`F1()` computes the F1 score between the output of a classification prediction model
and the actual values of the target.
Usage
F1(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
F1 (a single value).
Details
F1 corresponds to the harmonic mean of Precision and Recall.
Examples
y <- c(rep("a",3),rep("b",2))
y_pred <- c(rep("a",2),rep("b",3))
ct <- table(y,y_pred)
F1(ct)
#> [1] 0.8
