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Table 2 A comparison of the algorithms’ performance on the generated datasets

From: Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm

Dataset

Algorithm

Worst

Best

Average

STD

P-value

Low of CI

High of CI

TRA

Trader

−1.00

− 1.00

− 1.00

0.00

0

− 1.00

− 1.00

WCC

−1.00

− 1.00

− 1.00

0.00

0

− 1.00

− 1.00

CUK

−1.00

− 1.00

− 1.00

0.00

0

− 1.00

− 1.00

FOA

−1.00

− 1.00

− 1.00

0.00

0

− 1.00

− 1.00

DSOS

−1.00

− 1.00

− 1.00

0.00

0

− 1.00

− 1.00

ATE

Trader

−1.00

− 1.00

− 1.00

0.00

0

− 1.00

− 1.00

WCC

−1.00

− 1.00

− 1.00

0.00

0

− 1.00

− 1.00

CUK

−21.93

−14.03

− 18.40

1.98

2.00E-49

−18.96

− 17.83

FOA

−11.72

−2.01

−6.75

3.02

7.44E-21

−7.61

−5.89

DSOS

−11.44

−1.09

−6.20

3.37

1.61E-17

−7.16

−5.24

CAR

Trader

−1.00

−1.00

− 1.00

0.00

0

−1.00

− 1.00

WCC

−1.99

−1.02

− 1.55

0.29

1.40E-37

−1.63

− 1.47

CUK

−18.97

−17.00

− 17.90

0.54

1.49E-76

−18.05

− 17.74

FOA

−6.98

− 3.15

−5.18

1.16

3.31E-34

−5.51

−4.85

DSOS

− 9.99

−1.04

−4.90

2.63

9.86E-18

−5.65

−4.15

NIC

Trader

−2.00

−2.00

−2.00

0.00

0

− 2.00

−2.00

WCC

−2.00

−2.00

− 2.00

0.00

0

−2.00

− 2.00

CUK

−96.80

−61.69

−80.69

10.44

1.39E-45

−83.66

−77.73

FOA

−45.91

−17.13

−32.25

7.71

6.68E-33

−34.44

− 30.05

DSOS

−52.49

−2.20

−28.40

11.77

1.72E-18

−32.54

−24.26

FEL

Trader

−2.00

−2.00

− 2.00

0.00

0

−2.00

− 2.00

WCC

−4.99

−1.06

−2.92

1.32

1.17E-20

−3.30

−2.54

CUK

−93.19

−76.13

−83.90

5.23

5.30E-61

−85.39

− 82.42

FOA

−51.84

−27.04

−37.57

6.79

1.25E-38

−39.50

−35.64

DSOS

−65.78

−1.07

−31.28

8.32

1.01E-14

−37.04

−25.53

NIF

Trader

−1.00

−1.00

− 1.00

0.00

0

−1.00

− 1.00

WCC

−5.90

−1.02

−3.42

1.48

1.60E-21

−3.84

−3.00

CUK

− 122.51

−78.98

−99.80

11.72

1.32E-47

− 103.13

− 96.46

FOA

−67.15

−24.92

−47.31

12.75

1.63E-30

−50.93

−43.69

DSOS

−58.92

−2.48

−31.63

13.13

8.08E-19

−36.15

−27.11

NIS

Trader

−1.00

−1.00

− 1.00

0.58

0

−1.00

− 1.00

WCC

−4.68

−1.01

−2.81

1.06

5.62E-24

−3.11

−2.51

CUK

−134.77

−67.15

− 104.76

15.09

2.00E-38

− 110.19

−99.33

FOA

−79.83

−29.24

−54.61

15.54

1.96E-29

−59.02

− 50.19

DSOS

−91.12

−3.16

−51.46

16.01

1.02E-18

−58.86

−44.06

DOX

Trader

−109.49

−2.19

−52.34

35.19

3.66E-14

−62.35

−42.34

WCC

−136.29

−8.11

−78.53

40.19

1.59E-18

−89.95

−67.11

CUK

− 500.91

− 445.43

− 476.60

17.31

1.90E-72

− 481.52

− 471.68

FOA

− 374.17

− 203.50

− 302.06

41.25

1.58E-38

−317.64

−286.47

DSOS

− 365.21

−65.66

− 207.26

43.20

2.67E-20

− 234.47

− 180.04

PRA

Trader

−16.93

− 1.03

−8.74

4.90

5.34E-17

−10.13

−7.35

WCC

− 160.25

−5.99

−70.80

42.14

4.89E-16

−82.78

−58.82

CUK

−550.57

−407.07

−476.59

42.81

2.97E-53

−488.76

− 464.42

FOA

−374.62

−236.38

− 310.26

46.38

1.48E-42

− 323.44

− 297.08

DSOS

− 371.64

− 130.85

− 242.03

47.33

4.26E-27

− 264.08

− 219.98

  1. STD Standard deviation, CI Confidence interval, TRA Trandolapril, ATE Atenolol, CAR Carteolol, NIC Nicardipine, FEL Felodipine, NIF Nifedipine, NIS Nisoldipine, DOX Doxazosin, PAR Prazosin, WCC World competitive contest algorithm, CUK Cuckoo, FOA Forest optimization algorithm, DSOS Discrete symbiotic optimization search