LIFT 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.

plotLIFT(object, ...)

## Arguments

object An object of class modelAudit or modelEvaluation. Other modelAudit objects to be plotted together.

## Value

ggplot object

plot.modelAudit

## Examples

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)
plotLIFT(glm_au)