performance_logloss {performance} | R Documentation |
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
Examples
data(mtcars)
m <- glm(formula = vs ~ hp + wt, family = binomial, data = mtcars)
performance_logloss(m)
[Package performance version 0.12.2 Index]