Skip to main content

Table 2 The characteristics of model

From: Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach

Label

LASSO

SVM-RFE

Sensitivity

1.000000

0.916667

Specificity

0.692308

0.769231

Pos Pred Value

0.750000

0.785714

Neg Pred Value

1.000000

0.909091

Precision

0.750000

0.785714

Recall

1.000000

0.916667

F1

0.857143

0.846154

Prevalence

0.480000

0.480000

Detection Rate

0.480000

0.440000

Detection Prevalence

0.640000

0.560000

Balanced Accuracy

0.846154

0.842949

Back to article page

BMC Cardiovascular Disorders

ISSN: 1471-2261

Contact us