Training, crossvalidation and testing binding thrombin dataset

@@ -230,13 +230,13 @@ if __name__ == "__main__":
     print("   Done!")
     print("   Done!")
 
 
     print("Training...")
     print("Training...")
-    classifier.fit(X_train, y_train)
+    myClassifier.fit(X_train, y_train)
     print("   Done!")
     print("   Done!")
 
 
     print("Testing (prediction in new data)...")
     print("Testing (prediction in new data)...")
     if args.reduction is not None:
     if args.reduction is not None:
         X_test = reduc.transform(X_test)
         X_test = reduc.transform(X_test)
-    y_pred = classifier.predict(X_test)
+    y_pred = myClassifier.predict(X_test)
     print("   Done!")
     print("   Done!")
 
 
     print("Saving report...")
     print("Saving report...")