plot.prc: Plot precision-recall curve

In nestedcv: Nested Cross-Validation with 'glmnet' and 'caret'

Plot precision-recall curve

Description

Plots a precision-recall curve using base graphics. It accepts an S3 object of class 'prc', see prc().

Usage

## S3 method for class 'prc'
plot(x, ...)

Arguments

x	An object of class 'prc'
...	Optional graphical arguments passed to plot()

Value

No return value

See Also

prc()

Examples

library(mlbench)
data(Sonar)
y <- Sonar$Class
x <- Sonar[, -61]

fit1 <- nestcv.glmnet(y, x, family = "binomial", alphaSet = 1, cv.cores = 2)
fit1$prc <- prc(fit1)  # calculate precision-recall curve

fit2 <- nestcv.train(y, x, method = "gbm", cv.cores = 2)
fit2$prc <- prc(fit2)

plot(fit1$prc)
lines(fit2$prc, col = "red")

nestedcv documentation built on June 22, 2024, 11:30 a.m.