`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)
#> [1] 0.8
Acc(ct,weighted=TRUE)
#> [1] 0.8333333
