## 3 Experimental Results
### Overall Classification Accuracy
In summary, the above analysis suggests the application of LORSAL on the DE features extracted from 'Total' bands for EEG-based emotion recognition. For simplicity, we will focus on comparing the performance of LORSAL with NB and SVM in the following subsections. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Feature** & **Classifier** & **Delta** & **Theta** & **Alpha** & **Beta** & **Gamma** & **Total** \\ \hline \multirow{8}{*}{PSD} & **NB** & 54.22/5.37 & 53.08/5.66 & 53.82/5.30 & 55.39/8.03 & 58.44/8.94 & 57.54/6.15 \\  & **SVM** & 50.83/15.93 & 48.07/15.6 & 49.95/15.65 & 58.05/15.31 & 58.82/15.08 & **68.60/8.07** \\  & **LR\_L1** & 47.74/6.07 & 47.96/5.66 & 47.46/6.49 & 45.34/9.97 & 44.11/11.67 & 43.55/14.04 \\  & **LR\_L2** & 47.66/6.31 & 47.94/5.78 & 47.42/6.41 & 45.47/9.96 & 44.03/11.64 & 43.58/14.23 \\  & **LORSAL** & **57.45/6.75** & **56.91/6.86** & **58.82/6.23** & **63.99/6.47** & **67.75/7.05** & 61.62/6.64 \\ \hline \multirow{8}{*}{**DE**} & **NB** & 54.13/3.76 & 53.43/3.68 & 54.08/3.76 & 56.97/4.81 & 58.75/5.33 & 58.46/5.00 \\  & **SVM** & 46.90/14.53 & 45.03/14.93 & 47.51/14.57 & 55.88/13.34 & 63.33/12.79 & 69.92/7.94 \\  & **LR\_L1** & 47.29/6.52 & 47.69/5.93 & 46.96/6.81 & 45.26/10.88 & 44.16/12.99 & 43.10/15.21 \\  & **LR\_L2** & 47.38/6.40 & 47.81/5.89 & 46.91/6.88 & 45.29/11.03 & 44.12/13.03 & 43.25/15.00 \\  & **LORSAL** & **61.97/4.64** & **58.18/3.94** & **59.35/3.97** & **66.57/6.67** & **72.73/7.62** & **77.03/6.20** \\ \hline \multirow{8}{*}{**DASM**} & **NB** & 54.67/6.10 & 54.78/6.33 & 54.31/7.68 & 58.11/5.75 & 60.46/5.28 & 60.34/4.50 \\  & **SVM** & 43.95/13.24 & 42.84/13.38 & 43.02/12.53 & 51.24/14.69 & 56.42/13.68 & 61.79/12.34 \\  & **LR\_L1** & 48.07/5.75 & 48.16/4.98 & 47.91/5.34 & 45.99/8.41 & 45.45/10.67 & 44.60/12.33 \\  & **LR\_L2** & 48.13/5.64 & 48.05/5.18 & 47.76/5.38 & 45.93/8.45 & 45.43/10.72 & 44.78/12.22 \\  & **LORSAL** & **58.13/3.75** & **55.14/3.62** & **55.18/3.37** & **59.70/4.94** & **64.54/5.87** & **71.20/4.96** \\ \hline \multirow{8}{*}{**RASM**} & **NB** & **51.31/7.57** & **51.92/7.12** & **51.01/6.47** & **54.25/6.52** & **55.26/6.84** & **53.57/4.25** \\  & **SVM** & 36.59/13.04 & 35.31/11.31 & 36.18/12.49 & 37.79/14.05 & 42.61/17.12 & 43.46/15.61 \\ \cline{1-1}  & **LR\_L1** & 49.45/6.07 & 49.07/4.97 & 50.18/4.32 & 49.14/5.75 & 47.83/7.35 & 47.94/7.39 \\ \cline{1-1}  & **LR\_L2** & 49.44/5.08 & 49.16/4.41 & 50.19/4.22 & 49.05/5.73 & 47.92/7.21 & 48.10/7.31 \\ \cline{1-1}  & **LORSAL** & 49.09/10.60 & 50.93/10.79 & 50.15/10.95 & 50.14/11.36 & 53.51/11.07 & 50.67/8.33 \\ \hline \multirow{8}{*}{**DCAU**} & **NB** & 55.09/7.10 & 53.86/6.91 & 53.98/7.42 & 56.98/7.23 & 60.14/5.99 & 59.98/4.50 \\  & **SVM** & 42.34/13.47 & 41.56/13.26 & 43.19/13.26 & 50.64/13.76 & 55.06/14.99 & 60.04/12.79 \\ \cline{1-1}  & **LR\_L1** & 48.19/5.42 & 48.36/4.90 & 48.01/5.18 & 46.34/8.24 & 45.29/10.05 & 44.47/11.45 \\ \cline{1-1}  & **LR\_L2** & 48.21/5.31 & 48.38/5.04 & 47.86/5.14 & 46.29/8.13 & 45.33/9.93 & 44.61/11.51 \\ \cline{1-1}  & **LORSAL** & **57.16/3.69** & **54.49/3.65** & **55.18/3.46** & **58.09/4.99** & **62.68/5.60** & **63.48/4.93** \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The mean precisions and standard deviations (%) of the classification of LA/HA emotions obtained by the compared classifiers for different features extracted from different frequency bands.