[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without 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': 'modelling'}]