To complete the workshop, students were split into two teams and participated in a Kaggle competition about using game play information to predict whether or not a game play team will win or lose. The students should build a machine learning model to predict the outcome of the match (win=1, or lose=0) from a set of game variables.
Suprisingly, both teams achieved better prediction accuraries than a baseline of about 83%, and the team DarkLord666 led by Lucy won the competition! In particular, the team member, Brian, achieved the highest prediction acuracy about 96%, significantly better than the baseline accurary. Congratulations to all students, particularly Brian!
Completion!
Jordan & Sarah |
Danial |
Kanishk |
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Tony |
Lucy |
Andrew |
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Brian |
Zeno |
Matthew |
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