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Stats Decision tree Classifier (Matlab Stats Toolbox)

     W = STATSDTC(A,'PARAM1',val1,'PARAM2',val2,...)
     W = A*STATSDTC([],'PARAM1',val1,'PARAM2',val2,...)
    D = B*W

 A Dataset used for training
 PARAM1 Optional parameter, see CLASSIFICATIONTREE.FIT
 B Dataset used for evaluation

 W Decision tree classifier
 D Classification matrix, dataset with posteriors


This is the PRTools interface to the CLASSIFICATIONTREE of the Matlab  Stats toolbox. See there for more information. It is assumed that objects  labels, feature labels and class priors are included in the dataset A.

The decision tree is stored in W and can be retrieved by T = +W or by  T = getdata(W). The Stats toolbox command VIEW can be used to visualize  it, either in the command window (default) or graphically setting the  'mode' options to 'graph'.

See also

datasets, mappings, dtc, treec, classificationtree, view,

PRTools Contents

PRTools User Guide

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