Skip to main content

Table 8 Best accuracy for n -input model based on feature selection method

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

Feature selection method

Group 1

Group 2

n-input model

n-input model

3

4

5

6

7

3

4

5

6

7

GA

70.95

67.62

64.76

68.10

64.29

74.76

67.62

70.95

60.95

54.29

CC

64.29

74.76

67.62

67.62

64.29

71.43

71.43

64.76

68.10

67.62

ReliefF

61.43

50.59

58.10

64.29

64.29

54.29

54.29

48.10

67.14

67.14

CC-GA

67.62

67.62

63.81

70.95

64.76

74.76

70.48

61.43

64.29

64.29

ReliefF-GA

67.14

64.29

67.62

64.29

64.76

93.81

93.81

74.76

74.43

68.10