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From Vijay Santhanam <>
Subject how do I choose appropriate OnlineLogisticRegression parameters for modelling this?
Date Mon, 04 Jul 2011 17:30:10 GMT

I'm trying to model the following training data that's targeting the gender
and from what I've been reading in the archives of the mailing list, the
OnlineLogisticRegression classifier is the easiest to get up and running..

 sex height (feet) weight (lbs) foot size(inches) male 6 180 12 male 5.92
(5'11") 190 11 male 5.58 (5'7") 170 12 male 5.92 (5'11") 165 10 female
5 1006female5.5 (5'6")1508female5.42 (5'5")1307female5.75 (5'9")1509

But, I don't know what process to adopt that will allow me to fine tune the
parameters of the learner so it will pick the following as female..
 sex height (feet) weight (lbs) foot size(inches) sample 6 130 8

I'm just guessing parameters at the moment. Does anyone have any advice for
fine tuning the learner for these parameters?

I'd really appreciate some guidance or general advice about how to approach
a problem like this, or which algorithm to use.


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