print_fairness_radar: Print fairness radar

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

Print fairness radar

Description

Print fairness radar

Usage

## S3 method for class 'fairness_radar'
print(x, ...)

Arguments

x	fairness_radar object
...	other print parameters

Examples

data("german")

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

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

rf_model <- ranger::ranger(Risk ~ .,
  data = german,
  probability = TRUE,
  num.trees = 200,
  num.threads = 1
)

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

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


fradar <- fairness_radar(fobject)

print(fradar)

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