Table 3 Multiclass classification performances of Fuzzy deep learning in estimation of oral cancer survival time
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 | 1.00 | 0.90 | 0.95 | 0.97 | 0.97 | 1.00 |
Class 1: 13 – 24 months | 0.86 | 0.92 | 0.89 | 0.97 | 0.99 | 1.00 |
Class 2: 25 – 36 months | 0.88 | 1.00 | 0.93 | 0.99 | 1.00 | 1.00 |
Class 3: 37 – 48 months | 0.80 | 1.00 | 0.89 | 0.99 | 1.00 | 1.00 |
Class 4: 49 – 60 months | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
Class 5: > 60 months | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Â | Â | Â | Â | Overall accuracy = 0.97 | Â | Â |