Hey Kagglers,
\nWe’re happy to announce the conclusion of the HuBMAP - Hacking the Kidney competition with the NIH! It’s incredible to think that the Kaggle community has participated in the “next Human Genome Project,” and using your skills to further our scientific understanding of the human body This competition has been an exciting way to bring the cutting edge in machine learning to this branch of science. We hope you were able to learn a lot, and use your machine learning skills on this unique and complex challenge.
\nYou are also encouraged to come join us at the award ceremony on May 21, 1-3 EDT celebrating our winners. It will be livestreamed on the Kaggle Youtube Channel here
\nThis year’s competition ended with 1,646 participants on 1,216 teams! We had 35,333 submissions from 63 countries! For 534 users (including 69 users on top 100 teams!), this was their first competition. We also had 5 new Grandmasters and 10 new Masters at the conclusion of the competition! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nWe were excited to work with the team at InnovationDigi, Indiana University, the NIH and many more for this competition, including Andrea (Eli Lilly), Leah, Katy and Yignan from IU/NIH, Marcos, Richard, Eddie, Bud, Jarek, and Rick from Google; We're glad they choose Kaggle to be a platform to bring these types of problems to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future on future research projects.
\nWe're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nThe top potential winning teams for the Accuracy Prizes and qualified teams for the Judges Prizes have been contacted via email to provide their winning solutions for host review. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams.
\nYou should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.
\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top kernels, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.
\nHappy Modeling!
\nKaggle Team
Hey Kagglers,
\nWe’re happy to announce the conclusion of the HuBMAP - Hacking the Kidney competition with the NIH! It’s incredible to think that the Kaggle community has participated in the “next Human Genome Project,” and using your skills to further our scientific understanding of the human body This competition has been an exciting way to bring the cutting edge in machine learning to this branch of science. We hope you were able to learn a lot, and use your machine learning skills on this unique and complex challenge.
\nYou are also encouraged to come join us at the award ceremony on May 21, 1-3 EDT celebrating our winners. It will be livestreamed on the Kaggle Youtube Channel here
\nThis year’s competition ended with 1,646 participants on 1,216 teams! We had 35,333 submissions from 63 countries! For 534 users (including 69 users on top 100 teams!), this was their first competition. We also had 5 new Grandmasters and 10 new Masters at the conclusion of the competition! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nWe were excited to work with the team at InnovationDigi, Indiana University, the NIH and many more for this competition, including Andrea (Eli Lilly), Leah, Katy and Yignan from IU/NIH, Marcos, Richard, Eddie, Bud, Jarek, and Rick from Google; We're glad they choose Kaggle to be a platform to bring these types of problems to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future on future research projects.
\nWe're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nThe top potential winning teams for the Accuracy Prizes and qualified teams for the Judges Prizes have been contacted via email to provide their winning solutions for host review. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams.
\nYou should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.
\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top kernels, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.
\nHappy Modeling!
\nKaggle Team