Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

sse

Sum of Squared Errors

Description

Regression measure defined as

sum((t - r)^2).

Usage

sse(truth, response, ...)

Arguments

truth

(numeric())
True (observed) values. Must have the same length as response.
response

(numeric())
Predicted response values. Must have the same length as truth.
...

(any)
Additional arguments. Currently ignored.

Value

Performance value as numeric(1).

Meta Information

  • Type: "regr"

  • Range: [0, Inf)

  • Minimize: TRUE

  • Required prediction: response

See Also

Other Regression Measures: bias(), ktau(), mae(), mape(), maxae(), maxse(), medae(), medse(), mse(), msle(), pbias(), rae(), rmse(), rmsle(), rrse(), rse(), rsq(), sae(), smape(), srho()

Examples

set.seed(1)
truth = 1:10
response = truth + rnorm(10)
sse(truth, response)
mlr3measures

Performance Measures for 'mlr3'

v0.3.1
LGPL-3
Authors
Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Martin Binder [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.