wmcr.result-class {CMA} | R Documentation

## "wmcr.result"

### Description

Object returned by function `weighted.mcr`.

### Slots

`corrected.mcr`:

  The corrected misclassification rate for the best method.

`best.method`:

  The method which performed best in the subsampling approach.

`mcrs`:

  Misclassification rates of all classifiers used in the subsampling approach.

`weights`:

  The weights used for the different classifiers in the correction method.

`cov`:

  Estimated covariance matrix for the misclassification rates of the different classifiers.

`uncorrected.mcr`

  The uncorrected misclassification rate of the best method.

`ranges`

  Minimum and maximal mean misclassification rates as well as the theoretical bound for nested cross validation (averaging over foldwise minima or maxima respectively).

`mcr.m`

  matrix of resampling fold errors, columns correspond to the fold errors of a single classifier

`shrinkage`

  a logical value indicating whether shrinkage (WMCS) has been aplied.

### Methods

show

  Use `show(wmcr.result-object)` for brief information

### Author(s)

Christoph Bernau bernau@ibe.med.uni-muenchen.de

Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de

### See Also

`weighted.mcr`

[Package CMA version 1.42.0 Index]