MetricsWeighted: logLoss – R documentation

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logLoss

Log Loss/Binary Cross Entropy

Calculates weighted logloss resp. cross entropy. Equals half of the unit Bernoulli deviance. The smaller, the better.

logLoss(actual, predicted, w = NULL, ...)

`actual`	Observed values (0 or 1).
`predicted`	Predicted values strictly larger than 0 and smaller than 1.
`w`	Optional case weights.
`...`	Further arguments passed to `weighted_mean`.

A numeric vector of length one.

logLoss(c(0, 0, 1, 1), c(0.1, 0.1, 0.9, 0.8))
logLoss(c(1, 0, 0, 1), c(0.1, 0.1, 0.9, 0.8))
logLoss(c(0, 0, 1, 1), c(0.1, 0.1, 0.9, 0.8), w = 1:4)

Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning

v0.5.2

GPL (>= 2)

Authors

Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]

Initial release

2021-04-16