The evaluation pages describes how submissions will be scored and how students should format their submissions.
The evaluation metric for this competition is
[RMS Error](https://en.wikipedia.org/wiki/Root-mean-square_deviation)
.  The RMS Error is given by:
\[ \text{RMS Error} = \sqrt{\frac{\sum_{i=1}^{n}(\hat{y} - y)^2}{n}} \]
Public Leaderboard is evaluated only on 50% of the test data, remaining 50% will be evaluated after the contest ends
Submission Format
For every row in the test dataset, there should be two columns in the output.csv file:
Id and target
. Order of the results should be kept the same.
Id, target
0,10