Quite often beside the accuracy other evaluation methods are needed, like
the ROC-curve or then the Area-under-the-ROC-curve (AUROC) value.
Problems:
- only in two class problems
- need an parameter to adjust ==> suggestion a theta for the classifier function mu (theat \in [-1 1])
If someone is intrested to integrate it, I could join and explain it in more detail :)
Quite often beside the accuracy other evaluation methods are needed, like
the ROC-curve or then the Area-under-the-ROC-curve (AUROC) value.
Problems:
If someone is intrested to integrate it, I could join and explain it in more detail :)