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,
- 𝑦̂𝑖 is the predicted value of the target for instance (i),
- 𝑦𝑖  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 Bitcoin closing value. The file should contain a header and have the following format:

```
id,Close
2602,0.0
2603,0.0
2604,0.0
2605,0.0
2606,0.0
etc.
```