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Predicting reservation cancellations: Predict whether resort/city hotel reservations will be cancelled

Predicting cancellations using data consisting of over 100,000 reservations
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137
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766
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Submission Period: May 1, 2020 05:00 UTC July 3, 2020 05:00 UTC
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Introduction

Customers cancelling reservations severely impact the results of hotels and dining facilities. It not only damages revenue, but also wastes the food in stock and personnel expenses used to provide services.

The goal of this competition is to use data consisting of over 100,000 reservations to categorize reservations into those that will and will not be cancelled. The data uses actual reservations that were made in several cities across Portugal. This is a challenge that predicts cancellations. It’s also very meaningful for society because it can later be used for various purposes such as analyzing the causes behind the cancellations.

Since the data is in chronological order, you will be able to learn data processing methods that can be applied in various fields.

Timeline

Competition Begins
May 1, 2020 05:00 UTC
Start of entry
Data & Issues published
Start of submissions uploading
Start of final submissions seelecting and changing
Start of latest scores and rankings (sequential update)
Submission Deadline
July 3, 2020 05:00 UTC
Deadline of entry
Deadline of submissions uploading
Deadline of final submissions seelecting and changing
Stop updating latest scores and rankings
Final Review
July 3, 2020 05:00 UTC – September 3, 2020 10:00 UTC
Review of final submissions
Deadline of contact registration
Announcement of Results
September 3, 2020
Announcement of the final score and ranking
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