Why for 10-fold cross validations Weka runs learning algorithm 11 times?

Question

I am currently working on WEKA , and just want to know why in cross validation using 10 fold cross validation, learning algorithm runs 11 time

buest guess is that it refits on the whole dataset afterwards — lejlot, May 09 '16 at 23:08
http://stackoverflow.com/questions/19167287/cross-validation-weka-api/19167712#19167712 I believe lejlot's answer is correct, the reasoning in the referenced question explains why. — Walter, May 10 '16 at 01:52

score 1 · Accepted Answer · answered May 10 '16 at 02:57

1

Weka first builds a model on the entire dataset (if you right click on the experiment you can save this), and then performs the 10-fold cross-validation.

answered May 10 '16 at 02:57

DMML

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Why for 10-fold cross validations Weka runs learning algorithm 11 times?

1 Answers1