TABLE 1.
SVM | GLM | PAM | RF | LDA | DL | |
---|---|---|---|---|---|---|
AUC 95% CI |
1.0000 (0.9000–1) |
1.0000 (0.9000–1) |
0.9456 (0.8500–1) |
0.9788 (0.9000–1) |
1.0000 (0.9000–1) |
1.0000 (0.9500–1) |
Sensitivity | 0.9000 | 0.9200 | 0.8500 | 0.9600 | 0.9555 | 1.0000 |
Specificity | 0.9600 | 0.8800 | 0.9100 | 0.9000 | 0.9700 | 1.0000 |
Note: Important predictors in order: SVM: cg14224170, cg02805448, cg11148697, cg13339291, cg21466229, cg20727403, cg01430372, cg02403931, cg23178322, cg09632446. GLM: cg22712861, cg13775996, cg08035872, cg06085890, cg26607620, cg18784929, cg10275695, cg06931905, cg02484127, cg18106397. PAM: cg25773935, cg10475689, cg20967889, cg09632446, cg24531698, cg00395140, cg14224170, cg10059324, cg24273843, cg20096979. RF: cg04725405, cg06931905, cg23178322, cg09921548, cg04510815, cg05285759, cg07663722, cg27315239, cg01333650, cg21328081. LDA: cg20967889, cg25773935, cg13339291, cg14224170, cg23178322, cg17897505, cg05065507, cg24877731, cg02610227, cg10845342. DL: cg16984992, cg16590012, cgg16550438, cg07240877, cg14870958, cg01291513, cg13151361, cg21242417, cg09518293, cg00019091.
Abbreviations: DL, Deep Learning; GLM, Generalized Linear Model; LDA, Linear Discriminant Analysis; PAM, Prediction Analysis for Microarrays; RF, Random Forest; SVM, Support Vector Machine.