mlr_measures_ci_con_z {mlr3inferr}R Documentation

Conservative-Z CI

Description

The conservative-z confidence intervals based on the ResamplingPairedSubsampling. Because the variance estimate is obtained using only n / 2 observations, it tends to be conservative. This inference method can also be applied to non-decomposable losses.

Parameters

Only those from MeasureAbstractCi.

Super classes

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

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
MeasureCiConZ$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
MeasureCiConZ$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

References

Nadeau, Claude, Bengio, Yoshua (1999). “Inference for the generalization error.” Advances in neural information processing systems, 12.

Examples

ci_conz = msr("ci.con_z", "classif.acc")
ci_conz

[Package mlr3inferr version 0.1.0 Index]