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Table 1 Simulation results for p = 55. The simulation results were averaged over 100 runs for p = 55 (22 informative and 33 noise genes).

From: Network-based support vector machine for classification of microarray samples

  

Test Error (SE)

# False Negative (SE)

Model Size (SE)

Scenario

Method

n = 50

n = 100

n = 50

n = 100

n = 50

n = 100

1

STD

0.122 (0.002)

0.096 (0.001)

0.0 (0.0)

0.0 (0.0)

55.0 (0.0)

55.0 (0.0)

 

L1

0.134 (0.003)

0.094 (0.002)

13.1 (0.3)

10.9 (0.4)

12.3 (0.6)

15.3 (0.7)

 

New (w = 1)

0.156 (0.003)

0.105 (0.002)

9.3 (0.4)

2.4 (0.3)

17.0 (0.6)

24.3 (0.6)

 

New (w = d MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaaOaaaeaacqWGKbazaSqabaaaaa@2D41@ )

0.111 (0.003)

0.068 (0.002)

1.0 (0.3)

0.1 (0.1)

24.7 (0.5)

25.1 (0.4)

 

New (w = d)

0.081 (0.002)

0.059 (0.002)

0.0 (0.0)

0.0 (0.0)

28.6 (0.8)

28.2 (0.8)

2

STD

0.121 (0.002)

0.099 (0.001)

0.0 (0.0)

0.0 (0.0)

55.0 (0.0)

55.0 (0.0)

 

L1

0.133 (0.003)

0.096 (0.001)

13.6 (0.3)

11.1 (0.4)

11.4 (0.5)

15.1 (0.7)

 

New (w = 1)

0.156 (0.003)

0.105 (0.002)

9.6 (0.4)

3.9 (0.3)

16.3 (0.7)

24.7 (0.6)

 

New (w = d MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaaOaaaeaacqWGKbazaSqabaaaaa@2D41@ )

0.121 (0.003)

0.075 (0.002)

3.0 (0.4)

0.3 (0.1)

22.3 (0.6)

25.2 (0.5)

 

New (w = d)

0.083 (0.002)

0.064 (0.002)

0.0 (0.0)

0.0 (0.0)

28.6 (0.8)

29.0 (0.8)

3

STD

0.162 (0.002)

0.138 (0.001)

0.0 (0.0)

0.0 (0.0)

55.0 (0.0)

55.0 (0.0)

 

L1

0.166 (0.003)

0.131 (0.001)

13.9 (0.2)

11.0 (0.3)

11.2 (0.5)

16.6 (0.7)

 

New (w = 1)

0.177 (0.003)

0.140 (0.002)

12.4 (0.4)

7.7 (0.4)

13.5 (0.6)

19.9 (0.8)

 

New (w = d MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaaOaaaeaacqWGKbazaSqabaaaaa@2D41@ )

0.164 (0.003)

0.127 (0.002)

4.4 (0.5)

1.2 (0.3)

21.5 (0.6)

26.3 (0.7)

 

New (w = d)

0.137 (0.003)

0.114 (0.001)

0.4 (0.2)

0.1 (0.1)

29.8 (0.9)

33.2 (0.9)

4

STD

0.189 (0.002)

0.157 (0.002)

0.0 (0.0)

0.0 (0.0)

55.0 (0.0)

55.0 (0.0)

 

L1

0.186 (0.002)

0.155 (0.002)

14.2 (0.3)

10.5 (0.3)

11.5 (0.6)

18.1 (0.8)

 

New (w = 1)

0.198 (0.003)

0.160 (0.002)

13.8 (0.3)

8.6 (0.4)

11.8 (0.5)

20.9 (0.9)

 

New (w = d MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaaOaaaeaacqWGKbazaSqabaaaaa@2D41@ )

0.190 (0.003)

0.147 (0.002)

7.2 (0.6)

1.8 (0.4)

18.8 (0.7)

30.1 (0.9)

 

New (w = d)

0.163 (0.002)

0.139 (0.002)

0.2 (0.2)

0.03 (0.03)

32.2 (1.0)

34.8 (1.0)