introducing the nthu-eztable kaggle contest (predicting repeat restaurant bookings)
DESCRIPTION
Prof. Galit Shmueli introduces and describes the NTHU-EZTABLE data mining contest on Kaggle.com (talk at Taiwan's National Tsing Hua University, Oct 29, 2014). https://inclass.kaggle.com/c/predict-repeat-restaurant-bookingsTRANSCRIPT
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Business Analytics Using Data Mining
https://inclass.kaggle.com/c/predict-repeat-restaurant-bookings
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https://inclass.kaggle.com/c/predict-repeat-restaurant-bookings
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?For each booking, enter probability of re-booking within 90 days. A number between [0,1].
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train.txt (n=117,000 first bookings by members)
test.txt (50,000 first bookings by members)
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Additional datasetsrestaurant.txt (n=725 restaurants)
member.txt (n=700K members)
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Max 3 people
NTHU team?Use NTHU in your team name!
Max 2 submissions/day
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Leaderboards: Public and Private
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Business Analytics Using Data Mining