/////////////////////////////////////////// // Running convGAN-majority-5 on folding_winequality-red-4 /////////////////////////////////////////// Load 'data_input/folding_winequality-red-4' from pickle file Data loaded. -> Shuffling data ### Start exercise for synthetic point generator ====== Step 1/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 1/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 1:00 - loss: 0.4768 13/124 [==>...........................] - ETA: 0s - loss: 0.5458  26/124 [=====>........................] - ETA: 0s - loss: 0.5136 41/124 [========>.....................] - ETA: 0s - loss: 0.5127 55/124 [============>.................] - ETA: 0s - loss: 0.5013 71/124 [================>.............] - ETA: 0s - loss: 0.4961 82/124 [==================>...........] - ETA: 0s - loss: 0.4947 93/124 [=====================>........] - ETA: 0s - loss: 0.4958 106/124 [========================>.....] - ETA: 0s - loss: 0.4992 121/124 [============================>.] - ETA: 0s - loss: 0.4971 124/124 [==============================] - 1s 4ms/step - loss: 0.4968 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4026 15/124 [==>...........................] - ETA: 0s - loss: 0.4657 27/124 [=====>........................] - ETA: 0s - loss: 0.4761 41/124 [========>.....................] - ETA: 0s - loss: 0.4840 54/124 [============>.................] - ETA: 0s - loss: 0.4863 68/124 [===============>..............] - ETA: 0s - loss: 0.4875 82/124 [==================>...........] - ETA: 0s - loss: 0.4819 97/124 [======================>.......] - ETA: 0s - loss: 0.4856 109/124 [=========================>....] - ETA: 0s - loss: 0.4842 120/124 [============================>.] - ETA: 0s - loss: 0.4831 124/124 [==============================] - 0s 4ms/step - loss: 0.4815 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5150 13/124 [==>...........................] - ETA: 0s - loss: 0.4639 26/124 [=====>........................] - ETA: 0s - loss: 0.4724 42/124 [=========>....................] - ETA: 0s - loss: 0.4764 55/124 [============>.................] - ETA: 0s - loss: 0.4771 68/124 [===============>..............] - ETA: 0s - loss: 0.4778 79/124 [==================>...........] - ETA: 0s - loss: 0.4771 92/124 [=====================>........] - ETA: 0s - loss: 0.4770 103/124 [=======================>......] - ETA: 0s - loss: 0.4753 120/124 [============================>.] - ETA: 0s - loss: 0.4755 124/124 [==============================] - 0s 4ms/step - loss: 0.4747 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4538 15/124 [==>...........................] - ETA: 0s - loss: 0.4741 28/124 [=====>........................] - ETA: 0s - loss: 0.4607 42/124 [=========>....................] - ETA: 0s - loss: 0.4649 52/124 [===========>..................] - ETA: 0s - loss: 0.4674 63/124 [==============>...............] - ETA: 0s - loss: 0.4718 78/124 [=================>............] - ETA: 0s - loss: 0.4699 90/124 [====================>.........] - ETA: 0s - loss: 0.4744 105/124 [========================>.....] - ETA: 0s - loss: 0.4675 117/124 [===========================>..] - ETA: 0s - loss: 0.4661 124/124 [==============================] - 0s 4ms/step - loss: 0.4644 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4415 14/124 [==>...........................] - ETA: 0s - loss: 0.4402 24/124 [====>.........................] - ETA: 0s - loss: 0.4551 34/124 [=======>......................] - ETA: 0s - loss: 0.4517 44/124 [=========>....................] - ETA: 0s - loss: 0.4464 58/124 [=============>................] - ETA: 0s - loss: 0.4437 68/124 [===============>..............] - ETA: 0s - loss: 0.4492 78/124 [=================>............] - ETA: 0s - loss: 0.4499 94/124 [=====================>........] - ETA: 0s - loss: 0.4555 105/124 [========================>.....] - ETA: 0s - loss: 0.4524 116/124 [===========================>..] - ETA: 0s - loss: 0.4543 124/124 [==============================] - 1s 4ms/step - loss: 0.4539 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.6242 15/124 [==>...........................] - ETA: 0s - loss: 0.4834 27/124 [=====>........................] - ETA: 0s - loss: 0.4745 39/124 [========>.....................] - ETA: 0s - loss: 0.4679 55/124 [============>.................] - ETA: 0s - loss: 0.4620 68/124 [===============>..............] - ETA: 0s - loss: 0.4557 80/124 [==================>...........] - ETA: 0s - loss: 0.4570 92/124 [=====================>........] - ETA: 0s - loss: 0.4501 106/124 [========================>.....] - ETA: 0s - loss: 0.4472 118/124 [===========================>..] - ETA: 0s - loss: 0.4484 124/124 [==============================] - 0s 4ms/step - loss: 0.4480 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4467 14/124 [==>...........................] - ETA: 0s - loss: 0.4447 28/124 [=====>........................] - ETA: 0s - loss: 0.4483 40/124 [========>.....................] - ETA: 0s - loss: 0.4441 53/124 [===========>..................] - ETA: 0s - loss: 0.4337 64/124 [==============>...............] - ETA: 0s - loss: 0.4317 75/124 [=================>............] - ETA: 0s - loss: 0.4347 89/124 [====================>.........] - ETA: 0s - loss: 0.4326 99/124 [======================>.......] - ETA: 0s - loss: 0.4367 108/124 [=========================>....] - ETA: 0s - loss: 0.4386 124/124 [==============================] - ETA: 0s - loss: 0.4346 124/124 [==============================] - 1s 4ms/step - loss: 0.4346 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3637 11/124 [=>............................] - ETA: 0s - loss: 0.4483 24/124 [====>.........................] - ETA: 0s - loss: 0.4350 35/124 [=======>......................] - ETA: 0s - loss: 0.4301 44/124 [=========>....................] - ETA: 0s - loss: 0.4383 52/124 [===========>..................] - ETA: 0s - loss: 0.4342 63/124 [==============>...............] - ETA: 0s - loss: 0.4330 73/124 [================>.............] - ETA: 0s - loss: 0.4273 84/124 [===================>..........] - ETA: 0s - loss: 0.4270 95/124 [=====================>........] - ETA: 0s - loss: 0.4262 107/124 [========================>.....] - ETA: 0s - loss: 0.4284 116/124 [===========================>..] - ETA: 0s - loss: 0.4246 124/124 [==============================] - 1s 5ms/step - loss: 0.4267 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3448 14/124 [==>...........................] - ETA: 0s - loss: 0.3963 25/124 [=====>........................] - ETA: 0s - loss: 0.4222 35/124 [=======>......................] - ETA: 0s - loss: 0.4264 45/124 [=========>....................] - ETA: 0s - loss: 0.4298 54/124 [============>.................] - ETA: 0s - loss: 0.4285 62/124 [==============>...............] - ETA: 0s - loss: 0.4271 72/124 [================>.............] - ETA: 0s - loss: 0.4239 83/124 [===================>..........] - ETA: 0s - loss: 0.4239 92/124 [=====================>........] - ETA: 0s - loss: 0.4182 99/124 [======================>.......] - ETA: 0s - loss: 0.4191 112/124 [==========================>...] - ETA: 0s - loss: 0.4215 122/124 [============================>.] - ETA: 0s - loss: 0.4179 124/124 [==============================] - 1s 5ms/step - loss: 0.4187 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4127 10/124 [=>............................] - ETA: 0s - loss: 0.4422 23/124 [====>.........................] - ETA: 0s - loss: 0.4207 35/124 [=======>......................] - ETA: 0s - loss: 0.4127 46/124 [==========>...................] - ETA: 0s - loss: 0.4089 58/124 [=============>................] - ETA: 0s - loss: 0.4112 69/124 [===============>..............] - ETA: 0s - loss: 0.4127 77/124 [=================>............] - ETA: 0s - loss: 0.4122 89/124 [====================>.........] - ETA: 0s - loss: 0.4138 99/124 [======================>.......] - ETA: 0s - loss: 0.4128 109/124 [=========================>....] - ETA: 0s - loss: 0.4092 119/124 [===========================>..] - ETA: 0s - loss: 0.4106 124/124 [==============================] - 1s 5ms/step - loss: 0.4098 -> test with GAN.predict GAN tn, fp: 212, 98 GAN fn, tp: 4, 7 GAN f1 score: 0.121 GAN cohens kappa score: 0.063 -> test with 'LR' LR tn, fp: 210, 100 LR fn, tp: 6, 5 LR f1 score: 0.086 LR cohens kappa score: 0.026 LR average precision score: 0.095 -> test with 'RF' RF tn, fp: 309, 1 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.006 -> test with 'GB' GB tn, fp: 284, 26 GB fn, tp: 11, 0 GB f1 score: 0.000 GB cohens kappa score: -0.051 -> test with 'KNN' KNN tn, fp: 206, 104 KNN fn, tp: 8, 3 KNN f1 score: 0.051 KNN cohens kappa score: -0.012 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 23s - loss: 0.4301 25/124 [=====>........................] - ETA: 0s - loss: 0.4842  51/124 [===========>..................] - ETA: 0s - loss: 0.4743 81/124 [==================>...........] - ETA: 0s - loss: 0.4774 110/124 [=========================>....] - ETA: 0s - loss: 0.4751 124/124 [==============================] - 0s 2ms/step - loss: 0.4738 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4416 32/124 [======>.......................] - ETA: 0s - loss: 0.4364 57/124 [============>.................] - ETA: 0s - loss: 0.4565 91/124 [=====================>........] - ETA: 0s - loss: 0.4589 121/124 [============================>.] - ETA: 0s - loss: 0.4602 124/124 [==============================] - 0s 2ms/step - loss: 0.4593 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4543 33/124 [======>.......................] - ETA: 0s - loss: 0.4700 64/124 [==============>...............] - ETA: 0s - loss: 0.4550 93/124 [=====================>........] - ETA: 0s - loss: 0.4533 122/124 [============================>.] - ETA: 0s - loss: 0.4497 124/124 [==============================] - 0s 2ms/step - loss: 0.4504 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3431 29/124 [======>.......................] - ETA: 0s - loss: 0.4602 55/124 [============>.................] - ETA: 0s - loss: 0.4611 86/124 [===================>..........] - ETA: 0s - loss: 0.4573 115/124 [==========================>...] - ETA: 0s - loss: 0.4511 124/124 [==============================] - 0s 2ms/step - loss: 0.4568 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4567 30/124 [======>.......................] - ETA: 0s - loss: 0.4596 61/124 [=============>................] - ETA: 0s - loss: 0.4551 88/124 [====================>.........] - ETA: 0s - loss: 0.4352 113/124 [==========================>...] - ETA: 0s - loss: 0.4384 124/124 [==============================] - 0s 2ms/step - loss: 0.4378 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3781 22/124 [====>.........................] - ETA: 0s - loss: 0.4622 44/124 [=========>....................] - ETA: 0s - loss: 0.4379 68/124 [===============>..............] - ETA: 0s - loss: 0.4366 93/124 [=====================>........] - ETA: 0s - loss: 0.4359 121/124 [============================>.] - ETA: 0s - loss: 0.4300 124/124 [==============================] - 0s 2ms/step - loss: 0.4272 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3587 30/124 [======>.......................] - ETA: 0s - loss: 0.4274 59/124 [=============>................] - ETA: 0s - loss: 0.4412 87/124 [====================>.........] - ETA: 0s - loss: 0.4317 118/124 [===========================>..] - ETA: 0s - loss: 0.4328 124/124 [==============================] - 0s 2ms/step - loss: 0.4316 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3859 30/124 [======>.......................] - ETA: 0s - loss: 0.4039 56/124 [============>.................] - ETA: 0s - loss: 0.4053 87/124 [====================>.........] - ETA: 0s - loss: 0.4094 113/124 [==========================>...] - ETA: 0s - loss: 0.4066 124/124 [==============================] - 0s 2ms/step - loss: 0.4107 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4669 28/124 [=====>........................] - ETA: 0s - loss: 0.4085 59/124 [=============>................] - ETA: 0s - loss: 0.4158 85/124 [===================>..........] - ETA: 0s - loss: 0.4068 110/124 [=========================>....] - ETA: 0s - loss: 0.4032 124/124 [==============================] - 0s 2ms/step - loss: 0.4072 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2395 28/124 [=====>........................] - ETA: 0s - loss: 0.3915 56/124 [============>.................] - ETA: 0s - loss: 0.3871 78/124 [=================>............] - ETA: 0s - loss: 0.4001 105/124 [========================>.....] - ETA: 0s - loss: 0.4040 124/124 [==============================] - 0s 2ms/step - loss: 0.3977 -> test with GAN.predict GAN tn, fp: 260, 50 GAN fn, tp: 6, 5 GAN f1 score: 0.152 GAN cohens kappa score: 0.100 -> test with 'LR' LR tn, fp: 226, 84 LR fn, tp: 4, 7 LR f1 score: 0.137 LR cohens kappa score: 0.081 LR average precision score: 0.114 -> test with 'RF' RF tn, fp: 303, 7 RF fn, tp: 9, 2 RF f1 score: 0.200 RF cohens kappa score: 0.175 -> test with 'GB' GB tn, fp: 292, 18 GB fn, tp: 9, 2 GB f1 score: 0.129 GB cohens kappa score: 0.089 -> test with 'KNN' KNN tn, fp: 226, 84 KNN fn, tp: 5, 6 KNN f1 score: 0.119 KNN cohens kappa score: 0.061 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 1:03 - loss: 0.5268 27/124 [=====>........................] - ETA: 0s - loss: 0.4970  47/124 [==========>...................] - ETA: 0s - loss: 0.4883 69/124 [===============>..............] - ETA: 0s - loss: 0.4854 90/124 [====================>.........] - ETA: 0s - loss: 0.4912 117/124 [===========================>..] - ETA: 0s - loss: 0.4871 124/124 [==============================] - 1s 2ms/step - loss: 0.4872 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4823 22/124 [====>.........................] - ETA: 0s - loss: 0.4859 43/124 [=========>....................] - ETA: 0s - loss: 0.4841 59/124 [=============>................] - ETA: 0s - loss: 0.4856 76/124 [=================>............] - ETA: 0s - loss: 0.4764 97/124 [======================>.......] - ETA: 0s - loss: 0.4752 117/124 [===========================>..] - ETA: 0s - loss: 0.4763 124/124 [==============================] - 0s 3ms/step - loss: 0.4778 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4313 12/124 [=>............................] - ETA: 0s - loss: 0.5303 23/124 [====>.........................] - ETA: 0s - loss: 0.4981 35/124 [=======>......................] - ETA: 0s - loss: 0.4836 47/124 [==========>...................] - ETA: 0s - loss: 0.4828 59/124 [=============>................] - ETA: 0s - loss: 0.4750 71/124 [================>.............] - ETA: 0s - loss: 0.4773 82/124 [==================>...........] - ETA: 0s - loss: 0.4750 92/124 [=====================>........] - ETA: 0s - loss: 0.4736 104/124 [========================>.....] - ETA: 0s - loss: 0.4728 115/124 [==========================>...] - ETA: 0s - loss: 0.4672 124/124 [==============================] - 1s 5ms/step - loss: 0.4676 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.5566 12/124 [=>............................] - ETA: 0s - loss: 0.4533 24/124 [====>.........................] - ETA: 0s - loss: 0.4563 37/124 [=======>......................] - ETA: 0s - loss: 0.4581 50/124 [===========>..................] - ETA: 0s - loss: 0.4677 61/124 [=============>................] - ETA: 0s - loss: 0.4748 74/124 [================>.............] - ETA: 0s - loss: 0.4725 87/124 [====================>.........] - ETA: 0s - loss: 0.4667 100/124 [=======================>......] - ETA: 0s - loss: 0.4644 111/124 [=========================>....] - ETA: 0s - loss: 0.4643 122/124 [============================>.] - ETA: 0s - loss: 0.4653 124/124 [==============================] - 1s 4ms/step - loss: 0.4664 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4833 12/124 [=>............................] - ETA: 0s - loss: 0.4581 25/124 [=====>........................] - ETA: 0s - loss: 0.4647 37/124 [=======>......................] - ETA: 0s - loss: 0.4616 49/124 [==========>...................] - ETA: 0s - loss: 0.4539 60/124 [=============>................] - ETA: 0s - loss: 0.4523 74/124 [================>.............] - ETA: 0s - loss: 0.4615 85/124 [===================>..........] - ETA: 0s - loss: 0.4569 97/124 [======================>.......] - ETA: 0s - loss: 0.4537 109/124 [=========================>....] - ETA: 0s - loss: 0.4514 121/124 [============================>.] - ETA: 0s - loss: 0.4549 124/124 [==============================] - 1s 4ms/step - loss: 0.4543 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4527 13/124 [==>...........................] - ETA: 0s - loss: 0.4209 25/124 [=====>........................] - ETA: 0s - loss: 0.4273 38/124 [========>.....................] - ETA: 0s - loss: 0.4400 50/124 [===========>..................] - ETA: 0s - loss: 0.4347 61/124 [=============>................] - ETA: 0s - loss: 0.4358 73/124 [================>.............] - ETA: 0s - loss: 0.4380 84/124 [===================>..........] - ETA: 0s - loss: 0.4516 94/124 [=====================>........] - ETA: 0s - loss: 0.4431 103/124 [=======================>......] - ETA: 0s - loss: 0.4435 112/124 [==========================>...] - ETA: 0s - loss: 0.4445 124/124 [==============================] - 1s 5ms/step - loss: 0.4463 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.5131 16/124 [==>...........................] - ETA: 0s - loss: 0.4761 28/124 [=====>........................] - ETA: 0s - loss: 0.4349 40/124 [========>.....................] - ETA: 0s - loss: 0.4424 51/124 [===========>..................] - ETA: 0s - loss: 0.4327 62/124 [==============>...............] - ETA: 0s - loss: 0.4371 73/124 [================>.............] - ETA: 0s - loss: 0.4365 85/124 [===================>..........] - ETA: 0s - loss: 0.4434 97/124 [======================>.......] - ETA: 0s - loss: 0.4436 110/124 [=========================>....] - ETA: 0s - loss: 0.4449 124/124 [==============================] - ETA: 0s - loss: 0.4410 124/124 [==============================] - 1s 4ms/step - loss: 0.4410 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4456 14/124 [==>...........................] - ETA: 0s - loss: 0.4067 27/124 [=====>........................] - ETA: 0s - loss: 0.4369 39/124 [========>.....................] - ETA: 0s - loss: 0.4291 51/124 [===========>..................] - ETA: 0s - loss: 0.4224 63/124 [==============>...............] - ETA: 0s - loss: 0.4251 77/124 [=================>............] - ETA: 0s - loss: 0.4303 91/124 [=====================>........] - ETA: 0s - loss: 0.4337 103/124 [=======================>......] - ETA: 0s - loss: 0.4333 113/124 [==========================>...] - ETA: 0s - loss: 0.4349 124/124 [==============================] - 1s 4ms/step - loss: 0.4351 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3553 17/124 [===>..........................] - ETA: 0s - loss: 0.3908 38/124 [========>.....................] - ETA: 0s - loss: 0.4201 62/124 [==============>...............] - ETA: 0s - loss: 0.4279 78/124 [=================>............] - ETA: 0s - loss: 0.4234 89/124 [====================>.........] - ETA: 0s - loss: 0.4282 100/124 [=======================>......] - ETA: 0s - loss: 0.4285 110/124 [=========================>....] - ETA: 0s - loss: 0.4308 121/124 [============================>.] - ETA: 0s - loss: 0.4307 124/124 [==============================] - 0s 3ms/step - loss: 0.4324 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3203 13/124 [==>...........................] - ETA: 0s - loss: 0.4803 24/124 [====>.........................] - ETA: 0s - loss: 0.4625 36/124 [=======>......................] - ETA: 0s - loss: 0.4480 46/124 [==========>...................] - ETA: 0s - loss: 0.4460 57/124 [============>.................] - ETA: 0s - loss: 0.4400 65/124 [==============>...............] - ETA: 0s - loss: 0.4333 75/124 [=================>............] - ETA: 0s - loss: 0.4311 83/124 [===================>..........] - ETA: 0s - loss: 0.4313 95/124 [=====================>........] - ETA: 0s - loss: 0.4332 108/124 [=========================>....] - ETA: 0s - loss: 0.4335 116/124 [===========================>..] - ETA: 0s - loss: 0.4316 124/124 [==============================] - 1s 5ms/step - loss: 0.4325 -> test with GAN.predict GAN tn, fp: 215, 95 GAN fn, tp: 5, 6 GAN f1 score: 0.107 GAN cohens kappa score: 0.048 -> test with 'LR' LR tn, fp: 188, 122 LR fn, tp: 1, 10 LR f1 score: 0.140 LR cohens kappa score: 0.082 LR average precision score: 0.246 -> test with 'RF' RF tn, fp: 305, 5 RF fn, tp: 10, 1 RF f1 score: 0.118 RF cohens kappa score: 0.096 -> test with 'GB' GB tn, fp: 282, 28 GB fn, tp: 5, 6 GB f1 score: 0.267 GB cohens kappa score: 0.227 -> test with 'KNN' KNN tn, fp: 203, 107 KNN fn, tp: 8, 3 KNN f1 score: 0.050 KNN cohens kappa score: -0.014 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 33s - loss: 0.4276 22/124 [====>.........................] - ETA: 0s - loss: 0.4205  45/124 [=========>....................] - ETA: 0s - loss: 0.4290 68/124 [===============>..............] - ETA: 0s - loss: 0.4234 89/124 [====================>.........] - ETA: 0s - loss: 0.4269 111/124 [=========================>....] - ETA: 0s - loss: 0.4252 124/124 [==============================] - 1s 2ms/step - loss: 0.4243 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4360 21/124 [====>.........................] - ETA: 0s - loss: 0.3854 43/124 [=========>....................] - ETA: 0s - loss: 0.4000 63/124 [==============>...............] - ETA: 0s - loss: 0.4059 86/124 [===================>..........] - ETA: 0s - loss: 0.4126 110/124 [=========================>....] - ETA: 0s - loss: 0.4126 124/124 [==============================] - 0s 2ms/step - loss: 0.4104 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3127 24/124 [====>.........................] - ETA: 0s - loss: 0.3935 48/124 [==========>...................] - ETA: 0s - loss: 0.4042 71/124 [================>.............] - ETA: 0s - loss: 0.3936 93/124 [=====================>........] - ETA: 0s - loss: 0.4021 115/124 [==========================>...] - ETA: 0s - loss: 0.4061 124/124 [==============================] - 0s 2ms/step - loss: 0.4056 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3713 21/124 [====>.........................] - ETA: 0s - loss: 0.4003 43/124 [=========>....................] - ETA: 0s - loss: 0.4054 66/124 [==============>...............] - ETA: 0s - loss: 0.3989 88/124 [====================>.........] - ETA: 0s - loss: 0.4027 108/124 [=========================>....] - ETA: 0s - loss: 0.3973 124/124 [==============================] - 0s 2ms/step - loss: 0.3956 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4179 31/124 [======>.......................] - ETA: 0s - loss: 0.3564 64/124 [==============>...............] - ETA: 0s - loss: 0.3749 97/124 [======================>.......] - ETA: 0s - loss: 0.3823 124/124 [==============================] - 0s 2ms/step - loss: 0.3818 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4486 26/124 [=====>........................] - ETA: 0s - loss: 0.3610 63/124 [==============>...............] - ETA: 0s - loss: 0.3607 96/124 [======================>.......] - ETA: 0s - loss: 0.3762 124/124 [==============================] - 0s 2ms/step - loss: 0.3769 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2783 28/124 [=====>........................] - ETA: 0s - loss: 0.3589 59/124 [=============>................] - ETA: 0s - loss: 0.3721 92/124 [=====================>........] - ETA: 0s - loss: 0.3660 120/124 [============================>.] - ETA: 0s - loss: 0.3717 124/124 [==============================] - 0s 2ms/step - loss: 0.3714 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3270 36/124 [=======>......................] - ETA: 0s - loss: 0.3748 69/124 [===============>..............] - ETA: 0s - loss: 0.3741 103/124 [=======================>......] - ETA: 0s - loss: 0.3664 124/124 [==============================] - 0s 2ms/step - loss: 0.3652 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2543 33/124 [======>.......................] - ETA: 0s - loss: 0.3718 70/124 [===============>..............] - ETA: 0s - loss: 0.3537 102/124 [=======================>......] - ETA: 0s - loss: 0.3606 124/124 [==============================] - 0s 1ms/step - loss: 0.3601 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3188 32/124 [======>.......................] - ETA: 0s - loss: 0.3626 68/124 [===============>..............] - ETA: 0s - loss: 0.3556 100/124 [=======================>......] - ETA: 0s - loss: 0.3531 124/124 [==============================] - 0s 2ms/step - loss: 0.3500 -> test with GAN.predict GAN tn, fp: 257, 53 GAN fn, tp: 8, 3 GAN f1 score: 0.090 GAN cohens kappa score: 0.034 -> test with 'LR' LR tn, fp: 241, 69 LR fn, tp: 6, 5 LR f1 score: 0.118 LR cohens kappa score: 0.062 LR average precision score: 0.138 -> test with 'RF' RF tn, fp: 305, 5 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.022 -> test with 'GB' GB tn, fp: 291, 19 GB fn, tp: 10, 1 GB f1 score: 0.065 GB cohens kappa score: 0.021 -> test with 'KNN' KNN tn, fp: 223, 87 KNN fn, tp: 6, 5 KNN f1 score: 0.097 KNN cohens kappa score: 0.038 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.4467 44/124 [=========>....................] - ETA: 0s - loss: 0.4812  80/124 [==================>...........] - ETA: 0s - loss: 0.4818 115/124 [==========================>...] - ETA: 0s - loss: 0.4827 124/124 [==============================] - 0s 1ms/step - loss: 0.4836 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3882 43/124 [=========>....................] - ETA: 0s - loss: 0.4726 86/124 [===================>..........] - ETA: 0s - loss: 0.4655 124/124 [==============================] - 0s 1ms/step - loss: 0.4695 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3798 45/124 [=========>....................] - ETA: 0s - loss: 0.4611 84/124 [===================>..........] - ETA: 0s - loss: 0.4704 124/124 [==============================] - 0s 1ms/step - loss: 0.4602 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4043 44/124 [=========>....................] - ETA: 0s - loss: 0.4648 87/124 [====================>.........] - ETA: 0s - loss: 0.4568 124/124 [==============================] - 0s 1ms/step - loss: 0.4567 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4438 44/124 [=========>....................] - ETA: 0s - loss: 0.4685 88/124 [====================>.........] - ETA: 0s - loss: 0.4544 122/124 [============================>.] - ETA: 0s - loss: 0.4549 124/124 [==============================] - 0s 1ms/step - loss: 0.4538 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3726 39/124 [========>.....................] - ETA: 0s - loss: 0.4357 81/124 [==================>...........] - ETA: 0s - loss: 0.4410 121/124 [============================>.] - ETA: 0s - loss: 0.4402 124/124 [==============================] - 0s 1ms/step - loss: 0.4404 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3385 44/124 [=========>....................] - ETA: 0s - loss: 0.4566 87/124 [====================>.........] - ETA: 0s - loss: 0.4508 124/124 [==============================] - 0s 1ms/step - loss: 0.4389 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2838 45/124 [=========>....................] - ETA: 0s - loss: 0.4416 88/124 [====================>.........] - ETA: 0s - loss: 0.4298 124/124 [==============================] - 0s 1ms/step - loss: 0.4323 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3598 46/124 [==========>...................] - ETA: 0s - loss: 0.4529 90/124 [====================>.........] - ETA: 0s - loss: 0.4327 124/124 [==============================] - 0s 1ms/step - loss: 0.4253 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4014 45/124 [=========>....................] - ETA: 0s - loss: 0.4069 90/124 [====================>.........] - ETA: 0s - loss: 0.4158 124/124 [==============================] - 0s 1ms/step - loss: 0.4182 -> test with GAN.predict GAN tn, fp: 215, 91 GAN fn, tp: 6, 3 GAN f1 score: 0.058 GAN cohens kappa score: 0.006 -> test with 'LR' LR tn, fp: 227, 79 LR fn, tp: 4, 5 LR f1 score: 0.108 LR cohens kappa score: 0.059 LR average precision score: 0.219 -> test with 'RF' RF tn, fp: 306, 0 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: 0.000 -> test with 'GB' GB tn, fp: 291, 15 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.037 -> test with 'KNN' KNN tn, fp: 243, 63 KNN fn, tp: 6, 3 KNN f1 score: 0.080 KNN cohens kappa score: 0.031 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.5780 42/124 [=========>....................] - ETA: 0s - loss: 0.5034  83/124 [===================>..........] - ETA: 0s - loss: 0.5029 124/124 [==============================] - ETA: 0s - loss: 0.5016 124/124 [==============================] - 0s 1ms/step - loss: 0.5016 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4354 39/124 [========>.....................] - ETA: 0s - loss: 0.4958 74/124 [================>.............] - ETA: 0s - loss: 0.4867 110/124 [=========================>....] - ETA: 0s - loss: 0.4947 124/124 [==============================] - 0s 1ms/step - loss: 0.4933 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5962 40/124 [========>.....................] - ETA: 0s - loss: 0.4785 82/124 [==================>...........] - ETA: 0s - loss: 0.4723 124/124 [==============================] - ETA: 0s - loss: 0.4774 124/124 [==============================] - 0s 1ms/step - loss: 0.4774 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3800 43/124 [=========>....................] - ETA: 0s - loss: 0.4853 84/124 [===================>..........] - ETA: 0s - loss: 0.4773 124/124 [==============================] - 0s 1ms/step - loss: 0.4698 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3724 42/124 [=========>....................] - ETA: 0s - loss: 0.4867 84/124 [===================>..........] - ETA: 0s - loss: 0.4637 124/124 [==============================] - 0s 1ms/step - loss: 0.4627 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4963 44/124 [=========>....................] - ETA: 0s - loss: 0.4379 85/124 [===================>..........] - ETA: 0s - loss: 0.4494 124/124 [==============================] - 0s 1ms/step - loss: 0.4512 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4501 42/124 [=========>....................] - ETA: 0s - loss: 0.4493 84/124 [===================>..........] - ETA: 0s - loss: 0.4382 124/124 [==============================] - 0s 1ms/step - loss: 0.4537 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.5336 42/124 [=========>....................] - ETA: 0s - loss: 0.4469 83/124 [===================>..........] - ETA: 0s - loss: 0.4496 120/124 [============================>.] - ETA: 0s - loss: 0.4439 124/124 [==============================] - 0s 1ms/step - loss: 0.4425 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4295 43/124 [=========>....................] - ETA: 0s - loss: 0.4549 85/124 [===================>..........] - ETA: 0s - loss: 0.4447 124/124 [==============================] - 0s 1ms/step - loss: 0.4336 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4222 42/124 [=========>....................] - ETA: 0s - loss: 0.4273 82/124 [==================>...........] - ETA: 0s - loss: 0.4295 123/124 [============================>.] - ETA: 0s - loss: 0.4244 124/124 [==============================] - 0s 1ms/step - loss: 0.4236 -> test with GAN.predict GAN tn, fp: 227, 83 GAN fn, tp: 3, 8 GAN f1 score: 0.157 GAN cohens kappa score: 0.102 -> test with 'LR' LR tn, fp: 203, 107 LR fn, tp: 3, 8 LR f1 score: 0.127 LR cohens kappa score: 0.069 LR average precision score: 0.132 -> test with 'RF' RF tn, fp: 302, 8 RF fn, tp: 10, 1 RF f1 score: 0.100 RF cohens kappa score: 0.071 -> test with 'GB' GB tn, fp: 287, 23 GB fn, tp: 7, 4 GB f1 score: 0.211 GB cohens kappa score: 0.170 -> test with 'KNN' KNN tn, fp: 214, 96 KNN fn, tp: 8, 3 KNN f1 score: 0.055 KNN cohens kappa score: -0.008 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.5455 40/124 [========>.....................] - ETA: 0s - loss: 0.4819  82/124 [==================>...........] - ETA: 0s - loss: 0.4695 122/124 [============================>.] - ETA: 0s - loss: 0.4620 124/124 [==============================] - 0s 1ms/step - loss: 0.4636 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.5037 41/124 [========>.....................] - ETA: 0s - loss: 0.4705 80/124 [==================>...........] - ETA: 0s - loss: 0.4668 120/124 [============================>.] - ETA: 0s - loss: 0.4618 124/124 [==============================] - 0s 1ms/step - loss: 0.4614 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3938 40/124 [========>.....................] - ETA: 0s - loss: 0.4703 81/124 [==================>...........] - ETA: 0s - loss: 0.4593 120/124 [============================>.] - ETA: 0s - loss: 0.4508 124/124 [==============================] - 0s 1ms/step - loss: 0.4476 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3599 42/124 [=========>....................] - ETA: 0s - loss: 0.4381 83/124 [===================>..........] - ETA: 0s - loss: 0.4501 124/124 [==============================] - ETA: 0s - loss: 0.4422 124/124 [==============================] - 0s 1ms/step - loss: 0.4422 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.7665 41/124 [========>.....................] - ETA: 0s - loss: 0.4388 81/124 [==================>...........] - ETA: 0s - loss: 0.4314 121/124 [============================>.] - ETA: 0s - loss: 0.4297 124/124 [==============================] - 0s 1ms/step - loss: 0.4283 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3979 42/124 [=========>....................] - ETA: 0s - loss: 0.4107 79/124 [==================>...........] - ETA: 0s - loss: 0.4198 120/124 [============================>.] - ETA: 0s - loss: 0.4236 124/124 [==============================] - 0s 1ms/step - loss: 0.4252 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2742 37/124 [=======>......................] - ETA: 0s - loss: 0.4201 71/124 [================>.............] - ETA: 0s - loss: 0.4305 105/124 [========================>.....] - ETA: 0s - loss: 0.4233 124/124 [==============================] - 0s 1ms/step - loss: 0.4210 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3316 40/124 [========>.....................] - ETA: 0s - loss: 0.3945 77/124 [=================>............] - ETA: 0s - loss: 0.4064 118/124 [===========================>..] - ETA: 0s - loss: 0.4063 124/124 [==============================] - 0s 1ms/step - loss: 0.4083 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.5679 41/124 [========>.....................] - ETA: 0s - loss: 0.3893 76/124 [=================>............] - ETA: 0s - loss: 0.4072 112/124 [==========================>...] - ETA: 0s - loss: 0.4205 124/124 [==============================] - 0s 1ms/step - loss: 0.4205 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.5255 34/124 [=======>......................] - ETA: 0s - loss: 0.4238 73/124 [================>.............] - ETA: 0s - loss: 0.4111 114/124 [==========================>...] - ETA: 0s - loss: 0.4010 124/124 [==============================] - 0s 1ms/step - loss: 0.4002 -> test with GAN.predict GAN tn, fp: 228, 82 GAN fn, tp: 8, 3 GAN f1 score: 0.062 GAN cohens kappa score: 0.002 -> test with 'LR' LR tn, fp: 230, 80 LR fn, tp: 4, 7 LR f1 score: 0.143 LR cohens kappa score: 0.087 LR average precision score: 0.165 -> test with 'RF' RF tn, fp: 309, 1 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.006 -> test with 'GB' GB tn, fp: 301, 9 GB fn, tp: 11, 0 GB f1 score: 0.000 GB cohens kappa score: -0.032 -> test with 'KNN' KNN tn, fp: 232, 78 KNN fn, tp: 7, 4 KNN f1 score: 0.086 KNN cohens kappa score: 0.027 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 21s - loss: 0.5098 42/124 [=========>....................] - ETA: 0s - loss: 0.4809  83/124 [===================>..........] - ETA: 0s - loss: 0.4781 121/124 [============================>.] - ETA: 0s - loss: 0.4819 124/124 [==============================] - 0s 1ms/step - loss: 0.4815 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3662 45/124 [=========>....................] - ETA: 0s - loss: 0.4624 89/124 [====================>.........] - ETA: 0s - loss: 0.4692 124/124 [==============================] - 0s 1ms/step - loss: 0.4705 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3922 42/124 [=========>....................] - ETA: 0s - loss: 0.4578 82/124 [==================>...........] - ETA: 0s - loss: 0.4697 124/124 [==============================] - 0s 1ms/step - loss: 0.4644 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4596 42/124 [=========>....................] - ETA: 0s - loss: 0.4604 82/124 [==================>...........] - ETA: 0s - loss: 0.4690 121/124 [============================>.] - ETA: 0s - loss: 0.4599 124/124 [==============================] - 0s 1ms/step - loss: 0.4587 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4573 37/124 [=======>......................] - ETA: 0s - loss: 0.4564 73/124 [================>.............] - ETA: 0s - loss: 0.4674 114/124 [==========================>...] - ETA: 0s - loss: 0.4515 124/124 [==============================] - 0s 1ms/step - loss: 0.4494 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4076 42/124 [=========>....................] - ETA: 0s - loss: 0.4540 82/124 [==================>...........] - ETA: 0s - loss: 0.4372 124/124 [==============================] - ETA: 0s - loss: 0.4449 124/124 [==============================] - 0s 1ms/step - loss: 0.4449 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.5746 42/124 [=========>....................] - ETA: 0s - loss: 0.4241 85/124 [===================>..........] - ETA: 0s - loss: 0.4483 124/124 [==============================] - 0s 1ms/step - loss: 0.4453 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.6577 43/124 [=========>....................] - ETA: 0s - loss: 0.4423 84/124 [===================>..........] - ETA: 0s - loss: 0.4325 124/124 [==============================] - 0s 1ms/step - loss: 0.4306 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.5566 43/124 [=========>....................] - ETA: 0s - loss: 0.4435 84/124 [===================>..........] - ETA: 0s - loss: 0.4341 124/124 [==============================] - 0s 1ms/step - loss: 0.4269 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4991 40/124 [========>.....................] - ETA: 0s - loss: 0.4309 81/124 [==================>...........] - ETA: 0s - loss: 0.4245 122/124 [============================>.] - ETA: 0s - loss: 0.4190 124/124 [==============================] - 0s 1ms/step - loss: 0.4185 -> test with GAN.predict GAN tn, fp: 273, 37 GAN fn, tp: 8, 3 GAN f1 score: 0.118 GAN cohens kappa score: 0.068 -> test with 'LR' LR tn, fp: 220, 90 LR fn, tp: 3, 8 LR f1 score: 0.147 LR cohens kappa score: 0.091 LR average precision score: 0.154 -> test with 'RF' RF tn, fp: 301, 9 RF fn, tp: 10, 1 RF f1 score: 0.095 RF cohens kappa score: 0.065 -> test with 'GB' GB tn, fp: 295, 15 GB fn, tp: 9, 2 GB f1 score: 0.143 GB cohens kappa score: 0.106 -> test with 'KNN' KNN tn, fp: 238, 72 KNN fn, tp: 9, 2 KNN f1 score: 0.047 KNN cohens kappa score: -0.013 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 20s - loss: 0.4727 36/124 [=======>......................] - ETA: 0s - loss: 0.4582  76/124 [=================>............] - ETA: 0s - loss: 0.4568 116/124 [===========================>..] - ETA: 0s - loss: 0.4518 124/124 [==============================] - 0s 1ms/step - loss: 0.4539 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4035 43/124 [=========>....................] - ETA: 0s - loss: 0.4490 84/124 [===================>..........] - ETA: 0s - loss: 0.4341 124/124 [==============================] - 0s 1ms/step - loss: 0.4366 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4118 40/124 [========>.....................] - ETA: 0s - loss: 0.4287 81/124 [==================>...........] - ETA: 0s - loss: 0.4381 122/124 [============================>.] - ETA: 0s - loss: 0.4390 124/124 [==============================] - 0s 1ms/step - loss: 0.4382 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4079 43/124 [=========>....................] - ETA: 0s - loss: 0.4299 85/124 [===================>..........] - ETA: 0s - loss: 0.4297 124/124 [==============================] - 0s 1ms/step - loss: 0.4276 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.2833 41/124 [========>.....................] - ETA: 0s - loss: 0.4101 81/124 [==================>...........] - ETA: 0s - loss: 0.4066 121/124 [============================>.] - ETA: 0s - loss: 0.4196 124/124 [==============================] - 0s 1ms/step - loss: 0.4196 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4824 42/124 [=========>....................] - ETA: 0s - loss: 0.3919 84/124 [===================>..........] - ETA: 0s - loss: 0.4048 121/124 [============================>.] - ETA: 0s - loss: 0.4170 124/124 [==============================] - 0s 1ms/step - loss: 0.4169 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4188 40/124 [========>.....................] - ETA: 0s - loss: 0.4137 78/124 [=================>............] - ETA: 0s - loss: 0.4050 116/124 [===========================>..] - ETA: 0s - loss: 0.4063 124/124 [==============================] - 0s 1ms/step - loss: 0.4104 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4140 35/124 [=======>......................] - ETA: 0s - loss: 0.4010 71/124 [================>.............] - ETA: 0s - loss: 0.4010 110/124 [=========================>....] - ETA: 0s - loss: 0.4101 124/124 [==============================] - 0s 1ms/step - loss: 0.4047 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4044 42/124 [=========>....................] - ETA: 0s - loss: 0.4146 83/124 [===================>..........] - ETA: 0s - loss: 0.4182 124/124 [==============================] - ETA: 0s - loss: 0.4105 124/124 [==============================] - 0s 1ms/step - loss: 0.4105 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3688 43/124 [=========>....................] - ETA: 0s - loss: 0.3809 84/124 [===================>..........] - ETA: 0s - loss: 0.3860 124/124 [==============================] - 0s 1ms/step - loss: 0.3975 -> test with GAN.predict GAN tn, fp: 282, 28 GAN fn, tp: 6, 5 GAN f1 score: 0.227 GAN cohens kappa score: 0.185 -> test with 'LR' LR tn, fp: 211, 99 LR fn, tp: 5, 6 LR f1 score: 0.103 LR cohens kappa score: 0.044 LR average precision score: 0.282 -> test with 'RF' RF tn, fp: 307, 3 RF fn, tp: 10, 1 RF f1 score: 0.133 RF cohens kappa score: 0.117 -> test with 'GB' GB tn, fp: 297, 13 GB fn, tp: 9, 2 GB f1 score: 0.154 GB cohens kappa score: 0.119 -> test with 'KNN' KNN tn, fp: 222, 88 KNN fn, tp: 7, 4 KNN f1 score: 0.078 KNN cohens kappa score: 0.018 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 16s - loss: 0.3709 38/124 [========>.....................] - ETA: 0s - loss: 0.4510  72/124 [================>.............] - ETA: 0s - loss: 0.4430 109/124 [=========================>....] - ETA: 0s - loss: 0.4445 124/124 [==============================] - 0s 1ms/step - loss: 0.4451 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2933 39/124 [========>.....................] - ETA: 0s - loss: 0.4242 75/124 [=================>............] - ETA: 0s - loss: 0.4356 114/124 [==========================>...] - ETA: 0s - loss: 0.4360 124/124 [==============================] - 0s 1ms/step - loss: 0.4333 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5600 41/124 [========>.....................] - ETA: 0s - loss: 0.4591 80/124 [==================>...........] - ETA: 0s - loss: 0.4352 123/124 [============================>.] - ETA: 0s - loss: 0.4291 124/124 [==============================] - 0s 1ms/step - loss: 0.4297 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3511 37/124 [=======>......................] - ETA: 0s - loss: 0.4348 78/124 [=================>............] - ETA: 0s - loss: 0.4431 112/124 [==========================>...] - ETA: 0s - loss: 0.4237 124/124 [==============================] - 0s 1ms/step - loss: 0.4239 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4091 38/124 [========>.....................] - ETA: 0s - loss: 0.4010 73/124 [================>.............] - ETA: 0s - loss: 0.4150 115/124 [==========================>...] - ETA: 0s - loss: 0.4159 124/124 [==============================] - 0s 1ms/step - loss: 0.4160 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3407 38/124 [========>.....................] - ETA: 0s - loss: 0.3876 74/124 [================>.............] - ETA: 0s - loss: 0.4094 114/124 [==========================>...] - ETA: 0s - loss: 0.4097 124/124 [==============================] - 0s 1ms/step - loss: 0.4084 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.1953 37/124 [=======>......................] - ETA: 0s - loss: 0.4003 78/124 [=================>............] - ETA: 0s - loss: 0.4019 111/124 [=========================>....] - ETA: 0s - loss: 0.4074 124/124 [==============================] - 0s 1ms/step - loss: 0.4049 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3835 38/124 [========>.....................] - ETA: 0s - loss: 0.4048 75/124 [=================>............] - ETA: 0s - loss: 0.4046 115/124 [==========================>...] - ETA: 0s - loss: 0.4023 124/124 [==============================] - 0s 1ms/step - loss: 0.3997 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3379 39/124 [========>.....................] - ETA: 0s - loss: 0.4183 82/124 [==================>...........] - ETA: 0s - loss: 0.3976 116/124 [===========================>..] - ETA: 0s - loss: 0.3957 124/124 [==============================] - 0s 1ms/step - loss: 0.3954 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3315 43/124 [=========>....................] - ETA: 0s - loss: 0.3968 82/124 [==================>...........] - ETA: 0s - loss: 0.3843 120/124 [============================>.] - ETA: 0s - loss: 0.3878 124/124 [==============================] - 0s 1ms/step - loss: 0.3869 -> test with GAN.predict GAN tn, fp: 260, 46 GAN fn, tp: 4, 5 GAN f1 score: 0.167 GAN cohens kappa score: 0.124 -> test with 'LR' LR tn, fp: 229, 77 LR fn, tp: 3, 6 LR f1 score: 0.130 LR cohens kappa score: 0.083 LR average precision score: 0.143 -> test with 'RF' RF tn, fp: 305, 1 RF fn, tp: 8, 1 RF f1 score: 0.182 RF cohens kappa score: 0.173 -> test with 'GB' GB tn, fp: 291, 15 GB fn, tp: 6, 3 GB f1 score: 0.222 GB cohens kappa score: 0.191 -> test with 'KNN' KNN tn, fp: 231, 75 KNN fn, tp: 6, 3 KNN f1 score: 0.069 KNN cohens kappa score: 0.019 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 19s - loss: 0.3382 42/124 [=========>....................] - ETA: 0s - loss: 0.4235  84/124 [===================>..........] - ETA: 0s - loss: 0.4337 123/124 [============================>.] - ETA: 0s - loss: 0.4247 124/124 [==============================] - 0s 1ms/step - loss: 0.4237 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4062 41/124 [========>.....................] - ETA: 0s - loss: 0.4316 81/124 [==================>...........] - ETA: 0s - loss: 0.4277 123/124 [============================>.] - ETA: 0s - loss: 0.4129 124/124 [==============================] - 0s 1ms/step - loss: 0.4132 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4265 42/124 [=========>....................] - ETA: 0s - loss: 0.4421 78/124 [=================>............] - ETA: 0s - loss: 0.4134 117/124 [===========================>..] - ETA: 0s - loss: 0.4101 124/124 [==============================] - 0s 1ms/step - loss: 0.4084 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4757 43/124 [=========>....................] - ETA: 0s - loss: 0.3980 84/124 [===================>..........] - ETA: 0s - loss: 0.3987 123/124 [============================>.] - ETA: 0s - loss: 0.3978 124/124 [==============================] - 0s 1ms/step - loss: 0.3976 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3434 42/124 [=========>....................] - ETA: 0s - loss: 0.3936 82/124 [==================>...........] - ETA: 0s - loss: 0.3935 123/124 [============================>.] - ETA: 0s - loss: 0.3896 124/124 [==============================] - 0s 1ms/step - loss: 0.3891 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3832 42/124 [=========>....................] - ETA: 0s - loss: 0.3889 83/124 [===================>..........] - ETA: 0s - loss: 0.3795 123/124 [============================>.] - ETA: 0s - loss: 0.3824 124/124 [==============================] - 0s 1ms/step - loss: 0.3847 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3615 43/124 [=========>....................] - ETA: 0s - loss: 0.3801 83/124 [===================>..........] - ETA: 0s - loss: 0.3797 118/124 [===========================>..] - ETA: 0s - loss: 0.3772 124/124 [==============================] - 0s 1ms/step - loss: 0.3777 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3988 36/124 [=======>......................] - ETA: 0s - loss: 0.3783 73/124 [================>.............] - ETA: 0s - loss: 0.3917 112/124 [==========================>...] - ETA: 0s - loss: 0.3787 124/124 [==============================] - 0s 1ms/step - loss: 0.3744 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3167 40/124 [========>.....................] - ETA: 0s - loss: 0.3368 81/124 [==================>...........] - ETA: 0s - loss: 0.3652 118/124 [===========================>..] - ETA: 0s - loss: 0.3618 124/124 [==============================] - 0s 1ms/step - loss: 0.3644 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3238 42/124 [=========>....................] - ETA: 0s - loss: 0.3653 82/124 [==================>...........] - ETA: 0s - loss: 0.3537 124/124 [==============================] - ETA: 0s - loss: 0.3601 124/124 [==============================] - 0s 1ms/step - loss: 0.3601 -> test with GAN.predict GAN tn, fp: 265, 45 GAN fn, tp: 6, 5 GAN f1 score: 0.164 GAN cohens kappa score: 0.114 -> test with 'LR' LR tn, fp: 228, 82 LR fn, tp: 5, 6 LR f1 score: 0.121 LR cohens kappa score: 0.064 LR average precision score: 0.164 -> test with 'RF' RF tn, fp: 307, 3 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.015 -> test with 'GB' GB tn, fp: 301, 9 GB fn, tp: 11, 0 GB f1 score: 0.000 GB cohens kappa score: -0.032 -> test with 'KNN' KNN tn, fp: 237, 73 KNN fn, tp: 8, 3 KNN f1 score: 0.069 KNN cohens kappa score: 0.010 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.4099 32/124 [======>.......................] - ETA: 0s - loss: 0.5148  70/124 [===============>..............] - ETA: 0s - loss: 0.5185 109/124 [=========================>....] - ETA: 0s - loss: 0.5110 124/124 [==============================] - 0s 1ms/step - loss: 0.5092 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3695 39/124 [========>.....................] - ETA: 0s - loss: 0.5009 82/124 [==================>...........] - ETA: 0s - loss: 0.4929 122/124 [============================>.] - ETA: 0s - loss: 0.4958 124/124 [==============================] - 0s 1ms/step - loss: 0.4954 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5073 42/124 [=========>....................] - ETA: 0s - loss: 0.5170 83/124 [===================>..........] - ETA: 0s - loss: 0.4998 123/124 [============================>.] - ETA: 0s - loss: 0.4903 124/124 [==============================] - 0s 1ms/step - loss: 0.4897 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.5810 39/124 [========>.....................] - ETA: 0s - loss: 0.4960 80/124 [==================>...........] - ETA: 0s - loss: 0.4886 122/124 [============================>.] - ETA: 0s - loss: 0.4823 124/124 [==============================] - 0s 1ms/step - loss: 0.4830 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4056 41/124 [========>.....................] - ETA: 0s - loss: 0.4451 83/124 [===================>..........] - ETA: 0s - loss: 0.4586 123/124 [============================>.] - ETA: 0s - loss: 0.4650 124/124 [==============================] - 0s 1ms/step - loss: 0.4644 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.6202 41/124 [========>.....................] - ETA: 0s - loss: 0.4816 83/124 [===================>..........] - ETA: 0s - loss: 0.4676 124/124 [==============================] - 0s 1ms/step - loss: 0.4555 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4692 42/124 [=========>....................] - ETA: 0s - loss: 0.4404 82/124 [==================>...........] - ETA: 0s - loss: 0.4542 123/124 [============================>.] - ETA: 0s - loss: 0.4492 124/124 [==============================] - 0s 1ms/step - loss: 0.4482 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3755 38/124 [========>.....................] - ETA: 0s - loss: 0.4389 79/124 [==================>...........] - ETA: 0s - loss: 0.4307 120/124 [============================>.] - ETA: 0s - loss: 0.4328 124/124 [==============================] - 0s 1ms/step - loss: 0.4324 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4250 41/124 [========>.....................] - ETA: 0s - loss: 0.4240 82/124 [==================>...........] - ETA: 0s - loss: 0.4279 124/124 [==============================] - ETA: 0s - loss: 0.4288 124/124 [==============================] - 0s 1ms/step - loss: 0.4288 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4705 38/124 [========>.....................] - ETA: 0s - loss: 0.4222 74/124 [================>.............] - ETA: 0s - loss: 0.4161 111/124 [=========================>....] - ETA: 0s - loss: 0.4209 124/124 [==============================] - 0s 1ms/step - loss: 0.4169 -> test with GAN.predict GAN tn, fp: 252, 58 GAN fn, tp: 6, 5 GAN f1 score: 0.135 GAN cohens kappa score: 0.082 -> test with 'LR' LR tn, fp: 207, 103 LR fn, tp: 3, 8 LR f1 score: 0.131 LR cohens kappa score: 0.073 LR average precision score: 0.250 -> test with 'RF' RF tn, fp: 308, 2 RF fn, tp: 9, 2 RF f1 score: 0.267 RF cohens kappa score: 0.253 -> test with 'GB' GB tn, fp: 289, 21 GB fn, tp: 9, 2 GB f1 score: 0.118 GB cohens kappa score: 0.075 -> test with 'KNN' KNN tn, fp: 234, 76 KNN fn, tp: 8, 3 KNN f1 score: 0.067 KNN cohens kappa score: 0.007 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 19s - loss: 0.5794 43/124 [=========>....................] - ETA: 0s - loss: 0.4860  84/124 [===================>..........] - ETA: 0s - loss: 0.4671 120/124 [============================>.] - ETA: 0s - loss: 0.4619 124/124 [==============================] - 0s 1ms/step - loss: 0.4602 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3820 34/124 [=======>......................] - ETA: 0s - loss: 0.4561 70/124 [===============>..............] - ETA: 0s - loss: 0.4478 111/124 [=========================>....] - ETA: 0s - loss: 0.4544 124/124 [==============================] - 0s 1ms/step - loss: 0.4530 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3292 43/124 [=========>....................] - ETA: 0s - loss: 0.4395 82/124 [==================>...........] - ETA: 0s - loss: 0.4406 122/124 [============================>.] - ETA: 0s - loss: 0.4423 124/124 [==============================] - 0s 1ms/step - loss: 0.4422 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.5872 43/124 [=========>....................] - ETA: 0s - loss: 0.4312 80/124 [==================>...........] - ETA: 0s - loss: 0.4396 120/124 [============================>.] - ETA: 0s - loss: 0.4381 124/124 [==============================] - 0s 1ms/step - loss: 0.4341 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4594 40/124 [========>.....................] - ETA: 0s - loss: 0.4377 81/124 [==================>...........] - ETA: 0s - loss: 0.4278 121/124 [============================>.] - ETA: 0s - loss: 0.4215 124/124 [==============================] - 0s 1ms/step - loss: 0.4227 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.6116 42/124 [=========>....................] - ETA: 0s - loss: 0.4020 84/124 [===================>..........] - ETA: 0s - loss: 0.4126 124/124 [==============================] - 0s 1ms/step - loss: 0.4145 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4667 42/124 [=========>....................] - ETA: 0s - loss: 0.3734 83/124 [===================>..........] - ETA: 0s - loss: 0.3929 124/124 [==============================] - 0s 1ms/step - loss: 0.4031 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4228 43/124 [=========>....................] - ETA: 0s - loss: 0.3916 85/124 [===================>..........] - ETA: 0s - loss: 0.3981 124/124 [==============================] - ETA: 0s - loss: 0.4124 124/124 [==============================] - 0s 1ms/step - loss: 0.4124 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3087 41/124 [========>.....................] - ETA: 0s - loss: 0.4078 81/124 [==================>...........] - ETA: 0s - loss: 0.4030 120/124 [============================>.] - ETA: 0s - loss: 0.3959 124/124 [==============================] - 0s 1ms/step - loss: 0.3973 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2285 40/124 [========>.....................] - ETA: 0s - loss: 0.3942 82/124 [==================>...........] - ETA: 0s - loss: 0.3853 123/124 [============================>.] - ETA: 0s - loss: 0.3847 124/124 [==============================] - 0s 1ms/step - loss: 0.3840 -> test with GAN.predict GAN tn, fp: 255, 55 GAN fn, tp: 5, 6 GAN f1 score: 0.167 GAN cohens kappa score: 0.115 -> test with 'LR' LR tn, fp: 216, 94 LR fn, tp: 4, 7 LR f1 score: 0.125 LR cohens kappa score: 0.067 LR average precision score: 0.069 -> test with 'RF' RF tn, fp: 304, 6 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.025 -> test with 'GB' GB tn, fp: 285, 25 GB fn, tp: 6, 5 GB f1 score: 0.244 GB cohens kappa score: 0.204 -> test with 'KNN' KNN tn, fp: 215, 95 KNN fn, tp: 6, 5 KNN f1 score: 0.090 KNN cohens kappa score: 0.030 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 0.5451 39/124 [========>.....................] - ETA: 0s - loss: 0.5032  80/124 [==================>...........] - ETA: 0s - loss: 0.4945 120/124 [============================>.] - ETA: 0s - loss: 0.5020 124/124 [==============================] - 0s 1ms/step - loss: 0.5004 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4651 42/124 [=========>....................] - ETA: 0s - loss: 0.4873 83/124 [===================>..........] - ETA: 0s - loss: 0.4928 124/124 [==============================] - 0s 1ms/step - loss: 0.4941 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4342 42/124 [=========>....................] - ETA: 0s - loss: 0.4825 83/124 [===================>..........] - ETA: 0s - loss: 0.4858 122/124 [============================>.] - ETA: 0s - loss: 0.4811 124/124 [==============================] - 0s 1ms/step - loss: 0.4831 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4544 43/124 [=========>....................] - ETA: 0s - loss: 0.4678 82/124 [==================>...........] - ETA: 0s - loss: 0.4816 118/124 [===========================>..] - ETA: 0s - loss: 0.4742 124/124 [==============================] - 0s 1ms/step - loss: 0.4779 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4318 42/124 [=========>....................] - ETA: 0s - loss: 0.4712 83/124 [===================>..........] - ETA: 0s - loss: 0.4632 124/124 [==============================] - ETA: 0s - loss: 0.4703 124/124 [==============================] - 0s 1ms/step - loss: 0.4703 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3656 42/124 [=========>....................] - ETA: 0s - loss: 0.4664 80/124 [==================>...........] - ETA: 0s - loss: 0.4705 119/124 [===========================>..] - ETA: 0s - loss: 0.4626 124/124 [==============================] - 0s 1ms/step - loss: 0.4623 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.5157 39/124 [========>.....................] - ETA: 0s - loss: 0.4899 78/124 [=================>............] - ETA: 0s - loss: 0.4710 119/124 [===========================>..] - ETA: 0s - loss: 0.4654 124/124 [==============================] - 0s 1ms/step - loss: 0.4631 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4342 42/124 [=========>....................] - ETA: 0s - loss: 0.4678 82/124 [==================>...........] - ETA: 0s - loss: 0.4590 123/124 [============================>.] - ETA: 0s - loss: 0.4546 124/124 [==============================] - 0s 1ms/step - loss: 0.4547 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2405 42/124 [=========>....................] - ETA: 0s - loss: 0.4707 82/124 [==================>...........] - ETA: 0s - loss: 0.4657 123/124 [============================>.] - ETA: 0s - loss: 0.4608 124/124 [==============================] - 0s 1ms/step - loss: 0.4605 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.5125 38/124 [========>.....................] - ETA: 0s - loss: 0.4641 77/124 [=================>............] - ETA: 0s - loss: 0.4590 116/124 [===========================>..] - ETA: 0s - loss: 0.4523 124/124 [==============================] - 0s 1ms/step - loss: 0.4470 -> test with GAN.predict GAN tn, fp: 284, 26 GAN fn, tp: 8, 3 GAN f1 score: 0.150 GAN cohens kappa score: 0.106 -> test with 'LR' LR tn, fp: 201, 109 LR fn, tp: 2, 9 LR f1 score: 0.140 LR cohens kappa score: 0.082 LR average precision score: 0.175 -> test with 'RF' RF tn, fp: 304, 6 RF fn, tp: 10, 1 RF f1 score: 0.111 RF cohens kappa score: 0.087 -> test with 'GB' GB tn, fp: 287, 23 GB fn, tp: 8, 3 GB f1 score: 0.162 GB cohens kappa score: 0.120 -> test with 'KNN' KNN tn, fp: 226, 84 KNN fn, tp: 6, 5 KNN f1 score: 0.100 KNN cohens kappa score: 0.042 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 17s - loss: 0.3349 45/124 [=========>....................] - ETA: 0s - loss: 0.4900  89/124 [====================>.........] - ETA: 0s - loss: 0.4795 124/124 [==============================] - 0s 1ms/step - loss: 0.4869 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4777 45/124 [=========>....................] - ETA: 0s - loss: 0.4872 89/124 [====================>.........] - ETA: 0s - loss: 0.4825 124/124 [==============================] - 0s 1ms/step - loss: 0.4836 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4119 43/124 [=========>....................] - ETA: 0s - loss: 0.4672 87/124 [====================>.........] - ETA: 0s - loss: 0.4668 124/124 [==============================] - 0s 1ms/step - loss: 0.4704 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4512 46/124 [==========>...................] - ETA: 0s - loss: 0.4587 91/124 [=====================>........] - ETA: 0s - loss: 0.4624 124/124 [==============================] - 0s 1ms/step - loss: 0.4637 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4339 45/124 [=========>....................] - ETA: 0s - loss: 0.4720 89/124 [====================>.........] - ETA: 0s - loss: 0.4593 124/124 [==============================] - 0s 1ms/step - loss: 0.4582 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4705 38/124 [========>.....................] - ETA: 0s - loss: 0.4535 73/124 [================>.............] - ETA: 0s - loss: 0.4526 113/124 [==========================>...] - ETA: 0s - loss: 0.4478 124/124 [==============================] - 0s 1ms/step - loss: 0.4486 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4236 46/124 [==========>...................] - ETA: 0s - loss: 0.4461 90/124 [====================>.........] - ETA: 0s - loss: 0.4313 124/124 [==============================] - 0s 1ms/step - loss: 0.4388 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4850 44/124 [=========>....................] - ETA: 0s - loss: 0.4440 87/124 [====================>.........] - ETA: 0s - loss: 0.4448 124/124 [==============================] - 0s 1ms/step - loss: 0.4459 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4687 45/124 [=========>....................] - ETA: 0s - loss: 0.3923 89/124 [====================>.........] - ETA: 0s - loss: 0.4217 124/124 [==============================] - 0s 1ms/step - loss: 0.4328 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4399 45/124 [=========>....................] - ETA: 0s - loss: 0.4181 90/124 [====================>.........] - ETA: 0s - loss: 0.4198 124/124 [==============================] - 0s 1ms/step - loss: 0.4222 -> test with GAN.predict GAN tn, fp: 223, 83 GAN fn, tp: 5, 4 GAN f1 score: 0.083 GAN cohens kappa score: 0.033 -> test with 'LR' LR tn, fp: 218, 88 LR fn, tp: 2, 7 LR f1 score: 0.135 LR cohens kappa score: 0.087 LR average precision score: 0.112 -> test with 'RF' RF tn, fp: 300, 6 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.023 -> test with 'GB' GB tn, fp: 292, 14 GB fn, tp: 7, 2 GB f1 score: 0.160 GB cohens kappa score: 0.128 -> test with 'KNN' KNN tn, fp: 230, 76 KNN fn, tp: 4, 5 KNN f1 score: 0.111 KNN cohens kappa score: 0.063 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 19s - loss: 0.5251 41/124 [========>.....................] - ETA: 0s - loss: 0.4714  80/124 [==================>...........] - ETA: 0s - loss: 0.4515 121/124 [============================>.] - ETA: 0s - loss: 0.4548 124/124 [==============================] - 0s 1ms/step - loss: 0.4532 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3045 39/124 [========>.....................] - ETA: 0s - loss: 0.4454 79/124 [==================>...........] - ETA: 0s - loss: 0.4485 117/124 [===========================>..] - ETA: 0s - loss: 0.4436 124/124 [==============================] - 0s 1ms/step - loss: 0.4439 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3686 40/124 [========>.....................] - ETA: 0s - loss: 0.4593 80/124 [==================>...........] - ETA: 0s - loss: 0.4475 120/124 [============================>.] - ETA: 0s - loss: 0.4425 124/124 [==============================] - 0s 1ms/step - loss: 0.4410 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4364 41/124 [========>.....................] - ETA: 0s - loss: 0.4257 81/124 [==================>...........] - ETA: 0s - loss: 0.4301 121/124 [============================>.] - ETA: 0s - loss: 0.4331 124/124 [==============================] - 0s 1ms/step - loss: 0.4342 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.2828 40/124 [========>.....................] - ETA: 0s - loss: 0.4254 80/124 [==================>...........] - ETA: 0s - loss: 0.4238 115/124 [==========================>...] - ETA: 0s - loss: 0.4263 124/124 [==============================] - 0s 1ms/step - loss: 0.4263 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4691 42/124 [=========>....................] - ETA: 0s - loss: 0.4187 83/124 [===================>..........] - ETA: 0s - loss: 0.4364 124/124 [==============================] - 0s 1ms/step - loss: 0.4279 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4776 39/124 [========>.....................] - ETA: 0s - loss: 0.4182 78/124 [=================>............] - ETA: 0s - loss: 0.4214 120/124 [============================>.] - ETA: 0s - loss: 0.4190 124/124 [==============================] - 0s 1ms/step - loss: 0.4198 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4313 40/124 [========>.....................] - ETA: 0s - loss: 0.4214 82/124 [==================>...........] - ETA: 0s - loss: 0.4082 122/124 [============================>.] - ETA: 0s - loss: 0.4079 124/124 [==============================] - 0s 1ms/step - loss: 0.4104 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.6001 42/124 [=========>....................] - ETA: 0s - loss: 0.4051 83/124 [===================>..........] - ETA: 0s - loss: 0.4122 124/124 [==============================] - 0s 1ms/step - loss: 0.4066 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3171 41/124 [========>.....................] - ETA: 0s - loss: 0.3820 81/124 [==================>...........] - ETA: 0s - loss: 0.4042 121/124 [============================>.] - ETA: 0s - loss: 0.4024 124/124 [==============================] - 0s 1ms/step - loss: 0.4008 -> test with GAN.predict GAN tn, fp: 213, 97 GAN fn, tp: 6, 5 GAN f1 score: 0.088 GAN cohens kappa score: 0.028 -> test with 'LR' LR tn, fp: 232, 78 LR fn, tp: 2, 9 LR f1 score: 0.184 LR cohens kappa score: 0.131 LR average precision score: 0.425 -> test with 'RF' RF tn, fp: 310, 0 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: 0.000 -> test with 'GB' GB tn, fp: 302, 8 GB fn, tp: 10, 1 GB f1 score: 0.100 GB cohens kappa score: 0.071 -> test with 'KNN' KNN tn, fp: 232, 78 KNN fn, tp: 10, 1 KNN f1 score: 0.022 KNN cohens kappa score: -0.040 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 21s - loss: 0.5463 31/124 [======>.......................] - ETA: 0s - loss: 0.4928  59/124 [=============>................] - ETA: 0s - loss: 0.4697 91/124 [=====================>........] - ETA: 0s - loss: 0.4757 124/124 [==============================] - 0s 2ms/step - loss: 0.4713 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4108 37/124 [=======>......................] - ETA: 0s - loss: 0.4654 71/124 [================>.............] - ETA: 0s - loss: 0.4669 108/124 [=========================>....] - ETA: 0s - loss: 0.4605 124/124 [==============================] - 0s 1ms/step - loss: 0.4589 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4128 36/124 [=======>......................] - ETA: 0s - loss: 0.4363 72/124 [================>.............] - ETA: 0s - loss: 0.4376 107/124 [========================>.....] - ETA: 0s - loss: 0.4489 124/124 [==============================] - 0s 1ms/step - loss: 0.4479 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4766 42/124 [=========>....................] - ETA: 0s - loss: 0.4304 78/124 [=================>............] - ETA: 0s - loss: 0.4342 115/124 [==========================>...] - ETA: 0s - loss: 0.4407 124/124 [==============================] - 0s 1ms/step - loss: 0.4391 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3944 37/124 [=======>......................] - ETA: 0s - loss: 0.4170 74/124 [================>.............] - ETA: 0s - loss: 0.4324 110/124 [=========================>....] - ETA: 0s - loss: 0.4236 124/124 [==============================] - 0s 1ms/step - loss: 0.4289 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2762 37/124 [=======>......................] - ETA: 0s - loss: 0.4368 72/124 [================>.............] - ETA: 0s - loss: 0.4113 108/124 [=========================>....] - ETA: 0s - loss: 0.4178 124/124 [==============================] - 0s 1ms/step - loss: 0.4227 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3356 39/124 [========>.....................] - ETA: 0s - loss: 0.4145 80/124 [==================>...........] - ETA: 0s - loss: 0.4180 116/124 [===========================>..] - ETA: 0s - loss: 0.4132 124/124 [==============================] - 0s 1ms/step - loss: 0.4138 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4271 34/124 [=======>......................] - ETA: 0s - loss: 0.4169 70/124 [===============>..............] - ETA: 0s - loss: 0.4074 106/124 [========================>.....] - ETA: 0s - loss: 0.4080 124/124 [==============================] - 0s 1ms/step - loss: 0.4131 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2345 36/124 [=======>......................] - ETA: 0s - loss: 0.4035 72/124 [================>.............] - ETA: 0s - loss: 0.4068 110/124 [=========================>....] - ETA: 0s - loss: 0.4150 124/124 [==============================] - 0s 1ms/step - loss: 0.4169 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3635 40/124 [========>.....................] - ETA: 0s - loss: 0.4030 80/124 [==================>...........] - ETA: 0s - loss: 0.4166 121/124 [============================>.] - ETA: 0s - loss: 0.4047 124/124 [==============================] - 0s 1ms/step - loss: 0.4016 -> test with GAN.predict GAN tn, fp: 221, 89 GAN fn, tp: 5, 6 GAN f1 score: 0.113 GAN cohens kappa score: 0.055 -> test with 'LR' LR tn, fp: 219, 91 LR fn, tp: 3, 8 LR f1 score: 0.145 LR cohens kappa score: 0.089 LR average precision score: 0.169 -> test with 'RF' RF tn, fp: 308, 2 RF fn, tp: 10, 1 RF f1 score: 0.143 RF cohens kappa score: 0.130 -> test with 'GB' GB tn, fp: 290, 20 GB fn, tp: 9, 2 GB f1 score: 0.121 GB cohens kappa score: 0.079 -> test with 'KNN' KNN tn, fp: 217, 93 KNN fn, tp: 6, 5 KNN f1 score: 0.092 KNN cohens kappa score: 0.032 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 19s - loss: 0.3159 42/124 [=========>....................] - ETA: 0s - loss: 0.4546  83/124 [===================>..........] - ETA: 0s - loss: 0.4525 124/124 [==============================] - 0s 1ms/step - loss: 0.4483 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4277 41/124 [========>.....................] - ETA: 0s - loss: 0.4449 75/124 [=================>............] - ETA: 0s - loss: 0.4478 114/124 [==========================>...] - ETA: 0s - loss: 0.4413 124/124 [==============================] - 0s 1ms/step - loss: 0.4384 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5316 42/124 [=========>....................] - ETA: 0s - loss: 0.4492 81/124 [==================>...........] - ETA: 0s - loss: 0.4476 122/124 [============================>.] - ETA: 0s - loss: 0.4408 124/124 [==============================] - 0s 1ms/step - loss: 0.4410 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3926 42/124 [=========>....................] - ETA: 0s - loss: 0.4227 81/124 [==================>...........] - ETA: 0s - loss: 0.4259 121/124 [============================>.] - ETA: 0s - loss: 0.4278 124/124 [==============================] - 0s 1ms/step - loss: 0.4297 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.5201 42/124 [=========>....................] - ETA: 0s - loss: 0.3934 83/124 [===================>..........] - ETA: 0s - loss: 0.4209 120/124 [============================>.] - ETA: 0s - loss: 0.4226 124/124 [==============================] - 0s 1ms/step - loss: 0.4231 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2823 42/124 [=========>....................] - ETA: 0s - loss: 0.4034 77/124 [=================>............] - ETA: 0s - loss: 0.4297 109/124 [=========================>....] - ETA: 0s - loss: 0.4165 124/124 [==============================] - 0s 1ms/step - loss: 0.4149 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4866 37/124 [=======>......................] - ETA: 0s - loss: 0.4178 76/124 [=================>............] - ETA: 0s - loss: 0.4160 116/124 [===========================>..] - ETA: 0s - loss: 0.4182 124/124 [==============================] - 0s 1ms/step - loss: 0.4166 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3353 40/124 [========>.....................] - ETA: 0s - loss: 0.4060 79/124 [==================>...........] - ETA: 0s - loss: 0.4066 116/124 [===========================>..] - ETA: 0s - loss: 0.4103 124/124 [==============================] - 0s 1ms/step - loss: 0.4114 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4455 41/124 [========>.....................] - ETA: 0s - loss: 0.3867 82/124 [==================>...........] - ETA: 0s - loss: 0.3983 124/124 [==============================] - ETA: 0s - loss: 0.4055 124/124 [==============================] - 0s 1ms/step - loss: 0.4055 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3887 41/124 [========>.....................] - ETA: 0s - loss: 0.4129 82/124 [==================>...........] - ETA: 0s - loss: 0.3974 123/124 [============================>.] - ETA: 0s - loss: 0.3988 124/124 [==============================] - 0s 1ms/step - loss: 0.3992 -> test with GAN.predict GAN tn, fp: 261, 49 GAN fn, tp: 8, 3 GAN f1 score: 0.095 GAN cohens kappa score: 0.041 -> test with 'LR' LR tn, fp: 224, 86 LR fn, tp: 5, 6 LR f1 score: 0.117 LR cohens kappa score: 0.059 LR average precision score: 0.103 -> test with 'RF' RF tn, fp: 306, 4 RF fn, tp: 10, 1 RF f1 score: 0.125 RF cohens kappa score: 0.106 -> test with 'GB' GB tn, fp: 292, 18 GB fn, tp: 9, 2 GB f1 score: 0.129 GB cohens kappa score: 0.089 -> test with 'KNN' KNN tn, fp: 235, 75 KNN fn, tp: 9, 2 KNN f1 score: 0.045 KNN cohens kappa score: -0.015 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 21s - loss: 0.6430 38/124 [========>.....................] - ETA: 0s - loss: 0.4793  74/124 [================>.............] - ETA: 0s - loss: 0.4828 111/124 [=========================>....] - ETA: 0s - loss: 0.4825 124/124 [==============================] - 0s 1ms/step - loss: 0.4854 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.5221 42/124 [=========>....................] - ETA: 0s - loss: 0.4736 81/124 [==================>...........] - ETA: 0s - loss: 0.4824 118/124 [===========================>..] - ETA: 0s - loss: 0.4728 124/124 [==============================] - 0s 1ms/step - loss: 0.4724 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4503 41/124 [========>.....................] - ETA: 0s - loss: 0.4677 83/124 [===================>..........] - ETA: 0s - loss: 0.4706 120/124 [============================>.] - ETA: 0s - loss: 0.4648 124/124 [==============================] - 0s 1ms/step - loss: 0.4642 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4857 39/124 [========>.....................] - ETA: 0s - loss: 0.4317 80/124 [==================>...........] - ETA: 0s - loss: 0.4519 122/124 [============================>.] - ETA: 0s - loss: 0.4618 124/124 [==============================] - 0s 1ms/step - loss: 0.4623 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4105 40/124 [========>.....................] - ETA: 0s - loss: 0.4494 82/124 [==================>...........] - ETA: 0s - loss: 0.4457 121/124 [============================>.] - ETA: 0s - loss: 0.4541 124/124 [==============================] - 0s 1ms/step - loss: 0.4550 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3197 41/124 [========>.....................] - ETA: 0s - loss: 0.4502 84/124 [===================>..........] - ETA: 0s - loss: 0.4505 124/124 [==============================] - 0s 1ms/step - loss: 0.4489 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4770 39/124 [========>.....................] - ETA: 0s - loss: 0.4604 81/124 [==================>...........] - ETA: 0s - loss: 0.4516 121/124 [============================>.] - ETA: 0s - loss: 0.4475 124/124 [==============================] - 0s 1ms/step - loss: 0.4469 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4695 41/124 [========>.....................] - ETA: 0s - loss: 0.4409 81/124 [==================>...........] - ETA: 0s - loss: 0.4453 121/124 [============================>.] - ETA: 0s - loss: 0.4467 124/124 [==============================] - 0s 1ms/step - loss: 0.4456 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.5161 41/124 [========>.....................] - ETA: 0s - loss: 0.4475 81/124 [==================>...........] - ETA: 0s - loss: 0.4471 123/124 [============================>.] - ETA: 0s - loss: 0.4413 124/124 [==============================] - 0s 1ms/step - loss: 0.4407 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.5095 43/124 [=========>....................] - ETA: 0s - loss: 0.4528 84/124 [===================>..........] - ETA: 0s - loss: 0.4502 124/124 [==============================] - 0s 1ms/step - loss: 0.4420 -> test with GAN.predict GAN tn, fp: 230, 80 GAN fn, tp: 4, 7 GAN f1 score: 0.143 GAN cohens kappa score: 0.087 -> test with 'LR' LR tn, fp: 218, 92 LR fn, tp: 1, 10 LR f1 score: 0.177 LR cohens kappa score: 0.123 LR average precision score: 0.129 -> test with 'RF' RF tn, fp: 307, 3 RF fn, tp: 9, 2 RF f1 score: 0.250 RF cohens kappa score: 0.234 -> test with 'GB' GB tn, fp: 290, 20 GB fn, tp: 5, 6 GB f1 score: 0.324 GB cohens kappa score: 0.290 -> test with 'KNN' KNN tn, fp: 226, 84 KNN fn, tp: 7, 4 KNN f1 score: 0.081 KNN cohens kappa score: 0.021 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 15s - loss: 0.3286 44/124 [=========>....................] - ETA: 0s - loss: 0.4438  88/124 [====================>.........] - ETA: 0s - loss: 0.4568 124/124 [==============================] - 0s 1ms/step - loss: 0.4540 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3396 42/124 [=========>....................] - ETA: 0s - loss: 0.4382 83/124 [===================>..........] - ETA: 0s - loss: 0.4422 124/124 [==============================] - 0s 1ms/step - loss: 0.4401 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4587 44/124 [=========>....................] - ETA: 0s - loss: 0.4369 86/124 [===================>..........] - ETA: 0s - loss: 0.4306 124/124 [==============================] - 0s 1ms/step - loss: 0.4331 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4076 46/124 [==========>...................] - ETA: 0s - loss: 0.4265 90/124 [====================>.........] - ETA: 0s - loss: 0.4172 124/124 [==============================] - 0s 1ms/step - loss: 0.4212 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3678 46/124 [==========>...................] - ETA: 0s - loss: 0.4101 89/124 [====================>.........] - ETA: 0s - loss: 0.4107 124/124 [==============================] - 0s 1ms/step - loss: 0.4117 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4722 45/124 [=========>....................] - ETA: 0s - loss: 0.4299 89/124 [====================>.........] - ETA: 0s - loss: 0.4163 124/124 [==============================] - 0s 1ms/step - loss: 0.4167 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4754 46/124 [==========>...................] - ETA: 0s - loss: 0.3970 89/124 [====================>.........] - ETA: 0s - loss: 0.4068 124/124 [==============================] - 0s 1ms/step - loss: 0.3970 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2678 46/124 [==========>...................] - ETA: 0s - loss: 0.3783 91/124 [=====================>........] - ETA: 0s - loss: 0.3874 124/124 [==============================] - 0s 1ms/step - loss: 0.3909 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3500 44/124 [=========>....................] - ETA: 0s - loss: 0.3837 84/124 [===================>..........] - ETA: 0s - loss: 0.3770 124/124 [==============================] - 0s 1ms/step - loss: 0.3822 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.5491 36/124 [=======>......................] - ETA: 0s - loss: 0.3768 72/124 [================>.............] - ETA: 0s - loss: 0.3864 108/124 [=========================>....] - ETA: 0s - loss: 0.3771 124/124 [==============================] - 0s 1ms/step - loss: 0.3714 -> test with GAN.predict GAN tn, fp: 254, 52 GAN fn, tp: 7, 2 GAN f1 score: 0.063 GAN cohens kappa score: 0.015 -> test with 'LR' LR tn, fp: 207, 99 LR fn, tp: 5, 4 LR f1 score: 0.071 LR cohens kappa score: 0.020 LR average precision score: 0.058 -> test with 'RF' RF tn, fp: 298, 8 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.028 -> test with 'GB' GB tn, fp: 277, 29 GB fn, tp: 8, 1 GB f1 score: 0.051 GB cohens kappa score: 0.008 -> test with 'KNN' KNN tn, fp: 229, 77 KNN fn, tp: 7, 2 KNN f1 score: 0.045 KNN cohens kappa score: -0.006 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 0.3215 42/124 [=========>....................] - ETA: 0s - loss: 0.4300  84/124 [===================>..........] - ETA: 0s - loss: 0.4363 124/124 [==============================] - ETA: 0s - loss: 0.4188 124/124 [==============================] - 0s 1ms/step - loss: 0.4188 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3146 43/124 [=========>....................] - ETA: 0s - loss: 0.4283 84/124 [===================>..........] - ETA: 0s - loss: 0.4147 124/124 [==============================] - ETA: 0s - loss: 0.4063 124/124 [==============================] - 0s 1ms/step - loss: 0.4063 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4156 41/124 [========>.....................] - ETA: 0s - loss: 0.3940 77/124 [=================>............] - ETA: 0s - loss: 0.3987 112/124 [==========================>...] - ETA: 0s - loss: 0.3983 124/124 [==============================] - 0s 1ms/step - loss: 0.3972 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3600 38/124 [========>.....................] - ETA: 0s - loss: 0.3929 78/124 [=================>............] - ETA: 0s - loss: 0.3870 118/124 [===========================>..] - ETA: 0s - loss: 0.3919 124/124 [==============================] - 0s 1ms/step - loss: 0.3922 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3682 41/124 [========>.....................] - ETA: 0s - loss: 0.3950 81/124 [==================>...........] - ETA: 0s - loss: 0.3899 122/124 [============================>.] - ETA: 0s - loss: 0.3830 124/124 [==============================] - 0s 1ms/step - loss: 0.3827 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3401 42/124 [=========>....................] - ETA: 0s - loss: 0.3741 83/124 [===================>..........] - ETA: 0s - loss: 0.3669 124/124 [==============================] - ETA: 0s - loss: 0.3785 124/124 [==============================] - 0s 1ms/step - loss: 0.3785 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3296 39/124 [========>.....................] - ETA: 0s - loss: 0.3539 81/124 [==================>...........] - ETA: 0s - loss: 0.3649 121/124 [============================>.] - ETA: 0s - loss: 0.3767 124/124 [==============================] - 0s 1ms/step - loss: 0.3772 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3929 42/124 [=========>....................] - ETA: 0s - loss: 0.3640 84/124 [===================>..........] - ETA: 0s - loss: 0.3706 123/124 [============================>.] - ETA: 0s - loss: 0.3658 124/124 [==============================] - 0s 1ms/step - loss: 0.3652 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3761 43/124 [=========>....................] - ETA: 0s - loss: 0.3479 85/124 [===================>..........] - ETA: 0s - loss: 0.3605 124/124 [==============================] - 0s 1ms/step - loss: 0.3588 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2519 40/124 [========>.....................] - ETA: 0s - loss: 0.3430 81/124 [==================>...........] - ETA: 0s - loss: 0.3586 123/124 [============================>.] - ETA: 0s - loss: 0.3576 124/124 [==============================] - 0s 1ms/step - loss: 0.3581 -> test with GAN.predict GAN tn, fp: 250, 60 GAN fn, tp: 8, 3 GAN f1 score: 0.081 GAN cohens kappa score: 0.024 -> test with 'LR' LR tn, fp: 239, 71 LR fn, tp: 5, 6 LR f1 score: 0.136 LR cohens kappa score: 0.081 LR average precision score: 0.081 -> test with 'RF' RF tn, fp: 306, 4 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.019 -> test with 'GB' GB tn, fp: 293, 17 GB fn, tp: 9, 2 GB f1 score: 0.133 GB cohens kappa score: 0.094 -> test with 'KNN' KNN tn, fp: 237, 73 KNN fn, tp: 7, 4 KNN f1 score: 0.091 KNN cohens kappa score: 0.033 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 21s - loss: 0.5277 37/124 [=======>......................] - ETA: 0s - loss: 0.4325  73/124 [================>.............] - ETA: 0s - loss: 0.4423 111/124 [=========================>....] - ETA: 0s - loss: 0.4367 124/124 [==============================] - 0s 1ms/step - loss: 0.4392 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.5615 31/124 [======>.......................] - ETA: 0s - loss: 0.4341 58/124 [=============>................] - ETA: 0s - loss: 0.4189 87/124 [====================>.........] - ETA: 0s - loss: 0.4287 123/124 [============================>.] - ETA: 0s - loss: 0.4298 124/124 [==============================] - 0s 2ms/step - loss: 0.4294 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5084 37/124 [=======>......................] - ETA: 0s - loss: 0.4423 73/124 [================>.............] - ETA: 0s - loss: 0.4253 109/124 [=========================>....] - ETA: 0s - loss: 0.4217 124/124 [==============================] - 0s 1ms/step - loss: 0.4241 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3853 37/124 [=======>......................] - ETA: 0s - loss: 0.4186 70/124 [===============>..............] - ETA: 0s - loss: 0.4193 106/124 [========================>.....] - ETA: 0s - loss: 0.4182 124/124 [==============================] - 0s 1ms/step - loss: 0.4150 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4326 37/124 [=======>......................] - ETA: 0s - loss: 0.4141 72/124 [================>.............] - ETA: 0s - loss: 0.4048 108/124 [=========================>....] - ETA: 0s - loss: 0.4049 124/124 [==============================] - 0s 1ms/step - loss: 0.4069 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3504 37/124 [=======>......................] - ETA: 0s - loss: 0.4209 72/124 [================>.............] - ETA: 0s - loss: 0.4040 106/124 [========================>.....] - ETA: 0s - loss: 0.4068 124/124 [==============================] - 0s 1ms/step - loss: 0.4039 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3872 37/124 [=======>......................] - ETA: 0s - loss: 0.3952 73/124 [================>.............] - ETA: 0s - loss: 0.3920 109/124 [=========================>....] - ETA: 0s - loss: 0.3962 124/124 [==============================] - 0s 1ms/step - loss: 0.4003 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4001 35/124 [=======>......................] - ETA: 0s - loss: 0.3819 70/124 [===============>..............] - ETA: 0s - loss: 0.3839 106/124 [========================>.....] - ETA: 0s - loss: 0.3895 124/124 [==============================] - 0s 1ms/step - loss: 0.3879 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2892 36/124 [=======>......................] - ETA: 0s - loss: 0.3858 71/124 [================>.............] - ETA: 0s - loss: 0.3864 108/124 [=========================>....] - ETA: 0s - loss: 0.3801 124/124 [==============================] - 0s 1ms/step - loss: 0.3822 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4556 35/124 [=======>......................] - ETA: 0s - loss: 0.4066 70/124 [===============>..............] - ETA: 0s - loss: 0.3811 105/124 [========================>.....] - ETA: 0s - loss: 0.3834 124/124 [==============================] - 0s 1ms/step - loss: 0.3801 -> test with GAN.predict GAN tn, fp: 217, 93 GAN fn, tp: 6, 5 GAN f1 score: 0.092 GAN cohens kappa score: 0.032 -> test with 'LR' LR tn, fp: 217, 93 LR fn, tp: 5, 6 LR f1 score: 0.109 LR cohens kappa score: 0.051 LR average precision score: 0.102 -> test with 'RF' RF tn, fp: 301, 9 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.032 -> test with 'GB' GB tn, fp: 287, 23 GB fn, tp: 9, 2 GB f1 score: 0.111 GB cohens kappa score: 0.067 -> test with 'KNN' KNN tn, fp: 204, 106 KNN fn, tp: 7, 4 KNN f1 score: 0.066 KNN cohens kappa score: 0.004 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 19s - loss: 0.3672 40/124 [========>.....................] - ETA: 0s - loss: 0.4563  81/124 [==================>...........] - ETA: 0s - loss: 0.4543 123/124 [============================>.] - ETA: 0s - loss: 0.4518 124/124 [==============================] - 0s 1ms/step - loss: 0.4515 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3935 41/124 [========>.....................] - ETA: 0s - loss: 0.4442 76/124 [=================>............] - ETA: 0s - loss: 0.4410 109/124 [=========================>....] - ETA: 0s - loss: 0.4427 124/124 [==============================] - 0s 1ms/step - loss: 0.4438 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5630 39/124 [========>.....................] - ETA: 0s - loss: 0.4448 73/124 [================>.............] - ETA: 0s - loss: 0.4338 113/124 [==========================>...] - ETA: 0s - loss: 0.4391 124/124 [==============================] - 0s 1ms/step - loss: 0.4341 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4728 39/124 [========>.....................] - ETA: 0s - loss: 0.4415 79/124 [==================>...........] - ETA: 0s - loss: 0.4378 117/124 [===========================>..] - ETA: 0s - loss: 0.4302 124/124 [==============================] - 0s 1ms/step - loss: 0.4280 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3828 40/124 [========>.....................] - ETA: 0s - loss: 0.4197 80/124 [==================>...........] - ETA: 0s - loss: 0.4230 122/124 [============================>.] - ETA: 0s - loss: 0.4240 124/124 [==============================] - 0s 1ms/step - loss: 0.4245 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4473 41/124 [========>.....................] - ETA: 0s - loss: 0.4242 82/124 [==================>...........] - ETA: 0s - loss: 0.4173 119/124 [===========================>..] - ETA: 0s - loss: 0.4251 124/124 [==============================] - 0s 1ms/step - loss: 0.4268 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3482 41/124 [========>.....................] - ETA: 0s - loss: 0.4146 81/124 [==================>...........] - ETA: 0s - loss: 0.4205 121/124 [============================>.] - ETA: 0s - loss: 0.4134 124/124 [==============================] - 0s 1ms/step - loss: 0.4131 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4178 42/124 [=========>....................] - ETA: 0s - loss: 0.4165 83/124 [===================>..........] - ETA: 0s - loss: 0.4012 123/124 [============================>.] - ETA: 0s - loss: 0.4100 124/124 [==============================] - 0s 1ms/step - loss: 0.4102 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4013 42/124 [=========>....................] - ETA: 0s - loss: 0.3929 81/124 [==================>...........] - ETA: 0s - loss: 0.4042 121/124 [============================>.] - ETA: 0s - loss: 0.4102 124/124 [==============================] - 0s 1ms/step - loss: 0.4109 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4545 38/124 [========>.....................] - ETA: 0s - loss: 0.4060 78/124 [=================>............] - ETA: 0s - loss: 0.4041 119/124 [===========================>..] - ETA: 0s - loss: 0.3977 124/124 [==============================] - 0s 1ms/step - loss: 0.3986 -> test with GAN.predict GAN tn, fp: 226, 84 GAN fn, tp: 6, 5 GAN f1 score: 0.100 GAN cohens kappa score: 0.042 -> test with 'LR' LR tn, fp: 205, 105 LR fn, tp: 1, 10 LR f1 score: 0.159 LR cohens kappa score: 0.103 LR average precision score: 0.269 -> test with 'RF' RF tn, fp: 308, 2 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.011 -> test with 'GB' GB tn, fp: 285, 25 GB fn, tp: 7, 4 GB f1 score: 0.200 GB cohens kappa score: 0.158 -> test with 'KNN' KNN tn, fp: 253, 57 KNN fn, tp: 6, 5 KNN f1 score: 0.137 KNN cohens kappa score: 0.084 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 20s - loss: 0.4851 40/124 [========>.....................] - ETA: 0s - loss: 0.5143  79/124 [==================>...........] - ETA: 0s - loss: 0.5082 120/124 [============================>.] - ETA: 0s - loss: 0.5126 124/124 [==============================] - 0s 1ms/step - loss: 0.5121 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3673 40/124 [========>.....................] - ETA: 0s - loss: 0.4993 81/124 [==================>...........] - ETA: 0s - loss: 0.5013 120/124 [============================>.] - ETA: 0s - loss: 0.4997 124/124 [==============================] - 0s 1ms/step - loss: 0.4976 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4838 41/124 [========>.....................] - ETA: 0s - loss: 0.4777 81/124 [==================>...........] - ETA: 0s - loss: 0.4967 121/124 [============================>.] - ETA: 0s - loss: 0.4934 124/124 [==============================] - 0s 1ms/step - loss: 0.4935 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.5666 41/124 [========>.....................] - ETA: 0s - loss: 0.4841 83/124 [===================>..........] - ETA: 0s - loss: 0.4817 123/124 [============================>.] - ETA: 0s - loss: 0.4757 124/124 [==============================] - 0s 1ms/step - loss: 0.4750 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.5313 42/124 [=========>....................] - ETA: 0s - loss: 0.4670 83/124 [===================>..........] - ETA: 0s - loss: 0.4657 124/124 [==============================] - ETA: 0s - loss: 0.4697 124/124 [==============================] - 0s 1ms/step - loss: 0.4697 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4793 41/124 [========>.....................] - ETA: 0s - loss: 0.4497 82/124 [==================>...........] - ETA: 0s - loss: 0.4516 123/124 [============================>.] - ETA: 0s - loss: 0.4578 124/124 [==============================] - 0s 1ms/step - loss: 0.4565 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4986 40/124 [========>.....................] - ETA: 0s - loss: 0.4472 81/124 [==================>...........] - ETA: 0s - loss: 0.4466 121/124 [============================>.] - ETA: 0s - loss: 0.4567 124/124 [==============================] - 0s 1ms/step - loss: 0.4557 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4157 42/124 [=========>....................] - ETA: 0s - loss: 0.4331 83/124 [===================>..........] - ETA: 0s - loss: 0.4402 124/124 [==============================] - ETA: 0s - loss: 0.4414 124/124 [==============================] - 0s 1ms/step - loss: 0.4414 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.5629 42/124 [=========>....................] - ETA: 0s - loss: 0.4530 78/124 [=================>............] - ETA: 0s - loss: 0.4335 119/124 [===========================>..] - ETA: 0s - loss: 0.4332 124/124 [==============================] - 0s 1ms/step - loss: 0.4351 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2800 41/124 [========>.....................] - ETA: 0s - loss: 0.4425 82/124 [==================>...........] - ETA: 0s - loss: 0.4314 121/124 [============================>.] - ETA: 0s - loss: 0.4216 124/124 [==============================] - 0s 1ms/step - loss: 0.4229 -> test with GAN.predict GAN tn, fp: 268, 42 GAN fn, tp: 7, 4 GAN f1 score: 0.140 GAN cohens kappa score: 0.090 -> test with 'LR' LR tn, fp: 213, 97 LR fn, tp: 4, 7 LR f1 score: 0.122 LR cohens kappa score: 0.064 LR average precision score: 0.221 -> test with 'RF' RF tn, fp: 305, 5 RF fn, tp: 10, 1 RF f1 score: 0.118 RF cohens kappa score: 0.096 -> test with 'GB' GB tn, fp: 296, 14 GB fn, tp: 8, 3 GB f1 score: 0.214 GB cohens kappa score: 0.180 -> test with 'KNN' KNN tn, fp: 229, 81 KNN fn, tp: 8, 3 KNN f1 score: 0.063 KNN cohens kappa score: 0.003 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 21s - loss: 0.6464 44/124 [=========>....................] - ETA: 0s - loss: 0.4833  87/124 [====================>.........] - ETA: 0s - loss: 0.4860 124/124 [==============================] - 0s 1ms/step - loss: 0.4778 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.5697 45/124 [=========>....................] - ETA: 0s - loss: 0.4456 89/124 [====================>.........] - ETA: 0s - loss: 0.4598 124/124 [==============================] - 0s 1ms/step - loss: 0.4625 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3650 45/124 [=========>....................] - ETA: 0s - loss: 0.4595 90/124 [====================>.........] - ETA: 0s - loss: 0.4556 124/124 [==============================] - 0s 1ms/step - loss: 0.4542 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3777 43/124 [=========>....................] - ETA: 0s - loss: 0.4189 84/124 [===================>..........] - ETA: 0s - loss: 0.4429 124/124 [==============================] - 0s 1ms/step - loss: 0.4432 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4163 43/124 [=========>....................] - ETA: 0s - loss: 0.4326 87/124 [====================>.........] - ETA: 0s - loss: 0.4312 124/124 [==============================] - 0s 1ms/step - loss: 0.4333 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.6471 46/124 [==========>...................] - ETA: 0s - loss: 0.4314 86/124 [===================>..........] - ETA: 0s - loss: 0.4223 124/124 [==============================] - 0s 1ms/step - loss: 0.4237 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.5338 44/124 [=========>....................] - ETA: 0s - loss: 0.4117 87/124 [====================>.........] - ETA: 0s - loss: 0.4150 124/124 [==============================] - 0s 1ms/step - loss: 0.4147 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4324 44/124 [=========>....................] - ETA: 0s - loss: 0.4026 87/124 [====================>.........] - ETA: 0s - loss: 0.4142 124/124 [==============================] - 0s 1ms/step - loss: 0.4096 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4225 46/124 [==========>...................] - ETA: 0s - loss: 0.4133 89/124 [====================>.........] - ETA: 0s - loss: 0.4005 124/124 [==============================] - 0s 1ms/step - loss: 0.3993 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4132 39/124 [========>.....................] - ETA: 0s - loss: 0.3750 80/124 [==================>...........] - ETA: 0s - loss: 0.3808 124/124 [==============================] - ETA: 0s - loss: 0.3907 124/124 [==============================] - 0s 1ms/step - loss: 0.3907 -> test with GAN.predict GAN tn, fp: 236, 70 GAN fn, tp: 6, 3 GAN f1 score: 0.073 GAN cohens kappa score: 0.023 -> test with 'LR' LR tn, fp: 231, 75 LR fn, tp: 3, 6 LR f1 score: 0.133 LR cohens kappa score: 0.086 LR average precision score: 0.141 -> test with 'RF' RF tn, fp: 302, 4 RF fn, tp: 8, 1 RF f1 score: 0.143 RF cohens kappa score: 0.125 -> test with 'GB' GB tn, fp: 289, 17 GB fn, tp: 8, 1 GB f1 score: 0.074 GB cohens kappa score: 0.037 -> test with 'KNN' KNN tn, fp: 250, 56 KNN fn, tp: 8, 1 KNN f1 score: 0.030 KNN cohens kappa score: -0.020 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 241, 122 LR fn, tp: 6, 10 LR f1 score: 0.184 LR cohens kappa score: 0.131 LR average precision score: 0.425 average: LR tn, fp: 218.4, 90.8 LR fn, tp: 3.56, 7.04 LR f1 score: 0.130 LR cohens kappa score: 0.075 LR average precision score: 0.166 minimum: LR tn, fp: 188, 69 LR fn, tp: 1, 4 LR f1 score: 0.071 LR cohens kappa score: 0.020 LR average precision score: 0.058 -----[ RF ]----- maximum: RF tn, fp: 310, 9 RF fn, tp: 11, 2 RF f1 score: 0.267 RF cohens kappa score: 0.253 average: RF tn, fp: 305.04, 4.16 RF fn, tp: 9.96, 0.64 RF f1 score: 0.079 RF cohens kappa score: 0.062 minimum: RF tn, fp: 298, 0 RF fn, tp: 8, 0 RF f1 score: 0.000 RF cohens kappa score: -0.032 -----[ GB ]----- maximum: GB tn, fp: 302, 29 GB fn, tp: 11, 6 GB f1 score: 0.324 GB cohens kappa score: 0.290 average: GB tn, fp: 290.64, 18.56 GB fn, tp: 8.36, 2.24 GB f1 score: 0.133 GB cohens kappa score: 0.095 minimum: GB tn, fp: 277, 8 GB fn, tp: 5, 0 GB f1 score: 0.000 GB cohens kappa score: -0.051 -----[ KNN ]----- maximum: KNN tn, fp: 253, 107 KNN fn, tp: 10, 6 KNN f1 score: 0.137 KNN cohens kappa score: 0.084 average: KNN tn, fp: 227.68, 81.52 KNN fn, tp: 7.08, 3.52 KNN f1 score: 0.074 KNN cohens kappa score: 0.016 minimum: KNN tn, fp: 203, 56 KNN fn, tp: 4, 1 KNN f1 score: 0.022 KNN cohens kappa score: -0.040 -----[ GAN ]----- maximum: GAN tn, fp: 284, 98 GAN fn, tp: 8, 8 GAN f1 score: 0.227 GAN cohens kappa score: 0.185 average: GAN tn, fp: 243.36, 65.84 GAN fn, tp: 6.04, 4.56 GAN f1 score: 0.118 GAN cohens kappa score: 0.065 minimum: GAN tn, fp: 212, 26 GAN fn, tp: 3, 2 GAN f1 score: 0.058 GAN cohens kappa score: 0.002