fairmodels (version 1.2.1)

plot.all_cutoffs: 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 all_cutoffs
plot(x, ..., label = NULL)

Value

ggplot2 object

Arguments

x

all_cutoffs object

...

other plot parameters

label

character, label of model to plot. Default NULL. If default prints all models.

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)
# \donttest{
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)
# }