I am doing a series of SDMs using MaxEnt for different species of bats, I am using different features and regularization values, in addition, I am using spatial partition and jackknife for cross validation.

I would like to start selecting the models according to their significance, and then continue with other metrics such as the omission rate and AIC in order to select one of the models.

I know that the partial ROC exists but I don't know if it can be done with the partitions that I am using (space partition and jackknife) or it can only be calculated with random non-space partitions.

That is the question

Thanks.