search2009.02.16 15:12
While an overly complex system may allow perfect classification of the training samples, it is unlikely perform well on new patterns. This situation is Known as overfitting. One of the most important areas of research in statistical pattern classification is determining how to adjust the complexity of the model - not so simple that it can not explain the difference between the categories, yet not so complex as to give poor classification on novel patterns. Are there principled methods for finding the best complexity for a classifier?

from  prof. Richard Duda's book 
Posted by myditto

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