Table A1.
Evaluation metrics for the “Leave Some Subjects Out” (LSSO) cross-validation analysis. For each subset of the available features, all the metrics for the 5 models are shown. C1: volume and thickness of each ETDRS sector, C2: C1 + BCVA, C3: C1 + clinical annotations, C4: C1 + BCVA + clinical annotations.
| C | Model | ROC AUC | Accuracy | F1 | Recall | MCC |
|---|---|---|---|---|---|---|
| C1 | SVC | 0.564 ± 0.052 | 0.573 ± 0.057 | 0.504 ± 0.075 | 0.509 ± 0.122 | 0.131 ± 0.103 |
| C1 | RFC | 0.62 ± 0.041 | 0.624 ± 0.044 | 0.57 ± 0.063 | 0.584 ± 0.126 | 0.245 ± 0.08 |
| C1 | ETC | 0.623 ± 0.042 | 0.626 ± 0.045 | 0.579 ± 0.055 | 0.596 ± 0.108 | 0.25 ± 0.085 |
| C1 | GBC | 0.601 ± 0.054 | 0.612 ± 0.058 | 0.532 ± 0.082 | 0.517 ± 0.126 | 0.209 ± 0.11 |
| C1 | XGBC | 0.602 ± 0.044 | 0.605 ± 0.055 | 0.543 ± 0.082 | 0.557 ± 0.149 | 0.212 ± 0.095 |
| C2 | SVC | 0.547 ± 0.032 | 0.556 ± 0.034 | 0.474 ± 0.072 | 0.472 ± 0.12 | 0.096 ± 0.065 |
| C2 | RFC | 0.621 ± 0.039 | 0.628 ± 0.043 | 0.564 ± 0.057 | 0.56 ± 0.109 | 0.246 ± 0.078 |
| C2 | ETC | 0.634 ± 0.045 | 0.638 ± 0.046 | 0.59 ± 0.064 | 0.607 ± 0.116 | 0.271 ± 0.087 |
| C2 | GBC | 0.598 ± 0.057 | 0.612 ± 0.056 | 0.512 ± 0.115 | 0.492 ± 0.156 | 0.202 ± 0.11 |
| C2 | XGBC | 0.62 ± 0.049 | 0.633 ± 0.055 | 0.546 ± 0.082 | 0.523 ± 0.135 | 0.254 ± 0.099 |
| C3 | SVC | 0.747 ± 0.046 | 0.77 ± 0.034 | 0.675 ± 0.081 | 0.564 ± 0.106 | 0.541 ± 0.073 |
| C3 | RFC | 0.734 ± 0.031 | 0.748 ± 0.036 | 0.683 ± 0.053 | 0.635 ± 0.137 | 0.501 ± 0.066 |
| C3 | ETC | 0.742 ± 0.048 | 0.764 ± 0.042 | 0.67 ± 0.083 | 0.569 ± 0.135 | 0.535 ± 0.08 |
| C3 | GBC | 0.75 ± 0.047 | 0.764 ± 0.038 | 0.696 ± 0.082 | 0.643 ± 0.145 | 0.53 ± 0.079 |
| C3 | XGBC | 0.749 ± 0.033 | 0.761 ± 0.03 | 0.702 ± 0.058 | 0.659 ± 0.116 | 0.518 ± 0.057 |
| C4 | SVC | 0.744 ± 0.046 | 0.768 ± 0.034 | 0.672 ± 0.08 | 0.56 ± 0.105 | 0.536 ± 0.072 |
| C4 | RFC | 0.736 ± 0.03 | 0.754 ± 0.032 | 0.68 ± 0.06 | 0.619 ± 0.15 | 0.514 ± 0.051 |
| C4 | ETC | 0.733 ± 0.036 | 0.756 ± 0.031 | 0.662 ± 0.069 | 0.563 ± 0.124 | 0.518 ± 0.058 |
| C4 | GBC | 0.746 ± 0.043 | 0.76 ± 0.04 | 0.694 ± 0.071 | 0.642 ± 0.133 | 0.522 ± 0.076 |
| C4 | XGBC | 0.752 ± 0.029 | 0.763 ± 0.03 | 0.712 ± 0.046 | 0.678 ± 0.095 | 0.52 ± 0.057 |
C = combination; ROC AUC = area under the receiver operating characteristic curve; MCC = Matthews correlation coefficient; SVC = support vector classifier; RFC = Random Forest Classifier; ETC = Extra Trees Classifier; GBC = Gradient Boost Classifier; XGBC = Extreme Gradient Boosting Classifier.