TABLE 4. Performance of Each Model With All Features (AECOPD).
Model | Accuracy | Sensitivity | Specificity | Precision | F1 |
---|---|---|---|---|---|
Random forest | 0.914 | 0.877 | 0.955 | 0.955 | 0.914 |
Decision tree | 0.792 | 0.712 | 0.881 | 0.867 | 0.782 |
LDA | 0.829 | 0.781 | 0.881 | 0.877 | 0.826 |
AdaBoost | 0.886 | 0.822 | 0.955 | 0.952 | 0.882 |
DNN | 0.921 | 0.904 | 0.940 | 0.943 | 0.923 |