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Predictive performance of machine-learning models with radiomic features, clinical features, and combined features in the independent test cohort.
| Classifier | Accuracy | AUC | Recall | Precision | F-score |
|---|---|---|---|---|---|
| RF_Radiomics | 85.7% | 0.941 | 0.875 | 0.808 | 0.840 |
| RF_Clinic | 42.9% | 0.503 | 0.625 | 0.395 | 0.484 |
| RF_Combination | 82.1% | 0.936 | 0.875 | 0.750 | 0.808 |
