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.
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.
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 inthis topic.
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Implementations of the SVM that support multiple classes do something similar internally.
Best regards,
Marius
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.
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 inthis topic.