Acc: Accuracy

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Accuracy

Description

'Acc()' computes the accuracy between the output of a classification model and the actual values of the target. It can also compute the weighted accuracy, which is useful in imbalanced classification problems. The weighting is applied according to the class frequencies in the target. In balanced problems, weighted Acc = Acc.

Usage

Acc(ct, weighted = FALSE)

Arguments

ct	Confusion Matrix.
weighted	If TRUE, the weighted accuracy is returned. (Defaults: FALSE).

Value

Accuracy of the model (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)
Acc(ct)
Acc(ct,weighted=TRUE)

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