plot_all_cutoffs: Plot all cutoffs

In fairmodels: Flexible Tool for Bias Detection, Visualization, and Mitigation

Plot all cutoffs

Description

All cutoffs plot allows to check how parity loss of chosen metrics is affected by the change of cutoff. Values of cutoff are the same for all subgroups (levels of protected variable) no matter what cutoff values were in fairness_object.

Usage

## S3 method for class 'all_cutoffs'
plot(x, ..., label = NULL)

Arguments

x	all_cutoffs object
...	other plot parameters
label	character, label of model to plot. Default NULL. If default prints all models.

Value

ggplot2 object

Examples

data("german")

y_numeric <- as.numeric(german$Risk) - 1

lm_model <- glm(Risk ~ .,
  data = german,
  family = binomial(link = "logit")
)

explainer_lm <- DALEX::explain(lm_model, data = german[, -1], y = y_numeric)

fobject <- fairness_check(explainer_lm,
  protected = german$Sex,
  privileged = "male"
)

ac <- all_cutoffs(fobject)
plot(ac)

rf_model <- ranger::ranger(Risk ~ .,
  data = german,
  probability = TRUE,
  num.trees = 100,
  seed = 1
)


explainer_rf <- DALEX::explain(rf_model,
  data = german[, -1],
  y = y_numeric
)

fobject <- fairness_check(explainer_rf, fobject)

ac <- all_cutoffs(fobject)
plot(ac)

fairmodels documentation built on Aug. 24, 2022, 1:05 a.m.