On 02/14/2013 04:04 PM, Andreas Mueller wrote: > 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! > Would it be possible to provide your data or even better, some small dataset to reproduce the discrepancy?
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