I would try using a chi squared Kernel. You can Start by using the
approximation provided in sklearn.
Cheers, andy
--
Diese Nachricht wurde von meinem Android-Mobiltelefon mit K-9 Mail gesendet.
Philipp Singer <kill...@gmail.com> schrieb:
Hey there!
I am currently trying to classify a dataset which has the following format:
Class1 0.3 0.5 0.2
Class2 0.9 0.1 0.0
...
So the features are probabilities that sum always up at exactly 1.
I have tried several linear classifiers but I am now wondering if there
is maybe some better way to classify such data and achieve better results.
Maybe someone has some ideas.
Thanks and regards,
Philipp
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