python 针对二分类问题画roc曲线

代码详解：

import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import label_binarize
from sklearn.metrics import confusion_matrix,classification_report
from sklearn.metrics import roc_curve, auc
from sklearn.metrics import cohen_kappa_score, accuracy_score

with open("batch_16_epoch_2.txt","r",encoding="utf-8") as f:
        y_true, y_sore,y_pre=[],[],[]
        f=f.readlines()
        data=[i.split("\n")[0].split(" ") for i in f ]
        print("# 第一列是真实值 第二列是分数 第三列是预测值",data)
        for line in data:
            y_true.append(int(line[0]))
            y_sore.append(float(line[1]))
            y_pre.append(int(line[2]))
from sklearn.metrics import roc_curve, auc
fpr, tpr, thresh