`Prec()` computes the Precision of PPV (Positive Predictive Value) between the output
of a classification model and the actual values of the target.
The precision of each class can be aggregated. Macro-precision is the average of the
precision of each classes. Micro-precision is the weighted average.
Usage
Prec(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
PPV (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)
Prec(ct)
#> It is identical to weighted Accuracy
#> [1] 0.8333333
