Table 3.

Responsiveness and reliability in predicting length of stay for the 10 models developed using all 15 variables

LOS
	Reliability (Accuracy)			Responsiveness (AUC)
	Training	Testing	Validation	Training	Testing	Validation
Random Forest	91.44%	60.86%	61.30%	0.94	0.632	0.636
Neural Network	62.81%	62.84%	62.79%	0.662	0.661	0.668
XGT Boost Tree	61.44%	61.40%	61.44%	0.619	0.615	0.61
XGT Boost linear	61.44%	61.40%	61.44%	0.603	0.6	0.595
LSVM	66.64%	66.84%	66.55%	0.689	0.689	0.684
CHAID	65.54%	65.41%	65.63%	0.665	0.665	0.663
Decision List	85.57%	85.39%	85.44%	0.59	0.593	0.59
Discriminant	59.29%	59.55%	59.12%	0.616	0.622	0.615
Logistic Regression	62.84%	62.87%	62.79%	0.662	0.662	0.661
Bayesian Network	62.99%	63.22%	63.03%	0.664	0.665	0.664