Closed gianba closed 10 years ago
Have you tried them out yet?
Well...:-) maxStepFeature didn't help and I think the early/late part doesn't make too much sense. That's why I commented it out. maxAmplitude is currently running, but on individual subjects I looked promising. I think it's okay to add pull features even if they are not perfect. We can always not use them or work further on feature selection. What we need is a better way to assess the quality. The current svm predictions are not stable in a sense, that we run a parameter optimization everytime, which is based on a 10-fold CV. This introduces some randomness, which lead to slightly different parameter settings and results everytime we run the whole thing. There are two things I'm currently looking at: Fixing the parameters on a pretty optimal set (which will result in reproducable results) and implementing a proper validation based on AUC on all subjects...
two heuristic features added. currently they are commented out. maxAmplitudeChange is hopefully useful...