Hello,
I know that its ok to not get a 100% correct result on the training set as
long as one can get good accuracy on the test set.
I was using one class svm for data that had too few ssamples for 1 class.
I got 100% accuracy on the test set, but the accuracy on the training set
was less than 50%...so should I be trusting the model? Methinks not.
What is your opinion...what should be the minimum accuracy on the training
set?
Sincerely,
Monika Ray
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The sweetest songs are those that tell of our saddest thought...
Computational Intelligence Centre, Washington University St. louis, MO
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