The evaluation metric for this competition is **Root Mean Squared Logarithmic Error**.

The **RMSLE** is calculated as:
\[\sqrt{ \frac{1}{n} \sum\_{i=1}^n \left(\log (1 + \hat{y}\_i) - \log (1 + y\_i)\right)^2}\]
where:
- \\(n\\) is the total number of instances,
- \\(\hat{y}\_i\\) is the predicted value of the target for instance \(i\),
- \\(y\_i\\) is the actual value of the target for instance \(i\), and,
- \\(\log\\) is the natural logarithm.


## Submission File
For each **id** in the test set, you must predict a value for the **sales** variable. The file should contain a header and have the following format:

```
id,sales
3000888,0.0
3000889,0.0
3000890,0.0
3000891,0.0
3000892,0.0
etc.
```