[{'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.ensemble import RandomForestRegressor\n\nregressor = RandomForestRegressor(random_state = 0, max_depth = 20, n_estimators = 150)\nestimator = pipeline.Pipeline(steps = [       \n    (\'feature_processing\', pipeline.FeatureUnion(transformer_list = transformer_list)),\n    (\'model_fitting\', regressor)\n    ]\n)\nestimator.fit(train_data, train_labels)\n#metrics.mean_absolute_error(test_labels, estimator.predict(test_data))\nprint("RMSLE: ", rmsle(test_labels, estimator.predict(test_data)))\''}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]