Application of machine learning models on predicting the length of hospital stay in fragility fracture patients

Table 12 Comparison of the performance of different models

	logloss	accurary	precision	AUC
Light Gradient Boosting	0.59993	0.67857	0.73684	0.73344
ANN (2 class classifier)	0.5796	0.7653	0.7055	/
ANN (5 class cassifier)	1.2933	0.4773	/	/
Wide & Deep	0.48968	0.78944	0.72735	0.84398

ISSN: 1472-6947