Table 2.

Machine learning algorithms’ performance

Model type	Precision	Recall	Weighted F-score	AUC
Multilayer Perceptron	0.48	0.45	0.46	0.75
Decision Trees	0.53	0.25	0.34	0.64
Random Forests	0.54	0.31	0.39	0.80
Support Vector Machines	0.56	0.36	0.44	0.80
Gradient Boosted Trees	0.99	0.59	0.74	0.96
Logistic Regression	0.59	0.19	0.29	0.81

^*AUC: Aera Under the Curve