Precision/Recall when using multiclass svm
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!
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!
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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
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
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