Final commit

Author: mahesh147

random_forest_classifier.py

@@ -27,7 +27,8 @@
 # Fitting the classifier into the Training set
 
 from sklearn.ensemble import RandomForestClassifier
-classifier = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 0)
+classifier = RandomForestClassifier(n_estimators = 200, criterion = 'entropy', random_state = 0)
+classifier.fit(X_Train,Y_Train)
 
 # Predicting the test set results