## Evaluation Metric
The evaluation metric for this competition is Classification Accuracy, i.e. the percentage of your correct predictions over all your predictions on test set.


## Submission Format

Your submission files should be in .csv format. The data frame should contain two columns: `Id` and `Category`.  Each element of  column `Id` is the name of an image in test set, which is a string (e.g. 0.png). Each element of column `Category` should be an string from {0, 1}  where 0 for fake and 1 for real.  


The .csv file should contain a header and have the following format:
```
Id,Category
0.png,1
1.png,1
2.png,0
...
3999.png,0
```