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Table 5 Comparison of classification accuracy of proposed algorithm with the recent published state-of-the-art feature selection algorithms

From: A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection

Algorithms

Colon

Lung cancer II

Acute leukemia

High-grade Glioma

Prostate

Lekuemia-2

Breast

Ovarian

CSSMO

99.36

99.07

99.28

99.82

99.98

100

98.23

96.98

kSV-HHO [51]

98.11

97.88

99.15

–

–

98.80

–

 

rMRMR-MGWO [52]

95.86

97.91

–

–

–

100

–

 

BGWOA [53]

100

94.97

97.7

–

–

100

80.56

94.24

AD-GA [54]

–

–

90.9

–

93.2

97.7

–

98.88

BCROSAT [55]

992.25

93.57

–

97.2

–

98.04

93.26

 

GeneViT [56]

98.4

96.91

–

–

–

96.61

–

97.33

RFE-BEE [57]

99.58

99.43

–

100

–

–

–

 

HAGNN [58]

98.49

98.88

–

99.05

98.85

–

91.26

93.23

ICA + CSABC [59]

99.13

93.45

98.97

97.23

100

97.63

–

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