Evaluation Problems

[Peggy118]

Hi, thanks for your amazing work!

I have been trying to plot the ROC curve for the performance evaluation, but I am confused about how the auc is calculated in the test.py. Could you kindly explain your method? For example, what does the number 140 mean in the equation auc/140 in the python file test.py?

`score_list3 = np.concatenate((score_list, score_list2), axis=0)
gt_list3 = np.concatenate((gt_list, gt_list2), axis=0)

fpr, tpr, thresholds = metrics.roc_curve(gt_list3, score_list3, pos_label=1)
auc += metrics.auc(fpr, tpr)

print('auc = ', auc/140)`

Additionally, would it be possible to explain some of your idea for how to show the ROC curve?

[zimengxueying]

Hi, thanks for your amazing work!

I have been trying to plot the ROC curve for the performance evaluation, but I am confused about how the auc is calculated in the test.py. Could you kindly explain your method? For example, what does the number 140 mean in the equation auc/140 in the python file test.py?

`score_list3 = np.concatenate((score_list, score_list2), axis=0) gt_list3 = np.concatenate((gt_list, gt_list2), axis=0)

fpr, tpr, thresholds = metrics.roc_curve(gt_list3, score_list3, pos_label=1) auc += metrics.auc(fpr, tpr)

print('auc = ', auc/140)`

Additionally, would it be possible to explain some of your idea for how to show the ROC curve?