## 4 Experimental Result
### Result and Comparison
#### 4.3.1 Train and Test with General datasets
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{2}{c}{**[PERSON] Model**} & \multicolumn{2}{c}{**[PERSON] Model**} & \multicolumn{2}{c}{**[PERSON] Model**} \\ \hline
**\#** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** \\ \hline
1 & 0.000 & 0.00\% & 0.189 & 12.20\% & 0.735 & 60.98\% \\ \hline
2 & 0.002 & 0.08\% & 0.623 & 61.79\% & 0.744 & 76.34\% \\ \hline
3 & 0.000 & 0.00\% & 0.539 & 50.47\% & 0.759 & 71.89\% \\ \hline
4 & 0.000 & 0.00\% & 0.448 & 41.78\% & 0.803 & 83.10\% \\ \hline
5 & 0.000 & 0.00\% & 0.878 & 81.84\% & 0.918 & 89.89\% \\ \hline
6 & 0.516 & 79.76\% & 0.882 & 88.58\% & 0.972 & 97.11\% \\ \hline
7 & 0.000 & 0.00\% & 0.783 & 72.00\% & 0.851 & 80.00\% \\ \hline
8 & 0.364 & 32.56\% & 0.939 & 98.60\% & 0.978 & 99.07\% \\ \hline
9 & 0.000 & 0.00\% & 0.389 & 38.89\% & 0.882 & 83.33\% \\ \hline
10 & 0.000 & 0.00\% & 0.610 & 62.86\% & 0.766 & 75.77\% \\ \hline
11 & 0.536 & 96.97\% & 0.725 & 73.21\% & 0.819 & 82.17\% \\ \hline
12 & 0.000 & 0.00\% & 0.563 & 57.30\% & 0.683 & 64.04\% \\ \hline
13 & 0.000 & 0.00\% & 0.945 & 96.76\% & 0.992 & 98.38\% \\ \hline
14 & 0.816 & 99.21\% & 0.951 & 94.64\% & 0.970 & 97.37\% \\ \hline
15 & 0.000 & 0.00\% & 0.551 & 50.43\% & 0.765 & 70.03\% \\ \hline
16 & 0.000 & 0.00\% & 0.851 & 75.00\% & 0.957 & 92.86\% \\ \hline OA(\%) & 42.688\% & \multicolumn{2}{c}{61.34\%} & \multicolumn{2}{c}{82.851\%} \\ \hline AA(\%) & 19.29\% & \multicolumn{2}{c}{66.02\%} & \multicolumn{2}{c}{82.64\%} \\ \hline Kappa & 0.297 & \multicolumn{2}{c}{0.7010} & \multicolumn{2}{c}{0.804} \\ \hline  & \multicolumn{2}{c}{**Chen Model**} & \multicolumn{2}{c}{**Hu Model**} & \multicolumn{2}{c}{**Proposed Model**} \\ \hline
**\#** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** & **F1-Score** & **Accuracy** \\ \hline
1 & 0.963 & 95.12\% & 0.000 & 0.00\% & 0.714 & 59.52\% \\ \hline
2 & 0.911 & 89.73\% & 0.482 & 36.50\% & 0.783 & 79.32\% \\ \hline
3 & 0.515 & 35.48\% & 0.506 & 45.78\% & 0.731 & 71.08\% \\ \hline
4 & 0.427 & 28.64\% & 0.417 & 40.38\% & 0.639 & 68.22\% \\ \hline
5 & 0.699 & 56.09\% & 0.140 & 8.28\% & 0.912 & 89.89\% \\ \hline
6 & 0.959 & 96.04\% & 0.819 & 97.11\% & 0.936 & 93.15\% \\ \hline
7 & 0.902 & 92.00\% & 0.312 & 20.00\% & 0.833 & 76.92\% \\ \hline
8 & 0.739 & 59.07\% & 0.933 & 98.37\% & 0.964 & 99.54\% \\ \hline
9 & 0.636 & 77.78\% & 0.000 & 0.00\% & 0.703 & 72.22\% \\ \hline
10 & 0.856 & 80.46\% & 0.523 & 46.06\% & 0.761 & 76.46\% \\ \hline
11 & 0.908 & 86.15\% & 0.685 & 86.97\% & 0.823 & 81.76\% \\ \hline
12 & 0.748 & 63.48\% & 0.450 & 35.96\% & 0.760 & 74.91\% \\ \hline
13 & 0.966 & 99.46\% & 0.862 & 92.97\% & 0.923 & 94.05\% \\ \hline
14 & 0.842 & 74.28\% & 0.840 & 96.49\% & 0.931 & 92.27\% \\ \hline
15 & 0.332 & 19.88\% & 0.332 & 22.77\% & 0.641 & 66.09\% \\ \hline
16 & 0.642 & 51.19\% & 0.976 & 95.24\% & 0.897 & 98.81\% \\ \hline OA(\%) & 73.420\% & \multicolumn{2}{c}{64.455\%} & \multicolumn{2}{c}{82.342\%} \\ \hline AA(\%) & 69.05\% & \multicolumn{2}{c}{51.43\%} & \multicolumn{2}{c}{80.89\%} \\ \hline Kappa & 0.704 & \multicolumn{2}{c}{0.585} & \multicolumn{2}{c}{0.799} \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Classification results of the Indian Pines dataset to which random spatial information is not applied.