auditor (version 0.2.1)

plotCumulativeGain: Cumulative Gain Chart

Description

Cumulative Gain Chart is is a plot of the rate of positive prediction against true positive rate for the different thresholds. It is useful for measuring and comparing the accuracy of the classificators.

Usage

plotCumulativeGain(object, ...)

Arguments

object

An object of class ModelAudit.

...

Other modelAudit objects to be plotted together.

Value

ggplot object

See Also

plot.modelAudit

Examples

# NOT RUN {
library(mlbench)
data("PimaIndiansDiabetes")
Pima <- PimaIndiansDiabetes
Pima$diabetes <- ifelse(Pima$diabetes == "pos", 1, 0)
glm_model <- glm(diabetes~., family=binomial,	data=Pima)
glm_au <- audit(glm_model, data = Pima, y = Pima$diabetes)
plotCumulativeGain(glm_au)

# }