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