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. 2023 Apr 6;23:54. doi: 10.1186/s12911-023-02154-y

Table 7.

Accuracy of classifier before and after using feature selection techniques

Num Classifiers Best accuracy Best AUC measurement
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)