{ "id": 209892, "title": "Leaderboard Finalized - Congratulations to the Winners; Recap", "url": "/competitions/riiid-test-answer-prediction/discussion/209892", "author_name": "Addison Howard", "post_date": "2021-01-09T01:22:09.987000", "votes": 47, "comment_count": 8, "views": 0, "content": "

Hey Kagglers,

\n

The Riiid! Answer Correctness Prediction competition has closed! We hope you were able to learn a lot, and use your machine learning skills on this exciting education competition!

\n

This year’s competition ended with 4,387 participants on 3,395 teams! We had 64,378 submissions from 89 countries! For 852 users (including 2 in the top 10!), this was their first competition. We also had 2 new Grandmasters, and 12 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!

\n

We were excited to work with the team at the Riiid, particularly Jin, Tim, and Karis) for this competition. They’ve been true model hosts, and 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.

\n

We'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.

\n

We'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.

\n

The top potential winning teams 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.

\n

You should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.

\n

In 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.

\n

Happy Modeling!
\nKaggle Team

\n

Top Solution Writeups

\n\n

Top Notebooks

\n\n

Other Top Discussions

\n", "messages": [ { "id": 1145208, "postDate": "2021-01-09T01:22:09.987Z", "content": "

Hey Kagglers,

\n

The Riiid! Answer Correctness Prediction competition has closed! We hope you were able to learn a lot, and use your machine learning skills on this exciting education competition!

\n

This year’s competition ended with 4,387 participants on 3,395 teams! We had 64,378 submissions from 89 countries! For 852 users (including 2 in the top 10!), this was their first competition. We also had 2 new Grandmasters, and 12 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!

\n

We were excited to work with the team at the Riiid, particularly Jin, Tim, and Karis) for this competition. They’ve been true model hosts, and 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.

\n

We'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.

\n

We'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.

\n

The top potential winning teams 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.

\n

You should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.

\n

In 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.

\n

Happy Modeling!
\nKaggle Team

\n

Top Solution Writeups

\n\n

Top Notebooks

\n\n

Other Top Discussions

\n", "rawMarkdown": "Hey Kagglers,\n\nThe Riiid! Answer Correctness Prediction competition has closed! We hope you were able to learn a lot, and use your machine learning skills on this exciting education competition!\n\nThis year’s competition ended with 4,387 participants on 3,395 teams! We had 64,378 submissions from 89 countries! For 852 users (including 2 in the top 10!), this was their first competition. We also had 2 new Grandmasters, and 12 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! \n\nWe were excited to work with the team at the Riiid, particularly [Jin](https://www.kaggle.com/jineonjinbaek), [Tim](https://www.kaggle.com/hoonpyotimjeon), and [Karis](https://www.kaggle.com/karischang)) for this competition. They’ve been true model hosts, and 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. \n\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.\n\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](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nThe top potential winning teams 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.\n\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.\n\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.\n\nHappy Modeling!\nKaggle Team\n\n###Top Solution Writeups\n- [3rd Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209585)\n- [6th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209581)\n- [11th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209694)\n- [12th Place A](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209635)\n- [12th Place B](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209683)\n- [13th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209622)\n- [16th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209798)\n- [17th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209713)\n- [18th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209597)\n- [20th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209587)\n- [21st Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/210025)\n- [24th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209625)\n- [28th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/210041)\n- [37th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209624)\n- [38th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209689)\n- [42nd Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209596)\n\n###Top Notebooks\n- [Tutorial on reading large datasets](https://www.kaggle.com/rohanrao/tutorial-on-reading-large-datasets)\n- [Riiid: Comprehensive EDA + Baseline](https://www.kaggle.com/erikbruin/riiid-comprehensive-eda-baseline)\n- [Riiid! Answer Correctness Prediction EDA. Modeling](https://www.kaggle.com/isaienkov/riiid-answer-correctness-prediction-eda-modeling)\n- [Competition API Detailed Introduction](https://www.kaggle.com/sohier/competition-api-detailed-introduction)\n- [LGBM with Loop Feature Engineering](https://www.kaggle.com/its7171/lgbm-with-loop-feature-engineering)\n- [CV Strategy](https://www.kaggle.com/its7171/cv-strategy)\n- [Riiid model LGBM](https://www.kaggle.com/ragnar123/riiid-model-lgbm)\n- [Riiid with blazing fast RID](https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid)\n- [Riiid! Training and Prediction using a state](https://www.kaggle.com/markwijkhuizen/riiid-training-and-prediction-using-a-state)\n- [Answer Correctness - RAPIDS, XGB, LGBM](https://www.kaggle.com/andradaolteanu/answer-correctness-rapids-xgb-lgbm)\n- [TPU Track Knowledge states of 1M students] (https://www.kaggle.com/yihdarshieh/tpu-track-knowledge-states-of-1m-students)\n\n###Other Top Discussions\n- [A few notes...](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/196942)\n- [Beware of target leakage](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/189437)\n- [Papers on Knowledge Tracing and Education](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/188911)\n- [An interesting Pattern detected for Repeated Questions](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/194266)\n- [SAINT benchmark](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/195632)\n", "votes": 47 }, { "id": 1146136, "postDate": "2021-01-09T15:00:22.420Z", "content": "

Thank you @addisonhoward for compiling this (I was planning to do the same but you were faster :))) )

\n

Just for your info: link of 17th sol is duplicated with 13th.. and you are missing 16th place sol. https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209798

", "rawMarkdown": "Thank you @addisonhoward for compiling this (I was planning to do the same but you were faster :))) )\n\nJust for your info: link of 17th sol is duplicated with 13th.. and you are missing 16th place sol. https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209798", "votes": 1 }, { "id": 1145858, "postDate": "2021-01-09T11:34:31.040Z", "content": "

@addisonhoward , I would like to share my TPU notebook for this competition

\n

TPU - Track knowledge states of 1M+ students

", "rawMarkdown": "@addisonhoward , I would like to share my TPU notebook for this competition\n\n[TPU - Track knowledge states of 1M+ students](https://www.kaggle.com/yihdarshieh/tpu-track-knowledge-states-of-1m-students)", "votes": 2 }, { "id": 1165231, "postDate": "2021-01-22T19:43:21.607Z", "content": "

Thank you, Kaggle team and Riiid lab, for this wonderful competition!

", "rawMarkdown": "Thank you, Kaggle team and Riiid lab, for this wonderful competition!" }, { "id": 1147737, "postDate": "2021-01-10T17:01:14.257Z", "content": "

Hi,
\n I did a late submission. Just want to see my scores. The submission process is running for hours. Request you to kindly fix / allow the late submission without changing the leaderboard.

\n

Thanks.

", "rawMarkdown": "Hi,\n I did a late submission. Just want to see my scores. The submission process is running for hours. Request you to kindly fix / allow the late submission without changing the leaderboard.\n\nThanks." }, { "id": 1146295, "postDate": "2021-01-09T16:57:30.287Z", "content": "

Thanks all! A few copy/paste errors on my fault form the Halite close. Updated now.

", "rawMarkdown": "Thanks all! A few copy/paste errors on my fault form the Halite close. Updated now." }, { "id": 1145415, "postDate": "2021-01-09T06:04:04.597Z", "content": "

Thank you, Kaggle team and Riiid lab, for this wonderful competition!
\nBy the way, is it a mistake that Getting Started with Halite is in the Top notebooks?

", "rawMarkdown": "Thank you, Kaggle team and Riiid lab, for this wonderful competition!\nBy the way, is it a mistake that Getting Started with Halite is in the Top notebooks?" }, { "id": 1248390, "postDate": "2021-03-22T15:16:42.123Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1168041, "postDate": "2021-01-24T16:50:45.827Z", "content": "

Thanks for this recap. it helps

", "rawMarkdown": "Thanks for this recap. it helps" } ], "comments": [ { "id": 1146136, "author_name": "Ioannis M", "author_url": "", "post_date": "2021-01-09T15:00:22.420000", "content": "

Thank you @addisonhoward for compiling this (I was planning to do the same but you were faster :))) )

\n

Just for your info: link of 17th sol is duplicated with 13th.. and you are missing 16th place sol. https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209798

", "votes": 1, "replies": [] }, { "id": 1145858, "author_name": "Yih-Dar SHIEH", "author_url": "", "post_date": "2021-01-09T11:34:31.040000", "content": "

@addisonhoward , I would like to share my TPU notebook for this competition

\n

TPU - Track knowledge states of 1M+ students

", "votes": 2, "replies": [] }, { "id": 1165231, "author_name": "Elham Fazel", "author_url": "", "post_date": "2021-01-22T19:43:21.607000", "content": "

Thank you, Kaggle team and Riiid lab, for this wonderful competition!

", "votes": 0, "replies": [] }, { "id": 1147737, "author_name": "Rishi Chandra", "author_url": "", "post_date": "2021-01-10T17:01:14.257000", "content": "

Hi,
\n I did a late submission. Just want to see my scores. The submission process is running for hours. Request you to kindly fix / allow the late submission without changing the leaderboard.

\n

Thanks.

", "votes": 0, "replies": [] }, { "id": 1146295, "author_name": "Addison Howard", "author_url": "", "post_date": "2021-01-09T16:57:30.287000", "content": "

Thanks all! A few copy/paste errors on my fault form the Halite close. Updated now.

", "votes": 0, "replies": [] }, { "id": 1145415, "author_name": "Tung M Phung", "author_url": "", "post_date": "2021-01-09T06:04:04.597000", "content": "

Thank you, Kaggle team and Riiid lab, for this wonderful competition!
\nBy the way, is it a mistake that Getting Started with Halite is in the Top notebooks?

", "votes": 0, "replies": [] }, { "id": 1248390, "author_name": "", "author_url": "", "post_date": "2021-03-22T15:16:42.123000", "content": "", "votes": 0, "replies": [] }, { "id": 1168041, "author_name": "MG4DataScience", "author_url": "", "post_date": "2021-01-24T16:50:45.827000", "content": "

Thanks for this recap. it helps

", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1145208": "Hey Kagglers,\n\nThe Riiid! Answer Correctness Prediction competition has closed! We hope you were able to learn a lot, and use your machine learning skills on this exciting education competition!\n\nThis year’s competition ended with 4,387 participants on 3,395 teams! We had 64,378 submissions from 89 countries! For 852 users (including 2 in the top 10!), this was their first competition. We also had 2 new Grandmasters, and 12 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! \n\nWe were excited to work with the team at the Riiid, particularly [Jin](https://www.kaggle.com/jineonjinbaek), [Tim](https://www.kaggle.com/hoonpyotimjeon), and [Karis](https://www.kaggle.com/karischang)) for this competition. They’ve been true model hosts, and 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. \n\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.\n\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](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nThe top potential winning teams 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.\n\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.\n\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.\n\nHappy Modeling!\nKaggle Team\n\n###Top Solution Writeups\n- [3rd Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209585)\n- [6th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209581)\n- [11th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209694)\n- [12th Place A](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209635)\n- [12th Place B](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209683)\n- [13th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209622)\n- [16th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209798)\n- [17th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209713)\n- [18th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209597)\n- [20th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209587)\n- [21st Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/210025)\n- [24th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209625)\n- [28th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/210041)\n- [37th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209624)\n- [38th Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209689)\n- [42nd Place](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209596)\n\n###Top Notebooks\n- [Tutorial on reading large datasets](https://www.kaggle.com/rohanrao/tutorial-on-reading-large-datasets)\n- [Riiid: Comprehensive EDA + Baseline](https://www.kaggle.com/erikbruin/riiid-comprehensive-eda-baseline)\n- [Riiid! Answer Correctness Prediction EDA. Modeling](https://www.kaggle.com/isaienkov/riiid-answer-correctness-prediction-eda-modeling)\n- [Competition API Detailed Introduction](https://www.kaggle.com/sohier/competition-api-detailed-introduction)\n- [LGBM with Loop Feature Engineering](https://www.kaggle.com/its7171/lgbm-with-loop-feature-engineering)\n- [CV Strategy](https://www.kaggle.com/its7171/cv-strategy)\n- [Riiid model LGBM](https://www.kaggle.com/ragnar123/riiid-model-lgbm)\n- [Riiid with blazing fast RID](https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid)\n- [Riiid! Training and Prediction using a state](https://www.kaggle.com/markwijkhuizen/riiid-training-and-prediction-using-a-state)\n- [Answer Correctness - RAPIDS, XGB, LGBM](https://www.kaggle.com/andradaolteanu/answer-correctness-rapids-xgb-lgbm)\n- [TPU Track Knowledge states of 1M students] (https://www.kaggle.com/yihdarshieh/tpu-track-knowledge-states-of-1m-students)\n\n###Other Top Discussions\n- [A few notes...](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/196942)\n- [Beware of target leakage](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/189437)\n- [Papers on Knowledge Tracing and Education](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/188911)\n- [An interesting Pattern detected for Repeated Questions](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/194266)\n- [SAINT benchmark](https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/195632)\n", "1146136": "Thank you @addisonhoward for compiling this (I was planning to do the same but you were faster :))) )\n\nJust for your info: link of 17th sol is duplicated with 13th.. and you are missing 16th place sol. https://www.kaggle.com/c/riiid-test-answer-prediction/discussion/209798", "1145858": "@addisonhoward , I would like to share my TPU notebook for this competition\n\n[TPU - Track knowledge states of 1M+ students](https://www.kaggle.com/yihdarshieh/tpu-track-knowledge-states-of-1m-students)", "1165231": "Thank you, Kaggle team and Riiid lab, for this wonderful competition!", "1147737": "Hi,\n I did a late submission. Just want to see my scores. The submission process is running for hours. Request you to kindly fix / allow the late submission without changing the leaderboard.\n\nThanks.", "1146295": "Thanks all! A few copy/paste errors on my fault form the Halite close. Updated now.", "1145415": "Thank you, Kaggle team and Riiid lab, for this wonderful competition!\nBy the way, is it a mistake that Getting Started with Halite is in the Top notebooks?", "1248390": "", "1168041": "Thanks for this recap. it helps" } }