TablesConvGeN.tex 12 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200
  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}}\hline
  4. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
  5. \tabularnewline
  6. \hline
  7. 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}
  8. \tabularnewline
  9. abalone9 18 & 0.538 / 0.500 & \textbf{0.575} / \textbf{0.544} & 0.541 / 0.503 & 0.574 / 0.543
  10. \tabularnewline
  11. car good & 0.108 / 0.038 & 0.109 / 0.038 & 0.107 / 0.036 & \textbf{0.110} / \textbf{0.039}
  12. \tabularnewline
  13. car vgood & 0.373 / 0.332 & \textbf{0.422} / \textbf{0.387} & 0.377 / 0.337 & 0.400 / 0.362
  14. \tabularnewline
  15. flare F & 0.273 / 0.223 & \textbf{0.323} / \textbf{0.279} & 0.276 / 0.226 & 0.317 / 0.274
  16. \tabularnewline
  17. hypothyroid & 0.363 / 0.312 & 0.378 / 0.328 & 0.360 / 0.308 & \textbf{0.429} / \textbf{0.386}
  18. \tabularnewline
  19. kddcup guess passwd vs satan & 0.989 / 0.989 & 0.995 / 0.995 & 0.994 / 0.994 & \textbf{0.998} / \textbf{0.998}
  20. \tabularnewline
  21. kr vs k three vs eleven & 0.952 / 0.951 & \textbf{0.965} / \textbf{0.965} & 0.948 / 0.947 & 0.963 / 0.962
  22. \tabularnewline
  23. 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
  24. \tabularnewline
  25. shuttle 2 vs 5 & 0.994 / 0.994 & \textbf{0.996} / \textbf{0.996} & 0.989 / 0.989 & 0.992 / 0.992
  26. \tabularnewline
  27. winequality red 4 & 0.130 / 0.075 & \textbf{0.135} / \textbf{0.080} & 0.126 / 0.071 & 0.131 / 0.076
  28. \tabularnewline
  29. yeast4 & 0.254 / 0.209 & \textbf{0.277} / \textbf{0.235} & 0.249 / 0.204 & 0.276 / 0.234
  30. \tabularnewline
  31. yeast5 & 0.582 / 0.564 & \textbf{0.620} / \textbf{0.604} & 0.577 / 0.559 & 0.601 / 0.584
  32. \tabularnewline
  33. yeast6 & 0.295 / 0.266 & \textbf{0.353} / \textbf{0.328} & 0.290 / 0.261 & 0.316 / 0.289
  34. \tabularnewline
  35. \hline Average & 0.489 / 0.457 & \textbf{0.523} / \textbf{0.494} & 0.488 / 0.457 & 0.515 / 0.486
  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}}\hline
  41. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
  42. \tabularnewline
  43. \hline
  44. 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}
  45. \tabularnewline
  46. abalone9 18 & 0.324 / 0.291 & 0.348 / 0.326 & 0.335 / 0.302 & \textbf{0.359} / \textbf{0.337}
  47. \tabularnewline
  48. car good & 0.634 / 0.624 & \textbf{0.659} / \textbf{0.650} & 0.655 / 0.646 & 0.647 / 0.638
  49. \tabularnewline
  50. car vgood & 0.910 / 0.907 & \textbf{0.929} / \textbf{0.927} & 0.904 / 0.901 & 0.921 / 0.918
  51. \tabularnewline
  52. flare F & 0.062 / 0.043 & 0.120 / 0.099 & 0.064 / 0.044 & \textbf{0.133} / \textbf{0.113}
  53. \tabularnewline
  54. hypothyroid & 0.782 / 0.772 & \textbf{0.798} / \textbf{0.788} & 0.791 / 0.781 & 0.796 / 0.786
  55. \tabularnewline
  56. 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}
  57. \tabularnewline
  58. kr vs k three vs eleven & \textbf{0.993} / \textbf{0.993} & 0.992 / 0.992 & \textbf{0.993} / \textbf{0.993} & 0.992 / 0.992
  59. \tabularnewline
  60. 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}
  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}
  63. \tabularnewline
  64. winequality red 4 & 0.079 / \textbf{0.062} & \textbf{0.086} / 0.055 & 0.067 / 0.050 & 0.070 / 0.041
  65. \tabularnewline
  66. yeast4 & 0.251 / 0.240 & \textbf{0.321} / \textbf{0.304} & 0.238 / 0.228 & 0.314 / 0.298
  67. \tabularnewline
  68. yeast5 & 0.691 / 0.684 & \textbf{0.738} / \textbf{0.730} & 0.705 / 0.698 & 0.727 / 0.718
  69. \tabularnewline
  70. yeast6 & 0.498 / 0.490 & \textbf{0.575} / \textbf{0.567} & 0.510 / 0.503 & 0.510 / 0.501
  71. \tabularnewline
  72. \hline Average & 0.600 / 0.591 & \textbf{0.628} / \textbf{0.618} & 0.604 / 0.594 & 0.622 / 0.611
  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}}\hline
  78. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
  79. \tabularnewline
  80. \hline
  81. abalone 17 vs 7 8 9 10 & 0.291 / 0.270 & 0.291 / 0.278 & 0.310 / 0.289 & \textbf{0.311} / \textbf{0.297}
  82. \tabularnewline
  83. abalone9 18 & \textbf{0.367} / \textbf{0.329} & 0.318 / 0.292 & 0.343 / 0.304 & 0.318 / 0.292
  84. \tabularnewline
  85. car good & 0.714 / 0.705 & 0.864 / 0.858 & 0.733 / 0.723 & \textbf{0.869} / \textbf{0.864}
  86. \tabularnewline
  87. car vgood & 0.933 / 0.931 & \textbf{0.982} / \textbf{0.982} & 0.951 / 0.949 & \textbf{0.982} / \textbf{0.982}
  88. \tabularnewline
  89. flare F & 0.139 / 0.125 & \textbf{0.181} / \textbf{0.164} & 0.162 / 0.147 & 0.156 / 0.138
  90. \tabularnewline
  91. hypothyroid & 0.789 / 0.777 & 0.800 / 0.789 & 0.789 / 0.777 & \textbf{0.815} / \textbf{0.806}
  92. \tabularnewline
  93. 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}
  94. \tabularnewline
  95. 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}
  96. \tabularnewline
  97. 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
  98. \tabularnewline
  99. 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}
  100. \tabularnewline
  101. winequality red 4 & \textbf{0.133} / \textbf{0.095} & 0.107 / 0.066 & \textbf{0.133} / \textbf{0.095} & 0.102 / 0.063
  102. \tabularnewline
  103. yeast4 & 0.257 / 0.242 & \textbf{0.351} / \textbf{0.329} & 0.261 / 0.245 & 0.333 / 0.311
  104. \tabularnewline
  105. yeast5 & 0.713 / 0.705 & 0.724 / 0.716 & \textbf{0.731} / \textbf{0.723} & 0.714 / 0.705
  106. \tabularnewline
  107. yeast6 & 0.490 / 0.481 & \textbf{0.564} / \textbf{0.554} & 0.481 / 0.472 & 0.520 / 0.510
  108. \tabularnewline
  109. \hline Average & 0.627 / 0.615 & \textbf{0.654} / \textbf{0.642} & 0.631 / 0.619 & 0.648 / 0.637
  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}}\hline
  115. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
  116. \tabularnewline
  117. \hline
  118. abalone 17 vs 7 8 9 10 & 0.290 / 0.261 & \textbf{0.315} / \textbf{0.296} & 0.273 / 0.243 & 0.311 / 0.291
  119. \tabularnewline
  120. abalone9 18 & \textbf{0.361} / \textbf{0.305} & 0.136 / 0.120 & 0.347 / 0.290 & 0.165 / 0.149
  121. \tabularnewline
  122. car good & 0.558 / 0.531 & 0.509 / 0.479 & 0.534 / 0.505 & \textbf{0.585} / \textbf{0.561}
  123. \tabularnewline
  124. car vgood & 0.659 / 0.641 & \textbf{0.879} / \textbf{0.874} & 0.700 / 0.684 & 0.794 / 0.784
  125. \tabularnewline
  126. flare F & 0.269 / 0.220 & \textbf{0.306} / \textbf{0.265} & 0.277 / 0.228 & 0.302 / 0.262
  127. \tabularnewline
  128. hypothyroid & 0.576 / 0.548 & 0.606 / 0.582 & 0.578 / 0.551 & \textbf{0.646} / \textbf{0.628}
  129. \tabularnewline
  130. 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}
  131. \tabularnewline
  132. kr vs k three vs eleven & 0.895 / 0.891 & \textbf{0.961} / \textbf{0.960} & 0.894 / 0.890 & 0.925 / 0.923
  133. \tabularnewline
  134. 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
  135. \tabularnewline
  136. shuttle 2 vs 5 & 0.954 / 0.954 & 0.932 / 0.931 & \textbf{0.960} / \textbf{0.960} & 0.943 / 0.942
  137. \tabularnewline
  138. winequality red 4 & \textbf{0.074} / \textbf{0.016} & 0.058 / -0.001 & \textbf{0.074} / \textbf{0.016} & 0.059 / 0.000
  139. \tabularnewline
  140. yeast4 & 0.334 / 0.296 & \textbf{0.348} / \textbf{0.313} & 0.338 / 0.301 & 0.345 / 0.309
  141. \tabularnewline
  142. yeast5 & 0.650 / 0.636 & 0.646 / 0.631 & 0.640 / 0.624 & \textbf{0.659} / \textbf{0.645}
  143. \tabularnewline
  144. yeast6 & 0.337 / 0.311 & \textbf{0.426} / \textbf{0.406} & 0.334 / 0.308 & 0.390 / 0.367
  145. \tabularnewline
  146. \hline Average & 0.557 / 0.532 & \textbf{0.572} / \textbf{0.553} & 0.557 / 0.532 & 0.569 / 0.550
  147. \tabularnewline
  148. \hline\end{tabular}\end{table*}
  149. % ### DoC
  150. \begin{table*}[ht]\scriptsize\caption{DoC}\label{tab:results:DoC:A}\centering\tabularnewline
  151. \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
  152. \textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
  153. \tabularnewline
  154. \hline
  155. 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
  156. \tabularnewline
  157. abalone9 18 & 0.477 / 0.433 & 0.538 / 0.512 & 0.512 / 0.473 & \textbf{0.549} / \textbf{0.525}
  158. \tabularnewline
  159. car good & 0.741 / 0.729 & 0.659 / 0.646 & \textbf{0.759} / \textbf{0.748} & 0.577 / 0.558
  160. \tabularnewline
  161. car vgood & 0.772 / 0.763 & 0.721 / 0.712 & \textbf{0.776} / \textbf{0.766} & 0.753 / 0.743
  162. \tabularnewline
  163. flare F & \textbf{0.321} / \textbf{0.279} & 0.223 / 0.193 & 0.302 / 0.262 & 0.267 / 0.234
  164. \tabularnewline
  165. hypothyroid & 0.627 / 0.604 & \textbf{0.703} / \textbf{0.688} & 0.625 / 0.602 & 0.690 / 0.674
  166. \tabularnewline
  167. 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}
  168. \tabularnewline
  169. kr vs k three vs eleven & 0.993 / 0.992 & 0.995 / 0.995 & 0.994 / 0.994 & \textbf{0.996} / \textbf{0.996}
  170. \tabularnewline
  171. 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
  172. \tabularnewline
  173. shuttle 2 vs 5 & \textbf{1.000} / \textbf{1.000} & 0.996 / 0.996 & 0.994 / 0.994 & 0.998 / 0.998
  174. \tabularnewline
  175. winequality red 4 & 0.118 / 0.065 & \textbf{0.123} / \textbf{0.073} & 0.115 / 0.063 & 0.105 / 0.052
  176. \tabularnewline
  177. yeast4 & 0.312 / 0.274 & 0.308 / 0.271 & 0.311 / 0.273 & \textbf{0.334} / \textbf{0.299}
  178. \tabularnewline
  179. yeast5 & 0.578 / 0.560 & \textbf{0.652} / \textbf{0.639} & 0.571 / 0.553 & 0.637 / 0.623
  180. \tabularnewline
  181. yeast6 & 0.366 / 0.342 & \textbf{0.491} / \textbf{0.475} & 0.358 / 0.334 & 0.382 / 0.359
  182. \tabularnewline
  183. \hline Average & 0.611 / 0.590 & \textbf{0.625} / \textbf{0.609} & 0.614 / 0.594 & 0.614 / 0.596
  184. \tabularnewline
  185. \hline\end{tabular}\end{table*}