Bernoulli Deviance
Calculates weighted average of unit Bernoulli deviance. Defined as twice logLoss. The smaller the deviance, the better.
deviance_bernoulli(actual, predicted, w = NULL, ...)
actual |
Observed values (0 or 1). |
predicted |
Predicted values strictly between 0 and 1. |
w |
Optional case weights. |
... |
Further arguments passed to |
A numeric vector of length one.
deviance_bernoulli(c(0, 0, 1, 1), c(0.1, 0.1, 0.9, 0.8)) deviance_bernoulli(c(1, 0, 0, 1), c(0.1, 0.1, 0.9, 0.8)) deviance_bernoulli(c(0, 0, 1, 1), c(0.1, 0.1, 0.9, 0.8), w = 1:4)
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