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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