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Table 5 10-fold cross validation performances of Approaches3

From: A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2

ML Model

Accuracy

Precision

Recall

F-measure

Roc Area

BN

79.733

0.824

0.797

0.801

0.877

LR

80.9466

0.810

0.809

0.810

0.873

KNN

75.2427

0.752

0.752

0.752

0.813

SVM

79.9757

0.802

0.800

0.801

0.792

VP

69.4175

0.707

0.694

0.649

0.678

RF

79.4903

0.804

0.795

0.797

0.871

Adaboost M1

76.5777

0.785

0.766

0.769

0.837

Bagging

80.3398

0.813

0.803

0.806

0.866