##**Rules**
- Participants may submit their predictions and evaluate their model performance through the Kaggle competition link that will be provided.
- Each participant is allowed a maximum of three evaluation attempts per day.
- The displayed model performance reflects evaluation on 30% of the provided test data.
- Full evaluation results on the 70% of test dataset will only be revealed after the competition ends.
- Participants are prohibited from using any external datasets beyond those provided by the committee.
- Only the Python programming language is allowed for this competition.
- Libraries such as pandas, sklearn, and numpy are permitted.
- The use of AutoML tools is strictly prohibited.

## **Submission**
Kaggle submissions must be in .csv format, containing:
- An ID column
- A Prediction column

Participants must also submit the notebook used to build their model in .ipynb format.

Both the .csv file and the .ipynb notebook must be placed inside a single Google Drive folder, and the folder link must be submitted through the Submission Form that will be provided by the committee.
All submissions must be completed no later than March 8, 2026, at 23:59.

Participants are not allowed to submit notebooks that contain errors.