def METHOD_NAME(self, metric):
    X_train, y_train, X_test, y_test, _ = \
        create_binary_classification_dataset()
    feature_names = list(X_train.columns)
    models = create_models_classification(X_train, y_train)
    for model in models:
        categorical_features = []
        run_error_analyzer(model, X_test, y_test, feature_names,
                           categorical_features, metric=metric)