MLmetrics (version 1.0.0)

LogLoss: Log loss/Cross-Entropy Loss

Description

Compute the log loss/cross-entropy loss.

Usage

LogLoss(y_true, y_pred)

Arguments

y_true

Ground truth (correct) 0-1 labels vector

y_pred

Predicted labels vector, as returned by a classifier

Value

• Log loss/Cross-Entropy Loss

Examples

data(cars)
logreg <- glm(formula=vs~hp+wt, family=binomial(link = "logit"), mtcars)
LogLoss(y_true=mtcars$vs, y_pred=logreg$fitted.values)