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confusion matrix

   Also found in: Wikipedia 0.01 sec.
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 theijth element represents the number of samples from classiwhich were classified as classj.


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The error of unmixed fraction images was quantified using the generalized area-based confusion matrix proposed by Lewis & Brown (2001).
 
 
 
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