/////////////////////////////////////////// // Running convGAN-majority-5 on folding_shuttle-2_vs_5 /////////////////////////////////////////// Load 'data_input/folding_shuttle-2_vs_5' 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 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 49s - loss: 9.9709e-05 36/262 [===>..........................] - ETA: 0s - loss: 0.0024  73/262 [=======>......................] - ETA: 0s - loss: 0.0019 112/262 [===========>..................] - ETA: 0s - loss: 0.0023 147/262 [===============>..............] - ETA: 0s - loss: 0.0021 187/262 [====================>.........] - ETA: 0s - loss: 0.0021 227/262 [========================>.....] - ETA: 0s - loss: 0.0022 262/262 [==============================] - ETA: 0s - loss: 0.0021 262/262 [==============================] - 1s 1ms/step - loss: 0.0021 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.3357e-04 42/262 [===>..........................] - ETA: 0s - loss: 2.9305e-04 78/262 [=======>......................] - ETA: 0s - loss: 7.4690e-04 118/262 [============>.................] - ETA: 0s - loss: 0.0020  156/262 [================>.............] - ETA: 0s - loss: 0.0016 192/262 [====================>.........] - ETA: 0s - loss: 0.0016 229/262 [=========================>....] - ETA: 0s - loss: 0.0018 262/262 [==============================] - 0s 1ms/step - loss: 0.0020 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 2.0167e-04 33/262 [==>...........................] - ETA: 0s - loss: 0.0023  68/262 [======>.......................] - ETA: 0s - loss: 0.0012 103/262 [==========>...................] - ETA: 0s - loss: 0.0022 143/262 [===============>..............] - ETA: 0s - loss: 0.0021 181/262 [===================>..........] - ETA: 0s - loss: 0.0017 217/262 [=======================>......] - ETA: 0s - loss: 0.0014 258/262 [============================>.] - ETA: 0s - loss: 0.0019 262/262 [==============================] - 0s 1ms/step - loss: 0.0018 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 9.5284e-05 39/262 [===>..........................] - ETA: 0s - loss: 9.9864e-04 78/262 [=======>......................] - ETA: 0s - loss: 0.0018  117/262 [============>.................] - ETA: 0s - loss: 0.0020 153/262 [================>.............] - ETA: 0s - loss: 0.0016 194/262 [=====================>........] - ETA: 0s - loss: 0.0018 235/262 [=========================>....] - ETA: 0s - loss: 0.0016 262/262 [==============================] - 0s 1ms/step - loss: 0.0017 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 6.1870e-05 39/262 [===>..........................] - ETA: 0s - loss: 0.0016  75/262 [=======>......................] - ETA: 0s - loss: 0.0021 114/262 [============>.................] - ETA: 0s - loss: 0.0019 155/262 [================>.............] - ETA: 0s - loss: 0.0018 196/262 [=====================>........] - ETA: 0s - loss: 0.0016 234/262 [=========================>....] - ETA: 0s - loss: 0.0015 262/262 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.4249e-05 40/262 [===>..........................] - ETA: 0s - loss: 0.0022  76/262 [=======>......................] - ETA: 0s - loss: 0.0015 110/262 [===========>..................] - ETA: 0s - loss: 0.0013 142/262 [===============>..............] - ETA: 0s - loss: 0.0013 174/262 [==================>...........] - ETA: 0s - loss: 0.0015 209/262 [======================>.......] - ETA: 0s - loss: 0.0014 241/262 [==========================>...] - ETA: 0s - loss: 0.0014 262/262 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.0093e-04 40/262 [===>..........................] - ETA: 0s - loss: 6.9727e-04 81/262 [========>.....................] - ETA: 0s - loss: 0.0016  121/262 [============>.................] - ETA: 0s - loss: 0.0013 161/262 [=================>............] - ETA: 0s - loss: 0.0016 202/262 [======================>.......] - ETA: 0s - loss: 0.0014 240/262 [==========================>...] - ETA: 0s - loss: 0.0013 262/262 [==============================] - 0s 1ms/step - loss: 0.0013 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 3.5393e-04 38/262 [===>..........................] - ETA: 0s - loss: 6.7963e-04 78/262 [=======>......................] - ETA: 0s - loss: 0.0015  119/262 [============>.................] - ETA: 0s - loss: 0.0012 159/262 [=================>............] - ETA: 0s - loss: 0.0013 197/262 [=====================>........] - ETA: 0s - loss: 0.0013 233/262 [=========================>....] - ETA: 0s - loss: 0.0092 262/262 [==============================] - 0s 1ms/step - loss: 0.0082 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 7.6117e-05 40/262 [===>..........................] - ETA: 0s - loss: 6.9704e-04 76/262 [=======>......................] - ETA: 0s - loss: 9.4441e-04 115/262 [============>.................] - ETA: 0s - loss: 8.1968e-04 154/262 [================>.............] - ETA: 0s - loss: 0.0012  196/262 [=====================>........] - ETA: 0s - loss: 0.0011 236/262 [==========================>...] - ETA: 0s - loss: 0.0011 262/262 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.2303e-05 41/262 [===>..........................] - ETA: 0s - loss: 0.0014  81/262 [========>.....................] - ETA: 0s - loss: 0.0012 121/262 [============>.................] - ETA: 0s - loss: 9.8109e-04 162/262 [=================>............] - ETA: 0s - loss: 8.5322e-04 200/262 [=====================>........] - ETA: 0s - loss: 0.0011  240/262 [==========================>...] - ETA: 0s - loss: 0.0010 262/262 [==============================] - 0s 1ms/step - loss: 9.5338e-04 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 652, 2 LR fn, tp: 0, 10 LR f1 score: 0.909 LR cohens kappa score: 0.908 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 653, 1 KNN fn, tp: 0, 10 KNN f1 score: 0.952 KNN cohens kappa score: 0.952 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 43s - loss: 1.1934e-04 43/262 [===>..........................] - ETA: 0s - loss: 1.5256e-04  84/262 [========>.....................] - ETA: 0s - loss: 1.4566e-04 125/262 [=============>................] - ETA: 0s - loss: 1.3591e-04 165/262 [=================>............] - ETA: 0s - loss: 1.7622e-04 205/262 [======================>.......] - ETA: 0s - loss: 1.7372e-04 245/262 [===========================>..] - ETA: 0s - loss: 1.6641e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6144e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 5.5771e-05 43/262 [===>..........................] - ETA: 0s - loss: 8.8731e-05 82/262 [========>.....................] - ETA: 0s - loss: 8.8557e-05 124/262 [=============>................] - ETA: 0s - loss: 9.8399e-05 164/262 [=================>............] - ETA: 0s - loss: 1.4834e-04 204/262 [======================>.......] - ETA: 0s - loss: 1.4100e-04 245/262 [===========================>..] - ETA: 0s - loss: 1.3119e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2764e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 8.8922e-05 38/262 [===>..........................] - ETA: 0s - loss: 8.1664e-05 77/262 [=======>......................] - ETA: 0s - loss: 8.0683e-05 114/262 [============>.................] - ETA: 0s - loss: 7.5852e-05 154/262 [================>.............] - ETA: 0s - loss: 7.5115e-05 195/262 [=====================>........] - ETA: 0s - loss: 6.9399e-05 235/262 [=========================>....] - ETA: 0s - loss: 1.0015e-04 262/262 [==============================] - 0s 1ms/step - loss: 9.8113e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 7.8293e-05 41/262 [===>..........................] - ETA: 0s - loss: 5.7194e-05 79/262 [========>.....................] - ETA: 0s - loss: 5.4043e-05 121/262 [============>.................] - ETA: 0s - loss: 5.3201e-05 161/262 [=================>............] - ETA: 0s - loss: 5.0465e-05 202/262 [======================>.......] - ETA: 0s - loss: 4.7707e-05 243/262 [==========================>...] - ETA: 0s - loss: 5.0718e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.2859e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 9.1769e-05 42/262 [===>..........................] - ETA: 0s - loss: 1.0120e-04 76/262 [=======>......................] - ETA: 0s - loss: 1.1592e-04 115/262 [============>.................] - ETA: 0s - loss: 9.5434e-05 154/262 [================>.............] - ETA: 0s - loss: 8.3617e-05 194/262 [=====================>........] - ETA: 0s - loss: 7.4029e-05 232/262 [=========================>....] - ETA: 0s - loss: 6.8172e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.4816e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.2366e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.3263e-05 80/262 [========>.....................] - ETA: 0s - loss: 3.5732e-05 121/262 [============>.................] - ETA: 0s - loss: 3.5287e-05 162/262 [=================>............] - ETA: 0s - loss: 3.5846e-05 203/262 [======================>.......] - ETA: 0s - loss: 3.4414e-05 240/262 [==========================>...] - ETA: 0s - loss: 5.8061e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.2289e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.7948e-05 37/262 [===>..........................] - ETA: 0s - loss: 4.8502e-05 74/262 [=======>......................] - ETA: 0s - loss: 3.9917e-05 110/262 [===========>..................] - ETA: 0s - loss: 3.4776e-05 150/262 [================>.............] - ETA: 0s - loss: 3.2263e-05 191/262 [====================>.........] - ETA: 0s - loss: 3.1108e-05 229/262 [=========================>....] - ETA: 0s - loss: 5.0717e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.2979e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.1660e-05 42/262 [===>..........................] - ETA: 0s - loss: 2.9119e-05 80/262 [========>.....................] - ETA: 0s - loss: 2.5940e-05 122/262 [============>.................] - ETA: 0s - loss: 6.5032e-05 162/262 [=================>............] - ETA: 0s - loss: 5.7342e-05 197/262 [=====================>........] - ETA: 0s - loss: 5.1395e-05 236/262 [==========================>...] - ETA: 0s - loss: 4.6736e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.3608e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.2921e-05 43/262 [===>..........................] - ETA: 0s - loss: 1.9950e-05 84/262 [========>.....................] - ETA: 0s - loss: 2.0612e-05 125/262 [=============>................] - ETA: 0s - loss: 1.9217e-05 166/262 [==================>...........] - ETA: 0s - loss: 2.0247e-05 206/262 [======================>.......] - ETA: 0s - loss: 1.9226e-05 246/262 [===========================>..] - ETA: 0s - loss: 3.2570e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.6848e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.3468e-05 37/262 [===>..........................] - ETA: 0s - loss: 4.2269e-05 73/262 [=======>......................] - ETA: 0s - loss: 3.4682e-05 107/262 [===========>..................] - ETA: 0s - loss: 2.8185e-05 138/262 [==============>...............] - ETA: 0s - loss: 2.5076e-05 172/262 [==================>...........] - ETA: 0s - loss: 2.3476e-05 209/262 [======================>.......] - ETA: 0s - loss: 4.0107e-05 250/262 [===========================>..] - ETA: 0s - loss: 4.0608e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.9442e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 653, 1 KNN fn, tp: 0, 10 KNN f1 score: 0.952 KNN cohens kappa score: 0.952 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 40s - loss: 5.1062e-04 42/262 [===>..........................] - ETA: 0s - loss: 2.4493e-04  83/262 [========>.....................] - ETA: 0s - loss: 2.3533e-04 123/262 [=============>................] - ETA: 0s - loss: 2.2347e-04 164/262 [=================>............] - ETA: 0s - loss: 1.9444e-04 206/262 [======================>.......] - ETA: 0s - loss: 1.8229e-04 247/262 [===========================>..] - ETA: 0s - loss: 1.7659e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.7845e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 5.4183e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.0813e-04 81/262 [========>.....................] - ETA: 0s - loss: 1.0430e-04 114/262 [============>.................] - ETA: 0s - loss: 1.1503e-04 148/262 [===============>..............] - ETA: 0s - loss: 1.1804e-04 186/262 [====================>.........] - ETA: 0s - loss: 1.2497e-04 226/262 [========================>.....] - ETA: 0s - loss: 1.3186e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.3207e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 3.9352e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.3063e-04 81/262 [========>.....................] - ETA: 0s - loss: 1.1426e-04 121/262 [============>.................] - ETA: 0s - loss: 1.0703e-04 160/262 [=================>............] - ETA: 0s - loss: 1.0500e-04 199/262 [=====================>........] - ETA: 0s - loss: 1.0445e-04 238/262 [==========================>...] - ETA: 0s - loss: 1.0167e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0113e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.2437e-05 37/262 [===>..........................] - ETA: 0s - loss: 8.9160e-05 78/262 [=======>......................] - ETA: 0s - loss: 9.1563e-05 119/262 [============>.................] - ETA: 0s - loss: 8.9620e-05 160/262 [=================>............] - ETA: 0s - loss: 9.0979e-05 198/262 [=====================>........] - ETA: 0s - loss: 8.7773e-05 239/262 [==========================>...] - ETA: 0s - loss: 8.6712e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.2914e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.2474e-05 41/262 [===>..........................] - ETA: 0s - loss: 5.5465e-05 80/262 [========>.....................] - ETA: 0s - loss: 7.1733e-05 120/262 [============>.................] - ETA: 0s - loss: 6.8176e-05 160/262 [=================>............] - ETA: 0s - loss: 7.1905e-05 200/262 [=====================>........] - ETA: 0s - loss: 7.1934e-05 235/262 [=========================>....] - ETA: 0s - loss: 7.2030e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.8234e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.6813e-05 41/262 [===>..........................] - ETA: 0s - loss: 7.8572e-05 81/262 [========>.....................] - ETA: 0s - loss: 7.0135e-05 121/262 [============>.................] - ETA: 0s - loss: 6.1640e-05 162/262 [=================>............] - ETA: 0s - loss: 6.3162e-05 202/262 [======================>.......] - ETA: 0s - loss: 6.3425e-05 243/262 [==========================>...] - ETA: 0s - loss: 5.8862e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.8272e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.8850e-05 41/262 [===>..........................] - ETA: 0s - loss: 5.0101e-05 80/262 [========>.....................] - ETA: 0s - loss: 4.2583e-05 119/262 [============>.................] - ETA: 0s - loss: 4.8209e-05 159/262 [=================>............] - ETA: 0s - loss: 4.8071e-05 199/262 [=====================>........] - ETA: 0s - loss: 4.5198e-05 240/262 [==========================>...] - ETA: 0s - loss: 4.3035e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.7514e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.9159e-05 42/262 [===>..........................] - ETA: 0s - loss: 4.4781e-05 81/262 [========>.....................] - ETA: 0s - loss: 4.6735e-05 118/262 [============>.................] - ETA: 0s - loss: 4.2152e-05 158/262 [=================>............] - ETA: 0s - loss: 4.0508e-05 193/262 [=====================>........] - ETA: 0s - loss: 4.0045e-05 227/262 [========================>.....] - ETA: 0s - loss: 4.0184e-05 260/262 [============================>.] - ETA: 0s - loss: 4.0611e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.0673e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 3.1245e-05 40/262 [===>..........................] - ETA: 0s - loss: 4.4159e-05 80/262 [========>.....................] - ETA: 0s - loss: 3.9865e-05 121/262 [============>.................] - ETA: 0s - loss: 3.9385e-05 162/262 [=================>............] - ETA: 0s - loss: 3.6747e-05 202/262 [======================>.......] - ETA: 0s - loss: 3.5388e-05 242/262 [==========================>...] - ETA: 0s - loss: 3.4450e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.3978e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.3524e-05 42/262 [===>..........................] - ETA: 0s - loss: 3.0399e-05 78/262 [=======>......................] - ETA: 0s - loss: 2.9932e-05 117/262 [============>.................] - ETA: 0s - loss: 2.9222e-05 158/262 [=================>............] - ETA: 0s - loss: 2.9226e-05 199/262 [=====================>........] - ETA: 0s - loss: 3.0170e-05 239/262 [==========================>...] - ETA: 0s - loss: 2.8735e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.8021e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 46s - loss: 4.3901e-04 42/262 [===>..........................] - ETA: 0s - loss: 3.5200e-04  80/262 [========>.....................] - ETA: 0s - loss: 3.2416e-04 121/262 [============>.................] - ETA: 0s - loss: 3.3751e-04 162/262 [=================>............] - ETA: 0s - loss: 3.4616e-04 203/262 [======================>.......] - ETA: 0s - loss: 3.5076e-04 240/262 [==========================>...] - ETA: 0s - loss: 3.5256e-04 262/262 [==============================] - 1s 1ms/step - loss: 3.5695e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 7.9669e-05 36/262 [===>..........................] - ETA: 0s - loss: 3.4328e-04 71/262 [=======>......................] - ETA: 0s - loss: 2.7644e-04 110/262 [===========>..................] - ETA: 0s - loss: 2.7944e-04 149/262 [================>.............] - ETA: 0s - loss: 2.9703e-04 188/262 [====================>.........] - ETA: 0s - loss: 2.9712e-04 229/262 [=========================>....] - ETA: 0s - loss: 2.8577e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.7780e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 8.4693e-05 38/262 [===>..........................] - ETA: 0s - loss: 2.6499e-04 74/262 [=======>......................] - ETA: 0s - loss: 2.2105e-04 115/262 [============>.................] - ETA: 0s - loss: 2.2629e-04 156/262 [================>.............] - ETA: 0s - loss: 2.1638e-04 196/262 [=====================>........] - ETA: 0s - loss: 2.1114e-04 236/262 [==========================>...] - ETA: 0s - loss: 2.0711e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.1370e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.9845e-04 43/262 [===>..........................] - ETA: 0s - loss: 1.4906e-04 83/262 [========>.....................] - ETA: 0s - loss: 1.8433e-04 124/262 [=============>................] - ETA: 0s - loss: 1.7743e-04 161/262 [=================>............] - ETA: 0s - loss: 1.8196e-04 200/262 [=====================>........] - ETA: 0s - loss: 1.7984e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.7352e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.7091e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.8698e-04 43/262 [===>..........................] - ETA: 0s - loss: 1.1896e-04 84/262 [========>.....................] - ETA: 0s - loss: 1.3391e-04 123/262 [=============>................] - ETA: 0s - loss: 1.4582e-04 163/262 [=================>............] - ETA: 0s - loss: 1.4330e-04 204/262 [======================>.......] - ETA: 0s - loss: 1.3654e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.4236e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.3795e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 6.8499e-05 42/262 [===>..........................] - ETA: 0s - loss: 1.1840e-04 82/262 [========>.....................] - ETA: 0s - loss: 1.1228e-04 122/262 [============>.................] - ETA: 0s - loss: 1.0566e-04 162/262 [=================>............] - ETA: 0s - loss: 1.0785e-04 202/262 [======================>.......] - ETA: 0s - loss: 1.0769e-04 240/262 [==========================>...] - ETA: 0s - loss: 1.0384e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0276e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.8628e-05 43/262 [===>..........................] - ETA: 0s - loss: 7.2901e-05 85/262 [========>.....................] - ETA: 0s - loss: 9.7631e-05 127/262 [=============>................] - ETA: 0s - loss: 8.7787e-05 164/262 [=================>............] - ETA: 0s - loss: 8.6013e-05 203/262 [======================>.......] - ETA: 0s - loss: 8.3505e-05 244/262 [==========================>...] - ETA: 0s - loss: 7.9507e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.8160e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 5.5292e-05 39/262 [===>..........................] - ETA: 0s - loss: 6.7644e-05 77/262 [=======>......................] - ETA: 0s - loss: 6.0150e-05 111/262 [===========>..................] - ETA: 0s - loss: 6.7776e-05 145/262 [===============>..............] - ETA: 0s - loss: 6.7998e-05 179/262 [===================>..........] - ETA: 0s - loss: 6.8105e-05 218/262 [=======================>......] - ETA: 0s - loss: 6.6569e-05 257/262 [============================>.] - ETA: 0s - loss: 6.3506e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.3014e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 3.0853e-05 39/262 [===>..........................] - ETA: 0s - loss: 6.3435e-05 79/262 [========>.....................] - ETA: 0s - loss: 6.0124e-05 120/262 [============>.................] - ETA: 0s - loss: 5.9087e-05 161/262 [=================>............] - ETA: 0s - loss: 5.2160e-05 202/262 [======================>.......] - ETA: 0s - loss: 5.0203e-05 241/262 [==========================>...] - ETA: 0s - loss: 4.8635e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.0573e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 4.0599e-06 41/262 [===>..........................] - ETA: 0s - loss: 4.4832e-05 82/262 [========>.....................] - ETA: 0s - loss: 4.5720e-05 122/262 [============>.................] - ETA: 0s - loss: 4.0654e-05 161/262 [=================>............] - ETA: 0s - loss: 4.7120e-05 199/262 [=====================>........] - ETA: 0s - loss: 4.5147e-05 239/262 [==========================>...] - ETA: 0s - loss: 4.4155e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.2779e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 652, 2 KNN fn, tp: 0, 10 KNN f1 score: 0.909 KNN cohens kappa score: 0.908 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2576 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 41s - loss: 0.0149 42/262 [===>..........................] - ETA: 0s - loss: 0.0076  83/262 [========>.....................] - ETA: 0s - loss: 0.0069 123/262 [=============>................] - ETA: 0s - loss: 0.0067 162/262 [=================>............] - ETA: 0s - loss: 0.0070 202/262 [======================>.......] - ETA: 0s - loss: 0.0068 241/262 [==========================>...] - ETA: 0s - loss: 0.0064 262/262 [==============================] - 0s 1ms/step - loss: 0.0062 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 3.8035e-04 37/262 [===>..........................] - ETA: 0s - loss: 0.0060  78/262 [=======>......................] - ETA: 0s - loss: 0.0061 114/262 [============>.................] - ETA: 0s - loss: 0.0053 153/262 [================>.............] - ETA: 0s - loss: 0.0048 193/262 [=====================>........] - ETA: 0s - loss: 0.0047 234/262 [=========================>....] - ETA: 0s - loss: 0.0045 262/262 [==============================] - 0s 1ms/step - loss: 0.0061 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 0.0062 39/262 [===>..........................] - ETA: 0s - loss: 0.0042 79/262 [========>.....................] - ETA: 0s - loss: 0.0039 119/262 [============>.................] - ETA: 0s - loss: 0.0037 160/262 [=================>............] - ETA: 0s - loss: 0.0035 197/262 [=====================>........] - ETA: 0s - loss: 0.0036 234/262 [=========================>....] - ETA: 0s - loss: 0.0035 262/262 [==============================] - 0s 1ms/step - loss: 0.0034 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.2445e-04 39/262 [===>..........................] - ETA: 0s - loss: 0.0024  76/262 [=======>......................] - ETA: 0s - loss: 0.0021 116/262 [============>.................] - ETA: 0s - loss: 0.0025 156/262 [================>.............] - ETA: 0s - loss: 0.0024 188/262 [====================>.........] - ETA: 0s - loss: 0.0024 220/262 [========================>.....] - ETA: 0s - loss: 0.0025 251/262 [===========================>..] - ETA: 0s - loss: 0.0024 262/262 [==============================] - 0s 1ms/step - loss: 0.0025 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 0.0034 41/262 [===>..........................] - ETA: 0s - loss: 0.0023 82/262 [========>.....................] - ETA: 0s - loss: 0.0021 121/262 [============>.................] - ETA: 0s - loss: 0.0021 157/262 [================>.............] - ETA: 0s - loss: 0.0018 198/262 [=====================>........] - ETA: 0s - loss: 0.0019 234/262 [=========================>....] - ETA: 0s - loss: 0.0019 262/262 [==============================] - 0s 1ms/step - loss: 0.0018 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.2528e-05 41/262 [===>..........................] - ETA: 0s - loss: 0.0011  82/262 [========>.....................] - ETA: 0s - loss: 0.0014 121/262 [============>.................] - ETA: 0s - loss: 0.0013 162/262 [=================>............] - ETA: 0s - loss: 0.0014 203/262 [======================>.......] - ETA: 0s - loss: 0.0014 245/262 [===========================>..] - ETA: 0s - loss: 0.0014 262/262 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 4.6212e-05 42/262 [===>..........................] - ETA: 0s - loss: 0.0014  83/262 [========>.....................] - ETA: 0s - loss: 0.0011 123/262 [=============>................] - ETA: 0s - loss: 0.0010 163/262 [=================>............] - ETA: 0s - loss: 0.0011 204/262 [======================>.......] - ETA: 0s - loss: 0.0010 242/262 [==========================>...] - ETA: 0s - loss: 0.0010 262/262 [==============================] - 0s 1ms/step - loss: 0.0010 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 4.7440e-06 41/262 [===>..........................] - ETA: 0s - loss: 0.0010  80/262 [========>.....................] - ETA: 0s - loss: 0.0010 118/262 [============>.................] - ETA: 0s - loss: 9.9497e-04 158/262 [=================>............] - ETA: 0s - loss: 8.8858e-04 199/262 [=====================>........] - ETA: 0s - loss: 0.0172  238/262 [==========================>...] - ETA: 0s - loss: 0.0147 262/262 [==============================] - 0s 1ms/step - loss: 0.0135 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.1667e-05 38/262 [===>..........................] - ETA: 0s - loss: 0.0012  73/262 [=======>......................] - ETA: 0s - loss: 0.0010 111/262 [===========>..................] - ETA: 0s - loss: 9.3144e-04 150/262 [================>.............] - ETA: 0s - loss: 8.8663e-04 191/262 [====================>.........] - ETA: 0s - loss: 8.7817e-04 232/262 [=========================>....] - ETA: 0s - loss: 8.8007e-04 262/262 [==============================] - 0s 1ms/step - loss: 8.8643e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 0.0013 41/262 [===>..........................] - ETA: 0s - loss: 7.0608e-04 79/262 [========>.....................] - ETA: 0s - loss: 6.9822e-04 119/262 [============>.................] - ETA: 0s - loss: 7.0652e-04 156/262 [================>.............] - ETA: 0s - loss: 7.3719e-04 197/262 [=====================>........] - ETA: 0s - loss: 7.1586e-04 235/262 [=========================>....] - ETA: 0s - loss: 6.8045e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.8234e-04 -> test with GAN.predict GAN tn, fp: 651, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 651, 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: 651, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 651, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 650, 1 KNN fn, tp: 0, 9 KNN f1 score: 0.947 KNN cohens kappa score: 0.947 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 42s - loss: 0.0014 38/262 [===>..........................] - ETA: 0s - loss: 9.1373e-04 72/262 [=======>......................] - ETA: 0s - loss: 9.9901e-04 108/262 [===========>..................] - ETA: 0s - loss: 0.0011  143/262 [===============>..............] - ETA: 0s - loss: 0.0011 177/262 [===================>..........] - ETA: 0s - loss: 0.0011 212/262 [=======================>......] - ETA: 0s - loss: 0.0011 247/262 [===========================>..] - ETA: 0s - loss: 0.0011 262/262 [==============================] - 1s 1ms/step - loss: 0.0011 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.7537e-05 36/262 [===>..........................] - ETA: 0s - loss: 9.2668e-04 72/262 [=======>......................] - ETA: 0s - loss: 8.3841e-04 108/262 [===========>..................] - ETA: 0s - loss: 9.4795e-04 142/262 [===============>..............] - ETA: 0s - loss: 9.4088e-04 179/262 [===================>..........] - ETA: 0s - loss: 9.0696e-04 213/262 [=======================>......] - ETA: 0s - loss: 8.7243e-04 246/262 [===========================>..] - ETA: 0s - loss: 9.1794e-04 262/262 [==============================] - 0s 1ms/step - loss: 8.9741e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.2506e-05 34/262 [==>...........................] - ETA: 0s - loss: 0.0011  62/262 [======>.......................] - ETA: 0s - loss: 7.6781e-04 94/262 [=========>....................] - ETA: 0s - loss: 6.4644e-04 125/262 [=============>................] - ETA: 0s - loss: 6.8026e-04 157/262 [================>.............] - ETA: 0s - loss: 7.6199e-04 191/262 [====================>.........] - ETA: 0s - loss: 7.4739e-04 225/262 [========================>.....] - ETA: 0s - loss: 7.3733e-04 258/262 [============================>.] - ETA: 0s - loss: 7.4442e-04 262/262 [==============================] - 0s 2ms/step - loss: 7.3834e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 7.8550e-04 36/262 [===>..........................] - ETA: 0s - loss: 7.5804e-04 70/262 [=======>......................] - ETA: 0s - loss: 6.9567e-04 104/262 [==========>...................] - ETA: 0s - loss: 6.8081e-04 139/262 [==============>...............] - ETA: 0s - loss: 6.1102e-04 173/262 [==================>...........] - ETA: 0s - loss: 6.0973e-04 207/262 [======================>.......] - ETA: 0s - loss: 6.1044e-04 241/262 [==========================>...] - ETA: 0s - loss: 6.1311e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.0438e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 6.4381e-04 36/262 [===>..........................] - ETA: 0s - loss: 4.4393e-04 71/262 [=======>......................] - ETA: 0s - loss: 5.1729e-04 105/262 [===========>..................] - ETA: 0s - loss: 5.3552e-04 145/262 [===============>..............] - ETA: 0s - loss: 5.2525e-04 183/262 [===================>..........] - ETA: 0s - loss: 5.2380e-04 218/262 [=======================>......] - ETA: 0s - loss: 5.1535e-04 250/262 [===========================>..] - ETA: 0s - loss: 4.9770e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.9940e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 5.2580e-04 38/262 [===>..........................] - ETA: 0s - loss: 4.8170e-04 75/262 [=======>......................] - ETA: 0s - loss: 4.5599e-04 108/262 [===========>..................] - ETA: 0s - loss: 4.1267e-04 142/262 [===============>..............] - ETA: 0s - loss: 4.4766e-04 174/262 [==================>...........] - ETA: 0s - loss: 4.1889e-04 206/262 [======================>.......] - ETA: 0s - loss: 4.1459e-04 240/262 [==========================>...] - ETA: 0s - loss: 4.2358e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.1324e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 5.6512e-04 36/262 [===>..........................] - ETA: 0s - loss: 4.5072e-04 71/262 [=======>......................] - ETA: 0s - loss: 4.3626e-04 106/262 [===========>..................] - ETA: 0s - loss: 4.1332e-04 142/262 [===============>..............] - ETA: 0s - loss: 3.7649e-04 177/262 [===================>..........] - ETA: 0s - loss: 3.6762e-04 217/262 [=======================>......] - ETA: 0s - loss: 3.5756e-04 256/262 [============================>.] - ETA: 0s - loss: 3.4439e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.4485e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 6.2503e-06 34/262 [==>...........................] - ETA: 0s - loss: 3.7149e-04 73/262 [=======>......................] - ETA: 0s - loss: 3.1017e-04 107/262 [===========>..................] - ETA: 0s - loss: 3.1163e-04 139/262 [==============>...............] - ETA: 0s - loss: 3.1467e-04 168/262 [==================>...........] - ETA: 0s - loss: 3.0237e-04 200/262 [=====================>........] - ETA: 0s - loss: 3.0281e-04 238/262 [==========================>...] - ETA: 0s - loss: 2.9894e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.8682e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 5.8390e-04 33/262 [==>...........................] - ETA: 0s - loss: 2.5226e-04 67/262 [======>.......................] - ETA: 0s - loss: 2.7131e-04 101/262 [==========>...................] - ETA: 0s - loss: 2.7217e-04 137/262 [==============>...............] - ETA: 0s - loss: 2.6639e-04 171/262 [==================>...........] - ETA: 0s - loss: 2.5059e-04 208/262 [======================>.......] - ETA: 0s - loss: 2.4038e-04 241/262 [==========================>...] - ETA: 0s - loss: 2.3892e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.3956e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.4386e-04 36/262 [===>..........................] - ETA: 0s - loss: 2.3020e-04 71/262 [=======>......................] - ETA: 0s - loss: 1.9723e-04 108/262 [===========>..................] - ETA: 0s - loss: 1.9811e-04 141/262 [===============>..............] - ETA: 0s - loss: 1.8990e-04 176/262 [===================>..........] - ETA: 0s - loss: 1.9595e-04 210/262 [=======================>......] - ETA: 0s - loss: 2.0680e-04 246/262 [===========================>..] - ETA: 0s - loss: 2.0450e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.0083e-04 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 653, 1 KNN fn, tp: 0, 10 KNN f1 score: 0.952 KNN cohens kappa score: 0.952 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 39s - loss: 2.2966e-04 41/262 [===>..........................] - ETA: 0s - loss: 2.6855e-04  80/262 [========>.....................] - ETA: 0s - loss: 2.5566e-04 121/262 [============>.................] - ETA: 0s - loss: 2.4922e-04 154/262 [================>.............] - ETA: 0s - loss: 2.5471e-04 188/262 [====================>.........] - ETA: 0s - loss: 2.6704e-04 222/262 [========================>.....] - ETA: 0s - loss: 2.6700e-04 260/262 [============================>.] - ETA: 0s - loss: 2.7246e-04 262/262 [==============================] - 1s 1ms/step - loss: 2.7148e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 9.6394e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.1161e-04 79/262 [========>.....................] - ETA: 0s - loss: 2.6069e-04 120/262 [============>.................] - ETA: 0s - loss: 2.2866e-04 160/262 [=================>............] - ETA: 0s - loss: 2.2200e-04 200/262 [=====================>........] - ETA: 0s - loss: 2.0715e-04 240/262 [==========================>...] - ETA: 0s - loss: 2.0884e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.1442e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 7.7922e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.9939e-04 82/262 [========>.....................] - ETA: 0s - loss: 1.7515e-04 117/262 [============>.................] - ETA: 0s - loss: 1.6288e-04 157/262 [================>.............] - ETA: 0s - loss: 1.6247e-04 196/262 [=====================>........] - ETA: 0s - loss: 1.7306e-04 236/262 [==========================>...] - ETA: 0s - loss: 1.6207e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.7226e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 6.4105e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.2531e-04 80/262 [========>.....................] - ETA: 0s - loss: 1.2653e-04 115/262 [============>.................] - ETA: 0s - loss: 1.3677e-04 149/262 [================>.............] - ETA: 0s - loss: 1.3631e-04 184/262 [====================>.........] - ETA: 0s - loss: 1.3535e-04 223/262 [========================>.....] - ETA: 0s - loss: 1.3710e-04 261/262 [============================>.] - ETA: 0s - loss: 1.3990e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.3990e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.7999e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.1610e-04 81/262 [========>.....................] - ETA: 0s - loss: 1.1012e-04 122/262 [============>.................] - ETA: 0s - loss: 1.0693e-04 162/262 [=================>............] - ETA: 0s - loss: 1.0414e-04 203/262 [======================>.......] - ETA: 0s - loss: 1.0552e-04 243/262 [==========================>...] - ETA: 0s - loss: 1.1170e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0913e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.3991e-04 42/262 [===>..........................] - ETA: 0s - loss: 8.9478e-05 81/262 [========>.....................] - ETA: 0s - loss: 8.2018e-05 121/262 [============>.................] - ETA: 0s - loss: 8.1872e-05 162/262 [=================>............] - ETA: 0s - loss: 8.4760e-05 203/262 [======================>.......] - ETA: 0s - loss: 8.8459e-05 242/262 [==========================>...] - ETA: 0s - loss: 8.8469e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.0419e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.0118e-04 40/262 [===>..........................] - ETA: 0s - loss: 6.7168e-05 79/262 [========>.....................] - ETA: 0s - loss: 6.8135e-05 120/262 [============>.................] - ETA: 0s - loss: 7.7581e-05 160/262 [=================>............] - ETA: 0s - loss: 7.7799e-05 196/262 [=====================>........] - ETA: 0s - loss: 7.6801e-05 230/262 [=========================>....] - ETA: 0s - loss: 7.6667e-05 262/262 [==============================] - ETA: 0s - loss: 7.5365e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.5365e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 2.1076e-05 33/262 [==>...........................] - ETA: 0s - loss: 4.8717e-05 71/262 [=======>......................] - ETA: 0s - loss: 7.4268e-05 108/262 [===========>..................] - ETA: 0s - loss: 7.3939e-05 146/262 [===============>..............] - ETA: 0s - loss: 6.9571e-05 186/262 [====================>.........] - ETA: 0s - loss: 6.5065e-05 226/262 [========================>.....] - ETA: 0s - loss: 6.3965e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.2548e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.1256e-04 38/262 [===>..........................] - ETA: 0s - loss: 4.4073e-05 77/262 [=======>......................] - ETA: 0s - loss: 4.8828e-05 117/262 [============>.................] - ETA: 0s - loss: 5.4370e-05 158/262 [=================>............] - ETA: 0s - loss: 5.4253e-05 197/262 [=====================>........] - ETA: 0s - loss: 5.2591e-05 237/262 [==========================>...] - ETA: 0s - loss: 5.0613e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.2566e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 5.9337e-06 42/262 [===>..........................] - ETA: 0s - loss: 6.5555e-05 83/262 [========>.....................] - ETA: 0s - loss: 4.8667e-05 121/262 [============>.................] - ETA: 0s - loss: 5.0456e-05 160/262 [=================>............] - ETA: 0s - loss: 5.4520e-05 200/262 [=====================>........] - ETA: 0s - loss: 4.9897e-05 241/262 [==========================>...] - ETA: 0s - loss: 4.5713e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.3615e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 1:29 - loss: 3.1513e-04 41/262 [===>..........................] - ETA: 0s - loss: 1.4672e-04  80/262 [========>.....................] - ETA: 0s - loss: 1.4364e-04 118/262 [============>.................] - ETA: 0s - loss: 1.4368e-04 155/262 [================>.............] - ETA: 0s - loss: 1.3973e-04 189/262 [====================>.........] - ETA: 0s - loss: 1.3534e-04 225/262 [========================>.....] - ETA: 0s - loss: 1.3471e-04 259/262 [============================>.] - ETA: 0s - loss: 1.3423e-04 262/262 [==============================] - 1s 1ms/step - loss: 1.3418e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 6.1720e-05 38/262 [===>..........................] - ETA: 0s - loss: 1.2757e-04 78/262 [=======>......................] - ETA: 0s - loss: 1.0786e-04 118/262 [============>.................] - ETA: 0s - loss: 9.9893e-05 157/262 [================>.............] - ETA: 0s - loss: 9.9553e-05 197/262 [=====================>........] - ETA: 0s - loss: 1.0697e-04 236/262 [==========================>...] - ETA: 0s - loss: 1.0450e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0225e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 8.9180e-05 34/262 [==>...........................] - ETA: 0s - loss: 7.0193e-05 67/262 [======>.......................] - ETA: 0s - loss: 8.8448e-05 106/262 [===========>..................] - ETA: 0s - loss: 8.5991e-05 146/262 [===============>..............] - ETA: 0s - loss: 8.1667e-05 188/262 [====================>.........] - ETA: 0s - loss: 8.3552e-05 229/262 [=========================>....] - ETA: 0s - loss: 8.2970e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.0556e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 8.3611e-05 40/262 [===>..........................] - ETA: 0s - loss: 6.4954e-05 81/262 [========>.....................] - ETA: 0s - loss: 5.8909e-05 119/262 [============>.................] - ETA: 0s - loss: 5.7325e-05 159/262 [=================>............] - ETA: 0s - loss: 5.7385e-05 199/262 [=====================>........] - ETA: 0s - loss: 6.2946e-05 240/262 [==========================>...] - ETA: 0s - loss: 6.0485e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.3387e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 8.8726e-06 41/262 [===>..........................] - ETA: 0s - loss: 6.2806e-05 81/262 [========>.....................] - ETA: 0s - loss: 6.2707e-05 118/262 [============>.................] - ETA: 0s - loss: 5.8164e-05 154/262 [================>.............] - ETA: 0s - loss: 5.3679e-05 191/262 [====================>.........] - ETA: 0s - loss: 5.1084e-05 228/262 [=========================>....] - ETA: 0s - loss: 5.0756e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.0876e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 9.9650e-06 41/262 [===>..........................] - ETA: 0s - loss: 5.3629e-05 78/262 [=======>......................] - ETA: 0s - loss: 5.5379e-05 117/262 [============>.................] - ETA: 0s - loss: 4.6841e-05 156/262 [================>.............] - ETA: 0s - loss: 4.7143e-05 195/262 [=====================>........] - ETA: 0s - loss: 4.4474e-05 233/262 [=========================>....] - ETA: 0s - loss: 4.2484e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.1451e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.5459e-05 40/262 [===>..........................] - ETA: 0s - loss: 3.5294e-05 78/262 [=======>......................] - ETA: 0s - loss: 3.8551e-05 117/262 [============>.................] - ETA: 0s - loss: 3.5783e-05 156/262 [================>.............] - ETA: 0s - loss: 3.2927e-05 196/262 [=====================>........] - ETA: 0s - loss: 3.2376e-05 235/262 [=========================>....] - ETA: 0s - loss: 3.4251e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.4180e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 2.8816e-05 41/262 [===>..........................] - ETA: 0s - loss: 2.0527e-05 79/262 [========>.....................] - ETA: 0s - loss: 2.1858e-05 119/262 [============>.................] - ETA: 0s - loss: 3.0235e-05 158/262 [=================>............] - ETA: 0s - loss: 2.7866e-05 197/262 [=====================>........] - ETA: 0s - loss: 2.8000e-05 235/262 [=========================>....] - ETA: 0s - loss: 2.7837e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.8020e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 3.2400e-06 39/262 [===>..........................] - ETA: 0s - loss: 2.9857e-05 72/262 [=======>......................] - ETA: 0s - loss: 2.7569e-05 104/262 [==========>...................] - ETA: 0s - loss: 2.8098e-05 138/262 [==============>...............] - ETA: 0s - loss: 2.6371e-05 177/262 [===================>..........] - ETA: 0s - loss: 2.6471e-05 217/262 [=======================>......] - ETA: 0s - loss: 2.5102e-05 256/262 [============================>.] - ETA: 0s - loss: 2.3708e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.3535e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.3222e-05 41/262 [===>..........................] - ETA: 0s - loss: 2.2222e-05 81/262 [========>.....................] - ETA: 0s - loss: 2.0932e-05 119/262 [============>.................] - ETA: 0s - loss: 2.0004e-05 156/262 [================>.............] - ETA: 0s - loss: 2.2932e-05 196/262 [=====================>........] - ETA: 0s - loss: 2.1331e-05 235/262 [=========================>....] - ETA: 0s - loss: 2.0640e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.9774e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 652, 2 KNN fn, tp: 0, 10 KNN f1 score: 0.909 KNN cohens kappa score: 0.908 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 1:00 - loss: 5.5053e-05 33/262 [==>...........................] - ETA: 0s - loss: 1.5677e-04  68/262 [======>.......................] - ETA: 0s - loss: 1.6216e-04 102/262 [==========>...................] - ETA: 0s - loss: 1.6607e-04 134/262 [==============>...............] - ETA: 0s - loss: 1.6016e-04 168/262 [==================>...........] - ETA: 0s - loss: 1.6763e-04 207/262 [======================>.......] - ETA: 0s - loss: 1.6250e-04 240/262 [==========================>...] - ETA: 0s - loss: 1.6238e-04 262/262 [==============================] - 1s 1ms/step - loss: 1.5940e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 2.2459e-04 37/262 [===>..........................] - ETA: 0s - loss: 1.5860e-04 72/262 [=======>......................] - ETA: 0s - loss: 1.4526e-04 107/262 [===========>..................] - ETA: 0s - loss: 1.2759e-04 139/262 [==============>...............] - ETA: 0s - loss: 1.2269e-04 173/262 [==================>...........] - ETA: 0s - loss: 1.2220e-04 205/262 [======================>.......] - ETA: 0s - loss: 1.2211e-04 241/262 [==========================>...] - ETA: 0s - loss: 1.2122e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2538e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 7.6510e-05 33/262 [==>...........................] - ETA: 0s - loss: 1.2111e-04 69/262 [======>.......................] - ETA: 0s - loss: 1.2327e-04 107/262 [===========>..................] - ETA: 0s - loss: 1.1451e-04 141/262 [===============>..............] - ETA: 0s - loss: 1.1047e-04 181/262 [===================>..........] - ETA: 0s - loss: 1.0704e-04 215/262 [=======================>......] - ETA: 0s - loss: 1.0330e-04 252/262 [===========================>..] - ETA: 0s - loss: 1.0116e-04 262/262 [==============================] - 0s 1ms/step - loss: 9.9897e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 6.0327e-05 40/262 [===>..........................] - ETA: 0s - loss: 7.5533e-05 80/262 [========>.....................] - ETA: 0s - loss: 7.3751e-05 120/262 [============>.................] - ETA: 0s - loss: 8.2262e-05 158/262 [=================>............] - ETA: 0s - loss: 8.0638e-05 195/262 [=====================>........] - ETA: 0s - loss: 7.6094e-05 233/262 [=========================>....] - ETA: 0s - loss: 7.8227e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.0104e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 5.9716e-05 40/262 [===>..........................] - ETA: 0s - loss: 4.9215e-05 80/262 [========>.....................] - ETA: 0s - loss: 5.5555e-05 116/262 [============>.................] - ETA: 0s - loss: 6.3457e-05 152/262 [================>.............] - ETA: 0s - loss: 7.0495e-05 188/262 [====================>.........] - ETA: 0s - loss: 6.6768e-05 225/262 [========================>.....] - ETA: 0s - loss: 6.6709e-05 259/262 [============================>.] - ETA: 0s - loss: 6.5733e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.6354e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 5.4063e-05 34/262 [==>...........................] - ETA: 0s - loss: 5.1196e-05 68/262 [======>.......................] - ETA: 0s - loss: 5.5445e-05 107/262 [===========>..................] - ETA: 0s - loss: 6.2974e-05 146/262 [===============>..............] - ETA: 0s - loss: 5.6067e-05 186/262 [====================>.........] - ETA: 0s - loss: 5.4488e-05 226/262 [========================>.....] - ETA: 0s - loss: 5.5087e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.2888e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.6041e-05 39/262 [===>..........................] - ETA: 0s - loss: 4.3290e-05 79/262 [========>.....................] - ETA: 0s - loss: 4.4496e-05 119/262 [============>.................] - ETA: 0s - loss: 4.3104e-05 158/262 [=================>............] - ETA: 0s - loss: 4.4866e-05 195/262 [=====================>........] - ETA: 0s - loss: 4.1728e-05 233/262 [=========================>....] - ETA: 0s - loss: 4.2853e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.3594e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 7.0403e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.4635e-05 73/262 [=======>......................] - ETA: 0s - loss: 3.0243e-05 111/262 [===========>..................] - ETA: 0s - loss: 3.2858e-05 150/262 [================>.............] - ETA: 0s - loss: 3.6369e-05 188/262 [====================>.........] - ETA: 0s - loss: 3.6472e-05 226/262 [========================>.....] - ETA: 0s - loss: 3.6562e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.5615e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.5709e-05 40/262 [===>..........................] - ETA: 0s - loss: 3.6594e-05 80/262 [========>.....................] - ETA: 0s - loss: 3.6577e-05 120/262 [============>.................] - ETA: 0s - loss: 3.2417e-05 161/262 [=================>............] - ETA: 0s - loss: 3.0216e-05 201/262 [======================>.......] - ETA: 0s - loss: 2.8199e-05 241/262 [==========================>...] - ETA: 0s - loss: 2.7992e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.6859e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 6.1661e-06 40/262 [===>..........................] - ETA: 0s - loss: 2.4366e-05 79/262 [========>.....................] - ETA: 0s - loss: 2.5786e-05 118/262 [============>.................] - ETA: 0s - loss: 2.4057e-05 158/262 [=================>............] - ETA: 0s - loss: 2.3281e-05 196/262 [=====================>........] - ETA: 0s - loss: 2.4992e-05 235/262 [=========================>....] - ETA: 0s - loss: 2.3540e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.2553e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 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 2576 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 52s - loss: 1.6760e-04 41/262 [===>..........................] - ETA: 0s - loss: 2.9916e-04  81/262 [========>.....................] - ETA: 0s - loss: 2.4875e-04 124/262 [=============>................] - ETA: 0s - loss: 2.3902e-04 162/262 [=================>............] - ETA: 0s - loss: 2.4617e-04 202/262 [======================>.......] - ETA: 0s - loss: 2.4671e-04 242/262 [==========================>...] - ETA: 0s - loss: 2.2799e-04 262/262 [==============================] - 1s 1ms/step - loss: 2.2152e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.4794e-04 40/262 [===>..........................] - ETA: 0s - loss: 3.5915e-04 81/262 [========>.....................] - ETA: 0s - loss: 2.5752e-04 118/262 [============>.................] - ETA: 0s - loss: 2.2322e-04 159/262 [=================>............] - ETA: 0s - loss: 2.0796e-04 199/262 [=====================>........] - ETA: 0s - loss: 1.8213e-04 238/262 [==========================>...] - ETA: 0s - loss: 1.7896e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.7299e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 6.1068e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.5142e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.4115e-04 118/262 [============>.................] - ETA: 0s - loss: 1.4499e-04 157/262 [================>.............] - ETA: 0s - loss: 1.4499e-04 195/262 [=====================>........] - ETA: 0s - loss: 1.3924e-04 232/262 [=========================>....] - ETA: 0s - loss: 1.3081e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2686e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 5.1173e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.2907e-04 75/262 [=======>......................] - ETA: 0s - loss: 1.1094e-04 111/262 [===========>..................] - ETA: 0s - loss: 1.0639e-04 149/262 [================>.............] - ETA: 0s - loss: 9.3065e-05 186/262 [====================>.........] - ETA: 0s - loss: 8.9485e-05 225/262 [========================>.....] - ETA: 0s - loss: 8.8646e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.8835e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.3848e-05 41/262 [===>..........................] - ETA: 0s - loss: 5.3170e-05 81/262 [========>.....................] - ETA: 0s - loss: 5.6917e-05 120/262 [============>.................] - ETA: 0s - loss: 5.7906e-05 160/262 [=================>............] - ETA: 0s - loss: 6.0963e-05 198/262 [=====================>........] - ETA: 0s - loss: 6.3990e-05 237/262 [==========================>...] - ETA: 0s - loss: 6.0093e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.5766e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.9329e-05 39/262 [===>..........................] - ETA: 0s - loss: 5.9055e-05 78/262 [=======>......................] - ETA: 0s - loss: 6.2804e-05 117/262 [============>.................] - ETA: 0s - loss: 5.6009e-05 152/262 [================>.............] - ETA: 0s - loss: 5.6016e-05 187/262 [====================>.........] - ETA: 0s - loss: 5.3049e-05 219/262 [========================>.....] - ETA: 0s - loss: 5.2028e-05 253/262 [===========================>..] - ETA: 0s - loss: 4.9728e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.9788e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.0723e-05 38/262 [===>..........................] - ETA: 0s - loss: 3.9985e-05 78/262 [=======>......................] - ETA: 0s - loss: 4.3839e-05 117/262 [============>.................] - ETA: 0s - loss: 3.8237e-05 154/262 [================>.............] - ETA: 0s - loss: 3.8635e-05 191/262 [====================>.........] - ETA: 0s - loss: 3.7536e-05 230/262 [=========================>....] - ETA: 0s - loss: 3.9603e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.9846e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 4.4380e-05 40/262 [===>..........................] - ETA: 0s - loss: 3.8926e-05 80/262 [========>.....................] - ETA: 0s - loss: 3.6225e-05 120/262 [============>.................] - ETA: 0s - loss: 3.5137e-05 159/262 [=================>............] - ETA: 0s - loss: 3.4926e-05 197/262 [=====================>........] - ETA: 0s - loss: 3.4005e-05 236/262 [==========================>...] - ETA: 0s - loss: 3.3660e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.2232e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.2744e-05 37/262 [===>..........................] - ETA: 0s - loss: 2.2928e-05 73/262 [=======>......................] - ETA: 0s - loss: 2.5615e-05 109/262 [===========>..................] - ETA: 0s - loss: 2.7211e-05 149/262 [================>.............] - ETA: 0s - loss: 2.7346e-05 182/262 [===================>..........] - ETA: 0s - loss: 2.8656e-05 218/262 [=======================>......] - ETA: 0s - loss: 2.8157e-05 249/262 [===========================>..] - ETA: 0s - loss: 2.6574e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.6059e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 6.4977e-06 38/262 [===>..........................] - ETA: 0s - loss: 2.5835e-05 77/262 [=======>......................] - ETA: 0s - loss: 2.6375e-05 116/262 [============>.................] - ETA: 0s - loss: 2.4174e-05 154/262 [================>.............] - ETA: 0s - loss: 2.2952e-05 193/262 [=====================>........] - ETA: 0s - loss: 2.0714e-05 232/262 [=========================>....] - ETA: 0s - loss: 2.0532e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.1046e-05 -> test with GAN.predict GAN tn, fp: 651, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 651, 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: 651, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 651, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 650, 1 KNN fn, tp: 0, 9 KNN f1 score: 0.947 KNN cohens kappa score: 0.947 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 41s - loss: 4.2057e-04 44/262 [====>.........................] - ETA: 0s - loss: 2.3702e-04  82/262 [========>.....................] - ETA: 0s - loss: 2.6745e-04 123/262 [=============>................] - ETA: 0s - loss: 2.4238e-04 162/262 [=================>............] - ETA: 0s - loss: 2.3631e-04 203/262 [======================>.......] - ETA: 0s - loss: 2.4346e-04 240/262 [==========================>...] - ETA: 0s - loss: 2.3525e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.3117e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.3751e-04 39/262 [===>..........................] - ETA: 0s - loss: 1.5487e-04 77/262 [=======>......................] - ETA: 0s - loss: 1.7267e-04 113/262 [===========>..................] - ETA: 0s - loss: 1.6322e-04 151/262 [================>.............] - ETA: 0s - loss: 1.5353e-04 191/262 [====================>.........] - ETA: 0s - loss: 1.5824e-04 230/262 [=========================>....] - ETA: 0s - loss: 1.5918e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.5978e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 5.6715e-05 42/262 [===>..........................] - ETA: 0s - loss: 1.3401e-04 76/262 [=======>......................] - ETA: 0s - loss: 1.1245e-04 115/262 [============>.................] - ETA: 0s - loss: 9.9845e-05 154/262 [================>.............] - ETA: 0s - loss: 1.1167e-04 194/262 [=====================>........] - ETA: 0s - loss: 1.1677e-04 232/262 [=========================>....] - ETA: 0s - loss: 1.1960e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.1966e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.7846e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.0894e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.1467e-04 118/262 [============>.................] - ETA: 0s - loss: 1.0604e-04 157/262 [================>.............] - ETA: 0s - loss: 1.0271e-04 196/262 [=====================>........] - ETA: 0s - loss: 9.8286e-05 236/262 [==========================>...] - ETA: 0s - loss: 9.3082e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.6408e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.3770e-05 42/262 [===>..........................] - ETA: 0s - loss: 7.2591e-05 81/262 [========>.....................] - ETA: 0s - loss: 7.0885e-05 121/262 [============>.................] - ETA: 0s - loss: 7.5673e-05 162/262 [=================>............] - ETA: 0s - loss: 7.4942e-05 201/262 [======================>.......] - ETA: 0s - loss: 7.6444e-05 240/262 [==========================>...] - ETA: 0s - loss: 7.8488e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.5750e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.7376e-05 42/262 [===>..........................] - ETA: 0s - loss: 9.4838e-05 81/262 [========>.....................] - ETA: 0s - loss: 8.1734e-05 114/262 [============>.................] - ETA: 0s - loss: 6.9809e-05 146/262 [===============>..............] - ETA: 0s - loss: 6.5862e-05 176/262 [===================>..........] - ETA: 0s - loss: 6.4913e-05 213/262 [=======================>......] - ETA: 0s - loss: 6.2143e-05 253/262 [===========================>..] - ETA: 0s - loss: 6.2932e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.2107e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.8236e-05 41/262 [===>..........................] - ETA: 0s - loss: 4.8786e-05 81/262 [========>.....................] - ETA: 0s - loss: 4.4886e-05 121/262 [============>.................] - ETA: 0s - loss: 4.5663e-05 162/262 [=================>............] - ETA: 0s - loss: 4.9225e-05 202/262 [======================>.......] - ETA: 0s - loss: 5.2188e-05 240/262 [==========================>...] - ETA: 0s - loss: 5.3401e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.1962e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 2.1227e-04 41/262 [===>..........................] - ETA: 0s - loss: 4.4721e-05 80/262 [========>.....................] - ETA: 0s - loss: 3.4543e-05 118/262 [============>.................] - ETA: 0s - loss: 4.4151e-05 158/262 [=================>............] - ETA: 0s - loss: 4.5742e-05 199/262 [=====================>........] - ETA: 0s - loss: 4.3281e-05 238/262 [==========================>...] - ETA: 0s - loss: 4.2007e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.1805e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 6.6010e-05 36/262 [===>..........................] - ETA: 0s - loss: 3.3450e-05 75/262 [=======>......................] - ETA: 0s - loss: 3.0464e-05 113/262 [===========>..................] - ETA: 0s - loss: 2.5961e-05 153/262 [================>.............] - ETA: 0s - loss: 2.8620e-05 193/262 [=====================>........] - ETA: 0s - loss: 3.2524e-05 233/262 [=========================>....] - ETA: 0s - loss: 3.5440e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.5091e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 8.6847e-06 42/262 [===>..........................] - ETA: 0s - loss: 2.9604e-05 80/262 [========>.....................] - ETA: 0s - loss: 3.1735e-05 115/262 [============>.................] - ETA: 0s - loss: 3.3219e-05 153/262 [================>.............] - ETA: 0s - loss: 3.1319e-05 194/262 [=====================>........] - ETA: 0s - loss: 3.0626e-05 233/262 [=========================>....] - ETA: 0s - loss: 2.9391e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.9382e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 46s - loss: 5.2754e-04 42/262 [===>..........................] - ETA: 0s - loss: 3.4231e-04  82/262 [========>.....................] - ETA: 0s - loss: 3.7322e-04 122/262 [============>.................] - ETA: 0s - loss: 3.6739e-04 162/262 [=================>............] - ETA: 0s - loss: 3.4062e-04 201/262 [======================>.......] - ETA: 0s - loss: 3.4159e-04 241/262 [==========================>...] - ETA: 0s - loss: 3.3729e-04 262/262 [==============================] - 1s 1ms/step - loss: 3.2401e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.9408e-04 42/262 [===>..........................] - ETA: 0s - loss: 3.6178e-04 81/262 [========>.....................] - ETA: 0s - loss: 3.3228e-04 121/262 [============>.................] - ETA: 0s - loss: 3.0284e-04 160/262 [=================>............] - ETA: 0s - loss: 2.8371e-04 200/262 [=====================>........] - ETA: 0s - loss: 2.5781e-04 240/262 [==========================>...] - ETA: 0s - loss: 2.4925e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.4534e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 5.8784e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.7838e-04 79/262 [========>.....................] - ETA: 0s - loss: 2.4967e-04 117/262 [============>.................] - ETA: 0s - loss: 2.2085e-04 158/262 [=================>............] - ETA: 0s - loss: 2.1008e-04 198/262 [=====================>........] - ETA: 0s - loss: 1.9914e-04 237/262 [==========================>...] - ETA: 0s - loss: 1.9583e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.9395e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.0691e-04 39/262 [===>..........................] - ETA: 0s - loss: 1.7975e-04 73/262 [=======>......................] - ETA: 0s - loss: 1.9396e-04 107/262 [===========>..................] - ETA: 0s - loss: 1.8653e-04 144/262 [===============>..............] - ETA: 0s - loss: 1.8399e-04 182/262 [===================>..........] - ETA: 0s - loss: 1.7970e-04 222/262 [========================>.....] - ETA: 0s - loss: 1.6667e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.5772e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.0136e-04 41/262 [===>..........................] - ETA: 0s - loss: 1.2270e-04 80/262 [========>.....................] - ETA: 0s - loss: 1.2080e-04 120/262 [============>.................] - ETA: 0s - loss: 1.3072e-04 161/262 [=================>............] - ETA: 0s - loss: 1.3471e-04 201/262 [======================>.......] - ETA: 0s - loss: 1.3411e-04 241/262 [==========================>...] - ETA: 0s - loss: 1.3183e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2876e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 8.3604e-05 41/262 [===>..........................] - ETA: 0s - loss: 8.8542e-05 82/262 [========>.....................] - ETA: 0s - loss: 8.6301e-05 118/262 [============>.................] - ETA: 0s - loss: 8.7968e-05 152/262 [================>.............] - ETA: 0s - loss: 1.0082e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.0489e-04 232/262 [=========================>....] - ETA: 0s - loss: 1.0428e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0757e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 4.6361e-05 41/262 [===>..........................] - ETA: 0s - loss: 8.3550e-05 79/262 [========>.....................] - ETA: 0s - loss: 9.5391e-05 119/262 [============>.................] - ETA: 0s - loss: 9.3145e-05 158/262 [=================>............] - ETA: 0s - loss: 9.0529e-05 198/262 [=====================>........] - ETA: 0s - loss: 8.4340e-05 238/262 [==========================>...] - ETA: 0s - loss: 8.4052e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.7180e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 6.2190e-05 41/262 [===>..........................] - ETA: 0s - loss: 8.4301e-05 82/262 [========>.....................] - ETA: 0s - loss: 8.4733e-05 122/262 [============>.................] - ETA: 0s - loss: 8.2283e-05 162/262 [=================>............] - ETA: 0s - loss: 7.6597e-05 203/262 [======================>.......] - ETA: 0s - loss: 7.2712e-05 244/262 [==========================>...] - ETA: 0s - loss: 7.0433e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.2498e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.2699e-05 41/262 [===>..........................] - ETA: 0s - loss: 5.9876e-05 81/262 [========>.....................] - ETA: 0s - loss: 6.2872e-05 121/262 [============>.................] - ETA: 0s - loss: 6.0331e-05 153/262 [================>.............] - ETA: 0s - loss: 6.1325e-05 194/262 [=====================>........] - ETA: 0s - loss: 6.1692e-05 233/262 [=========================>....] - ETA: 0s - loss: 6.2070e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.2014e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.0858e-05 40/262 [===>..........................] - ETA: 0s - loss: 4.2733e-05 78/262 [=======>......................] - ETA: 0s - loss: 4.0573e-05 113/262 [===========>..................] - ETA: 0s - loss: 5.0242e-05 146/262 [===============>..............] - ETA: 0s - loss: 5.1737e-05 178/262 [===================>..........] - ETA: 0s - loss: 4.9595e-05 214/262 [=======================>......] - ETA: 0s - loss: 5.1892e-05 254/262 [============================>.] - ETA: 0s - loss: 5.1633e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.1007e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 653, 1 KNN fn, tp: 0, 10 KNN f1 score: 0.952 KNN cohens kappa score: 0.952 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 1:00 - loss: 3.6306e-04 31/262 [==>...........................] - ETA: 0s - loss: 4.3796e-04  56/262 [=====>........................] - ETA: 0s - loss: 4.1036e-04 83/262 [========>.....................] - ETA: 0s - loss: 4.0100e-04 109/262 [===========>..................] - ETA: 0s - loss: 4.3157e-04 141/262 [===============>..............] - ETA: 0s - loss: 4.1518e-04 168/262 [==================>...........] - ETA: 0s - loss: 4.0891e-04 200/262 [=====================>........] - ETA: 0s - loss: 4.0238e-04 234/262 [=========================>....] - ETA: 0s - loss: 3.9180e-04 262/262 [==============================] - 1s 2ms/step - loss: 3.8213e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.0047e-04 33/262 [==>...........................] - ETA: 0s - loss: 2.8627e-04 66/262 [======>.......................] - ETA: 0s - loss: 3.2713e-04 104/262 [==========>...................] - ETA: 0s - loss: 3.0735e-04 143/262 [===============>..............] - ETA: 0s - loss: 3.1399e-04 180/262 [===================>..........] - ETA: 0s - loss: 3.1124e-04 219/262 [========================>.....] - ETA: 0s - loss: 3.0855e-04 254/262 [============================>.] - ETA: 0s - loss: 3.0599e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.0402e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 8.8503e-05 38/262 [===>..........................] - ETA: 0s - loss: 2.2429e-04 79/262 [========>.....................] - ETA: 0s - loss: 2.7697e-04 118/262 [============>.................] - ETA: 0s - loss: 2.5662e-04 155/262 [================>.............] - ETA: 0s - loss: 2.4747e-04 192/262 [====================>.........] - ETA: 0s - loss: 2.3689e-04 231/262 [=========================>....] - ETA: 0s - loss: 2.3957e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.4097e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 7.0071e-05 38/262 [===>..........................] - ETA: 0s - loss: 2.4775e-04 76/262 [=======>......................] - ETA: 0s - loss: 2.3800e-04 114/262 [============>.................] - ETA: 0s - loss: 2.1368e-04 153/262 [================>.............] - ETA: 0s - loss: 1.9844e-04 189/262 [====================>.........] - ETA: 0s - loss: 2.0400e-04 228/262 [=========================>....] - ETA: 0s - loss: 1.9923e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.9533e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.7537e-04 39/262 [===>..........................] - ETA: 0s - loss: 1.7609e-04 73/262 [=======>......................] - ETA: 0s - loss: 1.6637e-04 106/262 [===========>..................] - ETA: 0s - loss: 1.6560e-04 142/262 [===============>..............] - ETA: 0s - loss: 1.6963e-04 182/262 [===================>..........] - ETA: 0s - loss: 1.6918e-04 221/262 [========================>.....] - ETA: 0s - loss: 1.5736e-04 260/262 [============================>.] - ETA: 0s - loss: 1.5776e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.5798e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.8141e-04 42/262 [===>..........................] - ETA: 0s - loss: 1.4746e-04 81/262 [========>.....................] - ETA: 0s - loss: 1.6559e-04 121/262 [============>.................] - ETA: 0s - loss: 1.5202e-04 161/262 [=================>............] - ETA: 0s - loss: 1.4112e-04 202/262 [======================>.......] - ETA: 0s - loss: 1.3643e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.2802e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2840e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.2186e-05 41/262 [===>..........................] - ETA: 0s - loss: 9.4851e-05 80/262 [========>.....................] - ETA: 0s - loss: 1.1164e-04 119/262 [============>.................] - ETA: 0s - loss: 1.1291e-04 158/262 [=================>............] - ETA: 0s - loss: 1.0584e-04 198/262 [=====================>........] - ETA: 0s - loss: 1.0272e-04 235/262 [=========================>....] - ETA: 0s - loss: 1.0361e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0567e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 4.4990e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.0912e-04 79/262 [========>.....................] - ETA: 0s - loss: 9.1186e-05 119/262 [============>.................] - ETA: 0s - loss: 9.7875e-05 158/262 [=================>............] - ETA: 0s - loss: 9.5480e-05 197/262 [=====================>........] - ETA: 0s - loss: 9.1784e-05 234/262 [=========================>....] - ETA: 0s - loss: 8.9331e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.5955e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.8517e-05 40/262 [===>..........................] - ETA: 0s - loss: 5.5658e-05 79/262 [========>.....................] - ETA: 0s - loss: 5.5684e-05 117/262 [============>.................] - ETA: 0s - loss: 6.0188e-05 156/262 [================>.............] - ETA: 0s - loss: 6.6158e-05 196/262 [=====================>........] - ETA: 0s - loss: 7.5394e-05 235/262 [=========================>....] - ETA: 0s - loss: 7.3366e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.2258e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.0547e-05 36/262 [===>..........................] - ETA: 0s - loss: 9.2623e-05 75/262 [=======>......................] - ETA: 0s - loss: 8.4208e-05 114/262 [============>.................] - ETA: 0s - loss: 7.4640e-05 154/262 [================>.............] - ETA: 0s - loss: 6.6134e-05 194/262 [=====================>........] - ETA: 0s - loss: 6.4487e-05 235/262 [=========================>....] - ETA: 0s - loss: 6.1415e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.7994e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 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 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 57s - loss: 3.3470e-05 35/262 [===>..........................] - ETA: 0s - loss: 1.0296e-04  64/262 [======>.......................] - ETA: 0s - loss: 1.2294e-04 100/262 [==========>...................] - ETA: 0s - loss: 1.0402e-04 138/262 [==============>...............] - ETA: 0s - loss: 1.0008e-04 175/262 [===================>..........] - ETA: 0s - loss: 9.3734e-05 211/262 [=======================>......] - ETA: 0s - loss: 9.0263e-05 249/262 [===========================>..] - ETA: 0s - loss: 8.5453e-05 262/262 [==============================] - 1s 1ms/step - loss: 8.3067e-05 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 5.1434e-05 36/262 [===>..........................] - ETA: 0s - loss: 7.5801e-05 70/262 [=======>......................] - ETA: 0s - loss: 7.0720e-05 105/262 [===========>..................] - ETA: 0s - loss: 8.6031e-05 139/262 [==============>...............] - ETA: 0s - loss: 7.8675e-05 172/262 [==================>...........] - ETA: 0s - loss: 7.7554e-05 206/262 [======================>.......] - ETA: 0s - loss: 7.6225e-05 239/262 [==========================>...] - ETA: 0s - loss: 7.1263e-05 262/262 [==============================] - 0s 2ms/step - loss: 6.8081e-05 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 2.5707e-05 35/262 [===>..........................] - ETA: 0s - loss: 5.9372e-05 72/262 [=======>......................] - ETA: 0s - loss: 7.8600e-05 104/262 [==========>...................] - ETA: 0s - loss: 6.6762e-05 136/262 [==============>...............] - ETA: 0s - loss: 6.4117e-05 171/262 [==================>...........] - ETA: 0s - loss: 5.9299e-05 206/262 [======================>.......] - ETA: 0s - loss: 5.6013e-05 244/262 [==========================>...] - ETA: 0s - loss: 5.3475e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.1799e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.0821e-05 37/262 [===>..........................] - ETA: 0s - loss: 3.3474e-05 68/262 [======>.......................] - ETA: 0s - loss: 3.4826e-05 98/262 [==========>...................] - ETA: 0s - loss: 3.3797e-05 134/262 [==============>...............] - ETA: 0s - loss: 4.3904e-05 171/262 [==================>...........] - ETA: 0s - loss: 4.0111e-05 202/262 [======================>.......] - ETA: 0s - loss: 3.8047e-05 236/262 [==========================>...] - ETA: 0s - loss: 3.7784e-05 262/262 [==============================] - 0s 2ms/step - loss: 3.6213e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.5147e-05 35/262 [===>..........................] - ETA: 0s - loss: 2.4589e-05 69/262 [======>.......................] - ETA: 0s - loss: 3.1512e-05 104/262 [==========>...................] - ETA: 0s - loss: 2.8976e-05 138/262 [==============>...............] - ETA: 0s - loss: 2.8294e-05 170/262 [==================>...........] - ETA: 0s - loss: 2.7315e-05 199/262 [=====================>........] - ETA: 0s - loss: 3.0981e-05 215/262 [=======================>......] - ETA: 0s - loss: 3.0228e-05 240/262 [==========================>...] - ETA: 0s - loss: 2.9560e-05 262/262 [==============================] - 0s 2ms/step - loss: 2.9749e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.0058e-05 34/262 [==>...........................] - ETA: 0s - loss: 3.1512e-05 61/262 [=====>........................] - ETA: 0s - loss: 2.5425e-05 94/262 [=========>....................] - ETA: 0s - loss: 2.3369e-05 126/262 [=============>................] - ETA: 0s - loss: 2.3013e-05 158/262 [=================>............] - ETA: 0s - loss: 2.3416e-05 187/262 [====================>.........] - ETA: 0s - loss: 2.3218e-05 217/262 [=======================>......] - ETA: 0s - loss: 2.2155e-05 242/262 [==========================>...] - ETA: 0s - loss: 2.1525e-05 262/262 [==============================] - 0s 2ms/step - loss: 2.4914e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.1376e-05 27/262 [==>...........................] - ETA: 0s - loss: 1.8308e-05 48/262 [====>.........................] - ETA: 0s - loss: 2.5273e-05 77/262 [=======>......................] - ETA: 0s - loss: 2.2202e-05 103/262 [==========>...................] - ETA: 0s - loss: 2.1492e-05 125/262 [=============>................] - ETA: 0s - loss: 2.7084e-05 149/262 [================>.............] - ETA: 0s - loss: 2.5552e-05 174/262 [==================>...........] - ETA: 0s - loss: 2.4038e-05 204/262 [======================>.......] - ETA: 0s - loss: 2.3289e-05 226/262 [========================>.....] - ETA: 0s - loss: 2.2533e-05 248/262 [===========================>..] - ETA: 0s - loss: 2.2112e-05 262/262 [==============================] - 1s 2ms/step - loss: 2.2116e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 8.1206e-06 27/262 [==>...........................] - ETA: 0s - loss: 4.0189e-05 53/262 [=====>........................] - ETA: 0s - loss: 2.8716e-05 81/262 [========>.....................] - ETA: 0s - loss: 2.3493e-05 108/262 [===========>..................] - ETA: 0s - loss: 2.2129e-05 134/262 [==============>...............] - ETA: 0s - loss: 2.2229e-05 160/262 [=================>............] - ETA: 0s - loss: 2.0688e-05 198/262 [=====================>........] - ETA: 0s - loss: 1.9611e-05 233/262 [=========================>....] - ETA: 0s - loss: 1.9028e-05 262/262 [==============================] - 0s 2ms/step - loss: 1.8454e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.4651e-05 34/262 [==>...........................] - ETA: 0s - loss: 1.6385e-05 69/262 [======>.......................] - ETA: 0s - loss: 1.5628e-05 100/262 [==========>...................] - ETA: 0s - loss: 1.4444e-05 133/262 [==============>...............] - ETA: 0s - loss: 1.4426e-05 169/262 [==================>...........] - ETA: 0s - loss: 1.3573e-05 200/262 [=====================>........] - ETA: 0s - loss: 1.4706e-05 231/262 [=========================>....] - ETA: 0s - loss: 1.4232e-05 262/262 [==============================] - 0s 2ms/step - loss: 1.6531e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.2650e-05 32/262 [==>...........................] - ETA: 0s - loss: 1.4375e-05 63/262 [======>.......................] - ETA: 0s - loss: 1.5410e-05 102/262 [==========>...................] - ETA: 0s - loss: 1.3798e-05 142/262 [===============>..............] - ETA: 0s - loss: 1.2768e-05 178/262 [===================>..........] - ETA: 0s - loss: 1.6502e-05 214/262 [=======================>......] - ETA: 0s - loss: 1.5944e-05 250/262 [===========================>..] - ETA: 0s - loss: 1.5375e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.5284e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 653, 1 KNN fn, tp: 0, 10 KNN f1 score: 0.952 KNN cohens kappa score: 0.952 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2576 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 41s - loss: 0.0110 41/262 [===>..........................] - ETA: 0s - loss: 0.0106  79/262 [========>.....................] - ETA: 0s - loss: 0.0081 119/262 [============>.................] - ETA: 0s - loss: 0.0069 158/262 [=================>............] - ETA: 0s - loss: 0.0059 197/262 [=====================>........] - ETA: 0s - loss: 0.0055 237/262 [==========================>...] - ETA: 0s - loss: 0.0051 262/262 [==============================] - 0s 1ms/step - loss: 0.0049 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 9.8959e-05 41/262 [===>..........................] - ETA: 0s - loss: 0.0027  81/262 [========>.....................] - ETA: 0s - loss: 0.0029 120/262 [============>.................] - ETA: 0s - loss: 0.0031 159/262 [=================>............] - ETA: 0s - loss: 0.0031 199/262 [=====================>........] - ETA: 0s - loss: 0.0030 239/262 [==========================>...] - ETA: 0s - loss: 0.0028 262/262 [==============================] - 0s 1ms/step - loss: 0.0028 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 3.9056e-04 35/262 [===>..........................] - ETA: 0s - loss: 0.0031  68/262 [======>.......................] - ETA: 0s - loss: 0.0025 108/262 [===========>..................] - ETA: 0s - loss: 0.0032 142/262 [===============>..............] - ETA: 0s - loss: 0.0029 179/262 [===================>..........] - ETA: 0s - loss: 0.0027 217/262 [=======================>......] - ETA: 0s - loss: 0.0026 254/262 [============================>.] - ETA: 0s - loss: 0.0025 262/262 [==============================] - 0s 1ms/step - loss: 0.0025 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 7.4092e-05 40/262 [===>..........................] - ETA: 0s - loss: 0.0018  78/262 [=======>......................] - ETA: 0s - loss: 0.0018 117/262 [============>.................] - ETA: 0s - loss: 0.0019 155/262 [================>.............] - ETA: 0s - loss: 0.0019 193/262 [=====================>........] - ETA: 0s - loss: 0.0019 231/262 [=========================>....] - ETA: 0s - loss: 0.0017 262/262 [==============================] - 0s 1ms/step - loss: 0.0018 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 9.7590e-05 41/262 [===>..........................] - ETA: 0s - loss: 0.0014  80/262 [========>.....................] - ETA: 0s - loss: 0.0016 121/262 [============>.................] - ETA: 0s - loss: 0.0017 160/262 [=================>............] - ETA: 0s - loss: 0.0016 199/262 [=====================>........] - ETA: 0s - loss: 0.0016 239/262 [==========================>...] - ETA: 0s - loss: 0.0015 262/262 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.1124e-05 40/262 [===>..........................] - ETA: 0s - loss: 0.0012  81/262 [========>.....................] - ETA: 0s - loss: 0.0012 121/262 [============>.................] - ETA: 0s - loss: 0.0012 161/262 [=================>............] - ETA: 0s - loss: 0.0011 200/262 [=====================>........] - ETA: 0s - loss: 0.0011 240/262 [==========================>...] - ETA: 0s - loss: 0.0011 262/262 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 0.0025 39/262 [===>..........................] - ETA: 0s - loss: 8.4334e-04 79/262 [========>.....................] - ETA: 0s - loss: 8.2722e-04 119/262 [============>.................] - ETA: 0s - loss: 8.0483e-04 159/262 [=================>............] - ETA: 0s - loss: 8.0304e-04 199/262 [=====================>........] - ETA: 0s - loss: 7.8457e-04 237/262 [==========================>...] - ETA: 0s - loss: 7.9726e-04 262/262 [==============================] - 0s 1ms/step - loss: 7.8708e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 0.0026 39/262 [===>..........................] - ETA: 0s - loss: 5.8220e-04 74/262 [=======>......................] - ETA: 0s - loss: 6.1381e-04 108/262 [===========>..................] - ETA: 0s - loss: 6.0353e-04 149/262 [================>.............] - ETA: 0s - loss: 5.7826e-04 188/262 [====================>.........] - ETA: 0s - loss: 5.5704e-04 227/262 [========================>.....] - ETA: 0s - loss: 5.5029e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.3252e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.1570e-06 37/262 [===>..........................] - ETA: 0s - loss: 4.2125e-04 71/262 [=======>......................] - ETA: 0s - loss: 0.0028  103/262 [==========>...................] - ETA: 0s - loss: 0.0021 138/262 [==============>...............] - ETA: 0s - loss: 0.0017 169/262 [==================>...........] - ETA: 0s - loss: 0.0014 203/262 [======================>.......] - ETA: 0s - loss: 0.0013 244/262 [==========================>...] - ETA: 0s - loss: 0.0012 262/262 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.0733e-05 42/262 [===>..........................] - ETA: 0s - loss: 3.1043e-04 82/262 [========>.....................] - ETA: 0s - loss: 3.5539e-04 121/262 [============>.................] - ETA: 0s - loss: 3.4529e-04 159/262 [=================>............] - ETA: 0s - loss: 3.4856e-04 197/262 [=====================>........] - ETA: 0s - loss: 3.4980e-04 237/262 [==========================>...] - ETA: 0s - loss: 3.4557e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.4323e-04 -> test with GAN.predict GAN tn, fp: 651, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 650, 1 LR fn, tp: 0, 9 LR f1 score: 0.947 LR cohens kappa score: 0.947 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 651, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 651, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 649, 2 KNN fn, tp: 0, 9 KNN f1 score: 0.900 KNN cohens kappa score: 0.898 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 1:07 - loss: 8.5677e-05 36/262 [===>..........................] - ETA: 0s - loss: 2.1560e-04  66/262 [======>.......................] - ETA: 0s - loss: 1.7454e-04 98/262 [==========>...................] - ETA: 0s - loss: 1.8993e-04 126/262 [=============>................] - ETA: 0s - loss: 1.9173e-04 150/262 [================>.............] - ETA: 0s - loss: 1.8730e-04 167/262 [==================>...........] - ETA: 0s - loss: 1.8333e-04 177/262 [===================>..........] - ETA: 0s - loss: 1.7924e-04 195/262 [=====================>........] - ETA: 0s - loss: 1.8286e-04 222/262 [========================>.....] - ETA: 0s - loss: 1.7855e-04 248/262 [===========================>..] - ETA: 0s - loss: 1.7356e-04 262/262 [==============================] - 1s 2ms/step - loss: 1.7526e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 5.5346e-05 33/262 [==>...........................] - ETA: 0s - loss: 1.5602e-04 62/262 [======>.......................] - ETA: 0s - loss: 1.7789e-04 89/262 [=========>....................] - ETA: 0s - loss: 1.6654e-04 109/262 [===========>..................] - ETA: 0s - loss: 1.5185e-04 131/262 [==============>...............] - ETA: 0s - loss: 1.4635e-04 154/262 [================>.............] - ETA: 0s - loss: 1.3505e-04 172/262 [==================>...........] - ETA: 0s - loss: 1.3352e-04 198/262 [=====================>........] - ETA: 0s - loss: 1.3558e-04 224/262 [========================>.....] - ETA: 0s - loss: 1.3251e-04 254/262 [============================>.] - ETA: 0s - loss: 1.2776e-04 262/262 [==============================] - 1s 2ms/step - loss: 1.2627e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 0.0019 25/262 [=>............................] - ETA: 0s - loss: 1.5388e-04 56/262 [=====>........................] - ETA: 0s - loss: 1.3648e-04 81/262 [========>.....................] - ETA: 0s - loss: 1.1491e-04 102/262 [==========>...................] - ETA: 0s - loss: 1.2813e-04 122/262 [============>.................] - ETA: 0s - loss: 1.2066e-04 143/262 [===============>..............] - ETA: 0s - loss: 1.1549e-04 168/262 [==================>...........] - ETA: 0s - loss: 1.0725e-04 201/262 [======================>.......] - ETA: 0s - loss: 1.0579e-04 229/262 [=========================>....] - ETA: 0s - loss: 1.0079e-04 256/262 [============================>.] - ETA: 0s - loss: 1.0125e-04 262/262 [==============================] - 1s 2ms/step - loss: 1.0034e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.3241e-05 26/262 [=>............................] - ETA: 0s - loss: 8.4487e-05 60/262 [=====>........................] - ETA: 0s - loss: 9.3799e-05 83/262 [========>.....................] - ETA: 0s - loss: 8.9395e-05 106/262 [===========>..................] - ETA: 0s - loss: 9.8495e-05 134/262 [==============>...............] - ETA: 0s - loss: 9.3733e-05 154/262 [================>.............] - ETA: 0s - loss: 8.9996e-05 170/262 [==================>...........] - ETA: 0s - loss: 8.6272e-05 194/262 [=====================>........] - ETA: 0s - loss: 8.2945e-05 214/262 [=======================>......] - ETA: 0s - loss: 7.9511e-05 235/262 [=========================>....] - ETA: 0s - loss: 7.8205e-05 262/262 [==============================] - 1s 2ms/step - loss: 7.7039e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 5.7547e-05 23/262 [=>............................] - ETA: 0s - loss: 4.8460e-05 45/262 [====>.........................] - ETA: 0s - loss: 5.4695e-05 67/262 [======>.......................] - ETA: 0s - loss: 4.9112e-05 101/262 [==========>...................] - ETA: 0s - loss: 5.4261e-05 130/262 [=============>................] - ETA: 0s - loss: 5.5039e-05 159/262 [=================>............] - ETA: 0s - loss: 5.8643e-05 186/262 [====================>.........] - ETA: 0s - loss: 5.7240e-05 215/262 [=======================>......] - ETA: 0s - loss: 5.7862e-05 245/262 [===========================>..] - ETA: 0s - loss: 5.5457e-05 262/262 [==============================] - 0s 2ms/step - loss: 5.9199e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.2951e-05 26/262 [=>............................] - ETA: 0s - loss: 6.5349e-05 47/262 [====>.........................] - ETA: 0s - loss: 5.6845e-05 76/262 [=======>......................] - ETA: 0s - loss: 6.5359e-05 97/262 [==========>...................] - ETA: 0s - loss: 5.7905e-05 126/262 [=============>................] - ETA: 0s - loss: 5.5203e-05 142/262 [===============>..............] - ETA: 0s - loss: 5.2030e-05 167/262 [==================>...........] - ETA: 0s - loss: 5.0298e-05 199/262 [=====================>........] - ETA: 0s - loss: 4.7555e-05 226/262 [========================>.....] - ETA: 0s - loss: 4.5223e-05 249/262 [===========================>..] - ETA: 0s - loss: 4.5201e-05 262/262 [==============================] - 1s 2ms/step - loss: 4.6460e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.7821e-05 31/262 [==>...........................] - ETA: 0s - loss: 2.3311e-05 53/262 [=====>........................] - ETA: 0s - loss: 2.9459e-05 77/262 [=======>......................] - ETA: 0s - loss: 2.9702e-05 105/262 [===========>..................] - ETA: 0s - loss: 2.9449e-05 133/262 [==============>...............] - ETA: 0s - loss: 3.3729e-05 158/262 [=================>............] - ETA: 0s - loss: 3.9128e-05 187/262 [====================>.........] - ETA: 0s - loss: 4.0749e-05 215/262 [=======================>......] - ETA: 0s - loss: 3.9340e-05 241/262 [==========================>...] - ETA: 0s - loss: 3.7999e-05 262/262 [==============================] - 1s 2ms/step - loss: 3.6811e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.1962e-05 30/262 [==>...........................] - ETA: 0s - loss: 2.5875e-05 58/262 [=====>........................] - ETA: 0s - loss: 3.1008e-05 89/262 [=========>....................] - ETA: 0s - loss: 2.8684e-05 116/262 [============>.................] - ETA: 0s - loss: 3.3520e-05 143/262 [===============>..............] - ETA: 0s - loss: 3.3776e-05 169/262 [==================>...........] - ETA: 0s - loss: 3.3295e-05 196/262 [=====================>........] - ETA: 0s - loss: 3.2840e-05 221/262 [========================>.....] - ETA: 0s - loss: 3.1584e-05 238/262 [==========================>...] - ETA: 0s - loss: 3.0274e-05 253/262 [===========================>..] - ETA: 0s - loss: 3.0210e-05 262/262 [==============================] - 1s 2ms/step - loss: 2.9842e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 9.0630e-06 17/262 [>.............................] - ETA: 0s - loss: 1.6448e-05 35/262 [===>..........................] - ETA: 0s - loss: 1.4401e-05 58/262 [=====>........................] - ETA: 0s - loss: 1.4541e-05 84/262 [========>.....................] - ETA: 0s - loss: 1.9765e-05 107/262 [===========>..................] - ETA: 0s - loss: 2.2143e-05 131/262 [==============>...............] - ETA: 0s - loss: 2.2073e-05 156/262 [================>.............] - ETA: 0s - loss: 2.6637e-05 183/262 [===================>..........] - ETA: 0s - loss: 2.7195e-05 208/262 [======================>.......] - ETA: 0s - loss: 2.6523e-05 233/262 [=========================>....] - ETA: 0s - loss: 2.5998e-05 261/262 [============================>.] - ETA: 0s - loss: 2.4762e-05 262/262 [==============================] - 1s 2ms/step - loss: 2.4760e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 8.3444e-06 29/262 [==>...........................] - ETA: 0s - loss: 2.6078e-05 56/262 [=====>........................] - ETA: 0s - loss: 2.2102e-05 82/262 [========>.....................] - ETA: 0s - loss: 2.8751e-05 111/262 [===========>..................] - ETA: 0s - loss: 2.6016e-05 143/262 [===============>..............] - ETA: 0s - loss: 2.2436e-05 175/262 [===================>..........] - ETA: 0s - loss: 2.1577e-05 202/262 [======================>.......] - ETA: 0s - loss: 2.0003e-05 224/262 [========================>.....] - ETA: 0s - loss: 2.0126e-05 237/262 [==========================>...] - ETA: 0s - loss: 1.9656e-05 249/262 [===========================>..] - ETA: 0s - loss: 1.9331e-05 262/262 [==============================] - 1s 2ms/step - loss: 1.8967e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 51s - loss: 9.0760e-04 32/262 [==>...........................] - ETA: 0s - loss: 6.0743e-04  61/262 [=====>........................] - ETA: 0s - loss: 5.1778e-04 84/262 [========>.....................] - ETA: 0s - loss: 6.0711e-04 114/262 [============>.................] - ETA: 0s - loss: 5.3817e-04 135/262 [==============>...............] - ETA: 0s - loss: 5.3237e-04 163/262 [=================>............] - ETA: 0s - loss: 5.3237e-04 187/262 [====================>.........] - ETA: 0s - loss: 5.4849e-04 215/262 [=======================>......] - ETA: 0s - loss: 5.2709e-04 240/262 [==========================>...] - ETA: 0s - loss: 5.2523e-04 262/262 [==============================] - 1s 2ms/step - loss: 5.2422e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 8.0622e-04 27/262 [==>...........................] - ETA: 0s - loss: 4.2167e-04 48/262 [====>.........................] - ETA: 0s - loss: 4.2172e-04 75/262 [=======>......................] - ETA: 0s - loss: 4.8467e-04 95/262 [=========>....................] - ETA: 0s - loss: 4.9324e-04 116/262 [============>.................] - ETA: 0s - loss: 4.7058e-04 142/262 [===============>..............] - ETA: 0s - loss: 4.3053e-04 163/262 [=================>............] - ETA: 0s - loss: 4.2396e-04 185/262 [====================>.........] - ETA: 0s - loss: 4.1420e-04 215/262 [=======================>......] - ETA: 0s - loss: 4.1830e-04 237/262 [==========================>...] - ETA: 0s - loss: 4.1333e-04 261/262 [============================>.] - ETA: 0s - loss: 3.9785e-04 262/262 [==============================] - 1s 2ms/step - loss: 3.9743e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 4.5403e-05 21/262 [=>............................] - ETA: 0s - loss: 3.9265e-04 38/262 [===>..........................] - ETA: 0s - loss: 3.8315e-04 54/262 [=====>........................] - ETA: 0s - loss: 4.1913e-04 83/262 [========>.....................] - ETA: 0s - loss: 3.8167e-04 111/262 [===========>..................] - ETA: 0s - loss: 3.6734e-04 142/262 [===============>..............] - ETA: 0s - loss: 3.2531e-04 171/262 [==================>...........] - ETA: 0s - loss: 3.3526e-04 197/262 [=====================>........] - ETA: 0s - loss: 3.2219e-04 226/262 [========================>.....] - ETA: 0s - loss: 3.1750e-04 251/262 [===========================>..] - ETA: 0s - loss: 3.1148e-04 262/262 [==============================] - 1s 2ms/step - loss: 3.0623e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.1364e-04 23/262 [=>............................] - ETA: 0s - loss: 2.3957e-04 53/262 [=====>........................] - ETA: 0s - loss: 2.8671e-04 91/262 [=========>....................] - ETA: 0s - loss: 2.4347e-04 122/262 [============>.................] - ETA: 0s - loss: 2.5363e-04 152/262 [================>.............] - ETA: 0s - loss: 2.4754e-04 184/262 [====================>.........] - ETA: 0s - loss: 2.3994e-04 215/262 [=======================>......] - ETA: 0s - loss: 2.3642e-04 244/262 [==========================>...] - ETA: 0s - loss: 2.4532e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.4546e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.3323e-05 34/262 [==>...........................] - ETA: 0s - loss: 2.0947e-04 54/262 [=====>........................] - ETA: 0s - loss: 2.7960e-04 75/262 [=======>......................] - ETA: 0s - loss: 2.7471e-04 100/262 [==========>...................] - ETA: 0s - loss: 2.6970e-04 117/262 [============>.................] - ETA: 0s - loss: 2.5822e-04 130/262 [=============>................] - ETA: 0s - loss: 2.5668e-04 146/262 [===============>..............] - ETA: 0s - loss: 2.4524e-04 167/262 [==================>...........] - ETA: 0s - loss: 2.3267e-04 183/262 [===================>..........] - ETA: 0s - loss: 2.1924e-04 206/262 [======================>.......] - ETA: 0s - loss: 2.1324e-04 233/262 [=========================>....] - ETA: 0s - loss: 2.0380e-04 259/262 [============================>.] - ETA: 0s - loss: 1.9378e-04 262/262 [==============================] - 1s 2ms/step - loss: 1.9258e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.4867e-04 30/262 [==>...........................] - ETA: 0s - loss: 1.4915e-04 55/262 [=====>........................] - ETA: 0s - loss: 1.9846e-04 82/262 [========>.....................] - ETA: 0s - loss: 1.6494e-04 108/262 [===========>..................] - ETA: 0s - loss: 1.6607e-04 128/262 [=============>................] - ETA: 0s - loss: 1.5727e-04 157/262 [================>.............] - ETA: 0s - loss: 1.4725e-04 183/262 [===================>..........] - ETA: 0s - loss: 1.3846e-04 200/262 [=====================>........] - ETA: 0s - loss: 1.3863e-04 229/262 [=========================>....] - ETA: 0s - loss: 1.3011e-04 262/262 [==============================] - 1s 2ms/step - loss: 1.3100e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 3.3518e-05 28/262 [==>...........................] - ETA: 0s - loss: 1.5780e-04 52/262 [====>.........................] - ETA: 0s - loss: 1.0285e-04 80/262 [========>.....................] - ETA: 0s - loss: 1.1672e-04 106/262 [===========>..................] - ETA: 0s - loss: 1.1461e-04 124/262 [=============>................] - ETA: 0s - loss: 1.0802e-04 136/262 [==============>...............] - ETA: 0s - loss: 1.0155e-04 156/262 [================>.............] - ETA: 0s - loss: 1.0191e-04 173/262 [==================>...........] - ETA: 0s - loss: 9.6700e-05 203/262 [======================>.......] - ETA: 0s - loss: 9.9023e-05 229/262 [=========================>....] - ETA: 0s - loss: 9.7357e-05 259/262 [============================>.] - ETA: 0s - loss: 9.9597e-05 262/262 [==============================] - 1s 2ms/step - loss: 9.9642e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.0188e-05 25/262 [=>............................] - ETA: 0s - loss: 9.0261e-05 53/262 [=====>........................] - ETA: 0s - loss: 6.7115e-05 79/262 [========>.....................] - ETA: 0s - loss: 6.6201e-05 101/262 [==========>...................] - ETA: 0s - loss: 7.1711e-05 124/262 [=============>................] - ETA: 0s - loss: 6.7624e-05 147/262 [===============>..............] - ETA: 0s - loss: 7.6997e-05 175/262 [===================>..........] - ETA: 0s - loss: 7.7732e-05 198/262 [=====================>........] - ETA: 0s - loss: 8.3304e-05 221/262 [========================>.....] - ETA: 0s - loss: 8.2273e-05 236/262 [==========================>...] - ETA: 0s - loss: 8.5052e-05 256/262 [============================>.] - ETA: 0s - loss: 8.3193e-05 262/262 [==============================] - 1s 2ms/step - loss: 8.2619e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.2253e-04 16/262 [>.............................] - ETA: 0s - loss: 6.9537e-05 27/262 [==>...........................] - ETA: 0s - loss: 5.0642e-05 41/262 [===>..........................] - ETA: 0s - loss: 4.9851e-05 60/262 [=====>........................] - ETA: 0s - loss: 7.1191e-05 84/262 [========>.....................] - ETA: 0s - loss: 7.4570e-05 114/262 [============>.................] - ETA: 0s - loss: 7.0404e-05 148/262 [===============>..............] - ETA: 0s - loss: 6.6837e-05 176/262 [===================>..........] - ETA: 0s - loss: 6.7856e-05 197/262 [=====================>........] - ETA: 0s - loss: 6.7530e-05 216/262 [=======================>......] - ETA: 0s - loss: 6.4698e-05 233/262 [=========================>....] - ETA: 0s - loss: 6.4252e-05 243/262 [==========================>...] - ETA: 0s - loss: 6.2643e-05 260/262 [============================>.] - ETA: 0s - loss: 6.2590e-05 262/262 [==============================] - 1s 3ms/step - loss: 6.4052e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.6057e-04 29/262 [==>...........................] - ETA: 0s - loss: 6.9469e-05 50/262 [====>.........................] - ETA: 0s - loss: 5.3363e-05 74/262 [=======>......................] - ETA: 0s - loss: 5.8121e-05 105/262 [===========>..................] - ETA: 0s - loss: 5.0963e-05 138/262 [==============>...............] - ETA: 0s - loss: 5.7595e-05 170/262 [==================>...........] - ETA: 0s - loss: 5.9008e-05 201/262 [======================>.......] - ETA: 0s - loss: 5.6498e-05 233/262 [=========================>....] - ETA: 0s - loss: 5.5803e-05 262/262 [==============================] - 0s 2ms/step - loss: 5.6235e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 651, 3 KNN fn, tp: 0, 10 KNN f1 score: 0.870 KNN cohens kappa score: 0.867 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 1:37 - loss: 6.7694e-05 27/262 [==>...........................] - ETA: 0s - loss: 0.0028  53/262 [=====>........................] - ETA: 0s - loss: 0.0023 83/262 [========>.....................] - ETA: 0s - loss: 0.0022 105/262 [===========>..................] - ETA: 0s - loss: 0.0022 129/262 [=============>................] - ETA: 0s - loss: 0.0023 153/262 [================>.............] - ETA: 0s - loss: 0.0022 181/262 [===================>..........] - ETA: 0s - loss: 0.0022 205/262 [======================>.......] - ETA: 0s - loss: 0.0022 228/262 [=========================>....] - ETA: 0s - loss: 0.0021 249/262 [===========================>..] - ETA: 0s - loss: 0.0021 262/262 [==============================] - 1s 2ms/step - loss: 0.0020 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0023 29/262 [==>...........................] - ETA: 0s - loss: 0.0018 57/262 [=====>........................] - ETA: 0s - loss: 0.0018 79/262 [========>.....................] - ETA: 0s - loss: 0.0018 102/262 [==========>...................] - ETA: 0s - loss: 0.0017 127/262 [=============>................] - ETA: 0s - loss: 0.0017 152/262 [================>.............] - ETA: 0s - loss: 0.0017 176/262 [===================>..........] - ETA: 0s - loss: 0.0016 206/262 [======================>.......] - ETA: 0s - loss: 0.0016 230/262 [=========================>....] - ETA: 0s - loss: 0.0015 258/262 [============================>.] - ETA: 0s - loss: 0.0015 262/262 [==============================] - 1s 2ms/step - loss: 0.0015 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 3.2462e-04 28/262 [==>...........................] - ETA: 0s - loss: 0.0011  54/262 [=====>........................] - ETA: 0s - loss: 0.0012 75/262 [=======>......................] - ETA: 0s - loss: 0.0012 100/262 [==========>...................] - ETA: 0s - loss: 0.0012 118/262 [============>.................] - ETA: 0s - loss: 0.0013 144/262 [===============>..............] - ETA: 0s - loss: 0.0012 169/262 [==================>...........] - ETA: 0s - loss: 0.0012 192/262 [====================>.........] - ETA: 0s - loss: 0.0012 216/262 [=======================>......] - ETA: 0s - loss: 0.0011 238/262 [==========================>...] - ETA: 0s - loss: 0.0011 262/262 [==============================] - 1s 2ms/step - loss: 0.0011 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 9.1576e-04 26/262 [=>............................] - ETA: 0s - loss: 0.0010  52/262 [====>.........................] - ETA: 0s - loss: 9.9016e-04 74/262 [=======>......................] - ETA: 0s - loss: 0.0010  92/262 [=========>....................] - ETA: 0s - loss: 0.0011 125/262 [=============>................] - ETA: 0s - loss: 0.0011 150/262 [================>.............] - ETA: 0s - loss: 0.0010 173/262 [==================>...........] - ETA: 0s - loss: 0.0010 202/262 [======================>.......] - ETA: 0s - loss: 0.0010 231/262 [=========================>....] - ETA: 0s - loss: 9.9047e-04 258/262 [============================>.] - ETA: 0s - loss: 9.7472e-04 262/262 [==============================] - 1s 2ms/step - loss: 9.7165e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.2141e-05 28/262 [==>...........................] - ETA: 0s - loss: 8.6293e-04 56/262 [=====>........................] - ETA: 0s - loss: 8.7182e-04 83/262 [========>.....................] - ETA: 0s - loss: 8.1281e-04 112/262 [===========>..................] - ETA: 0s - loss: 8.1602e-04 139/262 [==============>...............] - ETA: 0s - loss: 7.9791e-04 164/262 [=================>............] - ETA: 0s - loss: 7.7975e-04 193/262 [=====================>........] - ETA: 0s - loss: 7.7522e-04 218/262 [=======================>......] - ETA: 0s - loss: 7.5506e-04 241/262 [==========================>...] - ETA: 0s - loss: 7.6144e-04 262/262 [==============================] - 1s 2ms/step - loss: 7.6657e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.4968e-04 24/262 [=>............................] - ETA: 0s - loss: 6.1863e-04 44/262 [====>.........................] - ETA: 0s - loss: 5.8069e-04 73/262 [=======>......................] - ETA: 0s - loss: 6.6194e-04 98/262 [==========>...................] - ETA: 0s - loss: 7.0868e-04 121/262 [============>.................] - ETA: 0s - loss: 7.2052e-04 145/262 [===============>..............] - ETA: 0s - loss: 6.9820e-04 172/262 [==================>...........] - ETA: 0s - loss: 6.8423e-04 198/262 [=====================>........] - ETA: 0s - loss: 6.6130e-04 218/262 [=======================>......] - ETA: 0s - loss: 6.5288e-04 244/262 [==========================>...] - ETA: 0s - loss: 6.4141e-04 261/262 [============================>.] - ETA: 0s - loss: 6.3332e-04 262/262 [==============================] - 1s 2ms/step - loss: 6.3273e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 0.0025 26/262 [=>............................] - ETA: 0s - loss: 6.1990e-04 54/262 [=====>........................] - ETA: 0s - loss: 6.2574e-04 81/262 [========>.....................] - ETA: 0s - loss: 6.5264e-04 101/262 [==========>...................] - ETA: 0s - loss: 6.3218e-04 125/262 [=============>................] - ETA: 0s - loss: 5.9426e-04 148/262 [===============>..............] - ETA: 0s - loss: 5.9007e-04 169/262 [==================>...........] - ETA: 0s - loss: 5.5832e-04 201/262 [======================>.......] - ETA: 0s - loss: 5.3035e-04 225/262 [========================>.....] - ETA: 0s - loss: 5.1951e-04 246/262 [===========================>..] - ETA: 0s - loss: 5.1922e-04 262/262 [==============================] - 1s 2ms/step - loss: 5.2380e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 0.0011 29/262 [==>...........................] - ETA: 0s - loss: 4.0572e-04 56/262 [=====>........................] - ETA: 0s - loss: 4.7797e-04 87/262 [========>.....................] - ETA: 0s - loss: 4.8057e-04 112/262 [===========>..................] - ETA: 0s - loss: 4.6447e-04 138/262 [==============>...............] - ETA: 0s - loss: 4.5549e-04 162/262 [=================>............] - ETA: 0s - loss: 4.3866e-04 185/262 [====================>.........] - ETA: 0s - loss: 4.2970e-04 210/262 [=======================>......] - ETA: 0s - loss: 4.2038e-04 237/262 [==========================>...] - ETA: 0s - loss: 4.3175e-04 262/262 [==============================] - 1s 2ms/step - loss: 4.3149e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.1872e-05 29/262 [==>...........................] - ETA: 0s - loss: 3.7763e-04 55/262 [=====>........................] - ETA: 0s - loss: 3.8161e-04 82/262 [========>.....................] - ETA: 0s - loss: 3.5945e-04 108/262 [===========>..................] - ETA: 0s - loss: 3.7378e-04 135/262 [==============>...............] - ETA: 0s - loss: 3.5315e-04 166/262 [==================>...........] - ETA: 0s - loss: 3.4211e-04 193/262 [=====================>........] - ETA: 0s - loss: 3.6518e-04 213/262 [=======================>......] - ETA: 0s - loss: 3.6268e-04 239/262 [==========================>...] - ETA: 0s - loss: 3.6198e-04 262/262 [==============================] - 1s 2ms/step - loss: 3.5307e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 5.1561e-04 24/262 [=>............................] - ETA: 0s - loss: 2.8636e-04 46/262 [====>.........................] - ETA: 0s - loss: 2.9410e-04 69/262 [======>.......................] - ETA: 0s - loss: 2.8958e-04 95/262 [=========>....................] - ETA: 0s - loss: 2.9948e-04 117/262 [============>.................] - ETA: 0s - loss: 2.9189e-04 149/262 [================>.............] - ETA: 0s - loss: 2.9415e-04 176/262 [===================>..........] - ETA: 0s - loss: 2.9233e-04 198/262 [=====================>........] - ETA: 0s - loss: 2.9495e-04 224/262 [========================>.....] - ETA: 0s - loss: 2.9178e-04 251/262 [===========================>..] - ETA: 0s - loss: 2.9612e-04 262/262 [==============================] - 1s 2ms/step - loss: 2.9676e-04 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 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 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 48s - loss: 2.5597e-04 39/262 [===>..........................] - ETA: 0s - loss: 1.9855e-04  77/262 [=======>......................] - ETA: 0s - loss: 2.2017e-04 115/262 [============>.................] - ETA: 0s - loss: 2.2716e-04 153/262 [================>.............] - ETA: 0s - loss: 2.3063e-04 190/262 [====================>.........] - ETA: 0s - loss: 2.2840e-04 225/262 [========================>.....] - ETA: 0s - loss: 2.3194e-04 261/262 [============================>.] - ETA: 0s - loss: 2.3360e-04 262/262 [==============================] - 1s 1ms/step - loss: 2.3388e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 8.2240e-05 36/262 [===>..........................] - ETA: 0s - loss: 2.7821e-04 74/262 [=======>......................] - ETA: 0s - loss: 2.1825e-04 113/262 [===========>..................] - ETA: 0s - loss: 2.1364e-04 152/262 [================>.............] - ETA: 0s - loss: 1.9541e-04 191/262 [====================>.........] - ETA: 0s - loss: 1.9336e-04 230/262 [=========================>....] - ETA: 0s - loss: 1.8650e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.8622e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.0388e-04 32/262 [==>...........................] - ETA: 0s - loss: 1.7326e-04 66/262 [======>.......................] - ETA: 0s - loss: 1.6205e-04 99/262 [==========>...................] - ETA: 0s - loss: 1.6895e-04 138/262 [==============>...............] - ETA: 0s - loss: 1.6226e-04 176/262 [===================>..........] - ETA: 0s - loss: 1.5496e-04 213/262 [=======================>......] - ETA: 0s - loss: 1.5386e-04 252/262 [===========================>..] - ETA: 0s - loss: 1.4740e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.4712e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.9039e-04 40/262 [===>..........................] - ETA: 0s - loss: 1.5346e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.3413e-04 119/262 [============>.................] - ETA: 0s - loss: 1.2963e-04 158/262 [=================>............] - ETA: 0s - loss: 1.2979e-04 197/262 [=====================>........] - ETA: 0s - loss: 1.2383e-04 235/262 [=========================>....] - ETA: 0s - loss: 1.2011e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.1804e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.1890e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.1221e-04 77/262 [=======>......................] - ETA: 0s - loss: 1.1112e-04 110/262 [===========>..................] - ETA: 0s - loss: 1.1418e-04 147/262 [===============>..............] - ETA: 0s - loss: 1.0644e-04 183/262 [===================>..........] - ETA: 0s - loss: 1.0394e-04 221/262 [========================>.....] - ETA: 0s - loss: 1.0050e-04 257/262 [============================>.] - ETA: 0s - loss: 9.6814e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.7262e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 9.4420e-05 39/262 [===>..........................] - ETA: 0s - loss: 8.8380e-05 77/262 [=======>......................] - ETA: 0s - loss: 9.0502e-05 116/262 [============>.................] - ETA: 0s - loss: 8.5744e-05 154/262 [================>.............] - ETA: 0s - loss: 8.3019e-05 192/262 [====================>.........] - ETA: 0s - loss: 8.5503e-05 231/262 [=========================>....] - ETA: 0s - loss: 8.3294e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.0301e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 3.4505e-05 40/262 [===>..........................] - ETA: 0s - loss: 7.2268e-05 78/262 [=======>......................] - ETA: 0s - loss: 7.0740e-05 116/262 [============>.................] - ETA: 0s - loss: 7.5369e-05 154/262 [================>.............] - ETA: 0s - loss: 7.4123e-05 193/262 [=====================>........] - ETA: 0s - loss: 6.9901e-05 232/262 [=========================>....] - ETA: 0s - loss: 6.7717e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.6678e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 7.0583e-05 40/262 [===>..........................] - ETA: 0s - loss: 5.8487e-05 78/262 [=======>......................] - ETA: 0s - loss: 5.4933e-05 115/262 [============>.................] - ETA: 0s - loss: 5.7966e-05 154/262 [================>.............] - ETA: 0s - loss: 5.6746e-05 193/262 [=====================>........] - ETA: 0s - loss: 5.6552e-05 234/262 [=========================>....] - ETA: 0s - loss: 5.5191e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.5831e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.3826e-05 9/262 [>.............................] - ETA: 1s - loss: 3.3001e-05 24/262 [=>............................] - ETA: 1s - loss: 4.9560e-05 40/262 [===>..........................] - ETA: 0s - loss: 4.8090e-05 76/262 [=======>......................] - ETA: 0s - loss: 4.9052e-05 116/262 [============>.................] - ETA: 0s - loss: 4.8655e-05 159/262 [=================>............] - ETA: 0s - loss: 4.5656e-05 201/262 [======================>.......] - ETA: 0s - loss: 4.6683e-05 242/262 [==========================>...] - ETA: 0s - loss: 4.6662e-05 262/262 [==============================] - 0s 2ms/step - loss: 4.6375e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.0729e-05 41/262 [===>..........................] - ETA: 0s - loss: 4.5849e-05 80/262 [========>.....................] - ETA: 0s - loss: 3.9873e-05 121/262 [============>.................] - ETA: 0s - loss: 3.7803e-05 161/262 [=================>............] - ETA: 0s - loss: 3.4213e-05 200/262 [=====================>........] - ETA: 0s - loss: 3.5671e-05 238/262 [==========================>...] - ETA: 0s - loss: 3.9359e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.8505e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 653, 1 KNN fn, tp: 0, 10 KNN f1 score: 0.952 KNN cohens kappa score: 0.952 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2576 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 55s - loss: 2.3284e-04 39/262 [===>..........................] - ETA: 0s - loss: 4.2518e-04  79/262 [========>.....................] - ETA: 0s - loss: 3.5836e-04 118/262 [============>.................] - ETA: 0s - loss: 3.9075e-04 148/262 [===============>..............] - ETA: 0s - loss: 3.8671e-04 180/262 [===================>..........] - ETA: 0s - loss: 3.7116e-04 213/262 [=======================>......] - ETA: 0s - loss: 3.5173e-04 253/262 [===========================>..] - ETA: 0s - loss: 3.3868e-04 262/262 [==============================] - 1s 1ms/step - loss: 3.4122e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0026 41/262 [===>..........................] - ETA: 0s - loss: 3.5974e-04 80/262 [========>.....................] - ETA: 0s - loss: 3.4453e-04 117/262 [============>.................] - ETA: 0s - loss: 3.0030e-04 156/262 [================>.............] - ETA: 0s - loss: 2.7767e-04 196/262 [=====================>........] - ETA: 0s - loss: 2.5297e-04 236/262 [==========================>...] - ETA: 0s - loss: 2.7313e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.6435e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 6.8982e-05 39/262 [===>..........................] - ETA: 0s - loss: 1.6117e-04 79/262 [========>.....................] - ETA: 0s - loss: 2.0476e-04 117/262 [============>.................] - ETA: 0s - loss: 2.2543e-04 155/262 [================>.............] - ETA: 0s - loss: 2.2791e-04 194/262 [=====================>........] - ETA: 0s - loss: 2.1947e-04 230/262 [=========================>....] - ETA: 0s - loss: 2.1997e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.1465e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.5049e-04 39/262 [===>..........................] - ETA: 0s - loss: 2.2881e-04 75/262 [=======>......................] - ETA: 0s - loss: 2.0184e-04 115/262 [============>.................] - ETA: 0s - loss: 1.8857e-04 155/262 [================>.............] - ETA: 0s - loss: 1.6774e-04 195/262 [=====================>........] - ETA: 0s - loss: 1.5867e-04 233/262 [=========================>....] - ETA: 0s - loss: 1.7392e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6861e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 5.6982e-05 40/262 [===>..........................] - ETA: 0s - loss: 2.4380e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.8766e-04 118/262 [============>.................] - ETA: 0s - loss: 1.5796e-04 157/262 [================>.............] - ETA: 0s - loss: 1.6265e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.6419e-04 228/262 [=========================>....] - ETA: 0s - loss: 1.4876e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.4356e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.1846e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.4931e-04 80/262 [========>.....................] - ETA: 0s - loss: 1.2791e-04 119/262 [============>.................] - ETA: 0s - loss: 1.1954e-04 157/262 [================>.............] - ETA: 0s - loss: 1.2485e-04 197/262 [=====================>........] - ETA: 0s - loss: 1.3020e-04 235/262 [=========================>....] - ETA: 0s - loss: 1.2592e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2723e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.9881e-05 40/262 [===>..........................] - ETA: 0s - loss: 6.1171e-05 78/262 [=======>......................] - ETA: 0s - loss: 7.7843e-05 113/262 [===========>..................] - ETA: 0s - loss: 7.9016e-05 151/262 [================>.............] - ETA: 0s - loss: 7.4457e-05 185/262 [====================>.........] - ETA: 0s - loss: 7.5404e-05 217/262 [=======================>......] - ETA: 0s - loss: 8.9924e-05 250/262 [===========================>..] - ETA: 0s - loss: 9.4774e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.4001e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 5.4229e-04 41/262 [===>..........................] - ETA: 0s - loss: 1.3791e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.0890e-04 117/262 [============>.................] - ETA: 0s - loss: 9.6063e-05 157/262 [================>.............] - ETA: 0s - loss: 8.5844e-05 195/262 [=====================>........] - ETA: 0s - loss: 8.8675e-05 234/262 [=========================>....] - ETA: 0s - loss: 8.1486e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.6545e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 3.0157e-05 39/262 [===>..........................] - ETA: 0s - loss: 2.5740e-05 77/262 [=======>......................] - ETA: 0s - loss: 5.1946e-05 114/262 [============>.................] - ETA: 0s - loss: 6.1144e-05 154/262 [================>.............] - ETA: 0s - loss: 6.3819e-05 194/262 [=====================>........] - ETA: 0s - loss: 6.0481e-05 234/262 [=========================>....] - ETA: 0s - loss: 6.5330e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.5115e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.2660e-05 42/262 [===>..........................] - ETA: 0s - loss: 6.1405e-05 80/262 [========>.....................] - ETA: 0s - loss: 7.8457e-05 121/262 [============>.................] - ETA: 0s - loss: 7.8066e-05 160/262 [=================>............] - ETA: 0s - loss: 6.5915e-05 201/262 [======================>.......] - ETA: 0s - loss: 6.8020e-05 240/262 [==========================>...] - ETA: 0s - loss: 6.3393e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.0127e-05 -> test with GAN.predict GAN tn, fp: 651, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 651, 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: 651, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 651, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 650, 1 KNN fn, tp: 0, 9 KNN f1 score: 0.947 KNN cohens kappa score: 0.947 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 1:05 - loss: 4.4571e-04 35/262 [===>..........................] - ETA: 0s - loss: 0.0101  73/262 [=======>......................] - ETA: 0s - loss: 0.0087 104/262 [==========>...................] - ETA: 0s - loss: 0.0102 144/262 [===============>..............] - ETA: 0s - loss: 0.0100 183/262 [===================>..........] - ETA: 0s - loss: 0.0100 219/262 [========================>.....] - ETA: 0s - loss: 0.0098 257/262 [============================>.] - ETA: 0s - loss: 0.0096 262/262 [==============================] - 1s 1ms/step - loss: 0.0095 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0203 40/262 [===>..........................] - ETA: 0s - loss: 0.0097 79/262 [========>.....................] - ETA: 0s - loss: 0.0089 118/262 [============>.................] - ETA: 0s - loss: 0.0089 157/262 [================>.............] - ETA: 0s - loss: 0.0078 196/262 [=====================>........] - ETA: 0s - loss: 0.0075 235/262 [=========================>....] - ETA: 0s - loss: 0.0082 262/262 [==============================] - 0s 1ms/step - loss: 0.0082 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.0827e-04 39/262 [===>..........................] - ETA: 0s - loss: 0.0068  77/262 [=======>......................] - ETA: 0s - loss: 0.0061 116/262 [============>.................] - ETA: 0s - loss: 0.0068 152/262 [================>.............] - ETA: 0s - loss: 0.0072 190/262 [====================>.........] - ETA: 0s - loss: 0.0070 227/262 [========================>.....] - ETA: 0s - loss: 0.0071 262/262 [==============================] - 0s 1ms/step - loss: 0.0070 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 0.0295 40/262 [===>..........................] - ETA: 0s - loss: 0.0089 79/262 [========>.....................] - ETA: 0s - loss: 0.0098 118/262 [============>.................] - ETA: 0s - loss: 0.0097 156/262 [================>.............] - ETA: 0s - loss: 0.0088 193/262 [=====================>........] - ETA: 0s - loss: 0.0080 232/262 [=========================>....] - ETA: 0s - loss: 0.0078 262/262 [==============================] - 0s 1ms/step - loss: 0.0075 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 0.0131 40/262 [===>..........................] - ETA: 0s - loss: 0.0060 77/262 [=======>......................] - ETA: 0s - loss: 0.0055 115/262 [============>.................] - ETA: 0s - loss: 0.0051 154/262 [================>.............] - ETA: 0s - loss: 0.0054 192/262 [====================>.........] - ETA: 0s - loss: 0.0050 231/262 [=========================>....] - ETA: 0s - loss: 0.0050 262/262 [==============================] - 0s 1ms/step - loss: 0.0053 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.2111e-05 39/262 [===>..........................] - ETA: 0s - loss: 0.0062  75/262 [=======>......................] - ETA: 0s - loss: 0.0049 113/262 [===========>..................] - ETA: 0s - loss: 0.0050 151/262 [================>.............] - ETA: 0s - loss: 0.0050 184/262 [====================>.........] - ETA: 0s - loss: 0.0049 219/262 [========================>.....] - ETA: 0s - loss: 0.0047 258/262 [============================>.] - ETA: 0s - loss: 0.0044 262/262 [==============================] - 0s 1ms/step - loss: 0.0044 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 0.0091 36/262 [===>..........................] - ETA: 0s - loss: 0.0033 67/262 [======>.......................] - ETA: 0s - loss: 0.0040 104/262 [==========>...................] - ETA: 0s - loss: 0.0038 138/262 [==============>...............] - ETA: 0s - loss: 0.0042 175/262 [===================>..........] - ETA: 0s - loss: 0.0042 214/262 [=======================>......] - ETA: 0s - loss: 0.0039 252/262 [===========================>..] - ETA: 0s - loss: 0.0036 262/262 [==============================] - 0s 1ms/step - loss: 0.0036 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 3.7568e-04 40/262 [===>..........................] - ETA: 0s - loss: 0.0027  79/262 [========>.....................] - ETA: 0s - loss: 0.0033 117/262 [============>.................] - ETA: 0s - loss: 0.0031 156/262 [================>.............] - ETA: 0s - loss: 0.0026 195/262 [=====================>........] - ETA: 0s - loss: 0.0028 233/262 [=========================>....] - ETA: 0s - loss: 0.0031 262/262 [==============================] - 0s 1ms/step - loss: 0.0030 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 0.0061 38/262 [===>..........................] - ETA: 0s - loss: 0.0029 77/262 [=======>......................] - ETA: 0s - loss: 0.0030 114/262 [============>.................] - ETA: 0s - loss: 0.0030 152/262 [================>.............] - ETA: 0s - loss: 0.0029 190/262 [====================>.........] - ETA: 0s - loss: 0.0026 230/262 [=========================>....] - ETA: 0s - loss: 0.0025 262/262 [==============================] - 0s 1ms/step - loss: 0.0024 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 6.2831e-05 41/262 [===>..........................] - ETA: 0s - loss: 0.0023  82/262 [========>.....................] - ETA: 0s - loss: 0.0020 123/262 [=============>................] - ETA: 0s - loss: 0.0020 163/262 [=================>............] - ETA: 0s - loss: 0.0018 200/262 [=====================>........] - ETA: 0s - loss: 0.0019 237/262 [==========================>...] - ETA: 0s - loss: 0.0019 262/262 [==============================] - 0s 1ms/step - loss: 0.0020 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 653, 1 KNN fn, tp: 0, 10 KNN f1 score: 0.952 KNN cohens kappa score: 0.952 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 56s - loss: 3.2027e-04 39/262 [===>..........................] - ETA: 0s - loss: 3.2491e-04  78/262 [=======>......................] - ETA: 0s - loss: 2.8673e-04 118/262 [============>.................] - ETA: 0s - loss: 2.5154e-04 158/262 [=================>............] - ETA: 0s - loss: 2.3744e-04 192/262 [====================>.........] - ETA: 0s - loss: 2.5767e-04 225/262 [========================>.....] - ETA: 0s - loss: 2.7559e-04 261/262 [============================>.] - ETA: 0s - loss: 2.7231e-04 262/262 [==============================] - 1s 1ms/step - loss: 2.7206e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 6.0408e-05 37/262 [===>..........................] - ETA: 0s - loss: 2.3529e-04 73/262 [=======>......................] - ETA: 0s - loss: 2.6328e-04 96/262 [=========>....................] - ETA: 0s - loss: 2.3973e-04 121/262 [============>.................] - ETA: 0s - loss: 2.3175e-04 155/262 [================>.............] - ETA: 0s - loss: 2.2731e-04 191/262 [====================>.........] - ETA: 0s - loss: 2.1686e-04 227/262 [========================>.....] - ETA: 0s - loss: 2.1485e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.0934e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.0551e-04 37/262 [===>..........................] - ETA: 0s - loss: 1.9315e-04 69/262 [======>.......................] - ETA: 0s - loss: 1.7854e-04 108/262 [===========>..................] - ETA: 0s - loss: 1.9067e-04 145/262 [===============>..............] - ETA: 0s - loss: 1.6937e-04 184/262 [====================>.........] - ETA: 0s - loss: 1.7651e-04 223/262 [========================>.....] - ETA: 0s - loss: 1.7358e-04 262/262 [==============================] - ETA: 0s - loss: 1.6830e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6830e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 3.1226e-05 32/262 [==>...........................] - ETA: 0s - loss: 2.0620e-04 71/262 [=======>......................] - ETA: 0s - loss: 1.7354e-04 110/262 [===========>..................] - ETA: 0s - loss: 1.5386e-04 149/262 [================>.............] - ETA: 0s - loss: 1.5760e-04 181/262 [===================>..........] - ETA: 0s - loss: 1.5460e-04 217/262 [=======================>......] - ETA: 0s - loss: 1.4671e-04 247/262 [===========================>..] - ETA: 0s - loss: 1.4190e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.3676e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 7.6821e-05 36/262 [===>..........................] - ETA: 0s - loss: 1.5691e-04 63/262 [======>.......................] - ETA: 0s - loss: 1.2736e-04 99/262 [==========>...................] - ETA: 0s - loss: 1.1817e-04 127/262 [=============>................] - ETA: 0s - loss: 1.1486e-04 165/262 [=================>............] - ETA: 0s - loss: 1.0961e-04 203/262 [======================>.......] - ETA: 0s - loss: 1.0466e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.0187e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0921e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.4304e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.0211e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.0878e-04 117/262 [============>.................] - ETA: 0s - loss: 9.6566e-05 155/262 [================>.............] - ETA: 0s - loss: 9.7837e-05 193/262 [=====================>........] - ETA: 0s - loss: 9.3902e-05 232/262 [=========================>....] - ETA: 0s - loss: 9.2538e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.1760e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 4.4668e-04 34/262 [==>...........................] - ETA: 0s - loss: 8.8941e-05 68/262 [======>.......................] - ETA: 0s - loss: 9.1188e-05 104/262 [==========>...................] - ETA: 0s - loss: 8.0009e-05 142/262 [===============>..............] - ETA: 0s - loss: 7.8583e-05 179/262 [===================>..........] - ETA: 0s - loss: 7.3891e-05 216/262 [=======================>......] - ETA: 0s - loss: 7.0137e-05 252/262 [===========================>..] - ETA: 0s - loss: 7.1171e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.1163e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.0882e-05 29/262 [==>...........................] - ETA: 0s - loss: 5.1951e-05 60/262 [=====>........................] - ETA: 0s - loss: 5.6420e-05 94/262 [=========>....................] - ETA: 0s - loss: 5.9064e-05 126/262 [=============>................] - ETA: 0s - loss: 6.5057e-05 160/262 [=================>............] - ETA: 0s - loss: 6.3239e-05 184/262 [====================>.........] - ETA: 0s - loss: 6.1140e-05 202/262 [======================>.......] - ETA: 0s - loss: 5.9658e-05 235/262 [=========================>....] - ETA: 0s - loss: 5.9869e-05 262/262 [==============================] - 0s 2ms/step - loss: 6.0266e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.8789e-05 37/262 [===>..........................] - ETA: 0s - loss: 3.8842e-05 72/262 [=======>......................] - ETA: 0s - loss: 3.8486e-05 99/262 [==========>...................] - ETA: 0s - loss: 4.8180e-05 116/262 [============>.................] - ETA: 0s - loss: 5.2834e-05 145/262 [===============>..............] - ETA: 0s - loss: 5.6471e-05 178/262 [===================>..........] - ETA: 0s - loss: 5.6561e-05 211/262 [=======================>......] - ETA: 0s - loss: 5.2883e-05 244/262 [==========================>...] - ETA: 0s - loss: 5.0061e-05 262/262 [==============================] - 0s 2ms/step - loss: 4.9259e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.7927e-05 31/262 [==>...........................] - ETA: 0s - loss: 3.9193e-05 63/262 [======>.......................] - ETA: 0s - loss: 3.9488e-05 96/262 [=========>....................] - ETA: 0s - loss: 4.1136e-05 128/262 [=============>................] - ETA: 0s - loss: 3.9555e-05 161/262 [=================>............] - ETA: 0s - loss: 3.6912e-05 198/262 [=====================>........] - ETA: 0s - loss: 4.0647e-05 235/262 [=========================>....] - ETA: 0s - loss: 4.2975e-05 262/262 [==============================] - 0s 2ms/step - loss: 4.2605e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 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 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 50s - loss: 2.8557e-04 36/262 [===>..........................] - ETA: 0s - loss: 3.8174e-04  70/262 [=======>......................] - ETA: 0s - loss: 3.0736e-04 102/262 [==========>...................] - ETA: 0s - loss: 2.7571e-04 140/262 [===============>..............] - ETA: 0s - loss: 2.6323e-04 175/262 [===================>..........] - ETA: 0s - loss: 2.6395e-04 209/262 [======================>.......] - ETA: 0s - loss: 2.5362e-04 240/262 [==========================>...] - ETA: 0s - loss: 2.4396e-04 262/262 [==============================] - 1s 1ms/step - loss: 2.4261e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.2464e-04 33/262 [==>...........................] - ETA: 0s - loss: 1.9118e-04 68/262 [======>.......................] - ETA: 0s - loss: 1.9227e-04 102/262 [==========>...................] - ETA: 0s - loss: 1.7869e-04 136/262 [==============>...............] - ETA: 0s - loss: 1.7638e-04 165/262 [=================>............] - ETA: 0s - loss: 1.7136e-04 193/262 [=====================>........] - ETA: 0s - loss: 1.6611e-04 217/262 [=======================>......] - ETA: 0s - loss: 1.8999e-04 244/262 [==========================>...] - ETA: 0s - loss: 1.9692e-04 262/262 [==============================] - 0s 2ms/step - loss: 1.9425e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.0588e-04 35/262 [===>..........................] - ETA: 0s - loss: 1.4058e-04 69/262 [======>.......................] - ETA: 0s - loss: 1.5351e-04 102/262 [==========>...................] - ETA: 0s - loss: 1.4857e-04 137/262 [==============>...............] - ETA: 0s - loss: 1.6396e-04 171/262 [==================>...........] - ETA: 0s - loss: 1.6293e-04 208/262 [======================>.......] - ETA: 0s - loss: 1.7583e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.6951e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6910e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.3518e-04 40/262 [===>..........................] - ETA: 0s - loss: 1.3628e-04 73/262 [=======>......................] - ETA: 0s - loss: 1.2116e-04 108/262 [===========>..................] - ETA: 0s - loss: 1.3668e-04 141/262 [===============>..............] - ETA: 0s - loss: 1.5467e-04 176/262 [===================>..........] - ETA: 0s - loss: 1.6118e-04 209/262 [======================>.......] - ETA: 0s - loss: 1.5665e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.4837e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.4554e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.1038e-04 36/262 [===>..........................] - ETA: 0s - loss: 1.0066e-04 73/262 [=======>......................] - ETA: 0s - loss: 9.3062e-05 111/262 [===========>..................] - ETA: 0s - loss: 1.1067e-04 144/262 [===============>..............] - ETA: 0s - loss: 1.0790e-04 178/262 [===================>..........] - ETA: 0s - loss: 1.4160e-04 214/262 [=======================>......] - ETA: 0s - loss: 1.3246e-04 250/262 [===========================>..] - ETA: 0s - loss: 1.2589e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2410e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 8.3549e-05 36/262 [===>..........................] - ETA: 0s - loss: 8.0684e-05 70/262 [=======>......................] - ETA: 0s - loss: 7.5072e-05 103/262 [==========>...................] - ETA: 0s - loss: 7.9094e-05 141/262 [===============>..............] - ETA: 0s - loss: 7.7302e-05 176/262 [===================>..........] - ETA: 0s - loss: 9.2776e-05 213/262 [=======================>......] - ETA: 0s - loss: 9.0803e-05 247/262 [===========================>..] - ETA: 0s - loss: 8.7718e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.0277e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 4.7615e-05 34/262 [==>...........................] - ETA: 0s - loss: 7.9894e-05 68/262 [======>.......................] - ETA: 0s - loss: 1.0697e-04 101/262 [==========>...................] - ETA: 0s - loss: 1.0952e-04 135/262 [==============>...............] - ETA: 0s - loss: 9.7987e-05 166/262 [==================>...........] - ETA: 0s - loss: 9.0636e-05 198/262 [=====================>........] - ETA: 0s - loss: 8.7417e-05 233/262 [=========================>....] - ETA: 0s - loss: 8.3697e-05 262/262 [==============================] - 0s 2ms/step - loss: 8.1270e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 2.6137e-05 34/262 [==>...........................] - ETA: 0s - loss: 6.1406e-05 69/262 [======>.......................] - ETA: 0s - loss: 8.3152e-05 98/262 [==========>...................] - ETA: 0s - loss: 7.3927e-05 125/262 [=============>................] - ETA: 0s - loss: 6.7551e-05 159/262 [=================>............] - ETA: 0s - loss: 7.9651e-05 191/262 [====================>.........] - ETA: 0s - loss: 7.8204e-05 225/262 [========================>.....] - ETA: 0s - loss: 7.6888e-05 259/262 [============================>.] - ETA: 0s - loss: 7.2064e-05 262/262 [==============================] - 0s 2ms/step - loss: 7.1733e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.0233e-05 33/262 [==>...........................] - ETA: 0s - loss: 3.7203e-05 69/262 [======>.......................] - ETA: 0s - loss: 4.0261e-05 106/262 [===========>..................] - ETA: 0s - loss: 5.6172e-05 140/262 [===============>..............] - ETA: 0s - loss: 5.0740e-05 173/262 [==================>...........] - ETA: 0s - loss: 5.2661e-05 211/262 [=======================>......] - ETA: 0s - loss: 5.4009e-05 247/262 [===========================>..] - ETA: 0s - loss: 5.2659e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.9786e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 4.2753e-05 39/262 [===>..........................] - ETA: 0s - loss: 1.8951e-04 73/262 [=======>......................] - ETA: 0s - loss: 1.2468e-04 107/262 [===========>..................] - ETA: 0s - loss: 9.9063e-05 140/262 [===============>..............] - ETA: 0s - loss: 9.5499e-05 175/262 [===================>..........] - ETA: 0s - loss: 8.2320e-05 210/262 [=======================>......] - ETA: 0s - loss: 7.4545e-05 245/262 [===========================>..] - ETA: 0s - loss: 6.7844e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.5585e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 651, 3 KNN fn, tp: 1, 9 KNN f1 score: 0.818 KNN cohens kappa score: 0.815 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 46s - loss: 3.4450e-04 40/262 [===>..........................] - ETA: 0s - loss: 3.3857e-04  80/262 [========>.....................] - ETA: 0s - loss: 4.2047e-04 119/262 [============>.................] - ETA: 0s - loss: 3.8365e-04 152/262 [================>.............] - ETA: 0s - loss: 3.6770e-04 187/262 [====================>.........] - ETA: 0s - loss: 3.6125e-04 224/262 [========================>.....] - ETA: 0s - loss: 3.4562e-04 262/262 [==============================] - 1s 1ms/step - loss: 3.3090e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.6990e-04 41/262 [===>..........................] - ETA: 0s - loss: 2.6235e-04 80/262 [========>.....................] - ETA: 0s - loss: 2.7132e-04 121/262 [============>.................] - ETA: 0s - loss: 2.6697e-04 159/262 [=================>............] - ETA: 0s - loss: 2.6345e-04 190/262 [====================>.........] - ETA: 0s - loss: 2.7361e-04 230/262 [=========================>....] - ETA: 0s - loss: 2.6341e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.5669e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 7.1717e-05 40/262 [===>..........................] - ETA: 0s - loss: 2.6043e-04 76/262 [=======>......................] - ETA: 0s - loss: 2.2910e-04 111/262 [===========>..................] - ETA: 0s - loss: 2.1445e-04 148/262 [===============>..............] - ETA: 0s - loss: 2.0443e-04 181/262 [===================>..........] - ETA: 0s - loss: 2.0564e-04 219/262 [========================>.....] - ETA: 0s - loss: 1.9818e-04 257/262 [============================>.] - ETA: 0s - loss: 1.9573e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.9765e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.3738e-04 37/262 [===>..........................] - ETA: 0s - loss: 1.6530e-04 77/262 [=======>......................] - ETA: 0s - loss: 1.9402e-04 117/262 [============>.................] - ETA: 0s - loss: 1.7231e-04 153/262 [================>.............] - ETA: 0s - loss: 1.7441e-04 193/262 [=====================>........] - ETA: 0s - loss: 1.6430e-04 233/262 [=========================>....] - ETA: 0s - loss: 1.5925e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.5434e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 4.7547e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.5536e-04 81/262 [========>.....................] - ETA: 0s - loss: 1.3316e-04 120/262 [============>.................] - ETA: 0s - loss: 1.2633e-04 160/262 [=================>............] - ETA: 0s - loss: 1.2299e-04 200/262 [=====================>........] - ETA: 0s - loss: 1.1794e-04 238/262 [==========================>...] - ETA: 0s - loss: 1.1908e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2276e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 5.6897e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.0027e-04 82/262 [========>.....................] - ETA: 0s - loss: 9.3824e-05 122/262 [============>.................] - ETA: 0s - loss: 9.9658e-05 161/262 [=================>............] - ETA: 0s - loss: 9.9891e-05 200/262 [=====================>........] - ETA: 0s - loss: 9.8677e-05 240/262 [==========================>...] - ETA: 0s - loss: 9.7038e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.8936e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 6.1101e-05 38/262 [===>..........................] - ETA: 0s - loss: 9.0800e-05 73/262 [=======>......................] - ETA: 0s - loss: 7.8088e-05 112/262 [===========>..................] - ETA: 0s - loss: 8.4579e-05 146/262 [===============>..............] - ETA: 0s - loss: 8.2256e-05 177/262 [===================>..........] - ETA: 0s - loss: 8.4722e-05 209/262 [======================>.......] - ETA: 0s - loss: 8.4914e-05 238/262 [==========================>...] - ETA: 0s - loss: 8.1998e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.9371e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 5.0439e-05 37/262 [===>..........................] - ETA: 0s - loss: 5.8224e-05 73/262 [=======>......................] - ETA: 0s - loss: 6.8112e-05 109/262 [===========>..................] - ETA: 0s - loss: 6.7614e-05 146/262 [===============>..............] - ETA: 0s - loss: 6.6887e-05 182/262 [===================>..........] - ETA: 0s - loss: 6.2692e-05 217/262 [=======================>......] - ETA: 0s - loss: 6.2967e-05 254/262 [============================>.] - ETA: 0s - loss: 6.2927e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.3935e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.7432e-05 33/262 [==>...........................] - ETA: 0s - loss: 6.3678e-05 66/262 [======>.......................] - ETA: 0s - loss: 5.7926e-05 98/262 [==========>...................] - ETA: 0s - loss: 5.6847e-05 127/262 [=============>................] - ETA: 0s - loss: 5.7109e-05 160/262 [=================>............] - ETA: 0s - loss: 5.6835e-05 198/262 [=====================>........] - ETA: 0s - loss: 5.5375e-05 234/262 [=========================>....] - ETA: 0s - loss: 5.3443e-05 262/262 [==============================] - 0s 2ms/step - loss: 5.2495e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 6.0456e-05 33/262 [==>...........................] - ETA: 0s - loss: 3.7199e-05 68/262 [======>.......................] - ETA: 0s - loss: 4.3838e-05 97/262 [==========>...................] - ETA: 0s - loss: 4.5951e-05 133/262 [==============>...............] - ETA: 0s - loss: 4.5596e-05 170/262 [==================>...........] - ETA: 0s - loss: 4.5936e-05 206/262 [======================>.......] - ETA: 0s - loss: 4.4573e-05 240/262 [==========================>...] - ETA: 0s - loss: 4.3940e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.3328e-05 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 654, 0 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 -> test with 'RF' RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 654, 0 KNN fn, tp: 0, 10 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 2576 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 43s - loss: 5.0154e-04 42/262 [===>..........................] - ETA: 0s - loss: 3.0932e-04  83/262 [========>.....................] - ETA: 0s - loss: 3.9349e-04 123/262 [=============>................] - ETA: 0s - loss: 3.1805e-04 163/262 [=================>............] - ETA: 0s - loss: 2.8539e-04 196/262 [=====================>........] - ETA: 0s - loss: 2.5869e-04 236/262 [==========================>...] - ETA: 0s - loss: 2.6122e-04 262/262 [==============================] - 1s 1ms/step - loss: 2.5008e-04 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.6480e-04 35/262 [===>..........................] - ETA: 0s - loss: 1.2911e-04 72/262 [=======>......................] - ETA: 0s - loss: 1.6155e-04 111/262 [===========>..................] - ETA: 0s - loss: 1.7012e-04 150/262 [================>.............] - ETA: 0s - loss: 2.3658e-04 190/262 [====================>.........] - ETA: 0s - loss: 2.1438e-04 230/262 [=========================>....] - ETA: 0s - loss: 1.9716e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.8459e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 7.9659e-05 39/262 [===>..........................] - ETA: 0s - loss: 1.1093e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.1474e-04 116/262 [============>.................] - ETA: 0s - loss: 1.0736e-04 156/262 [================>.............] - ETA: 0s - loss: 1.0591e-04 197/262 [=====================>........] - ETA: 0s - loss: 1.1151e-04 238/262 [==========================>...] - ETA: 0s - loss: 1.5496e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.5535e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.0993e-04 42/262 [===>..........................] - ETA: 0s - loss: 2.4940e-04 82/262 [========>.....................] - ETA: 0s - loss: 1.9824e-04 123/262 [=============>................] - ETA: 0s - loss: 1.6701e-04 163/262 [=================>............] - ETA: 0s - loss: 1.4338e-04 202/262 [======================>.......] - ETA: 0s - loss: 1.3774e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.3154e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2828e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 4.6880e-05 41/262 [===>..........................] - ETA: 0s - loss: 7.8328e-05 80/262 [========>.....................] - ETA: 0s - loss: 7.2141e-05 119/262 [============>.................] - ETA: 0s - loss: 7.1252e-05 159/262 [=================>............] - ETA: 0s - loss: 1.3566e-04 199/262 [=====================>........] - ETA: 0s - loss: 1.3655e-04 239/262 [==========================>...] - ETA: 0s - loss: 1.3256e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2787e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.7445e-05 38/262 [===>..........................] - ETA: 0s - loss: 6.6479e-05 77/262 [=======>......................] - ETA: 0s - loss: 6.3678e-05 115/262 [============>.................] - ETA: 0s - loss: 1.1445e-04 155/262 [================>.............] - ETA: 0s - loss: 1.3690e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.2170e-04 228/262 [=========================>....] - ETA: 0s - loss: 1.2231e-04 261/262 [============================>.] - ETA: 0s - loss: 1.1301e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.1279e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 3.5097e-05 36/262 [===>..........................] - ETA: 0s - loss: 1.8430e-04 72/262 [=======>......................] - ETA: 0s - loss: 1.5655e-04 107/262 [===========>..................] - ETA: 0s - loss: 1.2159e-04 139/262 [==============>...............] - ETA: 0s - loss: 1.0362e-04 173/262 [==================>...........] - ETA: 0s - loss: 9.1022e-05 209/262 [======================>.......] - ETA: 0s - loss: 8.5055e-05 243/262 [==========================>...] - ETA: 0s - loss: 8.0037e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.7895e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 3.8865e-05 36/262 [===>..........................] - ETA: 0s - loss: 3.6207e-05 72/262 [=======>......................] - ETA: 0s - loss: 4.0547e-05 112/262 [===========>..................] - ETA: 0s - loss: 4.4061e-05 152/262 [================>.............] - ETA: 0s - loss: 4.4913e-05 191/262 [====================>.........] - ETA: 0s - loss: 5.5466e-05 228/262 [=========================>....] - ETA: 0s - loss: 7.9518e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.3356e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.1768e-04 32/262 [==>...........................] - ETA: 0s - loss: 7.2176e-05 64/262 [======>.......................] - ETA: 0s - loss: 6.2483e-05 100/262 [==========>...................] - ETA: 0s - loss: 5.8607e-05 133/262 [==============>...............] - ETA: 0s - loss: 5.1489e-05 171/262 [==================>...........] - ETA: 0s - loss: 4.7092e-05 210/262 [=======================>......] - ETA: 0s - loss: 7.8472e-05 248/262 [===========================>..] - ETA: 0s - loss: 7.6671e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.4073e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.7860e-05 34/262 [==>...........................] - ETA: 0s - loss: 1.6260e-04 67/262 [======>.......................] - ETA: 0s - loss: 1.1750e-04 106/262 [===========>..................] - ETA: 0s - loss: 8.4664e-05 144/262 [===============>..............] - ETA: 0s - loss: 6.8021e-05 183/262 [===================>..........] - ETA: 0s - loss: 5.9468e-05 221/262 [========================>.....] - ETA: 0s - loss: 5.4196e-05 260/262 [============================>.] - ETA: 0s - loss: 5.1068e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.0900e-05 -> test with GAN.predict GAN tn, fp: 651, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 -> test with 'LR' LR tn, fp: 651, 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: 651, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -> test with 'GB' GB tn, fp: 651, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -> test with 'KNN' KNN tn, fp: 650, 1 KNN fn, tp: 0, 9 KNN f1 score: 0.947 KNN cohens kappa score: 0.947 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 654, 2 LR fn, tp: 0, 10 LR f1 score: 1.000 LR cohens kappa score: 1.000 LR average precision score: 1.000 average: LR tn, fp: 653.28, 0.12 LR fn, tp: 0.0, 9.8 LR f1 score: 0.994 LR cohens kappa score: 0.994 LR average precision score: 1.000 minimum: LR tn, fp: 650, 0 LR fn, tp: 0, 9 LR f1 score: 0.909 LR cohens kappa score: 0.908 LR average precision score: 1.000 -----[ RF ]----- maximum: RF tn, fp: 654, 0 RF fn, tp: 0, 10 RF f1 score: 1.000 RF cohens kappa score: 1.000 average: RF tn, fp: 653.4, 0.0 RF fn, tp: 0.0, 9.8 RF f1 score: 1.000 RF cohens kappa score: 1.000 minimum: RF tn, fp: 651, 0 RF fn, tp: 0, 9 RF f1 score: 1.000 RF cohens kappa score: 1.000 -----[ GB ]----- maximum: GB tn, fp: 654, 0 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 average: GB tn, fp: 653.4, 0.0 GB fn, tp: 0.0, 9.8 GB f1 score: 1.000 GB cohens kappa score: 1.000 minimum: GB tn, fp: 651, 0 GB fn, tp: 0, 9 GB f1 score: 1.000 GB cohens kappa score: 1.000 -----[ KNN ]----- maximum: KNN tn, fp: 654, 3 KNN fn, tp: 1, 10 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 average: KNN tn, fp: 652.48, 0.92 KNN fn, tp: 0.04, 9.76 KNN f1 score: 0.954 KNN cohens kappa score: 0.954 minimum: KNN tn, fp: 649, 0 KNN fn, tp: 0, 9 KNN f1 score: 0.818 KNN cohens kappa score: 0.815 -----[ GAN ]----- maximum: GAN tn, fp: 654, 0 GAN fn, tp: 0, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 average: GAN tn, fp: 653.4, 0.0 GAN fn, tp: 0.0, 9.8 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 minimum: GAN tn, fp: 651, 0 GAN fn, tp: 0, 9 GAN f1 score: 1.000 GAN cohens kappa score: 1.000