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Updated colors for diagrams.

Kristian Schultz 3 rokov pred
rodič
commit
5889e260a5
67 zmenil súbory, kde vykonal 203 pridanie a 171 odobranie
  1. 16 0
      data_result/statistics/DoC-f1.csv
  2. 16 0
      data_result/statistics/DoC-kappa.csv
  3. 16 16
      data_result/statistics/DoG-f1.csv
  4. 16 16
      data_result/statistics/DoG-kappa.csv
  5. 16 16
      data_result/statistics/GB-f1.csv
  6. 16 16
      data_result/statistics/GB-kappa.csv
  7. 16 16
      data_result/statistics/KNN-f1.csv
  8. 16 16
      data_result/statistics/KNN-kappa.csv
  9. 16 16
      data_result/statistics/LR-f1.csv
  10. 16 16
      data_result/statistics/LR-kappa.csv
  11. 16 16
      data_result/statistics/RF-f1.csv
  12. 16 16
      data_result/statistics/RF-kappa.csv
  13. 11 11
      data_result/statistics/Tables.tex
  14. BIN
      data_result/statistics/average/statistic-Algo-Average-cohens kappa score.png
  15. BIN
      data_result/statistics/average/statistic-Algo-Average-f1 score.png
  16. BIN
      data_result/statistics/byAlgorithm/statistic-DoC-cohens kappa score.png
  17. BIN
      data_result/statistics/byAlgorithm/statistic-DoC-f1 score.png
  18. BIN
      data_result/statistics/byAlgorithm/statistic-DoG-cohens kappa score.png
  19. BIN
      data_result/statistics/byAlgorithm/statistic-DoG-f1 score.png
  20. BIN
      data_result/statistics/byAlgorithm/statistic-GB-cohens kappa score.png
  21. BIN
      data_result/statistics/byAlgorithm/statistic-GB-f1 score.png
  22. BIN
      data_result/statistics/byAlgorithm/statistic-KNN-cohens kappa score.png
  23. BIN
      data_result/statistics/byAlgorithm/statistic-KNN-f1 score.png
  24. BIN
      data_result/statistics/byAlgorithm/statistic-LR-cohens kappa score.png
  25. BIN
      data_result/statistics/byAlgorithm/statistic-LR-f1 score.png
  26. BIN
      data_result/statistics/byAlgorithm/statistic-RF-cohens kappa score.png
  27. BIN
      data_result/statistics/byAlgorithm/statistic-RF-f1 score.png
  28. BIN
      data_result/statistics/byDataset/statistic-Classifier-Average-cohens kappa score.png
  29. BIN
      data_result/statistics/byDataset/statistic-Classifier-Average-f1 score.png
  30. BIN
      data_result/statistics/byDataset/statistic-Classifier-abalone9-18-cohens kappa score.png
  31. BIN
      data_result/statistics/byDataset/statistic-Classifier-abalone9-18-f1 score.png
  32. BIN
      data_result/statistics/byDataset/statistic-Classifier-abalone_17_vs_7_8_9_10-cohens kappa score.png
  33. BIN
      data_result/statistics/byDataset/statistic-Classifier-abalone_17_vs_7_8_9_10-f1 score.png
  34. BIN
      data_result/statistics/byDataset/statistic-Classifier-car-vgood-cohens kappa score.png
  35. BIN
      data_result/statistics/byDataset/statistic-Classifier-car-vgood-f1 score.png
  36. BIN
      data_result/statistics/byDataset/statistic-Classifier-car_good-cohens kappa score.png
  37. BIN
      data_result/statistics/byDataset/statistic-Classifier-car_good-f1 score.png
  38. BIN
      data_result/statistics/byDataset/statistic-Classifier-flare-F-cohens kappa score.png
  39. BIN
      data_result/statistics/byDataset/statistic-Classifier-flare-F-f1 score.png
  40. BIN
      data_result/statistics/byDataset/statistic-Classifier-hypothyroid-cohens kappa score.png
  41. BIN
      data_result/statistics/byDataset/statistic-Classifier-hypothyroid-f1 score.png
  42. BIN
      data_result/statistics/byDataset/statistic-Classifier-kddcup-guess_passwd_vs_satan-cohens kappa score.png
  43. BIN
      data_result/statistics/byDataset/statistic-Classifier-kddcup-guess_passwd_vs_satan-f1 score.png
  44. BIN
      data_result/statistics/byDataset/statistic-Classifier-kr-vs-k-three_vs_eleven-cohens kappa score.png
  45. BIN
      data_result/statistics/byDataset/statistic-Classifier-kr-vs-k-three_vs_eleven-f1 score.png
  46. BIN
      data_result/statistics/byDataset/statistic-Classifier-kr-vs-k-zero-one_vs_draw-cohens kappa score.png
  47. BIN
      data_result/statistics/byDataset/statistic-Classifier-kr-vs-k-zero-one_vs_draw-f1 score.png
  48. BIN
      data_result/statistics/byDataset/statistic-Classifier-shuttle-2_vs_5-cohens kappa score.png
  49. BIN
      data_result/statistics/byDataset/statistic-Classifier-shuttle-2_vs_5-f1 score.png
  50. BIN
      data_result/statistics/byDataset/statistic-Classifier-winequality-red-4-cohens kappa score.png
  51. BIN
      data_result/statistics/byDataset/statistic-Classifier-winequality-red-4-f1 score.png
  52. BIN
      data_result/statistics/byDataset/statistic-Classifier-yeast4-cohens kappa score.png
  53. BIN
      data_result/statistics/byDataset/statistic-Classifier-yeast4-f1 score.png
  54. BIN
      data_result/statistics/byDataset/statistic-Classifier-yeast5-cohens kappa score.png
  55. BIN
      data_result/statistics/byDataset/statistic-Classifier-yeast5-f1 score.png
  56. BIN
      data_result/statistics/byDataset/statistic-Classifier-yeast6-cohens kappa score.png
  57. BIN
      data_result/statistics/byDataset/statistic-Classifier-yeast6-f1 score.png
  58. BIN
      data_result/statistics/successCount/statistic-DoC - cohens kappa score.pdf
  59. BIN
      data_result/statistics/successCount/statistic-DoC - f1 score.pdf
  60. BIN
      data_result/statistics/successCount/statistic-GB - cohens kappa score.pdf
  61. BIN
      data_result/statistics/successCount/statistic-GB - f1 score.pdf
  62. BIN
      data_result/statistics/successCount/statistic-KNN - cohens kappa score.pdf
  63. BIN
      data_result/statistics/successCount/statistic-KNN - f1 score.pdf
  64. BIN
      data_result/statistics/successCount/statistic-LR - cohens kappa score.pdf
  65. BIN
      data_result/statistics/successCount/statistic-LR - f1 score.pdf
  66. BIN
      data_result/statistics/successCount/statistic-RF - cohens kappa score.pdf
  67. BIN
      data_result/statistics/successCount/statistic-RF - f1 score.pdf

+ 16 - 0
data_result/statistics/DoC-f1.csv

@@ -0,0 +1,16 @@
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,None,None,None,None,None,0.393
+abalone9-18,None,None,None,None,None,0.538
+car_good,None,None,None,None,None,0.659
+car-vgood,None,None,None,None,None,0.721
+flare-F,None,None,None,None,None,0.223
+hypothyroid,None,None,None,None,None,0.703
+kddcup-guess_passwd_vs_satan,None,None,None,None,None,1.0
+kr-vs-k-three_vs_eleven,None,None,None,None,None,0.995
+kr-vs-k-zero-one_vs_draw,None,None,None,None,None,0.951
+shuttle-2_vs_5,None,None,None,None,None,0.996
+winequality-red-4,None,None,None,None,None,0.123
+yeast4,None,None,None,None,None,0.308
+yeast5,None,None,None,None,None,0.652
+yeast6,None,None,None,None,None,0.491
+Average,0.0,0.0,0.0,0.0,0.0,0.6252142857142857

+ 16 - 0
data_result/statistics/DoC-kappa.csv

@@ -0,0 +1,16 @@
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,None,None,None,None,None,0.372
+abalone9-18,None,None,None,None,None,0.512
+car_good,None,None,None,None,None,0.646
+car-vgood,None,None,None,None,None,0.712
+flare-F,None,None,None,None,None,0.193
+hypothyroid,None,None,None,None,None,0.688
+kddcup-guess_passwd_vs_satan,None,None,None,None,None,1.0
+kr-vs-k-three_vs_eleven,None,None,None,None,None,0.995
+kr-vs-k-zero-one_vs_draw,None,None,None,None,None,0.949
+shuttle-2_vs_5,None,None,None,None,None,0.996
+winequality-red-4,None,None,None,None,None,0.073
+yeast4,None,None,None,None,None,0.271
+yeast5,None,None,None,None,None,0.639
+yeast6,None,None,None,None,None,0.475
+Average,0.0,0.0,0.0,0.0,0.0,0.6086428571428572

+ 16 - 16
data_result/statistics/DoG-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,None,None,None,None,None,0.306,0.393,0.317,0.366
-abalone9-18,None,None,None,None,None,0.477,0.538,0.512,0.549
-car_good,None,None,None,None,None,0.741,0.659,0.759,0.577
-car-vgood,None,None,None,None,None,0.772,0.721,0.776,0.753
-flare-F,None,None,None,None,None,0.321,0.223,0.302,0.267
-hypothyroid,None,None,None,None,None,0.627,0.703,0.625,0.69
-kddcup-guess_passwd_vs_satan,None,None,None,None,None,0.991,1.0,0.996,1.0
-kr-vs-k-three_vs_eleven,None,None,None,None,None,0.993,0.995,0.994,0.996
-kr-vs-k-zero-one_vs_draw,None,None,None,None,None,0.957,0.951,0.965,0.941
-shuttle-2_vs_5,None,None,None,None,None,1.0,0.996,0.994,0.998
-winequality-red-4,None,None,None,None,None,0.118,0.123,0.115,0.105
-yeast4,None,None,None,None,None,0.312,0.308,0.311,0.334
-yeast5,None,None,None,None,None,0.578,0.652,0.571,0.637
-yeast6,None,None,None,None,None,0.366,0.491,0.358,0.382
-Average,0.0,0.0,0.0,0.0,0.0,0.6113571428571429,0.6252142857142857,0.6139285714285715,0.6139285714285715
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN-majority-full
+abalone_17_vs_7_8_9_10,None,None,None,None,None,0.393
+abalone9-18,None,None,None,None,None,0.538
+car_good,None,None,None,None,None,0.659
+car-vgood,None,None,None,None,None,0.721
+flare-F,None,None,None,None,None,0.223
+hypothyroid,None,None,None,None,None,0.703
+kddcup-guess_passwd_vs_satan,None,None,None,None,None,1.0
+kr-vs-k-three_vs_eleven,None,None,None,None,None,0.995
+kr-vs-k-zero-one_vs_draw,None,None,None,None,None,0.951
+shuttle-2_vs_5,None,None,None,None,None,0.996
+winequality-red-4,None,None,None,None,None,0.123
+yeast4,None,None,None,None,None,0.308
+yeast5,None,None,None,None,None,0.652
+yeast6,None,None,None,None,None,0.491
+Average,0.0,0.0,0.0,0.0,0.0,0.6252142857142857

+ 16 - 16
data_result/statistics/DoG-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,None,None,None,None,None,0.278,0.372,0.289,0.345
-abalone9-18,None,None,None,None,None,0.433,0.512,0.473,0.525
-car_good,None,None,None,None,None,0.729,0.646,0.748,0.558
-car-vgood,None,None,None,None,None,0.763,0.712,0.766,0.743
-flare-F,None,None,None,None,None,0.279,0.193,0.262,0.234
-hypothyroid,None,None,None,None,None,0.604,0.688,0.602,0.674
-kddcup-guess_passwd_vs_satan,None,None,None,None,None,0.991,1.0,0.996,1.0
-kr-vs-k-three_vs_eleven,None,None,None,None,None,0.992,0.995,0.994,0.996
-kr-vs-k-zero-one_vs_draw,None,None,None,None,None,0.955,0.949,0.964,0.939
-shuttle-2_vs_5,None,None,None,None,None,1.0,0.996,0.994,0.998
-winequality-red-4,None,None,None,None,None,0.065,0.073,0.063,0.052
-yeast4,None,None,None,None,None,0.274,0.271,0.273,0.299
-yeast5,None,None,None,None,None,0.56,0.639,0.553,0.623
-yeast6,None,None,None,None,None,0.342,0.475,0.334,0.359
-Average,0.0,0.0,0.0,0.0,0.0,0.5903571428571429,0.6086428571428572,0.593642857142857,0.5960714285714285
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN-majority-full
+abalone_17_vs_7_8_9_10,None,None,None,None,None,0.372
+abalone9-18,None,None,None,None,None,0.512
+car_good,None,None,None,None,None,0.646
+car-vgood,None,None,None,None,None,0.712
+flare-F,None,None,None,None,None,0.193
+hypothyroid,None,None,None,None,None,0.688
+kddcup-guess_passwd_vs_satan,None,None,None,None,None,1.0
+kr-vs-k-three_vs_eleven,None,None,None,None,None,0.995
+kr-vs-k-zero-one_vs_draw,None,None,None,None,None,0.949
+shuttle-2_vs_5,None,None,None,None,None,0.996
+winequality-red-4,None,None,None,None,None,0.073
+yeast4,None,None,None,None,None,0.271
+yeast5,None,None,None,None,None,0.639
+yeast6,None,None,None,None,None,0.475
+Average,0.0,0.0,0.0,0.0,0.0,0.6086428571428572

+ 16 - 16
data_result/statistics/GB-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.331,0.333,0.278,0.213,0.232,0.291,0.291,0.31,0.311
-abalone9-18,0.382,0.384,0.338,0.398,0.389,0.367,0.318,0.343,0.318
-car_good,0.839,0.853,0.831,0.533,0.764,0.714,0.864,0.733,0.869
-car-vgood,0.938,0.973,0.982,0.812,0.974,0.933,0.982,0.951,0.982
-flare-F,0.285,0.133,0.183,0.326,0.166,0.139,0.181,0.162,0.156
-hypothyroid,0.781,0.788,0.808,0.748,0.809,0.789,0.8,0.789,0.815
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.987,1.0,1.0,0.995,1.0,0.996,1.0
-kr-vs-k-three_vs_eleven,0.995,0.995,0.995,0.751,0.994,0.995,0.995,0.992,0.995
-kr-vs-k-zero-one_vs_draw,0.944,0.96,0.964,0.638,0.947,0.959,0.972,0.96,0.961
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.994,1.0
-winequality-red-4,0.122,0.093,0.087,0.112,0.084,0.133,0.107,0.133,0.102
-yeast4,0.378,0.354,0.289,0.276,0.332,0.257,0.351,0.261,0.333
-yeast5,0.712,0.707,0.736,0.618,0.69,0.713,0.724,0.731,0.714
-yeast6,0.475,0.539,0.474,0.355,0.463,0.49,0.564,0.481,0.52
-Average,0.6558571428571429,0.6508571428571429,0.6394285714285715,0.5557142857142858,0.6317142857142856,0.6267857142857142,0.6535000000000001,0.6311428571428571,0.6482857142857144
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.331,0.333,0.278,0.213,0.232,0.291
+abalone9-18,0.382,0.384,0.338,0.398,0.389,0.318
+car_good,0.839,0.853,0.831,0.533,0.764,0.864
+car-vgood,0.938,0.973,0.982,0.812,0.974,0.982
+flare-F,0.285,0.133,0.183,0.326,0.166,0.181
+hypothyroid,0.781,0.788,0.808,0.748,0.809,0.8
+kddcup-guess_passwd_vs_satan,1.0,1.0,0.987,1.0,1.0,1.0
+kr-vs-k-three_vs_eleven,0.995,0.995,0.995,0.751,0.994,0.995
+kr-vs-k-zero-one_vs_draw,0.944,0.96,0.964,0.638,0.947,0.972
+shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0
+winequality-red-4,0.122,0.093,0.087,0.112,0.084,0.107
+yeast4,0.378,0.354,0.289,0.276,0.332,0.351
+yeast5,0.712,0.707,0.736,0.618,0.69,0.724
+yeast6,0.475,0.539,0.474,0.355,0.463,0.564
+Average,0.6558571428571429,0.6508571428571429,0.6394285714285715,0.5557142857142858,0.6317142857142856,0.6535000000000001

+ 16 - 16
data_result/statistics/GB-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.309,0.315,0.265,0.196,0.221,0.27,0.278,0.289,0.297
-abalone9-18,0.345,0.344,0.308,0.37,0.361,0.329,0.292,0.304,0.292
-car_good,0.831,0.847,0.824,0.504,0.756,0.705,0.858,0.723,0.864
-car-vgood,0.935,0.972,0.981,0.803,0.973,0.931,0.982,0.949,0.982
-flare-F,0.237,0.113,0.168,0.286,0.149,0.125,0.164,0.147,0.138
-hypothyroid,0.768,0.777,0.799,0.733,0.8,0.777,0.789,0.777,0.806
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.986,1.0,1.0,0.995,1.0,0.996,1.0
-kr-vs-k-three_vs_eleven,0.995,0.995,0.995,0.742,0.994,0.995,0.995,0.992,0.995
-kr-vs-k-zero-one_vs_draw,0.942,0.958,0.963,0.619,0.945,0.958,0.971,0.958,0.96
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.994,1.0
-winequality-red-4,0.088,0.065,0.077,0.086,0.065,0.095,0.066,0.095,0.063
-yeast4,0.35,0.331,0.274,0.248,0.317,0.242,0.329,0.245,0.311
-yeast5,0.703,0.698,0.728,0.604,0.682,0.705,0.716,0.723,0.705
-yeast6,0.461,0.529,0.465,0.336,0.453,0.481,0.554,0.472,0.51
-Average,0.6402857142857143,0.6388571428571429,0.6309285714285714,0.5376428571428572,0.6225714285714286,0.6148571428571428,0.6424285714285715,0.6188571428571429,0.6373571428571427
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.309,0.315,0.265,0.196,0.221,0.278
+abalone9-18,0.345,0.344,0.308,0.37,0.361,0.292
+car_good,0.831,0.847,0.824,0.504,0.756,0.858
+car-vgood,0.935,0.972,0.981,0.803,0.973,0.982
+flare-F,0.237,0.113,0.168,0.286,0.149,0.164
+hypothyroid,0.768,0.777,0.799,0.733,0.8,0.789
+kddcup-guess_passwd_vs_satan,1.0,1.0,0.986,1.0,1.0,1.0
+kr-vs-k-three_vs_eleven,0.995,0.995,0.995,0.742,0.994,0.995
+kr-vs-k-zero-one_vs_draw,0.942,0.958,0.963,0.619,0.945,0.971
+shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0
+winequality-red-4,0.088,0.065,0.077,0.086,0.065,0.066
+yeast4,0.35,0.331,0.274,0.248,0.317,0.329
+yeast5,0.703,0.698,0.728,0.604,0.682,0.716
+yeast6,0.461,0.529,0.465,0.336,0.453,0.554
+Average,0.6402857142857143,0.6388571428571429,0.6309285714285714,0.5376428571428572,0.6225714285714286,0.6424285714285715

+ 16 - 16
data_result/statistics/KNN-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.315,0.338,0.154,0.169,0.09,0.29,0.315,0.273,0.311
-abalone9-18,0.342,0.383,0.161,0.212,0.153,0.361,0.136,0.347,0.165
-car_good,0.357,0.72,0.465,0.22,0.375,0.558,0.509,0.534,0.585
-car-vgood,0.413,0.805,0.718,0.297,0.618,0.659,0.879,0.7,0.794
-flare-F,0.245,0.294,0.3,0.298,0.272,0.269,0.306,0.277,0.302
-hypothyroid,0.568,0.615,0.605,0.604,0.601,0.576,0.606,0.578,0.646
-kddcup-guess_passwd_vs_satan,0.991,0.991,0.991,0.991,0.991,0.982,0.991,0.985,0.991
-kr-vs-k-three_vs_eleven,0.901,0.931,0.945,0.648,0.819,0.895,0.961,0.894,0.925
-kr-vs-k-zero-one_vs_draw,0.84,0.885,0.864,0.721,0.795,0.864,0.897,0.865,0.853
-shuttle-2_vs_5,0.951,0.956,0.931,0.947,0.914,0.954,0.932,0.96,0.943
-winequality-red-4,0.069,0.074,0.037,0.046,0.045,0.074,0.058,0.074,0.059
-yeast4,0.329,0.365,0.363,0.319,0.254,0.334,0.348,0.338,0.345
-yeast5,0.67,0.691,0.677,0.583,0.678,0.65,0.646,0.64,0.659
-yeast6,0.409,0.464,0.406,0.397,0.424,0.337,0.426,0.334,0.39
-Average,0.5285714285714286,0.608,0.5440714285714285,0.4608571428571429,0.5020714285714286,0.5573571428571428,0.5721428571428572,0.5570714285714284,0.5691428571428571
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.315,0.338,0.154,0.169,0.09,0.315
+abalone9-18,0.342,0.383,0.161,0.212,0.153,0.136
+car_good,0.357,0.72,0.465,0.22,0.375,0.509
+car-vgood,0.413,0.805,0.718,0.297,0.618,0.879
+flare-F,0.245,0.294,0.3,0.298,0.272,0.306
+hypothyroid,0.568,0.615,0.605,0.604,0.601,0.606
+kddcup-guess_passwd_vs_satan,0.991,0.991,0.991,0.991,0.991,0.991
+kr-vs-k-three_vs_eleven,0.901,0.931,0.945,0.648,0.819,0.961
+kr-vs-k-zero-one_vs_draw,0.84,0.885,0.864,0.721,0.795,0.897
+shuttle-2_vs_5,0.951,0.956,0.931,0.947,0.914,0.932
+winequality-red-4,0.069,0.074,0.037,0.046,0.045,0.058
+yeast4,0.329,0.365,0.363,0.319,0.254,0.348
+yeast5,0.67,0.691,0.677,0.583,0.678,0.646
+yeast6,0.409,0.464,0.406,0.397,0.424,0.426
+Average,0.5285714285714286,0.608,0.5440714285714285,0.4608571428571429,0.5020714285714286,0.5721428571428572

+ 16 - 16
data_result/statistics/KNN-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.291,0.315,0.144,0.163,0.084,0.261,0.296,0.243,0.291
-abalone9-18,0.286,0.334,0.144,0.197,0.14,0.305,0.12,0.29,0.149
-car_good,0.312,0.707,0.439,0.16,0.332,0.531,0.479,0.505,0.561
-car-vgood,0.375,0.797,0.707,0.249,0.597,0.641,0.874,0.684,0.784
-flare-F,0.191,0.251,0.262,0.253,0.228,0.22,0.265,0.228,0.262
-hypothyroid,0.54,0.592,0.583,0.58,0.58,0.548,0.582,0.551,0.628
-kddcup-guess_passwd_vs_satan,0.991,0.991,0.991,0.991,0.991,0.982,0.991,0.985,0.991
-kr-vs-k-three_vs_eleven,0.898,0.928,0.943,0.634,0.813,0.891,0.96,0.89,0.923
-kr-vs-k-zero-one_vs_draw,0.833,0.881,0.859,0.708,0.786,0.858,0.892,0.859,0.847
-shuttle-2_vs_5,0.951,0.955,0.93,0.946,0.913,0.954,0.931,0.96,0.942
-winequality-red-4,0.016,0.022,0.013,0.002,-0.005,0.016,-0.001,0.016,0.0
-yeast4,0.293,0.335,0.34,0.29,0.218,0.296,0.313,0.301,0.309
-yeast5,0.657,0.679,0.667,0.565,0.667,0.636,0.631,0.624,0.645
-yeast6,0.387,0.447,0.386,0.375,0.405,0.311,0.406,0.308,0.367
-Average,0.5015000000000001,0.5881428571428572,0.5291428571428571,0.4366428571428571,0.4820714285714286,0.5321428571428571,0.5527857142857143,0.5317142857142857,0.5499285714285714
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.291,0.315,0.144,0.163,0.084,0.296
+abalone9-18,0.286,0.334,0.144,0.197,0.14,0.12
+car_good,0.312,0.707,0.439,0.16,0.332,0.479
+car-vgood,0.375,0.797,0.707,0.249,0.597,0.874
+flare-F,0.191,0.251,0.262,0.253,0.228,0.265
+hypothyroid,0.54,0.592,0.583,0.58,0.58,0.582
+kddcup-guess_passwd_vs_satan,0.991,0.991,0.991,0.991,0.991,0.991
+kr-vs-k-three_vs_eleven,0.898,0.928,0.943,0.634,0.813,0.96
+kr-vs-k-zero-one_vs_draw,0.833,0.881,0.859,0.708,0.786,0.892
+shuttle-2_vs_5,0.951,0.955,0.93,0.946,0.913,0.931
+winequality-red-4,0.016,0.022,0.013,0.002,-0.005,-0.001
+yeast4,0.293,0.335,0.34,0.29,0.218,0.313
+yeast5,0.657,0.679,0.667,0.565,0.667,0.631
+yeast6,0.387,0.447,0.386,0.375,0.405,0.406
+Average,0.5015000000000001,0.5881428571428572,0.5291428571428571,0.4366428571428571,0.4820714285714286,0.5527857142857143

+ 16 - 16
data_result/statistics/LR-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.275,0.336,0.336,0.182,0.186,0.292,0.337,0.292,0.344
-abalone9-18,0.458,0.566,0.514,0.341,0.517,0.538,0.575,0.541,0.574
-car_good,0.106,0.1,0.112,0.109,0.108,0.108,0.109,0.107,0.11
-car-vgood,0.362,0.394,0.336,0.325,0.379,0.373,0.422,0.377,0.4
-flare-F,0.263,0.278,0.322,0.321,0.342,0.273,0.323,0.276,0.317
-hypothyroid,0.358,0.4,0.297,0.294,0.223,0.363,0.378,0.36,0.429
-kddcup-guess_passwd_vs_satan,0.997,0.996,0.997,0.998,0.997,0.989,0.995,0.994,0.998
-kr-vs-k-three_vs_eleven,0.942,0.965,0.96,0.576,0.699,0.952,0.965,0.948,0.963
-kr-vs-k-zero-one_vs_draw,0.65,0.744,0.796,0.398,0.735,0.7,0.836,0.71,0.761
-shuttle-2_vs_5,0.998,0.996,0.99,0.98,0.987,0.994,0.996,0.989,0.992
-winequality-red-4,0.113,0.143,0.017,0.109,0.144,0.13,0.135,0.126,0.131
-yeast4,0.236,0.247,0.271,0.23,0.284,0.254,0.277,0.249,0.276
-yeast5,0.574,0.592,0.551,0.51,0.614,0.582,0.62,0.577,0.601
-yeast6,0.242,0.292,0.393,0.272,0.375,0.295,0.353,0.29,0.316
-Average,0.46957142857142864,0.5035,0.4922857142857143,0.4032142857142858,0.4707142857142857,0.4887857142857142,0.5229285714285714,0.4882857142857143,0.5151428571428571
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.275,0.336,0.336,0.182,0.186,0.337
+abalone9-18,0.458,0.566,0.514,0.341,0.517,0.575
+car_good,0.106,0.1,0.112,0.109,0.108,0.109
+car-vgood,0.362,0.394,0.336,0.325,0.379,0.422
+flare-F,0.263,0.278,0.322,0.321,0.342,0.323
+hypothyroid,0.358,0.4,0.297,0.294,0.223,0.378
+kddcup-guess_passwd_vs_satan,0.997,0.996,0.997,0.998,0.997,0.995
+kr-vs-k-three_vs_eleven,0.942,0.965,0.96,0.576,0.699,0.965
+kr-vs-k-zero-one_vs_draw,0.65,0.744,0.796,0.398,0.735,0.836
+shuttle-2_vs_5,0.998,0.996,0.99,0.98,0.987,0.996
+winequality-red-4,0.113,0.143,0.017,0.109,0.144,0.135
+yeast4,0.236,0.247,0.271,0.23,0.284,0.277
+yeast5,0.574,0.592,0.551,0.51,0.614,0.62
+yeast6,0.242,0.292,0.393,0.272,0.375,0.353
+Average,0.46957142857142864,0.5035,0.4922857142857143,0.4032142857142858,0.4707142857142857,0.5229285714285714

+ 16 - 16
data_result/statistics/LR-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.244,0.309,0.317,0.152,0.151,0.262,0.31,0.261,0.318
-abalone9-18,0.409,0.534,0.481,0.296,0.479,0.5,0.544,0.503,0.543
-car_good,0.035,0.028,0.043,0.038,0.037,0.038,0.038,0.036,0.039
-car-vgood,0.32,0.356,0.304,0.279,0.342,0.332,0.387,0.337,0.362
-flare-F,0.21,0.228,0.287,0.277,0.301,0.223,0.279,0.226,0.274
-hypothyroid,0.305,0.353,0.275,0.234,0.175,0.312,0.328,0.308,0.386
-kddcup-guess_passwd_vs_satan,0.996,0.996,0.996,0.998,0.996,0.989,0.995,0.994,0.998
-kr-vs-k-three_vs_eleven,0.941,0.964,0.959,0.559,0.687,0.951,0.965,0.947,0.962
-kr-vs-k-zero-one_vs_draw,0.632,0.732,0.788,0.361,0.723,0.686,0.83,0.696,0.75
-shuttle-2_vs_5,0.998,0.996,0.99,0.98,0.986,0.994,0.996,0.989,0.992
-winequality-red-4,0.056,0.09,0.011,0.059,0.097,0.075,0.08,0.071,0.076
-yeast4,0.188,0.202,0.256,0.188,0.257,0.209,0.235,0.204,0.234
-yeast5,0.555,0.575,0.539,0.489,0.6,0.564,0.604,0.559,0.584
-yeast6,0.21,0.263,0.382,0.242,0.353,0.266,0.328,0.261,0.289
-Average,0.4356428571428571,0.4732857142857143,0.4734285714285714,0.36799999999999994,0.44171428571428567,0.4572142857142857,0.49421428571428583,0.4565714285714285,0.4862142857142856
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.244,0.309,0.317,0.152,0.151,0.31
+abalone9-18,0.409,0.534,0.481,0.296,0.479,0.544
+car_good,0.035,0.028,0.043,0.038,0.037,0.038
+car-vgood,0.32,0.356,0.304,0.279,0.342,0.387
+flare-F,0.21,0.228,0.287,0.277,0.301,0.279
+hypothyroid,0.305,0.353,0.275,0.234,0.175,0.328
+kddcup-guess_passwd_vs_satan,0.996,0.996,0.996,0.998,0.996,0.995
+kr-vs-k-three_vs_eleven,0.941,0.964,0.959,0.559,0.687,0.965
+kr-vs-k-zero-one_vs_draw,0.632,0.732,0.788,0.361,0.723,0.83
+shuttle-2_vs_5,0.998,0.996,0.99,0.98,0.986,0.996
+winequality-red-4,0.056,0.09,0.011,0.059,0.097,0.08
+yeast4,0.188,0.202,0.256,0.188,0.257,0.235
+yeast5,0.555,0.575,0.539,0.489,0.6,0.604
+yeast6,0.21,0.263,0.382,0.242,0.353,0.328
+Average,0.4356428571428571,0.4732857142857143,0.4734285714285714,0.36799999999999994,0.44171428571428567,0.49421428571428583

+ 16 - 16
data_result/statistics/RF-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.189,0.188,0.185,0.236,0.115,0.234,0.28,0.253,0.283
-abalone9-18,0.311,0.338,0.309,0.398,0.252,0.324,0.348,0.335,0.359
-car_good,0.9,0.557,0.672,0.533,0.669,0.634,0.659,0.655,0.647
-car-vgood,0.982,0.904,0.924,0.812,0.944,0.91,0.929,0.904,0.921
-flare-F,0.224,0.08,0.11,0.261,0.091,0.062,0.12,0.064,0.133
-hypothyroid,0.796,0.737,0.785,0.764,0.779,0.782,0.798,0.791,0.796
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.993,1.0,1.0,1.0,1.0,1.0,1.0
-kr-vs-k-three_vs_eleven,0.999,0.993,0.995,0.791,0.997,0.993,0.992,0.993,0.992
-kr-vs-k-zero-one_vs_draw,0.945,0.939,0.938,0.703,0.938,0.941,0.946,0.937,0.949
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
-winequality-red-4,0.014,0.0,0.026,0.132,0.007,0.079,0.086,0.067,0.07
-yeast4,0.295,0.329,0.252,0.353,0.253,0.251,0.321,0.238,0.314
-yeast5,0.736,0.705,0.7,0.651,0.665,0.691,0.738,0.705,0.727
-yeast6,0.516,0.551,0.478,0.381,0.459,0.498,0.575,0.51,0.51
-Average,0.6362142857142857,0.5943571428571428,0.597642857142857,0.5725,0.5835,0.5999285714285714,0.628,0.6037142857142859,0.6215
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.189,0.188,0.185,0.236,0.115,0.28
+abalone9-18,0.311,0.338,0.309,0.398,0.252,0.348
+car_good,0.9,0.557,0.672,0.533,0.669,0.659
+car-vgood,0.982,0.904,0.924,0.812,0.944,0.929
+flare-F,0.224,0.08,0.11,0.261,0.091,0.12
+hypothyroid,0.796,0.737,0.785,0.764,0.779,0.798
+kddcup-guess_passwd_vs_satan,1.0,1.0,0.993,1.0,1.0,1.0
+kr-vs-k-three_vs_eleven,0.999,0.993,0.995,0.791,0.997,0.992
+kr-vs-k-zero-one_vs_draw,0.945,0.939,0.938,0.703,0.938,0.946
+shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0
+winequality-red-4,0.014,0.0,0.026,0.132,0.007,0.086
+yeast4,0.295,0.329,0.252,0.353,0.253,0.321
+yeast5,0.736,0.705,0.7,0.651,0.665,0.738
+yeast6,0.516,0.551,0.478,0.381,0.459,0.575
+Average,0.6362142857142857,0.5943571428571428,0.597642857142857,0.5725,0.5835,0.628

+ 16 - 16
data_result/statistics/RF-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,ctGAN,CTAB-GAN,ConvGeN-majority-5,ConvGeN-majority-full,ConvGeN-proximity-5,ConvGeN-proximity-full
-abalone_17_vs_7_8_9_10,0.18,0.179,0.175,0.219,0.109,0.222,0.268,0.24,0.27
-abalone9-18,0.288,0.311,0.287,0.366,0.235,0.291,0.326,0.302,0.337
-car_good,0.896,0.548,0.664,0.504,0.66,0.624,0.65,0.646,0.638
-car-vgood,0.982,0.901,0.921,0.803,0.942,0.907,0.927,0.901,0.918
-flare-F,0.18,0.059,0.091,0.214,0.071,0.043,0.099,0.044,0.113
-hypothyroid,0.787,0.726,0.775,0.75,0.769,0.772,0.788,0.781,0.786
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.992,1.0,1.0,1.0,1.0,1.0,1.0
-kr-vs-k-three_vs_eleven,0.999,0.993,0.995,0.784,0.997,0.993,0.992,0.993,0.992
-kr-vs-k-zero-one_vs_draw,0.943,0.936,0.935,0.688,0.936,0.939,0.944,0.935,0.947
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
-winequality-red-4,0.009,-0.008,0.023,0.102,-0.0,0.062,0.055,0.05,0.041
-yeast4,0.282,0.314,0.242,0.325,0.242,0.24,0.304,0.228,0.298
-yeast5,0.728,0.697,0.692,0.638,0.656,0.684,0.73,0.698,0.718
-yeast6,0.507,0.543,0.47,0.362,0.452,0.49,0.567,0.503,0.501
-Average,0.6272142857142857,0.5856428571428571,0.5901428571428571,0.5539285714285714,0.5763571428571429,0.5905000000000001,0.6178571428571429,0.5943571428571428,0.6113571428571428
+dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10,0.18,0.179,0.175,0.219,0.109,0.268
+abalone9-18,0.288,0.311,0.287,0.366,0.235,0.326
+car_good,0.896,0.548,0.664,0.504,0.66,0.65
+car-vgood,0.982,0.901,0.921,0.803,0.942,0.927
+flare-F,0.18,0.059,0.091,0.214,0.071,0.099
+hypothyroid,0.787,0.726,0.775,0.75,0.769,0.788
+kddcup-guess_passwd_vs_satan,1.0,1.0,0.992,1.0,1.0,1.0
+kr-vs-k-three_vs_eleven,0.999,0.993,0.995,0.784,0.997,0.992
+kr-vs-k-zero-one_vs_draw,0.943,0.936,0.935,0.688,0.936,0.944
+shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0
+winequality-red-4,0.009,-0.008,0.023,0.102,-0.0,0.055
+yeast4,0.282,0.314,0.242,0.325,0.242,0.304
+yeast5,0.728,0.697,0.692,0.638,0.656,0.73
+yeast6,0.507,0.543,0.47,0.362,0.452,0.567
+Average,0.6272142857142857,0.5856428571428571,0.5901428571428571,0.5539285714285714,0.5763571428571429,0.6178571428571429

+ 11 - 11
data_result/statistics/Tables.tex

@@ -3,7 +3,7 @@
 
 \begin{table*}[ht]\scriptsize\caption{LR (1)}\label{tab:results:LR:A}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{ctGAN} & \textbf{CTAB GAN}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
 \tabularnewline
 \hline
 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 
@@ -41,7 +41,7 @@ yeast6 &  0.242  /  0.210  &  0.292  /  0.263  &  \textbf{0.393}  /  \textbf{0.3
 
 \begin{table*}[ht]\scriptsize\caption{LR (2)}\label{tab:results:LR:B}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN majority 5} & \textbf{ConvGeN majority full} & \textbf{ConvGeN proximity 5} & \textbf{ConvGeN proximity full}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
 \tabularnewline
 \hline
 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} 
@@ -81,7 +81,7 @@ yeast6 &  0.295  /  0.266  &  0.353  /  0.328  &  0.290  /  0.261  &  0.316  /
 
 \begin{table*}[ht]\scriptsize\caption{RF (1)}\label{tab:results:RF:A}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{ctGAN} & \textbf{CTAB GAN}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
 \tabularnewline
 \hline
 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 
@@ -119,7 +119,7 @@ yeast6 &  0.516  /  0.507  &  0.551  /  0.543  &  0.478  /  0.470  &  0.381  /
 
 \begin{table*}[ht]\scriptsize\caption{RF (2)}\label{tab:results:RF:B}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN majority 5} & \textbf{ConvGeN majority full} & \textbf{ConvGeN proximity 5} & \textbf{ConvGeN proximity full}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
 \tabularnewline
 \hline
 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} 
@@ -159,7 +159,7 @@ yeast6 &  0.498  /  0.490  &  \textbf{0.575}  /  \textbf{0.567}  &  0.510  /  0.
 
 \begin{table*}[ht]\scriptsize\caption{GB (1)}\label{tab:results:GB:A}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{ctGAN} & \textbf{CTAB GAN}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
 \tabularnewline
 \hline
 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 
@@ -197,7 +197,7 @@ yeast6 &  0.475  /  0.461  &  0.539  /  0.529  &  0.474  /  0.465  &  0.355  /
 
 \begin{table*}[ht]\scriptsize\caption{GB (2)}\label{tab:results:GB:B}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN majority 5} & \textbf{ConvGeN majority full} & \textbf{ConvGeN proximity 5} & \textbf{ConvGeN proximity full}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
 \tabularnewline
 \hline
 abalone 17 vs 7 8 9 10 &  0.291  /  0.270  &  0.291  /  0.278  &  0.310  /  0.289  &  0.311  /  0.297 
@@ -237,7 +237,7 @@ yeast6 &  0.490  /  0.481  &  \textbf{0.564}  /  \textbf{0.554}  &  0.481  /  0.
 
 \begin{table*}[ht]\scriptsize\caption{KNN (1)}\label{tab:results:KNN:A}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{ctGAN} & \textbf{CTAB GAN}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{Repeater} & \textbf{ProWRAS} & \textbf{GAN} & \textbf{CTGAN} & \textbf{CTAB GAN}
 \tabularnewline
 \hline
 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 
@@ -275,7 +275,7 @@ yeast6 &  0.409  /  0.387  &  \textbf{0.464}  /  \textbf{0.447}  &  0.406  /  0.
 
 \begin{table*}[ht]\scriptsize\caption{KNN (2)}\label{tab:results:KNN:B}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN majority 5} & \textbf{ConvGeN majority full} & \textbf{ConvGeN proximity 5} & \textbf{ConvGeN proximity full}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
 \tabularnewline
 \hline
 abalone 17 vs 7 8 9 10 &  0.290  /  0.261  &  0.315  /  0.296  &  0.273  /  0.243  &  0.311  /  0.291 
@@ -311,11 +311,11 @@ yeast6 &  0.337  /  0.311  &  0.426  /  0.406  &  0.334  /  0.308  &  0.390  /
 \hline\end{tabular}\end{table*}
 
 
-% ### DoG
+% ### DoC
 
-\begin{table*}[ht]\scriptsize\caption{DoG}\label{tab:results:DoG:A}\centering\tabularnewline
+\begin{table*}[ht]\scriptsize\caption{DoC}\label{tab:results:DoC:A}\centering\tabularnewline
 \begin{tabular}{l|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}|@{\hskip3pt}c@{\hskip3pt}}\hline
-\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN majority 5} & \textbf{ConvGeN majority full} & \textbf{ConvGeN proximity 5} & \textbf{ConvGeN proximity full}
+\textbf{dataset ($f_1~$score$~/~\kappa~$score)} & \textbf{ConvGeN(5,maj)} & \textbf{ConvGeN(min,maj)} & \textbf{ConvGeN(5,prox)} & \textbf{ConvGeN(min,prox)}
 \tabularnewline
 \hline
 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 

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