[{'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:%%time\nn_estimators=100\nxgb = XGBRegressor(n_estimators=n_estimators,max_depth=4,learning_rate =0.01 , booster = 'gbtree')\nxgb.fit(X_train ,Y_train ,eval_set=[(X_train, Y_train), (X_test, Y_test)] , verbose = False)\nscore = xgb.evals_result()\nvalid_0_error_new = np.amin(score['validation_0']['rmse'])\nvalid_1_error_new = np.amin(score['validation_1']['rmse'])\nscore_diff(valid_0_error , valid_1_error , valid_0_error_new , valid_1_error_new)\nvalid_0_error = valid_0_error_new\nvalid_1_error = valid_1_error_new"}, {'role': 'assistant', 'content': "['modelling']"}]