Decided to start

github with ROC curve plotting

example. There is not a one ROC curve but several - according to the number of comparisons (classifications), also legend with maximal and minimal ROC AUC are added to the plot. ROC curves and ROC AUC were calculated with

ROCR package.

What else should be added to the plot for ease of understanding?

Possibly explaining terms might make your blog more popular. What's ROC, what's AUC ?

ReplyDeleteI suppose it could be argued that if the reader doesn't know, then they have no business looking at the blog. But just a couple of lines of text with simple explanation would still be appreciated.

I will update the post soon.

DeleteCan you please add about ROCR generation when the class probabilities rather than the class labels of predicted class is given?

ReplyDeleteMradul

oh, my! it's completely another story!

Deletegithib->github

ReplyDeletethanks!

Deletecould you add a link for files 'sample.active' and 'sample.inactive'?

ReplyDeletethough I finally found them in Github after 5 min's exploring :)