score_halfnormal {auditor} | R Documentation |
Half-Normal Score
Description
Score is approximately:
\sum{\#[res_i \leq simres_{i,j}] - n }
with the distinction that each element of sum is also scaled to take values from [0,1].
res_i
is a residual for i-th observation, simres_{i,j}
is the residual of j-th simulation
for i-th observation, and n
is the number of simulations for each observation.
Scores are calculated on the basis of simulated data, so they may differ between function calls.
Usage
score_halfnormal(object, ...)
scoreHalfNormal(object, ...)
Arguments
object |
An object of class |
... |
... |
Value
An object of class auditor_score
.
Examples
dragons <- DALEX::dragons[1:100, ]
# fit a model
model_lm <- lm(life_length ~ ., data = dragons)
# create an explainer
lm_audit <- audit(model_lm, data = dragons, y = dragons$life_length)
# calculate score
score_halfnormal(lm_audit)
[Package auditor version 1.3.5 Index]