plot_group_metric: Plot group metric

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

Plot group metric

Description

Plot chosen metric in group. Notice how models are treating different subgroups. Compare models both in fairness metrics and in performance. Parity loss can be enabled when creating group_metric object.

Usage

## S3 method for class 'group_metric'
plot(x, ...)

Arguments

x	object of class group_metric
...	other group_metric objects and other parameters

Value

list of ggplot2 objects

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"
)

gm <- group_metric(fobject, "TPR", "f1", parity_loss = TRUE)
plot(gm)


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)

gm <- group_metric(fobject, "TPR", "f1", parity_loss = TRUE)

plot(gm)

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