Computes all evaluation metrics at once: AUC, correlation, log-loss,
squared error, misclassification, max kappa, and prevalence.
Usage
eval_model(presence, absence)
Arguments
- presence
Numeric vector of prediction scores at presence sites.
- absence
Numeric vector of prediction scores at absence sites.
Value
A named list with: auc, max_kappa, max_kappa_thresh,
correlation, square_error, logloss, misclassification, prevalence.
