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Old 08-21-2012, 07:42 AM
Andrs Andrs is offline
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Join Date: Jul 2012
Posts: 47
Default Using the whole Data lec13

In the lecture 13 (Validation),
The 10-Fold cross validation mechanism with the training data D is used to select the best "learning model" . My question is if there is any point in running the selected hypothesis (best_Hypotheses in the selected model) using the whole training data set (D) in order to get a better estimate of Eout . Or is the Ecv (cross validation Error) a good enough estimate of Eout.
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