Updated tables and added tables only for ConvGeN.

data_result/statistics/DoC-f1.csv

@@ -1,16 +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
+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

data_result/statistics/DoC-kappa.csv

@@ -1,16 +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
+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

data_result/statistics/GB-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.333,0.323,0.202,0.234,0.204,0.291
-abalone9-18,0.383,0.399,0.344,0.396,0.343,0.318
-car_good,0.839,0.849,0.849,0.533,0.84,0.864
-car-vgood,0.938,0.971,0.978,0.812,0.98,0.982
-flare-F,0.285,0.132,0.231,0.315,0.225,0.181
-hypothyroid,0.781,0.795,0.808,0.774,0.81,0.8
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.986,1.0,1.0,1.0
-kr-vs-k-three_vs_eleven,0.995,0.995,0.995,0.95,0.995,0.995
-kr-vs-k-zero-one_vs_draw,0.944,0.959,0.959,0.825,0.955,0.972
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,0.989,1.0
-winequality-red-4,0.127,0.099,0.066,0.13,0.128,0.107
-yeast4,0.377,0.371,0.275,0.246,0.308,0.351
-yeast5,0.714,0.69,0.746,0.617,0.716,0.724
-yeast6,0.473,0.569,0.494,0.432,0.526,0.564
-Average,0.656357142857143,0.6537142857142856,0.6380714285714285,0.5902857142857142,0.6442142857142857,0.6535000000000001
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.333;0.323;0.202;0.234;0.204;0.291
+abalone9-18;0.383;0.399;0.344;0.396;0.343;0.318
+car_good;0.839;0.849;0.849;0.533;0.84;0.864
+car-vgood;0.938;0.971;0.978;0.812;0.98;0.982
+flare-F;0.285;0.132;0.231;0.315;0.225;0.181
+hypothyroid;0.781;0.795;0.808;0.774;0.81;0.8
+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;0.95;0.995;0.995
+kr-vs-k-zero-one_vs_draw;0.944;0.959;0.959;0.825;0.955;0.972
+shuttle-2_vs_5;1.0;1.0;1.0;1.0;0.989;1.0
+winequality-red-4;0.127;0.099;0.066;0.13;0.128;0.107
+yeast4;0.377;0.371;0.275;0.246;0.308;0.351
+yeast5;0.714;0.69;0.746;0.617;0.716;0.724
+yeast6;0.473;0.569;0.494;0.432;0.526;0.564
+Average;0.656357142857143;0.6537142857142856;0.6380714285714285;0.5902857142857142;0.6442142857142857;0.6535000000000001

data_result/statistics/GB-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.312,0.304,0.194,0.219,0.198,0.278
-abalone9-18,0.346,0.362,0.319,0.362,0.32,0.292
-car_good,0.831,0.843,0.843,0.504,0.834,0.858
-car-vgood,0.935,0.97,0.977,0.803,0.979,0.982
-flare-F,0.237,0.111,0.214,0.268,0.208,0.164
-hypothyroid,0.768,0.785,0.799,0.76,0.801,0.789
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.986,1.0,1.0,1.0
-kr-vs-k-three_vs_eleven,0.995,0.995,0.995,0.949,0.995,0.995
-kr-vs-k-zero-one_vs_draw,0.942,0.958,0.958,0.818,0.953,0.971
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,0.989,1.0
-winequality-red-4,0.094,0.073,0.054,0.104,0.086,0.066
-yeast4,0.349,0.349,0.26,0.218,0.293,0.329
-yeast5,0.705,0.68,0.739,0.603,0.707,0.716
-yeast6,0.458,0.559,0.484,0.417,0.517,0.554
-Average,0.6408571428571429,0.6420714285714286,0.6301428571428572,0.5732142857142856,0.6342857142857143,0.6424285714285715
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.312;0.304;0.194;0.219;0.198;0.278
+abalone9-18;0.346;0.362;0.319;0.362;0.32;0.292
+car_good;0.831;0.843;0.843;0.504;0.834;0.858
+car-vgood;0.935;0.97;0.977;0.803;0.979;0.982
+flare-F;0.237;0.111;0.214;0.268;0.208;0.164
+hypothyroid;0.768;0.785;0.799;0.76;0.801;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;0.949;0.995;0.995
+kr-vs-k-zero-one_vs_draw;0.942;0.958;0.958;0.818;0.953;0.971
+shuttle-2_vs_5;1.0;1.0;1.0;1.0;0.989;1.0
+winequality-red-4;0.094;0.073;0.054;0.104;0.086;0.066
+yeast4;0.349;0.349;0.26;0.218;0.293;0.329
+yeast5;0.705;0.68;0.739;0.603;0.707;0.716
+yeast6;0.458;0.559;0.484;0.417;0.517;0.554
+Average;0.6408571428571429;0.6420714285714286;0.6301428571428572;0.5732142857142856;0.6342857142857143;0.6424285714285715

data_result/statistics/KNN-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.315,0.336,0.272,0.18,0.28,0.315
-abalone9-18,0.342,0.386,0.258,0.276,0.338,0.136
-car_good,0.357,0.72,0.427,0.229,0.433,0.509
-car-vgood,0.413,0.805,0.653,0.322,0.595,0.879
-flare-F,0.245,0.293,0.27,0.267,0.293,0.306
-hypothyroid,0.568,0.615,0.573,0.618,0.565,0.606
-kddcup-guess_passwd_vs_satan,0.991,0.991,0.991,0.991,0.991,0.991
-kr-vs-k-three_vs_eleven,0.901,0.932,0.903,0.804,0.807,0.961
-kr-vs-k-zero-one_vs_draw,0.84,0.885,0.828,0.767,0.786,0.897
-shuttle-2_vs_5,0.951,0.956,0.936,0.951,0.949,0.932
-winequality-red-4,0.069,0.072,0.085,0.047,0.057,0.058
-yeast4,0.329,0.363,0.332,0.304,0.313,0.348
-yeast5,0.67,0.691,0.598,0.542,0.507,0.646
-yeast6,0.409,0.463,0.363,0.383,0.304,0.426
-Average,0.5285714285714286,0.6077142857142858,0.5349285714285715,0.4772142857142857,0.5155714285714287,0.5721428571428572
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.315;0.336;0.272;0.18;0.28;0.315
+abalone9-18;0.342;0.386;0.258;0.276;0.338;0.136
+car_good;0.357;0.72;0.427;0.229;0.433;0.509
+car-vgood;0.413;0.805;0.653;0.322;0.595;0.879
+flare-F;0.245;0.293;0.27;0.267;0.293;0.306
+hypothyroid;0.568;0.615;0.573;0.618;0.565;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;0.932;0.903;0.804;0.807;0.961
+kr-vs-k-zero-one_vs_draw;0.84;0.885;0.828;0.767;0.786;0.897
+shuttle-2_vs_5;0.951;0.956;0.936;0.951;0.949;0.932
+winequality-red-4;0.069;0.072;0.085;0.047;0.057;0.058
+yeast4;0.329;0.363;0.332;0.304;0.313;0.348
+yeast5;0.67;0.691;0.598;0.542;0.507;0.646
+yeast6;0.409;0.463;0.363;0.383;0.304;0.426
+Average;0.5285714285714286;0.6077142857142858;0.5349285714285715;0.4772142857142857;0.5155714285714287;0.5721428571428572

data_result/statistics/KNN-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.291,0.313,0.243,0.173,0.268,0.296
-abalone9-18,0.286,0.338,0.197,0.256,0.313,0.12
-car_good,0.312,0.707,0.394,0.171,0.395,0.479
-car-vgood,0.375,0.797,0.634,0.277,0.572,0.874
-flare-F,0.191,0.249,0.228,0.214,0.246,0.265
-hypothyroid,0.54,0.592,0.547,0.595,0.537,0.582
-kddcup-guess_passwd_vs_satan,0.991,0.991,0.991,0.991,0.991,0.991
-kr-vs-k-three_vs_eleven,0.898,0.929,0.9,0.797,0.801,0.96
-kr-vs-k-zero-one_vs_draw,0.833,0.88,0.821,0.756,0.776,0.892
-shuttle-2_vs_5,0.951,0.955,0.935,0.951,0.948,0.931
-winequality-red-4,0.016,0.02,0.028,0.001,0.003,-0.001
-yeast4,0.293,0.332,0.294,0.267,0.273,0.313
-yeast5,0.657,0.679,0.581,0.522,0.484,0.631
-yeast6,0.387,0.445,0.339,0.36,0.276,0.406
-Average,0.5015000000000001,0.5876428571428571,0.5094285714285715,0.4522142857142858,0.4916428571428571,0.5527857142857143
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.291;0.313;0.243;0.173;0.268;0.296
+abalone9-18;0.286;0.338;0.197;0.256;0.313;0.12
+car_good;0.312;0.707;0.394;0.171;0.395;0.479
+car-vgood;0.375;0.797;0.634;0.277;0.572;0.874
+flare-F;0.191;0.249;0.228;0.214;0.246;0.265
+hypothyroid;0.54;0.592;0.547;0.595;0.537;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;0.929;0.9;0.797;0.801;0.96
+kr-vs-k-zero-one_vs_draw;0.833;0.88;0.821;0.756;0.776;0.892
+shuttle-2_vs_5;0.951;0.955;0.935;0.951;0.948;0.931
+winequality-red-4;0.016;0.02;0.028;0.001;0.003;-0.001
+yeast4;0.293;0.332;0.294;0.267;0.273;0.313
+yeast5;0.657;0.679;0.581;0.522;0.484;0.631
+yeast6;0.387;0.445;0.339;0.36;0.276;0.406
+Average;0.5015000000000001;0.5876428571428571;0.5094285714285715;0.4522142857142858;0.4916428571428571;0.5527857142857143

data_result/statistics/LR-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.275,0.337,0.304,0.221,0.2,0.337
-abalone9-18,0.458,0.57,0.462,0.341,0.389,0.575
-car_good,0.106,0.1,0.162,0.106,0.109,0.109
-car-vgood,0.362,0.392,0.377,0.331,0.354,0.422
-flare-F,0.263,0.278,0.272,0.287,0.293,0.323
-hypothyroid,0.358,0.399,0.393,0.311,0.317,0.378
-kddcup-guess_passwd_vs_satan,0.997,0.996,0.981,1.0,1.0,0.995
-kr-vs-k-three_vs_eleven,0.942,0.965,0.964,0.785,0.848,0.965
-kr-vs-k-zero-one_vs_draw,0.65,0.745,0.725,0.575,0.583,0.836
-shuttle-2_vs_5,0.998,0.996,1.0,0.984,0.967,0.996
-winequality-red-4,0.113,0.143,0.077,0.127,0.109,0.135
-yeast4,0.236,0.243,0.307,0.216,0.227,0.277
-yeast5,0.574,0.591,0.595,0.522,0.511,0.62
-yeast6,0.242,0.294,0.375,0.317,0.242,0.353
-Average,0.46957142857142864,0.5035000000000001,0.49957142857142856,0.4373571428571429,0.4392142857142857,0.5229285714285714
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.275;0.337;0.304;0.221;0.2;0.337
+abalone9-18;0.458;0.57;0.462;0.341;0.389;0.575
+car_good;0.106;0.1;0.162;0.106;0.109;0.109
+car-vgood;0.362;0.392;0.377;0.331;0.354;0.422
+flare-F;0.263;0.278;0.272;0.287;0.293;0.323
+hypothyroid;0.358;0.399;0.393;0.311;0.317;0.378
+kddcup-guess_passwd_vs_satan;0.997;0.996;0.981;1.0;1.0;0.995
+kr-vs-k-three_vs_eleven;0.942;0.965;0.964;0.785;0.848;0.965
+kr-vs-k-zero-one_vs_draw;0.65;0.745;0.725;0.575;0.583;0.836
+shuttle-2_vs_5;0.998;0.996;1.0;0.984;0.967;0.996
+winequality-red-4;0.113;0.143;0.077;0.127;0.109;0.135
+yeast4;0.236;0.243;0.307;0.216;0.227;0.277
+yeast5;0.574;0.591;0.595;0.522;0.511;0.62
+yeast6;0.242;0.294;0.375;0.317;0.242;0.353
+Average;0.46957142857142864;0.5035000000000001;0.49957142857142856;0.4373571428571429;0.4392142857142857;0.5229285714285714

data_result/statistics/LR-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.244,0.311,0.276,0.191,0.164,0.31
-abalone9-18,0.409,0.538,0.418,0.288,0.332,0.544
-car_good,0.035,0.029,0.101,0.035,0.038,0.038
-car-vgood,0.32,0.354,0.337,0.287,0.311,0.387
-flare-F,0.21,0.228,0.223,0.236,0.244,0.279
-hypothyroid,0.305,0.352,0.37,0.252,0.26,0.328
-kddcup-guess_passwd_vs_satan,0.996,0.996,0.98,1.0,1.0,0.995
-kr-vs-k-three_vs_eleven,0.941,0.964,0.964,0.777,0.843,0.965
-kr-vs-k-zero-one_vs_draw,0.632,0.733,0.712,0.552,0.561,0.83
-shuttle-2_vs_5,0.998,0.996,1.0,0.984,0.967,0.996
-winequality-red-4,0.056,0.09,0.044,0.08,0.051,0.08
-yeast4,0.188,0.197,0.269,0.168,0.178,0.235
-yeast5,0.555,0.574,0.577,0.5,0.488,0.604
-yeast6,0.21,0.265,0.351,0.29,0.21,0.328
-Average,0.4356428571428571,0.47335714285714275,0.473,0.4028571428571429,0.4033571428571428,0.49421428571428583
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.244;0.311;0.276;0.191;0.164;0.31
+abalone9-18;0.409;0.538;0.418;0.288;0.332;0.544
+car_good;0.035;0.029;0.101;0.035;0.038;0.038
+car-vgood;0.32;0.354;0.337;0.287;0.311;0.387
+flare-F;0.21;0.228;0.223;0.236;0.244;0.279
+hypothyroid;0.305;0.352;0.37;0.252;0.26;0.328
+kddcup-guess_passwd_vs_satan;0.996;0.996;0.98;1.0;1.0;0.995
+kr-vs-k-three_vs_eleven;0.941;0.964;0.964;0.777;0.843;0.965
+kr-vs-k-zero-one_vs_draw;0.632;0.733;0.712;0.552;0.561;0.83
+shuttle-2_vs_5;0.998;0.996;1.0;0.984;0.967;0.996
+winequality-red-4;0.056;0.09;0.044;0.08;0.051;0.08
+yeast4;0.188;0.197;0.269;0.168;0.178;0.235
+yeast5;0.555;0.574;0.577;0.5;0.488;0.604
+yeast6;0.21;0.265;0.351;0.29;0.21;0.328
+Average;0.4356428571428571;0.47335714285714275;0.473;0.4028571428571429;0.4033571428571428;0.49421428571428583

data_result/statistics/RF-f1.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.19,0.169,0.256,0.239,0.329,0.28
-abalone9-18,0.322,0.367,0.319,0.395,0.376,0.348
-car_good,0.899,0.581,0.772,0.533,0.804,0.659
-car-vgood,0.985,0.914,0.949,0.812,0.959,0.929
-flare-F,0.222,0.095,0.127,0.294,0.121,0.12
-hypothyroid,0.8,0.725,0.777,0.774,0.777,0.798
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.994,1.0,1.0,1.0
-kr-vs-k-three_vs_eleven,1.0,0.991,0.992,0.95,0.995,0.992
-kr-vs-k-zero-one_vs_draw,0.946,0.939,0.947,0.843,0.937,0.946
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0
-winequality-red-4,0.014,0.005,0.024,0.153,0.173,0.086
-yeast4,0.32,0.329,0.284,0.284,0.311,0.321
-yeast5,0.72,0.706,0.758,0.647,0.74,0.738
-yeast6,0.518,0.57,0.493,0.453,0.53,0.575
-Average,0.6382857142857145,0.5993571428571428,0.6208571428571429,0.5983571428571429,0.6465714285714286,0.628
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.19;0.169;0.256;0.239;0.329;0.28
+abalone9-18;0.322;0.367;0.319;0.395;0.376;0.348
+car_good;0.899;0.581;0.772;0.533;0.804;0.659
+car-vgood;0.985;0.914;0.949;0.812;0.959;0.929
+flare-F;0.222;0.095;0.127;0.294;0.121;0.12
+hypothyroid;0.8;0.725;0.777;0.774;0.777;0.798
+kddcup-guess_passwd_vs_satan;1.0;1.0;0.994;1.0;1.0;1.0
+kr-vs-k-three_vs_eleven;1.0;0.991;0.992;0.95;0.995;0.992
+kr-vs-k-zero-one_vs_draw;0.946;0.939;0.947;0.843;0.937;0.946
+shuttle-2_vs_5;1.0;1.0;1.0;1.0;1.0;1.0
+winequality-red-4;0.014;0.005;0.024;0.153;0.173;0.086
+yeast4;0.32;0.329;0.284;0.284;0.311;0.321
+yeast5;0.72;0.706;0.758;0.647;0.74;0.738
+yeast6;0.518;0.57;0.493;0.453;0.53;0.575
+Average;0.6382857142857145;0.5993571428571428;0.6208571428571429;0.5983571428571429;0.6465714285714286;0.628

data_result/statistics/RF-kappa.csv

@@ -1,16 +1,16 @@
-dataset,Repeater,ProWRAS,GAN,CTGAN,CTAB-GAN,ConvGeN(min,maj)
-abalone_17_vs_7_8_9_10,0.18,0.161,0.242,0.22,0.31,0.268
-abalone9-18,0.297,0.34,0.286,0.359,0.333,0.326
-car_good,0.895,0.572,0.765,0.504,0.798,0.65
-car-vgood,0.984,0.911,0.947,0.803,0.957,0.927
-flare-F,0.178,0.074,0.107,0.245,0.102,0.099
-hypothyroid,0.791,0.714,0.767,0.76,0.767,0.788
-kddcup-guess_passwd_vs_satan,1.0,1.0,0.994,1.0,1.0,1.0
-kr-vs-k-three_vs_eleven,1.0,0.991,0.992,0.948,0.995,0.992
-kr-vs-k-zero-one_vs_draw,0.944,0.936,0.945,0.836,0.935,0.944
-shuttle-2_vs_5,1.0,1.0,1.0,1.0,1.0,1.0
-winequality-red-4,0.009,-0.002,0.018,0.125,0.133,0.055
-yeast4,0.306,0.313,0.272,0.252,0.3,0.304
-yeast5,0.712,0.698,0.751,0.634,0.733,0.73
-yeast6,0.508,0.562,0.485,0.437,0.522,0.567
-Average,0.6288571428571428,0.5907142857142856,0.6122142857142857,0.5802142857142858,0.6346428571428572,0.6178571428571429
+dataset;Repeater;ProWRAS;GAN;CTGAN;CTAB-GAN;ConvGeN(min,maj)
+abalone_17_vs_7_8_9_10;0.18;0.161;0.242;0.22;0.31;0.268
+abalone9-18;0.297;0.34;0.286;0.359;0.333;0.326
+car_good;0.895;0.572;0.765;0.504;0.798;0.65
+car-vgood;0.984;0.911;0.947;0.803;0.957;0.927
+flare-F;0.178;0.074;0.107;0.245;0.102;0.099
+hypothyroid;0.791;0.714;0.767;0.76;0.767;0.788
+kddcup-guess_passwd_vs_satan;1.0;1.0;0.994;1.0;1.0;1.0
+kr-vs-k-three_vs_eleven;1.0;0.991;0.992;0.948;0.995;0.992
+kr-vs-k-zero-one_vs_draw;0.944;0.936;0.945;0.836;0.935;0.944
+shuttle-2_vs_5;1.0;1.0;1.0;1.0;1.0;1.0
+winequality-red-4;0.009;-0.002;0.018;0.125;0.133;0.055
+yeast4;0.306;0.313;0.272;0.252;0.3;0.304
+yeast5;0.712;0.698;0.751;0.634;0.733;0.73
+yeast6;0.508;0.562;0.485;0.437;0.522;0.567
+Average;0.6288571428571428;0.5907142857142856;0.6122142857142857;0.5802142857142858;0.6346428571428572;0.6178571428571429

data_result/statistics/Tables.tex

@@ -161,40 +161,3 @@ yeast6 &  0.409  /  0.387  &  \textbf{0.463}  /  \textbf{0.445}  &  0.363  /  0.
 
 % ### DoC
 
-\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(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 
-\tabularnewline
-abalone9 18 &  0.477  /  0.433  &  0.538  /  0.512  &  0.512  /  0.473  &  \textbf{0.549}  /  \textbf{0.525} 
-\tabularnewline
-car good &  0.741  /  0.729  &  0.659  /  0.646  &  \textbf{0.759}  /  \textbf{0.748}  &  0.577  /  0.558 
-\tabularnewline
-car vgood &  0.772  /  0.763  &  0.721  /  0.712  &  \textbf{0.776}  /  \textbf{0.766}  &  0.753  /  0.743 
-\tabularnewline
-flare F &  \textbf{0.321}  /  \textbf{0.279}  &  0.223  /  0.193  &  0.302  /  0.262  &  0.267  /  0.234 
-\tabularnewline
-hypothyroid &  0.627  /  0.604  &  \textbf{0.703}  /  \textbf{0.688}  &  0.625  /  0.602  &  0.690  /  0.674 
-\tabularnewline
-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} 
-\tabularnewline
-kr vs k three vs eleven &  0.993  /  0.992  &  0.995  /  0.995  &  0.994  /  0.994  &  \textbf{0.996}  /  \textbf{0.996} 
-\tabularnewline
-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 
-\tabularnewline
-shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  0.994  /  0.994  &  0.998  /  0.998 
-\tabularnewline
-winequality red 4 &  0.118  /  0.065  &  \textbf{0.123}  /  \textbf{0.073}  &  0.115  /  0.063  &  0.105  /  0.052 
-\tabularnewline
-yeast4 &  0.312  /  0.274  &  0.308  /  0.271  &  0.311  /  0.273  &  \textbf{0.334}  /  \textbf{0.299} 
-\tabularnewline
-yeast5 &  0.578  /  0.560  &  \textbf{0.652}  /  \textbf{0.639}  &  0.571  /  0.553  &  0.637  /  0.623 
-\tabularnewline
-yeast6 &  0.366  /  0.342  &  \textbf{0.491}  /  \textbf{0.475}  &  0.358  /  0.334  &  0.382  /  0.359 
-\tabularnewline
-\hline Average &  0.611  /  0.590  &  \textbf{0.625}  /  \textbf{0.609}  &  0.614  /  0.594  &  0.614  /  0.596 
-\tabularnewline
-\hline\end{tabular}\end{table*}
-

data_result/statistics/TablesConvGeN.tex

@@ -0,0 +1,200 @@
+
+% ### LR
+
+\begin{table*}[ht]\scriptsize\caption{LR}\label{tab:results:LR: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(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} 
+\tabularnewline
+abalone9 18 &  0.538  /  0.500  &  \textbf{0.575}  /  \textbf{0.544}  &  0.541  /  0.503  &  0.574  /  0.543 
+\tabularnewline
+car good &  0.108  /  0.038  &  0.109  /  0.038  &  0.107  /  0.036  &  \textbf{0.110}  /  \textbf{0.039} 
+\tabularnewline
+car vgood &  0.373  /  0.332  &  \textbf{0.422}  /  \textbf{0.387}  &  0.377  /  0.337  &  0.400  /  0.362 
+\tabularnewline
+flare F &  0.273  /  0.223  &  \textbf{0.323}  /  \textbf{0.279}  &  0.276  /  0.226  &  0.317  /  0.274 
+\tabularnewline
+hypothyroid &  0.363  /  0.312  &  0.378  /  0.328  &  0.360  /  0.308  &  \textbf{0.429}  /  \textbf{0.386} 
+\tabularnewline
+kddcup guess passwd vs satan &  0.989  /  0.989  &  0.995  /  0.995  &  0.994  /  0.994  &  \textbf{0.998}  /  \textbf{0.998} 
+\tabularnewline
+kr vs k three vs eleven &  0.952  /  0.951  &  \textbf{0.965}  /  \textbf{0.965}  &  0.948  /  0.947  &  0.963  /  0.962 
+\tabularnewline
+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 
+\tabularnewline
+shuttle 2 vs 5 &  0.994  /  0.994  &  \textbf{0.996}  /  \textbf{0.996}  &  0.989  /  0.989  &  0.992  /  0.992 
+\tabularnewline
+winequality red 4 &  0.130  /  0.075  &  \textbf{0.135}  /  \textbf{0.080}  &  0.126  /  0.071  &  0.131  /  0.076 
+\tabularnewline
+yeast4 &  0.254  /  0.209  &  \textbf{0.277}  /  \textbf{0.235}  &  0.249  /  0.204  &  0.276  /  0.234 
+\tabularnewline
+yeast5 &  0.582  /  0.564  &  \textbf{0.620}  /  \textbf{0.604}  &  0.577  /  0.559  &  0.601  /  0.584 
+\tabularnewline
+yeast6 &  0.295  /  0.266  &  \textbf{0.353}  /  \textbf{0.328}  &  0.290  /  0.261  &  0.316  /  0.289 
+\tabularnewline
+\hline Average &  0.489  /  0.457  &  \textbf{0.523}  /  \textbf{0.494}  &  0.488  /  0.457  &  0.515  /  0.486 
+\tabularnewline
+\hline\end{tabular}\end{table*}
+
+
+% ### RF
+
+\begin{table*}[ht]\scriptsize\caption{RF}\label{tab:results:RF: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(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} 
+\tabularnewline
+abalone9 18 &  0.324  /  0.291  &  0.348  /  0.326  &  0.335  /  0.302  &  \textbf{0.359}  /  \textbf{0.337} 
+\tabularnewline
+car good &  0.634  /  0.624  &  \textbf{0.659}  /  \textbf{0.650}  &  0.655  /  0.646  &  0.647  /  0.638 
+\tabularnewline
+car vgood &  0.910  /  0.907  &  \textbf{0.929}  /  \textbf{0.927}  &  0.904  /  0.901  &  0.921  /  0.918 
+\tabularnewline
+flare F &  0.062  /  0.043  &  0.120  /  0.099  &  0.064  /  0.044  &  \textbf{0.133}  /  \textbf{0.113} 
+\tabularnewline
+hypothyroid &  0.782  /  0.772  &  \textbf{0.798}  /  \textbf{0.788}  &  0.791  /  0.781  &  0.796  /  0.786 
+\tabularnewline
+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} 
+\tabularnewline
+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 
+\tabularnewline
+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} 
+\tabularnewline
+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} 
+\tabularnewline
+winequality red 4 &  0.079  /  \textbf{0.062}  &  \textbf{0.086}  /  0.055  &  0.067  /  0.050  &  0.070  /  0.041 
+\tabularnewline
+yeast4 &  0.251  /  0.240  &  \textbf{0.321}  /  \textbf{0.304}  &  0.238  /  0.228  &  0.314  /  0.298 
+\tabularnewline
+yeast5 &  0.691  /  0.684  &  \textbf{0.738}  /  \textbf{0.730}  &  0.705  /  0.698  &  0.727  /  0.718 
+\tabularnewline
+yeast6 &  0.498  /  0.490  &  \textbf{0.575}  /  \textbf{0.567}  &  0.510  /  0.503  &  0.510  /  0.501 
+\tabularnewline
+\hline Average &  0.600  /  0.591  &  \textbf{0.628}  /  \textbf{0.618}  &  0.604  /  0.594  &  0.622  /  0.611 
+\tabularnewline
+\hline\end{tabular}\end{table*}
+
+
+% ### GB
+
+\begin{table*}[ht]\scriptsize\caption{GB}\label{tab:results:GB: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(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  &  \textbf{0.311}  /  \textbf{0.297} 
+\tabularnewline
+abalone9 18 &  \textbf{0.367}  /  \textbf{0.329}  &  0.318  /  0.292  &  0.343  /  0.304  &  0.318  /  0.292 
+\tabularnewline
+car good &  0.714  /  0.705  &  0.864  /  0.858  &  0.733  /  0.723  &  \textbf{0.869}  /  \textbf{0.864} 
+\tabularnewline
+car vgood &  0.933  /  0.931  &  \textbf{0.982}  /  \textbf{0.982}  &  0.951  /  0.949  &  \textbf{0.982}  /  \textbf{0.982} 
+\tabularnewline
+flare F &  0.139  /  0.125  &  \textbf{0.181}  /  \textbf{0.164}  &  0.162  /  0.147  &  0.156  /  0.138 
+\tabularnewline
+hypothyroid &  0.789  /  0.777  &  0.800  /  0.789  &  0.789  /  0.777  &  \textbf{0.815}  /  \textbf{0.806} 
+\tabularnewline
+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} 
+\tabularnewline
+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} 
+\tabularnewline
+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 
+\tabularnewline
+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} 
+\tabularnewline
+winequality red 4 &  \textbf{0.133}  /  \textbf{0.095}  &  0.107  /  0.066  &  \textbf{0.133}  /  \textbf{0.095}  &  0.102  /  0.063 
+\tabularnewline
+yeast4 &  0.257  /  0.242  &  \textbf{0.351}  /  \textbf{0.329}  &  0.261  /  0.245  &  0.333  /  0.311 
+\tabularnewline
+yeast5 &  0.713  /  0.705  &  0.724  /  0.716  &  \textbf{0.731}  /  \textbf{0.723}  &  0.714  /  0.705 
+\tabularnewline
+yeast6 &  0.490  /  0.481  &  \textbf{0.564}  /  \textbf{0.554}  &  0.481  /  0.472  &  0.520  /  0.510 
+\tabularnewline
+\hline Average &  0.627  /  0.615  &  \textbf{0.654}  /  \textbf{0.642}  &  0.631  /  0.619  &  0.648  /  0.637 
+\tabularnewline
+\hline\end{tabular}\end{table*}
+
+
+% ### KNN
+
+\begin{table*}[ht]\scriptsize\caption{KNN}\label{tab:results:KNN: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(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  &  \textbf{0.315}  /  \textbf{0.296}  &  0.273  /  0.243  &  0.311  /  0.291 
+\tabularnewline
+abalone9 18 &  \textbf{0.361}  /  \textbf{0.305}  &  0.136  /  0.120  &  0.347  /  0.290  &  0.165  /  0.149 
+\tabularnewline
+car good &  0.558  /  0.531  &  0.509  /  0.479  &  0.534  /  0.505  &  \textbf{0.585}  /  \textbf{0.561} 
+\tabularnewline
+car vgood &  0.659  /  0.641  &  \textbf{0.879}  /  \textbf{0.874}  &  0.700  /  0.684  &  0.794  /  0.784 
+\tabularnewline
+flare F &  0.269  /  0.220  &  \textbf{0.306}  /  \textbf{0.265}  &  0.277  /  0.228  &  0.302  /  0.262 
+\tabularnewline
+hypothyroid &  0.576  /  0.548  &  0.606  /  0.582  &  0.578  /  0.551  &  \textbf{0.646}  /  \textbf{0.628} 
+\tabularnewline
+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} 
+\tabularnewline
+kr vs k three vs eleven &  0.895  /  0.891  &  \textbf{0.961}  /  \textbf{0.960}  &  0.894  /  0.890  &  0.925  /  0.923 
+\tabularnewline
+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 
+\tabularnewline
+shuttle 2 vs 5 &  0.954  /  0.954  &  0.932  /  0.931  &  \textbf{0.960}  /  \textbf{0.960}  &  0.943  /  0.942 
+\tabularnewline
+winequality red 4 &  \textbf{0.074}  /  \textbf{0.016}  &  0.058  /  -0.001  &  \textbf{0.074}  /  \textbf{0.016}  &  0.059  /  0.000 
+\tabularnewline
+yeast4 &  0.334  /  0.296  &  \textbf{0.348}  /  \textbf{0.313}  &  0.338  /  0.301  &  0.345  /  0.309 
+\tabularnewline
+yeast5 &  0.650  /  0.636  &  0.646  /  0.631  &  0.640  /  0.624  &  \textbf{0.659}  /  \textbf{0.645} 
+\tabularnewline
+yeast6 &  0.337  /  0.311  &  \textbf{0.426}  /  \textbf{0.406}  &  0.334  /  0.308  &  0.390  /  0.367 
+\tabularnewline
+\hline Average &  0.557  /  0.532  &  \textbf{0.572}  /  \textbf{0.553}  &  0.557  /  0.532  &  0.569  /  0.550 
+\tabularnewline
+\hline\end{tabular}\end{table*}
+
+
+% ### DoC
+
+\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(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 
+\tabularnewline
+abalone9 18 &  0.477  /  0.433  &  0.538  /  0.512  &  0.512  /  0.473  &  \textbf{0.549}  /  \textbf{0.525} 
+\tabularnewline
+car good &  0.741  /  0.729  &  0.659  /  0.646  &  \textbf{0.759}  /  \textbf{0.748}  &  0.577  /  0.558 
+\tabularnewline
+car vgood &  0.772  /  0.763  &  0.721  /  0.712  &  \textbf{0.776}  /  \textbf{0.766}  &  0.753  /  0.743 
+\tabularnewline
+flare F &  \textbf{0.321}  /  \textbf{0.279}  &  0.223  /  0.193  &  0.302  /  0.262  &  0.267  /  0.234 
+\tabularnewline
+hypothyroid &  0.627  /  0.604  &  \textbf{0.703}  /  \textbf{0.688}  &  0.625  /  0.602  &  0.690  /  0.674 
+\tabularnewline
+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} 
+\tabularnewline
+kr vs k three vs eleven &  0.993  /  0.992  &  0.995  /  0.995  &  0.994  /  0.994  &  \textbf{0.996}  /  \textbf{0.996} 
+\tabularnewline
+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 
+\tabularnewline
+shuttle 2 vs 5 &  \textbf{1.000}  /  \textbf{1.000}  &  0.996  /  0.996  &  0.994  /  0.994  &  0.998  /  0.998 
+\tabularnewline
+winequality red 4 &  0.118  /  0.065  &  \textbf{0.123}  /  \textbf{0.073}  &  0.115  /  0.063  &  0.105  /  0.052 
+\tabularnewline
+yeast4 &  0.312  /  0.274  &  0.308  /  0.271  &  0.311  /  0.273  &  \textbf{0.334}  /  \textbf{0.299} 
+\tabularnewline
+yeast5 &  0.578  /  0.560  &  \textbf{0.652}  /  \textbf{0.639}  &  0.571  /  0.553  &  0.637  /  0.623 
+\tabularnewline
+yeast6 &  0.366  /  0.342  &  \textbf{0.491}  /  \textbf{0.475}  &  0.358  /  0.334  &  0.382  /  0.359 
+\tabularnewline
+\hline Average &  0.611  /  0.590  &  \textbf{0.625}  /  \textbf{0.609}  &  0.614  /  0.594  &  0.614  /  0.596 
+\tabularnewline
+\hline\end{tabular}\end{table*}
+