performance_score_auc: Area Under the Curve of Binomial Observations vs...

In collinear: Automated Multicollinearity Management

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()

collinear documentation built on April 12, 2025, 1:36 a.m.