## 3 Results
### Classification Results of Driving Datasets with Accuracy below 80%  
Among the 10 driving datasets, the classification accuracy obtained by four of them (Drive07\(\backslash\)10\(\backslash\)12\(\backslash\)15) was less than 80% for the optimal _bmNN_ feature. Table 4 summarizes the total accuracy of each driving dataset as well as the classification accuracy for the 0 and 1 + 2 categories.  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Classes**} & \multirow{2}{*}{**Features**} & \multicolumn{8}{c}{**Accuracy (\%)**} \\ \cline{3-10}  & & **Mean** & **Drive02** & **Drive04** & **Drive06** & **Drive08** & **Drive11** & **Drive13** & **Total** \\ \hline \multirow{3}{*}{\(0\backslash\)1 + 2} & _avNN_ & 76.1 & 70.1 & 68.4 & 91.0 & 26.8 & 100 & 100 & 70.9 \\ \cline{2-10}  & _bmNN/bm_ = 12 & 87.0 & 92.9 & 98.9 & 92.9 & 100 & 82.1 & 55.2 & 77.1 \\ \cline{2-10}  & optimal _bmNN_ & 93.7 & 92.9 & 100 & 94.8 & 100 & 83.8 & 90.6 & 77.1 \\ \hline \multirow{3}{*}{\(0\backslash\)1\(\backslash\)2} & _avNN_ & 59.1 & 50.6 & 63.2 & 61.0 & 13.8 & 79.5 & 86.2 & 57.9 \\ \cline{2-10}  & _bmNN/bm_ = 12 & 69.1 & 77.3 & 94.7 & 68.6 & 96.4 & 59.0 & 18.7 & 50.4 \\ \cline{2-10}  & optimal _bmNN_ & 81.7 & 77.3 & 95.8 & 68.6 & 96.4 & 73.5 & 78.8 & 52.9 \\ \hline \hline \end{tabular}
\end{table}
Table 2: Classification results of Drive02\(\backslash\)04\(\backslash\)06\(\backslash\)08\(\backslash\)11\(\backslash\)13 as two or three categories.  
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Rec. Name**} & \multirow{2}{*}{**Features**} & \multicolumn{8}{c}{**Average Feature Values**} \\ \cline{3-10}  & & & **0** & & & **1** & & & **2** \\ \cline{3-10}  & & **Mean** & **Rest1** & **Rest2** & **Mean** & **Hwy1** & **Hwy2** & **Mean** & **City1** & **City2** \\ \hline \multirow{3}{*}{Drive02} & _avNN_ & 0.904 & 0.915 & 0.893 & 0.878 & 0.888 & 0.867 & 0.850 & 0.843 & 0.856 \\  & _bmNN_/12 & 0.147 & 0.135 & 0.158 & 0.117 & 0.107 & 0.127 & 0.089 & 0.076 & 0.101 \\ \hline \multirow{3}{*}{Drive04} & _avNN_ & 0.918 & 0.870 & 0.967 & 0.803 & 0.788 & 0.818 & 0.806 & 0.772 & 0.839 \\  & _bmNN_/12 & 0.117 & 0.096 & 0.138 & 0.028 & 0.022 & 0.035 & 0.063 & 0.063 & 0.063 \\  & _bmNN_/4 & 0.031 & 0.040 & 0.021 & 0.127 & 0.145 & 0.110 & 0.074 & 0.079 & 0.068 \\ \hline \multirow{3}{*}{Drive06} & _avNN_ & 0.749 & 0.734 & 0.764 & 0.701 & 0.689 & 0.712 & 0.617 & 0.585 & 0.649 \\  & _bmNN_/12 & 0.105 & 0.097 & 0.113 & 0.065 & 0.074 & 0.055 & 0.071 & 0.074 & 0.067 \\  & _bmNN_/9 & 0.096 & 0.086 & 0.106 & 0.062 & 0.062 & 0.062 & 0.057 & 0.050 & 0.063 \\ \hline \multirow{3}{*}{Drive08} & _avNN_ & 0.987 & 0.951 & 1.023 & 0.969 & 0.953 & 0.985 & 0.914 & 0.880 & 0.947 \\  & _bmNN_/12 & 0.169 & 0.158 & 0.181 & 0.127 & 0.131 & 0.124 & 0.094 & 0.102 & 0.086 \\ \hline \multirow{3}{*}{Drive11} & _avNN_ & 1.011 & 0.995 & 1.027 & 0.918 & 0.911 & 0.924 & 0.899 & 0.896 & 0.901 \\  & _bmNN_/12 & 0.122 & 0.127 & 0.117 & 0.052 & 0.062 & 0.042 & 0.067 & 0.075 & 0.059 \\ \hline \multirow{3}{*}{Drive13} & _avNN_ & 0.720 & 0.723 & 0.717 & 0.615 & 0.603 & 0.626 & 0.584 & 0.577 & 0.591 \\  & _bmNN_/12 & 0.084 & 0.083 & 0.084 & 0.078 & 0.077 & 0.062 & 0.077 & 0.047 \\ \cline{1-1}  & _bmNN_/15 & 0.176 & 0.179 & 0.173 & 0.094 & 0.078 & 0.110 & 0.057 & 0.055 & 0.058 \\ \hline \end{tabular}
\end{table}
Table 3: Average values of _avNN_ and _bmNN_ for different driving sections of Drive02\(\backslash\)04\(\backslash\)06\(\backslash\)08\(\backslash\)11\(\backslash\)13.