Precision/Recall when using multiclass svm

TimL

Hey guys,

For a concept exctraction process task I am using a multiclass svm classifier. In most of the paper I have read, they evaluate their results by using precision/recall/f-measure etc.

Now ofcourse I use the 'polynomial by binomial classification' block, to make the svm do multiple classes. For performance I tried the 'Binominal Classification Performance' block however I get two  problems.
1) If I use it outside the 'polynomial by binomial classification' block, it says that the label is not binominal and thus it cant measure the performance.
2) If I use it inside the 'polynomial by binomial classification' block, it just doesnt show any performance at all.

I am almost certain that it is possible to do this, since I have read it different studies. Does anyone have an idea?

Cheers!

MartinLiebig

Hi TimL,

why do you want to use a binominal performance for a polynominal problem? I would suggest using the Performance (Classification) operator for this task. Of course this needs to be done on the testing side of your validation.

Cheers,
Martin

TimL

Hey Martin,

Thanks for your responds!

The values that I am working with are strings, and SVM cant handle polynominal values. However I just can not seem to get it to work. My input is basically five columns with words in it, one column being the classification. I have been trying every single combination but I cant get it to work.

Any suggestions?

Tim