Table 8 Computation time comparison of classification methods vs. datasets.

From: Hybrid Synthetic Minority Over-sampling Technique (HSMOTE) and Ensemble Deep Dynamic Classifier Model (EDDCM) for big data analytics

Dataset

Methods

KNN

SVM

DWCNN

DWLSTM

HEDCM

EDDCM

WDBC

CWOA

9.2

8.18

7.11

6.54

5.68

5.10

GWO

8.4

7.72

6.33

5.38

4.94

4.04

PSO-GWO

7.5

7.05

5.72

5.02

4.14

3.67

HEFSM

6.9

6.09

5.11

4.74

3.42

3.01

KC1

CWOA

12.15

11.17

9.94

7.95

6.96

5.45

GWO

11.86

10.91

9.11

7.19

6.28

5.22

PSO-GWO

8.87

7.80

6.55

5.74

4.87

4.11

HEFSM

7.63

7.01

5.15

5.23

4.14

3.44

SCENE

CWOA

92

88.32

75.95

61.52

52.29

46.23

GWO

86

76.54

68.12

53.81

41.43

38.90

PSO-GWO

65

57.85

50.22

45.23

37.08

34.66

HEFSM

52

47.54

45.57

39.64

33.69

29.67

SEGMENT

CWOA

15.82

14.55

13.09

12.04

10.59

9.12

GWO

13.93

12.18

11.20

10.19

8.97

8.02

PSO-GWO

10.75

9.87

9.09

7.98

6.62

5.90

HEFSM

9.82

8.53

7.05

5.92

4.67

4.10