## 6 Conclusions
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Dataset** & **Accuracy Result** & **BHOA** & **BGWO** & **BPSO** & **BCSA** \\ \hline \multirow{4}{*}{Smart Grids Data} & mean & 0.799333 & 0.822833 & **0.833166** & 0.803583 \\  & standard deviation & 0.113340 & 0.087832 & 0.076582 & 0.100919 \\  & maximum & **0.912** & **0.912** & **0.912** & 0.899 \\  & minimum & 0.6935 & 0.7315 & 0.7575 & 0.7085 \\ \hline \multirow{4}{*}{Raisin Data} & mean & 0.857407 & 0.858333 & 0.853703 & **0.862962** \\  & standard deviation & 0.009728 & 0.010393 & 0.017450 & 0.008364 \\  & maximum & **0.872222** & **0.872222** & **0.872222** & **0.872222** \\  & minimum & 0.85 & 0.844444 & 0.822222 & 0.855555 \\ \hline \multirow{4}{*}{Turkish Music Emotion Data} & mean & 0.866666 & **0.879166** & 0.827083 & 0.841666 \\  & standard deviation & 0.060553 & 0.041583 & 0.040633 & 0.060553 \\  & maximum & 0.925 & **0.9375** & 0.875 & 0.925 \\  & minimum & 0.775 & 0.825 & 0.7625 & 0.7625 \\ \hline \multirow{4}{*}{Diabetes Risk Prediction Data} & mean & **0.958333** & 0.948717 & 0.934294 & 0.951922 \\  & standard deviation & 0.029584 & 0.039723 & 0.055874 & 0.041245 \\  & maximum & **1.0** & **1.0** & **1.0** & 0.903844 \\  & minimum & 0.932692 & 0.89423 & 0.884615 & 0.903846 \\ \hline \multirow{4}{*}{Rice Data} & mean & **0.919947** & 0.917978 & 0.919509 & 0.919509 \\  & standard deviation & 0.004621 & 0.004676 & 0.004037 & 0.005293 \\  & maximum & **0.923884** & **0.923884** & **0.923884** & **0.923884** \\  & minimum & 0.913385 & 0.910761 & 0.913385 & 0.912073 \\ \hline \multirow{4}{*}{Parkinson’s Disease Data} & mean & 0.852097 & **0.905076** & 0.985143 & 0.896246 \\  & standard deviation & 0.016040 & 0.038081 & 0.024926 & 0.038992 \\  & maximum & 0.860927 & **0.947019** & 0.920529 & 0.933774 \\  & minimum & 0.821192 & 0.834437 & 0.847682 & 0.821192 \\ \hline \multirow{4}{*}{Cervical Cancer Data} & mean & **0.889534** & **0.889534** & **0.889534** & 0.881782 \\  & standard deviation & 1.22 \(\times\) 10\({}^{-16}\) & 1.22 \(\times\) 10\({}^{-16}\) & 1.22 \(\times\) 10\({}^{-16}\) & 0.018988 \\  & maximum & **0.889534** & **0.889534** & **0.889534** & **0.889534** \\  & minimum & 0.889534 & 0.889534 & 0.889534 & 0.843023 \\ \hline \multirow{4}{*}{Chronic Kidney Disease Data} & mean & **1.0** & **1.0** & 0.997916 & **1.0** \\  & standard deviation & 0.0 & 0.0 & 0.005103 & 0.0 \\  & maximum & **1.0** & **1.0** & **1.0** & **1.0** \\  & minimum & 1.0 & 1.0 & 0.9875 & **1.0** \\ \hline \multirow{4}{*}{Breast Cancer Coimbra Data} & mean & 0.833332 & 0.826086 & 0.782608 & **0.862318** \\  & standard deviation & 0.096655 & 0.038888 & 0.128977 & 0.057789 \\ \cline{1-1}  & maximum & **0.913043** & 0.869565 & **0.913043** & **0.913043** \\ \cline{1-1}  & minimum & 0.73913 & 0.782608 & 0.608695 & 0.782608 \\ \hline \hline \end{tabular}
\end{table} 
Table 16: Statistical Accuracy Results Analysis. (3) comparison of the BHOA to more bio-inspired algorithms, and (4) adaption of the HOA to a multi-objective form that can be applied for feature selection in classification problems. This research received no external funding. **Institutional Review Board Statement**: Not applicable. **Informed Consent Statement**: Not applicable. **Data Availability Statement**: The datasets which support this article are from the UCI machine learning repository, [[https://archive.ics.uci.edu/ml/index.php](https://archive.ics.uci.edu/ml/index.php)]([https://archive.ics.uci.edu/ml/index.php](https://archive.ics.uci.edu/ml/index.php)) (accessed on 19 March 2022). **Conflicts of Interest**: The author declares no conflict of interest.