| Be | Aware! This routine needs a lot of maintenance!! (RD)
E = TESTCOST(A,W,C,LABLIST)
E = TESTCOST(A*W,C,LABLIST)
E = A*W*TESTCOST([],C,LABLIST)
| Input | | A | Dataset | | W | Trained classifier mapping | | C | Cost matrix | | LABLIST | Labels corresponding to the entries of C |
| Output | | E | Total classification cost |
Description Compute the misclassification cost using the cost matrix C. In LABLIST the corresponding classes should be listed. Note that classifier W should be a 'genuine' classifier, in the sense that the output of the classifier should be transformed using CLASSC. See for an example the help of costm.m. See also
(prtools, guide), testd, costm, setcost, getcost, | | This file has been automatically generated. If badly readable, use the help-command in Matlab. |