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Table 4 Feature subset selected for group 1

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

Gen,Smo,PN

 4-input

Dri,Inv,PN,Size

 5-input

Dri,Node,PT,PN,Size

 6-input

Age,Gen,Smo,Inv,PT,Size

 7-input

Age,Eth,Chew,Inv,Node,PN,Size

CC

 

 3-input

Age,Inv,PN

 4-input

Age,Gen,Inv,PN

 5-input

Age,Gen,Inv,PN,Size

 6-input

Age,Gen,Inv,PN,Sta,Size

 7-input

Age,Gen,Dri,Inv,PN,Sta,Size

ReliefF

 

 3-input

Eth,Dri,Sta

 4-input

Age,Eth,Dri,Sta

 5-input

Age,Eth,Dri,Sta,Tre

 6-input

Age,Eth,Gen,Dri,Sta,Tre

 7-input

Age,Eth,Gen,Dri,PT,Sta,Tre

CC-GA

 

 3-input

PT,PN,Sta

 4-input

Dri,Inv,PN,Size

 5-input

Age,Gen,Inv,PN,Size

 6-input

Gen,Dri,Node,PT,PN,Sta

 7-input

Gen,Dri,Chew,Inv,Node,PN,Size

ReliefF-GA

 

 3-input

Gen,Inv,Node

 4-input

Gen,Dri,Inv,Node

 5-input

Gen,Dri,Inv,Node,PT

 6-input

Eth,Gen,Dri,Inv,Node,PT

 7-input

Age,Eth,Gen,Smo,Dri,Node,Tre