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March Machine Learning Mania 2023

saadithya by saadithya
February 28, 2023
in Expired
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March Machine Learning Mania 2023
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Another year, another chance to predict the upsets, call the probabilities, and put your bracketology skills to the leaderboard test. In our ninth annual March Machine Learning Mania competition, Kagglers will once again join the millions of fans who attempt to predict the outcomes of this year’s college basketball tournaments. Unlike most fans, you will pick the winners and losers using a combination of rich historical data and computing power, while the ground truth unfolds on television.

You are provided data of historical NCAA games to forecast the outcomes of the Division 1 Men’s and Women’s basketball tournaments. This competition is the official 2023 edition, with points, medals, prizes, and basketball glory at stake.

We have made several updates to the competition format compared to prior editions:

  1. There is a change in evaluation metric from log loss to Brier scores. See the Evaluation Page for full details.
  2. We are combining the Men’s and Women’s tournament into one single competition, instead of running separate tracks. The competition will award full points/medals as a result.
  3. We have changed the prediction format so that you may forecast the 2023 tournaments right away, instead of having to wait to see which teams are selected for the tournament.

We have also launched a companion warmup competition, which is setup as a practice leaderboard covering the previous five tournaments. Because its only for practice and the ground historical game outcomes are public information, the warmup competition does not count for points/medals and will be taken down once it has served its purpose. Prior to the start of the tournaments, the leaderboard of this competition will reflect all zero scores. Kaggle will periodically fill in the outcomes and rescore once games begin.

Awards:- 

  • 1st Place – $ 10,000
  • 2nd Place – $ 8,000
  • 3rd Place – $ 7,000
  • 4th – 8th Place(s) – $ 5,000

Deadline:- 16-03-2023

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