auc: auc

In Peder2911/evallib: Simple binary classifier evaluation

Description

Returns the Area Under Curve statistic, which is often used to compare metricCurves.

Usage

auc(x, y)

Arguments

x	The X dimension of the metric curve.
y	The Y dimension of the metric curve.

Value

An AUC score

Examples

predicted <- sample(c(1,0), replace = TRUE, size = 150)
actual <- sample(c(1,0), replace = TRUE, size = 150)
myRoc <- roc(predicted,actual)
auc(myRoc$fallout, myRoc$recall)

Peder2911/evallib documentation built on Dec. 18, 2019, 2:41 a.m.