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I was going through an article on kaggle blogs. Repeatedly, the author mentions 'LB score' and 'LB fit') as a metric for effectiveness of machine learning (along with cross validation (CV) score).

With a research for the meaning of 'LB' I spent quite a bit of time, I realised that generally people directly refer it as LB without much background.

So my question is - What is a 'LB'?

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In the context of Kaggle, it means LeaderBoard (emphasis mine).

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  • $\begingroup$ thanks. it seems it's just applicable for the kaggle competitions. $\endgroup$
    – user345394
    May 8 '17 at 5:56
  • $\begingroup$ Correct. Unimportant. $\endgroup$
    – Emre
    May 8 '17 at 6:28
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    $\begingroup$ Worth adding that the score is usually just some standard metric such as log loss, and the focus on the LB score in discussion about Kaggle is around the use (and potential for over-use) of a long running public test set. $\endgroup$ May 8 '17 at 6:50
  • $\begingroup$ The question is what it is - spelling out the abbreviation is not saying much about what it is. I am surprised 22 people have upvoted it ! $\endgroup$
    – user702846
    Oct 28 '20 at 10:44
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    $\begingroup$ @RFNO Often the LB score on a Kaggle competition is a standard classification metric. You cannot easily translate between metrics, although usually a good score on one metric will correlate well with a good score on another. $\endgroup$ Sep 3 '21 at 6:24

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