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

The **RMSLE** is calculated as:
$$
\textrm{RMSLE} =   \left( \frac{1}{n} \sum\_{i=1}^n \left(\log (1 + \widehat{y}\_i) - \log (1 + y\_i)\right) \right)^{\frac{1}{2}}
$$
where:
- \\(n\\) is the total number of observations in the test set,
- \\(\widehat{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.

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## Submission File
For each `id` row in the test set, you must predict the continuous target, `Calories`. The file should contain a header and have the following format:

    id,Calories
    750000,93.2
    750001,27.42
    750002,103.8
    etc.