auditor (version 1.3.5)

plotD3_lift: 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)

Value

a r2d3 object

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.

See Also

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)