performance_logloss: Log Loss

In performance: Assessment of Regression Models Performance

Log Loss

Description

Compute the log loss for models with binary outcome.

Usage

performance_logloss(model, verbose = TRUE, ...)

Arguments

model	Model with binary outcome.
verbose	Toggle off warnings.
...	Currently not used.

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.

Value

Numeric, the log loss of model.

See Also

performance_score()

Examples

data(mtcars)
m <- glm(formula = vs ~ hp + wt, family = binomial, data = mtcars)
performance_logloss(m)

performance documentation built on Nov. 2, 2023, 5:48 p.m.