mlr_measures_ci_con_z function

Conservative-Z CI

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.

Examples

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

References

Nadeau, Claude, Bengio, Yoshua (1999). Inference for the generalization error.

Advances in neural information processing systems, 12 .

Super classes

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

Methods

Public methods

• list("MeasureCiConZ$new()")

• list("MeasureCiConZ$clone()")

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.