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Table 2 Simulation study with and without network structures for covariates, respectively, indicated by Scenarios 1 and 2: I=4

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