score_one_minus_acc: One minus accuracy

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

One minus accuracy

Description

One minus accuracy

Usage

score_one_minus_acc(object, cutoff = 0.5, data = NULL, y = NULL, ...)

Arguments

object	An object of class explainer created with function explain from the DALEX package.
cutoff	Threshold value, which divides model predicted values to calculate confusion matrix. By default it's 0.5.
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.

Examples

data(titanic_imputed, package = "DALEX")

# fit a model
model_glm <- glm(survived ~ ., family = binomial, data = titanic_imputed)

# create an explainer
glm_audit <- audit(model_glm,
                   data = titanic_imputed,
                   y = titanic_imputed$survived)

# calculate score
score_one_minus_acc(glm_audit)

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