[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:params_lasso = {\n    \'alpha\' : [.01, .1, .5, .7, .9, .95, .99, 1, 5, 10, 20],\n    \'fit_intercept\' : [True, False],\n    \'normalize\' : [True,False],\n}\n\nlasso_model = Lasso()\nlasso_regressor = GridSearchCV(lasso_model, params_lasso, scoring=\'neg_root_mean_squared_error\', cv=5, n_jobs=-1)\nlasso_regressor.fit(X_train, y_train)\nprint(f\'Optimal alpha: {lasso_regressor.best_params_["alpha"]:.2f}\')\nprint(f\'Optimal fit_intercept: {lasso_regressor.best_params_["fit_intercept"]}\')\nprint(f\'Optimal normalize: {lasso_regressor.best_params_["normalize"]}\')\nprint(f\'Best score: {lasso_regressor.best_score_}\')\''}, {'role': 'assistant', 'content': 'modelling'}]