accuracy

Compute the accuracy classification score.

Usage

accuracy(y_pred, y_true)

Arguments

y_pred

Predicted labels vector, as returned by a classifier

y_true

Ground truth (correct) 0-1 labels vector

Value

accuracy

Examples

data(cars)
logreg <- glm(formula = vs ~ hp + wt,
              family = binomial(link = "logit"), data = mtcars)
pred <- ifelse(logreg$fitted.values < 0.5, 0, 1)
accuracy(y_pred = pred, y_true = mtcars$vs)
#> [1] 0.875