Table 3

Mean fitness function obtained from the different algorithms.

DatasetHBBESPOBBAEPSOBGWO2BDABGAHBEPSOB
Zoo0.0140.0940.0310.110.0670.1240.053
Wine EW0.0270.1280.0420.0920.0500.0650.038
IonosphereEW0.0890.1460.1370.1720.1300.1430.117
WaveformEW0.1790.1930.1750.1850.1830.1860.176
BreastEW0.0500.0700.0500.0800.0570.1060.052
Breastcancer0.0310.0350.0320.0420.0320.0360.039
Congress0.0310.0530.0330.0730.0420.0590.035
Exactly0.1550.3030.1040.3160.1780.2690.064
Exactly20.2240.2430.2340.2630.2400.2430.230
HeartEW0.1400.2400.1530.2680.1530.2500.157
KrvskpEW0.0410.1080.0430.0800.0410.0890.043
M-of-n0.0240.1670.0240.1540.0480.1080.047
SonarEW0.1790.2770.1920.2900.1940.2620.166
SpectEW0.1320.1670.1600.2050.1330.1680.117
Tic-tac-toe0.2140.2700.2220.2620.2230.2410.231
Lymphography0.3430.4870.5310.4870.4120.4660.438
Dermatology0.0150.0810.0160.0990.0170.0310.025
Echocardiogram0.0470.1120.0830.2000.0580.0720.080
Hepatitis0.1370.1750.1230.1920.1010.1520.122
LungCancer0.1290.4270.2200.4550.2550.3180.165
 
Average0.1100.1890.1230.2040.1310.1690.120

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