@pytest.fixture(scope='module')
def multiclass_dataset():
    df = pd.read_csv('./resources/glass.csv')
    features = df.iloc[0:, :(- 1)]
    labels = df.iloc[0:, (- 1)].values.ravel()
    (X_train, X_test, y_train, _) = train_test_split(features, labels, test_size=TEST_SIZE, random_state=RANDOM_STATE)
    return (X_train, X_test, y_train)
@pytest.fixture(scope='module')
def multiclass_dataset():
    df = pd.read_csv('./resources/glass.csv')
    features = df.iloc[0:, :(- 1)]
    labels = df.iloc[0:, (- 1)].values.ravel()
    (X_train, X_test, y_train, _) = train_test_split(features, labels, test_size=TEST_SIZE, random_state=RANDOM_STATE)
    return (X_train, X_test, y_train)