/////////////////////////////////////////// // Running convGAN-proximary-full on folding_flare-F /////////////////////////////////////////// Load 'data_input/folding_flare-F' from pickle file non empty cut in data_input/folding_flare-F! (23 points) Data loaded. -> Shuffling data ### Start exercise for synthetic point generator ====== Step 1/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 1/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.8798 40/82 [=============>................] - ETA: 0s - loss: 0.2957  79/82 [===========================>..] - ETA: 0s - loss: 0.2522 82/82 [==============================] - 0s 1ms/step - loss: 0.2436 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 4.9647e-05 40/82 [=============>................] - ETA: 0s - loss: 0.1481  78/82 [===========================>..] - ETA: 0s - loss: 0.1527 82/82 [==============================] - 0s 1ms/step - loss: 0.1458 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0068 39/82 [=============>................] - ETA: 0s - loss: 0.1224 79/82 [===========================>..] - ETA: 0s - loss: 0.1016 82/82 [==============================] - 0s 1ms/step - loss: 0.1060 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0115 41/82 [==============>...............] - ETA: 0s - loss: 0.0767 80/82 [============================>.] - ETA: 0s - loss: 0.0902 82/82 [==============================] - 0s 1ms/step - loss: 0.0916 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0287 37/82 [============>.................] - ETA: 0s - loss: 0.0957 76/82 [==========================>...] - ETA: 0s - loss: 0.0851 82/82 [==============================] - 0s 1ms/step - loss: 0.0856 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0064 39/82 [=============>................] - ETA: 0s - loss: 0.0735 78/82 [===========================>..] - ETA: 0s - loss: 0.0831 82/82 [==============================] - 0s 1ms/step - loss: 0.0823 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2249 41/82 [==============>...............] - ETA: 0s - loss: 0.1028 81/82 [============================>.] - ETA: 0s - loss: 0.0777 82/82 [==============================] - 0s 1ms/step - loss: 0.0798 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1827 40/82 [=============>................] - ETA: 0s - loss: 0.0754 78/82 [===========================>..] - ETA: 0s - loss: 0.0755 82/82 [==============================] - 0s 1ms/step - loss: 0.0775 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0330 41/82 [==============>...............] - ETA: 0s - loss: 0.0794 81/82 [============================>.] - ETA: 0s - loss: 0.0744 82/82 [==============================] - 0s 1ms/step - loss: 0.0753 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0377 41/82 [==============>...............] - ETA: 0s - loss: 0.0740 79/82 [===========================>..] - ETA: 0s - loss: 0.0746 82/82 [==============================] - 0s 1ms/step - loss: 0.0738 -> test with GAN.predict GAN tn, fp: 191, 14 GAN fn, tp: 6, 3 GAN f1 score: 0.231 GAN cohens kappa score: 0.186 -> test with 'LR' LR tn, fp: 179, 26 LR fn, tp: 8, 1 LR f1 score: 0.056 LR cohens kappa score: -0.008 LR average precision score: 0.087 -> test with 'RF' RF tn, fp: 197, 8 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.041 -> test with 'GB' GB tn, fp: 201, 4 GB fn, tp: 8, 1 GB f1 score: 0.143 GB cohens kappa score: 0.116 -> test with 'KNN' KNN tn, fp: 186, 19 KNN fn, tp: 6, 3 KNN f1 score: 0.194 KNN cohens kappa score: 0.142 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 12s - loss: 0.5783 35/82 [===========>..................] - ETA: 0s - loss: 0.2684  68/82 [=======================>......] - ETA: 0s - loss: 0.2594 82/82 [==============================] - 0s 1ms/step - loss: 0.2609 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2303 40/82 [=============>................] - ETA: 0s - loss: 0.2064 79/82 [===========================>..] - ETA: 0s - loss: 0.1765 82/82 [==============================] - 0s 1ms/step - loss: 0.1784 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0129 39/82 [=============>................] - ETA: 0s - loss: 0.1420 77/82 [===========================>..] - ETA: 0s - loss: 0.1384 82/82 [==============================] - 0s 1ms/step - loss: 0.1388 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3442 39/82 [=============>................] - ETA: 0s - loss: 0.1601 76/82 [==========================>...] - ETA: 0s - loss: 0.1172 82/82 [==============================] - 0s 1ms/step - loss: 0.1171 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0131 38/82 [============>.................] - ETA: 0s - loss: 0.0852 75/82 [==========================>...] - ETA: 0s - loss: 0.1032 82/82 [==============================] - 0s 1ms/step - loss: 0.1081 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1787 40/82 [=============>................] - ETA: 0s - loss: 0.1274 80/82 [============================>.] - ETA: 0s - loss: 0.1044 82/82 [==============================] - 0s 1ms/step - loss: 0.1025 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.3090 40/82 [=============>................] - ETA: 0s - loss: 0.0863 76/82 [==========================>...] - ETA: 0s - loss: 0.0992 82/82 [==============================] - 0s 1ms/step - loss: 0.0993 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0356 39/82 [=============>................] - ETA: 0s - loss: 0.0904 79/82 [===========================>..] - ETA: 0s - loss: 0.0990 82/82 [==============================] - 0s 1ms/step - loss: 0.0972 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0109 40/82 [=============>................] - ETA: 0s - loss: 0.1141 73/82 [=========================>....] - ETA: 0s - loss: 0.0935 82/82 [==============================] - 0s 1ms/step - loss: 0.0940 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1013 41/82 [==============>...............] - ETA: 0s - loss: 0.0920 82/82 [==============================] - 0s 1ms/step - loss: 0.0920 -> test with GAN.predict GAN tn, fp: 197, 8 GAN fn, tp: 6, 3 GAN f1 score: 0.300 GAN cohens kappa score: 0.266 -> test with 'LR' LR tn, fp: 182, 23 LR fn, tp: 2, 7 LR f1 score: 0.359 LR cohens kappa score: 0.315 LR average precision score: 0.398 -> test with 'RF' RF tn, fp: 201, 4 RF fn, tp: 8, 1 RF f1 score: 0.143 RF cohens kappa score: 0.116 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 8, 1 GB f1 score: 0.167 GB cohens kappa score: 0.149 -> test with 'KNN' KNN tn, fp: 187, 18 KNN fn, tp: 6, 3 KNN f1 score: 0.200 KNN cohens kappa score: 0.150 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0119 34/82 [===========>..................] - ETA: 0s - loss: 0.1711  68/82 [=======================>......] - ETA: 0s - loss: 0.1960 82/82 [==============================] - 0s 2ms/step - loss: 0.1956 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 4.2061e-04 38/82 [============>.................] - ETA: 0s - loss: 0.1381  77/82 [===========================>..] - ETA: 0s - loss: 0.1296 82/82 [==============================] - 0s 1ms/step - loss: 0.1245 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1599 40/82 [=============>................] - ETA: 0s - loss: 0.0914 79/82 [===========================>..] - ETA: 0s - loss: 0.0985 82/82 [==============================] - 0s 1ms/step - loss: 0.1009 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0308 38/82 [============>.................] - ETA: 0s - loss: 0.0694 74/82 [==========================>...] - ETA: 0s - loss: 0.0810 82/82 [==============================] - 0s 1ms/step - loss: 0.0889 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1868 37/82 [============>.................] - ETA: 0s - loss: 0.0889 72/82 [=========================>....] - ETA: 0s - loss: 0.0835 82/82 [==============================] - 0s 1ms/step - loss: 0.0823 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0684 41/82 [==============>...............] - ETA: 0s - loss: 0.0897 79/82 [===========================>..] - ETA: 0s - loss: 0.0826 82/82 [==============================] - 0s 1ms/step - loss: 0.0812 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0619 39/82 [=============>................] - ETA: 0s - loss: 0.0823 77/82 [===========================>..] - ETA: 0s - loss: 0.0816 82/82 [==============================] - 0s 1ms/step - loss: 0.0785 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0203 38/82 [============>.................] - ETA: 0s - loss: 0.0699 75/82 [==========================>...] - ETA: 0s - loss: 0.0787 82/82 [==============================] - 0s 1ms/step - loss: 0.0794 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0587 39/82 [=============>................] - ETA: 0s - loss: 0.0832 72/82 [=========================>....] - ETA: 0s - loss: 0.0834 82/82 [==============================] - 0s 1ms/step - loss: 0.0775 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0711 39/82 [=============>................] - ETA: 0s - loss: 0.0816 77/82 [===========================>..] - ETA: 0s - loss: 0.0756 82/82 [==============================] - 0s 1ms/step - loss: 0.0754 -> test with GAN.predict GAN tn, fp: 196, 9 GAN fn, tp: 7, 2 GAN f1 score: 0.200 GAN cohens kappa score: 0.161 -> test with 'LR' LR tn, fp: 186, 19 LR fn, tp: 3, 6 LR f1 score: 0.353 LR cohens kappa score: 0.310 LR average precision score: 0.510 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 8, 1 RF f1 score: 0.154 RF cohens kappa score: 0.131 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 8, 1 GB f1 score: 0.200 GB cohens kappa score: 0.193 -> test with 'KNN' KNN tn, fp: 192, 13 KNN fn, tp: 4, 5 KNN f1 score: 0.370 KNN cohens kappa score: 0.333 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0933 31/82 [==========>...................] - ETA: 0s - loss: 0.2913  63/82 [======================>.......] - ETA: 0s - loss: 0.2396 82/82 [==============================] - 0s 2ms/step - loss: 0.2553 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1615 40/82 [=============>................] - ETA: 0s - loss: 0.2279 79/82 [===========================>..] - ETA: 0s - loss: 0.2042 82/82 [==============================] - 0s 1ms/step - loss: 0.1973 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.3431 37/82 [============>.................] - ETA: 0s - loss: 0.1188 76/82 [==========================>...] - ETA: 0s - loss: 0.1438 82/82 [==============================] - 0s 1ms/step - loss: 0.1577 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3390 41/82 [==============>...............] - ETA: 0s - loss: 0.1442 80/82 [============================>.] - ETA: 0s - loss: 0.1413 82/82 [==============================] - 0s 1ms/step - loss: 0.1384 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0454 37/82 [============>.................] - ETA: 0s - loss: 0.1249 74/82 [==========================>...] - ETA: 0s - loss: 0.1219 82/82 [==============================] - 0s 1ms/step - loss: 0.1214 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0363 36/82 [============>.................] - ETA: 0s - loss: 0.1024 74/82 [==========================>...] - ETA: 0s - loss: 0.1024 82/82 [==============================] - 0s 1ms/step - loss: 0.1115 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0523 41/82 [==============>...............] - ETA: 0s - loss: 0.1228 79/82 [===========================>..] - ETA: 0s - loss: 0.1083 82/82 [==============================] - 0s 1ms/step - loss: 0.1072 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0562 40/82 [=============>................] - ETA: 0s - loss: 0.1123 77/82 [===========================>..] - ETA: 0s - loss: 0.1050 82/82 [==============================] - 0s 1ms/step - loss: 0.1026 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0938 36/82 [============>.................] - ETA: 0s - loss: 0.1191 75/82 [==========================>...] - ETA: 0s - loss: 0.1074 82/82 [==============================] - 0s 1ms/step - loss: 0.1040 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0921 40/82 [=============>................] - ETA: 0s - loss: 0.1056 82/82 [==============================] - 0s 1ms/step - loss: 0.0998 -> test with GAN.predict GAN tn, fp: 202, 3 GAN fn, tp: 6, 3 GAN f1 score: 0.400 GAN cohens kappa score: 0.379 -> test with 'LR' LR tn, fp: 190, 15 LR fn, tp: 0, 9 LR f1 score: 0.545 LR cohens kappa score: 0.516 LR average precision score: 0.763 -> test with 'RF' RF tn, fp: 205, 0 RF fn, tp: 7, 2 RF f1 score: 0.364 RF cohens kappa score: 0.354 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 7, 2 GB f1 score: 0.333 GB cohens kappa score: 0.319 -> test with 'KNN' KNN tn, fp: 199, 6 KNN fn, tp: 6, 3 KNN f1 score: 0.333 KNN cohens kappa score: 0.304 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 11s - loss: 0.0034 42/82 [==============>...............] - ETA: 0s - loss: 0.2925  82/82 [==============================] - ETA: 0s - loss: 0.2752 82/82 [==============================] - 0s 1ms/step - loss: 0.2752 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0452 41/82 [==============>...............] - ETA: 0s - loss: 0.1962 82/82 [==============================] - ETA: 0s - loss: 0.1845 82/82 [==============================] - 0s 1ms/step - loss: 0.1845 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0337 44/82 [===============>..............] - ETA: 0s - loss: 0.1615 82/82 [==============================] - 0s 1ms/step - loss: 0.1564 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0588 44/82 [===============>..............] - ETA: 0s - loss: 0.1448 82/82 [==============================] - 0s 1ms/step - loss: 0.1348 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2809 43/82 [==============>...............] - ETA: 0s - loss: 0.1590 82/82 [==============================] - ETA: 0s - loss: 0.1258 82/82 [==============================] - 0s 1ms/step - loss: 0.1258 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1156 43/82 [==============>...............] - ETA: 0s - loss: 0.1169 82/82 [==============================] - 0s 1ms/step - loss: 0.1183 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0454 42/82 [==============>...............] - ETA: 0s - loss: 0.1405 81/82 [============================>.] - ETA: 0s - loss: 0.1157 82/82 [==============================] - 0s 1ms/step - loss: 0.1151 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0478 38/82 [============>.................] - ETA: 0s - loss: 0.1130 73/82 [=========================>....] - ETA: 0s - loss: 0.1170 82/82 [==============================] - 0s 1ms/step - loss: 0.1113 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.2005 40/82 [=============>................] - ETA: 0s - loss: 0.1031 82/82 [==============================] - ETA: 0s - loss: 0.1092 82/82 [==============================] - 0s 1ms/step - loss: 0.1092 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.4260 42/82 [==============>...............] - ETA: 0s - loss: 0.1231 82/82 [==============================] - 0s 1ms/step - loss: 0.1071 -> test with GAN.predict GAN tn, fp: 192, 11 GAN fn, tp: 3, 4 GAN f1 score: 0.364 GAN cohens kappa score: 0.333 -> test with 'LR' LR tn, fp: 182, 21 LR fn, tp: 3, 4 LR f1 score: 0.250 LR cohens kappa score: 0.209 LR average precision score: 0.219 -> test with 'RF' RF tn, fp: 199, 4 RF fn, tp: 6, 1 RF f1 score: 0.167 RF cohens kappa score: 0.143 -> test with 'GB' GB tn, fp: 200, 3 GB fn, tp: 5, 2 GB f1 score: 0.333 GB cohens kappa score: 0.314 -> test with 'KNN' KNN tn, fp: 185, 18 KNN fn, tp: 2, 5 KNN f1 score: 0.333 KNN cohens kappa score: 0.297 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.7578 40/82 [=============>................] - ETA: 0s - loss: 0.3164  80/82 [============================>.] - ETA: 0s - loss: 0.2719 82/82 [==============================] - 0s 1ms/step - loss: 0.2665 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0914 40/82 [=============>................] - ETA: 0s - loss: 0.1791 79/82 [===========================>..] - ETA: 0s - loss: 0.1555 82/82 [==============================] - 0s 1ms/step - loss: 0.1505 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0057 39/82 [=============>................] - ETA: 0s - loss: 0.0876 78/82 [===========================>..] - ETA: 0s - loss: 0.1110 82/82 [==============================] - 0s 1ms/step - loss: 0.1177 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1994 38/82 [============>.................] - ETA: 0s - loss: 0.1209 76/82 [==========================>...] - ETA: 0s - loss: 0.1054 82/82 [==============================] - 0s 1ms/step - loss: 0.1050 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1066 39/82 [=============>................] - ETA: 0s - loss: 0.0813 78/82 [===========================>..] - ETA: 0s - loss: 0.0973 82/82 [==============================] - 0s 1ms/step - loss: 0.0964 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0166 39/82 [=============>................] - ETA: 0s - loss: 0.0816 79/82 [===========================>..] - ETA: 0s - loss: 0.0893 82/82 [==============================] - 0s 1ms/step - loss: 0.0898 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0173 39/82 [=============>................] - ETA: 0s - loss: 0.0742 78/82 [===========================>..] - ETA: 0s - loss: 0.0860 82/82 [==============================] - 0s 1ms/step - loss: 0.0857 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0859 40/82 [=============>................] - ETA: 0s - loss: 0.0780 80/82 [============================>.] - ETA: 0s - loss: 0.0833 82/82 [==============================] - 0s 1ms/step - loss: 0.0821 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0154 40/82 [=============>................] - ETA: 0s - loss: 0.0610 77/82 [===========================>..] - ETA: 0s - loss: 0.0758 82/82 [==============================] - 0s 1ms/step - loss: 0.0784 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0305 39/82 [=============>................] - ETA: 0s - loss: 0.0699 79/82 [===========================>..] - ETA: 0s - loss: 0.0773 82/82 [==============================] - 0s 1ms/step - loss: 0.0751 -> test with GAN.predict GAN tn, fp: 202, 3 GAN fn, tp: 6, 3 GAN f1 score: 0.400 GAN cohens kappa score: 0.379 -> test with 'LR' LR tn, fp: 180, 25 LR fn, tp: 2, 7 LR f1 score: 0.341 LR cohens kappa score: 0.295 LR average precision score: 0.426 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 7, 2 RF f1 score: 0.286 RF cohens kappa score: 0.264 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 8, 1 GB f1 score: 0.167 GB cohens kappa score: 0.149 -> test with 'KNN' KNN tn, fp: 194, 11 KNN fn, tp: 6, 3 KNN f1 score: 0.261 KNN cohens kappa score: 0.221 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 30s - loss: 0.0049 40/82 [=============>................] - ETA: 0s - loss: 0.2738  80/82 [============================>.] - ETA: 0s - loss: 0.2302 82/82 [==============================] - 0s 1ms/step - loss: 0.2315 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0042 40/82 [=============>................] - ETA: 0s - loss: 0.1475 77/82 [===========================>..] - ETA: 0s - loss: 0.1458 82/82 [==============================] - 0s 1ms/step - loss: 0.1391 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0237 39/82 [=============>................] - ETA: 0s - loss: 0.1130 78/82 [===========================>..] - ETA: 0s - loss: 0.1121 82/82 [==============================] - 0s 1ms/step - loss: 0.1166 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2979 37/82 [============>.................] - ETA: 0s - loss: 0.1216 74/82 [==========================>...] - ETA: 0s - loss: 0.1114 82/82 [==============================] - 0s 1ms/step - loss: 0.1078 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1434 33/82 [===========>..................] - ETA: 0s - loss: 0.1131 67/82 [=======================>......] - ETA: 0s - loss: 0.1056 82/82 [==============================] - 0s 2ms/step - loss: 0.1020 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0775 39/82 [=============>................] - ETA: 0s - loss: 0.0986 77/82 [===========================>..] - ETA: 0s - loss: 0.1004 82/82 [==============================] - 0s 1ms/step - loss: 0.0966 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0352 39/82 [=============>................] - ETA: 0s - loss: 0.0910 78/82 [===========================>..] - ETA: 0s - loss: 0.0930 82/82 [==============================] - 0s 1ms/step - loss: 0.0935 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2081 40/82 [=============>................] - ETA: 0s - loss: 0.1035 74/82 [==========================>...] - ETA: 0s - loss: 0.0950 82/82 [==============================] - 0s 1ms/step - loss: 0.0908 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0151 40/82 [=============>................] - ETA: 0s - loss: 0.0890 79/82 [===========================>..] - ETA: 0s - loss: 0.0894 82/82 [==============================] - 0s 1ms/step - loss: 0.0884 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0187 39/82 [=============>................] - ETA: 0s - loss: 0.0771 75/82 [==========================>...] - ETA: 0s - loss: 0.0840 82/82 [==============================] - 0s 1ms/step - loss: 0.0857 -> test with GAN.predict GAN tn, fp: 199, 6 GAN fn, tp: 7, 2 GAN f1 score: 0.235 GAN cohens kappa score: 0.204 -> test with 'LR' LR tn, fp: 176, 29 LR fn, tp: 4, 5 LR f1 score: 0.233 LR cohens kappa score: 0.178 LR average precision score: 0.377 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.021 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.016 -> test with 'KNN' KNN tn, fp: 184, 21 KNN fn, tp: 5, 4 KNN f1 score: 0.235 KNN cohens kappa score: 0.185 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 12s - loss: 0.7617 39/82 [=============>................] - ETA: 0s - loss: 0.2592  79/82 [===========================>..] - ETA: 0s - loss: 0.2223 82/82 [==============================] - 0s 1ms/step - loss: 0.2203 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0042 40/82 [=============>................] - ETA: 0s - loss: 0.1794 80/82 [============================>.] - ETA: 0s - loss: 0.1715 82/82 [==============================] - 0s 1ms/step - loss: 0.1718 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.5338 39/82 [=============>................] - ETA: 0s - loss: 0.1285 78/82 [===========================>..] - ETA: 0s - loss: 0.1459 82/82 [==============================] - 0s 1ms/step - loss: 0.1452 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0985 39/82 [=============>................] - ETA: 0s - loss: 0.1245 78/82 [===========================>..] - ETA: 0s - loss: 0.1260 82/82 [==============================] - 0s 1ms/step - loss: 0.1274 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1964 39/82 [=============>................] - ETA: 0s - loss: 0.1274 78/82 [===========================>..] - ETA: 0s - loss: 0.1212 82/82 [==============================] - 0s 1ms/step - loss: 0.1183 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.4864 41/82 [==============>...............] - ETA: 0s - loss: 0.1210 79/82 [===========================>..] - ETA: 0s - loss: 0.1056 82/82 [==============================] - 0s 1ms/step - loss: 0.1065 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0288 38/82 [============>.................] - ETA: 0s - loss: 0.1054 77/82 [===========================>..] - ETA: 0s - loss: 0.1052 82/82 [==============================] - 0s 1ms/step - loss: 0.1040 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0255 38/82 [============>.................] - ETA: 0s - loss: 0.1036 73/82 [=========================>....] - ETA: 0s - loss: 0.0952 82/82 [==============================] - 0s 1ms/step - loss: 0.0999 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1315 40/82 [=============>................] - ETA: 0s - loss: 0.1212 79/82 [===========================>..] - ETA: 0s - loss: 0.0983 82/82 [==============================] - 0s 1ms/step - loss: 0.0966 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2200 40/82 [=============>................] - ETA: 0s - loss: 0.0948 79/82 [===========================>..] - ETA: 0s - loss: 0.0946 82/82 [==============================] - 0s 1ms/step - loss: 0.0951 -> test with GAN.predict GAN tn, fp: 202, 3 GAN fn, tp: 8, 1 GAN f1 score: 0.154 GAN cohens kappa score: 0.131 -> test with 'LR' LR tn, fp: 179, 26 LR fn, tp: 3, 6 LR f1 score: 0.293 LR cohens kappa score: 0.243 LR average precision score: 0.370 -> test with 'RF' RF tn, fp: 203, 2 RF fn, tp: 8, 1 RF f1 score: 0.167 RF cohens kappa score: 0.149 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.016 -> test with 'KNN' KNN tn, fp: 192, 13 KNN fn, tp: 5, 4 KNN f1 score: 0.308 KNN cohens kappa score: 0.267 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 14s - loss: 0.5561 39/82 [=============>................] - ETA: 0s - loss: 0.2751  78/82 [===========================>..] - ETA: 0s - loss: 0.2444 82/82 [==============================] - 0s 1ms/step - loss: 0.2332 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.6244 34/82 [===========>..................] - ETA: 0s - loss: 0.1093 68/82 [=======================>......] - ETA: 0s - loss: 0.1226 82/82 [==============================] - 0s 2ms/step - loss: 0.1361 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0014 38/82 [============>.................] - ETA: 0s - loss: 0.0856 67/82 [=======================>......] - ETA: 0s - loss: 0.1010 82/82 [==============================] - 0s 2ms/step - loss: 0.1003 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0040 38/82 [============>.................] - ETA: 0s - loss: 0.0942 76/82 [==========================>...] - ETA: 0s - loss: 0.0853 82/82 [==============================] - 0s 1ms/step - loss: 0.0881 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0424 38/82 [============>.................] - ETA: 0s - loss: 0.0631 73/82 [=========================>....] - ETA: 0s - loss: 0.0778 82/82 [==============================] - 0s 1ms/step - loss: 0.0809 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0949 39/82 [=============>................] - ETA: 0s - loss: 0.0897 77/82 [===========================>..] - ETA: 0s - loss: 0.0801 82/82 [==============================] - 0s 1ms/step - loss: 0.0778 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2618 34/82 [===========>..................] - ETA: 0s - loss: 0.0652 70/82 [========================>.....] - ETA: 0s - loss: 0.0793 82/82 [==============================] - 0s 1ms/step - loss: 0.0756 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0214 38/82 [============>.................] - ETA: 0s - loss: 0.0951 78/82 [===========================>..] - ETA: 0s - loss: 0.0761 82/82 [==============================] - 0s 1ms/step - loss: 0.0736 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1636 40/82 [=============>................] - ETA: 0s - loss: 0.0711 79/82 [===========================>..] - ETA: 0s - loss: 0.0730 82/82 [==============================] - 0s 1ms/step - loss: 0.0713 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0587 38/82 [============>.................] - ETA: 0s - loss: 0.0445 75/82 [==========================>...] - ETA: 0s - loss: 0.0716 82/82 [==============================] - 0s 1ms/step - loss: 0.0708 -> test with GAN.predict GAN tn, fp: 201, 4 GAN fn, tp: 9, 0 GAN f1 score: 0.000 GAN cohens kappa score: -0.027 -> test with 'LR' LR tn, fp: 193, 12 LR fn, tp: 6, 3 LR f1 score: 0.250 LR cohens kappa score: 0.208 LR average precision score: 0.290 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.021 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 8, 1 GB f1 score: 0.182 GB cohens kappa score: 0.169 -> test with 'KNN' KNN tn, fp: 198, 7 KNN fn, tp: 5, 4 KNN f1 score: 0.400 KNN cohens kappa score: 0.371 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.5331 42/82 [==============>...............] - ETA: 0s - loss: 0.2501  82/82 [==============================] - 0s 1ms/step - loss: 0.2277 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0573 43/82 [==============>...............] - ETA: 0s - loss: 0.1870 82/82 [==============================] - 0s 1ms/step - loss: 0.1667 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.8294 43/82 [==============>...............] - ETA: 0s - loss: 0.1848 82/82 [==============================] - 0s 1ms/step - loss: 0.1363 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0533 42/82 [==============>...............] - ETA: 0s - loss: 0.0971 82/82 [==============================] - 0s 1ms/step - loss: 0.1226 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0148 41/82 [==============>...............] - ETA: 0s - loss: 0.1434 82/82 [==============================] - 0s 1ms/step - loss: 0.1112 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0030 39/82 [=============>................] - ETA: 0s - loss: 0.0982 82/82 [==============================] - ETA: 0s - loss: 0.1032 82/82 [==============================] - 0s 1ms/step - loss: 0.1032 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0606 42/82 [==============>...............] - ETA: 0s - loss: 0.0793 82/82 [==============================] - 0s 1ms/step - loss: 0.0973 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0128 41/82 [==============>...............] - ETA: 0s - loss: 0.0931 82/82 [==============================] - ETA: 0s - loss: 0.0957 82/82 [==============================] - 0s 1ms/step - loss: 0.0957 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0955 38/82 [============>.................] - ETA: 0s - loss: 0.0933 80/82 [============================>.] - ETA: 0s - loss: 0.0934 82/82 [==============================] - 0s 1ms/step - loss: 0.0918 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0150 42/82 [==============>...............] - ETA: 0s - loss: 0.0842 81/82 [============================>.] - ETA: 0s - loss: 0.0897 82/82 [==============================] - 0s 1ms/step - loss: 0.0889 -> test with GAN.predict GAN tn, fp: 193, 10 GAN fn, tp: 4, 3 GAN f1 score: 0.300 GAN cohens kappa score: 0.268 -> test with 'LR' LR tn, fp: 185, 18 LR fn, tp: 0, 7 LR f1 score: 0.438 LR cohens kappa score: 0.407 LR average precision score: 0.404 -> test with 'RF' RF tn, fp: 201, 2 RF fn, tp: 6, 1 RF f1 score: 0.200 RF cohens kappa score: 0.184 -> test with 'GB' GB tn, fp: 201, 2 GB fn, tp: 6, 1 GB f1 score: 0.200 GB cohens kappa score: 0.184 -> test with 'KNN' KNN tn, fp: 185, 18 KNN fn, tp: 1, 6 KNN f1 score: 0.387 KNN cohens kappa score: 0.354 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.9478 40/82 [=============>................] - ETA: 0s - loss: 0.6003  77/82 [===========================>..] - ETA: 0s - loss: 0.4394 82/82 [==============================] - 0s 1ms/step - loss: 0.4175 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0672 41/82 [==============>...............] - ETA: 0s - loss: 0.2292 79/82 [===========================>..] - ETA: 0s - loss: 0.2299 82/82 [==============================] - 0s 1ms/step - loss: 0.2247 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0948 41/82 [==============>...............] - ETA: 0s - loss: 0.1767 73/82 [=========================>....] - ETA: 0s - loss: 0.1805 82/82 [==============================] - 0s 1ms/step - loss: 0.1727 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2202 40/82 [=============>................] - ETA: 0s - loss: 0.1453 78/82 [===========================>..] - ETA: 0s - loss: 0.1542 82/82 [==============================] - 0s 1ms/step - loss: 0.1503 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1798 41/82 [==============>...............] - ETA: 0s - loss: 0.1359 81/82 [============================>.] - ETA: 0s - loss: 0.1340 82/82 [==============================] - 0s 1ms/step - loss: 0.1343 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1033 41/82 [==============>...............] - ETA: 0s - loss: 0.1166 79/82 [===========================>..] - ETA: 0s - loss: 0.1270 82/82 [==============================] - 0s 1ms/step - loss: 0.1242 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0200 40/82 [=============>................] - ETA: 0s - loss: 0.0949 80/82 [============================>.] - ETA: 0s - loss: 0.1147 82/82 [==============================] - 0s 1ms/step - loss: 0.1161 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0883 38/82 [============>.................] - ETA: 0s - loss: 0.1156 73/82 [=========================>....] - ETA: 0s - loss: 0.1089 82/82 [==============================] - 0s 1ms/step - loss: 0.1108 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1652 38/82 [============>.................] - ETA: 0s - loss: 0.1085 81/82 [============================>.] - ETA: 0s - loss: 0.1070 82/82 [==============================] - 0s 1ms/step - loss: 0.1071 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0295 42/82 [==============>...............] - ETA: 0s - loss: 0.1062 82/82 [==============================] - ETA: 0s - loss: 0.1038 82/82 [==============================] - 0s 1ms/step - loss: 0.1038 -> test with GAN.predict GAN tn, fp: 199, 6 GAN fn, tp: 6, 3 GAN f1 score: 0.333 GAN cohens kappa score: 0.304 -> test with 'LR' LR tn, fp: 188, 17 LR fn, tp: 2, 7 LR f1 score: 0.424 LR cohens kappa score: 0.387 LR average precision score: 0.814 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 8, 1 RF f1 score: 0.182 RF cohens kappa score: 0.169 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: 0.000 -> test with 'KNN' KNN tn, fp: 195, 10 KNN fn, tp: 3, 6 KNN f1 score: 0.480 KNN cohens kappa score: 0.450 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 16s - loss: 0.0992 38/82 [============>.................] - ETA: 0s - loss: 0.4136  79/82 [===========================>..] - ETA: 0s - loss: 0.3936 82/82 [==============================] - 0s 1ms/step - loss: 0.4017 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.3312 41/82 [==============>...............] - ETA: 0s - loss: 0.2902 79/82 [===========================>..] - ETA: 0s - loss: 0.2795 82/82 [==============================] - 0s 1ms/step - loss: 0.2808 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0307 40/82 [=============>................] - ETA: 0s - loss: 0.2292 80/82 [============================>.] - ETA: 0s - loss: 0.2214 82/82 [==============================] - 0s 1ms/step - loss: 0.2182 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0931 41/82 [==============>...............] - ETA: 0s - loss: 0.1495 80/82 [============================>.] - ETA: 0s - loss: 0.1769 82/82 [==============================] - 0s 1ms/step - loss: 0.1733 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0577 41/82 [==============>...............] - ETA: 0s - loss: 0.1493 80/82 [============================>.] - ETA: 0s - loss: 0.1475 82/82 [==============================] - 0s 1ms/step - loss: 0.1487 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0192 40/82 [=============>................] - ETA: 0s - loss: 0.1469 78/82 [===========================>..] - ETA: 0s - loss: 0.1373 82/82 [==============================] - 0s 1ms/step - loss: 0.1393 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2999 40/82 [=============>................] - ETA: 0s - loss: 0.1335 76/82 [==========================>...] - ETA: 0s - loss: 0.1291 82/82 [==============================] - 0s 1ms/step - loss: 0.1319 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2752 38/82 [============>.................] - ETA: 0s - loss: 0.1093 75/82 [==========================>...] - ETA: 0s - loss: 0.1246 82/82 [==============================] - 0s 1ms/step - loss: 0.1268 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0966 40/82 [=============>................] - ETA: 0s - loss: 0.1248 79/82 [===========================>..] - ETA: 0s - loss: 0.1243 82/82 [==============================] - 0s 1ms/step - loss: 0.1235 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0701 40/82 [=============>................] - ETA: 0s - loss: 0.0964 79/82 [===========================>..] - ETA: 0s - loss: 0.1189 82/82 [==============================] - 0s 1ms/step - loss: 0.1187 -> test with GAN.predict GAN tn, fp: 179, 26 GAN fn, tp: 5, 4 GAN f1 score: 0.205 GAN cohens kappa score: 0.150 -> test with 'LR' LR tn, fp: 174, 31 LR fn, tp: 2, 7 LR f1 score: 0.298 LR cohens kappa score: 0.247 LR average precision score: 0.251 -> test with 'RF' RF tn, fp: 198, 7 RF fn, tp: 7, 2 RF f1 score: 0.222 RF cohens kappa score: 0.188 -> test with 'GB' GB tn, fp: 194, 11 GB fn, tp: 5, 4 GB f1 score: 0.333 GB cohens kappa score: 0.296 -> test with 'KNN' KNN tn, fp: 178, 27 KNN fn, tp: 3, 6 KNN f1 score: 0.286 KNN cohens kappa score: 0.235 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0012 37/82 [============>.................] - ETA: 0s - loss: 0.3218  74/82 [==========================>...] - ETA: 0s - loss: 0.3243 82/82 [==============================] - 0s 1ms/step - loss: 0.3122 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0035 37/82 [============>.................] - ETA: 0s - loss: 0.2362 74/82 [==========================>...] - ETA: 0s - loss: 0.2380 82/82 [==============================] - 0s 1ms/step - loss: 0.2274 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.5262 35/82 [===========>..................] - ETA: 0s - loss: 0.1782 70/82 [========================>.....] - ETA: 0s - loss: 0.1724 82/82 [==============================] - 0s 1ms/step - loss: 0.1673 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0801 39/82 [=============>................] - ETA: 0s - loss: 0.1526 78/82 [===========================>..] - ETA: 0s - loss: 0.1413 82/82 [==============================] - 0s 1ms/step - loss: 0.1440 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0192 40/82 [=============>................] - ETA: 0s - loss: 0.1310 77/82 [===========================>..] - ETA: 0s - loss: 0.1333 82/82 [==============================] - 0s 1ms/step - loss: 0.1322 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1222 40/82 [=============>................] - ETA: 0s - loss: 0.1132 79/82 [===========================>..] - ETA: 0s - loss: 0.1284 82/82 [==============================] - 0s 1ms/step - loss: 0.1264 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0877 40/82 [=============>................] - ETA: 0s - loss: 0.1373 79/82 [===========================>..] - ETA: 0s - loss: 0.1263 82/82 [==============================] - 0s 1ms/step - loss: 0.1248 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0846 38/82 [============>.................] - ETA: 0s - loss: 0.0985 77/82 [===========================>..] - ETA: 0s - loss: 0.1151 82/82 [==============================] - 0s 1ms/step - loss: 0.1209 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0090 38/82 [============>.................] - ETA: 0s - loss: 0.1217 76/82 [==========================>...] - ETA: 0s - loss: 0.1140 82/82 [==============================] - 0s 1ms/step - loss: 0.1181 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1486 36/82 [============>.................] - ETA: 0s - loss: 0.1353 73/82 [=========================>....] - ETA: 0s - loss: 0.1203 82/82 [==============================] - 0s 1ms/step - loss: 0.1158 -> test with GAN.predict GAN tn, fp: 197, 8 GAN fn, tp: 5, 4 GAN f1 score: 0.381 GAN cohens kappa score: 0.350 -> test with 'LR' LR tn, fp: 186, 19 LR fn, tp: 3, 6 LR f1 score: 0.353 LR cohens kappa score: 0.310 LR average precision score: 0.370 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.008 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.008 -> test with 'KNN' KNN tn, fp: 189, 16 KNN fn, tp: 2, 7 KNN f1 score: 0.438 KNN cohens kappa score: 0.401 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 12s - loss: 8.8505e-05 40/82 [=============>................] - ETA: 0s - loss: 0.2358  78/82 [===========================>..] - ETA: 0s - loss: 0.2117 82/82 [==============================] - 0s 1ms/step - loss: 0.2186 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 1.5797 40/82 [=============>................] - ETA: 0s - loss: 0.1782 78/82 [===========================>..] - ETA: 0s - loss: 0.1625 82/82 [==============================] - 0s 1ms/step - loss: 0.1583 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0308 42/82 [==============>...............] - ETA: 0s - loss: 0.1310 81/82 [============================>.] - ETA: 0s - loss: 0.1256 82/82 [==============================] - 0s 1ms/step - loss: 0.1246 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1497 41/82 [==============>...............] - ETA: 0s - loss: 0.0998 81/82 [============================>.] - ETA: 0s - loss: 0.1083 82/82 [==============================] - 0s 1ms/step - loss: 0.1073 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0722 41/82 [==============>...............] - ETA: 0s - loss: 0.1259 79/82 [===========================>..] - ETA: 0s - loss: 0.0953 82/82 [==============================] - 0s 1ms/step - loss: 0.0986 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0046 39/82 [=============>................] - ETA: 0s - loss: 0.0876 73/82 [=========================>....] - ETA: 0s - loss: 0.1003 82/82 [==============================] - 0s 1ms/step - loss: 0.0934 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0632 23/82 [=======>......................] - ETA: 0s - loss: 0.1051 51/82 [=================>............] - ETA: 0s - loss: 0.0881 74/82 [==========================>...] - ETA: 0s - loss: 0.0826 82/82 [==============================] - 0s 2ms/step - loss: 0.0880 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0115 29/82 [=========>....................] - ETA: 0s - loss: 0.0641 51/82 [=================>............] - ETA: 0s - loss: 0.0661 79/82 [===========================>..] - ETA: 0s - loss: 0.0853 82/82 [==============================] - 0s 2ms/step - loss: 0.0856 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0114 30/82 [=========>....................] - ETA: 0s - loss: 0.0880 57/82 [===================>..........] - ETA: 0s - loss: 0.0854 82/82 [==============================] - 0s 2ms/step - loss: 0.0822 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1231 31/82 [==========>...................] - ETA: 0s - loss: 0.0753 56/82 [===================>..........] - ETA: 0s - loss: 0.0830 82/82 [==============================] - 0s 2ms/step - loss: 0.0818 -> test with GAN.predict GAN tn, fp: 200, 5 GAN fn, tp: 5, 4 GAN f1 score: 0.444 GAN cohens kappa score: 0.420 -> test with 'LR' LR tn, fp: 189, 16 LR fn, tp: 5, 4 LR f1 score: 0.276 LR cohens kappa score: 0.231 LR average precision score: 0.217 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.008 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.016 -> test with 'KNN' KNN tn, fp: 198, 7 KNN fn, tp: 4, 5 KNN f1 score: 0.476 KNN cohens kappa score: 0.450 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.3184 33/82 [===========>..................] - ETA: 0s - loss: 0.1930  68/82 [=======================>......] - ETA: 0s - loss: 0.1987 82/82 [==============================] - 0s 1ms/step - loss: 0.1858 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 4.9903e-04 34/82 [===========>..................] - ETA: 0s - loss: 0.1544  67/82 [=======================>......] - ETA: 0s - loss: 0.1496 82/82 [==============================] - 0s 1ms/step - loss: 0.1394 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0095 33/82 [===========>..................] - ETA: 0s - loss: 0.1175 62/82 [=====================>........] - ETA: 0s - loss: 0.1131 82/82 [==============================] - 0s 2ms/step - loss: 0.1150 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0549 33/82 [===========>..................] - ETA: 0s - loss: 0.1395 64/82 [======================>.......] - ETA: 0s - loss: 0.1066 82/82 [==============================] - 0s 2ms/step - loss: 0.1069 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0100 36/82 [============>.................] - ETA: 0s - loss: 0.1109 70/82 [========================>.....] - ETA: 0s - loss: 0.1026 82/82 [==============================] - 0s 1ms/step - loss: 0.0985 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0074 33/82 [===========>..................] - ETA: 0s - loss: 0.0874 66/82 [=======================>......] - ETA: 0s - loss: 0.0963 82/82 [==============================] - 0s 2ms/step - loss: 0.0947 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0941 38/82 [============>.................] - ETA: 0s - loss: 0.0730 72/82 [=========================>....] - ETA: 0s - loss: 0.0804 82/82 [==============================] - 0s 1ms/step - loss: 0.0921 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0105 36/82 [============>.................] - ETA: 0s - loss: 0.0897 71/82 [========================>.....] - ETA: 0s - loss: 0.0921 82/82 [==============================] - 0s 1ms/step - loss: 0.0913 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0173 35/82 [===========>..................] - ETA: 0s - loss: 0.0738 70/82 [========================>.....] - ETA: 0s - loss: 0.0917 82/82 [==============================] - 0s 2ms/step - loss: 0.0887 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0163 37/82 [============>.................] - ETA: 0s - loss: 0.0840 72/82 [=========================>....] - ETA: 0s - loss: 0.0918 82/82 [==============================] - 0s 1ms/step - loss: 0.0873 -> test with GAN.predict GAN tn, fp: 195, 8 GAN fn, tp: 5, 2 GAN f1 score: 0.235 GAN cohens kappa score: 0.204 -> test with 'LR' LR tn, fp: 178, 25 LR fn, tp: 1, 6 LR f1 score: 0.316 LR cohens kappa score: 0.276 LR average precision score: 0.284 -> test with 'RF' RF tn, fp: 195, 8 RF fn, tp: 5, 2 RF f1 score: 0.235 RF cohens kappa score: 0.204 -> test with 'GB' GB tn, fp: 198, 5 GB fn, tp: 6, 1 GB f1 score: 0.154 GB cohens kappa score: 0.127 -> test with 'KNN' KNN tn, fp: 194, 9 KNN fn, tp: 6, 1 KNN f1 score: 0.118 KNN cohens kappa score: 0.082 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 17s - loss: 0.4707 31/82 [==========>...................] - ETA: 0s - loss: 0.1913  54/82 [==================>...........] - ETA: 0s - loss: 0.2430 82/82 [==============================] - ETA: 0s - loss: 0.2363 82/82 [==============================] - 0s 2ms/step - loss: 0.2363 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 7.9992e-05 30/82 [=========>....................] - ETA: 0s - loss: 0.0986  61/82 [=====================>........] - ETA: 0s - loss: 0.1208 82/82 [==============================] - 0s 2ms/step - loss: 0.1622 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0188 28/82 [=========>....................] - ETA: 0s - loss: 0.1314 58/82 [====================>.........] - ETA: 0s - loss: 0.1364 82/82 [==============================] - 0s 2ms/step - loss: 0.1289 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0029 27/82 [========>.....................] - ETA: 0s - loss: 0.1207 54/82 [==================>...........] - ETA: 0s - loss: 0.1251 82/82 [==============================] - 0s 2ms/step - loss: 0.1098 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0106 31/82 [==========>...................] - ETA: 0s - loss: 0.0952 58/82 [====================>.........] - ETA: 0s - loss: 0.0919 82/82 [==============================] - ETA: 0s - loss: 0.0992 82/82 [==============================] - 0s 2ms/step - loss: 0.0992 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0982 31/82 [==========>...................] - ETA: 0s - loss: 0.1026 67/82 [=======================>......] - ETA: 0s - loss: 0.0987 82/82 [==============================] - 0s 2ms/step - loss: 0.0915 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0108 29/82 [=========>....................] - ETA: 0s - loss: 0.1061 60/82 [====================>.........] - ETA: 0s - loss: 0.0812 82/82 [==============================] - 0s 2ms/step - loss: 0.0870 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0432 29/82 [=========>....................] - ETA: 0s - loss: 0.0584 58/82 [====================>.........] - ETA: 0s - loss: 0.0828 82/82 [==============================] - 0s 2ms/step - loss: 0.0838 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0192 29/82 [=========>....................] - ETA: 0s - loss: 0.0852 58/82 [====================>.........] - ETA: 0s - loss: 0.0842 82/82 [==============================] - 0s 2ms/step - loss: 0.0797 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0045 26/82 [========>.....................] - ETA: 0s - loss: 0.0502 53/82 [==================>...........] - ETA: 0s - loss: 0.0829 80/82 [============================>.] - ETA: 0s - loss: 0.0786 82/82 [==============================] - 0s 2ms/step - loss: 0.0787 -> test with GAN.predict GAN tn, fp: 198, 7 GAN fn, tp: 8, 1 GAN f1 score: 0.118 GAN cohens kappa score: 0.081 -> test with 'LR' LR tn, fp: 194, 11 LR fn, tp: 7, 2 LR f1 score: 0.182 LR cohens kappa score: 0.139 LR average precision score: 0.187 -> test with 'RF' RF tn, fp: 198, 7 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.038 -> test with 'GB' GB tn, fp: 199, 6 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.035 -> test with 'KNN' KNN tn, fp: 192, 13 KNN fn, tp: 6, 3 KNN f1 score: 0.240 KNN cohens kappa score: 0.197 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 14s - loss: 0.6299 32/82 [==========>...................] - ETA: 0s - loss: 0.3510  66/82 [=======================>......] - ETA: 0s - loss: 0.2784 82/82 [==============================] - 0s 2ms/step - loss: 0.2598 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0273 31/82 [==========>...................] - ETA: 0s - loss: 0.2459 65/82 [======================>.......] - ETA: 0s - loss: 0.2143 82/82 [==============================] - 0s 2ms/step - loss: 0.2031 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.4449 32/82 [==========>...................] - ETA: 0s - loss: 0.1693 64/82 [======================>.......] - ETA: 0s - loss: 0.1821 82/82 [==============================] - 0s 2ms/step - loss: 0.1704 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.4782 32/82 [==========>...................] - ETA: 0s - loss: 0.1548 63/82 [======================>.......] - ETA: 0s - loss: 0.1579 82/82 [==============================] - 0s 2ms/step - loss: 0.1519 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0085 32/82 [==========>...................] - ETA: 0s - loss: 0.1279 59/82 [====================>.........] - ETA: 0s - loss: 0.1338 82/82 [==============================] - 0s 2ms/step - loss: 0.1398 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0044 31/82 [==========>...................] - ETA: 0s - loss: 0.1499 59/82 [====================>.........] - ETA: 0s - loss: 0.1399 82/82 [==============================] - 0s 2ms/step - loss: 0.1322 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1253 29/82 [=========>....................] - ETA: 0s - loss: 0.1059 59/82 [====================>.........] - ETA: 0s - loss: 0.1073 82/82 [==============================] - 0s 2ms/step - loss: 0.1243 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.3059 35/82 [===========>..................] - ETA: 0s - loss: 0.1075 66/82 [=======================>......] - ETA: 0s - loss: 0.1170 82/82 [==============================] - 0s 2ms/step - loss: 0.1199 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0545 34/82 [===========>..................] - ETA: 0s - loss: 0.1185 68/82 [=======================>......] - ETA: 0s - loss: 0.1169 82/82 [==============================] - 0s 2ms/step - loss: 0.1173 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1072 35/82 [===========>..................] - ETA: 0s - loss: 0.1180 68/82 [=======================>......] - ETA: 0s - loss: 0.1233 82/82 [==============================] - 0s 2ms/step - loss: 0.1164 -> test with GAN.predict GAN tn, fp: 199, 6 GAN fn, tp: 7, 2 GAN f1 score: 0.235 GAN cohens kappa score: 0.204 -> test with 'LR' LR tn, fp: 189, 16 LR fn, tp: 4, 5 LR f1 score: 0.333 LR cohens kappa score: 0.292 LR average precision score: 0.588 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 7, 2 RF f1 score: 0.286 RF cohens kappa score: 0.264 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 7, 2 GB f1 score: 0.308 GB cohens kappa score: 0.289 -> test with 'KNN' KNN tn, fp: 191, 14 KNN fn, tp: 6, 3 KNN f1 score: 0.231 KNN cohens kappa score: 0.186 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 19s - loss: 0.1456 32/82 [==========>...................] - ETA: 0s - loss: 0.2835  62/82 [=====================>........] - ETA: 0s - loss: 0.2705 82/82 [==============================] - 0s 2ms/step - loss: 0.2541 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0014 34/82 [===========>..................] - ETA: 0s - loss: 0.1782 64/82 [======================>.......] - ETA: 0s - loss: 0.1755 82/82 [==============================] - 0s 2ms/step - loss: 0.1732 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0015 32/82 [==========>...................] - ETA: 0s - loss: 0.1084 61/82 [=====================>........] - ETA: 0s - loss: 0.1503 82/82 [==============================] - 0s 2ms/step - loss: 0.1361 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0291 32/82 [==========>...................] - ETA: 0s - loss: 0.1129 66/82 [=======================>......] - ETA: 0s - loss: 0.1088 82/82 [==============================] - 0s 2ms/step - loss: 0.1144 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0291 32/82 [==========>...................] - ETA: 0s - loss: 0.1222 62/82 [=====================>........] - ETA: 0s - loss: 0.1106 82/82 [==============================] - 0s 2ms/step - loss: 0.1049 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0094 33/82 [===========>..................] - ETA: 0s - loss: 0.1248 64/82 [======================>.......] - ETA: 0s - loss: 0.0950 82/82 [==============================] - 0s 2ms/step - loss: 0.0990 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1042 34/82 [===========>..................] - ETA: 0s - loss: 0.0930 65/82 [======================>.......] - ETA: 0s - loss: 0.0886 82/82 [==============================] - 0s 2ms/step - loss: 0.0946 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1935 36/82 [============>.................] - ETA: 0s - loss: 0.0774 68/82 [=======================>......] - ETA: 0s - loss: 0.0849 82/82 [==============================] - 0s 2ms/step - loss: 0.0915 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1179 32/82 [==========>...................] - ETA: 0s - loss: 0.0822 64/82 [======================>.......] - ETA: 0s - loss: 0.0980 82/82 [==============================] - 0s 2ms/step - loss: 0.0888 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2158 31/82 [==========>...................] - ETA: 0s - loss: 0.0515 63/82 [======================>.......] - ETA: 0s - loss: 0.0828 82/82 [==============================] - 0s 2ms/step - loss: 0.0862 -> test with GAN.predict GAN tn, fp: 201, 4 GAN fn, tp: 5, 4 GAN f1 score: 0.471 GAN cohens kappa score: 0.449 -> test with 'LR' LR tn, fp: 184, 21 LR fn, tp: 4, 5 LR f1 score: 0.286 LR cohens kappa score: 0.238 LR average precision score: 0.271 -> test with 'RF' RF tn, fp: 203, 2 RF fn, tp: 8, 1 RF f1 score: 0.167 RF cohens kappa score: 0.149 -> test with 'GB' GB tn, fp: 202, 3 GB fn, tp: 7, 2 GB f1 score: 0.286 GB cohens kappa score: 0.264 -> test with 'KNN' KNN tn, fp: 186, 19 KNN fn, tp: 5, 4 KNN f1 score: 0.250 KNN cohens kappa score: 0.202 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 20s - loss: 0.1172 34/82 [===========>..................] - ETA: 0s - loss: 0.1601  65/82 [======================>.......] - ETA: 0s - loss: 0.1881 82/82 [==============================] - 0s 2ms/step - loss: 0.1985 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0330 30/82 [=========>....................] - ETA: 0s - loss: 0.1487 61/82 [=====================>........] - ETA: 0s - loss: 0.1530 82/82 [==============================] - 0s 2ms/step - loss: 0.1467 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.4059 34/82 [===========>..................] - ETA: 0s - loss: 0.1178 67/82 [=======================>......] - ETA: 0s - loss: 0.1281 82/82 [==============================] - 0s 2ms/step - loss: 0.1186 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2646 35/82 [===========>..................] - ETA: 0s - loss: 0.1283 67/82 [=======================>......] - ETA: 0s - loss: 0.1088 82/82 [==============================] - 0s 2ms/step - loss: 0.1041 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1129 33/82 [===========>..................] - ETA: 0s - loss: 0.0864 65/82 [======================>.......] - ETA: 0s - loss: 0.0826 82/82 [==============================] - 0s 2ms/step - loss: 0.0929 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1031 33/82 [===========>..................] - ETA: 0s - loss: 0.0871 66/82 [=======================>......] - ETA: 0s - loss: 0.1052 82/82 [==============================] - 0s 2ms/step - loss: 0.0917 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1565 34/82 [===========>..................] - ETA: 0s - loss: 0.0769 67/82 [=======================>......] - ETA: 0s - loss: 0.0845 82/82 [==============================] - 0s 2ms/step - loss: 0.0857 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0936 32/82 [==========>...................] - ETA: 0s - loss: 0.0773 65/82 [======================>.......] - ETA: 0s - loss: 0.0879 82/82 [==============================] - 0s 2ms/step - loss: 0.0843 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0231 33/82 [===========>..................] - ETA: 0s - loss: 0.0711 66/82 [=======================>......] - ETA: 0s - loss: 0.0853 82/82 [==============================] - 0s 2ms/step - loss: 0.0819 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0274 32/82 [==========>...................] - ETA: 0s - loss: 0.0869 65/82 [======================>.......] - ETA: 0s - loss: 0.0803 82/82 [==============================] - 0s 2ms/step - loss: 0.0807 -> test with GAN.predict GAN tn, fp: 195, 10 GAN fn, tp: 7, 2 GAN f1 score: 0.190 GAN cohens kappa score: 0.150 -> test with 'LR' LR tn, fp: 186, 19 LR fn, tp: 2, 7 LR f1 score: 0.400 LR cohens kappa score: 0.360 LR average precision score: 0.399 -> test with 'RF' RF tn, fp: 200, 5 RF fn, tp: 7, 2 RF f1 score: 0.250 RF cohens kappa score: 0.221 -> test with 'GB' GB tn, fp: 201, 4 GB fn, tp: 7, 2 GB f1 score: 0.267 GB cohens kappa score: 0.241 -> test with 'KNN' KNN tn, fp: 194, 11 KNN fn, tp: 6, 3 KNN f1 score: 0.261 KNN cohens kappa score: 0.221 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0558 36/82 [============>.................] - ETA: 0s - loss: 0.2535  72/82 [=========================>....] - ETA: 0s - loss: 0.2295 82/82 [==============================] - 0s 1ms/step - loss: 0.2227 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1519 35/82 [===========>..................] - ETA: 0s - loss: 0.1566 68/82 [=======================>......] - ETA: 0s - loss: 0.1513 82/82 [==============================] - 0s 2ms/step - loss: 0.1508 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0932 35/82 [===========>..................] - ETA: 0s - loss: 0.1304 73/82 [=========================>....] - ETA: 0s - loss: 0.1192 82/82 [==============================] - 0s 1ms/step - loss: 0.1252 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0200 33/82 [===========>..................] - ETA: 0s - loss: 0.1300 69/82 [========================>.....] - ETA: 0s - loss: 0.1126 82/82 [==============================] - 0s 2ms/step - loss: 0.1083 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0907 36/82 [============>.................] - ETA: 0s - loss: 0.0826 71/82 [========================>.....] - ETA: 0s - loss: 0.1048 82/82 [==============================] - 0s 1ms/step - loss: 0.1032 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0664 35/82 [===========>..................] - ETA: 0s - loss: 0.1171 70/82 [========================>.....] - ETA: 0s - loss: 0.0997 82/82 [==============================] - 0s 1ms/step - loss: 0.0976 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0561 31/82 [==========>...................] - ETA: 0s - loss: 0.0804 67/82 [=======================>......] - ETA: 0s - loss: 0.1020 82/82 [==============================] - 0s 2ms/step - loss: 0.0961 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0753 34/82 [===========>..................] - ETA: 0s - loss: 0.0949 68/82 [=======================>......] - ETA: 0s - loss: 0.0959 82/82 [==============================] - 0s 1ms/step - loss: 0.0919 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0081 34/82 [===========>..................] - ETA: 0s - loss: 0.1011 69/82 [========================>.....] - ETA: 0s - loss: 0.0935 82/82 [==============================] - 0s 1ms/step - loss: 0.0912 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0065 34/82 [===========>..................] - ETA: 0s - loss: 0.1021 69/82 [========================>.....] - ETA: 0s - loss: 0.0913 82/82 [==============================] - 0s 1ms/step - loss: 0.0899 -> test with GAN.predict GAN tn, fp: 192, 11 GAN fn, tp: 5, 2 GAN f1 score: 0.200 GAN cohens kappa score: 0.164 -> test with 'LR' LR tn, fp: 183, 20 LR fn, tp: 1, 6 LR f1 score: 0.364 LR cohens kappa score: 0.328 LR average precision score: 0.490 -> test with 'RF' RF tn, fp: 201, 2 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.015 -> test with 'GB' GB tn, fp: 202, 1 GB fn, tp: 6, 1 GB f1 score: 0.222 GB cohens kappa score: 0.211 -> test with 'KNN' KNN tn, fp: 189, 14 KNN fn, tp: 4, 3 KNN f1 score: 0.250 KNN cohens kappa score: 0.213 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 16s - loss: 0.4576 34/82 [===========>..................] - ETA: 0s - loss: 0.3326  65/82 [======================>.......] - ETA: 0s - loss: 0.3058 82/82 [==============================] - 0s 2ms/step - loss: 0.3181 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 6.3855e-04 36/82 [============>.................] - ETA: 0s - loss: 0.3073  65/82 [======================>.......] - ETA: 0s - loss: 0.2430 82/82 [==============================] - 0s 2ms/step - loss: 0.2228 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 6.2808e-04 32/82 [==========>...................] - ETA: 0s - loss: 0.2119  62/82 [=====================>........] - ETA: 0s - loss: 0.1757 82/82 [==============================] - 0s 2ms/step - loss: 0.1668 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2507 33/82 [===========>..................] - ETA: 0s - loss: 0.1358 64/82 [======================>.......] - ETA: 0s - loss: 0.1515 82/82 [==============================] - 0s 2ms/step - loss: 0.1418 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1642 35/82 [===========>..................] - ETA: 0s - loss: 0.1282 67/82 [=======================>......] - ETA: 0s - loss: 0.1303 82/82 [==============================] - 0s 2ms/step - loss: 0.1259 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0194 36/82 [============>.................] - ETA: 0s - loss: 0.1015 68/82 [=======================>......] - ETA: 0s - loss: 0.1049 82/82 [==============================] - 0s 2ms/step - loss: 0.1190 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0368 37/82 [============>.................] - ETA: 0s - loss: 0.1103 68/82 [=======================>......] - ETA: 0s - loss: 0.1124 82/82 [==============================] - 0s 2ms/step - loss: 0.1133 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0308 35/82 [===========>..................] - ETA: 0s - loss: 0.1045 66/82 [=======================>......] - ETA: 0s - loss: 0.1117 82/82 [==============================] - 0s 2ms/step - loss: 0.1091 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0355 35/82 [===========>..................] - ETA: 0s - loss: 0.1078 69/82 [========================>.....] - ETA: 0s - loss: 0.1013 82/82 [==============================] - 0s 2ms/step - loss: 0.1056 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1094 34/82 [===========>..................] - ETA: 0s - loss: 0.0963 63/82 [======================>.......] - ETA: 0s - loss: 0.1030 82/82 [==============================] - 0s 2ms/step - loss: 0.1024 -> test with GAN.predict GAN tn, fp: 193, 12 GAN fn, tp: 3, 6 GAN f1 score: 0.444 GAN cohens kappa score: 0.411 -> test with 'LR' LR tn, fp: 186, 19 LR fn, tp: 5, 4 LR f1 score: 0.250 LR cohens kappa score: 0.202 LR average precision score: 0.254 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 8, 1 RF f1 score: 0.182 RF cohens kappa score: 0.169 -> test with 'GB' GB tn, fp: 202, 3 GB fn, tp: 8, 1 GB f1 score: 0.154 GB cohens kappa score: 0.131 -> test with 'KNN' KNN tn, fp: 189, 16 KNN fn, tp: 3, 6 KNN f1 score: 0.387 KNN cohens kappa score: 0.348 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.2755 43/82 [==============>...............] - ETA: 0s - loss: 0.3481  82/82 [==============================] - 0s 1ms/step - loss: 0.3212 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0015 43/82 [==============>...............] - ETA: 0s - loss: 0.2749 82/82 [==============================] - 0s 1ms/step - loss: 0.2163 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2248 46/82 [===============>..............] - ETA: 0s - loss: 0.1890 82/82 [==============================] - 0s 1ms/step - loss: 0.1709 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3087 45/82 [===============>..............] - ETA: 0s - loss: 0.1583 82/82 [==============================] - 0s 1ms/step - loss: 0.1447 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1365 44/82 [===============>..............] - ETA: 0s - loss: 0.1282 82/82 [==============================] - 0s 1ms/step - loss: 0.1313 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2203 45/82 [===============>..............] - ETA: 0s - loss: 0.1165 82/82 [==============================] - 0s 1ms/step - loss: 0.1186 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0490 42/82 [==============>...............] - ETA: 0s - loss: 0.1092 82/82 [==============================] - 0s 1ms/step - loss: 0.1128 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1652 36/82 [============>.................] - ETA: 0s - loss: 0.0981 73/82 [=========================>....] - ETA: 0s - loss: 0.1045 82/82 [==============================] - 0s 1ms/step - loss: 0.1054 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.2151 42/82 [==============>...............] - ETA: 0s - loss: 0.1125 82/82 [==============================] - ETA: 0s - loss: 0.1033 82/82 [==============================] - 0s 1ms/step - loss: 0.1033 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1197 43/82 [==============>...............] - ETA: 0s - loss: 0.0848 82/82 [==============================] - 0s 1ms/step - loss: 0.0982 -> test with GAN.predict GAN tn, fp: 198, 7 GAN fn, tp: 8, 1 GAN f1 score: 0.118 GAN cohens kappa score: 0.081 -> test with 'LR' LR tn, fp: 183, 22 LR fn, tp: 3, 6 LR f1 score: 0.324 LR cohens kappa score: 0.278 LR average precision score: 0.344 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.008 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: 0.000 -> test with 'KNN' KNN tn, fp: 191, 14 KNN fn, tp: 5, 4 KNN f1 score: 0.296 KNN cohens kappa score: 0.254 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 17s - loss: 0.1097 34/82 [===========>..................] - ETA: 0s - loss: 0.2790  66/82 [=======================>......] - ETA: 0s - loss: 0.3018 82/82 [==============================] - 0s 2ms/step - loss: 0.2788 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0011 29/82 [=========>....................] - ETA: 0s - loss: 0.1732 56/82 [===================>..........] - ETA: 0s - loss: 0.1545 82/82 [==============================] - 0s 2ms/step - loss: 0.1756 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0023 33/82 [===========>..................] - ETA: 0s - loss: 0.1526 65/82 [======================>.......] - ETA: 0s - loss: 0.1210 82/82 [==============================] - 0s 2ms/step - loss: 0.1299 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2292 34/82 [===========>..................] - ETA: 0s - loss: 0.1034 66/82 [=======================>......] - ETA: 0s - loss: 0.1084 82/82 [==============================] - 0s 2ms/step - loss: 0.1077 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0320 34/82 [===========>..................] - ETA: 0s - loss: 0.0904 64/82 [======================>.......] - ETA: 0s - loss: 0.0975 82/82 [==============================] - 0s 2ms/step - loss: 0.0996 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1421 32/82 [==========>...................] - ETA: 0s - loss: 0.0982 61/82 [=====================>........] - ETA: 0s - loss: 0.0902 82/82 [==============================] - 0s 2ms/step - loss: 0.0949 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1317 33/82 [===========>..................] - ETA: 0s - loss: 0.0820 63/82 [======================>.......] - ETA: 0s - loss: 0.0959 82/82 [==============================] - 0s 2ms/step - loss: 0.0917 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0169 34/82 [===========>..................] - ETA: 0s - loss: 0.0837 66/82 [=======================>......] - ETA: 0s - loss: 0.0931 82/82 [==============================] - 0s 2ms/step - loss: 0.0880 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0209 35/82 [===========>..................] - ETA: 0s - loss: 0.1004 68/82 [=======================>......] - ETA: 0s - loss: 0.0850 82/82 [==============================] - 0s 2ms/step - loss: 0.0860 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1197 32/82 [==========>...................] - ETA: 0s - loss: 0.0769 66/82 [=======================>......] - ETA: 0s - loss: 0.0778 82/82 [==============================] - 0s 2ms/step - loss: 0.0841 -> test with GAN.predict GAN tn, fp: 192, 13 GAN fn, tp: 7, 2 GAN f1 score: 0.167 GAN cohens kappa score: 0.120 -> test with 'LR' LR tn, fp: 178, 27 LR fn, tp: 0, 9 LR f1 score: 0.400 LR cohens kappa score: 0.357 LR average precision score: 0.508 -> test with 'RF' RF tn, fp: 205, 0 RF fn, tp: 8, 1 RF f1 score: 0.200 RF cohens kappa score: 0.193 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 8, 1 GB f1 score: 0.182 GB cohens kappa score: 0.169 -> test with 'KNN' KNN tn, fp: 185, 20 KNN fn, tp: 4, 5 KNN f1 score: 0.294 KNN cohens kappa score: 0.248 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 19s - loss: 0.7224 29/82 [=========>....................] - ETA: 0s - loss: 0.1721  62/82 [=====================>........] - ETA: 0s - loss: 0.2070 82/82 [==============================] - 0s 2ms/step - loss: 0.1798 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2824 29/82 [=========>....................] - ETA: 0s - loss: 0.0856 59/82 [====================>.........] - ETA: 0s - loss: 0.1185 82/82 [==============================] - 0s 2ms/step - loss: 0.1252 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0896 30/82 [=========>....................] - ETA: 0s - loss: 0.1233 58/82 [====================>.........] - ETA: 0s - loss: 0.1082 82/82 [==============================] - 0s 2ms/step - loss: 0.1016 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0110 32/82 [==========>...................] - ETA: 0s - loss: 0.0860 62/82 [=====================>........] - ETA: 0s - loss: 0.0972 82/82 [==============================] - 0s 2ms/step - loss: 0.0894 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1891 31/82 [==========>...................] - ETA: 0s - loss: 0.1045 62/82 [=====================>........] - ETA: 0s - loss: 0.0828 82/82 [==============================] - 0s 2ms/step - loss: 0.0794 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0964 31/82 [==========>...................] - ETA: 0s - loss: 0.0658 53/82 [==================>...........] - ETA: 0s - loss: 0.0885 77/82 [===========================>..] - ETA: 0s - loss: 0.0850 82/82 [==============================] - 0s 2ms/step - loss: 0.0808 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.3222 30/82 [=========>....................] - ETA: 0s - loss: 0.0865 57/82 [===================>..........] - ETA: 0s - loss: 0.0817 82/82 [==============================] - 0s 2ms/step - loss: 0.0746 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1452 32/82 [==========>...................] - ETA: 0s - loss: 0.0704 60/82 [====================>.........] - ETA: 0s - loss: 0.0756 82/82 [==============================] - 0s 2ms/step - loss: 0.0702 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0563 29/82 [=========>....................] - ETA: 0s - loss: 0.0818 59/82 [====================>.........] - ETA: 0s - loss: 0.0604 82/82 [==============================] - 0s 2ms/step - loss: 0.0687 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0448 30/82 [=========>....................] - ETA: 0s - loss: 0.0537 58/82 [====================>.........] - ETA: 0s - loss: 0.0550 82/82 [==============================] - 0s 2ms/step - loss: 0.0662 -> test with GAN.predict GAN tn, fp: 200, 5 GAN fn, tp: 6, 3 GAN f1 score: 0.353 GAN cohens kappa score: 0.326 -> test with 'LR' LR tn, fp: 195, 10 LR fn, tp: 5, 4 LR f1 score: 0.348 LR cohens kappa score: 0.313 LR average precision score: 0.220 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.021 -> test with 'GB' GB tn, fp: 202, 3 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.021 -> test with 'KNN' KNN tn, fp: 199, 6 KNN fn, tp: 6, 3 KNN f1 score: 0.333 KNN cohens kappa score: 0.304 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 15s - loss: 0.6204 36/82 [============>.................] - ETA: 0s - loss: 0.3565  71/82 [========================>.....] - ETA: 0s - loss: 0.3242 82/82 [==============================] - 0s 2ms/step - loss: 0.3138 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0510 37/82 [============>.................] - ETA: 0s - loss: 0.2811 64/82 [======================>.......] - ETA: 0s - loss: 0.2376 82/82 [==============================] - 0s 2ms/step - loss: 0.2180 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0197 35/82 [===========>..................] - ETA: 0s - loss: 0.1765 69/82 [========================>.....] - ETA: 0s - loss: 0.1452 82/82 [==============================] - 0s 2ms/step - loss: 0.1557 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2434 35/82 [===========>..................] - ETA: 0s - loss: 0.1355 71/82 [========================>.....] - ETA: 0s - loss: 0.1431 82/82 [==============================] - 0s 1ms/step - loss: 0.1319 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0055 33/82 [===========>..................] - ETA: 0s - loss: 0.1246 66/82 [=======================>......] - ETA: 0s - loss: 0.1222 82/82 [==============================] - 0s 2ms/step - loss: 0.1147 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1027 33/82 [===========>..................] - ETA: 0s - loss: 0.0966 66/82 [=======================>......] - ETA: 0s - loss: 0.1067 82/82 [==============================] - 0s 1ms/step - loss: 0.1062 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2198 34/82 [===========>..................] - ETA: 0s - loss: 0.0773 67/82 [=======================>......] - ETA: 0s - loss: 0.0972 82/82 [==============================] - 0s 1ms/step - loss: 0.0996 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1656 34/82 [===========>..................] - ETA: 0s - loss: 0.0988 67/82 [=======================>......] - ETA: 0s - loss: 0.0926 82/82 [==============================] - 0s 2ms/step - loss: 0.0936 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0077 34/82 [===========>..................] - ETA: 0s - loss: 0.0812 67/82 [=======================>......] - ETA: 0s - loss: 0.0792 82/82 [==============================] - 0s 2ms/step - loss: 0.0900 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0604 36/82 [============>.................] - ETA: 0s - loss: 0.0853 67/82 [=======================>......] - ETA: 0s - loss: 0.0817 82/82 [==============================] - 0s 2ms/step - loss: 0.0862 -> test with GAN.predict GAN tn, fp: 192, 11 GAN fn, tp: 5, 2 GAN f1 score: 0.200 GAN cohens kappa score: 0.164 -> test with 'LR' LR tn, fp: 177, 26 LR fn, tp: 2, 5 LR f1 score: 0.263 LR cohens kappa score: 0.221 LR average precision score: 0.450 -> test with 'RF' RF tn, fp: 196, 7 RF fn, tp: 6, 1 RF f1 score: 0.133 RF cohens kappa score: 0.101 -> test with 'GB' GB tn, fp: 197, 6 GB fn, tp: 5, 2 GB f1 score: 0.267 GB cohens kappa score: 0.240 -> test with 'KNN' KNN tn, fp: 190, 13 KNN fn, tp: 5, 2 KNN f1 score: 0.182 KNN cohens kappa score: 0.143 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 195, 31 LR fn, tp: 8, 9 LR f1 score: 0.545 LR cohens kappa score: 0.516 LR average precision score: 0.814 average: LR tn, fp: 184.08, 20.52 LR fn, tp: 3.08, 5.52 LR f1 score: 0.317 LR cohens kappa score: 0.274 LR average precision score: 0.380 minimum: LR tn, fp: 174, 10 LR fn, tp: 0, 1 LR f1 score: 0.056 LR cohens kappa score: -0.008 LR average precision score: 0.087 -----[ RF ]----- maximum: RF tn, fp: 205, 8 RF fn, tp: 9, 2 RF f1 score: 0.364 RF cohens kappa score: 0.354 average: RF tn, fp: 201.36, 3.24 RF fn, tp: 7.72, 0.88 RF f1 score: 0.133 RF cohens kappa score: 0.113 minimum: RF tn, fp: 195, 0 RF fn, tp: 5, 0 RF f1 score: 0.000 RF cohens kappa score: -0.041 -----[ GB ]----- maximum: GB tn, fp: 205, 11 GB fn, tp: 9, 4 GB f1 score: 0.333 GB cohens kappa score: 0.319 average: GB tn, fp: 201.92, 2.68 GB fn, tp: 7.56, 1.04 GB f1 score: 0.156 GB cohens kappa score: 0.138 minimum: GB tn, fp: 194, 0 GB fn, tp: 5, 0 GB f1 score: 0.000 GB cohens kappa score: -0.035 -----[ KNN ]----- maximum: KNN tn, fp: 199, 27 KNN fn, tp: 6, 7 KNN f1 score: 0.480 KNN cohens kappa score: 0.450 average: KNN tn, fp: 190.48, 14.12 KNN fn, tp: 4.56, 4.04 KNN f1 score: 0.302 KNN cohens kappa score: 0.262 minimum: KNN tn, fp: 178, 6 KNN fn, tp: 1, 1 KNN f1 score: 0.118 KNN cohens kappa score: 0.082 -----[ GAN ]----- maximum: GAN tn, fp: 202, 26 GAN fn, tp: 9, 6 GAN f1 score: 0.471 GAN cohens kappa score: 0.449 average: GAN tn, fp: 196.2, 8.4 GAN fn, tp: 5.96, 2.64 GAN f1 score: 0.267 GAN cohens kappa score: 0.234 minimum: GAN tn, fp: 179, 3 GAN fn, tp: 3, 0 GAN f1 score: 0.000 GAN cohens kappa score: -0.027