plot_metric_scores: Plot metric scores

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

Plot metric scores

Description

Plot metric scores

Usage

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

Arguments

x	metric_scores object
...	other plot parameters

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"
)

ms <- metric_scores(fobject, fairness_metrics = c("ACC", "TPR", "PPV", "FPR", "STP"))
plot(ms)


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)

ms <- metric_scores(fobject, fairness_metrics = c("ACC", "TPR", "PPV", "FPR", "STP"))
plot(ms)

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