Table 4 Results of quadruple 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-KNN | 0.654 | 0.95 | 0.771 | 0.95 | 0.677 |
SVM-RF-LR-MLP | 0.547 | 0.9 | 0.659 | 0.9 | 0.514 |
SVM-RF-KNN-MLP | 0.654 | 0.95 | 0.771 | 0.95 | 0.681 |
SVM-LR-KNN-MLP | 0.667 | 1.0 | 0.798 | 1.0 | 0.720 |
RF-LR-KNN-MLP | 0.694 | 1.0 | 0.796 | 1.0 | 0.778 |
Hybrid-RF-LR-KNN-MLP | 0.731 | 1.0 | 0.800 | 1.0 | 0.815 |