def MLPClassifier(X_train, y_train):
from sklearn.neural_network import MLPClassifier
now = datetime.datetime.now()
print ("MLPClassifier start in " + now.strftime('%Y-%m-%d %H:%M:%S'))
MLPC = MLPClassifier()
MLPC.fit(X_train, y_train)
now = datetime.datetime.now()
print ("MLPClassifier train done in " + now.strftime('%Y-%m-%d %H:%M:%S'))
y_pred_MLPC = MLPC.predict_proba(X_test)
y_pred_MLPC = pd.DataFrame(y_pred_MLPC[:,1:2],columns=['MLPC_predictions'])
y_pred_MLPC.to_csv('MLPC_result.csv', index=False)
now = datetime.datetime.now()
print ("MLPClassifier predict done in " + now.strftime('%Y-%m-%d %H:%M:%S'))
# SVC model
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