I agree with that. But that is not what these figures are. Evaluation percentage is purely a lever to reduce the size of the input for speed. If evaluation percentage is 0.15 (15%), then 85% of all data is thrown out upfront.
Training percentage is what you're talking about. If it is 90%, then 90% of the remaining data goes into the training model, and the other 10% of the remaining data is for testing. On Fri, Sep 24, 2010 at 3:01 AM, Stanley Ipkiss <[email protected]> wrote: > > But, what about the quoted text below. Do you agree that each sample point is > put in either the test or training set, and hence the two percentage have to > sum up to one for this particular implementation?
