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Posted to dev@mahout.apache.org by "Robin Anil (JIRA)" <ji...@apache.org> on 2012/06/05 14:19:23 UTC
[jira] [Commented] (MAHOUT-939) ASF Email Classification Examples
don't always produce good results
[ https://issues.apache.org/jira/browse/MAHOUT-939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13289364#comment-13289364 ]
Robin Anil commented on MAHOUT-939:
-----------------------------------
Fixed this, the new naivebayes classifier shows awesome results with asf mail archives.
encoding takes 200 seconds
train 222s
test 117s
12/06/04 18:18:49 INFO test.TestNaiveBayesDriver: Complementary Results: =======================================================
Summary
-------------------------------------------------------
Correctly Classified Instances : 68302 97.8342%
Incorrectly Classified Instances : 1512 2.1658%
Total Classified Instances : 69814
=======================================================
Confusion Matrix
-------------------------------------------------------
a b <--Classified as
27633 796 | 28429 a = commons.apache.org
716 40669 | 41385 b = cocoon.apache.org
> ASF Email Classification Examples don't always produce good results
> -------------------------------------------------------------------
>
> Key: MAHOUT-939
> URL: https://issues.apache.org/jira/browse/MAHOUT-939
> Project: Mahout
> Issue Type: Bug
> Affects Versions: 0.6
> Reporter: Grant Ingersoll
> Assignee: Robin Anil
> Labels: MAHOUT_INTRO_CONTRIBUTE
> Fix For: 0.8
>
> Attachments: 939.patch, MAHOUT-939.patch, MAHOUT-939.patch, MAHOUT-939.patch, asf_sample_list.txt, bayes.patch, strip_reject.patch
>
>
> The classification examples for the ASF email don't work all that well currently in terms of quality when it comes to more than a few labels. Also, need to determine how much memory is required for vectors of cardinality size 100K.
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