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Table 1 The characteristics of model

From: Employing a synergistic bioinformatics and machine learning framework to elucidate biomarkers associating asthma with pyrimidine metabolism genes

Label

LASSO

SVM-RFE

Random Forest

Sensitivity

0.375000

0.125000

0.66667

Specificity

0.918367

0.938776

0.65000

Pos pred value

0.428571

0.250000

0.53333

Neg pred value

0.900000

0.867925

0.76471

Precision

0.428571

0.250000

0.53333

Recall

0.375000

0.125000

0.66667

F1

0.400000

0.166667

0.59259

Prevalence

0.140351

0.140351

0.37500

Detection rate

0.052632

0.017544

0.25000

Detection prevalence

0.122807

0.070175

0.46875

Balanced accuracy

0.646684

0.531888

0.65833

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Respiratory Research

ISSN: 1465-993X

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