From: Survival estimation of oral cancer using fuzzy deep learning
Class | Precision | Recall (Sensitivity) | F1-score | Accuracy | Specificity | AUC of ROC curve |
---|---|---|---|---|---|---|
Class 0: 0 – 12 months | 0.74 | 0.45 | 0.56 | 0.81 | 0.82 | 0.86 |
Class 1: 13 – 24 months | 0.38 | 0.62 | 0.47 | 0.84 | 0.95 | 0.87 |
Class 2: 25 – 36 months | 0.29 | 0.29 | 0.29 | 0.91 | 0.95 | 0.84 |
Class 3: 37 – 48 months | 0.29 | 0.50 | 0.36 | 0.94 | 0.98 | 0.90 |
Class 4: 49 – 60 months | 0.00 | 0.00 | 0.00 | 0.99 | 0.99 | 0.97 |
Class 5: > 60 months | 0.97 | 1.00 | 0.98 | 0.98 | 1.00 | 1.00 |
 |  |  |  | Overall accuracy = 0.74 |  |  |