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interpreting the confusion matrix

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Hi

log shows as follows...................

2014-01-07 18:00:08 |
2014-01-07 18:00:08 0.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 0.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 1.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 0.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 24.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 15.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 0.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 23.0
2014-01-07 18:00:08 |
2014-01-07 18:00:08 37.0
2014-01-07 18:00:08 Total Number of Instances 100
2014-01-07 18:00:08 Mean rel. region size (0.95 level) 66.6667 %
2014-01-07 18:00:08 Coverage of cases (0.95 level) 99 %
2014-01-07 18:00:08 Root relative squared error 97.6154 %
2014-01-07 18:00:08 Relative absolute error 96.7819 %
2014-01-07 18:00:08 Root mean squared error 0.401
2014-01-07 18:00:08 Mean absolute error 0.3247
2014-01-07 18:00:08 Kappa statistic 0.218
2014-01-07 18:00:08 Incorrectly Classified Instances 39 39 %
2014-01-07 18:00:08 Correctly Classified Instances 61 61 %
2014-01-07 18:00:08 results:
2014-01-07 18:00:05 Options: [-I, -1, -M, 15, -W, 0.0, -A, , , , ]
2014-01-07 18:00:05 ClassIndex: CLASS_PREDICTED
Having difficulty understanding the incorrect classified instances [23 + 15 + 1] when I have only two nominal values ??

Bob M

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