plotD3_lift {auditor} R Documentation

Plot LIFT in D3 with r2d3 package.

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

plotD3_lift(object, ..., scale_plot = FALSE, zeros = TRUE)

plotD3LIFT(object, ..., scale_plot = FALSE)


Arguments

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

Value

a r2d3 object

plot_lift

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$survived) # validate a model with auditor eva_glm <- model_evaluation(glm_audit) # plot results plot_roc(eva_glm) plot(eva_glm) #add second model model_glm_2 <- glm(survived ~ .-age, family = binomial, data = titanic_imputed) glm_audit_2 <- audit(model_glm_2, data = titanic_imputed, y = titanic_imputed$survived,
label = "glm2")
eva_glm_2 <- model_evaluation(glm_audit_2)

plotD3_lift(eva_glm, eva_glm_2)



[Package auditor version 1.3.3 Index]