/////////////////////////////////////////// // Running convGAN-majority-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: 15s - loss: 0.1290 35/82 [===========>..................] - ETA: 0s - loss: 0.1773  67/82 [=======================>......] - ETA: 0s - loss: 0.1703 82/82 [==============================] - 0s 2ms/step - loss: 0.1631 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2184 37/82 [============>.................] - ETA: 0s - loss: 0.1536 73/82 [=========================>....] - ETA: 0s - loss: 0.1563 82/82 [==============================] - 0s 1ms/step - loss: 0.1587 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0601 37/82 [============>.................] - ETA: 0s - loss: 0.1463 72/82 [=========================>....] - ETA: 0s - loss: 0.1501 82/82 [==============================] - 0s 1ms/step - loss: 0.1558 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1287 32/82 [==========>...................] - ETA: 0s - loss: 0.1625 62/82 [=====================>........] - ETA: 0s - loss: 0.1643 82/82 [==============================] - 0s 2ms/step - loss: 0.1515 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1975 34/82 [===========>..................] - ETA: 0s - loss: 0.1499 68/82 [=======================>......] - ETA: 0s - loss: 0.1507 82/82 [==============================] - 0s 2ms/step - loss: 0.1494 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1833 40/82 [=============>................] - ETA: 0s - loss: 0.1202 76/82 [==========================>...] - ETA: 0s - loss: 0.1441 82/82 [==============================] - 0s 1ms/step - loss: 0.1477 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0472 35/82 [===========>..................] - ETA: 0s - loss: 0.1424 69/82 [========================>.....] - ETA: 0s - loss: 0.1362 82/82 [==============================] - 0s 2ms/step - loss: 0.1442 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1435 36/82 [============>.................] - ETA: 0s - loss: 0.1297 69/82 [========================>.....] - ETA: 0s - loss: 0.1386 82/82 [==============================] - 0s 1ms/step - loss: 0.1406 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0248 36/82 [============>.................] - ETA: 0s - loss: 0.1370 72/82 [=========================>....] - ETA: 0s - loss: 0.1393 82/82 [==============================] - 0s 1ms/step - loss: 0.1380 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0751 37/82 [============>.................] - ETA: 0s - loss: 0.1295 74/82 [==========================>...] - ETA: 0s - loss: 0.1369 82/82 [==============================] - 0s 1ms/step - loss: 0.1356 -> test with GAN.predict GAN tn, fp: 185, 20 GAN fn, tp: 5, 4 GAN f1 score: 0.242 GAN cohens kappa score: 0.193 -> 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: 0.086 -> 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: 204, 1 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.008 -> 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 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: 0.1459 33/82 [===========>..................] - ETA: 0s - loss: 0.1904  72/82 [=========================>....] - ETA: 0s - loss: 0.2130 82/82 [==============================] - 0s 1ms/step - loss: 0.2090 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.3843 41/82 [==============>...............] - ETA: 0s - loss: 0.1867 81/82 [============================>.] - ETA: 0s - loss: 0.2017 82/82 [==============================] - 0s 1ms/step - loss: 0.2027 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2287 41/82 [==============>...............] - ETA: 0s - loss: 0.1944 74/82 [==========================>...] - ETA: 0s - loss: 0.1988 82/82 [==============================] - 0s 1ms/step - loss: 0.1967 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1392 39/82 [=============>................] - ETA: 0s - loss: 0.1930 77/82 [===========================>..] - ETA: 0s - loss: 0.1929 82/82 [==============================] - 0s 1ms/step - loss: 0.1898 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2856 38/82 [============>.................] - ETA: 0s - loss: 0.1909 77/82 [===========================>..] - ETA: 0s - loss: 0.1869 82/82 [==============================] - 0s 1ms/step - loss: 0.1862 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1500 40/82 [=============>................] - ETA: 0s - loss: 0.1608 79/82 [===========================>..] - ETA: 0s - loss: 0.1775 82/82 [==============================] - 0s 1ms/step - loss: 0.1781 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.3032 41/82 [==============>...............] - ETA: 0s - loss: 0.1954 82/82 [==============================] - ETA: 0s - loss: 0.1730 82/82 [==============================] - 0s 1ms/step - loss: 0.1730 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0910 40/82 [=============>................] - ETA: 0s - loss: 0.1515 77/82 [===========================>..] - ETA: 0s - loss: 0.1700 82/82 [==============================] - 0s 1ms/step - loss: 0.1686 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1596 40/82 [=============>................] - ETA: 0s - loss: 0.1520 79/82 [===========================>..] - ETA: 0s - loss: 0.1607 82/82 [==============================] - 0s 1ms/step - loss: 0.1638 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0773 40/82 [=============>................] - ETA: 0s - loss: 0.1531 77/82 [===========================>..] - ETA: 0s - loss: 0.1614 82/82 [==============================] - 0s 1ms/step - loss: 0.1607 -> test with GAN.predict GAN tn, fp: 183, 22 GAN fn, tp: 3, 6 GAN f1 score: 0.324 GAN cohens kappa score: 0.278 -> 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: 0.339 -> 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: 169, 36 KNN fn, tp: 3, 6 KNN f1 score: 0.235 KNN cohens kappa score: 0.178 ------ 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: 0.1255 36/82 [============>.................] - ETA: 0s - loss: 0.1852  76/82 [==========================>...] - ETA: 0s - loss: 0.1963 82/82 [==============================] - 0s 1ms/step - loss: 0.1980 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2387 34/82 [===========>..................] - ETA: 0s - loss: 0.2014 69/82 [========================>.....] - ETA: 0s - loss: 0.2021 82/82 [==============================] - 0s 1ms/step - loss: 0.1922 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.3369 41/82 [==============>...............] - ETA: 0s - loss: 0.1974 79/82 [===========================>..] - ETA: 0s - loss: 0.1896 82/82 [==============================] - 0s 1ms/step - loss: 0.1895 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0643 39/82 [=============>................] - ETA: 0s - loss: 0.1877 79/82 [===========================>..] - ETA: 0s - loss: 0.1803 82/82 [==============================] - 0s 1ms/step - loss: 0.1841 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.4209 39/82 [=============>................] - ETA: 0s - loss: 0.1644 79/82 [===========================>..] - ETA: 0s - loss: 0.1814 82/82 [==============================] - 0s 1ms/step - loss: 0.1813 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1077 40/82 [=============>................] - ETA: 0s - loss: 0.1704 78/82 [===========================>..] - ETA: 0s - loss: 0.1762 82/82 [==============================] - 0s 1ms/step - loss: 0.1773 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0480 39/82 [=============>................] - ETA: 0s - loss: 0.1665 79/82 [===========================>..] - ETA: 0s - loss: 0.1733 82/82 [==============================] - 0s 1ms/step - loss: 0.1727 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1302 40/82 [=============>................] - ETA: 0s - loss: 0.1765 79/82 [===========================>..] - ETA: 0s - loss: 0.1663 82/82 [==============================] - 0s 1ms/step - loss: 0.1685 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0548 40/82 [=============>................] - ETA: 0s - loss: 0.1574 78/82 [===========================>..] - ETA: 0s - loss: 0.1664 82/82 [==============================] - 0s 1ms/step - loss: 0.1645 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1370 36/82 [============>.................] - ETA: 0s - loss: 0.1643 73/82 [=========================>....] - ETA: 0s - loss: 0.1643 82/82 [==============================] - 0s 1ms/step - loss: 0.1617 -> 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: 176, 29 LR fn, tp: 4, 5 LR f1 score: 0.233 LR cohens kappa score: 0.178 LR average precision score: 0.336 -> 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: 179, 26 KNN fn, tp: 4, 5 KNN f1 score: 0.250 KNN cohens kappa score: 0.198 ------ 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: 0.3013 37/82 [============>.................] - ETA: 0s - loss: 0.2138  76/82 [==========================>...] - ETA: 0s - loss: 0.2223 82/82 [==============================] - 0s 1ms/step - loss: 0.2243 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1537 39/82 [=============>................] - ETA: 0s - loss: 0.2148 77/82 [===========================>..] - ETA: 0s - loss: 0.2206 82/82 [==============================] - 0s 1ms/step - loss: 0.2178 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2063 37/82 [============>.................] - ETA: 0s - loss: 0.2171 74/82 [==========================>...] - ETA: 0s - loss: 0.2133 82/82 [==============================] - 0s 1ms/step - loss: 0.2129 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2024 37/82 [============>.................] - ETA: 0s - loss: 0.1955 68/82 [=======================>......] - ETA: 0s - loss: 0.1983 82/82 [==============================] - 0s 2ms/step - loss: 0.2068 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2534 33/82 [===========>..................] - ETA: 0s - loss: 0.1905 71/82 [========================>.....] - ETA: 0s - loss: 0.2021 82/82 [==============================] - 0s 1ms/step - loss: 0.2021 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1192 42/82 [==============>...............] - ETA: 0s - loss: 0.2131 81/82 [============================>.] - ETA: 0s - loss: 0.1992 82/82 [==============================] - 0s 1ms/step - loss: 0.2001 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1545 40/82 [=============>................] - ETA: 0s - loss: 0.1900 78/82 [===========================>..] - ETA: 0s - loss: 0.1933 82/82 [==============================] - 0s 1ms/step - loss: 0.1921 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2987 38/82 [============>.................] - ETA: 0s - loss: 0.1851 75/82 [==========================>...] - ETA: 0s - loss: 0.1878 82/82 [==============================] - 0s 1ms/step - loss: 0.1907 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1753 41/82 [==============>...............] - ETA: 0s - loss: 0.1979 78/82 [===========================>..] - ETA: 0s - loss: 0.1899 82/82 [==============================] - 0s 1ms/step - loss: 0.1856 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0830 40/82 [=============>................] - ETA: 0s - loss: 0.1737 78/82 [===========================>..] - ETA: 0s - loss: 0.1792 82/82 [==============================] - 0s 1ms/step - loss: 0.1792 -> test with GAN.predict GAN tn, fp: 194, 11 GAN fn, tp: 6, 3 GAN f1 score: 0.261 GAN cohens kappa score: 0.221 -> test with 'LR' LR tn, fp: 180, 25 LR fn, tp: 0, 9 LR f1 score: 0.419 LR cohens kappa score: 0.377 LR average precision score: 0.673 -> 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: 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: 3, 6 KNN f1 score: 0.333 KNN cohens kappa score: 0.288 ------ 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: 10s - loss: 0.1781 42/82 [==============>...............] - ETA: 0s - loss: 0.1905  82/82 [==============================] - ETA: 0s - loss: 0.1958 82/82 [==============================] - 0s 1ms/step - loss: 0.1958 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1292 42/82 [==============>...............] - ETA: 0s - loss: 0.1998 81/82 [============================>.] - ETA: 0s - loss: 0.1918 82/82 [==============================] - 0s 1ms/step - loss: 0.1906 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1084 43/82 [==============>...............] - ETA: 0s - loss: 0.1873 81/82 [============================>.] - ETA: 0s - loss: 0.1845 82/82 [==============================] - 0s 1ms/step - loss: 0.1848 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2414 38/82 [============>.................] - ETA: 0s - loss: 0.1853 80/82 [============================>.] - ETA: 0s - loss: 0.1787 82/82 [==============================] - 0s 1ms/step - loss: 0.1810 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2644 43/82 [==============>...............] - ETA: 0s - loss: 0.1696 82/82 [==============================] - 0s 1ms/step - loss: 0.1770 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0561 34/82 [===========>..................] - ETA: 0s - loss: 0.1835 69/82 [========================>.....] - ETA: 0s - loss: 0.1739 82/82 [==============================] - 0s 1ms/step - loss: 0.1732 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.3113 37/82 [============>.................] - ETA: 0s - loss: 0.1647 70/82 [========================>.....] - ETA: 0s - loss: 0.1718 82/82 [==============================] - 0s 1ms/step - loss: 0.1681 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0162 32/82 [==========>...................] - ETA: 0s - loss: 0.1685 67/82 [=======================>......] - ETA: 0s - loss: 0.1558 82/82 [==============================] - 0s 2ms/step - loss: 0.1646 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.2407 40/82 [=============>................] - ETA: 0s - loss: 0.1572 81/82 [============================>.] - ETA: 0s - loss: 0.1630 82/82 [==============================] - 0s 1ms/step - loss: 0.1624 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1265 41/82 [==============>...............] - ETA: 0s - loss: 0.1504 82/82 [==============================] - ETA: 0s - loss: 0.1571 82/82 [==============================] - 0s 1ms/step - loss: 0.1571 -> test with GAN.predict GAN tn, fp: 177, 26 GAN fn, tp: 3, 4 GAN f1 score: 0.216 GAN cohens kappa score: 0.171 -> test with 'LR' LR tn, fp: 171, 32 LR fn, tp: 3, 4 LR f1 score: 0.186 LR cohens kappa score: 0.138 LR average precision score: 0.281 -> test with 'RF' RF tn, fp: 198, 5 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.029 -> test with 'GB' GB tn, fp: 200, 3 GB fn, tp: 7, 0 GB f1 score: 0.000 GB cohens kappa score: -0.020 -> test with 'KNN' KNN tn, fp: 173, 30 KNN fn, tp: 2, 5 KNN f1 score: 0.238 KNN cohens kappa score: 0.193 ====== 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: 0.1406 26/82 [========>.....................] - ETA: 0s - loss: 0.1525  43/82 [==============>...............] - ETA: 0s - loss: 0.1874 60/82 [====================>.........] - ETA: 0s - loss: 0.1886 82/82 [==============================] - 0s 3ms/step - loss: 0.1948 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1502 32/82 [==========>...................] - ETA: 0s - loss: 0.1785 71/82 [========================>.....] - ETA: 0s - loss: 0.1907 82/82 [==============================] - 0s 1ms/step - loss: 0.1888 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1653 39/82 [=============>................] - ETA: 0s - loss: 0.1771 72/82 [=========================>....] - ETA: 0s - loss: 0.1884 82/82 [==============================] - 0s 1ms/step - loss: 0.1851 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.4122 38/82 [============>.................] - ETA: 0s - loss: 0.1898 72/82 [=========================>....] - ETA: 0s - loss: 0.1790 82/82 [==============================] - 0s 2ms/step - loss: 0.1814 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.3370 37/82 [============>.................] - ETA: 0s - loss: 0.1627 66/82 [=======================>......] - ETA: 0s - loss: 0.1753 82/82 [==============================] - 0s 2ms/step - loss: 0.1769 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0940 35/82 [===========>..................] - ETA: 0s - loss: 0.1642 68/82 [=======================>......] - ETA: 0s - loss: 0.1819 82/82 [==============================] - 0s 2ms/step - loss: 0.1733 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2436 33/82 [===========>..................] - ETA: 0s - loss: 0.1929 68/82 [=======================>......] - ETA: 0s - loss: 0.1724 82/82 [==============================] - 0s 2ms/step - loss: 0.1698 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0945 37/82 [============>.................] - ETA: 0s - loss: 0.1588 74/82 [==========================>...] - ETA: 0s - loss: 0.1716 82/82 [==============================] - 0s 1ms/step - loss: 0.1668 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1423 39/82 [=============>................] - ETA: 0s - loss: 0.1768 76/82 [==========================>...] - ETA: 0s - loss: 0.1639 82/82 [==============================] - 0s 1ms/step - loss: 0.1629 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1182 29/82 [=========>....................] - ETA: 0s - loss: 0.1299 55/82 [===================>..........] - ETA: 0s - loss: 0.1522 82/82 [==============================] - 0s 2ms/step - loss: 0.1587 -> test with GAN.predict GAN tn, fp: 185, 20 GAN fn, tp: 2, 7 GAN f1 score: 0.389 GAN cohens kappa score: 0.348 -> test with 'LR' LR tn, fp: 168, 37 LR fn, tp: 2, 7 LR f1 score: 0.264 LR cohens kappa score: 0.209 LR average precision score: 0.424 -> 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: 8, 1 GB f1 score: 0.167 GB cohens kappa score: 0.149 -> test with 'KNN' KNN tn, fp: 179, 26 KNN fn, tp: 3, 6 KNN f1 score: 0.293 KNN cohens kappa score: 0.243 ------ 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: 16s - loss: 0.1975 40/82 [=============>................] - ETA: 0s - loss: 0.1860  76/82 [==========================>...] - ETA: 0s - loss: 0.1806 82/82 [==============================] - 0s 1ms/step - loss: 0.1824 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0642 40/82 [=============>................] - ETA: 0s - loss: 0.1499 73/82 [=========================>....] - ETA: 0s - loss: 0.1781 82/82 [==============================] - 0s 1ms/step - loss: 0.1796 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2349 36/82 [============>.................] - ETA: 0s - loss: 0.1579 72/82 [=========================>....] - ETA: 0s - loss: 0.1790 82/82 [==============================] - 0s 1ms/step - loss: 0.1735 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1155 40/82 [=============>................] - ETA: 0s - loss: 0.1619 76/82 [==========================>...] - ETA: 0s - loss: 0.1690 82/82 [==============================] - 0s 1ms/step - loss: 0.1702 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0968 41/82 [==============>...............] - ETA: 0s - loss: 0.1948 79/82 [===========================>..] - ETA: 0s - loss: 0.1698 82/82 [==============================] - 0s 1ms/step - loss: 0.1670 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2797 39/82 [=============>................] - ETA: 0s - loss: 0.1619 74/82 [==========================>...] - ETA: 0s - loss: 0.1639 82/82 [==============================] - 0s 1ms/step - loss: 0.1641 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0728 40/82 [=============>................] - ETA: 0s - loss: 0.1560 78/82 [===========================>..] - ETA: 0s - loss: 0.1533 82/82 [==============================] - 0s 1ms/step - loss: 0.1592 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1541 36/82 [============>.................] - ETA: 0s - loss: 0.1718 74/82 [==========================>...] - ETA: 0s - loss: 0.1541 82/82 [==============================] - 0s 1ms/step - loss: 0.1557 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1016 39/82 [=============>................] - ETA: 0s - loss: 0.1669 79/82 [===========================>..] - ETA: 0s - loss: 0.1545 82/82 [==============================] - 0s 1ms/step - loss: 0.1537 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0650 41/82 [==============>...............] - ETA: 0s - loss: 0.1314 78/82 [===========================>..] - ETA: 0s - loss: 0.1498 82/82 [==============================] - 0s 1ms/step - loss: 0.1515 -> test with GAN.predict GAN tn, fp: 188, 17 GAN fn, tp: 5, 4 GAN f1 score: 0.267 GAN cohens kappa score: 0.221 -> test with 'LR' LR tn, fp: 172, 33 LR fn, tp: 3, 6 LR f1 score: 0.250 LR cohens kappa score: 0.195 LR average precision score: 0.361 -> 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: 203, 2 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.016 -> test with 'KNN' KNN tn, fp: 176, 29 KNN fn, tp: 2, 7 KNN f1 score: 0.311 KNN cohens kappa score: 0.261 ------ 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: 17s - loss: 0.4273 39/82 [=============>................] - ETA: 0s - loss: 0.1667  78/82 [===========================>..] - ETA: 0s - loss: 0.1806 82/82 [==============================] - 0s 1ms/step - loss: 0.1781 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0866 40/82 [=============>................] - ETA: 0s - loss: 0.1847 75/82 [==========================>...] - ETA: 0s - loss: 0.1832 82/82 [==============================] - 0s 1ms/step - loss: 0.1751 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0766 38/82 [============>.................] - ETA: 0s - loss: 0.1776 70/82 [========================>.....] - ETA: 0s - loss: 0.1688 82/82 [==============================] - 0s 1ms/step - loss: 0.1711 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2099 35/82 [===========>..................] - ETA: 0s - loss: 0.1752 67/82 [=======================>......] - ETA: 0s - loss: 0.1733 82/82 [==============================] - 0s 2ms/step - loss: 0.1677 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0652 33/82 [===========>..................] - ETA: 0s - loss: 0.1643 70/82 [========================>.....] - ETA: 0s - loss: 0.1642 82/82 [==============================] - 0s 1ms/step - loss: 0.1641 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0563 36/82 [============>.................] - ETA: 0s - loss: 0.1676 74/82 [==========================>...] - ETA: 0s - loss: 0.1628 82/82 [==============================] - 0s 1ms/step - loss: 0.1597 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0712 39/82 [=============>................] - ETA: 0s - loss: 0.1498 77/82 [===========================>..] - ETA: 0s - loss: 0.1541 82/82 [==============================] - 0s 1ms/step - loss: 0.1564 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1850 39/82 [=============>................] - ETA: 0s - loss: 0.1625 75/82 [==========================>...] - ETA: 0s - loss: 0.1500 82/82 [==============================] - 0s 1ms/step - loss: 0.1538 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1486 35/82 [===========>..................] - ETA: 0s - loss: 0.1706 65/82 [======================>.......] - ETA: 0s - loss: 0.1526 82/82 [==============================] - 0s 2ms/step - loss: 0.1507 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2666 36/82 [============>.................] - ETA: 0s - loss: 0.1512 71/82 [========================>.....] - ETA: 0s - loss: 0.1519 82/82 [==============================] - 0s 1ms/step - loss: 0.1456 -> test with GAN.predict GAN tn, fp: 186, 19 GAN fn, tp: 5, 4 GAN f1 score: 0.250 GAN cohens kappa score: 0.202 -> 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: 0.228 -> 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: 16s - loss: 0.0942 26/82 [========>.....................] - ETA: 0s - loss: 0.1810  56/82 [===================>..........] - ETA: 0s - loss: 0.1647 82/82 [==============================] - 0s 2ms/step - loss: 0.1649 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.3518 32/82 [==========>...................] - ETA: 0s - loss: 0.1664 62/82 [=====================>........] - ETA: 0s - loss: 0.1632 82/82 [==============================] - 0s 2ms/step - loss: 0.1606 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1982 33/82 [===========>..................] - ETA: 0s - loss: 0.1587 61/82 [=====================>........] - ETA: 0s - loss: 0.1565 82/82 [==============================] - 0s 2ms/step - loss: 0.1578 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1788 28/82 [=========>....................] - ETA: 0s - loss: 0.1411 64/82 [======================>.......] - ETA: 0s - loss: 0.1502 82/82 [==============================] - 0s 2ms/step - loss: 0.1537 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1515 36/82 [============>.................] - ETA: 0s - loss: 0.1441 70/82 [========================>.....] - ETA: 0s - loss: 0.1520 82/82 [==============================] - 0s 1ms/step - loss: 0.1515 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0283 36/82 [============>.................] - ETA: 0s - loss: 0.1678 73/82 [=========================>....] - ETA: 0s - loss: 0.1498 82/82 [==============================] - 0s 1ms/step - loss: 0.1481 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2577 39/82 [=============>................] - ETA: 0s - loss: 0.1247 76/82 [==========================>...] - ETA: 0s - loss: 0.1494 82/82 [==============================] - 0s 1ms/step - loss: 0.1468 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1216 38/82 [============>.................] - ETA: 0s - loss: 0.1400 75/82 [==========================>...] - ETA: 0s - loss: 0.1464 82/82 [==============================] - 0s 1ms/step - loss: 0.1441 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0794 37/82 [============>.................] - ETA: 0s - loss: 0.1380 76/82 [==========================>...] - ETA: 0s - loss: 0.1364 82/82 [==============================] - 0s 1ms/step - loss: 0.1405 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0772 40/82 [=============>................] - ETA: 0s - loss: 0.1351 78/82 [===========================>..] - ETA: 0s - loss: 0.1403 82/82 [==============================] - 0s 1ms/step - loss: 0.1392 -> test with GAN.predict GAN tn, fp: 196, 9 GAN fn, tp: 5, 4 GAN f1 score: 0.364 GAN cohens kappa score: 0.330 -> test with 'LR' LR tn, fp: 185, 20 LR fn, tp: 4, 5 LR f1 score: 0.294 LR cohens kappa score: 0.248 LR average precision score: 0.290 -> 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: 204, 1 GB fn, tp: 8, 1 GB f1 score: 0.182 GB cohens kappa score: 0.169 -> test with 'KNN' KNN tn, fp: 183, 22 KNN fn, tp: 4, 5 KNN f1 score: 0.278 KNN cohens kappa score: 0.229 ------ 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: 10s - loss: 0.2762 43/82 [==============>...............] - ETA: 0s - loss: 0.2263  82/82 [==============================] - 0s 1ms/step - loss: 0.2138 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1681 41/82 [==============>...............] - ETA: 0s - loss: 0.2198 75/82 [==========================>...] - ETA: 0s - loss: 0.2089 82/82 [==============================] - 0s 1ms/step - loss: 0.2087 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1898 39/82 [=============>................] - ETA: 0s - loss: 0.2120 80/82 [============================>.] - ETA: 0s - loss: 0.2052 82/82 [==============================] - 0s 1ms/step - loss: 0.2036 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1432 40/82 [=============>................] - ETA: 0s - loss: 0.2037 76/82 [==========================>...] - ETA: 0s - loss: 0.1955 82/82 [==============================] - 0s 1ms/step - loss: 0.1988 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1564 37/82 [============>.................] - ETA: 0s - loss: 0.1912 77/82 [===========================>..] - ETA: 0s - loss: 0.1941 82/82 [==============================] - 0s 1ms/step - loss: 0.1931 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1984 43/82 [==============>...............] - ETA: 0s - loss: 0.1929 82/82 [==============================] - 0s 1ms/step - loss: 0.1901 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1065 44/82 [===============>..............] - ETA: 0s - loss: 0.1847 82/82 [==============================] - 0s 1ms/step - loss: 0.1865 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0849 41/82 [==============>...............] - ETA: 0s - loss: 0.1874 72/82 [=========================>....] - ETA: 0s - loss: 0.1832 82/82 [==============================] - 0s 1ms/step - loss: 0.1821 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.3913 41/82 [==============>...............] - ETA: 0s - loss: 0.1776 80/82 [============================>.] - ETA: 0s - loss: 0.1756 82/82 [==============================] - 0s 1ms/step - loss: 0.1767 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0827 36/82 [============>.................] - ETA: 0s - loss: 0.1561 76/82 [==========================>...] - ETA: 0s - loss: 0.1724 82/82 [==============================] - 0s 1ms/step - loss: 0.1725 -> test with GAN.predict GAN tn, fp: 177, 26 GAN fn, tp: 1, 6 GAN f1 score: 0.308 GAN cohens kappa score: 0.268 -> test with 'LR' LR tn, fp: 165, 38 LR fn, tp: 0, 7 LR f1 score: 0.269 LR cohens kappa score: 0.224 LR average precision score: 0.370 -> 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: 201, 2 GB fn, tp: 6, 1 GB f1 score: 0.200 GB cohens kappa score: 0.184 -> 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: 13s - loss: 0.0979 39/82 [=============>................] - ETA: 0s - loss: 0.1972  76/82 [==========================>...] - ETA: 0s - loss: 0.2296 82/82 [==============================] - 0s 1ms/step - loss: 0.2260 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1718 35/82 [===========>..................] - ETA: 0s - loss: 0.2259 69/82 [========================>.....] - ETA: 0s - loss: 0.2186 82/82 [==============================] - 0s 2ms/step - loss: 0.2225 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1916 33/82 [===========>..................] - ETA: 0s - loss: 0.2397 68/82 [=======================>......] - ETA: 0s - loss: 0.2171 82/82 [==============================] - 0s 2ms/step - loss: 0.2147 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2793 32/82 [==========>...................] - ETA: 0s - loss: 0.2266 66/82 [=======================>......] - ETA: 0s - loss: 0.2136 82/82 [==============================] - 0s 2ms/step - loss: 0.2093 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2190 37/82 [============>.................] - ETA: 0s - loss: 0.1967 72/82 [=========================>....] - ETA: 0s - loss: 0.2128 82/82 [==============================] - 0s 1ms/step - loss: 0.2059 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1478 36/82 [============>.................] - ETA: 0s - loss: 0.1683 68/82 [=======================>......] - ETA: 0s - loss: 0.1953 82/82 [==============================] - 0s 2ms/step - loss: 0.1997 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2228 30/82 [=========>....................] - ETA: 0s - loss: 0.1832 63/82 [======================>.......] - ETA: 0s - loss: 0.1926 82/82 [==============================] - 0s 2ms/step - loss: 0.1950 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2630 33/82 [===========>..................] - ETA: 0s - loss: 0.1852 67/82 [=======================>......] - ETA: 0s - loss: 0.1855 82/82 [==============================] - 0s 2ms/step - loss: 0.1893 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1262 33/82 [===========>..................] - ETA: 0s - loss: 0.1881 54/82 [==================>...........] - ETA: 0s - loss: 0.1779 74/82 [==========================>...] - ETA: 0s - loss: 0.1832 82/82 [==============================] - 0s 2ms/step - loss: 0.1848 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2862 20/82 [======>.......................] - ETA: 0s - loss: 0.1726 37/82 [============>.................] - ETA: 0s - loss: 0.1766 58/82 [====================>.........] - ETA: 0s - loss: 0.1749 76/82 [==========================>...] - ETA: 0s - loss: 0.1807 82/82 [==============================] - 0s 3ms/step - loss: 0.1798 -> test with GAN.predict GAN tn, fp: 198, 7 GAN fn, tp: 2, 7 GAN f1 score: 0.609 GAN cohens kappa score: 0.588 -> test with 'LR' LR tn, fp: 187, 18 LR fn, tp: 2, 7 LR f1 score: 0.412 LR cohens kappa score: 0.373 LR average precision score: 0.724 -> 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: 196, 9 KNN fn, tp: 2, 7 KNN f1 score: 0.560 KNN cohens kappa score: 0.535 ------ 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: 0.2017 34/82 [===========>..................] - ETA: 0s - loss: 0.1476  70/82 [========================>.....] - ETA: 0s - loss: 0.1387 82/82 [==============================] - 0s 1ms/step - loss: 0.1395 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1063 37/82 [============>.................] - ETA: 0s - loss: 0.1410 73/82 [=========================>....] - ETA: 0s - loss: 0.1405 82/82 [==============================] - 0s 1ms/step - loss: 0.1356 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0899 34/82 [===========>..................] - ETA: 0s - loss: 0.1363 69/82 [========================>.....] - ETA: 0s - loss: 0.1336 82/82 [==============================] - 0s 1ms/step - loss: 0.1304 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3463 36/82 [============>.................] - ETA: 0s - loss: 0.1398 74/82 [==========================>...] - ETA: 0s - loss: 0.1234 82/82 [==============================] - 0s 1ms/step - loss: 0.1289 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0949 36/82 [============>.................] - ETA: 0s - loss: 0.1297 70/82 [========================>.....] - ETA: 0s - loss: 0.1245 82/82 [==============================] - 0s 1ms/step - loss: 0.1246 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1099 33/82 [===========>..................] - ETA: 0s - loss: 0.1051 67/82 [=======================>......] - ETA: 0s - loss: 0.1181 82/82 [==============================] - 0s 2ms/step - loss: 0.1233 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1114 36/82 [============>.................] - ETA: 0s - loss: 0.1148 66/82 [=======================>......] - ETA: 0s - loss: 0.1207 82/82 [==============================] - 0s 2ms/step - loss: 0.1204 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1960 33/82 [===========>..................] - ETA: 0s - loss: 0.1380 70/82 [========================>.....] - ETA: 0s - loss: 0.1180 82/82 [==============================] - 0s 1ms/step - loss: 0.1181 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.3252 33/82 [===========>..................] - ETA: 0s - loss: 0.1089 64/82 [======================>.......] - ETA: 0s - loss: 0.1075 82/82 [==============================] - 0s 2ms/step - loss: 0.1150 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0613 39/82 [=============>................] - ETA: 0s - loss: 0.1225 75/82 [==========================>...] - ETA: 0s - loss: 0.1203 82/82 [==============================] - 0s 1ms/step - loss: 0.1147 -> test with GAN.predict GAN tn, fp: 182, 23 GAN fn, tp: 4, 5 GAN f1 score: 0.270 GAN cohens kappa score: 0.221 -> test with 'LR' LR tn, fp: 164, 41 LR fn, tp: 2, 7 LR f1 score: 0.246 LR cohens kappa score: 0.188 LR average precision score: 0.203 -> test with 'RF' RF tn, fp: 197, 8 RF fn, tp: 7, 2 RF f1 score: 0.211 RF cohens kappa score: 0.174 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 6, 3 GB f1 score: 0.462 GB cohens kappa score: 0.447 -> test with 'KNN' KNN tn, fp: 165, 40 KNN fn, tp: 4, 5 KNN f1 score: 0.185 KNN cohens kappa score: 0.124 ------ 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: 0.0846 39/82 [=============>................] - ETA: 0s - loss: 0.2515  76/82 [==========================>...] - ETA: 0s - loss: 0.2456 82/82 [==============================] - 0s 1ms/step - loss: 0.2477 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.4130 34/82 [===========>..................] - ETA: 0s - loss: 0.2197 67/82 [=======================>......] - ETA: 0s - loss: 0.2354 82/82 [==============================] - 0s 2ms/step - loss: 0.2423 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1212 36/82 [============>.................] - ETA: 0s - loss: 0.2391 73/82 [=========================>....] - ETA: 0s - loss: 0.2380 82/82 [==============================] - 0s 1ms/step - loss: 0.2377 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1202 36/82 [============>.................] - ETA: 0s - loss: 0.2099 74/82 [==========================>...] - ETA: 0s - loss: 0.2336 82/82 [==============================] - 0s 1ms/step - loss: 0.2334 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2674 38/82 [============>.................] - ETA: 0s - loss: 0.2459 73/82 [=========================>....] - ETA: 0s - loss: 0.2367 82/82 [==============================] - 0s 1ms/step - loss: 0.2296 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1144 35/82 [===========>..................] - ETA: 0s - loss: 0.2325 68/82 [=======================>......] - ETA: 0s - loss: 0.2181 82/82 [==============================] - 0s 2ms/step - loss: 0.2255 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1924 39/82 [=============>................] - ETA: 0s - loss: 0.2138 76/82 [==========================>...] - ETA: 0s - loss: 0.2169 82/82 [==============================] - 0s 1ms/step - loss: 0.2218 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.3301 39/82 [=============>................] - ETA: 0s - loss: 0.1913 74/82 [==========================>...] - ETA: 0s - loss: 0.2103 82/82 [==============================] - 0s 1ms/step - loss: 0.2162 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1470 38/82 [============>.................] - ETA: 0s - loss: 0.2119 75/82 [==========================>...] - ETA: 0s - loss: 0.2143 82/82 [==============================] - 0s 1ms/step - loss: 0.2141 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1103 36/82 [============>.................] - ETA: 0s - loss: 0.2071 73/82 [=========================>....] - ETA: 0s - loss: 0.2069 82/82 [==============================] - 0s 1ms/step - loss: 0.2099 -> test with GAN.predict GAN tn, fp: 186, 19 GAN fn, tp: 4, 5 GAN f1 score: 0.303 GAN cohens kappa score: 0.258 -> test with 'LR' LR tn, fp: 169, 36 LR fn, tp: 2, 7 LR f1 score: 0.269 LR cohens kappa score: 0.215 LR average precision score: 0.434 -> 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: 3, 6 KNN f1 score: 0.245 KNN cohens kappa score: 0.189 ------ 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: 0.1426 40/82 [=============>................] - ETA: 0s - loss: 0.1644  77/82 [===========================>..] - ETA: 0s - loss: 0.1702 82/82 [==============================] - 0s 1ms/step - loss: 0.1685 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0742 40/82 [=============>................] - ETA: 0s - loss: 0.1613 79/82 [===========================>..] - ETA: 0s - loss: 0.1671 82/82 [==============================] - 0s 1ms/step - loss: 0.1656 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0885 36/82 [============>.................] - ETA: 0s - loss: 0.1612 73/82 [=========================>....] - ETA: 0s - loss: 0.1603 82/82 [==============================] - 0s 1ms/step - loss: 0.1615 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3630 31/82 [==========>...................] - ETA: 0s - loss: 0.1653 68/82 [=======================>......] - ETA: 0s - loss: 0.1636 82/82 [==============================] - 0s 1ms/step - loss: 0.1592 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1181 35/82 [===========>..................] - ETA: 0s - loss: 0.1668 70/82 [========================>.....] - ETA: 0s - loss: 0.1581 82/82 [==============================] - 0s 1ms/step - loss: 0.1530 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0265 36/82 [============>.................] - ETA: 0s - loss: 0.1567 61/82 [=====================>........] - ETA: 0s - loss: 0.1536 82/82 [==============================] - 0s 2ms/step - loss: 0.1504 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0649 27/82 [========>.....................] - ETA: 0s - loss: 0.1503 56/82 [===================>..........] - ETA: 0s - loss: 0.1504 82/82 [==============================] - 0s 2ms/step - loss: 0.1464 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1448 35/82 [===========>..................] - ETA: 0s - loss: 0.1315 72/82 [=========================>....] - ETA: 0s - loss: 0.1352 82/82 [==============================] - 0s 1ms/step - loss: 0.1422 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0440 40/82 [=============>................] - ETA: 0s - loss: 0.1451 76/82 [==========================>...] - ETA: 0s - loss: 0.1396 82/82 [==============================] - 0s 1ms/step - loss: 0.1421 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1250 35/82 [===========>..................] - ETA: 0s - loss: 0.1189 67/82 [=======================>......] - ETA: 0s - loss: 0.1349 82/82 [==============================] - 0s 2ms/step - loss: 0.1366 -> test with GAN.predict GAN tn, fp: 193, 12 GAN fn, tp: 4, 5 GAN f1 score: 0.385 GAN cohens kappa score: 0.349 -> test with 'LR' LR tn, fp: 182, 23 LR fn, tp: 4, 5 LR f1 score: 0.270 LR cohens kappa score: 0.221 LR average precision score: 0.284 -> 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: 178, 27 KNN fn, tp: 3, 6 KNN f1 score: 0.286 KNN cohens kappa score: 0.235 ------ 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: 10s - loss: 0.0467 42/82 [==============>...............] - ETA: 0s - loss: 0.1911  82/82 [==============================] - 0s 1ms/step - loss: 0.1922 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1467 41/82 [==============>...............] - ETA: 0s - loss: 0.1961 81/82 [============================>.] - ETA: 0s - loss: 0.1907 82/82 [==============================] - 0s 1ms/step - loss: 0.1893 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2238 41/82 [==============>...............] - ETA: 0s - loss: 0.1840 82/82 [==============================] - 0s 1ms/step - loss: 0.1842 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1663 38/82 [============>.................] - ETA: 0s - loss: 0.1702 73/82 [=========================>....] - ETA: 0s - loss: 0.1805 82/82 [==============================] - 0s 1ms/step - loss: 0.1815 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.3156 32/82 [==========>...................] - ETA: 0s - loss: 0.1673 74/82 [==========================>...] - ETA: 0s - loss: 0.1727 82/82 [==============================] - 0s 1ms/step - loss: 0.1777 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1153 42/82 [==============>...............] - ETA: 0s - loss: 0.1805 80/82 [============================>.] - ETA: 0s - loss: 0.1757 82/82 [==============================] - 0s 1ms/step - loss: 0.1749 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1956 42/82 [==============>...............] - ETA: 0s - loss: 0.1949 82/82 [==============================] - ETA: 0s - loss: 0.1714 82/82 [==============================] - 0s 1ms/step - loss: 0.1714 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1972 43/82 [==============>...............] - ETA: 0s - loss: 0.1835 82/82 [==============================] - 0s 1ms/step - loss: 0.1681 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.2279 41/82 [==============>...............] - ETA: 0s - loss: 0.1684 81/82 [============================>.] - ETA: 0s - loss: 0.1631 82/82 [==============================] - 0s 1ms/step - loss: 0.1650 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1425 40/82 [=============>................] - ETA: 0s - loss: 0.1636 82/82 [==============================] - ETA: 0s - loss: 0.1629 82/82 [==============================] - 0s 1ms/step - loss: 0.1629 -> test with GAN.predict GAN tn, fp: 182, 21 GAN fn, tp: 4, 3 GAN f1 score: 0.194 GAN cohens kappa score: 0.150 -> test with 'LR' LR tn, fp: 162, 41 LR fn, tp: 1, 6 LR f1 score: 0.222 LR cohens kappa score: 0.174 LR average precision score: 0.239 -> 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: 198, 5 GB fn, tp: 6, 1 GB f1 score: 0.154 GB cohens kappa score: 0.127 -> test with 'KNN' KNN tn, fp: 182, 21 KNN fn, tp: 5, 2 KNN f1 score: 0.133 KNN cohens kappa score: 0.087 ====== 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: 14s - loss: 0.1041 41/82 [==============>...............] - ETA: 0s - loss: 0.1736  78/82 [===========================>..] - ETA: 0s - loss: 0.1846 82/82 [==============================] - 0s 1ms/step - loss: 0.1842 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1311 40/82 [=============>................] - ETA: 0s - loss: 0.1772 79/82 [===========================>..] - ETA: 0s - loss: 0.1769 82/82 [==============================] - 0s 1ms/step - loss: 0.1782 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0542 40/82 [=============>................] - ETA: 0s - loss: 0.1703 80/82 [============================>.] - ETA: 0s - loss: 0.1739 82/82 [==============================] - 0s 1ms/step - loss: 0.1730 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2248 40/82 [=============>................] - ETA: 0s - loss: 0.1861 79/82 [===========================>..] - ETA: 0s - loss: 0.1676 82/82 [==============================] - 0s 1ms/step - loss: 0.1691 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.4594 40/82 [=============>................] - ETA: 0s - loss: 0.1777 80/82 [============================>.] - ETA: 0s - loss: 0.1628 82/82 [==============================] - 0s 1ms/step - loss: 0.1625 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0593 41/82 [==============>...............] - ETA: 0s - loss: 0.1633 80/82 [============================>.] - ETA: 0s - loss: 0.1618 82/82 [==============================] - 0s 1ms/step - loss: 0.1594 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0821 36/82 [============>.................] - ETA: 0s - loss: 0.1406 73/82 [=========================>....] - ETA: 0s - loss: 0.1478 82/82 [==============================] - 0s 1ms/step - loss: 0.1542 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1395 37/82 [============>.................] - ETA: 0s - loss: 0.1463 74/82 [==========================>...] - ETA: 0s - loss: 0.1482 82/82 [==============================] - 0s 1ms/step - loss: 0.1487 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1044 38/82 [============>.................] - ETA: 0s - loss: 0.1549 78/82 [===========================>..] - ETA: 0s - loss: 0.1466 82/82 [==============================] - 0s 1ms/step - loss: 0.1454 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2095 39/82 [=============>................] - ETA: 0s - loss: 0.1527 75/82 [==========================>...] - ETA: 0s - loss: 0.1372 82/82 [==============================] - 0s 1ms/step - loss: 0.1399 -> test with GAN.predict GAN tn, fp: 189, 16 GAN fn, tp: 3, 6 GAN f1 score: 0.387 GAN cohens kappa score: 0.348 -> test with 'LR' LR tn, fp: 167, 38 LR fn, tp: 1, 8 LR f1 score: 0.291 LR cohens kappa score: 0.237 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: 200, 5 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.031 -> 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 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: 0.2829 38/82 [============>.................] - ETA: 0s - loss: 0.1775  77/82 [===========================>..] - ETA: 0s - loss: 0.1713 82/82 [==============================] - 0s 1ms/step - loss: 0.1720 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0908 40/82 [=============>................] - ETA: 0s - loss: 0.1556 79/82 [===========================>..] - ETA: 0s - loss: 0.1665 82/82 [==============================] - 0s 1ms/step - loss: 0.1689 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0951 38/82 [============>.................] - ETA: 0s - loss: 0.1622 78/82 [===========================>..] - ETA: 0s - loss: 0.1653 82/82 [==============================] - 0s 1ms/step - loss: 0.1629 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2892 33/82 [===========>..................] - ETA: 0s - loss: 0.1718 69/82 [========================>.....] - ETA: 0s - loss: 0.1594 82/82 [==============================] - 0s 1ms/step - loss: 0.1579 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1713 39/82 [=============>................] - ETA: 0s - loss: 0.1549 77/82 [===========================>..] - ETA: 0s - loss: 0.1555 82/82 [==============================] - 0s 1ms/step - loss: 0.1548 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0499 39/82 [=============>................] - ETA: 0s - loss: 0.1537 77/82 [===========================>..] - ETA: 0s - loss: 0.1509 82/82 [==============================] - 0s 1ms/step - loss: 0.1503 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0805 38/82 [============>.................] - ETA: 0s - loss: 0.1421 73/82 [=========================>....] - ETA: 0s - loss: 0.1512 82/82 [==============================] - 0s 1ms/step - loss: 0.1455 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.3252 37/82 [============>.................] - ETA: 0s - loss: 0.1492 66/82 [=======================>......] - ETA: 0s - loss: 0.1406 82/82 [==============================] - 0s 2ms/step - loss: 0.1417 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1345 39/82 [=============>................] - ETA: 0s - loss: 0.1211 73/82 [=========================>....] - ETA: 0s - loss: 0.1330 82/82 [==============================] - 0s 1ms/step - loss: 0.1391 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0454 39/82 [=============>................] - ETA: 0s - loss: 0.1329 76/82 [==========================>...] - ETA: 0s - loss: 0.1358 82/82 [==============================] - 0s 1ms/step - loss: 0.1358 -> 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: 182, 23 LR fn, tp: 2, 7 LR f1 score: 0.359 LR cohens kappa score: 0.315 LR average precision score: 0.561 -> 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: 8, 1 GB f1 score: 0.154 GB cohens kappa score: 0.131 -> 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 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: 0.2058 35/82 [===========>..................] - ETA: 0s - loss: 0.1794  67/82 [=======================>......] - ETA: 0s - loss: 0.1561 82/82 [==============================] - 0s 2ms/step - loss: 0.1652 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1968 41/82 [==============>...............] - ETA: 0s - loss: 0.1627 75/82 [==========================>...] - ETA: 0s - loss: 0.1607 82/82 [==============================] - 0s 1ms/step - loss: 0.1624 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.3462 41/82 [==============>...............] - ETA: 0s - loss: 0.1657 80/82 [============================>.] - ETA: 0s - loss: 0.1616 82/82 [==============================] - 0s 1ms/step - loss: 0.1603 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2581 41/82 [==============>...............] - ETA: 0s - loss: 0.1594 80/82 [============================>.] - ETA: 0s - loss: 0.1593 82/82 [==============================] - 0s 1ms/step - loss: 0.1577 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1409 40/82 [=============>................] - ETA: 0s - loss: 0.1651 79/82 [===========================>..] - ETA: 0s - loss: 0.1574 82/82 [==============================] - 0s 1ms/step - loss: 0.1560 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0370 41/82 [==============>...............] - ETA: 0s - loss: 0.1504 80/82 [============================>.] - ETA: 0s - loss: 0.1538 82/82 [==============================] - 0s 1ms/step - loss: 0.1534 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0512 39/82 [=============>................] - ETA: 0s - loss: 0.1437 76/82 [==========================>...] - ETA: 0s - loss: 0.1540 82/82 [==============================] - 0s 1ms/step - loss: 0.1521 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.3079 39/82 [=============>................] - ETA: 0s - loss: 0.1543 74/82 [==========================>...] - ETA: 0s - loss: 0.1549 82/82 [==============================] - 0s 1ms/step - loss: 0.1514 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0617 39/82 [=============>................] - ETA: 0s - loss: 0.1540 78/82 [===========================>..] - ETA: 0s - loss: 0.1515 82/82 [==============================] - 0s 1ms/step - loss: 0.1491 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2526 40/82 [=============>................] - ETA: 0s - loss: 0.1333 78/82 [===========================>..] - ETA: 0s - loss: 0.1447 82/82 [==============================] - 0s 1ms/step - loss: 0.1469 -> 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: 167, 38 LR fn, tp: 4, 5 LR f1 score: 0.192 LR cohens kappa score: 0.132 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: 179, 26 KNN fn, tp: 4, 5 KNN f1 score: 0.250 KNN cohens kappa score: 0.198 ------ 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: 14s - loss: 0.2545 39/82 [=============>................] - ETA: 0s - loss: 0.2174  78/82 [===========================>..] - ETA: 0s - loss: 0.2122 82/82 [==============================] - 0s 1ms/step - loss: 0.2108 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1617 41/82 [==============>...............] - ETA: 0s - loss: 0.2052 79/82 [===========================>..] - ETA: 0s - loss: 0.2047 82/82 [==============================] - 0s 1ms/step - loss: 0.2050 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0589 40/82 [=============>................] - ETA: 0s - loss: 0.2027 80/82 [============================>.] - ETA: 0s - loss: 0.2030 82/82 [==============================] - 0s 1ms/step - loss: 0.2004 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.4058 37/82 [============>.................] - ETA: 0s - loss: 0.2077 74/82 [==========================>...] - ETA: 0s - loss: 0.1973 82/82 [==============================] - 0s 1ms/step - loss: 0.1981 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1730 39/82 [=============>................] - ETA: 0s - loss: 0.1928 77/82 [===========================>..] - ETA: 0s - loss: 0.1930 82/82 [==============================] - 0s 1ms/step - loss: 0.1934 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2888 36/82 [============>.................] - ETA: 0s - loss: 0.1796 70/82 [========================>.....] - ETA: 0s - loss: 0.1831 82/82 [==============================] - 0s 1ms/step - loss: 0.1886 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0788 33/82 [===========>..................] - ETA: 0s - loss: 0.2007 68/82 [=======================>......] - ETA: 0s - loss: 0.1886 82/82 [==============================] - 0s 1ms/step - loss: 0.1864 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0659 39/82 [=============>................] - ETA: 0s - loss: 0.1774 78/82 [===========================>..] - ETA: 0s - loss: 0.1789 82/82 [==============================] - 0s 1ms/step - loss: 0.1803 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1371 41/82 [==============>...............] - ETA: 0s - loss: 0.1794 81/82 [============================>.] - ETA: 0s - loss: 0.1800 82/82 [==============================] - 0s 1ms/step - loss: 0.1797 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.4197 40/82 [=============>................] - ETA: 0s - loss: 0.1926 78/82 [===========================>..] - ETA: 0s - loss: 0.1704 82/82 [==============================] - 0s 1ms/step - loss: 0.1758 -> test with GAN.predict GAN tn, fp: 183, 22 GAN fn, tp: 3, 6 GAN f1 score: 0.324 GAN cohens kappa score: 0.278 -> test with 'LR' LR tn, fp: 170, 35 LR fn, tp: 0, 9 LR f1 score: 0.340 LR cohens kappa score: 0.290 LR average precision score: 0.379 -> 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: 177, 28 KNN fn, tp: 2, 7 KNN f1 score: 0.318 KNN cohens kappa score: 0.269 ------ 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: 0.2473 40/82 [=============>................] - ETA: 0s - loss: 0.1850  78/82 [===========================>..] - ETA: 0s - loss: 0.1979 82/82 [==============================] - 0s 1ms/step - loss: 0.1960 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0723 42/82 [==============>...............] - ETA: 0s - loss: 0.1888 81/82 [============================>.] - ETA: 0s - loss: 0.1900 82/82 [==============================] - 0s 1ms/step - loss: 0.1906 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0988 43/82 [==============>...............] - ETA: 0s - loss: 0.1893 82/82 [==============================] - ETA: 0s - loss: 0.1864 82/82 [==============================] - 0s 1ms/step - loss: 0.1864 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.5651 40/82 [=============>................] - ETA: 0s - loss: 0.1924 80/82 [============================>.] - ETA: 0s - loss: 0.1845 82/82 [==============================] - 0s 1ms/step - loss: 0.1832 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1607 39/82 [=============>................] - ETA: 0s - loss: 0.1639 80/82 [============================>.] - ETA: 0s - loss: 0.1794 82/82 [==============================] - 0s 1ms/step - loss: 0.1781 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0714 43/82 [==============>...............] - ETA: 0s - loss: 0.1877 82/82 [==============================] - 0s 1ms/step - loss: 0.1726 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1468 42/82 [==============>...............] - ETA: 0s - loss: 0.1871 82/82 [==============================] - 0s 1ms/step - loss: 0.1687 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0309 40/82 [=============>................] - ETA: 0s - loss: 0.1860 81/82 [============================>.] - ETA: 0s - loss: 0.1659 82/82 [==============================] - 0s 1ms/step - loss: 0.1646 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.2481 42/82 [==============>...............] - ETA: 0s - loss: 0.1396 82/82 [==============================] - ETA: 0s - loss: 0.1603 82/82 [==============================] - 0s 1ms/step - loss: 0.1603 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0966 41/82 [==============>...............] - ETA: 0s - loss: 0.1674 82/82 [==============================] - ETA: 0s - loss: 0.1552 82/82 [==============================] - 0s 1ms/step - loss: 0.1552 -> 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: 171, 32 LR fn, tp: 1, 6 LR f1 score: 0.267 LR cohens kappa score: 0.223 LR average precision score: 0.624 -> 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: 7, 0 GB f1 score: 0.000 GB cohens kappa score: -0.008 -> test with 'KNN' KNN tn, fp: 170, 33 KNN fn, tp: 3, 4 KNN f1 score: 0.182 KNN cohens kappa score: 0.133 ====== 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: 0.3364 39/82 [=============>................] - ETA: 0s - loss: 0.2414  78/82 [===========================>..] - ETA: 0s - loss: 0.2236 82/82 [==============================] - 0s 1ms/step - loss: 0.2203 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0982 40/82 [=============>................] - ETA: 0s - loss: 0.1941 78/82 [===========================>..] - ETA: 0s - loss: 0.2105 82/82 [==============================] - 0s 1ms/step - loss: 0.2109 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1426 38/82 [============>.................] - ETA: 0s - loss: 0.2228 76/82 [==========================>...] - ETA: 0s - loss: 0.2047 82/82 [==============================] - 0s 1ms/step - loss: 0.2051 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2292 40/82 [=============>................] - ETA: 0s - loss: 0.1947 78/82 [===========================>..] - ETA: 0s - loss: 0.1988 82/82 [==============================] - 0s 1ms/step - loss: 0.1990 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1797 39/82 [=============>................] - ETA: 0s - loss: 0.1935 69/82 [========================>.....] - ETA: 0s - loss: 0.2024 82/82 [==============================] - 0s 2ms/step - loss: 0.1939 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0942 35/82 [===========>..................] - ETA: 0s - loss: 0.1758 70/82 [========================>.....] - ETA: 0s - loss: 0.1827 82/82 [==============================] - 0s 1ms/step - loss: 0.1876 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.3201 33/82 [===========>..................] - ETA: 0s - loss: 0.1852 72/82 [=========================>....] - ETA: 0s - loss: 0.1831 82/82 [==============================] - 0s 1ms/step - loss: 0.1826 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2792 39/82 [=============>................] - ETA: 0s - loss: 0.1869 75/82 [==========================>...] - ETA: 0s - loss: 0.1831 82/82 [==============================] - 0s 1ms/step - loss: 0.1774 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0962 37/82 [============>.................] - ETA: 0s - loss: 0.1914 77/82 [===========================>..] - ETA: 0s - loss: 0.1716 82/82 [==============================] - 0s 1ms/step - loss: 0.1722 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.3415 36/82 [============>.................] - ETA: 0s - loss: 0.1672 73/82 [=========================>....] - ETA: 0s - loss: 0.1682 82/82 [==============================] - 0s 1ms/step - loss: 0.1670 -> test with GAN.predict GAN tn, fp: 186, 19 GAN fn, tp: 4, 5 GAN f1 score: 0.303 GAN cohens kappa score: 0.258 -> test with 'LR' LR tn, fp: 173, 32 LR fn, tp: 4, 5 LR f1 score: 0.217 LR cohens kappa score: 0.161 LR average precision score: 0.204 -> 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: 204, 1 GB fn, tp: 8, 1 GB f1 score: 0.182 GB cohens kappa score: 0.169 -> test with 'KNN' KNN tn, fp: 180, 25 KNN fn, tp: 2, 7 KNN f1 score: 0.341 KNN cohens kappa score: 0.295 ------ 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: 14s - loss: 0.1398 40/82 [=============>................] - ETA: 0s - loss: 0.2368  80/82 [============================>.] - ETA: 0s - loss: 0.2190 82/82 [==============================] - 0s 1ms/step - loss: 0.2202 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2936 39/82 [=============>................] - ETA: 0s - loss: 0.2085 78/82 [===========================>..] - ETA: 0s - loss: 0.2137 82/82 [==============================] - 0s 1ms/step - loss: 0.2158 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.3696 39/82 [=============>................] - ETA: 0s - loss: 0.2171 77/82 [===========================>..] - ETA: 0s - loss: 0.2130 82/82 [==============================] - 0s 1ms/step - loss: 0.2115 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1767 40/82 [=============>................] - ETA: 0s - loss: 0.2052 79/82 [===========================>..] - ETA: 0s - loss: 0.2047 82/82 [==============================] - 0s 1ms/step - loss: 0.2086 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2297 38/82 [============>.................] - ETA: 0s - loss: 0.2185 71/82 [========================>.....] - ETA: 0s - loss: 0.2041 82/82 [==============================] - 0s 2ms/step - loss: 0.2046 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2937 32/82 [==========>...................] - ETA: 0s - loss: 0.1928 65/82 [======================>.......] - ETA: 0s - loss: 0.1947 82/82 [==============================] - 0s 2ms/step - loss: 0.2014 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0518 41/82 [==============>...............] - ETA: 0s - loss: 0.1964 80/82 [============================>.] - ETA: 0s - loss: 0.1979 82/82 [==============================] - 0s 1ms/step - loss: 0.1982 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1558 41/82 [==============>...............] - ETA: 0s - loss: 0.2020 79/82 [===========================>..] - ETA: 0s - loss: 0.1942 82/82 [==============================] - 0s 1ms/step - loss: 0.1970 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.3492 41/82 [==============>...............] - ETA: 0s - loss: 0.1939 81/82 [============================>.] - ETA: 0s - loss: 0.1925 82/82 [==============================] - 0s 1ms/step - loss: 0.1919 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2684 40/82 [=============>................] - ETA: 0s - loss: 0.1979 79/82 [===========================>..] - ETA: 0s - loss: 0.1865 82/82 [==============================] - 0s 1ms/step - loss: 0.1887 -> test with GAN.predict GAN tn, fp: 184, 21 GAN fn, tp: 3, 6 GAN f1 score: 0.333 GAN cohens kappa score: 0.288 -> test with 'LR' LR tn, fp: 172, 33 LR fn, tp: 1, 8 LR f1 score: 0.320 LR cohens kappa score: 0.270 LR average precision score: 0.439 -> 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: 175, 30 KNN fn, tp: 3, 6 KNN f1 score: 0.267 KNN cohens kappa score: 0.214 ------ 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: 0.1566 33/82 [===========>..................] - ETA: 0s - loss: 0.2257  69/82 [========================>.....] - ETA: 0s - loss: 0.2245 82/82 [==============================] - 0s 2ms/step - loss: 0.2206 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2726 35/82 [===========>..................] - ETA: 0s - loss: 0.2094 74/82 [==========================>...] - ETA: 0s - loss: 0.2078 82/82 [==============================] - 0s 1ms/step - loss: 0.2123 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.3738 39/82 [=============>................] - ETA: 0s - loss: 0.2201 77/82 [===========================>..] - ETA: 0s - loss: 0.2073 82/82 [==============================] - 0s 1ms/step - loss: 0.2075 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1669 40/82 [=============>................] - ETA: 0s - loss: 0.1946 77/82 [===========================>..] - ETA: 0s - loss: 0.2031 82/82 [==============================] - 0s 1ms/step - loss: 0.2050 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.3214 39/82 [=============>................] - ETA: 0s - loss: 0.2109 78/82 [===========================>..] - ETA: 0s - loss: 0.2024 82/82 [==============================] - 0s 1ms/step - loss: 0.1987 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2609 40/82 [=============>................] - ETA: 0s - loss: 0.2027 78/82 [===========================>..] - ETA: 0s - loss: 0.1963 82/82 [==============================] - 0s 1ms/step - loss: 0.1962 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1888 40/82 [=============>................] - ETA: 0s - loss: 0.1970 77/82 [===========================>..] - ETA: 0s - loss: 0.1933 82/82 [==============================] - 0s 1ms/step - loss: 0.1912 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1409 38/82 [============>.................] - ETA: 0s - loss: 0.1837 76/82 [==========================>...] - ETA: 0s - loss: 0.1848 82/82 [==============================] - 0s 1ms/step - loss: 0.1874 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1614 38/82 [============>.................] - ETA: 0s - loss: 0.1635 77/82 [===========================>..] - ETA: 0s - loss: 0.1787 82/82 [==============================] - 0s 1ms/step - loss: 0.1824 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1576 39/82 [=============>................] - ETA: 0s - loss: 0.1841 77/82 [===========================>..] - ETA: 0s - loss: 0.1837 82/82 [==============================] - 0s 1ms/step - loss: 0.1793 -> 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: 177, 28 LR fn, tp: 0, 9 LR f1 score: 0.391 LR cohens kappa score: 0.347 LR average precision score: 0.446 -> 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: 173, 32 KNN fn, tp: 2, 7 KNN f1 score: 0.292 KNN cohens kappa score: 0.240 ------ 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: 0.0668 39/82 [=============>................] - ETA: 0s - loss: 0.1533  78/82 [===========================>..] - ETA: 0s - loss: 0.1403 82/82 [==============================] - 0s 1ms/step - loss: 0.1416 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1049 40/82 [=============>................] - ETA: 0s - loss: 0.1262 74/82 [==========================>...] - ETA: 0s - loss: 0.1362 82/82 [==============================] - 0s 1ms/step - loss: 0.1375 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2235 39/82 [=============>................] - ETA: 0s - loss: 0.1232 78/82 [===========================>..] - ETA: 0s - loss: 0.1279 82/82 [==============================] - 0s 1ms/step - loss: 0.1346 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0684 40/82 [=============>................] - ETA: 0s - loss: 0.1320 78/82 [===========================>..] - ETA: 0s - loss: 0.1334 82/82 [==============================] - 0s 1ms/step - loss: 0.1308 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0769 37/82 [============>.................] - ETA: 0s - loss: 0.1272 75/82 [==========================>...] - ETA: 0s - loss: 0.1270 82/82 [==============================] - 0s 1ms/step - loss: 0.1284 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0927 40/82 [=============>................] - ETA: 0s - loss: 0.1196 76/82 [==========================>...] - ETA: 0s - loss: 0.1252 82/82 [==============================] - 0s 1ms/step - loss: 0.1261 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0639 40/82 [=============>................] - ETA: 0s - loss: 0.1280 78/82 [===========================>..] - ETA: 0s - loss: 0.1274 82/82 [==============================] - 0s 1ms/step - loss: 0.1245 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0782 40/82 [=============>................] - ETA: 0s - loss: 0.1272 79/82 [===========================>..] - ETA: 0s - loss: 0.1212 82/82 [==============================] - 0s 1ms/step - loss: 0.1219 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1015 36/82 [============>.................] - ETA: 0s - loss: 0.1356 74/82 [==========================>...] - ETA: 0s - loss: 0.1129 82/82 [==============================] - 0s 1ms/step - loss: 0.1193 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.3055 39/82 [=============>................] - ETA: 0s - loss: 0.1219 72/82 [=========================>....] - ETA: 0s - loss: 0.1207 82/82 [==============================] - 0s 1ms/step - loss: 0.1173 -> 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: 180, 25 LR fn, tp: 4, 5 LR f1 score: 0.256 LR cohens kappa score: 0.205 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: 189, 16 KNN fn, tp: 5, 4 KNN f1 score: 0.276 KNN cohens kappa score: 0.231 ------ 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: 14s - loss: 0.2652 36/82 [============>.................] - ETA: 0s - loss: 0.1835  72/82 [=========================>....] - ETA: 0s - loss: 0.1811 82/82 [==============================] - 0s 1ms/step - loss: 0.1792 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0945 35/82 [===========>..................] - ETA: 0s - loss: 0.1578 67/82 [=======================>......] - ETA: 0s - loss: 0.1744 82/82 [==============================] - 0s 2ms/step - loss: 0.1730 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2054 34/82 [===========>..................] - ETA: 0s - loss: 0.1671 67/82 [=======================>......] - ETA: 0s - loss: 0.1814 82/82 [==============================] - 0s 2ms/step - loss: 0.1706 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3038 32/82 [==========>...................] - ETA: 0s - loss: 0.1703 62/82 [=====================>........] - ETA: 0s - loss: 0.1743 82/82 [==============================] - 0s 2ms/step - loss: 0.1671 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1198 31/82 [==========>...................] - ETA: 0s - loss: 0.1507 55/82 [===================>..........] - ETA: 0s - loss: 0.1415 82/82 [==============================] - ETA: 0s - loss: 0.1625 82/82 [==============================] - 0s 2ms/step - loss: 0.1625 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2650 30/82 [=========>....................] - ETA: 0s - loss: 0.1807 61/82 [=====================>........] - ETA: 0s - loss: 0.1663 82/82 [==============================] - 0s 2ms/step - loss: 0.1589 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1087 32/82 [==========>...................] - ETA: 0s - loss: 0.1563 65/82 [======================>.......] - ETA: 0s - loss: 0.1619 82/82 [==============================] - 0s 2ms/step - loss: 0.1590 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1275 33/82 [===========>..................] - ETA: 0s - loss: 0.1580 66/82 [=======================>......] - ETA: 0s - loss: 0.1507 82/82 [==============================] - 0s 2ms/step - loss: 0.1526 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0906 28/82 [=========>....................] - ETA: 0s - loss: 0.1676 60/82 [====================>.........] - ETA: 0s - loss: 0.1540 82/82 [==============================] - 0s 2ms/step - loss: 0.1505 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1694 39/82 [=============>................] - ETA: 0s - loss: 0.1509 77/82 [===========================>..] - ETA: 0s - loss: 0.1464 82/82 [==============================] - 0s 1ms/step - loss: 0.1490 -> test with GAN.predict GAN tn, fp: 178, 25 GAN fn, tp: 4, 3 GAN f1 score: 0.171 GAN cohens kappa score: 0.125 -> 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: 0.326 -> 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: 196, 7 GB fn, tp: 5, 2 GB f1 score: 0.250 GB cohens kappa score: 0.221 -> test with 'KNN' KNN tn, fp: 173, 30 KNN fn, tp: 4, 3 KNN f1 score: 0.150 KNN cohens kappa score: 0.101 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 187, 50 LR fn, tp: 5, 9 LR f1 score: 0.419 LR cohens kappa score: 0.377 LR average precision score: 0.724 average: LR tn, fp: 172.16, 32.44 LR fn, tp: 2.2, 6.4 LR f1 score: 0.273 LR cohens kappa score: 0.223 LR average precision score: 0.354 minimum: LR tn, fp: 155, 18 LR fn, tp: 0, 4 LR f1 score: 0.170 LR cohens kappa score: 0.110 LR average precision score: 0.086 -----[ RF ]----- maximum: RF tn, fp: 205, 8 RF fn, tp: 9, 2 RF f1 score: 0.211 RF cohens kappa score: 0.193 average: RF tn, fp: 201.64, 2.96 RF fn, tp: 8.2, 0.4 RF f1 score: 0.062 RF cohens kappa score: 0.043 minimum: RF tn, fp: 196, 0 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.035 -----[ GB ]----- maximum: GB tn, fp: 205, 7 GB fn, tp: 9, 3 GB f1 score: 0.462 GB cohens kappa score: 0.447 average: GB tn, fp: 202.88, 1.72 GB fn, tp: 7.76, 0.84 GB f1 score: 0.139 GB cohens kappa score: 0.125 minimum: GB tn, fp: 196, 0 GB fn, tp: 5, 0 GB f1 score: 0.000 GB cohens kappa score: -0.031 -----[ KNN ]----- maximum: KNN tn, fp: 196, 40 KNN fn, tp: 5, 7 KNN f1 score: 0.560 KNN cohens kappa score: 0.535 average: KNN tn, fp: 177.76, 26.84 KNN fn, tp: 3.2, 5.4 KNN f1 score: 0.269 KNN cohens kappa score: 0.220 minimum: KNN tn, fp: 165, 9 KNN fn, tp: 1, 2 KNN f1 score: 0.133 KNN cohens kappa score: 0.087 -----[ GAN ]----- maximum: GAN tn, fp: 199, 26 GAN fn, tp: 6, 7 GAN f1 score: 0.609 GAN cohens kappa score: 0.588 average: GAN tn, fp: 186.96, 17.64 GAN fn, tp: 3.72, 4.88 GAN f1 score: 0.321 GAN cohens kappa score: 0.279 minimum: GAN tn, fp: 177, 6 GAN fn, tp: 1, 3 GAN f1 score: 0.171 GAN cohens kappa score: 0.125