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Table 1 Comparsion of area under the ROC curve between FeaLect, lars, and Bolasso on six different datasets.

From: Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis

Dataset

Total samples

# of features

20 training samples

40 training samples

Reference

   

Bolasso

lars

FeaLect

Bolasso

lars

FeaLect

 

Lymphoma

258

505

0.62

0.81

0.84

0.67

0.87

0.88

current

Colon

62

2000

0.50

0.57

0.65

0.47

0.64

0.75

[23]

Arcene

100

10000

0.51

0.59

0.64

0.50

0.66

0.72

[26] (UCI)

SECOM

208

590

0.51

0.57

0.61

0.52

0.61

0.64

[25] (UCI)

Connectionist

208

60

0.63

0.76

0.78

0.67

0.78

0.79

[27] (UCI)

ISOLET

479

617

0.90

0.99

1.00

0.91

1.00

1.00

[28] (UCI)

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BMC Genomics

ISSN: 1471-2164

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