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Table 6 Results of the madsim datasets analysis

From: RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers

Attributes

Metric

RGIFE-Min

RGIFE-Max

RGIFE-Union

CFS

ReliefF

SVM-RFE

Chi-Square

L1

5 000

Rel.

1.0

1.2

2.7

54.9

2.7

2.7

2.7

18.4

 

Irr.

0.0

0.0

0.0

0.3

0.0

0.0

0.0

0.0

10 000

Rel.

1.0

1.5

3.1

68.4

3.1

3.1

3.1

22.1

 

Irr.

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

20 000

Rel.

1.0

1.3

3.2

96.4

3.2

3.2

3.2

29.2

 

Irr.

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

40 000

Rel.

1.0

1.5

3.5

133.8

3.5

3.5

3.5

28.2

 

Irr.

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

  1. The values are averaged from the analysis of data containing 1%, 2% and 5% of up/down regulated genes(). For each set of data are reported the average number of relevant (up/down regulated) and irrelevant attributes obtained from a 10-fold cross-fold validation