##ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.

**[See Section 3.18 for defined terms](rules#18.-terms)**

*The Competition named below is a skills-based competition to promote and further the field of data science. You must register via the Competition Website to enter. To enter the Competition, you must agree to these Official Competition Rules, which incorporate by reference the provisions and content of the Competition Website and any Specific Competition Rules herein (collectively, the "Rules"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that Submission in the Competition constitutes agreement to these Rules. You may not submit to the Competition and are not eligible to receive the prizes associated with this Competition unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition. Your competition Submissions must conform to the requirements stated on the Competition Website. Your Submissions will be scored based on the evaluation metric described on the Competition Website. Subject to compliance with the Competition Rules, Prizes, if any, will be awarded to Participants with the best scores, based on the merits of the data science models submitted. See below for the complete Competition Rules.*

**You cannot sign up to Kaggle from multiple accounts and therefore you cannot enter or submit from multiple accounts.**
1. COMPETITION-SPECIFIC TERMS
1. COMPETITION TITLE
Global E-Commerce Customer Purchase Prediction
2. COMPETITION SPONSOR
Global Data Science Community Challenge (Independent Host)
3. COMPETITION SPONSOR ADDRESS
Online / Global
4. COMPETITION WEBSITE
https://www.kaggle.com/competitions/global-ecommerce-purchase-prediction
5. TOTAL PRIZES AVAILABLE
No monetary prizes are awarded. This is a skills-based competitive data science challenge.

First Prize: Leaderboard Recognition  
Second Prize: Leaderboard Recognition  
Third Prize: Leaderboard Recognition  

Non-monetary recognition may include public acknowledgment and solution spotlight in competition forums.
6. WINNER LICENSE TYPE
Non-Exclusive License.
7. DATA ACCESS AND USE
You may access and use the Competition Data for non-commercial purposes only, including participating in the Competition, educational use, and academic research. Commercial deployment of models trained on this dataset is not permitted without explicit written permission from the Competition Sponsor.

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###2. COMPETITION-SPECIFIC RULES

In addition to the provisions of the General Competition Rules below, you understand and agree to these Competition-Specific Rules required by the Competition Sponsor:

####1. TEAM LIMITS
a. The maximum Team size is three (3).
b. Team mergers are allowed and can be performed by the Team leader. In order to merge, the combined Team must have a total Submission count less than or equal to the maximum allowed as of the Team Merger Deadline. The maximum allowed is the number of Submissions per day multiplied by the number of days the competition has been running.
####2. SUBMISSION LIMITS
a. You may submit a maximum of five (5) Submissions per day.
b. You may select up to three (3) Final Submissions for judging on the private leaderboard.
####3. COMPETITION TIMELINE
a. Competition Timeline dates (including Entry Deadline, Final Submission Deadline, Start Date, and Team Merger Deadline, as applicable) are reflected on the competition’s Overview > Timeline page.
####4. COMPETITION DATA

a. Data Access and Use.
You may access and use the Competition Data for non-commercial purposes only, including for participating in the Competition, academic research, and education. The Competition Sponsor reserves the right to disqualify any Participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.
b. Data Security.
1. You agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Competition Data to any party not participating in the Competition. You agree to notify Kaggle immediately upon learning of any possible unauthorized transmission of or unauthorized access to the Competition Data and agree to work with Kaggle to rectify any unauthorized transmission or access.
####5. WINNER LICENSE

a. Under Section 2.8 (Winners Obligations) of the General Rules below, you hereby grant and will grant the Competition Sponsor the following license(s) with respect to your Submission if you are a Competition winner:
1. You hereby grant to the Competition Sponsor a worldwide, non-exclusive, sub-licensable, transferable, fully paid-up, royalty-free, perpetual, irrevocable right to use, reproduce, distribute, create derivative works of, publicly perform, publicly display, and digitally perform your winning Submission and the source code used to generate the Submission for educational, research, and competition-related purposes.
2. For generally commercially available software that you used to generate your Submission that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, you do not need to grant the license in the preceding Section for that software.
3. In the event that input data or pretrained models with an incompatible license are used to generate your winning solution, you do not need to grant a license for that data and/or model(s), provided such use complies with these Competition Rules.
b. You may be required by the Sponsor to provide a detailed description of how the winning Submission was generated, including methodology, preprocessing steps, model architecture, hyperparameters, and training details sufficient for reproducibility.
####6. EXTERNAL DATA AND TOOLS

a. You may use data other than the Competition Data (“External Data”) to develop and test your Submissions, provided that such data is publicly available, reasonably accessible to all Participants at minimal or no cost, and does not violate these Competition Rules.
b. The use of external models, pretrained models, and large language models is permitted provided their use complies with the Reasonableness Standard and applicable licensing requirements.
c. Automated Machine Learning Tools (“AMLT”)
1. Participants may use automated machine learning tools (e.g., AutoML frameworks) provided they have proper licensing and the resulting Submission complies with all Competition Rules.
####7. ELIGIBILITY

a. Employees, interns, contractors, officers and directors of Competition Entities may participate but are not eligible to receive any Prizes. "Competition Entities" means the Competition Sponsor, Kaggle Inc., and their respective parent companies, subsidiaries and affiliates.
####8. WINNER’S OBLIGATIONS

a. As a condition to being recognized as a winner, a winner must:
1. Deliver the final model code and documentation sufficient to reproduce the winning Submission, including training and inference code.
2. Grant the license specified in Section 5 above.
3. Sign and return any required eligibility certifications or documentation.
####9. GOVERNING LAW

a. Unless otherwise provided above, all claims arising out of or relating to these Rules will be governed by California law, excluding its conflict of laws rules, and will be litigated exclusively in the Federal or State courts of Santa Clara County, California, USA. The parties consent to personal jurisdiction in those courts. If any provision of these Rules is held invalid or unenforceable, the remaining provisions will remain in full force and effect.