# 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**} & \multirow{2}{*}{**Index**} & \multicolumn{6}{c}{**Algorithms**} \\ \cline{3-8}  & & **CSO** & **VSCCPSO** & **ALO\_GWO** & **ACABC** & **BABCWOA** & **BABCGWO** \\ \hline \multirow{3}{*}{LSVT} & worst & 0.081 & 0.064 & 0.078 & 0.080 & 0.075 & **0.056** \\  & mean \(\pm\) std & 0.063 \(\pm\) 0.01 & 0.046 \(\pm\) 0.01 & 0.065 \(\pm\) 0.04 & 0.065 \(\pm\) 0.01 & 0.075 \(\pm\) 0.02 & **0.044 \(\pm\) 0.01** \\  & best & 0.055 & **0.024** & 0.054 & 0.056 & 0.047 & 0.031 \\ \hline \multirow{3}{*}{Yale} & worst & 0.320 & **0.230** & 0.309 & 0.315 & 0.326 & 0.238 \\  & mean \(\pm\) std & 0.295 \(\pm\) 0.02 & **0.216 \(\pm\) 0.01** & 0.273 \(\pm\) 0.02 & 0.288 \(\pm\) 0.02 & 0.288 \(\pm\) 0.03 & 0.220 \(\pm\) 0.01 \\  & best & 0.268 & **0.200** & 0.254 & 0.266 & 0.241 & 0.210 \\ \hline \multirow{3}{*}{colon} & worst & 0.176 & 0.081 & 0.088 & 0.157 & 0.112 & **0.064** \\  & mean \(\pm\) std & 0.113 \(\pm\) 0.03 & 0.065 \(\pm\) 0.01 & 0.069 \(\pm\) 0.01 & 0.119 \(\pm\) 0.02 & 0.066 \(\pm\) 0.02 & **0.037 \(\pm\) 0.02** \\  & best & 0.081 & 0.048 & 0.064 & 0.095 & 0.050 & **0.014** \\ \hline \multirow{3}{*}{SRBCT} & worst & 0.049 & 0.024 & 0.025 & 0.063 & 0.024 & **0.000** \\  & mean \(\pm\) std & 0.033 \(\pm\) 0.02 & 0.011 \(\pm\) 0.01 & 0.005 \(\pm\) 0.01 & 0.035 \(\pm\) 0.01 & 0.007 \(\pm\) 0.01 & **0.000** \\  & best & **0.000** & **0.000** & **0.000** & **0.022** & **0.000** & **0.000** \\ \hline \multirow{3}{*}{DBWorld} & worst & 0.255 & 0.091 & 0.062 & 0.198 & 0.093 & **0.033** \\  & mean \(\pm\) std & 0.126 \(\pm\) 0.05 & 0.048 \(\pm\) 0.01 & 0.034 \(\pm\) 0.01 & 0.139 \(\pm\) 0.03 & 0.048 \(\pm\) 0.02 & **0.025 \(\pm\) 0.01** \\  & best & 0.062 & 0.026 & 0.017 & 0.093 & 0.017 & **0.014** \\ \hline \multirow{3}{*}{Leukemia1} & worst & 0.084 & 0.056 & 0.057 & 0.07 & 0.043 & **0.014** \\  & mean \(\pm\) std & 0.062 \(\pm\) 0.01 & 0.031 \(\pm\) 0.01 & 0.034 \(\pm\) 0.02 & 0.058 \(\pm\) 0.01 & 0.023 \(\pm\) 0.02 & **0.001 \(\pm\) 0.01** \\  & best & 0.039 & 0.028 & **0.000** & 0.041 & **0.000** & **0.000** \\ \hline \multirow{3}{*}{DLBCL} & worst & 0.075 & 0.091 & 0.038 & 0.064 & 0.041 & **0.025** \\  & mean \(\pm\) std & 0.051 \(\pm\) 0.01 & 0.038 \(\pm\) 0.02 & 0.021 \(\pm\) 0.01 & 0.038 \(\pm\) 0.02 & 0.016 \(\pm\) 0.01 & **0.010 \(\pm\) 0.01** \\  & best & 0.038 & 0.026 & **0.000** & 0.013 & **0.000** & **0.000** \\ \hline \multirow{3}{*}{ALLAML} & worst & 0.113 & 0.056 & 0.082 & 0.121 & 0.070 & **0.014** \\  & mean \(\pm\) std & 0.102 \(\pm\) 0.01 & 0.031 \(\pm\) 0.01 & 0.044 \(\pm\) 0.03 & 0.103 \(\pm\) 0.01 & 0.022 \(\pm\) 0.03 & **0.001 \(\pm\) 0.01** \\  & best & 0.093 & 0.014 & **0.000** & 0.082 & **0.000** & **0.000** \\ \hline \multirow{3}{*}{Pixraw10P} & worst & 0.050 & **0.010** & 0.040 & 0.040 & **0.010** & **0.010** \\  & mean \(\pm\) std & 0.041 \(\pm\) 0.00 & 0.010 & 0.012 \(\pm\) 0.01 & 0.040 & **0.002 \(\pm\) 0** & 0.003 \(\pm\) 0.01 \\  & best & 0.040 & 0.010 & **0.000** & 0.040 & **0.000** & **0.000** \\ \hline \multirow{3}{*}{Prostate} & worst & 0.126 & 0.078 & 0.079 & 0.117 & 0.089 & **0.060** \\  & mean \(\pm\) std & 0.112 \(\pm\) 0.01 & 0.063 \(\pm\) 0.01 & 0.066 \(\pm\) 0.01 & 0.106 \(\pm\) 0.01 & 0.069 \(\pm\) 0.02 & **0.044 \(\pm\) 0.01** \\  & best & 0.089 & 0.049 & 0.049 & 0.087 & 0.040 & **0.029** \\ \hline \multirow{3}{*}{Leukemia2} & worst & 0.082 & 0.097 & 0.029 & 0.095 & 0.043 & **0.027** \\  & mean \(\pm\) std & 0.061 \(\pm\) 0.01 & 0.063 \(\pm\) 0.02 & 0.015 \(\pm\) 0.01 & 0.054 \(\pm\) 0.02 & 0.014 \(\pm\) 0.01 & **0.004 \(\pm\) 0.01** \\  & best & 0.041 & 0.028 & **0.000** & 0.027 & **0.000** & **0.000** \\ \hline \multirow{3}{*}{GLI\_85} & worst & 0.129 & 0.106 & 0.071 & 0.150 & 0.074 & **0.061** \\  & mean \(\pm\) std & 0.094 \(\pm\) 0.02 & 0.074 \(\pm\) 0.02 & 0.058 \(\pm\) 0.01 & 0.109 \(\pm\) 0.02 & 0.050 \(\pm\) 0.01 & **0.045 \(\pm\) 0.01** \\ \cline{1-1}  & best & 0.081 & 0.047 & 0.047 & 0.082 & **0.033** & 0.035 \\ \hline \hline \end{tabular}
\end{table}