# Feature Selection for High-Dimensional Datasets through a Novel Artificial Bee Colony Framework
## 6 Further Analysis
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Datasets**} & \multicolumn{2}{c}{**CSO**} & \multicolumn{2}{c}{**VSCCPSO**} & \multicolumn{2}{c}{**ALO\_GWO**} & \multicolumn{2}{c}{**ACABC**} \\ \cline{2-9}  & **BABCGWO** & **BABCWOA** & **BABCGWO** & **BABCWOA** & **BABCGWO** & **BABCWOA** & **BABCGWO** & **BABCWOA** \\ \hline LSVT & 0(+) & 0.04(\(-\)) & 0.68(\(=\)) & 0(\(-\)) & 0(+) & 0.08(\(=\)) & 0(+) & 0.10(\(=\)) \\ Yale & 0(+) & 0.57(\(=\)) & 0.52(\(=\)) & 0(\(-\)) & 0(+) & 0.20(\(=\)) & 0(+) & 0.97(\(=\)) \\ colon & 0(+) & 0(+) & 0(+) & 0.47(\(=\)) & 0(+) & 0.09(\(=\)) & 0(+) & 0(+) \\ SRBCT & 0(+) & 0(+) & 0(+) & 0.55(\(=\)) & 0.08(\(=\)) & 0.62(\(=\)) & 0(+) & 0(+) \\ DBWorld & 0(+) & 0(+) & 0(+) & 0.84(\(=\)) & 0.06(\(=\)) & 0.11(\(=\)) & 0(+) & 0(+) \\ Leukemia1 & 0(+) & 0(+) & 0(+) & 0.72(\(=\)) & 0(+) & 0.17(\(=\)) & 0(+) & 0(+) \\ DLBCL & 0(+) & 0(+) & 0(+) & 0.01(+) & 0(+) & 0.44(\(=\)) & 0(+) & 0.01(\(+\)) \\ ALLAML & 0(+) & 0(+) & 0(+) & 0.16(\(=\)) & 0(+) & 0.05(\(=\)) & 0(+) & 0(+) \\ Pixraw10P & 0(+) & 0(+) & 0.10(\(=\)) & 0.01(+) & 0.01(+) & 0(+) & 0(+) & 0(+) \\ Prostate & 0(+) & 0(+) & 0(+) & 0.38(\(=\)) & 0(+) & 0.73(\(=\)) & 0(+) & 0(+) \\ Leukemia2 & 0(+) & 0(+) & 0(+) & 0(+) & 0.02(+) & 0.82(\(=\)) & 0(+) & 0(+) \\ GLI\_85 & 0(+) & 0(+) & 0(+) & 0(+) & 0(+) & 0.10(\(=\)) & 0(+) & 0(+) \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Wilcoxon rank sum test on error rates of algorithms. \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}  & & **CSO** & **VSCCPSO** & **ALO\_GWO** & **ACABC** & **BABCWOA** & **BABCGWO** \\ \hline \multirow{2}{*}{LSVT} & Subsets & 151.5 & 37.5 & 102.5 & 150.9 & 83.7 & **30.0** \\  & Time & 55.5 & 83.4 & 89.6 & 172.1 & 71.7 & **41.9** \\ \hline \multirow{2}{*}{Yale} & Subsets & 504.1 & 150.1 & 240.6 & 506.3 & 245.6 & **102.4** \\  & Time & **147.2** & 482.0 & 291.2 & 464.6 & 245.6 & 156.0 \\ \hline \multirow{2}{*}{colon} & Subsets & 983.0 & 194.0 & 261.2 & 995.6 & 142.8 & **80.4** \\  & Time & 55.8 & 153.4 & 287.6 & 271.7 & 63.8 & **53.4** \\ \hline \multirow{2}{*}{SRBCT} & Subsets & 1127.1 & 205.8 & 408.3 & 1136.2 & **109.4** & 164.6 \\  & Time & 101.5 & 275.0 & 311.0 & 381.8 & 116.9 & **93.2** \\ \hline \multirow{2}{*}{DBWorld} & Subsets & 2316.2 & 601.4 & 446.5 & 2338.0 & 249.4 & **216.2** \\  & Time & 268.7 & 419.9 & 841.0 & 901.8 & 144.1 & **115.5** \\ \hline \multirow{2}{*}{Leukemia1} & Subsets & 2664.6 & 721.2 & 867.4 & 2645.6 & 648.2 & **277.4** \\  & Time & 417.7 & 549.0 & 774.6 & 1257.0 & 238.1 & **153.9** \\ \hline \multirow{2}{*}{DLBCL} & Subsets & 2737.6 & 625.6 & 1097.8 & 2733.1 & 545.3 & **458.4** \\  & Time & 436.2 & 631.8 & 1259.8 & 2409.6 & 330.4 & **182.1** \\ \hline \multirow{2}{*}{ALLAML} & Subsets & 3563.3 & 1248.9 & 846.5 & 3537.0 & 386.4 & **276.4** \\  & Time & 646.2 & 828.0 & 780.6 & 2954.4 & 252.0 & **180.3** \\ \hline \multirow{2}{*}{Pixraw10P} & Subsets & 5015.6 & 2366.7 & 882.1 & 5006.7 & 196.1 & **218.5** \\  & Time & 1647.9 & 3417.9 & 1428.1 & 4187.3 & 367.0 & **253.3** \\ \hline \multirow{2}{*}{Prostate} & Subsets & 5246.2 & 1558.7 & 1440.3 & 5194.9 & 1055.4 & **444.5** \\  & Time & 1418.7 & 2261.7 & 2435.9 & 8370.3 & 829.8 & **391.0** \\ \hline \multirow{2}{*}{Leukemia2} & Subsets & 5627.1 & 2091.2 & 1336.5 & 5608.7 & 876.4 & **582.6** \\  & Time & 852.6 & 1820.4 & 2342.9 & 2722.6 & 693.8 & **282.9** \\ \hline \multirow{2}{*}{GLL\_85} & Subsets & 11,157.5 & 5167.9 & 2971.2 & 11,682.5 & 1576.3 & **1204.4** \\  & Time & 3996.3 & 3872.9 & 3013.8 & 9230.0 & 2023.4 & **836.3** \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Comparison of the average numbers of selected features and average execution times of algorithms.