Introducing the NTHU-EZTABLE Kaggle Contest (Predicting Repeat Restaurant Bookings)

Post on 28-Jun-2015

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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-bookings

Transcript of Introducing the NTHU-EZTABLE Kaggle Contest (Predicting Repeat Restaurant Bookings)

Business Analytics Using Data Mining

https://inclass.kaggle.com/c/predict-repeat-restaurant-bookings

https://inclass.kaggle.com/c/predict-repeat-restaurant-bookings

?For each booking, enter probability of re-booking within 90 days. A number between [0,1].

train.txt (n=117,000 first bookings by members)

test.txt (50,000 first bookings by members)

Additional datasetsrestaurant.txt (n=725 restaurants)

member.txt (n=700K members)

Max 3 people

NTHU team?Use NTHU in your team name!

Max 2 submissions/day

Leaderboards: Public and Private

Business Analytics Using Data Mining