## 5 Results
### Performance  
As shown in Tables 2-8, as a combination of more discriminative features were used, the performance accuracy improved. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Percentage Using**} & \multicolumn{3}{c}{**Classifiers**} \\ \cline{2-4}  & **ANN** & **SVM** & **KNN** \\ \hline
80\% Training and 20\% Testing & 96.49\% & 94.13\% & 98.61\% \\
70\% Training and 30\% Testing & 96.18\% & 94.57\% & 97.7\% \\
60\% Training and 40\% Testing & 95.77\% & 93.27\% & 96.54\% \\
50\% Training and 50\% Testing & 94.95\% & 93.18\% & 95.06\% \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Results for Max–Min Feature. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Percentage Using Band-Power Feature**} & \multicolumn{3}{c}{**Classifiers**} \\ \cline{2-4}  & **ANN** & **SVM** & **KNN** \\ \hline
80\% Training and 20\% Testing & 90.97\% & 89.89\% & 92.92\% \\
70\% Training and 30\% Testing & 88.41\% & 89.99\% & 91.60\% \\
60\% Training and 40\% Testing & 89.01\% & 88.27\% & 90.42\% \\
50\% Training and 50\% Testing & 86.21\% & 88.27\% & 89.23\% \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Results for Band-Power Feature. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Percentage Using Band-Power and**} & \multicolumn{3}{c}{**Classifiers**} \\ \cline{2-4}  & **ANN** & **SVM** & **KNN** \\ \hline
80\% Training and 20\% Testing & 96.66\% & 97.06\% & 96\% \\
70\% Training and 30\% Testing & 96.02\% & 96.20\% & 95.51\% \\
60\% Training and 40\% Testing & 95.07\% & 94.64\% & 93.70\% \\
50\% Training and 50\% Testing & 94.24\% & 93.57\% & 92.71\% \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Results for Band-Power and Crest-Range Features. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Percentage Using Amplitude-Range and**} & \multicolumn{3}{c}{**Classifiers**} \\ \cline{2-4}  & **ANN** & **SVM** & **KNN** \\ \hline
80\% Training and 20\% Testing & 97.25\% & 96.94\% & 98.27\% \\
70\% Training and 30\% Testing & 96.44\% & 95.40\% & 97.36\% \\
60\% Training and 40\% Testing & 94.75\% & 94.25\% & 96.23\% \\
50\% Training and 50\% Testing & 94.17\% & 93.82\% & 95.76\% \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Results for Amplitude-Range and Crest-Range Features. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Percentage Using Amplitude-Range and**} & \multicolumn{3}{c}{**Classifiers**} \\ \cline{2-4}  & **ANN** & **SVM** & **KNN** \\ \hline
80\% Training and 20\% Testing & 98.03\% & 95.34\% & 97.92\% \\
70\% Training and 30\% Testing & 96.05\% & 93.56\% & 97.93\% \\
60\% Training and 40\% Testing & 95.17\% & 94.73\% & 96.54\% \\ \hline
50\% Training and 50\% Testing & 94.48\% & 94.92\% & 95.68\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Results for Crest-Range Feature. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Percentage Using Three Combined**} & \multicolumn{3}{c}{**Classifiers**} \\ \cline{2-4}  & **ANN** & **SVM** & **KNN** \\ \hline
80\% Training and 20\% Testing & 98.43\% & 97.92\% & 98.10\% \\
70\% Training and 30\% Testing & 96.38\% & 97.20\% & 96.52\% \\
60\% Training and 40\% Testing & 96.20\% & 96.55\% & 95.68\% \\
50\% Training and 50\% Testing & 96.06\% & 94.32\% & 93.83\% \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Results for Three Combined Features. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Percentage Using Three Combined**} & \multicolumn{3}{c}{**Classifiers**} \\ \cline{2-4}  & **ANN** & **SVM** & **KNN** \\ \hline
80\% Training and 20\% Testing & 98.03\% & 95.34\% & 97.92\% \\ \hline
70\% Training and 30\% Testing & 96.05\% & 93.56\% & 97.93\% \\ \hline
60\% Training and 40\% Testing & 95.17\% & 94.73\% & 96.54\% \\ \hline
50\% Training and 50\% Testing & 94.48\% & 94.92\% & 95.68\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Results for Crest-Range Feature.