python 画 roc曲线图
实现代码参考: from sklearn.metrics import roc_curve, auc import numpy as np from sklearn import metrics import matplotlib.pyplot as plt y = np.array([1,1,0,1,1,1,0,0,1,0,1,0,1,0,0,0,1,0,1,0]) scores = np.array([0.9, 0.8, 0.7, 0.6,0.55,0.54,0.53,0.52,0.51,0.505,0.4,0.39,0.38,0.37,0.36,0.35,0.34,0.33,0.30,0.1]) fpr, tpr, thresholds = metrics.roc_curve(y, scores, pos_label=1) print("fpr",fpr) print("tpr",tpr) print("thresholds",thresholds) auc = metrics.auc(fpr, tpr) plt.figure() lw = 2 plt.plot(fpr, tpr, color='darkorange', lw=lw, label='ROC curve (area = %0.2f)' % auc) plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--') plt.xlim([0.0, 1.0]) plt.ylim([0.0, 1.05]) plt.xlabel('False Positive Rate') plt.ylabel('True Positive Rate') plt.title('Receiver operating characteristic example') plt.legend(loc="lower right") plt.show()
绘制结果如下: