Hey Kagglers,
\nWe’re happy to announce the conclusion of the American Express Default Prediction competition! We’ve been working with the AMEX team for a long time now on crafting this competition, and we’re happy to see how successful it was.
\nThis competition ended with 30,018 individuals joining the competition and 6,004 participants making a submission across 4,875 teams! We had 90,080 submissions from over 105 countries! For 1,275 users (including 8 users on Top 10 teams!), this was their first competition. An additional congratulations goes out to our 5 new Kaggle Competition Grandmasters and 12 new Competition Masters! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe winning submission was made within the final 4 days of the competition
\nThank you to Di and Negin, along with the rest of the AMEX team for bringing us this engaging problem to the Kaggle community!
\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 will be contacted via email shortly 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 - please notify us if you have not.
\nAlso - one final (final) reminder that American Express is hiring! We will be leaving the Model Upload tab available for CV/resume upload for two more weeks (September 16).
\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, 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 American Express Default Prediction competition! We’ve been working with the AMEX team for a long time now on crafting this competition, and we’re happy to see how successful it was.
\nThis competition ended with 30,018 individuals joining the competition and 6,004 participants making a submission across 4,875 teams! We had 90,080 submissions from over 105 countries! For 1,275 users (including 8 users on Top 10 teams!), this was their first competition. An additional congratulations goes out to our 5 new Kaggle Competition Grandmasters and 12 new Competition Masters! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe winning submission was made within the final 4 days of the competition
\nThank you to Di and Negin, along with the rest of the AMEX team for bringing us this engaging problem to the Kaggle community!
\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 will be contacted via email shortly 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 - please notify us if you have not.
\nAlso - one final (final) reminder that American Express is hiring! We will be leaving the Model Upload tab available for CV/resume upload for two more weeks (September 16).
\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, 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
Thanks, it was a great competition!
", "rawMarkdown": "Thanks, it was a great competition!", "votes": null }, { "id": "1922462", "postDate": "09/01/2022 13:56:32", "content": "True it was a great competition
", "rawMarkdown": "True it was a great competition", "votes": null }, { "id": "1923403", "postDate": "09/02/2022 07:44:00", "content": "Would you be sharing test data labels soon?
", "rawMarkdown": "Would you be sharing test data labels soon?", "votes": null }, { "id": "1923408", "postDate": "09/02/2022 07:50:03", "content": "Nice recap. Thanks @addisonhoward
", "rawMarkdown": "Nice recap. Thanks @addisonhoward", "votes": null }, { "id": "1923978", "postDate": "09/02/2022 16:36:15", "content": "Hi there,
\nWe do not typically share test labels after a competition has ended - we do allow for Late Submissions, so you can continue to submit and see how your models may improve, and what score you would have received.
", "rawMarkdown": "Hi there,\n\nWe do not typically share test labels after a competition has ended - we do allow for Late Submissions, so you can continue to submit and see how your models may improve, and what score you would have received.", "votes": null }, { "id": "1924055", "postDate": "09/02/2022 17:33:46", "content": "till when can we submit?
", "rawMarkdown": "till when can we submit?", "votes": null }, { "id": "1924125", "postDate": "09/02/2022 18:29:00", "content": "The host may request to remove the dataset at their discretion, but until then Competitions are open for late submissions indefinitely.
", "rawMarkdown": "The host may request to remove the dataset at their discretion, but until then Competitions are open for late submissions indefinitely.", "votes": null }, { "id": "1925678", "postDate": "09/04/2022 07:41:26", "content": "Thank you for the summary
", "rawMarkdown": "Thank you for the summary", "votes": null }, { "id": "1935597", "postDate": "09/12/2022 08:01:41", "content": "Thanks for making a concise summary.
", "rawMarkdown": "Thanks for making a concise summary.", "votes": null }, { "id": "1949687", "postDate": "09/21/2022 20:09:02", "content": "Fantastic works!
", "rawMarkdown": "Fantastic works!", "votes": null } ], "comments": [ { "id": 1919891, "author_name": "fritzcremer", "author_url": "", "post_date": "08/30/2022 18:15:42", "content": "Thanks, it was a great competition!
", "votes": null, "replies": [] }, { "id": 1922462, "author_name": "lyfeisgood", "author_url": "", "post_date": "09/01/2022 13:56:32", "content": "True it was a great competition
", "votes": null, "replies": [] }, { "id": 1923403, "author_name": "ydvaakash", "author_url": "", "post_date": "09/02/2022 07:44:00", "content": "Would you be sharing test data labels soon?
", "votes": null, "replies": [ { "id": 1923978, "author_name": "addisonhoward", "author_url": "", "post_date": "09/02/2022 16:36:15", "content": "Hi there,
\nWe do not typically share test labels after a competition has ended - we do allow for Late Submissions, so you can continue to submit and see how your models may improve, and what score you would have received.
", "votes": null, "replies": [] }, { "id": 1924055, "author_name": "ydvaakash", "author_url": "", "post_date": "09/02/2022 17:33:46", "content": "till when can we submit?
", "votes": null, "replies": [] }, { "id": 1924125, "author_name": "addisonhoward", "author_url": "", "post_date": "09/02/2022 18:29:00", "content": "The host may request to remove the dataset at their discretion, but until then Competitions are open for late submissions indefinitely.
", "votes": null, "replies": [] } ] }, { "id": 1923408, "author_name": "santiagomota", "author_url": "", "post_date": "09/02/2022 07:50:03", "content": "Nice recap. Thanks @addisonhoward
", "votes": null, "replies": [] }, { "id": 1925678, "author_name": "dataringo", "author_url": "", "post_date": "09/04/2022 07:41:26", "content": "Thank you for the summary
", "votes": null, "replies": [] }, { "id": 1935597, "author_name": "jacksonyou", "author_url": "", "post_date": "09/12/2022 08:01:41", "content": "Thanks for making a concise summary.
", "votes": null, "replies": [] }, { "id": 1949687, "author_name": "genghuachen", "author_url": "", "post_date": "09/21/2022 20:09:02", "content": "Fantastic works!
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1919885": "Hey Kagglers,\n\nWe’re happy to announce the conclusion of the American Express Default Prediction competition! We’ve been working with the AMEX team for a long time now on crafting this competition, and we’re happy to see how successful it was.\n\nThis competition ended with 30,018 individuals joining the competition and 6,004 participants making a submission across 4,875 teams! We had 90,080 submissions from over 105 countries! For 1,275 users (including 8 users on Top 10 teams!), this was their first competition. An additional congratulations goes out to our 5 new Kaggle Competition Grandmasters and 12 new Competition Masters! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking! \n\nThe winning submission was made within the final 4 days of the competition\n\nThank you to [Di](https://www.kaggle.com/dixu178087) and [Negin](https://www.kaggle.com/neginhayatbini), along with the rest of the AMEX team for bringing us this engaging problem to the Kaggle community!\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 will be contacted via email shortly 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 - please notify us if you have not.\n\nAlso - one final (final) reminder that **American Express [is hiring](https://www.kaggle.com/competitions/amex-default-prediction/overview/prizes-and-hiring)!** We will be leaving the Model Upload tab available for CV/resume upload for two more weeks (September 16).\n\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, 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 Write-ups\n\n- [1st Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/348111)\n- [2nd Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347637)\n- [5th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/348097)\n- [10th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347668)\n- [11th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786)\n- [12th Place pt 1](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740)\n- [12th Place pt 2](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347740)\n- [13th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/348014)\n- [14th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347641)\n- [15th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347908)\n- [16th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347858)\n- [17th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347850)\n- [19th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347651)\n- [21st Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/348530)\n- [24th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347880)\n- [27th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347722)\n- [45th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347966)\n- [56th Place](https://www.kaggle.com/competitions/amex-default-prediction/discussion/347688)\n\n###Other Top Discussions\n- [Integer columns in the data - here you go!](https://www.kaggle.com/competitions/amex-default-prediction/discussion/328514)\n- [How To Reduce Data Size](https://www.kaggle.com/competitions/amex-default-prediction/discussion/328054)\n- [Tabular Classification - Tips and Tricks](https://www.kaggle.com/competitions/amex-default-prediction/discussion/335892)\n- [Graphical explanation of the competition metric](https://www.kaggle.com/competitions/amex-default-prediction/discussion/327464)\n- [Which is the right feature importance?](https://www.kaggle.com/competitions/amex-default-prediction/discussion/331131)\n- [Speed Up XGB, CatBoost, and LGBM by 20x](https://www.kaggle.com/competitions/amex-default-prediction/discussion/328606)\n- [Parquet Format Dataset for Low Memory Use](https://www.kaggle.com/competitions/amex-default-prediction/discussion/327138)\n- [⚡ 9x Data Compression achieved with Feather🕊️](https://www.kaggle.com/competitions/amex-default-prediction/discussion/327143)\n- [Kaggle Dataset for Transformers and RNNs](https://www.kaggle.com/competitions/amex-default-prediction/discussion/327828)\n\n\n\n###Top Notebooks\n- [XGBoost Starter - [0.793]](https://www.kaggle.com/code/cdeotte/xgboost-starter-0-793)\n- [AMEX EDA which makes sense ⭐️⭐️⭐️⭐️⭐️](https://www.kaggle.com/code/ambrosm/amex-eda-which-makes-sense)\n- [Amex LGBM Dart CV 0.7977](https://www.kaggle.com/code/ragnar123/amex-lgbm-dart-cv-0-7977)\n- [AMEX Default Prediction EDA & LGBM Baseline](https://www.kaggle.com/code/kellibelcher/amex-default-prediction-eda-lgbm-baseline)\n- [AMEX LightGBM Quickstart](https://www.kaggle.com/code/ambrosm/amex-lightgbm-quickstart)\n- [TensorFlow GRU Starter - [0.790]](https://www.kaggle.com/code/cdeotte/tensorflow-gru-starter-0-790)\n- [RAPIDS cudf Feature Engineering + XGB](https://www.kaggle.com/code/jiweiliu/rapids-cudf-feature-engineering-xgb)", "1919891": "Thanks, it was a great competition!", "1922462": "True it was a great competition", "1923403": "Would you be sharing test data labels soon?", "1923408": "Nice recap. Thanks @addisonhoward", "1923978": "Hi there,\n\nWe do not typically share test labels after a competition has ended - we do allow for Late Submissions, so you can continue to submit and see how your models may improve, and what score you would have received.", "1924055": "till when can we submit?", "1924125": "The host may request to remove the dataset at their discretion, but until then Competitions are open for late submissions indefinitely.", "1925678": "Thank you for the summary", "1935597": "Thanks for making a concise summary.", "1949687": "Fantastic works!" }, "source": "meta" }