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https://issues.apache.org/jira/browse/MAHOUT-941?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13289439#comment-13289439
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Robin Anil commented on MAHOUT-941:
-----------------------------------
Complementary Results:
=======================================================
Summary
-------------------------------------------------------
Correctly Classified Instances : 68210 97.9058%
Incorrectly Classified Instances : 1459 2.0942%
Total Classified Instances : 69669
=======================================================
Confusion Matrix
-------------------------------------------------------
a b <--Classified as
27615 756 | 28371 a = commons.apache.org
703 40595 | 41298 b = cocoon.apache.org
=======================================================
Statistics
-------------------------------------------------------
Kappa : -1.1483
Accuracy : 0.6522
Consistency (stdev of accuracy) : 0.5052
I am seeing this. Why is accuracy 0.65 when its actually 0.987. Can you fix
this issue.
> Improve ConfusionMatrix statistics
> ----------------------------------
>
> Key: MAHOUT-941
> URL: https://issues.apache.org/jira/browse/MAHOUT-941
> Project: Mahout
> Issue Type: Improvement
> Components: Classification
> Reporter: Lance Norskog
> Assignee: Robin Anil
> Priority: Minor
> Fix For: 0.8
>
> Attachments: Bayes.zip, MAHOUT-941.patch, MAHOUT-941.patch, SGD.zip
>
>
> This patch adds more statistics to the ConfusionMatrix and RequestAnalyzer.
> # Add Kappa measure - a standard measure comparing a sample v.s. random
> assignment.
> # Add mean & standard deviation of individual labels - assist in identifying
> consistent mal-assignment v.s. high and low quality labels.
> Also, the SGD solver saves its model periodically to /tmp/news-groups-number.
> This patch moves those captures to the model/ output directory. (These
> intermediate models are interesting for tracking SGD incremental development.)
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