LogLoss {MLmetrics} | R Documentation |
Log loss / Cross-Entropy Loss
Description
Compute the log loss/cross-entropy loss.
Usage
LogLoss(y_pred, y_true)
Arguments
y_pred |
Predicted probabilities vector, as returned by a classifier |
y_true |
Ground truth (correct) 0-1 labels vector |
Value
Log loss/Cross-Entropy Loss
Examples
data(cars)
logreg <- glm(formula = vs ~ hp + wt,
family = binomial(link = "logit"), data = mtcars)
LogLoss(y_pred = logreg$fitted.values, y_true = mtcars$vs)
[Package MLmetrics version 1.1.3 Index]