Evaluation criteria is AUC. The predicted label is a soft label, which represents the possibility of mortality for each patient you predict. The label range is between 0 and 1. 50% of the data is used for the public leaderboard where you can receive feedback on your model.The final private leaderboard will use the remaining 50% of the data and will determine your final class ranking.