performance_score_auc {collinear} | R Documentation |
Area Under the Curve of Binomial Observations vs Probabilistic Model Predictions
Description
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()
[Package collinear version 2.0.0 Index]