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'?


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. $\endgroup$ – rraadd88 May 8 '17 at 5:56
  • $\begingroup$ Correct. Unimportant. $\endgroup$ – Emre May 8 '17 at 6:28
  • $\begingroup$ 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. $\endgroup$ – Neil Slater May 8 '17 at 6:50

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