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Multidimensional Regression on LHC collision jets background cover

cern-hep-challenge-2025 / Multidimensional Regression on LHC collision jets

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Marcinmarcinj8

3

Posted last yr.

Score clarification

Hi,
Just making sure - is the score which shows up on the leaderboard better when lower? So a score of 0 would be the best possible score?
Apologies for asking such a trivial question but I couldn't attend the AMA sessions!
Thanks,
Marcin

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Yacine Haddad

3

Posted by yhaddad • last yr.

Hi Marcin,
Yes, you’re absolutely right. Lower scores are better. The leaderboard score is based on the Kullback-Leibler (KL) divergence, which measures the difference between your predicted distributions (In our scase the Jet Multiplicity Distribution and Leading & Subleading Jet pTp_TpT​) and the ground truth. A perfect score of 0 would mean your predictions exactly match the true distributions (i.e P(i)=Q(i)P(i) = Q(i)P(i)=Q(i)), though that is very hard to achieve in practice, so it's very unlikely.
No worries at all about the question, happy to clarify, and thanks for checking in.
Cheers, Yacine

Jannes Stubbemann

1

Posted by stubbi • last yr.

Hi @marcinj8,
Thanks for bringing this up! I think the overview is wrong in this case. Higher score is better.
Best,
Jannes

Jannes Stubbemann

1

Posted by stubbi • last yr.

@marcinj8 actually my statement might be wrong. Waiting for official statement by @cern

Jagatheesan Kunasaikaran

2

Posted by jag • last yr.

I'm interested to know too. :)