model.fit(X_train, y_train)

selector = model.named_steps["select"]
selected_indices = selector.get_support(indices=True)
selected_names = selector.get_feature_names_out(dataset.feature_names)
selected_scores = selector.scores_[selected_indices]
ranked_features = sorted(
    zip(selected_indices, selected_names, selected_scores),
    key=lambda item: item[2],
    reverse=True,
)