mlr_measures_ci function

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.

Examples

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

Super classes

mlr3::Measure -> mlr3inferr::MeasureAbstractCi -> Measure

Methods

Public methods

• list("MeasureCi$new()")

• list("MeasureCi$aggregate()")

• list("MeasureCi$clone()")

Method new()

Creates a new instance of this R6 class.

Usage

MeasureCi$new(measure)

Arguments

• measure: (Measure or character(1))

   A measure of ID of a measure.
  

Method aggregate()

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

Usage

MeasureCi$aggregate(rr)

Arguments

• rr: (ResampleResult)

   Resample result.
  

Returns

named numeric(3)

Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureCi$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.