score_one_minus_specificity: One minus specificity

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

One minus specificity

Description

One minus specificity

Usage

score_one_minus_specificity(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 (y_hat) 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_specificity(glm_audit)

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