[Debtags-devel] AI Tagger status
Benjamin Mesing
bensmail@gmx.net
Tue, 12 Apr 2005 14:47:00 +0200
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Hello,
I've devoted some work to the AI Tagger recently. Mainly to be able to
determine were it stands right now. I have created an automated testing
script which tests the correctness of the AI tagging. With this mail I
want to give you a status report.
I'm still trying to improve the precision. One thing that Peter
mentioned some time ago was the inclusion of data from docs, manpages
and other stuff. I wrote a data harvesting script that collects the data
from the readme, news and even the changelog file in a database so it is
easy accessible. Though I think the most useful information can be found
in the readme files (changlog is probably useless). However this script
needs to be run on a machine where all packages are installed (or
modified to install the neccessary packages). I would like to run this
script somewhere and get the information produced (Enrico: you mentioned
something about this being possible?). I want to check if the
information can be used to improve the tagging precision.
I now present the results for the current tagging engine. I've performed
a test with a (mostly) randomly created testset of around 20 tags. A
more detailed output is attached to this mail which holds the statistics
for each tag (beauty-test-results-{date}).
Summary:
Tested Packages: =3D 6668
=20
Matches: 5182 ^=3D 0.777144571085783
Mismatches: 471 ^=3D 0.0706358728254349
Unsure: 1015 ^=3D 0.152219556088782
=20
Average match percentage: 0.819133777266375
Average mismatch percentage: 0.0896824581959319
Average unsure percentage: 0.0911837645376926
=20
False positives: 227 ^=3D 0.0340431913617277
Average false positive percentage: 0.0839093275421026
False negative: 244 ^=3D 0.0365926814637073
Average false negative percentage: 0.0952299902579352
=20
The second block with MMU (match,mismatch,unsure) gives the total number
of MMU and the percentage of each category.
The average MMU percentage (third block) gives the average of MMU
percentage for all tags. This weigths all tags equally independent of
the amount of packages tested for it.
The last block shows the number of false positives and negatives with
average percentage as described above.
=46rom the detailed statistics you can see, that the precision is highly
depended on the type of of tags. E.g. the field::* tags seem to give
quite good results. Now looking at the results perhaps I should take
some more tags into the testing set.
I hope for your comments!
Greetings Ben
Attachments:=20
beauty-test-results-{date}: result of the tags
test-taglist: tags that were tested
collect-doc.pl: data harvesting script
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