/////////////////////////////////////////// // Running convGAN-majority-5 on folding_kddcup-guess_passwd_vs_satan /////////////////////////////////////////// Load 'data_input/folding_kddcup-guess_passwd_vs_satan' 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 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 21s - loss: 5.7494e-06 37/128 [=======>......................] - ETA: 0s - loss: 6.3475e-06  70/128 [===============>..............] - ETA: 0s - loss: 6.4046e-06 105/128 [=======================>......] - ETA: 0s - loss: 1.2190e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.1174e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 8.9000e-06 37/128 [=======>......................] - ETA: 0s - loss: 5.8282e-06 70/128 [===============>..............] - ETA: 0s - loss: 1.3665e-05 107/128 [========================>.....] - ETA: 0s - loss: 1.0796e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.0016e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 4.9194e-06 35/128 [=======>......................] - ETA: 0s - loss: 5.3844e-06 70/128 [===============>..............] - ETA: 0s - loss: 5.2432e-06 104/128 [=======================>......] - ETA: 0s - loss: 5.0827e-06 128/128 [==============================] - 0s 2ms/step - loss: 9.0270e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.1384e-06 32/128 [======>.......................] - ETA: 0s - loss: 4.8176e-06 66/128 [==============>...............] - ETA: 0s - loss: 4.6396e-06 99/128 [======================>.......] - ETA: 0s - loss: 4.5274e-06 128/128 [==============================] - 0s 2ms/step - loss: 8.1502e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 5.2006e-06 33/128 [======>.......................] - ETA: 0s - loss: 4.2861e-06 67/128 [==============>...............] - ETA: 0s - loss: 4.1234e-06 102/128 [======================>.......] - ETA: 0s - loss: 4.0821e-06 128/128 [==============================] - 0s 1ms/step - loss: 7.3880e-06 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 4.5961e-06 32/128 [======>.......................] - ETA: 0s - loss: 3.8864e-06 67/128 [==============>...............] - ETA: 0s - loss: 3.7921e-06 101/128 [======================>.......] - ETA: 0s - loss: 7.5405e-06 128/128 [==============================] - 0s 2ms/step - loss: 6.7157e-06 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 5.3358e-06 31/128 [======>.......................] - ETA: 0s - loss: 3.4671e-06 62/128 [=============>................] - ETA: 0s - loss: 9.2394e-06 94/128 [=====================>........] - ETA: 0s - loss: 7.2183e-06 127/128 [============================>.] - ETA: 0s - loss: 6.1355e-06 128/128 [==============================] - 0s 2ms/step - loss: 6.1328e-06 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.2450e-06 34/128 [======>.......................] - ETA: 0s - loss: 3.3399e-06 67/128 [==============>...............] - ETA: 0s - loss: 3.0969e-06 101/128 [======================>.......] - ETA: 0s - loss: 3.0015e-06 128/128 [==============================] - 0s 2ms/step - loss: 5.6192e-06 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.1995e-06 35/128 [=======>......................] - ETA: 0s - loss: 1.1808e-05 70/128 [===============>..............] - ETA: 0s - loss: 7.2517e-06 99/128 [======================>.......] - ETA: 0s - loss: 5.8699e-06 128/128 [==============================] - ETA: 0s - loss: 5.1673e-06 128/128 [==============================] - 0s 2ms/step - loss: 5.1673e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 3.7780e-06 32/128 [======>.......................] - ETA: 0s - loss: 2.4246e-06 68/128 [==============>...............] - ETA: 0s - loss: 6.7886e-06 101/128 [======================>.......] - ETA: 0s - loss: 5.3704e-06 128/128 [==============================] - 0s 1ms/step - loss: 4.7438e-06 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 21s - loss: 3.4560e-07 39/128 [========>.....................] - ETA: 0s - loss: 5.6879e-07  77/128 [=================>............] - ETA: 0s - loss: 3.9316e-06 111/128 [=========================>....] - ETA: 0s - loss: 6.5588e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.7403e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 4.7907e-07 36/128 [=======>......................] - ETA: 0s - loss: 6.7542e-07 68/128 [==============>...............] - ETA: 0s - loss: 9.1382e-05 103/128 [=======================>......] - ETA: 0s - loss: 6.0549e-05 128/128 [==============================] - 0s 2ms/step - loss: 5.0587e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 6.7880e-07 36/128 [=======>......................] - ETA: 0s - loss: 5.3532e-06 71/128 [===============>..............] - ETA: 0s - loss: 2.9624e-06 104/128 [=======================>......] - ETA: 0s - loss: 2.2853e-06 128/128 [==============================] - 0s 1ms/step - loss: 4.5091e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 3.2641e-07 34/128 [======>.......................] - ETA: 0s - loss: 4.9954e-06 66/128 [==============>...............] - ETA: 0s - loss: 5.0905e-05 104/128 [=======================>......] - ETA: 0s - loss: 3.2529e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.9842e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 4.0673e-07 36/128 [=======>......................] - ETA: 0s - loss: 3.9864e-06 70/128 [===============>..............] - ETA: 0s - loss: 4.3123e-05 103/128 [=======================>......] - ETA: 0s - loss: 4.3841e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.5696e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 8.0692e-07 32/128 [======>.......................] - ETA: 0s - loss: 4.0327e-06 64/128 [==============>...............] - ETA: 0s - loss: 6.2739e-05 99/128 [======================>.......] - ETA: 0s - loss: 4.0751e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.1915e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 8.7666e-07 35/128 [=======>......................] - ETA: 0s - loss: 4.9622e-07 71/128 [===============>..............] - ETA: 0s - loss: 4.7321e-07 105/128 [=======================>......] - ETA: 0s - loss: 3.4637e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.8701e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 5.6315e-07 38/128 [=======>......................] - ETA: 0s - loss: 5.6850e-05 74/128 [================>.............] - ETA: 0s - loss: 2.9501e-05 108/128 [========================>.....] - ETA: 0s - loss: 2.0353e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.5498e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 4.8224e-07 38/128 [=======>......................] - ETA: 0s - loss: 5.7332e-07 78/128 [=================>............] - ETA: 0s - loss: 1.2719e-05 112/128 [=========================>....] - ETA: 0s - loss: 9.6113e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.2805e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 3.6669e-07 41/128 [========>.....................] - ETA: 0s - loss: 4.0738e-05 80/128 [=================>............] - ETA: 0s - loss: 2.1070e-05 115/128 [=========================>....] - ETA: 0s - loss: 2.2524e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.0438e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 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 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 24s - loss: 4.2643e-07 42/128 [========>.....................] - ETA: 0s - loss: 5.4620e-07  80/128 [=================>............] - ETA: 0s - loss: 7.1674e-07 115/128 [=========================>....] - ETA: 0s - loss: 2.6906e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.4544e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 5.0652e-07 26/128 [=====>........................] - ETA: 0s - loss: 7.1553e-07 47/128 [==========>...................] - ETA: 0s - loss: 6.4455e-07 85/128 [==================>...........] - ETA: 0s - loss: 8.2295e-07 124/128 [============================>.] - ETA: 0s - loss: 2.1976e-05 128/128 [==============================] - 0s 2ms/step - loss: 2.1451e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 3.5124e-07 36/128 [=======>......................] - ETA: 0s - loss: 6.3696e-07 57/128 [============>.................] - ETA: 0s - loss: 5.5692e-07 81/128 [=================>............] - ETA: 0s - loss: 7.0223e-07 118/128 [==========================>...] - ETA: 0s - loss: 2.0267e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.8850e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 3.1672e-07 39/128 [========>.....................] - ETA: 0s - loss: 4.1706e-07 73/128 [================>.............] - ETA: 0s - loss: 6.6956e-06 99/128 [======================>.......] - ETA: 0s - loss: 2.1151e-05 119/128 [==========================>...] - ETA: 0s - loss: 1.7715e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.6610e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 3.3973e-07 37/128 [=======>......................] - ETA: 0s - loss: 7.5012e-07 75/128 [================>.............] - ETA: 0s - loss: 1.9478e-05 110/128 [========================>.....] - ETA: 0s - loss: 1.6834e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.4634e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 0.0013 4/128 [..............................] - ETA: 2s - loss: 3.1656e-04 35/128 [=======>......................] - ETA: 0s - loss: 3.6668e-05 73/128 [================>.............] - ETA: 0s - loss: 2.2233e-05 112/128 [=========================>....] - ETA: 0s - loss: 1.4604e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.2902e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 3.2034e-07 26/128 [=====>........................] - ETA: 0s - loss: 3.8198e-07 47/128 [==========>...................] - ETA: 0s - loss: 2.4517e-05 86/128 [===================>..........] - ETA: 0s - loss: 1.6890e-05 125/128 [============================>.] - ETA: 0s - loss: 1.1706e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.1517e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.3214e-07 37/128 [=======>......................] - ETA: 0s - loss: 2.7855e-05 71/128 [===============>..............] - ETA: 0s - loss: 1.4630e-05 86/128 [===================>..........] - ETA: 0s - loss: 1.2121e-05 118/128 [==========================>...] - ETA: 0s - loss: 1.1056e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.0281e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.8316e-07 34/128 [======>.......................] - ETA: 0s - loss: 4.0559e-07 69/128 [===============>..............] - ETA: 0s - loss: 3.6740e-07 102/128 [======================>.......] - ETA: 0s - loss: 1.1402e-05 110/128 [========================>.....] - ETA: 0s - loss: 1.0588e-05 128/128 [==============================] - 0s 2ms/step - loss: 9.1901e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.7352e-07 39/128 [========>.....................] - ETA: 0s - loss: 5.5969e-06 76/128 [================>.............] - ETA: 0s - loss: 1.3639e-05 110/128 [========================>.....] - ETA: 0s - loss: 9.4809e-06 128/128 [==============================] - 0s 1ms/step - loss: 8.2285e-06 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 1 KNN fn, tp: 0, 11 KNN f1 score: 0.957 KNN cohens kappa score: 0.955 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 23s - loss: 4.9093e-04 35/128 [=======>......................] - ETA: 0s - loss: 4.9437e-04  72/128 [===============>..............] - ETA: 0s - loss: 4.4802e-04 104/128 [=======================>......] - ETA: 0s - loss: 4.3590e-04 128/128 [==============================] - 0s 1ms/step - loss: 4.5831e-04 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 4.7742e-09 35/128 [=======>......................] - ETA: 0s - loss: 3.5218e-04 69/128 [===============>..............] - ETA: 0s - loss: 3.9199e-04 103/128 [=======================>......] - ETA: 0s - loss: 3.8094e-04 128/128 [==============================] - 0s 1ms/step - loss: 3.9735e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 3.6939e-04 35/128 [=======>......................] - ETA: 0s - loss: 3.1224e-04 67/128 [==============>...............] - ETA: 0s - loss: 3.1046e-04 101/128 [======================>.......] - ETA: 0s - loss: 3.4528e-04 128/128 [==============================] - 0s 2ms/step - loss: 3.4705e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 3.2489e-04 35/128 [=======>......................] - ETA: 0s - loss: 2.5516e-04 70/128 [===============>..............] - ETA: 0s - loss: 3.5410e-04 104/128 [=======================>......] - ETA: 0s - loss: 3.2342e-04 128/128 [==============================] - 0s 1ms/step - loss: 3.0531e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.4188e-04 32/128 [======>.......................] - ETA: 0s - loss: 2.8290e-04 64/128 [==============>...............] - ETA: 0s - loss: 2.8828e-04 96/128 [=====================>........] - ETA: 0s - loss: 2.7575e-04 128/128 [==============================] - 0s 2ms/step - loss: 2.6935e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 3.7498e-04 34/128 [======>.......................] - ETA: 0s - loss: 2.4229e-04 68/128 [==============>...............] - ETA: 0s - loss: 2.2951e-04 101/128 [======================>.......] - ETA: 0s - loss: 2.0705e-04 128/128 [==============================] - 0s 2ms/step - loss: 2.3864e-04 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.1070e-04 34/128 [======>.......................] - ETA: 0s - loss: 1.6984e-04 68/128 [==============>...............] - ETA: 0s - loss: 1.9075e-04 99/128 [======================>.......] - ETA: 0s - loss: 2.0015e-04 128/128 [==============================] - 0s 2ms/step - loss: 2.1206e-04 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 9.7673e-05 33/128 [======>.......................] - ETA: 0s - loss: 2.0126e-04 65/128 [==============>...............] - ETA: 0s - loss: 2.1224e-04 99/128 [======================>.......] - ETA: 0s - loss: 2.0246e-04 128/128 [==============================] - 0s 2ms/step - loss: 1.8885e-04 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.6092e-04 38/128 [=======>......................] - ETA: 0s - loss: 1.3990e-04 72/128 [===============>..............] - ETA: 0s - loss: 1.4882e-04 105/128 [=======================>......] - ETA: 0s - loss: 1.5498e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.6895e-04 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.5492e-04 37/128 [=======>......................] - ETA: 0s - loss: 1.5664e-04 72/128 [===============>..............] - ETA: 0s - loss: 1.4295e-04 103/128 [=======================>......] - ETA: 0s - loss: 1.5894e-04 128/128 [==============================] - 0s 2ms/step - loss: 1.5139e-04 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 1 KNN fn, tp: 0, 11 KNN f1 score: 0.957 KNN cohens kappa score: 0.955 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1228 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 22s - loss: 6.9627e-04 36/128 [=======>......................] - ETA: 0s - loss: 2.1375e-05  71/128 [===============>..............] - ETA: 0s - loss: 1.3370e-05 105/128 [=======================>......] - ETA: 0s - loss: 6.7273e-05 128/128 [==============================] - 0s 1ms/step - loss: 7.4383e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.2404e-06 33/128 [======>.......................] - ETA: 0s - loss: 2.2566e-04 69/128 [===============>..............] - ETA: 0s - loss: 1.1017e-04 103/128 [=======================>......] - ETA: 0s - loss: 8.0251e-05 128/128 [==============================] - 0s 1ms/step - loss: 6.5821e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 9.2934e-07 37/128 [=======>......................] - ETA: 0s - loss: 4.7460e-05 72/128 [===============>..............] - ETA: 0s - loss: 3.3912e-05 106/128 [=======================>......] - ETA: 0s - loss: 6.9745e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.8358e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 7.2964e-07 36/128 [=======>......................] - ETA: 0s - loss: 1.2649e-04 73/128 [================>.............] - ETA: 0s - loss: 7.0538e-05 110/128 [========================>.....] - ETA: 0s - loss: 5.9959e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.1979e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 8.9219e-07 37/128 [=======>......................] - ETA: 0s - loss: 3.4264e-05 71/128 [===============>..............] - ETA: 0s - loss: 1.8463e-05 107/128 [========================>.....] - ETA: 0s - loss: 5.4333e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.6461e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 3.5158e-07 38/128 [=======>......................] - ETA: 0s - loss: 3.8541e-06 76/128 [================>.............] - ETA: 0s - loss: 2.5524e-06 113/128 [=========================>....] - ETA: 0s - loss: 4.6748e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.1592e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 3.9188e-07 37/128 [=======>......................] - ETA: 0s - loss: 1.0811e-05 71/128 [===============>..............] - ETA: 0s - loss: 1.8774e-05 102/128 [======================>.......] - ETA: 0s - loss: 4.6292e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.7322e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 4.1669e-07 32/128 [======>.......................] - ETA: 0s - loss: 2.1383e-06 68/128 [==============>...............] - ETA: 0s - loss: 6.2328e-05 107/128 [========================>.....] - ETA: 0s - loss: 4.0084e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.3826e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 4.3142e-07 40/128 [========>.....................] - ETA: 0s - loss: 8.6649e-05 77/128 [=================>............] - ETA: 0s - loss: 4.9360e-05 113/128 [=========================>....] - ETA: 0s - loss: 3.4340e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.0551e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 4.8197e-07 36/128 [=======>......................] - ETA: 0s - loss: 1.9091e-05 72/128 [===============>..............] - ETA: 0s - loss: 9.8778e-06 110/128 [========================>.....] - ETA: 0s - loss: 9.1965e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.7694e-05 -> test with GAN.predict GAN tn, fp: 317, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 317, 0 LR fn, tp: 0, 9 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 317, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 317, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 0 KNN fn, tp: 0, 9 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 20s - loss: 5.2786e-07 14/128 [==>...........................] - ETA: 0s - loss: 2.1841e-06  47/128 [==========>...................] - ETA: 0s - loss: 1.1741e-06 85/128 [==================>...........] - ETA: 0s - loss: 8.6378e-06 119/128 [==========================>...] - ETA: 0s - loss: 6.3993e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.1183e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.5614e-07 30/128 [======>.......................] - ETA: 0s - loss: 1.9369e-05 41/128 [========>.....................] - ETA: 0s - loss: 1.4488e-05 65/128 [==============>...............] - ETA: 0s - loss: 9.4811e-06 103/128 [=======================>......] - ETA: 0s - loss: 6.2727e-06 128/128 [==============================] - 0s 2ms/step - loss: 9.6690e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 5.3489e-04 35/128 [=======>......................] - ETA: 0s - loss: 1.6215e-05 62/128 [=============>................] - ETA: 0s - loss: 9.4174e-06 83/128 [==================>...........] - ETA: 0s - loss: 7.2078e-06 116/128 [==========================>...] - ETA: 0s - loss: 9.3884e-06 128/128 [==============================] - 0s 2ms/step - loss: 8.6523e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.1711e-06 35/128 [=======>......................] - ETA: 0s - loss: 5.8691e-07 70/128 [===============>..............] - ETA: 0s - loss: 7.3062e-07 97/128 [=====================>........] - ETA: 0s - loss: 9.6579e-06 115/128 [=========================>....] - ETA: 0s - loss: 8.2008e-06 128/128 [==============================] - 0s 2ms/step - loss: 7.4535e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 3.9541e-07 37/128 [=======>......................] - ETA: 0s - loss: 6.8523e-07 74/128 [================>.............] - ETA: 0s - loss: 1.0969e-05 107/128 [========================>.....] - ETA: 0s - loss: 7.7213e-06 128/128 [==============================] - 0s 1ms/step - loss: 6.5497e-06 Epoch 6/10 1/128 [..............................] - ETA: 1s - loss: 4.2674e-07 19/128 [===>..........................] - ETA: 0s - loss: 5.1622e-07 56/128 [============>.................] - ETA: 0s - loss: 4.7672e-07 92/128 [====================>.........] - ETA: 0s - loss: 7.8239e-06 124/128 [============================>.] - ETA: 0s - loss: 5.9373e-06 128/128 [==============================] - 0s 2ms/step - loss: 5.8194e-06 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 9.4706e-08 29/128 [=====>........................] - ETA: 0s - loss: 1.1224e-05 43/128 [=========>....................] - ETA: 0s - loss: 7.7280e-06 81/128 [=================>............] - ETA: 0s - loss: 7.8523e-06 119/128 [==========================>...] - ETA: 0s - loss: 5.5309e-06 128/128 [==============================] - 0s 2ms/step - loss: 5.1960e-06 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.3276e-07 34/128 [======>.......................] - ETA: 0s - loss: 8.2718e-06 68/128 [==============>...............] - ETA: 0s - loss: 4.3064e-06 84/128 [==================>...........] - ETA: 0s - loss: 6.8018e-06 121/128 [===========================>..] - ETA: 0s - loss: 4.8819e-06 128/128 [==============================] - 0s 2ms/step - loss: 4.6605e-06 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.2066e-07 39/128 [========>.....................] - ETA: 0s - loss: 1.2888e-05 72/128 [===============>..............] - ETA: 0s - loss: 7.1290e-06 99/128 [======================>.......] - ETA: 0s - loss: 5.3078e-06 114/128 [=========================>....] - ETA: 0s - loss: 4.6411e-06 128/128 [==============================] - 0s 2ms/step - loss: 4.1903e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.4924e-07 37/128 [=======>......................] - ETA: 0s - loss: 2.7773e-07 73/128 [================>.............] - ETA: 0s - loss: 3.4196e-06 104/128 [=======================>......] - ETA: 0s - loss: 4.5070e-06 128/128 [==============================] - 0s 1ms/step - loss: 3.7784e-06 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 24s - loss: 5.5512e-06 38/128 [=======>......................] - ETA: 0s - loss: 4.0048e-06  74/128 [================>.............] - ETA: 0s - loss: 5.7812e-06 111/128 [=========================>....] - ETA: 0s - loss: 4.4779e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.9599e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 4.3547e-06 37/128 [=======>......................] - ETA: 0s - loss: 4.9741e-06 72/128 [===============>..............] - ETA: 0s - loss: 1.6270e-05 110/128 [========================>.....] - ETA: 0s - loss: 1.2160e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.4434e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.9445e-06 38/128 [=======>......................] - ETA: 0s - loss: 6.3300e-06 75/128 [================>.............] - ETA: 0s - loss: 4.0816e-05 113/128 [=========================>....] - ETA: 0s - loss: 3.3943e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.0505e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.0702e-06 37/128 [=======>......................] - ETA: 0s - loss: 3.5843e-06 73/128 [================>.............] - ETA: 0s - loss: 1.1886e-05 108/128 [========================>.....] - ETA: 0s - loss: 3.0779e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.7368e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 6.2175e-05 39/128 [========>.....................] - ETA: 0s - loss: 5.8896e-06 75/128 [================>.............] - ETA: 0s - loss: 1.1135e-05 111/128 [=========================>....] - ETA: 0s - loss: 2.7741e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.4515e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.4422e-06 37/128 [=======>......................] - ETA: 0s - loss: 3.2786e-06 71/128 [===============>..............] - ETA: 0s - loss: 3.6315e-06 108/128 [========================>.....] - ETA: 0s - loss: 2.1218e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.2083e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.5627e-06 37/128 [=======>......................] - ETA: 0s - loss: 5.9829e-05 74/128 [================>.............] - ETA: 0s - loss: 3.2019e-05 111/128 [=========================>....] - ETA: 0s - loss: 2.2439e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.9872e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.8434e-06 38/128 [=======>......................] - ETA: 0s - loss: 1.9993e-06 74/128 [================>.............] - ETA: 0s - loss: 7.5614e-06 109/128 [========================>.....] - ETA: 0s - loss: 6.3260e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.7910e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.6917e-06 37/128 [=======>......................] - ETA: 0s - loss: 2.7480e-06 74/128 [================>.............] - ETA: 0s - loss: 2.8328e-06 111/128 [=========================>....] - ETA: 0s - loss: 1.8065e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.6246e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.4263e-06 35/128 [=======>......................] - ETA: 0s - loss: 2.1112e-06 73/128 [================>.............] - ETA: 0s - loss: 2.4339e-06 109/128 [========================>.....] - ETA: 0s - loss: 4.7932e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.4710e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 317, 1 LR fn, tp: 0, 11 LR f1 score: 0.957 LR cohens kappa score: 0.955 LR average precision score: 0.917 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 1 KNN fn, tp: 0, 11 KNN f1 score: 0.957 KNN cohens kappa score: 0.955 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 27s - loss: 6.7425e-07 37/128 [=======>......................] - ETA: 0s - loss: 0.0020  75/128 [================>.............] - ETA: 0s - loss: 0.0014 111/128 [=========================>....] - ETA: 0s - loss: 0.0018 128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 3.6906e-07 33/128 [======>.......................] - ETA: 0s - loss: 1.5971e-04 40/128 [========>.....................] - ETA: 0s - loss: 1.3182e-04 75/128 [================>.............] - ETA: 0s - loss: 9.3395e-04 111/128 [=========================>....] - ETA: 0s - loss: 0.0018  128/128 [==============================] - 0s 2ms/step - loss: 0.0016 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 0.0317 37/128 [=======>......................] - ETA: 0s - loss: 0.0035 68/128 [==============>...............] - ETA: 0s - loss: 0.0024 85/128 [==================>...........] - ETA: 0s - loss: 0.0019 123/128 [===========================>..] - ETA: 0s - loss: 0.0016 128/128 [==============================] - 0s 2ms/step - loss: 0.0015 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.6000e-08 38/128 [=======>......................] - ETA: 0s - loss: 8.1061e-04 73/128 [================>.............] - ETA: 0s - loss: 0.0021  106/128 [=======================>......] - ETA: 0s - loss: 0.0015 112/128 [=========================>....] - ETA: 0s - loss: 0.0014 128/128 [==============================] - 0s 2ms/step - loss: 0.0015 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.3204e-08 39/128 [========>.....................] - ETA: 0s - loss: 8.5746e-04 76/128 [================>.............] - ETA: 0s - loss: 8.3137e-04 106/128 [=======================>......] - ETA: 0s - loss: 0.0014  128/128 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.0930e-08 11/128 [=>............................] - ETA: 0s - loss: 0.0026  36/128 [=======>......................] - ETA: 0s - loss: 8.0242e-04 73/128 [================>.............] - ETA: 0s - loss: 0.0016  110/128 [========================>.....] - ETA: 0s - loss: 0.0016 128/128 [==============================] - 0s 2ms/step - loss: 0.0014 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 9.3791e-10 31/128 [======>.......................] - ETA: 0s - loss: 0.0027  53/128 [===========>..................] - ETA: 0s - loss: 0.0021 90/128 [====================>.........] - ETA: 0s - loss: 0.0016 125/128 [============================>.] - ETA: 0s - loss: 0.0013 128/128 [==============================] - 0s 2ms/step - loss: 0.0013 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.1702e-10 35/128 [=======>......................] - ETA: 0s - loss: 0.0015  55/128 [===========>..................] - ETA: 0s - loss: 9.5487e-04 78/128 [=================>............] - ETA: 0s - loss: 0.0010  116/128 [==========================>...] - ETA: 0s - loss: 0.0011 128/128 [==============================] - 0s 2ms/step - loss: 0.0012 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.9045e-11 40/128 [========>.....................] - ETA: 0s - loss: 6.2075e-04 75/128 [================>.............] - ETA: 0s - loss: 0.0010  98/128 [=====================>........] - ETA: 0s - loss: 0.0010 116/128 [==========================>...] - ETA: 0s - loss: 0.0013 128/128 [==============================] - 0s 2ms/step - loss: 0.0012 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 6.3496e-12 37/128 [=======>......................] - ETA: 0s - loss: 0.0012  74/128 [================>.............] - ETA: 0s - loss: 9.2984e-04 108/128 [========================>.....] - ETA: 0s - loss: 8.6309e-04 127/128 [============================>.] - ETA: 0s - loss: 0.0011  128/128 [==============================] - 0s 2ms/step - loss: 0.0011 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 1 KNN fn, tp: 0, 11 KNN f1 score: 0.957 KNN cohens kappa score: 0.955 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 21s - loss: 1.0948e-06 37/128 [=======>......................] - ETA: 0s - loss: 2.0263e-05  76/128 [================>.............] - ETA: 0s - loss: 4.7133e-05 113/128 [=========================>....] - ETA: 0s - loss: 1.0133e-04 128/128 [==============================] - 0s 1ms/step - loss: 9.0686e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.6427e-07 39/128 [========>.....................] - ETA: 0s - loss: 7.9301e-07 77/128 [=================>............] - ETA: 0s - loss: 3.8978e-05 114/128 [=========================>....] - ETA: 0s - loss: 2.8320e-05 128/128 [==============================] - 0s 1ms/step - loss: 8.1260e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 7.5155e-07 38/128 [=======>......................] - ETA: 0s - loss: 1.7477e-04 74/128 [================>.............] - ETA: 0s - loss: 1.2399e-04 111/128 [=========================>....] - ETA: 0s - loss: 8.2869e-05 128/128 [==============================] - 0s 1ms/step - loss: 7.2694e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 6.2258e-07 37/128 [=======>......................] - ETA: 0s - loss: 5.0285e-05 73/128 [================>.............] - ETA: 0s - loss: 1.1333e-04 105/128 [=======================>......] - ETA: 0s - loss: 7.8941e-05 128/128 [==============================] - 0s 1ms/step - loss: 6.5318e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.2532e-07 35/128 [=======>......................] - ETA: 0s - loss: 1.6482e-06 72/128 [===============>..............] - ETA: 0s - loss: 8.1191e-05 106/128 [=======================>......] - ETA: 0s - loss: 7.0616e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.8968e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 4.5233e-07 37/128 [=======>......................] - ETA: 0s - loss: 1.2942e-04 74/128 [================>.............] - ETA: 0s - loss: 8.8927e-05 112/128 [=========================>....] - ETA: 0s - loss: 5.9782e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.2716e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.8480e-07 36/128 [=======>......................] - ETA: 0s - loss: 1.2326e-04 66/128 [==============>...............] - ETA: 0s - loss: 7.3659e-05 99/128 [======================>.......] - ETA: 0s - loss: 6.0952e-05 128/128 [==============================] - 0s 2ms/step - loss: 4.7542e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.4968e-07 39/128 [========>.....................] - ETA: 0s - loss: 1.1074e-04 74/128 [================>.............] - ETA: 0s - loss: 5.9379e-05 111/128 [=========================>....] - ETA: 0s - loss: 3.9700e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.2440e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 7.6535e-08 39/128 [========>.....................] - ETA: 0s - loss: 1.0112e-04 76/128 [================>.............] - ETA: 0s - loss: 5.2108e-05 112/128 [=========================>....] - ETA: 0s - loss: 4.2871e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.7812e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.9637e-07 37/128 [=======>......................] - ETA: 0s - loss: 2.8614e-05 75/128 [================>.............] - ETA: 0s - loss: 1.4234e-05 110/128 [========================>.....] - ETA: 0s - loss: 3.8727e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.3545e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1228 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 20s - loss: 8.3567e-09 30/128 [======>.......................] - ETA: 0s - loss: 1.0271e-07  41/128 [========>.....................] - ETA: 0s - loss: 7.7492e-08 78/128 [=================>............] - ETA: 0s - loss: 7.1361e-07 114/128 [=========================>....] - ETA: 0s - loss: 3.9163e-06 128/128 [==============================] - 0s 2ms/step - loss: 3.5396e-06 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 4.8121e-05 35/128 [=======>......................] - ETA: 0s - loss: 2.1694e-06 67/128 [==============>...............] - ETA: 0s - loss: 5.7481e-06 78/128 [=================>............] - ETA: 0s - loss: 4.9386e-06 116/128 [==========================>...] - ETA: 0s - loss: 3.3551e-06 128/128 [==============================] - 0s 2ms/step - loss: 3.0603e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 9.6696e-07 38/128 [=======>......................] - ETA: 0s - loss: 4.4006e-08 72/128 [===============>..............] - ETA: 0s - loss: 6.7951e-07 102/128 [======================>.......] - ETA: 0s - loss: 3.2146e-06 110/128 [========================>.....] - ETA: 0s - loss: 2.9814e-06 128/128 [==============================] - 0s 2ms/step - loss: 2.5919e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.5427e-07 39/128 [========>.....................] - ETA: 0s - loss: 1.3308e-08 75/128 [================>.............] - ETA: 0s - loss: 3.1799e-06 110/128 [========================>.....] - ETA: 0s - loss: 2.4836e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.2464e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 9.2976e-09 26/128 [=====>........................] - ETA: 0s - loss: 7.8555e-06 39/128 [========>.....................] - ETA: 0s - loss: 5.2694e-06 79/128 [=================>............] - ETA: 0s - loss: 2.6538e-06 114/128 [=========================>....] - ETA: 0s - loss: 2.1072e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.9726e-06 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 5.1480e-09 38/128 [=======>......................] - ETA: 0s - loss: 3.5399e-08 70/128 [===============>..............] - ETA: 0s - loss: 2.1713e-08 85/128 [==================>...........] - ETA: 0s - loss: 1.8857e-08 108/128 [========================>.....] - ETA: 0s - loss: 1.7862e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.7474e-06 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 5.8750e-09 37/128 [=======>......................] - ETA: 0s - loss: 9.0816e-08 75/128 [================>.............] - ETA: 0s - loss: 2.6227e-06 106/128 [=======================>......] - ETA: 0s - loss: 1.8576e-06 127/128 [============================>.] - ETA: 0s - loss: 1.5523e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.5499e-06 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 5.3029e-09 22/128 [====>.........................] - ETA: 0s - loss: 7.0065e-06 59/128 [============>.................] - ETA: 0s - loss: 2.6274e-06 96/128 [=====================>........] - ETA: 0s - loss: 1.6171e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.3868e-06 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 6.4541e-09 34/128 [======>.......................] - ETA: 0s - loss: 7.2112e-08 45/128 [=========>....................] - ETA: 0s - loss: 5.5762e-08 65/128 [==============>...............] - ETA: 0s - loss: 2.3539e-06 94/128 [=====================>........] - ETA: 0s - loss: 1.6931e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.2544e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 4.5064e-09 37/128 [=======>......................] - ETA: 0s - loss: 5.3709e-09 68/128 [==============>...............] - ETA: 0s - loss: 9.5874e-08 87/128 [===================>..........] - ETA: 0s - loss: 1.4544e-06 104/128 [=======================>......] - ETA: 0s - loss: 1.3687e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.1200e-06 -> test with GAN.predict GAN tn, fp: 317, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 317, 0 LR fn, tp: 0, 9 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 317, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 317, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 0 KNN fn, tp: 0, 9 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 22s - loss: 6.4172e-06 33/128 [======>.......................] - ETA: 0s - loss: 1.1014e-04  45/128 [=========>....................] - ETA: 0s - loss: 8.4429e-05 86/128 [===================>..........] - ETA: 0s - loss: 5.1229e-05 126/128 [============================>.] - ETA: 0s - loss: 3.7744e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.7446e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 8.3987e-06 37/128 [=======>......................] - ETA: 0s - loss: 7.2181e-06 73/128 [================>.............] - ETA: 0s - loss: 5.0390e-05 84/128 [==================>...........] - ETA: 0s - loss: 4.8075e-05 113/128 [=========================>....] - ETA: 0s - loss: 3.7201e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.4024e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 4.8990e-06 34/128 [======>.......................] - ETA: 0s - loss: 9.0852e-05 68/128 [==============>...............] - ETA: 0s - loss: 4.8482e-05 101/128 [======================>.......] - ETA: 0s - loss: 3.8118e-05 119/128 [==========================>...] - ETA: 0s - loss: 3.3107e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.1373e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 4.9627e-06 40/128 [========>.....................] - ETA: 0s - loss: 7.9449e-05 75/128 [================>.............] - ETA: 0s - loss: 4.5436e-05 114/128 [=========================>....] - ETA: 0s - loss: 3.1684e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.8975e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 6.8262e-06 37/128 [=======>......................] - ETA: 0s - loss: 4.8339e-06 52/128 [===========>..................] - ETA: 0s - loss: 6.2387e-06 78/128 [=================>............] - ETA: 0s - loss: 5.7951e-06 117/128 [==========================>...] - ETA: 0s - loss: 7.3301e-06 128/128 [==============================] - 0s 2ms/step - loss: 2.6656e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 3.1619e-06 40/128 [========>.....................] - ETA: 0s - loss: 1.1883e-05 75/128 [================>.............] - ETA: 0s - loss: 8.2036e-06 98/128 [=====================>........] - ETA: 0s - loss: 7.3945e-06 111/128 [=========================>....] - ETA: 0s - loss: 7.0594e-06 128/128 [==============================] - 0s 2ms/step - loss: 2.4553e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 3.6345e-06 41/128 [========>.....................] - ETA: 0s - loss: 4.0407e-06 79/128 [=================>............] - ETA: 0s - loss: 3.1384e-05 115/128 [=========================>....] - ETA: 0s - loss: 2.2772e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.2565e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.5181e-06 17/128 [==>...........................] - ETA: 0s - loss: 3.8279e-06 45/128 [=========>....................] - ETA: 0s - loss: 4.7779e-05 84/128 [==================>...........] - ETA: 0s - loss: 2.7096e-05 123/128 [===========================>..] - ETA: 0s - loss: 2.1304e-05 128/128 [==============================] - 0s 2ms/step - loss: 2.0819e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.4167e-06 39/128 [========>.....................] - ETA: 0s - loss: 5.0203e-05 76/128 [================>.............] - ETA: 0s - loss: 2.7122e-05 84/128 [==================>...........] - ETA: 0s - loss: 2.4937e-05 116/128 [==========================>...] - ETA: 0s - loss: 1.9216e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.9200e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.7663e-06 34/128 [======>.......................] - ETA: 0s - loss: 5.3343e-05 71/128 [===============>..............] - ETA: 0s - loss: 2.7431e-05 106/128 [=======================>......] - ETA: 0s - loss: 2.0670e-05 124/128 [============================>.] - ETA: 0s - loss: 1.8121e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.7736e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 317, 1 LR fn, tp: 0, 11 LR f1 score: 0.957 LR cohens kappa score: 0.955 LR average precision score: 0.917 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 1 KNN fn, tp: 0, 11 KNN f1 score: 0.957 KNN cohens kappa score: 0.955 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 21s - loss: 3.9808e-04 36/128 [=======>......................] - ETA: 0s - loss: 7.3589e-04  71/128 [===============>..............] - ETA: 0s - loss: 7.5167e-04 106/128 [=======================>......] - ETA: 0s - loss: 6.5896e-04 128/128 [==============================] - 0s 1ms/step - loss: 6.4389e-04 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 5.8684e-04 38/128 [=======>......................] - ETA: 0s - loss: 4.9313e-04 76/128 [================>.............] - ETA: 0s - loss: 5.3630e-04 113/128 [=========================>....] - ETA: 0s - loss: 4.9938e-04 128/128 [==============================] - 0s 1ms/step - loss: 4.8962e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 4.5189e-04 39/128 [========>.....................] - ETA: 0s - loss: 4.8043e-04 74/128 [================>.............] - ETA: 0s - loss: 4.3822e-04 110/128 [========================>.....] - ETA: 0s - loss: 3.8899e-04 128/128 [==============================] - 0s 1ms/step - loss: 3.8069e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.4751e-09 38/128 [=======>......................] - ETA: 0s - loss: 2.6716e-04 74/128 [================>.............] - ETA: 0s - loss: 2.8598e-04 110/128 [========================>.....] - ETA: 0s - loss: 3.1039e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.9899e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.4011e-04 36/128 [=======>......................] - ETA: 0s - loss: 2.6235e-04 74/128 [================>.............] - ETA: 0s - loss: 2.5303e-04 109/128 [========================>.....] - ETA: 0s - loss: 2.3731e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.4019e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.2781e-04 37/128 [=======>......................] - ETA: 0s - loss: 1.9182e-04 73/128 [================>.............] - ETA: 0s - loss: 2.0428e-04 110/128 [========================>.....] - ETA: 0s - loss: 1.9890e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.9438e-04 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.7776e-04 34/128 [======>.......................] - ETA: 0s - loss: 1.7558e-04 69/128 [===============>..............] - ETA: 0s - loss: 1.7510e-04 105/128 [=======================>......] - ETA: 0s - loss: 1.6545e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.6054e-04 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.5466e-04 36/128 [=======>......................] - ETA: 0s - loss: 1.4480e-04 72/128 [===============>..............] - ETA: 0s - loss: 1.4424e-04 107/128 [========================>.....] - ETA: 0s - loss: 1.3749e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.3440e-04 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.2983e-04 30/128 [======>.......................] - ETA: 0s - loss: 1.2753e-04 62/128 [=============>................] - ETA: 0s - loss: 1.2079e-04 93/128 [====================>.........] - ETA: 0s - loss: 1.1838e-04 127/128 [============================>.] - ETA: 0s - loss: 1.1348e-04 128/128 [==============================] - 0s 2ms/step - loss: 1.1339e-04 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.0996e-04 38/128 [=======>......................] - ETA: 0s - loss: 9.3665e-05 75/128 [================>.............] - ETA: 0s - loss: 9.8965e-05 115/128 [=========================>....] - ETA: 0s - loss: 9.7905e-05 128/128 [==============================] - 0s 1ms/step - loss: 9.6414e-05 -> test with GAN.predict GAN tn, fp: 316, 2 GAN fn, tp: 0, 11 GAN f1 score: 0.917 GAN cohens kappa score: 0.914 -> test with 'LR' LR tn, fp: 316, 2 LR fn, tp: 0, 11 LR f1 score: 0.917 LR cohens kappa score: 0.914 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 315, 3 GB fn, tp: 0, 11 GB f1 score: 0.880 GB cohens kappa score: 0.875 -> test with 'KNN' KNN tn, fp: 316, 2 KNN fn, tp: 0, 11 KNN f1 score: 0.917 KNN cohens kappa score: 0.914 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 21s - loss: 2.8972e-07 39/128 [========>.....................] - ETA: 0s - loss: 2.7105e-07  77/128 [=================>............] - ETA: 0s - loss: 1.1551e-05 115/128 [=========================>....] - ETA: 0s - loss: 2.1925e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.9861e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.4401e-07 39/128 [========>.....................] - ETA: 0s - loss: 1.9466e-05 79/128 [=================>............] - ETA: 0s - loss: 2.8159e-05 117/128 [==========================>...] - ETA: 0s - loss: 1.9094e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.7595e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.4525e-07 39/128 [========>.....................] - ETA: 0s - loss: 1.6942e-05 76/128 [================>.............] - ETA: 0s - loss: 8.8159e-06 114/128 [=========================>....] - ETA: 0s - loss: 1.7442e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.5665e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.2232e-07 39/128 [========>.....................] - ETA: 0s - loss: 3.1265e-05 76/128 [================>.............] - ETA: 0s - loss: 2.3314e-05 113/128 [=========================>....] - ETA: 0s - loss: 1.5736e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.4012e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.0434e-07 38/128 [=======>......................] - ETA: 0s - loss: 4.1916e-05 76/128 [================>.............] - ETA: 0s - loss: 2.1051e-05 115/128 [=========================>....] - ETA: 0s - loss: 1.3968e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.2652e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 6.4544e-08 39/128 [========>.....................] - ETA: 0s - loss: 2.5802e-05 76/128 [================>.............] - ETA: 0s - loss: 1.3312e-05 108/128 [========================>.....] - ETA: 0s - loss: 9.4088e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.1312e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.4188e-07 38/128 [=======>......................] - ETA: 0s - loss: 3.3929e-05 76/128 [================>.............] - ETA: 0s - loss: 1.7037e-05 114/128 [=========================>....] - ETA: 0s - loss: 1.1403e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.0240e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.4200e-07 40/128 [========>.....................] - ETA: 0s - loss: 2.0888e-05 79/128 [=================>............] - ETA: 0s - loss: 1.0634e-05 117/128 [==========================>...] - ETA: 0s - loss: 9.9848e-06 128/128 [==============================] - 0s 1ms/step - loss: 9.2005e-06 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.0294e-07 39/128 [========>.....................] - ETA: 0s - loss: 7.7266e-06 76/128 [================>.............] - ETA: 0s - loss: 4.0171e-06 110/128 [========================>.....] - ETA: 0s - loss: 2.8110e-06 128/128 [==============================] - 0s 1ms/step - loss: 8.2877e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 9.9738e-08 39/128 [========>.....................] - ETA: 0s - loss: 8.3227e-08 76/128 [================>.............] - ETA: 0s - loss: 9.0967e-06 114/128 [=========================>....] - ETA: 0s - loss: 8.2854e-06 128/128 [==============================] - 0s 1ms/step - loss: 7.4379e-06 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 22s - loss: 1.6637e-07 37/128 [=======>......................] - ETA: 0s - loss: 1.0972e-04  75/128 [================>.............] - ETA: 0s - loss: 5.7542e-05 113/128 [=========================>....] - ETA: 0s - loss: 3.8338e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.7856e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.8191e-07 33/128 [======>.......................] - ETA: 0s - loss: 1.0938e-04 70/128 [===============>..............] - ETA: 0s - loss: 5.1862e-05 110/128 [========================>.....] - ETA: 0s - loss: 3.8873e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.4212e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 4.6768e-08 40/128 [========>.....................] - ETA: 0s - loss: 1.8564e-06 77/128 [=================>............] - ETA: 0s - loss: 1.4094e-06 115/128 [=========================>....] - ETA: 0s - loss: 3.2901e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.1097e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.9542e-07 37/128 [=======>......................] - ETA: 0s - loss: 8.6927e-05 77/128 [=================>............] - ETA: 0s - loss: 4.1920e-05 117/128 [==========================>...] - ETA: 0s - loss: 3.0550e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.8133e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.1516e-07 39/128 [========>.....................] - ETA: 0s - loss: 5.2133e-07 77/128 [=================>............] - ETA: 0s - loss: 3.7795e-05 112/128 [=========================>....] - ETA: 0s - loss: 2.8679e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.5317e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.1931e-07 39/128 [========>.....................] - ETA: 0s - loss: 3.5452e-06 77/128 [=================>............] - ETA: 0s - loss: 2.3763e-06 114/128 [=========================>....] - ETA: 0s - loss: 4.0941e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.2897e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 5.9272e-08 40/128 [========>.....................] - ETA: 0s - loss: 3.1246e-06 78/128 [=================>............] - ETA: 0s - loss: 3.3558e-05 116/128 [==========================>...] - ETA: 0s - loss: 2.2603e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.0865e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 8.3116e-08 37/128 [=======>......................] - ETA: 0s - loss: 5.5439e-05 75/128 [================>.............] - ETA: 0s - loss: 3.0292e-05 114/128 [=========================>....] - ETA: 0s - loss: 2.0959e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.8824e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.2916e-07 33/128 [======>.......................] - ETA: 0s - loss: 5.6843e-05 64/128 [==============>...............] - ETA: 0s - loss: 3.2363e-05 95/128 [=====================>........] - ETA: 0s - loss: 2.2056e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.7129e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 7.9524e-08 38/128 [=======>......................] - ETA: 0s - loss: 4.5083e-05 71/128 [===============>..............] - ETA: 0s - loss: 2.6590e-05 102/128 [======================>.......] - ETA: 0s - loss: 1.9201e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.5554e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1228 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 22s - loss: 1.9324e-06 41/128 [========>.....................] - ETA: 0s - loss: 8.8475e-04  79/128 [=================>............] - ETA: 0s - loss: 0.0018  116/128 [==========================>...] - ETA: 0s - loss: 0.0012 128/128 [==============================] - 0s 1ms/step - loss: 0.0017 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.6399e-07 39/128 [========>.....................] - ETA: 0s - loss: 8.7300e-04 74/128 [================>.............] - ETA: 0s - loss: 0.0023  108/128 [========================>.....] - ETA: 0s - loss: 0.0016 128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.2744e-06 38/128 [=======>......................] - ETA: 0s - loss: 9.0571e-04 77/128 [=================>............] - ETA: 0s - loss: 0.0013  115/128 [=========================>....] - ETA: 0s - loss: 0.0015 128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 9.5722e-07 40/128 [========>.....................] - ETA: 0s - loss: 8.4063e-04 78/128 [=================>............] - ETA: 0s - loss: 0.0021  117/128 [==========================>...] - ETA: 0s - loss: 0.0017 128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.6555e-07 34/128 [======>.......................] - ETA: 0s - loss: 9.4843e-04 72/128 [===============>..............] - ETA: 0s - loss: 0.0022  109/128 [========================>.....] - ETA: 0s - loss: 0.0015 128/128 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.4360e-07 36/128 [=======>......................] - ETA: 0s - loss: 9.1073e-04 69/128 [===============>..............] - ETA: 0s - loss: 9.2915e-04 100/128 [======================>.......] - ETA: 0s - loss: 0.0016  128/128 [==============================] - 0s 2ms/step - loss: 0.0015 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 4.6657e-08 38/128 [=======>......................] - ETA: 0s - loss: 8.5000e-04 76/128 [================>.............] - ETA: 0s - loss: 8.2563e-04 114/128 [=========================>....] - ETA: 0s - loss: 0.0011  128/128 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.7788e-08 39/128 [========>.....................] - ETA: 0s - loss: 3.8435e-05 70/128 [===============>..............] - ETA: 0s - loss: 0.0013  101/128 [======================>.......] - ETA: 0s - loss: 8.8986e-04 128/128 [==============================] - 0s 2ms/step - loss: 0.0014 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.0919e-08 39/128 [========>.....................] - ETA: 0s - loss: 0.0015  76/128 [================>.............] - ETA: 0s - loss: 0.0015 112/128 [=========================>....] - ETA: 0s - loss: 0.0013 128/128 [==============================] - 0s 1ms/step - loss: 0.0013 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.0529e-08 42/128 [========>.....................] - ETA: 0s - loss: 0.0013  79/128 [=================>............] - ETA: 0s - loss: 0.0010 118/128 [==========================>...] - ETA: 0s - loss: 0.0014 128/128 [==============================] - 0s 1ms/step - loss: 0.0013 -> test with GAN.predict GAN tn, fp: 317, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 317, 0 LR fn, tp: 0, 9 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 317, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 317, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 0 KNN fn, tp: 0, 9 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 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 25s - loss: 9.0527e-04 39/128 [========>.....................] - ETA: 0s - loss: 5.1207e-04  71/128 [===============>..............] - ETA: 0s - loss: 5.4757e-04 105/128 [=======================>......] - ETA: 0s - loss: 5.7521e-04 128/128 [==============================] - 0s 1ms/step - loss: 5.5083e-04 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 7.7463e-04 35/128 [=======>......................] - ETA: 0s - loss: 5.3303e-04 67/128 [==============>...............] - ETA: 0s - loss: 5.1169e-04 99/128 [======================>.......] - ETA: 0s - loss: 4.9738e-04 128/128 [==============================] - 0s 2ms/step - loss: 4.7440e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.2201e-04 29/128 [=====>........................] - ETA: 0s - loss: 4.2175e-04 61/128 [=============>................] - ETA: 0s - loss: 4.5763e-04 98/128 [=====================>........] - ETA: 0s - loss: 4.2640e-04 128/128 [==============================] - 0s 2ms/step - loss: 4.1000e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 9.5902e-04 36/128 [=======>......................] - ETA: 0s - loss: 3.6291e-04 68/128 [==============>...............] - ETA: 0s - loss: 4.1943e-04 105/128 [=======================>......] - ETA: 0s - loss: 3.8675e-04 128/128 [==============================] - 0s 1ms/step - loss: 3.5595e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 3.3100e-04 36/128 [=======>......................] - ETA: 0s - loss: 3.3415e-04 70/128 [===============>..............] - ETA: 0s - loss: 3.0157e-04 104/128 [=======================>......] - ETA: 0s - loss: 3.0068e-04 128/128 [==============================] - 0s 2ms/step - loss: 3.1058e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.8986e-04 36/128 [=======>......................] - ETA: 0s - loss: 2.5857e-04 75/128 [================>.............] - ETA: 0s - loss: 2.8344e-04 106/128 [=======================>......] - ETA: 0s - loss: 2.8321e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.7106e-04 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.2593e-04 38/128 [=======>......................] - ETA: 0s - loss: 2.7764e-04 72/128 [===============>..............] - ETA: 0s - loss: 2.6421e-04 107/128 [========================>.....] - ETA: 0s - loss: 2.4767e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.3842e-04 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.9423e-04 35/128 [=======>......................] - ETA: 0s - loss: 1.9234e-04 70/128 [===============>..............] - ETA: 0s - loss: 2.0874e-04 106/128 [=======================>......] - ETA: 0s - loss: 2.1452e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.1077e-04 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.9291e-04 35/128 [=======>......................] - ETA: 0s - loss: 2.2425e-04 72/128 [===============>..............] - ETA: 0s - loss: 1.8780e-04 107/128 [========================>.....] - ETA: 0s - loss: 1.9012e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.8687e-04 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 8.6390e-05 38/128 [=======>......................] - ETA: 0s - loss: 1.4119e-04 75/128 [================>.............] - ETA: 0s - loss: 1.5594e-04 107/128 [========================>.....] - ETA: 0s - loss: 1.7082e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.6630e-04 -> test with GAN.predict GAN tn, fp: 317, 1 GAN fn, tp: 0, 11 GAN f1 score: 0.957 GAN cohens kappa score: 0.955 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 1 KNN fn, tp: 0, 11 KNN f1 score: 0.957 KNN cohens kappa score: 0.955 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 21s - loss: 1.1568e-04 15/128 [==>...........................] - ETA: 0s - loss: 9.7939e-06  36/128 [=======>......................] - ETA: 0s - loss: 1.2869e-04 72/128 [===============>..............] - ETA: 0s - loss: 6.5689e-05 106/128 [=======================>......] - ETA: 0s - loss: 4.6222e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.8982e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.0297e-06 31/128 [======>.......................] - ETA: 0s - loss: 1.2833e-04 36/128 [=======>......................] - ETA: 0s - loss: 1.1084e-04 67/128 [==============>...............] - ETA: 0s - loss: 6.0679e-05 100/128 [======================>.......] - ETA: 0s - loss: 4.1559e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.4308e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.2285e-06 32/128 [======>.......................] - ETA: 0s - loss: 6.6065e-06 61/128 [=============>................] - ETA: 0s - loss: 4.4915e-06 85/128 [==================>...........] - ETA: 0s - loss: 4.3990e-06 119/128 [==========================>...] - ETA: 0s - loss: 3.1747e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.0438e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 3.1942e-06 36/128 [=======>......................] - ETA: 0s - loss: 3.8621e-06 65/128 [==============>...............] - ETA: 0s - loss: 4.9849e-05 86/128 [===================>..........] - ETA: 0s - loss: 3.8383e-05 106/128 [=======================>......] - ETA: 0s - loss: 3.1544e-05 128/128 [==============================] - 0s 2ms/step - loss: 2.6969e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.2179e-06 29/128 [=====>........................] - ETA: 0s - loss: 9.0712e-05 54/128 [===========>..................] - ETA: 0s - loss: 5.1877e-05 79/128 [=================>............] - ETA: 0s - loss: 3.6636e-05 90/128 [====================>.........] - ETA: 0s - loss: 3.2467e-05 124/128 [============================>.] - ETA: 0s - loss: 2.4050e-05 128/128 [==============================] - 0s 2ms/step - loss: 2.3509e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.0089e-06 30/128 [======>.......................] - ETA: 0s - loss: 7.7520e-05 58/128 [============>.................] - ETA: 0s - loss: 4.1449e-05 87/128 [===================>..........] - ETA: 0s - loss: 2.9622e-05 92/128 [====================>.........] - ETA: 0s - loss: 2.8101e-05 127/128 [============================>.] - ETA: 0s - loss: 2.0817e-05 128/128 [==============================] - 0s 2ms/step - loss: 2.0801e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.9491e-06 34/128 [======>.......................] - ETA: 0s - loss: 3.7755e-06 69/128 [===============>..............] - ETA: 0s - loss: 3.1551e-05 101/128 [======================>.......] - ETA: 0s - loss: 2.2781e-05 127/128 [============================>.] - ETA: 0s - loss: 1.8441e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.8427e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.1263e-06 21/128 [===>..........................] - ETA: 0s - loss: 8.5781e-05 52/128 [===========>..................] - ETA: 0s - loss: 3.5511e-05 87/128 [===================>..........] - ETA: 0s - loss: 2.1860e-05 118/128 [==========================>...] - ETA: 0s - loss: 1.7296e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.6402e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.2976e-06 21/128 [===>..........................] - ETA: 0s - loss: 1.3714e-06 42/128 [========>.....................] - ETA: 0s - loss: 1.4785e-06 78/128 [=================>............] - ETA: 0s - loss: 2.1608e-05 111/128 [=========================>....] - ETA: 0s - loss: 1.5853e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.4637e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 8.7383e-07 30/128 [======>.......................] - ETA: 0s - loss: 4.9160e-05 46/128 [=========>....................] - ETA: 0s - loss: 3.2502e-05 64/128 [==============>...............] - ETA: 0s - loss: 2.4083e-05 90/128 [====================>.........] - ETA: 0s - loss: 1.7459e-05 123/128 [===========================>..] - ETA: 0s - loss: 1.3534e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.3132e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 24s - loss: 3.1139e-06 41/128 [========>.....................] - ETA: 0s - loss: 8.5943e-06  81/128 [=================>............] - ETA: 0s - loss: 3.6505e-05 119/128 [==========================>...] - ETA: 0s - loss: 5.0024e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.7061e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 3.9592e-06 38/128 [=======>......................] - ETA: 0s - loss: 1.0601e-05 77/128 [=================>............] - ETA: 0s - loss: 3.8457e-05 115/128 [=========================>....] - ETA: 0s - loss: 2.7511e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.1749e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.0117e-06 39/128 [========>.....................] - ETA: 0s - loss: 4.3494e-05 77/128 [=================>............] - ETA: 0s - loss: 2.9133e-05 113/128 [=========================>....] - ETA: 0s - loss: 4.1645e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.7267e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 3.3502e-06 41/128 [========>.....................] - ETA: 0s - loss: 8.2955e-06 78/128 [=================>............] - ETA: 0s - loss: 3.3776e-05 117/128 [==========================>...] - ETA: 0s - loss: 3.4983e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.3306e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.2995e-06 39/128 [========>.....................] - ETA: 0s - loss: 3.5747e-05 76/128 [================>.............] - ETA: 0s - loss: 2.0754e-05 113/128 [=========================>....] - ETA: 0s - loss: 3.2228e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.9687e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.7972e-06 36/128 [=======>......................] - ETA: 0s - loss: 3.4041e-05 72/128 [===============>..............] - ETA: 0s - loss: 4.4445e-05 109/128 [========================>.....] - ETA: 0s - loss: 2.9782e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.6034e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 5.1172e-07 36/128 [=======>......................] - ETA: 0s - loss: 4.0946e-06 75/128 [================>.............] - ETA: 0s - loss: 1.9327e-05 112/128 [=========================>....] - ETA: 0s - loss: 1.3173e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.4093e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 4.8338e-07 37/128 [=======>......................] - ETA: 0s - loss: 1.6442e-06 71/128 [===============>..............] - ETA: 0s - loss: 1.3827e-05 108/128 [========================>.....] - ETA: 0s - loss: 2.3971e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.1013e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 3.3906e-07 36/128 [=======>......................] - ETA: 0s - loss: 2.3524e-06 67/128 [==============>...............] - ETA: 0s - loss: 3.1913e-06 100/128 [======================>.......] - ETA: 0s - loss: 2.3419e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.8741e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 3.8988e-07 37/128 [=======>......................] - ETA: 0s - loss: 3.4526e-05 75/128 [================>.............] - ETA: 0s - loss: 2.6283e-05 111/128 [=========================>....] - ETA: 0s - loss: 1.8829e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.6684e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 20s - loss: 1.4350e-04 42/128 [========>.....................] - ETA: 0s - loss: 9.5883e-04  82/128 [==================>...........] - ETA: 0s - loss: 4.9693e-04 123/128 [===========================>..] - ETA: 0s - loss: 0.0017  128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.5947e-07 42/128 [========>.....................] - ETA: 0s - loss: 7.9093e-04 81/128 [=================>............] - ETA: 0s - loss: 4.3341e-04 120/128 [===========================>..] - ETA: 0s - loss: 0.0012  128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.4969e-08 38/128 [=======>......................] - ETA: 0s - loss: 9.9395e-04 77/128 [=================>............] - ETA: 0s - loss: 0.0017  116/128 [==========================>...] - ETA: 0s - loss: 0.0017 128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.0718e-07 41/128 [========>.....................] - ETA: 0s - loss: 7.6875e-04 80/128 [=================>............] - ETA: 0s - loss: 7.8698e-04 119/128 [==========================>...] - ETA: 0s - loss: 0.0011  128/128 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 0.0308 41/128 [========>.....................] - ETA: 0s - loss: 0.0015 81/128 [=================>............] - ETA: 0s - loss: 0.0023 120/128 [===========================>..] - ETA: 0s - loss: 0.0016 128/128 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 5.3771e-08 39/128 [========>.....................] - ETA: 0s - loss: 0.0015  77/128 [=================>............] - ETA: 0s - loss: 0.0015 116/128 [==========================>...] - ETA: 0s - loss: 0.0016 128/128 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 0.0037 40/128 [========>.....................] - ETA: 0s - loss: 0.0015 79/128 [=================>............] - ETA: 0s - loss: 0.0018 118/128 [==========================>...] - ETA: 0s - loss: 0.0015 128/128 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.0759e-09 40/128 [========>.....................] - ETA: 0s - loss: 0.0021  79/128 [=================>............] - ETA: 0s - loss: 0.0018 118/128 [==========================>...] - ETA: 0s - loss: 0.0012 128/128 [==============================] - 0s 1ms/step - loss: 0.0013 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 7.4445e-09 36/128 [=======>......................] - ETA: 0s - loss: 0.0014  71/128 [===============>..............] - ETA: 0s - loss: 0.0014 103/128 [=======================>......] - ETA: 0s - loss: 9.9656e-04 128/128 [==============================] - 0s 2ms/step - loss: 0.0012 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.8492e-09 35/128 [=======>......................] - ETA: 0s - loss: 0.0021  76/128 [================>.............] - ETA: 0s - loss: 9.6069e-04 114/128 [=========================>....] - ETA: 0s - loss: 0.0011  128/128 [==============================] - 0s 1ms/step - loss: 0.0011 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1228 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 22s - loss: 1.1041e-06 41/128 [========>.....................] - ETA: 0s - loss: 9.9848e-05  82/128 [==================>...........] - ETA: 0s - loss: 7.1668e-05 121/128 [===========================>..] - ETA: 0s - loss: 5.1044e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.8635e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.0528e-06 38/128 [=======>......................] - ETA: 0s - loss: 1.2078e-06 76/128 [================>.............] - ETA: 0s - loss: 4.3172e-06 116/128 [==========================>...] - ETA: 0s - loss: 4.7624e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.3528e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.0843e-06 41/128 [========>.....................] - ETA: 0s - loss: 2.6546e-05 81/128 [=================>............] - ETA: 0s - loss: 1.6057e-05 122/128 [===========================>..] - ETA: 0s - loss: 4.0277e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.8672e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 8.8837e-07 39/128 [========>.....................] - ETA: 0s - loss: 2.6940e-05 79/128 [=================>............] - ETA: 0s - loss: 5.0950e-05 119/128 [==========================>...] - ETA: 0s - loss: 3.7039e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.4711e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 3.7156e-07 41/128 [========>.....................] - ETA: 0s - loss: 3.0332e-05 83/128 [==================>...........] - ETA: 0s - loss: 1.5428e-05 115/128 [=========================>....] - ETA: 0s - loss: 3.4073e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.1104e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 4.7120e-07 35/128 [=======>......................] - ETA: 0s - loss: 8.4295e-07 70/128 [===============>..............] - ETA: 0s - loss: 4.9210e-06 108/128 [========================>.....] - ETA: 0s - loss: 3.2737e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.8034e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.3353e-06 39/128 [========>.....................] - ETA: 0s - loss: 2.2731e-05 77/128 [=================>............] - ETA: 0s - loss: 1.3185e-05 112/128 [=========================>....] - ETA: 0s - loss: 2.8417e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.5195e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.4505e-07 41/128 [========>.....................] - ETA: 0s - loss: 7.3553e-06 82/128 [==================>...........] - ETA: 0s - loss: 4.2583e-06 123/128 [===========================>..] - ETA: 0s - loss: 2.3374e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.2626e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 5.4242e-07 41/128 [========>.....................] - ETA: 0s - loss: 5.0850e-06 80/128 [=================>............] - ETA: 0s - loss: 3.1982e-05 120/128 [===========================>..] - ETA: 0s - loss: 2.1613e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.0458e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 4.4285e-07 39/128 [========>.....................] - ETA: 0s - loss: 5.4336e-05 78/128 [=================>............] - ETA: 0s - loss: 2.7590e-05 116/128 [==========================>...] - ETA: 0s - loss: 1.9990e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.8279e-05 -> test with GAN.predict GAN tn, fp: 317, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 316, 1 LR fn, tp: 0, 9 LR f1 score: 0.947 LR cohens kappa score: 0.946 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 317, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 317, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 316, 1 KNN fn, tp: 0, 9 KNN f1 score: 0.947 KNN cohens kappa score: 0.946 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 19s - loss: 7.8676e-08 41/128 [========>.....................] - ETA: 0s - loss: 4.1302e-05  81/128 [=================>............] - ETA: 0s - loss: 2.1582e-05 120/128 [===========================>..] - ETA: 0s - loss: 4.4853e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.2353e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 0.0031 39/128 [========>.....................] - ETA: 0s - loss: 1.1060e-04 77/128 [=================>............] - ETA: 0s - loss: 6.1872e-05 117/128 [==========================>...] - ETA: 0s - loss: 4.0812e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.7575e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 9.6756e-08 41/128 [========>.....................] - ETA: 0s - loss: 7.4986e-05 80/128 [=================>............] - ETA: 0s - loss: 5.2362e-05 119/128 [==========================>...] - ETA: 0s - loss: 3.5259e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.3018e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.3059e-08 40/128 [========>.....................] - ETA: 0s - loss: 6.9527e-05 79/128 [=================>............] - ETA: 0s - loss: 3.5929e-05 117/128 [==========================>...] - ETA: 0s - loss: 3.2146e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.9599e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.7649e-04 41/128 [========>.....................] - ETA: 0s - loss: 2.7904e-05 79/128 [=================>............] - ETA: 0s - loss: 4.2654e-05 119/128 [==========================>...] - ETA: 0s - loss: 2.8364e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.6626e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 7.0431e-08 41/128 [========>.....................] - ETA: 0s - loss: 2.0821e-07 80/128 [=================>............] - ETA: 0s - loss: 8.7736e-06 120/128 [===========================>..] - ETA: 0s - loss: 2.5202e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.3852e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 5.9612e-04 41/128 [========>.....................] - ETA: 0s - loss: 1.4883e-05 81/128 [=================>............] - ETA: 0s - loss: 3.0849e-05 121/128 [===========================>..] - ETA: 0s - loss: 2.2408e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.1336e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 8.8178e-08 42/128 [========>.....................] - ETA: 0s - loss: 1.9014e-07 83/128 [==================>...........] - ETA: 0s - loss: 2.4704e-06 124/128 [============================>.] - ETA: 0s - loss: 1.5335e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.9066e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 6.0677e-08 42/128 [========>.....................] - ETA: 0s - loss: 3.6704e-05 82/128 [==================>...........] - ETA: 0s - loss: 2.1172e-05 122/128 [===========================>..] - ETA: 0s - loss: 1.7815e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.7102e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 3.7669e-08 40/128 [========>.....................] - ETA: 0s - loss: 3.5569e-05 78/128 [=================>............] - ETA: 0s - loss: 2.3327e-05 119/128 [==========================>...] - ETA: 0s - loss: 1.6491e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.5444e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 317, 1 LR fn, tp: 0, 11 LR f1 score: 0.957 LR cohens kappa score: 0.955 LR average precision score: 0.917 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 1 KNN fn, tp: 0, 11 KNN f1 score: 0.957 KNN cohens kappa score: 0.955 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 31s - loss: 1.9459e-05 41/128 [========>.....................] - ETA: 0s - loss: 6.9523e-05  81/128 [=================>............] - ETA: 0s - loss: 4.1536e-05 116/128 [==========================>...] - ETA: 0s - loss: 3.3334e-05 125/128 [============================>.] - ETA: 0s - loss: 3.1655e-05 128/128 [==============================] - 0s 2ms/step - loss: 3.1289e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 6.6887e-06 41/128 [========>.....................] - ETA: 0s - loss: 1.2087e-05 80/128 [=================>............] - ETA: 0s - loss: 1.0897e-05 119/128 [==========================>...] - ETA: 0s - loss: 1.1129e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.6716e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.1379e-05 34/128 [======>.......................] - ETA: 0s - loss: 4.5368e-05 53/128 [===========>..................] - ETA: 0s - loss: 3.2173e-05 90/128 [====================>.........] - ETA: 0s - loss: 2.3031e-05 124/128 [============================>.] - ETA: 0s - loss: 2.3363e-05 128/128 [==============================] - 0s 2ms/step - loss: 2.3008e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 6.5275e-06 39/128 [========>.....................] - ETA: 0s - loss: 9.2133e-06 76/128 [================>.............] - ETA: 0s - loss: 8.8087e-06 87/128 [===================>..........] - ETA: 0s - loss: 8.6379e-06 126/128 [============================>.] - ETA: 0s - loss: 2.0158e-05 128/128 [==============================] - 0s 2ms/step - loss: 2.0029e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 4.1409e-06 40/128 [========>.....................] - ETA: 0s - loss: 6.5750e-06 79/128 [=================>............] - ETA: 0s - loss: 7.2214e-06 115/128 [=========================>....] - ETA: 0s - loss: 7.1642e-06 123/128 [===========================>..] - ETA: 0s - loss: 7.2093e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.7328e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 8.1603e-06 41/128 [========>.....................] - ETA: 0s - loss: 1.2774e-05 81/128 [=================>............] - ETA: 0s - loss: 1.9814e-05 118/128 [==========================>...] - ETA: 0s - loss: 1.5635e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.4890e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 4.5628e-06 26/128 [=====>........................] - ETA: 0s - loss: 3.5435e-05 53/128 [===========>..................] - ETA: 0s - loss: 1.9595e-05 93/128 [====================>.........] - ETA: 0s - loss: 1.5947e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.2872e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.3406e-06 34/128 [======>.......................] - ETA: 0s - loss: 5.2098e-06 66/128 [==============>...............] - ETA: 0s - loss: 1.5048e-05 77/128 [=================>............] - ETA: 0s - loss: 1.3351e-05 110/128 [========================>.....] - ETA: 0s - loss: 1.0343e-05 128/128 [==============================] - 0s 2ms/step - loss: 1.1094e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.9969e-06 40/128 [========>.....................] - ETA: 0s - loss: 8.0586e-06 78/128 [=================>............] - ETA: 0s - loss: 5.5406e-06 107/128 [========================>.....] - ETA: 0s - loss: 4.9567e-06 128/128 [==============================] - ETA: 0s - loss: 9.4641e-06 128/128 [==============================] - 0s 2ms/step - loss: 9.4641e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.7549e-06 39/128 [========>.....................] - ETA: 0s - loss: 2.7297e-06 80/128 [=================>............] - ETA: 0s - loss: 2.8017e-06 117/128 [==========================>...] - ETA: 0s - loss: 8.4873e-06 128/128 [==============================] - 0s 1ms/step - loss: 7.9534e-06 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 26s - loss: 6.4674e-04 39/128 [========>.....................] - ETA: 0s - loss: 5.7114e-04  74/128 [================>.............] - ETA: 0s - loss: 5.5169e-04 108/128 [========================>.....] - ETA: 0s - loss: 5.7491e-04 128/128 [==============================] - 0s 1ms/step - loss: 5.9586e-04 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 8.1762e-04 37/128 [=======>......................] - ETA: 0s - loss: 4.9035e-04 72/128 [===============>..............] - ETA: 0s - loss: 4.8866e-04 105/128 [=======================>......] - ETA: 0s - loss: 5.1842e-04 128/128 [==============================] - 0s 1ms/step - loss: 5.1236e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 7.0051e-04 33/128 [======>.......................] - ETA: 0s - loss: 4.3752e-04 67/128 [==============>...............] - ETA: 0s - loss: 4.6982e-04 99/128 [======================>.......] - ETA: 0s - loss: 4.4486e-04 128/128 [==============================] - 0s 2ms/step - loss: 4.4336e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.0113e-04 36/128 [=======>......................] - ETA: 0s - loss: 4.9547e-04 75/128 [================>.............] - ETA: 0s - loss: 4.0848e-04 110/128 [========================>.....] - ETA: 0s - loss: 4.0652e-04 128/128 [==============================] - 0s 1ms/step - loss: 3.8483e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.7270e-04 35/128 [=======>......................] - ETA: 0s - loss: 4.6032e-04 69/128 [===============>..............] - ETA: 0s - loss: 3.9714e-04 108/128 [========================>.....] - ETA: 0s - loss: 3.5678e-04 128/128 [==============================] - 0s 1ms/step - loss: 3.3668e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.5049e-04 37/128 [=======>......................] - ETA: 0s - loss: 2.7187e-04 71/128 [===============>..............] - ETA: 0s - loss: 2.8187e-04 105/128 [=======================>......] - ETA: 0s - loss: 2.8585e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.9643e-04 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.6342e-04 33/128 [======>.......................] - ETA: 0s - loss: 2.5363e-04 67/128 [==============>...............] - ETA: 0s - loss: 2.7325e-04 103/128 [=======================>......] - ETA: 0s - loss: 2.7597e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.5922e-04 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.3975e-08 40/128 [========>.....................] - ETA: 0s - loss: 1.8743e-04 72/128 [===============>..............] - ETA: 0s - loss: 2.4823e-04 110/128 [========================>.....] - ETA: 0s - loss: 2.3196e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.2872e-04 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.0055e-04 37/128 [=======>......................] - ETA: 0s - loss: 1.6608e-04 71/128 [===============>..............] - ETA: 0s - loss: 2.1346e-04 108/128 [========================>.....] - ETA: 0s - loss: 2.0714e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.0283e-04 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 8.8631e-05 38/128 [=======>......................] - ETA: 0s - loss: 2.2914e-04 75/128 [================>.............] - ETA: 0s - loss: 2.0092e-04 110/128 [========================>.....] - ETA: 0s - loss: 1.8502e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.8063e-04 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 22s - loss: 5.5413e-08 42/128 [========>.....................] - ETA: 0s - loss: 7.1133e-07  83/128 [==================>...........] - ETA: 0s - loss: 6.0356e-05 124/128 [============================>.] - ETA: 0s - loss: 4.5201e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.4102e-05 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.5591e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.2468e-04 81/128 [=================>............] - ETA: 0s - loss: 6.3543e-05 120/128 [===========================>..] - ETA: 0s - loss: 4.2929e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.0537e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 3.7356e-08 41/128 [========>.....................] - ETA: 0s - loss: 2.1920e-07 82/128 [==================>...........] - ETA: 0s - loss: 2.9883e-07 121/128 [===========================>..] - ETA: 0s - loss: 3.8967e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.7101e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.1194e-07 40/128 [========>.....................] - ETA: 0s - loss: 1.0772e-04 78/128 [=================>............] - ETA: 0s - loss: 5.5287e-05 114/128 [=========================>....] - ETA: 0s - loss: 3.7951e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.4127e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.1961e-07 39/128 [========>.....................] - ETA: 0s - loss: 6.0063e-07 78/128 [=================>............] - ETA: 0s - loss: 4.5199e-05 119/128 [==========================>...] - ETA: 0s - loss: 3.2960e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.0863e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 7.6513e-08 33/128 [======>.......................] - ETA: 0s - loss: 7.1875e-08 67/128 [==============>...............] - ETA: 0s - loss: 4.7301e-05 100/128 [======================>.......] - ETA: 0s - loss: 3.1889e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.7862e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.4914e-08 43/128 [=========>....................] - ETA: 0s - loss: 1.1872e-07 84/128 [==================>...........] - ETA: 0s - loss: 3.8220e-05 123/128 [===========================>..] - ETA: 0s - loss: 2.6168e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.5376e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 6.0589e-08 39/128 [========>.....................] - ETA: 0s - loss: 7.9787e-06 79/128 [=================>............] - ETA: 0s - loss: 3.6655e-05 119/128 [==========================>...] - ETA: 0s - loss: 2.4392e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.2840e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 4.3304e-08 41/128 [========>.....................] - ETA: 0s - loss: 5.7809e-05 77/128 [=================>............] - ETA: 0s - loss: 3.0930e-05 117/128 [==========================>...] - ETA: 0s - loss: 2.2580e-05 128/128 [==============================] - 0s 1ms/step - loss: 2.0790e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 5.0296e-08 42/128 [========>.....................] - ETA: 0s - loss: 6.9651e-08 83/128 [==================>...........] - ETA: 0s - loss: 2.6127e-05 123/128 [===========================>..] - ETA: 0s - loss: 1.9600e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.8970e-05 -> test with GAN.predict GAN tn, fp: 318, 0 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 318, 0 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 318, 0 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 318, 0 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1228 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 19s - loss: 8.5138e-09 41/128 [========>.....................] - ETA: 0s - loss: 9.1310e-08  81/128 [=================>............] - ETA: 0s - loss: 2.5136e-06 121/128 [===========================>..] - ETA: 0s - loss: 1.9408e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.8466e-06 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 7.1321e-09 42/128 [========>.....................] - ETA: 0s - loss: 2.5401e-07 83/128 [==================>...........] - ETA: 0s - loss: 2.6180e-06 123/128 [===========================>..] - ETA: 0s - loss: 1.7983e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.7392e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 6.3140e-09 40/128 [========>.....................] - ETA: 0s - loss: 7.7809e-09 82/128 [==================>...........] - ETA: 0s - loss: 2.4937e-06 123/128 [===========================>..] - ETA: 0s - loss: 1.7016e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.6457e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.0437e-09 37/128 [=======>......................] - ETA: 0s - loss: 5.7504e-08 77/128 [=================>............] - ETA: 0s - loss: 2.5585e-06 118/128 [==========================>...] - ETA: 0s - loss: 1.6817e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.5604e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 5.4754e-09 40/128 [========>.....................] - ETA: 0s - loss: 4.6594e-07 78/128 [=================>............] - ETA: 0s - loss: 2.2996e-06 116/128 [==========================>...] - ETA: 0s - loss: 1.6152e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.4735e-06 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 7.1887e-09 40/128 [========>.....................] - ETA: 0s - loss: 5.2199e-07 76/128 [================>.............] - ETA: 0s - loss: 2.2165e-06 114/128 [=========================>....] - ETA: 0s - loss: 1.4974e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.3942e-06 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 4.7136e-09 39/128 [========>.....................] - ETA: 0s - loss: 1.9775e-07 81/128 [=================>............] - ETA: 0s - loss: 2.0673e-06 120/128 [===========================>..] - ETA: 0s - loss: 1.3993e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.3203e-06 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.8347e-06 41/128 [========>.....................] - ETA: 0s - loss: 1.0829e-07 80/128 [=================>............] - ETA: 0s - loss: 1.9982e-06 119/128 [==========================>...] - ETA: 0s - loss: 1.3451e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.2586e-06 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 8.5252e-07 37/128 [=======>......................] - ETA: 0s - loss: 6.1174e-07 77/128 [=================>............] - ETA: 0s - loss: 2.9619e-07 118/128 [==========================>...] - ETA: 0s - loss: 1.2947e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.2039e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 5.1318e-09 40/128 [========>.....................] - ETA: 0s - loss: 6.2249e-09 80/128 [=================>............] - ETA: 0s - loss: 1.6077e-06 119/128 [==========================>...] - ETA: 0s - loss: 1.2312e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.1522e-06 -> test with GAN.predict GAN tn, fp: 315, 2 GAN fn, tp: 0, 9 GAN f1 score: 0.900 GAN cohens kappa score: 0.897 -> test with 'LR' LR tn, fp: 317, 0 LR fn, tp: 0, 9 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 317, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 317, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 317, 0 KNN fn, tp: 0, 9 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 318, 2 LR fn, tp: 0, 11 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 average: LR tn, fp: 317.56, 0.24 LR fn, tp: 0.0, 10.6 LR f1 score: 0.989 LR cohens kappa score: 0.989 LR average precision score: 0.990 minimum: LR tn, fp: 316, 0 LR fn, tp: 0, 9 LR f1 score: 0.917 LR cohens kappa score: 0.914 LR average precision score: 0.917 -----[ RF ]----- maximum: RF tn, fp: 318, 0 RF fn, tp: 0, 11 RF f1 score: 1.000 RF cohens kappa score: 1.000 average: RF tn, fp: 317.8, 0.0 RF fn, tp: 0.0, 10.6 RF f1 score: 1.000 RF cohens kappa score: 1.000 minimum: RF tn, fp: 317, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -----[ GB ]----- maximum: GB tn, fp: 318, 3 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 average: GB tn, fp: 317.68, 0.12 GB fn, tp: 0.0, 10.6 GB f1 score: 0.995 GB cohens kappa score: 0.995 minimum: GB tn, fp: 315, 0 GB fn, tp: 0, 9 GB f1 score: 0.880 GB cohens kappa score: 0.875 -----[ KNN ]----- maximum: KNN tn, fp: 318, 2 KNN fn, tp: 0, 11 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 average: KNN tn, fp: 317.4, 0.4 KNN fn, tp: 0.0, 10.6 KNN f1 score: 0.982 KNN cohens kappa score: 0.982 minimum: KNN tn, fp: 316, 0 KNN fn, tp: 0, 9 KNN f1 score: 0.917 KNN cohens kappa score: 0.914 -----[ GAN ]----- maximum: GAN tn, fp: 318, 2 GAN fn, tp: 0, 11 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 average: GAN tn, fp: 317.6, 0.2 GAN fn, tp: 0.0, 10.6 GAN f1 score: 0.991 GAN cohens kappa score: 0.991 minimum: GAN tn, fp: 315, 0 GAN fn, tp: 0, 9 GAN f1 score: 0.900 GAN cohens kappa score: 0.897