## 4 Case Study
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline  & \multicolumn{6}{c}{**Dataset: D-1**} \\ \hline  & \multicolumn{6}{c}{\(\alpha\) = 0.01} & \multicolumn{6}{c}{\(\alpha\) = 0.05} & \multicolumn{6}{c}{\(\alpha\) = 0.1} \\ \cline{2-10}  & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** \\ \hline RNN-AE ([PERSON] et al., 2014 [17]) & 0.3250 & 0.0080 & 0.0156 & **0.9081** & 0.9040 & **0.9060** & 0.8395 & 0.9086 & 0.8727 \\ LSTM-AE ([PERSON] et al., 2020 [18]) & 0.9569 & 0.6616 & 0.7822 & 0.9041 & 0.9052 & 0.9046 & 0.8307 & 0.9092 & 0.8682 \\ Bi-LSTM-AE ([PERSON] et al., 2022 [16]) & 0.9350 & 0.5655 & 0.7048 & 0.8958 & 0.9052 & 0.9005 & 0.8337 & **0.9119** & 0.8710 \\
**LSTM-WMCs-AE** & 0.9593 & 0.7748 & 0.8572 & 0.9005 & **0.9058** & 0.9032 & 0.8388 & 0.9116 & 0.8737 \\
**Bi-LSTM-WMCs-AE** & **0.9692** & **0.8969** & **0.9316** & 0.9025 & 0.9037 & 0.9031 & **0.8408** & 0.9107 & **0.8744** \\ \hline \multicolumn{10}{c}{**Dataset: D-2**} \\ \hline  & \multicolumn{6}{c}{\(\alpha\) = 0.01} & \multicolumn{6}{c}{\(\alpha\) = 0.05} & \multicolumn{6}{c}{\(\alpha\) = 0.1} \\ \cline{2-10}  & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** \\ \hline RNN-AE ([PERSON] et al., 2014 [17]) & 0.9035 & 0.1221 & 0.2151 & **0.9422** & 0.9083 & 0.9249 & 0.8906 & 0.9130 & 0.9017 \\ LSTM-AE ([PERSON] et al., 2020 [18]) & 0.9586 & 0.5104 & 0.6662 & 0.9367 & 0.9092 & 0.9228 & 0.8921 & **0.9137** & 0.9028 \\ Bi-LSTM-AE ([PERSON] et al., 2022 [16]) & 0.9660 & **0.8295** & **0.8926** & 0.9197 & **0.9099** & 0.9148 & 0.8799 & **0.9137** & 0.8965 \\
**LSTM-WMCs-AE** & 0.9109 & 0.1332 & 0.2325 & 0.9358 & 0.9083 & 0.9218 & **0.8952** & 0.9130 & **0.9040** \\
**Bi-LSTM-WMCs-AE** & **0.9739** & 0.6799 & 0.8008 & **0.9422** & 0.9090 & **0.9253** & 0.8923 & 0.9130 & 0.9025 \\ \hline \multicolumn{10}{c}{**Dataset: D-4**} \\ \hline  & \multicolumn{6}{c}{\(\alpha\) = 0.01} & \multicolumn{6}{c}{\(\alpha\) = 0.05} & \multicolumn{6}{c}{\(\alpha\) = 0.1} \\ \cline{2-10}  & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** \\ \hline RNN-AE ([PERSON] et al., 2014 [17]) & **0.9770** & 0.6542 & 0.7837 & **0.9092** & 0.8048 & 0.8538 & 0.8450 & 0.8966 & 0.8700 \\ LSTM-AE ([PERSON] et al., 2020 [18]) & 0.9447 & 0.6897 & 0.7973 & 0.9013 & 0.9276 & 0.9143 & 0.8488 & 0.9763 & 0.9081 \\ Bi-LSTM-AE ([PERSON] et al., 2022 [16]) & 0.9437 & 0.6807 & 0.7909 & 0.9034 & 0.8605 & 0.8814 & **0.8553** & 0.9430 & 0.8971 \\
**LSTM-WMCs-AE** & 0.9481 & 0.7928 & 0.8635 & 0.8988 & 0.9680 & 0.9321 & 0.8460 & **0.9840** & 0.9098 \\
**Bi-LSTM-WMCs-AE** & 0.9547 & **0.8765** & **0.9140** & 0.9058 & **0.9744** & **0.9389** & 0.8518 & 0.9821 & **0.9123** \\ \hline \multicolumn{10}{c}{**Dataset: P-2**} \\ \hline  & \multicolumn{6}{c}{\(\alpha\) = 0.01} & \multicolumn{6}{c}{\(\alpha\) = 0.05} & \multicolumn{6}{c}{\(\alpha\) = 0.1} \\ \cline{2-10}  & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** & **Prec.** & **Rec.** & **F1** \\ \hline RNN-AE ([PERSON] et al., 2014 [17]) & **0.8234** & 0.3842 & 0.5239 & 0.6707 & 0.4021 & 0.5028 & 0.5048 & 0.4250 & 0.4615 \\ LSTM-AE ([PERSON] et al., 2020 [18]) & 0.7544 & 0.4511 & 0.5646 & 0.6326 & 0.6305 & 0.6315 & 0.5628 & 0.6615 & 0.6082 \\ Bi-LSTM-AE ([PERSON] et al., 2022 [16]) & 0.7900 & 0.3744 & 0.5080 & 0.6387 & 0.5090 & 0.5665 & 0.5380 & 0.5889 & 0.5623 \\
**LSTM-WMCs-AE** & 0.8190 & 0.5685 & 0.6712 & **0.7085** & 0.6762 & **0.6920** & **0.5936** & 0.6958 & **0.6406** \\
**Bi-LSTM-WMCs-AE** & 0.8044 & **0.6207** & **0.7007** & 0.6450 & **0.6892** & 0.6664 & 0.5557 & **0.7080** & 0.6227 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Comparison of model performance for different subset of the SMAP dataset. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline  & \multicolumn{6}{c}{\(\alpha\) = 0.01} & \multicolumn{6}{c}{\(\alpha\) = 0.05} & \multicolumn{6}{c}{\(\alpha\) = 0.10} \\ \cline{2-10}  & **Prec. ** & **Rec. ** & **F1** & **Prec. ** & **Rec. ** & **F1** & **Prec.