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  1. 

  2. % ### LR
    3. 

  3. 

  4. \begin{table*}[ht]\scriptsize\caption{LR (1)}\label{tab:results:LR:A}\centering\tabularnewline
    5. 

  5. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    6. 

  6. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
    7. 

  7. \tabularnewline
    8. 

  8. \hline
    9. 

  9. abalone 17 vs 7 8 9 10 &  0.275  /  0.244  &  0.336  /  0.309  &  0.336  /  0.317  &  0.182  /  0.152  &  0.186  /  0.151 
    10. 

  10. \tabularnewline
    11. 

  11. abalone9 18 &  0.458  /  0.409  &  0.566  /  0.534  &  0.514  /  0.481  &  0.341  /  0.296  &  0.517  /  0.479 
    12. 

  12. \tabularnewline
    13. 

  13. car good &  0.106  /  0.035  &  0.100  /  0.028  &  \textbf{0.112}  /  \textbf{0.043}  &  0.109  /  0.038  &  0.108  /  0.037 
    14. 

  14. \tabularnewline
    15. 

  15. car vgood &  0.362  /  0.320  &  0.394  /  0.356  &  0.336  /  0.304  &  0.325  /  0.279  &  0.379  /  0.342 
    16. 

  16. \tabularnewline
    17. 

  17. flare F &  0.263  /  0.210  &  0.278  /  0.228  &  0.322  /  0.287  &  0.321  /  0.277  &  \textbf{0.342}  /  \textbf{0.301} 
    18. 

  18. \tabularnewline
    19. 

  19. hypothyroid &  0.358  /  0.305  &  0.400  /  0.353  &  0.297  /  0.275  &  0.294  /  0.234  &  0.223  /  0.175 
    20. 

  20. \tabularnewline
    21. 

  21. kddcup guess passwd vs satan &  0.997  /  0.996  &  0.996  /  0.996  &  0.997  /  0.996  &  \textbf{0.998}  /  \textbf{0.998}  &  0.997  /  0.996 
    22. 

  22. \tabularnewline
    23. 

  23. kr vs k three vs eleven &  0.942  /  0.941  &  \textbf{0.965}  /  0.964  &  0.960  /  0.959  &  0.576  /  0.559  &  0.699  /  0.687 
    24. 

  24. \tabularnewline
    25. 

  25. kr vs k zero one vs draw &  0.650  /  0.632  &  0.744  /  0.732  &  0.796  /  0.788  &  0.398  /  0.361  &  0.735  /  0.723 
    26. 

  26. \tabularnewline
    27. 

  27. shuttle 2 vs 5 &  \textbf{0.998}  /  \textbf{0.998}  &  0.996  /  0.996  &  0.990  /  0.990  &  0.980  /  0.980  &  0.987  /  0.986 
    28. 

  28. \tabularnewline
    29. 

  29. winequality red 4 &  0.113  /  0.056  &  0.143  /  0.090  &  0.017  /  0.011  &  0.109  /  0.059  &  \textbf{0.144}  /  \textbf{0.097} 
    30. 

  30. \tabularnewline
    31. 

  31. yeast4 &  0.236  /  0.188  &  0.247  /  0.202  &  0.271  /  0.256  &  0.230  /  0.188  &  \textbf{0.284}  /  \textbf{0.257} 
    32. 

  32. \tabularnewline
    33. 

  33. yeast5 &  0.574  /  0.555  &  0.592  /  0.575  &  0.551  /  0.539  &  0.510  /  0.489  &  0.614  /  0.600 
    34. 

  34. \tabularnewline
    35. 

  35. yeast6 &  0.242  /  0.210  &  0.292  /  0.263  &  \textbf{0.393}  /  \textbf{0.382}  &  0.272  /  0.242  &  0.375  /  0.353 
    36. 

  36. \tabularnewline
    37. 

  37. \hline Average &  0.470  /  0.436  &  0.503  /  0.473  &  0.492  /  0.473  &  0.403  /  0.368  &  0.471  /  0.442 
    38. 

  38. \tabularnewline
    39. 

  39. \hline\end{tabular}\end{table*}
    40. 

  40. 

  41. 

  42. \begin{table*}[ht]\scriptsize\caption{LR (2)}\label{tab:results:LR:B}\centering\tabularnewline
    43. 

  43. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    44. 

  44. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
    45. 

  45. \tabularnewline
    46. 

  46. \hline
    47. 

  47. abalone 17 vs 7 8 9 10 &  0.292  /  0.262  &  0.337  /  0.310  &  0.292  /  0.261  &  \textbf{0.344}  /  \textbf{0.318} 
    48. 

  48. \tabularnewline
    49. 

  49. abalone9 18 &  0.538  /  0.500  &  \textbf{0.575}  /  \textbf{0.544}  &  0.541  /  0.503  &  0.574  /  0.543 
    50. 

  50. \tabularnewline
    51. 

  51. car good &  0.108  /  0.038  &  0.109  /  0.038  &  0.107  /  0.036  &  0.110  /  0.039 
    52. 

  52. \tabularnewline
    53. 

  53. car vgood &  0.373  /  0.332  &  \textbf{0.422}  /  \textbf{0.387}  &  0.377  /  0.337  &  0.400  /  0.362 
    54. 

  54. \tabularnewline
    55. 

  55. flare F &  0.273  /  0.223  &  0.323  /  0.279  &  0.276  /  0.226  &  0.317  /  0.274 
    56. 

  56. \tabularnewline
    57. 

  57. hypothyroid &  0.363  /  0.312  &  0.378  /  0.328  &  0.360  /  0.308  &  \textbf{0.429}  /  \textbf{0.386} 
    58. 

  58. \tabularnewline
    59. 

  59. kddcup guess passwd vs satan &  0.989  /  0.989  &  0.995  /  0.995  &  0.994  /  0.994  &  \textbf{0.998}  /  \textbf{0.998} 
    60. 

  60. \tabularnewline
    61. 

  61. kr vs k three vs eleven &  0.952  /  0.951  &  \textbf{0.965}  /  \textbf{0.965}  &  0.948  /  0.947  &  0.963  /  0.962 
    62. 

  62. \tabularnewline
    63. 

  63. kr vs k zero one vs draw &  0.700  /  0.686  &  \textbf{0.836}  /  \textbf{0.830}  &  0.710  /  0.696  &  0.761  /  0.750 
    64. 

  64. \tabularnewline
    65. 

  65. shuttle 2 vs 5 &  0.994  /  0.994  &  0.996  /  0.996  &  0.989  /  0.989  &  0.992  /  0.992 
    66. 

  66. \tabularnewline
    67. 

  67. winequality red 4 &  0.130  /  0.075  &  0.135  /  0.080  &  0.126  /  0.071  &  0.131  /  0.076 
    68. 

  68. \tabularnewline
    69. 

  69. yeast4 &  0.254  /  0.209  &  0.277  /  0.235  &  0.249  /  0.204  &  0.276  /  0.234 
    70. 

  70. \tabularnewline
    71. 

  71. yeast5 &  0.582  /  0.564  &  \textbf{0.620}  /  \textbf{0.604}  &  0.577  /  0.559  &  0.601  /  0.584 
    72. 

  72. \tabularnewline
    73. 

  73. yeast6 &  0.295  /  0.266  &  0.353  /  0.328  &  0.290  /  0.261  &  0.316  /  0.289 
    74. 

  74. \tabularnewline
    75. 

  75. \hline Average &  0.489  /  0.457  &  \textbf{0.523}  /  \textbf{0.494}  &  0.488  /  0.457  &  0.515  /  0.486 
    76. 

  76. \tabularnewline
    77. 

  77. \hline\end{tabular}\end{table*}
    78. 

  78. 

  79. 

  80. % ### RF
    81. 

  81. 

  82. \begin{table*}[ht]\scriptsize\caption{RF (1)}\label{tab:results:RF:A}\centering\tabularnewline
    83. 

  83. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    84. 

  84. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
    85. 

  85. \tabularnewline
    86. 

  86. \hline
    87. 

  87. abalone 17 vs 7 8 9 10 &  0.189  /  0.180  &  0.188  /  0.179  &  0.185  /  0.175  &  0.236  /  0.219  &  0.115  /  0.109 
    88. 

  88. \tabularnewline
    89. 

  89. abalone9 18 &  0.311  /  0.288  &  0.338  /  0.311  &  0.309  /  0.287  &  \textbf{0.398}  /  \textbf{0.366}  &  0.252  /  0.235 
    90. 

  90. \tabularnewline
    91. 

  91. car good &  \textbf{0.900}  /  \textbf{0.896}  &  0.557  /  0.548  &  0.672  /  0.664  &  0.533  /  0.504  &  0.669  /  0.660 
    92. 

  92. \tabularnewline
    93. 

  93. car vgood &  \textbf{0.982}  /  \textbf{0.982}  &  0.904  /  0.901  &  0.924  /  0.921  &  0.812  /  0.803  &  0.944  /  0.942 
    94. 

  94. \tabularnewline
    95. 

  95. flare F &  0.224  /  0.180  &  0.080  /  0.059  &  0.110  /  0.091  &  \textbf{0.261}  /  \textbf{0.214}  &  0.091  /  0.071 
    96. 

  96. \tabularnewline
    97. 

  97. hypothyroid &  0.796  /  0.787  &  0.737  /  0.726  &  0.785  /  0.775  &  0.764  /  0.750  &  0.779  /  0.769 
    98. 

  98. \tabularnewline
    99. 

  99. kddcup guess passwd vs satan &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  0.993  /  0.992  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
    100. 

  100. \tabularnewline
    101. 

  101. kr vs k three vs eleven &  \textbf{0.999}  /  \textbf{0.999}  &  0.993  /  0.993  &  0.995  /  0.995  &  0.791  /  0.784  &  0.997  /  0.997 
    102. 

  102. \tabularnewline
    103. 

  103. kr vs k zero one vs draw &  0.945  /  0.943  &  0.939  /  0.936  &  0.938  /  0.935  &  0.703  /  0.688  &  0.938  /  0.936 
    104. 

  104. \tabularnewline
    105. 

  105. shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
    106. 

  106. \tabularnewline
    107. 

  107. winequality red 4 &  0.014  /  0.009  &  0.000  /  -0.008  &  0.026  /  0.023  &  \textbf{0.132}  /  \textbf{0.102}  &  0.007  /  -0.000 
    108. 

  108. \tabularnewline
    109. 

  109. yeast4 &  0.295  /  0.282  &  0.329  /  0.314  &  0.252  /  0.242  &  \textbf{0.353}  /  \textbf{0.325}  &  0.253  /  0.242 
    110. 

  110. \tabularnewline
    111. 

  111. yeast5 &  0.736  /  0.728  &  0.705  /  0.697  &  0.700  /  0.692  &  0.651  /  0.638  &  0.665  /  0.656 
    112. 

  112. \tabularnewline
    113. 

  113. yeast6 &  0.516  /  0.507  &  0.551  /  0.543  &  0.478  /  0.470  &  0.381  /  0.362  &  0.459  /  0.452 
    114. 

  114. \tabularnewline
    115. 

  115. \hline Average &  \textbf{0.636}  /  \textbf{0.627}  &  0.594  /  0.586  &  0.598  /  0.590  &  0.573  /  0.554  &  0.584  /  0.576 
    116. 

  116. \tabularnewline
    117. 

  117. \hline\end{tabular}\end{table*}
    118. 

  118. 

  119. 

  120. \begin{table*}[ht]\scriptsize\caption{RF (2)}\label{tab:results:RF:B}\centering\tabularnewline
    121. 

  121. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    122. 

  122. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
    123. 

  123. \tabularnewline
    124. 

  124. \hline
    125. 

  125. abalone 17 vs 7 8 9 10 &  0.234  /  0.222  &  0.280  /  0.268  &  0.253  /  0.240  &  \textbf{0.283}  /  \textbf{0.270} 
    126. 

  126. \tabularnewline
    127. 

  127. abalone9 18 &  0.324  /  0.291  &  0.348  /  0.326  &  0.335  /  0.302  &  0.359  /  0.337 
    128. 

  128. \tabularnewline
    129. 

  129. car good &  0.634  /  0.624  &  0.659  /  0.650  &  0.655  /  0.646  &  0.647  /  0.638 
    130. 

  130. \tabularnewline
    131. 

  131. car vgood &  0.910  /  0.907  &  0.929  /  0.927  &  0.904  /  0.901  &  0.921  /  0.918 
    132. 

  132. \tabularnewline
    133. 

  133. flare F &  0.062  /  0.043  &  0.120  /  0.099  &  0.064  /  0.044  &  0.133  /  0.113 
    134. 

  134. \tabularnewline
    135. 

  135. hypothyroid &  0.782  /  0.772  &  \textbf{0.798}  /  \textbf{0.788}  &  0.791  /  0.781  &  0.796  /  0.786 
    136. 

  136. \tabularnewline
    137. 

  137. kddcup guess passwd vs satan &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
    138. 

  138. \tabularnewline
    139. 

  139. kr vs k three vs eleven &  0.993  /  0.993  &  0.992  /  0.992  &  0.993  /  0.993  &  0.992  /  0.992 
    140. 

  140. \tabularnewline
    141. 

  141. kr vs k zero one vs draw &  0.941  /  0.939  &  0.946  /  0.944  &  0.937  /  0.935  &  \textbf{0.949}  /  \textbf{0.947} 
    142. 

  142. \tabularnewline
    143. 

  143. shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
    144. 

  144. \tabularnewline
    145. 

  145. winequality red 4 &  0.079  /  0.062  &  0.086  /  0.055  &  0.067  /  0.050  &  0.070  /  0.041 
    146. 

  146. \tabularnewline
    147. 

  147. yeast4 &  0.251  /  0.240  &  0.321  /  0.304  &  0.238  /  0.228  &  0.314  /  0.298 
    148. 

  148. \tabularnewline
    149. 

  149. yeast5 &  0.691  /  0.684  &  \textbf{0.738}  /  \textbf{0.730}  &  0.705  /  0.698  &  0.727  /  0.718 
    150. 

  150. \tabularnewline
    151. 

  151. yeast6 &  0.498  /  0.490  &  \textbf{0.575}  /  \textbf{0.567}  &  0.510  /  0.503  &  0.510  /  0.501 
    152. 

  152. \tabularnewline
    153. 

  153. \hline Average &  0.600  /  0.591  &  0.628  /  0.618  &  0.604  /  0.594  &  0.622  /  0.611 
    154. 

  154. \tabularnewline
    155. 

  155. \hline\end{tabular}\end{table*}
    156. 

  156. 

  157. 

  158. % ### GB
    159. 

  159. 

  160. \begin{table*}[ht]\scriptsize\caption{GB (1)}\label{tab:results:GB:A}\centering\tabularnewline
    161. 

  161. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    162. 

  162. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
    163. 

  163. \tabularnewline
    164. 

  164. \hline
    165. 

  165. abalone 17 vs 7 8 9 10 &  0.331  /  0.309  &  \textbf{0.333}  /  \textbf{0.315}  &  0.278  /  0.265  &  0.213  /  0.196  &  0.232  /  0.221 
    166. 

  166. \tabularnewline
    167. 

  167. abalone9 18 &  0.382  /  0.345  &  0.384  /  0.344  &  0.338  /  0.308  &  \textbf{0.398}  /  \textbf{0.370}  &  0.389  /  0.361 
    168. 

  168. \tabularnewline
    169. 

  169. car good &  0.839  /  0.831  &  0.853  /  0.847  &  0.831  /  0.824  &  0.533  /  0.504  &  0.764  /  0.756 
    170. 

  170. \tabularnewline
    171. 

  171. car vgood &  0.938  /  0.935  &  0.973  /  0.972  &  \textbf{0.982}  /  0.981  &  0.812  /  0.803  &  0.974  /  0.973 
    172. 

  172. \tabularnewline
    173. 

  173. flare F &  0.285  /  0.237  &  0.133  /  0.113  &  0.183  /  0.168  &  \textbf{0.326}  /  \textbf{0.286}  &  0.166  /  0.149 
    174. 

  174. \tabularnewline
    175. 

  175. hypothyroid &  0.781  /  0.768  &  0.788  /  0.777  &  0.808  /  0.799  &  0.748  /  0.733  &  0.809  /  0.800 
    176. 

  176. \tabularnewline
    177. 

  177. kddcup guess passwd vs satan &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  0.987  /  0.986  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
    178. 

  178. \tabularnewline
    179. 

  179. kr vs k three vs eleven &  \textbf{0.995}  /  \textbf{0.995}  &  \textbf{0.995}  /  \textbf{0.995}  &  \textbf{0.995}  /  \textbf{0.995}  &  0.751  /  0.742  &  0.994  /  0.994 
    180. 

  180. \tabularnewline
    181. 

  181. kr vs k zero one vs draw &  0.944  /  0.942  &  0.960  /  0.958  &  0.964  /  0.963  &  0.638  /  0.619  &  0.947  /  0.945 
    182. 

  182. \tabularnewline
    183. 

  183. shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000} 
    184. 

  184. \tabularnewline
    185. 

  185. winequality red 4 &  0.122  /  0.088  &  0.093  /  0.065  &  0.087  /  0.077  &  0.112  /  0.086  &  0.084  /  0.065 
    186. 

  186. \tabularnewline
    187. 

  187. yeast4 &  \textbf{0.378}  /  \textbf{0.350}  &  0.354  /  0.331  &  0.289  /  0.274  &  0.276  /  0.248  &  0.332  /  0.317 
    188. 

  188. \tabularnewline
    189. 

  189. yeast5 &  0.712  /  0.703  &  0.707  /  0.698  &  \textbf{0.736}  /  \textbf{0.728}  &  0.618  /  0.604  &  0.690  /  0.682 
    190. 

  190. \tabularnewline
    191. 

  191. yeast6 &  0.475  /  0.461  &  0.539  /  0.529  &  0.474  /  0.465  &  0.355  /  0.336  &  0.463  /  0.453 
    192. 

  192. \tabularnewline
    193. 

  193. \hline Average &  \textbf{0.656}  /  0.640  &  0.651  /  0.639  &  0.639  /  0.631  &  0.556  /  0.538  &  0.632  /  0.623 
    194. 

  194. \tabularnewline
    195. 

  195. \hline\end{tabular}\end{table*}
    196. 

  196. 

  197. 

  198. \begin{table*}[ht]\scriptsize\caption{GB (2)}\label{tab:results:GB:B}\centering\tabularnewline
    199. 

  199. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    200. 

  200. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
    201. 

  201. \tabularnewline
    202. 

  202. \hline
    203. 

  203. abalone 17 vs 7 8 9 10 &  0.291  /  0.270  &  0.291  /  0.278  &  0.310  /  0.289  &  0.311  /  0.297 
    204. 

  204. \tabularnewline
    205. 

  205. abalone9 18 &  0.367  /  0.329  &  0.318  /  0.292  &  0.343  /  0.304  &  0.318  /  0.292 
    206. 

  206. \tabularnewline
    207. 

  207. car good &  0.714  /  0.705  &  0.864  /  0.858  &  0.733  /  0.723  &  \textbf{0.869}  /  \textbf{0.864} 
    208. 

  208. \tabularnewline
    209. 

  209. car vgood &  0.933  /  0.931  &  \textbf{0.982}  /  \textbf{0.982}  &  0.951  /  0.949  &  \textbf{0.982}  /  \textbf{0.982} 
    210. 

  210. \tabularnewline
    211. 

  211. flare F &  0.139  /  0.125  &  0.181  /  0.164  &  0.162  /  0.147  &  0.156  /  0.138 
    212. 

  212. \tabularnewline
    213. 

  213. hypothyroid &  0.789  /  0.777  &  0.800  /  0.789  &  0.789  /  0.777  &  \textbf{0.815}  /  \textbf{0.806} 
    214. 

  214. \tabularnewline
    215. 

  215. kddcup guess passwd vs satan &  0.995  /  0.995  &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  \textbf{1.000}  /  \textbf{1.000} 
    216. 

  216. \tabularnewline
    217. 

  217. kr vs k three vs eleven &  \textbf{0.995}  /  \textbf{0.995}  &  \textbf{0.995}  /  \textbf{0.995}  &  0.992  /  0.992  &  \textbf{0.995}  /  \textbf{0.995} 
    218. 

  218. \tabularnewline
    219. 

  219. kr vs k zero one vs draw &  0.959  /  0.958  &  \textbf{0.972}  /  \textbf{0.971}  &  0.960  /  0.958  &  0.961  /  0.960 
    220. 

  220. \tabularnewline
    221. 

  221. shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  \textbf{1.000}  /  \textbf{1.000}  &  0.994  /  0.994  &  \textbf{1.000}  /  \textbf{1.000} 
    222. 

  222. \tabularnewline
    223. 

  223. winequality red 4 &  \textbf{0.133}  /  \textbf{0.095}  &  0.107  /  0.066  &  \textbf{0.133}  /  \textbf{0.095}  &  0.102  /  0.063 
    224. 

  224. \tabularnewline
    225. 

  225. yeast4 &  0.257  /  0.242  &  0.351  /  0.329  &  0.261  /  0.245  &  0.333  /  0.311 
    226. 

  226. \tabularnewline
    227. 

  227. yeast5 &  0.713  /  0.705  &  0.724  /  0.716  &  0.731  /  0.723  &  0.714  /  0.705 
    228. 

  228. \tabularnewline
    229. 

  229. yeast6 &  0.490  /  0.481  &  \textbf{0.564}  /  \textbf{0.554}  &  0.481  /  0.472  &  0.520  /  0.510 
    230. 

  230. \tabularnewline
    231. 

  231. \hline Average &  0.627  /  0.615  &  0.654  /  \textbf{0.642}  &  0.631  /  0.619  &  0.648  /  0.637 
    232. 

  232. \tabularnewline
    233. 

  233. \hline\end{tabular}\end{table*}
    234. 

  234. 

  235. 

  236. % ### KNN
    237. 

  237. 

  238. \begin{table*}[ht]\scriptsize\caption{KNN (1)}\label{tab:results:KNN:A}\centering\tabularnewline
    239. 

  239. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    240. 

  240. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
    241. 

  241. \tabularnewline
    242. 

  242. \hline
    243. 

  243. abalone 17 vs 7 8 9 10 &  0.315  /  0.291  &  \textbf{0.338}  /  \textbf{0.315}  &  0.154  /  0.144  &  0.169  /  0.163  &  0.090  /  0.084 
    244. 

  244. \tabularnewline
    245. 

  245. abalone9 18 &  0.342  /  0.286  &  \textbf{0.383}  /  \textbf{0.334}  &  0.161  /  0.144  &  0.212  /  0.197  &  0.153  /  0.140 
    246. 

  246. \tabularnewline
    247. 

  247. car good &  0.357  /  0.312  &  \textbf{0.720}  /  \textbf{0.707}  &  0.465  /  0.439  &  0.220  /  0.160  &  0.375  /  0.332 
    248. 

  248. \tabularnewline
    249. 

  249. car vgood &  0.413  /  0.375  &  0.805  /  0.797  &  0.718  /  0.707  &  0.297  /  0.249  &  0.618  /  0.597 
    250. 

  250. \tabularnewline
    251. 

  251. flare F &  0.245  /  0.191  &  0.294  /  0.251  &  0.300  /  0.262  &  0.298  /  0.253  &  0.272  /  0.228 
    252. 

  252. \tabularnewline
    253. 

  253. hypothyroid &  0.568  /  0.540  &  0.615  /  0.592  &  0.605  /  0.583  &  0.604  /  0.580  &  0.601  /  0.580 
    254. 

  254. \tabularnewline
    255. 

  255. kddcup guess passwd vs satan &  \textbf{0.991}  /  \textbf{0.991}  &  \textbf{0.991}  /  \textbf{0.991}  &  \textbf{0.991}  /  \textbf{0.991}  &  \textbf{0.991}  /  \textbf{0.991}  &  \textbf{0.991}  /  \textbf{0.991} 
    256. 

  256. \tabularnewline
    257. 

  257. kr vs k three vs eleven &  0.901  /  0.898  &  0.931  /  0.928  &  0.945  /  0.943  &  0.648  /  0.634  &  0.819  /  0.813 
    258. 

  258. \tabularnewline
    259. 

  259. kr vs k zero one vs draw &  0.840  /  0.833  &  0.885  /  0.881  &  0.864  /  0.859  &  0.721  /  0.708  &  0.795  /  0.786 
    260. 

  260. \tabularnewline
    261. 

  261. shuttle 2 vs 5 &  0.951  /  0.951  &  0.956  /  0.955  &  0.931  /  0.930  &  0.947  /  0.946  &  0.914  /  0.913 
    262. 

  262. \tabularnewline
    263. 

  263. winequality red 4 &  0.069  /  0.016  &  \textbf{0.074}  /  \textbf{0.022}  &  0.037  /  0.013  &  0.046  /  0.002  &  0.045  /  -0.005 
    264. 

  264. \tabularnewline
    265. 

  265. yeast4 &  0.329  /  0.293  &  \textbf{0.365}  /  0.335  &  0.363  /  \textbf{0.340}  &  0.319  /  0.290  &  0.254  /  0.218 
    266. 

  266. \tabularnewline
    267. 

  267. yeast5 &  0.670  /  0.657  &  \textbf{0.691}  /  \textbf{0.679}  &  0.677  /  0.667  &  0.583  /  0.565  &  0.678  /  0.667 
    268. 

  268. \tabularnewline
    269. 

  269. yeast6 &  0.409  /  0.387  &  \textbf{0.464}  /  \textbf{0.447}  &  0.406  /  0.386  &  0.397  /  0.375  &  0.424  /  0.405 
    270. 

  270. \tabularnewline
    271. 

  271. \hline Average &  0.529  /  0.502  &  \textbf{0.608}  /  \textbf{0.588}  &  0.544  /  0.529  &  0.461  /  0.437  &  0.502  /  0.482 
    272. 

  272. \tabularnewline
    273. 

  273. \hline\end{tabular}\end{table*}
    274. 

  274. 

  275. 

  276. \begin{table*}[ht]\scriptsize\caption{KNN (2)}\label{tab:results:KNN:B}\centering\tabularnewline
    277. 

  277. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    278. 

  278. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
    279. 

  279. \tabularnewline
    280. 

  280. \hline
    281. 

  281. abalone 17 vs 7 8 9 10 &  0.290  /  0.261  &  0.315  /  0.296  &  0.273  /  0.243  &  0.311  /  0.291 
    282. 

  282. \tabularnewline
    283. 

  283. abalone9 18 &  0.361  /  0.305  &  0.136  /  0.120  &  0.347  /  0.290  &  0.165  /  0.149 
    284. 

  284. \tabularnewline
    285. 

  285. car good &  0.558  /  0.531  &  0.509  /  0.479  &  0.534  /  0.505  &  0.585  /  0.561 
    286. 

  286. \tabularnewline
    287. 

  287. car vgood &  0.659  /  0.641  &  \textbf{0.879}  /  \textbf{0.874}  &  0.700  /  0.684  &  0.794  /  0.784 
    288. 

  288. \tabularnewline
    289. 

  289. flare F &  0.269  /  0.220  &  \textbf{0.306}  /  \textbf{0.265}  &  0.277  /  0.228  &  0.302  /  0.262 
    290. 

  290. \tabularnewline
    291. 

  291. hypothyroid &  0.576  /  0.548  &  0.606  /  0.582  &  0.578  /  0.551  &  \textbf{0.646}  /  \textbf{0.628} 
    292. 

  292. \tabularnewline
    293. 

  293. kddcup guess passwd vs satan &  0.982  /  0.982  &  \textbf{0.991}  /  \textbf{0.991}  &  0.985  /  0.985  &  \textbf{0.991}  /  \textbf{0.991} 
    294. 

  294. \tabularnewline
    295. 

  295. kr vs k three vs eleven &  0.895  /  0.891  &  \textbf{0.961}  /  \textbf{0.960}  &  0.894  /  0.890  &  0.925  /  0.923 
    296. 

  296. \tabularnewline
    297. 

  297. kr vs k zero one vs draw &  0.864  /  0.858  &  \textbf{0.897}  /  \textbf{0.892}  &  0.865  /  0.859  &  0.853  /  0.847 
    298. 

  298. \tabularnewline
    299. 

  299. shuttle 2 vs 5 &  0.954  /  0.954  &  0.932  /  0.931  &  \textbf{0.960}  /  \textbf{0.960}  &  0.943  /  0.942 
    300. 

  300. \tabularnewline
    301. 

  301. winequality red 4 &  \textbf{0.074}  /  0.016  &  0.058  /  -0.001  &  \textbf{0.074}  /  0.016  &  0.059  /  0.000 
    302. 

  302. \tabularnewline
    303. 

  303. yeast4 &  0.334  /  0.296  &  0.348  /  0.313  &  0.338  /  0.301  &  0.345  /  0.309 
    304. 

  304. \tabularnewline
    305. 

  305. yeast5 &  0.650  /  0.636  &  0.646  /  0.631  &  0.640  /  0.624  &  0.659  /  0.645 
    306. 

  306. \tabularnewline
    307. 

  307. yeast6 &  0.337  /  0.311  &  0.426  /  0.406  &  0.334  /  0.308  &  0.390  /  0.367 
    308. 

  308. \tabularnewline
    309. 

  309. \hline Average &  0.557  /  0.532  &  0.572  /  0.553  &  0.557  /  0.532  &  0.569  /  0.550 
    310. 

  310. \tabularnewline
    311. 

  311. \hline\end{tabular}\end{table*}
    312. 

  312. 

  313. 

  314. % ### DoC
    315. 

  315. 

  316. \begin{table*}[ht]\scriptsize\caption{DoC}\label{tab:results:DoC:A}\centering\tabularnewline
    317. 

  317. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
    318. 

  318. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
    319. 

  319. \tabularnewline
    320. 

  320. \hline
    321. 

  321. abalone 17 vs 7 8 9 10 &  0.306  /  0.278  &  \textbf{0.393}  /  \textbf{0.372}  &  0.317  /  0.289  &  0.366  /  0.345 
    322. 

  322. \tabularnewline
    323. 

  323. abalone9 18 &  0.477  /  0.433  &  0.538  /  0.512  &  0.512  /  0.473  &  \textbf{0.549}  /  \textbf{0.525} 
    324. 

  324. \tabularnewline
    325. 

  325. car good &  0.741  /  0.729  &  0.659  /  0.646  &  \textbf{0.759}  /  \textbf{0.748}  &  0.577  /  0.558 
    326. 

  326. \tabularnewline
    327. 

  327. car vgood &  0.772  /  0.763  &  0.721  /  0.712  &  \textbf{0.776}  /  \textbf{0.766}  &  0.753  /  0.743 
    328. 

  328. \tabularnewline
    329. 

  329. flare F &  \textbf{0.321}  /  \textbf{0.279}  &  0.223  /  0.193  &  0.302  /  0.262  &  0.267  /  0.234 
    330. 

  330. \tabularnewline
    331. 

  331. hypothyroid &  0.627  /  0.604  &  \textbf{0.703}  /  \textbf{0.688}  &  0.625  /  0.602  &  0.690  /  0.674 
    332. 

  332. \tabularnewline
    333. 

  333. kddcup guess passwd vs satan &  0.991  /  0.991  &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  \textbf{1.000}  /  \textbf{1.000} 
    334. 

  334. \tabularnewline
    335. 

  335. kr vs k three vs eleven &  0.993  /  0.992  &  0.995  /  0.995  &  0.994  /  0.994  &  \textbf{0.996}  /  \textbf{0.996} 
    336. 

  336. \tabularnewline
    337. 

  337. kr vs k zero one vs draw &  0.957  /  0.955  &  0.951  /  0.949  &  \textbf{0.965}  /  \textbf{0.964}  &  0.941  /  0.939 
    338. 

  338. \tabularnewline
    339. 

  339. shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  0.994  /  0.994  &  0.998  /  0.998 
    340. 

  340. \tabularnewline
    341. 

  341. winequality red 4 &  0.118  /  0.065  &  \textbf{0.123}  /  \textbf{0.073}  &  0.115  /  0.063  &  0.105  /  0.052 
    342. 

  342. \tabularnewline
    343. 

  343. yeast4 &  0.312  /  0.274  &  0.308  /  0.271  &  0.311  /  0.273  &  \textbf{0.334}  /  \textbf{0.299} 
    344. 

  344. \tabularnewline
    345. 

  345. yeast5 &  0.578  /  0.560  &  \textbf{0.652}  /  \textbf{0.639}  &  0.571  /  0.553  &  0.637  /  0.623 
    346. 

  346. \tabularnewline
    347. 

  347. yeast6 &  0.366  /  0.342  &  \textbf{0.491}  /  \textbf{0.475}  &  0.358  /  0.334  &  0.382  /  0.359 
    348. 

  348. \tabularnewline
    349. 

  349. \hline Average &  0.611  /  0.590  &  \textbf{0.625}  /  \textbf{0.609}  &  0.614  /  0.594  &  0.614  /  0.596 
    350. 

  350. \tabularnewline
    351. 

  351. \hline\end{tabular}\end{table*}
    352. 

  352.