Unreasonable prediction in unary classification with LibSVM weka
2012-05-03 14:39:37 GMT
I am doing a one class classification with the LibSVM classifier in weka.
I'm using "double pred = myClassi.classifyInstance(myInstance);" to get the predicted value. I tested with 6 instances from the same
training set and I get 4 instances as NaN and 2 as 0.0. I guess here NaN = outlier and 0.0 = relevant right?. But how do I get 4 outliers?
it's the same instances I used for training, so I should get all relevant.
What's going wrong here? I didn't do any parameter tuning, only -S 2 to say unary classification. I'm really stuck here.
_______________________________________________ Wekalist mailing list Send posts to: Wekalist <at> list.scms.waikato.ac.nz List info and subscription status: https://list.scms.waikato.ac.nz/mailman/listinfo/wekalist List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html