Quote:
Originally Posted by Andrs
How many experiments are you running with 100 training points?
If you are running enough experiments, you should get some experiments with data that are not linearly separable with the rbf kernel. Are you calculating your f(x) correctly?
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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).