How can I solve the following ordinal classification problem?

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Hi
I have about 100 samples to classify using 4 classes. This classes are ordinal (i.e. ranked like AAA AA A BBB...). I can use any subset of features ranging from 1 to about 40, so a Feature Selection step is to be taken into account to avoid overfitting and make the model simple enough. A possible solution can be ordinal regression. Are there any other possibilities, i.e. using more complex classifiers and make them taking into account the fact that my classes are ordinal? (if I use bagged decision trees, SVM, neural networks and staff like that)
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Walter Roberson
Walter Roberson on 20 Apr 2014
note that SVM is included as part of the Stats toolbox these days.
MatlabGuest
MatlabGuest on 20 Apr 2014
thanks Walter, could you show how to use the matlab svm for ordinal regression problems?

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