[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:ridge_model = Ridge(alpha=ridge_regressor.best_params_["alpha"], fit_intercept=ridge_regressor.best_params_["fit_intercept"], \n                    normalize=ridge_regressor.best_params_["normalize"], solver=ridge_regressor.best_params_["solver"])\nridge_model.fit(X_train, y_train)\ny_train_pred = ridge_model.predict(X_train)\ny_pred = ridge_model.predict(X_test)\nprint(\'Train r2 score: \', r2_score(y_train_pred, y_train))\nprint(\'Test r2 score: \', r2_score(y_test, y_pred))\ntrain_rmse = np.sqrt(mean_squared_error(y_train_pred, y_train))\ntest_rmse = np.sqrt(mean_squared_error(y_test, y_pred))\nprint(f\'Train RMSE: {train_rmse:.4f}\')\nprint(f\'Test RMSE: {test_rmse:.4f}\')\''}, {'role': 'assistant', 'content': "['modelling']"}]