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. 2021 May 25;2(4):295. doi: 10.1007/s42979-021-00687-5

Table 4.

Standard deviation of the averages of classification accuracy, best fitness and selected features obtained from BDA and BDA-SA

Data set Accuracy Best Fitness Selected Features
BDA BDA-SA BDA BDA-SA BDA BDA-SA
Breastcancer 0.001278 0.000639 0.000000 0.000633 0.000000 0.000000
BreastEW 0.005140 0.004020 0.004360 0.004160 2.013110 2.665000
CongressEW 0.004183 0.003490 0.003603 0.003320 1.716790 1.039900
Exactly 0.063000 0.000000 0.063070 0.000000 0.910460 0.000000
Exactly2 0.035800 0.001573 0.000333 0.000498 1.234300 1.394500
HeartEW 0.014274 0.003040 0.008007 0.003183 0.998683 0.640720
IonosphereEW 0.012887 0.010824 0.009205 0.011020 2.680800 2.186000
KrvskpEW 0.041039 0.003435 0.005190 0.003648 2.518876 2.542270
Lymphography 0.011371 0.008173 0.011450 0.008092 1.142481 1.960129
M-of-n 0.016938 0.008141 0.003192 0.008298 0.410391 0.366348
PenglungEW 0.015869 0.028996 0.015586 0.016101 7.727429 8.676041
SonarEW 0.021943 0.018561 0.011350 0.018594 4.006245 3.567396
SpectEW 0.008352 0.008255 0.005123 0.008304 1.225819 2.433862
Tic-tac-toe 0.038510 0.003962 0.010051 0.001797 1.641565 1.880649
Vote 0.006840 0.003262 0.002680 0.003612 2.459675 1.234376
WaveformEW 0.028255 0.006023 0.000938 0.006278 2.991215 2.174009
WineEW 0.030413 0.003458 0.004565 0.002595 1.576138 1.814416
Zoo 0.016711 0.004384 0.013161 0.004260 1.565248 1.565200

Bold values represent the best results