plot_lift: LIFT Chart

In auditor: Model Audit - Verification, Validation, and Error Analysis

LIFT Chart

Description

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.

Usage

plot_lift(object, ..., zeros = TRUE)

plotLIFT(object, ...)

Arguments

object	An object of class auditor_model_evaluation created with model_evaluation function.
...	Other auditor_model_evaluation objects to be plotted together.
zeros	Logical. It makes the lines start from the (0,0) point. By default it's TRUE.

Value

A ggplot object.

See Also

model_evaluation

Examples

data(titanic_imputed, package = "DALEX")

# fit a model
model_glm <- glm(survived ~ ., family = binomial, data = titanic_imputed)

glm_audit <- audit(model_glm,
                   data = titanic_imputed,
                   y = titanic_imputed$survived)

# validate a model with auditor
eva_glm <- model_evaluation(glm_audit)

# plot results
plot_lift(eva_glm)
plot(eva_glm, type ="lift")

model_glm_2 <- glm(survived ~ .-age, family = binomial, data = titanic_imputed)
glm_audit_2 <- audit(model_glm_2,
                     data = titanic_imputed,
                     y = titanic_imputed$survived,
                     label = "glm2")
eva_glm_2 <- model_evaluation(glm_audit_2)

plot_lift(eva_glm, eva_glm_2)
plot(eva_glm, eva_glm_2, type = "lift")

auditor documentation built on Nov. 2, 2023, 6:13 p.m.