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Table 6 Comprehensive summary of the performance metrics of the model in the three sets

From: Coronary health index based on immunoglobulin light chains to assess coronary heart disease risk with machine learning: a diagnostic trial

Set

AUC

Cutoff

Acc

Sen

Spec

PPV

NPV

F1

Training

1.000

0.770

0.991

0.982

1.000

1.000

0.981

0.991

Validation

0.970

0.770

0.907

0.869

0.943

0.951

0.878

0.905

Test

0.991

0.669

0.857

0.75

1.0

1.0

0.75

0.857

  1. AUC: Area under the curve. Acc: Accuracy. Sen: Sensitivity. Spec: Specificity. PPV: Positive predictive value. NPV: Negative predictive value. The original data were divided into training, validation, and test sets at proportions of 65%, 20%, and 15%, respectively
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Journal of Translational Medicine

ISSN: 1479-5876

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