[{'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:rf_model_en = RandomForestRegressor(max_depth=200, max_features=0.4, min_samples_leaf=3, \n                                 min_samples_split=6, n_estimators=30, n_jobs=-1, oob_score=True)\nrf_model_en.fit(X_train, y_train)\ny_train_pred = rf_model_en.predict(X_train)\ny_pred = rf_model_en.predict(X_test)\nprint('Train r2 score: ', r2_score(y_train_pred, y_train))\nprint('Test r2 score: ', r2_score(y_test, y_pred))\ntrain_rmse = np.sqrt(mean_squared_error(y_train_pred, y_train))\ntest_rmse = np.sqrt(mean_squared_error(y_test, y_pred))\nprint(f'Train RMSE: {train_rmse:.4f}')\nprint(f'Test RMSE: {test_rmse:.4f}')"}, {'role': 'assistant', 'content': "['modelling']"}]