52 +0900
Subject: [PATCH 25/29] 0 to 1 scaling for classifier

---
 cfn/time_to_event_pipeline.yaml |  2 +-
 scripts/coxph_evaluation.py     |  6 ++++--
 scripts/coxph_preprocessing.py  | 19 ++++++++++++++-----
 3 files changed, 19 insertions(+), 8 deletions(-)

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 717e947..422e4a4 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -452,7 +452,7 @@ Resources:
                             "StaticHyperParameters": {
                                 "objective": "survival:cox",
                                 "tree_method":"hist",
-                                "num_round": "100",
+                                "num_round": "500",
                                 "subsample": "0.8",
                                 "early_stopping_rounds": "10"
                             }
diff --git a/scripts/coxph_evaluation.py b/scripts/coxph_evaluation.py
index f0c6c90..970f337 100644
--- a/scripts/coxph_evaluation.py
+++ b/scripts/coxph_evaluation.py
@@ -28,6 +28,7 @@ def install(package):
 import shap
 import xgboost
 from sklearn.metrics import accuracy_score, classification_report
+from sklearn.preprocessing import MinMaxScaler
 from sksurv.datasets import get_x_y
 from sksurv.metrics import brier_score, concordance_index_ipcw
 from smdebug.trials import create_trial
@@ -99,16 +100,17 @@ def main(args):
     predictions = model.predict(
         xgboost.DMatrix(X_test.values[:, 1:]), output_margin=False
     )
+    normed_predictions = MinMaxScaler().fit_transform(predictions.reshape(-1, 1))
 
     logger.info("Creating evaluation report")
 
     # NOTE: technical evaluation is really not as a classifier
     # TO DO: Normalize to 0 to 1 scale
     report_dict = classification_report(
-        y_test_df["event"], predictions > args.threshold, output_dict=True
+        y_test_df["event"], normed_predictions > args.threshold, output_dict=True
     )
     report_dict["accuracy"] = accuracy_score(
-        y_test_df["event"], predictions > args.threshold
+        y_test_df["event"], normed_predictions > args.threshold
     )
 
     _, y_train_tuple = get_x_y(y_train_df, ["event", "duration"], pos_label=True)
diff --git a/scripts/coxph_preprocessing.py b/scripts/coxph_preprocessing.py
index d19ce9f..85aaebc 100644
--- a/scripts/coxph_preprocessing.py
+++ b/scripts/coxph_preprocessing.py
@@ -93,8 +93,6 @@ def main(args):
         , default is 25%
         random-state (float): Random seed used for train and test split
         , default is 123
-
-
     """
     logger.debug(f"Received arguments {args}")
     DATABASE, TABLE, REGION = args.database, args.table, args.region
@@ -126,6 +124,8 @@ def main(args):
     y = survival_y_cox(df)
     X = df.drop(["event", "duration"], 1)
 
+    logger.info(f"Splitting training and validation by{args.train_test_split_ratio}")
+
     X_train, X_test, y_train, y_test = train_test_split(
         X, y, test_size=args.train_test_split_ratio, random_state=args.random_state
     )
@@ -171,6 +171,14 @@ def main(args):
     train_features = np.hstack((y_train.reshape(-1, 1), train_features))
     test_features = np.hstack((y_test.reshape(-1, 1), test_features))
 
+    # getting the feature names
+    feature_names = (
+        numerical_idx
+        + preprocessor.transformers_[1][1]["onehot"].get_feature_names().tolist()
+    )
+
+    feature_names = ["target"] + feature_names
+
     preprocessor_output_path = os.path.join(
         "/opt/ml/processing/transformer", "preprocessor.joblib"
     )
@@ -185,12 +193,13 @@ def main(args):
     )
 
     logger.info(f"Saving training data to {train_features_output_path}")
-    pd.DataFrame(train_features).to_csv(
+
+    pd.DataFrame(train_features, columns=feature_names).to_csv(
         train_features_output_path, header=True, index=False
     )
 
     logger.info(f"Saving test data to {test_features_output_path}")
-    pd.DataFrame(test_features).to_csv(
+    pd.DataFrame(test_features, columns=feature_names).to_csv(
         test_features_output_path, header=True, index=False
     )
 
@@ -200,7 +209,7 @@ def main(args):
     parser.add_argument("--database", type=str, required=True)
     parser.add_argument("--region", type=str, required=True)
     parser.add_argument("--table", type=str, required=True)
-    parser.add_argument("--train-test-split-ratio", type=float, default=0.25)
+    parser.add_argument("--train-test-split-ratio", type=float, default=0.20)
     parser.add_argument("--random-state", type=float, default=123)
     args = parser.parse_args()
 

From 5d687dc9805c97a7f513603dcdb218087401b7dd Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Wed, 2 Jun 2021 13:24:36 +0900
Subject: [PATCH 26/29] 0 to 1 scale

---
 scripts/coxph_evaluation.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/scripts/coxph_evaluation.py b/scripts/coxph_evaluation.py
index 970f337..f0c6c90 100644
--- a/scripts/coxph_evaluation.py
+++ b/scripts/coxph_evaluation.py
@@ -28,7 +28,6 @@ def install(package):
 import shap
 import xgboost
 from sklearn.metrics import accuracy_score, classification_report
-from sklearn.preprocessing import MinMaxScaler
 from sksurv.datasets import get_x_y
 from sksurv.metrics import brier_score, concordance_index_ipcw
 from smdebug.trials import create_trial
@@ -100,17 +99,16 @@ def main(args):
     predictions = model.predict(
         xgboost.DMatrix(X_test.values[:, 1:]), output_margin=False
     )
-    normed_predictions = MinMaxScaler().fit_transform(predictions.reshape(-1, 1))
 
     logger.info("Creating evaluation report")
 
     # NOTE: technical evaluation is really not as a classifier
     # TO DO: Normalize to 0 to 1 scale
     report_dict = classification_report(
-        y_test_df["event"], normed_predictions > args.threshold, output_dict=True
+        y_test_df["event"], predictions > args.threshold, output_dict=True
     )
     report_dict["accuracy"] = accuracy_score(
-        y_test_df["event"], normed_predictions > args.threshold
+        y_test_df["event"], predictions > args.threshold
     )
 
     _, y_train_tuple = get_x_y(y_train_df, ["event", "duration"], pos_label=True)

From 93dd621678ad973c591b929e61a6c42fcab5373c Mon Sep 17 00:00:00 2001
From: Baichuan Sun <baichsun@amazon.com>
Date: Wed, 2 Jun 2021 18:12:35 +1000
Subject: [PATCH 27/29] =?UTF-8?q?=F0=9F=94=A8=20bash=20case?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 standup.sh | 21 ++++++++++++---------
 1 file changed, 12 insertions(+), 9 deletions(-)

diff --git a/standup.sh b/standup.sh
index 621fd1e..9811ace 100755
--- a/standup.sh
+++ b/standup.sh
@@ -10,14 +10,17 @@ TIME_TO_EVENT=$4
 
 DATABASE=$S3_BUCKET_NAME
 
-# Running time to event or binary classification template
-if [[ -n $TIME_TO_EVENT ]]; then
-    TEMPLATE="https://${S3_BUCKET_NAME}.s3-${REGION}.amazonaws.com/cfn/time_to_event_pipeline.yaml"
-    echo $TEMPLATE
-else
-    TEMPLATE="https://${S3_BUCKET_NAME}.s3-${REGION}.amazonaws.com/cfn/classification_pipeline.yaml"
-    echo $TEMPLATE
-fi
+case "$TIME_TO_EVENT" in 
+
+    "time")
+        TEMPLATE="https://${S3_BUCKET_NAME}.s3-${REGION}.amazonaws.com/cfn/time_to_event_pipeline.yaml"
+        echo $TEMPLATE
+    ;;
+    *)
+        TEMPLATE="https://${S3_BUCKET_NAME}.s3-${REGION}.amazonaws.com/cfn/classification_pipeline.yaml"
+        echo $TEMPLATE 
+    ;;
+esac
 
 echo "stack name=${STACK_NAME}"
 echo "bucket name=${S3_BUCKET_NAME}"
@@ -37,7 +40,7 @@ aws cloudformation --region ${REGION} create-change-set --stack-name ${STACK_NAM
 --resources-to-import "[{\"ResourceType\":\"AWS::Athena::WorkGroup\",\"LogicalResourceId\":\"AthenaPrimaryWorkGroup\",\"ResourceIdentifier\":{\"Name\":\"primary\"}}]" \
 --template-body file://cfn/01-athena.yaml --parameters ParameterKey="DataBucketName",ParameterValue=${S3_BUCKET_NAME} > /dev/null
 
-sleep 5
+sleep 15
 
 aws cloudformation --region ${REGION} execute-change-set --change-set-name ImportChangeSet --stack-name ${STACK_NAME}-athena > /dev/null
 

From 18584062549e03c01da2bb35064658e17154ad29 Mon Sep 17 00:00:00 2001
From: Baichuan Sun <baichsun@amazon.com>
Date: Wed, 2 Jun 2021 19:36:06 +1000
Subject: [PATCH 28/29] =?UTF-8?q?=E2=9C=8F=EF=B8=8F=20typos?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 README.md | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 1ea03b8..cff75dc 100644
--- a/README.md
+++ b/README.md
@@ -11,7 +11,6 @@ It provides:
 - Amazon Athena and AWS Glue backend that allows for the pipeline to scale on demand and with new data
 - End to End Implementation for your own custom churn pipeline
 
-
 > An [AWS Professional Service](https://aws.amazon.com/professional-services/) open source initiative | aws-proserve-opensource@amazon.com
 
 [![Python Version](https://img.shields.io/badge/python-3.9-brightgreen.svg)]()
@@ -23,10 +22,12 @@ It provides:
 
 ## Table of contents
 
-- [Quick Start](#quick-start)
-- [Read The Docs](#read-the-docs)
-- [Soution Architecture](#solution-architecture)
-- [Contributing](#contributing)
+- [Customer Churn Pipeline on AWS](#customer-churn-pipeline-on-aws)
+  - [Table of contents](#table-of-contents)
+  - [Quick Start](#quick-start)
+  - [Read The Docs](#read-the-docs)
+  - [Solution Architecture](#solution-architecture)
+  - [Contributing](#contributing)
 
 ## Quick Start
 

From 1102538235ecd0739536e8148a7c79f458c43d75 Mon Sep 17 00:00:00 2001
From: Charles Frenzel <frenzec@amazon.com>
Date: Thu, 3 Jun 2021 09:20:10 +0900
Subject: [PATCH 29/29] nb and seed

---
 cfn/time_to_event_pipeline.yaml         |    1 +
 notebook/coxph/CustomerLifecycle.png    |  Bin 0 -> 78466 bytes
 notebook/coxph/Example_Churn_Surv.ipynb | 1347 +++++++++++++++++++++++
 notebook/coxph/TraditionalChurn.png     |  Bin 398783 -> 261316 bytes
 4 files changed, 1348 insertions(+)
 create mode 100644 notebook/coxph/CustomerLifecycle.png
 create mode 100644 notebook/coxph/Example_Churn_Surv.ipynb

diff --git a/cfn/time_to_event_pipeline.yaml b/cfn/time_to_event_pipeline.yaml
index 422e4a4..63cb3c9 100644
--- a/cfn/time_to_event_pipeline.yaml
+++ b/cfn/time_to_event_pipeline.yaml
@@ -454,6 +454,7 @@ Resources:
                                 "tree_method":"hist",
                                 "num_round": "500",
                                 "subsample": "0.8",
+                                "seed": "123" ,
                                 "early_stopping_rounds": "10"
                             }
                         }
diff --git a/notebook/coxph/CustomerLifecycle.png b/notebook/coxph/CustomerLifecycle.png
new file mode 100644
index 0000000000000000000000000000000000000000..ecf8d882a9fa9dc842b15d66331062b1be6367a9
GIT binary patch
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diff --git a/notebook/coxph/Example_Churn_Surv.ipynb b/notebook/coxph/Example_Churn_Surv.ipynb
new file mode 100644
index 0000000..e3c4823
--- /dev/null
+++ b/notebook/coxph/Example_Churn_Surv.ipynb
@@ -0,0 +1,1347 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Retain Customers with Time to Event Modeling Driven Intervention\n",
+    "## Pinpointing Customer Churn at the Right Time using XGBoost\n",
+    "\n",
+    "It usually costs more to acquire a customer than it does to retain a customer.\n",
+    "\n",
+    "Focusing on customer retention enables companies to maximize customer revenue over their lifetime.\n",
+    "\n",
+    "This blog post will show you how to train a model to predict both the risk **and the time** of a customer attrition event using [XGBoost](https://github.com/dmlc/xgboost).\n",
+    "\n",
+    "Combined with a [production-level end-to-end Machine Learning pipeline](https://towardsdatascience.com/deploying-a-scalable-end-to-end-customer-churn-prediction-solution-with-aws-cbf3536be996) like [Customer Churn Pipeline on AWS\n",
+    "](https://github.com/awslabs/aws-customer-churn-pipeline) that has time to event churn modeling baked in, this allows for timely interventions to stop attrition."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"CustomerLifeCycle.png\" width=\"500\" height=\"200\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Customer attrition or simply [churn](https://en.wikipedia.org/wiki/Customer_attrition) is when a customer 'leaves' before maximal revenue is achieved. Stopping these events to retain revenue is so established that churn-based models are one of the very first machine learning solutions that go into production.\n",
+    "\n",
+    "However, these models are seldom done optimally as they rely on binary classification flags (churn yes or no). Churn classification models do not tell **WHEN** a customer is likely to leave but only indicate that it’s going to happen within a certain number of days or months.\n",
+    "\n",
+    "This blog post will present how to measure churn risk **during a customer's lifecycle** to find the **point in time** churn intervention is needed."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Paradigm Shift: from Event Only to Timely Intervention\n",
+    "\n",
+    "A good reason churn models could be better is that many are set on arbitrary time threshold for a fixed binary outcome.\n",
+    "This means that time is held constant!\n",
+    "For example, setting an arbitrary threshold that after 40 days of inactivity a customer churns.\n",
+    "\n",
+    "Flagging customers based on such heuristics leads to slippage, mainly:\n",
+    "\n",
+    "* Customers churning before the threshold.\n",
+    "* Customers that churn far, far after the threshold.\n",
+    "* Ignores customer lifetime differences\n",
+    "\n",
+    "It is probably a mistake to treat a customer that is at risk of leaving in 40 days the same as a customer that remains for over a 100 days. Traditional churn modeling does not make this differentiation. \n",
+    "\n",
+    "For example, in the chart below, Customer B is captured accurately by the model because they leave at the exact point in time that the threshold was set (40 days). Customer A actually churns after the threshold and they are lost because the model is not able to account for them. Customer C did the opposite, staying on far longer than the data time window. They will most likely churn but we cannot model for when with a classification model."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"TraditionalChurn.png\" width=\"500\" height=\"200\">\n",
+    "\n",
+    "The only point in time here is the \"within 40 days\" threshold. As it fails to account for time, we have no clear idea at what point a marketing intervention is needed and it causes preventable customer attrition."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Re-framing the Problem to Know *When*\n",
+    "\n",
+    "Rather then use a binary classifier, we are going to re-frame the problem as time-dependent one. This enables us to intervene at the right time to stop customer attrition before it happens.\n",
+    "\n",
+    "No longer relying on thresholds, we now set churn as continuous time conditioned event.\n",
+    "\n",
+    "As the below graph shows, we now know the **time** that attrition **risk** is most likely to happen.\n",
+    "\n",
+    "<img src=\"InterventionChurn.png\" width=\"500\" height=\"200\">\n",
+    "\n",
+    "No longer is time held constant, we now track risk **over time** to determine when a marketing intervention is needed to retain the customer.\n",
+    "\n",
+    "If we model for both the time and event, the right moment to intervene and prevent attrition is apparent.\n",
+    "\n",
+    "A modeling technique called [Survival Analysis](https://en.wikipedia.org/wiki/Survival_analysis) allows for us to do this and with the advent of modern Machine Learning, it's now a trivial task.\n",
+    "\n",
+    "A dive deep of Survival Analysis and the maths behind, is out scope and we encourage you to look at all the [great posts on Medium's Toward Data Science for more information](https://towardsdatascience.com/search?q=survival)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2\n",
+    "%matplotlib inline\n",
+    "\n",
+    "import xgboost as xgb\n",
+    "import shap\n",
+    "import sksurv.metrics as surv_metrics\n",
+    "from sksurv.datasets import get_x_y\n",
+    "from lifelines import KaplanMeierFitter\n",
+    "from lifelines.plotting import plot_lifetimes\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "from matplotlib import pyplot as plt\n",
+    "from sklearn.compose import ColumnTransformer\n",
+    "from sklearn.exceptions import DataConversionWarning\n",
+    "from sklearn.impute import SimpleImputer\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
+    "\n",
+    "\n",
+    "\n",
+    "plt.rcParams['figure.figsize'] = [7.2, 4.8]\n",
+    "pd.set_option(\"display.float_format\", lambda x: \"%.4f\" % x)\n",
+    "\n",
+    "sns.set_style('darkgrid')\n",
+    "\n",
+    "SEED = 123"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## A Quick Glimpse at the Data\n",
+    "\n",
+    "In this example, you will use a synthetic churn dataset for an imaginary telecommunications company with the outcome Churn? flagged as as either True (churned) or False (did not churn). Features include customer details such as plan and usage information. The churn dataset is publicly available and mentioned in the book [Discovering Knowledge in Data by Daniel T. Larose](https://www.amazon.com/dp/0470908742/). It is attributed by the author to the University of California Irvine Repository of Machine Learning Datasets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"../../data/churn.txt\")\n",
+    "\n",
+    "# clean up the column names\n",
+    "new_col_names = [s.lower().replace(\" \",\"_\").replace(\"'\",\"\") for s in df.columns.tolist()]\n",
+    "df.columns = new_col_names\n",
+    "\n",
+    "# remove id and set area code as categorical\n",
+    "del df['phone']\n",
+    "df['area_code'] = df['area_code'].astype('category')\n",
+    "\n",
+    "# denoting churn and duration\n",
+    "df[\"event\"] = np.where(df[\"churn?\"] == \"False.\", 0, 1)\n",
+    "df = df.rename(columns={\"account_length\": \"duration\"})\n",
+    "\n",
+    "del df['churn?']\n",
+    "\n",
+    "df = df.dropna()\n",
+    "df = df.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>state</th>\n",
+       "      <th>duration</th>\n",
+       "      <th>area_code</th>\n",
+       "      <th>intl_plan</th>\n",
+       "      <th>vmail_plan</th>\n",
+       "      <th>vmail_message</th>\n",
+       "      <th>day_mins</th>\n",
+       "      <th>day_calls</th>\n",
+       "      <th>day_charge</th>\n",
+       "      <th>eve_mins</th>\n",
+       "      <th>eve_calls</th>\n",
+       "      <th>eve_charge</th>\n",
+       "      <th>night_mins</th>\n",
+       "      <th>night_calls</th>\n",
+       "      <th>night_charge</th>\n",
+       "      <th>intl_mins</th>\n",
+       "      <th>intl_calls</th>\n",
+       "      <th>intl_charge</th>\n",
+       "      <th>custserv_calls</th>\n",
+       "      <th>event</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>PA</td>\n",
+       "      <td>163</td>\n",
+       "      <td>806</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>300</td>\n",
+       "      <td>8.1622</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7.5792</td>\n",
+       "      <td>3.9330</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6.5086</td>\n",
+       "      <td>4.0658</td>\n",
+       "      <td>100</td>\n",
+       "      <td>5.1116</td>\n",
+       "      <td>4.9282</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5.6732</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SC</td>\n",
+       "      <td>15</td>\n",
+       "      <td>836</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10.0190</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4.2263</td>\n",
+       "      <td>2.3250</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9.9726</td>\n",
+       "      <td>7.1410</td>\n",
+       "      <td>200</td>\n",
+       "      <td>6.4362</td>\n",
+       "      <td>3.2217</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2.5597</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>MO</td>\n",
+       "      <td>131</td>\n",
+       "      <td>777</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>300</td>\n",
+       "      <td>4.7085</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4.7682</td>\n",
+       "      <td>4.5375</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4.5667</td>\n",
+       "      <td>5.3632</td>\n",
+       "      <td>100</td>\n",
+       "      <td>5.1425</td>\n",
+       "      <td>7.1390</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6.2542</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>WY</td>\n",
+       "      <td>75</td>\n",
+       "      <td>878</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>700</td>\n",
+       "      <td>1.2687</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2.5676</td>\n",
+       "      <td>2.5287</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.3336</td>\n",
+       "      <td>3.7736</td>\n",
+       "      <td>450</td>\n",
+       "      <td>3.8144</td>\n",
+       "      <td>2.2458</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1.0807</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>WY</td>\n",
+       "      <td>146</td>\n",
+       "      <td>878</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.6962</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5.9089</td>\n",
+       "      <td>6.0153</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.6704</td>\n",
+       "      <td>3.7517</td>\n",
+       "      <td>250</td>\n",
+       "      <td>2.7968</td>\n",
+       "      <td>6.9055</td>\n",
+       "      <td>4</td>\n",
+       "      <td>7.1343</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  state  duration area_code intl_plan vmail_plan  vmail_message  day_mins  \\\n",
+       "0    PA       163       806        no        yes            300    8.1622   \n",
+       "1    SC        15       836       yes         no              0   10.0190   \n",
+       "2    MO       131       777        no        yes            300    4.7085   \n",
+       "3    WY        75       878       yes        yes            700    1.2687   \n",
+       "4    WY       146       878       yes         no              0    2.6962   \n",
+       "\n",
+       "   day_calls  day_charge  eve_mins  eve_calls  eve_charge  night_mins  \\\n",
+       "0          3      7.5792    3.9330          4      6.5086      4.0658   \n",
+       "1          4      4.2263    2.3250          0      9.9726      7.1410   \n",
+       "2          3      4.7682    4.5375          3      4.5667      5.3632   \n",
+       "3          3      2.5676    2.5287          5      2.3336      3.7736   \n",
+       "4          3      5.9089    6.0153          3      3.6704      3.7517   \n",
+       "\n",
+       "   night_calls  night_charge  intl_mins  intl_calls  intl_charge  \\\n",
+       "0          100        5.1116     4.9282           6       5.6732   \n",
+       "1          200        6.4362     3.2217           6       2.5597   \n",
+       "2          100        5.1425     7.1390           2       6.2542   \n",
+       "3          450        3.8144     2.2458           6       1.0807   \n",
+       "4          250        2.7968     6.9055           4       7.1343   \n",
+       "\n",
+       "   custserv_calls  event  \n",
+       "0               3      1  \n",
+       "1               8      0  \n",
+       "2               4      0  \n",
+       "3               6      0  \n",
+       "4               6      1  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Examining our targets further shows that, there are a total of 5,000 records of which 49.9% end up churning.\n",
+    "\n",
+    "The dataset is balanced on the target. In real world data, this is not always the case and a churn event could be 1% out of millions records.\n",
+    "\n",
+    "There's strategies to remedy that but it's out of scope for this blog post.\n",
+    "\n",
+    "Looking at the duration, represented as the Account Length (our time component), it shows that the median time is 102 days, which is close to the average of 101 days."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total Records: 5000 \n",
+      "\n",
+      "Percent Churn Rate: 0.4996\n",
+      "\n",
+      "Duration Intervals\n",
+      "count   5000.0000\n",
+      "mean     101.6758\n",
+      "std       57.5968\n",
+      "min        1.0000\n",
+      "25%       52.0000\n",
+      "50%      102.0000\n",
+      "75%      151.0000\n",
+      "max      200.0000\n",
+      "Name: duration, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Total Records:\",df.shape[0],\"\\n\")\n",
+    "print(\"Percent Churn Rate:\",df.event.mean())\n",
+    "print(\"\")\n",
+    "print(\"Duration Intervals\")\n",
+    "print(df['duration'].describe())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For Survival models data is different form traditional classification problem and requires:\n",
+    "\n",
+    "* A Censor - For our purposes these are customers who've yet to churn. [Read about right censoring here](https://en.wikipedia.org/wiki/Survival_analysis#Censoring).\n",
+    "* Duration - The duration or time $t$ of the customer's activity. In this case, it's `Account Length` in days.\n",
+    "* Event - The binary target, in this case if they terminated their phone plan marked by `Churn?`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can plot the first 10 customers on timeline to understand how [right censored](https://en.wikipedia.org/wiki/Censoring_(statistics)#:~:text=Right%20censoring%20%E2%80%93%20a%20data%20point,subjects%20remaining%20are%20right%2Dcensored.) data works and the problem is framed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 518.4x345.6 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = plot_lifetimes(df.head(10)['duration'], df.head(10)['event'])\n",
+    "\n",
+    "_=ax.set_xlabel(\"Duration: Account Length (days)\")\n",
+    "_=ax.set_ylabel(\"Customer Number\")\n",
+    "_=ax.set_title(\"Observed Customer Attrition\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the above plot, the red lines indicates when a customer has left with the dots indicating the specific point in time.\n",
+    "Blue lines are customers that are still active up to the time measured on the x-axis in Duration. \n",
+    "\n",
+    "Here we see that customer number 8 did not attrit until up to 195 days, with customer numbers 0 and 4 leaving in 163 and 146 days respectively.  All other customers are still active.\n",
+    "\n",
+    "Notice how all customers are set on the same time scale because the data is **analytically aligned**.\n",
+    " \n",
+    "Each customer might have come in at different times but we've set the days as the same. This is what allowed us to right-censor the data on the churn event.\n",
+    "\n",
+    "Real world data needs both censoring and aligning before modeling can begin."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The Risk of Churn\n",
+    "\n",
+    "A more informative approach might be to estimate the [Survival Function](https://en.wikipedia.org/wiki/Survival_function) or the time in days a customer has until they attrit.\n",
+    "\n",
+    "For this purpose, we will use a [Kaplan Meier Estimator](http://en.wikipedia.org/wiki/Kaplan%E2%80%93Meier_estimator) to calculate how long until attrition occurs.\n",
+    "\n",
+    "The estimator is defined as:\n",
+    "\n",
+    "$$\\hat{S}(t) = \\prod_{t_i \\lt t} \\frac{n_i - d_i}{n_i}$$\n",
+    "\n",
+    "Where 𝑑𝑖 are the number of churn events at time 𝑡 and 𝑛𝑖 is the number of customers at risk of churn just prior to time 𝑡.\n",
+    "\n",
+    "We will use the great [python package lifelines](https://github.com/CamDavidsonPilon/lifelines) to do plot the Survival Function as the function is a component of the final churn model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 518.4x345.6 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "kmf = KaplanMeierFitter()\n",
+    "\n",
+    "kmf.fit(df['duration'], event_observed=df['event'])\n",
+    "\n",
+    "kmf.plot_survival_function()\n",
+    "_=plt.title('Survival Function for Telco Churn');\n",
+    "_=plt.xlabel(\"Duration: Account Length (days)\")\n",
+    "_=plt.ylabel(\"Churn Risk (Percent Churned)\")\n",
+    "_=plt.axvline(x=kmf.median_survival_time_, color='r', linestyle='--')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's look at the median survival time. This is the point by which half of customers have churned out.\n",
+    "\n",
+    "According to this graph, where it's marked by the red dotted line, by about 152 days half of customers churn.\n",
+    "\n",
+    "This is helpful because it gives *overall* baseline when intervention is needed.\n",
+    "\n",
+    "However, for each individual customer this is uninformative.\n",
+    "\n",
+    "What is missing is **the point in time** in which churn risk is highest for *each* customer.\n",
+    "\n",
+    "For that we will create a model using [Cox's Proportional Hazard](https://en.wikipedia.org/wiki/Survival_analysis#Cox_proportional_hazards_(PH)_regression_analysis) which uses a log-risk function $h(x)$.\n",
+    "\n",
+    "The Hazard function is conditioned on rate of a customers remaining until time t or later, this allows to estimate the risk of churn **overtime**.\n",
+    "\n",
+    "This will enable us to score **each customer** and anticipate when a marketing intervention is needed.\n",
+    "\n",
+    "However, before we proceed to that, we need to preprocess the data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Data Splitting and Preprocessing\n",
+    "\n",
+    "First we will split the data into training and testing. We'll use the testing set as the validation for the example.\n",
+    "In practice, you want all three of these splits so that you don't tune to the validation set.\n",
+    "\n",
+    "Next, we take the numeric features and categorical features and then preprocess them for downstream modeling.\n",
+    "\n",
+    "In the case of categories, we will first impute with the constant and then simply one-hot encode them.\n",
+    "\n",
+    "In the case of numerics, we will fill with the median then standardize them between values of 0 and 1.\n",
+    "\n",
+    "This is all wrapped into Sklearn's [Pipeline](https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html) and [ColumnTransformer](https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html?highlight=columntransformer#sklearn.compose.ColumnTransformer) for simplicity's sake.\n",
+    "\n",
+    "As part of the [Churn Pipeline](https://github.com/awslabs/aws-customer-churn-pipeline) all these steps are included with the final preprocessor saved for use at inference time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_train, df_test = train_test_split(df , test_size=0.20, random_state=SEED)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "numerical_idx = (\n",
+    "        df_train.select_dtypes(exclude=[\"object\", \"category\"])\n",
+    "        .drop(['event','duration'],1)\n",
+    "        .columns.tolist()\n",
+    "    )\n",
+    "\n",
+    "categorical_idx = df_train.select_dtypes(exclude=[\"float\", \"int\"]).columns.tolist()\n",
+    "\n",
+    "numeric_transformer = Pipeline(\n",
+    "        steps=[\n",
+    "            (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
+    "            (\"scaler\", StandardScaler()),\n",
+    "        ]\n",
+    "    )\n",
+    "\n",
+    "categorical_transformer = Pipeline(\n",
+    "        steps=[\n",
+    "            (\"imputer\", SimpleImputer(strategy=\"constant\", fill_value=\"missing\")),\n",
+    "            (\"onehot\", OneHotEncoder(sparse=False, handle_unknown=\"ignore\")),\n",
+    "        ]\n",
+    "    )\n",
+    "\n",
+    "preprocessor = ColumnTransformer(\n",
+    "        [\n",
+    "            (\"numerical\", numeric_transformer, numerical_idx),\n",
+    "            (\"categorical\", categorical_transformer, categorical_idx),\n",
+    "        ],\n",
+    "        remainder=\"passthrough\",\n",
+    "    )\n",
+    "\n",
+    "train_features = preprocessor.fit_transform(df_train.drop(['event','duration'],1))\n",
+    "test_features = preprocessor.transform(df_test.drop(['event','duration'],1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Converting the Traget for XGBoost\n",
+    "\n",
+    "We will use the [DMatrix](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.DMatrix) format for XGBoost to run through the regular, non-scikit API.\n",
+    "\n",
+    "In the case of using the survival function - this requires a transformation of the predictor.\n",
+    "\n",
+    "For vanilla XGBoost this entails setting duration as the target and then making it positive for events and negative for non-events.\n",
+    "\n",
+    "Rather than having a tuple of event and duration, this gives your positive/negative single continuous variable as the target.\n",
+    "\n",
+    "Lastly extract feature names from our pipeline for later use in model explainability.\n",
+    "\n",
+    "For more about how Survival works in XGBoost see this [tutorial](https://xgboost.readthedocs.io/en/latest/tutorials/aft_survival_analysis.html). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def survival_y_cox(dframe:pd.DataFrame) -> np.array:\n",
+    "    \"\"\"Returns array of outcome encoded for XGB\"\"\"\n",
+    "    y_survival = []\n",
+    "\n",
+    "    for idx, row in dframe[[\"duration\", \"event\"]].iterrows():\n",
+    "        if row[\"event\"]:\n",
+    "            # uncensored\n",
+    "            y_survival.append(int(row[\"duration\"]))\n",
+    "        else:\n",
+    "            # right censored\n",
+    "            y_survival.append(-int(row[\"duration\"]))\n",
+    "    return np.array(y_survival)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "feature_names = np.hstack((np.array(numerical_idx),\n",
+    "                           preprocessor.transformers_[1][1]['onehot'].get_feature_names()))\n",
+    "\n",
+    "dm_train = xgb.DMatrix(\n",
+    "    train_features, label=survival_y_cox(df_train), feature_names=feature_names\n",
+    ")\n",
+    "\n",
+    "dm_test = xgb.DMatrix(\n",
+    "    test_features, label=survival_y_cox(df_test), feature_names=feature_names\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## More on the Hazard Function\n",
+    "\n",
+    "The hazard function provides customer attrition **risk** - telling us when churn is most likely to happen.\n",
+    "\n",
+    "Whereas the Survival function S(t) returns the probability of churn beyond a point of time $S(t) = P(T > t)\\$, the Hazard function h(t) instead gives an approximate probability of that customer stays up to the time t such that:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "$$h(t) = \\lim_{\\Delta t \\rightarrow 0} \\frac{P(t \\leq T &lt; t + \\Delta t \\mid T \\geq t)}{\\Delta t} \\geq 0 .\\$$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "On a side note, with the Hazard function, it is also possible to get the survival function because:\n",
+    "\n",
+    "$\\begin{equation*}\n",
+    "S(t) = \\exp\\left(- \\int_{0}^{t} h(u) du \\right)\n",
+    "\\end{equation*}$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Gradient Boosting and Cox’s Partial Likelihood\n",
+    "\n",
+    "In the case of Gradient Boosting multiple base learners are combined to obtain boosted overall ensemble of learners defined as an additive model of:\n",
+    "\n",
+    "$\\begin{equation}\n",
+    "f(\\mathbf{x}) = \\sum_{m=1}^M \\beta_m g(\\mathbf{x}; {\\theta}_m),\n",
+    "\\end{equation}$\n",
+    "\n",
+    "For the Survival analysis case, the objective is to maximize the log partial likelihood function, but replacing the traditional linear model $f(x)$ with the additive model:\n",
+    "\n",
+    "$\\begin{equation}\n",
+    "  \\arg \\min_{f} \\quad \\sum_{i=1}^n \\delta_i \\left[ f(\\mathbf{x}_i)\n",
+    "- \\log \\left( \\sum_{j \\in \\mathcal{R}_i} \\exp(f(\\mathbf{x}_j)) \\right) \\right] \n",
+    "\\end{equation}$\n",
+    "\n",
+    "For more on this see this [excellent tutorial for python library Scikit-Survival](https://scikit-survival.readthedocs.io/en/latest/user_guide/boosting.html)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The normal parameters all apply here with the exception that we've changed the `objective` to `surivial:cox` this will allow for training a boosted survival tree."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0]\ttrain-cox-nloglik:7.25501\ttest-cox-nloglik:5.86755\n",
+      "[10]\ttrain-cox-nloglik:7.00306\ttest-cox-nloglik:5.59962\n",
+      "[20]\ttrain-cox-nloglik:6.91366\ttest-cox-nloglik:5.49806\n",
+      "[30]\ttrain-cox-nloglik:6.86444\ttest-cox-nloglik:5.44991\n",
+      "[40]\ttrain-cox-nloglik:6.83705\ttest-cox-nloglik:5.43687\n",
+      "[50]\ttrain-cox-nloglik:6.81648\ttest-cox-nloglik:5.42424\n",
+      "[60]\ttrain-cox-nloglik:6.79757\ttest-cox-nloglik:5.42385\n",
+      "[70]\ttrain-cox-nloglik:6.78127\ttest-cox-nloglik:5.41936\n",
+      "[80]\ttrain-cox-nloglik:6.75929\ttest-cox-nloglik:5.41047\n",
+      "[90]\ttrain-cox-nloglik:6.74249\ttest-cox-nloglik:5.40701\n",
+      "[100]\ttrain-cox-nloglik:6.73142\ttest-cox-nloglik:5.40504\n",
+      "[110]\ttrain-cox-nloglik:6.71863\ttest-cox-nloglik:5.40143\n",
+      "[120]\ttrain-cox-nloglik:6.70495\ttest-cox-nloglik:5.39802\n",
+      "[130]\ttrain-cox-nloglik:6.69283\ttest-cox-nloglik:5.39483\n",
+      "[140]\ttrain-cox-nloglik:6.68125\ttest-cox-nloglik:5.39092\n",
+      "[150]\ttrain-cox-nloglik:6.67124\ttest-cox-nloglik:5.39253\n",
+      "[151]\ttrain-cox-nloglik:6.67063\ttest-cox-nloglik:5.39344\n"
+     ]
+    }
+   ],
+   "source": [
+    "params = {\n",
+    "    \"eta\": 0.1,\n",
+    "    \"max_depth\": 3, \n",
+    "    \"objective\": \"survival:cox\",\n",
+    "    \"tree_method\": \"hist\",\n",
+    "    \"subsample\": 0.8,\n",
+    "    \"seed\": 123\n",
+    "}\n",
+    "bst = xgb.train(\n",
+    "    params,\n",
+    "    dm_train,\n",
+    "    num_boost_round=300,\n",
+    "    evals=[(dm_train, \"train\"), (dm_test, \"test\")],\n",
+    "    verbose_eval=int(1e1),\n",
+    "    early_stopping_rounds=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### A Note On Predictions\n",
+    "\n",
+    "Predictions for this model are are returned on the hazard ratio scale. \n",
+    "\n",
+    "(i.e., as HR = exp(marginal_prediction) in the proportional hazard function h(t) = h0(t) * HR).\n",
+    "\n",
+    "This means that the output can come out either as the exponentiated marginal prediction or as the non-exponentiated version.\n",
+    "\n",
+    "For predicting when churn is most likely to occur we will want the exponentiated version as it intuits to a probability (even though it's not really one technically speaking).\n",
+    "\n",
+    "For more on this see [how output happens see](https://datascience.stackexchange.com/questions/52097/what-is-the-outcome-of-a-cox-regression-in-xgboost)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture \n",
+    "\n",
+    "df_test.loc[:,\"preds\"] = bst.predict(dm_test, output_margin=True) \n",
+    "df_test.loc[:, \"preds_exp\"] = bst.predict(dm_test, output_margin=False) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can then take the scores Hazard scores or the probability of churn conditioned on time $t$ (in this case Account Length), and look at overall when churn is most likely to occur.\n",
+    "\n",
+    "Bucketing the values into time periods shows that the highest churn risk happens at days 53 to 62.\n",
+    "\n",
+    "Following this period, the most likely times for attrition are at days 80 to 102.\n",
+    "\n",
+    "In practice, you should ignore the final bar from days 191 to 200 as this is the point of truncation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 518.4x345.6 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_=df_test.groupby(pd.qcut(df_test['duration'], q=20))['preds_exp'].median().plot(kind=\"bar\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Evaluating Performance\n",
+    "\n",
+    "In the case of Surivavl Models [Harrell’s Concordance Index](https://statisticaloddsandends.wordpress.com/2019/10/26/what-is-harrells-c-index/) and [Brier Score](https://en.wikipedia.org/wiki/Brier_score) are commonly used to evaluate survival models.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Harrell’s Concordance Index (Harrell et al. 1982)\n",
+    "\n",
+    "The **concordance index** or **C-index** is a generalization of the [area under the ROC curve (AUC)](https://en.wikipedia.org/wiki/Receiver_operating_characteristic) that can take into account censored data. \n",
+    "\n",
+    "It should be thought of as a goodness of fit measure for models which baselines the model’s ability to correctly provide a reliable ranking of the survival times based on the individual risk scores. \n",
+    "\n",
+    "**Values of *C = 0.5* indicate that risk scores are no better than a coin flip.**\n",
+    "\n",
+    "This is expressed as as the # of concordiant pairs / (# of concordiant pairs + # of discordiant pairs) or:\n",
+    "\n",
+    "$$\\begin{equation}\n",
+    "    \\text{C-index} = \\frac{ \\sum_{i, j} \\mathbb{1}_{T_j < T_i} \\cdot \\mathbb{1}_{\\eta_j > \\eta_i} \\cdot \\delta_j }{\\sum_{i, j} \\mathbb{1}_{T_j < T_i}\\cdot \\delta_j }\n",
+    "\\end{equation}$$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "with:\n",
+    "$\\eta_i$, the risk score of a unit $i$ \n",
+    "$\\mathbb{1}_{ T_j < T_i } = 1$ if $T_j < T_i$ else $0$ \n",
+    "$\\mathbb{1}_{ \\eta_j > \\eta_i } =  1$ if  $\\eta_j > \\eta_i$ else $0$ "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Brier Score (Brier 1950)\n",
+    "\n",
+    "The Brier score is used to evaluate the accuracy of a predicted survival function at a given time $t$ it represents the <em>average squared distances between the observed survival status and the predicted survival probability and is always a number between 0 and 1, with 0 being the best possible value. \n",
+    "\n",
+    "**The lower the Brier score is for a set of predictions, the better the predictions are calibrated.**\n",
+    "**An acceptable baseline is 0.25**\n",
+    "\n",
+    "Given a dataset of N samples,  $$\\forall i \\in  [\\![1, N ]\\!],  \\left(\\vec{x}_i, \\delta_i, T_i \\right)$$ is the format of a datapoint, and the predicted survival function is $$\\hat{S}(t, \\vec{x}_i), \\forall t \\in \\mathbb{R^+}$$\n",
+    "\n",
+    "In the absence of right censoring, the Brier score can be calculated such that:\n",
+    "        $$\\begin{equation}\n",
+    "            BS(t) = \\frac{1}{N} \\sum_{i = 1}^{N} (\\mathbb{1}_{ T_i > t } - \\hat{S}(t, \\vec{x}_i))^2\n",
+    "        \\end{equation}$$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "However, if the dataset contains samples that are right censored, then it is necessary to adjust the score by weighting.\n",
+    "\n",
+    "That's where [Scikit-Survival's Brier Score metric](https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.metrics.brier_score.html) comes to the rescue.\n",
+    "\n",
+    "As stated in their docs, the time-dependent Brier score is the mean squared error at time point t\n",
+    "\n",
+    "$\\mathrm{BS}^c(t) = \\frac{1}{n} \\sum_{i=1}^n I(y_i \\leq t \\land \\delta_i = 1)\n",
+    "\\frac{(0 - \\hat{\\pi}(t | \\mathbf{x}_i))^2}{\\hat{G}(y_i)} + I(y_i > t)\n",
+    "\\frac{(1 - \\hat{\\pi}(t | \\mathbf{x}_i))^2}{\\hat{G}(t)}$\n",
+    "\n",
+    "where $\\hat{\\pi}(t | \\mathbf{x})$ is the predicted probability of\n",
+    "remaining event-free up to time point $t$ for a feature vector $x$,\n",
+    "and $1/\\hat{G}(t)$ is an inverse probability of censoring weight, estimated by\n",
+    "the Kaplan-Meier estimator.\n",
+    "\n",
+    "That means the measurement is now adjusted for right censored data, and is thus more accurate.\n",
+    "\n",
+    "Let's score the model!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CIC\n",
+      "(0.7514910949902487, 177342, 58706, 0, 1218)\n",
+      "\n",
+      "Brier Score\n",
+      "[0.37630957]\n"
+     ]
+    }
+   ],
+   "source": [
+    "_, y_train = get_x_y(df_train,['event','duration'],pos_label=True)\n",
+    "_, y_test = get_x_y(df_test,['event','duration'],pos_label=True)\n",
+    "\n",
+    "del _\n",
+    "\n",
+    "print(\"CIC\")\n",
+    "print(\n",
+    "    surv_metrics.concordance_index_ipcw(\n",
+    "       y_train,\n",
+    "       y_test,\n",
+    "      df_test['preds'],\n",
+    "        tau=100 # within 100 days\n",
+    "    )\n",
+    ")\n",
+    "\n",
+    "print(\"\")\n",
+    "print(\"Brier Score\")\n",
+    "\n",
+    "times, score = surv_metrics.brier_score(\n",
+    "y_train,y_test, df_test['preds'], df_test['duration'].max() - 1\n",
+    ")\n",
+    "print(score)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "These results are okay given that the data was not prepared with survival analysis in mind :)\n",
+    "    \n",
+    "The Concordance Index comes out to 0.74 which is better than simple random chance.\n",
+    "\n",
+    "The Brier Score is 0.33 which is not so great. Ideally, we'd want it to be 0.25 or lower as the [Pysurvival documentation indicates](https://square.github.io/pysurvival/metrics/brier_score.html).\n",
+    "\n",
+    "There are other ways to evaluate this further.\n",
+    "\n",
+    "For example, the [Scikit-survival](https://github.com/sebp/scikit-survival) package offers a wide variety of metrics for evaluation such as the [Time dependent Area under the ROC](https://scikit-survival.readthedocs.io/en/stable/user_guide/evaluating-survival-models.html#Time-dependent-Area-under-the-ROC) and more."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Model Explainability with SHAP\n",
+    "\n",
+    "The good news is that [SHAP (SHapley Additive exPlanations](https://github.com/slundberg/shap)  provides a high-speed exact algorithm for tree-based ensembles to help explain feature importance within the model.\n",
+    "\n",
+    "Specifically, it will allow for use to understand what raises and lowers attrition risk for customers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x684 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer = shap.TreeExplainer(bst, feature_names=feature_names)\n",
+    "shap_values = explainer.shap_values(test_features) \n",
+    "\n",
+    "shap.summary_plot(shap_values, pd.DataFrame(test_features, columns=feature_names))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Moreover, we now have an explanation at the customer level of how each churn risk score is calculated. \n",
+    "This can help inform intervention strategies choices. For example, night charges, night calls and evening minutes all drive customer attrition. Adding in the daily minutes (as a positive predictor) shows that clearly customers making calls in the evening or at night are at higher risk. This could go into an intervention strategy by setting intervention communications to go out to at risk customers during the night and evening.\n",
+    "\n",
+    "\n",
+    "This provides details that are easy to show for business users and ways in which to further analyze what features drive customer attrition."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x216 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The real label is Churn=False\n"
+     ]
+    }
+   ],
+   "source": [
+    "idx_sample = 128\n",
+    "shap.force_plot(\n",
+    "    explainer.expected_value,\n",
+    "    shap_values[idx_sample, :],\n",
+    "    pd.DataFrame(test_features, columns=feature_names).iloc[idx_sample, :],\n",
+    "    matplotlib=True,\n",
+    ")\n",
+    "\n",
+    "print(f\"The real label is Churn={y_test[idx_sample][0]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Lastly, since this is a tree-based model we can also plot what the tree(s) look like.\n",
+    "\n",
+    "Though we set up to 100 trees to train, early stopping set in and the best iteration for the run was 67 trees.\n",
+    "\n",
+    "Let's just take the first tree and look at it's splits to judge to understand how inference is run."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 10800x7200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xgb.plot_tree(bst, rankdir=\"LR\", num_trees=0)\n",
+    "fig = plt.gcf()\n",
+    "fig.set_size_inches(150, 100)\n",
+    "fig.savefig(\"tree.png\", bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Unsurprisingly, the most predictive features are the ones that it split on first.\n",
+    "\n",
+    "In this case, that means night charge, night calls, day minutes and evening minutes.\n",
+    "\n",
+    "Obviously, this tree also is a great way to demonstrate what your model is doing for business users to understand."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# The Final Check\n",
+    "\n",
+    "For our final check we will treat the problem as a classifier just because we can.\n",
+    "\n",
+    "Since the model itself is conditioned on time, these aren't really good metrics to evaluate how *technically* well it's doing.\n",
+    "\n",
+    "We are simply running this for the naysayers and to show that it works."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy score: 0.932\n",
+      "Area Under the Curve 0.9339674490815218\n",
+      "\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.97      0.90      0.93       527\n",
+      "           1       0.89      0.97      0.93       473\n",
+      "\n",
+      "    accuracy                           0.93      1000\n",
+      "   macro avg       0.93      0.93      0.93      1000\n",
+      "weighted avg       0.94      0.93      0.93      1000\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn import metrics\n",
+    "\n",
+    "y_preds = df_test.preds.apply(lambda x : np.exp(x))\n",
+    "y_pred = np.where(y_preds > 0.5, 1, 0)\n",
+    "\n",
+    "print(f\"Accuracy score: {metrics.accuracy_score(df_test.event, y_pred)}\")\n",
+    "print(f\"Area Under the Curve {metrics.roc_auc_score(df_test.event, y_pred)}\")\n",
+    "print(\"\")\n",
+    "print(metrics.classification_report(df_test.event, y_pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Amazingly, the model gets better results then the [reported 86% accuracy when this dataset first appeared in the blogosphere in 2017](https://aws.amazon.com/blogs/machine-learning/predicting-customer-churn-with-amazon-machine-learning/).\n",
+    "\n",
+    "Not only do we have accuracy but we can identify **WHEN**.\n",
+    "This allows for timely marketing intervention to retain customers. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This blog post showed how to train a churn model with a time component.\n",
+    "\n",
+    "Using the Survival Analysis with Cox Proportional Hazard allows us circumvent customer attrition by pinpointing when it's risk is the highest.\n",
+    "\n",
+    "This allows for a proactive, point in time intervention to stop customers from leaving.\n",
+    "\n",
+    "Now that you have model a it's time to work on productionizing like with the [Customer Churn Pipeline on AWS](https://github.com/awslabs/aws-customer-churn-pipeline) which includes a template for Time to Event modeling for churn. \n",
+    "\n",
+    "Once the pipeline is configured, you can run inference on records over time accumulating scores with batch inference to make intervention decisions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>10</th>\n",
+       "      <th>20</th>\n",
+       "      <th>30</th>\n",
+       "      <th>40</th>\n",
+       "      <th>50</th>\n",
+       "      <th>60</th>\n",
+       "      <th>70</th>\n",
+       "      <th>80</th>\n",
+       "      <th>90</th>\n",
+       "      <th>100</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Customer A</th>\n",
+       "      <td>1.0816</td>\n",
+       "      <td>-0.2466</td>\n",
+       "      <td>0.9721</td>\n",
+       "      <td>0.1023</td>\n",
+       "      <td>-0.9279</td>\n",
+       "      <td>-0.3164</td>\n",
+       "      <td>-1.2483</td>\n",
+       "      <td>-0.0722</td>\n",
+       "      <td>1.1304</td>\n",
+       "      <td>2.0311</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Customer B</th>\n",
+       "      <td>-0.7480</td>\n",
+       "      <td>-1.6873</td>\n",
+       "      <td>3.0243</td>\n",
+       "      <td>0.4243</td>\n",
+       "      <td>-0.3449</td>\n",
+       "      <td>0.6505</td>\n",
+       "      <td>0.7276</td>\n",
+       "      <td>-0.4460</td>\n",
+       "      <td>0.6338</td>\n",
+       "      <td>-1.2768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Customer C</th>\n",
+       "      <td>0.0329</td>\n",
+       "      <td>0.0069</td>\n",
+       "      <td>1.4743</td>\n",
+       "      <td>-0.1613</td>\n",
+       "      <td>-1.6458</td>\n",
+       "      <td>1.0538</td>\n",
+       "      <td>0.4379</td>\n",
+       "      <td>0.0361</td>\n",
+       "      <td>-2.1493</td>\n",
+       "      <td>-0.7862</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                10      20     30      40      50      60      70      80   \\\n",
+       "Customer A   1.0816 -0.2466 0.9721  0.1023 -0.9279 -0.3164 -1.2483 -0.0722   \n",
+       "Customer B  -0.7480 -1.6873 3.0243  0.4243 -0.3449  0.6505  0.7276 -0.4460   \n",
+       " Customer C  0.0329  0.0069 1.4743 -0.1613 -1.6458  1.0538  0.4379  0.0361   \n",
+       "\n",
+       "                90      100  \n",
+       "Customer A   1.1304  2.0311  \n",
+       "Customer B   0.6338 -1.2768  \n",
+       " Customer C -2.1493 -0.7862  "
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scores = np.random.normal(size=30).reshape(3,10)\n",
+    "scores_df = pd.DataFrame(scores\n",
+    "                         , index=['Customer A', 'Customer B',' Customer C']\n",
+    "                         , columns=[10,20,30,40,50,60,70,80,90,100])\n",
+    "scores_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "(The above show a table accumulated results of batch jobs by customer over days. There is now a churn risk history of the customer to monitor and flag when to intervene)\n",
+    "\n",
+    "\n",
+    "The use of Machine Learning for Survival Analysis is a great way to frame problems such as churn.\n",
+    "We encourage you to look at the references links below for all the different techniques that are available."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    "\n",
+    "[Lifelines, Cameron Davidson-Pilon](https://github.com/CamDavidsonPilon/lifelines)\n",
+    "\n",
+    "[XGBoost: A Scalable Tree Boosting System, Chen & Guestrin 2016](https://github.com/dmlc/xgboost)\n",
+    "\n",
+    "[PySurvival: Open source package for Survival Analysis modeling, Fotso 2019](https://github.com/square/pysurvival/)\n",
+    "\n",
+    "[scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn, Sebastian Polsterl 2020](https://github.com/sebp/scikit-survival)\n",
+    "\n",
+    "[SHAP (SHapley Additive exPlanations), Lundberg 2017](https://github.com/slundberg/shap)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "churn-kernel",
+   "language": "python",
+   "name": "churn"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebook/coxph/TraditionalChurn.png b/notebook/coxph/TraditionalChurn.png
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