You should use AdaptiveLogisticRegression, and you can try the MAHOUT-696.
Xiaobo Gu On Tue, Jul 5, 2011 at 1:30 AM, Vijay Santhanam <[email protected]> wrote: > Hi, > > 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. > > Thanks, > V >
