The evaluation metric for this competition is [MAPE]
(https://en.wikipedia.org/wiki/Mean_absolute_percentage_error). The mean absolute percentage error (MAPE), also known as mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting method in statistics.

MAPE is calculated as follows:
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3839290%2F171c4b9da42688337330d7e522ebfc59%2Fmape.png?generation=1675298280096656&alt=media)


Where 
##yi is  the actual value 
## ŷ is the forecasted value
​

## Submission Format

**For every author in the dataset**, submission files should contain two columns: `id` and `emission_co_mg_forecast`. 

The file should contain a header and have the following format:
```
id,emission_co_mg_forecast
0,88798535.2202487
1,95205432.69541153
2,81749312.50684434
3,47907980.89800926
4,91255169.45161174

```