[{'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:# params = {'colsample_bytree': 0.7000000000000001, \n#           'eta': 0.625, \n#           'gamma': 0.8, \n#           'max_depth': 6,\n#           'eval_metric': 'rmse',\n#           'min_child_weight': 6.0, \n#           'n_estimators': 8.0,  # 585\n#           'silent': 1,\n#           'subsample': 0.9500000000000001}\n\n\n# watchlist = [(xtrain, 'train'), (xtest, 'eval')]\n# num_round = 10000\n# xgb_regressor = xgb.train(params, xtrain, num_round, watchlist, feval=rmspe_xg,\n#                           verbose_eval=10, early_stopping_rounds=50)"}, {'role': 'assistant', 'content': "['helper_functions']"}]