kerntools (version 1.2.0)

Spe: Specificity or TNR

Description

`Spe()` computes the Specificity or TNR (True Negative Rate) between the output of a classification prediction model and the actual values of the target.

Usage

Spe(ct, multi.class = "macro")

Value

TNR (a single value).

Arguments

ct

Confusion Matrix.

multi.class

Should the results of each class be aggregated, and how? Options: "none", "macro", "micro". (Defaults: "macro").

Examples

y <- c(rep("a",3),rep("b",2))
y_pred <- c(rep("a",2),rep("b",3))
ct <- table(y,y_pred)
Spe(ct)