MODSELC Model selection
V = MODSELC(A,W,N,NREP)
This routine selects out of a set of given classifiers stored in W the best one on the basis of N-fold crossvalidation (see CROSSVAL), which might be repeated NREP times. If W contains a set of already trained classifiers, N and NREP are neglected and just the best classifier according to the evaluation set A is returned.
This routine can be considered as a classifier combiner based on global selection. See DCSC for local, dynamic selection.