Congrats to Vivek! And to Andreas for making this this "challenge-winning"
package possible :)
Best,
Wei
On Sun, Sep 23, 2012 at 3:41 AM, Vivek Sharma <vive...@gmail.com> wrote:
>
> Thanks Olivier, Andreas. And, again to the text classification module
> authors. sklearn rocks!
> I think I was quite lucky, but I'm not complaining! :)
>
> My feature set was almost the same as the char and word features that
> Andreas used. I found that SVC gave me better performance than LR. And,
> some normalizations that I did using a bad words list helped quite a bit as
> well. SVC alone would have been enough to win, although I did combine with
> RF and it improved the score marginally. These may have been the only
> differences. I did not use the datetime field. I had some other features,
> some were quite useful, but others not so much, and their effect canceled
> out.
>
>
>
> On Sat, Sep 22, 2012 at 11:01 AM, Olivier Grisel <olivier.gri...@ensta.org
> > wrote:
>
>> 2012/9/22 Andreas Mueller <amuel...@ais.uni-bonn.de>:
>> > On 09/22/2012 12:17 PM, Olivier Grisel wrote:
>> >> and to Andreas who finished in the 6th position out of 50 final
>> submitters.
>> >>
>> >> This contest was about text classification:
>> >>
>> >> http://www.kaggle.com/c/detecting-insults-in-social-commentary
>> >>
>> >> Any feedback on what scikit-learn models where used, which feature
>> >> extraction / blending techniques were useful and which were not
>> >> working as expected is always appreciated.
>> >>
>> > *SPAM*
>> > My post is here:
>> >
>> http://peekaboo-vision.blogspot.com/2012/09/recap-of-my-first-kaggle-competition.html
>>
>> Thanks!
>>
>> --
>> Olivier
>> http://twitter.com/ogrisel - http://github.com/ogrisel
>>
>>
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>
>
>
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>
--
LI, Wei
Tsinghua/CUHK
http://kuantkid.github.com/
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