## Evaluation Criteria

The evaluation of your submissions will be conducted by computing a score based on your model's performance. The baseline score will set a standard where achieving this score will correspond to a grade of 10 out of 20. The best performing group's score will set the benchmark for a grade of 20 out of 20. All other participants' grades will be determined linearly in proportion to these two benchmarks. This method ensures that your grade reflects how your performance compares to the established benchmarks of the baseline and best scores.

## Submission Guidelines

Participants must submit all required materials through Moodle by the specified deadline. It is crucial to adhere to the submission timeline as late submissions risk not being graded. Ensure that you check and include all necessary files and documentation to support your project.

### Key Points to Remember:

- **Deadline Compliance:** Submit your materials on or before the due date to avoid penalties.
- **Complete Submissions:** Include all required documents, code files, and write-ups as specified in the assignment instructions.

Failure to comply with these guidelines could result in your submission not being evaluated, which would impact your grade for this course. Please plan accordingly to ensure timely and complete submissions.