wmcr_result-class: "wmcr.result"

In CMA: Synthesis of microarray-based classification

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 [e-mail]

Anne-Laure Boulesteix [e-mail]

See Also

weighted.mcr

CMA documentation built on Nov. 8, 2020, 5:02 p.m.