Table 7.

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

	Reliability (Accuracy)			Responsiveness (AUC)
	Training	Testing	Validation	Training	Testing	Validation
LOS
LSVM	62.07%	61.78%	62.04%	0.587	0.586	0.584
CHAID	64.92%	64.88%	65.10%	0.648	0.651	0.649
Decision List	84.45%	84.61%	84.26%	0.559	0.556	0.561
Discharge
LSVM	79.81%	79.81%	79.53%	0.581	0.581	0.581
CHAID	79.81%	79.81%	79.53%	0.585	0.582	0.583
Decision List	90.97%	91.05%	91%	0.557	0.553	0.554
Mortality
XGT Boost Tree	99.87%	99.89%	99.89%	0.5	0.5	0.5
LSVM	99.87%	99.89%	99.89%	0.639	0.494	0.514
Decision List	58.31%	58.29%	58.53%	0.571	0.455	0.536