Table 1 The AUC value for each combinations for each feature selection algorithm
From: Best serum biomarker combination for ovarian cancer classification
Algorithm | Size | Combinations | AUC |
|---|---|---|---|
GA | 2 | ApoCIII, TTR | 0.86 |
3 | IL-6, CEA, OPN | 0.90 | |
4 | MIF, ApoAI, OPN, IL-6 | 0.90 | |
RF | 2 | CA125, HE4-ELISA | 0.92 |
3 | Prolactin, TTR, HE4-ELISA | 0.98 | |
4 | TTR, Prolactin, CA125, HE4-ELISA | 0.98 | |
T-Test | 2 | TTR, ApoCIII | 0.95 |
3 | TTR, ApoCIII, Prolactin | 0.98 | |
4 | TTR, ApoCIII, Prolactin, OPN | 0.99 | |
LR | 2 | Prolactin, TTR | 0.98 |
3 | ApoCIII, HE4-ELISA, Prolactin | 0.99 | |
4 | HE4-ELISA, PDGF-AA, Prolactin, TTR | 0.99 |