Quote:
Originally Posted by MLearning
Regardless of the number of experiments run, libsvm returns Ein=0. I tried 10000 runs and libsvm sees a linearly separable data for all the runs. On the other hand, an Octave implementation that I wrote returns Ein ~=0 most of the time (clearly qp could not handle 100X100 matrix).
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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).