[{'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 = RandomForestRegressor()\nxg = xgb.XGBRegressor()\nparameter = {"max_depth": [1,2,3,4,5,6],\n             "eta": [0.01,0.03,0.05],\n             "alpha":[0],\'n_estimators\': [100,500,800,1000,1200,1400]}\n\nparameters = {\'n_estimators\':[50,100,150,200,250],\n              \'min_impurity_decrease\':[0.0,0.001,0.01],\n              \'max_depth\':[20,40,60,80,100]}\n\nmodels = [\'Normal Linear Regression: \',\'Linear Regression over polynomial: \',\n          \'Random Forest Regressor: \',\'XG Boosting: \']\''}, {'role': 'assistant', 'content': "['modelling']"}]