Updated tables and added tables only for ConvGeN.

CreateTables.ipynb

@@ -1241,154 +1241,7 @@
    "metadata": {
     "scrolled": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "('LR', 'abalone_17_vs_7_8_9_10', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.275, 0.244), (0.337, 0.311), (0.304, 0.276), (0.221, 0.191), (0.2, 0.164), (0.337, 0.31)]\n",
-      "('LR', 'abalone9-18', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.458, 0.409), (0.57, 0.538), (0.462, 0.418), (0.341, 0.288), (0.389, 0.332), (0.575, 0.544)]\n",
-      "('LR', 'car_good', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.106, 0.035), (0.1, 0.029), (0.162, 0.101), (0.106, 0.035), (0.109, 0.038), (0.109, 0.038)]\n",
-      "('LR', 'car-vgood', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.362, 0.32), (0.392, 0.354), (0.377, 0.337), (0.331, 0.287), (0.354, 0.311), (0.422, 0.387)]\n",
-      "('LR', 'flare-F', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.263, 0.21), (0.278, 0.228), (0.272, 0.223), (0.287, 0.236), (0.293, 0.244), (0.323, 0.279)]\n",
-      "('LR', 'hypothyroid', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.358, 0.305), (0.399, 0.352), (0.393, 0.37), (0.311, 0.252), (0.317, 0.26), (0.378, 0.328)]\n",
-      "('LR', 'kddcup-guess_passwd_vs_satan', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.997, 0.996), (0.996, 0.996), (0.981, 0.98), (1.0, 1.0), (1.0, 1.0), (0.995, 0.995)]\n",
-      "('LR', 'kr-vs-k-three_vs_eleven', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.942, 0.941), (0.965, 0.964), (0.964, 0.964), (0.785, 0.777), (0.848, 0.843), (0.965, 0.965)]\n",
-      "('LR', 'kr-vs-k-zero-one_vs_draw', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.65, 0.632), (0.745, 0.733), (0.725, 0.712), (0.575, 0.552), (0.583, 0.561), (0.836, 0.83)]\n",
-      "('LR', 'shuttle-2_vs_5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.998, 0.998), (0.996, 0.996), (1.0, 1.0), (0.984, 0.984), (0.967, 0.967), (0.996, 0.996)]\n",
-      "('LR', 'winequality-red-4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.113, 0.056), (0.143, 0.09), (0.077, 0.044), (0.127, 0.08), (0.109, 0.051), (0.135, 0.08)]\n",
-      "('LR', 'yeast4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.236, 0.188), (0.243, 0.197), (0.307, 0.269), (0.216, 0.168), (0.227, 0.178), (0.277, 0.235)]\n",
-      "('LR', 'yeast5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.574, 0.555), (0.591, 0.574), (0.595, 0.577), (0.522, 0.5), (0.511, 0.488), (0.62, 0.604)]\n",
-      "('LR', 'yeast6', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.242, 0.21), (0.294, 0.265), (0.375, 0.351), (0.317, 0.29), (0.242, 0.21), (0.353, 0.328)]\n",
-      "('RF', 'abalone_17_vs_7_8_9_10', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.19, 0.18), (0.169, 0.161), (0.256, 0.242), (0.239, 0.22), (0.329, 0.31), (0.28, 0.268)]\n",
-      "('RF', 'abalone9-18', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.322, 0.297), (0.367, 0.34), (0.319, 0.286), (0.395, 0.359), (0.376, 0.333), (0.348, 0.326)]\n",
-      "('RF', 'car_good', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.899, 0.895), (0.581, 0.572), (0.772, 0.765), (0.533, 0.504), (0.804, 0.798), (0.659, 0.65)]\n",
-      "('RF', 'car-vgood', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.985, 0.984), (0.914, 0.911), (0.949, 0.947), (0.812, 0.803), (0.959, 0.957), (0.929, 0.927)]\n",
-      "('RF', 'flare-F', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.222, 0.178), (0.095, 0.074), (0.127, 0.107), (0.294, 0.245), (0.121, 0.102), (0.12, 0.099)]\n",
-      "('RF', 'hypothyroid', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.8, 0.791), (0.725, 0.714), (0.777, 0.767), (0.774, 0.76), (0.777, 0.767), (0.798, 0.788)]\n",
-      "('RF', 'kddcup-guess_passwd_vs_satan', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(1.0, 1.0), (1.0, 1.0), (0.994, 0.994), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0)]\n",
-      "('RF', 'kr-vs-k-three_vs_eleven', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(1.0, 1.0), (0.991, 0.991), (0.992, 0.992), (0.95, 0.948), (0.995, 0.995), (0.992, 0.992)]\n",
-      "('RF', 'kr-vs-k-zero-one_vs_draw', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.946, 0.944), (0.939, 0.936), (0.947, 0.945), (0.843, 0.836), (0.937, 0.935), (0.946, 0.944)]\n",
-      "('RF', 'shuttle-2_vs_5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(1.0, 1.0), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0)]\n",
-      "('RF', 'winequality-red-4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.014, 0.009), (0.005, -0.002), (0.024, 0.018), (0.153, 0.125), (0.173, 0.133), (0.086, 0.055)]\n",
-      "('RF', 'yeast4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.32, 0.306), (0.329, 0.313), (0.284, 0.272), (0.284, 0.252), (0.311, 0.3), (0.321, 0.304)]\n",
-      "('RF', 'yeast5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.72, 0.712), (0.706, 0.698), (0.758, 0.751), (0.647, 0.634), (0.74, 0.733), (0.738, 0.73)]\n",
-      "('RF', 'yeast6', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.518, 0.508), (0.57, 0.562), (0.493, 0.485), (0.453, 0.437), (0.53, 0.522), (0.575, 0.567)]\n",
-      "('GB', 'abalone_17_vs_7_8_9_10', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.333, 0.312), (0.323, 0.304), (0.202, 0.194), (0.234, 0.219), (0.204, 0.198), (0.291, 0.278)]\n",
-      "('GB', 'abalone9-18', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.383, 0.346), (0.399, 0.362), (0.344, 0.319), (0.396, 0.362), (0.343, 0.32), (0.318, 0.292)]\n",
-      "('GB', 'car_good', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.839, 0.831), (0.849, 0.843), (0.849, 0.843), (0.533, 0.504), (0.84, 0.834), (0.864, 0.858)]\n",
-      "('GB', 'car-vgood', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.938, 0.935), (0.971, 0.97), (0.978, 0.977), (0.812, 0.803), (0.98, 0.979), (0.982, 0.982)]\n",
-      "('GB', 'flare-F', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.285, 0.237), (0.132, 0.111), (0.231, 0.214), (0.315, 0.268), (0.225, 0.208), (0.181, 0.164)]\n",
-      "('GB', 'hypothyroid', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.781, 0.768), (0.795, 0.785), (0.808, 0.799), (0.774, 0.76), (0.81, 0.801), (0.8, 0.789)]\n",
-      "('GB', 'kddcup-guess_passwd_vs_satan', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(1.0, 1.0), (1.0, 1.0), (0.986, 0.986), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0)]\n",
-      "('GB', 'kr-vs-k-three_vs_eleven', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.995, 0.995), (0.995, 0.995), (0.995, 0.995), (0.95, 0.949), (0.995, 0.995), (0.995, 0.995)]\n",
-      "('GB', 'kr-vs-k-zero-one_vs_draw', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.944, 0.942), (0.959, 0.958), (0.959, 0.958), (0.825, 0.818), (0.955, 0.953), (0.972, 0.971)]\n",
-      "('GB', 'shuttle-2_vs_5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(1.0, 1.0), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0), (0.989, 0.989), (1.0, 1.0)]\n",
-      "('GB', 'winequality-red-4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.127, 0.094), (0.099, 0.073), (0.066, 0.054), (0.13, 0.104), (0.128, 0.086), (0.107, 0.066)]\n",
-      "('GB', 'yeast4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.377, 0.349), (0.371, 0.349), (0.275, 0.26), (0.246, 0.218), (0.308, 0.293), (0.351, 0.329)]\n",
-      "('GB', 'yeast5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.714, 0.705), (0.69, 0.68), (0.746, 0.739), (0.617, 0.603), (0.716, 0.707), (0.724, 0.716)]\n",
-      "('GB', 'yeast6', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.473, 0.458), (0.569, 0.559), (0.494, 0.484), (0.432, 0.417), (0.526, 0.517), (0.564, 0.554)]\n",
-      "('KNN', 'abalone_17_vs_7_8_9_10', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.315, 0.291), (0.336, 0.313), (0.272, 0.243), (0.18, 0.173), (0.28, 0.268), (0.315, 0.296)]\n",
-      "('KNN', 'abalone9-18', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.342, 0.286), (0.386, 0.338), (0.258, 0.197), (0.276, 0.256), (0.338, 0.313), (0.136, 0.12)]\n",
-      "('KNN', 'car_good', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.357, 0.312), (0.72, 0.707), (0.427, 0.394), (0.229, 0.171), (0.433, 0.395), (0.509, 0.479)]\n",
-      "('KNN', 'car-vgood', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.413, 0.375), (0.805, 0.797), (0.653, 0.634), (0.322, 0.277), (0.595, 0.572), (0.879, 0.874)]\n",
-      "('KNN', 'flare-F', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.245, 0.191), (0.293, 0.249), (0.27, 0.228), (0.267, 0.214), (0.293, 0.246), (0.306, 0.265)]\n",
-      "('KNN', 'hypothyroid', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.568, 0.54), (0.615, 0.592), (0.573, 0.547), (0.618, 0.595), (0.565, 0.537), (0.606, 0.582)]\n",
-      "('KNN', 'kddcup-guess_passwd_vs_satan', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.991, 0.991), (0.991, 0.991), (0.991, 0.991), (0.991, 0.991), (0.991, 0.991), (0.991, 0.991)]\n",
-      "('KNN', 'kr-vs-k-three_vs_eleven', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.901, 0.898), (0.932, 0.929), (0.903, 0.9), (0.804, 0.797), (0.807, 0.801), (0.961, 0.96)]\n",
-      "('KNN', 'kr-vs-k-zero-one_vs_draw', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.84, 0.833), (0.885, 0.88), (0.828, 0.821), (0.767, 0.756), (0.786, 0.776), (0.897, 0.892)]\n",
-      "('KNN', 'shuttle-2_vs_5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.951, 0.951), (0.956, 0.955), (0.936, 0.935), (0.951, 0.951), (0.949, 0.948), (0.932, 0.931)]\n",
-      "('KNN', 'winequality-red-4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.069, 0.016), (0.072, 0.02), (0.085, 0.028), (0.047, 0.001), (0.057, 0.003), (0.058, -0.001)]\n",
-      "('KNN', 'yeast4', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.329, 0.293), (0.363, 0.332), (0.332, 0.294), (0.304, 0.267), (0.313, 0.273), (0.348, 0.313)]\n",
-      "('KNN', 'yeast5', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.67, 0.657), (0.691, 0.679), (0.598, 0.581), (0.542, 0.522), (0.507, 0.484), (0.646, 0.631)]\n",
-      "('KNN', 'yeast6', ['Repeater', 'ProWRAS', 'GAN', 'CTGAN', 'CTAB-GAN', 'ConvGeN(min,maj)'])\n",
-      "[(0.409, 0.387), (0.463, 0.445), (0.363, 0.339), (0.383, 0.36), (0.304, 0.276), (0.426, 0.406)]\n",
-      "('DoC', 'abalone_17_vs_7_8_9_10', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.306, 0.278), (0.393, 0.372), (0.317, 0.289), (0.366, 0.345)]\n",
-      "('DoC', 'abalone9-18', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.477, 0.433), (0.538, 0.512), (0.512, 0.473), (0.549, 0.525)]\n",
-      "('DoC', 'car_good', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.741, 0.729), (0.659, 0.646), (0.759, 0.748), (0.577, 0.558)]\n",
-      "('DoC', 'car-vgood', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.772, 0.763), (0.721, 0.712), (0.776, 0.766), (0.753, 0.743)]\n",
-      "('DoC', 'flare-F', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.321, 0.279), (0.223, 0.193), (0.302, 0.262), (0.267, 0.234)]\n",
-      "('DoC', 'hypothyroid', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.627, 0.604), (0.703, 0.688), (0.625, 0.602), (0.69, 0.674)]\n",
-      "('DoC', 'kddcup-guess_passwd_vs_satan', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.991, 0.991), (1.0, 1.0), (0.996, 0.996), (1.0, 1.0)]\n",
-      "('DoC', 'kr-vs-k-three_vs_eleven', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.993, 0.992), (0.995, 0.995), (0.994, 0.994), (0.996, 0.996)]\n",
-      "('DoC', 'kr-vs-k-zero-one_vs_draw', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.957, 0.955), (0.951, 0.949), (0.965, 0.964), (0.941, 0.939)]\n",
-      "('DoC', 'shuttle-2_vs_5', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(1.0, 1.0), (0.996, 0.996), (0.994, 0.994), (0.998, 0.998)]\n",
-      "('DoC', 'winequality-red-4', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.118, 0.065), (0.123, 0.073), (0.115, 0.063), (0.105, 0.052)]\n",
-      "('DoC', 'yeast4', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.312, 0.274), (0.308, 0.271), (0.311, 0.273), (0.334, 0.299)]\n",
-      "('DoC', 'yeast5', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.578, 0.56), (0.652, 0.639), (0.571, 0.553), (0.637, 0.623)]\n",
-      "('DoC', 'yeast6', ['ConvGeN(5,maj)', 'ConvGeN(min,maj)', 'ConvGeN(5,prox)', 'ConvGeN(min,prox)'])\n",
-      "[(0.366, 0.342), (0.491, 0.475), (0.358, 0.334), (0.382, 0.359)]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "def p(f, bold=False):\n",
     "    if f is None:\n",
@@ -1430,6 +1283,7 @@
     "        \n",
     "        myGans = [x for x in gans if not x.startswith(\"ConvGeN\") or x == 'ConvGeN(min,maj)']\n",
     "        if algo[0:3] == \"DoC\":\n",
+    "            continue\n",
     "            myGans = list(gans)[-4:]\n",
     "\n",
     "        for g in myGans:\n",
@@ -1447,8 +1301,8 @@
     "                row = tableRow(algo, d, myGans)\n",
     "                line = [latex(d)]\n",
     "\n",
-    "                print((algo, d, myGans))\n",
-    "                print(row)\n",
+    "                #print((algo, d, myGans))\n",
+    "                #print(row)\n",
     "                \n",
     "                m = pairMax(row)\n",
     "\n",
@@ -1471,6 +1325,59 @@
   {
    "cell_type": "code",
    "execution_count": 25,
+   "id": "bronze-pearl",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "    \n",
+    "with open(\"data_result/statistics/TablesConvGeN.tex\", \"w\") as latexFile:\n",
+    "    for algo in algs:\n",
+    "        latexFile.write(\"\\n\")\n",
+    "        latexFile.write(\"% ### \" + algo + \"\\n\")\n",
+    "        latexFile.write(\"\\n\")\n",
+    "        f = \"\"\n",
+    "        heading = [\"dataset ($f_1~$score$~/~\\\\kappa~$score)\"]\n",
+    "        \n",
+    "        myGans = [x for x in gans if x.startswith(\"ConvGeN\")]\n",
+    "\n",
+    "        for g in myGans:\n",
+    "            heading.append(latex(g))\n",
+    "        table = Table(heading)\n",
+    "        \n",
+    "        avg = [[0.0, 0.0] for h in heading[1:]]\n",
+    "        mx  = [[0.0, 0.0] for h in heading[1:]]\n",
+    "        cnt = 0\n",
+    "\n",
+    "        for d in testSets:\n",
+    "            d = cleanupName(d)\n",
+    "            if d not in ignore:\n",
+    "                cnt += 1\n",
+    "                row = tableRow(algo, d, myGans)\n",
+    "                line = [latex(d)]\n",
+    "\n",
+    "                #print((algo, d, myGans))\n",
+    "                #print(row)\n",
+    "                \n",
+    "                m = pairMax(row)\n",
+    "\n",
+    "                for (n, r) in enumerate(row):\n",
+    "                    line.append(f\"{p(r[0], r[0] == m[0])} / {p(r[1], r[1] == m[1])}\")\n",
+    "                    avg[n][0] += r[0] or 0.0\n",
+    "                    avg[n][1] += r[1] or 0.0\n",
+    "                    mx[n][0] = max(mx[n][0], r[0] or 0.0)\n",
+    "                    mx[n][1] = max(mx[n][1], r[1] or 0.0)\n",
+    "                table.add(line)\n",
+    "\n",
+    "        m = pairMax(avg)\n",
+    "        table.add([\"\\\\hline Average\"] + [f\"{p(a / cnt, a == m[0])} / {p(b / cnt, b == m[1])}\" for (a,b) in avg])\n",
+    "\n",
+    "        latexFile.write(table.showLatex(algo, \"tab:results:\" + algo + \":A\") + \"\\n\")\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
    "id": "bearing-strengthening",
    "metadata": {},
    "outputs": [
@@ -1512,14 +1419,14 @@
     "    table.append([(\"Average\", \"Average\")] + [(a / cnt, b / cnt) for (a,b) in avg])\n",
     "    \n",
     "    with open(f\"data_result/statistics/{algo}-f1.csv\", \"w\") as f:\n",
-    "        f.write((\",\".join(heading)) + \"\\n\")\n",
+    "        f.write((\";\".join(heading)) + \"\\n\")\n",
     "        for row in table:\n",
-    "            f.write((\",\".join([str(x[0]) for x in row])) + \"\\n\")\n",
+    "            f.write((\";\".join([str(x[0]) for x in row])) + \"\\n\")\n",
     "\n",
     "    with open(f\"data_result/statistics/{algo}-kappa.csv\", \"w\") as f:\n",
-    "        f.write((\",\".join(heading)) + \"\\n\")\n",
+    "        f.write((\";\".join(heading)) + \"\\n\")\n",
     "        for row in table:\n",
-    "            f.write((\",\".join([str(x[1]) for x in row])) + \"\\n\")\n"
+    "            f.write((\";\".join([str(x[1]) for x in row])) + \"\\n\")\n"
    ]
   },
   {