TABLE IV. Performance of Different Algorithms for Mortality Prediction.

Algorithm	Training Sets					Validation Sets
	Accuracy	Precision	Recall	F1score	AUC	Accuracy	Precision	Recall	F1score	AUC
Logistic Regression	0.9320	0.9435	0.9078	0.9252	0.9866	0.9272	0.9411	0.9007	0.9196	0.9848
Random Forest	0.9840	0.9675	0.9992	0.9831	0.9990	0.9549	0.9319	0.9758	0.9527	0.9883
SVM	0.9415	0.9750	0.8970	0.9343	0.9832	0.9397	0.9748	0.8936	0.9317	0.9814
K Nearest Neighbors	0.9320	0.9435	0.9078	0.9252	0.9866	0.9272	0.9411	0.9007	0.9196	0.9848
Neural Network	0.9459	0.9049	0.9876	0.9443	0.9913	0.9385	0.9003	0.9780	0.9367	0.9840