Table 8 Statistical significance of differences in classification accuracy between quadruple combinations of classfication algorithms and proposed Hybrid algorithm
From: A novel hybrid model to predict concomitant diseases for Hashimoto’s thyroiditis
Classification methods | Proposed hybrid method | Z-test | \(x^2\)-test | p value |
|---|---|---|---|---|
SVM-RF-LR-KNN | Hybrid RF-LR-KNN-MLP | 14.6 | 213.1 | \(<0\).0001 |
SVM-RF-LR-MLP | Hybrid RF-LR-KNN-MLP | 7.81 | 61.0 | \(<0\).0001 |
SVM-RF-KNN-MLP | Hybrid RF-LR-KNN-MLP | 17.25 | 306.25 | \(<0\).0001 |
SVM-LR-KNN-MLP | Hybrid RF-LR-KNN-MLP | 8.9 | 79.21 | \(<0\).0001 |
RF-LR-KNN-MLP | Hybrid RF-LR-KNN-MLP | 11.8 | 139.24 | \(<0\).0001 |