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Table 5 Results of the models on the imbalanced data

From: Machine learning with asymmetric abstention for biomedical decision-making

Name

Abstention

MCC

Rejected

Interval

wdbc

None

0.925

–

–

wdbc

Symmetric

0.951

< 5%

[0.37, 0.63]

wdbc

Asymmetric

0.98

< 5%

[0.263, 0.463]

pc

None

0.483

–

–

pc

Symmetric

0.556

< 10%

[0.44, 0.56]

pc

Asymmetric

0.54

< 10%

[0.427, 0.467]

ctg

None

0.963

–

–

ctg

Symmetric

0.975

< 1%

[0.39, 0.61]

ctg

Asymmetric

0.987

< 1%

[0.252, 0.432]

  1. Abstention represents the abstention approach, i.e., none, symmetric, or asymmetric abstention. Rejected refers to the percentage of rejected samples, and Interval represents the bounderies of the abstention interval
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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