## 4 Results and Discussion
### Analysis of Experimental Results
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Number of** & \multirow{2}{*}{**Methods**} & **Training** & **Testing** & \multirow{2}{*}{**Precision**} & \multirow{2}{*}{**Recall**} & \multirow{2}{*}{**F1**} \\
**Samples** & & **(Accuracy)** & & **(Accuracy)** & & \\ \hline \hline \multirow{9}{*}{Training (40,000)} & MLP & 96.90\% & 99.64\% & **99.65\%** & 97.54\% & 98.58\% \\  & NB & 60.49\% & 98.65\% & 99.55\% & 98.65\% & 99.10\% \\  & DT & 91.73\% & 98.77\% & 99.53\% & 98.78\% & 99.15\% \\  & RF & 99.97\% & 99.73\% & 99.50\% & **99.75\%** & **99.63\%** \\ Testing (40,000) & SVM & 94.44\% & 98.98\% & 99.51\% & 98.99\% & 99.25\% \\  & LR & 86.85\% & 98.63\% & 99.52\% & 98.63\% & 99.07\% \\  & GB & 99.21\% & 99.74\% & 99.50\% & **99.75\%** & 99.62\% \\  & GRU & 91.13\% & **99.75\%** & 99.52\% & 99.72\% & 99.62\% \\ \hline \multirow{9}{*}{Training (50,000)} & MLP & 97.33\% & 98.62\% & **99.67\%** & 99.31\% & 99.49\% \\  & NB & _77.73\%_ & 98.94\% & 99.64\% & 98.94\% & 99.29\% \\  & DT & 92.07\% & 99.03\% & 99.62\% & 99.03\% & 99.33\% \\ Training (50,000) & RF & **99.94\%** & **99.80\%** & 99.60\% & **99.80\%** & **99.70\%** \\ Testing (50,000) & SVM & 94.94\% & 98.19\% & 99.61\% & 98.20\% & 98.90\% \\  & LR & 88.29\% & 98.90\% & 99.61\% & 98.90\% & 99.25\% \\  & GB & 99.17\% & 99.78\% & 99.60\% & 99.79\% & 99.69\% \\  & GRU & 93.26\% & **99.80\%** & 99.60\% & **99.80\%** & **99.70\%** \\ \hline \hline \multirow{9}{*}{Training (50,000)} & MLP & 97.41\% & 99.06\% & 99.69\% & 99.68\% & 99.69\% \\  & NB & _77.71\%_ & 99.13\% & **99.70\%** & 99.14\% & 99.42\% \\  & DT & 92.56\% & 99.18\% & 99.67\% & 99.19\% & 99.43\% \\ Training (60,000) & RF & **99.99\%** & **99.83\%** & 99.67\% & **99.83\%** & **99.75\%** \\ Testing (60,000) & SVM & 94.28\% & 98.97\% & 99.67\% & 98.79\% & 99.32\% \\  & LR & 88.52\% & 99.09\% & 99.67\% & 99.09\% & 99.38\% \\  & GB & 99.21\% & **99.83\%** & 99.67\% & **99.83\%** & **99.75\%** \\  & GRU & 93.54\% & 99.82\% & 99.67\% & **99.83\%** & **99.75\%** \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Performance of various methods of detection between 40,000 and 60,000 samples. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Number of** & \multirow{2}{*}{**Methods**} & **Training** & \multirow{2}{*}{**Testing** & \multirow{2}{*}{**Precision**} & \multirow{2}{*}{**Recall**} & \multirow{2}{*}{**F1**} \\
**Samples** & & **(Accuracy)** & & & \\ \hline \hline \multirow{9}{*}{Training (70,000)} & MLP & 97.28\% & 99.85\% & 99.75\% & 99.10\% & 99.42\% \\  & NB & 59.99\% & 99.85\% & 99.71\% & **99.86\%** & **99.79\%** \\  & DT & 91.84\% & 99.29\% & 99.73\% & 99.30\% & 99.52\% \\ Training (70,000) & RF & **99.98\%** & **99.86\%** & 99.72\% & **99.86\%** & **99.79\%** \\ Testing (70,000) & SVM & 92.07\% & 97.71\% & **99.85\%** & 97.71\% & 98.77\% \\  & LR & 87.63\% & 99.21\% & 99.74\% & 99.21\% & 99.47\% \\  & GB & 99.16\% & 99.84\% & 99.73\% & 99.85\% & **99.79\%** \\  & GRU & 91.12\% & **99.86\%** & 99.73\% & 99.84\% & 99.78\% \\ \hline \hline \multirow{9}{*}{Training (80,000)} & MLP & 97.68\% & **99.88\%** & **99.78\%** & 99.29\% & 99.54\% \\  & NB & 63.57\% & 99.38\% & 99.77\% & 99.39\% & 99.58\% \\  & DT & 92.67\% & 99.37\% & 99.77\% & 99.37\% & 99.57\% \\ Training (80,000) & RF & **99.99\%** & 99.87\% & 99.75\% & **99.88\%** \\ Testing (80,000) & SVM & 95.80\% & 99.31\% & 99.78\% & 99.31\% & 99.55\% \\  & LR & 89.75\% & 99.38\% & **99.80\%** & 99.39\% & 99.59\% \\  & GB & 99.07\% & 99.88\% & 99.78\% & **99.89\%** & **99.84\%** \\  & GRU & 95.32\% & **99.89\%** & 99.78\% & 99.87\% & 99.83\% \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Performance of various methods of detection between 70,000 and 90,000 samples.