Table 3.
Classification results applied for each outcome.
| Outcome | Best classification method | All common features |
Top five common features |
||||
|---|---|---|---|---|---|---|---|
| AUC | SEN | SPE | AUC | SEN | SPE | ||
| Prop_CV_96M | Multi-Layer Perceptron | 0.80 | 0.86 | 0.69 | 0.73 | 0.95 | 0.63 |
| Prop_CV_48M | Gradient Boosting Machine | 0.70 | 0.79 | 0.55 | 0.70 | 0.79 | 0.55 |
| KL_grade_48M | Multi-Layer Perceptron | 0.88 | 0.86 | 0.77 | 0.87 | 0.80 | 0.77 |
| JSN_48M | Multi-Layer Perceptron | 0.95 | 0.87 | 0.90 | 0.92 | 0.86 | 0.90 |
AUC, area under the curve; JSN_48M, medial joint space narrowing ⩾1 at 48 months; KL_grade_48M, Kellgren–Lawrence grade ⩾2 at 48 months; Prop_CV_48M, cartilage volume loss in medial tibial plateau at 48 months; Prop_CV_96M, cartilage volume loss in medial tibial plateau at 96 months; SEN, sensitivity; SPE, specificity.