def METHOD_NAME(fit_helper):
    """Additionally tests that all multiclass metrics work"""
    fit_args = dict(
        hyperparameters={LGBModel: {}},
    )
    extra_metrics = list(METRICS[MULTICLASS])
    dataset_name = "covertype_small"
    fit_helper.fit_and_validate_dataset(dataset_name=dataset_name, fit_args=fit_args, extra_metrics=extra_metrics)