mlr_measures_ci_ncv {mlr3inferr}R Documentation

Nested CV CI

Description

Confidence Intervals based on ResamplingNestedCV, including bias-correction. This inference method can only be applied to decomposable losses.

Parameters

Those from MeasureAbstractCi, as well as:

Super classes

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

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
MeasureCiNestedCV$new(measure)
Arguments
measure

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


Method clone()

The objects of this class are cloneable with this method.

Usage
MeasureCiNestedCV$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

References

Bates, Stephen, Hastie, Trevor, Tibshirani, Robert (2024). “Cross-validation: what does it estimate and how well does it do it?” Journal of the American Statistical Association, 119(546), 1434–1445.

Examples

ci_ncv = msr("ci.ncv", "classif.acc")
ci_ncv

[Package mlr3inferr version 0.1.0 Index]