2012/6/22 Kai Kuehne <[email protected]>: > Hi again, > > I looked at Olivers diagrams. I plot the error, Oliver the classification > score > which starts low (high error). So it's the same problem. Or isn't this > even a problem?
In my case with, when you have few training example, the training score is good (unless yo have a very high bias / regularizer / simple model) but the test score (as estimated by cross validation) is bad. This is exactly what is to be expected as explained by Jake's in his tutorial on in Andrew Ng's online video here: http://www.youtube.com/watch?v=g4XluwGYPaA -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
