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Table 5 Overall performance of classification methods applied to glass data

From: Multiclass analysis and prediction with network structured covariates

 

Agresti

SVM

LDA

KNN

XGBOOST

LR-HomoGraph

LR-ClassGraph

LR-HomoGraph

LR-ClassGraph

        

+main

+main

PRE micro

0.706

0.790

0.649

0.653

0.677

0.808

0.841

0.776

0.783

REC micro

0.706

0.790

0.650

0.653

0.730

0.808

0.841

0.776

0.794

F micro

0.706

0.790

0.649

0.653

0.703

0.808

0.841

0.776

0.788

PRE macro

0.681

0.743

0.651

0.583

0.615

0.876

0.929

0.817

0.816

REC macro

0.680

0.755

0.703

0.563

0.644

0.800

0.814

0.774

0.816

F macro

0.680

0.749

0.676

0.573

0.629

0.836

0.868

0.795

0.816