Thanks a lot for sharing the codes. Can I ask one simple question?
As the ICML paper mentioned, in PR curve, recall values do not necessarily change linearly with precisions. Hence, the ROC curve is first constructed, and next, the PR curve is inferred from the ROC curve.
Could you please help confirm whether the provided codes do the similar stuff?
Thanks a lot
can you help me out in it ... i am using SVM quadratic classifier; it returns class labels for test samples (i.e. 1(pos) or -1(neg)); how can i obtain score values for test samples to plot PR and ROC curves? Thanks a lot for the upload!