Quote:
Originally Posted by DavidNJ
Which would be correct: LIBSVM or your Octave QP implementation?
Note, Eout varies, gets worse with a higher N, and with greater noise (presumably the RBF kernel is fitting the noise).
|
In my case, when I plot the training data, I can verify that the data is linearly separable. But my Octave impelemtation fails to see it. Personally, I would rely on libsvm given the fact it is designed to handle large matrices and uses efficient optimization techniques.