Which one is more reliable metric between AUC and Accuracy for binary classification on imbalanced data where setScalePosWeight
is set to sum(negative instances) / sum(positive instances)
for training set?
On test set, the performances are:
- AUC = 80%
- Accuracy = 73%
I think that the Accuracy
is naive in the sens that is use 0.5
as threshold
Thanks