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 observations in the test set,
- \\(\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` row in the test set, you must predict the target, `Rings`. The file should contain a header and have the following format:

    id,Rings
    90615,10
    90616,10
    90617,10
    etc.