[{'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:import numpy as np\nfrom sklearn.model_selection import GridSearchCV\ndef get_rmspe_score(model,input_values,y_actual):\n    y_predicted=model.predict(input_values)\n    \n    Y_actual=np.exp(y_actual)-1\n    y_predicted=np.exp(y_predicted)-1\n    score=rmspe(y_actual,y_predicted)\n    return score\nparameter={'max_depth':list(range(5,8))}\nbase_model=DecisionTreeRegressor()\ncv_model=GridSearchCV(base_model,param_grid=parameter,cv=5,return_train_score=True,scoring=get_rmspe_score).fit(train_x,train_y)\npd.DataFrame(cv_model.cv_results_)[['params','mean_test_score','mean_train_score']]"}, {'role': 'assistant', 'content': 'modelling'}]