From: Multiclass analysis and prediction with network structured covariates
Scenario | Criteria | Agresti | SVM | LDA | KNN | XGBOOST | LR-HomoGraph | LR-ClassGraph |
---|---|---|---|---|---|---|---|---|
1 | PRE micro | 0.635 | 0.830 | 0.640 | 0.678 | 0.690 | 0.841 | 0.890 |
 | REC micro | 0.635 | 0.830 | 0.640 | 0.700 | 0.690 | 0.841 | 0.890 |
 | F micro | 0.635 | 0.830 | 0.640 | 0.689 | 0.690 | 0.841 | 0.890 |
 | PRE macro | 0.637 | 0.843 | 0.643 | 0.686 | 0.688 | 0.847 | 0.898 |
 | REC macro | 0.635 | 0.830 | 0.640 | 0.704 | 0.690 | 0.842 | 0.891 |
 | F macro | 0.636 | 0.836 | 0.641 | 0.695 | 0.689 | 0.844 | 0.894 |
2 | PRE micro | 0.703 | 0.855 | 0.739 | 0.672 | 0.790 | 0.851 | 0.861 |
 | REC micro | 0.717 | 0.855 | 0.734 | 0.672 | 0.790 | 0.851 | 0.866 |
 | F micro | 0.710 | 0.855 | 0.736 | 0.672 | 0.790 | 0.851 | 0.863 |
 | PRE macro | 0.706 | 0.805 | 0.740 | 0.704 | 0.792 | 0.859 | 0.860 |
 | REC macro | 0.717 | 0.855 | 0.733 | 0.672 | 0.790 | 0.862 | 0.866 |
 | F macro | 0.711 | 0.830 | 0.736 | 0.687 | 0.791 | 0.860 | 0.863 |