In the example confusion matrix below, of the 8 actual cats, the system predicted that three were dogs, and of the six dogs, it predicted that one was a rabbit and two were cats.
Confusion Matrix (in Neural Networks). A name sometimes given to a matrix, in a classification problem, displaying the numbers of cases actually belonging to each class, and assigned by the neural network to that or other classes.
=== Confusion Matrix ===
J48
Relation: diebold
Correctly Classified Instances 206 89.1775 %
Incorrectly Classified Instances 25 10.8225 %
Kappa statistic 0.7812
Mean absolute error 0.1804
Root mean squared error 0.3088
Relative absolute error 36.
 See also: Classification, Neural network, Regression, Validation, Data mining
  
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