def METHOD_NAME(self, X):
    """Make predictions using the fitted XGBoost classifier.
    Args:
        X (pd.DataFrame): Data of shape [n_samples, n_features].
    Returns:
        pd.DataFrame: Predicted values.
    """
    X, _ = super()._manage_woodwork(X)
    X = _rename_column_names_to_numeric(X)
    predictions = super().METHOD_NAME(X)
    if not self._label_encoder:
        return predictions
    predictions = self._label_encoder.inverse_transform(
        predictions.astype(np.int64),
    )
    return predictions