[{'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:from sklearn.metrics import mean_squared_log_error,mean_squared_error, r2_score,mean_absolute_error # for regression\nfrom sklearn.metrics import accuracy_score,precision_score,recall_score,f1_score  # for classification\n\nmodels=[GradientBoostingRegressor()]\nmodel_names=['regressor']\nrmsle=[]\nd={}\nfor model in range (len(models)):\n    clf=models[model]\n    clf.fit(X_tr,y_tr)\n    test_pred=clf.predict(X_vld)\n    rmsle.append(np.sqrt(mean_squared_log_error(test_pred,y_vld)))\nd={'Modelling Algo':model_names,'RMSLE':rmsle}   \nd"}, {'role': 'assistant', 'content': 'modelling'}]