[{'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:X_train, X_test, y_train, y_test = train_test_split(X_features_ohe, y_target_log, test_size=0.3, random_state=2019)\n\nfrom sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor\nfrom xgboost import XGBRegressor\nfrom lightgbm import LGBMRegressor\n\nrf_reg = RandomForestRegressor(n_estimators=500)\ngbm_reg = GradientBoostingRegressor(n_estimators=500)\nxgb_reg = XGBRegressor(n_estimators=500)\nlgbm_reg = LGBMRegressor(n_estimators=500)\n\nfor model in [rf_reg, gbm_reg, xgb_reg, lgbm_reg]:\n    get_model_predict(model, X_train, X_test, y_train, y_test, is_expm1=True)'}, {'role': 'assistant', 'content': "['modelling']"}]