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Precision/Recall when using multiclass svm
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?