auditor (version 1.3.5)

score_halfnormal: 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, ...)

Value

An object of class auditor_score.

Arguments

object

An object of class explainer created with function explain from the DALEX package.

...

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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)