Submissions will be evaluated on [R2-Score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html) between the predicted CGPA and the actual hidden CGPA of the test dataset. The higher the R2-Score, the better the rank on the Kaggle leaderboard. 


## Submission File
For each ID in the test set, you must predict the CGPA for the test dataset maintaining the exact ID for each prediction. The file should contain a header and have the following format you have to upload your predictions in CSV format: 

ID,CGPA
1,4.007083005743666
2,3.773247733444112
3,4.105744192140591
4,7.948215714427328
5,4.075159640563898
6,7.847659243838525
    etc.