Table 2.

Prediction performance for all the algorithms

Algorithms	Precision	Recall	F score	AUC
Bayesian Network	0.87	0.86	0.87	0.94
Random Forest	0.72	0.85	0.78	0.81
Decision Tree	0.70	0.82	0.76	0.75
Neural Network (cluster) 1	0.69	0.81	0.75	0.71
Logistic Regression	0.69	0.82	0.75	0.71
Support Vector Machine	0.69	0.80	0.74	0.67
LASSO	0.56	1.00	0.72	0.50
Neural Network2	0.56	1.00	0.72	0.50

¹Neural Network with fast variable selection;

¹Neural Network without fast selection