[{'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:predict = []\nreg = LinearRegression().fit(x1_train, y1_train)\npre_reg = reg.predict(x1_test)\n\nreg_poly = LinearRegression().fit(poly_x1_train, y1_train)\npre_reg_poly = reg_poly.predict(poly_x1_test)\n\nrf_reg = GridSearchCV(rf, parameters, cv=5, verbose=2,scoring = scorer,n_jobs = -1)\nrf_reg.fit(x1_train, y1_train)\npre_rf_reg = rf_reg.predict(x1_test)\n\nxg_reg = GridSearchCV(xg,parameter,cv=5,verbose = 2 , scoring = scorer, n_jobs = -1)\nxg_reg.fit(x1_train, y1_train)\npre_xg_reg = xg_reg.predict(x1_test)\n\npredict.append(pre_reg)\npredict.append(pre_reg_poly)\npredict.append(pre_rf_reg)\npredict.append(pre_xg_reg)'}, {'role': 'assistant', 'content': "['modelling']"}]