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Posted to dev@mahout.apache.org by "mansur (JIRA)" <ji...@apache.org> on 2014/01/08 10:34:50 UTC

[jira] [Created] (MAHOUT-1391) Possibility to disable confusion matrix in naive bayes

mansur created MAHOUT-1391:
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             Summary: Possibility to disable confusion matrix in naive bayes
                 Key: MAHOUT-1391
                 URL: https://issues.apache.org/jira/browse/MAHOUT-1391
             Project: Mahout
          Issue Type: New Feature
          Components: Classification
    Affects Versions: 1.0
            Reporter: mansur


Sometimes confusion matrix is to big and not really necessary.

And there is another case for the possibility:
If you split a dataset with many labels with random selection percent to testdataset and trainingdataset, it could happen, that there are classes/labels in testdata, which do not appear in the trainingdataset. By creating a model with the trainingdata the created labelindex does not include some labels from testdata. Therefore if you test on this model with the testdata, mahout tries to create a confusion matrix with the labels from testdata which are not included in the labelindex and throws an exception.



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