I use ar_pick on a large data set and I want to evaluate its performance using confusion matrix. My problem is that ar_picks returns p_pick and s_spick estimates for all samples. To clasify positive picks, I need a confidence (probability) value attached to every pick, so I can identify positive picks, ie picks with %60 confidence.
Any recommendations or experiences?