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Table 1 The characteristics of model

From: An integrated bioinformatics and machine learning approach to identifying biomarkers connecting parkinson’s disease with purine metabolism-related genes

Label

LASSO

SVM-RFE

Sensitivity

0.416667

0.500000

Specificity

0.800000

1.000000

Pos Pred Value

0.555556

1.000000

Neg Pred Value

0.695652

0.769231

Precision

0.555556

1.000000

Recall

0.416667

0.500000

F1

0.476190

0.666667

Prevalence

0.375000

0.375000

Detection Rate

0.156250

0.187500

Detection Prevalence

0.281250

0.187500

Balanced Accuracy

0.608333

0.750000

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BMC Neurology

ISSN: 1471-2377

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