Tuesday, July 30, 2019

Relegator ideas...

For now, work on simple two-class moons dataset (2 features) with an added third feature: peaking signal and exponentially distributed background.

Compare:
1. NN with single output node, logistic regression, with optimal cut based on ROC
2. NN with two output nodes, cat. cross-entropy, optimal cut based on S/sqrt(S+B)
3. relegator NN with three output nodes, tuned with S/sqrt(S+B) in loss function



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