Root Mean Squared Error
Regression measure defined as
sqrt(mean((t - r)^2)).
rmse(truth, response, ...)
truth |
( |
response |
( |
... |
( |
Performance value as numeric(1)
.
Type: "regr"
Range: [0, Inf)
Minimize: TRUE
Required prediction: response
set.seed(1) truth = 1:10 response = truth + rnorm(10) rmse(truth, response)
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