Evaluation doubt

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Fabio Gobbato
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Full name: Fabio Gobbato

Evaluation doubt

Post by Fabio Gobbato »

In the evaluation function is it better to have a few weights but well tuned or more weights not well tuned?
What does your experience say?
ZirconiumX
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Re: Evaluation doubt

Post by ZirconiumX »

Fewer, but better. Fewer weights helps with orthogonality, and the tuning may well make up for the missing terms. Plus, the terms will harmonise themselves with your search, increasing search speed.
tu ne cede malis, sed contra audentior ito
BeyondCritics
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Re: Evaluation doubt

Post by BeyondCritics »

Read chapter 5 of this book
http://www.deeplearningbook.org/
anf you can dicuss the question yourself. Or read any introduction into "Machine Learning".
Ferdy
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Re: Evaluation doubt

Post by Ferdy »

BeyondCritics wrote:Read chapter 5 of this book
http://www.deeplearningbook.org/
anf you can dicuss the question yourself. Or read any introduction into "Machine Learning".
Good info, thanks.
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Fabio Gobbato
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Re: Evaluation doubt

Post by Fabio Gobbato »

Of course less weights are easier to tune, but even if they are well tuned they can't express all the knowledge of a more complex evaluation.
So the answer is not so easy.