choose_metric {fairmodels} | R Documentation |
Choose metric
Description
Extracts metrics from metric_data
from fairness object.
It allows to visualize and compare parity loss of chosen metric values across all models.
Usage
choose_metric(x, fairness_metric = "FPR")
Arguments
x |
object of class |
fairness_metric |
|
Value
chosen_metric
object
It is a list with following fields:
parity_loss_metric_data
data.frame
with columns: parity_loss_metric and labelmetric chosen metric
label character, vector of model labels
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)