Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study

Table 7 Accuracy of classifier before and after using feature selection techniques

Num	Classifiers	Best accuracy		Best AUC measurement
Num	Classifiers	Before features selection	After features selection	Before features selection	After features selection
1	XGB	69.47	85.68 (by Boruta-F)	7.037	8.377(by Boruta-F)
2	HGB	62.58	88.25 (by Boruta-F)	6.206	8.863(by Boruta-F)
3	SVM	68.25	89.10 (by LASSO-F)	6.914	8.937 (by LASSO-F)

ISSN: 1472-6947