plot_chosen_metric: Plot chosen metric

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

Plot 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'
plot(x, ...)

Arguments

x	object of class chosen_metric
...	other objects of class chosen_metric

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"
)


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

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


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

fobject <- fairness_check(explainer_rf, fobject)

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

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