measures: multiclass.AU1U – R documentation

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multiclass.AU1U

Average 1 vs. 1 multiclass AUC

Description

Computes AUC of c(c - 1) binary classifiers (all possible pairwise combinations) while considering uniform distribution of the classes. See Ferri et al.: https://www.math.ucdavis.edu/~saito/data/roc/ferri-class-perf-metrics.pdf.

Usage

multiclass.AU1U(probabilities, truth)

Arguments

`probabilities`	[numeric] matrix of predicted probabilities with columnnames of the classes
`truth`	vector of true values

Examples

n = 20
set.seed(122)
truth = as.factor(sample(c(1,2,3), n, replace = TRUE))
probabilities = matrix(runif(60), 20, 3)
probabilities = probabilities/rowSums(probabilities)
colnames(probabilities) = c(1,2,3)
multiclass.AU1U(probabilities, truth)

measures

Performance Measures for Statistical Learning

v0.3

GPL-3

Authors

Philipp Probst [aut, cre]

Initial release