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$new(measure)
Arguments
measure
(
Measure
orcharacter(1)
)
A measure of ID of a measure.
Method clone()
The objects of this class are cloneable with this method.
Usage
MeasureCiConZ$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]