Hi Kagglers,
\nThe BrisT1D Blood Glucose Competition is now closed. Thank you so much for contributing to the competition, we hope you found it an interesting problem. There were 707 participants across 634 teams, who submitted a combined 7482 submissions. It was great to see all your discussions about the competition and the code you shared.
\nWe are now in the process of contacting winners to arrange delivery of the final model’s software code and associated documentation as per the Competition Rules, in order to distribute prizes. Those who supplied their emails with the submission have been contacted. If you have not been contacted and appear on the list of Winners below, it is because no contact email was left with the submission. If you are in this position, please email t1dpa-project@bristol.ac.uk with your winning submission attached as proof of identity and further details will be given. As the private leaderboard currently stands the Prize Winners are:
\n1st Place: @sebastiancuya
\n2nd Place: @hardyxu52
\n3rd Place: @batuhanx, @onurkoc83, and @abdullahtas (the email attached to the winning submission has been contacted)
\n4th Place: @greysky (please email t1dpa-project@bristol.ac.uk)
\n5th Place: @yunsuxiaozi
\nPrizes are awarded based on compliance with the Competition Rules. The full private leaderboard will be released in a week to allow time to contact the Winners and confirm the results.
\nMany thanks to you all and congratulations to the winners!
\nBrisT1D Team
", "messages": [ { "id": 3058829, "postDate": "2024-11-30T03:38:32.077Z", "content": "Hi Kagglers,
\nThe BrisT1D Blood Glucose Competition is now closed. Thank you so much for contributing to the competition, we hope you found it an interesting problem. There were 707 participants across 634 teams, who submitted a combined 7482 submissions. It was great to see all your discussions about the competition and the code you shared.
\nWe are now in the process of contacting winners to arrange delivery of the final model’s software code and associated documentation as per the Competition Rules, in order to distribute prizes. Those who supplied their emails with the submission have been contacted. If you have not been contacted and appear on the list of Winners below, it is because no contact email was left with the submission. If you are in this position, please email t1dpa-project@bristol.ac.uk with your winning submission attached as proof of identity and further details will be given. As the private leaderboard currently stands the Prize Winners are:
\n1st Place: @sebastiancuya
\n2nd Place: @hardyxu52
\n3rd Place: @batuhanx, @onurkoc83, and @abdullahtas (the email attached to the winning submission has been contacted)
\n4th Place: @greysky (please email t1dpa-project@bristol.ac.uk)
\n5th Place: @yunsuxiaozi
\nPrizes are awarded based on compliance with the Competition Rules. The full private leaderboard will be released in a week to allow time to contact the Winners and confirm the results.
\nMany thanks to you all and congratulations to the winners!
\nBrisT1D Team
", "rawMarkdown": "Hi Kagglers, \n\nThe BrisT1D Blood Glucose Competition is now closed. Thank you so much for contributing to the competition, we hope you found it an interesting problem. There were 707 participants across 634 teams, who submitted a combined 7482 submissions. It was great to see all your discussions about the competition and the code you shared. \n\nWe are now in the process of contacting winners to arrange delivery of the final model’s software code and associated documentation as per the Competition Rules, in order to distribute prizes. Those who supplied their emails with the submission have been contacted. If you have not been contacted and appear on the list of Winners below, it is because no contact email was left with the submission. If you are in this position, please email t1dpa-project@bristol.ac.uk with your winning submission attached as proof of identity and further details will be given. As the private leaderboard currently stands the Prize Winners are: \n\n1st Place: @sebastiancuya \n\n2nd Place: @hardyxu52 \n\n3rd Place: @batuhanx, @onurkoc83, and @abdullahtas (the email attached to the winning submission has been contacted)\n\n4th Place: @greysky (please email t1dpa-project@bristol.ac.uk) \n\n5th Place: @yunsuxiaozi \n\nPrizes are awarded based on compliance with the Competition Rules. The full private leaderboard will be released in a week to allow time to contact the Winners and confirm the results.\n\nMany thanks to you all and congratulations to the winners!\n\nBrisT1D Team", "votes": 7 }, { "id": 3059291, "postDate": "2024-11-30T14:49:55.910Z", "content": "Hi everyone! 🎉
\nWe're excited to share our 3rd place solution on LinkedIn with more technical details about our approach.
\nCheck it out here: >https://www.linkedin.com/posts/onur-ko%C3%A7-a8732611b_datascience-machinelearning-healthcaretechnology-activity-7268636357164507139-IDaN?utm_source=share&utm_medium=member_desktop
\nIf you have any questions, feel free to message me on LinkedIn for detailed explanations. Don't forget to like the post! 😊
\nThanks to the BrisT1D team for organizing this great competition!
\nBest regards,
\n@batuhanx, @onurkoc83, and @abdullahtas
Hi @onurkoc83,
\nI've contacted you via email (using the one you attached to the submission) to organise the prize as part of your 3rd place submission. Please let me know if you have received this email and are interested in claiming your prize.
", "rawMarkdown": "Hi @onurkoc83,\n\nI've contacted you via email (using the one you attached to the submission) to organise the prize as part of your 3rd place submission. Please let me know if you have received this email and are interested in claiming your prize.", "votes": 1 } ] }, { "id": 3059073, "postDate": "2024-11-30T09:52:07.220Z", "content": "Thank you for providing and hosting this competition. I have learned a lot :). I'd love to know how our different solutions perform with the final dataset. As I understand correctly this will be possible later in the private leaderboard, right?
\nIf there's any interest, we can also share our code and model.
", "rawMarkdown": "Thank you for providing and hosting this competition. I have learned a lot :). I'd love to know how our different solutions perform with the final dataset. As I understand correctly this will be possible later in the private leaderboard, right?\n\nIf there's any interest, we can also share our code and model. ", "votes": 6, "replies": [ { "id": 3061083, "postDate": "2024-12-02T11:37:05.343Z", "content": "Thank you @ralfjunghanns.
\nIt should now be possible to see the private leaderboard.
\nIt would be great to see your code and model if you are happy to post it on Kaggle. I understand this is a common practice on Kaggle to allow other participants to see the approach you took.
", "rawMarkdown": "Thank you @ralfjunghanns.\n\nIt should now be possible to see the private leaderboard.\n\nIt would be great to see your code and model if you are happy to post it on Kaggle. I understand this is a common practice on Kaggle to allow other participants to see the approach you took." } ] }, { "id": 3058879, "postDate": "2024-11-30T05:27:23.193Z", "content": "I have currently chosen the submission with the highest ranking on my public leaderboard. Among them, there is my own code, which also ensembles some solutions from the open source code area. Can this situation win an award and how should I submit the relevant code? I would like to see my submitted scores in the private leaderboard. When can I expect to see them?
", "rawMarkdown": "I have currently chosen the submission with the highest ranking on my public leaderboard. Among them, there is my own code, which also ensembles some solutions from the open source code area. Can this situation win an award and how should I submit the relevant code? I would like to see my submitted scores in the private leaderboard. When can I expect to see them?", "votes": 6, "replies": [ { "id": 3061101, "postDate": "2024-12-02T11:44:14.500Z", "content": "Hi @yunsuxiaozi,
\nYes, you can win a prize, but please add clear references and credits to any open-source code you used. I sent an email to the address attached to your winning submission, please respond to that email with the requested component.
\nThe private leaderboard is now available.
", "rawMarkdown": "Hi @yunsuxiaozi,\n\nYes, you can win a prize, but please add clear references and credits to any open-source code you used. I sent an email to the address attached to your winning submission, please respond to that email with the requested component.\n\nThe private leaderboard is now available. " } ] }, { "id": 3059191, "postDate": "2024-11-30T12:49:47.563Z", "content": "Thank you for hosting this competition, participating has significantly broadened my understanding of the challenges posed by working with real life datasets.
", "rawMarkdown": "Thank you for hosting this competition, participating has significantly broadened my understanding of the challenges posed by working with real life datasets.", "votes": 3 }, { "id": 3058854, "postDate": "2024-11-30T04:49:20.557Z", "content": "Thanks for organising this competition and congratulations to all the winners!
", "rawMarkdown": "Thanks for organising this competition and congratulations to all the winners!", "votes": 3 }, { "id": 3058860, "postDate": "2024-11-30T04:56:48.230Z", "content": "Thank you for hosting this competition and congrats to all the winners! Is there a reason you're waiting to confirm the winners before releasing the private leaderboard? Looking through the Model Documentation guidelines, I think sections A6 and A7 would be a little tricky to do without being able to look at past submissions/test additional submissions against the private leaderboard, and using public leaderboard scores for reference might result in insights that don't generalize well to the private leaderboard or other additional data.
", "rawMarkdown": "Thank you for hosting this competition and congrats to all the winners! Is there a reason you're waiting to confirm the winners before releasing the private leaderboard? Looking through the [Model Documentation guidelines](https://www.kaggle.com/WinningModelDocumentationGuidelines), I think sections A6 and A7 would be a little tricky to do without being able to look at past submissions/test additional submissions against the private leaderboard, and using public leaderboard scores for reference might result in insights that don't generalize well to the private leaderboard or other additional data.", "votes": 4, "replies": [ { "id": 3059552, "postDate": "2024-11-30T20:00:50.903Z", "content": "@hardyxu52, I share your sentiments. Part of A1 in the guidelines you have shared would also be impossible, especially which regards a comparison between the public LB scores vs the private leaderboard placement. Nonetheless, thanks to the organizer for hosting this competition. I learned a great deal of things even though I joined quite late. Congratulations to all the winners as well.
", "rawMarkdown": "@hardyxu52, I share your sentiments. Part of A1 in the guidelines you have shared would also be impossible, especially which regards a comparison between the public LB scores vs the private leaderboard placement. Nonetheless, thanks to the organizer for hosting this competition. I learned a great deal of things even though I joined quite late. Congratulations to all the winners as well. ", "votes": 1 }, { "id": 3061078, "postDate": "2024-12-02T11:32:58.327Z", "content": "Thank you for raising this point. This is the first Kaggle competition we have run so we decided to delay releasing the private leaderboard to give ourselves some leeway once the competition had closed. We have now released the private leaderboard and hope the extra information is useful.
\nWith regards to the model documentation, the provided guidelines are to give a rough idea of what to include and if there are any sections you feel are less relevant in this case feel free to skip them.
\nPlease ask away if you have any further questions.
", "rawMarkdown": "Thank you for raising this point. This is the first Kaggle competition we have run so we decided to delay releasing the private leaderboard to give ourselves some leeway once the competition had closed. We have now released the private leaderboard and hope the extra information is useful.\n\nWith regards to the model documentation, the provided guidelines are to give a rough idea of what to include and if there are any sections you feel are less relevant in this case feel free to skip them.\n\nPlease ask away if you have any further questions.", "votes": 1 } ] }, { "id": 3059262, "postDate": "2024-11-30T14:17:30.480Z", "content": "Great respect to all the winners and competitors! 🥳
", "rawMarkdown": "Great respect to all the winners and competitors! 🥳", "votes": 2 }, { "id": 3061126, "postDate": "2024-12-02T12:06:12.707Z", "content": "why there is no medal for this competition?
", "rawMarkdown": "why there is no medal for this competition?", "replies": [ { "id": 3061222, "postDate": "2024-12-02T13:20:47.937Z", "content": "Because this is a community competition.
", "rawMarkdown": "Because this is a community competition.", "votes": 1 } ] }, { "id": 3066237, "postDate": "2024-12-07T21:15:07.867Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 3059291, "author_name": "United States", "author_url": "", "post_date": "2024-11-30T14:49:55.910000", "content": "Hi everyone! 🎉
\nWe're excited to share our 3rd place solution on LinkedIn with more technical details about our approach.
\nCheck it out here: >https://www.linkedin.com/posts/onur-ko%C3%A7-a8732611b_datascience-machinelearning-healthcaretechnology-activity-7268636357164507139-IDaN?utm_source=share&utm_medium=member_desktop
\nIf you have any questions, feel free to message me on LinkedIn for detailed explanations. Don't forget to like the post! 😊
\nThanks to the BrisT1D team for organizing this great competition!
\nBest regards,
\n@batuhanx, @onurkoc83, and @abdullahtas
Hi @onurkoc83,
\nI've contacted you via email (using the one you attached to the submission) to organise the prize as part of your 3rd place submission. Please let me know if you have received this email and are interested in claiming your prize.
", "votes": 1, "replies": [] } ] }, { "id": 3059073, "author_name": "Ralf Junghanns", "author_url": "", "post_date": "2024-11-30T09:52:07.220000", "content": "Thank you for providing and hosting this competition. I have learned a lot :). I'd love to know how our different solutions perform with the final dataset. As I understand correctly this will be possible later in the private leaderboard, right?
\nIf there's any interest, we can also share our code and model.
", "votes": 6, "replies": [ { "id": 3061083, "author_name": "Sam Gordon James", "author_url": "", "post_date": "2024-12-02T11:37:05.343000", "content": "Thank you @ralfjunghanns.
\nIt should now be possible to see the private leaderboard.
\nIt would be great to see your code and model if you are happy to post it on Kaggle. I understand this is a common practice on Kaggle to allow other participants to see the approach you took.
", "votes": 0, "replies": [] } ] }, { "id": 3058879, "author_name": "yunsuxiaozi", "author_url": "", "post_date": "2024-11-30T05:27:23.193000", "content": "I have currently chosen the submission with the highest ranking on my public leaderboard. Among them, there is my own code, which also ensembles some solutions from the open source code area. Can this situation win an award and how should I submit the relevant code? I would like to see my submitted scores in the private leaderboard. When can I expect to see them?
", "votes": 6, "replies": [ { "id": 3061101, "author_name": "Sam Gordon James", "author_url": "", "post_date": "2024-12-02T11:44:14.500000", "content": "Hi @yunsuxiaozi,
\nYes, you can win a prize, but please add clear references and credits to any open-source code you used. I sent an email to the address attached to your winning submission, please respond to that email with the requested component.
\nThe private leaderboard is now available.
", "votes": 0, "replies": [] } ] }, { "id": 3059191, "author_name": "Manuel Materazzo", "author_url": "", "post_date": "2024-11-30T12:49:47.563000", "content": "Thank you for hosting this competition, participating has significantly broadened my understanding of the challenges posed by working with real life datasets.
", "votes": 3, "replies": [] }, { "id": 3058854, "author_name": "Thomas Meißner", "author_url": "", "post_date": "2024-11-30T04:49:20.557000", "content": "Thanks for organising this competition and congratulations to all the winners!
", "votes": 3, "replies": [] }, { "id": 3058860, "author_name": "Hardy Xu", "author_url": "", "post_date": "2024-11-30T04:56:48.230000", "content": "Thank you for hosting this competition and congrats to all the winners! Is there a reason you're waiting to confirm the winners before releasing the private leaderboard? Looking through the Model Documentation guidelines, I think sections A6 and A7 would be a little tricky to do without being able to look at past submissions/test additional submissions against the private leaderboard, and using public leaderboard scores for reference might result in insights that don't generalize well to the private leaderboard or other additional data.
", "votes": 4, "replies": [ { "id": 3059552, "author_name": "Paul Kamau", "author_url": "", "post_date": "2024-11-30T20:00:50.903000", "content": "@hardyxu52, I share your sentiments. Part of A1 in the guidelines you have shared would also be impossible, especially which regards a comparison between the public LB scores vs the private leaderboard placement. Nonetheless, thanks to the organizer for hosting this competition. I learned a great deal of things even though I joined quite late. Congratulations to all the winners as well.
", "votes": 1, "replies": [] }, { "id": 3061078, "author_name": "Sam Gordon James", "author_url": "", "post_date": "2024-12-02T11:32:58.327000", "content": "Thank you for raising this point. This is the first Kaggle competition we have run so we decided to delay releasing the private leaderboard to give ourselves some leeway once the competition had closed. We have now released the private leaderboard and hope the extra information is useful.
\nWith regards to the model documentation, the provided guidelines are to give a rough idea of what to include and if there are any sections you feel are less relevant in this case feel free to skip them.
\nPlease ask away if you have any further questions.
", "votes": 1, "replies": [] } ] }, { "id": 3059262, "author_name": "Wayne_127", "author_url": "", "post_date": "2024-11-30T14:17:30.480000", "content": "Great respect to all the winners and competitors! 🥳
", "votes": 2, "replies": [] }, { "id": 3061126, "author_name": "Cyrus", "author_url": "", "post_date": "2024-12-02T12:06:12.707000", "content": "why there is no medal for this competition?
", "votes": 0, "replies": [ { "id": 3061222, "author_name": "yunsuxiaozi", "author_url": "", "post_date": "2024-12-02T13:20:47.937000", "content": "Because this is a community competition.
", "votes": 1, "replies": [] } ] }, { "id": 3066237, "author_name": "", "author_url": "", "post_date": "2024-12-07T21:15:07.867000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "3058829": "Hi Kagglers, \n\nThe BrisT1D Blood Glucose Competition is now closed. Thank you so much for contributing to the competition, we hope you found it an interesting problem. There were 707 participants across 634 teams, who submitted a combined 7482 submissions. It was great to see all your discussions about the competition and the code you shared. \n\nWe are now in the process of contacting winners to arrange delivery of the final model’s software code and associated documentation as per the Competition Rules, in order to distribute prizes. Those who supplied their emails with the submission have been contacted. If you have not been contacted and appear on the list of Winners below, it is because no contact email was left with the submission. If you are in this position, please email t1dpa-project@bristol.ac.uk with your winning submission attached as proof of identity and further details will be given. As the private leaderboard currently stands the Prize Winners are: \n\n1st Place: @sebastiancuya \n\n2nd Place: @hardyxu52 \n\n3rd Place: @batuhanx, @onurkoc83, and @abdullahtas (the email attached to the winning submission has been contacted)\n\n4th Place: @greysky (please email t1dpa-project@bristol.ac.uk) \n\n5th Place: @yunsuxiaozi \n\nPrizes are awarded based on compliance with the Competition Rules. The full private leaderboard will be released in a week to allow time to contact the Winners and confirm the results.\n\nMany thanks to you all and congratulations to the winners!\n\nBrisT1D Team", "3059291": "Hi everyone! 🎉\n\nWe're excited to share our 3rd place solution on LinkedIn with more technical details about our approach.\n\nCheck it out here: >https://www.linkedin.com/posts/onur-ko%C3%A7-a8732611b_datascience-machinelearning-healthcaretechnology-activity-7268636357164507139-IDaN?utm_source=share&utm_medium=member_desktop\n\nIf you have any questions, feel free to message me on LinkedIn for detailed explanations. Don't forget to like the post! 😊\n\nThanks to the BrisT1D team for organizing this great competition!\n\nBest regards,\n@batuhanx, @onurkoc83, and @abdullahtas", "3059073": "Thank you for providing and hosting this competition. I have learned a lot :). I'd love to know how our different solutions perform with the final dataset. As I understand correctly this will be possible later in the private leaderboard, right?\n\nIf there's any interest, we can also share our code and model. ", "3058879": "I have currently chosen the submission with the highest ranking on my public leaderboard. Among them, there is my own code, which also ensembles some solutions from the open source code area. Can this situation win an award and how should I submit the relevant code? I would like to see my submitted scores in the private leaderboard. When can I expect to see them?", "3059191": "Thank you for hosting this competition, participating has significantly broadened my understanding of the challenges posed by working with real life datasets.", "3058854": "Thanks for organising this competition and congratulations to all the winners!", "3058860": "Thank you for hosting this competition and congrats to all the winners! Is there a reason you're waiting to confirm the winners before releasing the private leaderboard? Looking through the [Model Documentation guidelines](https://www.kaggle.com/WinningModelDocumentationGuidelines), I think sections A6 and A7 would be a little tricky to do without being able to look at past submissions/test additional submissions against the private leaderboard, and using public leaderboard scores for reference might result in insights that don't generalize well to the private leaderboard or other additional data.", "3059262": "Great respect to all the winners and competitors! 🥳", "3061126": "why there is no medal for this competition?", "3066237": "" } }