Get performance metrics for classification predictions

evaluate_classification(predicted, actual)

Arguments

predicted Vector of predicted probabilities 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