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rmse

Root-Mean-Squared Error


Description

Weighted root-mean-squared error of predicted values. Equals the square root of mean-squared error. Smaller values are better.

Usage

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

Arguments

actual

Observed values.

predicted

Predicted values.

w

Optional case weights.

...

Further arguments passed to mse.

Value

A numeric vector of length one.

See Also

mse.

Examples

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

MetricsWeighted

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

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