2 ms·
Right there's over/under fitting. Train SD on the same data too many times it over produces it in results. Just because they tailor it to get more nebulous resu
by Riverheart 4y ago
Right there's over/under fitting. Train SD on the same data too many times it over produces it in results. Just because they tailor it to get more nebulous results doesn't mean the data doesn't exist in some form.