/////////////////////////////////////////// // Running convGAN-proximary-5 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: 0.9164 35/82 [===========>..................] - ETA: 0s - loss: 0.2039  70/82 [========================>.....] - ETA: 0s - loss: 0.1780 82/82 [==============================] - 0s 1ms/step - loss: 0.1726 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1154 35/82 [===========>..................] - ETA: 0s - loss: 0.1320 68/82 [=======================>......] - ETA: 0s - loss: 0.1398 82/82 [==============================] - 0s 2ms/step - loss: 0.1452 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1544 39/82 [=============>................] - ETA: 0s - loss: 0.1210 75/82 [==========================>...] - ETA: 0s - loss: 0.1339 82/82 [==============================] - 0s 1ms/step - loss: 0.1315 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3614 36/82 [============>.................] - ETA: 0s - loss: 0.1426 70/82 [========================>.....] - ETA: 0s - loss: 0.1237 82/82 [==============================] - 0s 1ms/step - loss: 0.1220 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0508 36/82 [============>.................] - ETA: 0s - loss: 0.1172 69/82 [========================>.....] - ETA: 0s - loss: 0.1202 82/82 [==============================] - 0s 1ms/step - loss: 0.1178 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1188 36/82 [============>.................] - ETA: 0s - loss: 0.0972 72/82 [=========================>....] - ETA: 0s - loss: 0.1094 82/82 [==============================] - 0s 1ms/step - loss: 0.1110 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0591 33/82 [===========>..................] - ETA: 0s - loss: 0.1028 62/82 [=====================>........] - ETA: 0s - loss: 0.1145 82/82 [==============================] - 0s 2ms/step - loss: 0.1063 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2754 33/82 [===========>..................] - ETA: 0s - loss: 0.1194 67/82 [=======================>......] - ETA: 0s - loss: 0.1085 82/82 [==============================] - 0s 2ms/step - loss: 0.1047 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0650 35/82 [===========>..................] - ETA: 0s - loss: 0.0961 70/82 [========================>.....] - ETA: 0s - loss: 0.0993 82/82 [==============================] - 0s 1ms/step - loss: 0.1019 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0777 31/82 [==========>...................] - ETA: 0s - loss: 0.0901 64/82 [======================>.......] - ETA: 0s - loss: 0.0978 82/82 [==============================] - 0s 2ms/step - loss: 0.0972 -> test with GAN.predict GAN tn, fp: 191, 14 GAN fn, tp: 5, 4 GAN f1 score: 0.296 GAN cohens kappa score: 0.254 -> test with 'LR' LR tn, fp: 171, 34 LR fn, tp: 5, 4 LR f1 score: 0.170 LR cohens kappa score: 0.110 LR average precision score: 0.084 -> test with 'RF' RF tn, fp: 200, 5 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.031 -> 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: 174, 31 KNN fn, tp: 4, 5 KNN f1 score: 0.222 KNN cohens kappa score: 0.166 ------ 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: 13s - loss: 0.8037 39/82 [=============>................] - ETA: 0s - loss: 0.4501  79/82 [===========================>..] - ETA: 0s - loss: 0.3606 82/82 [==============================] - 0s 1ms/step - loss: 0.3567 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2673 40/82 [=============>................] - ETA: 0s - loss: 0.2585 80/82 [============================>.] - ETA: 0s - loss: 0.2555 82/82 [==============================] - 0s 1ms/step - loss: 0.2541 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1005 40/82 [=============>................] - ETA: 0s - loss: 0.2117 77/82 [===========================>..] - ETA: 0s - loss: 0.2124 82/82 [==============================] - 0s 1ms/step - loss: 0.2229 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1944 38/82 [============>.................] - ETA: 0s - loss: 0.2049 77/82 [===========================>..] - ETA: 0s - loss: 0.2035 82/82 [==============================] - 0s 1ms/step - loss: 0.2022 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1486 41/82 [==============>...............] - ETA: 0s - loss: 0.1908 81/82 [============================>.] - ETA: 0s - loss: 0.1888 82/82 [==============================] - 0s 1ms/step - loss: 0.1903 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.6140 40/82 [=============>................] - ETA: 0s - loss: 0.2026 79/82 [===========================>..] - ETA: 0s - loss: 0.1831 82/82 [==============================] - 0s 1ms/step - loss: 0.1810 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2341 41/82 [==============>...............] - ETA: 0s - loss: 0.1773 76/82 [==========================>...] - ETA: 0s - loss: 0.1666 82/82 [==============================] - 0s 1ms/step - loss: 0.1715 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2542 37/82 [============>.................] - ETA: 0s - loss: 0.1580 72/82 [=========================>....] - ETA: 0s - loss: 0.1645 82/82 [==============================] - 0s 1ms/step - loss: 0.1642 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1617 39/82 [=============>................] - ETA: 0s - loss: 0.1499 76/82 [==========================>...] - ETA: 0s - loss: 0.1595 82/82 [==============================] - 0s 1ms/step - loss: 0.1593 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1160 35/82 [===========>..................] - ETA: 0s - loss: 0.1536 73/82 [=========================>....] - ETA: 0s - loss: 0.1614 82/82 [==============================] - 0s 1ms/step - loss: 0.1570 -> test with GAN.predict GAN tn, fp: 181, 24 GAN fn, tp: 2, 7 GAN f1 score: 0.350 GAN cohens kappa score: 0.305 -> test with 'LR' LR tn, fp: 155, 50 LR fn, tp: 1, 8 LR f1 score: 0.239 LR cohens kappa score: 0.179 LR average precision score: 0.406 -> 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: 167, 38 KNN fn, tp: 2, 7 KNN f1 score: 0.259 KNN cohens kappa score: 0.203 ------ 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: 1.2668 33/82 [===========>..................] - ETA: 0s - loss: 0.3436  69/82 [========================>.....] - ETA: 0s - loss: 0.3135 82/82 [==============================] - 0s 1ms/step - loss: 0.2979 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0871 37/82 [============>.................] - ETA: 0s - loss: 0.1967 70/82 [========================>.....] - ETA: 0s - loss: 0.2108 82/82 [==============================] - 0s 1ms/step - loss: 0.2130 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1081 35/82 [===========>..................] - ETA: 0s - loss: 0.1758 69/82 [========================>.....] - ETA: 0s - loss: 0.1791 82/82 [==============================] - 0s 1ms/step - loss: 0.1850 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1216 35/82 [===========>..................] - ETA: 0s - loss: 0.1715 68/82 [=======================>......] - ETA: 0s - loss: 0.1714 82/82 [==============================] - 0s 1ms/step - loss: 0.1650 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0526 34/82 [===========>..................] - ETA: 0s - loss: 0.1243 64/82 [======================>.......] - ETA: 0s - loss: 0.1560 82/82 [==============================] - 0s 2ms/step - loss: 0.1534 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.3033 38/82 [============>.................] - ETA: 0s - loss: 0.1390 74/82 [==========================>...] - ETA: 0s - loss: 0.1490 82/82 [==============================] - 0s 1ms/step - loss: 0.1456 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.3979 36/82 [============>.................] - ETA: 0s - loss: 0.1423 74/82 [==========================>...] - ETA: 0s - loss: 0.1445 82/82 [==============================] - 0s 1ms/step - loss: 0.1449 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0550 35/82 [===========>..................] - ETA: 0s - loss: 0.1353 67/82 [=======================>......] - ETA: 0s - loss: 0.1383 82/82 [==============================] - 0s 2ms/step - loss: 0.1341 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1090 38/82 [============>.................] - ETA: 0s - loss: 0.1312 71/82 [========================>.....] - ETA: 0s - loss: 0.1332 82/82 [==============================] - 0s 1ms/step - loss: 0.1299 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0611 36/82 [============>.................] - ETA: 0s - loss: 0.1364 70/82 [========================>.....] - ETA: 0s - loss: 0.1244 82/82 [==============================] - 0s 1ms/step - loss: 0.1263 -> test with GAN.predict GAN tn, fp: 190, 15 GAN fn, tp: 5, 4 GAN f1 score: 0.286 GAN cohens kappa score: 0.242 -> test with 'LR' LR tn, fp: 175, 30 LR fn, tp: 3, 6 LR f1 score: 0.267 LR cohens kappa score: 0.214 LR average precision score: 0.327 -> test with 'RF' RF tn, fp: 203, 2 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.016 -> 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: 175, 30 KNN fn, tp: 4, 5 KNN f1 score: 0.227 KNN cohens kappa score: 0.172 ------ 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: 12s - loss: 0.2789 37/82 [============>.................] - ETA: 0s - loss: 0.3020  76/82 [==========================>...] - ETA: 0s - loss: 0.2561 82/82 [==============================] - 0s 1ms/step - loss: 0.2495 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0586 36/82 [============>.................] - ETA: 0s - loss: 0.2338 71/82 [========================>.....] - ETA: 0s - loss: 0.2068 82/82 [==============================] - 0s 1ms/step - loss: 0.2028 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2718 40/82 [=============>................] - ETA: 0s - loss: 0.1600 79/82 [===========================>..] - ETA: 0s - loss: 0.1844 82/82 [==============================] - 0s 1ms/step - loss: 0.1853 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1173 40/82 [=============>................] - ETA: 0s - loss: 0.1669 79/82 [===========================>..] - ETA: 0s - loss: 0.1759 82/82 [==============================] - 0s 1ms/step - loss: 0.1761 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0932 36/82 [============>.................] - ETA: 0s - loss: 0.1570 71/82 [========================>.....] - ETA: 0s - loss: 0.1591 82/82 [==============================] - 0s 1ms/step - loss: 0.1661 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1573 41/82 [==============>...............] - ETA: 0s - loss: 0.1403 79/82 [===========================>..] - ETA: 0s - loss: 0.1587 82/82 [==============================] - 0s 1ms/step - loss: 0.1600 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2359 37/82 [============>.................] - ETA: 0s - loss: 0.1562 72/82 [=========================>....] - ETA: 0s - loss: 0.1536 82/82 [==============================] - 0s 1ms/step - loss: 0.1515 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2067 39/82 [=============>................] - ETA: 0s - loss: 0.1456 78/82 [===========================>..] - ETA: 0s - loss: 0.1447 82/82 [==============================] - 0s 1ms/step - loss: 0.1437 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1486 40/82 [=============>................] - ETA: 0s - loss: 0.1300 77/82 [===========================>..] - ETA: 0s - loss: 0.1415 82/82 [==============================] - 0s 1ms/step - loss: 0.1419 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1600 39/82 [=============>................] - ETA: 0s - loss: 0.1351 79/82 [===========================>..] - ETA: 0s - loss: 0.1368 82/82 [==============================] - 0s 1ms/step - loss: 0.1372 -> test with GAN.predict GAN tn, fp: 199, 6 GAN fn, tp: 5, 4 GAN f1 score: 0.421 GAN cohens kappa score: 0.394 -> test with 'LR' LR tn, fp: 186, 19 LR fn, tp: 0, 9 LR f1 score: 0.486 LR cohens kappa score: 0.452 LR average precision score: 0.673 -> 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: 184, 21 KNN fn, tp: 4, 5 KNN f1 score: 0.286 KNN cohens kappa score: 0.238 ------ 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: 12s - loss: 0.2122 31/82 [==========>...................] - ETA: 0s - loss: 0.2251  63/82 [======================>.......] - ETA: 0s - loss: 0.2064 82/82 [==============================] - 0s 2ms/step - loss: 0.2081 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0587 40/82 [=============>................] - ETA: 0s - loss: 0.1626 76/82 [==========================>...] - ETA: 0s - loss: 0.1750 82/82 [==============================] - 0s 1ms/step - loss: 0.1686 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2591 36/82 [============>.................] - ETA: 0s - loss: 0.1341 75/82 [==========================>...] - ETA: 0s - loss: 0.1546 82/82 [==============================] - 0s 1ms/step - loss: 0.1555 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0723 37/82 [============>.................] - ETA: 0s - loss: 0.1457 76/82 [==========================>...] - ETA: 0s - loss: 0.1475 82/82 [==============================] - 0s 1ms/step - loss: 0.1464 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1506 33/82 [===========>..................] - ETA: 0s - loss: 0.1330 70/82 [========================>.....] - ETA: 0s - loss: 0.1424 82/82 [==============================] - 0s 2ms/step - loss: 0.1416 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0533 33/82 [===========>..................] - ETA: 0s - loss: 0.1148 64/82 [======================>.......] - ETA: 0s - loss: 0.1301 82/82 [==============================] - 0s 2ms/step - loss: 0.1323 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1078 40/82 [=============>................] - ETA: 0s - loss: 0.1419 80/82 [============================>.] - ETA: 0s - loss: 0.1288 82/82 [==============================] - 0s 1ms/step - loss: 0.1275 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1280 41/82 [==============>...............] - ETA: 0s - loss: 0.1252 77/82 [===========================>..] - ETA: 0s - loss: 0.1266 82/82 [==============================] - 0s 1ms/step - loss: 0.1248 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0214 37/82 [============>.................] - ETA: 0s - loss: 0.1097 73/82 [=========================>....] - ETA: 0s - loss: 0.1185 82/82 [==============================] - 0s 1ms/step - loss: 0.1190 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1028 37/82 [============>.................] - ETA: 0s - loss: 0.1148 75/82 [==========================>...] - ETA: 0s - loss: 0.1120 82/82 [==============================] - 0s 1ms/step - loss: 0.1163 -> test with GAN.predict GAN tn, fp: 187, 16 GAN fn, tp: 3, 4 GAN f1 score: 0.296 GAN cohens kappa score: 0.260 -> test with 'LR' LR tn, fp: 170, 33 LR fn, tp: 2, 5 LR f1 score: 0.222 LR cohens kappa score: 0.176 LR average precision score: 0.204 -> test with 'RF' RF tn, fp: 200, 3 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.020 -> test with 'GB' GB tn, fp: 200, 3 GB fn, tp: 6, 1 GB f1 score: 0.182 GB cohens kappa score: 0.161 -> test with 'KNN' KNN tn, fp: 170, 33 KNN fn, tp: 2, 5 KNN f1 score: 0.222 KNN cohens kappa score: 0.176 ====== 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: 14s - loss: 0.4221 39/82 [=============>................] - ETA: 0s - loss: 0.2922  75/82 [==========================>...] - ETA: 0s - loss: 0.2608 82/82 [==============================] - 0s 1ms/step - loss: 0.2508 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.5967 39/82 [=============>................] - ETA: 0s - loss: 0.2161 73/82 [=========================>....] - ETA: 0s - loss: 0.2004 82/82 [==============================] - 0s 1ms/step - loss: 0.2020 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1999 37/82 [============>.................] - ETA: 0s - loss: 0.1643 75/82 [==========================>...] - ETA: 0s - loss: 0.1801 82/82 [==============================] - 0s 1ms/step - loss: 0.1850 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2612 36/82 [============>.................] - ETA: 0s - loss: 0.1929 74/82 [==========================>...] - ETA: 0s - loss: 0.1827 82/82 [==============================] - 0s 1ms/step - loss: 0.1769 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0908 39/82 [=============>................] - ETA: 0s - loss: 0.1674 77/82 [===========================>..] - ETA: 0s - loss: 0.1637 82/82 [==============================] - 0s 1ms/step - loss: 0.1650 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1582 39/82 [=============>................] - ETA: 0s - loss: 0.1450 76/82 [==========================>...] - ETA: 0s - loss: 0.1562 82/82 [==============================] - 0s 1ms/step - loss: 0.1573 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0503 37/82 [============>.................] - ETA: 0s - loss: 0.1456 76/82 [==========================>...] - ETA: 0s - loss: 0.1620 82/82 [==============================] - 0s 1ms/step - loss: 0.1571 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0568 39/82 [=============>................] - ETA: 0s - loss: 0.1333 78/82 [===========================>..] - ETA: 0s - loss: 0.1487 82/82 [==============================] - 0s 1ms/step - loss: 0.1476 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.3695 39/82 [=============>................] - ETA: 0s - loss: 0.1478 73/82 [=========================>....] - ETA: 0s - loss: 0.1428 82/82 [==============================] - 0s 1ms/step - loss: 0.1462 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1205 41/82 [==============>...............] - ETA: 0s - loss: 0.1419 77/82 [===========================>..] - ETA: 0s - loss: 0.1425 82/82 [==============================] - 0s 1ms/step - loss: 0.1421 -> test with GAN.predict GAN tn, fp: 180, 25 GAN fn, tp: 2, 7 GAN f1 score: 0.341 GAN cohens kappa score: 0.295 -> test with 'LR' LR tn, fp: 171, 34 LR fn, tp: 2, 7 LR f1 score: 0.280 LR cohens kappa score: 0.227 LR average precision score: 0.395 -> 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: 176, 29 KNN fn, tp: 3, 6 KNN f1 score: 0.273 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: 18s - loss: 0.2428 36/82 [============>.................] - ETA: 0s - loss: 0.2299  68/82 [=======================>......] - ETA: 0s - loss: 0.2145 82/82 [==============================] - 0s 2ms/step - loss: 0.2118 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1335 29/82 [=========>....................] - ETA: 0s - loss: 0.1705 58/82 [====================>.........] - ETA: 0s - loss: 0.1709 82/82 [==============================] - 0s 2ms/step - loss: 0.1689 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1334 36/82 [============>.................] - ETA: 0s - loss: 0.1656 69/82 [========================>.....] - ETA: 0s - loss: 0.1614 82/82 [==============================] - 0s 1ms/step - loss: 0.1540 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0634 35/82 [===========>..................] - ETA: 0s - loss: 0.1241 67/82 [=======================>......] - ETA: 0s - loss: 0.1497 82/82 [==============================] - 0s 2ms/step - loss: 0.1456 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0176 38/82 [============>.................] - ETA: 0s - loss: 0.1358 74/82 [==========================>...] - ETA: 0s - loss: 0.1325 82/82 [==============================] - 0s 1ms/step - loss: 0.1375 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0752 36/82 [============>.................] - ETA: 0s - loss: 0.1301 70/82 [========================>.....] - ETA: 0s - loss: 0.1261 82/82 [==============================] - 0s 1ms/step - loss: 0.1324 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2179 37/82 [============>.................] - ETA: 0s - loss: 0.1183 68/82 [=======================>......] - ETA: 0s - loss: 0.1247 82/82 [==============================] - 0s 1ms/step - loss: 0.1271 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0757 39/82 [=============>................] - ETA: 0s - loss: 0.1199 75/82 [==========================>...] - ETA: 0s - loss: 0.1276 82/82 [==============================] - 0s 1ms/step - loss: 0.1226 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1150 38/82 [============>.................] - ETA: 0s - loss: 0.1059 77/82 [===========================>..] - ETA: 0s - loss: 0.1164 82/82 [==============================] - 0s 1ms/step - loss: 0.1177 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0197 31/82 [==========>...................] - ETA: 0s - loss: 0.1134 66/82 [=======================>......] - ETA: 0s - loss: 0.1132 82/82 [==============================] - 0s 2ms/step - loss: 0.1149 -> 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: 167, 38 LR fn, tp: 3, 6 LR f1 score: 0.226 LR cohens kappa score: 0.168 LR average precision score: 0.355 -> 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: 175, 30 KNN fn, tp: 1, 8 KNN f1 score: 0.340 KNN cohens kappa score: 0.292 ------ 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: 13s - loss: 0.2248 42/82 [==============>...............] - ETA: 0s - loss: 0.2666  80/82 [============================>.] - ETA: 0s - loss: 0.2221 82/82 [==============================] - 0s 1ms/step - loss: 0.2199 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2000 40/82 [=============>................] - ETA: 0s - loss: 0.1892 78/82 [===========================>..] - ETA: 0s - loss: 0.1697 82/82 [==============================] - 0s 1ms/step - loss: 0.1690 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1787 39/82 [=============>................] - ETA: 0s - loss: 0.1505 74/82 [==========================>...] - ETA: 0s - loss: 0.1514 82/82 [==============================] - 0s 1ms/step - loss: 0.1492 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1248 41/82 [==============>...............] - ETA: 0s - loss: 0.1246 79/82 [===========================>..] - ETA: 0s - loss: 0.1429 82/82 [==============================] - 0s 1ms/step - loss: 0.1402 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1992 40/82 [=============>................] - ETA: 0s - loss: 0.1389 78/82 [===========================>..] - ETA: 0s - loss: 0.1357 82/82 [==============================] - 0s 1ms/step - loss: 0.1317 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1371 36/82 [============>.................] - ETA: 0s - loss: 0.1385 73/82 [=========================>....] - ETA: 0s - loss: 0.1265 82/82 [==============================] - 0s 1ms/step - loss: 0.1267 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1594 38/82 [============>.................] - ETA: 0s - loss: 0.1113 76/82 [==========================>...] - ETA: 0s - loss: 0.1242 82/82 [==============================] - 0s 1ms/step - loss: 0.1239 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2304 37/82 [============>.................] - ETA: 0s - loss: 0.1200 76/82 [==========================>...] - ETA: 0s - loss: 0.1225 82/82 [==============================] - 0s 1ms/step - loss: 0.1221 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0487 42/82 [==============>...............] - ETA: 0s - loss: 0.1219 82/82 [==============================] - 0s 1ms/step - loss: 0.1185 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1941 41/82 [==============>...............] - ETA: 0s - loss: 0.1140 80/82 [============================>.] - ETA: 0s - loss: 0.1167 82/82 [==============================] - 0s 1ms/step - loss: 0.1162 -> test with GAN.predict GAN tn, fp: 189, 16 GAN fn, tp: 8, 1 GAN f1 score: 0.077 GAN cohens kappa score: 0.023 -> test with 'LR' LR tn, fp: 176, 29 LR fn, tp: 3, 6 LR f1 score: 0.273 LR cohens kappa score: 0.221 LR average precision score: 0.234 -> test with 'RF' RF tn, fp: 203, 2 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.016 -> 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: 182, 23 KNN fn, tp: 4, 5 KNN f1 score: 0.270 KNN cohens kappa score: 0.221 ------ 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: 0.1316 33/82 [===========>..................] - ETA: 0s - loss: 0.2077  63/82 [======================>.......] - ETA: 0s - loss: 0.1889 82/82 [==============================] - 0s 2ms/step - loss: 0.1918 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0765 33/82 [===========>..................] - ETA: 0s - loss: 0.1610 61/82 [=====================>........] - ETA: 0s - loss: 0.1634 82/82 [==============================] - 0s 2ms/step - loss: 0.1529 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0842 34/82 [===========>..................] - ETA: 0s - loss: 0.1661 65/82 [======================>.......] - ETA: 0s - loss: 0.1482 82/82 [==============================] - 0s 2ms/step - loss: 0.1428 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0520 32/82 [==========>...................] - ETA: 0s - loss: 0.1349 65/82 [======================>.......] - ETA: 0s - loss: 0.1327 82/82 [==============================] - 0s 2ms/step - loss: 0.1316 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0642 31/82 [==========>...................] - ETA: 0s - loss: 0.1468 64/82 [======================>.......] - ETA: 0s - loss: 0.1342 82/82 [==============================] - 0s 2ms/step - loss: 0.1279 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0962 34/82 [===========>..................] - ETA: 0s - loss: 0.1240 68/82 [=======================>......] - ETA: 0s - loss: 0.1222 82/82 [==============================] - 0s 2ms/step - loss: 0.1235 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0341 33/82 [===========>..................] - ETA: 0s - loss: 0.1328 63/82 [======================>.......] - ETA: 0s - loss: 0.1176 82/82 [==============================] - 0s 2ms/step - loss: 0.1207 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1453 32/82 [==========>...................] - ETA: 0s - loss: 0.1128 63/82 [======================>.......] - ETA: 0s - loss: 0.1019 82/82 [==============================] - 0s 2ms/step - loss: 0.1138 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1018 32/82 [==========>...................] - ETA: 0s - loss: 0.1145 66/82 [=======================>......] - ETA: 0s - loss: 0.1150 82/82 [==============================] - 0s 2ms/step - loss: 0.1164 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0902 35/82 [===========>..................] - ETA: 0s - loss: 0.1218 65/82 [======================>.......] - ETA: 0s - loss: 0.1255 82/82 [==============================] - 0s 2ms/step - loss: 0.1140 -> test with GAN.predict GAN tn, fp: 192, 13 GAN fn, tp: 5, 4 GAN f1 score: 0.308 GAN cohens kappa score: 0.267 -> test with 'LR' LR tn, fp: 183, 22 LR fn, tp: 4, 5 LR f1 score: 0.278 LR cohens kappa score: 0.229 LR average precision score: 0.313 -> test with 'RF' RF tn, fp: 201, 4 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.027 -> 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: 182, 23 KNN fn, tp: 2, 7 KNN f1 score: 0.359 KNN cohens kappa score: 0.315 ------ 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: 11s - loss: 0.5284 37/82 [============>.................] - ETA: 0s - loss: 0.3910  76/82 [==========================>...] - ETA: 0s - loss: 0.3179 82/82 [==============================] - 0s 1ms/step - loss: 0.3135 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1856 43/82 [==============>...............] - ETA: 0s - loss: 0.2434 82/82 [==============================] - 0s 1ms/step - loss: 0.2383 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.4566 42/82 [==============>...............] - ETA: 0s - loss: 0.2073 82/82 [==============================] - 0s 1ms/step - loss: 0.2182 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2717 42/82 [==============>...............] - ETA: 0s - loss: 0.2092 82/82 [==============================] - 0s 1ms/step - loss: 0.2045 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1579 42/82 [==============>...............] - ETA: 0s - loss: 0.1888 82/82 [==============================] - ETA: 0s - loss: 0.1916 82/82 [==============================] - 0s 1ms/step - loss: 0.1916 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1652 43/82 [==============>...............] - ETA: 0s - loss: 0.1844 82/82 [==============================] - 0s 1ms/step - loss: 0.1834 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0590 42/82 [==============>...............] - ETA: 0s - loss: 0.1797 82/82 [==============================] - 0s 1ms/step - loss: 0.1764 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2631 43/82 [==============>...............] - ETA: 0s - loss: 0.1672 82/82 [==============================] - ETA: 0s - loss: 0.1726 82/82 [==============================] - 0s 1ms/step - loss: 0.1726 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0860 41/82 [==============>...............] - ETA: 0s - loss: 0.1651 82/82 [==============================] - 0s 1ms/step - loss: 0.1662 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1216 42/82 [==============>...............] - ETA: 0s - loss: 0.1880 82/82 [==============================] - 0s 1ms/step - loss: 0.1650 -> test with GAN.predict GAN tn, fp: 178, 25 GAN fn, tp: 1, 6 GAN f1 score: 0.316 GAN cohens kappa score: 0.276 -> test with 'LR' LR tn, fp: 164, 39 LR fn, tp: 0, 7 LR f1 score: 0.264 LR cohens kappa score: 0.219 LR average precision score: 0.408 -> test with 'RF' RF tn, fp: 202, 1 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.008 -> 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: 174, 29 KNN fn, tp: 1, 6 KNN f1 score: 0.286 KNN cohens kappa score: 0.244 ====== 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: 23s - loss: 0.8492 16/82 [====>.........................] - ETA: 0s - loss: 0.5961  41/82 [==============>...............] - ETA: 0s - loss: 0.4902 67/82 [=======================>......] - ETA: 0s - loss: 0.4329 82/82 [==============================] - 0s 2ms/step - loss: 0.4037 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2750 26/82 [========>.....................] - ETA: 0s - loss: 0.2798 51/82 [=================>............] - ETA: 0s - loss: 0.2725 76/82 [==========================>...] - ETA: 0s - loss: 0.2778 82/82 [==============================] - 0s 2ms/step - loss: 0.2897 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.4645 27/82 [========>.....................] - ETA: 0s - loss: 0.2317 53/82 [==================>...........] - ETA: 0s - loss: 0.2545 78/82 [===========================>..] - ETA: 0s - loss: 0.2671 82/82 [==============================] - 0s 2ms/step - loss: 0.2675 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1276 33/82 [===========>..................] - ETA: 0s - loss: 0.2634 61/82 [=====================>........] - ETA: 0s - loss: 0.2594 82/82 [==============================] - 0s 2ms/step - loss: 0.2513 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1179 35/82 [===========>..................] - ETA: 0s - loss: 0.2473 65/82 [======================>.......] - ETA: 0s - loss: 0.2357 82/82 [==============================] - 0s 2ms/step - loss: 0.2361 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1370 28/82 [=========>....................] - ETA: 0s - loss: 0.2315 56/82 [===================>..........] - ETA: 0s - loss: 0.2325 82/82 [==============================] - ETA: 0s - loss: 0.2260 82/82 [==============================] - 0s 2ms/step - loss: 0.2260 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0959 29/82 [=========>....................] - ETA: 0s - loss: 0.2142 60/82 [====================>.........] - ETA: 0s - loss: 0.2198 82/82 [==============================] - 0s 2ms/step - loss: 0.2162 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0710 30/82 [=========>....................] - ETA: 0s - loss: 0.2082 57/82 [===================>..........] - ETA: 0s - loss: 0.2011 82/82 [==============================] - 0s 2ms/step - loss: 0.2097 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.2192 36/82 [============>.................] - ETA: 0s - loss: 0.1932 68/82 [=======================>......] - ETA: 0s - loss: 0.2038 82/82 [==============================] - 0s 2ms/step - loss: 0.2027 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1560 36/82 [============>.................] - ETA: 0s - loss: 0.1782 69/82 [========================>.....] - ETA: 0s - loss: 0.1836 82/82 [==============================] - 0s 1ms/step - loss: 0.1939 -> test with GAN.predict GAN tn, fp: 201, 4 GAN fn, tp: 3, 6 GAN f1 score: 0.632 GAN cohens kappa score: 0.615 -> 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: 0.719 -> 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: 193, 12 KNN fn, tp: 2, 7 KNN f1 score: 0.500 KNN cohens kappa score: 0.470 ------ 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: 14s - loss: 0.0706 40/82 [=============>................] - ETA: 0s - loss: 0.1976  80/82 [============================>.] - ETA: 0s - loss: 0.1920 82/82 [==============================] - 0s 1ms/step - loss: 0.1895 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1319 37/82 [============>.................] - ETA: 0s - loss: 0.1662 74/82 [==========================>...] - ETA: 0s - loss: 0.1399 82/82 [==============================] - 0s 1ms/step - loss: 0.1398 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1012 39/82 [=============>................] - ETA: 0s - loss: 0.1401 78/82 [===========================>..] - ETA: 0s - loss: 0.1161 82/82 [==============================] - 0s 1ms/step - loss: 0.1176 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1004 40/82 [=============>................] - ETA: 0s - loss: 0.1027 78/82 [===========================>..] - ETA: 0s - loss: 0.1052 82/82 [==============================] - 0s 1ms/step - loss: 0.1027 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0766 41/82 [==============>...............] - ETA: 0s - loss: 0.1080 81/82 [============================>.] - ETA: 0s - loss: 0.0977 82/82 [==============================] - 0s 1ms/step - loss: 0.0970 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1032 40/82 [=============>................] - ETA: 0s - loss: 0.0929 77/82 [===========================>..] - ETA: 0s - loss: 0.0920 82/82 [==============================] - 0s 1ms/step - loss: 0.0944 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1774 36/82 [============>.................] - ETA: 0s - loss: 0.0792 71/82 [========================>.....] - ETA: 0s - loss: 0.0939 82/82 [==============================] - 0s 1ms/step - loss: 0.0905 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0270 38/82 [============>.................] - ETA: 0s - loss: 0.0872 66/82 [=======================>......] - ETA: 0s - loss: 0.0909 82/82 [==============================] - 0s 2ms/step - loss: 0.0860 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0411 39/82 [=============>................] - ETA: 0s - loss: 0.0750 77/82 [===========================>..] - ETA: 0s - loss: 0.0799 82/82 [==============================] - 0s 1ms/step - loss: 0.0814 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1546 41/82 [==============>...............] - ETA: 0s - loss: 0.0796 80/82 [============================>.] - ETA: 0s - loss: 0.0785 82/82 [==============================] - 0s 1ms/step - loss: 0.0797 -> test with GAN.predict GAN tn, fp: 189, 16 GAN fn, tp: 4, 5 GAN f1 score: 0.333 GAN cohens kappa score: 0.292 -> test with 'LR' LR tn, fp: 166, 39 LR fn, tp: 2, 7 LR f1 score: 0.255 LR cohens kappa score: 0.198 LR average precision score: 0.192 -> test with 'RF' RF tn, fp: 195, 10 RF fn, tp: 8, 1 RF f1 score: 0.100 RF cohens kappa score: 0.056 -> test with 'GB' GB tn, fp: 191, 14 GB fn, tp: 5, 4 GB f1 score: 0.296 GB cohens kappa score: 0.254 -> test with 'KNN' KNN tn, fp: 172, 33 KNN fn, tp: 4, 5 KNN f1 score: 0.213 KNN cohens kappa score: 0.155 ------ 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: 15s - loss: 0.2134 29/82 [=========>....................] - ETA: 0s - loss: 0.3438  57/82 [===================>..........] - ETA: 0s - loss: 0.3048 82/82 [==============================] - 0s 2ms/step - loss: 0.2746 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2097 32/82 [==========>...................] - ETA: 0s - loss: 0.2203 65/82 [======================>.......] - ETA: 0s - loss: 0.2100 82/82 [==============================] - 0s 2ms/step - loss: 0.2196 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0829 30/82 [=========>....................] - ETA: 0s - loss: 0.2162 61/82 [=====================>........] - ETA: 0s - loss: 0.1987 82/82 [==============================] - 0s 2ms/step - loss: 0.1997 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2071 32/82 [==========>...................] - ETA: 0s - loss: 0.1833 63/82 [======================>.......] - ETA: 0s - loss: 0.1765 82/82 [==============================] - 0s 2ms/step - loss: 0.1895 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2124 34/82 [===========>..................] - ETA: 0s - loss: 0.1882 67/82 [=======================>......] - ETA: 0s - loss: 0.1839 82/82 [==============================] - 0s 2ms/step - loss: 0.1826 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1397 35/82 [===========>..................] - ETA: 0s - loss: 0.1834 67/82 [=======================>......] - ETA: 0s - loss: 0.1823 82/82 [==============================] - 0s 2ms/step - loss: 0.1765 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.4504 38/82 [============>.................] - ETA: 0s - loss: 0.1795 71/82 [========================>.....] - ETA: 0s - loss: 0.1712 82/82 [==============================] - 0s 1ms/step - loss: 0.1721 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0823 34/82 [===========>..................] - ETA: 0s - loss: 0.1570 71/82 [========================>.....] - ETA: 0s - loss: 0.1693 82/82 [==============================] - 0s 1ms/step - loss: 0.1668 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1807 34/82 [===========>..................] - ETA: 0s - loss: 0.1639 68/82 [=======================>......] - ETA: 0s - loss: 0.1668 82/82 [==============================] - 0s 2ms/step - loss: 0.1621 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1836 34/82 [===========>..................] - ETA: 0s - loss: 0.1450 69/82 [========================>.....] - ETA: 0s - loss: 0.1586 82/82 [==============================] - 0s 1ms/step - loss: 0.1579 -> test with GAN.predict GAN tn, fp: 189, 16 GAN fn, tp: 4, 5 GAN f1 score: 0.333 GAN cohens kappa score: 0.292 -> 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: 0.355 -> 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: 173, 32 KNN fn, tp: 3, 6 KNN f1 score: 0.255 KNN cohens kappa score: 0.201 ------ 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: 14s - loss: 0.2445 40/82 [=============>................] - ETA: 0s - loss: 0.3131  80/82 [============================>.] - ETA: 0s - loss: 0.2705 82/82 [==============================] - 0s 1ms/step - loss: 0.2753 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0762 40/82 [=============>................] - ETA: 0s - loss: 0.2319 78/82 [===========================>..] - ETA: 0s - loss: 0.2201 82/82 [==============================] - 0s 1ms/step - loss: 0.2183 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2500 40/82 [=============>................] - ETA: 0s - loss: 0.2026 78/82 [===========================>..] - ETA: 0s - loss: 0.2017 82/82 [==============================] - 0s 1ms/step - loss: 0.2037 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0835 41/82 [==============>...............] - ETA: 0s - loss: 0.1898 79/82 [===========================>..] - ETA: 0s - loss: 0.1896 82/82 [==============================] - 0s 1ms/step - loss: 0.1911 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2216 30/82 [=========>....................] - ETA: 0s - loss: 0.1931 70/82 [========================>.....] - ETA: 0s - loss: 0.1838 82/82 [==============================] - 0s 2ms/step - loss: 0.1805 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0434 33/82 [===========>..................] - ETA: 0s - loss: 0.1794 63/82 [======================>.......] - ETA: 0s - loss: 0.1705 82/82 [==============================] - 0s 2ms/step - loss: 0.1766 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1667 40/82 [=============>................] - ETA: 0s - loss: 0.1810 77/82 [===========================>..] - ETA: 0s - loss: 0.1702 82/82 [==============================] - 0s 1ms/step - loss: 0.1719 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1246 39/82 [=============>................] - ETA: 0s - loss: 0.1744 77/82 [===========================>..] - ETA: 0s - loss: 0.1652 82/82 [==============================] - 0s 1ms/step - loss: 0.1654 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0828 39/82 [=============>................] - ETA: 0s - loss: 0.1380 77/82 [===========================>..] - ETA: 0s - loss: 0.1593 82/82 [==============================] - 0s 1ms/step - loss: 0.1611 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1250 40/82 [=============>................] - ETA: 0s - loss: 0.1552 79/82 [===========================>..] - ETA: 0s - loss: 0.1583 82/82 [==============================] - 0s 1ms/step - loss: 0.1576 -> 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: 174, 31 LR fn, tp: 4, 5 LR f1 score: 0.222 LR cohens kappa score: 0.166 LR average precision score: 0.345 -> 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: 182, 23 KNN fn, tp: 4, 5 KNN f1 score: 0.270 KNN cohens kappa score: 0.221 ------ 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: 17s - loss: 0.3246 32/82 [==========>...................] - ETA: 0s - loss: 0.2244  65/82 [======================>.......] - ETA: 0s - loss: 0.2058 82/82 [==============================] - 0s 2ms/step - loss: 0.2051 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1608 31/82 [==========>...................] - ETA: 0s - loss: 0.1487 59/82 [====================>.........] - ETA: 0s - loss: 0.1501 82/82 [==============================] - 0s 2ms/step - loss: 0.1497 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0251 31/82 [==========>...................] - ETA: 0s - loss: 0.1194 63/82 [======================>.......] - ETA: 0s - loss: 0.1352 82/82 [==============================] - 0s 2ms/step - loss: 0.1347 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0542 33/82 [===========>..................] - ETA: 0s - loss: 0.1295 67/82 [=======================>......] - ETA: 0s - loss: 0.1265 82/82 [==============================] - 0s 2ms/step - loss: 0.1266 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0402 32/82 [==========>...................] - ETA: 0s - loss: 0.1041 63/82 [======================>.......] - ETA: 0s - loss: 0.1226 82/82 [==============================] - 0s 2ms/step - loss: 0.1222 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0446 36/82 [============>.................] - ETA: 0s - loss: 0.1184 73/82 [=========================>....] - ETA: 0s - loss: 0.1084 82/82 [==============================] - 0s 1ms/step - loss: 0.1161 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0480 36/82 [============>.................] - ETA: 0s - loss: 0.0945 71/82 [========================>.....] - ETA: 0s - loss: 0.1131 82/82 [==============================] - 0s 1ms/step - loss: 0.1129 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0288 31/82 [==========>...................] - ETA: 0s - loss: 0.1381 66/82 [=======================>......] - ETA: 0s - loss: 0.1160 82/82 [==============================] - 0s 2ms/step - loss: 0.1121 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0640 35/82 [===========>..................] - ETA: 0s - loss: 0.1191 72/82 [=========================>....] - ETA: 0s - loss: 0.1081 82/82 [==============================] - 0s 1ms/step - loss: 0.1070 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0546 38/82 [============>.................] - ETA: 0s - loss: 0.0999 73/82 [=========================>....] - ETA: 0s - loss: 0.1084 82/82 [==============================] - 0s 1ms/step - loss: 0.1051 -> test with GAN.predict GAN tn, fp: 186, 17 GAN fn, tp: 5, 2 GAN f1 score: 0.154 GAN cohens kappa score: 0.111 -> test with 'LR' LR tn, fp: 161, 42 LR fn, tp: 1, 6 LR f1 score: 0.218 LR cohens kappa score: 0.170 LR average precision score: 0.244 -> test with 'RF' RF tn, fp: 197, 6 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.032 -> test with 'GB' GB tn, fp: 199, 4 GB fn, tp: 6, 1 GB f1 score: 0.167 GB cohens kappa score: 0.143 -> test with 'KNN' KNN tn, fp: 180, 23 KNN fn, tp: 3, 4 KNN f1 score: 0.235 KNN cohens kappa score: 0.193 ====== 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: 16s - loss: 0.7434 35/82 [===========>..................] - ETA: 0s - loss: 0.2439  74/82 [==========================>...] - ETA: 0s - loss: 0.2324 82/82 [==============================] - 0s 1ms/step - loss: 0.2255 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0615 40/82 [=============>................] - ETA: 0s - loss: 0.1453 79/82 [===========================>..] - ETA: 0s - loss: 0.1735 82/82 [==============================] - 0s 1ms/step - loss: 0.1724 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1299 41/82 [==============>...............] - ETA: 0s - loss: 0.1782 79/82 [===========================>..] - ETA: 0s - loss: 0.1592 82/82 [==============================] - 0s 1ms/step - loss: 0.1568 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2965 36/82 [============>.................] - ETA: 0s - loss: 0.1517 73/82 [=========================>....] - ETA: 0s - loss: 0.1511 82/82 [==============================] - 0s 1ms/step - loss: 0.1484 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1499 39/82 [=============>................] - ETA: 0s - loss: 0.1546 76/82 [==========================>...] - ETA: 0s - loss: 0.1417 82/82 [==============================] - 0s 1ms/step - loss: 0.1413 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2835 39/82 [=============>................] - ETA: 0s - loss: 0.1374 79/82 [===========================>..] - ETA: 0s - loss: 0.1348 82/82 [==============================] - 0s 1ms/step - loss: 0.1318 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.3789 39/82 [=============>................] - ETA: 0s - loss: 0.1318 76/82 [==========================>...] - ETA: 0s - loss: 0.1269 82/82 [==============================] - 0s 1ms/step - loss: 0.1265 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0398 39/82 [=============>................] - ETA: 0s - loss: 0.1313 76/82 [==========================>...] - ETA: 0s - loss: 0.1250 82/82 [==============================] - 0s 1ms/step - loss: 0.1247 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.6100 35/82 [===========>..................] - ETA: 0s - loss: 0.1199 73/82 [=========================>....] - ETA: 0s - loss: 0.1210 82/82 [==============================] - 0s 1ms/step - loss: 0.1180 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1100 38/82 [============>.................] - ETA: 0s - loss: 0.1199 77/82 [===========================>..] - ETA: 0s - loss: 0.1194 82/82 [==============================] - 0s 1ms/step - loss: 0.1157 -> test with GAN.predict GAN tn, fp: 192, 13 GAN fn, tp: 5, 4 GAN f1 score: 0.308 GAN cohens kappa score: 0.267 -> test with 'LR' LR tn, fp: 168, 37 LR fn, tp: 1, 8 LR f1 score: 0.296 LR cohens kappa score: 0.243 LR average precision score: 0.221 -> test with 'RF' RF tn, fp: 199, 6 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.035 -> test with 'GB' GB tn, fp: 201, 4 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.027 -> test with 'KNN' KNN tn, fp: 182, 23 KNN fn, tp: 4, 5 KNN f1 score: 0.270 KNN cohens kappa score: 0.221 ------ 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: 13s - loss: 0.8841 35/82 [===========>..................] - ETA: 0s - loss: 0.2316  68/82 [=======================>......] - ETA: 0s - loss: 0.1935 82/82 [==============================] - 0s 2ms/step - loss: 0.1845 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1649 34/82 [===========>..................] - ETA: 0s - loss: 0.1268 67/82 [=======================>......] - ETA: 0s - loss: 0.1423 82/82 [==============================] - 0s 2ms/step - loss: 0.1385 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1781 35/82 [===========>..................] - ETA: 0s - loss: 0.1207 69/82 [========================>.....] - ETA: 0s - loss: 0.1189 82/82 [==============================] - 0s 2ms/step - loss: 0.1236 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1463 36/82 [============>.................] - ETA: 0s - loss: 0.1192 71/82 [========================>.....] - ETA: 0s - loss: 0.1139 82/82 [==============================] - 0s 1ms/step - loss: 0.1170 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0961 37/82 [============>.................] - ETA: 0s - loss: 0.1264 70/82 [========================>.....] - ETA: 0s - loss: 0.1138 82/82 [==============================] - 0s 1ms/step - loss: 0.1143 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0303 36/82 [============>.................] - ETA: 0s - loss: 0.0962 65/82 [======================>.......] - ETA: 0s - loss: 0.0991 82/82 [==============================] - 0s 2ms/step - loss: 0.1083 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0966 34/82 [===========>..................] - ETA: 0s - loss: 0.1032 69/82 [========================>.....] - ETA: 0s - loss: 0.1075 82/82 [==============================] - 0s 2ms/step - loss: 0.1054 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2336 35/82 [===========>..................] - ETA: 0s - loss: 0.0980 68/82 [=======================>......] - ETA: 0s - loss: 0.1018 82/82 [==============================] - 0s 2ms/step - loss: 0.1030 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0487 36/82 [============>.................] - ETA: 0s - loss: 0.1025 69/82 [========================>.....] - ETA: 0s - loss: 0.0961 82/82 [==============================] - 0s 1ms/step - loss: 0.0995 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0758 34/82 [===========>..................] - ETA: 0s - loss: 0.0999 67/82 [=======================>......] - ETA: 0s - loss: 0.0992 82/82 [==============================] - 0s 2ms/step - loss: 0.0993 -> test with GAN.predict GAN tn, fp: 195, 10 GAN fn, tp: 5, 4 GAN f1 score: 0.348 GAN cohens kappa score: 0.313 -> 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: 0.546 -> 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: 205, 0 GB fn, tp: 8, 1 GB f1 score: 0.200 GB cohens kappa score: 0.193 -> test with 'KNN' KNN tn, fp: 181, 24 KNN fn, tp: 4, 5 KNN f1 score: 0.263 KNN cohens kappa score: 0.213 ------ 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: 12s - loss: 0.3874 40/82 [=============>................] - ETA: 0s - loss: 0.1897  79/82 [===========================>..] - ETA: 0s - loss: 0.1859 82/82 [==============================] - 0s 1ms/step - loss: 0.1841 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0424 38/82 [============>.................] - ETA: 0s - loss: 0.1499 76/82 [==========================>...] - ETA: 0s - loss: 0.1530 82/82 [==============================] - 0s 1ms/step - loss: 0.1506 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1468 40/82 [=============>................] - ETA: 0s - loss: 0.1278 77/82 [===========================>..] - ETA: 0s - loss: 0.1277 82/82 [==============================] - 0s 1ms/step - loss: 0.1363 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0986 43/82 [==============>...............] - ETA: 0s - loss: 0.1325 82/82 [==============================] - ETA: 0s - loss: 0.1283 82/82 [==============================] - 0s 1ms/step - loss: 0.1283 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2165 38/82 [============>.................] - ETA: 0s - loss: 0.1210 76/82 [==========================>...] - ETA: 0s - loss: 0.1251 82/82 [==============================] - 0s 1ms/step - loss: 0.1242 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2127 41/82 [==============>...............] - ETA: 0s - loss: 0.1240 78/82 [===========================>..] - ETA: 0s - loss: 0.1185 82/82 [==============================] - 0s 1ms/step - loss: 0.1186 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1159 39/82 [=============>................] - ETA: 0s - loss: 0.1140 78/82 [===========================>..] - ETA: 0s - loss: 0.1146 82/82 [==============================] - 0s 1ms/step - loss: 0.1150 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0355 38/82 [============>.................] - ETA: 0s - loss: 0.0968 76/82 [==========================>...] - ETA: 0s - loss: 0.1096 82/82 [==============================] - 0s 1ms/step - loss: 0.1112 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0478 34/82 [===========>..................] - ETA: 0s - loss: 0.1095 68/82 [=======================>......] - ETA: 0s - loss: 0.1080 82/82 [==============================] - 0s 1ms/step - loss: 0.1096 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0719 32/82 [==========>...................] - ETA: 0s - loss: 0.1100 71/82 [========================>.....] - ETA: 0s - loss: 0.1083 82/82 [==============================] - 0s 1ms/step - loss: 0.1069 -> test with GAN.predict GAN tn, fp: 187, 18 GAN fn, tp: 4, 5 GAN f1 score: 0.312 GAN cohens kappa score: 0.268 -> test with 'LR' LR tn, fp: 168, 37 LR fn, tp: 4, 5 LR f1 score: 0.196 LR cohens kappa score: 0.136 LR average precision score: 0.199 -> 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: 8, 1 GB f1 score: 0.200 GB cohens kappa score: 0.193 -> test with 'KNN' KNN tn, fp: 178, 27 KNN fn, tp: 4, 5 KNN f1 score: 0.244 KNN cohens kappa score: 0.191 ------ 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: 15s - loss: 0.1647 35/82 [===========>..................] - ETA: 0s - loss: 0.1708  73/82 [=========================>....] - ETA: 0s - loss: 0.1627 82/82 [==============================] - 0s 1ms/step - loss: 0.1595 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0806 34/82 [===========>..................] - ETA: 0s - loss: 0.1258 69/82 [========================>.....] - ETA: 0s - loss: 0.1272 82/82 [==============================] - 0s 2ms/step - loss: 0.1298 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0501 32/82 [==========>...................] - ETA: 0s - loss: 0.1185 58/82 [====================>.........] - ETA: 0s - loss: 0.1121 82/82 [==============================] - 0s 2ms/step - loss: 0.1170 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1087 33/82 [===========>..................] - ETA: 0s - loss: 0.1083 69/82 [========================>.....] - ETA: 0s - loss: 0.1044 82/82 [==============================] - 0s 2ms/step - loss: 0.1101 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1069 35/82 [===========>..................] - ETA: 0s - loss: 0.1180 66/82 [=======================>......] - ETA: 0s - loss: 0.1128 82/82 [==============================] - 0s 2ms/step - loss: 0.1079 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0880 36/82 [============>.................] - ETA: 0s - loss: 0.1069 70/82 [========================>.....] - ETA: 0s - loss: 0.1022 82/82 [==============================] - 0s 1ms/step - loss: 0.1043 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1447 36/82 [============>.................] - ETA: 0s - loss: 0.0934 72/82 [=========================>....] - ETA: 0s - loss: 0.1091 82/82 [==============================] - 0s 1ms/step - loss: 0.1025 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0544 34/82 [===========>..................] - ETA: 0s - loss: 0.1117 70/82 [========================>.....] - ETA: 0s - loss: 0.1059 82/82 [==============================] - 0s 1ms/step - loss: 0.1002 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1113 36/82 [============>.................] - ETA: 0s - loss: 0.1094 71/82 [========================>.....] - ETA: 0s - loss: 0.0960 82/82 [==============================] - 0s 1ms/step - loss: 0.0966 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0616 34/82 [===========>..................] - ETA: 0s - loss: 0.0847 68/82 [=======================>......] - ETA: 0s - loss: 0.0917 82/82 [==============================] - 0s 2ms/step - loss: 0.0929 -> test with GAN.predict GAN tn, fp: 195, 10 GAN fn, tp: 5, 4 GAN f1 score: 0.348 GAN cohens kappa score: 0.313 -> test with 'LR' LR tn, fp: 175, 30 LR fn, tp: 1, 8 LR f1 score: 0.340 LR cohens kappa score: 0.292 LR average precision score: 0.402 -> 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: 203, 2 GB fn, tp: 6, 3 GB f1 score: 0.429 GB cohens kappa score: 0.411 -> test with 'KNN' KNN tn, fp: 183, 22 KNN fn, tp: 2, 7 KNN f1 score: 0.368 KNN cohens kappa score: 0.325 ------ 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: 11s - loss: 0.2452 42/82 [==============>...............] - ETA: 0s - loss: 0.3296  81/82 [============================>.] - ETA: 0s - loss: 0.2943 82/82 [==============================] - 0s 1ms/step - loss: 0.2940 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1815 42/82 [==============>...............] - ETA: 0s - loss: 0.2281 82/82 [==============================] - 0s 1ms/step - loss: 0.2232 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0787 41/82 [==============>...............] - ETA: 0s - loss: 0.2016 80/82 [============================>.] - ETA: 0s - loss: 0.1962 82/82 [==============================] - 0s 1ms/step - loss: 0.1965 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1945 41/82 [==============>...............] - ETA: 0s - loss: 0.1842 82/82 [==============================] - 0s 1ms/step - loss: 0.1816 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1092 42/82 [==============>...............] - ETA: 0s - loss: 0.1631 82/82 [==============================] - 0s 1ms/step - loss: 0.1701 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2869 43/82 [==============>...............] - ETA: 0s - loss: 0.1544 82/82 [==============================] - 0s 1ms/step - loss: 0.1632 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1429 40/82 [=============>................] - ETA: 0s - loss: 0.1492 80/82 [============================>.] - ETA: 0s - loss: 0.1590 82/82 [==============================] - 0s 1ms/step - loss: 0.1587 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1473 42/82 [==============>...............] - ETA: 0s - loss: 0.1659 82/82 [==============================] - ETA: 0s - loss: 0.1521 82/82 [==============================] - 0s 1ms/step - loss: 0.1521 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0769 38/82 [============>.................] - ETA: 0s - loss: 0.1460 78/82 [===========================>..] - ETA: 0s - loss: 0.1500 82/82 [==============================] - 0s 1ms/step - loss: 0.1489 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1277 41/82 [==============>...............] - ETA: 0s - loss: 0.1490 76/82 [==========================>...] - ETA: 0s - loss: 0.1397 82/82 [==============================] - 0s 1ms/step - loss: 0.1431 -> test with GAN.predict GAN tn, fp: 181, 22 GAN fn, tp: 3, 4 GAN f1 score: 0.242 GAN cohens kappa score: 0.200 -> test with 'LR' LR tn, fp: 168, 35 LR fn, tp: 1, 6 LR f1 score: 0.250 LR cohens kappa score: 0.205 LR average precision score: 0.507 -> 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: 200, 3 GB fn, tp: 6, 1 GB f1 score: 0.182 GB cohens kappa score: 0.161 -> test with 'KNN' KNN tn, fp: 165, 38 KNN fn, tp: 3, 4 KNN f1 score: 0.163 KNN cohens kappa score: 0.113 ====== 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: 13s - loss: 0.5359 33/82 [===========>..................] - ETA: 0s - loss: 0.4556  68/82 [=======================>......] - ETA: 0s - loss: 0.3653 82/82 [==============================] - 0s 2ms/step - loss: 0.3554 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0604 37/82 [============>.................] - ETA: 0s - loss: 0.2508 70/82 [========================>.....] - ETA: 0s - loss: 0.2433 82/82 [==============================] - 0s 1ms/step - loss: 0.2381 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.6137 33/82 [===========>..................] - ETA: 0s - loss: 0.2349 65/82 [======================>.......] - ETA: 0s - loss: 0.2028 82/82 [==============================] - 0s 2ms/step - loss: 0.2079 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.7613 33/82 [===========>..................] - ETA: 0s - loss: 0.1918 67/82 [=======================>......] - ETA: 0s - loss: 0.1739 82/82 [==============================] - 0s 2ms/step - loss: 0.1888 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.3021 34/82 [===========>..................] - ETA: 0s - loss: 0.1525 68/82 [=======================>......] - ETA: 0s - loss: 0.1727 82/82 [==============================] - 0s 2ms/step - loss: 0.1774 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0732 33/82 [===========>..................] - ETA: 0s - loss: 0.1440 62/82 [=====================>........] - ETA: 0s - loss: 0.1688 82/82 [==============================] - 0s 2ms/step - loss: 0.1677 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0854 35/82 [===========>..................] - ETA: 0s - loss: 0.1677 74/82 [==========================>...] - ETA: 0s - loss: 0.1622 82/82 [==============================] - 0s 1ms/step - loss: 0.1606 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0405 39/82 [=============>................] - ETA: 0s - loss: 0.1403 74/82 [==========================>...] - ETA: 0s - loss: 0.1555 82/82 [==============================] - 0s 1ms/step - loss: 0.1530 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0371 35/82 [===========>..................] - ETA: 0s - loss: 0.1391 69/82 [========================>.....] - ETA: 0s - loss: 0.1469 82/82 [==============================] - 0s 1ms/step - loss: 0.1469 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1315 36/82 [============>.................] - ETA: 0s - loss: 0.1521 69/82 [========================>.....] - ETA: 0s - loss: 0.1403 82/82 [==============================] - 0s 2ms/step - loss: 0.1413 -> test with GAN.predict GAN tn, fp: 190, 15 GAN fn, tp: 3, 6 GAN f1 score: 0.400 GAN cohens kappa score: 0.362 -> test with 'LR' LR tn, fp: 179, 26 LR fn, tp: 4, 5 LR f1 score: 0.250 LR cohens kappa score: 0.198 LR average precision score: 0.184 -> 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: 8, 1 GB f1 score: 0.167 GB cohens kappa score: 0.149 -> test with 'KNN' KNN tn, fp: 180, 25 KNN fn, tp: 3, 6 KNN f1 score: 0.300 KNN cohens kappa score: 0.251 ------ 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: 34s - loss: 0.4885 34/82 [===========>..................] - ETA: 0s - loss: 0.3606  71/82 [========================>.....] - ETA: 0s - loss: 0.3125 82/82 [==============================] - 1s 1ms/step - loss: 0.2963 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2784 41/82 [==============>...............] - ETA: 0s - loss: 0.2063 81/82 [============================>.] - ETA: 0s - loss: 0.2059 82/82 [==============================] - 0s 1ms/step - loss: 0.2068 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.3236 41/82 [==============>...............] - ETA: 0s - loss: 0.1831 78/82 [===========================>..] - ETA: 0s - loss: 0.1858 82/82 [==============================] - 0s 1ms/step - loss: 0.1885 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2994 36/82 [============>.................] - ETA: 0s - loss: 0.1883 73/82 [=========================>....] - ETA: 0s - loss: 0.1853 82/82 [==============================] - 0s 1ms/step - loss: 0.1813 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0963 40/82 [=============>................] - ETA: 0s - loss: 0.1657 79/82 [===========================>..] - ETA: 0s - loss: 0.1705 82/82 [==============================] - 0s 1ms/step - loss: 0.1725 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2592 39/82 [=============>................] - ETA: 0s - loss: 0.1878 78/82 [===========================>..] - ETA: 0s - loss: 0.1670 82/82 [==============================] - 0s 1ms/step - loss: 0.1658 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2523 36/82 [============>.................] - ETA: 0s - loss: 0.1680 75/82 [==========================>...] - ETA: 0s - loss: 0.1647 82/82 [==============================] - 0s 1ms/step - loss: 0.1640 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2313 33/82 [===========>..................] - ETA: 0s - loss: 0.1829 68/82 [=======================>......] - ETA: 0s - loss: 0.1563 82/82 [==============================] - 0s 2ms/step - loss: 0.1568 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1169 40/82 [=============>................] - ETA: 0s - loss: 0.1574 79/82 [===========================>..] - ETA: 0s - loss: 0.1531 82/82 [==============================] - 0s 1ms/step - loss: 0.1548 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2726 41/82 [==============>...............] - ETA: 0s - loss: 0.1406 78/82 [===========================>..] - ETA: 0s - loss: 0.1448 82/82 [==============================] - 0s 1ms/step - loss: 0.1507 -> test with GAN.predict GAN tn, fp: 186, 19 GAN fn, tp: 3, 6 GAN f1 score: 0.353 GAN cohens kappa score: 0.310 -> test with 'LR' LR tn, fp: 174, 31 LR fn, tp: 1, 8 LR f1 score: 0.333 LR cohens kappa score: 0.284 LR average precision score: 0.444 -> 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: 171, 34 KNN fn, tp: 2, 7 KNN f1 score: 0.280 KNN cohens kappa score: 0.227 ------ 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: 0.3535 32/82 [==========>...................] - ETA: 0s - loss: 0.3412  61/82 [=====================>........] - ETA: 0s - loss: 0.2876 82/82 [==============================] - 0s 2ms/step - loss: 0.2737 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1979 36/82 [============>.................] - ETA: 0s - loss: 0.2275 71/82 [========================>.....] - ETA: 0s - loss: 0.2239 82/82 [==============================] - 0s 1ms/step - loss: 0.2166 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2018 35/82 [===========>..................] - ETA: 0s - loss: 0.1846 70/82 [========================>.....] - ETA: 0s - loss: 0.2013 82/82 [==============================] - 0s 1ms/step - loss: 0.2018 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2348 35/82 [===========>..................] - ETA: 0s - loss: 0.2024 70/82 [========================>.....] - ETA: 0s - loss: 0.1911 82/82 [==============================] - 0s 2ms/step - loss: 0.1917 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1552 28/82 [=========>....................] - ETA: 0s - loss: 0.1732 60/82 [====================>.........] - ETA: 0s - loss: 0.1812 82/82 [==============================] - 0s 2ms/step - loss: 0.1861 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2826 36/82 [============>.................] - ETA: 0s - loss: 0.1935 71/82 [========================>.....] - ETA: 0s - loss: 0.1828 82/82 [==============================] - 0s 1ms/step - loss: 0.1769 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1189 36/82 [============>.................] - ETA: 0s - loss: 0.1621 69/82 [========================>.....] - ETA: 0s - loss: 0.1652 82/82 [==============================] - 0s 2ms/step - loss: 0.1707 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2396 33/82 [===========>..................] - ETA: 0s - loss: 0.1745 69/82 [========================>.....] - ETA: 0s - loss: 0.1716 82/82 [==============================] - 0s 1ms/step - loss: 0.1668 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0626 34/82 [===========>..................] - ETA: 0s - loss: 0.1635 66/82 [=======================>......] - ETA: 0s - loss: 0.1637 82/82 [==============================] - 0s 2ms/step - loss: 0.1614 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2100 35/82 [===========>..................] - ETA: 0s - loss: 0.1602 69/82 [========================>.....] - ETA: 0s - loss: 0.1586 82/82 [==============================] - 0s 1ms/step - loss: 0.1557 -> test with GAN.predict GAN tn, fp: 193, 12 GAN fn, tp: 5, 4 GAN f1 score: 0.320 GAN cohens kappa score: 0.281 -> test with 'LR' LR tn, fp: 174, 31 LR fn, tp: 0, 9 LR f1 score: 0.367 LR cohens kappa score: 0.321 LR average precision score: 0.458 -> 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: 205, 0 GB fn, tp: 8, 1 GB f1 score: 0.200 GB cohens kappa score: 0.193 -> test with 'KNN' KNN tn, fp: 182, 23 KNN fn, tp: 2, 7 KNN f1 score: 0.359 KNN cohens kappa score: 0.315 ------ 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: 17s - loss: 0.2537 37/82 [============>.................] - ETA: 0s - loss: 0.1882  68/82 [=======================>......] - ETA: 0s - loss: 0.1974 82/82 [==============================] - 0s 2ms/step - loss: 0.1870 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1932 35/82 [===========>..................] - ETA: 0s - loss: 0.1435 74/82 [==========================>...] - ETA: 0s - loss: 0.1481 82/82 [==============================] - 0s 1ms/step - loss: 0.1452 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0425 38/82 [============>.................] - ETA: 0s - loss: 0.1213 75/82 [==========================>...] - ETA: 0s - loss: 0.1307 82/82 [==============================] - 0s 1ms/step - loss: 0.1317 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1061 40/82 [=============>................] - ETA: 0s - loss: 0.1057 77/82 [===========================>..] - ETA: 0s - loss: 0.1219 82/82 [==============================] - 0s 1ms/step - loss: 0.1229 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0382 40/82 [=============>................] - ETA: 0s - loss: 0.1116 76/82 [==========================>...] - ETA: 0s - loss: 0.1179 82/82 [==============================] - 0s 1ms/step - loss: 0.1181 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0618 36/82 [============>.................] - ETA: 0s - loss: 0.1291 69/82 [========================>.....] - ETA: 0s - loss: 0.1130 82/82 [==============================] - 0s 1ms/step - loss: 0.1136 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1508 40/82 [=============>................] - ETA: 0s - loss: 0.0886 78/82 [===========================>..] - ETA: 0s - loss: 0.1065 82/82 [==============================] - 0s 1ms/step - loss: 0.1096 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1193 38/82 [============>.................] - ETA: 0s - loss: 0.1158 75/82 [==========================>...] - ETA: 0s - loss: 0.1042 82/82 [==============================] - 0s 1ms/step - loss: 0.1055 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0644 40/82 [=============>................] - ETA: 0s - loss: 0.1226 77/82 [===========================>..] - ETA: 0s - loss: 0.1057 82/82 [==============================] - 0s 1ms/step - loss: 0.1027 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0568 38/82 [============>.................] - ETA: 0s - loss: 0.1143 75/82 [==========================>...] - ETA: 0s - loss: 0.1019 82/82 [==============================] - 0s 1ms/step - loss: 0.1019 -> test with GAN.predict GAN tn, fp: 193, 12 GAN fn, tp: 6, 3 GAN f1 score: 0.250 GAN cohens kappa score: 0.208 -> test with 'LR' LR tn, fp: 178, 27 LR fn, tp: 4, 5 LR f1 score: 0.244 LR cohens kappa score: 0.191 LR average precision score: 0.188 -> 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: 186, 19 KNN fn, tp: 4, 5 KNN f1 score: 0.303 KNN cohens kappa score: 0.258 ------ 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: 12s - loss: 0.2007 42/82 [==============>...............] - ETA: 0s - loss: 0.2405  82/82 [==============================] - 0s 1ms/step - loss: 0.2171 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2413 41/82 [==============>...............] - ETA: 0s - loss: 0.1589 75/82 [==========================>...] - ETA: 0s - loss: 0.1747 82/82 [==============================] - 0s 1ms/step - loss: 0.1742 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0858 43/82 [==============>...............] - ETA: 0s - loss: 0.1423 82/82 [==============================] - 0s 1ms/step - loss: 0.1614 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0629 43/82 [==============>...............] - ETA: 0s - loss: 0.1539 81/82 [============================>.] - ETA: 0s - loss: 0.1530 82/82 [==============================] - 0s 1ms/step - loss: 0.1526 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2881 40/82 [=============>................] - ETA: 0s - loss: 0.1655 79/82 [===========================>..] - ETA: 0s - loss: 0.1481 82/82 [==============================] - 0s 1ms/step - loss: 0.1470 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1233 41/82 [==============>...............] - ETA: 0s - loss: 0.1536 82/82 [==============================] - ETA: 0s - loss: 0.1395 82/82 [==============================] - 0s 1ms/step - loss: 0.1395 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1136 42/82 [==============>...............] - ETA: 0s - loss: 0.1435 80/82 [============================>.] - ETA: 0s - loss: 0.1332 82/82 [==============================] - 0s 1ms/step - loss: 0.1349 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1679 43/82 [==============>...............] - ETA: 0s - loss: 0.1308 82/82 [==============================] - 0s 1ms/step - loss: 0.1307 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1273 43/82 [==============>...............] - ETA: 0s - loss: 0.1196 82/82 [==============================] - 0s 1ms/step - loss: 0.1265 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2184 38/82 [============>.................] - ETA: 0s - loss: 0.1312 75/82 [==========================>...] - ETA: 0s - loss: 0.1277 82/82 [==============================] - 0s 1ms/step - loss: 0.1246 -> test with GAN.predict GAN tn, fp: 182, 21 GAN fn, tp: 5, 2 GAN f1 score: 0.133 GAN cohens kappa score: 0.087 -> test with 'LR' LR tn, fp: 163, 40 LR fn, tp: 2, 5 LR f1 score: 0.192 LR cohens kappa score: 0.143 LR average precision score: 0.336 -> test with 'RF' RF tn, fp: 196, 7 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.034 -> test with 'GB' GB tn, fp: 202, 1 GB fn, tp: 5, 2 GB f1 score: 0.400 GB cohens kappa score: 0.388 -> test with 'KNN' KNN tn, fp: 175, 28 KNN fn, tp: 4, 3 KNN f1 score: 0.158 KNN cohens kappa score: 0.109 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 186, 50 LR fn, tp: 5, 9 LR f1 score: 0.486 LR cohens kappa score: 0.452 LR average precision score: 0.719 average: LR tn, fp: 172.24, 32.36 LR fn, tp: 2.16, 6.44 LR f1 score: 0.276 LR cohens kappa score: 0.226 LR average precision score: 0.350 minimum: LR tn, fp: 155, 19 LR fn, tp: 0, 4 LR f1 score: 0.170 LR cohens kappa score: 0.110 LR average precision score: 0.084 -----[ RF ]----- maximum: RF tn, fp: 205, 10 RF fn, tp: 9, 2 RF f1 score: 0.364 RF cohens kappa score: 0.354 average: RF tn, fp: 201.64, 2.96 RF fn, tp: 8.2, 0.4 RF f1 score: 0.064 RF cohens kappa score: 0.044 minimum: RF tn, fp: 195, 0 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.035 -----[ GB ]----- maximum: GB tn, fp: 205, 14 GB fn, tp: 9, 4 GB f1 score: 0.429 GB cohens kappa score: 0.411 average: GB tn, fp: 202.6, 2.0 GB fn, tp: 7.6, 1.0 GB f1 score: 0.162 GB cohens kappa score: 0.147 minimum: GB tn, fp: 191, 0 GB fn, tp: 5, 0 GB f1 score: 0.000 GB cohens kappa score: -0.027 -----[ KNN ]----- maximum: KNN tn, fp: 193, 38 KNN fn, tp: 4, 8 KNN f1 score: 0.500 KNN cohens kappa score: 0.470 average: KNN tn, fp: 177.68, 26.92 KNN fn, tp: 3.0, 5.6 KNN f1 score: 0.277 KNN cohens kappa score: 0.228 minimum: KNN tn, fp: 165, 12 KNN fn, tp: 1, 3 KNN f1 score: 0.158 KNN cohens kappa score: 0.109 -----[ GAN ]----- maximum: GAN tn, fp: 201, 25 GAN fn, tp: 8, 7 GAN f1 score: 0.632 GAN cohens kappa score: 0.615 average: GAN tn, fp: 189.16, 15.44 GAN fn, tp: 4.36, 4.24 GAN f1 score: 0.302 GAN cohens kappa score: 0.262 minimum: GAN tn, fp: 178, 4 GAN fn, tp: 1, 1 GAN f1 score: 0.077 GAN cohens kappa score: 0.023