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Table 1 Overview of the datasets

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

Name

Samples

Cases

Controls

Percentage

Features

wdbc

569

212

357

37.3

30

pc

376

225

151

59.8

9

ctg

1831

176

1655

9.6

22

  1. Percentage represents the percentage of positive samples (i.e., cases) in the dataset. Features refers to the number of independent variables / features in the dataset
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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