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Table 3 The evaluation result of multiple machine learning models using clustering labels and HFD-45 median to predict COVID-19 severity

From: Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis

Model

Clustering labels

HFD-45 median

 

AUC

Accuracy

F1-score

c-index

AUC

Accuracy

F1-score

SVM

0.96

0.96

0.96

0.75

0.54

0.54

0.58

RF

1.0

1.0

1.0

0.76

0.73

0.73

0.74

LR

0.82

0.82

0.79

0.68

0.85

0.84

0.84

KNN

0.98

0.98

0.99

0.72

0.66

0.66

0.64

RUS

0.99

0.99

0.99

0.75

0.80

0.79

0.81

MLP

0.65

0.65

0.78

0.64

0.65

0.65

0.78

  1. Bold indicates best performing model