/////////////////////////////////////////// // Running convGAN-majority-full on folding_kr-vs-k-three_vs_eleven /////////////////////////////////////////// Load 'data_input/folding_kr-vs-k-three_vs_eleven' 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 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 35s - loss: 2.1653e-10 37/229 [===>..........................] - ETA: 0s - loss: 1.5668e-06  73/229 [========>.....................] - ETA: 0s - loss: 1.7554e-05 113/229 [=============>................] - ETA: 0s - loss: 0.0034  152/229 [==================>...........] - ETA: 0s - loss: 0.0025 193/229 [========================>.....] - ETA: 0s - loss: 0.0020 229/229 [==============================] - 0s 1ms/step - loss: 0.0017 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 1.5602e-10 42/229 [====>.........................] - ETA: 0s - loss: 3.3373e-05 82/229 [=========>....................] - ETA: 0s - loss: 5.4627e-04 123/229 [===============>..............] - ETA: 0s - loss: 3.7758e-04 162/229 [====================>.........] - ETA: 0s - loss: 3.0624e-04 202/229 [=========================>....] - ETA: 0s - loss: 2.4637e-04 229/229 [==============================] - 0s 1ms/step - loss: 2.1800e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 5.6221e-11 42/229 [====>.........................] - ETA: 0s - loss: 4.3414e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.1774e-05 125/229 [===============>..............] - ETA: 0s - loss: 8.2204e-06 165/229 [====================>.........] - ETA: 0s - loss: 1.3247e-05 206/229 [=========================>....] - ETA: 0s - loss: 1.0621e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.0185e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 3.6887e-04 37/229 [===>..........................] - ETA: 0s - loss: 1.0753e-05 69/229 [========>.....................] - ETA: 0s - loss: 5.8833e-06 101/229 [============>.................] - ETA: 0s - loss: 5.4773e-06 140/229 [=================>............] - ETA: 0s - loss: 8.7038e-06 179/229 [======================>.......] - ETA: 0s - loss: 7.0331e-06 220/229 [===========================>..] - ETA: 0s - loss: 6.1172e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.8951e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.2538e-10 42/229 [====>.........................] - ETA: 0s - loss: 7.9002e-07 83/229 [=========>....................] - ETA: 0s - loss: 1.3285e-06 123/229 [===============>..............] - ETA: 0s - loss: 2.8823e-06 163/229 [====================>.........] - ETA: 0s - loss: 5.1520e-06 204/229 [=========================>....] - ETA: 0s - loss: 4.5603e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.2923e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.2532e-10 41/229 [====>.........................] - ETA: 0s - loss: 1.0039e-05 83/229 [=========>....................] - ETA: 0s - loss: 5.2040e-06 123/229 [===============>..............] - ETA: 0s - loss: 4.4424e-06 165/229 [====================>.........] - ETA: 0s - loss: 4.5518e-06 206/229 [=========================>....] - ETA: 0s - loss: 3.6757e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.5038e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 7.4032e-11 41/229 [====>.........................] - ETA: 0s - loss: 3.7923e-07 81/229 [=========>....................] - ETA: 0s - loss: 2.1986e-06 121/229 [==============>...............] - ETA: 0s - loss: 4.2606e-06 163/229 [====================>.........] - ETA: 0s - loss: 3.9232e-06 202/229 [=========================>....] - ETA: 0s - loss: 3.2006e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.0125e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 3.5768e-10 40/229 [====>.........................] - ETA: 0s - loss: 1.4506e-06 80/229 [=========>....................] - ETA: 0s - loss: 5.3084e-06 120/229 [==============>...............] - ETA: 0s - loss: 4.1929e-06 160/229 [===================>..........] - ETA: 0s - loss: 3.2830e-06 199/229 [=========================>....] - ETA: 0s - loss: 3.0707e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.7393e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 3.5889e-10 42/229 [====>.........................] - ETA: 0s - loss: 5.6693e-06 83/229 [=========>....................] - ETA: 0s - loss: 3.2320e-06 124/229 [===============>..............] - ETA: 0s - loss: 2.8396e-06 165/229 [====================>.........] - ETA: 0s - loss: 2.1751e-06 206/229 [=========================>....] - ETA: 0s - loss: 2.7515e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.4986e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 6.9710e-11 41/229 [====>.........................] - ETA: 0s - loss: 9.9660e-07 83/229 [=========>....................] - ETA: 0s - loss: 2.0055e-06 124/229 [===============>..............] - ETA: 0s - loss: 2.1189e-06 165/229 [====================>.........] - ETA: 0s - loss: 1.8003e-06 205/229 [=========================>....] - ETA: 0s - loss: 2.5907e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.3375e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 1, 16 LR f1 score: 0.970 LR cohens kappa score: 0.969 LR average precision score: 0.997 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 35s - loss: 1.0174e-10 42/229 [====>.........................] - ETA: 0s - loss: 0.0036  83/229 [=========>....................] - ETA: 0s - loss: 0.0027 122/229 [==============>...............] - ETA: 0s - loss: 0.0018 163/229 [====================>.........] - ETA: 0s - loss: 0.0014 202/229 [=========================>....] - ETA: 0s - loss: 0.0021 229/229 [==============================] - 0s 1ms/step - loss: 0.0019 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 8.9445e-10 43/229 [====>.........................] - ETA: 0s - loss: 0.0019  84/229 [==========>...................] - ETA: 0s - loss: 9.9791e-04 124/229 [===============>..............] - ETA: 0s - loss: 6.7704e-04 162/229 [====================>.........] - ETA: 0s - loss: 5.1868e-04 199/229 [=========================>....] - ETA: 0s - loss: 4.2269e-04 229/229 [==============================] - 0s 1ms/step - loss: 3.6853e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 7.8288e-09 39/229 [====>.........................] - ETA: 0s - loss: 1.8100e-04 79/229 [=========>....................] - ETA: 0s - loss: 1.0219e-04 117/229 [==============>...............] - ETA: 0s - loss: 6.9102e-05 159/229 [===================>..........] - ETA: 0s - loss: 5.0996e-05 201/229 [=========================>....] - ETA: 0s - loss: 4.2229e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.7268e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 8.9368e-08 42/229 [====>.........................] - ETA: 0s - loss: 2.9445e-05 84/229 [==========>...................] - ETA: 0s - loss: 2.0032e-05 126/229 [===============>..............] - ETA: 0s - loss: 1.3570e-05 170/229 [=====================>........] - ETA: 0s - loss: 1.2332e-05 210/229 [==========================>...] - ETA: 0s - loss: 1.0992e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.0133e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.8817e-10 43/229 [====>.........................] - ETA: 0s - loss: 4.4876e-06 84/229 [==========>...................] - ETA: 0s - loss: 1.4341e-05 125/229 [===============>..............] - ETA: 0s - loss: 9.7839e-06 167/229 [====================>.........] - ETA: 0s - loss: 8.8573e-06 208/229 [==========================>...] - ETA: 0s - loss: 7.3599e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.9665e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 7.3402e-11 40/229 [====>.........................] - ETA: 0s - loss: 6.1048e-06 82/229 [=========>....................] - ETA: 0s - loss: 5.1272e-06 124/229 [===============>..............] - ETA: 0s - loss: 8.4561e-06 166/229 [====================>.........] - ETA: 0s - loss: 8.9312e-06 208/229 [==========================>...] - ETA: 0s - loss: 7.2516e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.6290e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 4.9478e-11 42/229 [====>.........................] - ETA: 0s - loss: 6.9414e-06 84/229 [==========>...................] - ETA: 0s - loss: 5.7238e-06 125/229 [===============>..............] - ETA: 0s - loss: 8.5765e-06 161/229 [====================>.........] - ETA: 0s - loss: 6.8810e-06 197/229 [========================>.....] - ETA: 0s - loss: 5.7494e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.6810e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 2.9824e-11 43/229 [====>.........................] - ETA: 0s - loss: 6.3279e-06 82/229 [=========>....................] - ETA: 0s - loss: 4.1960e-06 123/229 [===============>..............] - ETA: 0s - loss: 4.0643e-06 164/229 [====================>.........] - ETA: 0s - loss: 4.4618e-06 206/229 [=========================>....] - ETA: 0s - loss: 3.6029e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.9183e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 9.0593e-11 40/229 [====>.........................] - ETA: 0s - loss: 6.1478e-06 81/229 [=========>....................] - ETA: 0s - loss: 7.0044e-06 122/229 [==============>...............] - ETA: 0s - loss: 5.4770e-06 161/229 [====================>.........] - ETA: 0s - loss: 5.1169e-06 200/229 [=========================>....] - ETA: 0s - loss: 4.7519e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.3244e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 2.4224e-10 39/229 [====>.........................] - ETA: 0s - loss: 1.0416e-06 81/229 [=========>....................] - ETA: 0s - loss: 1.8830e-06 122/229 [==============>...............] - ETA: 0s - loss: 2.9440e-06 163/229 [====================>.........] - ETA: 0s - loss: 2.2915e-06 203/229 [=========================>....] - ETA: 0s - loss: 3.9718e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.9088e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 1, 16 LR f1 score: 0.970 LR cohens kappa score: 0.969 LR average precision score: 0.997 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 1, 16 RF f1 score: 0.970 RF cohens kappa score: 0.969 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 571, 0 KNN fn, tp: 0, 17 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 34s - loss: 3.8923e-10 42/229 [====>.........................] - ETA: 0s - loss: 0.0053  84/229 [==========>...................] - ETA: 0s - loss: 0.0032 125/229 [===============>..............] - ETA: 0s - loss: 0.0027 164/229 [====================>.........] - ETA: 0s - loss: 0.0034 206/229 [=========================>....] - ETA: 0s - loss: 0.0028 229/229 [==============================] - 0s 1ms/step - loss: 0.0026 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 5.2603e-11 42/229 [====>.........................] - ETA: 0s - loss: 1.1063e-04 82/229 [=========>....................] - ETA: 0s - loss: 8.2208e-05 123/229 [===============>..............] - ETA: 0s - loss: 7.0409e-05 163/229 [====================>.........] - ETA: 0s - loss: 5.4553e-05 204/229 [=========================>....] - ETA: 0s - loss: 4.4869e-05 229/229 [==============================] - 0s 1ms/step - loss: 4.0223e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 3.1164e-07 43/229 [====>.........................] - ETA: 0s - loss: 4.5115e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.6978e-05 123/229 [===============>..............] - ETA: 0s - loss: 1.6278e-05 163/229 [====================>.........] - ETA: 0s - loss: 2.5496e-05 204/229 [=========================>....] - ETA: 0s - loss: 2.4749e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.4238e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 2.3785e-05 41/229 [====>.........................] - ETA: 0s - loss: 3.2315e-05 83/229 [=========>....................] - ETA: 0s - loss: 1.7561e-05 124/229 [===============>..............] - ETA: 0s - loss: 1.5772e-05 165/229 [====================>.........] - ETA: 0s - loss: 1.3937e-05 200/229 [=========================>....] - ETA: 0s - loss: 1.2053e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.0037e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 4.0413e-11 31/229 [===>..........................] - ETA: 0s - loss: 6.1555e-06 67/229 [=======>......................] - ETA: 0s - loss: 4.5000e-06 108/229 [=============>................] - ETA: 0s - loss: 1.2281e-05 147/229 [==================>...........] - ETA: 0s - loss: 2.0483e-05 186/229 [=======================>......] - ETA: 0s - loss: 1.9646e-05 225/229 [============================>.] - ETA: 0s - loss: 1.7693e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.7437e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.2153e-11 39/229 [====>.........................] - ETA: 0s - loss: 3.9847e-06 80/229 [=========>....................] - ETA: 0s - loss: 1.5216e-05 120/229 [==============>...............] - ETA: 0s - loss: 1.5041e-05 161/229 [====================>.........] - ETA: 0s - loss: 1.3485e-05 199/229 [=========================>....] - ETA: 0s - loss: 1.1225e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.5402e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 4.0149e-11 42/229 [====>.........................] - ETA: 0s - loss: 2.9039e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.3991e-05 124/229 [===============>..............] - ETA: 0s - loss: 1.2352e-05 166/229 [====================>.........] - ETA: 0s - loss: 1.8667e-05 207/229 [==========================>...] - ETA: 0s - loss: 1.5908e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.4547e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 8.9964e-09 39/229 [====>.........................] - ETA: 0s - loss: 2.5384e-05 77/229 [=========>....................] - ETA: 0s - loss: 1.6957e-05 116/229 [==============>...............] - ETA: 0s - loss: 1.1742e-05 156/229 [===================>..........] - ETA: 0s - loss: 1.3402e-05 194/229 [========================>.....] - ETA: 0s - loss: 1.5315e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.3309e-05 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 7.1102e-09 42/229 [====>.........................] - ETA: 0s - loss: 2.2422e-05 81/229 [=========>....................] - ETA: 0s - loss: 1.4215e-05 119/229 [==============>...............] - ETA: 0s - loss: 1.7034e-05 159/229 [===================>..........] - ETA: 0s - loss: 1.4359e-05 201/229 [=========================>....] - ETA: 0s - loss: 1.3919e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.2299e-05 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 4.9968e-11 40/229 [====>.........................] - ETA: 0s - loss: 8.4437e-06 81/229 [=========>....................] - ETA: 0s - loss: 6.0050e-06 121/229 [==============>...............] - ETA: 0s - loss: 1.1041e-05 162/229 [====================>.........] - ETA: 0s - loss: 9.5449e-06 203/229 [=========================>....] - ETA: 0s - loss: 1.0826e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.1587e-05 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 571, 0 KNN fn, tp: 0, 17 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 36s - loss: 2.5435e-08 43/229 [====>.........................] - ETA: 0s - loss: 9.1888e-06  81/229 [=========>....................] - ETA: 0s - loss: 5.6551e-06 122/229 [==============>...............] - ETA: 0s - loss: 4.7175e-06 163/229 [====================>.........] - ETA: 0s - loss: 4.6483e-06 203/229 [=========================>....] - ETA: 0s - loss: 4.0293e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.8884e-06 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 1.9154e-08 43/229 [====>.........................] - ETA: 0s - loss: 6.9401e-07 85/229 [==========>...................] - ETA: 0s - loss: 1.4416e-06 127/229 [===============>..............] - ETA: 0s - loss: 2.4364e-06 169/229 [=====================>........] - ETA: 0s - loss: 1.8638e-06 210/229 [==========================>...] - ETA: 0s - loss: 1.5328e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.6226e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 1.4689e-08 43/229 [====>.........................] - ETA: 0s - loss: 1.3079e-06 84/229 [==========>...................] - ETA: 0s - loss: 1.2042e-06 124/229 [===============>..............] - ETA: 0s - loss: 1.2123e-06 164/229 [====================>.........] - ETA: 0s - loss: 1.4067e-06 204/229 [=========================>....] - ETA: 0s - loss: 1.2330e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.1802e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 5.7867e-07 41/229 [====>.........................] - ETA: 0s - loss: 5.2526e-07 83/229 [=========>....................] - ETA: 0s - loss: 1.3211e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.0871e-06 164/229 [====================>.........] - ETA: 0s - loss: 1.2066e-06 204/229 [=========================>....] - ETA: 0s - loss: 1.0153e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.0556e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 2.9226e-09 43/229 [====>.........................] - ETA: 0s - loss: 1.0271e-06 83/229 [=========>....................] - ETA: 0s - loss: 7.1784e-07 123/229 [===============>..............] - ETA: 0s - loss: 5.8941e-07 165/229 [====================>.........] - ETA: 0s - loss: 6.3452e-07 206/229 [=========================>....] - ETA: 0s - loss: 8.1759e-07 229/229 [==============================] - 0s 1ms/step - loss: 7.9359e-07 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.2880e-09 42/229 [====>.........................] - ETA: 0s - loss: 1.3096e-06 78/229 [=========>....................] - ETA: 0s - loss: 1.4499e-06 114/229 [=============>................] - ETA: 0s - loss: 1.0918e-06 153/229 [===================>..........] - ETA: 0s - loss: 9.5546e-07 195/229 [========================>.....] - ETA: 0s - loss: 9.5050e-07 229/229 [==============================] - 0s 1ms/step - loss: 9.1526e-07 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 2.8617e-08 42/229 [====>.........................] - ETA: 0s - loss: 1.3965e-07 82/229 [=========>....................] - ETA: 0s - loss: 5.0365e-07 122/229 [==============>...............] - ETA: 0s - loss: 4.9609e-07 163/229 [====================>.........] - ETA: 0s - loss: 5.6909e-07 204/229 [=========================>....] - ETA: 0s - loss: 6.2397e-07 229/229 [==============================] - 0s 1ms/step - loss: 6.1794e-07 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 5.5536e-08 42/229 [====>.........................] - ETA: 0s - loss: 1.2756e-07 80/229 [=========>....................] - ETA: 0s - loss: 4.2134e-07 122/229 [==============>...............] - ETA: 0s - loss: 3.8416e-07 161/229 [====================>.........] - ETA: 0s - loss: 3.5399e-07 203/229 [=========================>....] - ETA: 0s - loss: 5.0470e-07 229/229 [==============================] - 0s 1ms/step - loss: 5.3832e-07 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 4.0914e-08 42/229 [====>.........................] - ETA: 0s - loss: 5.2315e-07 83/229 [=========>....................] - ETA: 0s - loss: 5.3217e-07 124/229 [===============>..............] - ETA: 0s - loss: 3.9586e-07 165/229 [====================>.........] - ETA: 0s - loss: 3.3282e-07 206/229 [=========================>....] - ETA: 0s - loss: 3.8597e-07 229/229 [==============================] - 0s 1ms/step - loss: 4.9372e-07 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 4.4752e-06 43/229 [====>.........................] - ETA: 0s - loss: 7.7096e-07 84/229 [==========>...................] - ETA: 0s - loss: 7.5249e-07 125/229 [===============>..............] - ETA: 0s - loss: 5.7973e-07 165/229 [====================>.........] - ETA: 0s - loss: 4.4911e-07 204/229 [=========================>....] - ETA: 0s - loss: 4.3779e-07 229/229 [==============================] - 0s 1ms/step - loss: 4.1461e-07 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 570, 1 LR fn, tp: 0, 17 LR f1 score: 0.971 LR cohens kappa score: 0.971 LR average precision score: 0.997 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 567, 4 KNN fn, tp: 0, 17 KNN f1 score: 0.895 KNN cohens kappa score: 0.891 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2216 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 45s - loss: 1.3813e-09 40/229 [====>.........................] - ETA: 0s - loss: 0.0102  80/229 [=========>....................] - ETA: 0s - loss: 0.0085 121/229 [==============>...............] - ETA: 0s - loss: 0.0056 159/229 [===================>..........] - ETA: 0s - loss: 0.0043 200/229 [=========================>....] - ETA: 0s - loss: 0.0034 229/229 [==============================] - 0s 1ms/step - loss: 0.0030 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 1.1779e-10 42/229 [====>.........................] - ETA: 0s - loss: 2.8644e-05 83/229 [=========>....................] - ETA: 0s - loss: 2.6170e-04 123/229 [===============>..............] - ETA: 0s - loss: 2.8271e-04 163/229 [====================>.........] - ETA: 0s - loss: 2.1649e-04 204/229 [=========================>....] - ETA: 0s - loss: 1.8565e-04 229/229 [==============================] - 0s 1ms/step - loss: 1.6601e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 9.2069e-11 42/229 [====>.........................] - ETA: 0s - loss: 1.5548e-05 83/229 [=========>....................] - ETA: 0s - loss: 2.0593e-05 124/229 [===============>..............] - ETA: 0s - loss: 2.9142e-05 165/229 [====================>.........] - ETA: 0s - loss: 2.7048e-05 205/229 [=========================>....] - ETA: 0s - loss: 2.3523e-05 229/229 [==============================] - 0s 1ms/step - loss: 4.4783e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 9.5589e-11 39/229 [====>.........................] - ETA: 0s - loss: 4.3254e-05 73/229 [========>.....................] - ETA: 0s - loss: 5.5888e-05 105/229 [============>.................] - ETA: 0s - loss: 4.2466e-05 138/229 [=================>............] - ETA: 0s - loss: 3.8776e-05 180/229 [======================>.......] - ETA: 0s - loss: 3.6111e-05 220/229 [===========================>..] - ETA: 0s - loss: 3.3559e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.2337e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 2.1963e-08 42/229 [====>.........................] - ETA: 0s - loss: 8.8498e-05 82/229 [=========>....................] - ETA: 0s - loss: 5.6051e-05 123/229 [===============>..............] - ETA: 0s - loss: 4.1336e-05 162/229 [====================>.........] - ETA: 0s - loss: 3.3738e-05 201/229 [=========================>....] - ETA: 0s - loss: 2.8029e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.6840e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.3079e-10 45/229 [====>.........................] - ETA: 0s - loss: 7.4848e-06 85/229 [==========>...................] - ETA: 0s - loss: 6.3862e-06 126/229 [===============>..............] - ETA: 0s - loss: 2.3042e-05 166/229 [====================>.........] - ETA: 0s - loss: 1.9241e-05 206/229 [=========================>....] - ETA: 0s - loss: 2.0482e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.2854e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 6.9181e-07 40/229 [====>.........................] - ETA: 0s - loss: 5.0830e-05 74/229 [========>.....................] - ETA: 0s - loss: 3.2176e-05 108/229 [=============>................] - ETA: 0s - loss: 2.9894e-05 147/229 [==================>...........] - ETA: 0s - loss: 2.4408e-05 188/229 [=======================>......] - ETA: 0s - loss: 2.0272e-05 228/229 [============================>.] - ETA: 0s - loss: 2.0029e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.9994e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 6.2384e-07 41/229 [====>.........................] - ETA: 0s - loss: 1.1195e-05 81/229 [=========>....................] - ETA: 0s - loss: 8.6632e-06 120/229 [==============>...............] - ETA: 0s - loss: 1.7499e-05 159/229 [===================>..........] - ETA: 0s - loss: 1.5439e-05 198/229 [========================>.....] - ETA: 0s - loss: 1.9268e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.7254e-05 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.4248e-10 39/229 [====>.........................] - ETA: 0s - loss: 1.6353e-05 80/229 [=========>....................] - ETA: 0s - loss: 1.6290e-05 120/229 [==============>...............] - ETA: 0s - loss: 1.1357e-05 161/229 [====================>.........] - ETA: 0s - loss: 1.5505e-05 200/229 [=========================>....] - ETA: 0s - loss: 1.2880e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.5766e-05 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 1.0003e-04 43/229 [====>.........................] - ETA: 0s - loss: 7.4415e-06 84/229 [==========>...................] - ETA: 0s - loss: 5.8251e-06 124/229 [===============>..............] - ETA: 0s - loss: 5.9358e-06 163/229 [====================>.........] - ETA: 0s - loss: 1.5578e-05 203/229 [=========================>....] - ETA: 0s - loss: 1.5453e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.4192e-05 -> test with GAN.predict GAN tn, fp: 569, 1 GAN fn, tp: 0, 13 GAN f1 score: 0.963 GAN cohens kappa score: 0.962 -> test with 'LR' LR tn, fp: 566, 4 LR fn, tp: 1, 12 LR f1 score: 0.828 LR cohens kappa score: 0.823 LR average precision score: 0.911 -> test with 'RF' RF tn, fp: 570, 0 RF fn, tp: 0, 13 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 570, 0 GB fn, tp: 0, 13 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 569, 1 KNN fn, tp: 0, 13 KNN f1 score: 0.963 KNN cohens kappa score: 0.962 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 35s - loss: 1.5476e-09 40/229 [====>.........................] - ETA: 0s - loss: 0.0018  81/229 [=========>....................] - ETA: 0s - loss: 0.0011 121/229 [==============>...............] - ETA: 0s - loss: 0.0020 161/229 [====================>.........] - ETA: 0s - loss: 0.0015 201/229 [=========================>....] - ETA: 0s - loss: 0.0023 229/229 [==============================] - 0s 1ms/step - loss: 0.0020 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 5.1076e-06 42/229 [====>.........................] - ETA: 0s - loss: 4.4563e-05 82/229 [=========>....................] - ETA: 0s - loss: 7.0322e-05 123/229 [===============>..............] - ETA: 0s - loss: 4.7162e-05 164/229 [====================>.........] - ETA: 0s - loss: 3.8032e-05 206/229 [=========================>....] - ETA: 0s - loss: 5.4897e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.0171e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 0.0026 41/229 [====>.........................] - ETA: 0s - loss: 8.6396e-05 79/229 [=========>....................] - ETA: 0s - loss: 5.3294e-05 118/229 [==============>...............] - ETA: 0s - loss: 4.6385e-05 158/229 [===================>..........] - ETA: 0s - loss: 4.0498e-05 192/229 [========================>.....] - ETA: 0s - loss: 3.9865e-05 226/229 [============================>.] - ETA: 0s - loss: 3.4262e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.3926e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 3.1053e-10 36/229 [===>..........................] - ETA: 0s - loss: 3.6455e-05 76/229 [========>.....................] - ETA: 0s - loss: 3.1391e-05 118/229 [==============>...............] - ETA: 0s - loss: 2.6533e-05 158/229 [===================>..........] - ETA: 0s - loss: 2.0106e-05 199/229 [=========================>....] - ETA: 0s - loss: 2.3781e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.3104e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 5.9962e-10 37/229 [===>..........................] - ETA: 0s - loss: 1.1455e-05 78/229 [=========>....................] - ETA: 0s - loss: 1.6500e-05 118/229 [==============>...............] - ETA: 0s - loss: 1.9794e-05 159/229 [===================>..........] - ETA: 0s - loss: 2.3307e-05 199/229 [=========================>....] - ETA: 0s - loss: 1.8909e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.0837e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 5.0845e-08 39/229 [====>.........................] - ETA: 0s - loss: 2.8428e-05 79/229 [=========>....................] - ETA: 0s - loss: 1.7685e-05 118/229 [==============>...............] - ETA: 0s - loss: 1.3776e-05 159/229 [===================>..........] - ETA: 0s - loss: 1.5392e-05 200/229 [=========================>....] - ETA: 0s - loss: 1.8737e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.9234e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 8.0076e-08 40/229 [====>.........................] - ETA: 0s - loss: 2.8844e-05 81/229 [=========>....................] - ETA: 0s - loss: 1.6949e-05 125/229 [===============>..............] - ETA: 0s - loss: 1.7054e-05 166/229 [====================>.........] - ETA: 0s - loss: 1.9874e-05 206/229 [=========================>....] - ETA: 0s - loss: 1.7784e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.6888e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 9.6217e-08 40/229 [====>.........................] - ETA: 0s - loss: 3.5363e-06 80/229 [=========>....................] - ETA: 0s - loss: 2.2425e-05 120/229 [==============>...............] - ETA: 0s - loss: 2.1339e-05 161/229 [====================>.........] - ETA: 0s - loss: 1.8005e-05 202/229 [=========================>....] - ETA: 0s - loss: 1.4732e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.7103e-05 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.5386e-04 42/229 [====>.........................] - ETA: 0s - loss: 1.3623e-05 82/229 [=========>....................] - ETA: 0s - loss: 7.5829e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.0918e-05 164/229 [====================>.........] - ETA: 0s - loss: 1.5180e-05 202/229 [=========================>....] - ETA: 0s - loss: 1.5924e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.5515e-05 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 1.9041e-10 36/229 [===>..........................] - ETA: 0s - loss: 1.4285e-05 74/229 [========>.....................] - ETA: 0s - loss: 1.7706e-05 114/229 [=============>................] - ETA: 0s - loss: 1.4762e-05 152/229 [==================>...........] - ETA: 0s - loss: 1.3050e-05 193/229 [========================>.....] - ETA: 0s - loss: 1.0710e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.4061e-05 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 571, 0 KNN fn, tp: 1, 16 KNN f1 score: 0.970 KNN cohens kappa score: 0.969 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 44s - loss: 1.7069e-10 40/229 [====>.........................] - ETA: 0s - loss: 0.0017  81/229 [=========>....................] - ETA: 0s - loss: 0.0053 122/229 [==============>...............] - ETA: 0s - loss: 0.0035 161/229 [====================>.........] - ETA: 0s - loss: 0.0028 200/229 [=========================>....] - ETA: 0s - loss: 0.0023 229/229 [==============================] - 0s 1ms/step - loss: 0.0020 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 5.8305e-08 43/229 [====>.........................] - ETA: 0s - loss: 1.5036e-06 84/229 [==========>...................] - ETA: 0s - loss: 6.3833e-06 122/229 [==============>...............] - ETA: 0s - loss: 5.1298e-06 163/229 [====================>.........] - ETA: 0s - loss: 3.8839e-06 204/229 [=========================>....] - ETA: 0s - loss: 4.2171e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.1783e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 4.1535e-06 40/229 [====>.........................] - ETA: 0s - loss: 7.1735e-06 79/229 [=========>....................] - ETA: 0s - loss: 6.9541e-06 120/229 [==============>...............] - ETA: 0s - loss: 4.9584e-06 160/229 [===================>..........] - ETA: 0s - loss: 3.8917e-06 197/229 [========================>.....] - ETA: 0s - loss: 3.5489e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.8484e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 3.7929e-08 41/229 [====>.........................] - ETA: 0s - loss: 2.1895e-06 81/229 [=========>....................] - ETA: 0s - loss: 1.3230e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.4584e-06 164/229 [====================>.........] - ETA: 0s - loss: 1.5550e-06 205/229 [=========================>....] - ETA: 0s - loss: 3.6067e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.6203e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 8.7231e-10 41/229 [====>.........................] - ETA: 0s - loss: 4.7791e-07 82/229 [=========>....................] - ETA: 0s - loss: 1.2116e-06 123/229 [===============>..............] - ETA: 0s - loss: 2.5558e-06 162/229 [====================>.........] - ETA: 0s - loss: 2.7222e-06 200/229 [=========================>....] - ETA: 0s - loss: 2.8321e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.3691e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.4783e-09 38/229 [===>..........................] - ETA: 0s - loss: 1.9036e-07 76/229 [========>.....................] - ETA: 0s - loss: 1.0391e-06 116/229 [==============>...............] - ETA: 0s - loss: 2.5926e-06 155/229 [===================>..........] - ETA: 0s - loss: 3.0125e-06 193/229 [========================>.....] - ETA: 0s - loss: 2.5786e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.1516e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 2.8070e-09 36/229 [===>..........................] - ETA: 0s - loss: 4.4846e-07 72/229 [========>.....................] - ETA: 0s - loss: 3.3640e-06 109/229 [=============>................] - ETA: 0s - loss: 2.7301e-06 148/229 [==================>...........] - ETA: 0s - loss: 3.6701e-06 189/229 [=======================>......] - ETA: 0s - loss: 2.9473e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.9633e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 5.0705e-09 42/229 [====>.........................] - ETA: 0s - loss: 1.0532e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.2854e-06 124/229 [===============>..............] - ETA: 0s - loss: 1.6700e-06 165/229 [====================>.........] - ETA: 0s - loss: 3.1499e-06 205/229 [=========================>....] - ETA: 0s - loss: 2.7190e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.8261e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 8.5116e-10 40/229 [====>.........................] - ETA: 0s - loss: 5.7197e-07 81/229 [=========>....................] - ETA: 0s - loss: 7.6529e-07 121/229 [==============>...............] - ETA: 0s - loss: 2.4245e-06 162/229 [====================>.........] - ETA: 0s - loss: 2.3617e-06 203/229 [=========================>....] - ETA: 0s - loss: 2.9951e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.6739e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 7.7364e-10 42/229 [====>.........................] - ETA: 0s - loss: 3.7092e-06 80/229 [=========>....................] - ETA: 0s - loss: 4.1643e-06 118/229 [==============>...............] - ETA: 0s - loss: 2.9299e-06 155/229 [===================>..........] - ETA: 0s - loss: 2.5214e-06 196/229 [========================>.....] - ETA: 0s - loss: 2.5447e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.5032e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 1, 16 LR f1 score: 0.970 LR cohens kappa score: 0.969 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 35s - loss: 2.3698e-05 42/229 [====>.........................] - ETA: 0s - loss: 2.4431e-04  84/229 [==========>...................] - ETA: 0s - loss: 0.0023  125/229 [===============>..............] - ETA: 0s - loss: 0.0016 163/229 [====================>.........] - ETA: 0s - loss: 0.0012 203/229 [=========================>....] - ETA: 0s - loss: 0.0012 229/229 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 2.9136e-10 41/229 [====>.........................] - ETA: 0s - loss: 6.1585e-06 80/229 [=========>....................] - ETA: 0s - loss: 6.0525e-05 121/229 [==============>...............] - ETA: 0s - loss: 4.3142e-05 162/229 [====================>.........] - ETA: 0s - loss: 3.5291e-05 202/229 [=========================>....] - ETA: 0s - loss: 2.8365e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.5126e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 6.0119e-10 42/229 [====>.........................] - ETA: 0s - loss: 2.2496e-07 84/229 [==========>...................] - ETA: 0s - loss: 2.7168e-07 125/229 [===============>..............] - ETA: 0s - loss: 2.7880e-06 166/229 [====================>.........] - ETA: 0s - loss: 8.9672e-06 207/229 [==========================>...] - ETA: 0s - loss: 8.7385e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.9328e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 2.4333e-10 42/229 [====>.........................] - ETA: 0s - loss: 1.3093e-05 82/229 [=========>....................] - ETA: 0s - loss: 8.4542e-06 123/229 [===============>..............] - ETA: 0s - loss: 7.8797e-06 164/229 [====================>.........] - ETA: 0s - loss: 7.6452e-06 203/229 [=========================>....] - ETA: 0s - loss: 7.0600e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.8987e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.6982e-09 42/229 [====>.........................] - ETA: 0s - loss: 1.2696e-08 83/229 [=========>....................] - ETA: 0s - loss: 5.9315e-06 123/229 [===============>..............] - ETA: 0s - loss: 4.5785e-06 164/229 [====================>.........] - ETA: 0s - loss: 7.2126e-06 201/229 [=========================>....] - ETA: 0s - loss: 6.2783e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.1256e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 6.9002e-10 40/229 [====>.........................] - ETA: 0s - loss: 1.5812e-05 78/229 [=========>....................] - ETA: 0s - loss: 1.0058e-05 119/229 [==============>...............] - ETA: 0s - loss: 6.7402e-06 158/229 [===================>..........] - ETA: 0s - loss: 5.1591e-06 198/229 [========================>.....] - ETA: 0s - loss: 5.0948e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.3283e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 1.4532e-10 42/229 [====>.........................] - ETA: 0s - loss: 1.8883e-06 84/229 [==========>...................] - ETA: 0s - loss: 4.1296e-06 124/229 [===============>..............] - ETA: 0s - loss: 2.9230e-06 165/229 [====================>.........] - ETA: 0s - loss: 5.4096e-06 205/229 [=========================>....] - ETA: 0s - loss: 5.3027e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.7998e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 4.0758e-05 40/229 [====>.........................] - ETA: 0s - loss: 1.7330e-06 81/229 [=========>....................] - ETA: 0s - loss: 3.0869e-06 121/229 [==============>...............] - ETA: 0s - loss: 2.9188e-06 159/229 [===================>..........] - ETA: 0s - loss: 3.2613e-06 200/229 [=========================>....] - ETA: 0s - loss: 4.8431e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.2565e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.3493e-09 41/229 [====>.........................] - ETA: 0s - loss: 7.2604e-06 78/229 [=========>....................] - ETA: 0s - loss: 3.9296e-06 116/229 [==============>...............] - ETA: 0s - loss: 3.1303e-06 157/229 [===================>..........] - ETA: 0s - loss: 2.5529e-06 197/229 [========================>.....] - ETA: 0s - loss: 2.8890e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.8226e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 2.3916e-10 42/229 [====>.........................] - ETA: 0s - loss: 1.2512e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.3171e-06 124/229 [===============>..............] - ETA: 0s - loss: 2.6949e-06 165/229 [====================>.........] - ETA: 0s - loss: 2.8505e-06 205/229 [=========================>....] - ETA: 0s - loss: 3.7390e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.4263e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 570, 1 LR fn, tp: 2, 15 LR f1 score: 0.909 LR cohens kappa score: 0.906 LR average precision score: 0.979 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 2, 15 RF f1 score: 0.938 RF cohens kappa score: 0.936 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 2, 15 GB f1 score: 0.938 GB cohens kappa score: 0.936 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 44s - loss: 6.8135e-07 42/229 [====>.........................] - ETA: 0s - loss: 0.0030  83/229 [=========>....................] - ETA: 0s - loss: 0.0016 122/229 [==============>...............] - ETA: 0s - loss: 0.0011 161/229 [====================>.........] - ETA: 0s - loss: 8.4592e-04 202/229 [=========================>....] - ETA: 0s - loss: 6.9390e-04 229/229 [==============================] - 0s 1ms/step - loss: 6.1403e-04 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 4.4917e-10 42/229 [====>.........................] - ETA: 0s - loss: 3.7241e-06 83/229 [=========>....................] - ETA: 0s - loss: 8.5075e-04 123/229 [===============>..............] - ETA: 0s - loss: 8.0033e-04 163/229 [====================>.........] - ETA: 0s - loss: 6.1183e-04 200/229 [=========================>....] - ETA: 0s - loss: 4.9883e-04 229/229 [==============================] - 0s 1ms/step - loss: 4.3891e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 4.0766e-09 35/229 [===>..........................] - ETA: 0s - loss: 4.1412e-07 70/229 [========>.....................] - ETA: 0s - loss: 3.2017e-07 111/229 [=============>................] - ETA: 0s - loss: 9.1961e-06 151/229 [==================>...........] - ETA: 0s - loss: 7.0273e-06 192/229 [========================>.....] - ETA: 0s - loss: 7.9862e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.3927e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 3.4305e-06 42/229 [====>.........................] - ETA: 0s - loss: 4.2999e-06 83/229 [=========>....................] - ETA: 0s - loss: 2.6212e-06 122/229 [==============>...............] - ETA: 0s - loss: 1.9600e-06 162/229 [====================>.........] - ETA: 0s - loss: 1.5523e-06 202/229 [=========================>....] - ETA: 0s - loss: 1.5159e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.3808e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 4.7506e-08 41/229 [====>.........................] - ETA: 0s - loss: 9.4166e-06 80/229 [=========>....................] - ETA: 0s - loss: 5.5300e-06 119/229 [==============>...............] - ETA: 0s - loss: 4.8303e-06 154/229 [===================>..........] - ETA: 0s - loss: 3.7353e-06 195/229 [========================>.....] - ETA: 0s - loss: 3.0157e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.6392e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 4.5158e-08 42/229 [====>.........................] - ETA: 0s - loss: 1.4440e-05 81/229 [=========>....................] - ETA: 0s - loss: 7.8612e-06 122/229 [==============>...............] - ETA: 0s - loss: 5.8708e-06 163/229 [====================>.........] - ETA: 0s - loss: 4.4077e-06 204/229 [=========================>....] - ETA: 0s - loss: 5.3006e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.0140e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 3.0672e-10 42/229 [====>.........................] - ETA: 0s - loss: 5.6118e-06 83/229 [=========>....................] - ETA: 0s - loss: 9.3956e-06 123/229 [===============>..............] - ETA: 0s - loss: 6.7909e-06 165/229 [====================>.........] - ETA: 0s - loss: 5.9101e-06 203/229 [=========================>....] - ETA: 0s - loss: 4.9676e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.4831e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 8.0931e-09 40/229 [====>.........................] - ETA: 0s - loss: 1.5040e-07 82/229 [=========>....................] - ETA: 0s - loss: 6.1757e-06 122/229 [==============>...............] - ETA: 0s - loss: 4.3349e-06 160/229 [===================>..........] - ETA: 0s - loss: 4.6714e-06 200/229 [=========================>....] - ETA: 0s - loss: 4.2121e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.0389e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 5.6657e-10 41/229 [====>.........................] - ETA: 0s - loss: 5.6607e-07 82/229 [=========>....................] - ETA: 0s - loss: 1.2184e-06 123/229 [===============>..............] - ETA: 0s - loss: 9.2635e-07 163/229 [====================>.........] - ETA: 0s - loss: 8.0549e-07 198/229 [========================>.....] - ETA: 0s - loss: 7.6119e-07 229/229 [==============================] - 0s 1ms/step - loss: 3.5821e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 1.6451e-09 40/229 [====>.........................] - ETA: 0s - loss: 1.7981e-06 75/229 [========>.....................] - ETA: 0s - loss: 2.2386e-06 112/229 [=============>................] - ETA: 0s - loss: 4.5060e-06 148/229 [==================>...........] - ETA: 0s - loss: 4.6544e-06 187/229 [=======================>......] - ETA: 0s - loss: 3.9857e-06 227/229 [============================>.] - ETA: 0s - loss: 3.3196e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.3007e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 2, 15 KNN f1 score: 0.909 KNN cohens kappa score: 0.906 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2216 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 36s - loss: 6.9554e-10 43/229 [====>.........................] - ETA: 0s - loss: 0.0089  81/229 [=========>....................] - ETA: 0s - loss: 0.0048 122/229 [==============>...............] - ETA: 0s - loss: 0.0033 163/229 [====================>.........] - ETA: 0s - loss: 0.0025 197/229 [========================>.....] - ETA: 0s - loss: 0.0021 229/229 [==============================] - 0s 1ms/step - loss: 0.0018 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 2.7546e-08 42/229 [====>.........................] - ETA: 0s - loss: 8.8778e-06 83/229 [=========>....................] - ETA: 0s - loss: 2.7080e-05 122/229 [==============>...............] - ETA: 0s - loss: 3.9457e-05 164/229 [====================>.........] - ETA: 0s - loss: 6.4397e-05 205/229 [=========================>....] - ETA: 0s - loss: 5.9262e-05 229/229 [==============================] - 0s 1ms/step - loss: 6.2648e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 3.4997e-10 42/229 [====>.........................] - ETA: 0s - loss: 2.8970e-05 84/229 [==========>...................] - ETA: 0s - loss: 2.8479e-05 124/229 [===============>..............] - ETA: 0s - loss: 2.2738e-05 163/229 [====================>.........] - ETA: 0s - loss: 3.3888e-05 203/229 [=========================>....] - ETA: 0s - loss: 4.4420e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.9586e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 4.2913e-08 39/229 [====>.........................] - ETA: 0s - loss: 2.7173e-05 82/229 [=========>....................] - ETA: 0s - loss: 2.6369e-05 126/229 [===============>..............] - ETA: 0s - loss: 3.1692e-05 168/229 [=====================>........] - ETA: 0s - loss: 3.7836e-05 209/229 [==========================>...] - ETA: 0s - loss: 3.3010e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.0560e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.4306e-09 40/229 [====>.........................] - ETA: 0s - loss: 1.0419e-05 81/229 [=========>....................] - ETA: 0s - loss: 2.7565e-05 122/229 [==============>...............] - ETA: 0s - loss: 2.6128e-05 163/229 [====================>.........] - ETA: 0s - loss: 2.1684e-05 204/229 [=========================>....] - ETA: 0s - loss: 1.9700e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.6970e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.6074e-10 42/229 [====>.........................] - ETA: 0s - loss: 3.5766e-05 83/229 [=========>....................] - ETA: 0s - loss: 2.2327e-05 127/229 [===============>..............] - ETA: 0s - loss: 1.8229e-05 169/229 [=====================>........] - ETA: 0s - loss: 1.8883e-05 207/229 [==========================>...] - ETA: 0s - loss: 2.1730e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.2135e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 2.6221e-10 42/229 [====>.........................] - ETA: 0s - loss: 1.5197e-06 82/229 [=========>....................] - ETA: 0s - loss: 1.7285e-05 115/229 [==============>...............] - ETA: 0s - loss: 2.1575e-05 146/229 [==================>...........] - ETA: 0s - loss: 2.1637e-05 181/229 [======================>.......] - ETA: 0s - loss: 1.8329e-05 219/229 [===========================>..] - ETA: 0s - loss: 1.7522e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.8582e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 3.7431e-04 40/229 [====>.........................] - ETA: 0s - loss: 1.8548e-05 79/229 [=========>....................] - ETA: 0s - loss: 1.2176e-05 119/229 [==============>...............] - ETA: 0s - loss: 1.0744e-05 158/229 [===================>..........] - ETA: 0s - loss: 1.6657e-05 200/229 [=========================>....] - ETA: 0s - loss: 1.7888e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.6283e-05 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 4.4892e-10 38/229 [===>..........................] - ETA: 0s - loss: 1.3353e-05 79/229 [=========>....................] - ETA: 0s - loss: 1.3732e-05 119/229 [==============>...............] - ETA: 0s - loss: 1.0321e-05 160/229 [===================>..........] - ETA: 0s - loss: 1.5481e-05 199/229 [=========================>....] - ETA: 0s - loss: 1.4898e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.3705e-05 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 1.5276e-10 41/229 [====>.........................] - ETA: 0s - loss: 7.6637e-06 80/229 [=========>....................] - ETA: 0s - loss: 9.2216e-06 121/229 [==============>...............] - ETA: 0s - loss: 9.8038e-06 161/229 [====================>.........] - ETA: 0s - loss: 1.2409e-05 201/229 [=========================>....] - ETA: 0s - loss: 1.1747e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.2140e-05 -> test with GAN.predict GAN tn, fp: 570, 0 GAN fn, tp: 0, 13 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 570, 0 LR fn, tp: 0, 13 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 570, 0 RF fn, tp: 0, 13 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 570, 0 GB fn, tp: 0, 13 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 569, 1 KNN fn, tp: 0, 13 KNN f1 score: 0.963 KNN cohens kappa score: 0.962 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 36s - loss: 2.9563e-06 43/229 [====>.........................] - ETA: 0s - loss: 0.0089  80/229 [=========>....................] - ETA: 0s - loss: 0.0052 115/229 [==============>...............] - ETA: 0s - loss: 0.0036 150/229 [==================>...........] - ETA: 0s - loss: 0.0028 191/229 [========================>.....] - ETA: 0s - loss: 0.0022 229/229 [==============================] - 0s 1ms/step - loss: 0.0018 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 2.7676e-10 42/229 [====>.........................] - ETA: 0s - loss: 2.4058e-06 84/229 [==========>...................] - ETA: 0s - loss: 1.3611e-06 125/229 [===============>..............] - ETA: 0s - loss: 5.8858e-06 166/229 [====================>.........] - ETA: 0s - loss: 6.4801e-06 207/229 [==========================>...] - ETA: 0s - loss: 6.4355e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.0397e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 3.4614e-10 43/229 [====>.........................] - ETA: 0s - loss: 1.3393e-05 85/229 [==========>...................] - ETA: 0s - loss: 1.7590e-05 127/229 [===============>..............] - ETA: 0s - loss: 1.4725e-05 169/229 [=====================>........] - ETA: 0s - loss: 1.1482e-05 210/229 [==========================>...] - ETA: 0s - loss: 9.8367e-06 229/229 [==============================] - 0s 1ms/step - loss: 9.0755e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 2.6788e-10 43/229 [====>.........................] - ETA: 0s - loss: 1.6398e-06 85/229 [==========>...................] - ETA: 0s - loss: 1.0597e-05 127/229 [===============>..............] - ETA: 0s - loss: 1.1011e-05 169/229 [=====================>........] - ETA: 0s - loss: 8.4602e-06 211/229 [==========================>...] - ETA: 0s - loss: 8.2852e-06 229/229 [==============================] - 0s 1ms/step - loss: 8.1102e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 4.6578e-08 42/229 [====>.........................] - ETA: 0s - loss: 1.3362e-05 82/229 [=========>....................] - ETA: 0s - loss: 1.0714e-05 120/229 [==============>...............] - ETA: 0s - loss: 1.1085e-05 158/229 [===================>..........] - ETA: 0s - loss: 9.0966e-06 199/229 [=========================>....] - ETA: 0s - loss: 7.4202e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.4138e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.6874e-10 41/229 [====>.........................] - ETA: 0s - loss: 5.1227e-06 81/229 [=========>....................] - ETA: 0s - loss: 3.0336e-06 123/229 [===============>..............] - ETA: 0s - loss: 3.6412e-06 163/229 [====================>.........] - ETA: 0s - loss: 6.8845e-06 205/229 [=========================>....] - ETA: 0s - loss: 6.9101e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.7204e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 2.7585e-10 41/229 [====>.........................] - ETA: 0s - loss: 3.2754e-06 83/229 [=========>....................] - ETA: 0s - loss: 2.4761e-06 122/229 [==============>...............] - ETA: 0s - loss: 4.6082e-06 160/229 [===================>..........] - ETA: 0s - loss: 5.0033e-06 200/229 [=========================>....] - ETA: 0s - loss: 7.0685e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.2800e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.8878e-10 42/229 [====>.........................] - ETA: 0s - loss: 6.9511e-06 83/229 [=========>....................] - ETA: 0s - loss: 7.5444e-06 124/229 [===============>..............] - ETA: 0s - loss: 6.3077e-06 163/229 [====================>.........] - ETA: 0s - loss: 5.3396e-06 199/229 [=========================>....] - ETA: 0s - loss: 6.4240e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.6735e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 2.0141e-10 38/229 [===>..........................] - ETA: 0s - loss: 7.7291e-06 79/229 [=========>....................] - ETA: 0s - loss: 3.8815e-06 118/229 [==============>...............] - ETA: 0s - loss: 4.2564e-06 158/229 [===================>..........] - ETA: 0s - loss: 3.6931e-06 198/229 [========================>.....] - ETA: 0s - loss: 5.4418e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.2687e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 2.9433e-10 43/229 [====>.........................] - ETA: 0s - loss: 3.2089e-07 87/229 [==========>...................] - ETA: 0s - loss: 2.5616e-06 127/229 [===============>..............] - ETA: 0s - loss: 1.8899e-06 167/229 [====================>.........] - ETA: 0s - loss: 4.3171e-06 207/229 [==========================>...] - ETA: 0s - loss: 4.7339e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.9281e-06 -> test with GAN.predict GAN tn, fp: 570, 1 GAN fn, tp: 0, 17 GAN f1 score: 0.971 GAN cohens kappa score: 0.971 -> test with 'LR' LR tn, fp: 570, 1 LR fn, tp: 0, 17 LR f1 score: 0.971 LR cohens kappa score: 0.971 LR average precision score: 0.993 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 37s - loss: 4.5342e-10 42/229 [====>.........................] - ETA: 0s - loss: 0.0103  83/229 [=========>....................] - ETA: 0s - loss: 0.0052 125/229 [===============>..............] - ETA: 0s - loss: 0.0036 166/229 [====================>.........] - ETA: 0s - loss: 0.0027 207/229 [==========================>...] - ETA: 0s - loss: 0.0022 229/229 [==============================] - 0s 1ms/step - loss: 0.0020 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 3.6541e-11 43/229 [====>.........................] - ETA: 0s - loss: 4.9765e-07 85/229 [==========>...................] - ETA: 0s - loss: 1.8467e-05 118/229 [==============>...............] - ETA: 0s - loss: 1.4308e-05 153/229 [===================>..........] - ETA: 0s - loss: 1.3274e-05 187/229 [=======================>......] - ETA: 0s - loss: 1.3362e-05 224/229 [============================>.] - ETA: 0s - loss: 1.3510e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.3301e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 1.9287e-11 42/229 [====>.........................] - ETA: 0s - loss: 6.4354e-06 81/229 [=========>....................] - ETA: 0s - loss: 6.7805e-06 122/229 [==============>...............] - ETA: 0s - loss: 4.8372e-06 163/229 [====================>.........] - ETA: 0s - loss: 5.7874e-06 203/229 [=========================>....] - ETA: 0s - loss: 8.6520e-06 229/229 [==============================] - 0s 1ms/step - loss: 8.8640e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 9.0867e-11 42/229 [====>.........................] - ETA: 0s - loss: 4.1242e-06 76/229 [========>.....................] - ETA: 0s - loss: 6.3202e-06 111/229 [=============>................] - ETA: 0s - loss: 4.4664e-06 147/229 [==================>...........] - ETA: 0s - loss: 6.3376e-06 187/229 [=======================>......] - ETA: 0s - loss: 6.9674e-06 229/229 [==============================] - ETA: 0s - loss: 7.2905e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.2905e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 2.1983e-11 42/229 [====>.........................] - ETA: 0s - loss: 6.2961e-06 80/229 [=========>....................] - ETA: 0s - loss: 7.3791e-06 121/229 [==============>...............] - ETA: 0s - loss: 6.4875e-06 163/229 [====================>.........] - ETA: 0s - loss: 6.2403e-06 203/229 [=========================>....] - ETA: 0s - loss: 6.2773e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.3159e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.9215e-11 37/229 [===>..........................] - ETA: 0s - loss: 5.0487e-06 75/229 [========>.....................] - ETA: 0s - loss: 9.1328e-06 115/229 [==============>...............] - ETA: 0s - loss: 7.4712e-06 156/229 [===================>..........] - ETA: 0s - loss: 7.6756e-06 197/229 [========================>.....] - ETA: 0s - loss: 6.3057e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.5681e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 1.2099e-11 42/229 [====>.........................] - ETA: 0s - loss: 6.0561e-06 82/229 [=========>....................] - ETA: 0s - loss: 7.8706e-06 122/229 [==============>...............] - ETA: 0s - loss: 5.8030e-06 162/229 [====================>.........] - ETA: 0s - loss: 4.7142e-06 204/229 [=========================>....] - ETA: 0s - loss: 5.4327e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.9698e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 6.0081e-06 42/229 [====>.........................] - ETA: 0s - loss: 2.3155e-06 84/229 [==========>...................] - ETA: 0s - loss: 1.6107e-06 126/229 [===============>..............] - ETA: 0s - loss: 5.0111e-06 168/229 [=====================>........] - ETA: 0s - loss: 4.0942e-06 209/229 [==========================>...] - ETA: 0s - loss: 3.7246e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.5390e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.6204e-11 42/229 [====>.........................] - ETA: 0s - loss: 1.0096e-05 84/229 [==========>...................] - ETA: 0s - loss: 6.3862e-06 125/229 [===============>..............] - ETA: 0s - loss: 4.3156e-06 164/229 [====================>.........] - ETA: 0s - loss: 3.6512e-06 206/229 [=========================>....] - ETA: 0s - loss: 4.0505e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.1178e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 2.2700e-07 41/229 [====>.........................] - ETA: 0s - loss: 6.1437e-06 82/229 [=========>....................] - ETA: 0s - loss: 4.7521e-06 123/229 [===============>..............] - ETA: 0s - loss: 4.4144e-06 163/229 [====================>.........] - ETA: 0s - loss: 4.1091e-06 199/229 [=========================>....] - ETA: 0s - loss: 4.0056e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.7805e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 1, 16 LR f1 score: 0.970 LR cohens kappa score: 0.969 LR average precision score: 0.994 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 1, 16 RF f1 score: 0.970 RF cohens kappa score: 0.969 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 569, 2 KNN fn, tp: 1, 16 KNN f1 score: 0.914 KNN cohens kappa score: 0.912 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 37s - loss: 7.9060e-09 43/229 [====>.........................] - ETA: 0s - loss: 0.0011  85/229 [==========>...................] - ETA: 0s - loss: 6.5159e-04 127/229 [===============>..............] - ETA: 0s - loss: 4.4240e-04 169/229 [=====================>........] - ETA: 0s - loss: 4.1643e-04 211/229 [==========================>...] - ETA: 0s - loss: 3.3452e-04 229/229 [==============================] - 0s 1ms/step - loss: 7.1445e-04 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 4.0173e-08 42/229 [====>.........................] - ETA: 0s - loss: 0.0015  83/229 [=========>....................] - ETA: 0s - loss: 8.0226e-04 124/229 [===============>..............] - ETA: 0s - loss: 5.3839e-04 165/229 [====================>.........] - ETA: 0s - loss: 4.0734e-04 204/229 [=========================>....] - ETA: 0s - loss: 3.3006e-04 229/229 [==============================] - 0s 1ms/step - loss: 2.9560e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 2.3743e-09 42/229 [====>.........................] - ETA: 0s - loss: 5.2662e-06 84/229 [==========>...................] - ETA: 0s - loss: 3.9829e-06 125/229 [===============>..............] - ETA: 0s - loss: 1.2393e-05 166/229 [====================>.........] - ETA: 0s - loss: 1.0109e-05 208/229 [==========================>...] - ETA: 0s - loss: 1.0399e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.0275e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 4.4583e-09 43/229 [====>.........................] - ETA: 0s - loss: 1.2129e-05 84/229 [==========>...................] - ETA: 0s - loss: 8.7166e-06 124/229 [===============>..............] - ETA: 0s - loss: 7.1283e-06 165/229 [====================>.........] - ETA: 0s - loss: 1.0158e-05 207/229 [==========================>...] - ETA: 0s - loss: 8.5973e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.8752e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 3.1963e-09 42/229 [====>.........................] - ETA: 0s - loss: 5.8347e-07 84/229 [==========>...................] - ETA: 0s - loss: 6.8668e-06 125/229 [===============>..............] - ETA: 0s - loss: 7.6812e-06 167/229 [====================>.........] - ETA: 0s - loss: 6.4002e-06 203/229 [=========================>....] - ETA: 0s - loss: 6.3456e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.7237e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.3172e-05 41/229 [====>.........................] - ETA: 0s - loss: 2.9194e-06 82/229 [=========>....................] - ETA: 0s - loss: 4.7642e-06 123/229 [===============>..............] - ETA: 0s - loss: 5.7624e-06 162/229 [====================>.........] - ETA: 0s - loss: 5.0584e-06 193/229 [========================>.....] - ETA: 0s - loss: 6.5181e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.8697e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 5.9745e-08 41/229 [====>.........................] - ETA: 0s - loss: 1.4471e-06 81/229 [=========>....................] - ETA: 0s - loss: 4.3140e-06 122/229 [==============>...............] - ETA: 0s - loss: 5.4538e-06 164/229 [====================>.........] - ETA: 0s - loss: 6.4077e-06 205/229 [=========================>....] - ETA: 0s - loss: 5.6059e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.3075e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 6.3849e-06 42/229 [====>.........................] - ETA: 0s - loss: 7.3962e-06 83/229 [=========>....................] - ETA: 0s - loss: 6.4865e-06 124/229 [===============>..............] - ETA: 0s - loss: 6.3739e-06 165/229 [====================>.........] - ETA: 0s - loss: 5.2951e-06 204/229 [=========================>....] - ETA: 0s - loss: 5.0056e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.8367e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.0588e-09 42/229 [====>.........................] - ETA: 0s - loss: 7.7258e-06 82/229 [=========>....................] - ETA: 0s - loss: 5.7341e-06 124/229 [===============>..............] - ETA: 0s - loss: 6.0441e-06 166/229 [====================>.........] - ETA: 0s - loss: 5.5654e-06 207/229 [==========================>...] - ETA: 0s - loss: 4.9182e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.5298e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 4.3785e-08 42/229 [====>.........................] - ETA: 0s - loss: 4.2264e-07 84/229 [==========>...................] - ETA: 0s - loss: 3.2428e-06 125/229 [===============>..............] - ETA: 0s - loss: 4.2105e-06 167/229 [====================>.........] - ETA: 0s - loss: 4.2739e-06 208/229 [==========================>...] - ETA: 0s - loss: 3.6171e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.1509e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 49s - loss: 3.3067e-09 38/229 [===>..........................] - ETA: 0s - loss: 4.2502e-05  79/229 [=========>....................] - ETA: 0s - loss: 6.7616e-05 119/229 [==============>...............] - ETA: 0s - loss: 9.5605e-05 160/229 [===================>..........] - ETA: 0s - loss: 7.2773e-05 200/229 [=========================>....] - ETA: 0s - loss: 5.8410e-05 229/229 [==============================] - 1s 1ms/step - loss: 5.3707e-05 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 2.6968e-09 41/229 [====>.........................] - ETA: 0s - loss: 6.7134e-07 75/229 [========>.....................] - ETA: 0s - loss: 1.8613e-06 109/229 [=============>................] - ETA: 0s - loss: 2.9615e-06 144/229 [=================>............] - ETA: 0s - loss: 3.2184e-06 185/229 [=======================>......] - ETA: 0s - loss: 2.5978e-06 224/229 [============================>.] - ETA: 0s - loss: 2.2143e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.1726e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 1.9868e-06 42/229 [====>.........................] - ETA: 0s - loss: 3.3083e-06 82/229 [=========>....................] - ETA: 0s - loss: 1.7780e-06 122/229 [==============>...............] - ETA: 0s - loss: 2.0268e-06 162/229 [====================>.........] - ETA: 0s - loss: 1.6061e-06 203/229 [=========================>....] - ETA: 0s - loss: 1.3487e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.9094e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 2.9413e-06 40/229 [====>.........................] - ETA: 0s - loss: 1.9392e-06 81/229 [=========>....................] - ETA: 0s - loss: 2.2816e-06 122/229 [==============>...............] - ETA: 0s - loss: 2.2037e-06 162/229 [====================>.........] - ETA: 0s - loss: 1.7956e-06 203/229 [=========================>....] - ETA: 0s - loss: 1.5807e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.7235e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.2552e-09 40/229 [====>.........................] - ETA: 0s - loss: 2.5596e-06 82/229 [=========>....................] - ETA: 0s - loss: 2.0093e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.5164e-06 164/229 [====================>.........] - ETA: 0s - loss: 1.2404e-06 205/229 [=========================>....] - ETA: 0s - loss: 1.1770e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.5694e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.1466e-08 42/229 [====>.........................] - ETA: 0s - loss: 4.0253e-07 84/229 [==========>...................] - ETA: 0s - loss: 2.4805e-07 125/229 [===============>..............] - ETA: 0s - loss: 1.1080e-06 166/229 [====================>.........] - ETA: 0s - loss: 1.3635e-06 203/229 [=========================>....] - ETA: 0s - loss: 1.4635e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.4565e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 1.9189e-09 40/229 [====>.........................] - ETA: 0s - loss: 1.0153e-06 78/229 [=========>....................] - ETA: 0s - loss: 1.6311e-06 116/229 [==============>...............] - ETA: 0s - loss: 1.8279e-06 156/229 [===================>..........] - ETA: 0s - loss: 1.4615e-06 198/229 [========================>.....] - ETA: 0s - loss: 1.4147e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.3214e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.9008e-09 43/229 [====>.........................] - ETA: 0s - loss: 4.8732e-07 83/229 [=========>....................] - ETA: 0s - loss: 1.5972e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.2224e-06 163/229 [====================>.........] - ETA: 0s - loss: 1.7802e-06 200/229 [=========================>....] - ETA: 0s - loss: 1.4548e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.2896e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.4904e-07 41/229 [====>.........................] - ETA: 0s - loss: 1.4140e-06 81/229 [=========>....................] - ETA: 0s - loss: 1.9482e-06 121/229 [==============>...............] - ETA: 0s - loss: 1.7801e-06 155/229 [===================>..........] - ETA: 0s - loss: 1.5186e-06 189/229 [=======================>......] - ETA: 0s - loss: 1.3132e-06 226/229 [============================>.] - ETA: 0s - loss: 1.1511e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.1442e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 4.2205e-10 42/229 [====>.........................] - ETA: 0s - loss: 2.2215e-06 82/229 [=========>....................] - ETA: 0s - loss: 1.6421e-06 122/229 [==============>...............] - ETA: 0s - loss: 1.1791e-06 160/229 [===================>..........] - ETA: 0s - loss: 1.0385e-06 199/229 [=========================>....] - ETA: 0s - loss: 1.0888e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.0402e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 571, 0 KNN fn, tp: 1, 16 KNN f1 score: 0.970 KNN cohens kappa score: 0.969 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2216 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 37s - loss: 5.8008e-11 42/229 [====>.........................] - ETA: 0s - loss: 8.4073e-04  84/229 [==========>...................] - ETA: 0s - loss: 0.0024  126/229 [===============>..............] - ETA: 0s - loss: 0.0018 166/229 [====================>.........] - ETA: 0s - loss: 0.0014 208/229 [==========================>...] - ETA: 0s - loss: 0.0012 229/229 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 1.1989e-11 41/229 [====>.........................] - ETA: 0s - loss: 2.6054e-06 82/229 [=========>....................] - ETA: 0s - loss: 2.4138e-04 123/229 [===============>..............] - ETA: 0s - loss: 1.6301e-04 164/229 [====================>.........] - ETA: 0s - loss: 0.0011  202/229 [=========================>....] - ETA: 0s - loss: 8.7783e-04 229/229 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 2.2148e-11 36/229 [===>..........................] - ETA: 0s - loss: 1.7288e-04 73/229 [========>.....................] - ETA: 0s - loss: 8.6123e-05 115/229 [==============>...............] - ETA: 0s - loss: 5.6693e-05 154/229 [===================>..........] - ETA: 0s - loss: 9.3816e-05 196/229 [========================>.....] - ETA: 0s - loss: 7.4199e-05 229/229 [==============================] - 0s 1ms/step - loss: 6.4171e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 6.0523e-05 43/229 [====>.........................] - ETA: 0s - loss: 1.1515e-05 84/229 [==========>...................] - ETA: 0s - loss: 7.2135e-06 125/229 [===============>..............] - ETA: 0s - loss: 2.8912e-05 165/229 [====================>.........] - ETA: 0s - loss: 2.2419e-05 206/229 [=========================>....] - ETA: 0s - loss: 2.3810e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.2781e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 6.4743e-12 41/229 [====>.........................] - ETA: 0s - loss: 1.0967e-05 74/229 [========>.....................] - ETA: 0s - loss: 6.4170e-06 115/229 [==============>...............] - ETA: 0s - loss: 4.6924e-06 154/229 [===================>..........] - ETA: 0s - loss: 1.1811e-05 195/229 [========================>.....] - ETA: 0s - loss: 1.5837e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.4158e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 4.4361e-10 40/229 [====>.........................] - ETA: 0s - loss: 2.2045e-06 82/229 [=========>....................] - ETA: 0s - loss: 1.2846e-05 123/229 [===============>..............] - ETA: 0s - loss: 1.0259e-05 161/229 [====================>.........] - ETA: 0s - loss: 1.3878e-05 199/229 [=========================>....] - ETA: 0s - loss: 1.1728e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.2052e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 1.4286e-11 43/229 [====>.........................] - ETA: 0s - loss: 3.0021e-06 84/229 [==========>...................] - ETA: 0s - loss: 1.2962e-05 125/229 [===============>..............] - ETA: 0s - loss: 1.6052e-05 167/229 [====================>.........] - ETA: 0s - loss: 1.3291e-05 209/229 [==========================>...] - ETA: 0s - loss: 1.1357e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.0425e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.0244e-11 43/229 [====>.........................] - ETA: 0s - loss: 3.3957e-06 84/229 [==========>...................] - ETA: 0s - loss: 1.0389e-05 124/229 [===============>..............] - ETA: 0s - loss: 1.4826e-05 164/229 [====================>.........] - ETA: 0s - loss: 1.1554e-05 205/229 [=========================>....] - ETA: 0s - loss: 9.6297e-06 229/229 [==============================] - 0s 1ms/step - loss: 9.1482e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 2.2029e-12 42/229 [====>.........................] - ETA: 0s - loss: 5.7963e-06 83/229 [=========>....................] - ETA: 0s - loss: 4.2501e-06 124/229 [===============>..............] - ETA: 0s - loss: 6.1488e-06 166/229 [====================>.........] - ETA: 0s - loss: 1.0718e-05 207/229 [==========================>...] - ETA: 0s - loss: 9.5253e-06 229/229 [==============================] - 0s 1ms/step - loss: 8.6693e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 9.1638e-11 42/229 [====>.........................] - ETA: 0s - loss: 3.6978e-06 74/229 [========>.....................] - ETA: 0s - loss: 1.1267e-05 109/229 [=============>................] - ETA: 0s - loss: 8.8699e-06 145/229 [=================>............] - ETA: 0s - loss: 9.2793e-06 186/229 [=======================>......] - ETA: 0s - loss: 8.9811e-06 227/229 [============================>.] - ETA: 0s - loss: 7.6053e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.5750e-06 -> test with GAN.predict GAN tn, fp: 570, 0 GAN fn, tp: 0, 13 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 569, 1 LR fn, tp: 2, 11 LR f1 score: 0.880 LR cohens kappa score: 0.877 LR average precision score: 0.973 -> test with 'RF' RF tn, fp: 570, 0 RF fn, tp: 0, 13 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 570, 0 GB fn, tp: 0, 13 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 0 KNN fn, tp: 0, 13 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 46s - loss: 0.0110 36/229 [===>..........................] - ETA: 0s - loss: 4.8704e-04 77/229 [=========>....................] - ETA: 0s - loss: 2.2775e-04 118/229 [==============>...............] - ETA: 0s - loss: 0.0034  159/229 [===================>..........] - ETA: 0s - loss: 0.0041 200/229 [=========================>....] - ETA: 0s - loss: 0.0033 229/229 [==============================] - 0s 1ms/step - loss: 0.0029 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 8.7027e-08 42/229 [====>.........................] - ETA: 0s - loss: 3.1231e-07 82/229 [=========>....................] - ETA: 0s - loss: 2.8388e-07 122/229 [==============>...............] - ETA: 0s - loss: 1.0689e-06 163/229 [====================>.........] - ETA: 0s - loss: 2.4725e-06 203/229 [=========================>....] - ETA: 0s - loss: 2.4089e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.6368e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 4.3339e-08 43/229 [====>.........................] - ETA: 0s - loss: 1.2762e-05 83/229 [=========>....................] - ETA: 0s - loss: 1.2059e-05 122/229 [==============>...............] - ETA: 0s - loss: 8.4137e-06 160/229 [===================>..........] - ETA: 0s - loss: 6.6226e-06 201/229 [=========================>....] - ETA: 0s - loss: 5.4872e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.9912e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 5.0895e-10 40/229 [====>.........................] - ETA: 0s - loss: 1.4100e-05 80/229 [=========>....................] - ETA: 0s - loss: 7.3139e-06 120/229 [==============>...............] - ETA: 0s - loss: 5.5752e-06 161/229 [====================>.........] - ETA: 0s - loss: 4.2325e-06 203/229 [=========================>....] - ETA: 0s - loss: 4.9330e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.5790e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.1467e-09 42/229 [====>.........................] - ETA: 0s - loss: 9.3103e-07 82/229 [=========>....................] - ETA: 0s - loss: 8.1399e-07 122/229 [==============>...............] - ETA: 0s - loss: 1.0280e-06 163/229 [====================>.........] - ETA: 0s - loss: 9.4952e-07 205/229 [=========================>....] - ETA: 0s - loss: 1.9517e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.0914e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.6679e-10 42/229 [====>.........................] - ETA: 0s - loss: 7.3910e-07 82/229 [=========>....................] - ETA: 0s - loss: 4.7479e-06 122/229 [==============>...............] - ETA: 0s - loss: 3.3073e-06 161/229 [====================>.........] - ETA: 0s - loss: 4.0911e-06 202/229 [=========================>....] - ETA: 0s - loss: 3.8412e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.7057e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 6.1475e-10 40/229 [====>.........................] - ETA: 0s - loss: 1.0395e-05 76/229 [========>.....................] - ETA: 0s - loss: 8.7728e-06 109/229 [=============>................] - ETA: 0s - loss: 6.1457e-06 143/229 [=================>............] - ETA: 0s - loss: 4.9388e-06 184/229 [=======================>......] - ETA: 0s - loss: 4.0382e-06 225/229 [============================>.] - ETA: 0s - loss: 3.4347e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.3948e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.1431e-09 42/229 [====>.........................] - ETA: 0s - loss: 3.1043e-07 84/229 [==========>...................] - ETA: 0s - loss: 4.3891e-06 124/229 [===============>..............] - ETA: 0s - loss: 4.8047e-06 165/229 [====================>.........] - ETA: 0s - loss: 3.8426e-06 205/229 [=========================>....] - ETA: 0s - loss: 3.3855e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.1395e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 6.3256e-10 42/229 [====>.........................] - ETA: 0s - loss: 7.4984e-06 81/229 [=========>....................] - ETA: 0s - loss: 4.3494e-06 119/229 [==============>...............] - ETA: 0s - loss: 4.4444e-06 155/229 [===================>..........] - ETA: 0s - loss: 3.6453e-06 191/229 [========================>.....] - ETA: 0s - loss: 3.3499e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.8897e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 2.2188e-06 41/229 [====>.........................] - ETA: 0s - loss: 7.3834e-07 80/229 [=========>....................] - ETA: 0s - loss: 1.8489e-06 118/229 [==============>...............] - ETA: 0s - loss: 1.7571e-06 159/229 [===================>..........] - ETA: 0s - loss: 1.6417e-06 199/229 [=========================>....] - ETA: 0s - loss: 2.9850e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.6171e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 571, 0 KNN fn, tp: 0, 17 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 46s - loss: 3.7114e-08 39/229 [====>.........................] - ETA: 0s - loss: 0.0048  79/229 [=========>....................] - ETA: 0s - loss: 0.0052 119/229 [==============>...............] - ETA: 0s - loss: 0.0035 160/229 [===================>..........] - ETA: 0s - loss: 0.0026 200/229 [=========================>....] - ETA: 0s - loss: 0.0021 229/229 [==============================] - 0s 1ms/step - loss: 0.0019 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 1.8279e-06 42/229 [====>.........................] - ETA: 0s - loss: 1.0811e-04 82/229 [=========>....................] - ETA: 0s - loss: 7.3172e-05 123/229 [===============>..............] - ETA: 0s - loss: 7.4350e-05 162/229 [====================>.........] - ETA: 0s - loss: 5.7296e-05 201/229 [=========================>....] - ETA: 0s - loss: 4.8611e-05 229/229 [==============================] - 0s 1ms/step - loss: 4.7101e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 8.1644e-08 33/229 [===>..........................] - ETA: 0s - loss: 4.1558e-05 68/229 [=======>......................] - ETA: 0s - loss: 3.3625e-05 101/229 [============>.................] - ETA: 0s - loss: 2.4960e-05 141/229 [=================>............] - ETA: 0s - loss: 2.6344e-05 182/229 [======================>.......] - ETA: 0s - loss: 2.1547e-05 222/229 [============================>.] - ETA: 0s - loss: 2.2256e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.2972e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 1.0992e-08 42/229 [====>.........................] - ETA: 0s - loss: 2.1329e-05 83/229 [=========>....................] - ETA: 0s - loss: 1.4588e-05 123/229 [===============>..............] - ETA: 0s - loss: 1.3069e-05 164/229 [====================>.........] - ETA: 0s - loss: 2.2156e-05 204/229 [=========================>....] - ETA: 0s - loss: 2.3153e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.1957e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.2074e-10 40/229 [====>.........................] - ETA: 0s - loss: 1.3471e-05 79/229 [=========>....................] - ETA: 0s - loss: 8.9230e-06 120/229 [==============>...............] - ETA: 0s - loss: 1.2198e-05 157/229 [===================>..........] - ETA: 0s - loss: 2.1743e-05 197/229 [========================>.....] - ETA: 0s - loss: 1.9237e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.8682e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.5804e-10 40/229 [====>.........................] - ETA: 0s - loss: 1.2240e-05 79/229 [=========>....................] - ETA: 0s - loss: 1.0948e-05 119/229 [==============>...............] - ETA: 0s - loss: 1.1272e-05 160/229 [===================>..........] - ETA: 0s - loss: 1.1479e-05 200/229 [=========================>....] - ETA: 0s - loss: 1.5988e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.6904e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 4.5065e-06 42/229 [====>.........................] - ETA: 0s - loss: 1.8271e-05 82/229 [=========>....................] - ETA: 0s - loss: 9.8805e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.3138e-05 163/229 [====================>.........] - ETA: 0s - loss: 1.4209e-05 204/229 [=========================>....] - ETA: 0s - loss: 1.6144e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.5823e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 2.1902e-10 40/229 [====>.........................] - ETA: 0s - loss: 1.7026e-05 81/229 [=========>....................] - ETA: 0s - loss: 1.3106e-05 121/229 [==============>...............] - ETA: 0s - loss: 1.5368e-05 161/229 [====================>.........] - ETA: 0s - loss: 1.3029e-05 201/229 [=========================>....] - ETA: 0s - loss: 1.1901e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.4262e-05 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.9273e-08 41/229 [====>.........................] - ETA: 0s - loss: 1.2021e-05 81/229 [=========>....................] - ETA: 0s - loss: 1.3793e-05 120/229 [==============>...............] - ETA: 0s - loss: 1.2297e-05 161/229 [====================>.........] - ETA: 0s - loss: 1.4378e-05 200/229 [=========================>....] - ETA: 0s - loss: 1.3112e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.2831e-05 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 3.5650e-07 42/229 [====>.........................] - ETA: 0s - loss: 7.0568e-06 79/229 [=========>....................] - ETA: 0s - loss: 6.2174e-06 112/229 [=============>................] - ETA: 0s - loss: 8.4566e-06 147/229 [==================>...........] - ETA: 0s - loss: 1.2618e-05 182/229 [======================>.......] - ETA: 0s - loss: 1.2568e-05 221/229 [===========================>..] - ETA: 0s - loss: 1.1517e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.2020e-05 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 1, 16 LR f1 score: 0.970 LR cohens kappa score: 0.969 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 571, 0 KNN fn, tp: 2, 15 KNN f1 score: 0.938 KNN cohens kappa score: 0.936 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 45s - loss: 2.3881e-10 42/229 [====>.........................] - ETA: 0s - loss: 2.7013e-04  84/229 [==========>...................] - ETA: 0s - loss: 1.4060e-04 126/229 [===============>..............] - ETA: 0s - loss: 9.4201e-05 166/229 [====================>.........] - ETA: 0s - loss: 0.0019  207/229 [==========================>...] - ETA: 0s - loss: 0.0018 229/229 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 3.4851e-11 37/229 [===>..........................] - ETA: 0s - loss: 6.8641e-05 78/229 [=========>....................] - ETA: 0s - loss: 4.4220e-05 120/229 [==============>...............] - ETA: 0s - loss: 5.3198e-05 160/229 [===================>..........] - ETA: 0s - loss: 4.7744e-05 202/229 [=========================>....] - ETA: 0s - loss: 3.9491e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.4968e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 3.7970e-11 41/229 [====>.........................] - ETA: 0s - loss: 1.0636e-05 82/229 [=========>....................] - ETA: 0s - loss: 7.9129e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.3272e-05 163/229 [====================>.........] - ETA: 0s - loss: 1.0321e-05 204/229 [=========================>....] - ETA: 0s - loss: 8.3847e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.6422e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 2.8133e-05 43/229 [====>.........................] - ETA: 0s - loss: 1.2959e-05 84/229 [==========>...................] - ETA: 0s - loss: 7.0251e-06 125/229 [===============>..............] - ETA: 0s - loss: 4.9159e-06 167/229 [====================>.........] - ETA: 0s - loss: 5.6914e-06 205/229 [=========================>....] - ETA: 0s - loss: 5.7626e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.5781e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 3.1952e-08 37/229 [===>..........................] - ETA: 0s - loss: 1.9880e-06 73/229 [========>.....................] - ETA: 0s - loss: 8.8666e-06 115/229 [==============>...............] - ETA: 0s - loss: 6.5558e-06 155/229 [===================>..........] - ETA: 0s - loss: 5.3261e-06 196/229 [========================>.....] - ETA: 0s - loss: 5.4391e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.7809e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.4279e-11 42/229 [====>.........................] - ETA: 0s - loss: 4.6472e-06 81/229 [=========>....................] - ETA: 0s - loss: 4.9064e-06 118/229 [==============>...............] - ETA: 0s - loss: 3.6295e-06 158/229 [===================>..........] - ETA: 0s - loss: 3.7464e-06 199/229 [=========================>....] - ETA: 0s - loss: 4.7660e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.3866e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 2.6469e-07 41/229 [====>.........................] - ETA: 0s - loss: 6.2022e-07 82/229 [=========>....................] - ETA: 0s - loss: 2.3261e-06 123/229 [===============>..............] - ETA: 0s - loss: 5.3682e-06 163/229 [====================>.........] - ETA: 0s - loss: 4.4683e-06 200/229 [=========================>....] - ETA: 0s - loss: 4.4413e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.0458e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.8101e-11 41/229 [====>.........................] - ETA: 0s - loss: 1.2906e-06 82/229 [=========>....................] - ETA: 0s - loss: 2.9403e-06 121/229 [==============>...............] - ETA: 0s - loss: 2.9636e-06 162/229 [====================>.........] - ETA: 0s - loss: 4.6944e-06 204/229 [=========================>....] - ETA: 0s - loss: 4.1477e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.8370e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 3.5742e-11 42/229 [====>.........................] - ETA: 0s - loss: 3.9015e-07 84/229 [==========>...................] - ETA: 0s - loss: 3.7282e-06 125/229 [===============>..............] - ETA: 0s - loss: 5.0387e-06 166/229 [====================>.........] - ETA: 0s - loss: 4.3902e-06 207/229 [==========================>...] - ETA: 0s - loss: 3.6549e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.5923e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 4.1099e-10 40/229 [====>.........................] - ETA: 0s - loss: 2.3523e-06 81/229 [=========>....................] - ETA: 0s - loss: 1.2577e-06 122/229 [==============>...............] - ETA: 0s - loss: 1.6353e-06 164/229 [====================>.........] - ETA: 0s - loss: 1.8797e-06 205/229 [=========================>....] - ETA: 0s - loss: 2.6064e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.3885e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 39s - loss: 6.0977e-09 43/229 [====>.........................] - ETA: 0s - loss: 2.2706e-05  85/229 [==========>...................] - ETA: 0s - loss: 2.2960e-05 127/229 [===============>..............] - ETA: 0s - loss: 3.1598e-05 168/229 [=====================>........] - ETA: 0s - loss: 9.6171e-05 210/229 [==========================>...] - ETA: 0s - loss: 7.7818e-05 229/229 [==============================] - 0s 1ms/step - loss: 7.1583e-05 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 3.2446e-07 42/229 [====>.........................] - ETA: 0s - loss: 1.3633e-05 83/229 [=========>....................] - ETA: 0s - loss: 1.1238e-05 124/229 [===============>..............] - ETA: 0s - loss: 8.1337e-06 163/229 [====================>.........] - ETA: 0s - loss: 6.2024e-06 202/229 [=========================>....] - ETA: 0s - loss: 5.2599e-06 229/229 [==============================] - 0s 1ms/step - loss: 9.4759e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 2.5961e-10 40/229 [====>.........................] - ETA: 0s - loss: 2.2434e-06 81/229 [=========>....................] - ETA: 0s - loss: 1.2832e-06 122/229 [==============>...............] - ETA: 0s - loss: 2.2833e-06 162/229 [====================>.........] - ETA: 0s - loss: 6.2605e-06 200/229 [=========================>....] - ETA: 0s - loss: 5.2344e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.4249e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 4.9908e-10 42/229 [====>.........................] - ETA: 0s - loss: 3.0123e-07 84/229 [==========>...................] - ETA: 0s - loss: 1.0254e-06 126/229 [===============>..............] - ETA: 0s - loss: 1.1349e-06 165/229 [====================>.........] - ETA: 0s - loss: 9.9172e-07 205/229 [=========================>....] - ETA: 0s - loss: 1.1797e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.0603e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 5.0520e-06 43/229 [====>.........................] - ETA: 0s - loss: 1.4920e-06 85/229 [==========>...................] - ETA: 0s - loss: 1.2700e-06 126/229 [===============>..............] - ETA: 0s - loss: 8.6636e-07 167/229 [====================>.........] - ETA: 0s - loss: 7.2613e-07 209/229 [==========================>...] - ETA: 0s - loss: 7.9925e-07 229/229 [==============================] - 0s 1ms/step - loss: 9.2062e-07 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.8135e-07 42/229 [====>.........................] - ETA: 0s - loss: 2.5446e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.6181e-06 121/229 [==============>...............] - ETA: 0s - loss: 1.2171e-06 159/229 [===================>..........] - ETA: 0s - loss: 9.6381e-07 200/229 [=========================>....] - ETA: 0s - loss: 9.1462e-07 229/229 [==============================] - 0s 1ms/step - loss: 8.3056e-07 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 3.1906e-09 42/229 [====>.........................] - ETA: 0s - loss: 1.9913e-07 78/229 [=========>....................] - ETA: 0s - loss: 7.0641e-07 120/229 [==============>...............] - ETA: 0s - loss: 5.4779e-07 160/229 [===================>..........] - ETA: 0s - loss: 7.9465e-07 200/229 [=========================>....] - ETA: 0s - loss: 8.3294e-07 229/229 [==============================] - 0s 1ms/step - loss: 7.3406e-07 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 6.9127e-11 35/229 [===>..........................] - ETA: 0s - loss: 7.0539e-07 71/229 [========>.....................] - ETA: 0s - loss: 9.6004e-07 112/229 [=============>................] - ETA: 0s - loss: 7.2178e-07 154/229 [===================>..........] - ETA: 0s - loss: 5.9972e-07 195/229 [========================>.....] - ETA: 0s - loss: 5.9761e-07 229/229 [==============================] - 0s 1ms/step - loss: 6.6762e-07 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 9.1695e-07 43/229 [====>.........................] - ETA: 0s - loss: 6.3629e-07 85/229 [==========>...................] - ETA: 0s - loss: 4.1864e-07 119/229 [==============>...............] - ETA: 0s - loss: 5.3443e-07 158/229 [===================>..........] - ETA: 0s - loss: 4.6357e-07 198/229 [========================>.....] - ETA: 0s - loss: 4.6456e-07 229/229 [==============================] - 0s 1ms/step - loss: 6.1154e-07 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 4.4592e-09 42/229 [====>.........................] - ETA: 0s - loss: 7.4176e-07 83/229 [=========>....................] - ETA: 0s - loss: 4.6695e-07 125/229 [===============>..............] - ETA: 0s - loss: 5.8801e-07 166/229 [====================>.........] - ETA: 0s - loss: 5.7593e-07 207/229 [==========================>...] - ETA: 0s - loss: 5.4342e-07 229/229 [==============================] - 0s 1ms/step - loss: 5.6522e-07 -> test with GAN.predict GAN tn, fp: 570, 1 GAN fn, tp: 0, 17 GAN f1 score: 0.971 GAN cohens kappa score: 0.971 -> test with 'LR' LR tn, fp: 568, 3 LR fn, tp: 0, 17 LR f1 score: 0.919 LR cohens kappa score: 0.916 LR average precision score: 0.935 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 569, 2 GB fn, tp: 0, 17 GB f1 score: 0.944 GB cohens kappa score: 0.943 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2216 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 44s - loss: 4.0853e-10 40/229 [====>.........................] - ETA: 0s - loss: 9.9018e-06  74/229 [========>.....................] - ETA: 0s - loss: 5.4752e-06 112/229 [=============>................] - ETA: 0s - loss: 3.8477e-06 150/229 [==================>...........] - ETA: 0s - loss: 2.8933e-06 189/229 [=======================>......] - ETA: 0s - loss: 2.8533e-06 229/229 [==============================] - ETA: 0s - loss: 2.7024e-06 229/229 [==============================] - 1s 1ms/step - loss: 2.7024e-06 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 6.0376e-09 42/229 [====>.........................] - ETA: 0s - loss: 2.1609e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.4596e-06 125/229 [===============>..............] - ETA: 0s - loss: 1.5200e-06 165/229 [====================>.........] - ETA: 0s - loss: 1.2446e-06 203/229 [=========================>....] - ETA: 0s - loss: 1.2385e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.2950e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 1.7589e-06 42/229 [====>.........................] - ETA: 0s - loss: 1.1771e-06 83/229 [=========>....................] - ETA: 0s - loss: 2.2822e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.6218e-06 165/229 [====================>.........] - ETA: 0s - loss: 1.4613e-06 205/229 [=========================>....] - ETA: 0s - loss: 1.1968e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.2166e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 1.8295e-05 42/229 [====>.........................] - ETA: 0s - loss: 1.0902e-06 82/229 [=========>....................] - ETA: 0s - loss: 9.0875e-07 123/229 [===============>..............] - ETA: 0s - loss: 1.1463e-06 163/229 [====================>.........] - ETA: 0s - loss: 9.6167e-07 204/229 [=========================>....] - ETA: 0s - loss: 1.1762e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.0974e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.5696e-09 42/229 [====>.........................] - ETA: 0s - loss: 2.0146e-06 82/229 [=========>....................] - ETA: 0s - loss: 1.3395e-06 123/229 [===============>..............] - ETA: 0s - loss: 1.3528e-06 164/229 [====================>.........] - ETA: 0s - loss: 1.1870e-06 204/229 [=========================>....] - ETA: 0s - loss: 1.1106e-06 229/229 [==============================] - 0s 1ms/step - loss: 1.0059e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 2.3915e-09 41/229 [====>.........................] - ETA: 0s - loss: 7.5797e-07 81/229 [=========>....................] - ETA: 0s - loss: 1.3850e-06 119/229 [==============>...............] - ETA: 0s - loss: 9.8013e-07 160/229 [===================>..........] - ETA: 0s - loss: 1.2015e-06 201/229 [=========================>....] - ETA: 0s - loss: 1.0123e-06 229/229 [==============================] - 0s 1ms/step - loss: 9.4771e-07 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 3.3351e-08 42/229 [====>.........................] - ETA: 0s - loss: 1.5901e-06 83/229 [=========>....................] - ETA: 0s - loss: 1.1628e-06 123/229 [===============>..............] - ETA: 0s - loss: 9.8331e-07 158/229 [===================>..........] - ETA: 0s - loss: 9.2728e-07 194/229 [========================>.....] - ETA: 0s - loss: 9.6520e-07 226/229 [============================>.] - ETA: 0s - loss: 8.6049e-07 229/229 [==============================] - 0s 1ms/step - loss: 8.5683e-07 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.8499e-09 36/229 [===>..........................] - ETA: 0s - loss: 8.5235e-07 77/229 [=========>....................] - ETA: 0s - loss: 9.5706e-07 118/229 [==============>...............] - ETA: 0s - loss: 7.2153e-07 160/229 [===================>..........] - ETA: 0s - loss: 9.7885e-07 201/229 [=========================>....] - ETA: 0s - loss: 8.8492e-07 229/229 [==============================] - 0s 1ms/step - loss: 8.1491e-07 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.9036e-06 41/229 [====>.........................] - ETA: 0s - loss: 9.2329e-07 81/229 [=========>....................] - ETA: 0s - loss: 8.3125e-07 121/229 [==============>...............] - ETA: 0s - loss: 1.1302e-06 159/229 [===================>..........] - ETA: 0s - loss: 9.8207e-07 196/229 [========================>.....] - ETA: 0s - loss: 8.6911e-07 229/229 [==============================] - 0s 1ms/step - loss: 7.6186e-07 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 3.2880e-10 40/229 [====>.........................] - ETA: 0s - loss: 3.1936e-07 81/229 [=========>....................] - ETA: 0s - loss: 6.3459e-07 121/229 [==============>...............] - ETA: 0s - loss: 5.2521e-07 161/229 [====================>.........] - ETA: 0s - loss: 4.6350e-07 198/229 [========================>.....] - ETA: 0s - loss: 6.9349e-07 229/229 [==============================] - 0s 1ms/step - loss: 7.1098e-07 -> test with GAN.predict GAN tn, fp: 570, 0 GAN fn, tp: 0, 13 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 570, 0 LR fn, tp: 1, 12 LR f1 score: 0.960 LR cohens kappa score: 0.959 LR average precision score: 0.982 -> test with 'RF' RF tn, fp: 570, 0 RF fn, tp: 1, 12 RF f1 score: 0.960 RF cohens kappa score: 0.959 -> test with 'GB' GB tn, fp: 570, 0 GB fn, tp: 0, 13 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 569, 1 KNN fn, tp: 0, 13 KNN f1 score: 0.963 KNN cohens kappa score: 0.962 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 39s - loss: 4.1175e-09 43/229 [====>.........................] - ETA: 0s - loss: 1.4731e-04  79/229 [=========>....................] - ETA: 0s - loss: 3.1356e-04 111/229 [=============>................] - ETA: 0s - loss: 4.4943e-04 141/229 [=================>............] - ETA: 0s - loss: 3.6030e-04 175/229 [=====================>........] - ETA: 0s - loss: 2.9552e-04 213/229 [==========================>...] - ETA: 0s - loss: 2.4374e-04 229/229 [==============================] - 0s 1ms/step - loss: 2.2868e-04 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 2.0328e-09 39/229 [====>.........................] - ETA: 0s - loss: 9.7830e-06 78/229 [=========>....................] - ETA: 0s - loss: 9.8054e-06 117/229 [==============>...............] - ETA: 0s - loss: 7.2320e-06 157/229 [===================>..........] - ETA: 0s - loss: 5.8730e-06 197/229 [========================>.....] - ETA: 0s - loss: 5.4906e-06 229/229 [==============================] - 0s 1ms/step - loss: 6.1323e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 2.7790e-09 40/229 [====>.........................] - ETA: 0s - loss: 1.9818e-06 80/229 [=========>....................] - ETA: 0s - loss: 4.9619e-06 121/229 [==============>...............] - ETA: 0s - loss: 3.6124e-06 160/229 [===================>..........] - ETA: 0s - loss: 3.8440e-06 201/229 [=========================>....] - ETA: 0s - loss: 4.2699e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.1421e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 8.2203e-08 39/229 [====>.........................] - ETA: 0s - loss: 6.7529e-07 80/229 [=========>....................] - ETA: 0s - loss: 4.6193e-06 121/229 [==============>...............] - ETA: 0s - loss: 6.9225e-06 162/229 [====================>.........] - ETA: 0s - loss: 5.4366e-06 203/229 [=========================>....] - ETA: 0s - loss: 4.7928e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.4494e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 2.8995e-07 42/229 [====>.........................] - ETA: 0s - loss: 3.4697e-06 82/229 [=========>....................] - ETA: 0s - loss: 5.1406e-06 123/229 [===============>..............] - ETA: 0s - loss: 3.4430e-06 161/229 [====================>.........] - ETA: 0s - loss: 2.9482e-06 201/229 [=========================>....] - ETA: 0s - loss: 3.5998e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.9579e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.6631e-09 39/229 [====>.........................] - ETA: 0s - loss: 6.3755e-06 78/229 [=========>....................] - ETA: 0s - loss: 4.8107e-06 119/229 [==============>...............] - ETA: 0s - loss: 4.0239e-06 160/229 [===================>..........] - ETA: 0s - loss: 4.0967e-06 201/229 [=========================>....] - ETA: 0s - loss: 3.3334e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.6120e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 6.9021e-10 42/229 [====>.........................] - ETA: 0s - loss: 3.2531e-06 82/229 [=========>....................] - ETA: 0s - loss: 4.1229e-06 121/229 [==============>...............] - ETA: 0s - loss: 4.4828e-06 162/229 [====================>.........] - ETA: 0s - loss: 3.8982e-06 203/229 [=========================>....] - ETA: 0s - loss: 3.5837e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.2263e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 3.0431e-08 34/229 [===>..........................] - ETA: 0s - loss: 1.7191e-06 71/229 [========>.....................] - ETA: 0s - loss: 4.5727e-06 111/229 [=============>................] - ETA: 0s - loss: 3.6300e-06 148/229 [==================>...........] - ETA: 0s - loss: 3.0954e-06 181/229 [======================>.......] - ETA: 0s - loss: 2.6249e-06 215/229 [===========================>..] - ETA: 0s - loss: 3.2831e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.1453e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 3.0489e-10 41/229 [====>.........................] - ETA: 0s - loss: 5.6602e-06 80/229 [=========>....................] - ETA: 0s - loss: 5.2958e-06 121/229 [==============>...............] - ETA: 0s - loss: 4.4628e-06 161/229 [====================>.........] - ETA: 0s - loss: 3.6488e-06 200/229 [=========================>....] - ETA: 0s - loss: 3.3129e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.9044e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 4.8983e-08 36/229 [===>..........................] - ETA: 0s - loss: 3.7318e-07 73/229 [========>.....................] - ETA: 0s - loss: 2.2467e-06 113/229 [=============>................] - ETA: 0s - loss: 2.1466e-06 154/229 [===================>..........] - ETA: 0s - loss: 2.0509e-06 195/229 [========================>.....] - ETA: 0s - loss: 2.4476e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.6037e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 0, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 1 KNN fn, tp: 0, 17 KNN f1 score: 0.971 KNN cohens kappa score: 0.971 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 44s - loss: 2.2890e-09 28/229 [==>...........................] - ETA: 0s - loss: 0.0039  60/229 [======>.......................] - ETA: 0s - loss: 0.0046 95/229 [===========>..................] - ETA: 0s - loss: 0.0030 131/229 [================>.............] - ETA: 0s - loss: 0.0022 171/229 [=====================>........] - ETA: 0s - loss: 0.0017 211/229 [==========================>...] - ETA: 0s - loss: 0.0014 229/229 [==============================] - 1s 1ms/step - loss: 0.0013 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 8.2174e-10 38/229 [===>..........................] - ETA: 0s - loss: 7.1588e-05 74/229 [========>.....................] - ETA: 0s - loss: 3.8315e-05 110/229 [=============>................] - ETA: 0s - loss: 2.6488e-05 145/229 [=================>............] - ETA: 0s - loss: 3.1056e-05 181/229 [======================>.......] - ETA: 0s - loss: 2.5141e-05 221/229 [===========================>..] - ETA: 0s - loss: 3.7939e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.7062e-05 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 7.1948e-10 37/229 [===>..........................] - ETA: 0s - loss: 1.5541e-05 74/229 [========>.....................] - ETA: 0s - loss: 1.2387e-05 109/229 [=============>................] - ETA: 0s - loss: 9.0029e-06 141/229 [=================>............] - ETA: 0s - loss: 1.5646e-05 179/229 [======================>.......] - ETA: 0s - loss: 3.2741e-05 216/229 [===========================>..] - ETA: 0s - loss: 2.7259e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.6036e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 3.1163e-10 39/229 [====>.........................] - ETA: 0s - loss: 5.8848e-05 71/229 [========>.....................] - ETA: 0s - loss: 5.1836e-05 104/229 [============>.................] - ETA: 0s - loss: 3.7869e-05 137/229 [================>.............] - ETA: 0s - loss: 2.8781e-05 171/229 [=====================>........] - ETA: 0s - loss: 2.3745e-05 207/229 [==========================>...] - ETA: 0s - loss: 2.1104e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.9256e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 8.8131e-04 39/229 [====>.........................] - ETA: 0s - loss: 2.7359e-05 73/229 [========>.....................] - ETA: 0s - loss: 1.5384e-05 112/229 [=============>................] - ETA: 0s - loss: 2.2496e-05 146/229 [==================>...........] - ETA: 0s - loss: 1.9788e-05 184/229 [=======================>......] - ETA: 0s - loss: 1.7860e-05 218/229 [===========================>..] - ETA: 0s - loss: 1.5510e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.5290e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.3935e-10 33/229 [===>..........................] - ETA: 0s - loss: 4.4496e-05 62/229 [=======>......................] - ETA: 0s - loss: 2.5220e-05 97/229 [===========>..................] - ETA: 0s - loss: 2.9617e-05 131/229 [================>.............] - ETA: 0s - loss: 2.2072e-05 164/229 [====================>.........] - ETA: 0s - loss: 1.8003e-05 199/229 [=========================>....] - ETA: 0s - loss: 1.5028e-05 229/229 [==============================] - 0s 2ms/step - loss: 1.3314e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 1.4035e-05 38/229 [===>..........................] - ETA: 0s - loss: 9.8406e-06 70/229 [========>.....................] - ETA: 0s - loss: 1.6483e-05 106/229 [============>.................] - ETA: 0s - loss: 1.1395e-05 142/229 [=================>............] - ETA: 0s - loss: 1.6901e-05 178/229 [======================>.......] - ETA: 0s - loss: 1.5440e-05 218/229 [===========================>..] - ETA: 0s - loss: 1.2771e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.2220e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 8.8334e-10 35/229 [===>..........................] - ETA: 0s - loss: 1.7231e-06 73/229 [========>.....................] - ETA: 0s - loss: 1.5904e-06 104/229 [============>.................] - ETA: 0s - loss: 3.0808e-06 143/229 [=================>............] - ETA: 0s - loss: 1.0076e-05 178/229 [======================>.......] - ETA: 0s - loss: 8.3989e-06 215/229 [===========================>..] - ETA: 0s - loss: 1.0988e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.0616e-05 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 4.1271e-10 38/229 [===>..........................] - ETA: 0s - loss: 1.4767e-05 76/229 [========>.....................] - ETA: 0s - loss: 1.2223e-05 114/229 [=============>................] - ETA: 0s - loss: 8.9221e-06 146/229 [==================>...........] - ETA: 0s - loss: 8.0361e-06 184/229 [=======================>......] - ETA: 0s - loss: 7.2082e-06 219/229 [===========================>..] - ETA: 0s - loss: 9.8201e-06 229/229 [==============================] - 0s 1ms/step - loss: 9.4203e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 5.1632e-10 37/229 [===>..........................] - ETA: 0s - loss: 1.3962e-05 75/229 [========>.....................] - ETA: 0s - loss: 1.4307e-05 113/229 [=============>................] - ETA: 0s - loss: 9.6308e-06 152/229 [==================>...........] - ETA: 0s - loss: 8.9101e-06 188/229 [=======================>......] - ETA: 0s - loss: 8.6789e-06 227/229 [============================>.] - ETA: 0s - loss: 8.6133e-06 229/229 [==============================] - 0s 1ms/step - loss: 8.5643e-06 -> test with GAN.predict GAN tn, fp: 570, 1 GAN fn, tp: 0, 17 GAN f1 score: 0.971 GAN cohens kappa score: 0.971 -> test with 'LR' LR tn, fp: 570, 1 LR fn, tp: 0, 17 LR f1 score: 0.971 LR cohens kappa score: 0.971 LR average precision score: 0.990 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 571, 0 KNN fn, tp: 2, 15 KNN f1 score: 0.938 KNN cohens kappa score: 0.936 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 49s - loss: 0.0018 42/229 [====>.........................] - ETA: 0s - loss: 2.5579e-04 83/229 [=========>....................] - ETA: 0s - loss: 8.7248e-04 121/229 [==============>...............] - ETA: 0s - loss: 8.3009e-04 156/229 [===================>..........] - ETA: 0s - loss: 6.4401e-04 191/229 [========================>.....] - ETA: 0s - loss: 0.0029  228/229 [============================>.] - ETA: 0s - loss: 0.0024 229/229 [==============================] - 1s 1ms/step - loss: 0.0024 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 9.5523e-10 37/229 [===>..........................] - ETA: 0s - loss: 9.6474e-05 73/229 [========>.....................] - ETA: 0s - loss: 3.8538e-04 110/229 [=============>................] - ETA: 0s - loss: 2.5784e-04 145/229 [=================>............] - ETA: 0s - loss: 2.4139e-04 182/229 [======================>.......] - ETA: 0s - loss: 1.9553e-04 217/229 [===========================>..] - ETA: 0s - loss: 1.6405e-04 229/229 [==============================] - 0s 1ms/step - loss: 1.5617e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 1.1939e-10 37/229 [===>..........................] - ETA: 0s - loss: 5.3251e-07 77/229 [=========>....................] - ETA: 0s - loss: 2.2476e-05 116/229 [==============>...............] - ETA: 0s - loss: 1.5083e-05 152/229 [==================>...........] - ETA: 0s - loss: 1.1550e-05 190/229 [=======================>......] - ETA: 0s - loss: 9.5020e-06 227/229 [============================>.] - ETA: 0s - loss: 8.6015e-06 229/229 [==============================] - 0s 1ms/step - loss: 8.5556e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 1.1318e-10 33/229 [===>..........................] - ETA: 0s - loss: 2.2400e-07 69/229 [========>.....................] - ETA: 0s - loss: 4.3346e-06 101/229 [============>.................] - ETA: 0s - loss: 3.5591e-06 131/229 [================>.............] - ETA: 0s - loss: 8.7695e-06 164/229 [====================>.........] - ETA: 0s - loss: 7.5479e-06 197/229 [========================>.....] - ETA: 0s - loss: 7.6679e-06 229/229 [==============================] - 0s 2ms/step - loss: 6.6340e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 1.6482e-06 36/229 [===>..........................] - ETA: 0s - loss: 7.0708e-06 69/229 [========>.....................] - ETA: 0s - loss: 5.2752e-06 102/229 [============>.................] - ETA: 0s - loss: 3.7186e-06 137/229 [================>.............] - ETA: 0s - loss: 7.7826e-06 171/229 [=====================>........] - ETA: 0s - loss: 7.4211e-06 204/229 [=========================>....] - ETA: 0s - loss: 6.2980e-06 229/229 [==============================] - 0s 2ms/step - loss: 5.6903e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 5.9077e-06 33/229 [===>..........................] - ETA: 0s - loss: 5.6078e-07 66/229 [=======>......................] - ETA: 0s - loss: 1.1568e-05 101/229 [============>.................] - ETA: 0s - loss: 7.5867e-06 134/229 [================>.............] - ETA: 0s - loss: 5.9219e-06 171/229 [=====================>........] - ETA: 0s - loss: 5.4680e-06 207/229 [==========================>...] - ETA: 0s - loss: 5.4644e-06 229/229 [==============================] - 0s 1ms/step - loss: 5.0963e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 4.8280e-09 33/229 [===>..........................] - ETA: 0s - loss: 1.5437e-05 66/229 [=======>......................] - ETA: 0s - loss: 1.0942e-05 99/229 [===========>..................] - ETA: 0s - loss: 7.7319e-06 134/229 [================>.............] - ETA: 0s - loss: 6.7534e-06 168/229 [=====================>........] - ETA: 0s - loss: 5.7288e-06 201/229 [=========================>....] - ETA: 0s - loss: 4.8409e-06 229/229 [==============================] - 0s 2ms/step - loss: 4.7162e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.1209e-10 34/229 [===>..........................] - ETA: 0s - loss: 3.1077e-07 71/229 [========>.....................] - ETA: 0s - loss: 5.7025e-06 106/229 [============>.................] - ETA: 0s - loss: 4.1347e-06 140/229 [=================>............] - ETA: 0s - loss: 5.0427e-06 176/229 [======================>.......] - ETA: 0s - loss: 4.5343e-06 214/229 [===========================>..] - ETA: 0s - loss: 4.4475e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.4460e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.5033e-10 34/229 [===>..........................] - ETA: 0s - loss: 7.0944e-06 69/229 [========>.....................] - ETA: 0s - loss: 9.7407e-06 105/229 [============>.................] - ETA: 0s - loss: 6.5164e-06 141/229 [=================>............] - ETA: 0s - loss: 6.0997e-06 175/229 [=====================>........] - ETA: 0s - loss: 5.1256e-06 204/229 [=========================>....] - ETA: 0s - loss: 4.4754e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.1396e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 3.3343e-10 37/229 [===>..........................] - ETA: 0s - loss: 1.6744e-07 72/229 [========>.....................] - ETA: 0s - loss: 1.0847e-06 106/229 [============>.................] - ETA: 0s - loss: 3.6187e-06 137/229 [================>.............] - ETA: 0s - loss: 3.9675e-06 172/229 [=====================>........] - ETA: 0s - loss: 4.9934e-06 207/229 [==========================>...] - ETA: 0s - loss: 4.3358e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.9382e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 571, 0 LR fn, tp: 1, 16 LR f1 score: 0.970 LR cohens kappa score: 0.969 LR average precision score: 0.991 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 1, 16 RF f1 score: 0.970 RF cohens kappa score: 0.969 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 567, 4 KNN fn, tp: 0, 17 KNN f1 score: 0.895 KNN cohens kappa score: 0.891 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2219 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 42s - loss: 1.7361e-07 36/229 [===>..........................] - ETA: 0s - loss: 0.0047  74/229 [========>.....................] - ETA: 0s - loss: 0.0030 113/229 [=============>................] - ETA: 0s - loss: 0.0020 152/229 [==================>...........] - ETA: 0s - loss: 0.0015 190/229 [=======================>......] - ETA: 0s - loss: 0.0012 225/229 [============================>.] - ETA: 0s - loss: 0.0010 229/229 [==============================] - 0s 1ms/step - loss: 9.9355e-04 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 1.2869e-09 38/229 [===>..........................] - ETA: 0s - loss: 1.5119e-05 72/229 [========>.....................] - ETA: 0s - loss: 1.2141e-05 100/229 [============>.................] - ETA: 0s - loss: 1.2329e-05 136/229 [================>.............] - ETA: 0s - loss: 9.7140e-06 173/229 [=====================>........] - ETA: 0s - loss: 8.8036e-06 211/229 [==========================>...] - ETA: 0s - loss: 7.3108e-06 229/229 [==============================] - 0s 1ms/step - loss: 7.6369e-06 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 7.6138e-10 38/229 [===>..........................] - ETA: 0s - loss: 5.7801e-06 75/229 [========>.....................] - ETA: 0s - loss: 3.5286e-06 112/229 [=============>................] - ETA: 0s - loss: 3.1954e-06 144/229 [=================>............] - ETA: 0s - loss: 4.3297e-06 180/229 [======================>.......] - ETA: 0s - loss: 3.8946e-06 216/229 [===========================>..] - ETA: 0s - loss: 4.3937e-06 229/229 [==============================] - 0s 1ms/step - loss: 4.1601e-06 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 1.6461e-09 36/229 [===>..........................] - ETA: 0s - loss: 3.3765e-06 73/229 [========>.....................] - ETA: 0s - loss: 3.8839e-06 109/229 [=============>................] - ETA: 0s - loss: 3.2251e-06 145/229 [=================>............] - ETA: 0s - loss: 2.6463e-06 182/229 [======================>.......] - ETA: 0s - loss: 2.9620e-06 219/229 [===========================>..] - ETA: 0s - loss: 3.4236e-06 229/229 [==============================] - 0s 1ms/step - loss: 3.2922e-06 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 9.7892e-10 38/229 [===>..........................] - ETA: 0s - loss: 4.6791e-06 74/229 [========>.....................] - ETA: 0s - loss: 2.5979e-06 111/229 [=============>................] - ETA: 0s - loss: 1.8365e-06 149/229 [==================>...........] - ETA: 0s - loss: 1.7783e-06 186/229 [=======================>......] - ETA: 0s - loss: 1.5075e-06 225/229 [============================>.] - ETA: 0s - loss: 2.9754e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.9324e-06 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 1.0313e-09 40/229 [====>.........................] - ETA: 0s - loss: 2.4267e-06 76/229 [========>.....................] - ETA: 0s - loss: 1.5122e-06 112/229 [=============>................] - ETA: 0s - loss: 2.7773e-06 150/229 [==================>...........] - ETA: 0s - loss: 2.6865e-06 187/229 [=======================>......] - ETA: 0s - loss: 2.6385e-06 223/229 [============================>.] - ETA: 0s - loss: 2.8680e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.8035e-06 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 4.5082e-09 39/229 [====>.........................] - ETA: 0s - loss: 3.1971e-06 74/229 [========>.....................] - ETA: 0s - loss: 3.4528e-06 111/229 [=============>................] - ETA: 0s - loss: 3.1999e-06 147/229 [==================>...........] - ETA: 0s - loss: 2.6614e-06 184/229 [=======================>......] - ETA: 0s - loss: 3.1466e-06 220/229 [===========================>..] - ETA: 0s - loss: 2.6688e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.6855e-06 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 1.3423e-06 40/229 [====>.........................] - ETA: 0s - loss: 1.3821e-06 81/229 [=========>....................] - ETA: 0s - loss: 3.4610e-06 118/229 [==============>...............] - ETA: 0s - loss: 3.2216e-06 153/229 [===================>..........] - ETA: 0s - loss: 2.8977e-06 189/229 [=======================>......] - ETA: 0s - loss: 2.4336e-06 225/229 [============================>.] - ETA: 0s - loss: 2.6259e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.5882e-06 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 5.7332e-05 32/229 [===>..........................] - ETA: 0s - loss: 1.9941e-06 62/229 [=======>......................] - ETA: 0s - loss: 2.7893e-06 94/229 [===========>..................] - ETA: 0s - loss: 4.0278e-06 131/229 [================>.............] - ETA: 0s - loss: 3.8126e-06 165/229 [====================>.........] - ETA: 0s - loss: 3.0934e-06 195/229 [========================>.....] - ETA: 0s - loss: 2.7965e-06 229/229 [==============================] - 0s 2ms/step - loss: 2.5309e-06 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 2.5057e-06 38/229 [===>..........................] - ETA: 0s - loss: 1.2622e-06 74/229 [========>.....................] - ETA: 0s - loss: 1.5635e-06 109/229 [=============>................] - ETA: 0s - loss: 2.0980e-06 145/229 [=================>............] - ETA: 0s - loss: 1.6796e-06 181/229 [======================>.......] - ETA: 0s - loss: 1.5137e-06 217/229 [===========================>..] - ETA: 0s - loss: 2.5622e-06 229/229 [==============================] - 0s 1ms/step - loss: 2.4355e-06 -> test with GAN.predict GAN tn, fp: 571, 0 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 570, 1 LR fn, tp: 2, 15 LR f1 score: 0.909 LR cohens kappa score: 0.906 LR average precision score: 0.990 -> test with 'RF' RF tn, fp: 571, 0 RF fn, tp: 0, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 571, 0 GB fn, tp: 0, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 569, 2 KNN fn, tp: 0, 17 KNN f1 score: 0.944 KNN cohens kappa score: 0.943 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2216 synthetic samples -> retrain GAN for predict Epoch 1/10 1/229 [..............................] - ETA: 44s - loss: 1.7639e-10 42/229 [====>.........................] - ETA: 0s - loss: 0.0065  83/229 [=========>....................] - ETA: 0s - loss: 0.0033 124/229 [===============>..............] - ETA: 0s - loss: 0.0028 165/229 [====================>.........] - ETA: 0s - loss: 0.0032 203/229 [=========================>....] - ETA: 0s - loss: 0.0026 229/229 [==============================] - 0s 1ms/step - loss: 0.0032 Epoch 2/10 1/229 [..............................] - ETA: 0s - loss: 5.2677e-08 42/229 [====>.........................] - ETA: 0s - loss: 5.0941e-04 83/229 [=========>....................] - ETA: 0s - loss: 3.0129e-04 122/229 [==============>...............] - ETA: 0s - loss: 2.4159e-04 164/229 [====================>.........] - ETA: 0s - loss: 2.0967e-04 204/229 [=========================>....] - ETA: 0s - loss: 1.6885e-04 229/229 [==============================] - 0s 1ms/step - loss: 1.5222e-04 Epoch 3/10 1/229 [..............................] - ETA: 0s - loss: 3.0579e-11 37/229 [===>..........................] - ETA: 0s - loss: 2.4720e-06 68/229 [=======>......................] - ETA: 0s - loss: 3.2126e-05 105/229 [============>.................] - ETA: 0s - loss: 3.0066e-05 148/229 [==================>...........] - ETA: 0s - loss: 4.5617e-05 188/229 [=======================>......] - ETA: 0s - loss: 3.6896e-05 228/229 [============================>.] - ETA: 0s - loss: 3.1085e-05 229/229 [==============================] - 0s 1ms/step - loss: 3.1030e-05 Epoch 4/10 1/229 [..............................] - ETA: 0s - loss: 3.1451e-11 42/229 [====>.........................] - ETA: 0s - loss: 5.7981e-06 82/229 [=========>....................] - ETA: 0s - loss: 2.3222e-05 120/229 [==============>...............] - ETA: 0s - loss: 1.7162e-05 160/229 [===================>..........] - ETA: 0s - loss: 2.0339e-05 201/229 [=========================>....] - ETA: 0s - loss: 1.8159e-05 229/229 [==============================] - 0s 1ms/step - loss: 2.3090e-05 Epoch 5/10 1/229 [..............................] - ETA: 0s - loss: 3.1581e-11 40/229 [====>.........................] - ETA: 0s - loss: 3.0172e-05 77/229 [=========>....................] - ETA: 0s - loss: 2.5108e-05 117/229 [==============>...............] - ETA: 0s - loss: 1.9159e-05 157/229 [===================>..........] - ETA: 0s - loss: 2.4610e-05 198/229 [========================>.....] - ETA: 0s - loss: 2.1502e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.9300e-05 Epoch 6/10 1/229 [..............................] - ETA: 0s - loss: 3.7822e-10 40/229 [====>.........................] - ETA: 0s - loss: 2.2365e-06 81/229 [=========>....................] - ETA: 0s - loss: 2.2503e-05 121/229 [==============>...............] - ETA: 0s - loss: 1.8189e-05 161/229 [====================>.........] - ETA: 0s - loss: 1.9497e-05 196/229 [========================>.....] - ETA: 0s - loss: 1.6369e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.6210e-05 Epoch 7/10 1/229 [..............................] - ETA: 0s - loss: 7.3414e-11 40/229 [====>.........................] - ETA: 0s - loss: 1.9204e-05 80/229 [=========>....................] - ETA: 0s - loss: 1.0256e-05 119/229 [==============>...............] - ETA: 0s - loss: 1.3304e-05 160/229 [===================>..........] - ETA: 0s - loss: 1.8052e-05 201/229 [=========================>....] - ETA: 0s - loss: 1.6216e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.4990e-05 Epoch 8/10 1/229 [..............................] - ETA: 0s - loss: 2.6323e-11 40/229 [====>.........................] - ETA: 0s - loss: 1.2612e-05 80/229 [=========>....................] - ETA: 0s - loss: 1.0289e-05 119/229 [==============>...............] - ETA: 0s - loss: 1.2129e-05 158/229 [===================>..........] - ETA: 0s - loss: 1.0592e-05 200/229 [=========================>....] - ETA: 0s - loss: 1.5480e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.3948e-05 Epoch 9/10 1/229 [..............................] - ETA: 0s - loss: 1.1118e-09 43/229 [====>.........................] - ETA: 0s - loss: 4.4358e-06 80/229 [=========>....................] - ETA: 0s - loss: 1.3959e-05 113/229 [=============>................] - ETA: 0s - loss: 1.4532e-05 147/229 [==================>...........] - ETA: 0s - loss: 1.3205e-05 181/229 [======================>.......] - ETA: 0s - loss: 1.2642e-05 217/229 [===========================>..] - ETA: 0s - loss: 1.3426e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.2826e-05 Epoch 10/10 1/229 [..............................] - ETA: 0s - loss: 2.4762e-05 35/229 [===>..........................] - ETA: 0s - loss: 7.3687e-06 65/229 [=======>......................] - ETA: 0s - loss: 6.5563e-06 97/229 [===========>..................] - ETA: 0s - loss: 6.9274e-06 132/229 [================>.............] - ETA: 0s - loss: 8.2898e-06 171/229 [=====================>........] - ETA: 0s - loss: 8.2618e-06 209/229 [==========================>...] - ETA: 0s - loss: 1.2975e-05 229/229 [==============================] - 0s 1ms/step - loss: 1.1945e-05 -> test with GAN.predict GAN tn, fp: 570, 0 GAN fn, tp: 0, 13 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 570, 0 LR fn, tp: 0, 13 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 570, 0 RF fn, tp: 0, 13 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 570, 0 GB fn, tp: 0, 13 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 570, 0 KNN fn, tp: 0, 13 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 571, 4 LR fn, tp: 2, 17 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 average: LR tn, fp: 570.28, 0.52 LR fn, tp: 0.56, 15.64 LR f1 score: 0.965 LR cohens kappa score: 0.965 LR average precision score: 0.989 minimum: LR tn, fp: 566, 0 LR fn, tp: 0, 11 LR f1 score: 0.828 LR cohens kappa score: 0.823 LR average precision score: 0.911 -----[ RF ]----- maximum: RF tn, fp: 571, 0 RF fn, tp: 2, 17 RF f1 score: 1.000 RF cohens kappa score: 1.000 average: RF tn, fp: 570.8, 0.0 RF fn, tp: 0.24, 15.96 RF f1 score: 0.992 RF cohens kappa score: 0.992 minimum: RF tn, fp: 570, 0 RF fn, tp: 0, 12 RF f1 score: 0.938 RF cohens kappa score: 0.936 -----[ GB ]----- maximum: GB tn, fp: 571, 2 GB fn, tp: 2, 17 GB f1 score: 1.000 GB cohens kappa score: 1.000 average: GB tn, fp: 570.72, 0.08 GB fn, tp: 0.08, 16.12 GB f1 score: 0.995 GB cohens kappa score: 0.995 minimum: GB tn, fp: 569, 0 GB fn, tp: 0, 13 GB f1 score: 0.938 GB cohens kappa score: 0.936 -----[ KNN ]----- maximum: KNN tn, fp: 571, 4 KNN fn, tp: 2, 17 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 average: KNN tn, fp: 569.84, 0.96 KNN fn, tp: 0.36, 15.84 KNN f1 score: 0.961 KNN cohens kappa score: 0.960 minimum: KNN tn, fp: 567, 0 KNN fn, tp: 0, 13 KNN f1 score: 0.895 KNN cohens kappa score: 0.891 -----[ GAN ]----- maximum: GAN tn, fp: 571, 1 GAN fn, tp: 0, 17 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 average: GAN tn, fp: 570.64, 0.16 GAN fn, tp: 0.0, 16.2 GAN f1 score: 0.995 GAN cohens kappa score: 0.995 minimum: GAN tn, fp: 569, 0 GAN fn, tp: 0, 13 GAN f1 score: 0.963 GAN cohens kappa score: 0.962