Hey everyone! Thank you to everyone who participated in this year's March Madness Analytics Competition! We had over 33,000 unique visitors, 1,750+ registrants, 310 total notebooks, and 42 formal submissions to this competition!
\n\nWith the tournament itself canceled due to COVID-19 and all sports on hiatus, we're glad to still provide an opportunity for data science and sports to meet! Especially happy to present a competition that examines competitiveness when there's no competition happening!
\n\nI'd also like to thank John Miller for his masterclass of a Notebook on how Creating a Good Analytics Report. This insight is really useful to all those looking for some next steps in telling a good story using machine learning.
\n\nThe winners have been contacted and their results are below (in no particular order):
\n\nEvanca's notebook examined which teams had the best chance of becoming a Cinderella if the season hadn't been canceled using XGBoost.
\n\nLuca's submission created a unique metric to label how competitiveness a game is.
\n\nHenry examined in-game resilience. If your favorite team is down at halftime, are they really a \"second half team\"? Will they be able to come back and keep the excitement of the game high?
\n\n\n\nThis team [developed metrics]((https://www.kaggle.com/emimis/madness-at-home-and-on-the-court-part-1) on leaderboard switches, suspense (last moment the winning team took the lead), and point spread to determine entertainment value. And they examined tweets occurring during the tournament to examine excitement.
\n\nAlex explored four profiles of undervalued teams that tend to have success in past tournaments that might carry predictive value leveraging decision trees.
\n\nBen predicted the current year's bracket had the tournament not been canceled. No points were deducted for excluding my Southern Conference tournament-losing Furman Paladins :)
\n\nYou're all welcome and encouraged to detail your submissions in the forums to contribute to the broader data science ecosystem.
\n\nKeep up the great work, and happy modeling in future competitions!
\n\nAddison
", "messages": [ { "id": "852997", "postDate": "05/18/2020 21:47:05", "content": "Hey everyone! Thank you to everyone who participated in this year's March Madness Analytics Competition! We had over 33,000 unique visitors, 1,750+ registrants, 310 total notebooks, and 42 formal submissions to this competition!
\n\nWith the tournament itself canceled due to COVID-19 and all sports on hiatus, we're glad to still provide an opportunity for data science and sports to meet! Especially happy to present a competition that examines competitiveness when there's no competition happening!
\n\nI'd also like to thank John Miller for his masterclass of a Notebook on how Creating a Good Analytics Report. This insight is really useful to all those looking for some next steps in telling a good story using machine learning.
\n\nThe winners have been contacted and their results are below (in no particular order):
\n\nEvanca's notebook examined which teams had the best chance of becoming a Cinderella if the season hadn't been canceled using XGBoost.
\n\nLuca's submission created a unique metric to label how competitiveness a game is.
\n\nHenry examined in-game resilience. If your favorite team is down at halftime, are they really a \"second half team\"? Will they be able to come back and keep the excitement of the game high?
\n\n\n\nThis team [developed metrics]((https://www.kaggle.com/emimis/madness-at-home-and-on-the-court-part-1) on leaderboard switches, suspense (last moment the winning team took the lead), and point spread to determine entertainment value. And they examined tweets occurring during the tournament to examine excitement.
\n\nAlex explored four profiles of undervalued teams that tend to have success in past tournaments that might carry predictive value leveraging decision trees.
\n\nBen predicted the current year's bracket had the tournament not been canceled. No points were deducted for excluding my Southern Conference tournament-losing Furman Paladins :)
\n\nYou're all welcome and encouraged to detail your submissions in the forums to contribute to the broader data science ecosystem.
\n\nKeep up the great work, and happy modeling in future competitions!
\n\nAddison
", "rawMarkdown": "# Congratulations!\n\nHey everyone! Thank you to everyone who participated in this year's March Madness Analytics Competition! We had over 33,000 unique visitors, 1,750+ registrants, 310 total notebooks, and 42 formal submissions to this competition! \n\nWith the tournament itself canceled due to COVID-19 and all sports on hiatus, we're glad to still provide an opportunity for data science and sports to meet! Especially happy to present a competition that examines competitiveness when there's no competition happening!\n\nI'd also like to thank [John Miller](https://www.kaggle.com/jpmiller) for his masterclass of a Notebook on how [Creating a Good Analytics Report](https://www.kaggle.com/jpmiller/creating-a-good-analytics-report). This insight is really useful to all those looking for some next steps in telling a good story using machine learning.\n\nThe winners have been contacted and their results are below (in no particular order):\n\n### Winners\n\n- *[evanca](https://www.kaggle.com/evanca)*I am honored of being selected among these great and creative works. It has been a pleasure being part of this competition, I was definitely not expecting to end up among the winners so I am kind of speechless now.
\n\nHowever, I tried to summarize the process that led to the final result here https://www.kaggle.com/c/march-madness-analytics-2020/discussion/152213
\n\nCongratulations to all the other winners, thanks to the other participants for sharing code that gave me some ideas for the future, and thanks to the organizers for letting us play in such a fun competition
\n\nCheers
", "rawMarkdown": "I am honored of being selected among these great and creative works. It has been a pleasure being part of this competition, I was definitely not expecting to end up among the winners so I am kind of speechless now.\n\nHowever, I tried to summarize the process that led to the final result here https://www.kaggle.com/c/march-madness-analytics-2020/discussion/152213\n\nCongratulations to all the other winners, thanks to the other participants for sharing code that gave me some ideas for the future, and thanks to the organizers for letting us play in such a fun competition\n\nCheers", "votes": null }, { "id": "853080", "postDate": "05/19/2020 00:29:41", "content": "Congratulations to all the winners.
", "rawMarkdown": "Congratulations to all the winners.", "votes": null }, { "id": "853153", "postDate": "05/19/2020 02:12:38", "content": "Congratulations to all winners!
", "rawMarkdown": "Congratulations to all winners!", "votes": null }, { "id": "853578", "postDate": "05/19/2020 09:55:49", "content": "Thank you so much and congrats to all the winners! πΎπ₯
", "rawMarkdown": "Thank you so much and congrats to all the winners! πΎπ₯", "votes": null }, { "id": "854532", "postDate": "05/20/2020 05:02:41", "content": "Wow, we still can't believe it! We have seen many amazing kernels and we are very honored to be one of the 5 winning teams. Thank you for keeping up this competition of a new kind in these unprecedented times. Feel free to contact us if you would like to know more about our submission. Congratulations to all the winners! π
", "rawMarkdown": "Wow, we still can't believe it! We have seen many amazing kernels and we are very honored to be one of the 5 winning teams. Thank you for keeping up this competition of a new kind in these unprecedented times. Feel free to contact us if you would like to know more about our submission. Congratulations to all the winners! π", "votes": null }, { "id": "856117", "postDate": "05/21/2020 13:44:38", "content": "Congratulation to the winners!!!!\nLooking forward to such interesting competitions like this.
", "rawMarkdown": "Congratulation to the winners!!!!\nLooking forward to such interesting competitions like this.", "votes": null }, { "id": "856597", "postDate": "05/21/2020 21:56:17", "content": "Congratulations to all of you! Keep up the great work!
", "rawMarkdown": "Congratulations to all of you! Keep up the great work!", "votes": null }, { "id": "856598", "postDate": "05/21/2020 21:58:06", "content": "Congratulations! Winning a competition in Kaggle is no small feat, and it's good to see that these guys have achieved it!
", "rawMarkdown": "Congratulations! Winning a competition in Kaggle is no small feat, and it's good to see that these guys have achieved it!", "votes": null } ], "comments": [ { "id": 853041, "author_name": "lucabasa", "author_url": "", "post_date": "05/18/2020 23:20:13", "content": "I am honored of being selected among these great and creative works. It has been a pleasure being part of this competition, I was definitely not expecting to end up among the winners so I am kind of speechless now.
\n\nHowever, I tried to summarize the process that led to the final result here https://www.kaggle.com/c/march-madness-analytics-2020/discussion/152213
\n\nCongratulations to all the other winners, thanks to the other participants for sharing code that gave me some ideas for the future, and thanks to the organizers for letting us play in such a fun competition
\n\nCheers
", "votes": null, "replies": [] }, { "id": 853080, "author_name": "anshumoudgil", "author_url": "", "post_date": "05/19/2020 00:29:41", "content": "Congratulations to all the winners.
", "votes": null, "replies": [] }, { "id": 853153, "author_name": "amanymarey", "author_url": "", "post_date": "05/19/2020 02:12:38", "content": "Congratulations to all winners!
", "votes": null, "replies": [] }, { "id": 853578, "author_name": "evanca", "author_url": "", "post_date": "05/19/2020 09:55:49", "content": "Thank you so much and congrats to all the winners! πΎπ₯
", "votes": null, "replies": [] }, { "id": 854532, "author_name": "mika30", "author_url": "", "post_date": "05/20/2020 05:02:41", "content": "Wow, we still can't believe it! We have seen many amazing kernels and we are very honored to be one of the 5 winning teams. Thank you for keeping up this competition of a new kind in these unprecedented times. Feel free to contact us if you would like to know more about our submission. Congratulations to all the winners! π
", "votes": null, "replies": [] }, { "id": 856117, "author_name": "shubhamdivakar", "author_url": "", "post_date": "05/21/2020 13:44:38", "content": "Congratulation to the winners!!!!\nLooking forward to such interesting competitions like this.
", "votes": null, "replies": [] }, { "id": 856597, "author_name": "", "author_url": "", "post_date": "05/21/2020 21:56:17", "content": "Congratulations to all of you! Keep up the great work!
", "votes": null, "replies": [] }, { "id": 856598, "author_name": "danoozy44", "author_url": "", "post_date": "05/21/2020 21:58:06", "content": "Congratulations! Winning a competition in Kaggle is no small feat, and it's good to see that these guys have achieved it!
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "852997": "# Congratulations!\n\nHey everyone! Thank you to everyone who participated in this year's March Madness Analytics Competition! We had over 33,000 unique visitors, 1,750+ registrants, 310 total notebooks, and 42 formal submissions to this competition! \n\nWith the tournament itself canceled due to COVID-19 and all sports on hiatus, we're glad to still provide an opportunity for data science and sports to meet! Especially happy to present a competition that examines competitiveness when there's no competition happening!\n\nI'd also like to thank [John Miller](https://www.kaggle.com/jpmiller) for his masterclass of a Notebook on how [Creating a Good Analytics Report](https://www.kaggle.com/jpmiller/creating-a-good-analytics-report). This insight is really useful to all those looking for some next steps in telling a good story using machine learning.\n\nThe winners have been contacted and their results are below (in no particular order):\n\n### Winners\n\n- *[evanca](https://www.kaggle.com/evanca)*