Table 3.
Performance comparison of classification models for patients’ reported as NA.
Model | Accuracy | Precision | Sensitivity | Specificity | Model | Accuracy | Precision | Sensitivity | Specificity |
---|---|---|---|---|---|---|---|---|---|
VIF-based feature subset | VIF-based feature subset and location-based features | ||||||||
ANN | 0.46 | 0.37 | 0.5 | 0.44 | ANN | 0.53 | 0.44 | 0.66 | 0.44 |
KNN | 0.6 | 0.5 | 0.66 | 0.55 | KNN | 0.6 | 0.5 | 0.33 | 0.77 |
RFC | 0.46 | 0.37 | 0.5 | 0.44 | RFC | 0.53 | 0.44 | 0.66 | 0.44 |
PCA-based feature subset | PCA-based feature subset and location-based features | ||||||||
ANN | 0.65 | 0.25 | 0.72 | 0.25 | ANN | 0.65 | 0.33 | 0.75 | 0.33 |
KNN | 0.53 | 0.42 | 0.5 | 0.55 | KNN | 0.6 | 0.5 | 0.33 | 0.77 |
RFC | 0.6 | 0.5 | 0.5 | 0.66 | RFC | 0.66 | 0.57 | 0.66 | 0.66 |