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Table 8 Average performance measures under the third testing scenario, sample mean and std of accuracies Golub et al. [9] (leukaemia) data set.

From: Outcome prediction based on microarray analysis: a critical perspective on methods

 

Filter Method

Wrapper Methods

Hybrid Methods

Method

Fisher's Rattio

RFE-LNW-GD

RFE-SVM

RFE-LSSVM

RFE-RR

RFE-FLDA

RFE-LNW1

RFE-LNW2

RFE-FSVs-7DK

Number of genes selected

6

17

4

33

7

2

2

70

12

Per Subject Acc(P)-CV

0.95

0.94

0.88

0.73

0.42

0.89

0.93

0.97

0.93

Std(P)-CV

0.15

0.20

0.21

0.40

0.39

0.16

0.23

0.16

0.21

Per Subject Acc(P)-Test

0.87

0.86

0.82

0.78

0.70

0.81

0.91

0.88

0.85

Std(P)-Test

0.25

0.28

0.30

0.31

0.19

0.23

0.2

0.26

0.28

Per Run Acc(R)-CV

0.96

0.94

0.89

0.75

0.39

0.89

0.93

0.97

0.94

Sensitivity, Specificity

0.87, 0.99

0.89, 0.96

0.65, 0.97

0.47, 0.85

0.99, 0.19

0.74, 0.94

0.88, 0.95

0.89, 0.99

0.69, 0.98

Std(R)-CV

0.09

0.107

0.14

0.20

0.12

0.16

0.14

0.09

0.11

Per Run Test Acc(R)-Test

0.87

0.86

0.82

0.78

0.70

0.81

0.91

0.88

0.85

Sensitivity, Specificity

0.69, 1.00

0.67, 0.99

0.58, 0.98

0.62, 0.90

0.57, 0.79

0.60, 0.95

0.87, 0.94

0.72, 0.99

0.52, 0.95

Std(R)-Test

0.03

0.05

0.07

0.06

0.11

0.08

0.04

0.05

0.05

Per Run All Acc(R)-Overall

0.88

0.87

0.82

0.78

0.67

0.82

0.91

0.89

0.86

Std(R)-Overall

0.04

0.05

0.06

0.05

0.10

0.08

0.04

0.04

0.05