Default CI Method

For certain resampling methods, there are default confidence interval methods. See mlr3::mlr_reflections$default_ci_methods for a selection. This measure will select the appropriate CI method depending on the class of the used Resampling.

Parameters

Only those from MeasureAbstractCi.

Super classes

mlr3::Measure -> MeasureAbstractCi -> Measure

Methods

Public methods

• Measure$new()

• Measure$aggregate()

• Measure$clone()

Inherited methods

• mlr3::Measure$format()
• mlr3::Measure$help()
• mlr3::Measure$obs_loss()
• mlr3::Measure$print()
• mlr3::Measure$score()

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Measure$new()

Creates a new instance of this R6 class.

Usage

Measure$new(measure)

Arguments

measure

(Measure or character(1))
A measure of ID of a measure.

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Measure$aggregate()

Obtain a point estimate, as well as lower and upper CI boundary.

Usage

Measure$aggregate(rr)

Arguments

rr

(ResampleResult)
Resample result.

Returns

named numeric(3)

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Measure$clone()

The objects of this class are cloneable with this method.

Usage

Measure$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

rr = resample(tsk("sonar"), lrn("classif.featureless"), rsmp("holdout"))
rr$aggregate(msr("ci", "classif.acc"))
#>       classif.acc classif.acc.lower classif.acc.upper 
#>         0.3913043         0.2753062         0.5073025 
# is the same as:
rr$aggregate(msr("ci.holdout", "classif.acc"))
#>       classif.acc classif.acc.lower classif.acc.upper 
#>         0.3913043         0.2753062         0.5073025