score_one_minus_specificity {auditor} | R Documentation |
One minus specificity
score_one_minus_specificity(object, cutoff = 0.5, data = NULL, y = NULL, ...)
object |
An object of class |
cutoff |
Threshold value, which divides model predicted values (y_hat) to calculate confusion matrix.
By default it's |
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. |
An object of class auditor_score
.
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)