Holdout validation, data taken randomly? 3 questions

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In classification learner, I got this accuracy of 97% using gaussian SVM technique. I used holdout validation (125 set of data) with 25% data as test set.
Q1: These 25% data taken randomly? Q2: How do I know which data are taken for testing? I have two classes defined. Q3: Does it mean it will take half of the 25% data from class 1 and other half from class 2?

Accepted Answer

Sal
Sal on 30 Dec 2015
When you are doing the partition, what variable are you supplying to the function? This should be your class labels. That way, you can ensure that you have a "balanced" training and testing set e.g. they will contain roughly the same percentage of data from each class as in the original data. Yes, I believe this 25% data are taken randomly.

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