def main():
# Load the data and build preprocessor
p_train = Preprocessor('train')
p_test = Preprocessor('test')
# Get feature vectors and labels for both training and testing data
X_train, y_train = p_train.get_values_all()
X_test, y_test = p_test.get_values_all()
print('==========Classification==========')
# Random forest
random_forest(X_train, y_train, X_test, y_test)
# Logistic regression
logistic_regression(X_train, y_train, X_test, y_test)
# XGboost
XGboost(X_train, y_train, X_test, y_test)
print('==========Voting==========')
# Voting
voting(X_train, y_train, X_test, y_test)
