This document describes a Kaggle competition to predict the probability of customers rebooking a restaurant within 90 days using data on customer bookings, restaurants, and customer information. Participants are provided training and test data sets of customer bookings and additional data on restaurants and customers. The goal is to predict the probability of rebooking for each booking in the test set between 0 and 1. The competition allows up to 3 people per team and a maximum of 2 submissions per day. Leaderboards will track public and private scores to evaluate predictions.

2. Business Analytics Using Data Mining
https://inclass.kaggle.com/c/predict-repeat-restaurant-bookings

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

4. ?
For each booking, enter probability of re-booking
within 90 days. A number between [0,1].

7. train.txt (n=117,000 first bookings by members)
test.txt (50,000 first bookings by members)

8. Additional datasets
restaurant.txt (n=725 restaurants)
member.txt (n=700K members)

10. Max 3 people
Max 2 submissions/day
NTHU team?
Use NTHU in your team name!

12. Leaderboards: Public and Private

14. Business Analytics Using Data Mining