auc_pairs: Area under the Curve by pairwise concordance

In egenn/rtemis: Machine Learning and Visualization

Area under the Curve by pairwise concordance

Description

Get the Area under the ROC curve to assess classifier performance using pairwise concordance

Usage

auc_pairs(estimated.score, true.labels, verbose = TRUE)

Arguments

estimated.score	Float, Vector: Probabilities or model scores (e.g. c(.32, .75, .63), etc)
true.labels	True labels of outcomes (e.g. c(0, 1, 1))
verbose	Logical: If TRUE, print messages to output

Details

The first level of true.labels must be the positive class, and high numbers in estimated.score should correspond to the positive class.

Examples

## Not run: 
true.labels <- factor(c("a", "a", "a", "b", "b", "b", "b"))
estimated.score <- c(0.7, 0.55, 0.45, 0.25, 0.6, 0.7, 0.2)
auc_pairs(estimated.score, true.labels, verbose = TRUE)

## End(Not run)

egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.