diff --git a/examples/decision_tree/main.py b/examples/decision_tree/main.py
index d7922e682c4f0c510cc14d463c8ca522d855a878..1b82988a33f5717f934beed0f664cebd47c0a3b5 100644
--- a/examples/decision_tree/main.py
+++ b/examples/decision_tree/main.py
@@ -18,13 +18,8 @@ data = SyntheticData(shuffle=False)
 
 config.X_train, config.X_test, config.y_train, config.y_test = data.generator()
 
-#instantiate model here.
-#finalModel = Models()
-
-
 testModel = decisionTreemodel(config.X_train, config.X_test, config.y_train, config.y_test, 9)
 
-#testModel1 = logisticRegressionModel(config.X_train, config.X_test, config.y_train, config.y_test, 9)
 
 #fit model using fit method on the model class