The RapidMiner community is on read-only mode until further notice. Technical support via cases will continue to work as is. For any urgent licensing related requests from Students/Faculty members, please use the Altair academic forum here.
SVMWeighting
Hi everyone!
My question is about how SVMWeighting works exactly.
I went to see the java code but i didn't quite understand it all.
Does anyone know how it really works, could anyone write here a brief description but more descriptive than the rapidminer manual??
Or maybe the pseudocode for this algorithm?
Thanks in advance!!
Ana Luísa
My question is about how SVMWeighting works exactly.
I went to see the java code but i didn't quite understand it all.
Does anyone know how it really works, could anyone write here a brief description but more descriptive than the rapidminer manual??
Or maybe the pseudocode for this algorithm?
Thanks in advance!!
Ana Luísa
0
Answers
SVMWeighting is very simple. As the description states, it uses the coefficients of a linear SVM hyperplane as weights for the attributes. If more than one class is given, a one versus all approch is used to gain all coefficients which are then averaged.
The more complex aspect of this algorithm hides behind the linear SVM...
Greetings,
Sebastian