Hi, I noticed that, in certain cases, the features don't follow the correct ordering. Any idea why this is happening?
For example in this image, V10 appears after V1 On Tue, Aug 11, 2015 at 12:10 PM, Thushan Ganegedara <[email protected]> wrote: > Hi all, > > After a daunting struggle, I was able to corner the issue with the poor > accuracy for the specific leaf dataset. The dataset has classes from 1 to > 36. However, there are no classes from 16th - 22nd. i.e. Classes go as > 1,2,..,14,15,23,24,...,35,36 > > Then, while converting these class labels to enums in H-2-O (combined with > the fact that there's very little data for each class) confuses H-2-O and > causes it to *assign different enum values for the same classes in > different datasets*. Which manifest itself as a poor accuracy. > > I suspect that there's a mismatch between the labels provided by JavaRDD > and enums produced by H-2-O as well. I'm looking into this issue right now. > > Thank you > > On Mon, Aug 10, 2015 at 11:16 AM, Thushan Ganegedara <[email protected]> > wrote: > >> Hi all, >> >> I've been testing the new Deeplearning component with few different >> datasets (mainly leaf dataset) and the leaf dataset seems to be not working >> as expected for an unknown reason. >> >> However, I tested the Deeplearning component extensively with the leaf >> dataset and identified several potential problems that might be causing the >> poor accuracy. >> >> 1. Need to have higher number of epochs (compared to other datasets) to >> produce a reasonable accuracy. >> >> 2. Too many neurons causing overfitting thereby causing poor accuracy. >> >> 3. Some classes have quite closely related features (Especially the >> latter classes are misclassified often) >> >> I was able to get an accuracy of 86% with Logistic Regression L-BFGS. >> Which is quite reasonable. But I'm having trouble reaching that accuracy >> with Deeplearning (which should be quite easy). Highest accuracy I reached >> so far is 71.xx% >> >> So I'm still looking for any definite issues causing the poor accuracy. >> >> Thank you. >> >> >> -- >> Regards, >> >> Thushan Ganegedara >> School of IT >> University of Sydney, Australia >> > > > > -- > Regards, > > Thushan Ganegedara > School of IT > University of Sydney, Australia > -- Regards, Thushan Ganegedara School of IT University of Sydney, Australia
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