title: ROC trainable WEKA segmentation
body: <p>I am a basic user of trainable weka segmention plug in from Fiji. I would like to know how the ROC curve evaluates the performance of a fastrandomforest classifier? As I have several points in the curve, conceptually, each one represents how each pixel was evaluated? does it asses the probability assigned to each pixel? Or the probability assigned to each pixel is irrelevant for the ROC curve?
  Grtz!
  Natalia</p>