What is a LB score in machine learning?



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'?


Posted 2017-05-08T05:13:24.117

Reputation: 365



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


Posted 2017-05-08T05:13:24.117

Reputation: 9 953

thanks. it seems it's just applicable for the kaggle competitions. – rraadd88 – 2017-05-08T05:56:37.533

Correct. Unimportant. – Emre – 2017-05-08T06:28:10.773

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. – Neil Slater – 2017-05-08T06:50:59.093

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 ! – user702846 – 2020-10-28T10:44:29.107