# Metric
The evaluation metric for this competition is [Accuracy]( https://en.wikipedia.org/wiki/Accuracy_and_precision#In_binary_classification) – the number of correct predictions divided by the number of all predictions.

# Submission format
You should submit a csv file with the same number of rows + header row as in test.csv file. For every row in the dataset, submission files should contain two columns: ``station_id`` (representing the id of the water station) and ``compliance_2021`` (representing the prediction about the compliance of the water quality):
* 0 – water quality in 2021 is **compliant** with the regulation.
* 1 – water quality in 2021 is **not-compliant** with the regulation.
The file should contain a header and have the following format:

```
station_id, compliance_2021
165, 1
123, 0
Etc.
```
NB: the `compliance_2021` values will be treated as strings. Make sure that your result is presented without commas (1.0 is not the same as 1).