/////////////////////////////////////////// // Running convGAN-proximary-5 on folding_hypothyroid /////////////////////////////////////////// Load 'data_input/folding_hypothyroid' from pickle file non empty cut in data_input/folding_hypothyroid! (1 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 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 41s - loss: 0.0591 41/241 [====>.........................] - ETA: 0s - loss: 0.1765  79/241 [========>.....................] - ETA: 0s - loss: 0.1426 118/241 [=============>................] - ETA: 0s - loss: 0.1285 157/241 [==================>...........] - ETA: 0s - loss: 0.1230 198/241 [=======================>......] - ETA: 0s - loss: 0.1192 236/241 [============================>.] - ETA: 0s - loss: 0.1140 241/241 [==============================] - 0s 1ms/step - loss: 0.1131 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0793 40/241 [===>..........................] - ETA: 0s - loss: 0.0880 78/241 [========>.....................] - ETA: 0s - loss: 0.0836 118/241 [=============>................] - ETA: 0s - loss: 0.0818 158/241 [==================>...........] - ETA: 0s - loss: 0.0851 197/241 [=======================>......] - ETA: 0s - loss: 0.0822 232/241 [===========================>..] - ETA: 0s - loss: 0.0798 241/241 [==============================] - 0s 1ms/step - loss: 0.0799 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0766 42/241 [====>.........................] - ETA: 0s - loss: 0.0897 82/241 [=========>....................] - ETA: 0s - loss: 0.0766 122/241 [==============>...............] - ETA: 0s - loss: 0.0776 162/241 [===================>..........] - ETA: 0s - loss: 0.0769 201/241 [========================>.....] - ETA: 0s - loss: 0.0740 240/241 [============================>.] - ETA: 0s - loss: 0.0744 241/241 [==============================] - 0s 1ms/step - loss: 0.0742 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.1192 40/241 [===>..........................] - ETA: 0s - loss: 0.0679 78/241 [========>.....................] - ETA: 0s - loss: 0.0675 115/241 [=============>................] - ETA: 0s - loss: 0.0680 156/241 [==================>...........] - ETA: 0s - loss: 0.0663 193/241 [=======================>......] - ETA: 0s - loss: 0.0701 222/241 [==========================>...] - ETA: 0s - loss: 0.0685 241/241 [==============================] - 0s 1ms/step - loss: 0.0685 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0045 35/241 [===>..........................] - ETA: 0s - loss: 0.0578 72/241 [=======>......................] - ETA: 0s - loss: 0.0646 111/241 [============>.................] - ETA: 0s - loss: 0.0678 150/241 [=================>............] - ETA: 0s - loss: 0.0642 188/241 [======================>.......] - ETA: 0s - loss: 0.0651 227/241 [===========================>..] - ETA: 0s - loss: 0.0693 241/241 [==============================] - 0s 1ms/step - loss: 0.0686 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0489 41/241 [====>.........................] - ETA: 0s - loss: 0.0512 79/241 [========>.....................] - ETA: 0s - loss: 0.0617 116/241 [=============>................] - ETA: 0s - loss: 0.0598 155/241 [==================>...........] - ETA: 0s - loss: 0.0642 196/241 [=======================>......] - ETA: 0s - loss: 0.0678 236/241 [============================>.] - ETA: 0s - loss: 0.0687 241/241 [==============================] - 0s 1ms/step - loss: 0.0691 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0762 41/241 [====>.........................] - ETA: 0s - loss: 0.0579 80/241 [========>.....................] - ETA: 0s - loss: 0.0606 121/241 [==============>...............] - ETA: 0s - loss: 0.0584 159/241 [==================>...........] - ETA: 0s - loss: 0.0642 199/241 [=======================>......] - ETA: 0s - loss: 0.0617 240/241 [============================>.] - ETA: 0s - loss: 0.0608 241/241 [==============================] - 0s 1ms/step - loss: 0.0607 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0445 41/241 [====>.........................] - ETA: 0s - loss: 0.0544 82/241 [=========>....................] - ETA: 0s - loss: 0.0591 123/241 [==============>...............] - ETA: 0s - loss: 0.0612 162/241 [===================>..........] - ETA: 0s - loss: 0.0610 202/241 [========================>.....] - ETA: 0s - loss: 0.0583 241/241 [==============================] - 0s 1ms/step - loss: 0.0605 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0125 42/241 [====>.........................] - ETA: 0s - loss: 0.0694 80/241 [========>.....................] - ETA: 0s - loss: 0.0696 120/241 [=============>................] - ETA: 0s - loss: 0.0756 159/241 [==================>...........] - ETA: 0s - loss: 0.0731 198/241 [=======================>......] - ETA: 0s - loss: 0.0707 238/241 [============================>.] - ETA: 0s - loss: 0.0683 241/241 [==============================] - 0s 1ms/step - loss: 0.0677 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0944 39/241 [===>..........................] - ETA: 0s - loss: 0.0487 79/241 [========>.....................] - ETA: 0s - loss: 0.0521 117/241 [=============>................] - ETA: 0s - loss: 0.0539 154/241 [==================>...........] - ETA: 0s - loss: 0.0545 189/241 [======================>.......] - ETA: 0s - loss: 0.0564 223/241 [==========================>...] - ETA: 0s - loss: 0.0567 241/241 [==============================] - 0s 1ms/step - loss: 0.0564 -> test with GAN.predict GAN tn, fp: 567, 36 GAN fn, tp: 5, 26 GAN f1 score: 0.559 GAN cohens kappa score: 0.528 -> test with 'LR' LR tn, fp: 523, 80 LR fn, tp: 4, 27 LR f1 score: 0.391 LR cohens kappa score: 0.341 LR average precision score: 0.456 -> test with 'RF' RF tn, fp: 600, 3 RF fn, tp: 5, 26 RF f1 score: 0.867 RF cohens kappa score: 0.860 -> test with 'GB' GB tn, fp: 593, 10 GB fn, tp: 4, 27 GB f1 score: 0.794 GB cohens kappa score: 0.783 -> test with 'KNN' KNN tn, fp: 579, 24 KNN fn, tp: 5, 26 KNN f1 score: 0.642 KNN cohens kappa score: 0.619 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 42s - loss: 0.1728 42/241 [====>.........................] - ETA: 0s - loss: 0.1285  82/241 [=========>....................] - ETA: 0s - loss: 0.1122 122/241 [==============>...............] - ETA: 0s - loss: 0.1058 162/241 [===================>..........] - ETA: 0s - loss: 0.1043 203/241 [========================>.....] - ETA: 0s - loss: 0.0987 241/241 [==============================] - 0s 1ms/step - loss: 0.0961 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0629 42/241 [====>.........................] - ETA: 0s - loss: 0.0558 76/241 [========>.....................] - ETA: 0s - loss: 0.0615 115/241 [=============>................] - ETA: 0s - loss: 0.0704 154/241 [==================>...........] - ETA: 0s - loss: 0.0700 190/241 [======================>.......] - ETA: 0s - loss: 0.0769 223/241 [==========================>...] - ETA: 0s - loss: 0.0807 241/241 [==============================] - 0s 1ms/step - loss: 0.0808 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0222 34/241 [===>..........................] - ETA: 0s - loss: 0.0781 74/241 [========>.....................] - ETA: 0s - loss: 0.0670 114/241 [=============>................] - ETA: 0s - loss: 0.0729 150/241 [=================>............] - ETA: 0s - loss: 0.0706 190/241 [======================>.......] - ETA: 0s - loss: 0.0700 230/241 [===========================>..] - ETA: 0s - loss: 0.0654 241/241 [==============================] - 0s 1ms/step - loss: 0.0673 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.1135 42/241 [====>.........................] - ETA: 0s - loss: 0.0559 81/241 [=========>....................] - ETA: 0s - loss: 0.0542 121/241 [==============>...............] - ETA: 0s - loss: 0.0579 161/241 [===================>..........] - ETA: 0s - loss: 0.0633 201/241 [========================>.....] - ETA: 0s - loss: 0.0642 241/241 [==============================] - 0s 1ms/step - loss: 0.0626 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0108 41/241 [====>.........................] - ETA: 0s - loss: 0.0536 82/241 [=========>....................] - ETA: 0s - loss: 0.0489 122/241 [==============>...............] - ETA: 0s - loss: 0.0624 162/241 [===================>..........] - ETA: 0s - loss: 0.0576 199/241 [=======================>......] - ETA: 0s - loss: 0.0589 235/241 [============================>.] - ETA: 0s - loss: 0.0580 241/241 [==============================] - 0s 1ms/step - loss: 0.0578 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0339 36/241 [===>..........................] - ETA: 0s - loss: 0.0637 73/241 [========>.....................] - ETA: 0s - loss: 0.0580 110/241 [============>.................] - ETA: 0s - loss: 0.0541 147/241 [=================>............] - ETA: 0s - loss: 0.0552 185/241 [======================>.......] - ETA: 0s - loss: 0.0568 224/241 [==========================>...] - ETA: 0s - loss: 0.0631 241/241 [==============================] - 0s 1ms/step - loss: 0.0622 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0094 40/241 [===>..........................] - ETA: 0s - loss: 0.0681 81/241 [=========>....................] - ETA: 0s - loss: 0.0611 121/241 [==============>...............] - ETA: 0s - loss: 0.0588 162/241 [===================>..........] - ETA: 0s - loss: 0.0560 200/241 [=======================>......] - ETA: 0s - loss: 0.0556 238/241 [============================>.] - ETA: 0s - loss: 0.0562 241/241 [==============================] - 0s 1ms/step - loss: 0.0564 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0091 40/241 [===>..........................] - ETA: 0s - loss: 0.0693 80/241 [========>.....................] - ETA: 0s - loss: 0.0610 116/241 [=============>................] - ETA: 0s - loss: 0.0575 143/241 [================>.............] - ETA: 0s - loss: 0.0576 161/241 [===================>..........] - ETA: 0s - loss: 0.0547 201/241 [========================>.....] - ETA: 0s - loss: 0.0549 241/241 [==============================] - ETA: 0s - loss: 0.0549 241/241 [==============================] - 0s 1ms/step - loss: 0.0549 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0231 39/241 [===>..........................] - ETA: 0s - loss: 0.0395 63/241 [======>.......................] - ETA: 0s - loss: 0.0505 80/241 [========>.....................] - ETA: 0s - loss: 0.0535 115/241 [=============>................] - ETA: 0s - loss: 0.0495 151/241 [=================>............] - ETA: 0s - loss: 0.0509 188/241 [======================>.......] - ETA: 0s - loss: 0.0534 226/241 [===========================>..] - ETA: 0s - loss: 0.0515 241/241 [==============================] - 0s 2ms/step - loss: 0.0519 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0122 35/241 [===>..........................] - ETA: 0s - loss: 0.0356 75/241 [========>.....................] - ETA: 0s - loss: 0.0450 115/241 [=============>................] - ETA: 0s - loss: 0.0460 151/241 [=================>............] - ETA: 0s - loss: 0.0483 165/241 [===================>..........] - ETA: 0s - loss: 0.0482 195/241 [=======================>......] - ETA: 0s - loss: 0.0499 236/241 [============================>.] - ETA: 0s - loss: 0.0532 241/241 [==============================] - 0s 1ms/step - loss: 0.0532 -> test with GAN.predict GAN tn, fp: 575, 28 GAN fn, tp: 4, 27 GAN f1 score: 0.628 GAN cohens kappa score: 0.603 -> test with 'LR' LR tn, fp: 511, 92 LR fn, tp: 3, 28 LR f1 score: 0.371 LR cohens kappa score: 0.318 LR average precision score: 0.456 -> test with 'RF' RF tn, fp: 594, 9 RF fn, tp: 4, 27 RF f1 score: 0.806 RF cohens kappa score: 0.795 -> test with 'GB' GB tn, fp: 587, 16 GB fn, tp: 2, 29 GB f1 score: 0.763 GB cohens kappa score: 0.749 -> test with 'KNN' KNN tn, fp: 568, 35 KNN fn, tp: 6, 25 KNN f1 score: 0.549 KNN cohens kappa score: 0.518 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 1:24 - loss: 0.6787 41/241 [====>.........................] - ETA: 0s - loss: 0.4816  82/241 [=========>....................] - ETA: 0s - loss: 0.3049 123/241 [==============>...............] - ETA: 0s - loss: 0.2376 164/241 [===================>..........] - ETA: 0s - loss: 0.2025 204/241 [========================>.....] - ETA: 0s - loss: 0.1821 241/241 [==============================] - 1s 1ms/step - loss: 0.1718 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.3753 40/241 [===>..........................] - ETA: 0s - loss: 0.0822 80/241 [========>.....................] - ETA: 0s - loss: 0.0836 120/241 [=============>................] - ETA: 0s - loss: 0.0800 158/241 [==================>...........] - ETA: 0s - loss: 0.0764 198/241 [=======================>......] - ETA: 0s - loss: 0.0844 238/241 [============================>.] - ETA: 0s - loss: 0.0820 241/241 [==============================] - 0s 1ms/step - loss: 0.0818 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0954 39/241 [===>..........................] - ETA: 0s - loss: 0.0461 80/241 [========>.....................] - ETA: 0s - loss: 0.0626 120/241 [=============>................] - ETA: 0s - loss: 0.0637 158/241 [==================>...........] - ETA: 0s - loss: 0.0713 197/241 [=======================>......] - ETA: 0s - loss: 0.0734 237/241 [============================>.] - ETA: 0s - loss: 0.0724 241/241 [==============================] - 0s 1ms/step - loss: 0.0723 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0899 41/241 [====>.........................] - ETA: 0s - loss: 0.0589 75/241 [========>.....................] - ETA: 0s - loss: 0.0596 109/241 [============>.................] - ETA: 0s - loss: 0.0573 142/241 [================>.............] - ETA: 0s - loss: 0.0603 175/241 [====================>.........] - ETA: 0s - loss: 0.0620 215/241 [=========================>....] - ETA: 0s - loss: 0.0663 241/241 [==============================] - 0s 1ms/step - loss: 0.0680 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0146 40/241 [===>..........................] - ETA: 0s - loss: 0.0578 78/241 [========>.....................] - ETA: 0s - loss: 0.0607 114/241 [=============>................] - ETA: 0s - loss: 0.0618 153/241 [==================>...........] - ETA: 0s - loss: 0.0651 192/241 [======================>.......] - ETA: 0s - loss: 0.0664 231/241 [===========================>..] - ETA: 0s - loss: 0.0649 241/241 [==============================] - 0s 1ms/step - loss: 0.0648 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0988 41/241 [====>.........................] - ETA: 0s - loss: 0.0419 82/241 [=========>....................] - ETA: 0s - loss: 0.0523 122/241 [==============>...............] - ETA: 0s - loss: 0.0643 162/241 [===================>..........] - ETA: 0s - loss: 0.0647 202/241 [========================>.....] - ETA: 0s - loss: 0.0645 240/241 [============================>.] - ETA: 0s - loss: 0.0651 241/241 [==============================] - 0s 1ms/step - loss: 0.0656 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0321 41/241 [====>.........................] - ETA: 0s - loss: 0.0564 81/241 [=========>....................] - ETA: 0s - loss: 0.0684 121/241 [==============>...............] - ETA: 0s - loss: 0.0686 159/241 [==================>...........] - ETA: 0s - loss: 0.0698 198/241 [=======================>......] - ETA: 0s - loss: 0.0669 238/241 [============================>.] - ETA: 0s - loss: 0.0644 241/241 [==============================] - 0s 1ms/step - loss: 0.0638 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0038 40/241 [===>..........................] - ETA: 0s - loss: 0.0628 79/241 [========>.....................] - ETA: 0s - loss: 0.0503 117/241 [=============>................] - ETA: 0s - loss: 0.0495 156/241 [==================>...........] - ETA: 0s - loss: 0.0506 196/241 [=======================>......] - ETA: 0s - loss: 0.0551 235/241 [============================>.] - ETA: 0s - loss: 0.0564 241/241 [==============================] - 0s 1ms/step - loss: 0.0565 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0210 41/241 [====>.........................] - ETA: 0s - loss: 0.0465 80/241 [========>.....................] - ETA: 0s - loss: 0.0555 121/241 [==============>...............] - ETA: 0s - loss: 0.0557 159/241 [==================>...........] - ETA: 0s - loss: 0.0582 199/241 [=======================>......] - ETA: 0s - loss: 0.0571 240/241 [============================>.] - ETA: 0s - loss: 0.0582 241/241 [==============================] - 0s 1ms/step - loss: 0.0583 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.2671 40/241 [===>..........................] - ETA: 0s - loss: 0.0659 79/241 [========>.....................] - ETA: 0s - loss: 0.0674 118/241 [=============>................] - ETA: 0s - loss: 0.0667 149/241 [=================>............] - ETA: 0s - loss: 0.0716 187/241 [======================>.......] - ETA: 0s - loss: 0.0679 225/241 [===========================>..] - ETA: 0s - loss: 0.0649 241/241 [==============================] - 0s 1ms/step - loss: 0.0639 -> test with GAN.predict GAN tn, fp: 584, 19 GAN fn, tp: 8, 23 GAN f1 score: 0.630 GAN cohens kappa score: 0.608 -> test with 'LR' LR tn, fp: 507, 96 LR fn, tp: 6, 25 LR f1 score: 0.329 LR cohens kappa score: 0.272 LR average precision score: 0.327 -> test with 'RF' RF tn, fp: 599, 4 RF fn, tp: 7, 24 RF f1 score: 0.814 RF cohens kappa score: 0.804 -> test with 'GB' GB tn, fp: 588, 15 GB fn, tp: 4, 27 GB f1 score: 0.740 GB cohens kappa score: 0.724 -> test with 'KNN' KNN tn, fp: 578, 25 KNN fn, tp: 7, 24 KNN f1 score: 0.600 KNN cohens kappa score: 0.575 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 42s - loss: 0.1303 41/241 [====>.........................] - ETA: 0s - loss: 0.1518  80/241 [========>.....................] - ETA: 0s - loss: 0.1238 119/241 [=============>................] - ETA: 0s - loss: 0.1211 159/241 [==================>...........] - ETA: 0s - loss: 0.1167 199/241 [=======================>......] - ETA: 0s - loss: 0.1130 238/241 [============================>.] - ETA: 0s - loss: 0.1123 241/241 [==============================] - 0s 1ms/step - loss: 0.1120 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0117 39/241 [===>..........................] - ETA: 0s - loss: 0.0667 79/241 [========>.....................] - ETA: 0s - loss: 0.0707 116/241 [=============>................] - ETA: 0s - loss: 0.0798 152/241 [=================>............] - ETA: 0s - loss: 0.0803 191/241 [======================>.......] - ETA: 0s - loss: 0.0824 231/241 [===========================>..] - ETA: 0s - loss: 0.0853 241/241 [==============================] - 0s 1ms/step - loss: 0.0854 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0576 41/241 [====>.........................] - ETA: 0s - loss: 0.0883 81/241 [=========>....................] - ETA: 0s - loss: 0.0768 118/241 [=============>................] - ETA: 0s - loss: 0.0768 151/241 [=================>............] - ETA: 0s - loss: 0.0785 185/241 [======================>.......] - ETA: 0s - loss: 0.0787 222/241 [==========================>...] - ETA: 0s - loss: 0.0766 241/241 [==============================] - 0s 1ms/step - loss: 0.0759 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0223 42/241 [====>.........................] - ETA: 0s - loss: 0.0657 80/241 [========>.....................] - ETA: 0s - loss: 0.0717 119/241 [=============>................] - ETA: 0s - loss: 0.0767 159/241 [==================>...........] - ETA: 0s - loss: 0.0720 199/241 [=======================>......] - ETA: 0s - loss: 0.0749 240/241 [============================>.] - ETA: 0s - loss: 0.0709 241/241 [==============================] - 0s 1ms/step - loss: 0.0711 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.2370 40/241 [===>..........................] - ETA: 0s - loss: 0.0828 81/241 [=========>....................] - ETA: 0s - loss: 0.0755 119/241 [=============>................] - ETA: 0s - loss: 0.0715 158/241 [==================>...........] - ETA: 0s - loss: 0.0657 196/241 [=======================>......] - ETA: 0s - loss: 0.0687 227/241 [===========================>..] - ETA: 0s - loss: 0.0701 241/241 [==============================] - 0s 1ms/step - loss: 0.0679 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0115 38/241 [===>..........................] - ETA: 0s - loss: 0.0519 76/241 [========>.....................] - ETA: 0s - loss: 0.0582 117/241 [=============>................] - ETA: 0s - loss: 0.0653 156/241 [==================>...........] - ETA: 0s - loss: 0.0667 195/241 [=======================>......] - ETA: 0s - loss: 0.0663 236/241 [============================>.] - ETA: 0s - loss: 0.0670 241/241 [==============================] - 0s 1ms/step - loss: 0.0669 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0222 42/241 [====>.........................] - ETA: 0s - loss: 0.0561 79/241 [========>.....................] - ETA: 0s - loss: 0.0571 118/241 [=============>................] - ETA: 0s - loss: 0.0609 156/241 [==================>...........] - ETA: 0s - loss: 0.0636 194/241 [=======================>......] - ETA: 0s - loss: 0.0632 233/241 [============================>.] - ETA: 0s - loss: 0.0634 241/241 [==============================] - 0s 1ms/step - loss: 0.0638 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0287 42/241 [====>.........................] - ETA: 0s - loss: 0.0613 80/241 [========>.....................] - ETA: 0s - loss: 0.0657 120/241 [=============>................] - ETA: 0s - loss: 0.0737 158/241 [==================>...........] - ETA: 0s - loss: 0.0686 197/241 [=======================>......] - ETA: 0s - loss: 0.0683 236/241 [============================>.] - ETA: 0s - loss: 0.0690 241/241 [==============================] - 0s 1ms/step - loss: 0.0685 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0030 38/241 [===>..........................] - ETA: 0s - loss: 0.0626 77/241 [========>.....................] - ETA: 0s - loss: 0.0669 117/241 [=============>................] - ETA: 0s - loss: 0.0703 156/241 [==================>...........] - ETA: 0s - loss: 0.0671 196/241 [=======================>......] - ETA: 0s - loss: 0.0629 236/241 [============================>.] - ETA: 0s - loss: 0.0631 241/241 [==============================] - 0s 1ms/step - loss: 0.0635 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0907 38/241 [===>..........................] - ETA: 0s - loss: 0.0460 73/241 [========>.....................] - ETA: 0s - loss: 0.0643 106/241 [============>.................] - ETA: 0s - loss: 0.0638 138/241 [================>.............] - ETA: 0s - loss: 0.0649 176/241 [====================>.........] - ETA: 0s - loss: 0.0654 216/241 [=========================>....] - ETA: 0s - loss: 0.0652 241/241 [==============================] - 0s 1ms/step - loss: 0.0632 -> test with GAN.predict GAN tn, fp: 583, 20 GAN fn, tp: 9, 22 GAN f1 score: 0.603 GAN cohens kappa score: 0.579 -> test with 'LR' LR tn, fp: 504, 99 LR fn, tp: 3, 28 LR f1 score: 0.354 LR cohens kappa score: 0.299 LR average precision score: 0.388 -> test with 'RF' RF tn, fp: 600, 3 RF fn, tp: 13, 18 RF f1 score: 0.692 RF cohens kappa score: 0.680 -> test with 'GB' GB tn, fp: 596, 7 GB fn, tp: 7, 24 GB f1 score: 0.774 GB cohens kappa score: 0.763 -> test with 'KNN' KNN tn, fp: 575, 28 KNN fn, tp: 10, 21 KNN f1 score: 0.525 KNN cohens kappa score: 0.495 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2288 synthetic samples -> retrain GAN for predict Epoch 1/10 1/242 [..............................] - ETA: 38s - loss: 0.2191 35/242 [===>..........................] - ETA: 0s - loss: 0.1705  73/242 [========>.....................] - ETA: 0s - loss: 0.1255 114/242 [=============>................] - ETA: 0s - loss: 0.1066 155/242 [==================>...........] - ETA: 0s - loss: 0.0978 196/242 [=======================>......] - ETA: 0s - loss: 0.0911 239/242 [============================>.] - ETA: 0s - loss: 0.0894 242/242 [==============================] - 0s 1ms/step - loss: 0.0893 Epoch 2/10 1/242 [..............................] - ETA: 0s - loss: 0.0833 42/242 [====>.........................] - ETA: 0s - loss: 0.0634 84/242 [=========>....................] - ETA: 0s - loss: 0.0556 116/242 [=============>................] - ETA: 0s - loss: 0.0571 133/242 [===============>..............] - ETA: 0s - loss: 0.0565 168/242 [===================>..........] - ETA: 0s - loss: 0.0575 207/242 [========================>.....] - ETA: 0s - loss: 0.0614 242/242 [==============================] - 0s 1ms/step - loss: 0.0615 Epoch 3/10 1/242 [..............................] - ETA: 0s - loss: 0.0507 36/242 [===>..........................] - ETA: 0s - loss: 0.0827 49/242 [=====>........................] - ETA: 0s - loss: 0.0822 86/242 [=========>....................] - ETA: 0s - loss: 0.0875 126/242 [==============>...............] - ETA: 0s - loss: 0.0830 164/242 [===================>..........] - ETA: 0s - loss: 0.0808 201/242 [=======================>......] - ETA: 0s - loss: 0.0751 221/242 [==========================>...] - ETA: 0s - loss: 0.0732 242/242 [==============================] - 0s 2ms/step - loss: 0.0711 Epoch 4/10 1/242 [..............................] - ETA: 0s - loss: 0.0629 42/242 [====>.........................] - ETA: 0s - loss: 0.0521 80/242 [========>.....................] - ETA: 0s - loss: 0.0559 115/242 [=============>................] - ETA: 0s - loss: 0.0586 128/242 [==============>...............] - ETA: 0s - loss: 0.0565 157/242 [==================>...........] - ETA: 0s - loss: 0.0530 191/242 [======================>.......] - ETA: 0s - loss: 0.0548 224/242 [==========================>...] - ETA: 0s - loss: 0.0582 242/242 [==============================] - 0s 2ms/step - loss: 0.0579 Epoch 5/10 1/242 [..............................] - ETA: 0s - loss: 0.0353 25/242 [==>...........................] - ETA: 0s - loss: 0.0472 49/242 [=====>........................] - ETA: 0s - loss: 0.0439 86/242 [=========>....................] - ETA: 0s - loss: 0.0464 126/242 [==============>...............] - ETA: 0s - loss: 0.0500 163/242 [===================>..........] - ETA: 0s - loss: 0.0549 191/242 [======================>.......] - ETA: 0s - loss: 0.0534 209/242 [========================>.....] - ETA: 0s - loss: 0.0528 242/242 [==============================] - 0s 2ms/step - loss: 0.0520 Epoch 6/10 1/242 [..............................] - ETA: 0s - loss: 0.0054 40/242 [===>..........................] - ETA: 0s - loss: 0.0554 77/242 [========>.....................] - ETA: 0s - loss: 0.0480 112/242 [============>.................] - ETA: 0s - loss: 0.0518 118/242 [=============>................] - ETA: 0s - loss: 0.0567 154/242 [==================>...........] - ETA: 0s - loss: 0.0536 194/242 [=======================>......] - ETA: 0s - loss: 0.0518 233/242 [===========================>..] - ETA: 0s - loss: 0.0522 242/242 [==============================] - 0s 2ms/step - loss: 0.0521 Epoch 7/10 1/242 [..............................] - ETA: 0s - loss: 9.2820e-04 26/242 [==>...........................] - ETA: 0s - loss: 0.0635  45/242 [====>.........................] - ETA: 0s - loss: 0.0603 86/242 [=========>....................] - ETA: 0s - loss: 0.0576 123/242 [==============>...............] - ETA: 0s - loss: 0.0537 159/242 [==================>...........] - ETA: 0s - loss: 0.0526 184/242 [=====================>........] - ETA: 0s - loss: 0.0495 204/242 [========================>.....] - ETA: 0s - loss: 0.0496 242/242 [==============================] - 0s 2ms/step - loss: 0.0498 Epoch 8/10 1/242 [..............................] - ETA: 0s - loss: 0.0278 41/242 [====>.........................] - ETA: 0s - loss: 0.0411 78/242 [========>.....................] - ETA: 0s - loss: 0.0391 108/242 [============>.................] - ETA: 0s - loss: 0.0392 130/242 [===============>..............] - ETA: 0s - loss: 0.0373 168/242 [===================>..........] - ETA: 0s - loss: 0.0419 207/242 [========================>.....] - ETA: 0s - loss: 0.0501 241/242 [============================>.] - ETA: 0s - loss: 0.0513 242/242 [==============================] - 0s 2ms/step - loss: 0.0512 Epoch 9/10 1/242 [..............................] - ETA: 0s - loss: 0.0814 26/242 [==>...........................] - ETA: 0s - loss: 0.0480 53/242 [=====>........................] - ETA: 0s - loss: 0.0397 92/242 [==========>...................] - ETA: 0s - loss: 0.0382 131/242 [===============>..............] - ETA: 0s - loss: 0.0418 167/242 [===================>..........] - ETA: 0s - loss: 0.0436 190/242 [======================>.......] - ETA: 0s - loss: 0.0451 212/242 [=========================>....] - ETA: 0s - loss: 0.0461 242/242 [==============================] - 0s 2ms/step - loss: 0.0531 Epoch 10/10 1/242 [..............................] - ETA: 0s - loss: 0.0903 41/242 [====>.........................] - ETA: 0s - loss: 0.0832 74/242 [========>.....................] - ETA: 0s - loss: 0.0698 95/242 [==========>...................] - ETA: 0s - loss: 0.0711 112/242 [============>.................] - ETA: 0s - loss: 0.0650 148/242 [=================>............] - ETA: 0s - loss: 0.0587 188/242 [======================>.......] - ETA: 0s - loss: 0.0608 226/242 [===========================>..] - ETA: 0s - loss: 0.0580 242/242 [==============================] - 0s 2ms/step - loss: 0.0568 -> test with GAN.predict GAN tn, fp: 594, 6 GAN fn, tp: 8, 19 GAN f1 score: 0.731 GAN cohens kappa score: 0.719 -> test with 'LR' LR tn, fp: 514, 86 LR fn, tp: 2, 25 LR f1 score: 0.362 LR cohens kappa score: 0.315 LR average precision score: 0.549 -> test with 'RF' RF tn, fp: 596, 4 RF fn, tp: 6, 21 RF f1 score: 0.808 RF cohens kappa score: 0.799 -> test with 'GB' GB tn, fp: 592, 8 GB fn, tp: 4, 23 GB f1 score: 0.793 GB cohens kappa score: 0.783 -> test with 'KNN' KNN tn, fp: 568, 32 KNN fn, tp: 3, 24 KNN f1 score: 0.578 KNN cohens kappa score: 0.552 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 39s - loss: 0.1406 40/241 [===>..........................] - ETA: 0s - loss: 0.1168  81/241 [=========>....................] - ETA: 0s - loss: 0.1124 121/241 [==============>...............] - ETA: 0s - loss: 0.1050 158/241 [==================>...........] - ETA: 0s - loss: 0.1003 196/241 [=======================>......] - ETA: 0s - loss: 0.1000 235/241 [============================>.] - ETA: 0s - loss: 0.0967 241/241 [==============================] - 0s 1ms/step - loss: 0.0960 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0161 39/241 [===>..........................] - ETA: 0s - loss: 0.0897 78/241 [========>.....................] - ETA: 0s - loss: 0.0817 118/241 [=============>................] - ETA: 0s - loss: 0.0854 158/241 [==================>...........] - ETA: 0s - loss: 0.0851 198/241 [=======================>......] - ETA: 0s - loss: 0.0823 238/241 [============================>.] - ETA: 0s - loss: 0.0813 241/241 [==============================] - 0s 1ms/step - loss: 0.0808 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.1400 40/241 [===>..........................] - ETA: 0s - loss: 0.0955 80/241 [========>.....................] - ETA: 0s - loss: 0.0894 119/241 [=============>................] - ETA: 0s - loss: 0.0841 158/241 [==================>...........] - ETA: 0s - loss: 0.0790 193/241 [=======================>......] - ETA: 0s - loss: 0.0747 230/241 [===========================>..] - ETA: 0s - loss: 0.0713 241/241 [==============================] - 0s 1ms/step - loss: 0.0720 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.1663 39/241 [===>..........................] - ETA: 0s - loss: 0.0645 77/241 [========>.....................] - ETA: 0s - loss: 0.0633 108/241 [============>.................] - ETA: 0s - loss: 0.0655 141/241 [================>.............] - ETA: 0s - loss: 0.0677 173/241 [====================>.........] - ETA: 0s - loss: 0.0666 214/241 [=========================>....] - ETA: 0s - loss: 0.0674 241/241 [==============================] - 0s 1ms/step - loss: 0.0673 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0851 41/241 [====>.........................] - ETA: 0s - loss: 0.0482 81/241 [=========>....................] - ETA: 0s - loss: 0.0477 121/241 [==============>...............] - ETA: 0s - loss: 0.0571 159/241 [==================>...........] - ETA: 0s - loss: 0.0581 199/241 [=======================>......] - ETA: 0s - loss: 0.0623 239/241 [============================>.] - ETA: 0s - loss: 0.0650 241/241 [==============================] - 0s 1ms/step - loss: 0.0648 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0315 40/241 [===>..........................] - ETA: 0s - loss: 0.0489 80/241 [========>.....................] - ETA: 0s - loss: 0.0557 117/241 [=============>................] - ETA: 0s - loss: 0.0606 156/241 [==================>...........] - ETA: 0s - loss: 0.0626 196/241 [=======================>......] - ETA: 0s - loss: 0.0621 232/241 [===========================>..] - ETA: 0s - loss: 0.0606 241/241 [==============================] - 0s 1ms/step - loss: 0.0613 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0425 36/241 [===>..........................] - ETA: 0s - loss: 0.0494 72/241 [=======>......................] - ETA: 0s - loss: 0.0480 111/241 [============>.................] - ETA: 0s - loss: 0.0537 149/241 [=================>............] - ETA: 0s - loss: 0.0547 186/241 [======================>.......] - ETA: 0s - loss: 0.0560 225/241 [===========================>..] - ETA: 0s - loss: 0.0543 241/241 [==============================] - 0s 1ms/step - loss: 0.0568 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0205 40/241 [===>..........................] - ETA: 0s - loss: 0.0562 79/241 [========>.....................] - ETA: 0s - loss: 0.0527 117/241 [=============>................] - ETA: 0s - loss: 0.0540 155/241 [==================>...........] - ETA: 0s - loss: 0.0528 193/241 [=======================>......] - ETA: 0s - loss: 0.0560 232/241 [===========================>..] - ETA: 0s - loss: 0.0572 241/241 [==============================] - 0s 1ms/step - loss: 0.0577 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0734 42/241 [====>.........................] - ETA: 0s - loss: 0.0461 81/241 [=========>....................] - ETA: 0s - loss: 0.0501 120/241 [=============>................] - ETA: 0s - loss: 0.0493 160/241 [==================>...........] - ETA: 0s - loss: 0.0515 201/241 [========================>.....] - ETA: 0s - loss: 0.0512 241/241 [==============================] - ETA: 0s - loss: 0.0515 241/241 [==============================] - 0s 1ms/step - loss: 0.0515 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0291 36/241 [===>..........................] - ETA: 0s - loss: 0.0505 75/241 [========>.....................] - ETA: 0s - loss: 0.0589 114/241 [=============>................] - ETA: 0s - loss: 0.0578 151/241 [=================>............] - ETA: 0s - loss: 0.0572 191/241 [======================>.......] - ETA: 0s - loss: 0.0578 232/241 [===========================>..] - ETA: 0s - loss: 0.0542 241/241 [==============================] - 0s 1ms/step - loss: 0.0529 -> test with GAN.predict GAN tn, fp: 557, 46 GAN fn, tp: 1, 30 GAN f1 score: 0.561 GAN cohens kappa score: 0.528 -> test with 'LR' LR tn, fp: 521, 82 LR fn, tp: 5, 26 LR f1 score: 0.374 LR cohens kappa score: 0.323 LR average precision score: 0.474 -> test with 'RF' RF tn, fp: 596, 7 RF fn, tp: 8, 23 RF f1 score: 0.754 RF cohens kappa score: 0.742 -> test with 'GB' GB tn, fp: 589, 14 GB fn, tp: 4, 27 GB f1 score: 0.750 GB cohens kappa score: 0.735 -> test with 'KNN' KNN tn, fp: 580, 23 KNN fn, tp: 7, 24 KNN f1 score: 0.615 KNN cohens kappa score: 0.591 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 43s - loss: 0.1092 38/241 [===>..........................] - ETA: 0s - loss: 0.1897  73/241 [========>.....................] - ETA: 0s - loss: 0.1852 109/241 [============>.................] - ETA: 0s - loss: 0.1512 142/241 [================>.............] - ETA: 0s - loss: 0.1387 176/241 [====================>.........] - ETA: 0s - loss: 0.1273 209/241 [=========================>....] - ETA: 0s - loss: 0.1188 241/241 [==============================] - 1s 1ms/step - loss: 0.1147 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0204 34/241 [===>..........................] - ETA: 0s - loss: 0.0704 70/241 [=======>......................] - ETA: 0s - loss: 0.0835 106/241 [============>.................] - ETA: 0s - loss: 0.0809 142/241 [================>.............] - ETA: 0s - loss: 0.0783 177/241 [=====================>........] - ETA: 0s - loss: 0.0789 212/241 [=========================>....] - ETA: 0s - loss: 0.0764 241/241 [==============================] - 0s 1ms/step - loss: 0.0773 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0259 37/241 [===>..........................] - ETA: 0s - loss: 0.0733 74/241 [========>.....................] - ETA: 0s - loss: 0.0691 111/241 [============>.................] - ETA: 0s - loss: 0.0722 146/241 [=================>............] - ETA: 0s - loss: 0.0719 182/241 [=====================>........] - ETA: 0s - loss: 0.0741 218/241 [==========================>...] - ETA: 0s - loss: 0.0746 241/241 [==============================] - 0s 1ms/step - loss: 0.0744 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0494 36/241 [===>..........................] - ETA: 0s - loss: 0.0595 70/241 [=======>......................] - ETA: 0s - loss: 0.0787 107/241 [============>.................] - ETA: 0s - loss: 0.0712 144/241 [================>.............] - ETA: 0s - loss: 0.0730 179/241 [=====================>........] - ETA: 0s - loss: 0.0716 214/241 [=========================>....] - ETA: 0s - loss: 0.0745 241/241 [==============================] - 0s 1ms/step - loss: 0.0730 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0440 36/241 [===>..........................] - ETA: 0s - loss: 0.0923 72/241 [=======>......................] - ETA: 0s - loss: 0.0845 108/241 [============>.................] - ETA: 0s - loss: 0.0723 144/241 [================>.............] - ETA: 0s - loss: 0.0704 177/241 [=====================>........] - ETA: 0s - loss: 0.0651 214/241 [=========================>....] - ETA: 0s - loss: 0.0640 241/241 [==============================] - 0s 1ms/step - loss: 0.0699 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0035 37/241 [===>..........................] - ETA: 0s - loss: 0.0674 70/241 [=======>......................] - ETA: 0s - loss: 0.0697 103/241 [===========>..................] - ETA: 0s - loss: 0.0702 137/241 [================>.............] - ETA: 0s - loss: 0.0621 172/241 [====================>.........] - ETA: 0s - loss: 0.0631 201/241 [========================>.....] - ETA: 0s - loss: 0.0671 232/241 [===========================>..] - ETA: 0s - loss: 0.0663 241/241 [==============================] - 0s 2ms/step - loss: 0.0676 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0629 33/241 [===>..........................] - ETA: 0s - loss: 0.0804 67/241 [=======>......................] - ETA: 0s - loss: 0.0615 101/241 [===========>..................] - ETA: 0s - loss: 0.0616 135/241 [===============>..............] - ETA: 0s - loss: 0.0641 167/241 [===================>..........] - ETA: 0s - loss: 0.0630 198/241 [=======================>......] - ETA: 0s - loss: 0.0629 234/241 [============================>.] - ETA: 0s - loss: 0.0636 241/241 [==============================] - 0s 2ms/step - loss: 0.0654 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0650 40/241 [===>..........................] - ETA: 0s - loss: 0.0804 79/241 [========>.....................] - ETA: 0s - loss: 0.0988 118/241 [=============>................] - ETA: 0s - loss: 0.0865 157/241 [==================>...........] - ETA: 0s - loss: 0.0809 193/241 [=======================>......] - ETA: 0s - loss: 0.0805 230/241 [===========================>..] - ETA: 0s - loss: 0.0789 241/241 [==============================] - 0s 1ms/step - loss: 0.0794 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.2687 39/241 [===>..........................] - ETA: 0s - loss: 0.0497 77/241 [========>.....................] - ETA: 0s - loss: 0.0572 116/241 [=============>................] - ETA: 0s - loss: 0.0677 157/241 [==================>...........] - ETA: 0s - loss: 0.0694 194/241 [=======================>......] - ETA: 0s - loss: 0.0701 233/241 [============================>.] - ETA: 0s - loss: 0.0663 241/241 [==============================] - 0s 1ms/step - loss: 0.0652 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0106 41/241 [====>.........................] - ETA: 0s - loss: 0.0808 79/241 [========>.....................] - ETA: 0s - loss: 0.0733 117/241 [=============>................] - ETA: 0s - loss: 0.0672 156/241 [==================>...........] - ETA: 0s - loss: 0.0651 197/241 [=======================>......] - ETA: 0s - loss: 0.0642 235/241 [============================>.] - ETA: 0s - loss: 0.0627 241/241 [==============================] - 0s 1ms/step - loss: 0.0631 -> test with GAN.predict GAN tn, fp: 592, 11 GAN fn, tp: 11, 20 GAN f1 score: 0.645 GAN cohens kappa score: 0.627 -> test with 'LR' LR tn, fp: 526, 77 LR fn, tp: 6, 25 LR f1 score: 0.376 LR cohens kappa score: 0.325 LR average precision score: 0.412 -> test with 'RF' RF tn, fp: 597, 6 RF fn, tp: 10, 21 RF f1 score: 0.724 RF cohens kappa score: 0.711 -> test with 'GB' GB tn, fp: 595, 8 GB fn, tp: 3, 28 GB f1 score: 0.836 GB cohens kappa score: 0.827 -> test with 'KNN' KNN tn, fp: 578, 25 KNN fn, tp: 5, 26 KNN f1 score: 0.634 KNN cohens kappa score: 0.610 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 50s - loss: 0.0216 36/241 [===>..........................] - ETA: 0s - loss: 0.1472  71/241 [=======>......................] - ETA: 0s - loss: 0.1389 105/241 [============>.................] - ETA: 0s - loss: 0.1180 140/241 [================>.............] - ETA: 0s - loss: 0.1095 175/241 [====================>.........] - ETA: 0s - loss: 0.1070 211/241 [=========================>....] - ETA: 0s - loss: 0.1052 241/241 [==============================] - 1s 1ms/step - loss: 0.1048 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0232 40/241 [===>..........................] - ETA: 0s - loss: 0.0789 72/241 [=======>......................] - ETA: 0s - loss: 0.0929 101/241 [===========>..................] - ETA: 0s - loss: 0.0889 132/241 [===============>..............] - ETA: 0s - loss: 0.0920 169/241 [====================>.........] - ETA: 0s - loss: 0.0869 203/241 [========================>.....] - ETA: 0s - loss: 0.0857 237/241 [============================>.] - ETA: 0s - loss: 0.0835 241/241 [==============================] - 0s 2ms/step - loss: 0.0848 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0097 30/241 [==>...........................] - ETA: 0s - loss: 0.0885 60/241 [======>.......................] - ETA: 0s - loss: 0.0915 89/241 [==========>...................] - ETA: 0s - loss: 0.0796 122/241 [==============>...............] - ETA: 0s - loss: 0.0827 155/241 [==================>...........] - ETA: 0s - loss: 0.0819 189/241 [======================>.......] - ETA: 0s - loss: 0.0805 205/241 [========================>.....] - ETA: 0s - loss: 0.0789 226/241 [===========================>..] - ETA: 0s - loss: 0.0802 241/241 [==============================] - 0s 2ms/step - loss: 0.0782 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0377 24/241 [=>............................] - ETA: 0s - loss: 0.0829 53/241 [=====>........................] - ETA: 0s - loss: 0.0745 79/241 [========>.....................] - ETA: 0s - loss: 0.0670 110/241 [============>.................] - ETA: 0s - loss: 0.0699 139/241 [================>.............] - ETA: 0s - loss: 0.0747 166/241 [===================>..........] - ETA: 0s - loss: 0.0824 195/241 [=======================>......] - ETA: 0s - loss: 0.0797 217/241 [==========================>...] - ETA: 0s - loss: 0.0765 241/241 [==============================] - ETA: 0s - loss: 0.0770 241/241 [==============================] - 0s 2ms/step - loss: 0.0770 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0714 24/241 [=>............................] - ETA: 0s - loss: 0.0600 46/241 [====>.........................] - ETA: 0s - loss: 0.0607 69/241 [=======>......................] - ETA: 0s - loss: 0.0640 94/241 [==========>...................] - ETA: 0s - loss: 0.0673 115/241 [=============>................] - ETA: 0s - loss: 0.0685 135/241 [===============>..............] - ETA: 0s - loss: 0.0684 151/241 [=================>............] - ETA: 0s - loss: 0.0692 168/241 [===================>..........] - ETA: 0s - loss: 0.0697 188/241 [======================>.......] - ETA: 0s - loss: 0.0675 207/241 [========================>.....] - ETA: 0s - loss: 0.0681 228/241 [===========================>..] - ETA: 0s - loss: 0.0712 241/241 [==============================] - 1s 3ms/step - loss: 0.0704 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0960 18/241 [=>............................] - ETA: 0s - loss: 0.0537 35/241 [===>..........................] - ETA: 0s - loss: 0.0572 52/241 [=====>........................] - ETA: 0s - loss: 0.0654 71/241 [=======>......................] - ETA: 0s - loss: 0.0716 95/241 [==========>...................] - ETA: 0s - loss: 0.0692 110/241 [============>.................] - ETA: 0s - loss: 0.0669 125/241 [==============>...............] - ETA: 0s - loss: 0.0729 137/241 [================>.............] - ETA: 0s - loss: 0.0733 162/241 [===================>..........] - ETA: 0s - loss: 0.0769 185/241 [======================>.......] - ETA: 0s - loss: 0.0749 203/241 [========================>.....] - ETA: 0s - loss: 0.0756 223/241 [==========================>...] - ETA: 0s - loss: 0.0721 241/241 [==============================] - 1s 3ms/step - loss: 0.0715 Epoch 7/10 1/241 [..............................] - ETA: 2s - loss: 0.0121 26/241 [==>...........................] - ETA: 0s - loss: 0.0403 47/241 [====>.........................] - ETA: 0s - loss: 0.0575 72/241 [=======>......................] - ETA: 0s - loss: 0.0643 98/241 [===========>..................] - ETA: 0s - loss: 0.0571 123/241 [==============>...............] - ETA: 0s - loss: 0.0564 146/241 [=================>............] - ETA: 0s - loss: 0.0627 171/241 [====================>.........] - ETA: 0s - loss: 0.0673 198/241 [=======================>......] - ETA: 0s - loss: 0.0688 221/241 [==========================>...] - ETA: 0s - loss: 0.0746 241/241 [==============================] - 1s 2ms/step - loss: 0.0752 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.1782 32/241 [==>...........................] - ETA: 0s - loss: 0.0829 59/241 [======>.......................] - ETA: 0s - loss: 0.0888 86/241 [=========>....................] - ETA: 0s - loss: 0.0820 114/241 [=============>................] - ETA: 0s - loss: 0.0738 141/241 [================>.............] - ETA: 0s - loss: 0.0740 166/241 [===================>..........] - ETA: 0s - loss: 0.0724 191/241 [======================>.......] - ETA: 0s - loss: 0.0697 217/241 [==========================>...] - ETA: 0s - loss: 0.0696 241/241 [==============================] - 0s 2ms/step - loss: 0.0686 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0486 29/241 [==>...........................] - ETA: 0s - loss: 0.0503 59/241 [======>.......................] - ETA: 0s - loss: 0.0638 90/241 [==========>...................] - ETA: 0s - loss: 0.0655 117/241 [=============>................] - ETA: 0s - loss: 0.0675 144/241 [================>.............] - ETA: 0s - loss: 0.0648 172/241 [====================>.........] - ETA: 0s - loss: 0.0655 199/241 [=======================>......] - ETA: 0s - loss: 0.0630 225/241 [===========================>..] - ETA: 0s - loss: 0.0611 241/241 [==============================] - 0s 2ms/step - loss: 0.0656 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0137 31/241 [==>...........................] - ETA: 0s - loss: 0.0476 55/241 [=====>........................] - ETA: 0s - loss: 0.0486 79/241 [========>.....................] - ETA: 0s - loss: 0.0651 99/241 [===========>..................] - ETA: 0s - loss: 0.0746 113/241 [=============>................] - ETA: 0s - loss: 0.0718 127/241 [==============>...............] - ETA: 0s - loss: 0.0694 143/241 [================>.............] - ETA: 0s - loss: 0.0698 160/241 [==================>...........] - ETA: 0s - loss: 0.0676 177/241 [=====================>........] - ETA: 0s - loss: 0.0648 194/241 [=======================>......] - ETA: 0s - loss: 0.0650 211/241 [=========================>....] - ETA: 0s - loss: 0.0669 224/241 [==========================>...] - ETA: 0s - loss: 0.0675 234/241 [============================>.] - ETA: 0s - loss: 0.0681 241/241 [==============================] - 1s 3ms/step - loss: 0.0688 -> test with GAN.predict GAN tn, fp: 571, 32 GAN fn, tp: 7, 24 GAN f1 score: 0.552 GAN cohens kappa score: 0.522 -> test with 'LR' LR tn, fp: 502, 101 LR fn, tp: 4, 27 LR f1 score: 0.340 LR cohens kappa score: 0.283 LR average precision score: 0.573 -> test with 'RF' RF tn, fp: 599, 4 RF fn, tp: 9, 22 RF f1 score: 0.772 RF cohens kappa score: 0.761 -> test with 'GB' GB tn, fp: 595, 8 GB fn, tp: 6, 25 GB f1 score: 0.781 GB cohens kappa score: 0.770 -> test with 'KNN' KNN tn, fp: 572, 31 KNN fn, tp: 6, 25 KNN f1 score: 0.575 KNN cohens kappa score: 0.546 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 58s - loss: 0.1249 31/241 [==>...........................] - ETA: 0s - loss: 0.1679  63/241 [======>.......................] - ETA: 0s - loss: 0.1370 96/241 [==========>...................] - ETA: 0s - loss: 0.1303 129/241 [===============>..............] - ETA: 0s - loss: 0.1171 163/241 [===================>..........] - ETA: 0s - loss: 0.1110 196/241 [=======================>......] - ETA: 0s - loss: 0.1088 229/241 [===========================>..] - ETA: 0s - loss: 0.1072 241/241 [==============================] - 1s 2ms/step - loss: 0.1064 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0515 32/241 [==>...........................] - ETA: 0s - loss: 0.0590 61/241 [======>.......................] - ETA: 0s - loss: 0.0768 93/241 [==========>...................] - ETA: 0s - loss: 0.0758 127/241 [==============>...............] - ETA: 0s - loss: 0.0772 158/241 [==================>...........] - ETA: 0s - loss: 0.0772 191/241 [======================>.......] - ETA: 0s - loss: 0.0771 225/241 [===========================>..] - ETA: 0s - loss: 0.0756 241/241 [==============================] - 0s 2ms/step - loss: 0.0769 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0933 35/241 [===>..........................] - ETA: 0s - loss: 0.0923 69/241 [=======>......................] - ETA: 0s - loss: 0.0770 98/241 [===========>..................] - ETA: 0s - loss: 0.0744 132/241 [===============>..............] - ETA: 0s - loss: 0.0722 164/241 [===================>..........] - ETA: 0s - loss: 0.0710 195/241 [=======================>......] - ETA: 0s - loss: 0.0687 232/241 [===========================>..] - ETA: 0s - loss: 0.0694 241/241 [==============================] - 0s 2ms/step - loss: 0.0692 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0590 33/241 [===>..........................] - ETA: 0s - loss: 0.0496 70/241 [=======>......................] - ETA: 0s - loss: 0.0684 106/241 [============>.................] - ETA: 0s - loss: 0.0717 143/241 [================>.............] - ETA: 0s - loss: 0.0722 178/241 [=====================>........] - ETA: 0s - loss: 0.0736 215/241 [=========================>....] - ETA: 0s - loss: 0.0709 241/241 [==============================] - 0s 1ms/step - loss: 0.0687 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0671 38/241 [===>..........................] - ETA: 0s - loss: 0.0696 77/241 [========>.....................] - ETA: 0s - loss: 0.0625 113/241 [=============>................] - ETA: 0s - loss: 0.0638 152/241 [=================>............] - ETA: 0s - loss: 0.0625 189/241 [======================>.......] - ETA: 0s - loss: 0.0659 226/241 [===========================>..] - ETA: 0s - loss: 0.0642 241/241 [==============================] - 0s 1ms/step - loss: 0.0637 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0425 39/241 [===>..........................] - ETA: 0s - loss: 0.0493 77/241 [========>.....................] - ETA: 0s - loss: 0.0516 114/241 [=============>................] - ETA: 0s - loss: 0.0499 149/241 [=================>............] - ETA: 0s - loss: 0.0481 189/241 [======================>.......] - ETA: 0s - loss: 0.0606 229/241 [===========================>..] - ETA: 0s - loss: 0.0614 241/241 [==============================] - 0s 1ms/step - loss: 0.0630 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.1178 38/241 [===>..........................] - ETA: 0s - loss: 0.0680 74/241 [========>.....................] - ETA: 0s - loss: 0.0646 109/241 [============>.................] - ETA: 0s - loss: 0.0662 144/241 [================>.............] - ETA: 0s - loss: 0.0627 176/241 [====================>.........] - ETA: 0s - loss: 0.0602 211/241 [=========================>....] - ETA: 0s - loss: 0.0584 241/241 [==============================] - 0s 1ms/step - loss: 0.0585 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0038 33/241 [===>..........................] - ETA: 0s - loss: 0.0691 63/241 [======>.......................] - ETA: 0s - loss: 0.0616 87/241 [=========>....................] - ETA: 0s - loss: 0.0537 117/241 [=============>................] - ETA: 0s - loss: 0.0549 152/241 [=================>............] - ETA: 0s - loss: 0.0571 184/241 [=====================>........] - ETA: 0s - loss: 0.0585 218/241 [==========================>...] - ETA: 0s - loss: 0.0563 241/241 [==============================] - 0s 2ms/step - loss: 0.0595 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0125 36/241 [===>..........................] - ETA: 0s - loss: 0.0510 64/241 [======>.......................] - ETA: 0s - loss: 0.0542 99/241 [===========>..................] - ETA: 0s - loss: 0.0529 135/241 [===============>..............] - ETA: 0s - loss: 0.0525 166/241 [===================>..........] - ETA: 0s - loss: 0.0530 202/241 [========================>.....] - ETA: 0s - loss: 0.0556 233/241 [============================>.] - ETA: 0s - loss: 0.0567 241/241 [==============================] - 0s 2ms/step - loss: 0.0571 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.1294 36/241 [===>..........................] - ETA: 0s - loss: 0.0478 68/241 [=======>......................] - ETA: 0s - loss: 0.0636 105/241 [============>.................] - ETA: 0s - loss: 0.0608 136/241 [===============>..............] - ETA: 0s - loss: 0.0595 167/241 [===================>..........] - ETA: 0s - loss: 0.0627 197/241 [=======================>......] - ETA: 0s - loss: 0.0601 234/241 [============================>.] - ETA: 0s - loss: 0.0580 241/241 [==============================] - 0s 2ms/step - loss: 0.0575 -> test with GAN.predict GAN tn, fp: 583, 20 GAN fn, tp: 8, 23 GAN f1 score: 0.622 GAN cohens kappa score: 0.599 -> test with 'LR' LR tn, fp: 510, 93 LR fn, tp: 6, 25 LR f1 score: 0.336 LR cohens kappa score: 0.280 LR average precision score: 0.281 -> test with 'RF' RF tn, fp: 597, 6 RF fn, tp: 7, 24 RF f1 score: 0.787 RF cohens kappa score: 0.776 -> test with 'GB' GB tn, fp: 590, 13 GB fn, tp: 5, 26 GB f1 score: 0.743 GB cohens kappa score: 0.728 -> test with 'KNN' KNN tn, fp: 571, 32 KNN fn, tp: 7, 24 KNN f1 score: 0.552 KNN cohens kappa score: 0.522 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2288 synthetic samples -> retrain GAN for predict Epoch 1/10 1/242 [..............................] - ETA: 49s - loss: 0.1688 27/242 [==>...........................] - ETA: 0s - loss: 0.0938  52/242 [=====>........................] - ETA: 0s - loss: 0.1013 78/242 [========>.....................] - ETA: 0s - loss: 0.0931 106/242 [============>.................] - ETA: 0s - loss: 0.0898 136/242 [===============>..............] - ETA: 0s - loss: 0.0959 166/242 [===================>..........] - ETA: 0s - loss: 0.0968 193/242 [======================>.......] - ETA: 0s - loss: 0.0994 220/242 [==========================>...] - ETA: 0s - loss: 0.0985 242/242 [==============================] - 1s 2ms/step - loss: 0.0996 Epoch 2/10 1/242 [..............................] - ETA: 0s - loss: 0.1213 34/242 [===>..........................] - ETA: 0s - loss: 0.0973 57/242 [======>.......................] - ETA: 0s - loss: 0.0886 85/242 [=========>....................] - ETA: 0s - loss: 0.0839 119/242 [=============>................] - ETA: 0s - loss: 0.0842 150/242 [=================>............] - ETA: 0s - loss: 0.0849 183/242 [=====================>........] - ETA: 0s - loss: 0.0828 224/242 [==========================>...] - ETA: 0s - loss: 0.0849 242/242 [==============================] - 0s 2ms/step - loss: 0.0836 Epoch 3/10 1/242 [..............................] - ETA: 0s - loss: 0.0242 37/242 [===>..........................] - ETA: 0s - loss: 0.0885 77/242 [========>.....................] - ETA: 0s - loss: 0.0823 116/242 [=============>................] - ETA: 0s - loss: 0.0778 155/242 [==================>...........] - ETA: 0s - loss: 0.0785 191/242 [======================>.......] - ETA: 0s - loss: 0.0787 228/242 [===========================>..] - ETA: 0s - loss: 0.0744 242/242 [==============================] - 0s 1ms/step - loss: 0.0769 Epoch 4/10 1/242 [..............................] - ETA: 0s - loss: 0.0684 40/242 [===>..........................] - ETA: 0s - loss: 0.0808 78/242 [========>.....................] - ETA: 0s - loss: 0.0704 108/242 [============>.................] - ETA: 0s - loss: 0.0740 136/242 [===============>..............] - ETA: 0s - loss: 0.0730 173/242 [====================>.........] - ETA: 0s - loss: 0.0702 209/242 [========================>.....] - ETA: 0s - loss: 0.0726 241/242 [============================>.] - ETA: 0s - loss: 0.0744 242/242 [==============================] - 0s 1ms/step - loss: 0.0743 Epoch 5/10 1/242 [..............................] - ETA: 0s - loss: 0.0880 26/242 [==>...........................] - ETA: 0s - loss: 0.0875 55/242 [=====>........................] - ETA: 0s - loss: 0.0744 90/242 [==========>...................] - ETA: 0s - loss: 0.0772 127/242 [==============>...............] - ETA: 0s - loss: 0.0748 161/242 [==================>...........] - ETA: 0s - loss: 0.0723 196/242 [=======================>......] - ETA: 0s - loss: 0.0689 232/242 [===========================>..] - ETA: 0s - loss: 0.0674 242/242 [==============================] - 0s 2ms/step - loss: 0.0685 Epoch 6/10 1/242 [..............................] - ETA: 0s - loss: 0.0336 35/242 [===>..........................] - ETA: 0s - loss: 0.0599 67/242 [=======>......................] - ETA: 0s - loss: 0.0640 100/242 [===========>..................] - ETA: 0s - loss: 0.0720 130/242 [===============>..............] - ETA: 0s - loss: 0.0685 168/242 [===================>..........] - ETA: 0s - loss: 0.0738 203/242 [========================>.....] - ETA: 0s - loss: 0.0734 236/242 [============================>.] - ETA: 0s - loss: 0.0725 242/242 [==============================] - 0s 2ms/step - loss: 0.0734 Epoch 7/10 1/242 [..............................] - ETA: 0s - loss: 0.1032 35/242 [===>..........................] - ETA: 0s - loss: 0.0707 73/242 [========>.....................] - ETA: 0s - loss: 0.0748 111/242 [============>.................] - ETA: 0s - loss: 0.0700 149/242 [=================>............] - ETA: 0s - loss: 0.0641 187/242 [======================>.......] - ETA: 0s - loss: 0.0682 225/242 [==========================>...] - ETA: 0s - loss: 0.0688 242/242 [==============================] - 0s 1ms/step - loss: 0.0687 Epoch 8/10 1/242 [..............................] - ETA: 0s - loss: 0.0831 37/242 [===>..........................] - ETA: 0s - loss: 0.0663 74/242 [========>.....................] - ETA: 0s - loss: 0.0666 111/242 [============>.................] - ETA: 0s - loss: 0.0684 150/242 [=================>............] - ETA: 0s - loss: 0.0662 188/242 [======================>.......] - ETA: 0s - loss: 0.0660 226/242 [===========================>..] - ETA: 0s - loss: 0.0697 242/242 [==============================] - 0s 1ms/step - loss: 0.0703 Epoch 9/10 1/242 [..............................] - ETA: 0s - loss: 0.0805 37/242 [===>..........................] - ETA: 0s - loss: 0.0665 76/242 [========>.....................] - ETA: 0s - loss: 0.0762 115/242 [=============>................] - ETA: 0s - loss: 0.0704 151/242 [=================>............] - ETA: 0s - loss: 0.0670 190/242 [======================>.......] - ETA: 0s - loss: 0.0667 230/242 [===========================>..] - ETA: 0s - loss: 0.0654 242/242 [==============================] - 0s 1ms/step - loss: 0.0639 Epoch 10/10 1/242 [..............................] - ETA: 0s - loss: 0.2821 39/242 [===>..........................] - ETA: 0s - loss: 0.0697 77/242 [========>.....................] - ETA: 0s - loss: 0.0683 117/242 [=============>................] - ETA: 0s - loss: 0.0612 154/242 [==================>...........] - ETA: 0s - loss: 0.0632 193/242 [======================>.......] - ETA: 0s - loss: 0.0634 228/242 [===========================>..] - ETA: 0s - loss: 0.0636 242/242 [==============================] - 0s 1ms/step - loss: 0.0631 -> test with GAN.predict GAN tn, fp: 587, 13 GAN fn, tp: 3, 24 GAN f1 score: 0.750 GAN cohens kappa score: 0.737 -> test with 'LR' LR tn, fp: 497, 103 LR fn, tp: 1, 26 LR f1 score: 0.333 LR cohens kappa score: 0.282 LR average precision score: 0.428 -> test with 'RF' RF tn, fp: 596, 4 RF fn, tp: 4, 23 RF f1 score: 0.852 RF cohens kappa score: 0.845 -> test with 'GB' GB tn, fp: 590, 10 GB fn, tp: 2, 25 GB f1 score: 0.806 GB cohens kappa score: 0.797 -> test with 'KNN' KNN tn, fp: 565, 35 KNN fn, tp: 4, 23 KNN f1 score: 0.541 KNN cohens kappa score: 0.513 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 50s - loss: 0.0379 41/241 [====>.........................] - ETA: 0s - loss: 0.1014  82/241 [=========>....................] - ETA: 0s - loss: 0.0983 122/241 [==============>...............] - ETA: 0s - loss: 0.1076 163/241 [===================>..........] - ETA: 0s - loss: 0.1038 203/241 [========================>.....] - ETA: 0s - loss: 0.1010 241/241 [==============================] - 1s 1ms/step - loss: 0.1066 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0323 39/241 [===>..........................] - ETA: 0s - loss: 0.0851 77/241 [========>.....................] - ETA: 0s - loss: 0.0872 118/241 [=============>................] - ETA: 0s - loss: 0.0992 157/241 [==================>...........] - ETA: 0s - loss: 0.1036 195/241 [=======================>......] - ETA: 0s - loss: 0.1007 234/241 [============================>.] - ETA: 0s - loss: 0.0946 241/241 [==============================] - 0s 1ms/step - loss: 0.0933 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.1055 41/241 [====>.........................] - ETA: 0s - loss: 0.0787 80/241 [========>.....................] - ETA: 0s - loss: 0.0927 121/241 [==============>...............] - ETA: 0s - loss: 0.0954 161/241 [===================>..........] - ETA: 0s - loss: 0.0927 200/241 [=======================>......] - ETA: 0s - loss: 0.0885 239/241 [============================>.] - ETA: 0s - loss: 0.0873 241/241 [==============================] - 0s 1ms/step - loss: 0.0873 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0721 42/241 [====>.........................] - ETA: 0s - loss: 0.0921 80/241 [========>.....................] - ETA: 0s - loss: 0.0919 119/241 [=============>................] - ETA: 0s - loss: 0.0898 154/241 [==================>...........] - ETA: 0s - loss: 0.0854 194/241 [=======================>......] - ETA: 0s - loss: 0.0837 234/241 [============================>.] - ETA: 0s - loss: 0.0851 241/241 [==============================] - 0s 1ms/step - loss: 0.0849 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0354 35/241 [===>..........................] - ETA: 0s - loss: 0.0665 69/241 [=======>......................] - ETA: 0s - loss: 0.0824 103/241 [===========>..................] - ETA: 0s - loss: 0.0822 144/241 [================>.............] - ETA: 0s - loss: 0.0781 183/241 [=====================>........] - ETA: 0s - loss: 0.0832 222/241 [==========================>...] - ETA: 0s - loss: 0.0843 241/241 [==============================] - 0s 1ms/step - loss: 0.0830 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0128 39/241 [===>..........................] - ETA: 0s - loss: 0.0949 79/241 [========>.....................] - ETA: 0s - loss: 0.1009 119/241 [=============>................] - ETA: 0s - loss: 0.0941 158/241 [==================>...........] - ETA: 0s - loss: 0.0862 197/241 [=======================>......] - ETA: 0s - loss: 0.0824 237/241 [============================>.] - ETA: 0s - loss: 0.0846 241/241 [==============================] - 0s 1ms/step - loss: 0.0853 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0095 41/241 [====>.........................] - ETA: 0s - loss: 0.0644 79/241 [========>.....................] - ETA: 0s - loss: 0.0732 120/241 [=============>................] - ETA: 0s - loss: 0.0740 160/241 [==================>...........] - ETA: 0s - loss: 0.0762 200/241 [=======================>......] - ETA: 0s - loss: 0.0757 238/241 [============================>.] - ETA: 0s - loss: 0.0773 241/241 [==============================] - 0s 1ms/step - loss: 0.0770 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.1215 41/241 [====>.........................] - ETA: 0s - loss: 0.0775 81/241 [=========>....................] - ETA: 0s - loss: 0.0746 123/241 [==============>...............] - ETA: 0s - loss: 0.0764 158/241 [==================>...........] - ETA: 0s - loss: 0.0756 195/241 [=======================>......] - ETA: 0s - loss: 0.0751 232/241 [===========================>..] - ETA: 0s - loss: 0.0753 241/241 [==============================] - 0s 1ms/step - loss: 0.0746 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0513 41/241 [====>.........................] - ETA: 0s - loss: 0.0760 80/241 [========>.....................] - ETA: 0s - loss: 0.0846 119/241 [=============>................] - ETA: 0s - loss: 0.0805 160/241 [==================>...........] - ETA: 0s - loss: 0.0774 198/241 [=======================>......] - ETA: 0s - loss: 0.0737 239/241 [============================>.] - ETA: 0s - loss: 0.0745 241/241 [==============================] - 0s 1ms/step - loss: 0.0741 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.1431 40/241 [===>..........................] - ETA: 0s - loss: 0.0780 81/241 [=========>....................] - ETA: 0s - loss: 0.0693 120/241 [=============>................] - ETA: 0s - loss: 0.0729 159/241 [==================>...........] - ETA: 0s - loss: 0.0696 196/241 [=======================>......] - ETA: 0s - loss: 0.0740 229/241 [===========================>..] - ETA: 0s - loss: 0.0777 241/241 [==============================] - 0s 1ms/step - loss: 0.0782 -> test with GAN.predict GAN tn, fp: 565, 38 GAN fn, tp: 3, 28 GAN f1 score: 0.577 GAN cohens kappa score: 0.547 -> test with 'LR' LR tn, fp: 520, 83 LR fn, tp: 6, 25 LR f1 score: 0.360 LR cohens kappa score: 0.307 LR average precision score: 0.492 -> test with 'RF' RF tn, fp: 601, 2 RF fn, tp: 12, 19 RF f1 score: 0.731 RF cohens kappa score: 0.720 -> test with 'GB' GB tn, fp: 601, 2 GB fn, tp: 6, 25 GB f1 score: 0.862 GB cohens kappa score: 0.855 -> test with 'KNN' KNN tn, fp: 579, 24 KNN fn, tp: 9, 22 KNN f1 score: 0.571 KNN cohens kappa score: 0.545 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 59s - loss: 0.1809 38/241 [===>..........................] - ETA: 0s - loss: 0.1203  62/241 [======>.......................] - ETA: 0s - loss: 0.1237 81/241 [=========>....................] - ETA: 0s - loss: 0.1201 122/241 [==============>...............] - ETA: 0s - loss: 0.1108 162/241 [===================>..........] - ETA: 0s - loss: 0.1040 196/241 [=======================>......] - ETA: 0s - loss: 0.1018 228/241 [===========================>..] - ETA: 0s - loss: 0.0965 239/241 [============================>.] - ETA: 0s - loss: 0.0944 241/241 [==============================] - 1s 2ms/step - loss: 0.0941 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0425 40/241 [===>..........................] - ETA: 0s - loss: 0.0802 81/241 [=========>....................] - ETA: 0s - loss: 0.0868 118/241 [=============>................] - ETA: 0s - loss: 0.0794 148/241 [=================>............] - ETA: 0s - loss: 0.0790 183/241 [=====================>........] - ETA: 0s - loss: 0.0808 227/241 [===========================>..] - ETA: 0s - loss: 0.0797 241/241 [==============================] - 0s 1ms/step - loss: 0.0794 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.1008 44/241 [====>.........................] - ETA: 0s - loss: 0.0635 86/241 [=========>....................] - ETA: 0s - loss: 0.0628 127/241 [==============>...............] - ETA: 0s - loss: 0.0618 160/241 [==================>...........] - ETA: 0s - loss: 0.0630 186/241 [======================>.......] - ETA: 0s - loss: 0.0681 209/241 [=========================>....] - ETA: 0s - loss: 0.0672 241/241 [==============================] - 0s 1ms/step - loss: 0.0692 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0751 40/241 [===>..........................] - ETA: 0s - loss: 0.0573 77/241 [========>.....................] - ETA: 0s - loss: 0.0626 114/241 [=============>................] - ETA: 0s - loss: 0.0592 124/241 [==============>...............] - ETA: 0s - loss: 0.0604 164/241 [===================>..........] - ETA: 0s - loss: 0.0689 202/241 [========================>.....] - ETA: 0s - loss: 0.0744 241/241 [==============================] - ETA: 0s - loss: 0.0719 241/241 [==============================] - 0s 2ms/step - loss: 0.0719 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.1435 37/241 [===>..........................] - ETA: 0s - loss: 0.0607 49/241 [=====>........................] - ETA: 0s - loss: 0.0602 75/241 [========>.....................] - ETA: 0s - loss: 0.0730 115/241 [=============>................] - ETA: 0s - loss: 0.0665 153/241 [==================>...........] - ETA: 0s - loss: 0.0633 190/241 [======================>.......] - ETA: 0s - loss: 0.0653 227/241 [===========================>..] - ETA: 0s - loss: 0.0685 232/241 [===========================>..] - ETA: 0s - loss: 0.0684 241/241 [==============================] - 0s 2ms/step - loss: 0.0670 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0128 40/241 [===>..........................] - ETA: 0s - loss: 0.0630 78/241 [========>.....................] - ETA: 0s - loss: 0.0592 117/241 [=============>................] - ETA: 0s - loss: 0.0635 153/241 [==================>...........] - ETA: 0s - loss: 0.0657 164/241 [===================>..........] - ETA: 0s - loss: 0.0655 193/241 [=======================>......] - ETA: 0s - loss: 0.0674 227/241 [===========================>..] - ETA: 0s - loss: 0.0636 241/241 [==============================] - 0s 2ms/step - loss: 0.0632 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0124 33/241 [===>..........................] - ETA: 0s - loss: 0.0656 66/241 [=======>......................] - ETA: 0s - loss: 0.0580 88/241 [=========>....................] - ETA: 0s - loss: 0.0555 115/241 [=============>................] - ETA: 0s - loss: 0.0571 155/241 [==================>...........] - ETA: 0s - loss: 0.0597 194/241 [=======================>......] - ETA: 0s - loss: 0.0618 232/241 [===========================>..] - ETA: 0s - loss: 0.0637 241/241 [==============================] - 0s 2ms/step - loss: 0.0633 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0438 28/241 [==>...........................] - ETA: 0s - loss: 0.0539 40/241 [===>..........................] - ETA: 0s - loss: 0.0656 75/241 [========>.....................] - ETA: 0s - loss: 0.0658 111/241 [============>.................] - ETA: 0s - loss: 0.0621 149/241 [=================>............] - ETA: 0s - loss: 0.0621 184/241 [=====================>........] - ETA: 0s - loss: 0.0638 206/241 [========================>.....] - ETA: 0s - loss: 0.0608 222/241 [==========================>...] - ETA: 0s - loss: 0.0611 241/241 [==============================] - 0s 2ms/step - loss: 0.0614 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.1501 41/241 [====>.........................] - ETA: 0s - loss: 0.0560 80/241 [========>.....................] - ETA: 0s - loss: 0.0623 114/241 [=============>................] - ETA: 0s - loss: 0.0645 136/241 [===============>..............] - ETA: 0s - loss: 0.0643 160/241 [==================>...........] - ETA: 0s - loss: 0.0632 200/241 [=======================>......] - ETA: 0s - loss: 0.0597 240/241 [============================>.] - ETA: 0s - loss: 0.0585 241/241 [==============================] - 0s 2ms/step - loss: 0.0583 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0153 37/241 [===>..........................] - ETA: 0s - loss: 0.0666 68/241 [=======>......................] - ETA: 0s - loss: 0.0594 92/241 [==========>...................] - ETA: 0s - loss: 0.0540 133/241 [===============>..............] - ETA: 0s - loss: 0.0541 173/241 [====================>.........] - ETA: 0s - loss: 0.0543 214/241 [=========================>....] - ETA: 0s - loss: 0.0566 241/241 [==============================] - 0s 2ms/step - loss: 0.0570 -> test with GAN.predict GAN tn, fp: 565, 38 GAN fn, tp: 5, 26 GAN f1 score: 0.547 GAN cohens kappa score: 0.515 -> test with 'LR' LR tn, fp: 529, 74 LR fn, tp: 10, 21 LR f1 score: 0.333 LR cohens kappa score: 0.280 LR average precision score: 0.295 -> test with 'RF' RF tn, fp: 594, 9 RF fn, tp: 4, 27 RF f1 score: 0.806 RF cohens kappa score: 0.795 -> test with 'GB' GB tn, fp: 591, 12 GB fn, tp: 3, 28 GB f1 score: 0.789 GB cohens kappa score: 0.776 -> test with 'KNN' KNN tn, fp: 572, 31 KNN fn, tp: 7, 24 KNN f1 score: 0.558 KNN cohens kappa score: 0.529 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 49s - loss: 0.1771 35/241 [===>..........................] - ETA: 0s - loss: 0.1280  70/241 [=======>......................] - ETA: 0s - loss: 0.1104 109/241 [============>.................] - ETA: 0s - loss: 0.1048 148/241 [=================>............] - ETA: 0s - loss: 0.0993 183/241 [=====================>........] - ETA: 0s - loss: 0.0970 221/241 [==========================>...] - ETA: 0s - loss: 0.0972 241/241 [==============================] - 1s 1ms/step - loss: 0.0950 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0403 41/241 [====>.........................] - ETA: 0s - loss: 0.0692 81/241 [=========>....................] - ETA: 0s - loss: 0.0660 121/241 [==============>...............] - ETA: 0s - loss: 0.0858 161/241 [===================>..........] - ETA: 0s - loss: 0.0841 197/241 [=======================>......] - ETA: 0s - loss: 0.0824 236/241 [============================>.] - ETA: 0s - loss: 0.0813 241/241 [==============================] - 0s 1ms/step - loss: 0.0809 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0627 40/241 [===>..........................] - ETA: 0s - loss: 0.0839 79/241 [========>.....................] - ETA: 0s - loss: 0.0770 119/241 [=============>................] - ETA: 0s - loss: 0.0762 160/241 [==================>...........] - ETA: 0s - loss: 0.0768 200/241 [=======================>......] - ETA: 0s - loss: 0.0727 240/241 [============================>.] - ETA: 0s - loss: 0.0741 241/241 [==============================] - 0s 1ms/step - loss: 0.0753 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0212 42/241 [====>.........................] - ETA: 0s - loss: 0.0627 81/241 [=========>....................] - ETA: 0s - loss: 0.0620 121/241 [==============>...............] - ETA: 0s - loss: 0.0651 161/241 [===================>..........] - ETA: 0s - loss: 0.0641 200/241 [=======================>......] - ETA: 0s - loss: 0.0630 238/241 [============================>.] - ETA: 0s - loss: 0.0666 241/241 [==============================] - 0s 1ms/step - loss: 0.0678 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0199 41/241 [====>.........................] - ETA: 0s - loss: 0.0702 81/241 [=========>....................] - ETA: 0s - loss: 0.0773 119/241 [=============>................] - ETA: 0s - loss: 0.0795 157/241 [==================>...........] - ETA: 0s - loss: 0.0784 196/241 [=======================>......] - ETA: 0s - loss: 0.0739 234/241 [============================>.] - ETA: 0s - loss: 0.0734 241/241 [==============================] - 0s 1ms/step - loss: 0.0725 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0398 40/241 [===>..........................] - ETA: 0s - loss: 0.0545 78/241 [========>.....................] - ETA: 0s - loss: 0.0659 117/241 [=============>................] - ETA: 0s - loss: 0.0705 158/241 [==================>...........] - ETA: 0s - loss: 0.0719 197/241 [=======================>......] - ETA: 0s - loss: 0.0770 237/241 [============================>.] - ETA: 0s - loss: 0.0738 241/241 [==============================] - 0s 1ms/step - loss: 0.0733 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.2979 37/241 [===>..........................] - ETA: 0s - loss: 0.0644 75/241 [========>.....................] - ETA: 0s - loss: 0.0728 115/241 [=============>................] - ETA: 0s - loss: 0.0745 154/241 [==================>...........] - ETA: 0s - loss: 0.0764 186/241 [======================>.......] - ETA: 0s - loss: 0.0737 219/241 [==========================>...] - ETA: 0s - loss: 0.0717 241/241 [==============================] - 0s 1ms/step - loss: 0.0754 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.1618 40/241 [===>..........................] - ETA: 0s - loss: 0.0743 80/241 [========>.....................] - ETA: 0s - loss: 0.0748 120/241 [=============>................] - ETA: 0s - loss: 0.0697 158/241 [==================>...........] - ETA: 0s - loss: 0.0721 196/241 [=======================>......] - ETA: 0s - loss: 0.0672 235/241 [============================>.] - ETA: 0s - loss: 0.0703 241/241 [==============================] - 0s 1ms/step - loss: 0.0691 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.1582 38/241 [===>..........................] - ETA: 0s - loss: 0.0589 78/241 [========>.....................] - ETA: 0s - loss: 0.0654 116/241 [=============>................] - ETA: 0s - loss: 0.0679 157/241 [==================>...........] - ETA: 0s - loss: 0.0682 197/241 [=======================>......] - ETA: 0s - loss: 0.0646 236/241 [============================>.] - ETA: 0s - loss: 0.0663 241/241 [==============================] - 0s 1ms/step - loss: 0.0657 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0999 41/241 [====>.........................] - ETA: 0s - loss: 0.1029 80/241 [========>.....................] - ETA: 0s - loss: 0.0747 120/241 [=============>................] - ETA: 0s - loss: 0.0622 160/241 [==================>...........] - ETA: 0s - loss: 0.0584 199/241 [=======================>......] - ETA: 0s - loss: 0.0602 239/241 [============================>.] - ETA: 0s - loss: 0.0630 241/241 [==============================] - 0s 1ms/step - loss: 0.0634 -> test with GAN.predict GAN tn, fp: 586, 17 GAN fn, tp: 8, 23 GAN f1 score: 0.648 GAN cohens kappa score: 0.627 -> test with 'LR' LR tn, fp: 516, 87 LR fn, tp: 0, 31 LR f1 score: 0.416 LR cohens kappa score: 0.367 LR average precision score: 0.552 -> test with 'RF' RF tn, fp: 598, 5 RF fn, tp: 6, 25 RF f1 score: 0.820 RF cohens kappa score: 0.811 -> test with 'GB' GB tn, fp: 586, 17 GB fn, tp: 3, 28 GB f1 score: 0.737 GB cohens kappa score: 0.721 -> test with 'KNN' KNN tn, fp: 569, 34 KNN fn, tp: 8, 23 KNN f1 score: 0.523 KNN cohens kappa score: 0.490 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 43s - loss: 0.7613 42/241 [====>.........................] - ETA: 0s - loss: 0.0951  76/241 [========>.....................] - ETA: 0s - loss: 0.0995 117/241 [=============>................] - ETA: 0s - loss: 0.0894 156/241 [==================>...........] - ETA: 0s - loss: 0.0841 194/241 [=======================>......] - ETA: 0s - loss: 0.0857 233/241 [============================>.] - ETA: 0s - loss: 0.0874 241/241 [==============================] - 0s 1ms/step - loss: 0.0856 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0748 40/241 [===>..........................] - ETA: 0s - loss: 0.0648 80/241 [========>.....................] - ETA: 0s - loss: 0.0677 120/241 [=============>................] - ETA: 0s - loss: 0.0671 161/241 [===================>..........] - ETA: 0s - loss: 0.0666 202/241 [========================>.....] - ETA: 0s - loss: 0.0676 241/241 [==============================] - ETA: 0s - loss: 0.0688 241/241 [==============================] - 0s 1ms/step - loss: 0.0688 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0482 40/241 [===>..........................] - ETA: 0s - loss: 0.0564 74/241 [========>.....................] - ETA: 0s - loss: 0.0645 110/241 [============>.................] - ETA: 0s - loss: 0.0655 149/241 [=================>............] - ETA: 0s - loss: 0.0643 189/241 [======================>.......] - ETA: 0s - loss: 0.0621 230/241 [===========================>..] - ETA: 0s - loss: 0.0612 241/241 [==============================] - 0s 1ms/step - loss: 0.0595 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.1092 36/241 [===>..........................] - ETA: 0s - loss: 0.0492 70/241 [=======>......................] - ETA: 0s - loss: 0.0581 103/241 [===========>..................] - ETA: 0s - loss: 0.0602 141/241 [================>.............] - ETA: 0s - loss: 0.0600 181/241 [=====================>........] - ETA: 0s - loss: 0.0621 220/241 [==========================>...] - ETA: 0s - loss: 0.0604 241/241 [==============================] - 0s 1ms/step - loss: 0.0597 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0144 41/241 [====>.........................] - ETA: 0s - loss: 0.0308 80/241 [========>.....................] - ETA: 0s - loss: 0.0408 120/241 [=============>................] - ETA: 0s - loss: 0.0492 159/241 [==================>...........] - ETA: 0s - loss: 0.0516 197/241 [=======================>......] - ETA: 0s - loss: 0.0531 235/241 [============================>.] - ETA: 0s - loss: 0.0547 241/241 [==============================] - 0s 1ms/step - loss: 0.0541 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0110 40/241 [===>..........................] - ETA: 0s - loss: 0.0417 79/241 [========>.....................] - ETA: 0s - loss: 0.0487 119/241 [=============>................] - ETA: 0s - loss: 0.0506 159/241 [==================>...........] - ETA: 0s - loss: 0.0498 198/241 [=======================>......] - ETA: 0s - loss: 0.0492 236/241 [============================>.] - ETA: 0s - loss: 0.0520 241/241 [==============================] - 0s 1ms/step - loss: 0.0521 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0135 39/241 [===>..........................] - ETA: 0s - loss: 0.0640 79/241 [========>.....................] - ETA: 0s - loss: 0.0681 120/241 [=============>................] - ETA: 0s - loss: 0.0607 160/241 [==================>...........] - ETA: 0s - loss: 0.0594 201/241 [========================>.....] - ETA: 0s - loss: 0.0571 234/241 [============================>.] - ETA: 0s - loss: 0.0543 241/241 [==============================] - 0s 1ms/step - loss: 0.0546 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0253 40/241 [===>..........................] - ETA: 0s - loss: 0.0557 75/241 [========>.....................] - ETA: 0s - loss: 0.0540 116/241 [=============>................] - ETA: 0s - loss: 0.0647 155/241 [==================>...........] - ETA: 0s - loss: 0.0595 195/241 [=======================>......] - ETA: 0s - loss: 0.0553 235/241 [============================>.] - ETA: 0s - loss: 0.0572 241/241 [==============================] - 0s 1ms/step - loss: 0.0565 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0489 40/241 [===>..........................] - ETA: 0s - loss: 0.0489 78/241 [========>.....................] - ETA: 0s - loss: 0.0620 119/241 [=============>................] - ETA: 0s - loss: 0.0583 157/241 [==================>...........] - ETA: 0s - loss: 0.0549 195/241 [=======================>......] - ETA: 0s - loss: 0.0528 234/241 [============================>.] - ETA: 0s - loss: 0.0493 241/241 [==============================] - 0s 1ms/step - loss: 0.0488 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0533 41/241 [====>.........................] - ETA: 0s - loss: 0.0484 80/241 [========>.....................] - ETA: 0s - loss: 0.0431 118/241 [=============>................] - ETA: 0s - loss: 0.0469 157/241 [==================>...........] - ETA: 0s - loss: 0.0481 195/241 [=======================>......] - ETA: 0s - loss: 0.0523 228/241 [===========================>..] - ETA: 0s - loss: 0.0524 241/241 [==============================] - 0s 1ms/step - loss: 0.0528 -> test with GAN.predict GAN tn, fp: 577, 26 GAN fn, tp: 9, 22 GAN f1 score: 0.557 GAN cohens kappa score: 0.529 -> test with 'LR' LR tn, fp: 507, 96 LR fn, tp: 2, 29 LR f1 score: 0.372 LR cohens kappa score: 0.318 LR average precision score: 0.474 -> test with 'RF' RF tn, fp: 595, 8 RF fn, tp: 9, 22 RF f1 score: 0.721 RF cohens kappa score: 0.707 -> test with 'GB' GB tn, fp: 590, 13 GB fn, tp: 5, 26 GB f1 score: 0.743 GB cohens kappa score: 0.728 -> test with 'KNN' KNN tn, fp: 574, 29 KNN fn, tp: 7, 24 KNN f1 score: 0.571 KNN cohens kappa score: 0.543 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2288 synthetic samples -> retrain GAN for predict Epoch 1/10 1/242 [..............................] - ETA: 51s - loss: 0.2093 32/242 [==>...........................] - ETA: 0s - loss: 0.2267  55/242 [=====>........................] - ETA: 0s - loss: 0.1827 94/242 [==========>...................] - ETA: 0s - loss: 0.1467 135/242 [===============>..............] - ETA: 0s - loss: 0.1418 165/242 [===================>..........] - ETA: 0s - loss: 0.1377 192/242 [======================>.......] - ETA: 0s - loss: 0.1290 218/242 [==========================>...] - ETA: 0s - loss: 0.1243 242/242 [==============================] - 1s 2ms/step - loss: 0.1229 Epoch 2/10 1/242 [..............................] - ETA: 0s - loss: 0.0356 40/242 [===>..........................] - ETA: 0s - loss: 0.0901 76/242 [========>.....................] - ETA: 0s - loss: 0.0815 105/242 [============>.................] - ETA: 0s - loss: 0.0868 121/242 [==============>...............] - ETA: 0s - loss: 0.0897 150/242 [=================>............] - ETA: 0s - loss: 0.0942 183/242 [=====================>........] - ETA: 0s - loss: 0.0877 218/242 [==========================>...] - ETA: 0s - loss: 0.0876 242/242 [==============================] - 0s 2ms/step - loss: 0.0846 Epoch 3/10 1/242 [..............................] - ETA: 0s - loss: 0.0117 24/242 [=>............................] - ETA: 0s - loss: 0.0844 48/242 [====>.........................] - ETA: 0s - loss: 0.0838 83/242 [=========>....................] - ETA: 0s - loss: 0.0769 118/242 [=============>................] - ETA: 0s - loss: 0.0738 152/242 [=================>............] - ETA: 0s - loss: 0.0754 175/242 [====================>.........] - ETA: 0s - loss: 0.0745 192/242 [======================>.......] - ETA: 0s - loss: 0.0767 232/242 [===========================>..] - ETA: 0s - loss: 0.0774 242/242 [==============================] - 0s 2ms/step - loss: 0.0770 Epoch 4/10 1/242 [..............................] - ETA: 0s - loss: 0.6863 40/242 [===>..........................] - ETA: 0s - loss: 0.1085 76/242 [========>.....................] - ETA: 0s - loss: 0.1033 95/242 [==========>...................] - ETA: 0s - loss: 0.0966 119/242 [=============>................] - ETA: 0s - loss: 0.0911 155/242 [==================>...........] - ETA: 0s - loss: 0.0835 189/242 [======================>.......] - ETA: 0s - loss: 0.0838 219/242 [==========================>...] - ETA: 0s - loss: 0.0804 238/242 [============================>.] - ETA: 0s - loss: 0.0772 242/242 [==============================] - 0s 2ms/step - loss: 0.0771 Epoch 5/10 1/242 [..............................] - ETA: 0s - loss: 0.0140 31/242 [==>...........................] - ETA: 0s - loss: 0.1064 70/242 [=======>......................] - ETA: 0s - loss: 0.0858 108/242 [============>.................] - ETA: 0s - loss: 0.0793 144/242 [================>.............] - ETA: 0s - loss: 0.0776 161/242 [==================>...........] - ETA: 0s - loss: 0.0823 187/242 [======================>.......] - ETA: 0s - loss: 0.0819 228/242 [===========================>..] - ETA: 0s - loss: 0.0781 242/242 [==============================] - 0s 2ms/step - loss: 0.0756 Epoch 6/10 1/242 [..............................] - ETA: 0s - loss: 0.0073 39/242 [===>..........................] - ETA: 0s - loss: 0.0724 74/242 [========>.....................] - ETA: 0s - loss: 0.0671 83/242 [=========>....................] - ETA: 0s - loss: 0.0669 116/242 [=============>................] - ETA: 0s - loss: 0.0705 150/242 [=================>............] - ETA: 0s - loss: 0.0690 186/242 [======================>.......] - ETA: 0s - loss: 0.0703 220/242 [==========================>...] - ETA: 0s - loss: 0.0707 239/242 [============================>.] - ETA: 0s - loss: 0.0681 242/242 [==============================] - 0s 2ms/step - loss: 0.0678 Epoch 7/10 1/242 [..............................] - ETA: 0s - loss: 0.0392 38/242 [===>..........................] - ETA: 0s - loss: 0.0473 77/242 [========>.....................] - ETA: 0s - loss: 0.0535 116/242 [=============>................] - ETA: 0s - loss: 0.0600 153/242 [=================>............] - ETA: 0s - loss: 0.0599 160/242 [==================>...........] - ETA: 0s - loss: 0.0593 199/242 [=======================>......] - ETA: 0s - loss: 0.0606 238/242 [============================>.] - ETA: 0s - loss: 0.0635 242/242 [==============================] - 0s 1ms/step - loss: 0.0630 Epoch 8/10 1/242 [..............................] - ETA: 0s - loss: 0.0394 38/242 [===>..........................] - ETA: 0s - loss: 0.0728 73/242 [========>.....................] - ETA: 0s - loss: 0.0727 96/242 [==========>...................] - ETA: 0s - loss: 0.0697 137/242 [===============>..............] - ETA: 0s - loss: 0.0675 176/242 [====================>.........] - ETA: 0s - loss: 0.0689 213/242 [=========================>....] - ETA: 0s - loss: 0.0685 234/242 [============================>.] - ETA: 0s - loss: 0.0656 242/242 [==============================] - 0s 2ms/step - loss: 0.0656 Epoch 9/10 1/242 [..............................] - ETA: 0s - loss: 0.0705 41/242 [====>.........................] - ETA: 0s - loss: 0.0437 82/242 [=========>....................] - ETA: 0s - loss: 0.0492 116/242 [=============>................] - ETA: 0s - loss: 0.0572 144/242 [================>.............] - ETA: 0s - loss: 0.0582 176/242 [====================>.........] - ETA: 0s - loss: 0.0583 217/242 [=========================>....] - ETA: 0s - loss: 0.0604 242/242 [==============================] - 0s 1ms/step - loss: 0.0624 Epoch 10/10 1/242 [..............................] - ETA: 0s - loss: 0.0281 34/242 [===>..........................] - ETA: 0s - loss: 0.0458 53/242 [=====>........................] - ETA: 0s - loss: 0.0555 79/242 [========>.....................] - ETA: 0s - loss: 0.0578 113/242 [=============>................] - ETA: 0s - loss: 0.0550 152/242 [=================>............] - ETA: 0s - loss: 0.0599 187/242 [======================>.......] - ETA: 0s - loss: 0.0625 210/242 [=========================>....] - ETA: 0s - loss: 0.0628 229/242 [===========================>..] - ETA: 0s - loss: 0.0609 242/242 [==============================] - 0s 2ms/step - loss: 0.0604 -> test with GAN.predict GAN tn, fp: 591, 9 GAN fn, tp: 9, 18 GAN f1 score: 0.667 GAN cohens kappa score: 0.652 -> test with 'LR' LR tn, fp: 510, 90 LR fn, tp: 5, 22 LR f1 score: 0.317 LR cohens kappa score: 0.266 LR average precision score: 0.287 -> test with 'RF' RF tn, fp: 596, 4 RF fn, tp: 3, 24 RF f1 score: 0.873 RF cohens kappa score: 0.867 -> test with 'GB' GB tn, fp: 593, 7 GB fn, tp: 1, 26 GB f1 score: 0.867 GB cohens kappa score: 0.860 -> test with 'KNN' KNN tn, fp: 577, 23 KNN fn, tp: 2, 25 KNN f1 score: 0.667 KNN cohens kappa score: 0.647 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 45s - loss: 0.7247 42/241 [====>.........................] - ETA: 0s - loss: 0.2033  82/241 [=========>....................] - ETA: 0s - loss: 0.1756 123/241 [==============>...............] - ETA: 0s - loss: 0.1528 163/241 [===================>..........] - ETA: 0s - loss: 0.1471 203/241 [========================>.....] - ETA: 0s - loss: 0.1442 241/241 [==============================] - 0s 1ms/step - loss: 0.1352 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0286 41/241 [====>.........................] - ETA: 0s - loss: 0.1092 80/241 [========>.....................] - ETA: 0s - loss: 0.1065 113/241 [=============>................] - ETA: 0s - loss: 0.1004 149/241 [=================>............] - ETA: 0s - loss: 0.0994 182/241 [=====================>........] - ETA: 0s - loss: 0.1026 221/241 [==========================>...] - ETA: 0s - loss: 0.0994 241/241 [==============================] - 0s 1ms/step - loss: 0.0965 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0355 41/241 [====>.........................] - ETA: 0s - loss: 0.0747 77/241 [========>.....................] - ETA: 0s - loss: 0.0747 116/241 [=============>................] - ETA: 0s - loss: 0.0814 155/241 [==================>...........] - ETA: 0s - loss: 0.0828 195/241 [=======================>......] - ETA: 0s - loss: 0.0865 235/241 [============================>.] - ETA: 0s - loss: 0.0935 241/241 [==============================] - 0s 1ms/step - loss: 0.0937 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.1667 43/241 [====>.........................] - ETA: 0s - loss: 0.0861 84/241 [=========>....................] - ETA: 0s - loss: 0.0827 125/241 [==============>...............] - ETA: 0s - loss: 0.0870 165/241 [===================>..........] - ETA: 0s - loss: 0.0865 203/241 [========================>.....] - ETA: 0s - loss: 0.0868 241/241 [==============================] - 0s 1ms/step - loss: 0.0832 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0449 39/241 [===>..........................] - ETA: 0s - loss: 0.0625 78/241 [========>.....................] - ETA: 0s - loss: 0.0629 118/241 [=============>................] - ETA: 0s - loss: 0.0748 155/241 [==================>...........] - ETA: 0s - loss: 0.0791 194/241 [=======================>......] - ETA: 0s - loss: 0.0814 232/241 [===========================>..] - ETA: 0s - loss: 0.0835 241/241 [==============================] - 0s 1ms/step - loss: 0.0827 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0145 41/241 [====>.........................] - ETA: 0s - loss: 0.0813 80/241 [========>.....................] - ETA: 0s - loss: 0.0813 120/241 [=============>................] - ETA: 0s - loss: 0.0794 161/241 [===================>..........] - ETA: 0s - loss: 0.0815 202/241 [========================>.....] - ETA: 0s - loss: 0.0794 241/241 [==============================] - 0s 1ms/step - loss: 0.0808 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0162 37/241 [===>..........................] - ETA: 0s - loss: 0.0825 74/241 [========>.....................] - ETA: 0s - loss: 0.0746 113/241 [=============>................] - ETA: 0s - loss: 0.0879 150/241 [=================>............] - ETA: 0s - loss: 0.0842 190/241 [======================>.......] - ETA: 0s - loss: 0.0814 231/241 [===========================>..] - ETA: 0s - loss: 0.0781 241/241 [==============================] - 0s 1ms/step - loss: 0.0791 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.1158 40/241 [===>..........................] - ETA: 0s - loss: 0.0708 78/241 [========>.....................] - ETA: 0s - loss: 0.0742 118/241 [=============>................] - ETA: 0s - loss: 0.0747 153/241 [==================>...........] - ETA: 0s - loss: 0.0724 189/241 [======================>.......] - ETA: 0s - loss: 0.0742 229/241 [===========================>..] - ETA: 0s - loss: 0.0752 241/241 [==============================] - 0s 1ms/step - loss: 0.0766 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.1227 40/241 [===>..........................] - ETA: 0s - loss: 0.0676 73/241 [========>.....................] - ETA: 0s - loss: 0.0877 108/241 [============>.................] - ETA: 0s - loss: 0.0856 142/241 [================>.............] - ETA: 0s - loss: 0.0827 181/241 [=====================>........] - ETA: 0s - loss: 0.0794 220/241 [==========================>...] - ETA: 0s - loss: 0.0785 241/241 [==============================] - 0s 1ms/step - loss: 0.0777 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.1757 40/241 [===>..........................] - ETA: 0s - loss: 0.0837 79/241 [========>.....................] - ETA: 0s - loss: 0.0740 118/241 [=============>................] - ETA: 0s - loss: 0.0725 157/241 [==================>...........] - ETA: 0s - loss: 0.0696 198/241 [=======================>......] - ETA: 0s - loss: 0.0674 239/241 [============================>.] - ETA: 0s - loss: 0.0678 241/241 [==============================] - 0s 1ms/step - loss: 0.0679 -> test with GAN.predict GAN tn, fp: 586, 17 GAN fn, tp: 10, 21 GAN f1 score: 0.609 GAN cohens kappa score: 0.586 -> test with 'LR' LR tn, fp: 525, 78 LR fn, tp: 5, 26 LR f1 score: 0.385 LR cohens kappa score: 0.335 LR average precision score: 0.389 -> test with 'RF' RF tn, fp: 597, 6 RF fn, tp: 7, 24 RF f1 score: 0.787 RF cohens kappa score: 0.776 -> test with 'GB' GB tn, fp: 593, 10 GB fn, tp: 3, 28 GB f1 score: 0.812 GB cohens kappa score: 0.801 -> test with 'KNN' KNN tn, fp: 566, 37 KNN fn, tp: 6, 25 KNN f1 score: 0.538 KNN cohens kappa score: 0.505 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 42s - loss: 0.4984 41/241 [====>.........................] - ETA: 0s - loss: 0.5046  79/241 [========>.....................] - ETA: 0s - loss: 0.3382 119/241 [=============>................] - ETA: 0s - loss: 0.2766 160/241 [==================>...........] - ETA: 0s - loss: 0.2373 200/241 [=======================>......] - ETA: 0s - loss: 0.2143 238/241 [============================>.] - ETA: 0s - loss: 0.1979 241/241 [==============================] - 0s 1ms/step - loss: 0.1965 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0888 42/241 [====>.........................] - ETA: 0s - loss: 0.0985 81/241 [=========>....................] - ETA: 0s - loss: 0.1024 122/241 [==============>...............] - ETA: 0s - loss: 0.1079 162/241 [===================>..........] - ETA: 0s - loss: 0.1054 202/241 [========================>.....] - ETA: 0s - loss: 0.1054 239/241 [============================>.] - ETA: 0s - loss: 0.1122 241/241 [==============================] - 0s 1ms/step - loss: 0.1119 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.1476 33/241 [===>..........................] - ETA: 0s - loss: 0.0996 66/241 [=======>......................] - ETA: 0s - loss: 0.1067 102/241 [===========>..................] - ETA: 0s - loss: 0.0980 141/241 [================>.............] - ETA: 0s - loss: 0.0966 178/241 [=====================>........] - ETA: 0s - loss: 0.0937 217/241 [==========================>...] - ETA: 0s - loss: 0.0970 241/241 [==============================] - 0s 1ms/step - loss: 0.0965 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.1537 41/241 [====>.........................] - ETA: 0s - loss: 0.0872 81/241 [=========>....................] - ETA: 0s - loss: 0.0815 120/241 [=============>................] - ETA: 0s - loss: 0.0764 159/241 [==================>...........] - ETA: 0s - loss: 0.0852 199/241 [=======================>......] - ETA: 0s - loss: 0.0892 239/241 [============================>.] - ETA: 0s - loss: 0.0922 241/241 [==============================] - 0s 1ms/step - loss: 0.0923 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0186 42/241 [====>.........................] - ETA: 0s - loss: 0.0702 82/241 [=========>....................] - ETA: 0s - loss: 0.0728 120/241 [=============>................] - ETA: 0s - loss: 0.0867 160/241 [==================>...........] - ETA: 0s - loss: 0.0846 201/241 [========================>.....] - ETA: 0s - loss: 0.0847 241/241 [==============================] - 0s 1ms/step - loss: 0.0857 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0230 40/241 [===>..........................] - ETA: 0s - loss: 0.0654 80/241 [========>.....................] - ETA: 0s - loss: 0.0900 117/241 [=============>................] - ETA: 0s - loss: 0.0898 155/241 [==================>...........] - ETA: 0s - loss: 0.0894 190/241 [======================>.......] - ETA: 0s - loss: 0.0855 225/241 [===========================>..] - ETA: 0s - loss: 0.0843 241/241 [==============================] - 0s 1ms/step - loss: 0.0833 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0356 41/241 [====>.........................] - ETA: 0s - loss: 0.0688 79/241 [========>.....................] - ETA: 0s - loss: 0.0759 119/241 [=============>................] - ETA: 0s - loss: 0.0800 155/241 [==================>...........] - ETA: 0s - loss: 0.0820 195/241 [=======================>......] - ETA: 0s - loss: 0.0827 236/241 [============================>.] - ETA: 0s - loss: 0.0823 241/241 [==============================] - 0s 1ms/step - loss: 0.0816 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0507 42/241 [====>.........................] - ETA: 0s - loss: 0.0677 80/241 [========>.....................] - ETA: 0s - loss: 0.0744 117/241 [=============>................] - ETA: 0s - loss: 0.0745 156/241 [==================>...........] - ETA: 0s - loss: 0.0754 194/241 [=======================>......] - ETA: 0s - loss: 0.0786 233/241 [============================>.] - ETA: 0s - loss: 0.0826 241/241 [==============================] - 0s 1ms/step - loss: 0.0832 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.1403 39/241 [===>..........................] - ETA: 0s - loss: 0.0939 75/241 [========>.....................] - ETA: 0s - loss: 0.0874 114/241 [=============>................] - ETA: 0s - loss: 0.0811 154/241 [==================>...........] - ETA: 0s - loss: 0.0806 191/241 [======================>.......] - ETA: 0s - loss: 0.0781 225/241 [===========================>..] - ETA: 0s - loss: 0.0837 241/241 [==============================] - 0s 1ms/step - loss: 0.0840 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.1050 35/241 [===>..........................] - ETA: 0s - loss: 0.1092 76/241 [========>.....................] - ETA: 0s - loss: 0.0859 116/241 [=============>................] - ETA: 0s - loss: 0.0865 154/241 [==================>...........] - ETA: 0s - loss: 0.0822 190/241 [======================>.......] - ETA: 0s - loss: 0.0841 224/241 [==========================>...] - ETA: 0s - loss: 0.0848 241/241 [==============================] - 0s 1ms/step - loss: 0.0842 -> test with GAN.predict GAN tn, fp: 585, 18 GAN fn, tp: 8, 23 GAN f1 score: 0.639 GAN cohens kappa score: 0.618 -> test with 'LR' LR tn, fp: 534, 69 LR fn, tp: 6, 25 LR f1 score: 0.400 LR cohens kappa score: 0.352 LR average precision score: 0.430 -> test with 'RF' RF tn, fp: 598, 5 RF fn, tp: 6, 25 RF f1 score: 0.820 RF cohens kappa score: 0.811 -> test with 'GB' GB tn, fp: 595, 8 GB fn, tp: 3, 28 GB f1 score: 0.836 GB cohens kappa score: 0.827 -> test with 'KNN' KNN tn, fp: 576, 27 KNN fn, tp: 4, 27 KNN f1 score: 0.635 KNN cohens kappa score: 0.611 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 54s - loss: 0.0181 40/241 [===>..........................] - ETA: 0s - loss: 0.1230  78/241 [========>.....................] - ETA: 0s - loss: 0.1094 109/241 [============>.................] - ETA: 0s - loss: 0.1008 142/241 [================>.............] - ETA: 0s - loss: 0.1059 160/241 [==================>...........] - ETA: 0s - loss: 0.1029 200/241 [=======================>......] - ETA: 0s - loss: 0.0982 240/241 [============================>.] - ETA: 0s - loss: 0.0952 241/241 [==============================] - 1s 2ms/step - loss: 0.0948 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0560 40/241 [===>..........................] - ETA: 0s - loss: 0.0751 75/241 [========>.....................] - ETA: 0s - loss: 0.0649 101/241 [===========>..................] - ETA: 0s - loss: 0.0644 131/241 [===============>..............] - ETA: 0s - loss: 0.0663 171/241 [====================>.........] - ETA: 0s - loss: 0.0676 209/241 [=========================>....] - ETA: 0s - loss: 0.0726 241/241 [==============================] - 0s 1ms/step - loss: 0.0740 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0412 36/241 [===>..........................] - ETA: 0s - loss: 0.0811 43/241 [====>.........................] - ETA: 0s - loss: 0.0802 76/241 [========>.....................] - ETA: 0s - loss: 0.0686 115/241 [=============>................] - ETA: 0s - loss: 0.0706 153/241 [==================>...........] - ETA: 0s - loss: 0.0697 189/241 [======================>.......] - ETA: 0s - loss: 0.0670 220/241 [==========================>...] - ETA: 0s - loss: 0.0673 241/241 [==============================] - ETA: 0s - loss: 0.0652 241/241 [==============================] - 0s 2ms/step - loss: 0.0652 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0439 41/241 [====>.........................] - ETA: 0s - loss: 0.0659 81/241 [=========>....................] - ETA: 0s - loss: 0.0703 122/241 [==============>...............] - ETA: 0s - loss: 0.0655 159/241 [==================>...........] - ETA: 0s - loss: 0.0642 172/241 [====================>.........] - ETA: 0s - loss: 0.0649 200/241 [=======================>......] - ETA: 0s - loss: 0.0633 240/241 [============================>.] - ETA: 0s - loss: 0.0614 241/241 [==============================] - 0s 1ms/step - loss: 0.0614 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.3490 40/241 [===>..........................] - ETA: 0s - loss: 0.0888 78/241 [========>.....................] - ETA: 0s - loss: 0.0754 107/241 [============>.................] - ETA: 0s - loss: 0.0686 123/241 [==============>...............] - ETA: 0s - loss: 0.0685 164/241 [===================>..........] - ETA: 0s - loss: 0.0674 204/241 [========================>.....] - ETA: 0s - loss: 0.0652 238/241 [============================>.] - ETA: 0s - loss: 0.0633 241/241 [==============================] - 0s 2ms/step - loss: 0.0629 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0107 33/241 [===>..........................] - ETA: 0s - loss: 0.0647 42/241 [====>.........................] - ETA: 0s - loss: 0.0669 68/241 [=======>......................] - ETA: 0s - loss: 0.0677 100/241 [===========>..................] - ETA: 0s - loss: 0.0623 134/241 [===============>..............] - ETA: 0s - loss: 0.0593 173/241 [====================>.........] - ETA: 0s - loss: 0.0580 211/241 [=========================>....] - ETA: 0s - loss: 0.0578 219/241 [==========================>...] - ETA: 0s - loss: 0.0564 241/241 [==============================] - 0s 2ms/step - loss: 0.0589 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0204 42/241 [====>.........................] - ETA: 0s - loss: 0.0522 80/241 [========>.....................] - ETA: 0s - loss: 0.0657 117/241 [=============>................] - ETA: 0s - loss: 0.0616 150/241 [=================>............] - ETA: 0s - loss: 0.0570 169/241 [====================>.........] - ETA: 0s - loss: 0.0582 209/241 [=========================>....] - ETA: 0s - loss: 0.0563 241/241 [==============================] - 0s 2ms/step - loss: 0.0589 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0853 41/241 [====>.........................] - ETA: 0s - loss: 0.0736 76/241 [========>.....................] - ETA: 0s - loss: 0.0678 92/241 [==========>...................] - ETA: 0s - loss: 0.0605 125/241 [==============>...............] - ETA: 0s - loss: 0.0591 165/241 [===================>..........] - ETA: 0s - loss: 0.0592 203/241 [========================>.....] - ETA: 0s - loss: 0.0575 239/241 [============================>.] - ETA: 0s - loss: 0.0575 241/241 [==============================] - 0s 2ms/step - loss: 0.0579 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0187 35/241 [===>..........................] - ETA: 0s - loss: 0.1055 54/241 [=====>........................] - ETA: 0s - loss: 0.0811 94/241 [==========>...................] - ETA: 0s - loss: 0.0670 134/241 [===============>..............] - ETA: 0s - loss: 0.0612 173/241 [====================>.........] - ETA: 0s - loss: 0.0605 211/241 [=========================>....] - ETA: 0s - loss: 0.0568 220/241 [==========================>...] - ETA: 0s - loss: 0.0558 241/241 [==============================] - 0s 2ms/step - loss: 0.0588 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.1827 42/241 [====>.........................] - ETA: 0s - loss: 0.0599 81/241 [=========>....................] - ETA: 0s - loss: 0.0592 119/241 [=============>................] - ETA: 0s - loss: 0.0618 156/241 [==================>...........] - ETA: 0s - loss: 0.0592 163/241 [===================>..........] - ETA: 0s - loss: 0.0582 197/241 [=======================>......] - ETA: 0s - loss: 0.0561 237/241 [============================>.] - ETA: 0s - loss: 0.0584 241/241 [==============================] - 0s 2ms/step - loss: 0.0581 -> test with GAN.predict GAN tn, fp: 584, 19 GAN fn, tp: 5, 26 GAN f1 score: 0.684 GAN cohens kappa score: 0.665 -> test with 'LR' LR tn, fp: 509, 94 LR fn, tp: 2, 29 LR f1 score: 0.377 LR cohens kappa score: 0.324 LR average precision score: 0.574 -> test with 'RF' RF tn, fp: 599, 4 RF fn, tp: 8, 23 RF f1 score: 0.793 RF cohens kappa score: 0.783 -> test with 'GB' GB tn, fp: 595, 8 GB fn, tp: 5, 26 GB f1 score: 0.800 GB cohens kappa score: 0.789 -> test with 'KNN' KNN tn, fp: 577, 26 KNN fn, tp: 5, 26 KNN f1 score: 0.627 KNN cohens kappa score: 0.602 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 45s - loss: 0.1606 42/241 [====>.........................] - ETA: 0s - loss: 0.1499  82/241 [=========>....................] - ETA: 0s - loss: 0.1301 122/241 [==============>...............] - ETA: 0s - loss: 0.1223 162/241 [===================>..........] - ETA: 0s - loss: 0.1113 202/241 [========================>.....] - ETA: 0s - loss: 0.1061 241/241 [==============================] - 0s 1ms/step - loss: 0.0992 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0426 41/241 [====>.........................] - ETA: 0s - loss: 0.0806 80/241 [========>.....................] - ETA: 0s - loss: 0.0831 119/241 [=============>................] - ETA: 0s - loss: 0.0871 158/241 [==================>...........] - ETA: 0s - loss: 0.0796 197/241 [=======================>......] - ETA: 0s - loss: 0.0767 237/241 [============================>.] - ETA: 0s - loss: 0.0761 241/241 [==============================] - 0s 1ms/step - loss: 0.0755 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0148 38/241 [===>..........................] - ETA: 0s - loss: 0.0876 79/241 [========>.....................] - ETA: 0s - loss: 0.0846 118/241 [=============>................] - ETA: 0s - loss: 0.0734 158/241 [==================>...........] - ETA: 0s - loss: 0.0695 198/241 [=======================>......] - ETA: 0s - loss: 0.0691 239/241 [============================>.] - ETA: 0s - loss: 0.0694 241/241 [==============================] - 0s 1ms/step - loss: 0.0691 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.3098 35/241 [===>..........................] - ETA: 0s - loss: 0.0782 69/241 [=======>......................] - ETA: 0s - loss: 0.0728 101/241 [===========>..................] - ETA: 0s - loss: 0.0717 138/241 [================>.............] - ETA: 0s - loss: 0.0779 178/241 [=====================>........] - ETA: 0s - loss: 0.0734 219/241 [==========================>...] - ETA: 0s - loss: 0.0711 241/241 [==============================] - 0s 1ms/step - loss: 0.0689 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0177 38/241 [===>..........................] - ETA: 0s - loss: 0.0659 76/241 [========>.....................] - ETA: 0s - loss: 0.0620 115/241 [=============>................] - ETA: 0s - loss: 0.0625 155/241 [==================>...........] - ETA: 0s - loss: 0.0620 196/241 [=======================>......] - ETA: 0s - loss: 0.0650 236/241 [============================>.] - ETA: 0s - loss: 0.0639 241/241 [==============================] - 0s 1ms/step - loss: 0.0631 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0278 42/241 [====>.........................] - ETA: 0s - loss: 0.0550 81/241 [=========>....................] - ETA: 0s - loss: 0.0722 122/241 [==============>...............] - ETA: 0s - loss: 0.0768 161/241 [===================>..........] - ETA: 0s - loss: 0.0687 200/241 [=======================>......] - ETA: 0s - loss: 0.0632 238/241 [============================>.] - ETA: 0s - loss: 0.0631 241/241 [==============================] - 0s 1ms/step - loss: 0.0632 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0211 42/241 [====>.........................] - ETA: 0s - loss: 0.0604 83/241 [=========>....................] - ETA: 0s - loss: 0.0578 123/241 [==============>...............] - ETA: 0s - loss: 0.0523 164/241 [===================>..........] - ETA: 0s - loss: 0.0550 205/241 [========================>.....] - ETA: 0s - loss: 0.0563 241/241 [==============================] - 0s 1ms/step - loss: 0.0612 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0510 41/241 [====>.........................] - ETA: 0s - loss: 0.0530 82/241 [=========>....................] - ETA: 0s - loss: 0.0487 120/241 [=============>................] - ETA: 0s - loss: 0.0560 160/241 [==================>...........] - ETA: 0s - loss: 0.0550 200/241 [=======================>......] - ETA: 0s - loss: 0.0568 238/241 [============================>.] - ETA: 0s - loss: 0.0555 241/241 [==============================] - 0s 1ms/step - loss: 0.0552 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0374 39/241 [===>..........................] - ETA: 0s - loss: 0.0468 76/241 [========>.....................] - ETA: 0s - loss: 0.0501 117/241 [=============>................] - ETA: 0s - loss: 0.0510 157/241 [==================>...........] - ETA: 0s - loss: 0.0530 198/241 [=======================>......] - ETA: 0s - loss: 0.0536 237/241 [============================>.] - ETA: 0s - loss: 0.0544 241/241 [==============================] - 0s 1ms/step - loss: 0.0544 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0280 42/241 [====>.........................] - ETA: 0s - loss: 0.0672 79/241 [========>.....................] - ETA: 0s - loss: 0.0641 119/241 [=============>................] - ETA: 0s - loss: 0.0551 159/241 [==================>...........] - ETA: 0s - loss: 0.0554 199/241 [=======================>......] - ETA: 0s - loss: 0.0557 236/241 [============================>.] - ETA: 0s - loss: 0.0573 241/241 [==============================] - 0s 1ms/step - loss: 0.0577 -> test with GAN.predict GAN tn, fp: 584, 19 GAN fn, tp: 8, 23 GAN f1 score: 0.630 GAN cohens kappa score: 0.608 -> test with 'LR' LR tn, fp: 500, 103 LR fn, tp: 3, 28 LR f1 score: 0.346 LR cohens kappa score: 0.289 LR average precision score: 0.429 -> test with 'RF' RF tn, fp: 601, 2 RF fn, tp: 7, 24 RF f1 score: 0.842 RF cohens kappa score: 0.835 -> test with 'GB' GB tn, fp: 594, 9 GB fn, tp: 3, 28 GB f1 score: 0.824 GB cohens kappa score: 0.814 -> test with 'KNN' KNN tn, fp: 568, 35 KNN fn, tp: 7, 24 KNN f1 score: 0.533 KNN cohens kappa score: 0.501 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2288 synthetic samples -> retrain GAN for predict Epoch 1/10 1/242 [..............................] - ETA: 53s - loss: 0.1147 40/242 [===>..........................] - ETA: 0s - loss: 0.1208  75/242 [========>.....................] - ETA: 0s - loss: 0.1110 92/242 [==========>...................] - ETA: 0s - loss: 0.1040 124/242 [==============>...............] - ETA: 0s - loss: 0.0972 158/242 [==================>...........] - ETA: 0s - loss: 0.0939 191/242 [======================>.......] - ETA: 0s - loss: 0.0931 223/242 [==========================>...] - ETA: 0s - loss: 0.0900 242/242 [==============================] - 1s 2ms/step - loss: 0.0899 Epoch 2/10 1/242 [..............................] - ETA: 0s - loss: 0.0446 15/242 [>.............................] - ETA: 0s - loss: 0.0843 52/242 [=====>........................] - ETA: 0s - loss: 0.0737 93/242 [==========>...................] - ETA: 0s - loss: 0.0738 132/242 [===============>..............] - ETA: 0s - loss: 0.0757 168/242 [===================>..........] - ETA: 0s - loss: 0.0736 181/242 [=====================>........] - ETA: 0s - loss: 0.0715 214/242 [=========================>....] - ETA: 0s - loss: 0.0728 242/242 [==============================] - 0s 2ms/step - loss: 0.0756 Epoch 3/10 1/242 [..............................] - ETA: 0s - loss: 0.0590 41/242 [====>.........................] - ETA: 0s - loss: 0.0602 78/242 [========>.....................] - ETA: 0s - loss: 0.0675 110/242 [============>.................] - ETA: 0s - loss: 0.0639 132/242 [===============>..............] - ETA: 0s - loss: 0.0676 172/242 [====================>.........] - ETA: 0s - loss: 0.0670 212/242 [=========================>....] - ETA: 0s - loss: 0.0676 242/242 [==============================] - 0s 1ms/step - loss: 0.0701 Epoch 4/10 1/242 [..............................] - ETA: 0s - loss: 0.1278 38/242 [===>..........................] - ETA: 0s - loss: 0.0579 50/242 [=====>........................] - ETA: 0s - loss: 0.0516 85/242 [=========>....................] - ETA: 0s - loss: 0.0612 125/242 [==============>...............] - ETA: 0s - loss: 0.0625 163/242 [===================>..........] - ETA: 0s - loss: 0.0565 197/242 [=======================>......] - ETA: 0s - loss: 0.0592 227/242 [===========================>..] - ETA: 0s - loss: 0.0625 242/242 [==============================] - 0s 2ms/step - loss: 0.0628 Epoch 5/10 1/242 [..............................] - ETA: 0s - loss: 0.0160 43/242 [====>.........................] - ETA: 0s - loss: 0.0567 81/242 [=========>....................] - ETA: 0s - loss: 0.0683 118/242 [=============>................] - ETA: 0s - loss: 0.0604 155/242 [==================>...........] - ETA: 0s - loss: 0.0595 173/242 [====================>.........] - ETA: 0s - loss: 0.0578 215/242 [=========================>....] - ETA: 0s - loss: 0.0597 242/242 [==============================] - 0s 1ms/step - loss: 0.0620 Epoch 6/10 1/242 [..............................] - ETA: 0s - loss: 0.0183 41/242 [====>.........................] - ETA: 0s - loss: 0.0558 75/242 [========>.....................] - ETA: 0s - loss: 0.0614 94/242 [==========>...................] - ETA: 0s - loss: 0.0641 123/242 [==============>...............] - ETA: 0s - loss: 0.0601 164/242 [===================>..........] - ETA: 0s - loss: 0.0594 204/242 [========================>.....] - ETA: 0s - loss: 0.0594 240/242 [============================>.] - ETA: 0s - loss: 0.0631 242/242 [==============================] - 0s 1ms/step - loss: 0.0629 Epoch 7/10 1/242 [..............................] - ETA: 0s - loss: 0.0762 21/242 [=>............................] - ETA: 0s - loss: 0.0413 39/242 [===>..........................] - ETA: 0s - loss: 0.0459 74/242 [========>.....................] - ETA: 0s - loss: 0.0526 109/242 [============>.................] - ETA: 0s - loss: 0.0551 146/242 [=================>............] - ETA: 0s - loss: 0.0564 180/242 [=====================>........] - ETA: 0s - loss: 0.0563 190/242 [======================>.......] - ETA: 0s - loss: 0.0556 228/242 [===========================>..] - ETA: 0s - loss: 0.0591 242/242 [==============================] - 0s 2ms/step - loss: 0.0600 Epoch 8/10 1/242 [..............................] - ETA: 0s - loss: 0.0243 40/242 [===>..........................] - ETA: 0s - loss: 0.0612 79/242 [========>.....................] - ETA: 0s - loss: 0.0559 116/242 [=============>................] - ETA: 0s - loss: 0.0538 124/242 [==============>...............] - ETA: 0s - loss: 0.0540 161/242 [==================>...........] - ETA: 0s - loss: 0.0549 201/242 [=======================>......] - ETA: 0s - loss: 0.0560 240/242 [============================>.] - ETA: 0s - loss: 0.0589 242/242 [==============================] - 0s 1ms/step - loss: 0.0589 Epoch 9/10 1/242 [..............................] - ETA: 0s - loss: 0.0098 38/242 [===>..........................] - ETA: 0s - loss: 0.0579 56/242 [=====>........................] - ETA: 0s - loss: 0.0551 94/242 [==========>...................] - ETA: 0s - loss: 0.0533 135/242 [===============>..............] - ETA: 0s - loss: 0.0551 173/242 [====================>.........] - ETA: 0s - loss: 0.0570 207/242 [========================>.....] - ETA: 0s - loss: 0.0563 223/242 [==========================>...] - ETA: 0s - loss: 0.0569 242/242 [==============================] - 0s 2ms/step - loss: 0.0573 Epoch 10/10 1/242 [..............................] - ETA: 0s - loss: 0.0021 41/242 [====>.........................] - ETA: 0s - loss: 0.0543 81/242 [=========>....................] - ETA: 0s - loss: 0.0541 120/242 [=============>................] - ETA: 0s - loss: 0.0604 157/242 [==================>...........] - ETA: 0s - loss: 0.0596 164/242 [===================>..........] - ETA: 0s - loss: 0.0584 203/242 [========================>.....] - ETA: 0s - loss: 0.0594 242/242 [==============================] - 0s 1ms/step - loss: 0.0599 -> test with GAN.predict GAN tn, fp: 584, 16 GAN fn, tp: 9, 18 GAN f1 score: 0.590 GAN cohens kappa score: 0.569 -> test with 'LR' LR tn, fp: 521, 79 LR fn, tp: 8, 19 LR f1 score: 0.304 LR cohens kappa score: 0.254 LR average precision score: 0.404 -> test with 'RF' RF tn, fp: 597, 3 RF fn, tp: 9, 18 RF f1 score: 0.750 RF cohens kappa score: 0.740 -> test with 'GB' GB tn, fp: 594, 6 GB fn, tp: 6, 21 GB f1 score: 0.778 GB cohens kappa score: 0.768 -> test with 'KNN' KNN tn, fp: 569, 31 KNN fn, tp: 5, 22 KNN f1 score: 0.550 KNN cohens kappa score: 0.523 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 50s - loss: 1.1288 42/241 [====>.........................] - ETA: 0s - loss: 0.2330  81/241 [=========>....................] - ETA: 0s - loss: 0.1944 115/241 [=============>................] - ETA: 0s - loss: 0.1628 131/241 [===============>..............] - ETA: 0s - loss: 0.1493 162/241 [===================>..........] - ETA: 0s - loss: 0.1347 203/241 [========================>.....] - ETA: 0s - loss: 0.1267 241/241 [==============================] - 1s 1ms/step - loss: 0.1192 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0353 36/241 [===>..........................] - ETA: 0s - loss: 0.0837 59/241 [======>.......................] - ETA: 0s - loss: 0.0866 89/241 [==========>...................] - ETA: 0s - loss: 0.0797 129/241 [===============>..............] - ETA: 0s - loss: 0.0872 166/241 [===================>..........] - ETA: 0s - loss: 0.0896 198/241 [=======================>......] - ETA: 0s - loss: 0.0896 231/241 [===========================>..] - ETA: 0s - loss: 0.0843 241/241 [==============================] - 0s 2ms/step - loss: 0.0856 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0603 36/241 [===>..........................] - ETA: 0s - loss: 0.0773 77/241 [========>.....................] - ETA: 0s - loss: 0.0728 116/241 [=============>................] - ETA: 0s - loss: 0.0713 151/241 [=================>............] - ETA: 0s - loss: 0.0697 164/241 [===================>..........] - ETA: 0s - loss: 0.0723 195/241 [=======================>......] - ETA: 0s - loss: 0.0715 235/241 [============================>.] - ETA: 0s - loss: 0.0739 241/241 [==============================] - 0s 2ms/step - loss: 0.0740 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0603 40/241 [===>..........................] - ETA: 0s - loss: 0.0573 70/241 [=======>......................] - ETA: 0s - loss: 0.0634 75/241 [========>.....................] - ETA: 0s - loss: 0.0663 99/241 [===========>..................] - ETA: 0s - loss: 0.0604 138/241 [================>.............] - ETA: 0s - loss: 0.0666 178/241 [=====================>........] - ETA: 0s - loss: 0.0701 213/241 [=========================>....] - ETA: 0s - loss: 0.0688 231/241 [===========================>..] - ETA: 0s - loss: 0.0701 241/241 [==============================] - 0s 2ms/step - loss: 0.0718 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.1193 40/241 [===>..........................] - ETA: 0s - loss: 0.0746 80/241 [========>.....................] - ETA: 0s - loss: 0.0750 118/241 [=============>................] - ETA: 0s - loss: 0.0650 151/241 [=================>............] - ETA: 0s - loss: 0.0680 171/241 [====================>.........] - ETA: 0s - loss: 0.0667 210/241 [=========================>....] - ETA: 0s - loss: 0.0646 241/241 [==============================] - 0s 2ms/step - loss: 0.0666 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0491 36/241 [===>..........................] - ETA: 0s - loss: 0.0477 68/241 [=======>......................] - ETA: 0s - loss: 0.0562 88/241 [=========>....................] - ETA: 0s - loss: 0.0648 129/241 [===============>..............] - ETA: 0s - loss: 0.0670 169/241 [====================>.........] - ETA: 0s - loss: 0.0624 206/241 [========================>.....] - ETA: 0s - loss: 0.0645 234/241 [============================>.] - ETA: 0s - loss: 0.0641 241/241 [==============================] - 0s 2ms/step - loss: 0.0639 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0636 41/241 [====>.........................] - ETA: 0s - loss: 0.0547 81/241 [=========>....................] - ETA: 0s - loss: 0.0615 119/241 [=============>................] - ETA: 0s - loss: 0.0617 153/241 [==================>...........] - ETA: 0s - loss: 0.0677 174/241 [====================>.........] - ETA: 0s - loss: 0.0662 215/241 [=========================>....] - ETA: 0s - loss: 0.0657 241/241 [==============================] - 0s 1ms/step - loss: 0.0643 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0193 40/241 [===>..........................] - ETA: 0s - loss: 0.0476 76/241 [========>.....................] - ETA: 0s - loss: 0.0477 88/241 [=========>....................] - ETA: 0s - loss: 0.0512 121/241 [==============>...............] - ETA: 0s - loss: 0.0563 161/241 [===================>..........] - ETA: 0s - loss: 0.0592 201/241 [========================>.....] - ETA: 0s - loss: 0.0628 238/241 [============================>.] - ETA: 0s - loss: 0.0605 241/241 [==============================] - 0s 2ms/step - loss: 0.0605 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0251 15/241 [>.............................] - ETA: 0s - loss: 0.0409 47/241 [====>.........................] - ETA: 0s - loss: 0.0554 88/241 [=========>....................] - ETA: 0s - loss: 0.0587 128/241 [==============>...............] - ETA: 0s - loss: 0.0624 163/241 [===================>..........] - ETA: 0s - loss: 0.0622 177/241 [=====================>........] - ETA: 0s - loss: 0.0601 201/241 [========================>.....] - ETA: 0s - loss: 0.0598 236/241 [============================>.] - ETA: 0s - loss: 0.0598 241/241 [==============================] - 0s 2ms/step - loss: 0.0590 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0991 37/241 [===>..........................] - ETA: 0s - loss: 0.0666 73/241 [========>.....................] - ETA: 0s - loss: 0.0579 86/241 [=========>....................] - ETA: 0s - loss: 0.0595 116/241 [=============>................] - ETA: 0s - loss: 0.0657 156/241 [==================>...........] - ETA: 0s - loss: 0.0653 195/241 [=======================>......] - ETA: 0s - loss: 0.0606 231/241 [===========================>..] - ETA: 0s - loss: 0.0599 241/241 [==============================] - 0s 2ms/step - loss: 0.0592 -> test with GAN.predict GAN tn, fp: 571, 32 GAN fn, tp: 5, 26 GAN f1 score: 0.584 GAN cohens kappa score: 0.556 -> test with 'LR' LR tn, fp: 525, 78 LR fn, tp: 5, 26 LR f1 score: 0.385 LR cohens kappa score: 0.335 LR average precision score: 0.397 -> test with 'RF' RF tn, fp: 598, 5 RF fn, tp: 7, 24 RF f1 score: 0.800 RF cohens kappa score: 0.790 -> test with 'GB' GB tn, fp: 591, 12 GB fn, tp: 6, 25 GB f1 score: 0.735 GB cohens kappa score: 0.720 -> test with 'KNN' KNN tn, fp: 580, 23 KNN fn, tp: 6, 25 KNN f1 score: 0.633 KNN cohens kappa score: 0.610 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 52s - loss: 0.1060 34/241 [===>..........................] - ETA: 0s - loss: 0.2093  68/241 [=======>......................] - ETA: 0s - loss: 0.1686 107/241 [============>.................] - ETA: 0s - loss: 0.1415 143/241 [================>.............] - ETA: 0s - loss: 0.1341 177/241 [=====================>........] - ETA: 0s - loss: 0.1311 214/241 [=========================>....] - ETA: 0s - loss: 0.1295 241/241 [==============================] - 1s 1ms/step - loss: 0.1242 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0339 35/241 [===>..........................] - ETA: 0s - loss: 0.0893 68/241 [=======>......................] - ETA: 0s - loss: 0.0725 102/241 [===========>..................] - ETA: 0s - loss: 0.0745 139/241 [================>.............] - ETA: 0s - loss: 0.0770 177/241 [=====================>........] - ETA: 0s - loss: 0.0766 213/241 [=========================>....] - ETA: 0s - loss: 0.0805 241/241 [==============================] - 0s 1ms/step - loss: 0.0799 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0163 34/241 [===>..........................] - ETA: 0s - loss: 0.0624 70/241 [=======>......................] - ETA: 0s - loss: 0.0679 104/241 [===========>..................] - ETA: 0s - loss: 0.0728 138/241 [================>.............] - ETA: 0s - loss: 0.0720 172/241 [====================>.........] - ETA: 0s - loss: 0.0704 209/241 [=========================>....] - ETA: 0s - loss: 0.0704 241/241 [==============================] - 0s 1ms/step - loss: 0.0697 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.1723 35/241 [===>..........................] - ETA: 0s - loss: 0.0580 69/241 [=======>......................] - ETA: 0s - loss: 0.0685 104/241 [===========>..................] - ETA: 0s - loss: 0.0700 138/241 [================>.............] - ETA: 0s - loss: 0.0671 172/241 [====================>.........] - ETA: 0s - loss: 0.0664 211/241 [=========================>....] - ETA: 0s - loss: 0.0671 241/241 [==============================] - 0s 1ms/step - loss: 0.0667 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0123 35/241 [===>..........................] - ETA: 0s - loss: 0.0553 68/241 [=======>......................] - ETA: 0s - loss: 0.0623 100/241 [===========>..................] - ETA: 0s - loss: 0.0651 131/241 [===============>..............] - ETA: 0s - loss: 0.0626 160/241 [==================>...........] - ETA: 0s - loss: 0.0613 189/241 [======================>.......] - ETA: 0s - loss: 0.0629 226/241 [===========================>..] - ETA: 0s - loss: 0.0639 241/241 [==============================] - 0s 2ms/step - loss: 0.0628 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0443 39/241 [===>..........................] - ETA: 0s - loss: 0.0682 77/241 [========>.....................] - ETA: 0s - loss: 0.0684 111/241 [============>.................] - ETA: 0s - loss: 0.0680 116/241 [=============>................] - ETA: 0s - loss: 0.0699 151/241 [=================>............] - ETA: 0s - loss: 0.0664 184/241 [=====================>........] - ETA: 0s - loss: 0.0642 200/241 [=======================>......] - ETA: 0s - loss: 0.0642 236/241 [============================>.] - ETA: 0s - loss: 0.0634 241/241 [==============================] - 0s 2ms/step - loss: 0.0631 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0419 30/241 [==>...........................] - ETA: 0s - loss: 0.0498 57/241 [======>.......................] - ETA: 0s - loss: 0.0698 91/241 [==========>...................] - ETA: 0s - loss: 0.0722 125/241 [==============>...............] - ETA: 0s - loss: 0.0661 160/241 [==================>...........] - ETA: 0s - loss: 0.0659 190/241 [======================>.......] - ETA: 0s - loss: 0.0641 225/241 [===========================>..] - ETA: 0s - loss: 0.0631 241/241 [==============================] - 0s 2ms/step - loss: 0.0613 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0155 38/241 [===>..........................] - ETA: 0s - loss: 0.0620 73/241 [========>.....................] - ETA: 0s - loss: 0.0720 107/241 [============>.................] - ETA: 0s - loss: 0.0687 142/241 [================>.............] - ETA: 0s - loss: 0.0632 176/241 [====================>.........] - ETA: 0s - loss: 0.0605 210/241 [=========================>....] - ETA: 0s - loss: 0.0632 241/241 [==============================] - 0s 1ms/step - loss: 0.0623 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0315 36/241 [===>..........................] - ETA: 0s - loss: 0.0504 65/241 [=======>......................] - ETA: 0s - loss: 0.0500 101/241 [===========>..................] - ETA: 0s - loss: 0.0531 136/241 [===============>..............] - ETA: 0s - loss: 0.0520 168/241 [===================>..........] - ETA: 0s - loss: 0.0556 198/241 [=======================>......] - ETA: 0s - loss: 0.0566 234/241 [============================>.] - ETA: 0s - loss: 0.0563 241/241 [==============================] - 0s 2ms/step - loss: 0.0552 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.1023 36/241 [===>..........................] - ETA: 0s - loss: 0.0626 71/241 [=======>......................] - ETA: 0s - loss: 0.0555 102/241 [===========>..................] - ETA: 0s - loss: 0.0586 134/241 [===============>..............] - ETA: 0s - loss: 0.0537 166/241 [===================>..........] - ETA: 0s - loss: 0.0549 201/241 [========================>.....] - ETA: 0s - loss: 0.0562 236/241 [============================>.] - ETA: 0s - loss: 0.0570 241/241 [==============================] - 0s 2ms/step - loss: 0.0564 -> test with GAN.predict GAN tn, fp: 591, 12 GAN fn, tp: 9, 22 GAN f1 score: 0.677 GAN cohens kappa score: 0.660 -> test with 'LR' LR tn, fp: 514, 89 LR fn, tp: 4, 27 LR f1 score: 0.367 LR cohens kappa score: 0.314 LR average precision score: 0.477 -> test with 'RF' RF tn, fp: 601, 2 RF fn, tp: 6, 25 RF f1 score: 0.862 RF cohens kappa score: 0.855 -> test with 'GB' GB tn, fp: 595, 8 GB fn, tp: 2, 29 GB f1 score: 0.853 GB cohens kappa score: 0.845 -> test with 'KNN' KNN tn, fp: 569, 34 KNN fn, tp: 7, 24 KNN f1 score: 0.539 KNN cohens kappa score: 0.508 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 1:03 - loss: 0.5548 27/241 [==>...........................] - ETA: 0s - loss: 0.3160  58/241 [======>.......................] - ETA: 0s - loss: 0.1933 79/241 [========>.....................] - ETA: 0s - loss: 0.1631 94/241 [==========>...................] - ETA: 0s - loss: 0.1483 135/241 [===============>..............] - ETA: 0s - loss: 0.1269 175/241 [====================>.........] - ETA: 0s - loss: 0.1175 213/241 [=========================>....] - ETA: 0s - loss: 0.1102 241/241 [==============================] - 1s 2ms/step - loss: 0.1038 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0591 22/241 [=>............................] - ETA: 0s - loss: 0.0430 63/241 [======>.......................] - ETA: 0s - loss: 0.0567 103/241 [===========>..................] - ETA: 0s - loss: 0.0584 141/241 [================>.............] - ETA: 0s - loss: 0.0615 174/241 [====================>.........] - ETA: 0s - loss: 0.0630 194/241 [=======================>......] - ETA: 0s - loss: 0.0671 221/241 [==========================>...] - ETA: 0s - loss: 0.0661 241/241 [==============================] - 0s 2ms/step - loss: 0.0666 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.0142 38/241 [===>..........................] - ETA: 0s - loss: 0.0543 73/241 [========>.....................] - ETA: 0s - loss: 0.0557 108/241 [============>.................] - ETA: 0s - loss: 0.0530 117/241 [=============>................] - ETA: 0s - loss: 0.0558 151/241 [=================>............] - ETA: 0s - loss: 0.0604 187/241 [======================>.......] - ETA: 0s - loss: 0.0594 225/241 [===========================>..] - ETA: 0s - loss: 0.0594 241/241 [==============================] - 0s 2ms/step - loss: 0.0600 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0133 26/241 [==>...........................] - ETA: 0s - loss: 0.0453 50/241 [=====>........................] - ETA: 0s - loss: 0.0510 89/241 [==========>...................] - ETA: 0s - loss: 0.0681 130/241 [===============>..............] - ETA: 0s - loss: 0.0617 168/241 [===================>..........] - ETA: 0s - loss: 0.0632 203/241 [========================>.....] - ETA: 0s - loss: 0.0608 211/241 [=========================>....] - ETA: 0s - loss: 0.0606 241/241 [==============================] - 0s 2ms/step - loss: 0.0595 Epoch 5/10 1/241 [..............................] - ETA: 0s - loss: 0.0930 40/241 [===>..........................] - ETA: 0s - loss: 0.0653 77/241 [========>.....................] - ETA: 0s - loss: 0.0619 112/241 [============>.................] - ETA: 0s - loss: 0.0547 127/241 [==============>...............] - ETA: 0s - loss: 0.0533 156/241 [==================>...........] - ETA: 0s - loss: 0.0560 196/241 [=======================>......] - ETA: 0s - loss: 0.0582 234/241 [============================>.] - ETA: 0s - loss: 0.0574 241/241 [==============================] - 0s 2ms/step - loss: 0.0576 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0710 39/241 [===>..........................] - ETA: 0s - loss: 0.0459 78/241 [========>.....................] - ETA: 0s - loss: 0.0517 118/241 [=============>................] - ETA: 0s - loss: 0.0573 152/241 [=================>............] - ETA: 0s - loss: 0.0575 183/241 [=====================>........] - ETA: 0s - loss: 0.0602 215/241 [=========================>....] - ETA: 0s - loss: 0.0587 241/241 [==============================] - 0s 1ms/step - loss: 0.0573 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0077 40/241 [===>..........................] - ETA: 0s - loss: 0.0636 79/241 [========>.....................] - ETA: 0s - loss: 0.0560 118/241 [=============>................] - ETA: 0s - loss: 0.0545 157/241 [==================>...........] - ETA: 0s - loss: 0.0520 193/241 [=======================>......] - ETA: 0s - loss: 0.0530 226/241 [===========================>..] - ETA: 0s - loss: 0.0542 241/241 [==============================] - 0s 1ms/step - loss: 0.0539 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0842 41/241 [====>.........................] - ETA: 0s - loss: 0.0562 80/241 [========>.....................] - ETA: 0s - loss: 0.0611 118/241 [=============>................] - ETA: 0s - loss: 0.0597 155/241 [==================>...........] - ETA: 0s - loss: 0.0537 192/241 [======================>.......] - ETA: 0s - loss: 0.0529 229/241 [===========================>..] - ETA: 0s - loss: 0.0545 241/241 [==============================] - 0s 1ms/step - loss: 0.0544 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0024 37/241 [===>..........................] - ETA: 0s - loss: 0.0487 78/241 [========>.....................] - ETA: 0s - loss: 0.0472 116/241 [=============>................] - ETA: 0s - loss: 0.0439 152/241 [=================>............] - ETA: 0s - loss: 0.0497 186/241 [======================>.......] - ETA: 0s - loss: 0.0506 224/241 [==========================>...] - ETA: 0s - loss: 0.0520 241/241 [==============================] - 0s 1ms/step - loss: 0.0566 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0063 39/241 [===>..........................] - ETA: 0s - loss: 0.0534 68/241 [=======>......................] - ETA: 0s - loss: 0.0495 108/241 [============>.................] - ETA: 0s - loss: 0.0501 148/241 [=================>............] - ETA: 0s - loss: 0.0469 185/241 [======================>.......] - ETA: 0s - loss: 0.0484 224/241 [==========================>...] - ETA: 0s - loss: 0.0509 241/241 [==============================] - 0s 1ms/step - loss: 0.0522 -> test with GAN.predict GAN tn, fp: 586, 17 GAN fn, tp: 12, 19 GAN f1 score: 0.567 GAN cohens kappa score: 0.543 -> test with 'LR' LR tn, fp: 504, 99 LR fn, tp: 3, 28 LR f1 score: 0.354 LR cohens kappa score: 0.299 LR average precision score: 0.486 -> test with 'RF' RF tn, fp: 599, 4 RF fn, tp: 10, 21 RF f1 score: 0.750 RF cohens kappa score: 0.739 -> test with 'GB' GB tn, fp: 595, 8 GB fn, tp: 8, 23 GB f1 score: 0.742 GB cohens kappa score: 0.729 -> test with 'KNN' KNN tn, fp: 576, 27 KNN fn, tp: 8, 23 KNN f1 score: 0.568 KNN cohens kappa score: 0.540 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2289 synthetic samples -> retrain GAN for predict Epoch 1/10 1/241 [..............................] - ETA: 52s - loss: 0.1280 43/241 [====>.........................] - ETA: 0s - loss: 0.2338  84/241 [=========>....................] - ETA: 0s - loss: 0.1987 122/241 [==============>...............] - ETA: 0s - loss: 0.1683 157/241 [==================>...........] - ETA: 0s - loss: 0.1580 179/241 [=====================>........] - ETA: 0s - loss: 0.1515 212/241 [=========================>....] - ETA: 0s - loss: 0.1405 241/241 [==============================] - 1s 2ms/step - loss: 0.1345 Epoch 2/10 1/241 [..............................] - ETA: 0s - loss: 0.0911 35/241 [===>..........................] - ETA: 0s - loss: 0.0917 60/241 [======>.......................] - ETA: 0s - loss: 0.0909 73/241 [========>.....................] - ETA: 0s - loss: 0.0888 108/241 [============>.................] - ETA: 0s - loss: 0.0845 147/241 [=================>............] - ETA: 0s - loss: 0.0882 184/241 [=====================>........] - ETA: 0s - loss: 0.0938 220/241 [==========================>...] - ETA: 0s - loss: 0.0964 238/241 [============================>.] - ETA: 0s - loss: 0.0936 241/241 [==============================] - 0s 2ms/step - loss: 0.0931 Epoch 3/10 1/241 [..............................] - ETA: 0s - loss: 0.2248 41/241 [====>.........................] - ETA: 0s - loss: 0.0872 82/241 [=========>....................] - ETA: 0s - loss: 0.0861 120/241 [=============>................] - ETA: 0s - loss: 0.0892 152/241 [=================>............] - ETA: 0s - loss: 0.0949 163/241 [===================>..........] - ETA: 0s - loss: 0.0938 198/241 [=======================>......] - ETA: 0s - loss: 0.0890 237/241 [============================>.] - ETA: 0s - loss: 0.0864 241/241 [==============================] - 0s 2ms/step - loss: 0.0856 Epoch 4/10 1/241 [..............................] - ETA: 0s - loss: 0.0114 39/241 [===>..........................] - ETA: 0s - loss: 0.0861 73/241 [========>.....................] - ETA: 0s - loss: 0.0881 84/241 [=========>....................] - ETA: 0s - loss: 0.0854 117/241 [=============>................] - ETA: 0s - loss: 0.0864 157/241 [==================>...........] - ETA: 0s - loss: 0.0786 196/241 [=======================>......] - ETA: 0s - loss: 0.0796 231/241 [===========================>..] - ETA: 0s - loss: 0.0801 241/241 [==============================] - 0s 2ms/step - loss: 0.0798 Epoch 5/10 1/241 [..............................] - ETA: 1s - loss: 0.0294 17/241 [=>............................] - ETA: 0s - loss: 0.1015 52/241 [=====>........................] - ETA: 0s - loss: 0.0836 91/241 [==========>...................] - ETA: 0s - loss: 0.0906 130/241 [===============>..............] - ETA: 0s - loss: 0.0851 165/241 [===================>..........] - ETA: 0s - loss: 0.0844 173/241 [====================>.........] - ETA: 0s - loss: 0.0844 211/241 [=========================>....] - ETA: 0s - loss: 0.0798 241/241 [==============================] - 0s 2ms/step - loss: 0.0773 Epoch 6/10 1/241 [..............................] - ETA: 0s - loss: 0.0680 38/241 [===>..........................] - ETA: 0s - loss: 0.0717 68/241 [=======>......................] - ETA: 0s - loss: 0.0766 84/241 [=========>....................] - ETA: 0s - loss: 0.0748 114/241 [=============>................] - ETA: 0s - loss: 0.0726 155/241 [==================>...........] - ETA: 0s - loss: 0.0732 195/241 [=======================>......] - ETA: 0s - loss: 0.0714 230/241 [===========================>..] - ETA: 0s - loss: 0.0713 241/241 [==============================] - 0s 2ms/step - loss: 0.0712 Epoch 7/10 1/241 [..............................] - ETA: 0s - loss: 0.0606 10/241 [>.............................] - ETA: 1s - loss: 0.0799 38/241 [===>..........................] - ETA: 0s - loss: 0.0684 68/241 [=======>......................] - ETA: 0s - loss: 0.0628 105/241 [============>.................] - ETA: 0s - loss: 0.0603 141/241 [================>.............] - ETA: 0s - loss: 0.0609 165/241 [===================>..........] - ETA: 0s - loss: 0.0633 184/241 [=====================>........] - ETA: 0s - loss: 0.0683 223/241 [==========================>...] - ETA: 0s - loss: 0.0670 241/241 [==============================] - 0s 2ms/step - loss: 0.0681 Epoch 8/10 1/241 [..............................] - ETA: 0s - loss: 0.0470 35/241 [===>..........................] - ETA: 0s - loss: 0.0794 72/241 [=======>......................] - ETA: 0s - loss: 0.0661 104/241 [===========>..................] - ETA: 0s - loss: 0.0703 119/241 [=============>................] - ETA: 0s - loss: 0.0694 158/241 [==================>...........] - ETA: 0s - loss: 0.0685 195/241 [=======================>......] - ETA: 0s - loss: 0.0675 231/241 [===========================>..] - ETA: 0s - loss: 0.0684 241/241 [==============================] - 0s 2ms/step - loss: 0.0678 Epoch 9/10 1/241 [..............................] - ETA: 0s - loss: 0.0745 23/241 [=>............................] - ETA: 0s - loss: 0.0538 47/241 [====>.........................] - ETA: 0s - loss: 0.0598 85/241 [=========>....................] - ETA: 0s - loss: 0.0561 124/241 [==============>...............] - ETA: 0s - loss: 0.0601 159/241 [==================>...........] - ETA: 0s - loss: 0.0614 183/241 [=====================>........] - ETA: 0s - loss: 0.0629 197/241 [=======================>......] - ETA: 0s - loss: 0.0675 236/241 [============================>.] - ETA: 0s - loss: 0.0715 241/241 [==============================] - 0s 2ms/step - loss: 0.0705 Epoch 10/10 1/241 [..............................] - ETA: 0s - loss: 0.0068 41/241 [====>.........................] - ETA: 0s - loss: 0.0559 77/241 [========>.....................] - ETA: 0s - loss: 0.0584 109/241 [============>.................] - ETA: 0s - loss: 0.0573 123/241 [==============>...............] - ETA: 0s - loss: 0.0579 157/241 [==================>...........] - ETA: 0s - loss: 0.0630 197/241 [=======================>......] - ETA: 0s - loss: 0.0644 234/241 [============================>.] - ETA: 0s - loss: 0.0651 241/241 [==============================] - 0s 2ms/step - loss: 0.0661 -> test with GAN.predict GAN tn, fp: 588, 15 GAN fn, tp: 3, 28 GAN f1 score: 0.757 GAN cohens kappa score: 0.742 -> test with 'LR' LR tn, fp: 509, 94 LR fn, tp: 4, 27 LR f1 score: 0.355 LR cohens kappa score: 0.301 LR average precision score: 0.559 -> test with 'RF' RF tn, fp: 599, 4 RF fn, tp: 4, 27 RF f1 score: 0.871 RF cohens kappa score: 0.864 -> test with 'GB' GB tn, fp: 594, 9 GB fn, tp: 2, 29 GB f1 score: 0.841 GB cohens kappa score: 0.832 -> test with 'KNN' KNN tn, fp: 575, 28 KNN fn, tp: 7, 24 KNN f1 score: 0.578 KNN cohens kappa score: 0.551 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2288 synthetic samples -> retrain GAN for predict Epoch 1/10 1/242 [..............................] - ETA: 47s - loss: 0.2515 40/242 [===>..........................] - ETA: 0s - loss: 0.2213  78/242 [========>.....................] - ETA: 0s - loss: 0.1829 117/242 [=============>................] - ETA: 0s - loss: 0.1673 156/242 [==================>...........] - ETA: 0s - loss: 0.1523 195/242 [=======================>......] - ETA: 0s - loss: 0.1443 233/242 [===========================>..] - ETA: 0s - loss: 0.1393 242/242 [==============================] - 1s 1ms/step - loss: 0.1377 Epoch 2/10 1/242 [..............................] - ETA: 0s - loss: 0.0416 39/242 [===>..........................] - ETA: 0s - loss: 0.1014 79/242 [========>.....................] - ETA: 0s - loss: 0.0965 118/242 [=============>................] - ETA: 0s - loss: 0.1012 153/242 [=================>............] - ETA: 0s - loss: 0.0967 188/242 [======================>.......] - ETA: 0s - loss: 0.0933 221/242 [==========================>...] - ETA: 0s - loss: 0.0960 242/242 [==============================] - 0s 1ms/step - loss: 0.0948 Epoch 3/10 1/242 [..............................] - ETA: 0s - loss: 0.1228 39/242 [===>..........................] - ETA: 0s - loss: 0.0817 75/242 [========>.....................] - ETA: 0s - loss: 0.0837 111/242 [============>.................] - ETA: 0s - loss: 0.0862 148/242 [=================>............] - ETA: 0s - loss: 0.0857 187/242 [======================>.......] - ETA: 0s - loss: 0.0869 226/242 [===========================>..] - ETA: 0s - loss: 0.0874 242/242 [==============================] - 0s 1ms/step - loss: 0.0850 Epoch 4/10 1/242 [..............................] - ETA: 0s - loss: 0.0136 41/242 [====>.........................] - ETA: 0s - loss: 0.0861 79/242 [========>.....................] - ETA: 0s - loss: 0.0775 115/242 [=============>................] - ETA: 0s - loss: 0.0778 155/242 [==================>...........] - ETA: 0s - loss: 0.0845 191/242 [======================>.......] - ETA: 0s - loss: 0.0809 228/242 [===========================>..] - ETA: 0s - loss: 0.0789 242/242 [==============================] - 0s 1ms/step - loss: 0.0784 Epoch 5/10 1/242 [..............................] - ETA: 0s - loss: 0.2234 41/242 [====>.........................] - ETA: 0s - loss: 0.0768 79/242 [========>.....................] - ETA: 0s - loss: 0.0743 117/242 [=============>................] - ETA: 0s - loss: 0.0666 155/242 [==================>...........] - ETA: 0s - loss: 0.0643 193/242 [======================>.......] - ETA: 0s - loss: 0.0720 225/242 [==========================>...] - ETA: 0s - loss: 0.0767 242/242 [==============================] - 0s 1ms/step - loss: 0.0767 Epoch 6/10 1/242 [..............................] - ETA: 0s - loss: 0.0845 31/242 [==>...........................] - ETA: 0s - loss: 0.0756 68/242 [=======>......................] - ETA: 0s - loss: 0.0652 107/242 [============>.................] - ETA: 0s - loss: 0.0688 146/242 [=================>............] - ETA: 0s - loss: 0.0665 185/242 [=====================>........] - ETA: 0s - loss: 0.0652 223/242 [==========================>...] - ETA: 0s - loss: 0.0709 242/242 [==============================] - 0s 1ms/step - loss: 0.0719 Epoch 7/10 1/242 [..............................] - ETA: 0s - loss: 0.1593 40/242 [===>..........................] - ETA: 0s - loss: 0.0752 79/242 [========>.....................] - ETA: 0s - loss: 0.0885 117/242 [=============>................] - ETA: 0s - loss: 0.0786 153/242 [=================>............] - ETA: 0s - loss: 0.0804 191/242 [======================>.......] - ETA: 0s - loss: 0.0753 230/242 [===========================>..] - ETA: 0s - loss: 0.0708 242/242 [==============================] - 0s 1ms/step - loss: 0.0709 Epoch 8/10 1/242 [..............................] - ETA: 0s - loss: 0.0220 39/242 [===>..........................] - ETA: 0s - loss: 0.0878 79/242 [========>.....................] - ETA: 0s - loss: 0.0770 118/242 [=============>................] - ETA: 0s - loss: 0.0703 156/242 [==================>...........] - ETA: 0s - loss: 0.0758 195/242 [=======================>......] - ETA: 0s - loss: 0.0759 234/242 [============================>.] - ETA: 0s - loss: 0.0751 242/242 [==============================] - 0s 1ms/step - loss: 0.0736 Epoch 9/10 1/242 [..............................] - ETA: 0s - loss: 0.1279 36/242 [===>..........................] - ETA: 0s - loss: 0.0678 73/242 [========>.....................] - ETA: 0s - loss: 0.0697 112/242 [============>.................] - ETA: 0s - loss: 0.0656 151/242 [=================>............] - ETA: 0s - loss: 0.0720 185/242 [=====================>........] - ETA: 0s - loss: 0.0710 221/242 [==========================>...] - ETA: 0s - loss: 0.0711 242/242 [==============================] - 0s 1ms/step - loss: 0.0689 Epoch 10/10 1/242 [..............................] - ETA: 0s - loss: 0.0030 41/242 [====>.........................] - ETA: 0s - loss: 0.0364 80/242 [========>.....................] - ETA: 0s - loss: 0.0561 118/242 [=============>................] - ETA: 0s - loss: 0.0523 155/242 [==================>...........] - ETA: 0s - loss: 0.0522 194/242 [=======================>......] - ETA: 0s - loss: 0.0594 229/242 [===========================>..] - ETA: 0s - loss: 0.0617 242/242 [==============================] - 0s 1ms/step - loss: 0.0609 -> test with GAN.predict GAN tn, fp: 574, 26 GAN fn, tp: 4, 23 GAN f1 score: 0.605 GAN cohens kappa score: 0.582 -> test with 'LR' LR tn, fp: 519, 81 LR fn, tp: 3, 24 LR f1 score: 0.364 LR cohens kappa score: 0.317 LR average precision score: 0.300 -> test with 'RF' RF tn, fp: 594, 6 RF fn, tp: 10, 17 RF f1 score: 0.680 RF cohens kappa score: 0.667 -> test with 'GB' GB tn, fp: 588, 12 GB fn, tp: 5, 22 GB f1 score: 0.721 GB cohens kappa score: 0.707 -> test with 'KNN' KNN tn, fp: 569, 31 KNN fn, tp: 5, 22 KNN f1 score: 0.550 KNN cohens kappa score: 0.523 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 534, 103 LR fn, tp: 10, 31 LR f1 score: 0.416 LR cohens kappa score: 0.367 LR average precision score: 0.574 average: LR tn, fp: 514.28, 88.12 LR fn, tp: 4.24, 25.96 LR f1 score: 0.360 LR cohens kappa score: 0.308 LR average precision score: 0.436 minimum: LR tn, fp: 497, 69 LR fn, tp: 0, 19 LR f1 score: 0.304 LR cohens kappa score: 0.254 LR average precision score: 0.281 -----[ RF ]----- maximum: RF tn, fp: 601, 9 RF fn, tp: 13, 27 RF f1 score: 0.873 RF cohens kappa score: 0.867 average: RF tn, fp: 597.64, 4.76 RF fn, tp: 7.24, 22.96 RF f1 score: 0.791 RF cohens kappa score: 0.781 minimum: RF tn, fp: 594, 2 RF fn, tp: 3, 17 RF f1 score: 0.680 RF cohens kappa score: 0.667 -----[ GB ]----- maximum: GB tn, fp: 601, 17 GB fn, tp: 8, 29 GB f1 score: 0.867 GB cohens kappa score: 0.860 average: GB tn, fp: 592.4, 10.0 GB fn, tp: 4.08, 26.12 GB f1 score: 0.789 GB cohens kappa score: 0.777 minimum: GB tn, fp: 586, 2 GB fn, tp: 1, 21 GB f1 score: 0.721 GB cohens kappa score: 0.707 -----[ KNN ]----- maximum: KNN tn, fp: 580, 37 KNN fn, tp: 10, 27 KNN f1 score: 0.667 KNN cohens kappa score: 0.647 average: KNN tn, fp: 573.2, 29.2 KNN fn, tp: 6.12, 24.08 KNN f1 score: 0.578 KNN cohens kappa score: 0.551 minimum: KNN tn, fp: 565, 23 KNN fn, tp: 2, 21 KNN f1 score: 0.523 KNN cohens kappa score: 0.490 -----[ GAN ]----- maximum: GAN tn, fp: 594, 46 GAN fn, tp: 12, 30 GAN f1 score: 0.757 GAN cohens kappa score: 0.742 average: GAN tn, fp: 580.4, 22.0 GAN fn, tp: 6.84, 23.36 GAN f1 score: 0.625 GAN cohens kappa score: 0.602 minimum: GAN tn, fp: 557, 6 GAN fn, tp: 1, 18 GAN f1 score: 0.547 GAN cohens kappa score: 0.515