## 3 Experiments and Results
### Prediction Results Based on Non-linear Supervised Learning Methods
\begin{table}
\begin{tabular}{l l l l l l l l l l} \hline \hline  & & & \multicolumn{4}{c}{**Endogenous**} & \multicolumn{4}{c}{**Endo. \& Exo.**} \\ \cline{3-10}  & & **MAE** & **MSE** & **RMSE** & **D-Index** & **MAE** & **MSE** & **RMSE** & **D-Index** \\ \hline \multirow{6}{*}{**All**} & **Linear Regression** & 4.93 & 48.89 & 6.99 & 0.11 & 4.49 & 42.50 & 6.51 & 0.11 \\  & **Tree** & 4.33 & 38.46 & 6.22 & 0.10 & 3.52 & 26.96 & 5.19 & 0.12 \\  & **Bagtree** & 3.85 & **29.55** & **5.44** & **0.12** & 3.17 & 19.77 & 4.45 & **0.14** \\  & **Boosting Tree** & 5.54 & 56.13 & 7.49 & 0.09 & 3.91 & 29.75 & 5.45 & 0.12 \\  & **SVR** & **3.84** & 32.30 & 5.75 & 0.10 & 3.61 & 28.75 & 5.42 & 0.11 \\  & **GPR** & 4.25 & 34.16 & 5.85 & 0.11 & **2.29** & **19.70** & **4.44** & **0.13** \\ \hline \multirow{6}{*}{**Cysmic**} & **Linear Regression** & 3.77 & 20.82 & 4.71 & 0.15 & 3.30 & 17.42 & 4.17 & 0.14 \\  & **Tree** & 4.23 & 29.61 & 5.53 & 0.12 & 2.64 & 11.62 & 3.42 & 0.18 \\ \cline{1-1}  & **Bagtree** & 3.00 & 14.53 & 3.85 & 0.17 & 2.33 & 9.63 & 3.12 & 0.19 \\ \cline{1-1}  & **Boosting Tree** & 3.98 & 24.33 & 4.95 & 0.14 & 3.34 & 17.40 & 4.21 & 0.16 \\  & **SVR** & **2.73** & **10.71** & **3.27** & **0.20** & 2.72 & 11.89 & 3.45 & 0.19 \\  & **GPR** & 3.04 & 15.21 & 3.92 & 0.17 & **1.87** & **7.82** & **2.81** & **0.19** \\ \hline \multirow{6}{*}{**Consmic**} & **Linear Regression** & 6.89 & **33.30** & **5.77** & 0.09 & 6.14 & **24.53** & **4.95** & 0.10 \\  & **Tree** & 6.08 & 54.11 & 7.42 & 0.10 & 6.08 & 54.11 & 7.42 & 0.10 \\ \cline{1-1}  & **Bagtree** & **5.63** & 46.78 & 6.97 & **0.10** & 5.00 & 34.18 & 6.13 & 0.12 \\ \cline{1-1}  & **Boosting Tree** & 5.74 & 56.94 & 7.56 & 0.09 & 5.03 & 41.38 & 6.98 & 0.09 \\ \cline{1-1}  & **SVR** & 6.24 & 58.34 & 7.87 & 0.09 & 6.23 & 54.13 & 7.83 & 0.09 \\ \cline{1-1}  & **GPR** & 6.03 & 55.56 & 7.58 & 0.10 & **4.95** & 34.97 & 6.10 & **0.12** \\ \hline \multirow{6}{*}{**Industrial**} & **Linear Regression** & **3.56** & **32.19** & **5.67** & **0.13** & 4.61 & **24.82** & **4.98** & **0.10** \\  & **Tree** & 4.59 & 50.61 & 7.28 & 0.08 & 5.54 & 75.86 & 8.92 & 0.07 \\ \cline{1-1}  & **Bagtree** & **4.62** & 43.68 & 6.65 & 0.09 & 3.96 & 41.07 & 6.47 & 0.09 \\ \cline{1-1}  & **Boosting Tree** & 4.62 & 43.68 & 6.65 & 0.09 & 6.83 & 114.69 & 10.91 & 0.05 \\ \cline{1-1}  & **SVR** & 3.89 & 52.34 & 7.24 & 0.07 & **3.86** & 52.20 & 7.23 & 0.07 \\ \cline{1-1}  & **GPR** & 4.07 & 62.25 & 7.89 & 0.06 & 4.78 & 70.06 & 8.42 & 0.06 \\ \hline \multirow{6}{*}{**Technology**} & **Linear Regression** & 6.94 & 73.72 & 8.59 & 0.09 & 6.83 & 71.96 & 8.48 & 0.09 \\  & **Tree** & 4.02 & 27.27 & 5.28 & 0.13 & 3.57 & 35.31 & 6.20 & 0.08 \\ \cline{1-1}  & **Bagtree** & 3.91 & **18.90** & **4.99** & **0.14** & 3.72 & 18.03 & 4.79 & 0.14 \\ \cline{1-1}  & **Boosting Tree** & 5.83 & 69.89 & 8.69 & 0.07 & 5.34 & 59.79 & 7.87 & 0.08 \\ \cline{1-1}  & **SVR** & **3.66** & 31.32 & 5.60 & 0.10 & 3.56 & 30.42 & 5.52 & 0.10 \\ \cline{1-1}  & **GPR** & **4.97** & 46.32 & 7.45 & 0.08 & **2.41** & **10.02** & **3.34** & **0.18** \\ \hline \multirow{6}{*}{**Utilities**} & **Linear Regression** & 1.23 & 1.53 & 1.24 & 0.34 & 1.22 & 1.38 & **1.17** & 0.32 \\ \cline{1-1}  & **Tree** & 1.25 & 2.10 & 1.52 & 0.35 & 1.24 & 2.30 & 1.57 & 0.34 \\ \cline{1-1}  & **Bagtree** & 1.28 & 2.60 & 1.68 & 0.31 & 1.36 & 2.69 & 1.70 & 0.32 \\ \cline{1-1}  & **Boosting Tree** & 1.52 & 3.19 & 1.89 & 0.30 & 1.28 & 2.35 & 1.61 & 0.33 \\ \cline{1-1}  & **SVR** & 1.21 & 2.17 & 1.50 & 0.35 & 1.21 & 2.17 & 1.50 & 0.35 \\ \cline{1-1}  & **GPR** & **0.97** & **1.44** & **1.21** & **0.40** & **0.98** & **1.36** & 1.22 & **0.40** \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Merit figures for the estimated EV models in different scenarios. By rows and grouped according to the companies, we include all the companies or group by sector. In columns, the merit figures for the evaluated scenarios incorporate only endogenous operational normalized variables, and both endogenous operational normalized and exogenous variables.