## 4 Analysis of Results
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Location Category** & **Optimization Algorithm** & **Learning Algorithm** & **Optimal Hyperparameter Values Searched** & **Accuracy (\%) (100-SMAPE)** \\ \hline \multirow{6}{*}{\begin{tabular}{c} Foreign \\ Institutions \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 80, 15, Tree & 3.98 \\ \cline{3-5}  & & XGB & 1000, 2, 0.3, \(\cdot\)gllinear\({}^{\prime}\) & 3.88 \\ \cline{3-5}  & & RF & 250, 4, Tree & 2.90 \\ \cline{3-5}  & & XGB & 1000, 5, 0.3, \(\cdot\)gllinear\({}^{\prime}\) & 3.88 \\ \cline{3-5}  & & RF & 150, 15, Tree & 4.03 \\ \cline{3-5}  & & XGB & 1000, 15, 0.3, \(\cdot\)gllinear\({}^{\prime}\) & 3.88 \\ \hline \multirow{6}{*}{\begin{tabular}{c} Retail \\ Business \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 50, 9, Tree & 51.67 \\ \cline{3-5}  & & XGB & 200, 2, 0.05, \(\cdot\)gllinear\({}^{\prime}\) & 49.20 \\ \cline{3-5}  & & RF & 380, 9, Tree & 52.57 \\ \cline{3-5}  & & XGB & 500, 12, 0.1, \(\cdot\)gllinear\({}^{\prime}\) & 30.78 \\ \cline{3-5}  & & Bayesian & RF & 450, 5, False & 55.78 \\ \cline{3-5}  & & XGB & 350, 3, 0.3, \(\cdot\)glmar\({}^{\prime}\) & 46.25 \\ \hline \multirow{6}{*}{\begin{tabular}{c} Service \\ Industry \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 280, 2, Tree & 59.59 \\ \cline{3-5}  & & XGB & 50, 2, 0.1, \(\cdot\)mar\({}^{\prime}\) & 61.55 \\ \cline{3-5}  & & RF & 900, 2, Tree & 99.18 \\ \cline{3-5}  & & XGB & 500, 13, \(\cdot\)mar\({}^{\prime}\) & 61.50 \\ \cline{3-5}  & & RF & 900, 2, Tree & 90.09 \\ \cline{3-5}  & & XGB & 1000, 4, 0.05, \(\cdot\)gllow\({}^{\prime}\) & 61.50 \\ \hline \multirow{6}{*}{\begin{tabular}{c} Restaurant \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 50, 11, Tree & 77.50 \\ \cline{3-5}  & & XGB & 50, 2, 0.25, \(\cdot\)gllinear\({}^{\prime}\) & 78.70 \\ \cline{3-5}  & & XGB & 200, 9, Tree & 77.45 \\ \cline{3-5}  & & XGB & 660, 4, 0.05, \(\cdot\)gllinear\({}^{\prime}\) & 78.94 \\ \cline{3-5}  & & RF & 280, 5, Tree & 77.95 \\ \cline{3-5}  & & XGB & 100, 10, 0.5, \(\cdot\)gllinear\({}^{\prime}\) & 78.76 \\ \hline \multirow{6}{*}{\begin{tabular}{c} Pub \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 50, 10, 2, Tree & 68.83 \\ \cline{3-5}  & & XGB & 50, 2, 0.25, \(\cdot\)gllinear\({}^{\prime}\) & 63.19 \\ \cline{3-5}  & & RF & 100, 2, Tree & 69.09 \\ \cline{3-5}  & & XGB & 900, 7, 0.2 \(\cdot\)gllinear\({}^{\prime}\) & 65.30 \\ \cline{3-5}  & & Bayesian & RF & 250, 14, Tree & 69.82 \\ \cline{3-5}  & & XGB & 300, 0.25, \(\cdot\)glar\({}^{\prime}\) & 63.86 \\ \hline \multirow{6}{*}{\begin{tabular}{c} Beverage \\ Store \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 50, 12, Tree & 66.02 \\ \cline{3-5}  & & XGB & 1000, 2, 0.3, \(\cdot\)gllinear\({}^{\prime}\) & 74.25 \\ \cline{3-5}  & & XGB & 800, 0.3, \(\cdot\)gllinear\({}^{\prime}\) & 74.25 \\ \cline{3-5}  & & RF & 180, 6, Tree & 64.76 \\ \cline{3-5}  & & XGB & 50, 2, 0.15, \(\cdot\)glar\({}^{\prime}\) & 68.32 \\ \cline{3-5}  & & Random & RF & 100, 13, Tree & 66.60 \\ \cline{3-5}  & & XGB & 50, 5, 0.1, \(\cdot\)gllinear\({}^{\prime}\) & 70.49 \\ \cline{3-5}  & & RF & 900, 2, Tree & 62.26 \\ \cline{3-5}  & & XGB & 733, 2.0, \(\cdot\)gllinear\({}^{\prime}\) & 69.64 \\ \hline \multirow{6}{*}{\begin{tabular}{c} Institutions \\ of Education \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 50, 6, True & 77.05 \\ \cline{3-5}  & & XGB & 1000, 0.3, \(\cdot\)gllinear\({}^{\prime}\) & 77.45 \\ \cline{3-5}  & & \multirow{2}{*}{Bayesian} & RF & 400, 3, True & 76.20 \\ \cline{3-5}  & & XGB & 900, 12, 0.2, \(\cdot\)gllinear\({}^{\prime}\) & 77.45 \\ \cline{3-5}  & & RF & 100, 15, Tree & 76.22 \\ \cline{3-5}  & & XGB & 944, 14, 0.85, \(\cdot\)gllinear\({}^{\prime}\) & 77.45 \\ \hline \multirow{6}{*}{\
\begin{tabular}{c} Hospital \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 100, 10, Tree & 10.62 \\ \cline{3-5}  & & XGB & 50, 5, 0.1, \(\cdot\)gllinear\({}^{\prime}\) & 16.97 \\ \cline{3-5}  & & Random & RF & 50, 15, Tree & 11.84 \\ \cline{3-5}  & & XGB & 50, 13, 0.4, \(\cdot\)glinear\({}^{\prime}\) & 16.97 \\ \cline{3-5}  & & RF & 100, 2, Tree & 14.13 \\ \cline{3-5}  & & XGB & 203, 15, 0.35, \(\cdot\)gllinear\({}^{\prime}\) & 16.11 \\ \hline \multirow{6}{*}{
\begin{tabular}{c} Museum, Gallery, \\ Tutorial site, \\ Tourist-spots \\ \end{tabular} } & \multirow{2}{*}{Grid} & RF & 180, 2, Tree & 42.38 \\ \cline{3-5}  & & XGB & 1000, 5, 0.3, \(\cdot\)gllinear\({}^{\prime}\) & 50.74 \\ \cline{3-5}  & & Random & RF & 1000, 2, Tree & 42.68 \\ \cline{3-5}  & & XGB & 500, 0.25, \(\cdot\)gllinear\({}^{\prime}\) & 50.72 \\ \cline{3-5}  & & RF & 700, 2, Tree & 42.55 \\ \cline{3-5}  & & XGB & 76, 10, 0.2, \(\cdot\)gllinear\({}^{\prime}\) & 48.83 \\ \hline \hline \end{tabular}
\end{table}