plot.chosen_metric | R Documentation |
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.
## S3 method for class 'chosen_metric'
plot(x, ...)
x |
object of class |
... |
other objects of class |
ggplot2
object
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)
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