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Table 6 Summary of results on test set of real datasets

From: Automatic disease prediction from human gut metagenomic data using boosting GraphSAGE

Dataset

Metrics

Classifiers

SVM

RF

DF

MLP

XGB

GCN

GraphSAGE

Boosting GCN

Bagging GCN

Bagging GraphSAGE

Boosting GraphSAGE

IBD

ACC

0.71

0.79

0.81

0.82

0.82

0.91

0.91

0.92

0.94

0.95

0.95

F1-score

0.68

0.57

0.57

0.62

0.57

0.91

0.93

0.93

0.94

0.94

0.95

AUC

0.70

0.80

0.80

0.81

0.83

0.88

0.89

0.89

0.91

0.92

0.93

AUPRC

0.71

0.66

0.73

0.70

0.64

0.93

0.95

0.84

0.92

0.93

0.95

CRC

ACC

0.50

0.64

0.65

0.58

0.68

0.76

0.86

0.84

0.88

0.87

0.91

F1-score

0.52

0.53

0.58

0.54

0.62

0.75

0.87

0.84

0.84

0.86

0.87

AUC

0.53

0.67

0.67

0.57

0.73

0.76

0.87

0.85

0.87

0.87

0.90

AUPRC

0.63

0.67

0.73

0.61

0.80

0.81

0.92

0.82

0.86

0.92

0.93

  1. The bold font indicates highest results