Specificity

0th

Percentile

Specificity

Compute the specificity score.

Usage
Specificity(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
Value

Specificity

Aliases
  • Specificity
Examples
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")
Documentation reproduced from package MLmetrics, version 1.1.1, License: GPL-2

Community examples

Looks like there are no examples yet.