[{'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:X_train, X_test, y_train, y_test = train_test_split(tmpXtrain, np.log1p(Y2train), test_size=0.1)\n\nlgb_train = lgb.Dataset(X_train, y_train)\nlgb_eval = lgb.Dataset(X_test, y_test, reference=lgb_train)\n\nlgbm_params = {\n    \'objective\': \'regression\',\n    \'metric\': \'rmse\',\n}\nbest_params, tuning_history = dict(), list()\nbooster_registered = lgb.train(lgbm_params, lgb_train, valid_sets=lgb_eval,\n                    verbose_eval=0,\n                    best_params=best_params,\n                   tuning_history=tuning_history)\nprint("Best Params:", best_params)\nprint("Tuning history:", tuning_history)\''}, {'role': 'assistant', 'content': 'data_preprocessing'}]