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Table 8 Time to build the model, correctly classified instances, incorrectly classified instances, and accuracy of the ML models

From: Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study

Feature selection algorithm used

NONE

Boruta-F

mRMR-F

LASSO-F

Relief –F

Classifier

XGB

HGB

SVM

XGB

HGB

SVM

XGB

HGB

SVM

XGB

HGB

SVM

XGB

HGB

SVM

Time to build a model (s)

3081

3301

2849

2806

2930

2200

2624

2580

2147

2490

2028

1981

2924

1914

1280

Correctly classified instance

67

60

65

83

85

80

79

79

77

80

81

86

80

79

81

Incorrectly classified instance

30

37

32

14

12

17

18

18

20

17

16

11

17

18

16

Accuracy

69.47

62.58

68.25

85.68

88.25

82.54

82.12

81.46

80.24

83.07

84.12

89.10

83.82

82.47

83.75