我有三个列表:

FPR=[1.0,0.6437673130193906,0.22105263157894736,0.03102493074792244,0.00221606648199446,0.0]TPR=[1.0,0.9407831900668577,0.7172874880611271,0.3638968481375358,0.10315186246418338,0.0]thresholds=array([0. , 0.2, 0.4, 0.6, 0.8, 1. ])

我试图获取最佳截止值。我尝试了下面的代码。

i = np.arange(len(TPR))roc = pd.DataFrame({'tf' : pd.Series(FPR-(1-FPR), index=i), 'threshold' : pd.Series(thresholds,index=i)})roc_th = roc.iloc[(roc.tf-0).abs().argsort()[:1]]

但我在第二行得到了下面的错误

TypeError: unsupported operand type(s) for -: 'int' and 'list'

请帮助我解决这个问题。如果需要，我可以提供更多信息。

回答：

只需将前两行更改为

FPR=np.array([1.0,0.6437673130193906,0.22105263157894736,0.03102493074792244,0.00221606648199446,0.0])TPR=np.array([1.0,0.9407831900668577,0.7172874880611271,0.3638968481375358,0.10315186246418338,0.0])

当你在定义数据框的行中执行1-FPR时，你试图从一个普通的Python列表中减去1。这是被不支持的，因此你的错误信息显示它不能从一个整数和一个列表中减去-。标量-向量减法仅对numpy数组定义。