/////////////////////////////////////////// // Running convGAN-majority-full on folding_flare-F /////////////////////////////////////////// Load 'data_input/folding_flare-F' from pickle file non empty cut in data_input/folding_flare-F! (23 points) Data loaded. -> Shuffling data ### Start exercise for synthetic point generator ====== Step 1/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 1/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 14s - loss: 4.9632e-05 37/82 [============>.................] - ETA: 0s - loss: 0.1286  67/82 [=======================>......] - ETA: 0s - loss: 0.1133 82/82 [==============================] - 0s 2ms/step - loss: 0.1065 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 2.2218e-04 36/82 [============>.................] - ETA: 0s - loss: 0.0639  65/82 [======================>.......] - ETA: 0s - loss: 0.0854 82/82 [==============================] - 0s 2ms/step - loss: 0.0840 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1552 32/82 [==========>...................] - ETA: 0s - loss: 0.0727 66/82 [=======================>......] - ETA: 0s - loss: 0.0749 82/82 [==============================] - 0s 2ms/step - loss: 0.0732 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 6.5896e-05 36/82 [============>.................] - ETA: 0s - loss: 0.0795  68/82 [=======================>......] - ETA: 0s - loss: 0.0724 82/82 [==============================] - 0s 2ms/step - loss: 0.0696 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0071 28/82 [=========>....................] - ETA: 0s - loss: 0.0730 56/82 [===================>..........] - ETA: 0s - loss: 0.0611 82/82 [==============================] - 0s 2ms/step - loss: 0.0615 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0845 33/82 [===========>..................] - ETA: 0s - loss: 0.0662 66/82 [=======================>......] - ETA: 0s - loss: 0.0589 82/82 [==============================] - 0s 2ms/step - loss: 0.0582 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0802 36/82 [============>.................] - ETA: 0s - loss: 0.0746 72/82 [=========================>....] - ETA: 0s - loss: 0.0589 82/82 [==============================] - 0s 1ms/step - loss: 0.0555 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.3370 33/82 [===========>..................] - ETA: 0s - loss: 0.0602 71/82 [========================>.....] - ETA: 0s - loss: 0.0560 82/82 [==============================] - 0s 1ms/step - loss: 0.0548 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0636 35/82 [===========>..................] - ETA: 0s - loss: 0.0483 73/82 [=========================>....] - ETA: 0s - loss: 0.0581 82/82 [==============================] - 0s 1ms/step - loss: 0.0540 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0019 36/82 [============>.................] - ETA: 0s - loss: 0.0478 70/82 [========================>.....] - ETA: 0s - loss: 0.0505 82/82 [==============================] - 0s 1ms/step - loss: 0.0518 -> test with GAN.predict GAN tn, fp: 195, 10 GAN fn, tp: 8, 1 GAN f1 score: 0.100 GAN cohens kappa score: 0.056 -> test with 'LR' LR tn, fp: 183, 22 LR fn, tp: 8, 1 LR f1 score: 0.062 LR cohens kappa score: 0.002 LR average precision score: 0.089 -> test with 'RF' RF tn, fp: 198, 7 RF fn, tp: 8, 1 RF f1 score: 0.118 RF cohens kappa score: 0.081 -> test with 'GB' GB tn, fp: 201, 4 GB fn, tp: 8, 1 GB f1 score: 0.143 GB cohens kappa score: 0.116 -> test with 'KNN' KNN tn, fp: 187, 18 KNN fn, tp: 6, 3 KNN f1 score: 0.200 KNN cohens kappa score: 0.150 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0482 38/82 [============>.................] - ETA: 0s - loss: 0.1049  76/82 [==========================>...] - ETA: 0s - loss: 0.1098 82/82 [==============================] - 0s 1ms/step - loss: 0.1065 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0098 39/82 [=============>................] - ETA: 0s - loss: 0.0859 77/82 [===========================>..] - ETA: 0s - loss: 0.0957 82/82 [==============================] - 0s 1ms/step - loss: 0.0970 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0977 35/82 [===========>..................] - ETA: 0s - loss: 0.1076 66/82 [=======================>......] - ETA: 0s - loss: 0.0971 82/82 [==============================] - 0s 2ms/step - loss: 0.0982 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0377 32/82 [==========>...................] - ETA: 0s - loss: 0.1151 71/82 [========================>.....] - ETA: 0s - loss: 0.0987 82/82 [==============================] - 0s 1ms/step - loss: 0.0971 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.2431 40/82 [=============>................] - ETA: 0s - loss: 0.0926 75/82 [==========================>...] - ETA: 0s - loss: 0.0975 82/82 [==============================] - 0s 1ms/step - loss: 0.0960 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0696 35/82 [===========>..................] - ETA: 0s - loss: 0.0894 70/82 [========================>.....] - ETA: 0s - loss: 0.0893 82/82 [==============================] - 0s 1ms/step - loss: 0.0932 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0761 39/82 [=============>................] - ETA: 0s - loss: 0.0910 79/82 [===========================>..] - ETA: 0s - loss: 0.0928 82/82 [==============================] - 0s 1ms/step - loss: 0.0929 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1336 39/82 [=============>................] - ETA: 0s - loss: 0.0877 74/82 [==========================>...] - ETA: 0s - loss: 0.0863 82/82 [==============================] - 0s 1ms/step - loss: 0.0896 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0309 39/82 [=============>................] - ETA: 0s - loss: 0.1007 77/82 [===========================>..] - ETA: 0s - loss: 0.0888 82/82 [==============================] - 0s 1ms/step - loss: 0.0875 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0761 36/82 [============>.................] - ETA: 0s - loss: 0.0906 73/82 [=========================>....] - ETA: 0s - loss: 0.0872 82/82 [==============================] - 0s 1ms/step - loss: 0.0912 -> test with GAN.predict GAN tn, fp: 193, 12 GAN fn, tp: 6, 3 GAN f1 score: 0.250 GAN cohens kappa score: 0.208 -> test with 'LR' LR tn, fp: 167, 38 LR fn, tp: 0, 9 LR f1 score: 0.321 LR cohens kappa score: 0.270 LR average precision score: 0.382 -> test with 'RF' RF tn, fp: 200, 5 RF fn, tp: 8, 1 RF f1 score: 0.133 RF cohens kappa score: 0.103 -> test with 'GB' GB tn, fp: 202, 3 GB fn, tp: 7, 2 GB f1 score: 0.286 GB cohens kappa score: 0.264 -> test with 'KNN' KNN tn, fp: 166, 39 KNN fn, tp: 2, 7 KNN f1 score: 0.255 KNN cohens kappa score: 0.198 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 15s - loss: 0.0152 34/82 [===========>..................] - ETA: 0s - loss: 0.1003  68/82 [=======================>......] - ETA: 0s - loss: 0.0807 82/82 [==============================] - 0s 2ms/step - loss: 0.0760 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0875 35/82 [===========>..................] - ETA: 0s - loss: 0.0847 68/82 [=======================>......] - ETA: 0s - loss: 0.0757 82/82 [==============================] - 0s 2ms/step - loss: 0.0760 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0113 31/82 [==========>...................] - ETA: 0s - loss: 0.0735 61/82 [=====================>........] - ETA: 0s - loss: 0.0696 82/82 [==============================] - 0s 2ms/step - loss: 0.0688 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.1143 33/82 [===========>..................] - ETA: 0s - loss: 0.0616 63/82 [======================>.......] - ETA: 0s - loss: 0.0678 82/82 [==============================] - 0s 2ms/step - loss: 0.0722 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0235 33/82 [===========>..................] - ETA: 0s - loss: 0.0767 64/82 [======================>.......] - ETA: 0s - loss: 0.0699 82/82 [==============================] - 0s 2ms/step - loss: 0.0661 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 3.0378e-04 31/82 [==========>...................] - ETA: 0s - loss: 0.0632  60/82 [====================>.........] - ETA: 0s - loss: 0.0597 82/82 [==============================] - 0s 2ms/step - loss: 0.0667 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0015 35/82 [===========>..................] - ETA: 0s - loss: 0.0386 65/82 [======================>.......] - ETA: 0s - loss: 0.0638 82/82 [==============================] - 0s 2ms/step - loss: 0.0634 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0199 34/82 [===========>..................] - ETA: 0s - loss: 0.0411 61/82 [=====================>........] - ETA: 0s - loss: 0.0557 82/82 [==============================] - 0s 2ms/step - loss: 0.0646 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1357 34/82 [===========>..................] - ETA: 0s - loss: 0.0651 71/82 [========================>.....] - ETA: 0s - loss: 0.0618 82/82 [==============================] - 0s 2ms/step - loss: 0.0624 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2484 33/82 [===========>..................] - ETA: 0s - loss: 0.0727 65/82 [======================>.......] - ETA: 0s - loss: 0.0688 82/82 [==============================] - 0s 2ms/step - loss: 0.0620 -> test with GAN.predict GAN tn, fp: 201, 4 GAN fn, tp: 7, 2 GAN f1 score: 0.267 GAN cohens kappa score: 0.241 -> test with 'LR' LR tn, fp: 181, 24 LR fn, tp: 3, 6 LR f1 score: 0.308 LR cohens kappa score: 0.260 LR average precision score: 0.504 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.021 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 8, 1 GB f1 score: 0.200 GB cohens kappa score: 0.193 -> test with 'KNN' KNN tn, fp: 189, 16 KNN fn, tp: 3, 6 KNN f1 score: 0.387 KNN cohens kappa score: 0.348 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 14s - loss: 0.0227 27/82 [========>.....................] - ETA: 0s - loss: 0.0920  55/82 [===================>..........] - ETA: 0s - loss: 0.0824 82/82 [==============================] - ETA: 0s - loss: 0.0894 82/82 [==============================] - 0s 2ms/step - loss: 0.0894 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.1863 26/82 [========>.....................] - ETA: 0s - loss: 0.0787 51/82 [=================>............] - ETA: 0s - loss: 0.0898 76/82 [==========================>...] - ETA: 0s - loss: 0.0957 82/82 [==============================] - 0s 2ms/step - loss: 0.0964 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0826 27/82 [========>.....................] - ETA: 0s - loss: 0.0869 55/82 [===================>..........] - ETA: 0s - loss: 0.0875 82/82 [==============================] - ETA: 0s - loss: 0.0861 82/82 [==============================] - 0s 2ms/step - loss: 0.0861 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0463 27/82 [========>.....................] - ETA: 0s - loss: 0.1063 54/82 [==================>...........] - ETA: 0s - loss: 0.0888 82/82 [==============================] - 0s 2ms/step - loss: 0.0828 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1628 37/82 [============>.................] - ETA: 0s - loss: 0.0834 73/82 [=========================>....] - ETA: 0s - loss: 0.0725 82/82 [==============================] - 0s 1ms/step - loss: 0.0785 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0040 34/82 [===========>..................] - ETA: 0s - loss: 0.0784 66/82 [=======================>......] - ETA: 0s - loss: 0.0770 82/82 [==============================] - 0s 2ms/step - loss: 0.0771 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2374 30/82 [=========>....................] - ETA: 0s - loss: 0.0717 65/82 [======================>.......] - ETA: 0s - loss: 0.0743 82/82 [==============================] - 0s 2ms/step - loss: 0.0749 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0060 38/82 [============>.................] - ETA: 0s - loss: 0.0757 74/82 [==========================>...] - ETA: 0s - loss: 0.0730 82/82 [==============================] - 0s 1ms/step - loss: 0.0728 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0611 36/82 [============>.................] - ETA: 0s - loss: 0.0748 71/82 [========================>.....] - ETA: 0s - loss: 0.0703 82/82 [==============================] - 0s 1ms/step - loss: 0.0718 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0242 38/82 [============>.................] - ETA: 0s - loss: 0.0719 76/82 [==========================>...] - ETA: 0s - loss: 0.0618 82/82 [==============================] - 0s 1ms/step - loss: 0.0705 -> test with GAN.predict GAN tn, fp: 203, 2 GAN fn, tp: 8, 1 GAN f1 score: 0.167 GAN cohens kappa score: 0.149 -> test with 'LR' LR tn, fp: 190, 15 LR fn, tp: 0, 9 LR f1 score: 0.545 LR cohens kappa score: 0.516 LR average precision score: 0.796 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 8, 1 RF f1 score: 0.182 RF cohens kappa score: 0.169 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 7, 2 GB f1 score: 0.364 GB cohens kappa score: 0.354 -> test with 'KNN' KNN tn, fp: 198, 7 KNN fn, tp: 5, 4 KNN f1 score: 0.400 KNN cohens kappa score: 0.371 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 11s - loss: 0.0348 38/82 [============>.................] - ETA: 0s - loss: 0.1220  75/82 [==========================>...] - ETA: 0s - loss: 0.1026 82/82 [==============================] - 0s 1ms/step - loss: 0.1034 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0806 41/82 [==============>...............] - ETA: 0s - loss: 0.0772 81/82 [============================>.] - ETA: 0s - loss: 0.0879 82/82 [==============================] - 0s 1ms/step - loss: 0.0868 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2511 33/82 [===========>..................] - ETA: 0s - loss: 0.0726 72/82 [=========================>....] - ETA: 0s - loss: 0.0738 82/82 [==============================] - 0s 1ms/step - loss: 0.0772 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0015 41/82 [==============>...............] - ETA: 0s - loss: 0.0673 82/82 [==============================] - ETA: 0s - loss: 0.0751 82/82 [==============================] - 0s 1ms/step - loss: 0.0751 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1432 39/82 [=============>................] - ETA: 0s - loss: 0.0853 79/82 [===========================>..] - ETA: 0s - loss: 0.0759 82/82 [==============================] - 0s 1ms/step - loss: 0.0740 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0029 41/82 [==============>...............] - ETA: 0s - loss: 0.0749 77/82 [===========================>..] - ETA: 0s - loss: 0.0694 82/82 [==============================] - 0s 1ms/step - loss: 0.0696 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0053 40/82 [=============>................] - ETA: 0s - loss: 0.0690 77/82 [===========================>..] - ETA: 0s - loss: 0.0693 82/82 [==============================] - 0s 1ms/step - loss: 0.0678 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0080 39/82 [=============>................] - ETA: 0s - loss: 0.0655 78/82 [===========================>..] - ETA: 0s - loss: 0.0649 82/82 [==============================] - 0s 1ms/step - loss: 0.0642 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0240 38/82 [============>.................] - ETA: 0s - loss: 0.0703 77/82 [===========================>..] - ETA: 0s - loss: 0.0627 82/82 [==============================] - 0s 1ms/step - loss: 0.0658 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0327 38/82 [============>.................] - ETA: 0s - loss: 0.0540 76/82 [==========================>...] - ETA: 0s - loss: 0.0631 82/82 [==============================] - 0s 1ms/step - loss: 0.0628 -> test with GAN.predict GAN tn, fp: 192, 11 GAN fn, tp: 5, 2 GAN f1 score: 0.200 GAN cohens kappa score: 0.164 -> test with 'LR' LR tn, fp: 182, 21 LR fn, tp: 3, 4 LR f1 score: 0.250 LR cohens kappa score: 0.209 LR average precision score: 0.218 -> test with 'RF' RF tn, fp: 199, 4 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.025 -> test with 'GB' GB tn, fp: 199, 4 GB fn, tp: 4, 3 GB f1 score: 0.429 GB cohens kappa score: 0.409 -> test with 'KNN' KNN tn, fp: 183, 20 KNN fn, tp: 2, 5 KNN f1 score: 0.312 KNN cohens kappa score: 0.275 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 15s - loss: 0.0387 34/82 [===========>..................] - ETA: 0s - loss: 0.0730  71/82 [========================>.....] - ETA: 0s - loss: 0.0723 82/82 [==============================] - 0s 1ms/step - loss: 0.0745 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0026 37/82 [============>.................] - ETA: 0s - loss: 0.0560 73/82 [=========================>....] - ETA: 0s - loss: 0.0696 82/82 [==============================] - 0s 1ms/step - loss: 0.0697 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.2029 33/82 [===========>..................] - ETA: 0s - loss: 0.0480 70/82 [========================>.....] - ETA: 0s - loss: 0.0584 82/82 [==============================] - 0s 1ms/step - loss: 0.0677 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0014 38/82 [============>.................] - ETA: 0s - loss: 0.0699 72/82 [=========================>....] - ETA: 0s - loss: 0.0654 82/82 [==============================] - 0s 1ms/step - loss: 0.0667 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0692 37/82 [============>.................] - ETA: 0s - loss: 0.0630 72/82 [=========================>....] - ETA: 0s - loss: 0.0674 82/82 [==============================] - 0s 1ms/step - loss: 0.0643 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0126 38/82 [============>.................] - ETA: 0s - loss: 0.0583 75/82 [==========================>...] - ETA: 0s - loss: 0.0643 82/82 [==============================] - 0s 1ms/step - loss: 0.0649 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1636 37/82 [============>.................] - ETA: 0s - loss: 0.0495 73/82 [=========================>....] - ETA: 0s - loss: 0.0702 82/82 [==============================] - 0s 1ms/step - loss: 0.0651 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0018 35/82 [===========>..................] - ETA: 0s - loss: 0.0650 71/82 [========================>.....] - ETA: 0s - loss: 0.0560 82/82 [==============================] - 0s 1ms/step - loss: 0.0613 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0017 34/82 [===========>..................] - ETA: 0s - loss: 0.0506 64/82 [======================>.......] - ETA: 0s - loss: 0.0570 82/82 [==============================] - 0s 2ms/step - loss: 0.0587 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0310 29/82 [=========>....................] - ETA: 0s - loss: 0.0555 56/82 [===================>..........] - ETA: 0s - loss: 0.0569 79/82 [===========================>..] - ETA: 0s - loss: 0.0607 82/82 [==============================] - 0s 2ms/step - loss: 0.0614 -> test with GAN.predict GAN tn, fp: 198, 7 GAN fn, tp: 6, 3 GAN f1 score: 0.316 GAN cohens kappa score: 0.284 -> test with 'LR' LR tn, fp: 178, 27 LR fn, tp: 2, 7 LR f1 score: 0.326 LR cohens kappa score: 0.278 LR average precision score: 0.422 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 7, 2 RF f1 score: 0.286 RF cohens kappa score: 0.264 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 8, 1 GB f1 score: 0.167 GB cohens kappa score: 0.149 -> test with 'KNN' KNN tn, fp: 189, 16 KNN fn, tp: 3, 6 KNN f1 score: 0.387 KNN cohens kappa score: 0.348 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 40s - loss: 2.5342e-04 36/82 [============>.................] - ETA: 0s - loss: 0.1244  72/82 [=========================>....] - ETA: 0s - loss: 0.1184 82/82 [==============================] - 1s 1ms/step - loss: 0.1095 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0093 38/82 [============>.................] - ETA: 0s - loss: 0.0830 72/82 [=========================>....] - ETA: 0s - loss: 0.0854 82/82 [==============================] - 0s 1ms/step - loss: 0.0888 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0016 27/82 [========>.....................] - ETA: 0s - loss: 0.0559 62/82 [=====================>........] - ETA: 0s - loss: 0.0702 82/82 [==============================] - 0s 2ms/step - loss: 0.0771 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2124 35/82 [===========>..................] - ETA: 0s - loss: 0.0849 68/82 [=======================>......] - ETA: 0s - loss: 0.0739 82/82 [==============================] - 0s 1ms/step - loss: 0.0731 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0026 38/82 [============>.................] - ETA: 0s - loss: 0.0777 73/82 [=========================>....] - ETA: 0s - loss: 0.0734 82/82 [==============================] - 0s 1ms/step - loss: 0.0703 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0093 38/82 [============>.................] - ETA: 0s - loss: 0.0757 75/82 [==========================>...] - ETA: 0s - loss: 0.0662 82/82 [==============================] - 0s 1ms/step - loss: 0.0639 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0187 35/82 [===========>..................] - ETA: 0s - loss: 0.0587 65/82 [======================>.......] - ETA: 0s - loss: 0.0619 82/82 [==============================] - 0s 2ms/step - loss: 0.0631 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0010 26/82 [========>.....................] - ETA: 0s - loss: 0.0665 52/82 [==================>...........] - ETA: 0s - loss: 0.0707 77/82 [===========================>..] - ETA: 0s - loss: 0.0639 82/82 [==============================] - 0s 2ms/step - loss: 0.0622 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0120 28/82 [=========>....................] - ETA: 0s - loss: 0.0609 57/82 [===================>..........] - ETA: 0s - loss: 0.0597 82/82 [==============================] - 0s 2ms/step - loss: 0.0613 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0016 30/82 [=========>....................] - ETA: 0s - loss: 0.0629 57/82 [===================>..........] - ETA: 0s - loss: 0.0608 82/82 [==============================] - 0s 2ms/step - loss: 0.0576 -> test with GAN.predict GAN tn, fp: 200, 5 GAN fn, tp: 8, 1 GAN f1 score: 0.133 GAN cohens kappa score: 0.103 -> test with 'LR' LR tn, fp: 176, 29 LR fn, tp: 4, 5 LR f1 score: 0.233 LR cohens kappa score: 0.178 LR average precision score: 0.374 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 8, 1 RF f1 score: 0.154 RF cohens kappa score: 0.131 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.016 -> test with 'KNN' KNN tn, fp: 184, 21 KNN fn, tp: 4, 5 KNN f1 score: 0.286 KNN cohens kappa score: 0.238 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0050 37/82 [============>.................] - ETA: 0s - loss: 0.1025  67/82 [=======================>......] - ETA: 0s - loss: 0.0978 82/82 [==============================] - 0s 2ms/step - loss: 0.1085 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0970 33/82 [===========>..................] - ETA: 0s - loss: 0.0670 67/82 [=======================>......] - ETA: 0s - loss: 0.0965 82/82 [==============================] - 0s 2ms/step - loss: 0.0902 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0083 40/82 [=============>................] - ETA: 0s - loss: 0.0910 78/82 [===========================>..] - ETA: 0s - loss: 0.0815 82/82 [==============================] - 0s 1ms/step - loss: 0.0828 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0305 39/82 [=============>................] - ETA: 0s - loss: 0.0889 79/82 [===========================>..] - ETA: 0s - loss: 0.0716 82/82 [==============================] - 0s 1ms/step - loss: 0.0766 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0307 37/82 [============>.................] - ETA: 0s - loss: 0.0830 76/82 [==========================>...] - ETA: 0s - loss: 0.0772 82/82 [==============================] - 0s 1ms/step - loss: 0.0742 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0051 41/82 [==============>...............] - ETA: 0s - loss: 0.0737 80/82 [============================>.] - ETA: 0s - loss: 0.0698 82/82 [==============================] - 0s 1ms/step - loss: 0.0684 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0079 40/82 [=============>................] - ETA: 0s - loss: 0.0787 78/82 [===========================>..] - ETA: 0s - loss: 0.0673 82/82 [==============================] - 0s 1ms/step - loss: 0.0649 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1827 40/82 [=============>................] - ETA: 0s - loss: 0.0700 76/82 [==========================>...] - ETA: 0s - loss: 0.0643 82/82 [==============================] - 0s 1ms/step - loss: 0.0638 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0011 40/82 [=============>................] - ETA: 0s - loss: 0.0514 77/82 [===========================>..] - ETA: 0s - loss: 0.0611 82/82 [==============================] - 0s 1ms/step - loss: 0.0598 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0257 37/82 [============>.................] - ETA: 0s - loss: 0.0596 75/82 [==========================>...] - ETA: 0s - loss: 0.0652 82/82 [==============================] - 0s 1ms/step - loss: 0.0609 -> test with GAN.predict GAN tn, fp: 205, 0 GAN fn, tp: 8, 1 GAN f1 score: 0.200 GAN cohens kappa score: 0.193 -> test with 'LR' LR tn, fp: 180, 25 LR fn, tp: 3, 6 LR f1 score: 0.300 LR cohens kappa score: 0.251 LR average precision score: 0.386 -> test with 'RF' RF tn, fp: 203, 2 RF fn, tp: 8, 1 RF f1 score: 0.167 RF cohens kappa score: 0.149 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 8, 1 GB f1 score: 0.182 GB cohens kappa score: 0.169 -> test with 'KNN' KNN tn, fp: 191, 14 KNN fn, tp: 4, 5 KNN f1 score: 0.357 KNN cohens kappa score: 0.318 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.2398 40/82 [=============>................] - ETA: 0s - loss: 0.1093  79/82 [===========================>..] - ETA: 0s - loss: 0.0965 82/82 [==============================] - 0s 1ms/step - loss: 0.0958 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0037 39/82 [=============>................] - ETA: 0s - loss: 0.0806 75/82 [==========================>...] - ETA: 0s - loss: 0.0899 82/82 [==============================] - 0s 1ms/step - loss: 0.0863 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0439 39/82 [=============>................] - ETA: 0s - loss: 0.0743 77/82 [===========================>..] - ETA: 0s - loss: 0.0785 82/82 [==============================] - 0s 1ms/step - loss: 0.0776 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0017 33/82 [===========>..................] - ETA: 0s - loss: 0.0537 69/82 [========================>.....] - ETA: 0s - loss: 0.0719 82/82 [==============================] - 0s 1ms/step - loss: 0.0735 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0071 37/82 [============>.................] - ETA: 0s - loss: 0.0561 71/82 [========================>.....] - ETA: 0s - loss: 0.0663 82/82 [==============================] - 0s 1ms/step - loss: 0.0695 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0077 36/82 [============>.................] - ETA: 0s - loss: 0.0594 69/82 [========================>.....] - ETA: 0s - loss: 0.0700 82/82 [==============================] - 0s 1ms/step - loss: 0.0690 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0496 37/82 [============>.................] - ETA: 0s - loss: 0.0876 75/82 [==========================>...] - ETA: 0s - loss: 0.0711 82/82 [==============================] - 0s 1ms/step - loss: 0.0677 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0357 36/82 [============>.................] - ETA: 0s - loss: 0.0705 68/82 [=======================>......] - ETA: 0s - loss: 0.0640 82/82 [==============================] - 0s 2ms/step - loss: 0.0640 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0029 31/82 [==========>...................] - ETA: 0s - loss: 0.0750 67/82 [=======================>......] - ETA: 0s - loss: 0.0647 82/82 [==============================] - 0s 1ms/step - loss: 0.0640 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.2749 39/82 [=============>................] - ETA: 0s - loss: 0.0535 76/82 [==========================>...] - ETA: 0s - loss: 0.0615 82/82 [==============================] - 0s 1ms/step - loss: 0.0627 -> test with GAN.predict GAN tn, fp: 202, 3 GAN fn, tp: 8, 1 GAN f1 score: 0.154 GAN cohens kappa score: 0.131 -> test with 'LR' LR tn, fp: 193, 12 LR fn, tp: 5, 4 LR f1 score: 0.320 LR cohens kappa score: 0.281 LR average precision score: 0.295 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 8, 1 RF f1 score: 0.154 RF cohens kappa score: 0.131 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 8, 1 GB f1 score: 0.167 GB cohens kappa score: 0.149 -> test with 'KNN' KNN tn, fp: 192, 13 KNN fn, tp: 3, 6 KNN f1 score: 0.429 KNN cohens kappa score: 0.394 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 12s - loss: 0.0764 40/82 [=============>................] - ETA: 0s - loss: 0.0755  82/82 [==============================] - ETA: 0s - loss: 0.0873 82/82 [==============================] - 0s 1ms/step - loss: 0.0873 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0146 42/82 [==============>...............] - ETA: 0s - loss: 0.0837 80/82 [============================>.] - ETA: 0s - loss: 0.0786 82/82 [==============================] - 0s 1ms/step - loss: 0.0776 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0196 41/82 [==============>...............] - ETA: 0s - loss: 0.0977 82/82 [==============================] - ETA: 0s - loss: 0.0847 82/82 [==============================] - 0s 1ms/step - loss: 0.0847 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0348 41/82 [==============>...............] - ETA: 0s - loss: 0.0758 77/82 [===========================>..] - ETA: 0s - loss: 0.0743 82/82 [==============================] - 0s 1ms/step - loss: 0.0783 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1130 38/82 [============>.................] - ETA: 0s - loss: 0.0709 69/82 [========================>.....] - ETA: 0s - loss: 0.0723 82/82 [==============================] - 0s 1ms/step - loss: 0.0792 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0696 42/82 [==============>...............] - ETA: 0s - loss: 0.0845 82/82 [==============================] - ETA: 0s - loss: 0.0790 82/82 [==============================] - 0s 1ms/step - loss: 0.0790 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0121 41/82 [==============>...............] - ETA: 0s - loss: 0.0728 78/82 [===========================>..] - ETA: 0s - loss: 0.0764 82/82 [==============================] - 0s 1ms/step - loss: 0.0768 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0802 42/82 [==============>...............] - ETA: 0s - loss: 0.0628 82/82 [==============================] - ETA: 0s - loss: 0.0724 82/82 [==============================] - 0s 1ms/step - loss: 0.0724 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0037 42/82 [==============>...............] - ETA: 0s - loss: 0.0796 82/82 [==============================] - 0s 1ms/step - loss: 0.0773 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0419 41/82 [==============>...............] - ETA: 0s - loss: 0.0668 82/82 [==============================] - ETA: 0s - loss: 0.0741 82/82 [==============================] - 0s 1ms/step - loss: 0.0741 -> test with GAN.predict GAN tn, fp: 191, 12 GAN fn, tp: 5, 2 GAN f1 score: 0.190 GAN cohens kappa score: 0.153 -> test with 'LR' LR tn, fp: 176, 27 LR fn, tp: 0, 7 LR f1 score: 0.341 LR cohens kappa score: 0.303 LR average precision score: 0.392 -> test with 'RF' RF tn, fp: 201, 2 RF fn, tp: 6, 1 RF f1 score: 0.200 RF cohens kappa score: 0.184 -> test with 'GB' GB tn, fp: 201, 2 GB fn, tp: 6, 1 GB f1 score: 0.200 GB cohens kappa score: 0.184 -> test with 'KNN' KNN tn, fp: 180, 23 KNN fn, tp: 1, 6 KNN f1 score: 0.333 KNN cohens kappa score: 0.295 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.3820 40/82 [=============>................] - ETA: 0s - loss: 0.1146  79/82 [===========================>..] - ETA: 0s - loss: 0.1147 82/82 [==============================] - 0s 1ms/step - loss: 0.1114 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0871 36/82 [============>.................] - ETA: 0s - loss: 0.0916 72/82 [=========================>....] - ETA: 0s - loss: 0.0989 82/82 [==============================] - 0s 1ms/step - loss: 0.0961 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0108 31/82 [==========>...................] - ETA: 0s - loss: 0.0920 70/82 [========================>.....] - ETA: 0s - loss: 0.0860 82/82 [==============================] - 0s 1ms/step - loss: 0.0921 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0790 38/82 [============>.................] - ETA: 0s - loss: 0.0929 74/82 [==========================>...] - ETA: 0s - loss: 0.0876 82/82 [==============================] - 0s 1ms/step - loss: 0.0891 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0884 40/82 [=============>................] - ETA: 0s - loss: 0.0662 78/82 [===========================>..] - ETA: 0s - loss: 0.0843 82/82 [==============================] - 0s 1ms/step - loss: 0.0852 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0634 41/82 [==============>...............] - ETA: 0s - loss: 0.0861 79/82 [===========================>..] - ETA: 0s - loss: 0.0822 82/82 [==============================] - 0s 1ms/step - loss: 0.0798 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.1097 40/82 [=============>................] - ETA: 0s - loss: 0.0809 72/82 [=========================>....] - ETA: 0s - loss: 0.0847 82/82 [==============================] - 0s 1ms/step - loss: 0.0852 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0913 34/82 [===========>..................] - ETA: 0s - loss: 0.0933 69/82 [========================>.....] - ETA: 0s - loss: 0.0794 82/82 [==============================] - 0s 1ms/step - loss: 0.0823 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0195 41/82 [==============>...............] - ETA: 0s - loss: 0.0846 79/82 [===========================>..] - ETA: 0s - loss: 0.0786 82/82 [==============================] - 0s 1ms/step - loss: 0.0818 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0747 40/82 [=============>................] - ETA: 0s - loss: 0.0761 77/82 [===========================>..] - ETA: 0s - loss: 0.0822 82/82 [==============================] - 0s 1ms/step - loss: 0.0821 -> test with GAN.predict GAN tn, fp: 204, 1 GAN fn, tp: 7, 2 GAN f1 score: 0.333 GAN cohens kappa score: 0.319 -> test with 'LR' LR tn, fp: 188, 17 LR fn, tp: 1, 8 LR f1 score: 0.471 LR cohens kappa score: 0.436 LR average precision score: 0.820 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.008 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: 0.000 -> test with 'KNN' KNN tn, fp: 193, 12 KNN fn, tp: 3, 6 KNN f1 score: 0.444 KNN cohens kappa score: 0.411 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 15s - loss: 7.2936e-05 40/82 [=============>................] - ETA: 0s - loss: 0.0904  79/82 [===========================>..] - ETA: 0s - loss: 0.0896 82/82 [==============================] - 0s 1ms/step - loss: 0.0908 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2217 40/82 [=============>................] - ETA: 0s - loss: 0.0768 79/82 [===========================>..] - ETA: 0s - loss: 0.0783 82/82 [==============================] - 0s 1ms/step - loss: 0.0774 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 2.0882e-04 39/82 [=============>................] - ETA: 0s - loss: 0.0601  76/82 [==========================>...] - ETA: 0s - loss: 0.0648 82/82 [==============================] - 0s 1ms/step - loss: 0.0727 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0039 35/82 [===========>..................] - ETA: 0s - loss: 0.0431 66/82 [=======================>......] - ETA: 0s - loss: 0.0703 82/82 [==============================] - 0s 2ms/step - loss: 0.0685 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0216 36/82 [============>.................] - ETA: 0s - loss: 0.0742 72/82 [=========================>....] - ETA: 0s - loss: 0.0649 82/82 [==============================] - 0s 1ms/step - loss: 0.0613 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0418 40/82 [=============>................] - ETA: 0s - loss: 0.0740 79/82 [===========================>..] - ETA: 0s - loss: 0.0610 82/82 [==============================] - 0s 1ms/step - loss: 0.0596 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0046 40/82 [=============>................] - ETA: 0s - loss: 0.0559 76/82 [==========================>...] - ETA: 0s - loss: 0.0578 82/82 [==============================] - 0s 1ms/step - loss: 0.0576 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0487 39/82 [=============>................] - ETA: 0s - loss: 0.0413 78/82 [===========================>..] - ETA: 0s - loss: 0.0567 82/82 [==============================] - 0s 1ms/step - loss: 0.0557 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1747 38/82 [============>.................] - ETA: 0s - loss: 0.0456 76/82 [==========================>...] - ETA: 0s - loss: 0.0506 82/82 [==============================] - 0s 1ms/step - loss: 0.0545 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 3.9321e-04 39/82 [=============>................] - ETA: 0s - loss: 0.0474  77/82 [===========================>..] - ETA: 0s - loss: 0.0509 82/82 [==============================] - 0s 1ms/step - loss: 0.0520 -> test with GAN.predict GAN tn, fp: 188, 17 GAN fn, tp: 6, 3 GAN f1 score: 0.207 GAN cohens kappa score: 0.158 -> test with 'LR' LR tn, fp: 176, 29 LR fn, tp: 2, 7 LR f1 score: 0.311 LR cohens kappa score: 0.261 LR average precision score: 0.247 -> test with 'RF' RF tn, fp: 198, 7 RF fn, tp: 6, 3 RF f1 score: 0.316 RF cohens kappa score: 0.284 -> test with 'GB' GB tn, fp: 198, 7 GB fn, tp: 5, 4 GB f1 score: 0.400 GB cohens kappa score: 0.371 -> test with 'KNN' KNN tn, fp: 181, 24 KNN fn, tp: 5, 4 KNN f1 score: 0.216 KNN cohens kappa score: 0.163 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0052 40/82 [=============>................] - ETA: 0s - loss: 0.0727  79/82 [===========================>..] - ETA: 0s - loss: 0.0901 82/82 [==============================] - 0s 1ms/step - loss: 0.0927 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2623 40/82 [=============>................] - ETA: 0s - loss: 0.0968 78/82 [===========================>..] - ETA: 0s - loss: 0.0850 82/82 [==============================] - 0s 1ms/step - loss: 0.0826 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0177 39/82 [=============>................] - ETA: 0s - loss: 0.0621 78/82 [===========================>..] - ETA: 0s - loss: 0.0757 82/82 [==============================] - 0s 1ms/step - loss: 0.0737 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0381 39/82 [=============>................] - ETA: 0s - loss: 0.0703 70/82 [========================>.....] - ETA: 0s - loss: 0.0689 82/82 [==============================] - 0s 1ms/step - loss: 0.0704 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.1204 32/82 [==========>...................] - ETA: 0s - loss: 0.0670 67/82 [=======================>......] - ETA: 0s - loss: 0.0634 82/82 [==============================] - 0s 1ms/step - loss: 0.0668 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0552 39/82 [=============>................] - ETA: 0s - loss: 0.0612 77/82 [===========================>..] - ETA: 0s - loss: 0.0666 82/82 [==============================] - 0s 1ms/step - loss: 0.0647 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0087 38/82 [============>.................] - ETA: 0s - loss: 0.0716 72/82 [=========================>....] - ETA: 0s - loss: 0.0678 82/82 [==============================] - 0s 1ms/step - loss: 0.0635 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0171 37/82 [============>.................] - ETA: 0s - loss: 0.0423 76/82 [==========================>...] - ETA: 0s - loss: 0.0580 82/82 [==============================] - 0s 1ms/step - loss: 0.0651 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0041 39/82 [=============>................] - ETA: 0s - loss: 0.0520 79/82 [===========================>..] - ETA: 0s - loss: 0.0595 82/82 [==============================] - 0s 1ms/step - loss: 0.0604 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0612 37/82 [============>.................] - ETA: 0s - loss: 0.0514 75/82 [==========================>...] - ETA: 0s - loss: 0.0569 82/82 [==============================] - 0s 1ms/step - loss: 0.0578 -> test with GAN.predict GAN tn, fp: 200, 5 GAN fn, tp: 9, 0 GAN f1 score: 0.000 GAN cohens kappa score: -0.031 -> test with 'LR' LR tn, fp: 192, 13 LR fn, tp: 3, 6 LR f1 score: 0.429 LR cohens kappa score: 0.394 LR average precision score: 0.349 -> test with 'RF' RF tn, fp: 203, 2 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.016 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.016 -> test with 'KNN' KNN tn, fp: 193, 12 KNN fn, tp: 3, 6 KNN f1 score: 0.444 KNN cohens kappa score: 0.411 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 17s - loss: 0.0037 35/82 [===========>..................] - ETA: 0s - loss: 0.1026  72/82 [=========================>....] - ETA: 0s - loss: 0.1239 82/82 [==============================] - 0s 1ms/step - loss: 0.1159 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0139 41/82 [==============>...............] - ETA: 0s - loss: 0.0810 79/82 [===========================>..] - ETA: 0s - loss: 0.1006 82/82 [==============================] - 0s 1ms/step - loss: 0.0980 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0038 37/82 [============>.................] - ETA: 0s - loss: 0.1350 74/82 [==========================>...] - ETA: 0s - loss: 0.0876 82/82 [==============================] - 0s 1ms/step - loss: 0.0884 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.3633 40/82 [=============>................] - ETA: 0s - loss: 0.0608 78/82 [===========================>..] - ETA: 0s - loss: 0.0770 82/82 [==============================] - 0s 1ms/step - loss: 0.0776 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0072 40/82 [=============>................] - ETA: 0s - loss: 0.0581 79/82 [===========================>..] - ETA: 0s - loss: 0.0782 82/82 [==============================] - 0s 1ms/step - loss: 0.0761 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1112 35/82 [===========>..................] - ETA: 0s - loss: 0.0656 67/82 [=======================>......] - ETA: 0s - loss: 0.0617 82/82 [==============================] - 0s 2ms/step - loss: 0.0709 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0160 36/82 [============>.................] - ETA: 0s - loss: 0.0610 75/82 [==========================>...] - ETA: 0s - loss: 0.0692 82/82 [==============================] - 0s 1ms/step - loss: 0.0684 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0055 39/82 [=============>................] - ETA: 0s - loss: 0.0648 78/82 [===========================>..] - ETA: 0s - loss: 0.0673 82/82 [==============================] - 0s 1ms/step - loss: 0.0680 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0483 39/82 [=============>................] - ETA: 0s - loss: 0.0670 66/82 [=======================>......] - ETA: 0s - loss: 0.0701 82/82 [==============================] - 0s 2ms/step - loss: 0.0644 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 6.7240e-04 27/82 [========>.....................] - ETA: 0s - loss: 0.0380  57/82 [===================>..........] - ETA: 0s - loss: 0.0398 82/82 [==============================] - 0s 2ms/step - loss: 0.0605 -> test with GAN.predict GAN tn, fp: 201, 4 GAN fn, tp: 5, 4 GAN f1 score: 0.471 GAN cohens kappa score: 0.449 -> test with 'LR' LR tn, fp: 191, 14 LR fn, tp: 5, 4 LR f1 score: 0.296 LR cohens kappa score: 0.254 LR average precision score: 0.235 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.008 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.016 -> test with 'KNN' KNN tn, fp: 193, 12 KNN fn, tp: 4, 5 KNN f1 score: 0.385 KNN cohens kappa score: 0.349 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 10s - loss: 0.1932 42/82 [==============>...............] - ETA: 0s - loss: 0.0973  82/82 [==============================] - ETA: 0s - loss: 0.0825 82/82 [==============================] - 0s 1ms/step - loss: 0.0825 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0142 41/82 [==============>...............] - ETA: 0s - loss: 0.0651 81/82 [============================>.] - ETA: 0s - loss: 0.0878 82/82 [==============================] - 0s 1ms/step - loss: 0.0871 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0390 43/82 [==============>...............] - ETA: 0s - loss: 0.0610 82/82 [==============================] - 0s 1ms/step - loss: 0.0726 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0140 39/82 [=============>................] - ETA: 0s - loss: 0.0762 80/82 [============================>.] - ETA: 0s - loss: 0.0699 82/82 [==============================] - 0s 1ms/step - loss: 0.0688 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0262 36/82 [============>.................] - ETA: 0s - loss: 0.0651 68/82 [=======================>......] - ETA: 0s - loss: 0.0651 82/82 [==============================] - 0s 1ms/step - loss: 0.0652 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0768 36/82 [============>.................] - ETA: 0s - loss: 0.0382 70/82 [========================>.....] - ETA: 0s - loss: 0.0578 82/82 [==============================] - 0s 1ms/step - loss: 0.0631 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0057 43/82 [==============>...............] - ETA: 0s - loss: 0.0637 82/82 [==============================] - 0s 1ms/step - loss: 0.0627 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0868 35/82 [===========>..................] - ETA: 0s - loss: 0.0562 69/82 [========================>.....] - ETA: 0s - loss: 0.0556 82/82 [==============================] - 0s 1ms/step - loss: 0.0618 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.1293 41/82 [==============>...............] - ETA: 0s - loss: 0.0505 82/82 [==============================] - ETA: 0s - loss: 0.0589 82/82 [==============================] - 0s 1ms/step - loss: 0.0589 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0122 35/82 [===========>..................] - ETA: 0s - loss: 0.0657 70/82 [========================>.....] - ETA: 0s - loss: 0.0563 82/82 [==============================] - 0s 1ms/step - loss: 0.0585 -> test with GAN.predict GAN tn, fp: 194, 9 GAN fn, tp: 5, 2 GAN f1 score: 0.222 GAN cohens kappa score: 0.189 -> test with 'LR' LR tn, fp: 173, 30 LR fn, tp: 2, 5 LR f1 score: 0.238 LR cohens kappa score: 0.193 LR average precision score: 0.265 -> test with 'RF' RF tn, fp: 196, 7 RF fn, tp: 6, 1 RF f1 score: 0.133 RF cohens kappa score: 0.101 -> test with 'GB' GB tn, fp: 198, 5 GB fn, tp: 5, 2 GB f1 score: 0.286 GB cohens kappa score: 0.261 -> test with 'KNN' KNN tn, fp: 184, 19 KNN fn, tp: 6, 1 KNN f1 score: 0.074 KNN cohens kappa score: 0.026 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 12s - loss: 0.1829 40/82 [=============>................] - ETA: 0s - loss: 0.0839  78/82 [===========================>..] - ETA: 0s - loss: 0.0744 82/82 [==============================] - 0s 1ms/step - loss: 0.0723 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0609 40/82 [=============>................] - ETA: 0s - loss: 0.0590 77/82 [===========================>..] - ETA: 0s - loss: 0.0710 82/82 [==============================] - 0s 1ms/step - loss: 0.0736 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1760 31/82 [==========>...................] - ETA: 0s - loss: 0.0735 69/82 [========================>.....] - ETA: 0s - loss: 0.0699 82/82 [==============================] - 0s 1ms/step - loss: 0.0677 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0041 39/82 [=============>................] - ETA: 0s - loss: 0.0491 76/82 [==========================>...] - ETA: 0s - loss: 0.0681 82/82 [==============================] - 0s 1ms/step - loss: 0.0651 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0339 40/82 [=============>................] - ETA: 0s - loss: 0.0549 77/82 [===========================>..] - ETA: 0s - loss: 0.0640 82/82 [==============================] - 0s 1ms/step - loss: 0.0638 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.1011 41/82 [==============>...............] - ETA: 0s - loss: 0.0559 80/82 [============================>.] - ETA: 0s - loss: 0.0616 82/82 [==============================] - 0s 1ms/step - loss: 0.0611 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0458 40/82 [=============>................] - ETA: 0s - loss: 0.0687 78/82 [===========================>..] - ETA: 0s - loss: 0.0595 82/82 [==============================] - 0s 1ms/step - loss: 0.0584 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0497 40/82 [=============>................] - ETA: 0s - loss: 0.0616 79/82 [===========================>..] - ETA: 0s - loss: 0.0583 82/82 [==============================] - 0s 1ms/step - loss: 0.0584 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0056 41/82 [==============>...............] - ETA: 0s - loss: 0.0506 80/82 [============================>.] - ETA: 0s - loss: 0.0550 82/82 [==============================] - 0s 1ms/step - loss: 0.0571 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1359 37/82 [============>.................] - ETA: 0s - loss: 0.0505 74/82 [==========================>...] - ETA: 0s - loss: 0.0536 82/82 [==============================] - 0s 1ms/step - loss: 0.0559 -> test with GAN.predict GAN tn, fp: 195, 10 GAN fn, tp: 7, 2 GAN f1 score: 0.190 GAN cohens kappa score: 0.150 -> test with 'LR' LR tn, fp: 184, 21 LR fn, tp: 4, 5 LR f1 score: 0.286 LR cohens kappa score: 0.238 LR average precision score: 0.193 -> test with 'RF' RF tn, fp: 199, 6 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.035 -> test with 'GB' GB tn, fp: 201, 4 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.027 -> test with 'KNN' KNN tn, fp: 187, 18 KNN fn, tp: 4, 5 KNN f1 score: 0.312 KNN cohens kappa score: 0.268 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 16s - loss: 0.6266 40/82 [=============>................] - ETA: 0s - loss: 0.1282  79/82 [===========================>..] - ETA: 0s - loss: 0.1283 82/82 [==============================] - 0s 1ms/step - loss: 0.1288 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0124 33/82 [===========>..................] - ETA: 0s - loss: 0.1148 66/82 [=======================>......] - ETA: 0s - loss: 0.0942 82/82 [==============================] - 0s 2ms/step - loss: 0.0895 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0287 38/82 [============>.................] - ETA: 0s - loss: 0.0858 74/82 [==========================>...] - ETA: 0s - loss: 0.0725 82/82 [==============================] - 0s 1ms/step - loss: 0.0726 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0277 39/82 [=============>................] - ETA: 0s - loss: 0.0621 76/82 [==========================>...] - ETA: 0s - loss: 0.0672 82/82 [==============================] - 0s 1ms/step - loss: 0.0642 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0913 30/82 [=========>....................] - ETA: 0s - loss: 0.0408 66/82 [=======================>......] - ETA: 0s - loss: 0.0600 82/82 [==============================] - 0s 2ms/step - loss: 0.0607 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0193 37/82 [============>.................] - ETA: 0s - loss: 0.0508 74/82 [==========================>...] - ETA: 0s - loss: 0.0558 82/82 [==============================] - 0s 1ms/step - loss: 0.0595 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0173 39/82 [=============>................] - ETA: 0s - loss: 0.0625 79/82 [===========================>..] - ETA: 0s - loss: 0.0579 82/82 [==============================] - 0s 1ms/step - loss: 0.0565 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0132 38/82 [============>.................] - ETA: 0s - loss: 0.0579 76/82 [==========================>...] - ETA: 0s - loss: 0.0586 82/82 [==============================] - 0s 1ms/step - loss: 0.0557 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0145 38/82 [============>.................] - ETA: 0s - loss: 0.0633 76/82 [==========================>...] - ETA: 0s - loss: 0.0564 82/82 [==============================] - 0s 1ms/step - loss: 0.0548 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0043 39/82 [=============>................] - ETA: 0s - loss: 0.0602 76/82 [==========================>...] - ETA: 0s - loss: 0.0572 82/82 [==============================] - 0s 1ms/step - loss: 0.0540 -> test with GAN.predict GAN tn, fp: 204, 1 GAN fn, tp: 8, 1 GAN f1 score: 0.182 GAN cohens kappa score: 0.169 -> test with 'LR' LR tn, fp: 193, 12 LR fn, tp: 4, 5 LR f1 score: 0.385 LR cohens kappa score: 0.349 LR average precision score: 0.605 -> test with 'RF' RF tn, fp: 202, 3 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.021 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 7, 2 GB f1 score: 0.333 GB cohens kappa score: 0.319 -> test with 'KNN' KNN tn, fp: 195, 10 KNN fn, tp: 7, 2 KNN f1 score: 0.190 KNN cohens kappa score: 0.150 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 16s - loss: 0.0012 33/82 [===========>..................] - ETA: 0s - loss: 0.1523  66/82 [=======================>......] - ETA: 0s - loss: 0.1430 82/82 [==============================] - 0s 2ms/step - loss: 0.1447 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 3.5356e-04 35/82 [===========>..................] - ETA: 0s - loss: 0.0473  67/82 [=======================>......] - ETA: 0s - loss: 0.0747 82/82 [==============================] - 0s 2ms/step - loss: 0.0968 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0321 34/82 [===========>..................] - ETA: 0s - loss: 0.0810 68/82 [=======================>......] - ETA: 0s - loss: 0.0638 82/82 [==============================] - 0s 2ms/step - loss: 0.0828 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0073 38/82 [============>.................] - ETA: 0s - loss: 0.0786 77/82 [===========================>..] - ETA: 0s - loss: 0.0789 82/82 [==============================] - 0s 1ms/step - loss: 0.0794 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0109 34/82 [===========>..................] - ETA: 0s - loss: 0.0736 67/82 [=======================>......] - ETA: 0s - loss: 0.0788 82/82 [==============================] - 0s 2ms/step - loss: 0.0676 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0711 34/82 [===========>..................] - ETA: 0s - loss: 0.0743 70/82 [========================>.....] - ETA: 0s - loss: 0.0664 82/82 [==============================] - 0s 1ms/step - loss: 0.0656 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0047 40/82 [=============>................] - ETA: 0s - loss: 0.0709 79/82 [===========================>..] - ETA: 0s - loss: 0.0655 82/82 [==============================] - 0s 1ms/step - loss: 0.0653 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0135 34/82 [===========>..................] - ETA: 0s - loss: 0.0634 69/82 [========================>.....] - ETA: 0s - loss: 0.0616 82/82 [==============================] - 0s 1ms/step - loss: 0.0603 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0621 39/82 [=============>................] - ETA: 0s - loss: 0.0494 71/82 [========================>.....] - ETA: 0s - loss: 0.0606 82/82 [==============================] - 0s 1ms/step - loss: 0.0591 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0347 35/82 [===========>..................] - ETA: 0s - loss: 0.0670 70/82 [========================>.....] - ETA: 0s - loss: 0.0657 82/82 [==============================] - 0s 1ms/step - loss: 0.0595 -> test with GAN.predict GAN tn, fp: 201, 4 GAN fn, tp: 5, 4 GAN f1 score: 0.471 GAN cohens kappa score: 0.449 -> test with 'LR' LR tn, fp: 184, 21 LR fn, tp: 4, 5 LR f1 score: 0.286 LR cohens kappa score: 0.238 LR average precision score: 0.271 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 7, 2 RF f1 score: 0.333 RF cohens kappa score: 0.319 -> test with 'GB' GB tn, fp: 204, 1 GB fn, tp: 8, 1 GB f1 score: 0.182 GB cohens kappa score: 0.169 -> test with 'KNN' KNN tn, fp: 187, 18 KNN fn, tp: 5, 4 KNN f1 score: 0.258 KNN cohens kappa score: 0.211 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 14s - loss: 0.3983 37/82 [============>.................] - ETA: 0s - loss: 0.0823  77/82 [===========================>..] - ETA: 0s - loss: 0.0864 82/82 [==============================] - 0s 1ms/step - loss: 0.0915 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0286 40/82 [=============>................] - ETA: 0s - loss: 0.0758 78/82 [===========================>..] - ETA: 0s - loss: 0.0743 82/82 [==============================] - 0s 1ms/step - loss: 0.0818 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1552 40/82 [=============>................] - ETA: 0s - loss: 0.0738 81/82 [============================>.] - ETA: 0s - loss: 0.0776 82/82 [==============================] - 0s 1ms/step - loss: 0.0768 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0011 37/82 [============>.................] - ETA: 0s - loss: 0.0903 76/82 [==========================>...] - ETA: 0s - loss: 0.0777 82/82 [==============================] - 0s 1ms/step - loss: 0.0769 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0173 39/82 [=============>................] - ETA: 0s - loss: 0.0683 76/82 [==========================>...] - ETA: 0s - loss: 0.0705 82/82 [==============================] - 0s 1ms/step - loss: 0.0740 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0298 38/82 [============>.................] - ETA: 0s - loss: 0.0484 76/82 [==========================>...] - ETA: 0s - loss: 0.0705 82/82 [==============================] - 0s 1ms/step - loss: 0.0701 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2012 39/82 [=============>................] - ETA: 0s - loss: 0.0617 77/82 [===========================>..] - ETA: 0s - loss: 0.0665 82/82 [==============================] - 0s 1ms/step - loss: 0.0696 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0641 37/82 [============>.................] - ETA: 0s - loss: 0.0627 71/82 [========================>.....] - ETA: 0s - loss: 0.0684 82/82 [==============================] - 0s 2ms/step - loss: 0.0689 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0588 34/82 [===========>..................] - ETA: 0s - loss: 0.0664 72/82 [=========================>....] - ETA: 0s - loss: 0.0707 82/82 [==============================] - 0s 1ms/step - loss: 0.0679 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0086 39/82 [=============>................] - ETA: 0s - loss: 0.0703 71/82 [========================>.....] - ETA: 0s - loss: 0.0626 82/82 [==============================] - 0s 1ms/step - loss: 0.0651 -> test with GAN.predict GAN tn, fp: 196, 9 GAN fn, tp: 7, 2 GAN f1 score: 0.200 GAN cohens kappa score: 0.161 -> test with 'LR' LR tn, fp: 179, 26 LR fn, tp: 1, 8 LR f1 score: 0.372 LR cohens kappa score: 0.327 LR average precision score: 0.395 -> test with 'RF' RF tn, fp: 203, 2 RF fn, tp: 7, 2 RF f1 score: 0.308 RF cohens kappa score: 0.289 -> test with 'GB' GB tn, fp: 203, 2 GB fn, tp: 7, 2 GB f1 score: 0.308 GB cohens kappa score: 0.289 -> test with 'KNN' KNN tn, fp: 190, 15 KNN fn, tp: 5, 4 KNN f1 score: 0.286 KNN cohens kappa score: 0.242 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 10s - loss: 0.0057 41/82 [==============>...............] - ETA: 0s - loss: 0.0850  82/82 [==============================] - ETA: 0s - loss: 0.1001 82/82 [==============================] - 0s 1ms/step - loss: 0.1001 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0078 39/82 [=============>................] - ETA: 0s - loss: 0.1064 79/82 [===========================>..] - ETA: 0s - loss: 0.0857 82/82 [==============================] - 0s 1ms/step - loss: 0.0886 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1584 41/82 [==============>...............] - ETA: 0s - loss: 0.0835 82/82 [==============================] - ETA: 0s - loss: 0.0780 82/82 [==============================] - 0s 1ms/step - loss: 0.0780 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0074 42/82 [==============>...............] - ETA: 0s - loss: 0.0654 80/82 [============================>.] - ETA: 0s - loss: 0.0764 82/82 [==============================] - 0s 1ms/step - loss: 0.0751 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0660 35/82 [===========>..................] - ETA: 0s - loss: 0.0914 71/82 [========================>.....] - ETA: 0s - loss: 0.0777 82/82 [==============================] - 0s 1ms/step - loss: 0.0707 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0105 37/82 [============>.................] - ETA: 0s - loss: 0.0771 79/82 [===========================>..] - ETA: 0s - loss: 0.0739 82/82 [==============================] - 0s 1ms/step - loss: 0.0742 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0227 40/82 [=============>................] - ETA: 0s - loss: 0.0666 81/82 [============================>.] - ETA: 0s - loss: 0.0716 82/82 [==============================] - 0s 1ms/step - loss: 0.0708 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0257 42/82 [==============>...............] - ETA: 0s - loss: 0.0460 82/82 [==============================] - 0s 1ms/step - loss: 0.0617 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0987 41/82 [==============>...............] - ETA: 0s - loss: 0.0628 80/82 [============================>.] - ETA: 0s - loss: 0.0642 82/82 [==============================] - 0s 1ms/step - loss: 0.0645 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.1820 42/82 [==============>...............] - ETA: 0s - loss: 0.0602 82/82 [==============================] - ETA: 0s - loss: 0.0622 82/82 [==============================] - 0s 1ms/step - loss: 0.0622 -> test with GAN.predict GAN tn, fp: 194, 9 GAN fn, tp: 4, 3 GAN f1 score: 0.316 GAN cohens kappa score: 0.286 -> test with 'LR' LR tn, fp: 186, 17 LR fn, tp: 1, 6 LR f1 score: 0.400 LR cohens kappa score: 0.368 LR average precision score: 0.434 -> test with 'RF' RF tn, fp: 201, 2 RF fn, tp: 7, 0 RF f1 score: 0.000 RF cohens kappa score: -0.015 -> test with 'GB' GB tn, fp: 203, 0 GB fn, tp: 6, 1 GB f1 score: 0.250 GB cohens kappa score: 0.244 -> test with 'KNN' KNN tn, fp: 188, 15 KNN fn, tp: 4, 3 KNN f1 score: 0.240 KNN cohens kappa score: 0.202 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.2794 41/82 [==============>...............] - ETA: 0s - loss: 0.1009  80/82 [============================>.] - ETA: 0s - loss: 0.0990 82/82 [==============================] - 0s 1ms/step - loss: 0.0969 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0034 36/82 [============>.................] - ETA: 0s - loss: 0.0785 72/82 [=========================>....] - ETA: 0s - loss: 0.0782 82/82 [==============================] - 0s 1ms/step - loss: 0.0924 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0346 40/82 [=============>................] - ETA: 0s - loss: 0.0968 77/82 [===========================>..] - ETA: 0s - loss: 0.0837 82/82 [==============================] - 0s 1ms/step - loss: 0.0855 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0310 38/82 [============>.................] - ETA: 0s - loss: 0.0741 76/82 [==========================>...] - ETA: 0s - loss: 0.0670 82/82 [==============================] - 0s 1ms/step - loss: 0.0738 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0087 37/82 [============>.................] - ETA: 0s - loss: 0.0960 76/82 [==========================>...] - ETA: 0s - loss: 0.0711 82/82 [==============================] - 0s 1ms/step - loss: 0.0717 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0372 41/82 [==============>...............] - ETA: 0s - loss: 0.0554 80/82 [============================>.] - ETA: 0s - loss: 0.0702 82/82 [==============================] - 0s 1ms/step - loss: 0.0701 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0333 40/82 [=============>................] - ETA: 0s - loss: 0.0656 79/82 [===========================>..] - ETA: 0s - loss: 0.0666 82/82 [==============================] - 0s 1ms/step - loss: 0.0687 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0360 40/82 [=============>................] - ETA: 0s - loss: 0.0518 77/82 [===========================>..] - ETA: 0s - loss: 0.0694 82/82 [==============================] - 0s 1ms/step - loss: 0.0703 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0068 41/82 [==============>...............] - ETA: 0s - loss: 0.0560 79/82 [===========================>..] - ETA: 0s - loss: 0.0633 82/82 [==============================] - 0s 1ms/step - loss: 0.0650 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0881 40/82 [=============>................] - ETA: 0s - loss: 0.0611 80/82 [============================>.] - ETA: 0s - loss: 0.0636 82/82 [==============================] - 0s 1ms/step - loss: 0.0627 -> test with GAN.predict GAN tn, fp: 192, 13 GAN fn, tp: 5, 4 GAN f1 score: 0.308 GAN cohens kappa score: 0.267 -> test with 'LR' LR tn, fp: 184, 21 LR fn, tp: 5, 4 LR f1 score: 0.235 LR cohens kappa score: 0.185 LR average precision score: 0.264 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 8, 1 RF f1 score: 0.182 RF cohens kappa score: 0.169 -> test with 'GB' GB tn, fp: 202, 3 GB fn, tp: 8, 1 GB f1 score: 0.154 GB cohens kappa score: 0.131 -> test with 'KNN' KNN tn, fp: 186, 19 KNN fn, tp: 2, 7 KNN f1 score: 0.400 KNN cohens kappa score: 0.360 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 0.0209 40/82 [=============>................] - ETA: 0s - loss: 0.0778  79/82 [===========================>..] - ETA: 0s - loss: 0.0774 82/82 [==============================] - 0s 1ms/step - loss: 0.0754 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0220 39/82 [=============>................] - ETA: 0s - loss: 0.0636 78/82 [===========================>..] - ETA: 0s - loss: 0.0711 82/82 [==============================] - 0s 1ms/step - loss: 0.0691 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0660 39/82 [=============>................] - ETA: 0s - loss: 0.0722 74/82 [==========================>...] - ETA: 0s - loss: 0.0647 82/82 [==============================] - 0s 1ms/step - loss: 0.0651 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0248 38/82 [============>.................] - ETA: 0s - loss: 0.0669 78/82 [===========================>..] - ETA: 0s - loss: 0.0707 82/82 [==============================] - 0s 1ms/step - loss: 0.0684 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0220 40/82 [=============>................] - ETA: 0s - loss: 0.0714 77/82 [===========================>..] - ETA: 0s - loss: 0.0647 82/82 [==============================] - 0s 1ms/step - loss: 0.0662 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.2651 40/82 [=============>................] - ETA: 0s - loss: 0.0773 79/82 [===========================>..] - ETA: 0s - loss: 0.0674 82/82 [==============================] - 0s 1ms/step - loss: 0.0664 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0222 39/82 [=============>................] - ETA: 0s - loss: 0.0674 69/82 [========================>.....] - ETA: 0s - loss: 0.0609 82/82 [==============================] - 0s 1ms/step - loss: 0.0647 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2348 35/82 [===========>..................] - ETA: 0s - loss: 0.0670 68/82 [=======================>......] - ETA: 0s - loss: 0.0671 82/82 [==============================] - 0s 2ms/step - loss: 0.0667 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0037 35/82 [===========>..................] - ETA: 0s - loss: 0.0732 71/82 [========================>.....] - ETA: 0s - loss: 0.0635 82/82 [==============================] - 0s 1ms/step - loss: 0.0645 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.3478 38/82 [============>.................] - ETA: 0s - loss: 0.0650 76/82 [==========================>...] - ETA: 0s - loss: 0.0675 82/82 [==============================] - 0s 1ms/step - loss: 0.0652 -> test with GAN.predict GAN tn, fp: 199, 6 GAN fn, tp: 9, 0 GAN f1 score: 0.000 GAN cohens kappa score: -0.035 -> test with 'LR' LR tn, fp: 184, 21 LR fn, tp: 3, 6 LR f1 score: 0.333 LR cohens kappa score: 0.288 LR average precision score: 0.360 -> test with 'RF' RF tn, fp: 204, 1 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.008 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: 0.000 -> test with 'KNN' KNN tn, fp: 184, 21 KNN fn, tp: 3, 6 KNN f1 score: 0.333 KNN cohens kappa score: 0.288 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 13s - loss: 8.8213e-04 41/82 [==============>...............] - ETA: 0s - loss: 0.1870  80/82 [============================>.] - ETA: 0s - loss: 0.1391 82/82 [==============================] - 0s 1ms/step - loss: 0.1381 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.9977 41/82 [==============>...............] - ETA: 0s - loss: 0.1080 81/82 [============================>.] - ETA: 0s - loss: 0.1146 82/82 [==============================] - 0s 1ms/step - loss: 0.1135 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.4322 40/82 [=============>................] - ETA: 0s - loss: 0.1053 79/82 [===========================>..] - ETA: 0s - loss: 0.1006 82/82 [==============================] - 0s 1ms/step - loss: 0.0995 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.2067 41/82 [==============>...............] - ETA: 0s - loss: 0.0936 80/82 [============================>.] - ETA: 0s - loss: 0.0899 82/82 [==============================] - 0s 1ms/step - loss: 0.0889 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0247 40/82 [=============>................] - ETA: 0s - loss: 0.0783 80/82 [============================>.] - ETA: 0s - loss: 0.0873 82/82 [==============================] - 0s 1ms/step - loss: 0.0867 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 7.2989e-04 38/82 [============>.................] - ETA: 0s - loss: 0.0860  74/82 [==========================>...] - ETA: 0s - loss: 0.0801 82/82 [==============================] - 0s 1ms/step - loss: 0.0788 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2191 38/82 [============>.................] - ETA: 0s - loss: 0.0736 78/82 [===========================>..] - ETA: 0s - loss: 0.0773 82/82 [==============================] - 0s 1ms/step - loss: 0.0759 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.1451 40/82 [=============>................] - ETA: 0s - loss: 0.0645 81/82 [============================>.] - ETA: 0s - loss: 0.0740 82/82 [==============================] - 0s 1ms/step - loss: 0.0764 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0011 40/82 [=============>................] - ETA: 0s - loss: 0.0891 76/82 [==========================>...] - ETA: 0s - loss: 0.0751 82/82 [==============================] - 0s 1ms/step - loss: 0.0702 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0140 37/82 [============>.................] - ETA: 0s - loss: 0.0704 73/82 [=========================>....] - ETA: 0s - loss: 0.0711 82/82 [==============================] - 0s 1ms/step - loss: 0.0693 -> test with GAN.predict GAN tn, fp: 200, 5 GAN fn, tp: 7, 2 GAN f1 score: 0.250 GAN cohens kappa score: 0.221 -> test with 'LR' LR tn, fp: 183, 22 LR fn, tp: 0, 9 LR f1 score: 0.450 LR cohens kappa score: 0.412 LR average precision score: 0.503 -> test with 'RF' RF tn, fp: 205, 0 RF fn, tp: 8, 1 RF f1 score: 0.200 RF cohens kappa score: 0.193 -> test with 'GB' GB tn, fp: 205, 0 GB fn, tp: 8, 1 GB f1 score: 0.200 GB cohens kappa score: 0.193 -> test with 'KNN' KNN tn, fp: 194, 11 KNN fn, tp: 6, 3 KNN f1 score: 0.261 KNN cohens kappa score: 0.221 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 14s - loss: 0.0098 40/82 [=============>................] - ETA: 0s - loss: 0.0968  78/82 [===========================>..] - ETA: 0s - loss: 0.0973 82/82 [==============================] - 0s 1ms/step - loss: 0.0951 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.2358 40/82 [=============>................] - ETA: 0s - loss: 0.0690 75/82 [==========================>...] - ETA: 0s - loss: 0.0809 82/82 [==============================] - 0s 1ms/step - loss: 0.0787 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.0823 40/82 [=============>................] - ETA: 0s - loss: 0.0647 80/82 [============================>.] - ETA: 0s - loss: 0.0699 82/82 [==============================] - 0s 1ms/step - loss: 0.0696 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0059 41/82 [==============>...............] - ETA: 0s - loss: 0.0492 80/82 [============================>.] - ETA: 0s - loss: 0.0657 82/82 [==============================] - 0s 1ms/step - loss: 0.0672 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0095 39/82 [=============>................] - ETA: 0s - loss: 0.0551 77/82 [===========================>..] - ETA: 0s - loss: 0.0651 82/82 [==============================] - 0s 1ms/step - loss: 0.0641 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0228 39/82 [=============>................] - ETA: 0s - loss: 0.0565 79/82 [===========================>..] - ETA: 0s - loss: 0.0630 82/82 [==============================] - 0s 1ms/step - loss: 0.0627 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.2187 39/82 [=============>................] - ETA: 0s - loss: 0.0681 77/82 [===========================>..] - ETA: 0s - loss: 0.0628 82/82 [==============================] - 0s 1ms/step - loss: 0.0608 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.0034 40/82 [=============>................] - ETA: 0s - loss: 0.0635 76/82 [==========================>...] - ETA: 0s - loss: 0.0601 82/82 [==============================] - 0s 1ms/step - loss: 0.0567 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0169 35/82 [===========>..................] - ETA: 0s - loss: 0.0453 67/82 [=======================>......] - ETA: 0s - loss: 0.0599 82/82 [==============================] - 0s 2ms/step - loss: 0.0554 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0010 39/82 [=============>................] - ETA: 0s - loss: 0.0451 75/82 [==========================>...] - ETA: 0s - loss: 0.0569 82/82 [==============================] - 0s 1ms/step - loss: 0.0556 -> test with GAN.predict GAN tn, fp: 198, 7 GAN fn, tp: 6, 3 GAN f1 score: 0.316 GAN cohens kappa score: 0.284 -> test with 'LR' LR tn, fp: 195, 10 LR fn, tp: 5, 4 LR f1 score: 0.348 LR cohens kappa score: 0.313 LR average precision score: 0.209 -> test with 'RF' RF tn, fp: 201, 4 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.027 -> test with 'GB' GB tn, fp: 202, 3 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.021 -> test with 'KNN' KNN tn, fp: 197, 8 KNN fn, tp: 6, 3 KNN f1 score: 0.300 KNN cohens kappa score: 0.266 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 784 synthetic samples -> retrain GAN for predict Epoch 1/10 1/82 [..............................] - ETA: 10s - loss: 0.0223 43/82 [==============>...............] - ETA: 0s - loss: 0.1028  82/82 [==============================] - 0s 1ms/step - loss: 0.0828 Epoch 2/10 1/82 [..............................] - ETA: 0s - loss: 0.0533 43/82 [==============>...............] - ETA: 0s - loss: 0.0887 82/82 [==============================] - 0s 1ms/step - loss: 0.0756 Epoch 3/10 1/82 [..............................] - ETA: 0s - loss: 0.1852 43/82 [==============>...............] - ETA: 0s - loss: 0.0566 82/82 [==============================] - 0s 1ms/step - loss: 0.0749 Epoch 4/10 1/82 [..............................] - ETA: 0s - loss: 0.0253 43/82 [==============>...............] - ETA: 0s - loss: 0.0707 82/82 [==============================] - 0s 1ms/step - loss: 0.0698 Epoch 5/10 1/82 [..............................] - ETA: 0s - loss: 0.0063 43/82 [==============>...............] - ETA: 0s - loss: 0.0649 82/82 [==============================] - 0s 1ms/step - loss: 0.0692 Epoch 6/10 1/82 [..............................] - ETA: 0s - loss: 0.0443 44/82 [===============>..............] - ETA: 0s - loss: 0.0624 82/82 [==============================] - 0s 1ms/step - loss: 0.0682 Epoch 7/10 1/82 [..............................] - ETA: 0s - loss: 0.0322 43/82 [==============>...............] - ETA: 0s - loss: 0.0727 82/82 [==============================] - 0s 1ms/step - loss: 0.0651 Epoch 8/10 1/82 [..............................] - ETA: 0s - loss: 0.2224 43/82 [==============>...............] - ETA: 0s - loss: 0.0739 82/82 [==============================] - 0s 1ms/step - loss: 0.0684 Epoch 9/10 1/82 [..............................] - ETA: 0s - loss: 0.0193 44/82 [===============>..............] - ETA: 0s - loss: 0.0583 82/82 [==============================] - 0s 1ms/step - loss: 0.0648 Epoch 10/10 1/82 [..............................] - ETA: 0s - loss: 0.0614 43/82 [==============>...............] - ETA: 0s - loss: 0.0626 82/82 [==============================] - 0s 1ms/step - loss: 0.0615 -> test with GAN.predict GAN tn, fp: 196, 7 GAN fn, tp: 6, 1 GAN f1 score: 0.133 GAN cohens kappa score: 0.101 -> test with 'LR' LR tn, fp: 171, 32 LR fn, tp: 2, 5 LR f1 score: 0.227 LR cohens kappa score: 0.181 LR average precision score: 0.390 -> test with 'RF' RF tn, fp: 196, 7 RF fn, tp: 6, 1 RF f1 score: 0.133 RF cohens kappa score: 0.101 -> test with 'GB' GB tn, fp: 197, 6 GB fn, tp: 5, 2 GB f1 score: 0.267 GB cohens kappa score: 0.240 -> test with 'KNN' KNN tn, fp: 178, 25 KNN fn, tp: 4, 3 KNN f1 score: 0.171 KNN cohens kappa score: 0.125 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 195, 38 LR fn, tp: 8, 9 LR f1 score: 0.545 LR cohens kappa score: 0.516 LR average precision score: 0.820 average: LR tn, fp: 182.76, 21.84 LR fn, tp: 2.8, 5.8 LR f1 score: 0.323 LR cohens kappa score: 0.279 LR average precision score: 0.376 minimum: LR tn, fp: 167, 10 LR fn, tp: 0, 1 LR f1 score: 0.062 LR cohens kappa score: 0.002 LR average precision score: 0.089 -----[ RF ]----- maximum: RF tn, fp: 205, 7 RF fn, tp: 9, 3 RF f1 score: 0.333 RF cohens kappa score: 0.319 average: RF tn, fp: 201.48, 3.12 RF fn, tp: 7.8, 0.8 RF f1 score: 0.120 RF cohens kappa score: 0.099 minimum: RF tn, fp: 196, 0 RF fn, tp: 6, 0 RF f1 score: 0.000 RF cohens kappa score: -0.035 -----[ GB ]----- maximum: GB tn, fp: 205, 7 GB fn, tp: 9, 4 GB f1 score: 0.429 GB cohens kappa score: 0.409 average: GB tn, fp: 202.36, 2.24 GB fn, tp: 7.44, 1.16 GB f1 score: 0.181 GB cohens kappa score: 0.164 minimum: GB tn, fp: 197, 0 GB fn, tp: 4, 0 GB f1 score: 0.000 GB cohens kappa score: -0.027 -----[ KNN ]----- maximum: KNN tn, fp: 198, 39 KNN fn, tp: 7, 7 KNN f1 score: 0.444 KNN cohens kappa score: 0.411 average: KNN tn, fp: 187.56, 17.04 KNN fn, tp: 4.0, 4.6 KNN f1 score: 0.306 KNN cohens kappa score: 0.265 minimum: KNN tn, fp: 166, 7 KNN fn, tp: 1, 1 KNN f1 score: 0.074 KNN cohens kappa score: 0.026 -----[ GAN ]----- maximum: GAN tn, fp: 205, 17 GAN fn, tp: 9, 4 GAN f1 score: 0.471 GAN cohens kappa score: 0.449 average: GAN tn, fp: 197.68, 6.92 GAN fn, tp: 6.6, 2.0 GAN f1 score: 0.223 GAN cohens kappa score: 0.193 minimum: GAN tn, fp: 188, 0 GAN fn, tp: 4, 0 GAN f1 score: 0.000 GAN cohens kappa score: -0.035