## Metric The evaluation metric for this competition is AUC (area under the curve). 

The AUC score, commonly used in credit risk tasks, measures performance of models for prediction of binary targets. You shall use sklearn package to evaluate the metric on your train dataset. See https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html 

## Submission Format 

Submission csv should contain two columns: 
* **Booking\_ID** - column ID for the observation 
* **prediction** - column consisting of the predicted value Submission was tested using comma separated csv format.