Table 2.
Five-fold cross-validation results of SIL models and MIL models on test datasets.
Models | AUC | Accuracy | Sensitivity | Specificity |
---|---|---|---|---|
S (S training) SIL | 0.796±0.064 | 0.838±0.047 | 0.811±0.112 | 0.875±0.042 |
T (T training) SIL | 0.815±0.071 | 0.852±0.053 | 0.841 ±0.092 | 0.863±0.070 |
S (Straining) MIL | 0.949±0.035 | 0.912±0.036 | 0.873±0.090 | 0.960±0.060 |
T (T training) MIL | 0.954±0.033 | 0.904±0.038 | 0.868±0.073 | 0.945±0.093 |
Multi-view MIL | 0.961±0.026 | 0.925±0.060 | 0.873±0.120 | 0.986±0.032 |