Anders,

I did send a message along afterwards apologizing. Did that not get through?

Too many apache projects start with 'm'.

--benson


On Fri, Apr 29, 2011 at 7:37 AM, Anders Hammar <[email protected]> wrote:
> Re-reading your mail a few times I seriously hope that this was posted to
> the wrong list, as I don't understand anything...?
>
> /Anders
>
> On Fri, Apr 29, 2011 at 13:30, Benson Margulies <[email protected]>wrote:
>
>> With some help from Ted (which I plan to turn into a checked-in tool
>> if he doesn't get there first), I'm running LR on my initial small
>> example.
>>
>> I adapted Ted's rcv1 sample to digest a directory containing
>> subdirectories containing exemplars.
>>
>> Ted's delightfully small program pushes all of the data into the model
>> 'n' times (n is 10 in my current variation. It displays the best
>> learner's accuracy at each iteration.
>>
>> The example is 1000 docs in 10 categories.
>>
>> With 20k-features, I note that the accuracy scores get worse on each
>> iteration of pushing the data into the model.
>>
>> After the first pass, the model hasn't trained yet. After the second,
>> accuracy is 95.6%, and then if drifts gracefully downward with each
>> additional iteration, landing at .83.
>>
>> I'm puzzled; I'm accustomed to overfitting causing scores to inflate,
>> but this pattern is not intuitive to me.
>>
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>

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