RapidMiner

RapidMiner

SVM Multiclass Classification

Contributor II

SVM Multiclass Classification

How SVM will create hyperplane for multiclass label?
3 REPLIES
Super Contributor

Re: SVM Multiclass Classification

It can't, you have to use other techniques, e.g. the 1-vs.-all pattern as performed by the Polynominal by Binominal regression.
Implementations of the SVM that support multiple classes do something similar internally.


Best regards,
Marius
Regular Contributor

Re: SVM Multiclass Classification

Unfortunatelly I have to disagree,

 

LIBSVM is able to deal with multiclass classification, and if fact there's a connector to LIBSVM in RM, but then the LIBSVM results stays constrained by this strange architecture of Polynomial and Binomail that exists only in Rapidminer.

 

Even a simple IRIS problem, is not possible to obtain a simple AUC, F-Measure, or ROC, and the Polynomial by Binomial classification or regression, simply doesn't work.

 

There is mathematical formulation to abandon this polynomial and binomial architecture, and this is a widespread methodology in any machine learning tool like Weka, R, Phyton libs, etc.

I think it's time to abandon this Poly/Bin architecture, but this involves deep changes in the RM structure.

 

 

 

 

Regular Contributor

Re: SVM Multiclass Classification

Hi,

 

The Polynomial by Binomial classification or regression, is working fine, and I can't disagree and complain about Poly/Bin architecture, without to propose possible solutions and to contribute some how with this great platform. Possible solutions for this problem are discussed in this topic.