/////////////////////////////////////////// // Running convGAN-majority-full on folding_yeast4 /////////////////////////////////////////// Load 'data_input/folding_yeast4' from pickle file 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 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 18s - loss: 0.2124 41/115 [=========>....................] - ETA: 0s - loss: 0.1608  81/115 [====================>.........] - ETA: 0s - loss: 0.1717 115/115 [==============================] - 0s 1ms/step - loss: 0.1759 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1275 42/115 [=========>....................] - ETA: 0s - loss: 0.1676 82/115 [====================>.........] - ETA: 0s - loss: 0.1738 115/115 [==============================] - 0s 1ms/step - loss: 0.1741 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1206 41/115 [=========>....................] - ETA: 0s - loss: 0.1701 82/115 [====================>.........] - ETA: 0s - loss: 0.1605 115/115 [==============================] - 0s 1ms/step - loss: 0.1682 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1127 42/115 [=========>....................] - ETA: 0s - loss: 0.1616 83/115 [====================>.........] - ETA: 0s - loss: 0.1694 115/115 [==============================] - 0s 1ms/step - loss: 0.1677 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.1526 42/115 [=========>....................] - ETA: 0s - loss: 0.1813 81/115 [====================>.........] - ETA: 0s - loss: 0.1744 115/115 [==============================] - 0s 1ms/step - loss: 0.1679 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.2464 42/115 [=========>....................] - ETA: 0s - loss: 0.1674 83/115 [====================>.........] - ETA: 0s - loss: 0.1571 115/115 [==============================] - 0s 1ms/step - loss: 0.1640 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1420 42/115 [=========>....................] - ETA: 0s - loss: 0.1616 82/115 [====================>.........] - ETA: 0s - loss: 0.1483 115/115 [==============================] - 0s 1ms/step - loss: 0.1630 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.0437 38/115 [========>.....................] - ETA: 0s - loss: 0.1723 76/115 [==================>...........] - ETA: 0s - loss: 0.1734 115/115 [==============================] - ETA: 0s - loss: 0.1654 115/115 [==============================] - 0s 1ms/step - loss: 0.1654 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.1017 41/115 [=========>....................] - ETA: 0s - loss: 0.1661 80/115 [===================>..........] - ETA: 0s - loss: 0.1633 115/115 [==============================] - 0s 1ms/step - loss: 0.1611 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.2900 41/115 [=========>....................] - ETA: 0s - loss: 0.1689 82/115 [====================>.........] - ETA: 0s - loss: 0.1646 115/115 [==============================] - 0s 1ms/step - loss: 0.1633 -> test with GAN.predict GAN tn, fp: 261, 26 GAN fn, tp: 3, 8 GAN f1 score: 0.356 GAN cohens kappa score: 0.317 -> test with 'LR' LR tn, fp: 256, 31 LR fn, tp: 3, 8 LR f1 score: 0.320 LR cohens kappa score: 0.278 LR average precision score: 0.337 -> test with 'RF' RF tn, fp: 284, 3 RF fn, tp: 10, 1 RF f1 score: 0.133 RF cohens kappa score: 0.116 -> test with 'GB' GB tn, fp: 282, 5 GB fn, tp: 8, 3 GB f1 score: 0.316 GB cohens kappa score: 0.294 -> test with 'KNN' KNN tn, fp: 259, 28 KNN fn, tp: 2, 9 KNN f1 score: 0.375 KNN cohens kappa score: 0.337 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 17s - loss: 0.1872 35/115 [========>.....................] - ETA: 0s - loss: 0.2271  72/115 [=================>............] - ETA: 0s - loss: 0.2156 107/115 [==========================>...] - ETA: 0s - loss: 0.2184 115/115 [==============================] - 0s 1ms/step - loss: 0.2113 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.5889 41/115 [=========>....................] - ETA: 0s - loss: 0.2026 82/115 [====================>.........] - ETA: 0s - loss: 0.2108 115/115 [==============================] - 0s 1ms/step - loss: 0.2208 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.0785 39/115 [=========>....................] - ETA: 0s - loss: 0.2014 80/115 [===================>..........] - ETA: 0s - loss: 0.2029 115/115 [==============================] - 0s 1ms/step - loss: 0.2152 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1094 42/115 [=========>....................] - ETA: 0s - loss: 0.1961 82/115 [====================>.........] - ETA: 0s - loss: 0.2107 115/115 [==============================] - 0s 1ms/step - loss: 0.2083 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.2764 42/115 [=========>....................] - ETA: 0s - loss: 0.1886 82/115 [====================>.........] - ETA: 0s - loss: 0.2109 115/115 [==============================] - 0s 1ms/step - loss: 0.2063 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.4101 41/115 [=========>....................] - ETA: 0s - loss: 0.2393 80/115 [===================>..........] - ETA: 0s - loss: 0.2137 115/115 [==============================] - 0s 1ms/step - loss: 0.2040 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1357 42/115 [=========>....................] - ETA: 0s - loss: 0.2306 83/115 [====================>.........] - ETA: 0s - loss: 0.2184 115/115 [==============================] - 0s 1ms/step - loss: 0.2044 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.4756 41/115 [=========>....................] - ETA: 0s - loss: 0.2243 78/115 [===================>..........] - ETA: 0s - loss: 0.2084 115/115 [==============================] - 0s 1ms/step - loss: 0.2070 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.2235 41/115 [=========>....................] - ETA: 0s - loss: 0.2192 82/115 [====================>.........] - ETA: 0s - loss: 0.2133 115/115 [==============================] - 0s 1ms/step - loss: 0.2037 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.2199 42/115 [=========>....................] - ETA: 0s - loss: 0.2058 83/115 [====================>.........] - ETA: 0s - loss: 0.2055 115/115 [==============================] - 0s 1ms/step - loss: 0.2024 -> test with GAN.predict GAN tn, fp: 263, 24 GAN fn, tp: 3, 8 GAN f1 score: 0.372 GAN cohens kappa score: 0.336 -> test with 'LR' LR tn, fp: 245, 42 LR fn, tp: 2, 9 LR f1 score: 0.290 LR cohens kappa score: 0.244 LR average precision score: 0.613 -> test with 'RF' RF tn, fp: 286, 1 RF fn, tp: 8, 3 RF f1 score: 0.400 RF cohens kappa score: 0.388 -> test with 'GB' GB tn, fp: 284, 3 GB fn, tp: 7, 4 GB f1 score: 0.444 GB cohens kappa score: 0.428 -> test with 'KNN' KNN tn, fp: 255, 32 KNN fn, tp: 1, 10 KNN f1 score: 0.377 KNN cohens kappa score: 0.339 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 18s - loss: 0.3249 42/115 [=========>....................] - ETA: 0s - loss: 0.1967  83/115 [====================>.........] - ETA: 0s - loss: 0.1862 115/115 [==============================] - 0s 1ms/step - loss: 0.1892 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.0836 41/115 [=========>....................] - ETA: 0s - loss: 0.1881 81/115 [====================>.........] - ETA: 0s - loss: 0.1698 115/115 [==============================] - 0s 1ms/step - loss: 0.1812 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1491 41/115 [=========>....................] - ETA: 0s - loss: 0.1536 81/115 [====================>.........] - ETA: 0s - loss: 0.1790 115/115 [==============================] - 0s 1ms/step - loss: 0.1797 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1988 41/115 [=========>....................] - ETA: 0s - loss: 0.1787 81/115 [====================>.........] - ETA: 0s - loss: 0.1760 115/115 [==============================] - 0s 1ms/step - loss: 0.1807 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.1821 41/115 [=========>....................] - ETA: 0s - loss: 0.1779 82/115 [====================>.........] - ETA: 0s - loss: 0.1789 115/115 [==============================] - 0s 1ms/step - loss: 0.1771 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.1867 41/115 [=========>....................] - ETA: 0s - loss: 0.1603 82/115 [====================>.........] - ETA: 0s - loss: 0.1692 115/115 [==============================] - 0s 1ms/step - loss: 0.1732 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.2466 42/115 [=========>....................] - ETA: 0s - loss: 0.2011 82/115 [====================>.........] - ETA: 0s - loss: 0.1697 115/115 [==============================] - 0s 1ms/step - loss: 0.1727 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1712 42/115 [=========>....................] - ETA: 0s - loss: 0.1696 79/115 [===================>..........] - ETA: 0s - loss: 0.1706 112/115 [============================>.] - ETA: 0s - loss: 0.1793 115/115 [==============================] - 0s 1ms/step - loss: 0.1788 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.1313 37/115 [========>.....................] - ETA: 0s - loss: 0.1546 75/115 [==================>...........] - ETA: 0s - loss: 0.1712 115/115 [==============================] - 0s 1ms/step - loss: 0.1727 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1461 42/115 [=========>....................] - ETA: 0s - loss: 0.1540 82/115 [====================>.........] - ETA: 0s - loss: 0.1597 115/115 [==============================] - 0s 1ms/step - loss: 0.1708 -> test with GAN.predict GAN tn, fp: 259, 28 GAN fn, tp: 4, 7 GAN f1 score: 0.304 GAN cohens kappa score: 0.263 -> test with 'LR' LR tn, fp: 249, 38 LR fn, tp: 2, 9 LR f1 score: 0.310 LR cohens kappa score: 0.266 LR average precision score: 0.305 -> test with 'RF' RF tn, fp: 284, 3 RF fn, tp: 8, 3 RF f1 score: 0.353 RF cohens kappa score: 0.336 -> test with 'GB' GB tn, fp: 278, 9 GB fn, tp: 8, 3 GB f1 score: 0.261 GB cohens kappa score: 0.231 -> test with 'KNN' KNN tn, fp: 264, 23 KNN fn, tp: 4, 7 KNN f1 score: 0.341 KNN cohens kappa score: 0.304 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 18s - loss: 0.2231 42/115 [=========>....................] - ETA: 0s - loss: 0.1736  83/115 [====================>.........] - ETA: 0s - loss: 0.1747 115/115 [==============================] - 0s 1ms/step - loss: 0.1791 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1787 41/115 [=========>....................] - ETA: 0s - loss: 0.1840 80/115 [===================>..........] - ETA: 0s - loss: 0.1824 115/115 [==============================] - 0s 1ms/step - loss: 0.1739 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.2156 41/115 [=========>....................] - ETA: 0s - loss: 0.1790 80/115 [===================>..........] - ETA: 0s - loss: 0.1719 115/115 [==============================] - 0s 1ms/step - loss: 0.1752 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.2795 39/115 [=========>....................] - ETA: 0s - loss: 0.1850 78/115 [===================>..........] - ETA: 0s - loss: 0.1664 115/115 [==============================] - ETA: 0s - loss: 0.1704 115/115 [==============================] - 0s 1ms/step - loss: 0.1704 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0948 38/115 [========>.....................] - ETA: 0s - loss: 0.1670 72/115 [=================>............] - ETA: 0s - loss: 0.1783 106/115 [==========================>...] - ETA: 0s - loss: 0.1686 115/115 [==============================] - 0s 1ms/step - loss: 0.1684 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.3254 40/115 [=========>....................] - ETA: 0s - loss: 0.1657 78/115 [===================>..........] - ETA: 0s - loss: 0.1669 115/115 [==============================] - 0s 1ms/step - loss: 0.1678 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1806 39/115 [=========>....................] - ETA: 0s - loss: 0.1942 80/115 [===================>..........] - ETA: 0s - loss: 0.1752 115/115 [==============================] - 0s 1ms/step - loss: 0.1726 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1735 40/115 [=========>....................] - ETA: 0s - loss: 0.1967 80/115 [===================>..........] - ETA: 0s - loss: 0.1748 115/115 [==============================] - 0s 1ms/step - loss: 0.1751 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.2037 40/115 [=========>....................] - ETA: 0s - loss: 0.1557 79/115 [===================>..........] - ETA: 0s - loss: 0.1699 115/115 [==============================] - 0s 1ms/step - loss: 0.1700 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1053 42/115 [=========>....................] - ETA: 0s - loss: 0.1571 82/115 [====================>.........] - ETA: 0s - loss: 0.1679 115/115 [==============================] - 0s 1ms/step - loss: 0.1699 -> test with GAN.predict GAN tn, fp: 264, 23 GAN fn, tp: 7, 4 GAN f1 score: 0.211 GAN cohens kappa score: 0.167 -> test with 'LR' LR tn, fp: 255, 32 LR fn, tp: 6, 5 LR f1 score: 0.208 LR cohens kappa score: 0.161 LR average precision score: 0.221 -> test with 'RF' RF tn, fp: 281, 6 RF fn, tp: 8, 3 RF f1 score: 0.300 RF cohens kappa score: 0.276 -> test with 'GB' GB tn, fp: 278, 9 GB fn, tp: 8, 3 GB f1 score: 0.261 GB cohens kappa score: 0.231 -> test with 'KNN' KNN tn, fp: 263, 24 KNN fn, tp: 5, 6 KNN f1 score: 0.293 KNN cohens kappa score: 0.252 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1104 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 18s - loss: 0.1911 40/115 [=========>....................] - ETA: 0s - loss: 0.2225  80/115 [===================>..........] - ETA: 0s - loss: 0.2099 115/115 [==============================] - 0s 1ms/step - loss: 0.2047 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.3832 40/115 [=========>....................] - ETA: 0s - loss: 0.1917 80/115 [===================>..........] - ETA: 0s - loss: 0.2101 115/115 [==============================] - 0s 1ms/step - loss: 0.2043 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1352 41/115 [=========>....................] - ETA: 0s - loss: 0.2108 80/115 [===================>..........] - ETA: 0s - loss: 0.2066 115/115 [==============================] - 0s 1ms/step - loss: 0.2035 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.0686 42/115 [=========>....................] - ETA: 0s - loss: 0.2126 68/115 [================>.............] - ETA: 0s - loss: 0.1969 107/115 [==========================>...] - ETA: 0s - loss: 0.2012 115/115 [==============================] - 0s 1ms/step - loss: 0.1985 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.2547 41/115 [=========>....................] - ETA: 0s - loss: 0.1927 74/115 [==================>...........] - ETA: 0s - loss: 0.1908 108/115 [===========================>..] - ETA: 0s - loss: 0.1915 115/115 [==============================] - 0s 1ms/step - loss: 0.1974 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.3245 34/115 [=======>......................] - ETA: 0s - loss: 0.1972 70/115 [=================>............] - ETA: 0s - loss: 0.1956 108/115 [===========================>..] - ETA: 0s - loss: 0.1948 115/115 [==============================] - 0s 1ms/step - loss: 0.1982 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1368 32/115 [=======>......................] - ETA: 0s - loss: 0.1810 66/115 [================>.............] - ETA: 0s - loss: 0.2119 103/115 [=========================>....] - ETA: 0s - loss: 0.1946 115/115 [==============================] - 0s 1ms/step - loss: 0.1997 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.2637 34/115 [=======>......................] - ETA: 0s - loss: 0.1936 64/115 [===============>..............] - ETA: 0s - loss: 0.1829 102/115 [=========================>....] - ETA: 0s - loss: 0.1917 115/115 [==============================] - 0s 2ms/step - loss: 0.1976 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.1689 35/115 [========>.....................] - ETA: 0s - loss: 0.2036 65/115 [===============>..............] - ETA: 0s - loss: 0.1873 95/115 [=======================>......] - ETA: 0s - loss: 0.1967 115/115 [==============================] - 0s 2ms/step - loss: 0.1959 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.0371 34/115 [=======>......................] - ETA: 0s - loss: 0.1780 69/115 [=================>............] - ETA: 0s - loss: 0.2021 107/115 [==========================>...] - ETA: 0s - loss: 0.1986 115/115 [==============================] - 0s 1ms/step - loss: 0.1990 -> test with GAN.predict GAN tn, fp: 250, 35 GAN fn, tp: 2, 5 GAN f1 score: 0.213 GAN cohens kappa score: 0.179 -> test with 'LR' LR tn, fp: 248, 37 LR fn, tp: 1, 6 LR f1 score: 0.240 LR cohens kappa score: 0.207 LR average precision score: 0.473 -> test with 'RF' RF tn, fp: 283, 2 RF fn, tp: 5, 2 RF f1 score: 0.364 RF cohens kappa score: 0.352 -> test with 'GB' GB tn, fp: 281, 4 GB fn, tp: 4, 3 GB f1 score: 0.429 GB cohens kappa score: 0.415 -> test with 'KNN' KNN tn, fp: 260, 25 KNN fn, tp: 1, 6 KNN f1 score: 0.316 KNN cohens kappa score: 0.288 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 17s - loss: 0.2548 42/115 [=========>....................] - ETA: 0s - loss: 0.2501  83/115 [====================>.........] - ETA: 0s - loss: 0.2317 115/115 [==============================] - 0s 1ms/step - loss: 0.2229 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2089 41/115 [=========>....................] - ETA: 0s - loss: 0.2306 81/115 [====================>.........] - ETA: 0s - loss: 0.2269 115/115 [==============================] - 0s 1ms/step - loss: 0.2202 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1395 38/115 [========>.....................] - ETA: 0s - loss: 0.2034 79/115 [===================>..........] - ETA: 0s - loss: 0.2234 115/115 [==============================] - 0s 1ms/step - loss: 0.2164 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1460 42/115 [=========>....................] - ETA: 0s - loss: 0.2090 84/115 [====================>.........] - ETA: 0s - loss: 0.2133 115/115 [==============================] - 0s 1ms/step - loss: 0.2189 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.1581 42/115 [=========>....................] - ETA: 0s - loss: 0.2067 83/115 [====================>.........] - ETA: 0s - loss: 0.2015 115/115 [==============================] - 0s 1ms/step - loss: 0.2124 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.1815 42/115 [=========>....................] - ETA: 0s - loss: 0.2354 83/115 [====================>.........] - ETA: 0s - loss: 0.2245 115/115 [==============================] - 0s 1ms/step - loss: 0.2168 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1166 40/115 [=========>....................] - ETA: 0s - loss: 0.2135 81/115 [====================>.........] - ETA: 0s - loss: 0.2152 88/115 [=====================>........] - ETA: 0s - loss: 0.2181 115/115 [==============================] - 0s 3ms/step - loss: 0.2176 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.0993 40/115 [=========>....................] - ETA: 0s - loss: 0.2101 80/115 [===================>..........] - ETA: 0s - loss: 0.2118 115/115 [==============================] - 0s 1ms/step - loss: 0.2107 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.2400 40/115 [=========>....................] - ETA: 0s - loss: 0.2045 79/115 [===================>..........] - ETA: 0s - loss: 0.2107 115/115 [==============================] - 0s 1ms/step - loss: 0.2146 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1427 41/115 [=========>....................] - ETA: 0s - loss: 0.2336 75/115 [==================>...........] - ETA: 0s - loss: 0.2195 110/115 [===========================>..] - ETA: 0s - loss: 0.2110 115/115 [==============================] - 0s 1ms/step - loss: 0.2117 -> test with GAN.predict GAN tn, fp: 270, 17 GAN fn, tp: 4, 7 GAN f1 score: 0.400 GAN cohens kappa score: 0.368 -> test with 'LR' LR tn, fp: 252, 35 LR fn, tp: 3, 8 LR f1 score: 0.296 LR cohens kappa score: 0.252 LR average precision score: 0.336 -> test with 'RF' RF tn, fp: 286, 1 RF fn, tp: 9, 2 RF f1 score: 0.286 RF cohens kappa score: 0.274 -> test with 'GB' GB tn, fp: 284, 3 GB fn, tp: 9, 2 GB f1 score: 0.250 GB cohens kappa score: 0.232 -> test with 'KNN' KNN tn, fp: 264, 23 KNN fn, tp: 3, 8 KNN f1 score: 0.381 KNN cohens kappa score: 0.345 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 21s - loss: 0.1241 37/115 [========>.....................] - ETA: 0s - loss: 0.1690  74/115 [==================>...........] - ETA: 0s - loss: 0.1661 108/115 [===========================>..] - ETA: 0s - loss: 0.1764 115/115 [==============================] - 0s 1ms/step - loss: 0.1729 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1104 36/115 [========>.....................] - ETA: 0s - loss: 0.1467 70/115 [=================>............] - ETA: 0s - loss: 0.1749 106/115 [==========================>...] - ETA: 0s - loss: 0.1672 115/115 [==============================] - 0s 1ms/step - loss: 0.1701 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1537 40/115 [=========>....................] - ETA: 0s - loss: 0.2118 76/115 [==================>...........] - ETA: 0s - loss: 0.1821 110/115 [===========================>..] - ETA: 0s - loss: 0.1731 115/115 [==============================] - 0s 1ms/step - loss: 0.1745 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.3667 35/115 [========>.....................] - ETA: 0s - loss: 0.1729 68/115 [================>.............] - ETA: 0s - loss: 0.1678 101/115 [=========================>....] - ETA: 0s - loss: 0.1649 115/115 [==============================] - 0s 2ms/step - loss: 0.1674 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0645 39/115 [=========>....................] - ETA: 0s - loss: 0.1675 74/115 [==================>...........] - ETA: 0s - loss: 0.1688 110/115 [===========================>..] - ETA: 0s - loss: 0.1688 115/115 [==============================] - 0s 1ms/step - loss: 0.1674 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.0836 33/115 [=======>......................] - ETA: 0s - loss: 0.1496 69/115 [=================>............] - ETA: 0s - loss: 0.1553 98/115 [========================>.....] - ETA: 0s - loss: 0.1661 115/115 [==============================] - 0s 2ms/step - loss: 0.1647 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.0380 37/115 [========>.....................] - ETA: 0s - loss: 0.1743 69/115 [=================>............] - ETA: 0s - loss: 0.1658 103/115 [=========================>....] - ETA: 0s - loss: 0.1678 115/115 [==============================] - 0s 1ms/step - loss: 0.1666 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1901 33/115 [=======>......................] - ETA: 0s - loss: 0.1591 69/115 [=================>............] - ETA: 0s - loss: 0.1521 107/115 [==========================>...] - ETA: 0s - loss: 0.1622 115/115 [==============================] - 0s 1ms/step - loss: 0.1624 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0560 36/115 [========>.....................] - ETA: 0s - loss: 0.1660 72/115 [=================>............] - ETA: 0s - loss: 0.1635 111/115 [===========================>..] - ETA: 0s - loss: 0.1605 115/115 [==============================] - 0s 1ms/step - loss: 0.1589 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.2369 40/115 [=========>....................] - ETA: 0s - loss: 0.1598 76/115 [==================>...........] - ETA: 0s - loss: 0.1610 111/115 [===========================>..] - ETA: 0s - loss: 0.1615 115/115 [==============================] - 0s 1ms/step - loss: 0.1636 -> test with GAN.predict GAN tn, fp: 262, 25 GAN fn, tp: 4, 7 GAN f1 score: 0.326 GAN cohens kappa score: 0.286 -> test with 'LR' LR tn, fp: 250, 37 LR fn, tp: 3, 8 LR f1 score: 0.286 LR cohens kappa score: 0.241 LR average precision score: 0.453 -> test with 'RF' RF tn, fp: 282, 5 RF fn, tp: 6, 5 RF f1 score: 0.476 RF cohens kappa score: 0.457 -> test with 'GB' GB tn, fp: 278, 9 GB fn, tp: 7, 4 GB f1 score: 0.333 GB cohens kappa score: 0.306 -> test with 'KNN' KNN tn, fp: 253, 34 KNN fn, tp: 3, 8 KNN f1 score: 0.302 KNN cohens kappa score: 0.259 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 17s - loss: 0.2098 42/115 [=========>....................] - ETA: 0s - loss: 0.1703  80/115 [===================>..........] - ETA: 0s - loss: 0.1803 115/115 [==============================] - 0s 1ms/step - loss: 0.1853 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1948 42/115 [=========>....................] - ETA: 0s - loss: 0.1794 81/115 [====================>.........] - ETA: 0s - loss: 0.1761 115/115 [==============================] - 0s 1ms/step - loss: 0.1791 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.3270 40/115 [=========>....................] - ETA: 0s - loss: 0.1840 79/115 [===================>..........] - ETA: 0s - loss: 0.1882 115/115 [==============================] - 0s 1ms/step - loss: 0.1788 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.0890 39/115 [=========>....................] - ETA: 0s - loss: 0.1775 77/115 [===================>..........] - ETA: 0s - loss: 0.1741 115/115 [==============================] - 0s 1ms/step - loss: 0.1779 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0406 41/115 [=========>....................] - ETA: 0s - loss: 0.1350 81/115 [====================>.........] - ETA: 0s - loss: 0.1594 115/115 [==============================] - 0s 1ms/step - loss: 0.1723 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.3309 40/115 [=========>....................] - ETA: 0s - loss: 0.1562 79/115 [===================>..........] - ETA: 0s - loss: 0.1725 115/115 [==============================] - 0s 1ms/step - loss: 0.1719 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.0647 42/115 [=========>....................] - ETA: 0s - loss: 0.1551 80/115 [===================>..........] - ETA: 0s - loss: 0.1613 115/115 [==============================] - 0s 1ms/step - loss: 0.1715 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1300 42/115 [=========>....................] - ETA: 0s - loss: 0.1704 82/115 [====================>.........] - ETA: 0s - loss: 0.1689 115/115 [==============================] - 0s 1ms/step - loss: 0.1702 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0931 34/115 [=======>......................] - ETA: 0s - loss: 0.1894 70/115 [=================>............] - ETA: 0s - loss: 0.1773 106/115 [==========================>...] - ETA: 0s - loss: 0.1763 115/115 [==============================] - 0s 1ms/step - loss: 0.1749 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.0510 39/115 [=========>....................] - ETA: 0s - loss: 0.1673 78/115 [===================>..........] - ETA: 0s - loss: 0.1736 115/115 [==============================] - 0s 1ms/step - loss: 0.1770 -> test with GAN.predict GAN tn, fp: 262, 25 GAN fn, tp: 6, 5 GAN f1 score: 0.244 GAN cohens kappa score: 0.201 -> test with 'LR' LR tn, fp: 252, 35 LR fn, tp: 4, 7 LR f1 score: 0.264 LR cohens kappa score: 0.218 LR average precision score: 0.355 -> test with 'RF' RF tn, fp: 283, 4 RF fn, tp: 7, 4 RF f1 score: 0.421 RF cohens kappa score: 0.402 -> test with 'GB' GB tn, fp: 280, 7 GB fn, tp: 7, 4 GB f1 score: 0.364 GB cohens kappa score: 0.339 -> test with 'KNN' KNN tn, fp: 257, 30 KNN fn, tp: 3, 8 KNN f1 score: 0.327 KNN cohens kappa score: 0.286 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 47s - loss: 0.2700 38/115 [========>.....................] - ETA: 0s - loss: 0.1535  77/115 [===================>..........] - ETA: 0s - loss: 0.1577 115/115 [==============================] - 1s 1ms/step - loss: 0.1650 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1856 33/115 [=======>......................] - ETA: 0s - loss: 0.1424 72/115 [=================>............] - ETA: 0s - loss: 0.1554 112/115 [============================>.] - ETA: 0s - loss: 0.1583 115/115 [==============================] - 0s 1ms/step - loss: 0.1620 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.3295 42/115 [=========>....................] - ETA: 0s - loss: 0.1554 82/115 [====================>.........] - ETA: 0s - loss: 0.1683 115/115 [==============================] - 0s 1ms/step - loss: 0.1691 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1819 40/115 [=========>....................] - ETA: 0s - loss: 0.1890 80/115 [===================>..........] - ETA: 0s - loss: 0.1820 115/115 [==============================] - 0s 1ms/step - loss: 0.1706 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.1509 41/115 [=========>....................] - ETA: 0s - loss: 0.1492 79/115 [===================>..........] - ETA: 0s - loss: 0.1610 115/115 [==============================] - 0s 1ms/step - loss: 0.1584 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.1113 39/115 [=========>....................] - ETA: 0s - loss: 0.1592 81/115 [====================>.........] - ETA: 0s - loss: 0.1657 115/115 [==============================] - 0s 1ms/step - loss: 0.1631 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.2094 42/115 [=========>....................] - ETA: 0s - loss: 0.1760 82/115 [====================>.........] - ETA: 0s - loss: 0.1721 115/115 [==============================] - 0s 1ms/step - loss: 0.1603 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1029 41/115 [=========>....................] - ETA: 0s - loss: 0.1747 82/115 [====================>.........] - ETA: 0s - loss: 0.1616 115/115 [==============================] - 0s 1ms/step - loss: 0.1575 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.5751 41/115 [=========>....................] - ETA: 0s - loss: 0.1769 81/115 [====================>.........] - ETA: 0s - loss: 0.1640 115/115 [==============================] - 0s 1ms/step - loss: 0.1599 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.2062 40/115 [=========>....................] - ETA: 0s - loss: 0.1552 78/115 [===================>..........] - ETA: 0s - loss: 0.1567 115/115 [==============================] - 0s 1ms/step - loss: 0.1571 -> test with GAN.predict GAN tn, fp: 263, 24 GAN fn, tp: 4, 7 GAN f1 score: 0.333 GAN cohens kappa score: 0.295 -> test with 'LR' LR tn, fp: 255, 32 LR fn, tp: 3, 8 LR f1 score: 0.314 LR cohens kappa score: 0.272 LR average precision score: 0.310 -> test with 'RF' RF tn, fp: 284, 3 RF fn, tp: 7, 4 RF f1 score: 0.444 RF cohens kappa score: 0.428 -> test with 'GB' GB tn, fp: 279, 8 GB fn, tp: 5, 6 GB f1 score: 0.480 GB cohens kappa score: 0.458 -> test with 'KNN' KNN tn, fp: 267, 20 KNN fn, tp: 3, 8 KNN f1 score: 0.410 KNN cohens kappa score: 0.377 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1104 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 21s - loss: 0.3003 40/115 [=========>....................] - ETA: 0s - loss: 0.2256  80/115 [===================>..........] - ETA: 0s - loss: 0.2197 115/115 [==============================] - 0s 1ms/step - loss: 0.2126 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.3454 41/115 [=========>....................] - ETA: 0s - loss: 0.1922 82/115 [====================>.........] - ETA: 0s - loss: 0.1889 115/115 [==============================] - 0s 1ms/step - loss: 0.2013 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1420 41/115 [=========>....................] - ETA: 0s - loss: 0.1707 82/115 [====================>.........] - ETA: 0s - loss: 0.2010 115/115 [==============================] - 0s 1ms/step - loss: 0.1997 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1951 41/115 [=========>....................] - ETA: 0s - loss: 0.2251 82/115 [====================>.........] - ETA: 0s - loss: 0.2094 115/115 [==============================] - 0s 1ms/step - loss: 0.1992 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.2690 39/115 [=========>....................] - ETA: 0s - loss: 0.1996 79/115 [===================>..........] - ETA: 0s - loss: 0.1931 115/115 [==============================] - 0s 1ms/step - loss: 0.2000 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.0417 41/115 [=========>....................] - ETA: 0s - loss: 0.2021 81/115 [====================>.........] - ETA: 0s - loss: 0.1935 115/115 [==============================] - 0s 1ms/step - loss: 0.1974 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.2230 38/115 [========>.....................] - ETA: 0s - loss: 0.1715 78/115 [===================>..........] - ETA: 0s - loss: 0.1987 115/115 [==============================] - 0s 1ms/step - loss: 0.1985 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1704 41/115 [=========>....................] - ETA: 0s - loss: 0.2054 82/115 [====================>.........] - ETA: 0s - loss: 0.1896 115/115 [==============================] - 0s 1ms/step - loss: 0.1996 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0661 42/115 [=========>....................] - ETA: 0s - loss: 0.1782 82/115 [====================>.........] - ETA: 0s - loss: 0.2000 115/115 [==============================] - 0s 1ms/step - loss: 0.1955 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1630 40/115 [=========>....................] - ETA: 0s - loss: 0.1998 80/115 [===================>..........] - ETA: 0s - loss: 0.1899 115/115 [==============================] - 0s 1ms/step - loss: 0.1948 -> test with GAN.predict GAN tn, fp: 268, 17 GAN fn, tp: 2, 5 GAN f1 score: 0.345 GAN cohens kappa score: 0.320 -> test with 'LR' LR tn, fp: 248, 37 LR fn, tp: 1, 6 LR f1 score: 0.240 LR cohens kappa score: 0.207 LR average precision score: 0.411 -> test with 'RF' RF tn, fp: 281, 4 RF fn, tp: 5, 2 RF f1 score: 0.308 RF cohens kappa score: 0.292 -> test with 'GB' GB tn, fp: 279, 6 GB fn, tp: 6, 1 GB f1 score: 0.143 GB cohens kappa score: 0.122 -> test with 'KNN' KNN tn, fp: 265, 20 KNN fn, tp: 2, 5 KNN f1 score: 0.312 KNN cohens kappa score: 0.286 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 23s - loss: 0.1778 42/115 [=========>....................] - ETA: 0s - loss: 0.2121  82/115 [====================>.........] - ETA: 0s - loss: 0.1995 115/115 [==============================] - 0s 1ms/step - loss: 0.2036 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1246 41/115 [=========>....................] - ETA: 0s - loss: 0.1831 80/115 [===================>..........] - ETA: 0s - loss: 0.1978 115/115 [==============================] - 0s 1ms/step - loss: 0.2015 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.0778 38/115 [========>.....................] - ETA: 0s - loss: 0.2139 75/115 [==================>...........] - ETA: 0s - loss: 0.2148 115/115 [==============================] - ETA: 0s - loss: 0.2036 115/115 [==============================] - 0s 1ms/step - loss: 0.2036 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.0367 42/115 [=========>....................] - ETA: 0s - loss: 0.1887 83/115 [====================>.........] - ETA: 0s - loss: 0.1837 115/115 [==============================] - 0s 1ms/step - loss: 0.2025 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.2089 40/115 [=========>....................] - ETA: 0s - loss: 0.1929 80/115 [===================>..........] - ETA: 0s - loss: 0.1982 115/115 [==============================] - 0s 1ms/step - loss: 0.1993 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.2134 39/115 [=========>....................] - ETA: 0s - loss: 0.2011 79/115 [===================>..........] - ETA: 0s - loss: 0.1954 115/115 [==============================] - 0s 1ms/step - loss: 0.1995 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1244 42/115 [=========>....................] - ETA: 0s - loss: 0.1926 83/115 [====================>.........] - ETA: 0s - loss: 0.1948 115/115 [==============================] - 0s 1ms/step - loss: 0.2012 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.0358 42/115 [=========>....................] - ETA: 0s - loss: 0.1867 82/115 [====================>.........] - ETA: 0s - loss: 0.2010 115/115 [==============================] - 0s 1ms/step - loss: 0.2005 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.3690 41/115 [=========>....................] - ETA: 0s - loss: 0.2124 76/115 [==================>...........] - ETA: 0s - loss: 0.1928 115/115 [==============================] - 0s 1ms/step - loss: 0.1986 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.3767 40/115 [=========>....................] - ETA: 0s - loss: 0.1930 80/115 [===================>..........] - ETA: 0s - loss: 0.1858 115/115 [==============================] - 0s 1ms/step - loss: 0.1944 -> test with GAN.predict GAN tn, fp: 243, 44 GAN fn, tp: 2, 9 GAN f1 score: 0.281 GAN cohens kappa score: 0.234 -> test with 'LR' LR tn, fp: 250, 37 LR fn, tp: 2, 9 LR f1 score: 0.316 LR cohens kappa score: 0.272 LR average precision score: 0.417 -> test with 'RF' RF tn, fp: 283, 4 RF fn, tp: 7, 4 RF f1 score: 0.421 RF cohens kappa score: 0.402 -> test with 'GB' GB tn, fp: 280, 7 GB fn, tp: 9, 2 GB f1 score: 0.200 GB cohens kappa score: 0.173 -> test with 'KNN' KNN tn, fp: 267, 20 KNN fn, tp: 3, 8 KNN f1 score: 0.410 KNN cohens kappa score: 0.377 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 21s - loss: 0.2093 39/115 [=========>....................] - ETA: 0s - loss: 0.2060  73/115 [==================>...........] - ETA: 0s - loss: 0.2098 111/115 [===========================>..] - ETA: 0s - loss: 0.2023 115/115 [==============================] - 0s 1ms/step - loss: 0.2011 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2743 40/115 [=========>....................] - ETA: 0s - loss: 0.1833 78/115 [===================>..........] - ETA: 0s - loss: 0.1903 115/115 [==============================] - 0s 1ms/step - loss: 0.1979 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.2375 36/115 [========>.....................] - ETA: 0s - loss: 0.2011 76/115 [==================>...........] - ETA: 0s - loss: 0.1946 115/115 [==============================] - 0s 1ms/step - loss: 0.1975 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.2613 41/115 [=========>....................] - ETA: 0s - loss: 0.1888 80/115 [===================>..........] - ETA: 0s - loss: 0.1883 115/115 [==============================] - 0s 1ms/step - loss: 0.1955 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.1052 41/115 [=========>....................] - ETA: 0s - loss: 0.1840 82/115 [====================>.........] - ETA: 0s - loss: 0.1861 115/115 [==============================] - 0s 1ms/step - loss: 0.1965 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.5679 41/115 [=========>....................] - ETA: 0s - loss: 0.2049 78/115 [===================>..........] - ETA: 0s - loss: 0.1982 112/115 [============================>.] - ETA: 0s - loss: 0.1970 115/115 [==============================] - 0s 1ms/step - loss: 0.1975 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.0793 36/115 [========>.....................] - ETA: 0s - loss: 0.1973 76/115 [==================>...........] - ETA: 0s - loss: 0.1883 114/115 [============================>.] - ETA: 0s - loss: 0.1902 115/115 [==============================] - 0s 1ms/step - loss: 0.1901 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.2365 40/115 [=========>....................] - ETA: 0s - loss: 0.1936 80/115 [===================>..........] - ETA: 0s - loss: 0.2023 115/115 [==============================] - 0s 1ms/step - loss: 0.1956 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.2027 42/115 [=========>....................] - ETA: 0s - loss: 0.2072 83/115 [====================>.........] - ETA: 0s - loss: 0.1926 115/115 [==============================] - 0s 1ms/step - loss: 0.1902 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1261 41/115 [=========>....................] - ETA: 0s - loss: 0.1830 76/115 [==================>...........] - ETA: 0s - loss: 0.1751 115/115 [==============================] - ETA: 0s - loss: 0.1904 115/115 [==============================] - 0s 1ms/step - loss: 0.1904 -> test with GAN.predict GAN tn, fp: 262, 25 GAN fn, tp: 4, 7 GAN f1 score: 0.326 GAN cohens kappa score: 0.286 -> test with 'LR' LR tn, fp: 251, 36 LR fn, tp: 2, 9 LR f1 score: 0.321 LR cohens kappa score: 0.279 LR average precision score: 0.394 -> test with 'RF' RF tn, fp: 284, 3 RF fn, tp: 8, 3 RF f1 score: 0.353 RF cohens kappa score: 0.336 -> test with 'GB' GB tn, fp: 282, 5 GB fn, tp: 6, 5 GB f1 score: 0.476 GB cohens kappa score: 0.457 -> test with 'KNN' KNN tn, fp: 260, 27 KNN fn, tp: 1, 10 KNN f1 score: 0.417 KNN cohens kappa score: 0.381 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 20s - loss: 0.2439 40/115 [=========>....................] - ETA: 0s - loss: 0.1874  81/115 [====================>.........] - ETA: 0s - loss: 0.1680 115/115 [==============================] - 0s 1ms/step - loss: 0.1710 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1797 37/115 [========>.....................] - ETA: 0s - loss: 0.1769 77/115 [===================>..........] - ETA: 0s - loss: 0.1731 115/115 [==============================] - 0s 1ms/step - loss: 0.1748 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.0414 41/115 [=========>....................] - ETA: 0s - loss: 0.1901 79/115 [===================>..........] - ETA: 0s - loss: 0.1801 115/115 [==============================] - 0s 1ms/step - loss: 0.1708 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.0624 42/115 [=========>....................] - ETA: 0s - loss: 0.1793 82/115 [====================>.........] - ETA: 0s - loss: 0.1756 115/115 [==============================] - 0s 1ms/step - loss: 0.1713 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.2433 40/115 [=========>....................] - ETA: 0s - loss: 0.1828 79/115 [===================>..........] - ETA: 0s - loss: 0.1747 115/115 [==============================] - 0s 1ms/step - loss: 0.1685 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.3541 41/115 [=========>....................] - ETA: 0s - loss: 0.1751 83/115 [====================>.........] - ETA: 0s - loss: 0.1746 115/115 [==============================] - 0s 1ms/step - loss: 0.1733 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1641 38/115 [========>.....................] - ETA: 0s - loss: 0.1651 78/115 [===================>..........] - ETA: 0s - loss: 0.1574 115/115 [==============================] - 0s 1ms/step - loss: 0.1668 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.3345 40/115 [=========>....................] - ETA: 0s - loss: 0.1875 80/115 [===================>..........] - ETA: 0s - loss: 0.1746 115/115 [==============================] - 0s 1ms/step - loss: 0.1681 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0982 42/115 [=========>....................] - ETA: 0s - loss: 0.1352 81/115 [====================>.........] - ETA: 0s - loss: 0.1544 115/115 [==============================] - 0s 1ms/step - loss: 0.1639 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.2649 41/115 [=========>....................] - ETA: 0s - loss: 0.1646 81/115 [====================>.........] - ETA: 0s - loss: 0.1753 115/115 [==============================] - 0s 1ms/step - loss: 0.1660 -> test with GAN.predict GAN tn, fp: 261, 26 GAN fn, tp: 4, 7 GAN f1 score: 0.318 GAN cohens kappa score: 0.278 -> test with 'LR' LR tn, fp: 251, 36 LR fn, tp: 4, 7 LR f1 score: 0.259 LR cohens kappa score: 0.213 LR average precision score: 0.227 -> test with 'RF' RF tn, fp: 281, 6 RF fn, tp: 8, 3 RF f1 score: 0.300 RF cohens kappa score: 0.276 -> test with 'GB' GB tn, fp: 279, 8 GB fn, tp: 8, 3 GB f1 score: 0.273 GB cohens kappa score: 0.245 -> test with 'KNN' KNN tn, fp: 260, 27 KNN fn, tp: 3, 8 KNN f1 score: 0.348 KNN cohens kappa score: 0.309 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 22s - loss: 0.2321 37/115 [========>.....................] - ETA: 0s - loss: 0.1726  74/115 [==================>...........] - ETA: 0s - loss: 0.1559 112/115 [============================>.] - ETA: 0s - loss: 0.1618 115/115 [==============================] - 0s 1ms/step - loss: 0.1625 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1922 34/115 [=======>......................] - ETA: 0s - loss: 0.1726 69/115 [=================>............] - ETA: 0s - loss: 0.1663 102/115 [=========================>....] - ETA: 0s - loss: 0.1580 115/115 [==============================] - 0s 1ms/step - loss: 0.1656 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1303 35/115 [========>.....................] - ETA: 0s - loss: 0.1518 70/115 [=================>............] - ETA: 0s - loss: 0.1654 106/115 [==========================>...] - ETA: 0s - loss: 0.1626 115/115 [==============================] - 0s 1ms/step - loss: 0.1645 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.2516 35/115 [========>.....................] - ETA: 0s - loss: 0.1543 68/115 [================>.............] - ETA: 0s - loss: 0.1678 100/115 [=========================>....] - ETA: 0s - loss: 0.1602 115/115 [==============================] - 0s 2ms/step - loss: 0.1608 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.2231 36/115 [========>.....................] - ETA: 0s - loss: 0.1350 72/115 [=================>............] - ETA: 0s - loss: 0.1592 107/115 [==========================>...] - ETA: 0s - loss: 0.1551 115/115 [==============================] - 0s 1ms/step - loss: 0.1586 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.4055 40/115 [=========>....................] - ETA: 0s - loss: 0.1558 75/115 [==================>...........] - ETA: 0s - loss: 0.1634 111/115 [===========================>..] - ETA: 0s - loss: 0.1610 115/115 [==============================] - 0s 1ms/step - loss: 0.1608 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1155 38/115 [========>.....................] - ETA: 0s - loss: 0.1721 68/115 [================>.............] - ETA: 0s - loss: 0.1736 101/115 [=========================>....] - ETA: 0s - loss: 0.1596 115/115 [==============================] - 0s 2ms/step - loss: 0.1572 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1256 35/115 [========>.....................] - ETA: 0s - loss: 0.1591 70/115 [=================>............] - ETA: 0s - loss: 0.1665 106/115 [==========================>...] - ETA: 0s - loss: 0.1620 115/115 [==============================] - 0s 1ms/step - loss: 0.1590 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.1149 32/115 [=======>......................] - ETA: 0s - loss: 0.1634 64/115 [===============>..............] - ETA: 0s - loss: 0.1729 99/115 [========================>.....] - ETA: 0s - loss: 0.1740 115/115 [==============================] - 0s 2ms/step - loss: 0.1590 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.2100 34/115 [=======>......................] - ETA: 0s - loss: 0.1581 68/115 [================>.............] - ETA: 0s - loss: 0.1510 104/115 [==========================>...] - ETA: 0s - loss: 0.1588 115/115 [==============================] - 0s 1ms/step - loss: 0.1559 -> test with GAN.predict GAN tn, fp: 269, 18 GAN fn, tp: 4, 7 GAN f1 score: 0.389 GAN cohens kappa score: 0.356 -> test with 'LR' LR tn, fp: 254, 33 LR fn, tp: 3, 8 LR f1 score: 0.308 LR cohens kappa score: 0.265 LR average precision score: 0.444 -> test with 'RF' RF tn, fp: 280, 7 RF fn, tp: 7, 4 RF f1 score: 0.364 RF cohens kappa score: 0.339 -> test with 'GB' GB tn, fp: 277, 10 GB fn, tp: 5, 6 GB f1 score: 0.444 GB cohens kappa score: 0.419 -> test with 'KNN' KNN tn, fp: 269, 18 KNN fn, tp: 4, 7 KNN f1 score: 0.389 KNN cohens kappa score: 0.356 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1104 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 20s - loss: 0.2777 38/115 [========>.....................] - ETA: 0s - loss: 0.1871  73/115 [==================>...........] - ETA: 0s - loss: 0.1893 106/115 [==========================>...] - ETA: 0s - loss: 0.1831 115/115 [==============================] - 0s 1ms/step - loss: 0.1849 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2044 39/115 [=========>....................] - ETA: 0s - loss: 0.1901 76/115 [==================>...........] - ETA: 0s - loss: 0.1860 115/115 [==============================] - ETA: 0s - loss: 0.1809 115/115 [==============================] - 0s 1ms/step - loss: 0.1809 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.0613 40/115 [=========>....................] - ETA: 0s - loss: 0.1773 79/115 [===================>..........] - ETA: 0s - loss: 0.1802 115/115 [==============================] - 0s 1ms/step - loss: 0.1729 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1221 40/115 [=========>....................] - ETA: 0s - loss: 0.1602 81/115 [====================>.........] - ETA: 0s - loss: 0.1670 115/115 [==============================] - 0s 1ms/step - loss: 0.1722 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0648 42/115 [=========>....................] - ETA: 0s - loss: 0.1627 83/115 [====================>.........] - ETA: 0s - loss: 0.1571 115/115 [==============================] - 0s 1ms/step - loss: 0.1750 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.2864 41/115 [=========>....................] - ETA: 0s - loss: 0.1719 81/115 [====================>.........] - ETA: 0s - loss: 0.1637 115/115 [==============================] - 0s 1ms/step - loss: 0.1716 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1152 42/115 [=========>....................] - ETA: 0s - loss: 0.2003 82/115 [====================>.........] - ETA: 0s - loss: 0.1722 115/115 [==============================] - 0s 1ms/step - loss: 0.1717 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.0696 41/115 [=========>....................] - ETA: 0s - loss: 0.1746 81/115 [====================>.........] - ETA: 0s - loss: 0.1695 115/115 [==============================] - 0s 1ms/step - loss: 0.1709 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.1466 41/115 [=========>....................] - ETA: 0s - loss: 0.2006 82/115 [====================>.........] - ETA: 0s - loss: 0.1714 115/115 [==============================] - 0s 1ms/step - loss: 0.1729 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.0536 34/115 [=======>......................] - ETA: 0s - loss: 0.1821 62/115 [===============>..............] - ETA: 0s - loss: 0.1847 92/115 [=======================>......] - ETA: 0s - loss: 0.1794 115/115 [==============================] - 0s 2ms/step - loss: 0.1719 -> test with GAN.predict GAN tn, fp: 263, 22 GAN fn, tp: 5, 2 GAN f1 score: 0.129 GAN cohens kappa score: 0.095 -> test with 'LR' LR tn, fp: 251, 34 LR fn, tp: 2, 5 LR f1 score: 0.217 LR cohens kappa score: 0.184 LR average precision score: 0.427 -> test with 'RF' RF tn, fp: 281, 4 RF fn, tp: 5, 2 RF f1 score: 0.308 RF cohens kappa score: 0.292 -> test with 'GB' GB tn, fp: 279, 6 GB fn, tp: 4, 3 GB f1 score: 0.375 GB cohens kappa score: 0.358 -> test with 'KNN' KNN tn, fp: 259, 26 KNN fn, tp: 2, 5 KNN f1 score: 0.263 KNN cohens kappa score: 0.233 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 19s - loss: 0.1528 39/115 [=========>....................] - ETA: 0s - loss: 0.1515  79/115 [===================>..........] - ETA: 0s - loss: 0.1534 115/115 [==============================] - 0s 1ms/step - loss: 0.1601 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2879 41/115 [=========>....................] - ETA: 0s - loss: 0.1501 81/115 [====================>.........] - ETA: 0s - loss: 0.1586 115/115 [==============================] - 0s 1ms/step - loss: 0.1587 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1684 42/115 [=========>....................] - ETA: 0s - loss: 0.1376 80/115 [===================>..........] - ETA: 0s - loss: 0.1503 115/115 [==============================] - 0s 1ms/step - loss: 0.1548 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1316 40/115 [=========>....................] - ETA: 0s - loss: 0.1659 80/115 [===================>..........] - ETA: 0s - loss: 0.1544 115/115 [==============================] - 0s 1ms/step - loss: 0.1568 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.2023 40/115 [=========>....................] - ETA: 0s - loss: 0.1509 80/115 [===================>..........] - ETA: 0s - loss: 0.1616 115/115 [==============================] - 0s 1ms/step - loss: 0.1590 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.0983 39/115 [=========>....................] - ETA: 0s - loss: 0.1430 79/115 [===================>..........] - ETA: 0s - loss: 0.1594 115/115 [==============================] - 0s 1ms/step - loss: 0.1514 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1212 37/115 [========>.....................] - ETA: 0s - loss: 0.1625 70/115 [=================>............] - ETA: 0s - loss: 0.1450 102/115 [=========================>....] - ETA: 0s - loss: 0.1549 115/115 [==============================] - 0s 1ms/step - loss: 0.1530 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1013 40/115 [=========>....................] - ETA: 0s - loss: 0.1456 79/115 [===================>..........] - ETA: 0s - loss: 0.1521 115/115 [==============================] - 0s 1ms/step - loss: 0.1512 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0759 40/115 [=========>....................] - ETA: 0s - loss: 0.1302 81/115 [====================>.........] - ETA: 0s - loss: 0.1447 115/115 [==============================] - 0s 1ms/step - loss: 0.1549 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1134 41/115 [=========>....................] - ETA: 0s - loss: 0.1649 81/115 [====================>.........] - ETA: 0s - loss: 0.1551 115/115 [==============================] - 0s 1ms/step - loss: 0.1537 -> test with GAN.predict GAN tn, fp: 274, 13 GAN fn, tp: 5, 6 GAN f1 score: 0.400 GAN cohens kappa score: 0.371 -> test with 'LR' LR tn, fp: 262, 25 LR fn, tp: 5, 6 LR f1 score: 0.286 LR cohens kappa score: 0.245 LR average precision score: 0.449 -> test with 'RF' RF tn, fp: 286, 1 RF fn, tp: 8, 3 RF f1 score: 0.400 RF cohens kappa score: 0.388 -> test with 'GB' GB tn, fp: 282, 5 GB fn, tp: 6, 5 GB f1 score: 0.476 GB cohens kappa score: 0.457 -> test with 'KNN' KNN tn, fp: 274, 13 KNN fn, tp: 6, 5 KNN f1 score: 0.345 KNN cohens kappa score: 0.313 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 18s - loss: 0.2011 42/115 [=========>....................] - ETA: 0s - loss: 0.2123  84/115 [====================>.........] - ETA: 0s - loss: 0.2070 115/115 [==============================] - 0s 1ms/step - loss: 0.1951 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.0886 42/115 [=========>....................] - ETA: 0s - loss: 0.1897 84/115 [====================>.........] - ETA: 0s - loss: 0.1870 115/115 [==============================] - 0s 1ms/step - loss: 0.1957 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1696 42/115 [=========>....................] - ETA: 0s - loss: 0.2151 82/115 [====================>.........] - ETA: 0s - loss: 0.1970 115/115 [==============================] - 0s 1ms/step - loss: 0.1972 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.5208 42/115 [=========>....................] - ETA: 0s - loss: 0.2355 83/115 [====================>.........] - ETA: 0s - loss: 0.1980 115/115 [==============================] - 0s 1ms/step - loss: 0.1906 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0221 41/115 [=========>....................] - ETA: 0s - loss: 0.1580 80/115 [===================>..........] - ETA: 0s - loss: 0.1761 115/115 [==============================] - 0s 1ms/step - loss: 0.1904 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.1375 42/115 [=========>....................] - ETA: 0s - loss: 0.1879 82/115 [====================>.........] - ETA: 0s - loss: 0.1861 115/115 [==============================] - 0s 1ms/step - loss: 0.1923 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1185 40/115 [=========>....................] - ETA: 0s - loss: 0.2072 79/115 [===================>..........] - ETA: 0s - loss: 0.1932 115/115 [==============================] - 0s 1ms/step - loss: 0.1918 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.2248 34/115 [=======>......................] - ETA: 0s - loss: 0.1854 69/115 [=================>............] - ETA: 0s - loss: 0.1891 103/115 [=========================>....] - ETA: 0s - loss: 0.1928 115/115 [==============================] - 0s 1ms/step - loss: 0.1891 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.2268 41/115 [=========>....................] - ETA: 0s - loss: 0.1940 80/115 [===================>..........] - ETA: 0s - loss: 0.1941 115/115 [==============================] - 0s 1ms/step - loss: 0.1896 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1440 40/115 [=========>....................] - ETA: 0s - loss: 0.1593 80/115 [===================>..........] - ETA: 0s - loss: 0.1899 115/115 [==============================] - 0s 1ms/step - loss: 0.1849 -> test with GAN.predict GAN tn, fp: 248, 39 GAN fn, tp: 5, 6 GAN f1 score: 0.214 GAN cohens kappa score: 0.165 -> test with 'LR' LR tn, fp: 252, 35 LR fn, tp: 2, 9 LR f1 score: 0.327 LR cohens kappa score: 0.285 LR average precision score: 0.377 -> test with 'RF' RF tn, fp: 285, 2 RF fn, tp: 7, 4 RF f1 score: 0.471 RF cohens kappa score: 0.456 -> test with 'GB' GB tn, fp: 281, 6 GB fn, tp: 8, 3 GB f1 score: 0.300 GB cohens kappa score: 0.276 -> test with 'KNN' KNN tn, fp: 260, 27 KNN fn, tp: 4, 7 KNN f1 score: 0.311 KNN cohens kappa score: 0.270 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 20s - loss: 0.1318 40/115 [=========>....................] - ETA: 0s - loss: 0.1719  79/115 [===================>..........] - ETA: 0s - loss: 0.1776 115/115 [==============================] - 0s 1ms/step - loss: 0.1828 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1919 42/115 [=========>....................] - ETA: 0s - loss: 0.1784 80/115 [===================>..........] - ETA: 0s - loss: 0.1795 115/115 [==============================] - 0s 1ms/step - loss: 0.1839 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1370 41/115 [=========>....................] - ETA: 0s - loss: 0.1663 81/115 [====================>.........] - ETA: 0s - loss: 0.1720 115/115 [==============================] - 0s 1ms/step - loss: 0.1798 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.2946 39/115 [=========>....................] - ETA: 0s - loss: 0.1792 80/115 [===================>..........] - ETA: 0s - loss: 0.1730 115/115 [==============================] - 0s 1ms/step - loss: 0.1806 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0510 43/115 [==========>...................] - ETA: 0s - loss: 0.1428 83/115 [====================>.........] - ETA: 0s - loss: 0.1607 115/115 [==============================] - 0s 1ms/step - loss: 0.1778 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.4117 37/115 [========>.....................] - ETA: 0s - loss: 0.1550 72/115 [=================>............] - ETA: 0s - loss: 0.1794 111/115 [===========================>..] - ETA: 0s - loss: 0.1748 115/115 [==============================] - 0s 1ms/step - loss: 0.1742 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.2667 42/115 [=========>....................] - ETA: 0s - loss: 0.1654 82/115 [====================>.........] - ETA: 0s - loss: 0.1652 115/115 [==============================] - 0s 1ms/step - loss: 0.1724 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.3016 40/115 [=========>....................] - ETA: 0s - loss: 0.1691 80/115 [===================>..........] - ETA: 0s - loss: 0.1789 115/115 [==============================] - 0s 1ms/step - loss: 0.1756 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0390 35/115 [========>.....................] - ETA: 0s - loss: 0.1893 68/115 [================>.............] - ETA: 0s - loss: 0.1778 105/115 [==========================>...] - ETA: 0s - loss: 0.1728 115/115 [==============================] - 0s 1ms/step - loss: 0.1713 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.0529 42/115 [=========>....................] - ETA: 0s - loss: 0.1799 82/115 [====================>.........] - ETA: 0s - loss: 0.1804 115/115 [==============================] - 0s 1ms/step - loss: 0.1705 -> test with GAN.predict GAN tn, fp: 268, 19 GAN fn, tp: 5, 6 GAN f1 score: 0.333 GAN cohens kappa score: 0.297 -> test with 'LR' LR tn, fp: 246, 41 LR fn, tp: 2, 9 LR f1 score: 0.295 LR cohens kappa score: 0.250 LR average precision score: 0.245 -> test with 'RF' RF tn, fp: 283, 4 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.020 -> test with 'GB' GB tn, fp: 283, 4 GB fn, tp: 8, 3 GB f1 score: 0.333 GB cohens kappa score: 0.314 -> test with 'KNN' KNN tn, fp: 260, 27 KNN fn, tp: 2, 9 KNN f1 score: 0.383 KNN cohens kappa score: 0.346 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 17s - loss: 0.1409 42/115 [=========>....................] - ETA: 0s - loss: 0.1675  80/115 [===================>..........] - ETA: 0s - loss: 0.1678 115/115 [==============================] - 0s 1ms/step - loss: 0.1665 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.0255 42/115 [=========>....................] - ETA: 0s - loss: 0.1627 82/115 [====================>.........] - ETA: 0s - loss: 0.1659 115/115 [==============================] - 0s 1ms/step - loss: 0.1625 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1608 41/115 [=========>....................] - ETA: 0s - loss: 0.1601 82/115 [====================>.........] - ETA: 0s - loss: 0.1597 115/115 [==============================] - 0s 1ms/step - loss: 0.1610 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.0714 41/115 [=========>....................] - ETA: 0s - loss: 0.1609 83/115 [====================>.........] - ETA: 0s - loss: 0.1562 115/115 [==============================] - 0s 1ms/step - loss: 0.1601 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.1351 41/115 [=========>....................] - ETA: 0s - loss: 0.1252 82/115 [====================>.........] - ETA: 0s - loss: 0.1494 115/115 [==============================] - 0s 1ms/step - loss: 0.1589 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.2603 42/115 [=========>....................] - ETA: 0s - loss: 0.1416 82/115 [====================>.........] - ETA: 0s - loss: 0.1566 115/115 [==============================] - 0s 1ms/step - loss: 0.1602 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.2105 41/115 [=========>....................] - ETA: 0s - loss: 0.1738 82/115 [====================>.........] - ETA: 0s - loss: 0.1599 115/115 [==============================] - 0s 1ms/step - loss: 0.1603 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1206 39/115 [=========>....................] - ETA: 0s - loss: 0.1349 78/115 [===================>..........] - ETA: 0s - loss: 0.1495 115/115 [==============================] - 0s 1ms/step - loss: 0.1560 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.1735 38/115 [========>.....................] - ETA: 0s - loss: 0.1637 79/115 [===================>..........] - ETA: 0s - loss: 0.1629 115/115 [==============================] - 0s 1ms/step - loss: 0.1563 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1338 42/115 [=========>....................] - ETA: 0s - loss: 0.1463 83/115 [====================>.........] - ETA: 0s - loss: 0.1517 115/115 [==============================] - 0s 1ms/step - loss: 0.1544 -> test with GAN.predict GAN tn, fp: 264, 23 GAN fn, tp: 4, 7 GAN f1 score: 0.341 GAN cohens kappa score: 0.304 -> test with 'LR' LR tn, fp: 247, 40 LR fn, tp: 3, 8 LR f1 score: 0.271 LR cohens kappa score: 0.225 LR average precision score: 0.293 -> test with 'RF' RF tn, fp: 280, 7 RF fn, tp: 6, 5 RF f1 score: 0.435 RF cohens kappa score: 0.412 -> test with 'GB' GB tn, fp: 274, 13 GB fn, tp: 6, 5 GB f1 score: 0.345 GB cohens kappa score: 0.313 -> test with 'KNN' KNN tn, fp: 261, 26 KNN fn, tp: 3, 8 KNN f1 score: 0.356 KNN cohens kappa score: 0.317 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1104 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 20s - loss: 0.2141 42/115 [=========>....................] - ETA: 0s - loss: 0.2116  82/115 [====================>.........] - ETA: 0s - loss: 0.2034 115/115 [==============================] - 0s 1ms/step - loss: 0.2087 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.6608 39/115 [=========>....................] - ETA: 0s - loss: 0.2280 79/115 [===================>..........] - ETA: 0s - loss: 0.2155 115/115 [==============================] - 0s 1ms/step - loss: 0.2097 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.0412 42/115 [=========>....................] - ETA: 0s - loss: 0.2119 82/115 [====================>.........] - ETA: 0s - loss: 0.2081 115/115 [==============================] - 0s 1ms/step - loss: 0.2018 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1700 42/115 [=========>....................] - ETA: 0s - loss: 0.1927 82/115 [====================>.........] - ETA: 0s - loss: 0.2033 115/115 [==============================] - 0s 1ms/step - loss: 0.1990 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0497 41/115 [=========>....................] - ETA: 0s - loss: 0.2064 81/115 [====================>.........] - ETA: 0s - loss: 0.1879 115/115 [==============================] - 0s 1ms/step - loss: 0.2029 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.2349 41/115 [=========>....................] - ETA: 0s - loss: 0.2178 80/115 [===================>..........] - ETA: 0s - loss: 0.2104 114/115 [============================>.] - ETA: 0s - loss: 0.2002 115/115 [==============================] - 0s 1ms/step - loss: 0.1994 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1337 38/115 [========>.....................] - ETA: 0s - loss: 0.1858 78/115 [===================>..........] - ETA: 0s - loss: 0.1874 115/115 [==============================] - 0s 1ms/step - loss: 0.1990 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.1225 33/115 [=======>......................] - ETA: 0s - loss: 0.2083 68/115 [================>.............] - ETA: 0s - loss: 0.2005 103/115 [=========================>....] - ETA: 0s - loss: 0.1902 115/115 [==============================] - 0s 1ms/step - loss: 0.1964 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0938 39/115 [=========>....................] - ETA: 0s - loss: 0.2024 78/115 [===================>..........] - ETA: 0s - loss: 0.1999 115/115 [==============================] - 0s 1ms/step - loss: 0.1965 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.2296 41/115 [=========>....................] - ETA: 0s - loss: 0.1879 81/115 [====================>.........] - ETA: 0s - loss: 0.2022 115/115 [==============================] - 0s 1ms/step - loss: 0.1952 -> test with GAN.predict GAN tn, fp: 257, 28 GAN fn, tp: 2, 5 GAN f1 score: 0.250 GAN cohens kappa score: 0.219 -> test with 'LR' LR tn, fp: 249, 36 LR fn, tp: 2, 5 LR f1 score: 0.208 LR cohens kappa score: 0.175 LR average precision score: 0.436 -> test with 'RF' RF tn, fp: 280, 5 RF fn, tp: 3, 4 RF f1 score: 0.500 RF cohens kappa score: 0.486 -> test with 'GB' GB tn, fp: 279, 6 GB fn, tp: 4, 3 GB f1 score: 0.375 GB cohens kappa score: 0.358 -> test with 'KNN' KNN tn, fp: 260, 25 KNN fn, tp: 2, 5 KNN f1 score: 0.270 KNN cohens kappa score: 0.241 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 18s - loss: 0.2423 42/115 [=========>....................] - ETA: 0s - loss: 0.1934  84/115 [====================>.........] - ETA: 0s - loss: 0.1983 115/115 [==============================] - 0s 1ms/step - loss: 0.1986 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2247 22/115 [====>.........................] - ETA: 1s - loss: 0.2018 48/115 [===========>..................] - ETA: 0s - loss: 0.2032 89/115 [======================>.......] - ETA: 0s - loss: 0.1967 115/115 [==============================] - 0s 3ms/step - loss: 0.1957 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.2477 41/115 [=========>....................] - ETA: 0s - loss: 0.1890 81/115 [====================>.........] - ETA: 0s - loss: 0.2012 115/115 [==============================] - 0s 1ms/step - loss: 0.1960 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.2355 41/115 [=========>....................] - ETA: 0s - loss: 0.1844 82/115 [====================>.........] - ETA: 0s - loss: 0.1912 115/115 [==============================] - 0s 1ms/step - loss: 0.1908 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.3253 41/115 [=========>....................] - ETA: 0s - loss: 0.1830 81/115 [====================>.........] - ETA: 0s - loss: 0.2012 115/115 [==============================] - 0s 1ms/step - loss: 0.1943 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.4051 40/115 [=========>....................] - ETA: 0s - loss: 0.1780 79/115 [===================>..........] - ETA: 0s - loss: 0.1900 115/115 [==============================] - 0s 1ms/step - loss: 0.1886 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.0891 41/115 [=========>....................] - ETA: 0s - loss: 0.1935 81/115 [====================>.........] - ETA: 0s - loss: 0.1870 115/115 [==============================] - 0s 1ms/step - loss: 0.1904 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.0790 37/115 [========>.....................] - ETA: 0s - loss: 0.1608 75/115 [==================>...........] - ETA: 0s - loss: 0.1809 114/115 [============================>.] - ETA: 0s - loss: 0.1892 115/115 [==============================] - 0s 1ms/step - loss: 0.1891 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0940 39/115 [=========>....................] - ETA: 0s - loss: 0.1937 76/115 [==================>...........] - ETA: 0s - loss: 0.1886 115/115 [==============================] - 0s 1ms/step - loss: 0.1870 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.4806 41/115 [=========>....................] - ETA: 0s - loss: 0.1734 82/115 [====================>.........] - ETA: 0s - loss: 0.1815 115/115 [==============================] - 0s 1ms/step - loss: 0.1850 -> test with GAN.predict GAN tn, fp: 261, 26 GAN fn, tp: 4, 7 GAN f1 score: 0.318 GAN cohens kappa score: 0.278 -> test with 'LR' LR tn, fp: 254, 33 LR fn, tp: 5, 6 LR f1 score: 0.240 LR cohens kappa score: 0.194 LR average precision score: 0.244 -> test with 'RF' RF tn, fp: 285, 2 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.011 -> test with 'GB' GB tn, fp: 280, 7 GB fn, tp: 9, 2 GB f1 score: 0.200 GB cohens kappa score: 0.173 -> test with 'KNN' KNN tn, fp: 267, 20 KNN fn, tp: 3, 8 KNN f1 score: 0.410 KNN cohens kappa score: 0.377 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 22s - loss: 0.2529 42/115 [=========>....................] - ETA: 0s - loss: 0.2023  83/115 [====================>.........] - ETA: 0s - loss: 0.1823 115/115 [==============================] - 0s 1ms/step - loss: 0.1721 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2589 40/115 [=========>....................] - ETA: 0s - loss: 0.1567 80/115 [===================>..........] - ETA: 0s - loss: 0.1696 115/115 [==============================] - 0s 1ms/step - loss: 0.1778 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.1110 41/115 [=========>....................] - ETA: 0s - loss: 0.1382 79/115 [===================>..........] - ETA: 0s - loss: 0.1540 115/115 [==============================] - ETA: 0s - loss: 0.1711 115/115 [==============================] - 0s 1ms/step - loss: 0.1711 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1591 40/115 [=========>....................] - ETA: 0s - loss: 0.1812 78/115 [===================>..........] - ETA: 0s - loss: 0.1775 115/115 [==============================] - 0s 1ms/step - loss: 0.1734 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0661 41/115 [=========>....................] - ETA: 0s - loss: 0.1757 81/115 [====================>.........] - ETA: 0s - loss: 0.1664 115/115 [==============================] - 0s 1ms/step - loss: 0.1666 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.0660 40/115 [=========>....................] - ETA: 0s - loss: 0.1817 80/115 [===================>..........] - ETA: 0s - loss: 0.1749 115/115 [==============================] - 0s 1ms/step - loss: 0.1686 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.2413 40/115 [=========>....................] - ETA: 0s - loss: 0.1442 80/115 [===================>..........] - ETA: 0s - loss: 0.1515 115/115 [==============================] - 0s 1ms/step - loss: 0.1666 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.3588 41/115 [=========>....................] - ETA: 0s - loss: 0.1655 80/115 [===================>..........] - ETA: 0s - loss: 0.1687 115/115 [==============================] - 0s 1ms/step - loss: 0.1660 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.1238 41/115 [=========>....................] - ETA: 0s - loss: 0.1855 79/115 [===================>..........] - ETA: 0s - loss: 0.1750 112/115 [============================>.] - ETA: 0s - loss: 0.1651 115/115 [==============================] - 0s 1ms/step - loss: 0.1643 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.0557 37/115 [========>.....................] - ETA: 0s - loss: 0.1419 73/115 [==================>...........] - ETA: 0s - loss: 0.1627 112/115 [============================>.] - ETA: 0s - loss: 0.1683 115/115 [==============================] - 0s 1ms/step - loss: 0.1685 -> test with GAN.predict GAN tn, fp: 256, 31 GAN fn, tp: 3, 8 GAN f1 score: 0.320 GAN cohens kappa score: 0.278 -> test with 'LR' LR tn, fp: 241, 46 LR fn, tp: 2, 9 LR f1 score: 0.273 LR cohens kappa score: 0.225 LR average precision score: 0.513 -> test with 'RF' RF tn, fp: 281, 6 RF fn, tp: 8, 3 RF f1 score: 0.300 RF cohens kappa score: 0.276 -> test with 'GB' GB tn, fp: 280, 7 GB fn, tp: 5, 6 GB f1 score: 0.500 GB cohens kappa score: 0.479 -> test with 'KNN' KNN tn, fp: 260, 27 KNN fn, tp: 1, 10 KNN f1 score: 0.417 KNN cohens kappa score: 0.381 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 19s - loss: 0.2144 34/115 [=======>......................] - ETA: 0s - loss: 0.1983  73/115 [==================>...........] - ETA: 0s - loss: 0.1962 111/115 [===========================>..] - ETA: 0s - loss: 0.2025 115/115 [==============================] - 0s 1ms/step - loss: 0.2004 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2432 39/115 [=========>....................] - ETA: 0s - loss: 0.2219 78/115 [===================>..........] - ETA: 0s - loss: 0.2072 115/115 [==============================] - 0s 1ms/step - loss: 0.2022 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.3899 40/115 [=========>....................] - ETA: 0s - loss: 0.1930 80/115 [===================>..........] - ETA: 0s - loss: 0.1909 115/115 [==============================] - 0s 1ms/step - loss: 0.1936 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.1229 41/115 [=========>....................] - ETA: 0s - loss: 0.2142 80/115 [===================>..........] - ETA: 0s - loss: 0.1939 115/115 [==============================] - 0s 1ms/step - loss: 0.1946 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0993 42/115 [=========>....................] - ETA: 0s - loss: 0.1674 79/115 [===================>..........] - ETA: 0s - loss: 0.1880 115/115 [==============================] - 0s 1ms/step - loss: 0.1942 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.2643 40/115 [=========>....................] - ETA: 0s - loss: 0.2028 80/115 [===================>..........] - ETA: 0s - loss: 0.1929 115/115 [==============================] - 0s 1ms/step - loss: 0.1928 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1168 42/115 [=========>....................] - ETA: 0s - loss: 0.1815 82/115 [====================>.........] - ETA: 0s - loss: 0.1812 115/115 [==============================] - 0s 1ms/step - loss: 0.1920 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.0890 37/115 [========>.....................] - ETA: 0s - loss: 0.1600 77/115 [===================>..........] - ETA: 0s - loss: 0.1835 115/115 [==============================] - 0s 1ms/step - loss: 0.1918 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.2180 41/115 [=========>....................] - ETA: 0s - loss: 0.1894 79/115 [===================>..........] - ETA: 0s - loss: 0.1771 115/115 [==============================] - 0s 1ms/step - loss: 0.1901 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.3356 40/115 [=========>....................] - ETA: 0s - loss: 0.2400 81/115 [====================>.........] - ETA: 0s - loss: 0.2184 115/115 [==============================] - 0s 1ms/step - loss: 0.1987 -> test with GAN.predict GAN tn, fp: 264, 23 GAN fn, tp: 4, 7 GAN f1 score: 0.341 GAN cohens kappa score: 0.304 -> test with 'LR' LR tn, fp: 251, 36 LR fn, tp: 3, 8 LR f1 score: 0.291 LR cohens kappa score: 0.246 LR average precision score: 0.445 -> test with 'RF' RF tn, fp: 286, 1 RF fn, tp: 10, 1 RF f1 score: 0.154 RF cohens kappa score: 0.144 -> test with 'GB' GB tn, fp: 284, 3 GB fn, tp: 7, 4 GB f1 score: 0.444 GB cohens kappa score: 0.428 -> test with 'KNN' KNN tn, fp: 260, 27 KNN fn, tp: 5, 6 KNN f1 score: 0.273 KNN cohens kappa score: 0.230 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1106 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 21s - loss: 0.2077 38/115 [========>.....................] - ETA: 0s - loss: 0.1472  69/115 [=================>............] - ETA: 0s - loss: 0.1584 101/115 [=========================>....] - ETA: 0s - loss: 0.1615 115/115 [==============================] - 0s 2ms/step - loss: 0.1541 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.1701 33/115 [=======>......................] - ETA: 0s - loss: 0.1356 70/115 [=================>............] - ETA: 0s - loss: 0.1545 105/115 [==========================>...] - ETA: 0s - loss: 0.1568 115/115 [==============================] - 0s 1ms/step - loss: 0.1551 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.3318 38/115 [========>.....................] - ETA: 0s - loss: 0.1658 76/115 [==================>...........] - ETA: 0s - loss: 0.1498 115/115 [==============================] - 0s 1ms/step - loss: 0.1519 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.0944 38/115 [========>.....................] - ETA: 0s - loss: 0.1479 71/115 [=================>............] - ETA: 0s - loss: 0.1433 109/115 [===========================>..] - ETA: 0s - loss: 0.1499 115/115 [==============================] - 0s 1ms/step - loss: 0.1496 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.1026 39/115 [=========>....................] - ETA: 0s - loss: 0.1722 80/115 [===================>..........] - ETA: 0s - loss: 0.1509 113/115 [============================>.] - ETA: 0s - loss: 0.1484 115/115 [==============================] - 0s 1ms/step - loss: 0.1472 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.0635 37/115 [========>.....................] - ETA: 0s - loss: 0.1421 72/115 [=================>............] - ETA: 0s - loss: 0.1547 109/115 [===========================>..] - ETA: 0s - loss: 0.1526 115/115 [==============================] - 0s 1ms/step - loss: 0.1502 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1549 31/115 [=======>......................] - ETA: 0s - loss: 0.1663 63/115 [===============>..............] - ETA: 0s - loss: 0.1470 98/115 [========================>.....] - ETA: 0s - loss: 0.1392 115/115 [==============================] - 0s 2ms/step - loss: 0.1490 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.2034 36/115 [========>.....................] - ETA: 0s - loss: 0.1504 77/115 [===================>..........] - ETA: 0s - loss: 0.1547 115/115 [==============================] - 0s 1ms/step - loss: 0.1517 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.0676 41/115 [=========>....................] - ETA: 0s - loss: 0.1421 77/115 [===================>..........] - ETA: 0s - loss: 0.1605 113/115 [============================>.] - ETA: 0s - loss: 0.1466 115/115 [==============================] - 0s 1ms/step - loss: 0.1471 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1798 39/115 [=========>....................] - ETA: 0s - loss: 0.1741 78/115 [===================>..........] - ETA: 0s - loss: 0.1671 115/115 [==============================] - 0s 1ms/step - loss: 0.1510 -> test with GAN.predict GAN tn, fp: 271, 16 GAN fn, tp: 4, 7 GAN f1 score: 0.412 GAN cohens kappa score: 0.381 -> test with 'LR' LR tn, fp: 253, 34 LR fn, tp: 1, 10 LR f1 score: 0.364 LR cohens kappa score: 0.324 LR average precision score: 0.475 -> test with 'RF' RF tn, fp: 283, 4 RF fn, tp: 8, 3 RF f1 score: 0.333 RF cohens kappa score: 0.314 -> test with 'GB' GB tn, fp: 284, 3 GB fn, tp: 7, 4 GB f1 score: 0.444 GB cohens kappa score: 0.428 -> test with 'KNN' KNN tn, fp: 264, 23 KNN fn, tp: 3, 8 KNN f1 score: 0.381 KNN cohens kappa score: 0.345 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1104 synthetic samples -> retrain GAN for predict Epoch 1/10 1/115 [..............................] - ETA: 22s - loss: 0.1027 43/115 [==========>...................] - ETA: 0s - loss: 0.1839  84/115 [====================>.........] - ETA: 0s - loss: 0.2023 115/115 [==============================] - 0s 1ms/step - loss: 0.1921 Epoch 2/10 1/115 [..............................] - ETA: 0s - loss: 0.2899 41/115 [=========>....................] - ETA: 0s - loss: 0.1862 82/115 [====================>.........] - ETA: 0s - loss: 0.1823 115/115 [==============================] - 0s 1ms/step - loss: 0.1884 Epoch 3/10 1/115 [..............................] - ETA: 0s - loss: 0.2253 39/115 [=========>....................] - ETA: 0s - loss: 0.1927 78/115 [===================>..........] - ETA: 0s - loss: 0.1927 115/115 [==============================] - 0s 1ms/step - loss: 0.1888 Epoch 4/10 1/115 [..............................] - ETA: 0s - loss: 0.2652 42/115 [=========>....................] - ETA: 0s - loss: 0.1925 81/115 [====================>.........] - ETA: 0s - loss: 0.1780 115/115 [==============================] - 0s 1ms/step - loss: 0.1859 Epoch 5/10 1/115 [..............................] - ETA: 0s - loss: 0.0997 40/115 [=========>....................] - ETA: 0s - loss: 0.1737 81/115 [====================>.........] - ETA: 0s - loss: 0.1850 115/115 [==============================] - 0s 1ms/step - loss: 0.1881 Epoch 6/10 1/115 [..............................] - ETA: 0s - loss: 0.1106 42/115 [=========>....................] - ETA: 0s - loss: 0.1866 76/115 [==================>...........] - ETA: 0s - loss: 0.1894 115/115 [==============================] - ETA: 0s - loss: 0.1858 115/115 [==============================] - 0s 1ms/step - loss: 0.1858 Epoch 7/10 1/115 [..............................] - ETA: 0s - loss: 0.1879 40/115 [=========>....................] - ETA: 0s - loss: 0.1676 80/115 [===================>..........] - ETA: 0s - loss: 0.1860 115/115 [==============================] - 0s 1ms/step - loss: 0.1849 Epoch 8/10 1/115 [..............................] - ETA: 0s - loss: 0.2020 37/115 [========>.....................] - ETA: 0s - loss: 0.1588 73/115 [==================>...........] - ETA: 0s - loss: 0.1705 108/115 [===========================>..] - ETA: 0s - loss: 0.1825 115/115 [==============================] - 0s 1ms/step - loss: 0.1838 Epoch 9/10 1/115 [..............................] - ETA: 0s - loss: 0.3628 40/115 [=========>....................] - ETA: 0s - loss: 0.1718 79/115 [===================>..........] - ETA: 0s - loss: 0.1885 115/115 [==============================] - 0s 1ms/step - loss: 0.1838 Epoch 10/10 1/115 [..............................] - ETA: 0s - loss: 0.1529 41/115 [=========>....................] - ETA: 0s - loss: 0.1770 80/115 [===================>..........] - ETA: 0s - loss: 0.1820 115/115 [==============================] - 0s 1ms/step - loss: 0.1852 -> test with GAN.predict GAN tn, fp: 259, 26 GAN fn, tp: 3, 4 GAN f1 score: 0.216 GAN cohens kappa score: 0.185 -> test with 'LR' LR tn, fp: 249, 36 LR fn, tp: 3, 4 LR f1 score: 0.170 LR cohens kappa score: 0.135 LR average precision score: 0.160 -> test with 'RF' RF tn, fp: 283, 2 RF fn, tp: 6, 1 RF f1 score: 0.200 RF cohens kappa score: 0.188 -> test with 'GB' GB tn, fp: 281, 4 GB fn, tp: 5, 2 GB f1 score: 0.308 GB cohens kappa score: 0.292 -> test with 'KNN' KNN tn, fp: 264, 21 KNN fn, tp: 2, 5 KNN f1 score: 0.303 KNN cohens kappa score: 0.276 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 262, 46 LR fn, tp: 6, 10 LR f1 score: 0.364 LR cohens kappa score: 0.324 LR average precision score: 0.613 average: LR tn, fp: 250.84, 35.76 LR fn, tp: 2.76, 7.44 LR f1 score: 0.277 LR cohens kappa score: 0.235 LR average precision score: 0.374 minimum: LR tn, fp: 241, 25 LR fn, tp: 1, 4 LR f1 score: 0.170 LR cohens kappa score: 0.135 LR average precision score: 0.160 -----[ RF ]----- maximum: RF tn, fp: 286, 7 RF fn, tp: 11, 5 RF f1 score: 0.500 RF cohens kappa score: 0.486 average: RF tn, fp: 283.0, 3.6 RF fn, tp: 7.44, 2.76 RF f1 score: 0.321 RF cohens kappa score: 0.304 minimum: RF tn, fp: 280, 1 RF fn, tp: 3, 0 RF f1 score: 0.000 RF cohens kappa score: -0.020 -----[ GB ]----- maximum: GB tn, fp: 284, 13 GB fn, tp: 9, 6 GB f1 score: 0.500 GB cohens kappa score: 0.479 average: GB tn, fp: 280.32, 6.28 GB fn, tp: 6.64, 3.56 GB f1 score: 0.351 GB cohens kappa score: 0.329 minimum: GB tn, fp: 274, 3 GB fn, tp: 4, 1 GB f1 score: 0.143 GB cohens kappa score: 0.122 -----[ KNN ]----- maximum: KNN tn, fp: 274, 34 KNN fn, tp: 6, 10 KNN f1 score: 0.417 KNN cohens kappa score: 0.381 average: KNN tn, fp: 262.08, 24.52 KNN fn, tp: 2.84, 7.36 KNN f1 score: 0.348 KNN cohens kappa score: 0.313 minimum: KNN tn, fp: 253, 13 KNN fn, tp: 1, 5 KNN f1 score: 0.263 KNN cohens kappa score: 0.230 -----[ GAN ]----- maximum: GAN tn, fp: 274, 44 GAN fn, tp: 7, 9 GAN f1 score: 0.412 GAN cohens kappa score: 0.381 average: GAN tn, fp: 261.68, 24.92 GAN fn, tp: 3.88, 6.32 GAN f1 score: 0.308 GAN cohens kappa score: 0.271 minimum: GAN tn, fp: 243, 13 GAN fn, tp: 2, 2 GAN f1 score: 0.129 GAN cohens kappa score: 0.095