score_rec: Area Over the Curve for REC Curves

In auditor: Model Audit - Verification, Validation, and Error Analysis

Area Over the Curve for REC Curves

Description

The area over the Regression Error Characteristic curve is a measure of the expected error for the regression model.

Usage

score_rec(object, data = NULL, y = NULL, ...)

scoreREC(object)

Arguments

object	An object of class explainer created with function explain from the DALEX package.
data	New data that will be used to calculate the score. Pass NULL if you want to use data from object.
y	New y parameter will be used to calculate score.
...	Other arguments dependent on the type of score.

Value

An object of class auditor_score.

References

J. Bi, and K. P. Bennet, "Regression error characteristic curves," in Proc. 20th Int. Conf. Machine Learning, Washington DC, 2003, pp. 43-50

See Also

plot_rec

Examples

dragons <- DALEX::dragons[1:100, ]

# fit a model
lm_model <- lm(life_length ~ ., data = dragons)

# create an explainer
lm_audit <- audit(lm_model, data = dragons, y = dragons$life_length)

# calculate score
score_rec(lm_audit)

auditor documentation built on Nov. 2, 2023, 6:13 p.m.