dragons <- DALEX::dragons[1:100, ]
# fit a model
model_lm <- lm(life_length ~ ., data = dragons)
lm_audit <- audit(model_lm, data = dragons, y = dragons$life_length)
# validate a model with auditor
mr_lm <- model_residual(lm_audit)
# plot results
plot(mr_lm)
plot(mr_lm, type = "prediction")
hn_lm <- model_halfnormal(lm_audit)
plot(hn_lm)
library(randomForest)
model_rf <- randomForest(life_length~., data = dragons)
rf_audit <- audit(model_rf, data = dragons, y = dragons$life_length)
mp_rf <- model_performance(rf_audit)
mp_lm <- model_performance(lm_audit)
plot(mp_lm, mp_rf)
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