Table 5

Average performance of the selected features by different algorithms.

DatasetHBBESPOBBAEPSOBGWO2BDABGAHBEPSOB
Zoo0.8730.7990.7910.8510.7880.8630.852
Wine EW0.9010.7260.8810.8960.9230.8860.908
IonosphereEW0.8310.8170.8290.8240.7990.8280.819
WaveformEW0.8290.7790.8090.8190.8070.8060.809
BreastEW0.9450.8420.9310.9080.9440.8920.94
Breastcancer0.9580.9570.9560.9570.9560.9570.952
Congress0.9440.8930.9430.9280.9310.9150.927
Exactly0.8350.6470.8840.6800.7980.6870.952
Exactly20.7600.7110.7380.7320.7390.7340.726
HeartEW0.8130.6480.7760.7020.810.7110.783
KrvskpEW0.9590.7720.9580.9170.9540.9060.956
M-of-n0.9800.7190.9750.8430.9490.8920.942
SonarEW0.7040.6780.6820.6820.6580.6940.694
SpectEW0.7640.7550.7570.7770.7520.7500.759
Tic-tac-toe0.7450.6470.7400.7130.7450.7340.733
Lymphography0.4220.4220.3540.3790.4170.4160.422
Dermatology0.9330.8020.9520.9080.9400.9500.957
Echocardiogram0.8880.8610.9060.8770.8930.8520.859
Hepatitis0.8250.7880.8130.7880.7880.7980.792
LungCancer0.4540.3430.3900.3450.4270.4090.484
 
Average0.8180.7300.8030.7760.8010.7840.813

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