Within classes folds are randomly assigned.
See eg Seewald callClassifier implementation.
At 12:17 3/2/05 -0700, Surendra Singhi wrote:
10fold cross validation means that a test is done
10 times. Everytime
with another random 10% of the data.
Who said it is random? Cross-validation is not done with random 10% of
In fact the data is first stratified and then divided into 10(num_folds)
folds and then out of these folds in each turn separate 9
folds(num_folds-1) are used for training and the remaining 1 fold for
The results of the 10 tests are given as an
output by WEKA> these are
But averages aren't very usefull without any information on how the 10
seperate tests performed... Are all 10 tests almost the same? Or does
one score 100% and the other 0%?
Hope the above has answered all your questions.
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