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Table 2 The comparison triplets between algorithm pairs from McTwo, CFS, PAM and RRF

From: McTwo: a two-step feature selection algorithm based on maximal information coefficient

CT(A, B)

McTwo

CFS

PAM

RRF

McTwo

0/17/0

1/2/14

12/1/4

15/0/2

CFS

14/2/1

0/17/0

16/1/0

17/0/0

PAM

4/1/12

0/1/16

0/17/0

13/0/4

RRF

2/0/15

0/0/17

4/0/13

0/17/0

  1. The comparison triplet CT(A, B) is defined to be the numbers of the 17 datasets where algorithm A performs better, equally well and worse, compared with algorithm B. The measurement mAcc is used for comparison. The column and row of CFS are highlighted in bold
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BMC Bioinformatics

ISSN: 1471-2105

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