# NOT RUN {
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)
# }
# NOT RUN {
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)
# }
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