print(f"Training class counts: {class_counts}")
print(f"Applied class weights: {display_weights}")

for name, model in models.items():
    model.fit(X_train, y_train)
    predictions = model.predict(X_test)
    balanced_accuracy = balanced_accuracy_score(y_test, predictions)
    minority_recall = recall_score(y_test, predictions, pos_label=1)
    print(
        f"{name}: balanced_accuracy={balanced_accuracy:.3f}, "
        f"minority_recall={minority_recall:.3f}"
    )