Cobra ROSboost for imbalance class problem

Dataset

pima-indian-diabetes:

file: pima-indians-diabetes.csv
--------------points
majority class 500
minority class 268

data:

file: data.csv
--------------points
majority class 950
minority class 50

Directory Structure

│   CoBra.pdf
│   README.md
|   SMOTEBoost results.pdf
│
├───Data
│       haberman.csv
│       pima-indians-diabetes.csv
|       data.csv 
│
├───Notebooks
│       Cobra.ipynb //implementation of COBRA
│       SmoteAdaBoostedCC.ipynb //implementation of AdaBoost, SMOTE and ROSBoost using SMOTE for oversampling
|       CreateDataset.ipynb //creates imbalanced dataset. data.csv containd data created using this code with 95% points in majority class. 
│
└───Scripts
        Boosting.py //implementation of AdaBoost, SMOTE and ROSBoost using SMOTE for oversampling
        CobraClassifier.py //implemenatation of COBRA
   

Results

SMOTEBoost results.pdf contains the results obtained. Results were obtained after applying ROSBoost using SMOTE on a cobra classifier made from 3 desision trees.




DISCLAIMER: This work is for learning purposes only. The work can not be used for publications or commercial products etc. without the mentor’s consent.