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similar parameters of JMySVMLearner and LibSVMLearner ?
I have a regression problem where I have a kind of "pseudo-extrapolation" of the data. With Matlab and newrb I reach pretty good results. The same holds for some other publicly available SVMs coded in Matlab. Also Treeboosts of DTREG produce pretty good results.
Furthermore LibSVMLearner of the Rapidminer produces with the simple process "ExampleSource->LibSVMLearner->ExampleSource->ModelApplier " pretty good forecasts for the following parameter set:
When I change to JMySVMLearner I never got good results, also when "playing" with the parameters. Admittedly I don´t know the exact meaning of the parameters. Does anybody of you have a good hint for me, which parameter combinations of JMySVMLearner will probably produce good results ? Are their some kind of "transformation rules" from LibSVMLearner to JMySVMLearner ?
Thank you all,