wmcr_result-class: "wmcr.result"
In chbernau/CMA: Synthesis of microarray-based classification

Object returned by function weighted.mcr.

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.