Get performance metrics for classification predictions

evaluate_classification(predicted, actual)

Arguments

predicted

Vector of predicted probabilities

actual

Vector of realized outcomes, must be 0/1

Value

Numeric vector of scores with metric as names

Examples

evaluate_classification(c(.7, .1, .6, .9, .4), c(1, 0, 0, 1, 1))
#> AUPR AUROC #> 0.5694444 0.8333333