Compute the recall score.
Usage
recall(y_true, y_pred, positive = NULL)
Arguments
- y_true
Ground truth (correct) 0-1 labels vector
- y_pred
Predicted labels vector, as returned by a classifier
- positive
An optional character string for the factor level that
corresponds to a "positive" result
Examples
data(cars)
logreg <- glm(formula = vs ~ hp + wt,
family = binomial(link = "logit"), data = mtcars)
pred <- ifelse(logreg$fitted.values < 0.5, 0, 1)
recall(y_pred = pred, y_true = mtcars$vs, positive = "0")
#> [1] 0.8333333
recall(y_pred = pred, y_true = mtcars$vs, positive = "1")
#> [1] 0.9285714