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Table 2 Performances of ML algorithms fed by the datasets with and without CT-SS data

From: Prognostic significance of chest CT severity score in mortality prediction of COVID-19 patients, a machine learning study

ML algorithm

Sensitivity

Specificity

Accuracy

Precision

F-Measure

AUC

Without CT-SS

With CT-SS

Without CT-SS

With CT-SS

Without CT-SS

With CT-SS

Without CT-SS

With CT-SS

Without CT-SS

With CT-SS

Without CT-SS

With CT-SS

Decision tree

0.979

0.984

0.844

0.849

0.912

0.917

0.863

0.867

0.917

0.922

0.931

0.939

SVM

0.808

0.830

0.765

0.793

0.786

0.812

0.775

0.801

0.791

0.815

0.786

0.812

MLP

0.979

0.984

0.895

0.911

0.937

0.948

0.903

0.917

0.940

0.950

0.962

0.970

kNN

1.000

1.000

0.870

0.883

0.935

0.941

0.885

0.895

0.939

0.945

0.975

0.972