Skip to contents

Area Under the Curve of Binomial Observations vs Probabilistic Model Predictions

Source: R/performance_score_auc.R
performance_score_auc.Rd

Internal function to compute the AUC of binomial models within preference_order(). As it is build for speed, this function does not check the inputs.

Usage

performance_score_auc(o = NULL, p = NULL)

Arguments

o

(required, binomial vector) Binomial response with values 0 and 1. Default: NULL

p

(required, numeric vector) Predictions of binomial model. Default: NULL

Value

numeric: Area Under the ROC Curve

See also

Other modelling_tools: case_weights(), model_formula(), performance_score_r2(), performance_score_v()