Table 4b.
Prediction performance of the genomics models constructed by four classifiers of validation set.
| feature-selection of training set | Number | PosNum | NegNum | AUC | 95% CIs | Std | Acc | Youden Index | Sen | Spe | PPV | NPV |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MinMax_PCC_RFE_5_LR | 155 | 84 | 71 | 0.7341 | [0.6496–0.8155] | 0.0419 | 0.7161 | 0.4904 | 0.6786 | 0.7606 | 0.7703 | 0.6667 |
| MinMax_PCC_RFE_9_SVM | 155 | 84 | 71 | 0.7202 | [0.6353–0.8042] | 0.0417 | 0.6774 | 0.562 | 0.5595 | 0.8169 | 0.7833 | 0.6105 |
| MinMax_PCC_RFE_7_RF | 155 | 84 | 71 | 0.7076 | [0.6278–0.7898] | 0.0404 | 0.6581 | 0.550 | 0.5595 | 0.7746 | 0.746 | 0.5978 |
| MinMax_PCC_RFE_8_DT | 155 | 84 | 71 | 0.5804 | [0.5067–0.6600] | 00.0394 | 0.5806 | 1 | 0.583 | 0.575 | 0.6203 | 0.5395 |