WAICF – Data Challenge Winners
- Trustii.io
- 20 avr. 2022
- 1 min de lecture
They built machine learning models that predict Car Accident Severity, based on open Datasets from data.gouv.fr and data.gov.uk
📣 We are excited to announce the result of the data challenge we hosted en collaboration with and at WAICF - World AI Cannes Festival
Overall, we had 83 participants from multiple #universities, they submitted 234 predictions during two days yay !! the 3 winning teams are from Simplon.co. The best team created a #MachineLearning model that predicts Car Accident Severity 💥🚘 at an accuracy of about 0.676 (balanced accuracy), which is very good for an unbalanced and complex dataset (combination of open dataset from data.gouv.fr 🇫🇷 and data.gov.uk 🏴)
🏆 Congrats to the winning teams :
🥇Team Simplon HDF : Julien Vansteenkiste Giovanny Malghem Théo TRICOT @Steven Druesne
🥈Team Simplon get_best_team_ : Florian Abgrall Rudy BOUREZ Ayoub HADDOU
🥉Team AIOLI : Yanis Hamour Arthur Telders @Silvert Vivien
The complete challenge result including winners source code and testimonies are available at https://app.trustii.io and at https://github.com/Trustii-team/WAICF-Data-Challenge
We are very glad to continue at Trustii to deliver on our mission to develop #datascience knowledge of students, stay tunned for other data challenge ✌️
Félicitations aux équipes récompensées pour ce challenge ! C’est toujours intéressant de voir comment des participants transforment des données en solutions concrètes et originales. Les challenges de ce type montrent aussi l’importance de la créativité autant que de la maîtrise technique. Pour partager les résultats, présentations et documents du projet, regrouper plusieurs
fichiers PDF en un seul peut être une façon simple de garder toutes les ressources bien organisées.
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