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Sameendra Samarawickrama | 3 May 2012 16:39

Unreasonable prediction in unary classification with LibSVM weka

Hi all,

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.

--
Regards,
Sameendra

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