[{'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 GridSearchCV, train_test_split\n\n\nx_train2,x_test2,y_train2,y_test2=train_test_split(X_train,y_train,test_size=0.25,random_state=42)\n\nparams={'n_estimators': [10,50,100,300,500],\n       'n_jobs':[-1],\n       'max_features':['auto','sqrt','log2'],\n       'random_state':[42]}\n\nrfr_tuned=GridSearchCV(estimator=RandomForestRegressor(),param_grid=params,scoring='neg_mean_squared_log_error',verbose=True)\n\nrfr_tuned.fit(x_train2,y_train2)\nprint(rfr_tuned.best_params_)\nprint(rfr_tuned.best_estimator_)\n\n"}, {'role': 'assistant', 'content': "['modelling']"}]