Table 2.
Performance metrics of different models.
| 1st Radiomics | 2nd Radiomics | Delta Radiomics | 1st Dosiomics | 2nd Dosiomics | Delta Dosiomics | Ensemble Feature Selection (EFS) | |
|---|---|---|---|---|---|---|---|
| Sensitivity | 0.503 ± 0.271 (95% CI: 0.469–0.537) |
0.755 ± 0.266 (95% CI: 0.722–0.789) |
0.903 ± 0.174 (95% CI: 0.882–0.925) |
0.559 ± 0.271 (95% CI: 0.525–0.592) |
0.538 ± 0.309 (95% CI: 0.499–0.577) |
0.802 ± 0.242 (95% CI: 0.772–0.832) |
0.907 ± 0.169 (95% CI: 0.886–0.928) |
| Specificity | 0.745 ± 0.128 (95% CI: 0.729–0.761) |
0.854 ± 0.102 (95% CI: 0.841–0.867) |
0.836 ± 0.117 (95% CI: 0.822–0.851) |
0.636 ± 0.141 (95% CI: 0.618–0.654) |
0.713 ± 0.129 (95% CI: 0.697–0.729) |
0.872 ± 0.102 (95% CI: 0.860–0.885) |
0.920 ± 0.085 (95% CI: 0.909–0.931) |
| Accuracy | 0.696 ± 0.107 (95% CI: 0.682–0.709) |
0.833 ± 0.090 (95% CI: 0.822–0.844) |
0.850 ± 0.094 (95% CI: 0.838–0.862) |
0.621 ± 0.112 (95% CI: 0.607–0.635) |
0.677 ± 0.111 (95% CI: 0.664–0.691) |
0.858 ± 0.086 (95% CI: 0.847–0.869) |
0.917 ± 0.072 (95% CI: 0.908–0.926) |
| AUC | 0.748 ± 0.143 (95% CI: 0.731–0.766) |
0.883 ± 0.107 (95% CI: 0.870–0.896) |
0.944 ± 0.061 (95% CI: 0.936–0.951) |
0.705 ± 0.157 (95% CI: 0.685–0.724) |
0.725 ± 0.158 (95% CI: 0.705–0.744) |
0.942 ± 0.062 (95% CI: 0.934–0.950) |
0.979 ± 0.039 (95% CI: 0.974–0.984) |
| Precision | 0.344 ± 0.197 (95% CI: 0.319–0.368) |
0.605 ± 0.232 (95% CI: 0.577–0.634) |
0.632 ± 0.197 (95% CI: 0.607–0.657) |
0.285 ± 0.140 (95% CI: 0.268–0.302) |
0.319 ± 0.182 (95% CI: 0.296 –0.341) |
0.661 ± 0.224 (95% CI: 0.633–0.689) |
0.786 ± 0.201 (95% CI: 0.761–0.811) |
| F1 Score | 0.389 ± 0.193 (95% CI: 0.365–0.413) |
0.640 ± 0.199 (95% CI: 0.615–0.665) |
0.720 ± 0.151 (95% CI: 0.701–0.739) |
0.366 ± 0.162 (95% CI: 0.346–0.386) |
0.386 ± 0.205 (95% CI: 0.361–0.412) |
0.694 ± 0.186 (95% CI: 0.671–0.718) |
0.821 ± 0.147 (95% CI: 0.803–0.839) |