confusion matrix

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confusion matrix

[kən′fyü·zhən ‚mā·triks]
(computer science)
In pattern recognition, a matrix used to represent errors in assigning classes to observed patterns in which the ij th element represents the number of samples from class i which were classified as class j.
References in periodicals archive ?
Whereas the matching process has been repeated over 80 x 80 images to produce a matching matrix with 6400 elements for evaluating the CPU based matching, and 80 elements for evaluating the GPU based matching with the average time.