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Table 12 Validation test with random permutation of 3-input model and full input model for Group 2

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

Models

ANFIS

 

%

AUC

Random permutation model

  

Age, Inv, p63

64.76

0.63

Eth, Dri, p53

57.14

0.49

PT, PN, Sta

58.10

0.51

Gen, Node, Tre

70.95

0.59

Eth, Gen, Sub

39.05

0.32

Dri, p53, p63

80.48

0.70

Age, p53, p63

67.14

0.67

Gen, Dri, Inv

54.76

0.55

Site, Inv, Size

32.86

0.28

Age, Chew, Size

48.10

0.41

Full model

  

Full model with ANFIS

N.A.*

N.A.*

Full model with NN

42.90

0.47

Full model with SVM

54.76

0.46

Full model with LR

54.76

0.59

  1. *N.A. - Results not available due to over-fitting problem as the rule-base generated was too large.