Prediction of 5-year overall survival of tongue cancer based machine learning

BMC Oral Health

Table 2 Predictive performance of the six machine learning models

Models(18 features)	AUC	Accuracy	Precision	Recall	F1
Logistic Regression	0.845	0.615	0.554	1	0.713
SVC	0.831	0.738	0.719	0.742	0.730
Decision Tree	0.712	0.708	0.688	0.710	0.698
RF	0.850	0.785	0.743	0.839	0.788
XGB	0.790	0.692	0.649	0.774	0.706
LGBM	0.790	0.692	0.649	0.774	0.706

Abbreviations: SVC Support vector machines, RF Random Forest, XGB eXtreme Gradient Boosting(XGB), LGBM Light Gradient Boosting Machine, AUC Area Under the Curve

ISSN: 1472-6831