[{'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:from sklearn.model_selection import train_test_split\nX_train, X_validation, y_train, y_validation = train_test_split(Xtrain3, Ytrain, train_size=0.7)\n\n\nfrom catboost import CatBoostRegressor\nmodel=CatBoostRegressor(iterations=200, depth=6, learning_rate=0.2, loss_function='RMSE')\nmodel.fit(Xtrain3, Ytrain,eval_set=(X_validation, y_validation),plot=True)\nYpred = model.predict(Xtrain3)\nmodel_rmsle = rmsle(Ytrain, Ypred)\nprint('error =', model_rmsle)"}, {'role': 'assistant', 'content': "['modelling']"}]