Table 3 Results of triple combinations of classfication models
From: A novel hybrid model to predict concomitant diseases for Hashimoto’s thyroiditis
Model | Precision (p) | Recall (r) | F-measure (F) | Sensitivity | Accuracy |
|---|---|---|---|---|---|
SVM-RF-LR | 0.514 | 0.9 | 0.645 | 0.9 | 0.485 |
SVM-RF-KNN | 0.654 | 0.95 | 0.771 | 0.95 | 0.680 |
SVM-RF-MLP | 0.54 | 0.9 | 0.659 | 0.9 | 0.547 |
SVM-LR-KNN | 0.667 | 1.0 | 0.791 | 1.0 | 0.714 |
SVM-LR-MLP | 0.547 | 1.0 | 0.705 | 1.0 | 0.547 |
SVM-KNN-MLP | 0.661 | 1.0 | 0.790 | 1.0 | 0.712 |
RF-LR-KNN | 0.671 | 1.0 | 0.778 | 1.0 | 0.721 |
RF-LR-MLP | 0.514 | 0.9 | 0.645 | 0.9 | 0.480 |
RF-KNN-MLP | 0.668 | 1.0 | 0.789 | 1.0 | 0.715 |
LR-KNN-MLP | 0.671 | 1.0 | 0.793 | 1.0 | 0.726 |
Hybrid-LR-KNN-MLP | 0.722 | 1.0 | 0.823 | 1.0 | 0.792 |