Table 6.

Responsiveness and reliability in predicting length of stay, discharge disposition, and mortality for the best performing three models when trained with patient-specific variables only

	Reliability (Accuracy)			Responsiveness (AUC)
	Training	Testing	Validation	Training	Testing	Validation
LOS
LSVM	64.19%	64.11%	63.98%	0.646	0.649	0.642
CHAID	63.63%	63.83%	63.62%	0.634	0.634	0.63
Decision List	85.64%	85.50%	85.45%	0.586	0.59	0.586
Discharge
LSVM	80.03%	80.07%	79.83%	0.721	0.721	0.723
CHAID	80.04%	80.02%	79.80%	0.706	0.707	0.708
Decision List	89.88%	89.87%	89.59%	0.648	0.649	0.651
Mortality
XGT Boost Tree	99.87%	99.89%	99.89%	0.851	0.883	0.888
LSVM	99.87%	99.89%	99.89%	0.907	0.951	0.941
Decision List	99.90%	99.90%	99.91%	0.845	0.925	0.871