Performance Values of Predictive Models Evaluated in MC Cross-Validation
| Binning configuration | Model | SENS | SPEC | ACC | PPV | NPV | AUC |
| NOB, 64 | M36IEP | 86% | 95% | 89% | 97% | 78% | 0.90 |
| M36IP | 82% | 70% | 78% | 84% | 67% | 0.76 | |
| M36I | 77% | 64% | 72% | 80% | 59% | 0.70 | |
| NOB, 150 | M36IEP | 88% | 95% | 90% | 97% | 81% | 0.91 |
| M36IP | 81% | 74% | 79% | 85% | 67% | 0.77 | |
| M36I | 77% | 65% | 73% | 81% | 60% | 0.71 | |
| NOB, 375 | M36IEP | 88% | 93% | 90% | 96% | 81% | 0.91 |
| M36IP | 83% | 71% | 79% | 85% | 69% | 0.77 | |
| M36I | 77% | 61% | 72% | 79% | 59% | 0.69 | |
| NOB, 512 | M36IEP | 89% | 92% | 90% | 96% | 82% | 0.91 |
| M36IP | 84% | 71% | 79% | 85% | 70% | 0.77 | |
| M36I | 79% | 60% | 72% | 79% | 60% | 0.69 | |
| BS, 0.05 | M36IEP | 88% | 94% | 90% | 96% | 80% | 0.91 |
| M36IP | 79% | 76% | 78% | 86% | 65% | 0.77 | |
| M36I | 76% | 69% | 74% | 82% | 61% | 0.73 | |
| Nonimaging* | M36EP | 79% | 95% | 84% | 97% | 70% | 0.87 |
↵* M36EP is presented separately, as it is independent from image binning configurations.
SENS = sensitivity; SPEC = specificity; ACC = accuracy; PPV = positive predictive value; NPV = negative predictive value.