wmcr.result-class: "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