diff --git a/proglearn/deciders.py b/proglearn/deciders.py
index f854f1a912..e8a3a5a37b 100755
--- a/proglearn/deciders.py
+++ b/proglearn/deciders.py
@@ -35,7 +35,7 @@ def fit(
         classes=None,
     ):
         if self.classes == None and len(y) == 0:
-            raise ValueError("Classification Decider classes undefined with no class labels fed to 'fit')
+            raise ValueError("Classification Decider classes undefined with no class labels fed to fit")
         self.classes = self.classes if self.classes != None else np.unique(y)
         self.transformer_id_to_transformers = transformer_id_to_transformers
         self.transformer_id_to_voters = transformer_id_to_voters
diff --git a/proglearn/forest.py b/proglearn/forest.py
index addf269470..e802653cba 100644
--- a/proglearn/forest.py
+++ b/proglearn/forest.py
@@ -7,7 +7,7 @@
 from .voters import TreeClassificationVoter
 from .deciders import SimpleAverage
 
-class L2F:
+class LifelongClassificationForest:
     def __init__(self, n_estimators=100, tree_construction_proportion=0.67, finite_sample_correction=False):
         self.n_estimators = n_estimators
         self.tree_construction_proportion=tree_construction_proportion
diff --git a/proglearn/network.py b/proglearn/network.py
index d58cf93e06..df0839f03f 100644
--- a/proglearn/network.py
+++ b/proglearn/network.py
@@ -13,7 +13,7 @@
 from keras.optimizers import Adam
 from keras.callbacks import EarlyStopping
 
-class L2N:
+class LifelongClassificationNetwork:
     def __init__(
         self,
         network,