PRTools Contents

PRTools User Guide



MODSELC Model selection

    V = A*(W*MODSELC([],N,NREP))

 A Dataset used for training base classifiers and/or selection
 B Dataset used for testing (executing) the selector
 W Set of trained or untrained base classifiers
 N Number of crossvalidations, default 10
 NREP Number of crossvalidation repetitions

 V Selected classidfer


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.

See also

datasets, mappings, stacked, dcsc, classc, testd, labeld,

PRTools Contents

PRTools User Guide

This file has been automatically generated. If badly readable, use the help-command in Matlab.