Evaluation Metric
The evaluation metric for this competition is Mean Absolute Error (MAE). MAE is defined as follows:
$$MAE=\frac{ \sum_{i=1}^{n}  |\hat{y}_{i} - y_{i}|}{n},$$
where $$\hat{y}_{1}, \hat{y}_{2}, \ldots, \hat{y}_{n}$$ are predicted values,$$ y_{1}, y_{2}, \ldots, y_{n} $$ are observed values, and n is the number of observations.
Submission Format
Your submission file must have a header and should be structured in the following format:
id, predicted
1,1
An id column identifying the row and an expected column specifying the expected value of response variable predicted by your model.