Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual conffig Daniel@0: Daniel@0: Daniel@0: Daniel@0:

conffig Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Display a confusion matrix. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

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Daniel@0: conffig(y, t)
Daniel@0: fh = conffig(y, t)

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Daniel@0: Description Daniel@0:

Daniel@0: conffig(y, t) displays the confusion matrix Daniel@0: and classification performance for the predictions mat{y} Daniel@0: compared with the targets t. The data is assumed to be in a Daniel@0: 1-of-N encoding, unless there is just one column, when it is assumed to Daniel@0: be a 2 class problem with a 0-1 encoding. Each row of y and t Daniel@0: corresponds to a single example. Daniel@0: Daniel@0:

In the confusion matrix, the rows represent the true classes and the Daniel@0: columns the predicted classes. Daniel@0: Daniel@0:

fh = conffig(y, t) also returns the figure handle fh which Daniel@0: can be used, for instance, to delete the figure when it is no longer needed. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: confmat, demtrain

Daniel@0: Pages: Daniel@0: Index Daniel@0:

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