## 3 Results
### Validation Results
#### 3.2.2 Evaluating the Practicability of Data Augmentation
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Dataset**} & \multicolumn{1}{c}{\multirow{2}{*}{**Accuracy**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Precision**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Recall**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**AUC**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**AUC**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**AUC**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**AUC**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} \\ \cline{3-3} \cline{8-11} \multicolumn{1}{c}{**Data Type**} & \multicolumn{1}{c}{**Data**} & \multicolumn{1}{c}{**Avancy**} & \multicolumn{1}{c}{**Precision**} & \multicolumn{1}{c}{\multirow{2}{*}{**Recall**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Accuracy**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Accuracy**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Accuracy**}} & \multicolumn{1}{c}{\multirow{2}{*}{**F1 Score**}} \\ \cline{3-3} \cline{8-11} \multicolumn{1}{c}{} & \multicolumn{1}{c}{**Avg**} & \multicolumn{1}{c}{**SD**} & \multicolumn{1}{c}{**Avg**} & \multicolumn{1}{c}{**SD**} & \multicolumn{1}{c}{**Avg**} & \multicolumn{1}{c}{**SD**} & \multicolumn{1}{c}{**Avg**} & \multicolumn{1}{c}{\multirow{2}{*}{**SD**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Accuracy**}} & \multicolumn{1}{c}{\multirow{2}{*}{**Accuracy**}} & \multicolumn{1}{c}{\multirow{2}{*}{**SD**}} \\ \hline \multirow{11}{*}{Non-segmented} & Real (original) & 0.783 & 0.099 & 0.797 & 0.094 & 0.738 & 0.099 & 0.779 & 0.104 & 0.813 & 0.123 & 0.791 & 0.104 \\ \cline{2-11}  & Real (pool) & 0.788 & 0.220 & 0.871 & 0.096 & 0.788 & 0.220 & 0.755 & 0.277 & 0.889 & 0.211 & 0.832 & 0.259 \\ \cline{2-11}  & Synthesis (CTCAN) & **0.809** & 0.097 & **0.827** & 0.087 & 0.089 & 0.097 & 0.087 & 0.103 & 0.816 & 0.110 & 0.896 & 0.065 \\ \cline{2-11}  & Synthesis (CNN) & 0.825 & 0.076 & 0.867 & 0.052 & 0.853 & 0.08 & 0.851 & 0.081 & 0.886 & 0.125 & 0.862 & 0.628 \\ \cline{2-11}  & Synthesis (STREAM) & 0.876 & 0.071 & 0.905 & 0.054 & 0.966 & 0.071 & 0.891 & 0.081 & 0.904 & 0.116 & 0.902 & 0.079 \\ \hline \multirow{11}{*}{Augmented} & Real (original)+ & 0.848 & 0.086 & 0.899 & 0.074 & 0.848 & 0.085 & 0.845 & 0.089 & 0.873 & 0.109 & 0.854 & 0.089 \\ \cline{1-1}  & Synthesis (CTCAN) & **0.84** & **0.086** & **0.899** & 0.074 & **0.848** & 0.085 & 0.845 & 0.089 & 0.873 & 0.109 & 0.854 & 0.089 \\ \cline{1-1}  & Synthesis (STREAM) & **0.86** & **0.086** & **0.87** & **0.080** & 0.830 & **0.080** & 0.827 & **0.085** & 0.852 & 0.081 & 0.899 & 0.840 \\ \cline{1-1}  & Synthesis (STREAM) & 0.886 & **0.089** & 0.992 & **0.077** & 0.866 & **0.089** & 0.870 & 0.085 & 0.828 & 0.168 & 0.872 & 0.084 \\ \cline{1-1}  & Explicit (sGAN) & & & & & & & & & & & & & \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & 0.895 & 0.133 & **0.914** & 0.086 & 0.295 & 0.130 & **0.893** & 0.110 & **0.914** & 0.115 & 0.902 & 0.100 \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & Synthesis & 0.855 & 0.072 & 0.866 & **0.087** & 0.855 & 0.082 & 0.853 & **0.071** & 0.889 & 0.100 & 0.863 & 0.070 \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & Synthesis & **0.898** & 0.077 & 0.908 & 0.088 & **0.998** & 0.077 & **0.903** & 0.087 & 0.905 & 0.113 & 0.892 & 0.082 \\ \cline{1-1} \cline{2-11}  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & Synthesis & & & & & & & & & & & & \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & Synthesis & 0.886 & 0.892 & **0.892** & **0.897** & 0.866 & **0.892** & 0.870 & 0.085 & 0.828 & 0.168 & 0.872 & 0.084 \\ \cline{1-1} \cline{2-11}  & Explicit (sGAN) & & & & & & & & & & & & & \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & Synthesis & 0.894 & 0.133 & **0.914** & 0.086 & 0.295 & 0.130 & **0.893** & 0.110 & **0.914** & 0.115 & 0.902 & 0.100 \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & Synthesis & 0.855 & 0.072 & 0.866 & **0.087** & 0.855 & 0.072 & 0.853 & **0.071** & 0.889 & 0.100 & 0.863 & **0.070** \\ \cline{1-1} \cline{2-11}  & Real (pool)+ & Synthesis & **0.898** & 0.077 & 0.908 & 0.088 & **0.998** & 0.0 Regarding the concordance of the feature importance scores, we performed two correlation analyses (i.e., Pearson and Spearman) for the feature importance scores in each datum.