1. This competition is governed by the following Terms of Participation. Participants must agree to and comply with these Terms to participate.

2. Users can make a maximum number of 2 submissions per day. If users want to submit new files after making 2 submissions in a day, they will have to wait until the following day to do so. Please keep this in mind when uploading a submission.csv file. Any attempt to circumvent stated limits will result in disqualification.

3. The use of external datasets is strictly forbidden.

4. It is not allowed to upload the competition dataset to other websites. Users who do not comply with this rule will be immediately disqualified.

5. The final submission has to be selected manually before the end of the competition (you can select up to 2), or else it will be selected automatically based on your highest public score.

6. If at the time of the end of the competition two or more participants have the same score on the private leaderboard, the participant who submitted the winning file first will be considered for the following review stage.

7. A competition prize will be awarded after we have received, successfully executed, confirmed the validity of both the code and the solution (see 8), and calculated the final challenge score (see 9). 
Once the competition period ends, our team will reach out to top scorers based on the Private Leaderboard score, which will be revealed at this point. Top scorers will be asked to provide the following information by September 16th, 2024 to be qualified for the final review stage, Failure to provide this information may result in disqualification. 
a. All source files required to preprocess the data 
b. All source files required to build, train and make predictions with the model using the processed data 
c. A requirements.txt (or equivalent) file indicating all the required libraries and their versions as needed 
d. A ReadMe file containing the following: 
     • Clear and unambiguous instructions on how to reproduce the predictions from start to finish including data pre-processing, feature extraction, model training, and predictions generation 
     • Environment details regarding where the model was developed and trained, including OS, memory (RAM), disk space, CPU/GPU used, and any required environment configurations required to execute the code 
     • Clear answers to the following questions: 
          - Which data files are being used? 
          - How are these files processed? 
          - What is the algorithm used and what are its main hyperparameters? 
          - Any other comments considered relevant to understanding and using the model

8. The submitted solution should be able to generate exactly the same output that gives the corresponding score on the leaderboard. If the score obtained from the code is different from what’s shown on the leaderboard, the new score will be used for the final rankings unless a logical explanation is provided. Please make sure to set the seed or random state appropriately so we can obtain the same result from your code.

9. Given the particularly small size of the data for this competition. Additional measures are to be put in place in order to be considered elegible for winning a prize.
To be considered a winner in this competition, the following criteria should be met, in order:
    1. All the required information should have been provided. (see 7)
    2. The scores in the private and public leaderboard should be reproducible (see 8)
    3. bitgrit and NASA team will perform internal scoring Cross Validation and similar experiments with the provided model, using the same test size. If the results are inconsistent with the score on the leaderboard (>10% difference between the Overall Score (Private + Public Scores) and the Internal Score, then only the Internal Score will be considered for as Final Score. If the results are consistent, then the Final Score will be calculated as the average between the Overall Score and the Internal Score.
    4. The final ranking will be elaborated using the Final Score, and the winners will be awarded per this ranking.

10. In order to be eligible for the prize, the competition winner must agree to transfer to the Host and the relevant transferee of rights in such Competition all transferable rights, such as copyrights, rights to obtain patents and know-how, etc. in and to all analysis and prediction results, reports, analysis and prediction model, algorithm, source code and documentation for the model reproducibility, etc., and the Submissions contained in the Final Submissions.

11. Any prize awards are subject to eligibility verification and compliance with these Terms of Participation. All decisions of bitgrit will be final and binding on all matters relating to this Competition.

12. Payments to winners may be subject to local, state, federal and foreign tax reporting and withholding requirements.

13. If you have any inquiries about this competition, please don’t hesitate to reach out to us at [email protected].