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Table 6 Feature subset selected for group 2

From: Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

Method

Feature subset selected

GA

 

 3-input

Inv,Node,p63

 4-input

Gen,Inv,Size,p53

 5-input

Age,PT,PN,Size,p53

 6-input

Age,PT,PN,Size,Tre,p53

 7-input

Age,Eth,Smo,PT,PN,Size,p53

CC

 

 3-input

Inv,PN,p63

 4-input

Age,Inv,PN,p63

 5-input

Age,Gen,Inv,PN,p63

 6-input

Age,Gen,Inv,PN,Size,p63

 7-input

Age,Gen,Inv,PN,Size,p53,p63

ReliefF

 

 3-input

Age,Eth,Dri

 4-input

Age,Eth,Dri,Tre

 5-input

Age,Eth,Dri,Tre,p53

 6-input

Age,Eth,Dri,Tre,p53,p63

 7-input

Age,Eth,Gen,Dri,Tre,p53,p63

CC-GA

 

 3-input

Inv,Node,p63

 4-input

Gen,Inv,Size,p53

 5-input

Age,Dri,PN,Size,p53

 6-input

Gen,Inv,Node,PN,Size,p53

 7-input

Gen,Dri,Inv,Node,PN,Size,p53

ReliefF-GA

 

 3-input

Dri,Inv,p63

 4-input

Dri,Inv,Tre,p63

 5-input

Age,Gen,Smo,Dri,p63

 6-input

Age,Gen,Smo,Dri,Inv,p63

 7-input

Age,Eth,Inv,Sta,Tre,p53,p63