Tables.tex 12 KB

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  1. % ### LR
  2. \begin{table*}[ht]\scriptsize\caption{LR}\label{tab:results:LR:A}\centering\tabularnewline
  3. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
  4. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN} & \textbf{ConvGeN(min,maj)}
  5. \tabularnewline
  6. \hline
  7. abalone 17 vs 7 8 9 10 & 0.275 / 0.244 & \textbf{0.337} / \textbf{0.311} & 0.304 / 0.276 & 0.221 / 0.191 & 0.200 / 0.164 & \textbf{0.337} / 0.310
  8. \tabularnewline
  9. abalone9 18 & 0.458 / 0.409 & 0.570 / 0.538 & 0.462 / 0.418 & 0.341 / 0.288 & 0.389 / 0.332 & \textbf{0.575} / \textbf{0.544}
  10. \tabularnewline
  11. car good & 0.106 / 0.035 & 0.100 / 0.029 & \textbf{0.162} / \textbf{0.101} & 0.106 / 0.035 & 0.109 / 0.038 & 0.109 / 0.038
  12. \tabularnewline
  13. car vgood & 0.362 / 0.320 & 0.392 / 0.354 & 0.377 / 0.337 & 0.331 / 0.287 & 0.354 / 0.311 & \textbf{0.422} / \textbf{0.387}
  14. \tabularnewline
  15. flare F & 0.263 / 0.210 & 0.278 / 0.228 & 0.272 / 0.223 & 0.287 / 0.236 & 0.293 / 0.244 & \textbf{0.323} / \textbf{0.279}
  16. \tabularnewline
  17. hypothyroid & 0.358 / 0.305 & \textbf{0.399} / 0.352 & 0.393 / \textbf{0.370} & 0.311 / 0.252 & 0.317 / 0.260 & 0.378 / 0.328
  18. \tabularnewline
  19. kddcup guess passwd vs satan & 0.997 / 0.996 & 0.996 / 0.996 & 0.981 / 0.980 & \textbf{1.000} / \textbf{1.000} & \textbf{1.000} / \textbf{1.000} & 0.995 / 0.995
  20. \tabularnewline
  21. kr vs k three vs eleven & 0.942 / 0.941 & \textbf{0.965} / 0.964 & 0.964 / 0.964 & 0.785 / 0.777 & 0.848 / 0.843 & \textbf{0.965} / \textbf{0.965}
  22. \tabularnewline
  23. kr vs k zero one vs draw & 0.650 / 0.632 & 0.745 / 0.733 & 0.725 / 0.712 & 0.575 / 0.552 & 0.583 / 0.561 & \textbf{0.836} / \textbf{0.830}
  24. \tabularnewline
  25. shuttle 2 vs 5 & 0.998 / 0.998 & 0.996 / 0.996 & \textbf{1.000} / \textbf{1.000} & 0.984 / 0.984 & 0.967 / 0.967 & 0.996 / 0.996
  26. \tabularnewline
  27. winequality red 4 & 0.113 / 0.056 & \textbf{0.143} / \textbf{0.090} & 0.077 / 0.044 & 0.127 / 0.080 & 0.109 / 0.051 & 0.135 / 0.080
  28. \tabularnewline
  29. yeast4 & 0.236 / 0.188 & 0.243 / 0.197 & \textbf{0.307} / \textbf{0.269} & 0.216 / 0.168 & 0.227 / 0.178 & 0.277 / 0.235
  30. \tabularnewline
  31. yeast5 & 0.574 / 0.555 & 0.591 / 0.574 & 0.595 / 0.577 & 0.522 / 0.500 & 0.511 / 0.488 & \textbf{0.620} / \textbf{0.604}
  32. \tabularnewline
  33. yeast6 & 0.242 / 0.210 & 0.294 / 0.265 & \textbf{0.375} / \textbf{0.351} & 0.317 / 0.290 & 0.242 / 0.210 & 0.353 / 0.328
  34. \tabularnewline
  35. \hline Average & 0.470 / 0.436 & 0.504 / 0.473 & 0.500 / 0.473 & 0.437 / 0.403 & 0.439 / 0.403 & \textbf{0.523} / \textbf{0.494}
  36. \tabularnewline
  37. \hline\end{tabular}\end{table*}
  38. % ### RF
  39. \begin{table*}[ht]\scriptsize\caption{RF}\label{tab:results:RF:A}\centering\tabularnewline
  40. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
  41. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN} & \textbf{ConvGeN(min,maj)}
  42. \tabularnewline
  43. \hline
  44. abalone 17 vs 7 8 9 10 & 0.190 / 0.180 & 0.169 / 0.161 & 0.256 / 0.242 & 0.239 / 0.220 & \textbf{0.329} / \textbf{0.310} & 0.280 / 0.268
  45. \tabularnewline
  46. abalone9 18 & 0.322 / 0.297 & 0.367 / 0.340 & 0.319 / 0.286 & \textbf{0.395} / \textbf{0.359} & 0.376 / 0.333 & 0.348 / 0.326
  47. \tabularnewline
  48. car good & \textbf{0.899} / \textbf{0.895} & 0.581 / 0.572 & 0.772 / 0.765 & 0.533 / 0.504 & 0.804 / 0.798 & 0.659 / 0.650
  49. \tabularnewline
  50. car vgood & \textbf{0.985} / \textbf{0.984} & 0.914 / 0.911 & 0.949 / 0.947 & 0.812 / 0.803 & 0.959 / 0.957 & 0.929 / 0.927
  51. \tabularnewline
  52. flare F & 0.222 / 0.178 & 0.095 / 0.074 & 0.127 / 0.107 & \textbf{0.294} / \textbf{0.245} & 0.121 / 0.102 & 0.120 / 0.099
  53. \tabularnewline
  54. hypothyroid & \textbf{0.800} / \textbf{0.791} & 0.725 / 0.714 & 0.777 / 0.767 & 0.774 / 0.760 & 0.777 / 0.767 & 0.798 / 0.788
  55. \tabularnewline
  56. kddcup guess passwd vs satan & \textbf{1.000} / \textbf{1.000} & \textbf{1.000} / \textbf{1.000} & 0.994 / 0.994 & \textbf{1.000} / \textbf{1.000} & \textbf{1.000} / \textbf{1.000} & \textbf{1.000} / \textbf{1.000}
  57. \tabularnewline
  58. kr vs k three vs eleven & \textbf{1.000} / \textbf{1.000} & 0.991 / 0.991 & 0.992 / 0.992 & 0.950 / 0.948 & 0.995 / 0.995 & 0.992 / 0.992
  59. \tabularnewline
  60. kr vs k zero one vs draw & 0.946 / 0.944 & 0.939 / 0.936 & \textbf{0.947} / \textbf{0.945} & 0.843 / 0.836 & 0.937 / 0.935 & 0.946 / 0.944
  61. \tabularnewline
  62. 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} & \textbf{1.000} / \textbf{1.000}
  63. \tabularnewline
  64. winequality red 4 & 0.014 / 0.009 & 0.005 / -0.002 & 0.024 / 0.018 & 0.153 / 0.125 & \textbf{0.173} / \textbf{0.133} & 0.086 / 0.055
  65. \tabularnewline
  66. yeast4 & 0.320 / 0.306 & \textbf{0.329} / \textbf{0.313} & 0.284 / 0.272 & 0.284 / 0.252 & 0.311 / 0.300 & 0.321 / 0.304
  67. \tabularnewline
  68. yeast5 & 0.720 / 0.712 & 0.706 / 0.698 & \textbf{0.758} / \textbf{0.751} & 0.647 / 0.634 & 0.740 / 0.733 & 0.738 / 0.730
  69. \tabularnewline
  70. yeast6 & 0.518 / 0.508 & 0.570 / 0.562 & 0.493 / 0.485 & 0.453 / 0.437 & 0.530 / 0.522 & \textbf{0.575} / \textbf{0.567}
  71. \tabularnewline
  72. \hline Average & 0.638 / 0.629 & 0.599 / 0.591 & 0.621 / 0.612 & 0.598 / 0.580 & \textbf{0.647} / \textbf{0.635} & 0.628 / 0.618
  73. \tabularnewline
  74. \hline\end{tabular}\end{table*}
  75. % ### GB
  76. \begin{table*}[ht]\scriptsize\caption{GB}\label{tab:results:GB:A}\centering\tabularnewline
  77. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
  78. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN} & \textbf{ConvGeN(min,maj)}
  79. \tabularnewline
  80. \hline
  81. abalone 17 vs 7 8 9 10 & \textbf{0.333} / \textbf{0.312} & 0.323 / 0.304 & 0.202 / 0.194 & 0.234 / 0.219 & 0.204 / 0.198 & 0.291 / 0.278
  82. \tabularnewline
  83. abalone9 18 & 0.383 / 0.346 & \textbf{0.399} / \textbf{0.362} & 0.344 / 0.319 & 0.396 / \textbf{0.362} & 0.343 / 0.320 & 0.318 / 0.292
  84. \tabularnewline
  85. car good & 0.839 / 0.831 & 0.849 / 0.843 & 0.849 / 0.843 & 0.533 / 0.504 & 0.840 / 0.834 & \textbf{0.864} / \textbf{0.858}
  86. \tabularnewline
  87. car vgood & 0.938 / 0.935 & 0.971 / 0.970 & 0.978 / 0.977 & 0.812 / 0.803 & 0.980 / 0.979 & \textbf{0.982} / \textbf{0.982}
  88. \tabularnewline
  89. flare F & 0.285 / 0.237 & 0.132 / 0.111 & 0.231 / 0.214 & \textbf{0.315} / \textbf{0.268} & 0.225 / 0.208 & 0.181 / 0.164
  90. \tabularnewline
  91. hypothyroid & 0.781 / 0.768 & 0.795 / 0.785 & 0.808 / 0.799 & 0.774 / 0.760 & \textbf{0.810} / \textbf{0.801} & 0.800 / 0.789
  92. \tabularnewline
  93. kddcup guess passwd vs satan & \textbf{1.000} / \textbf{1.000} & \textbf{1.000} / \textbf{1.000} & 0.986 / 0.986 & \textbf{1.000} / \textbf{1.000} & \textbf{1.000} / \textbf{1.000} & \textbf{1.000} / \textbf{1.000}
  94. \tabularnewline
  95. kr vs k three vs eleven & \textbf{0.995} / \textbf{0.995} & \textbf{0.995} / \textbf{0.995} & \textbf{0.995} / \textbf{0.995} & 0.950 / 0.949 & \textbf{0.995} / \textbf{0.995} & \textbf{0.995} / \textbf{0.995}
  96. \tabularnewline
  97. kr vs k zero one vs draw & 0.944 / 0.942 & 0.959 / 0.958 & 0.959 / 0.958 & 0.825 / 0.818 & 0.955 / 0.953 & \textbf{0.972} / \textbf{0.971}
  98. \tabularnewline
  99. 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} & 0.989 / 0.989 & \textbf{1.000} / \textbf{1.000}
  100. \tabularnewline
  101. winequality red 4 & 0.127 / 0.094 & 0.099 / 0.073 & 0.066 / 0.054 & \textbf{0.130} / \textbf{0.104} & 0.128 / 0.086 & 0.107 / 0.066
  102. \tabularnewline
  103. yeast4 & \textbf{0.377} / \textbf{0.349} & 0.371 / \textbf{0.349} & 0.275 / 0.260 & 0.246 / 0.218 & 0.308 / 0.293 & 0.351 / 0.329
  104. \tabularnewline
  105. yeast5 & 0.714 / 0.705 & 0.690 / 0.680 & \textbf{0.746} / \textbf{0.739} & 0.617 / 0.603 & 0.716 / 0.707 & 0.724 / 0.716
  106. \tabularnewline
  107. yeast6 & 0.473 / 0.458 & \textbf{0.569} / \textbf{0.559} & 0.494 / 0.484 & 0.432 / 0.417 & 0.526 / 0.517 & 0.564 / 0.554
  108. \tabularnewline
  109. \hline Average & \textbf{0.656} / 0.641 & 0.654 / 0.642 & 0.638 / 0.630 & 0.590 / 0.573 & 0.644 / 0.634 & 0.654 / \textbf{0.642}
  110. \tabularnewline
  111. \hline\end{tabular}\end{table*}
  112. % ### KNN
  113. \begin{table*}[ht]\scriptsize\caption{KNN}\label{tab:results:KNN:A}\centering\tabularnewline
  114. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
  115. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN} & \textbf{ConvGeN(min,maj)}
  116. \tabularnewline
  117. \hline
  118. abalone 17 vs 7 8 9 10 & 0.315 / 0.291 & \textbf{0.336} / \textbf{0.313} & 0.272 / 0.243 & 0.180 / 0.173 & 0.280 / 0.268 & 0.315 / 0.296
  119. \tabularnewline
  120. abalone9 18 & 0.342 / 0.286 & \textbf{0.386} / \textbf{0.338} & 0.258 / 0.197 & 0.276 / 0.256 & 0.338 / 0.313 & 0.136 / 0.120
  121. \tabularnewline
  122. car good & 0.357 / 0.312 & \textbf{0.720} / \textbf{0.707} & 0.427 / 0.394 & 0.229 / 0.171 & 0.433 / 0.395 & 0.509 / 0.479
  123. \tabularnewline
  124. car vgood & 0.413 / 0.375 & 0.805 / 0.797 & 0.653 / 0.634 & 0.322 / 0.277 & 0.595 / 0.572 & \textbf{0.879} / \textbf{0.874}
  125. \tabularnewline
  126. flare F & 0.245 / 0.191 & 0.293 / 0.249 & 0.270 / 0.228 & 0.267 / 0.214 & 0.293 / 0.246 & \textbf{0.306} / \textbf{0.265}
  127. \tabularnewline
  128. hypothyroid & 0.568 / 0.540 & 0.615 / 0.592 & 0.573 / 0.547 & \textbf{0.618} / \textbf{0.595} & 0.565 / 0.537 & 0.606 / 0.582
  129. \tabularnewline
  130. 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} & \textbf{0.991} / \textbf{0.991}
  131. \tabularnewline
  132. kr vs k three vs eleven & 0.901 / 0.898 & 0.932 / 0.929 & 0.903 / 0.900 & 0.804 / 0.797 & 0.807 / 0.801 & \textbf{0.961} / \textbf{0.960}
  133. \tabularnewline
  134. kr vs k zero one vs draw & 0.840 / 0.833 & 0.885 / 0.880 & 0.828 / 0.821 & 0.767 / 0.756 & 0.786 / 0.776 & \textbf{0.897} / \textbf{0.892}
  135. \tabularnewline
  136. shuttle 2 vs 5 & 0.951 / 0.951 & \textbf{0.956} / \textbf{0.955} & 0.936 / 0.935 & 0.951 / 0.951 & 0.949 / 0.948 & 0.932 / 0.931
  137. \tabularnewline
  138. winequality red 4 & 0.069 / 0.016 & 0.072 / 0.020 & \textbf{0.085} / \textbf{0.028} & 0.047 / 0.001 & 0.057 / 0.003 & 0.058 / -0.001
  139. \tabularnewline
  140. yeast4 & 0.329 / 0.293 & \textbf{0.363} / \textbf{0.332} & 0.332 / 0.294 & 0.304 / 0.267 & 0.313 / 0.273 & 0.348 / 0.313
  141. \tabularnewline
  142. yeast5 & 0.670 / 0.657 & \textbf{0.691} / \textbf{0.679} & 0.598 / 0.581 & 0.542 / 0.522 & 0.507 / 0.484 & 0.646 / 0.631
  143. \tabularnewline
  144. yeast6 & 0.409 / 0.387 & \textbf{0.463} / \textbf{0.445} & 0.363 / 0.339 & 0.383 / 0.360 & 0.304 / 0.276 & 0.426 / 0.406
  145. \tabularnewline
  146. \hline Average & 0.529 / 0.502 & \textbf{0.608} / \textbf{0.588} & 0.535 / 0.509 & 0.477 / 0.452 & 0.516 / 0.492 & 0.572 / 0.553
  147. \tabularnewline
  148. \hline\end{tabular}\end{table*}
  149. % ### DoC