Function that measures Area under the \(Min(FPR, FNR)\) (AUM) between each
element in the \(input\) and \(target\).
Usage
nnf_area_under_min_fpr_fnr(input, target)
Arguments
- input
Tensor of arbitrary shape
- target
Tensor of the same shape as input. Should be the factor
level of the binary outcome, i.e. with values 1L and 2L.
Details
This is used for measuring the error of a binary reconstruction within highly unbalanced dataset,
where the goal is optimizing the ROC curve.