Submissions are evaluated based on **Root Mean Squared Error (RMSE)**. The formula for RMSE is:
$$
RMSE = \sqrt{\frac{1}{n} \sum_{i=1}^{n} (y_i - \hat{y}_i)^2}
$$
Where:

- y_i is the actual value.
- hat{y}_i is the predicted value.
- n is the number of predictions.

Lower RMSE values indicate better model performance.


## Submission File
Participants must submit a CSV file with the following structure:

-'ID': Indexed from 1 . For next 10 days and at steps of 1 hour as in the train data set 
- `PM2.5 (ug/m3)` : The predicted values for the corresponding hour.

### Example submission format:

|ID    | PM2.5 (ug/m3)      |
|----|--------------------|
| 1 | 26.5142106147924   |
|2| 23.4832219198731   |
|3  | 20.6924727764641   |
| 4  | 20.8520423103246   |
| 5 | 17.0894582242196   |
| 6 | 13.3268741381147   |
| 7  | 13.4950431737209   |

And this uptil 2023-03-31 23:00:00 rows should be forecasted and submitted in csv format