The evaluation metric for this competition is [RMSE (Root Mean Squared Error)](https://en.wikipedia.org/wiki/Root-mean-square_deviation). The RMSE score, commonly used in regression tasks, measures the goodness-of-fit using the predicted values and the true values of the outcome varaible  y

$$
\mbox{RMSE} = \sqrt{\sum\_{i=1}^n \frac{(y_i  - \hat y\_i)^2}{n}}
$$

## Submission Format

**For every prediction in the dataset**, submission files should contain two columns: `Id` and `Predicted`. `Predicted` should be float numbers. Every `Id` represent the song Id, and prediction should be listed with respect to its ids. For example, if you predict a release song with Id `511162`, you should assign your prediction at the row which Id is `511162`. The size of the submission file should be around 774.47KB.


The file should contain headers for columns in the following format:
```
Id,Predited
511162,2000
```