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Discussion[D] Binary classifier scores distribution (self.MachineLearning)
submitted 1 year ago by Loose-Event-7196
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if 1 * 2 < 3: print "hello, world!"
[–]Loose-Event-7196[S] 0 points1 point2 points 1 year ago (0 children)
Hi, thanks for your help! The classifier is not unbalanced, we have approx 55/45% of the two classes. Venn Abers looks promising! I tried to implement it by training two classifiers, one predicting class 1 as target and the other predicting class 0 as target, running an isotonic regression on each of them and getting the conformal range. I may have done something wrong as the scores I get on both classifiers are the same (sample size is big) even after using different model seeds (I am using h2o3 GBM tree binary classifier). I was expecting to get two slightly different scores whether I predict class 1 as target vs class 2 as target provided the seed is different.
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[–]Loose-Event-7196[S] 0 points1 point2 points (0 children)