Sensitivity {MLmetrics} | R Documentation |
Sensitivity
Description
Compute the sensitivity score.
Usage
Sensitivity(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
Sensitivity
Examples
data(cars)
logreg <- glm(formula = vs ~ hp + wt,
family = binomial(link = "logit"), data = mtcars)
pred <- ifelse(logreg$fitted.values < 0.5, 0, 1)
Sensitivity(y_pred = pred, y_true = mtcars$vs, positive = "0")
Sensitivity(y_pred = pred, y_true = mtcars$vs, positive = "1")
[Package MLmetrics version 1.1.3 Index]