def?printing_Kfold_scores(x_train_data,y_train_data):? ???fold?=?KFold(5,shuffle=False)??? ???print(fold)? ???#C——正則化強(qiáng)度 ???c_param_range?=?[0.01,0.1,1,10,100] ???results_table?=?pd.DataFrame(index?=?range(len(c_param_range),2),?columns?=?['C_parameter','Mean?recall?score']) ???results_table['C_parameter']?=?c_param_range ???j?=?0???? ???for?c_param?in?c_param_range:???????? ???print('-----------------------------------')???????? ???print('C?parameter:?',?c_param)???????? ???print('-----------------------------------')???????? ???print('')???????????????? ???recall_accs?=?[]???????? ???for?iteration,?indices?in?enumerate(fold,start=1): ??? ???提示報(bào)錯(cuò)： ???<ipython-input-36-a4982f6777fc>?in?printing_Kfold_scores(x_train_data,?y_train_data)????? ???16?????? ???17?????????recall_accs?=?[] ???--->?18?????????for?iteration,?indices?in?enumerate(fold,start=1):????? ???19?????? ???20?????????????#邏輯回歸模型TypeError:?'KFold'?object?is?not?iterable