[{'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:allClientsSample = pd.read_csv(\'C:/YandexDisk/Work/RevoBigScorring/sourceSmaple.csv\',encoding=\'cp1251\')\ndfCl = pd.concat([dfFirst.clientKey.reset_index(drop=True),preLR.reset_index(drop=True)],axis=1)\ndfClBur = pd.merge(dfCl,allClientsSample[[\'BkiFlg\',\'clientKey\']])\ndfHist = dfClBur[dfClBur.BkiFlg==True]\ndfNoHist = dfClBur[dfClBur.BkiFlg==False]\nXhist = dfHist.drop([\'clientKey\',\'BkiFlg\',\'badMob3\'],axis=1).values\nyHist = dfHist.badMob3\nXNohist = dfNoHist.drop([\'clientKey\',\'BkiFlg\',\'badMob3\'],axis=1).values\nyNoHist = dfNoHist.badMob3\nprHist = lr.predict_proba(Xhist)[:,1]\nprNoHist = lr.predict_proba(XNohist)[:,1]\nprint(\'-\'*60)\nprint("with CH:")\nsf.rocCurve(yHist,prHist)\nprint(\'-\'*60)\nprint("without CH:")\nsf.rocCurve(yNoHist,prNoHist)'}, {'role': 'assistant', 'content': "['load_data', 'evaluation', 'modelling', 'prediction']"}]