Table 4a.
Prediction performance of the genomics models constructed by four classifiers of training 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 | 364 | 197 | 167 | 0.7363 | [0.6882–0.7895] | 0.0262 | 0.7033 | 0.4541 | 0.7462 | 0.6527 | 0.7171 | 0.6855 |
| MinMax_PCC_RFE_9_SVM | 364 | 197 | 167 | 0.7251 | [0.6726–0.7781] | 0.0265 | 0.6868 | 0.4691 | 0.7716 | 0.5868 | 0.6878 | 0.6853 |
| MinMax_PCC_RFE_7_RF | 364 | 197 | 167 | 1 | [1.0000–1.0000] | 0 | 1 | 0.6 | 1 | 1 | 1 | 1 |
| MinMax_PCC_RFE_8_DT | 364 | 197 | 167 | 1 | [1.0000–1.0000] | 0 | 1 | 1 | 1 | 1 | 1 | 1 |