# Feature Selection for High-Dimensional Datasets through a Novel Artificial Bee Colony Framework
## 5 Experimental Studies
### Experimental Results and Analysis
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Datasets**} & \multirow{2}{*}{**Index**} & \multicolumn{6}{c}{**Algorithms**} \\ \cline{3-8}  & & **ABC** & **NSABC** & **BABCWOA** & **BABCWOAWS** & **BABCGWO** & **BABCGWOWS** \\ \hline \multirow{3}{*}{LSVT} & worst & \(20\) & **15** & 167 & 157 & 65 & 64 \\  & mean \(\pm\) std & \(8.9\pm 4.58\) & \(\textbf{6.8}\pm\textbf{3.88}\) & \(83.7\pm 50.61\) & \(104.5\pm 34.07\) & \(30.0\pm 16.83\) & \(33.4\pm 15.07\) \\  & best & 4 & 3 & 27 & 61 & 15 & 16 \\ \hline \multirow{3}{*}{Yale} & worst & 147 & 284 & 421 & 477 & 126 & **124** \\  & mean \(\pm\) std & \(\textbf{96.9}\pm\textbf{46.24}\) & \(122.6\pm 88.40\) & \(245.6\pm 97.77\) & \(347.9\pm 103.06\) & \(102.4\pm 14.55\) & \(97.9\pm 21.37\) \\  & best & **30** & 37 & 127 & 210 & 86 & 55 \\ \hline \multirow{3}{*}{colon} & worst & **30** & 40 & 266 & 532 & 112 & 169 \\  & mean \(\pm\) std & \(\textbf{18.5}\pm\textbf{6.69}\) & \(20.3\pm 8.53\) & \(142.8\pm 68.85\) & \(155.1\pm 138.18\) & \(80.4\pm 17.39\) & \(105.9\pm 28.05\) \\  & best & **12** & **12** & 46 & 61 & 58 & 76 \\ \hline \multirow{3}{*}{SRBCT} & worst & 584 & **104** & 497 & 829 & 233 & 353 \\  & mean \(\pm\) std & \(121.2\pm 166.69\) & \(\textbf{64.8}\pm\textbf{27.37}\) & \(109.4\pm 254.02\) & \(394.5\pm 191.01\) & \(164.6\pm 45.35\) & \(204.0\pm 8.609\) \\  & best & 25 & **21** & 112 & 151 & 107 & 116 \\ \hline \multirow{3}{*}{DBWorld} & worst & 44 & **40** & 484 & 423 & 297 & 263 \\  & mean \(\pm\) std & \(32.3\pm 5.25\) & \(\textbf{31.7}\pm\textbf{5.08}\) & \(249.4\pm 112.93\) & \(317.7\pm 99.99\) & \(216.2\pm 59.40\) & \(205.6\pm 52.63\) \\  & best & 23 & **22** & 92 & 154 & 109 & 119 \\ \hline \multirow{3}{*}{Leukemia1} & worst & **147** & 676 & 1694 & 1247 & 692 & 410 \\  & mean \(\pm\) std & \(\textbf{71.6}\pm\textbf{30.28}\) & \(149\pm 210.69\) & \(648.2\pm 504.44\) & \(741.6\pm 324.58\) & \(277.4\pm 156.79\) & \(300.5\pm 73.80\) \\  & best & 42 & **30** & 237 & 305 & 160 & 182 \\ \hline \multirow{3}{*}{DLBCL} & worst & **128** & 695 & 1029 & 1484 & 1427 & 1413 \\  & mean \(\pm\) std & \(\textbf{59.4}\pm\textbf{30.28}\) & \(126.1\pm 202.79\) & \(545.3\pm 314.94\) & \(811.6\pm 532.06\) & \(458.4\pm 358.90\) & \(684.7\pm 464.70\) \\  & best & 32 & **28** & 230 & 143 & 228 & 190 \\ \hline \multirow{3}{*}{ALLAML} & worst & 97 & **82** & 646 & 1168 & 370 & 444 \\  & mean \(\pm\) std & \(66.5\pm 19.17\) & \(\textbf{50.9}\pm\textbf{11.54}\) & \(386.4\pm 144.24\) & \(500.4\pm 286.34\) & \(276.4\pm 54.91\) & \(305.7\pm 87.46\) \\  & best & 45 & **42** & 168 & 217 & 198 & 156 \\ \hline \multirow{3}{*}{Pixraw10P} & worst & 115 & **88** & 294 & 370 & 405 & 349 \\  & mean \(\pm\) std & \(73.7\pm 17.81\) & \(\textbf{66.8}\pm\textbf{3.84}\) & \(196.1\pm 56.32\) & \(200.4\pm 74.22\) & \(218.5\pm 76.059\) & \(253.5\pm 63.50\) \\  & best & **52** & 58 & 137 & 121 & 157 & 159 \\ \hline \multirow{3}{*}{Prostate} & worst & 146 & **103** & 1454 & 1505 & 624 & 897 \\  & mean \(\pm\) std & \(91.3\pm 32.66\) & \(\textbf{76.9}\pm\textbf{15.57}\) & \(1055.4\pm 362.08\) & \(797.8\pm 314.48\) & \(444.5\pm 129.06\) & \(569.6\pm 227.40\) \\  & best & 56 & **55** & 442 & 445 & 199 & 250 \\ \hline \multirow{3}{*}{Leukemia2} & worst & 295 & **124** & 1300 & 1246 & 1036 & 844 \\  & mean \(\pm\) std & \(115.8\pm 66.71\) & \(\textbf{88.9}\pm\textbf{18.75}\) & \(876.4\pm 303.41\) & \(661.4\pm 273.88\) & \(582.6\pm 234.36\) & \(425.7\pm 153.55\) \\  & best & **68** & 70 & 318 & 329 & 357 & 311 \\ \hline \multirow{3}{*}{GLI\_85} & worst & 248 & **173** & 5716 & 6691 & 2920 & 1453 \\  & mean \(\pm\) std & \(161.8\pm 32.20\) & \(\textbf{150.1}\pm\textbf{12.05}\) & \(1576.3\pm\) & \(1553.6\pm\) & \(1204.4\pm 674.09\) & \(1099.2\pm 272.00\) \\ \cline{1-1}  & best & 138 & **131** & 437 & 520 & 697 & 681 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Comparisons of the number of selected features between different ABC-based methods.