Table 3 Comparison of DGS performance with different feature selection models in term of AC, SN, SP, PPV, NPV, AUC, S and TM with CI 95% for each test
From: Deep gene selection method to select genes from microarray datasets for cancer classification
| Â | CSF | CSFS | WS | SVM | GEP | DGS |
|---|---|---|---|---|---|---|
AC avg. | 0. 8436 | 0.8370 | 0.8395 | 0.8544 | 0.8577 | 0. 8749 |
CI 95% | ±0.1921 | ±0.1279 | ±0.1180 | ±0.0986 | ±0.0922 | ± 0.1287 |
SN avg. | 0.8995 | 0.8907 | 0.8932 | 0.9307 | 0.9278 | 0.9522 |
CI 95% | ±0.2520 | ±0.1893 | ±0.1753 | ±0.1362 | ±0.1575 | ±0.1187 |
SP avg | 0.7707 | 0.7669 | 0.7694 | 0.7548 | 0.7662 | 0.7739 |
CI 95% | ±0.5809 | ±0.3157 | ±0.3417 | ±0.1682 | ±0.1001 | ±0.2569 |
PPV avg. | 0.8373 | 0.8332 | 0.8351 | 0.8321 | 0.8382 | 0.8462 |
CI 95% | ±0.2956 | ±0.1652 | ±0.1744 | ±0.0910 | ±0.0637 | ±0.1362 |
NPVavg. | 0.8550 | 0.8434 | 0.8468 | 0.8931 | 0.8907 | 0.9253 |
CI 95% | ±0.3803 | ±0.2855 | ±0.2557 | ±0.2475 | ±0.2749 | ±0.2401 |
AUCavg. | 0.8293 | 0.8104 | 0.8414 | 0.8499 | 0.8423 | 0.8687 |
CI 95% | ±0.0223 | ±0.0213 | ±0.0211 | ±0.0218 | ±0.0216 | ±0.0210 |
Savg. | 6.5 | 6.9 | 6.7 | 6.3 | 6.2 | 3.9 |
CI 95% | ±0.8430 | ±0.978 | ±1.0013 | ±1.3016 | ±0.9917 | ±0.3338 |
TM avg | 600.12 | 600.02 | 600.01 | 600.21 | 620.51 | 218.85 |
CI 95% | ±0.1821 | ±0.0189 | ±0.0134 | ±0.3700 | ±24.6415 | ±34.6227 |