Rec: Recall or Sensitivity or TPR

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Recall or Sensitivity or TPR

Description

'Rec()' computes the Recall, also known as Sensitivity or TPR (True Positive Rate), between the output of a classification model and the actual values of the target.

Usage

Rec(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

TPR (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)
Rec(ct)

kerntools documentation built on April 3, 2025, 7:52 p.m.