MLmetrics (version 1.1.0)

LogLoss: 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)