Introducing the NTHU-EZTABLE Kaggle Contest (Predicting Repeat Restaurant Bookings)
14
-
Upload
galit-shmueli -
Category
Career
-
view
302 -
download
3
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-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
