Hi,
I am using SVM for two class classification purpose using RBF kernel. Once SVM builds a optimal model, it to used to predict classes for  the new data. I was wondering if there is any metric or score that can be calculated from SVM which measures the quality of prediction for each new data point. So what I want to know is the can among different predictions, is there anyway to know which one is more accurate (according to classifier model) and which one is less accurate. Thanks.

Raj
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