### Participation
1. To join the competition click the "Join Competition" button. **In addition, please fill in the**  [ registration form](https://docs.google.com/forms/d/e/1FAIpQLSdWI0lH-mnJ2Cs8zi0UsyFcsZxjxSQ1fEnXSZnXFfI_MIDlxw/viewform?usp=sf_link).
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F11045058%2Fbd80f888371e1323fdf06ec334f31f16%2FScreenshot%202023-06-02%20145927.png?generation=1685708321707432&alt=media)

2.  Each participant is required to upload the ’solution.csv’ with labels predictions generated by their model.
2. To ensure the fairness of the competition, the winners will be required to provide a description of their methods and share their models so that the results can be verified.
3. An article about this contest will be published in the [IACT'23](https://en.sce.ac.il/news/iact23) proceedings.
4. The first- and second-place winners of this competition will be announced at a special session at the [IACT'23](https://en.sce.ac.il/news/iact23) workshop.

###  One account per participant
Participants cannot sign up to Kaggle from multiple accounts and, therefore, cannot submit from multiple accounts.

### No private sharing outside teams

Privately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums.

### Team Limits
There is no maximum team size.

### Submission Limits
Participants may submit a maximum of 5 entries per day.

### The use of the competition data is not permitted for commercial purposes.
The use of the competition data is permitted for research purposes with the condition of properly citing the competition.

### Only automatic prediction methods are allowed to compete.