Dear Kagglers, the competition is on its final approach. Very soon, you’ll be selecting your final submissions.
\nYou may choose up to 3 solutions to be scored against other teams as your best entries on the leaderboard.
\nIf you want some of your solutions to be eligible for the \"Single Model Award\" track, please follow these steps:
\n_SM_ prefix to the 'Description field' of your Submission.Some very basic advices that help you:
\nThank you - and fasten your seatbelts. Hope the upcoming shakeup turbulence won’t be too strong… 😉 🛬
", "messages": [ { "id": "3269579", "postDate": "08/14/2025 16:59:12", "content": "Dear Kagglers, the competition is on its final approach. Very soon, you’ll be selecting your final submissions.
\nYou may choose up to 3 solutions to be scored against other teams as your best entries on the leaderboard.
\nIf you want some of your solutions to be eligible for the \"Single Model Award\" track, please follow these steps:
\n_SM_ prefix to the 'Description field' of your Submission.Some very basic advices that help you:
\nThank you - and fasten your seatbelts. Hope the upcoming shakeup turbulence won’t be too strong… 😉 🛬
", "rawMarkdown": "Dear Kagglers, the competition is on its final approach. Very soon, you’ll be selecting your final submissions. \n\nYou may choose **up to 3 solutions** to be scored against other teams as your best entries on the leaderboard.\n\nIf you want some of your solutions to be eligible for the \"Single Model Award\" track, please follow these steps:\n\n1. Ensure your \"Single Model Award\" submission complies with all [the rules specified here](https://www.kaggle.com/competitions/aeroclub-recsys-2025/discussion/596527).\n2. Add the `_SM_` prefix to the *'Description field'* of your Submission.\n3. Share your notebook with @aeroclubit and @samvelkoch accounts ('Can View' permission).\n\nSome very basic advices that help you:\n- trust your CV\n- do not select submissions that created from blind public scores/notebooks blendings that you just can't reproduce completely (check [Winners Obligations](https://www.kaggle.com/competitions/aeroclub-recsys-2025/rules#6.-winners-obligations) in the completion rules)\n- if you missed to select submission by yourself then Kaggle system automaticaly assign your top best public scores as your final\n\nThank you - and fasten your seatbelts. Hope the upcoming shakeup turbulence won’t be too strong… 😉 🛬", "votes": null }, { "id": "3269679", "postDate": "08/14/2025 20:24:01", "content": "\n\nHope the upcoming shakeup turbulence won’t be too strong… 😉 🛬
\n
PS: Guys, just don't search any hidden signals in these words please.
", "rawMarkdown": ">Hope the upcoming shakeup turbulence won’t be too strong… 😉 🛬 \n\nPS: Guys, just don't search any hidden signals in these words please.", "votes": null }, { "id": "3269711", "postDate": "08/14/2025 22:52:00", "content": "Hi, I have a question about the \"Single Model Award\" submission.
\nIf my code causes OOM when running on Kaggle, can I still share my notebook with the full code (but without executing it on Kaggle), and instead upload my locally run predictions as a private dataset, then load that dataset in the notebook for submission? Would this approach still be considered compliant with your requirements?
Hi. Yes, it is fine.
", "rawMarkdown": "Hi. Yes, it is fine.", "votes": null }, { "id": "3269967", "postDate": "08/15/2025 12:27:35", "content": "Please, at which time the competition ended (final time for selecting the submissions) ?
", "rawMarkdown": "Please, at which time the competition ended (final time for selecting the submissions) ?", "votes": null }, { "id": "3269969", "postDate": "08/15/2025 12:31:34", "content": "Competition end date: August 17, 2025, 02:00 AM (GMT+2).\nThe private leaderboard will be released within 1–7 days, no later than August 24, 2025, 02:00 AM (GMT+2).
", "rawMarkdown": "Competition end date: August 17, 2025, 02:00 AM (GMT+2).\nThe private leaderboard will be released within 1–7 days, no later than August 24, 2025, 02:00 AM (GMT+2).", "votes": null }, { "id": "3269999", "postDate": "08/15/2025 14:00:05", "content": "Is an XGBoost model with a set of parameters and 5-fold cross-validation considered a single model?
", "rawMarkdown": "Is an XGBoost model with a set of parameters and 5-fold cross-validation considered a single model?", "votes": null }, { "id": "3270003", "postDate": "08/15/2025 14:13:31", "content": "Yes, considered.
", "rawMarkdown": "Yes, considered.", "votes": null }, { "id": "3270078", "postDate": "08/15/2025 16:27:25", "content": "The submission file contains three columns: Id, ranker_id, and selected.
\nCould you clarify the following instruction: \"Add the SM prefix to the 'Description' field of your submission\"?
Open your \"Submissions\" tab. Click on selected submission. There you'll find 'Description' field. Add _SM_ symbols as prefix for that field content. If the field is empty just add these symbols as only content. If you can't find it just send me a private message with details. Thank you.
Could someone from the Kaggle team please provide a statement on this https://www.kaggle.com/competitions/aeroclub-recsys-2025/discussion/588441?
", "rawMarkdown": "Could someone from the Kaggle team please provide a statement on this https://www.kaggle.com/competitions/aeroclub-recsys-2025/discussion/588441?", "votes": null }, { "id": "3270501", "postDate": "08/16/2025 16:47:08", "content": "So 5 folds model mean as submission would be considered as single model?
", "rawMarkdown": "So 5 folds model mean as submission would be considered as single model?", "votes": null }, { "id": "3270505", "postDate": "08/16/2025 16:57:26", "content": "Yes, but only if you submit it in that track.
", "rawMarkdown": "Yes, but only if you submit it in that track.", "votes": null } ], "comments": [ { "id": 3269679, "author_name": "samvelkoch", "author_url": "", "post_date": "08/14/2025 20:24:01", "content": "\n\nHope the upcoming shakeup turbulence won’t be too strong… 😉 🛬
\n
PS: Guys, just don't search any hidden signals in these words please.
", "votes": null, "replies": [] }, { "id": 3269711, "author_name": "mango789", "author_url": "", "post_date": "08/14/2025 22:52:00", "content": "Hi, I have a question about the \"Single Model Award\" submission.
\nIf my code causes OOM when running on Kaggle, can I still share my notebook with the full code (but without executing it on Kaggle), and instead upload my locally run predictions as a private dataset, then load that dataset in the notebook for submission? Would this approach still be considered compliant with your requirements?
Hi. Yes, it is fine.
", "votes": null, "replies": [] } ] }, { "id": 3269967, "author_name": "hatimalouane", "author_url": "", "post_date": "08/15/2025 12:27:35", "content": "Please, at which time the competition ended (final time for selecting the submissions) ?
", "votes": null, "replies": [ { "id": 3269969, "author_name": "samvelkoch", "author_url": "", "post_date": "08/15/2025 12:31:34", "content": "Competition end date: August 17, 2025, 02:00 AM (GMT+2).\nThe private leaderboard will be released within 1–7 days, no later than August 24, 2025, 02:00 AM (GMT+2).
", "votes": null, "replies": [] } ] }, { "id": 3269999, "author_name": "jiaoyouzhang", "author_url": "", "post_date": "08/15/2025 14:00:05", "content": "Is an XGBoost model with a set of parameters and 5-fold cross-validation considered a single model?
", "votes": null, "replies": [ { "id": 3270003, "author_name": "samvelkoch", "author_url": "", "post_date": "08/15/2025 14:13:31", "content": "Yes, considered.
", "votes": null, "replies": [ { "id": 3270501, "author_name": "goldenlock", "author_url": "", "post_date": "08/16/2025 16:47:08", "content": "So 5 folds model mean as submission would be considered as single model?
", "votes": null, "replies": [ { "id": 3270505, "author_name": "samvelkoch", "author_url": "", "post_date": "08/16/2025 16:57:26", "content": "Yes, but only if you submit it in that track.
", "votes": null, "replies": [] } ] } ] } ] }, { "id": 3270078, "author_name": "jamalsaeedi", "author_url": "", "post_date": "08/15/2025 16:27:25", "content": "The submission file contains three columns: Id, ranker_id, and selected.
\nCould you clarify the following instruction: \"Add the SM prefix to the 'Description' field of your submission\"?
Open your \"Submissions\" tab. Click on selected submission. There you'll find 'Description' field. Add _SM_ symbols as prefix for that field content. If the field is empty just add these symbols as only content. If you can't find it just send me a private message with details. Thank you.
Could someone from the Kaggle team please provide a statement on this https://www.kaggle.com/competitions/aeroclub-recsys-2025/discussion/588441?
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "3269579": "Dear Kagglers, the competition is on its final approach. Very soon, you’ll be selecting your final submissions. \n\nYou may choose **up to 3 solutions** to be scored against other teams as your best entries on the leaderboard.\n\nIf you want some of your solutions to be eligible for the \"Single Model Award\" track, please follow these steps:\n\n1. Ensure your \"Single Model Award\" submission complies with all [the rules specified here](https://www.kaggle.com/competitions/aeroclub-recsys-2025/discussion/596527).\n2. Add the `_SM_` prefix to the *'Description field'* of your Submission.\n3. Share your notebook with @aeroclubit and @samvelkoch accounts ('Can View' permission).\n\nSome very basic advices that help you:\n- trust your CV\n- do not select submissions that created from blind public scores/notebooks blendings that you just can't reproduce completely (check [Winners Obligations](https://www.kaggle.com/competitions/aeroclub-recsys-2025/rules#6.-winners-obligations) in the completion rules)\n- if you missed to select submission by yourself then Kaggle system automaticaly assign your top best public scores as your final\n\nThank you - and fasten your seatbelts. Hope the upcoming shakeup turbulence won’t be too strong… 😉 🛬", "3269679": ">Hope the upcoming shakeup turbulence won’t be too strong… 😉 🛬 \n\nPS: Guys, just don't search any hidden signals in these words please.", "3269711": "Hi, I have a question about the \"Single Model Award\" submission.\nIf my code causes OOM when running on Kaggle, can I still share my notebook with the full code (but without executing it on Kaggle), and instead upload my locally run predictions as a private dataset, then load that dataset in the notebook for submission? Would this approach still be considered compliant with your requirements?", "3269802": "Hi. Yes, it is fine.", "3269967": "Please, at which time the competition ended (final time for selecting the submissions) ?", "3269969": "Competition end date: August 17, 2025, 02:00 AM (GMT+2).\nThe private leaderboard will be released within 1–7 days, no later than August 24, 2025, 02:00 AM (GMT+2).", "3269999": "Is an XGBoost model with a set of parameters and 5-fold cross-validation considered a single model?", "3270003": "Yes, considered.", "3270078": "The submission file contains three columns: Id, ranker_id, and selected.\nCould you clarify the following instruction: \"Add the _SM_ prefix to the 'Description' field of your submission\"?", "3270085": "Open your \"Submissions\" tab. Click on selected submission. There you'll find 'Description' field. Add `_SM_` symbols as prefix for that field content. If the field is empty just add these symbols as only content. If you can't find it just send me a private message with details. Thank you.", "3270125": "Could someone from the Kaggle team please provide a statement on this https://www.kaggle.com/competitions/aeroclub-recsys-2025/discussion/588441?", "3270501": "So 5 folds model mean as submission would be considered as single model?", "3270505": "Yes, but only if you submit it in that track." }, "source": "meta" }