Submissions are evaluated using **Root Mean Squared Error (RMSE)**:

$$
\mathrm{RMSE} = \sqrt{\frac{1}{N}\sum_{i=1}^{N}\left(\hat{y}_i - y_i\right)^2}
$$

where:
<ul>
  <li>ŷ<sub>i</sub> is your predicted price</li>
  <li>y<sub>i</sub> is the actual price</li>
  <li><em>N</em> is the number of rows in the test set</li>
</ul>

A lower RMSE indicates better performance.

## Submission File
For each row in the test set, you must predict the `price`.  

Your submission file should be a CSV with the following format:

```
ID,price
100000,1928.99
100001,1928.99
100002,1928.99
```