Spe {kerntools} | R Documentation |
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")
Arguments
ct |
Confusion Matrix. |
multi.class |
Should the results of each class be aggregated, and how? Options: "none", "macro", "micro". (Defaults: "macro"). |
Value
TNR (a single value).
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)
[Package kerntools version 1.0.2 Index]