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. 2013 May 31;14:170. doi: 10.1186/1471-2105-14-170

Table 10.

Best models with accuracy, AUC, classification method and selected features

  Accuracy AUC Classification method Selected features
Group 1
 
 
 
 
CC-3-input
74.76
0.70
ANFIS
Age,Inv,PN
GA-3-input
70.95
0.66
ANFIS
PT,PN,Sta
CC-GA-6-input
70.95
0.73
LR
Gen,Dri,Node,PT,PN,Sta
Group 2
 
 
 
 
ReliefF-GA-3-input
93.81
0.90
ANFIS
Dri,Inv,p63
ReliefF-GA-4-input
93.81
0.90
ANFIS
Dri,Inv,Tre,p63
ReliefF-GA-3-input
84.62
0.83
ANN
Dri,Inv,p63
ReliefF-GA-3-input
84.62
0.83
ANN
Dri,Inv,p63
GA-3-input
74.76
0.74
ANFIS
Inv,Node,p63
CC-GA-3-input
74.76
0.70
ANFIS
Inv,Node,p63
CC-GA-3-input
74.76
0.70
SVM
Inv,Node,p63
CC-GA-3-input
74.76
0.70
LR
Inv,Node,p63
ReliefF-GA-3-input
74.76
0.70
SVM
Dri,Inv,p63
ReliefF-GA-3-input
74.76
0.70
LR
Dri,Inv,p63
Relief-GA-4-input
74.76
0.70
LR
Dri,Inv,Tre,p63
Relief-GA-5-input
74.76
0.70
SVM
Age,Gen,Smo,Dri,p63
Relief-GA-6-input
74.43
0.66
SVM
Age,Gen,Smo,Dri,Inv,p63
Relief-GA-4-input
73.38
0.75
ANN
Dri,Inv,Tre,p63
Relief-GA-4-input
71.43
0.68
SVM
Dri,Inv,Tre,p63
Relief-GA-5-input
71.43
0.68
LR
Age,Gen,Smo,Dri,p63
CC-3-input
71.43
0.67
LR
Inv,PN,p63
CC-4-input
71.43
0.67
LR
Age,Inv,PN,p63
CC-GA-4-input 70.48 0.71 ANFIS Gen,Inv,Size,p53