performance (version 0.3.0)

performance_logloss: Log Loss

Description

Compute the log loss for models with binary outcome.

Usage

performance_logloss(model, ...)

Arguments

model

Model with binary outcome.

...

Currently not used.

Value

Numeric, the log loss of model.

Details

Logistic regression models predict the probability of an outcome of being a "success" or "failure" (or 1 and 0 etc.). performance_logloss() evaluates how good or bad the predicted probabilities are. High values indicate bad predictions, while low values indicate good predictions. The lower the log-loss, the better the model predicts the outcome.

See Also

performance_score()

Examples

# NOT RUN {
data(mtcars)
m <- glm(formula = vs ~ hp + wt, family = binomial, data = mtcars)
performance_logloss(m)

# }