/////////////////////////////////////////// // Running convGAN-proximary-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: 19s - loss: 1.0659e-07 36/128 [=======>......................] - ETA: 0s - loss: 1.4410e-07  71/128 [===============>..............] - ETA: 0s - loss: 1.4334e-07 103/128 [=======================>......] - ETA: 0s - loss: 1.4066e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.5073e-07 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 7.5439e-08 36/128 [=======>......................] - ETA: 0s - loss: 1.5446e-07 70/128 [===============>..............] - ETA: 0s - loss: 1.3284e-07 105/128 [=======================>......] - ETA: 0s - loss: 1.2489e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.2279e-07 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 8.4817e-08 36/128 [=======>......................] - ETA: 0s - loss: 8.7360e-08 69/128 [===============>..............] - ETA: 0s - loss: 8.1070e-08 104/128 [=======================>......] - ETA: 0s - loss: 9.2948e-08 128/128 [==============================] - 0s 1ms/step - loss: 8.7595e-08 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 3.7666e-08 35/128 [=======>......................] - ETA: 0s - loss: 6.4786e-08 66/128 [==============>...............] - ETA: 0s - loss: 6.0603e-08 93/128 [====================>.........] - ETA: 0s - loss: 7.5208e-08 119/128 [==========================>...] - ETA: 0s - loss: 6.9462e-08 128/128 [==============================] - 0s 2ms/step - loss: 6.7792e-08 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 7.3113e-08 33/128 [======>.......................] - ETA: 0s - loss: 4.8498e-08 67/128 [==============>...............] - ETA: 0s - loss: 5.0768e-08 102/128 [======================>.......] - ETA: 0s - loss: 6.1589e-08 128/128 [==============================] - 0s 1ms/step - loss: 5.6481e-08 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 5.5751e-08 33/128 [======>.......................] - ETA: 0s - loss: 4.1963e-08 67/128 [==============>...............] - ETA: 0s - loss: 4.0443e-08 96/128 [=====================>........] - ETA: 0s - loss: 5.5449e-08 128/128 [==============================] - 0s 2ms/step - loss: 4.9499e-08 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.8603e-08 39/128 [========>.....................] - ETA: 0s - loss: 3.2226e-08 73/128 [================>.............] - ETA: 0s - loss: 3.5083e-08 109/128 [========================>.....] - ETA: 0s - loss: 4.6731e-08 128/128 [==============================] - 0s 1ms/step - loss: 4.4412e-08 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.5101e-08 36/128 [=======>......................] - ETA: 0s - loss: 2.6201e-08 71/128 [===============>..............] - ETA: 0s - loss: 2.8556e-08 106/128 [=======================>......] - ETA: 0s - loss: 2.8352e-08 128/128 [==============================] - 0s 1ms/step - loss: 4.0527e-08 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.1261e-08 37/128 [=======>......................] - ETA: 0s - loss: 2.6599e-08 73/128 [================>.............] - ETA: 0s - loss: 2.5230e-08 106/128 [=======================>......] - ETA: 0s - loss: 4.0675e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.7426e-08 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.0606e-08 38/128 [=======>......................] - ETA: 0s - loss: 2.3241e-08 74/128 [================>.............] - ETA: 0s - loss: 2.0807e-08 109/128 [========================>.....] - ETA: 0s - loss: 2.2454e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.4860e-08 -> 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: 19s - loss: 6.2898e-05 41/128 [========>.....................] - ETA: 0s - loss: 0.0084  80/128 [=================>............] - ETA: 0s - loss: 0.0044 121/128 [===========================>..] - ETA: 0s - loss: 0.0029 128/128 [==============================] - 0s 1ms/step - loss: 0.0028 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.5627e-04 41/128 [========>.....................] - ETA: 0s - loss: 1.3830e-04 81/128 [=================>............] - ETA: 0s - loss: 1.4367e-04 118/128 [==========================>...] - ETA: 0s - loss: 1.3510e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.3106e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.9468e-04 40/128 [========>.....................] - ETA: 0s - loss: 1.2014e-04 78/128 [=================>............] - ETA: 0s - loss: 1.1258e-04 119/128 [==========================>...] - ETA: 0s - loss: 1.1194e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.1050e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.1072e-04 41/128 [========>.....................] - ETA: 0s - loss: 1.1221e-04 79/128 [=================>............] - ETA: 0s - loss: 1.0059e-04 119/128 [==========================>...] - ETA: 0s - loss: 9.5377e-05 128/128 [==============================] - 0s 1ms/step - loss: 9.4961e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 9.5414e-05 42/128 [========>.....................] - ETA: 0s - loss: 7.1038e-05 82/128 [==================>...........] - ETA: 0s - loss: 7.8329e-05 113/128 [=========================>....] - ETA: 0s - loss: 8.0355e-05 128/128 [==============================] - 0s 1ms/step - loss: 8.1594e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 8.2271e-05 35/128 [=======>......................] - ETA: 0s - loss: 7.1586e-05 74/128 [================>.............] - ETA: 0s - loss: 6.6973e-05 114/128 [=========================>....] - ETA: 0s - loss: 7.1985e-05 128/128 [==============================] - 0s 1ms/step - loss: 7.0810e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 3.5767e-05 39/128 [========>.....................] - ETA: 0s - loss: 6.2217e-05 80/128 [=================>............] - ETA: 0s - loss: 6.3997e-05 119/128 [==========================>...] - ETA: 0s - loss: 6.1982e-05 128/128 [==============================] - 0s 1ms/step - loss: 6.1754e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 6.2539e-05 38/128 [=======>......................] - ETA: 0s - loss: 5.1902e-05 78/128 [=================>............] - ETA: 0s - loss: 5.1861e-05 118/128 [==========================>...] - ETA: 0s - loss: 5.4507e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.4085e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 5.4896e-05 42/128 [========>.....................] - ETA: 0s - loss: 5.6885e-05 83/128 [==================>...........] - ETA: 0s - loss: 5.0775e-05 122/128 [===========================>..] - ETA: 0s - loss: 4.8570e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.7575e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 4.8327e-05 39/128 [========>.....................] - ETA: 0s - loss: 4.2075e-05 78/128 [=================>............] - ETA: 0s - loss: 4.1087e-05 117/128 [==========================>...] - ETA: 0s - loss: 4.1380e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.1998e-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: 20s - loss: 1.4174e-08 41/128 [========>.....................] - ETA: 0s - loss: 2.4629e-08  77/128 [=================>............] - ETA: 0s - loss: 2.3318e-08 116/128 [==========================>...] - ETA: 0s - loss: 4.5040e-08 128/128 [==============================] - 0s 1ms/step - loss: 4.2820e-08 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 3.1095e-08 40/128 [========>.....................] - ETA: 0s - loss: 1.8624e-08 79/128 [=================>............] - ETA: 0s - loss: 5.1514e-08 118/128 [==========================>...] - ETA: 0s - loss: 3.9765e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.8047e-08 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.2575e-08 42/128 [========>.....................] - ETA: 0s - loss: 1.2830e-08 80/128 [=================>............] - ETA: 0s - loss: 4.7294e-08 118/128 [==========================>...] - ETA: 0s - loss: 3.6850e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.5137e-08 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.5195e-08 41/128 [========>.....................] - ETA: 0s - loss: 1.2519e-08 81/128 [=================>............] - ETA: 0s - loss: 4.5243e-08 121/128 [===========================>..] - ETA: 0s - loss: 3.4425e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.3321e-08 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.4950e-08 40/128 [========>.....................] - ETA: 0s - loss: 1.1960e-08 74/128 [================>.............] - ETA: 0s - loss: 4.7389e-08 109/128 [========================>.....] - ETA: 0s - loss: 3.5802e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.2093e-08 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.2758e-08 42/128 [========>.....................] - ETA: 0s - loss: 1.0782e-08 82/128 [==================>...........] - ETA: 0s - loss: 1.0686e-08 123/128 [===========================>..] - ETA: 0s - loss: 3.2058e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.1379e-08 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.3402e-08 42/128 [========>.....................] - ETA: 0s - loss: 9.8203e-09 82/128 [==================>...........] - ETA: 0s - loss: 4.2147e-08 120/128 [===========================>..] - ETA: 0s - loss: 3.2106e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.0931e-08 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 6.9204e-09 40/128 [========>.....................] - ETA: 0s - loss: 9.8335e-09 75/128 [================>.............] - ETA: 0s - loss: 4.4833e-08 114/128 [=========================>....] - ETA: 0s - loss: 3.2918e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.0536e-08 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 9.4322e-09 41/128 [========>.....................] - ETA: 0s - loss: 7.3864e-08 80/128 [=================>............] - ETA: 0s - loss: 4.2266e-08 119/128 [==========================>...] - ETA: 0s - loss: 3.1463e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.0122e-08 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.0405e-08 40/128 [========>.....................] - ETA: 0s - loss: 9.4517e-09 80/128 [=================>............] - ETA: 0s - loss: 4.2199e-08 119/128 [==========================>...] - ETA: 0s - loss: 3.1239e-08 128/128 [==============================] - 0s 1ms/step - loss: 2.9829e-08 -> 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: 22s - loss: 1.6558e-07 33/128 [======>.......................] - ETA: 0s - loss: 1.3120e-07  67/128 [==============>...............] - ETA: 0s - loss: 1.5903e-07 102/128 [======================>.......] - ETA: 0s - loss: 1.4075e-07 128/128 [==============================] - 0s 2ms/step - loss: 1.3802e-07 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.5613e-07 33/128 [======>.......................] - ETA: 0s - loss: 1.6699e-07 65/128 [==============>...............] - ETA: 0s - loss: 1.2882e-07 98/128 [=====================>........] - ETA: 0s - loss: 1.1571e-07 128/128 [==============================] - 0s 2ms/step - loss: 1.0835e-07 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.3240e-07 34/128 [======>.......................] - ETA: 0s - loss: 8.6111e-08 67/128 [==============>...............] - ETA: 0s - loss: 8.1122e-08 101/128 [======================>.......] - ETA: 0s - loss: 9.7496e-08 128/128 [==============================] - 0s 2ms/step - loss: 8.9508e-08 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.6153e-08 37/128 [=======>......................] - ETA: 0s - loss: 6.5137e-08 70/128 [===============>..............] - ETA: 0s - loss: 6.3941e-08 104/128 [=======================>......] - ETA: 0s - loss: 8.1268e-08 128/128 [==============================] - 0s 2ms/step - loss: 7.7776e-08 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 3.0991e-08 32/128 [======>.......................] - ETA: 0s - loss: 1.1564e-07 66/128 [==============>...............] - ETA: 0s - loss: 8.7948e-08 100/128 [======================>.......] - ETA: 0s - loss: 7.4410e-08 128/128 [==============================] - 0s 2ms/step - loss: 6.9401e-08 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 3.2321e-08 36/128 [=======>......................] - ETA: 0s - loss: 5.1089e-08 71/128 [===============>..............] - ETA: 0s - loss: 7.6756e-08 107/128 [========================>.....] - ETA: 0s - loss: 6.6571e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.2753e-08 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 7.9981e-08 31/128 [======>.......................] - ETA: 0s - loss: 4.2923e-08 58/128 [============>.................] - ETA: 0s - loss: 4.3633e-08 87/128 [===================>..........] - ETA: 0s - loss: 4.1573e-08 118/128 [==========================>...] - ETA: 0s - loss: 5.8827e-08 128/128 [==============================] - 0s 2ms/step - loss: 5.7312e-08 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.5208e-08 40/128 [========>.....................] - ETA: 0s - loss: 8.8608e-08 74/128 [================>.............] - ETA: 0s - loss: 6.5872e-08 115/128 [=========================>....] - ETA: 0s - loss: 5.5264e-08 128/128 [==============================] - 0s 1ms/step - loss: 5.3352e-08 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.5149e-08 36/128 [=======>......................] - ETA: 0s - loss: 3.2571e-08 70/128 [===============>..............] - ETA: 0s - loss: 3.3386e-08 108/128 [========================>.....] - ETA: 0s - loss: 3.3822e-08 128/128 [==============================] - 0s 1ms/step - loss: 5.0204e-08 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.8394e-08 35/128 [=======>......................] - ETA: 0s - loss: 3.2191e-08 68/128 [==============>...............] - ETA: 0s - loss: 3.2876e-08 102/128 [======================>.......] - ETA: 0s - loss: 5.1390e-08 128/128 [==============================] - 0s 2ms/step - loss: 4.7414e-08 -> 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 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1228 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 24s - loss: 111.1529 42/128 [========>.....................] - ETA: 0s - loss: 6.4166  80/128 [=================>............] - ETA: 0s - loss: 3.3688 122/128 [===========================>..] - ETA: 0s - loss: 2.2091 128/128 [==============================] - 0s 1ms/step - loss: 2.1188 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 9.9028e-05 36/128 [=======>......................] - ETA: 0s - loss: 1.7240e-04 49/128 [==========>...................] - ETA: 0s - loss: 1.6891e-04 70/128 [===============>..............] - ETA: 0s - loss: 1.7876e-04 103/128 [=======================>......] - ETA: 0s - loss: 1.6549e-04 128/128 [==============================] - 0s 2ms/step - loss: 1.5505e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.5616e-04 35/128 [=======>......................] - ETA: 0s - loss: 1.4401e-04 71/128 [===============>..............] - ETA: 0s - loss: 1.4272e-04 88/128 [===================>..........] - ETA: 0s - loss: 1.4279e-04 115/128 [=========================>....] - ETA: 0s - loss: 1.3397e-04 128/128 [==============================] - 0s 2ms/step - loss: 1.3476e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 7.4850e-05 40/128 [========>.....................] - ETA: 0s - loss: 1.2478e-04 80/128 [=================>............] - ETA: 0s - loss: 1.2664e-04 116/128 [==========================>...] - ETA: 0s - loss: 1.1707e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.1823e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.9763e-04 14/128 [==>...........................] - ETA: 0s - loss: 1.0262e-04 42/128 [========>.....................] - ETA: 0s - loss: 1.0267e-04 81/128 [=================>............] - ETA: 0s - loss: 1.1121e-04 120/128 [===========================>..] - ETA: 0s - loss: 1.0673e-04 128/128 [==============================] - 0s 2ms/step - loss: 1.0389e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.1594e-04 32/128 [======>.......................] - ETA: 0s - loss: 1.1612e-04 63/128 [=============>................] - ETA: 0s - loss: 0.0030  84/128 [==================>...........] - ETA: 0s - loss: 0.0023 126/128 [============================>.] - ETA: 0s - loss: 0.0016 128/128 [==============================] - 0s 2ms/step - loss: 0.0016 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 5.9154e-05 42/128 [========>.....................] - ETA: 0s - loss: 9.0346e-05 82/128 [==================>...........] - ETA: 0s - loss: 9.7528e-05 117/128 [==========================>...] - ETA: 0s - loss: 9.2957e-05 128/128 [==============================] - 0s 1ms/step - loss: 9.5386e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.1743e-04 9/128 [=>............................] - ETA: 0s - loss: 1.0242e-04 41/128 [========>.....................] - ETA: 0s - loss: 8.9045e-05 77/128 [=================>............] - ETA: 0s - loss: 8.7592e-05 116/128 [==========================>...] - ETA: 0s - loss: 8.7772e-05 128/128 [==============================] - 0s 2ms/step - loss: 8.7993e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.2450e-07 36/128 [=======>......................] - ETA: 0s - loss: 8.9891e-05 57/128 [============>.................] - ETA: 0s - loss: 8.6816e-05 69/128 [===============>..............] - ETA: 0s - loss: 8.9265e-05 105/128 [=======================>......] - ETA: 0s - loss: 8.6375e-05 128/128 [==============================] - 0s 2ms/step - loss: 8.1636e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.9468e-08 37/128 [=======>......................] - ETA: 0s - loss: 7.1304e-05 73/128 [================>.............] - ETA: 0s - loss: 7.1005e-05 102/128 [======================>.......] - ETA: 0s - loss: 7.7045e-05 128/128 [==============================] - 0s 2ms/step - loss: 7.5904e-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: 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: 19s - loss: 4.8173e-06 42/128 [========>.....................] - ETA: 0s - loss: 4.6825e-06  84/128 [==================>...........] - ETA: 0s - loss: 4.3188e-06 126/128 [============================>.] - ETA: 0s - loss: 4.0823e-06 128/128 [==============================] - 0s 1ms/step - loss: 4.0748e-06 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 3.9950e-06 42/128 [========>.....................] - ETA: 0s - loss: 4.1067e-06 84/128 [==================>...........] - ETA: 0s - loss: 3.6977e-06 125/128 [============================>.] - ETA: 0s - loss: 3.6826e-06 128/128 [==============================] - 0s 1ms/step - loss: 3.6933e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.9359e-06 41/128 [========>.....................] - ETA: 0s - loss: 3.8169e-06 82/128 [==================>...........] - ETA: 0s - loss: 3.4304e-06 122/128 [===========================>..] - ETA: 0s - loss: 3.3814e-06 128/128 [==============================] - 0s 1ms/step - loss: 3.3764e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.3950e-06 42/128 [========>.....................] - ETA: 0s - loss: 3.3187e-06 82/128 [==================>...........] - ETA: 0s - loss: 3.2378e-06 123/128 [===========================>..] - ETA: 0s - loss: 3.1219e-06 128/128 [==============================] - 0s 1ms/step - loss: 3.1146e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 6.5872e-06 38/128 [=======>......................] - ETA: 0s - loss: 2.8175e-06 78/128 [=================>............] - ETA: 0s - loss: 2.8523e-06 119/128 [==========================>...] - ETA: 0s - loss: 2.9172e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.8856e-06 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.7329e-06 42/128 [========>.....................] - ETA: 0s - loss: 2.5349e-06 81/128 [=================>............] - ETA: 0s - loss: 2.7311e-06 118/128 [==========================>...] - ETA: 0s - loss: 2.6969e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.6763e-06 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.8476e-06 40/128 [========>.....................] - ETA: 0s - loss: 2.6494e-06 74/128 [================>.............] - ETA: 0s - loss: 2.5472e-06 113/128 [=========================>....] - ETA: 0s - loss: 2.4764e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.4838e-06 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.0841e-06 38/128 [=======>......................] - ETA: 0s - loss: 2.4294e-06 77/128 [=================>............] - ETA: 0s - loss: 2.4540e-06 117/128 [==========================>...] - ETA: 0s - loss: 2.3200e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.3068e-06 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.9008e-06 42/128 [========>.....................] - ETA: 0s - loss: 2.2317e-06 83/128 [==================>...........] - ETA: 0s - loss: 2.1412e-06 122/128 [===========================>..] - ETA: 0s - loss: 2.1612e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.1429e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.9916e-06 42/128 [========>.....................] - ETA: 0s - loss: 2.1081e-06 81/128 [=================>............] - ETA: 0s - loss: 2.0214e-06 117/128 [==========================>...] - ETA: 0s - loss: 2.0270e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.9935e-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: 20s - loss: 2.7669e-06 33/128 [======>.......................] - ETA: 0s - loss: 1.5961e-06  64/128 [==============>...............] - ETA: 0s - loss: 1.5922e-06 103/128 [=======================>......] - ETA: 0s - loss: 1.4374e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.3594e-06 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 6.7209e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.1455e-06 77/128 [=================>............] - ETA: 0s - loss: 1.0894e-06 116/128 [==========================>...] - ETA: 0s - loss: 1.0096e-06 128/128 [==============================] - 0s 1ms/step - loss: 9.9281e-07 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.2157e-06 41/128 [========>.....................] - ETA: 0s - loss: 8.5285e-07 80/128 [=================>............] - ETA: 0s - loss: 8.0076e-07 120/128 [===========================>..] - ETA: 0s - loss: 7.8614e-07 128/128 [==============================] - 0s 1ms/step - loss: 7.7924e-07 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.7620e-07 41/128 [========>.....................] - ETA: 0s - loss: 6.8722e-07 80/128 [=================>............] - ETA: 0s - loss: 6.3725e-07 119/128 [==========================>...] - ETA: 0s - loss: 6.4227e-07 128/128 [==============================] - 0s 1ms/step - loss: 6.3475e-07 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 3.7637e-07 42/128 [========>.....................] - ETA: 0s - loss: 5.3298e-07 83/128 [==================>...........] - ETA: 0s - loss: 5.4468e-07 125/128 [============================>.] - ETA: 0s - loss: 5.3305e-07 128/128 [==============================] - 0s 1ms/step - loss: 5.3052e-07 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 7.3243e-07 39/128 [========>.....................] - ETA: 0s - loss: 4.5587e-07 80/128 [=================>............] - ETA: 0s - loss: 4.5045e-07 121/128 [===========================>..] - ETA: 0s - loss: 4.5425e-07 128/128 [==============================] - 0s 1ms/step - loss: 4.5082e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 4.1225e-07 43/128 [=========>....................] - ETA: 0s - loss: 3.9058e-07 83/128 [==================>...........] - ETA: 0s - loss: 3.8515e-07 124/128 [============================>.] - ETA: 0s - loss: 3.9048e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.8912e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 6.2854e-07 43/128 [=========>....................] - ETA: 0s - loss: 3.2428e-07 84/128 [==================>...........] - ETA: 0s - loss: 3.4536e-07 125/128 [============================>.] - ETA: 0s - loss: 3.3880e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.3924e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 3.1978e-07 36/128 [=======>......................] - ETA: 0s - loss: 2.7194e-07 77/128 [=================>............] - ETA: 0s - loss: 2.8551e-07 119/128 [==========================>...] - ETA: 0s - loss: 2.8393e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.9902e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.9437e-07 42/128 [========>.....................] - ETA: 0s - loss: 2.5180e-07 82/128 [==================>...........] - ETA: 0s - loss: 2.8232e-07 124/128 [============================>.] - ETA: 0s - loss: 2.6787e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.6584e-07 -> 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 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 19s - loss: 1.6959e-07 43/128 [=========>....................] - ETA: 0s - loss: 4.5883e-07  85/128 [==================>...........] - ETA: 0s - loss: 0.0259  124/128 [============================>.] - ETA: 0s - loss: 0.0177 128/128 [==============================] - 0s 1ms/step - loss: 0.0173 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 5.4132e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.2806e-06 83/128 [==================>...........] - ETA: 0s - loss: 1.1659e-06 124/128 [============================>.] - ETA: 0s - loss: 1.1218e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.1130e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 6.0880e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.3386e-06 80/128 [=================>............] - ETA: 0s - loss: 1.1094e-06 120/128 [===========================>..] - ETA: 0s - loss: 1.0835e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.0614e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 7.7966e-07 42/128 [========>.....................] - ETA: 0s - loss: 8.1668e-07 83/128 [==================>...........] - ETA: 0s - loss: 9.0344e-07 125/128 [============================>.] - ETA: 0s - loss: 1.0133e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.0129e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 8.0627e-07 42/128 [========>.....................] - ETA: 0s - loss: 9.7024e-07 82/128 [==================>...........] - ETA: 0s - loss: 1.0642e-06 117/128 [==========================>...] - ETA: 0s - loss: 9.9225e-07 128/128 [==============================] - 0s 1ms/step - loss: 9.6602e-07 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 7.1629e-07 34/128 [======>.......................] - ETA: 0s - loss: 9.3585e-07 71/128 [===============>..............] - ETA: 0s - loss: 9.4276e-07 104/128 [=======================>......] - ETA: 0s - loss: 9.3906e-07 128/128 [==============================] - 0s 1ms/step - loss: 9.2013e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 4.2865e-07 40/128 [========>.....................] - ETA: 0s - loss: 8.5455e-07 81/128 [=================>............] - ETA: 0s - loss: 9.6786e-07 120/128 [===========================>..] - ETA: 0s - loss: 8.9827e-07 128/128 [==============================] - 0s 1ms/step - loss: 8.7693e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 6.2222e-07 41/128 [========>.....................] - ETA: 0s - loss: 7.4177e-07 79/128 [=================>............] - ETA: 0s - loss: 7.7624e-07 119/128 [==========================>...] - ETA: 0s - loss: 7.8098e-07 128/128 [==============================] - 0s 1ms/step - loss: 8.3382e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 7.5704e-07 36/128 [=======>......................] - ETA: 0s - loss: 6.8410e-07 72/128 [===============>..............] - ETA: 0s - loss: 7.3022e-07 110/128 [========================>.....] - ETA: 0s - loss: 7.8838e-07 128/128 [==============================] - 0s 1ms/step - loss: 7.9299e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 4.3117e-06 39/128 [========>.....................] - ETA: 0s - loss: 6.4382e-07 79/128 [=================>............] - ETA: 0s - loss: 7.7671e-07 120/128 [===========================>..] - ETA: 0s - loss: 7.6301e-07 128/128 [==============================] - 0s 1ms/step - loss: 7.5372e-07 -> 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 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: 1.9466e-07 38/128 [=======>......................] - ETA: 0s - loss: 1.4275e-07  71/128 [===============>..............] - ETA: 0s - loss: 1.4004e-07 107/128 [========================>.....] - ETA: 0s - loss: 2.0696e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.9298e-07 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 5.7149e-08 37/128 [=======>......................] - ETA: 0s - loss: 2.1907e-07 75/128 [================>.............] - ETA: 0s - loss: 1.8851e-07 114/128 [=========================>....] - ETA: 0s - loss: 1.5551e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.4875e-07 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 6.5061e-08 39/128 [========>.....................] - ETA: 0s - loss: 7.6679e-08 74/128 [================>.............] - ETA: 0s - loss: 1.2035e-07 110/128 [========================>.....] - ETA: 0s - loss: 1.0563e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.2253e-07 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 6.3106e-08 37/128 [=======>......................] - ETA: 0s - loss: 7.2958e-08 71/128 [===============>..............] - ETA: 0s - loss: 1.0887e-07 108/128 [========================>.....] - ETA: 0s - loss: 1.1223e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.0483e-07 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.1564e-08 36/128 [=======>......................] - ETA: 0s - loss: 6.2142e-08 72/128 [===============>..............] - ETA: 0s - loss: 8.7129e-08 106/128 [=======================>......] - ETA: 0s - loss: 1.0108e-07 128/128 [==============================] - 0s 1ms/step - loss: 9.2026e-08 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.8920e-08 38/128 [=======>......................] - ETA: 0s - loss: 1.1964e-07 75/128 [================>.............] - ETA: 0s - loss: 8.5811e-08 108/128 [========================>.....] - ETA: 0s - loss: 7.5221e-08 128/128 [==============================] - 0s 1ms/step - loss: 8.2180e-08 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 3.5768e-08 37/128 [=======>......................] - ETA: 0s - loss: 4.7608e-08 76/128 [================>.............] - ETA: 0s - loss: 8.2863e-08 113/128 [=========================>....] - ETA: 0s - loss: 7.9290e-08 128/128 [==============================] - 0s 1ms/step - loss: 7.4531e-08 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 6.7944e-09 34/128 [======>.......................] - ETA: 0s - loss: 1.1453e-07 68/128 [==============>...............] - ETA: 0s - loss: 9.1356e-08 103/128 [=======================>......] - ETA: 0s - loss: 7.4148e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.8351e-08 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 3.5250e-08 36/128 [=======>......................] - ETA: 0s - loss: 3.4198e-08 72/128 [===============>..............] - ETA: 0s - loss: 3.4205e-08 106/128 [=======================>......] - ETA: 0s - loss: 6.8738e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.3246e-08 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.3834e-08 38/128 [=======>......................] - ETA: 0s - loss: 4.9979e-08 72/128 [===============>..............] - ETA: 0s - loss: 7.8494e-08 108/128 [========================>.....] - ETA: 0s - loss: 6.3522e-08 128/128 [==============================] - 0s 1ms/step - loss: 5.8944e-08 -> 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: 19s - loss: 3.6308e-07 41/128 [========>.....................] - ETA: 0s - loss: 3.4488e-07  80/128 [=================>............] - ETA: 0s - loss: 3.1783e-07 121/128 [===========================>..] - ETA: 0s - loss: 3.1177e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.0999e-07 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 4.5219e-07 42/128 [========>.....................] - ETA: 0s - loss: 2.5939e-07 81/128 [=================>............] - ETA: 0s - loss: 2.7879e-07 122/128 [===========================>..] - ETA: 0s - loss: 2.7033e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.7101e-07 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.8165e-07 34/128 [======>.......................] - ETA: 0s - loss: 2.4097e-07 68/128 [==============>...............] - ETA: 0s - loss: 2.5357e-07 103/128 [=======================>......] - ETA: 0s - loss: 2.4329e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.3931e-07 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.7913e-07 43/128 [=========>....................] - ETA: 0s - loss: 2.1600e-07 84/128 [==================>...........] - ETA: 0s - loss: 2.1553e-07 125/128 [============================>.] - ETA: 0s - loss: 2.1373e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.1314e-07 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.6275e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.9986e-07 81/128 [=================>............] - ETA: 0s - loss: 2.0088e-07 122/128 [===========================>..] - ETA: 0s - loss: 1.9222e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.9073e-07 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.3902e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.6257e-07 81/128 [=================>............] - ETA: 0s - loss: 1.7449e-07 119/128 [==========================>...] - ETA: 0s - loss: 1.7341e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.7152e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.7937e-07 43/128 [=========>....................] - ETA: 0s - loss: 1.6255e-07 80/128 [=================>............] - ETA: 0s - loss: 1.5683e-07 119/128 [==========================>...] - ETA: 0s - loss: 1.5488e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.5501e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.2754e-07 40/128 [========>.....................] - ETA: 0s - loss: 1.4182e-07 80/128 [=================>............] - ETA: 0s - loss: 1.4223e-07 120/128 [===========================>..] - ETA: 0s - loss: 1.4169e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.4061e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.2482e-07 44/128 [=========>....................] - ETA: 0s - loss: 1.2405e-07 83/128 [==================>...........] - ETA: 0s - loss: 1.2889e-07 121/128 [===========================>..] - ETA: 0s - loss: 1.2786e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.2786e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.0251e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.2817e-07 82/128 [==================>...........] - ETA: 0s - loss: 1.2040e-07 123/128 [===========================>..] - ETA: 0s - loss: 1.1719e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.1645e-07 -> 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: 19s - loss: 4.3874e-07 36/128 [=======>......................] - ETA: 0s - loss: 3.7870e-07  77/128 [=================>............] - ETA: 0s - loss: 3.3940e-07 117/128 [==========================>...] - ETA: 0s - loss: 3.3919e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.3668e-07 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.3452e-07 39/128 [========>.....................] - ETA: 0s - loss: 3.0675e-07 74/128 [================>.............] - ETA: 0s - loss: 3.1919e-07 109/128 [========================>.....] - ETA: 0s - loss: 3.0799e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.0092e-07 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.7240e-07 42/128 [========>.....................] - ETA: 0s - loss: 2.6024e-07 83/128 [==================>...........] - ETA: 0s - loss: 2.5415e-07 123/128 [===========================>..] - ETA: 0s - loss: 2.6266e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.7250e-07 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.8396e-07 40/128 [========>.....................] - ETA: 0s - loss: 2.4651e-07 77/128 [=================>............] - ETA: 0s - loss: 2.4812e-07 116/128 [==========================>...] - ETA: 0s - loss: 2.5444e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.4796e-07 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.9985e-07 40/128 [========>.....................] - ETA: 0s - loss: 2.3350e-07 80/128 [=================>............] - ETA: 0s - loss: 2.2739e-07 117/128 [==========================>...] - ETA: 0s - loss: 2.2608e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.2622e-07 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.9938e-07 42/128 [========>.....................] - ETA: 0s - loss: 2.2776e-07 80/128 [=================>............] - ETA: 0s - loss: 2.1649e-07 114/128 [=========================>....] - ETA: 0s - loss: 2.0800e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.0675e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 8.2068e-08 36/128 [=======>......................] - ETA: 0s - loss: 1.8458e-07 77/128 [=================>............] - ETA: 0s - loss: 1.7782e-07 116/128 [==========================>...] - ETA: 0s - loss: 1.9055e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.8945e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.7004e-07 39/128 [========>.....................] - ETA: 0s - loss: 1.5722e-07 78/128 [=================>............] - ETA: 0s - loss: 1.8400e-07 118/128 [==========================>...] - ETA: 0s - loss: 1.7443e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.7402e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.1206e-07 40/128 [========>.....................] - ETA: 0s - loss: 1.9715e-07 75/128 [================>.............] - ETA: 0s - loss: 1.6714e-07 115/128 [=========================>....] - ETA: 0s - loss: 1.5707e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.6031e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.1318e-07 39/128 [========>.....................] - ETA: 0s - loss: 1.4962e-07 76/128 [================>.............] - ETA: 0s - loss: 1.3735e-07 114/128 [=========================>....] - ETA: 0s - loss: 1.5028e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.4789e-07 -> 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 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: 20s - loss: 1.6506e-08 41/128 [========>.....................] - ETA: 0s - loss: 2.9773e-08  78/128 [=================>............] - ETA: 0s - loss: 2.9764e-08 120/128 [===========================>..] - ETA: 0s - loss: 0.0072  128/128 [==============================] - 0s 1ms/step - loss: 0.0069 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 3.1446e-04 38/128 [=======>......................] - ETA: 0s - loss: 5.3862e-05 79/128 [=================>............] - ETA: 0s - loss: 2.7983e-05 116/128 [==========================>...] - ETA: 0s - loss: 2.0037e-05 128/128 [==============================] - 0s 1ms/step - loss: 1.8538e-05 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.9488e-06 40/128 [========>.....................] - ETA: 0s - loss: 2.6107e-06 79/128 [=================>............] - ETA: 0s - loss: 2.3662e-06 120/128 [===========================>..] - ETA: 0s - loss: 2.2034e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.1631e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.3588e-06 37/128 [=======>......................] - ETA: 0s - loss: 1.6760e-06 77/128 [=================>............] - ETA: 0s - loss: 1.5579e-06 112/128 [=========================>....] - ETA: 0s - loss: 1.4661e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.4596e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.5308e-06 41/128 [========>.....................] - ETA: 0s - loss: 1.1672e-06 78/128 [=================>............] - ETA: 0s - loss: 1.1730e-06 119/128 [==========================>...] - ETA: 0s - loss: 1.0935e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.0711e-06 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 7.2565e-07 41/128 [========>.....................] - ETA: 0s - loss: 9.2382e-07 76/128 [================>.............] - ETA: 0s - loss: 9.0005e-07 105/128 [=======================>......] - ETA: 0s - loss: 8.4419e-07 128/128 [==============================] - 0s 1ms/step - loss: 8.2840e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 6.6050e-07 36/128 [=======>......................] - ETA: 0s - loss: 6.6008e-07 73/128 [================>.............] - ETA: 0s - loss: 6.7840e-07 106/128 [=======================>......] - ETA: 0s - loss: 6.6207e-07 128/128 [==============================] - 0s 1ms/step - loss: 6.6396e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 6.6969e-07 41/128 [========>.....................] - ETA: 0s - loss: 6.2800e-07 78/128 [=================>............] - ETA: 0s - loss: 5.8012e-07 119/128 [==========================>...] - ETA: 0s - loss: 5.4650e-07 128/128 [==============================] - 0s 1ms/step - loss: 5.4614e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 4.5073e-07 39/128 [========>.....................] - ETA: 0s - loss: 5.1221e-07 79/128 [=================>............] - ETA: 0s - loss: 4.7380e-07 117/128 [==========================>...] - ETA: 0s - loss: 4.6302e-07 128/128 [==============================] - 0s 1ms/step - loss: 4.5688e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.1691e-07 42/128 [========>.....................] - ETA: 0s - loss: 3.9218e-07 80/128 [=================>............] - ETA: 0s - loss: 3.9789e-07 120/128 [===========================>..] - ETA: 0s - loss: 3.8754e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.8825e-07 -> 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 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1229 synthetic samples -> retrain GAN for predict Epoch 1/10 1/128 [..............................] - ETA: 19s - loss: 2.4716e-06 42/128 [========>.....................] - ETA: 0s - loss: 3.9917e-06  83/128 [==================>...........] - ETA: 0s - loss: 3.8964e-06 123/128 [===========================>..] - ETA: 0s - loss: 3.7950e-06 128/128 [==============================] - 0s 1ms/step - loss: 3.8059e-06 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.9633e-06 41/128 [========>.....................] - ETA: 0s - loss: 3.4516e-06 82/128 [==================>...........] - ETA: 0s - loss: 3.4178e-06 122/128 [===========================>..] - ETA: 0s - loss: 3.4002e-06 128/128 [==============================] - 0s 1ms/step - loss: 3.4111e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 3.4189e-06 40/128 [========>.....................] - ETA: 0s - loss: 3.2074e-06 80/128 [=================>............] - ETA: 0s - loss: 3.1421e-06 121/128 [===========================>..] - ETA: 0s - loss: 3.1111e-06 128/128 [==============================] - 0s 1ms/step - loss: 3.0658e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.1566e-06 43/128 [=========>....................] - ETA: 0s - loss: 2.7577e-06 83/128 [==================>...........] - ETA: 0s - loss: 2.7864e-06 124/128 [============================>.] - ETA: 0s - loss: 2.7598e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.7619e-06 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.9052e-06 41/128 [========>.....................] - ETA: 0s - loss: 2.6163e-06 81/128 [=================>............] - ETA: 0s - loss: 2.5296e-06 121/128 [===========================>..] - ETA: 0s - loss: 2.4875e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.4964e-06 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.4710e-06 38/128 [=======>......................] - ETA: 0s - loss: 2.2401e-06 78/128 [=================>............] - ETA: 0s - loss: 2.2678e-06 112/128 [=========================>....] - ETA: 0s - loss: 2.2487e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.2610e-06 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.7842e-06 42/128 [========>.....................] - ETA: 0s - loss: 2.1976e-06 80/128 [=================>............] - ETA: 0s - loss: 2.1076e-06 121/128 [===========================>..] - ETA: 0s - loss: 2.0496e-06 128/128 [==============================] - 0s 1ms/step - loss: 2.0500e-06 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.6894e-06 42/128 [========>.....................] - ETA: 0s - loss: 1.9735e-06 80/128 [=================>............] - ETA: 0s - loss: 1.9399e-06 119/128 [==========================>...] - ETA: 0s - loss: 1.8612e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.8631e-06 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.1410e-06 42/128 [========>.....................] - ETA: 0s - loss: 1.7551e-06 81/128 [=================>............] - ETA: 0s - loss: 1.7312e-06 120/128 [===========================>..] - ETA: 0s - loss: 1.6924e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.6947e-06 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.8346e-06 41/128 [========>.....................] - ETA: 0s - loss: 1.5432e-06 76/128 [================>.............] - ETA: 0s - loss: 1.5302e-06 110/128 [========================>.....] - ETA: 0s - loss: 1.5432e-06 128/128 [==============================] - 0s 1ms/step - loss: 1.5421e-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: 20s - loss: 235.2566 42/128 [========>.....................] - ETA: 0s - loss: 17.7902  83/128 [==================>...........] - ETA: 0s - loss: 9.0024  124/128 [============================>.] - ETA: 0s - loss: 6.1460 128/128 [==============================] - 0s 1ms/step - loss: 6.0002 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 8.2609e-09 40/128 [========>.....................] - ETA: 0s - loss: 3.3767e-04 82/128 [==================>...........] - ETA: 0s - loss: 3.3540e-04 120/128 [===========================>..] - ETA: 0s - loss: 3.4310e-04 128/128 [==============================] - 0s 1ms/step - loss: 3.3887e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 3.1606e-04 35/128 [=======>......................] - ETA: 0s - loss: 2.7872e-04 67/128 [==============>...............] - ETA: 0s - loss: 3.0191e-04 99/128 [======================>.......] - ETA: 0s - loss: 2.8957e-04 128/128 [==============================] - 0s 2ms/step - loss: 2.9013e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.3955e-04 41/128 [========>.....................] - ETA: 0s - loss: 3.1439e-04 80/128 [=================>............] - ETA: 0s - loss: 2.5882e-04 120/128 [===========================>..] - ETA: 0s - loss: 2.6038e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.5871e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.2547e-04 40/128 [========>.....................] - ETA: 0s - loss: 2.6179e-04 79/128 [=================>............] - ETA: 0s - loss: 2.2941e-04 117/128 [==========================>...] - ETA: 0s - loss: 2.3604e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.3255e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.1639e-06 38/128 [=======>......................] - ETA: 0s - loss: 2.1471e-04 78/128 [=================>............] - ETA: 0s - loss: 2.0966e-04 116/128 [==========================>...] - ETA: 0s - loss: 2.1541e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.1039e-04 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.0480e-04 42/128 [========>.....................] - ETA: 0s - loss: 1.5239e-04 82/128 [==================>...........] - ETA: 0s - loss: 1.8294e-04 119/128 [==========================>...] - ETA: 0s - loss: 1.8949e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.9067e-04 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.7924e-04 35/128 [=======>......................] - ETA: 0s - loss: 1.7942e-04 70/128 [===============>..............] - ETA: 0s - loss: 1.7948e-04 108/128 [========================>.....] - ETA: 0s - loss: 1.7454e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.7317e-04 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 3.3892e-04 42/128 [========>.....................] - ETA: 0s - loss: 1.6992e-04 81/128 [=================>............] - ETA: 0s - loss: 1.7893e-04 120/128 [===========================>..] - ETA: 0s - loss: 1.5743e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.5717e-04 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 2.3198e-04 39/128 [========>.....................] - ETA: 0s - loss: 1.4100e-04 79/128 [=================>............] - ETA: 0s - loss: 1.4115e-04 117/128 [==========================>...] - ETA: 0s - loss: 1.4607e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.4340e-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 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: 20s - loss: 78.5023 42/128 [========>.....................] - ETA: 0s - loss: 3.1497  81/128 [=================>............] - ETA: 0s - loss: 1.6333 122/128 [===========================>..] - ETA: 0s - loss: 1.0845 128/128 [==============================] - 0s 1ms/step - loss: 1.0402 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.9709e-04 35/128 [=======>......................] - ETA: 0s - loss: 2.2211e-04 76/128 [================>.............] - ETA: 0s - loss: 2.2394e-04 116/128 [==========================>...] - ETA: 0s - loss: 2.1519e-04 128/128 [==============================] - 0s 1ms/step - loss: 2.1213e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 3.0739e-04 42/128 [========>.....................] - ETA: 0s - loss: 1.8737e-04 82/128 [==================>...........] - ETA: 0s - loss: 1.7588e-04 122/128 [===========================>..] - ETA: 0s - loss: 1.7517e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.7099e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.0248e-04 42/128 [========>.....................] - ETA: 0s - loss: 1.4282e-04 82/128 [==================>...........] - ETA: 0s - loss: 1.4073e-04 122/128 [===========================>..] - ETA: 0s - loss: 1.3837e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.4097e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 0.0000e+00 42/128 [========>.....................] - ETA: 0s - loss: 1.5880e-04 81/128 [=================>............] - ETA: 0s - loss: 1.2805e-04 119/128 [==========================>...] - ETA: 0s - loss: 1.1920e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.1776e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.9478e-37 41/128 [========>.....................] - ETA: 0s - loss: 9.3258e-05 77/128 [=================>............] - ETA: 0s - loss: 9.2549e-05 113/128 [=========================>....] - ETA: 0s - loss: 0.0120  128/128 [==============================] - 0s 1ms/step - loss: 0.0107 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.8036e-04 40/128 [========>.....................] - ETA: 0s - loss: 1.3240e-04 81/128 [=================>............] - ETA: 0s - loss: 1.0753e-04 121/128 [===========================>..] - ETA: 0s - loss: 1.1344e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.0991e-04 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 8.4251e-05 41/128 [========>.....................] - ETA: 0s - loss: 1.1139e-04 81/128 [=================>............] - ETA: 0s - loss: 1.0984e-04 113/128 [=========================>....] - ETA: 0s - loss: 1.0213e-04 128/128 [==============================] - 0s 1ms/step - loss: 9.8558e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.5223e-04 33/128 [======>.......................] - ETA: 0s - loss: 9.8116e-05 69/128 [===============>..............] - ETA: 0s - loss: 9.5777e-05 109/128 [========================>.....] - ETA: 0s - loss: 9.1379e-05 128/128 [==============================] - 0s 1ms/step - loss: 8.9314e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 3.7948e-08 42/128 [========>.....................] - ETA: 0s - loss: 8.9726e-05 79/128 [=================>............] - ETA: 0s - loss: 8.1496e-05 119/128 [==========================>...] - ETA: 0s - loss: 8.2574e-05 128/128 [==============================] - 0s 1ms/step - loss: 8.1783e-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 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: 21s - loss: 88.0266 42/128 [========>.....................] - ETA: 0s - loss: 3.4223  79/128 [=================>............] - ETA: 0s - loss: 1.8195 120/128 [===========================>..] - ETA: 0s - loss: 1.1979 128/128 [==============================] - 0s 1ms/step - loss: 1.1310 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 6.3586e-12 39/128 [========>.....................] - ETA: 0s - loss: 1.2066e-04 80/128 [=================>............] - ETA: 0s - loss: 1.0631e-04 119/128 [==========================>...] - ETA: 0s - loss: 1.0125e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.0052e-04 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 9.0368e-05 42/128 [========>.....................] - ETA: 0s - loss: 9.4227e-05 84/128 [==================>...........] - ETA: 0s - loss: 9.0022e-05 121/128 [===========================>..] - ETA: 0s - loss: 8.7774e-05 128/128 [==============================] - 0s 1ms/step - loss: 8.6655e-05 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.5656e-04 33/128 [======>.......................] - ETA: 0s - loss: 9.3272e-05 67/128 [==============>...............] - ETA: 0s - loss: 8.4631e-05 105/128 [=======================>......] - ETA: 0s - loss: 7.5839e-05 128/128 [==============================] - 0s 1ms/step - loss: 7.5782e-05 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 6.4767e-14 40/128 [========>.....................] - ETA: 0s - loss: 6.9033e-05 79/128 [=================>............] - ETA: 0s - loss: 6.6899e-05 117/128 [==========================>...] - ETA: 0s - loss: 6.3289e-05 128/128 [==============================] - 0s 1ms/step - loss: 6.6409e-05 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.1075e-15 39/128 [========>.....................] - ETA: 0s - loss: 5.6191e-05 76/128 [================>.............] - ETA: 0s - loss: 6.1045e-05 116/128 [==========================>...] - ETA: 0s - loss: 5.9763e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.8312e-05 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.5850e-04 41/128 [========>.....................] - ETA: 0s - loss: 6.4334e-05 80/128 [=================>............] - ETA: 0s - loss: 5.7081e-05 120/128 [===========================>..] - ETA: 0s - loss: 5.2749e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.1271e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 4.6529e-05 40/128 [========>.....................] - ETA: 0s - loss: 5.0318e-05 80/128 [=================>............] - ETA: 0s - loss: 4.7154e-05 121/128 [===========================>..] - ETA: 0s - loss: 4.6211e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.5294e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.8667e-19 42/128 [========>.....................] - ETA: 0s - loss: 4.4252e-05 83/128 [==================>...........] - ETA: 0s - loss: 4.1106e-05 122/128 [===========================>..] - ETA: 0s - loss: 3.9292e-05 128/128 [==============================] - 0s 1ms/step - loss: 4.0015e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.1588e-20 39/128 [========>.....................] - ETA: 0s - loss: 4.2065e-05 80/128 [=================>............] - ETA: 0s - loss: 3.6336e-05 120/128 [===========================>..] - ETA: 0s - loss: 3.5220e-05 128/128 [==============================] - 0s 1ms/step - loss: 3.5272e-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: 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: 24s - loss: 4.8101e-07 28/128 [=====>........................] - ETA: 0s - loss: 2.8452e-06  56/128 [============>.................] - ETA: 0s - loss: 1.8062e-06 87/128 [===================>..........] - ETA: 0s - loss: 1.5203e-06 117/128 [==========================>...] - ETA: 0s - loss: 1.3607e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.3116e-06 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 3.8413e-06 31/128 [======>.......................] - ETA: 0s - loss: 8.1716e-07 48/128 [==========>...................] - ETA: 0s - loss: 9.1891e-07 71/128 [===============>..............] - ETA: 0s - loss: 8.1667e-07 101/128 [======================>.......] - ETA: 0s - loss: 7.7610e-07 128/128 [==============================] - 0s 2ms/step - loss: 1.1810e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 8.7515e-07 32/128 [======>.......................] - ETA: 0s - loss: 7.9449e-07 60/128 [=============>................] - ETA: 0s - loss: 6.8034e-07 93/128 [====================>.........] - ETA: 0s - loss: 6.6228e-07 127/128 [============================>.] - ETA: 0s - loss: 1.0671e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.0665e-06 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 7.2639e-07 32/128 [======>.......................] - ETA: 0s - loss: 7.1542e-07 66/128 [==============>...............] - ETA: 0s - loss: 6.2472e-07 96/128 [=====================>........] - ETA: 0s - loss: 1.0579e-06 128/128 [==============================] - 0s 2ms/step - loss: 9.6445e-07 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 3.1212e-07 38/128 [=======>......................] - ETA: 0s - loss: 1.5537e-06 77/128 [=================>............] - ETA: 0s - loss: 1.0658e-06 110/128 [========================>.....] - ETA: 0s - loss: 9.1411e-07 128/128 [==============================] - 0s 1ms/step - loss: 8.7220e-07 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 4.8279e-07 33/128 [======>.......................] - ETA: 0s - loss: 5.5859e-07 67/128 [==============>...............] - ETA: 0s - loss: 1.1062e-06 101/128 [======================>.......] - ETA: 0s - loss: 8.7879e-07 128/128 [==============================] - 0s 2ms/step - loss: 7.8859e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 4.6167e-07 33/128 [======>.......................] - ETA: 0s - loss: 4.9929e-07 65/128 [==============>...............] - ETA: 0s - loss: 4.7425e-07 99/128 [======================>.......] - ETA: 0s - loss: 7.7653e-07 127/128 [============================>.] - ETA: 0s - loss: 7.1097e-07 128/128 [==============================] - 0s 2ms/step - loss: 7.1134e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 3.4092e-07 32/128 [======>.......................] - ETA: 0s - loss: 4.2516e-07 67/128 [==============>...............] - ETA: 0s - loss: 4.5640e-07 103/128 [=======================>......] - ETA: 0s - loss: 4.7547e-07 128/128 [==============================] - 0s 2ms/step - loss: 6.3940e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.3220e-07 37/128 [=======>......................] - ETA: 0s - loss: 4.0863e-07 71/128 [===============>..............] - ETA: 0s - loss: 4.2687e-07 105/128 [=======================>......] - ETA: 0s - loss: 6.3668e-07 128/128 [==============================] - 0s 1ms/step - loss: 5.7411e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 4.2397e-07 39/128 [========>.....................] - ETA: 0s - loss: 4.2655e-07 77/128 [=================>............] - ETA: 0s - loss: 3.6015e-07 115/128 [=========================>....] - ETA: 0s - loss: 5.3001e-07 128/128 [==============================] - 0s 1ms/step - loss: 5.1593e-07 -> 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: 22s - loss: 3.4442e-08 41/128 [========>.....................] - ETA: 0s - loss: 3.2073e-08  81/128 [=================>............] - ETA: 0s - loss: 3.8749e-08 118/128 [==========================>...] - ETA: 0s - loss: 3.7943e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.6944e-08 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.3021e-08 32/128 [======>.......................] - ETA: 0s - loss: 2.4670e-08 66/128 [==============>...............] - ETA: 0s - loss: 2.5755e-08 105/128 [=======================>......] - ETA: 0s - loss: 3.0431e-08 128/128 [==============================] - 0s 1ms/step - loss: 3.0182e-08 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 3.7443e-08 41/128 [========>.....................] - ETA: 0s - loss: 3.7268e-08 81/128 [=================>............] - ETA: 0s - loss: 2.9908e-08 120/128 [===========================>..] - ETA: 0s - loss: 2.6113e-08 128/128 [==============================] - 0s 1ms/step - loss: 2.6144e-08 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.9881e-08 42/128 [========>.....................] - ETA: 0s - loss: 2.0182e-08 82/128 [==================>...........] - ETA: 0s - loss: 2.1099e-08 122/128 [===========================>..] - ETA: 0s - loss: 2.3969e-08 128/128 [==============================] - 0s 1ms/step - loss: 2.3691e-08 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 9.6765e-09 42/128 [========>.....................] - ETA: 0s - loss: 3.2313e-08 82/128 [==================>...........] - ETA: 0s - loss: 2.4812e-08 122/128 [===========================>..] - ETA: 0s - loss: 2.2130e-08 128/128 [==============================] - 0s 1ms/step - loss: 2.1809e-08 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.4389e-08 42/128 [========>.....................] - ETA: 0s - loss: 1.8372e-08 83/128 [==================>...........] - ETA: 0s - loss: 1.6453e-08 123/128 [===========================>..] - ETA: 0s - loss: 2.0491e-08 128/128 [==============================] - 0s 1ms/step - loss: 2.0329e-08 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.5622e-08 38/128 [=======>......................] - ETA: 0s - loss: 1.5838e-08 75/128 [================>.............] - ETA: 0s - loss: 1.4645e-08 114/128 [=========================>....] - ETA: 0s - loss: 1.4442e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.9102e-08 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.4594e-08 41/128 [========>.....................] - ETA: 0s - loss: 1.3668e-08 81/128 [=================>............] - ETA: 0s - loss: 2.0375e-08 121/128 [===========================>..] - ETA: 0s - loss: 1.8347e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.8048e-08 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 9.5695e-09 41/128 [========>.....................] - ETA: 0s - loss: 1.2387e-08 81/128 [=================>............] - ETA: 0s - loss: 1.2446e-08 120/128 [===========================>..] - ETA: 0s - loss: 1.7650e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.7199e-08 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.3870e-08 41/128 [========>.....................] - ETA: 0s - loss: 1.1337e-08 82/128 [==================>...........] - ETA: 0s - loss: 1.8902e-08 122/128 [===========================>..] - ETA: 0s - loss: 1.6564e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.6447e-08 -> 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: 22s - loss: 1.7184e-08 37/128 [=======>......................] - ETA: 0s - loss: 4.7070e-08  78/128 [=================>............] - ETA: 0s - loss: 3.3983e-08 114/128 [=========================>....] - ETA: 0s - loss: 3.1161e-08 128/128 [==============================] - 0s 1ms/step - loss: 2.9656e-08 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.3957e-08 34/128 [======>.......................] - ETA: 0s - loss: 1.9367e-08 67/128 [==============>...............] - ETA: 0s - loss: 2.6507e-08 103/128 [=======================>......] - ETA: 0s - loss: 2.3415e-08 128/128 [==============================] - 0s 1ms/step - loss: 2.2401e-08 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 6.6676e-09 37/128 [=======>......................] - ETA: 0s - loss: 1.5104e-08 76/128 [================>.............] - ETA: 0s - loss: 2.2661e-08 110/128 [========================>.....] - ETA: 0s - loss: 1.9727e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.8814e-08 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 5.7863e-09 38/128 [=======>......................] - ETA: 0s - loss: 2.9410e-08 74/128 [================>.............] - ETA: 0s - loss: 2.1074e-08 113/128 [=========================>....] - ETA: 0s - loss: 1.7673e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.6827e-08 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.2877e-08 41/128 [========>.....................] - ETA: 0s - loss: 9.3491e-09 77/128 [=================>............] - ETA: 0s - loss: 1.0461e-08 117/128 [==========================>...] - ETA: 0s - loss: 1.5484e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.5326e-08 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 4.8657e-09 36/128 [=======>......................] - ETA: 0s - loss: 2.5912e-08 73/128 [================>.............] - ETA: 0s - loss: 1.6865e-08 107/128 [========================>.....] - ETA: 0s - loss: 1.5241e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.4239e-08 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 8.3400e-09 40/128 [========>.....................] - ETA: 0s - loss: 8.9617e-09 74/128 [================>.............] - ETA: 0s - loss: 8.3184e-09 114/128 [=========================>....] - ETA: 0s - loss: 1.4180e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.3436e-08 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 5.6068e-09 36/128 [=======>......................] - ETA: 0s - loss: 8.9783e-09 75/128 [================>.............] - ETA: 0s - loss: 1.6450e-08 111/128 [=========================>....] - ETA: 0s - loss: 1.3685e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.2832e-08 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 7.6180e-09 36/128 [=======>......................] - ETA: 0s - loss: 8.6971e-09 76/128 [================>.............] - ETA: 0s - loss: 7.6708e-09 115/128 [=========================>....] - ETA: 0s - loss: 7.6135e-09 128/128 [==============================] - 0s 1ms/step - loss: 1.2321e-08 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.5977e-08 39/128 [========>.....................] - ETA: 0s - loss: 7.1795e-09 80/128 [=================>............] - ETA: 0s - loss: 6.8972e-09 122/128 [===========================>..] - ETA: 0s - loss: 1.2163e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.1847e-08 -> 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: 21s - loss: 1.7968e-06 40/128 [========>.....................] - ETA: 0s - loss: 0.0017  81/128 [=================>............] - ETA: 0s - loss: 0.0012 122/128 [===========================>..] - ETA: 0s - loss: 0.0014 128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.2522e-06 41/128 [========>.....................] - ETA: 0s - loss: 0.0016  75/128 [================>.............] - ETA: 0s - loss: 8.8529e-04 114/128 [=========================>....] - ETA: 0s - loss: 0.0014  128/128 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 7.4200e-08 35/128 [=======>......................] - ETA: 0s - loss: 0.0019  70/128 [===============>..............] - ETA: 0s - loss: 0.0014 106/128 [=======================>......] - ETA: 0s - loss: 0.0015 128/128 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 3.1727e-08 40/128 [========>.....................] - ETA: 0s - loss: 0.0040  80/128 [=================>............] - ETA: 0s - loss: 0.0020 120/128 [===========================>..] - ETA: 0s - loss: 0.0016 128/128 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.6300e-08 43/128 [=========>....................] - ETA: 0s - loss: 0.0015  82/128 [==================>...........] - ETA: 0s - loss: 0.0015 123/128 [===========================>..] - ETA: 0s - loss: 0.0015 128/128 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 8.5326e-09 42/128 [========>.....................] - ETA: 0s - loss: 7.2542e-04 83/128 [==================>...........] - ETA: 0s - loss: 0.0011  123/128 [===========================>..] - ETA: 0s - loss: 0.0012 128/128 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 0.0297 41/128 [========>.....................] - ETA: 0s - loss: 0.0022 81/128 [=================>............] - ETA: 0s - loss: 0.0015 121/128 [===========================>..] - ETA: 0s - loss: 0.0012 128/128 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.4977e-09 40/128 [========>.....................] - ETA: 0s - loss: 0.0014  79/128 [=================>............] - ETA: 0s - loss: 0.0014 120/128 [===========================>..] - ETA: 0s - loss: 0.0014 128/128 [==============================] - 0s 1ms/step - loss: 0.0013 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 7.9950e-10 41/128 [========>.....................] - ETA: 0s - loss: 0.0013  81/128 [=================>............] - ETA: 0s - loss: 0.0010 121/128 [===========================>..] - ETA: 0s - loss: 0.0011 128/128 [==============================] - 0s 1ms/step - loss: 0.0013 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 0.0264 39/128 [========>.....................] - ETA: 0s - loss: 0.0013 79/128 [=================>............] - ETA: 0s - loss: 9.9141e-04 119/128 [==========================>...] - ETA: 0s - loss: 0.0013  128/128 [==============================] - 0s 1ms/step - loss: 0.0012 -> 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: 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: 20s - loss: 2.5369e-09 39/128 [========>.....................] - ETA: 0s - loss: 3.8608e-09  80/128 [=================>............] - ETA: 0s - loss: 1.4327e-08 119/128 [==========================>...] - ETA: 0s - loss: 1.0673e-08 128/128 [==============================] - 0s 1ms/step - loss: 1.0170e-08 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 5.5606e-09 41/128 [========>.....................] - ETA: 0s - loss: 3.0073e-09 81/128 [=================>............] - ETA: 0s - loss: 1.3705e-08 120/128 [===========================>..] - ETA: 0s - loss: 1.0234e-08 128/128 [==============================] - 0s 1ms/step - loss: 9.7902e-09 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.3074e-09 39/128 [========>.....................] - ETA: 0s - loss: 2.5959e-09 79/128 [=================>............] - ETA: 0s - loss: 2.4500e-09 119/128 [==========================>...] - ETA: 0s - loss: 1.0033e-08 128/128 [==============================] - 0s 1ms/step - loss: 9.4836e-09 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.0689e-09 40/128 [========>.....................] - ETA: 0s - loss: 2.4564e-08 79/128 [=================>............] - ETA: 0s - loss: 1.3324e-08 118/128 [==========================>...] - ETA: 0s - loss: 9.7722e-09 128/128 [==============================] - 0s 1ms/step - loss: 9.2345e-09 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 2.3253e-09 39/128 [========>.....................] - ETA: 0s - loss: 2.1466e-09 79/128 [=================>............] - ETA: 0s - loss: 2.2452e-09 118/128 [==========================>...] - ETA: 0s - loss: 2.1115e-09 128/128 [==============================] - 0s 1ms/step - loss: 9.0351e-09 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.6784e-09 39/128 [========>.....................] - ETA: 0s - loss: 2.4456e-08 79/128 [=================>............] - ETA: 0s - loss: 1.3243e-08 115/128 [=========================>....] - ETA: 0s - loss: 9.6463e-09 128/128 [==============================] - 0s 1ms/step - loss: 8.8736e-09 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 2.4278e-10 41/128 [========>.....................] - ETA: 0s - loss: 2.3422e-08 79/128 [=================>............] - ETA: 0s - loss: 1.2962e-08 120/128 [===========================>..] - ETA: 0s - loss: 9.0990e-09 128/128 [==============================] - 0s 1ms/step - loss: 8.7287e-09 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 7.6210e-11 42/128 [========>.....................] - ETA: 0s - loss: 1.8424e-09 77/128 [=================>............] - ETA: 0s - loss: 1.8086e-09 110/128 [========================>.....] - ETA: 0s - loss: 1.6944e-09 128/128 [==============================] - 0s 1ms/step - loss: 8.6065e-09 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 1.0314e-09 40/128 [========>.....................] - ETA: 0s - loss: 1.7332e-09 80/128 [=================>............] - ETA: 0s - loss: 1.2545e-08 121/128 [===========================>..] - ETA: 0s - loss: 8.8692e-09 128/128 [==============================] - 0s 1ms/step - loss: 8.5005e-09 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.0882e-09 41/128 [========>.....................] - ETA: 0s - loss: 1.5610e-09 80/128 [=================>............] - ETA: 0s - loss: 1.2453e-08 118/128 [==========================>...] - ETA: 0s - loss: 8.9397e-09 128/128 [==============================] - 0s 1ms/step - loss: 8.4028e-09 -> 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: 35s - loss: 1.1455e-06 26/128 [=====>........................] - ETA: 0s - loss: 1.3849e-06  49/128 [==========>...................] - ETA: 0s - loss: 1.5280e-06 73/128 [================>.............] - ETA: 0s - loss: 1.2868e-06 99/128 [======================>.......] - ETA: 0s - loss: 1.4991e-06 125/128 [============================>.] - ETA: 0s - loss: 1.4991e-06 128/128 [==============================] - 1s 2ms/step - loss: 1.4882e-06 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 5.1774e-07 27/128 [=====>........................] - ETA: 0s - loss: 1.0303e-06 53/128 [===========>..................] - ETA: 0s - loss: 1.2457e-06 78/128 [=================>............] - ETA: 0s - loss: 1.1660e-06 97/128 [=====================>........] - ETA: 0s - loss: 1.2321e-06 112/128 [=========================>....] - ETA: 0s - loss: 1.1584e-06 128/128 [==============================] - 0s 2ms/step - loss: 1.1575e-06 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 6.8440e-07 18/128 [===>..........................] - ETA: 0s - loss: 6.5678e-07 35/128 [=======>......................] - ETA: 0s - loss: 6.4482e-07 49/128 [==========>...................] - ETA: 0s - loss: 7.5631e-07 71/128 [===============>..............] - ETA: 0s - loss: 8.8190e-07 92/128 [====================>.........] - ETA: 0s - loss: 9.9529e-07 114/128 [=========================>....] - ETA: 0s - loss: 1.0041e-06 128/128 [==============================] - ETA: 0s - loss: 9.4893e-07 128/128 [==============================] - 0s 3ms/step - loss: 9.4893e-07 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 4.7978e-07 13/128 [==>...........................] - ETA: 0s - loss: 9.6574e-07 29/128 [=====>........................] - ETA: 0s - loss: 8.6907e-07 47/128 [==========>...................] - ETA: 0s - loss: 1.1496e-06 63/128 [=============>................] - ETA: 0s - loss: 1.1493e-06 80/128 [=================>............] - ETA: 0s - loss: 1.0057e-06 98/128 [=====================>........] - ETA: 0s - loss: 8.9727e-07 113/128 [=========================>....] - ETA: 0s - loss: 8.4307e-07 128/128 [==============================] - 0s 3ms/step - loss: 8.0202e-07 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 5.4558e-07 12/128 [=>............................] - ETA: 0s - loss: 5.6640e-07 18/128 [===>..........................] - ETA: 0s - loss: 5.2752e-07 25/128 [====>.........................] - ETA: 0s - loss: 6.5723e-07 33/128 [======>.......................] - ETA: 0s - loss: 7.3189e-07 48/128 [==========>...................] - ETA: 0s - loss: 7.2003e-07 63/128 [=============>................] - ETA: 0s - loss: 7.2064e-07 80/128 [=================>............] - ETA: 0s - loss: 7.5302e-07 97/128 [=====================>........] - ETA: 0s - loss: 7.7643e-07 116/128 [==========================>...] - ETA: 0s - loss: 7.2014e-07 128/128 [==============================] - 1s 4ms/step - loss: 6.8896e-07 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.9636e-07 17/128 [==>...........................] - ETA: 0s - loss: 6.4373e-07 33/128 [======>.......................] - ETA: 0s - loss: 6.6894e-07 50/128 [==========>...................] - ETA: 0s - loss: 7.8056e-07 66/128 [==============>...............] - ETA: 0s - loss: 7.7363e-07 81/128 [=================>............] - ETA: 0s - loss: 7.5209e-07 100/128 [======================>.......] - ETA: 0s - loss: 6.7234e-07 123/128 [===========================>..] - ETA: 0s - loss: 6.0816e-07 128/128 [==============================] - 0s 3ms/step - loss: 6.0239e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 3.3816e-06 23/128 [====>.........................] - ETA: 0s - loss: 7.9111e-07 44/128 [=========>....................] - ETA: 0s - loss: 5.8457e-07 67/128 [==============>...............] - ETA: 0s - loss: 4.9670e-07 84/128 [==================>...........] - ETA: 0s - loss: 4.9766e-07 102/128 [======================>.......] - ETA: 0s - loss: 5.2401e-07 123/128 [===========================>..] - ETA: 0s - loss: 5.3686e-07 128/128 [==============================] - 0s 3ms/step - loss: 5.3085e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 2.7340e-07 16/128 [==>...........................] - ETA: 0s - loss: 6.2685e-07 33/128 [======>.......................] - ETA: 0s - loss: 4.8289e-07 46/128 [=========>....................] - ETA: 0s - loss: 4.5022e-07 54/128 [===========>..................] - ETA: 0s - loss: 4.2910e-07 66/128 [==============>...............] - ETA: 0s - loss: 4.0709e-07 80/128 [=================>............] - ETA: 0s - loss: 4.9227e-07 96/128 [=====================>........] - ETA: 0s - loss: 4.5848e-07 114/128 [=========================>....] - ETA: 0s - loss: 4.5467e-07 128/128 [==============================] - 0s 4ms/step - loss: 4.7157e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 4.9117e-07 16/128 [==>...........................] - ETA: 0s - loss: 7.5255e-07 26/128 [=====>........................] - ETA: 0s - loss: 5.6676e-07 43/128 [=========>....................] - ETA: 0s - loss: 4.6109e-07 60/128 [=============>................] - ETA: 0s - loss: 4.7727e-07 83/128 [==================>...........] - ETA: 0s - loss: 4.1618e-07 113/128 [=========================>....] - ETA: 0s - loss: 4.1314e-07 128/128 [==============================] - 0s 3ms/step - loss: 4.2283e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 6.3226e-07 33/128 [======>.......................] - ETA: 0s - loss: 3.6676e-07 62/128 [=============>................] - ETA: 0s - loss: 3.2240e-07 88/128 [===================>..........] - ETA: 0s - loss: 3.4464e-07 117/128 [==========================>...] - ETA: 0s - loss: 3.6619e-07 128/128 [==============================] - 0s 2ms/step - loss: 3.8092e-07 -> 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: 22s - loss: 3.7249e-08 42/128 [========>.....................] - ETA: 0s - loss: 3.1686e-08  78/128 [=================>............] - ETA: 0s - loss: 1.1435e-07 118/128 [==========================>...] - ETA: 0s - loss: 8.4596e-08 128/128 [==============================] - 0s 1ms/step - loss: 8.0341e-08 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 1.5990e-08 42/128 [========>.....................] - ETA: 0s - loss: 2.2575e-08 82/128 [==================>...........] - ETA: 0s - loss: 1.0197e-07 123/128 [===========================>..] - ETA: 0s - loss: 7.3407e-08 128/128 [==============================] - 0s 1ms/step - loss: 7.1643e-08 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 2.5617e-08 41/128 [========>.....................] - ETA: 0s - loss: 1.7676e-07 83/128 [==================>...........] - ETA: 0s - loss: 9.5156e-08 124/128 [============================>.] - ETA: 0s - loss: 6.8161e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.7044e-08 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.6305e-08 42/128 [========>.....................] - ETA: 0s - loss: 1.3581e-08 79/128 [=================>............] - ETA: 0s - loss: 1.2945e-08 117/128 [==========================>...] - ETA: 0s - loss: 6.8768e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.4526e-08 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 7.4339e-09 40/128 [========>.....................] - ETA: 0s - loss: 1.1958e-08 81/128 [=================>............] - ETA: 0s - loss: 9.2709e-08 122/128 [===========================>..] - ETA: 0s - loss: 6.5156e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.3000e-08 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 4.9683e-09 43/128 [=========>....................] - ETA: 0s - loss: 1.0344e-08 83/128 [==================>...........] - ETA: 0s - loss: 8.9690e-08 124/128 [============================>.] - ETA: 0s - loss: 6.3119e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.1888e-08 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.1992e-08 41/128 [========>.....................] - ETA: 0s - loss: 9.1430e-09 83/128 [==================>...........] - ETA: 0s - loss: 8.8182e-08 124/128 [============================>.] - ETA: 0s - loss: 6.2266e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.0967e-08 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 9.6700e-09 42/128 [========>.....................] - ETA: 0s - loss: 9.2795e-09 78/128 [=================>............] - ETA: 0s - loss: 8.8690e-09 115/128 [=========================>....] - ETA: 0s - loss: 6.5754e-08 128/128 [==============================] - 0s 1ms/step - loss: 6.0198e-08 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 5.9641e-09 41/128 [========>.....................] - ETA: 0s - loss: 7.9564e-09 80/128 [=================>............] - ETA: 0s - loss: 8.9553e-08 119/128 [==========================>...] - ETA: 0s - loss: 6.3117e-08 128/128 [==============================] - 0s 1ms/step - loss: 5.9548e-08 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 7.3882e-09 41/128 [========>.....................] - ETA: 0s - loss: 1.6753e-07 81/128 [=================>............] - ETA: 0s - loss: 8.8406e-08 120/128 [===========================>..] - ETA: 0s - loss: 6.2132e-08 128/128 [==============================] - 0s 1ms/step - loss: 5.9005e-08 -> 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: 2.9707e-07 41/128 [========>.....................] - ETA: 0s - loss: 4.4659e-07  79/128 [=================>............] - ETA: 0s - loss: 4.1024e-07 117/128 [==========================>...] - ETA: 0s - loss: 3.8601e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.7662e-07 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 3.2724e-07 40/128 [========>.....................] - ETA: 0s - loss: 3.3977e-07 78/128 [=================>............] - ETA: 0s - loss: 3.2347e-07 118/128 [==========================>...] - ETA: 0s - loss: 3.1927e-07 128/128 [==============================] - 0s 1ms/step - loss: 3.1413e-07 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 1.9309e-07 40/128 [========>.....................] - ETA: 0s - loss: 3.3486e-07 79/128 [=================>............] - ETA: 0s - loss: 2.8217e-07 117/128 [==========================>...] - ETA: 0s - loss: 2.6750e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.6710e-07 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 2.6802e-07 40/128 [========>.....................] - ETA: 0s - loss: 2.1084e-07 78/128 [=================>............] - ETA: 0s - loss: 2.2047e-07 119/128 [==========================>...] - ETA: 0s - loss: 2.2360e-07 128/128 [==============================] - 0s 1ms/step - loss: 2.2903e-07 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.4937e-07 42/128 [========>.....................] - ETA: 0s - loss: 2.1922e-07 82/128 [==================>...........] - ETA: 0s - loss: 2.0475e-07 122/128 [===========================>..] - ETA: 0s - loss: 2.0041e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.9806e-07 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 1.4835e-07 40/128 [========>.....................] - ETA: 0s - loss: 1.8625e-07 80/128 [=================>............] - ETA: 0s - loss: 1.6138e-07 119/128 [==========================>...] - ETA: 0s - loss: 1.7189e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.7213e-07 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 8.4992e-08 41/128 [========>.....................] - ETA: 0s - loss: 1.5377e-07 80/128 [=================>............] - ETA: 0s - loss: 1.4663e-07 119/128 [==========================>...] - ETA: 0s - loss: 1.5355e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.5037e-07 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 1.5227e-07 40/128 [========>.....................] - ETA: 0s - loss: 1.2917e-07 77/128 [=================>............] - ETA: 0s - loss: 1.3139e-07 116/128 [==========================>...] - ETA: 0s - loss: 1.3068e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.3175e-07 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 7.4076e-08 41/128 [========>.....................] - ETA: 0s - loss: 1.1740e-07 81/128 [=================>............] - ETA: 0s - loss: 1.1675e-07 120/128 [===========================>..] - ETA: 0s - loss: 1.1758e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.1643e-07 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 7.1309e-07 41/128 [========>.....................] - ETA: 0s - loss: 1.1506e-07 80/128 [=================>............] - ETA: 0s - loss: 1.0945e-07 119/128 [==========================>...] - ETA: 0s - loss: 1.0556e-07 128/128 [==============================] - 0s 1ms/step - loss: 1.0338e-07 -> 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: 25s - loss: 1.0279e-04 44/128 [=========>....................] - ETA: 0s - loss: 1.0081e-04  87/128 [===================>..........] - ETA: 0s - loss: 0.0198  128/128 [==============================] - 0s 1ms/step - loss: 0.5033 Epoch 2/10 1/128 [..............................] - ETA: 0s - loss: 2.1047e-04 42/128 [========>.....................] - ETA: 0s - loss: 2.1470e-04 84/128 [==================>...........] - ETA: 0s - loss: 1.9651e-04 125/128 [============================>.] - ETA: 0s - loss: 0.0986  128/128 [==============================] - 0s 1ms/step - loss: 0.0971 Epoch 3/10 1/128 [..............................] - ETA: 0s - loss: 0.0208 38/128 [=======>......................] - ETA: 0s - loss: 0.0011 76/128 [================>.............] - ETA: 0s - loss: 6.2399e-04 114/128 [=========================>....] - ETA: 0s - loss: 4.6533e-04 128/128 [==============================] - 0s 1ms/step - loss: 4.3096e-04 Epoch 4/10 1/128 [..............................] - ETA: 0s - loss: 1.5922e-04 37/128 [=======>......................] - ETA: 0s - loss: 1.3141e-04 74/128 [================>.............] - ETA: 0s - loss: 1.3492e-04 111/128 [=========================>....] - ETA: 0s - loss: 1.4726e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.3514e-04 Epoch 5/10 1/128 [..............................] - ETA: 0s - loss: 1.3846e-04 38/128 [=======>......................] - ETA: 0s - loss: 1.5061e-04 75/128 [================>.............] - ETA: 0s - loss: 1.2172e-04 112/128 [=========================>....] - ETA: 0s - loss: 1.1782e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.1831e-04 Epoch 6/10 1/128 [..............................] - ETA: 0s - loss: 2.4464e-04 37/128 [=======>......................] - ETA: 0s - loss: 1.1713e-04 74/128 [================>.............] - ETA: 0s - loss: 1.1024e-04 110/128 [========================>.....] - ETA: 0s - loss: 1.1074e-04 128/128 [==============================] - 0s 1ms/step - loss: 1.0435e-04 Epoch 7/10 1/128 [..............................] - ETA: 0s - loss: 1.0772e-04 38/128 [=======>......................] - ETA: 0s - loss: 1.0630e-04 74/128 [================>.............] - ETA: 0s - loss: 1.0313e-04 111/128 [=========================>....] - ETA: 0s - loss: 9.1937e-05 128/128 [==============================] - 0s 1ms/step - loss: 9.2295e-05 Epoch 8/10 1/128 [..............................] - ETA: 0s - loss: 9.4985e-05 28/128 [=====>........................] - ETA: 0s - loss: 6.6933e-05 61/128 [=============>................] - ETA: 0s - loss: 7.0638e-05 98/128 [=====================>........] - ETA: 0s - loss: 7.8019e-05 128/128 [==============================] - 0s 2ms/step - loss: 7.8470e-05 Epoch 9/10 1/128 [..............................] - ETA: 0s - loss: 2.3513e-04 38/128 [=======>......................] - ETA: 0s - loss: 8.0011e-05 75/128 [================>.............] - ETA: 0s - loss: 6.8255e-05 112/128 [=========================>....] - ETA: 0s - loss: 6.7026e-05 128/128 [==============================] - 0s 1ms/step - loss: 6.4672e-05 Epoch 10/10 1/128 [..............................] - ETA: 0s - loss: 1.9258e-11 39/128 [========>.....................] - ETA: 0s - loss: 4.7101e-05 74/128 [================>.............] - ETA: 0s - loss: 5.2566e-05 111/128 [=========================>....] - ETA: 0s - loss: 5.1553e-05 128/128 [==============================] - 0s 1ms/step - loss: 5.3642e-05 -> 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: 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: 315, 2 GB fn, tp: 0, 9 GB f1 score: 0.900 GB cohens kappa score: 0.897 -> test with 'KNN' KNN tn, fp: 315, 2 KNN fn, tp: 0, 9 KNN f1 score: 0.900 KNN cohens kappa score: 0.897 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 318, 1 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: 317.68, 0.12 LR fn, tp: 0.0, 10.6 LR f1 score: 0.994 LR cohens kappa score: 0.994 LR average precision score: 0.997 minimum: LR tn, fp: 316, 0 LR fn, tp: 0, 9 LR f1 score: 0.947 LR cohens kappa score: 0.946 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, 2 GB fn, tp: 0, 11 GB f1 score: 1.000 GB cohens kappa score: 1.000 average: GB tn, fp: 317.72, 0.08 GB fn, tp: 0.0, 10.6 GB f1 score: 0.996 GB cohens kappa score: 0.996 minimum: GB tn, fp: 315, 0 GB fn, tp: 0, 9 GB f1 score: 0.900 GB cohens kappa score: 0.897 -----[ 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: 317.48, 0.32 KNN fn, tp: 0.0, 10.6 KNN f1 score: 0.985 KNN cohens kappa score: 0.985 minimum: KNN tn, fp: 315, 0 KNN fn, tp: 0, 9 KNN f1 score: 0.900 KNN cohens kappa score: 0.897 -----[ 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: 317.72, 0.08 GAN fn, tp: 0.0, 10.6 GAN f1 score: 0.996 GAN cohens kappa score: 0.996 minimum: GAN tn, fp: 315, 0 GAN fn, tp: 0, 9 GAN f1 score: 0.900 GAN cohens kappa score: 0.897