[C, rate] = confmat(y, t)
[C, rate] = confmat(y, t) computes the confusion matrix C
and classification performance rate for the predictions mat{y}
compared with the targets t. The data is assumed to be in a
1-of-N encoding, unless there is just one column, when it is assumed to
be a 2 class problem with a 0-1 encoding. Each row of y and t
corresponds to a single example.
In the confusion matrix, the rows represent the true classes and the
columns the predicted classes. The vector rate has two entries:
the percentage of correct classifications and the total number of
correct classifications.
conffig, demtrainCopyright (c) Ian T Nabney (1996-9)