score_rec {auditor} | R Documentation |
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 |
data |
New data that will be used to calculate the score.
Pass |
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
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)
[Package auditor version 1.3.5 Index]