TESTD

Find classification error of dataset applied to given classifier

    [E,C] = TESTD(A,W)
    [E,C] = TESTD(A*W)
     E = A*W*TESTD

Input
A	Dataset
W	Classifier

Output
E	Fraction of labeled objects in A that is erroneously classified
C	Vector with numbers of erroneously classified objects per class.  They are sorted according to A.LABLIST

Description

This routine performs a straightforward testing of the labeled objects  in A by the classifier W. Unlabeled objects are neglected. Just a  fraction of the erroneously classified objects is returned. Not all  classes have to be present in A and class priors are neglected. TESTD thereby essentially differs from TESTC which tests the classifier instead  of the dataset. Labels found for the individual objects by the classifier  W may be retrieved by LABELD

See also

datasets, mappings, testd, labeld,