### Metric

The evaluation metric for this competition is [Weighted F1-Score](https://en.wikipedia.org/wiki/F-score). It is given by:

`F1 = 2 * (precision * recall) / (precision + recall)`

Precision is the ratio of true positivesto all predicted positives. Recall is the ratio of true positives  to all actual positives. 

The F1 metric weights recall and precision equally, and a good retrieval algorithm will maximize both precision and recall simultaneously. Thus, moderately good performance on both will be favored over extremely good performance on one and poor performance on the other.

## Submission Format

The file should contain a header and have the following format:
```
Id,Cancer
400,1
401,0
402,0
Etc
```

It should contain exactly 2 columns:
- Id
- Cancer (containing your binary predictions: 1 for Yes, 0 for No)