MetricsWeighted: mse – R documentation

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mse

Mean-Squared Error

Calculates weighted mean-squared error of prediction. Equals mean unit normal deviance. The smaller, the better.

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

`actual`	Observed values.
`predicted`	Predicted values.
`w`	Optional case weights.
`...`	Further arguments passed to `weighted_mean`.

A numeric vector of length one.

mse(1:10, c(1:9, 12))
mse(1:10, c(1:9, 12), w = rep(1, 10))
mse(1:10, c(1:9, 12), w = 1:10)

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