3.1 Gaussian Bayes.py 文件源码

def test_GaussianNB(*data):
    '''
    Test Gaussian NB
    :param data: train_data, test_data, train_value, test_value
    :return: None
    '''
    X_train,X_test,y_train,y_test=data
    cls=naive_bayes.GaussianNB()
    cls.fit(X_train,y_train)
    print('Training Score: {0}' .format( cls.score(X_train,y_train)))
    print('Testing Score: {0}' .format( cls.score(X_test, y_test)))