Log Loss
Compute the log loss for models with binary outcome.
performance_logloss(model, verbose = TRUE, ...)
model |
Model with binary outcome. |
verbose |
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.). 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.
Numeric, the log loss of model.
data(mtcars) m <- glm(formula = vs ~ hp + wt, family = binomial, data = mtcars) performance_logloss(m)
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