Compute the log loss for models with binary outcome.
performance_logloss(model, verbose = TRUE, ...)
Model with binary outcome.
Toggle off warnings.
Currently not used.
Logistic regression models predict the probability of an outcome of being a
"success" or "failure" (or 1 and 0 etc.).
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.
Numeric, the log loss of
data(mtcars) m <- glm(formula = vs ~ hp + wt, family = binomial, data = mtcars) performance_logloss(m)
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