[{'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 r2_score, mean_squared_error\ny_pred=model_dt.predict(validate_x)\ny_pred_exp=np.exp(y_pred)-1\nvalidate_y_exp=np.exp(validate_y)-1\nprint("R-squared:", r2_score(validate_y_exp, y_pred_exp))\nprint("RMSE:", np.sqrt(mean_squared_error(validate_y_exp, y_pred_exp)))\nprint(\'RMSPE\',rmspe(validate_y_exp, y_pred_exp))\n\''}, {'role': 'assistant', 'content': 'modelling'}]