The evaluation metric for this competition is
[Area Under the Curve](https://www.explorium.ai/wiki/auc/)
. The AUC score, is a performance measurement for classification problems. It tells how much the model is capable of distinguishing between classes. The higher the AUC, the better the model is in distinguishing between classes.
Submission Format
For every UDI in the dataset
, submission files should contain two columns: UDI and Machine failure. Machine failure should be a boolean(1 or 0).
The file should contain a header and have the following format:
UDI , Machine failure
24, 0
25, 0
26, 1