On 02/14/2013 03:59 PM, David Reed wrote: > I dont think this is the problem. My data is definetly oversampled, I > have 5000 samples for the 1 feature. > > I also should say that the problem that led be to LDA was seeing there > was a large bias between SVM classification accuracy in sklearn and > matlab. I am using the same parameters on both, and again testing on > my training. Using the same univariate data set, I see 0.63 from > matlab and 0.58 from sklearn. > Which version of scikit-learn are you using? Are you using sparse matrices? There was a weird bug in using sparse matrices and SVMs in an earlier version of sklearn. If there is still a discrepancy in either of the algorithms, we must investigate!
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