Compute the classification error (in %) of the inputs with respect to the targets of data.
Compute the classification error (in %) of the inputs with respect to the targets of data.The format of the class is given with a ClassFormat.
measure = {<[real] error proportion>, <[real] current number of errors>}
If the option "confusion matrix" is set, there is {<[n_classes**2 int] confusion matrix>, <[n_classes**2 int] current confusion matrix>} after that.
Options:
"confusion matrix" bool compute the confusion matrix [false]
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