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\begin{table}
\centering
\caption{Problem 2: metrics of the different classes with smoothing}
\label{tbl:only_conv_hw_all}
\begin{tabular}{|l|l|c|c|c|c|}
\toprule
& & \textbf{specificity} & \textbf{sensitivity} & \textbf{F1 score} & \textbf{S score} \\
\textbf{normalize} & \textbf{modelclass} & & & & \\
\midrule
\multirow{10}{*}{\textbf{False}} & \textbf{CNN} & 0.675 & 0.898 & 0.883 & 0.771 \\
& \textbf{DeepConvLSTM} & 0.825 & 0.918 & 0.922 & 0.869 \\
& \textbf{DeepConvLSTM-A} & 0.782 & 0.922 & 0.916 & 0.846 \\
& \textbf{FC} & 0.708 & 0.893 & 0.886 & 0.789 \\
& \textbf{LSTM} & 0.800 & 0.935 & 0.926 & 0.862 \\
& \textbf{LSTM-A} & 0.805 & 0.896 & 0.906 & 0.848 \\
& \textbf{Majority Classifier} & 0.000 & \textbf{1.000} & 0.828 & 0.000 \\
& \textbf{RFC} & 0.604 & 0.935 & 0.891 & 0.734 \\
& \textbf{Random Classifier} & 0.423 & 0.402 & 0.490 & 0.412 \\
& \textbf{SVM} & 0.560 & 0.935 & 0.883 & 0.701 \\
\cline{1-6}
\multirow{10}{*}{\textbf{True }} & \textbf{CNN} & 0.798 & 0.697 & 0.782 & 0.744 \\
& \textbf{DeepConvLSTM} & 0.790 & 0.822 & 0.861 & 0.805 \\
& \textbf{DeepConvLSTM-A} & 0.834 & 0.606 & 0.736 & 0.718 \\
& \textbf{FC} & 0.766 & 0.890 & 0.896 & 0.824 \\
& \textbf{LSTM} & 0.711 & 0.921 & 0.902 & 0.803 \\
& \textbf{LSTM-A} & 0.796 & 0.797 & 0.847 & 0.797 \\
& \textbf{Majority Classifier} & 0.000 & \textbf{1.000} & 0.828 & 0.000 \\
& \textbf{RFC} & 0.595 & 0.853 & 0.844 & 0.701 \\
& \textbf{Random Classifier} & 0.423 & 0.402 & 0.490 & 0.412 \\
& \textbf{SVM} & 0.602 & 0.838 & 0.836 & 0.701 \\
\bottomrule
\end{tabular}
\end{table}
\begin{table}
\centering
\caption{Problem 2: metrics of the different classes with smoothing}
\label{tbl:washing_all}
\begin{tabular}{|l|l|c|c|c|c|}
\toprule
& & \textbf{specificity} & \textbf{sensitivity} & \textbf{F1 score} & \textbf{S score} \\
\textbf{normalize} & \textbf{modelclass} & & & & \\
\midrule
\multirow{10}{*}{\textbf{False}} & \textbf{CNN} & 0.677 & 0.841 & 0.841 & 0.750 \\
& \textbf{DeepConvLSTM} & 0.673 & 0.863 & 0.853 & 0.756 \\
& \textbf{DeepConvLSTM-A} & 0.685 & 0.848 & 0.847 & 0.758 \\
& \textbf{FC} & 0.587 & 0.845 & 0.826 & 0.693 \\
& \textbf{LSTM} & 0.507 & 0.906 & 0.844 & 0.651 \\
& \textbf{LSTM-A} & 0.587 & 0.893 & 0.852 & 0.708 \\
& \textbf{Majority Classifier} & \textbf{1.000} & 0.000 & 0.000 & 0.000 \\
& \textbf{RFC} & 0.899 & 0.463 & 0.618 & 0.618 \\
& \textbf{Random Classifier} & 0.402 & 0.492 & 0.563 & 0.460 \\
& \textbf{SVM} & 0.891 & 0.452 & 0.607 & 0.607 \\
\cline{1-6}
\multirow{10}{*}{\textbf{True }} & \textbf{CNN} & 0.493 & 0.743 & 0.747 & 0.593 \\
& \textbf{DeepConvLSTM} & 0.548 & 0.826 & 0.807 & 0.659 \\
& \textbf{DeepConvLSTM-A} & 0.591 & 0.815 & 0.809 & 0.685 \\
& \textbf{FC} & 0.420 & 0.866 & 0.811 & 0.584 \\
& \textbf{LSTM} & 0.283 & 0.880 & 0.801 & 0.438 \\
& \textbf{LSTM-A} & 0.453 & 0.853 & 0.808 & 0.605 \\
& \textbf{Majority Classifier} & \textbf{1.000} & 0.000 & 0.000 & 0.000 \\
& \textbf{RFC} & 0.911 & 0.142 & 0.246 & 0.248 \\
& \textbf{Random Classifier} & 0.402 & 0.492 & 0.563 & 0.460 \\
& \textbf{SVM} & 0.889 & 0.269 & 0.418 & 0.421 \\
\bottomrule
\end{tabular}
\end{table}
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