print_chosen_metric: Print chosen metric

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

Print chosen metric

Description

Choose metric from parity loss metrics and plot it for every model. The one with the least parity loss is more fair in terms of this particular metric.

Usage

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

Arguments

x	chosen_metric 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"
)

cm <- choose_metric(fobject, "TPR")
print(cm)

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