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Table 4 The comparison of different algorithms

From: GenEpi: gene-based epistasis discovery using machine learning

Algorithm

# Input SNP

Time Cost

Top 15

Top 30

Top 45

Top 60

GenEpi

4,916,249

9.95

0.76

0.72

0.71

0.68

BOOST

4,916,249

2157.6

0.31

0.24

0.30

0.37

ReliefF

33,868

0.11

0.52

0.48

0.45

0.46

FastEpistasis

12,809,667

836.8

0.62

0.61

0.60

0.59

  1. ‘Time Cost’ is the time spent on identifying the epistasis, which was measured by single CPU time in days. The values in column top 15, top 30, top 45 and top 60 are the 2-fold CV scores. The 2-fold CV scores are the F1 scores
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BMC Bioinformatics

ISSN: 1471-2105

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