Table 4

Standard deviation of the fitness function obtained from the different algorithms.

DatasetHBBESPOBBAEPSOBGWO2BDABGAHBEPSOB
Zoo0.0200.0700.0330.0670.0750.0660.041
Wine EW0.0140.0800.0180.0570.0300.0260.016
IonosphereEW0.0160.0400.0160.0570.0180.0250.019
WaveformEW0.0030.0120.0080.0070.0060.0080.009
BreastEW0.0110.0170.0190.0180.0070.7550.011
Breastcancer0.0060.0090.0070.0080.0050.0070.007
Congress0.0060.0190.0080.0150.0160.0130.009
Exactly0.0640.0400.0820.0160.1190.0780.043
Exactly20.0090.0170.0090.0180.0150.0190.018
HeartEW0.0330.0640.0550.0690.0360.0620.038
KrvskpEW0.0050.0440.0070.0120.0070.0510.006
M-of-n0.0250.0360.0220.0190.0510.0320.034
SonarEW0.0250.0590.0290.0430.0330.0300.030
SpectEW0.0130.0280.0270.0240.0220.0290.027
Tic-tac-toe0.0120.0250.0200.0170.0120.0210.020
Lymphography0.0380.0470.0480.0440.0490.0620.038
Dermatology0.0070.0750.0080.0500.0140.0140.007
Echocardiogram0.0230.0550.0300.2280.0260.0240.036
Hepatitis0.0540.0430.0280.0520.0250.0380.038
LungCancer0.1130.1940.1800.0930.1510.2330.092
 
Average0.0250.0490.0330.0460.0360.0800.027

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