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msle

Mean Squared Log Error

Description

Regression measure defined as

mean(log(1 + t) - log(1 + r))^2.

Usage

msle(truth, response, na_value = NaN, ...)

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.
na_value

(numeric(1))
Value that should be returned if the measure is not defined for the input (as described in the note). Default is NaN.
...

(any)
Additional arguments. Currently ignored.

Value

Performance value as numeric(1).

Meta Information

  • Type: "regr"

  • Range: [0, Inf)

  • Minimize: TRUE

  • Required prediction: response

Note

This measure is undefined if any element of t or r is less than or equal to -1.

See Also

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

Examples

set.seed(1)
truth = 1:10
response = truth + rnorm(10)
msle(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

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