[{'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:t0 = time.time()\nsvr.fit(x_train,y_train)\nsvr_fit_time = time.time()-t0\nprint('SVR complexity and bandwidth selected and model fitted in %0.3f s'%svr_fit_time)\nsvr_ratio = svr.best_estimator_.support_.shape[0]/x_train.shape[0]\nprint('Support vector ratio:%0.3f '%svr_ratio)\nt0 = time.time()\nkr.fit(x_train,y_train)\nkr_fit_time = time.time()-t0\nprint('KRR complexity and bandwidth selected and model fitted in %0.3f s'%kr_fit_time)\nt0 = time.time()\ny_svr_test  = svr.predict(x_test)\ny_svr_train = svr.predict(x_train)\nsvr_predict_time = time.time()-t0\nprint('SVR prediction for %d in %0.3fs'%(x_test.shape[0],svr_predict_time))\nt0 = time.time()\ny_kr_test  = kr.predict(x_test)\ny_kr_train = kr.predict(x_train)\nkrr_predict_time = time.time()-t0\nprint('KRR prediction for %d in %0.3fs'%(x_test.shape[0],krr_predict_time))"}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]