Transcription of Cross-Validation - Lei Tang
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Cross-Validation - Lei Tang
Comp. by: BVijayalakshmiGalleys0000875816 Date:6/11/08 Time:19:52:53 Stage:First Proof File Path://ppdys1108/Womat3/Production/PRODE NV/0000000005/0000008302/0000000016/. Proof by: QC by: C. be available for each algorithm. Different methodolo- Cross-Validation gies such as averaging can be used to obtain an aggre- gate measure from these sample, or these samples can PAYAM R EFAEILZADEH , L EI TANG , H UAN L IU be used in a statistical hypothesis test to show that Arizona State University one algorithm is superior to another. Synonyms Historical Background Rotation estimation In statistics or data mining, a typical task is to learn a model from available data. Such a model may be a regression model or a classifier. The problem with eval- Definition uating such a model is that it may demonstrate adequate Cross-Validation is a statistical method of evaluating prediction capability on the training data, but might and comparing learning algorithms by dividing data fail to predict future unseen data.
Comp. by: BVijayalakshmiGalleys0000875816 Date:6/11/08 Time:19:52:53 Stage:First Proof File Path://ppdys1108/Womat3/Production/PRODENV/0000000005/0000008302/0000000016/
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