/////////////////////////////////////////// // Running convGAN-proximary-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: 50s - loss: 0.0272 34/262 [==>...........................] - ETA: 0s - loss: 0.0398  70/262 [=======>......................] - ETA: 0s - loss: 0.0196 106/262 [===========>..................] - ETA: 0s - loss: 0.0131 143/262 [===============>..............] - ETA: 0s - loss: 0.0098 179/262 [===================>..........] - ETA: 0s - loss: 0.0081 213/262 [=======================>......] - ETA: 0s - loss: 0.0072 246/262 [===========================>..] - ETA: 0s - loss: 0.0063 262/262 [==============================] - 1s 1ms/step - loss: 0.0060 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.2540e-04 31/262 [==>...........................] - ETA: 0s - loss: 1.4171e-04 60/262 [=====>........................] - ETA: 0s - loss: 1.2633e-04 94/262 [=========>....................] - ETA: 0s - loss: 1.8975e-04 129/262 [=============>................] - ETA: 0s - loss: 1.6504e-04 164/262 [=================>............] - ETA: 0s - loss: 1.4519e-04 199/262 [=====================>........] - ETA: 0s - loss: 1.3445e-04 234/262 [=========================>....] - ETA: 0s - loss: 1.2446e-04 262/262 [==============================] - ETA: 0s - loss: 1.1838e-04 262/262 [==============================] - 0s 2ms/step - loss: 1.1838e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 6.0842e-05 31/262 [==>...........................] - ETA: 0s - loss: 1.2383e-04 60/262 [=====>........................] - ETA: 0s - loss: 9.5986e-05 95/262 [=========>....................] - ETA: 0s - loss: 8.7370e-05 129/262 [=============>................] - ETA: 0s - loss: 7.8043e-05 164/262 [=================>............] - ETA: 0s - loss: 7.2122e-05 201/262 [======================>.......] - ETA: 0s - loss: 6.9286e-05 233/262 [=========================>....] - ETA: 0s - loss: 6.7843e-05 262/262 [==============================] - 0s 2ms/step - loss: 6.5373e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 3.1772e-05 39/262 [===>..........................] - ETA: 0s - loss: 7.9255e-05 73/262 [=======>......................] - ETA: 0s - loss: 5.8070e-05 101/262 [==========>...................] - ETA: 0s - loss: 5.1812e-05 134/262 [==============>...............] - ETA: 0s - loss: 5.3166e-05 170/262 [==================>...........] - ETA: 0s - loss: 5.2049e-05 206/262 [======================>.......] - ETA: 0s - loss: 4.9603e-05 239/262 [==========================>...] - ETA: 0s - loss: 4.8061e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.7982e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.3812e-05 39/262 [===>..........................] - ETA: 0s - loss: 4.9179e-05 76/262 [=======>......................] - ETA: 0s - loss: 4.1618e-05 111/262 [===========>..................] - ETA: 0s - loss: 3.8671e-05 147/262 [===============>..............] - ETA: 0s - loss: 3.7147e-05 181/262 [===================>..........] - ETA: 0s - loss: 3.9208e-05 214/262 [=======================>......] - ETA: 0s - loss: 3.9031e-05 247/262 [===========================>..] - ETA: 0s - loss: 3.7832e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.7572e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.0315e-05 31/262 [==>...........................] - ETA: 0s - loss: 2.9677e-05 59/262 [=====>........................] - ETA: 0s - loss: 2.6927e-05 90/262 [=========>....................] - ETA: 0s - loss: 2.9378e-05 121/262 [============>.................] - ETA: 0s - loss: 3.0504e-05 156/262 [================>.............] - ETA: 0s - loss: 3.3030e-05 190/262 [====================>.........] - ETA: 0s - loss: 3.2605e-05 225/262 [========================>.....] - ETA: 0s - loss: 3.1769e-05 258/262 [============================>.] - ETA: 0s - loss: 2.9986e-05 262/262 [==============================] - 0s 2ms/step - loss: 3.0201e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.3058e-05 36/262 [===>..........................] - ETA: 0s - loss: 2.1893e-05 73/262 [=======>......................] - ETA: 0s - loss: 2.2665e-05 102/262 [==========>...................] - ETA: 0s - loss: 2.3066e-05 129/262 [=============>................] - ETA: 0s - loss: 2.8300e-05 156/262 [================>.............] - ETA: 0s - loss: 2.6304e-05 188/262 [====================>.........] - ETA: 0s - loss: 2.7185e-05 221/262 [========================>.....] - ETA: 0s - loss: 2.6003e-05 250/262 [===========================>..] - ETA: 0s - loss: 2.5367e-05 262/262 [==============================] - 0s 2ms/step - loss: 2.4890e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 2.5152e-05 36/262 [===>..........................] - ETA: 0s - loss: 1.9475e-05 67/262 [======>.......................] - ETA: 0s - loss: 2.2594e-05 100/262 [==========>...................] - ETA: 0s - loss: 2.0571e-05 131/262 [==============>...............] - ETA: 0s - loss: 1.9626e-05 167/262 [==================>...........] - ETA: 0s - loss: 1.9868e-05 202/262 [======================>.......] - ETA: 0s - loss: 2.0889e-05 234/262 [=========================>....] - ETA: 0s - loss: 2.1471e-05 262/262 [==============================] - 0s 2ms/step - loss: 2.0892e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 6.5868e-06 34/262 [==>...........................] - ETA: 0s - loss: 1.4060e-05 67/262 [======>.......................] - ETA: 0s - loss: 1.6376e-05 103/262 [==========>...................] - ETA: 0s - loss: 1.6785e-05 137/262 [==============>...............] - ETA: 0s - loss: 1.6938e-05 171/262 [==================>...........] - ETA: 0s - loss: 1.7448e-05 205/262 [======================>.......] - ETA: 0s - loss: 1.7506e-05 237/262 [==========================>...] - ETA: 0s - loss: 1.7567e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.7632e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 7.5236e-06 38/262 [===>..........................] - ETA: 0s - loss: 1.6278e-05 72/262 [=======>......................] - ETA: 0s - loss: 1.4807e-05 105/262 [===========>..................] - ETA: 0s - loss: 1.5519e-05 141/262 [===============>..............] - ETA: 0s - loss: 1.5484e-05 175/262 [===================>..........] - ETA: 0s - loss: 1.5703e-05 211/262 [=======================>......] - ETA: 0s - loss: 1.5276e-05 247/262 [===========================>..] - ETA: 0s - loss: 1.5106e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.5127e-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: 653, 1 LR fn, tp: 0, 10 LR f1 score: 0.952 LR cohens kappa score: 0.952 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: 3.0366e-04 37/262 [===>..........................] - ETA: 0s - loss: 6.6070  69/262 [======>.......................] - ETA: 0s - loss: 5.6167 101/262 [==========>...................] - ETA: 0s - loss: 4.1433 132/262 [==============>...............] - ETA: 0s - loss: 3.1760 165/262 [=================>............] - ETA: 0s - loss: 2.5414 200/262 [=====================>........] - ETA: 0s - loss: 2.0969 232/262 [=========================>....] - ETA: 0s - loss: 1.8078 262/262 [==============================] - 1s 2ms/step - loss: 1.6052 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0017 31/262 [==>...........................] - ETA: 0s - loss: 0.0010 62/262 [======>.......................] - ETA: 0s - loss: 0.0012 91/262 [=========>....................] - ETA: 0s - loss: 0.0011 121/262 [============>.................] - ETA: 0s - loss: 0.0028 152/262 [================>.............] - ETA: 0s - loss: 0.0040 184/262 [====================>.........] - ETA: 0s - loss: 0.0036 221/262 [========================>.....] - ETA: 0s - loss: 0.0031 259/262 [============================>.] - ETA: 0s - loss: 0.0028 262/262 [==============================] - 0s 2ms/step - loss: 0.0028 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 7.7869e-04 42/262 [===>..........................] - ETA: 0s - loss: 8.5592e-04 82/262 [========>.....................] - ETA: 0s - loss: 9.3609e-04 122/262 [============>.................] - ETA: 0s - loss: 8.5330e-04 161/262 [=================>............] - ETA: 0s - loss: 8.1377e-04 200/262 [=====================>........] - ETA: 0s - loss: 7.8639e-04 239/262 [==========================>...] - ETA: 0s - loss: 7.6321e-04 262/262 [==============================] - 0s 1ms/step - loss: 7.4560e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 8.4903e-05 41/262 [===>..........................] - ETA: 0s - loss: 5.7564e-04 80/262 [========>.....................] - ETA: 0s - loss: 0.0073  121/262 [============>.................] - ETA: 0s - loss: 0.0055 161/262 [=================>............] - ETA: 0s - loss: 0.0044 202/262 [======================>.......] - ETA: 0s - loss: 0.0036 241/262 [==========================>...] - ETA: 0s - loss: 0.0032 262/262 [==============================] - 0s 1ms/step - loss: 0.0029 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 6.4378e-05 44/262 [====>.........................] - ETA: 0s - loss: 6.3222e-04 84/262 [========>.....................] - ETA: 0s - loss: 5.8199e-04 124/262 [=============>................] - ETA: 0s - loss: 5.6845e-04 161/262 [=================>............] - ETA: 0s - loss: 5.2473e-04 200/262 [=====================>........] - ETA: 0s - loss: 4.9664e-04 240/262 [==========================>...] - ETA: 0s - loss: 4.9279e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.8358e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 6.8993e-04 42/262 [===>..........................] - ETA: 0s - loss: 4.5886e-04 83/262 [========>.....................] - ETA: 0s - loss: 4.1492e-04 122/262 [============>.................] - ETA: 0s - loss: 3.8725e-04 153/262 [================>.............] - ETA: 0s - loss: 3.9209e-04 187/262 [====================>.........] - ETA: 0s - loss: 3.8943e-04 221/262 [========================>.....] - ETA: 0s - loss: 3.7807e-04 260/262 [============================>.] - ETA: 0s - loss: 3.7408e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.7234e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.6123e-05 41/262 [===>..........................] - ETA: 0s - loss: 3.5913e-04 76/262 [=======>......................] - ETA: 0s - loss: 3.4365e-04 109/262 [===========>..................] - ETA: 0s - loss: 3.2552e-04 141/262 [===============>..............] - ETA: 0s - loss: 3.0179e-04 174/262 [==================>...........] - ETA: 0s - loss: 3.1028e-04 208/262 [======================>.......] - ETA: 0s - loss: 3.0771e-04 239/262 [==========================>...] - ETA: 0s - loss: 2.9755e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.9897e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.2414e-04 28/262 [==>...........................] - ETA: 0s - loss: 2.9665e-04 55/262 [=====>........................] - ETA: 0s - loss: 2.5012e-04 82/262 [========>.....................] - ETA: 0s - loss: 2.3670e-04 113/262 [===========>..................] - ETA: 0s - loss: 2.5198e-04 144/262 [===============>..............] - ETA: 0s - loss: 2.5201e-04 175/262 [===================>..........] - ETA: 0s - loss: 2.3726e-04 205/262 [======================>.......] - ETA: 0s - loss: 2.4843e-04 237/262 [==========================>...] - ETA: 0s - loss: 2.4895e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.4421e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.4010e-04 32/262 [==>...........................] - ETA: 0s - loss: 1.9279e-04 65/262 [======>.......................] - ETA: 0s - loss: 2.1194e-04 96/262 [=========>....................] - ETA: 0s - loss: 2.1436e-04 126/262 [=============>................] - ETA: 0s - loss: 2.0166e-04 158/262 [=================>............] - ETA: 0s - loss: 1.9657e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.9912e-04 231/262 [=========================>....] - ETA: 0s - loss: 2.0204e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.0187e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 4.8154e-05 42/262 [===>..........................] - ETA: 0s - loss: 1.8338e-04 82/262 [========>.....................] - ETA: 0s - loss: 1.8342e-04 123/262 [=============>................] - ETA: 0s - loss: 1.7617e-04 161/262 [=================>............] - ETA: 0s - loss: 1.7526e-04 201/262 [======================>.......] - ETA: 0s - loss: 1.8057e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.7082e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6841e-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 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: 41s - loss: 0.0013 40/262 [===>..........................] - ETA: 0s - loss: 0.6092  79/262 [========>.....................] - ETA: 0s - loss: 0.3604 119/262 [============>.................] - ETA: 0s - loss: 0.2399 158/262 [=================>............] - ETA: 0s - loss: 0.1809 196/262 [=====================>........] - ETA: 0s - loss: 0.1460 235/262 [=========================>....] - ETA: 0s - loss: 0.1219 262/262 [==============================] - 0s 1ms/step - loss: 0.1096 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0011 38/262 [===>..........................] - ETA: 0s - loss: 5.6745e-04 77/262 [=======>......................] - ETA: 0s - loss: 4.7601e-04 116/262 [============>.................] - ETA: 0s - loss: 9.1760e-04 154/262 [================>.............] - ETA: 0s - loss: 7.5774e-04 192/262 [====================>.........] - ETA: 0s - loss: 6.8340e-04 229/262 [=========================>....] - ETA: 0s - loss: 6.0596e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.5900e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 8.1326e-05 40/262 [===>..........................] - ETA: 0s - loss: 3.1212e-04 75/262 [=======>......................] - ETA: 0s - loss: 2.7867e-04 105/262 [===========>..................] - ETA: 0s - loss: 2.5316e-04 136/262 [==============>...............] - ETA: 0s - loss: 2.5274e-04 170/262 [==================>...........] - ETA: 0s - loss: 2.7476e-04 208/262 [======================>.......] - ETA: 0s - loss: 2.5410e-04 248/262 [===========================>..] - ETA: 0s - loss: 2.4117e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.3533e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 3.8199e-04 40/262 [===>..........................] - ETA: 0s - loss: 1.2672e-04 78/262 [=======>......................] - ETA: 0s - loss: 1.6244e-04 116/262 [============>.................] - ETA: 0s - loss: 1.5611e-04 153/262 [================>.............] - ETA: 0s - loss: 1.7188e-04 189/262 [====================>.........] - ETA: 0s - loss: 1.8198e-04 227/262 [========================>.....] - ETA: 0s - loss: 1.7086e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6877e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.9388e-05 38/262 [===>..........................] - ETA: 0s - loss: 1.2808e-04 75/262 [=======>......................] - ETA: 0s - loss: 1.3406e-04 110/262 [===========>..................] - ETA: 0s - loss: 1.3490e-04 145/262 [===============>..............] - ETA: 0s - loss: 1.2554e-04 179/262 [===================>..........] - ETA: 0s - loss: 1.1729e-04 216/262 [=======================>......] - ETA: 0s - loss: 1.3205e-04 253/262 [===========================>..] - ETA: 0s - loss: 1.2797e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.2537e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.6425e-04 39/262 [===>..........................] - ETA: 0s - loss: 1.0504e-04 77/262 [=======>......................] - ETA: 0s - loss: 9.8697e-05 115/262 [============>.................] - ETA: 0s - loss: 9.1549e-05 153/262 [================>.............] - ETA: 0s - loss: 8.9374e-05 193/262 [=====================>........] - ETA: 0s - loss: 1.0037e-04 232/262 [=========================>....] - ETA: 0s - loss: 9.5771e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.7640e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.2499e-04 39/262 [===>..........................] - ETA: 0s - loss: 7.1701e-05 77/262 [=======>......................] - ETA: 0s - loss: 6.7403e-05 116/262 [============>.................] - ETA: 0s - loss: 6.6116e-05 155/262 [================>.............] - ETA: 0s - loss: 6.9928e-05 195/262 [=====================>........] - ETA: 0s - loss: 7.7109e-05 235/262 [=========================>....] - ETA: 0s - loss: 7.6958e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.6601e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 2.7021e-05 39/262 [===>..........................] - ETA: 0s - loss: 5.8125e-05 77/262 [=======>......................] - ETA: 0s - loss: 5.6224e-05 116/262 [============>.................] - ETA: 0s - loss: 5.3891e-05 152/262 [================>.............] - ETA: 0s - loss: 5.8212e-05 191/262 [====================>.........] - ETA: 0s - loss: 5.9226e-05 230/262 [=========================>....] - ETA: 0s - loss: 6.5465e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.3229e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.0146e-05 39/262 [===>..........................] - ETA: 0s - loss: 5.9266e-05 75/262 [=======>......................] - ETA: 0s - loss: 5.2445e-05 107/262 [===========>..................] - ETA: 0s - loss: 6.4179e-05 138/262 [==============>...............] - ETA: 0s - loss: 6.2422e-05 170/262 [==================>...........] - ETA: 0s - loss: 5.6458e-05 208/262 [======================>.......] - ETA: 0s - loss: 5.3033e-05 243/262 [==========================>...] - ETA: 0s - loss: 5.1178e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.2421e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.0987e-05 33/262 [==>...........................] - ETA: 0s - loss: 3.4123e-05 68/262 [======>.......................] - ETA: 0s - loss: 3.4556e-05 105/262 [===========>..................] - ETA: 0s - loss: 5.0072e-05 142/262 [===============>..............] - ETA: 0s - loss: 4.9320e-05 178/262 [===================>..........] - ETA: 0s - loss: 5.0154e-05 210/262 [=======================>......] - ETA: 0s - loss: 4.7789e-05 243/262 [==========================>...] - ETA: 0s - loss: 4.5238e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.3826e-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: 47s - loss: 3.5339e-05 39/262 [===>..........................] - ETA: 0s - loss: 0.6453  73/262 [=======>......................] - ETA: 0s - loss: 0.4050 113/262 [===========>..................] - ETA: 0s - loss: 0.2623 146/262 [===============>..............] - ETA: 0s - loss: 0.2032 176/262 [===================>..........] - ETA: 0s - loss: 0.1708 203/262 [======================>.......] - ETA: 0s - loss: 0.1482 234/262 [=========================>....] - ETA: 0s - loss: 0.1286 262/262 [==============================] - 1s 2ms/step - loss: 0.1153 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 3.6119e-04 34/262 [==>...........................] - ETA: 0s - loss: 4.2575e-04 72/262 [=======>......................] - ETA: 0s - loss: 3.7913e-04 108/262 [===========>..................] - ETA: 0s - loss: 3.4183e-04 148/262 [===============>..............] - ETA: 0s - loss: 3.1387e-04 188/262 [====================>.........] - ETA: 0s - loss: 2.9659e-04 227/262 [========================>.....] - ETA: 0s - loss: 2.8078e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.7274e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 4.2899e-04 41/262 [===>..........................] - ETA: 0s - loss: 1.8535e-04 81/262 [========>.....................] - ETA: 0s - loss: 1.6265e-04 121/262 [============>.................] - ETA: 0s - loss: 1.5708e-04 161/262 [=================>............] - ETA: 0s - loss: 1.4893e-04 201/262 [======================>.......] - ETA: 0s - loss: 1.4702e-04 242/262 [==========================>...] - ETA: 0s - loss: 1.4419e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.4248e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 4.1324e-05 39/262 [===>..........................] - ETA: 0s - loss: 9.3722e-05 77/262 [=======>......................] - ETA: 0s - loss: 8.7852e-05 116/262 [============>.................] - ETA: 0s - loss: 8.2832e-05 154/262 [================>.............] - ETA: 0s - loss: 8.0394e-05 191/262 [====================>.........] - ETA: 0s - loss: 7.5376e-05 228/262 [=========================>....] - ETA: 0s - loss: 7.1503e-05 260/262 [============================>.] - ETA: 0s - loss: 6.9362e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.9296e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.5459e-05 37/262 [===>..........................] - ETA: 0s - loss: 4.8695e-05 75/262 [=======>......................] - ETA: 0s - loss: 4.9342e-05 113/262 [===========>..................] - ETA: 0s - loss: 4.7626e-05 152/262 [================>.............] - ETA: 0s - loss: 4.4649e-05 191/262 [====================>.........] - ETA: 0s - loss: 4.3885e-05 229/262 [=========================>....] - ETA: 0s - loss: 4.2972e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.1407e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.7440e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.8127e-05 77/262 [=======>......................] - ETA: 0s - loss: 3.2067e-05 116/262 [============>.................] - ETA: 0s - loss: 3.0261e-05 155/262 [================>.............] - ETA: 0s - loss: 2.7786e-05 195/262 [=====================>........] - ETA: 0s - loss: 2.9168e-05 234/262 [=========================>....] - ETA: 0s - loss: 2.9187e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.8070e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.8489e-05 42/262 [===>..........................] - ETA: 0s - loss: 1.9943e-05 82/262 [========>.....................] - ETA: 0s - loss: 2.2130e-05 123/262 [=============>................] - ETA: 0s - loss: 2.3645e-05 163/262 [=================>............] - ETA: 0s - loss: 2.1217e-05 204/262 [======================>.......] - ETA: 0s - loss: 1.9847e-05 244/262 [==========================>...] - ETA: 0s - loss: 1.9300e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.9797e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.0341e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.4604e-05 80/262 [========>.....................] - ETA: 0s - loss: 1.2733e-05 120/262 [============>.................] - ETA: 0s - loss: 1.4104e-05 160/262 [=================>............] - ETA: 0s - loss: 1.6786e-05 199/262 [=====================>........] - ETA: 0s - loss: 1.6047e-05 239/262 [==========================>...] - ETA: 0s - loss: 1.5126e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.4636e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.0968e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.2120e-05 81/262 [========>.....................] - ETA: 0s - loss: 1.1202e-05 119/262 [============>.................] - ETA: 0s - loss: 1.2343e-05 153/262 [================>.............] - ETA: 0s - loss: 1.2691e-05 192/262 [====================>.........] - ETA: 0s - loss: 1.1588e-05 231/262 [=========================>....] - ETA: 0s - loss: 1.1861e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.1345e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.3023e-06 40/262 [===>..........................] - ETA: 0s - loss: 7.1004e-06 79/262 [========>.....................] - ETA: 0s - loss: 8.3742e-06 118/262 [============>.................] - ETA: 0s - loss: 8.3931e-06 159/262 [=================>............] - ETA: 0s - loss: 8.7863e-06 200/262 [=====================>........] - ETA: 0s - loss: 9.2780e-06 242/262 [==========================>...] - ETA: 0s - loss: 8.7965e-06 262/262 [==============================] - 0s 1ms/step - loss: 8.8752e-06 -> 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: 39s - loss: 225.4076 42/262 [===>..........................] - ETA: 0s - loss: 8.5514  81/262 [========>.....................] - ETA: 0s - loss: 4.6493 123/262 [=============>................] - ETA: 0s - loss: 3.0629 164/262 [=================>............] - ETA: 0s - loss: 2.3138 204/262 [======================>.......] - ETA: 0s - loss: 1.8604 237/262 [==========================>...] - ETA: 0s - loss: 1.6501 262/262 [==============================] - 0s 1ms/step - loss: 1.4952 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 9.5268e-04 38/262 [===>..........................] - ETA: 0s - loss: 0.0014  73/262 [=======>......................] - ETA: 0s - loss: 0.0013 107/262 [===========>..................] - ETA: 0s - loss: 0.0018 148/262 [===============>..............] - ETA: 0s - loss: 0.0017 188/262 [====================>.........] - ETA: 0s - loss: 0.0016 228/262 [=========================>....] - ETA: 0s - loss: 0.0016 262/262 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.4775e-04 45/262 [====>.........................] - ETA: 0s - loss: 8.3803e-04 90/262 [=========>....................] - ETA: 0s - loss: 9.8031e-04 131/262 [==============>...............] - ETA: 0s - loss: 0.0010  165/262 [=================>............] - ETA: 0s - loss: 0.0010 198/262 [=====================>........] - ETA: 0s - loss: 0.0011 233/262 [=========================>....] - ETA: 0s - loss: 0.0011 262/262 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 5.4484e-05 39/262 [===>..........................] - ETA: 0s - loss: 5.4270e-04 78/262 [=======>......................] - ETA: 0s - loss: 7.4043e-04 118/262 [============>.................] - ETA: 0s - loss: 9.5434e-04 159/262 [=================>............] - ETA: 0s - loss: 0.0010  201/262 [======================>.......] - ETA: 0s - loss: 9.2408e-04 241/262 [==========================>...] - ETA: 0s - loss: 8.6087e-04 262/262 [==============================] - 0s 1ms/step - loss: 9.1665e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 4.4121e-05 42/262 [===>..........................] - ETA: 0s - loss: 6.1199e-04 82/262 [========>.....................] - ETA: 0s - loss: 4.4200e-04 123/262 [=============>................] - ETA: 0s - loss: 7.4934e-04 164/262 [=================>............] - ETA: 0s - loss: 9.3982e-04 204/262 [======================>.......] - ETA: 0s - loss: 8.7296e-04 245/262 [===========================>..] - ETA: 0s - loss: 8.5028e-04 262/262 [==============================] - 0s 1ms/step - loss: 8.0295e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.3496e-05 39/262 [===>..........................] - ETA: 0s - loss: 5.7400e-04 76/262 [=======>......................] - ETA: 0s - loss: 5.9143e-04 115/262 [============>.................] - ETA: 0s - loss: 4.6959e-04 154/262 [================>.............] - ETA: 0s - loss: 5.3752e-04 193/262 [=====================>........] - ETA: 0s - loss: 6.1048e-04 231/262 [=========================>....] - ETA: 0s - loss: 7.4045e-04 262/262 [==============================] - 0s 1ms/step - loss: 7.1049e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.6496e-05 41/262 [===>..........................] - ETA: 0s - loss: 4.8700e-04 81/262 [========>.....................] - ETA: 0s - loss: 7.1832e-04 116/262 [============>.................] - ETA: 0s - loss: 6.1746e-04 155/262 [================>.............] - ETA: 0s - loss: 5.8967e-04 194/262 [=====================>........] - ETA: 0s - loss: 6.5993e-04 234/262 [=========================>....] - ETA: 0s - loss: 6.7644e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.3057e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 8.4577e-06 37/262 [===>..........................] - ETA: 0s - loss: 6.3340e-04 75/262 [=======>......................] - ETA: 0s - loss: 5.4675e-04 112/262 [===========>..................] - ETA: 0s - loss: 5.2324e-04 151/262 [================>.............] - ETA: 0s - loss: 5.3824e-04 189/262 [====================>.........] - ETA: 0s - loss: 4.9327e-04 228/262 [=========================>....] - ETA: 0s - loss: 5.7248e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.6125e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.1830e-05 40/262 [===>..........................] - ETA: 0s - loss: 5.3702e-04 80/262 [========>.....................] - ETA: 0s - loss: 4.6351e-04 120/262 [============>.................] - ETA: 0s - loss: 3.9829e-04 159/262 [=================>............] - ETA: 0s - loss: 6.3481e-04 196/262 [=====================>........] - ETA: 0s - loss: 5.6781e-04 233/262 [=========================>....] - ETA: 0s - loss: 5.5909e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.9984e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.0589e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.6056e-04 77/262 [=======>......................] - ETA: 0s - loss: 5.8995e-04 117/262 [============>.................] - ETA: 0s - loss: 5.4327e-04 157/262 [================>.............] - ETA: 0s - loss: 5.4663e-04 196/262 [=====================>........] - ETA: 0s - loss: 5.0539e-04 235/262 [=========================>....] - ETA: 0s - loss: 4.5902e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.4588e-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: 651, 0 KNN fn, tp: 0, 9 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 2574 synthetic samples -> retrain GAN for predict Epoch 1/10 1/262 [..............................] - ETA: 43s - loss: 8.5566e-05 37/262 [===>..........................] - ETA: 0s - loss: 0.1890  74/262 [=======>......................] - ETA: 0s - loss: 0.0954 110/262 [===========>..................] - ETA: 0s - loss: 0.0644 149/262 [================>.............] - ETA: 0s - loss: 0.0476 179/262 [===================>..........] - ETA: 0s - loss: 0.0397 210/262 [=======================>......] - ETA: 0s - loss: 0.0339 249/262 [===========================>..] - ETA: 0s - loss: 0.0286 262/262 [==============================] - 1s 1ms/step - loss: 0.0273 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 8.6930e-05 37/262 [===>..........................] - ETA: 0s - loss: 1.3727e-04 71/262 [=======>......................] - ETA: 0s - loss: 1.5057e-04 103/262 [==========>...................] - ETA: 0s - loss: 1.6538e-04 136/262 [==============>...............] - ETA: 0s - loss: 1.5166e-04 172/262 [==================>...........] - ETA: 0s - loss: 1.4293e-04 203/262 [======================>.......] - ETA: 0s - loss: 1.3529e-04 238/262 [==========================>...] - ETA: 0s - loss: 1.2842e-04 262/262 [==============================] - 0s 2ms/step - loss: 1.2507e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.0971e-04 39/262 [===>..........................] - ETA: 0s - loss: 7.6295e-05 75/262 [=======>......................] - ETA: 0s - loss: 6.6532e-05 103/262 [==========>...................] - ETA: 0s - loss: 7.3677e-05 130/262 [=============>................] - ETA: 0s - loss: 6.9643e-05 155/262 [================>.............] - ETA: 0s - loss: 6.6975e-05 183/262 [===================>..........] - ETA: 0s - loss: 6.3850e-05 215/262 [=======================>......] - ETA: 0s - loss: 6.3981e-05 248/262 [===========================>..] - ETA: 0s - loss: 6.1861e-05 262/262 [==============================] - 0s 2ms/step - loss: 6.1224e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.7425e-05 34/262 [==>...........................] - ETA: 0s - loss: 4.1433e-05 67/262 [======>.......................] - ETA: 0s - loss: 4.6148e-05 97/262 [==========>...................] - ETA: 0s - loss: 4.2402e-05 126/262 [=============>................] - ETA: 0s - loss: 4.0551e-05 156/262 [================>.............] - ETA: 0s - loss: 4.3602e-05 186/262 [====================>.........] - ETA: 0s - loss: 4.2118e-05 217/262 [=======================>......] - ETA: 0s - loss: 4.2011e-05 246/262 [===========================>..] - ETA: 0s - loss: 4.0828e-05 262/262 [==============================] - 0s 2ms/step - loss: 3.9662e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.2581e-05 33/262 [==>...........................] - ETA: 0s - loss: 2.2786e-05 59/262 [=====>........................] - ETA: 0s - loss: 2.2461e-05 90/262 [=========>....................] - ETA: 0s - loss: 2.5138e-05 121/262 [============>.................] - ETA: 0s - loss: 2.8534e-05 154/262 [================>.............] - ETA: 0s - loss: 2.7244e-05 182/262 [===================>..........] - ETA: 0s - loss: 2.7329e-05 213/262 [=======================>......] - ETA: 0s - loss: 2.7464e-05 245/262 [===========================>..] - ETA: 0s - loss: 2.7494e-05 262/262 [==============================] - 0s 2ms/step - loss: 2.7032e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.9354e-05 34/262 [==>...........................] - ETA: 0s - loss: 2.2268e-05 69/262 [======>.......................] - ETA: 0s - loss: 2.1654e-05 100/262 [==========>...................] - ETA: 0s - loss: 2.1669e-05 134/262 [==============>...............] - ETA: 0s - loss: 2.1838e-05 168/262 [==================>...........] - ETA: 0s - loss: 2.1354e-05 207/262 [======================>.......] - ETA: 0s - loss: 2.0489e-05 243/262 [==========================>...] - ETA: 0s - loss: 1.9905e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.9478e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.8101e-05 37/262 [===>..........................] - ETA: 0s - loss: 1.5760e-05 69/262 [======>.......................] - ETA: 0s - loss: 1.6687e-05 107/262 [===========>..................] - ETA: 0s - loss: 1.5812e-05 143/262 [===============>..............] - ETA: 0s - loss: 1.5210e-05 178/262 [===================>..........] - ETA: 0s - loss: 1.5565e-05 214/262 [=======================>......] - ETA: 0s - loss: 1.4726e-05 249/262 [===========================>..] - ETA: 0s - loss: 1.4647e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.4567e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 8.7715e-06 36/262 [===>..........................] - ETA: 0s - loss: 1.2364e-05 69/262 [======>.......................] - ETA: 0s - loss: 1.2193e-05 109/262 [===========>..................] - ETA: 0s - loss: 1.2593e-05 143/262 [===============>..............] - ETA: 0s - loss: 1.2080e-05 177/262 [===================>..........] - ETA: 0s - loss: 1.2103e-05 207/262 [======================>.......] - ETA: 0s - loss: 1.1858e-05 236/262 [==========================>...] - ETA: 0s - loss: 1.1815e-05 262/262 [==============================] - 0s 2ms/step - loss: 1.1471e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.0156e-05 37/262 [===>..........................] - ETA: 0s - loss: 9.8567e-06 71/262 [=======>......................] - ETA: 0s - loss: 9.7975e-06 104/262 [==========>...................] - ETA: 0s - loss: 1.0301e-05 137/262 [==============>...............] - ETA: 0s - loss: 1.0293e-05 172/262 [==================>...........] - ETA: 0s - loss: 1.0036e-05 208/262 [======================>.......] - ETA: 0s - loss: 9.5374e-06 244/262 [==========================>...] - ETA: 0s - loss: 9.3740e-06 262/262 [==============================] - 0s 1ms/step - loss: 9.2143e-06 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 4.4227e-06 35/262 [===>..........................] - ETA: 0s - loss: 7.4161e-06 68/262 [======>.......................] - ETA: 0s - loss: 7.8517e-06 104/262 [==========>...................] - ETA: 0s - loss: 8.2666e-06 139/262 [==============>...............] - ETA: 0s - loss: 7.8724e-06 173/262 [==================>...........] - ETA: 0s - loss: 7.6873e-06 207/262 [======================>.......] - ETA: 0s - loss: 7.4985e-06 241/262 [==========================>...] - ETA: 0s - loss: 7.5216e-06 262/262 [==============================] - 0s 1ms/step - loss: 7.4725e-06 -> 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: 47s - loss: 5.1868e-04 37/262 [===>..........................] - ETA: 0s - loss: 8.0273  72/262 [=======>......................] - ETA: 0s - loss: 4.2382 104/262 [==========>...................] - ETA: 0s - loss: 4.5890 135/262 [==============>...............] - ETA: 0s - loss: 3.9477 152/262 [================>.............] - ETA: 0s - loss: 3.5089 177/262 [===================>..........] - ETA: 0s - loss: 3.0911 206/262 [======================>.......] - ETA: 0s - loss: 2.6566 238/262 [==========================>...] - ETA: 0s - loss: 2.3271 262/262 [==============================] - 1s 2ms/step - loss: 2.1201 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0034 29/262 [==>...........................] - ETA: 0s - loss: 0.0036 66/262 [======>.......................] - ETA: 0s - loss: 0.0032 103/262 [==========>...................] - ETA: 0s - loss: 0.0029 139/262 [==============>...............] - ETA: 0s - loss: 0.0027 173/262 [==================>...........] - ETA: 0s - loss: 0.0025 207/262 [======================>.......] - ETA: 0s - loss: 0.0024 241/262 [==========================>...] - ETA: 0s - loss: 0.0032 262/262 [==============================] - 0s 1ms/step - loss: 0.0031 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.5506e-04 37/262 [===>..........................] - ETA: 0s - loss: 0.0013  73/262 [=======>......................] - ETA: 0s - loss: 0.0013 110/262 [===========>..................] - ETA: 0s - loss: 0.0012 146/262 [===============>..............] - ETA: 0s - loss: 0.0012 176/262 [===================>..........] - ETA: 0s - loss: 0.0020 207/262 [======================>.......] - ETA: 0s - loss: 0.0019 239/262 [==========================>...] - ETA: 0s - loss: 0.0018 262/262 [==============================] - 0s 2ms/step - loss: 0.0017 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 5.3978e-04 23/262 [=>............................] - ETA: 0s - loss: 8.8944e-04 51/262 [====>.........................] - ETA: 0s - loss: 0.0025  79/262 [========>.....................] - ETA: 0s - loss: 0.0020 106/262 [===========>..................] - ETA: 0s - loss: 0.0017 135/262 [==============>...............] - ETA: 0s - loss: 0.0016 167/262 [==================>...........] - ETA: 0s - loss: 0.0014 192/262 [====================>.........] - ETA: 0s - loss: 0.0014 219/262 [========================>.....] - ETA: 0s - loss: 0.0013 240/262 [==========================>...] - ETA: 0s - loss: 0.0013 262/262 [==============================] - 1s 2ms/step - loss: 0.0012 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 0.0016 29/262 [==>...........................] - ETA: 0s - loss: 8.1866e-04 61/262 [=====>........................] - ETA: 0s - loss: 8.1190e-04 96/262 [=========>....................] - ETA: 0s - loss: 7.7786e-04 135/262 [==============>...............] - ETA: 0s - loss: 7.9534e-04 172/262 [==================>...........] - ETA: 0s - loss: 0.0010  204/262 [======================>.......] - ETA: 0s - loss: 9.5992e-04 236/262 [==========================>...] - ETA: 0s - loss: 9.2330e-04 262/262 [==============================] - 0s 2ms/step - loss: 9.0589e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 5.7727e-04 37/262 [===>..........................] - ETA: 0s - loss: 6.1890e-04 75/262 [=======>......................] - ETA: 0s - loss: 6.0443e-04 113/262 [===========>..................] - ETA: 0s - loss: 6.5471e-04 150/262 [================>.............] - ETA: 0s - loss: 6.6056e-04 188/262 [====================>.........] - ETA: 0s - loss: 6.5444e-04 226/262 [========================>.....] - ETA: 0s - loss: 6.5131e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.8959e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 9.7006e-04 37/262 [===>..........................] - ETA: 0s - loss: 6.9722e-04 77/262 [=======>......................] - ETA: 0s - loss: 6.1183e-04 115/262 [============>.................] - ETA: 0s - loss: 5.8910e-04 157/262 [================>.............] - ETA: 0s - loss: 5.5837e-04 190/262 [====================>.........] - ETA: 0s - loss: 5.5819e-04 224/262 [========================>.....] - ETA: 0s - loss: 5.8430e-04 262/262 [==============================] - ETA: 0s - loss: 5.5974e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.5974e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 9.8841e-04 41/262 [===>..........................] - ETA: 0s - loss: 4.3248e-04 76/262 [=======>......................] - ETA: 0s - loss: 5.0815e-04 112/262 [===========>..................] - ETA: 0s - loss: 5.0663e-04 151/262 [================>.............] - ETA: 0s - loss: 4.9919e-04 188/262 [====================>.........] - ETA: 0s - loss: 4.8959e-04 220/262 [========================>.....] - ETA: 0s - loss: 4.9241e-04 258/262 [============================>.] - ETA: 0s - loss: 4.6669e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.6975e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.1949e-04 39/262 [===>..........................] - ETA: 0s - loss: 3.7121e-04 76/262 [=======>......................] - ETA: 0s - loss: 3.9519e-04 115/262 [============>.................] - ETA: 0s - loss: 4.0175e-04 152/262 [================>.............] - ETA: 0s - loss: 4.0335e-04 189/262 [====================>.........] - ETA: 0s - loss: 3.9773e-04 226/262 [========================>.....] - ETA: 0s - loss: 3.9779e-04 257/262 [============================>.] - ETA: 0s - loss: 3.9993e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.9833e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 7.2127e-04 39/262 [===>..........................] - ETA: 0s - loss: 3.6782e-04 77/262 [=======>......................] - ETA: 0s - loss: 3.4746e-04 113/262 [===========>..................] - ETA: 0s - loss: 3.4381e-04 152/262 [================>.............] - ETA: 0s - loss: 3.3445e-04 188/262 [====================>.........] - ETA: 0s - loss: 3.4074e-04 227/262 [========================>.....] - ETA: 0s - loss: 3.4544e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.4053e-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: 652, 2 GB fn, tp: 0, 10 GB f1 score: 0.909 GB cohens kappa score: 0.908 -> 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: 43s - loss: 2.0246e-06 39/262 [===>..........................] - ETA: 0s - loss: 3.5852  79/262 [========>.....................] - ETA: 0s - loss: 1.8451 116/262 [============>.................] - ETA: 0s - loss: 1.2568 155/262 [================>.............] - ETA: 0s - loss: 0.9830 194/262 [=====================>........] - ETA: 0s - loss: 0.7855 232/262 [=========================>....] - ETA: 0s - loss: 0.6569 262/262 [==============================] - 1s 1ms/step - loss: 0.5833 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 2.7404e-04 38/262 [===>..........................] - ETA: 0s - loss: 2.5999e-04 75/262 [=======>......................] - ETA: 0s - loss: 2.8372e-04 113/262 [===========>..................] - ETA: 0s - loss: 3.0390e-04 152/262 [================>.............] - ETA: 0s - loss: 2.7752e-04 188/262 [====================>.........] - ETA: 0s - loss: 2.5198e-04 227/262 [========================>.....] - ETA: 0s - loss: 2.4983e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.5153e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 6.3008e-04 39/262 [===>..........................] - ETA: 0s - loss: 2.4201e-04 69/262 [======>.......................] - ETA: 0s - loss: 2.3506e-04 108/262 [===========>..................] - ETA: 0s - loss: 2.0784e-04 145/262 [===============>..............] - ETA: 0s - loss: 2.3140e-04 185/262 [====================>.........] - ETA: 0s - loss: 2.2187e-04 223/262 [========================>.....] - ETA: 0s - loss: 2.1655e-04 257/262 [============================>.] - ETA: 0s - loss: 2.0508e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.0582e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 0.0011 40/262 [===>..........................] - ETA: 0s - loss: 1.6173e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.7341e-04 118/262 [============>.................] - ETA: 0s - loss: 1.9739e-04 157/262 [================>.............] - ETA: 0s - loss: 1.9209e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.7742e-04 225/262 [========================>.....] - ETA: 0s - loss: 1.7884e-04 258/262 [============================>.] - ETA: 0s - loss: 1.7570e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.7355e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 4.4767e-04 37/262 [===>..........................] - ETA: 0s - loss: 1.5809e-04 74/262 [=======>......................] - ETA: 0s - loss: 1.3871e-04 111/262 [===========>..................] - ETA: 0s - loss: 1.3925e-04 152/262 [================>.............] - ETA: 0s - loss: 1.4333e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.3942e-04 231/262 [=========================>....] - ETA: 0s - loss: 0.0066  262/262 [==============================] - 0s 1ms/step - loss: 0.0059 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 9.5734e-06 35/262 [===>..........................] - ETA: 0s - loss: 2.2840e-04 74/262 [=======>......................] - ETA: 0s - loss: 1.8554e-04 113/262 [===========>..................] - ETA: 0s - loss: 1.7368e-04 152/262 [================>.............] - ETA: 0s - loss: 1.8809e-04 189/262 [====================>.........] - ETA: 0s - loss: 1.7318e-04 229/262 [=========================>....] - ETA: 0s - loss: 1.7527e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6549e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 8.0238e-04 41/262 [===>..........................] - ETA: 0s - loss: 1.7302e-04 80/262 [========>.....................] - ETA: 0s - loss: 1.5933e-04 120/262 [============>.................] - ETA: 0s - loss: 1.4884e-04 159/262 [=================>............] - ETA: 0s - loss: 1.3886e-04 198/262 [=====================>........] - ETA: 0s - loss: 1.4325e-04 234/262 [=========================>....] - ETA: 0s - loss: 1.4148e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.3507e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 3.4498e-04 40/262 [===>..........................] - ETA: 0s - loss: 1.5766e-04 78/262 [=======>......................] - ETA: 0s - loss: 1.2099e-04 117/262 [============>.................] - ETA: 0s - loss: 1.0439e-04 152/262 [================>.............] - ETA: 0s - loss: 1.1514e-04 185/262 [====================>.........] - ETA: 0s - loss: 1.2234e-04 224/262 [========================>.....] - ETA: 0s - loss: 1.1814e-04 261/262 [============================>.] - ETA: 0s - loss: 1.1562e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.1549e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 3.0961e-06 40/262 [===>..........................] - ETA: 0s - loss: 6.2099e-05 74/262 [=======>......................] - ETA: 0s - loss: 6.3081e-05 113/262 [===========>..................] - ETA: 0s - loss: 7.8010e-05 153/262 [================>.............] - ETA: 0s - loss: 9.6582e-05 192/262 [====================>.........] - ETA: 0s - loss: 1.0296e-04 231/262 [=========================>....] - ETA: 0s - loss: 1.0080e-04 262/262 [==============================] - 0s 1ms/step - loss: 9.9314e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.9106e-06 36/262 [===>..........................] - ETA: 0s - loss: 5.8716e-05 75/262 [=======>......................] - ETA: 0s - loss: 6.9931e-05 114/262 [============>.................] - ETA: 0s - loss: 7.9320e-05 153/262 [================>.............] - ETA: 0s - loss: 8.9358e-05 191/262 [====================>.........] - ETA: 0s - loss: 8.1783e-05 226/262 [========================>.....] - ETA: 0s - loss: 8.6697e-05 259/262 [============================>.] - ETA: 0s - loss: 8.3762e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.5570e-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: 653, 1 LR fn, tp: 0, 10 LR f1 score: 0.952 LR cohens kappa score: 0.952 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: 41s - loss: 8.2084e-05 41/262 [===>..........................] - ETA: 0s - loss: 0.6441  81/262 [========>.....................] - ETA: 0s - loss: 0.3674 118/262 [============>.................] - ETA: 0s - loss: 0.2540 151/262 [================>.............] - ETA: 0s - loss: 0.1992 185/262 [====================>.........] - ETA: 0s - loss: 0.1628 221/262 [========================>.....] - ETA: 0s - loss: 0.1365 256/262 [============================>.] - ETA: 0s - loss: 0.1179 262/262 [==============================] - 1s 1ms/step - loss: 0.1155 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 3.8215e-04 35/262 [===>..........................] - ETA: 0s - loss: 0.0013  70/262 [=======>......................] - ETA: 0s - loss: 0.0011 107/262 [===========>..................] - ETA: 0s - loss: 9.0050e-04 142/262 [===============>..............] - ETA: 0s - loss: 8.1617e-04 175/262 [===================>..........] - ETA: 0s - loss: 7.4832e-04 211/262 [=======================>......] - ETA: 0s - loss: 6.9186e-04 245/262 [===========================>..] - ETA: 0s - loss: 6.6707e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.4965e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 6.5834e-04 36/262 [===>..........................] - ETA: 0s - loss: 5.7502e-04 70/262 [=======>......................] - ETA: 0s - loss: 4.4894e-04 106/262 [===========>..................] - ETA: 0s - loss: 4.2252e-04 141/262 [===============>..............] - ETA: 0s - loss: 3.9362e-04 173/262 [==================>...........] - ETA: 0s - loss: 3.7405e-04 207/262 [======================>.......] - ETA: 0s - loss: 3.8567e-04 241/262 [==========================>...] - ETA: 0s - loss: 3.8616e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.7666e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.9597e-04 34/262 [==>...........................] - ETA: 0s - loss: 3.4892e-04 67/262 [======>.......................] - ETA: 0s - loss: 2.9951e-04 99/262 [==========>...................] - ETA: 0s - loss: 3.0967e-04 132/262 [==============>...............] - ETA: 0s - loss: 2.9835e-04 164/262 [=================>............] - ETA: 0s - loss: 2.9269e-04 196/262 [=====================>........] - ETA: 0s - loss: 2.7677e-04 228/262 [=========================>....] - ETA: 0s - loss: 2.6675e-04 260/262 [============================>.] - ETA: 0s - loss: 2.6882e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.6865e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.1721e-04 33/262 [==>...........................] - ETA: 0s - loss: 2.2448e-04 66/262 [======>.......................] - ETA: 0s - loss: 2.0403e-04 98/262 [==========>...................] - ETA: 0s - loss: 2.2752e-04 131/262 [==============>...............] - ETA: 0s - loss: 2.2134e-04 164/262 [=================>............] - ETA: 0s - loss: 2.2194e-04 196/262 [=====================>........] - ETA: 0s - loss: 2.2115e-04 227/262 [========================>.....] - ETA: 0s - loss: 2.1685e-04 257/262 [============================>.] - ETA: 0s - loss: 2.0722e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.0603e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.7765e-04 37/262 [===>..........................] - ETA: 0s - loss: 2.1702e-04 71/262 [=======>......................] - ETA: 0s - loss: 1.8712e-04 104/262 [==========>...................] - ETA: 0s - loss: 1.6920e-04 136/262 [==============>...............] - ETA: 0s - loss: 1.6448e-04 166/262 [==================>...........] - ETA: 0s - loss: 1.6536e-04 195/262 [=====================>........] - ETA: 0s - loss: 1.5509e-04 222/262 [========================>.....] - ETA: 0s - loss: 1.4820e-04 252/262 [===========================>..] - ETA: 0s - loss: 1.5199e-04 262/262 [==============================] - 0s 2ms/step - loss: 1.5008e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 6.7085e-05 28/262 [==>...........................] - ETA: 0s - loss: 1.2286e-04 60/262 [=====>........................] - ETA: 0s - loss: 1.3214e-04 93/262 [=========>....................] - ETA: 0s - loss: 1.2522e-04 126/262 [=============>................] - ETA: 0s - loss: 1.2541e-04 162/262 [=================>............] - ETA: 0s - loss: 1.2131e-04 197/262 [=====================>........] - ETA: 0s - loss: 1.1799e-04 237/262 [==========================>...] - ETA: 0s - loss: 1.1437e-04 262/262 [==============================] - 0s 2ms/step - loss: 1.1037e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 5.1919e-05 36/262 [===>..........................] - ETA: 0s - loss: 8.8663e-05 71/262 [=======>......................] - ETA: 0s - loss: 7.9680e-05 104/262 [==========>...................] - ETA: 0s - loss: 9.2974e-05 142/262 [===============>..............] - ETA: 0s - loss: 9.8873e-05 175/262 [===================>..........] - ETA: 0s - loss: 9.3151e-05 210/262 [=======================>......] - ETA: 0s - loss: 9.1225e-05 246/262 [===========================>..] - ETA: 0s - loss: 8.6733e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.5461e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 7.0754e-05 34/262 [==>...........................] - ETA: 0s - loss: 5.9896e-05 69/262 [======>.......................] - ETA: 0s - loss: 6.1099e-05 105/262 [===========>..................] - ETA: 0s - loss: 6.4272e-05 140/262 [===============>..............] - ETA: 0s - loss: 6.2149e-05 172/262 [==================>...........] - ETA: 0s - loss: 6.3722e-05 207/262 [======================>.......] - ETA: 0s - loss: 6.5214e-05 240/262 [==========================>...] - ETA: 0s - loss: 6.9564e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.7750e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.3202e-05 33/262 [==>...........................] - ETA: 0s - loss: 4.8768e-05 67/262 [======>.......................] - ETA: 0s - loss: 4.7731e-05 100/262 [==========>...................] - ETA: 0s - loss: 5.2795e-05 134/262 [==============>...............] - ETA: 0s - loss: 5.8170e-05 166/262 [==================>...........] - ETA: 0s - loss: 5.6731e-05 200/262 [=====================>........] - ETA: 0s - loss: 5.5529e-05 234/262 [=========================>....] - ETA: 0s - loss: 5.6154e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.4518e-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: 41s - loss: 6.2988e-05 35/262 [===>..........................] - ETA: 0s - loss: 0.1958  73/262 [=======>......................] - ETA: 0s - loss: 0.0969 110/262 [===========>..................] - ETA: 0s - loss: 0.0645 132/262 [==============>...............] - ETA: 0s - loss: 0.0538 163/262 [=================>............] - ETA: 0s - loss: 0.0436 201/262 [======================>.......] - ETA: 0s - loss: 0.0354 240/262 [==========================>...] - ETA: 0s - loss: 0.0297 262/262 [==============================] - 1s 1ms/step - loss: 0.0273 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.5319e-04 35/262 [===>..........................] - ETA: 0s - loss: 2.3307e-04 72/262 [=======>......................] - ETA: 0s - loss: 2.0513e-04 107/262 [===========>..................] - ETA: 0s - loss: 1.9246e-04 147/262 [===============>..............] - ETA: 0s - loss: 1.9314e-04 187/262 [====================>.........] - ETA: 0s - loss: 1.8487e-04 228/262 [=========================>....] - ETA: 0s - loss: 1.7770e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.7217e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 3.0871e-04 32/262 [==>...........................] - ETA: 0s - loss: 1.6438e-04 65/262 [======>.......................] - ETA: 0s - loss: 1.4221e-04 93/262 [=========>....................] - ETA: 0s - loss: 1.3426e-04 131/262 [==============>...............] - ETA: 0s - loss: 1.3372e-04 165/262 [=================>............] - ETA: 0s - loss: 1.2583e-04 187/262 [====================>.........] - ETA: 0s - loss: 1.2818e-04 219/262 [========================>.....] - ETA: 0s - loss: 1.2268e-04 252/262 [===========================>..] - ETA: 0s - loss: 1.1680e-04 262/262 [==============================] - 0s 2ms/step - loss: 1.1612e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 6.1142e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.1431e-04 80/262 [========>.....................] - ETA: 0s - loss: 9.8080e-05 119/262 [============>.................] - ETA: 0s - loss: 9.0767e-05 155/262 [================>.............] - ETA: 0s - loss: 8.9363e-05 188/262 [====================>.........] - ETA: 0s - loss: 8.6188e-05 219/262 [========================>.....] - ETA: 0s - loss: 8.7501e-05 248/262 [===========================>..] - ETA: 0s - loss: 8.6909e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.5212e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 4.3333e-05 37/262 [===>..........................] - ETA: 0s - loss: 7.5149e-05 67/262 [======>.......................] - ETA: 0s - loss: 6.3028e-05 101/262 [==========>...................] - ETA: 0s - loss: 6.7690e-05 136/262 [==============>...............] - ETA: 0s - loss: 6.4873e-05 174/262 [==================>...........] - ETA: 0s - loss: 6.4671e-05 209/262 [======================>.......] - ETA: 0s - loss: 6.6378e-05 248/262 [===========================>..] - ETA: 0s - loss: 6.6481e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.7501e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.1329e-04 29/262 [==>...........................] - ETA: 0s - loss: 6.7774e-05 62/262 [======>.......................] - ETA: 0s - loss: 6.0523e-05 101/262 [==========>...................] - ETA: 0s - loss: 6.9637e-05 142/262 [===============>..............] - ETA: 0s - loss: 6.4186e-05 181/262 [===================>..........] - ETA: 0s - loss: 5.9677e-05 219/262 [========================>.....] - ETA: 0s - loss: 5.7818e-05 253/262 [===========================>..] - ETA: 0s - loss: 5.5931e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.5792e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 3.0630e-05 41/262 [===>..........................] - ETA: 0s - loss: 4.5540e-05 80/262 [========>.....................] - ETA: 0s - loss: 5.4366e-05 118/262 [============>.................] - ETA: 0s - loss: 4.8089e-05 157/262 [================>.............] - ETA: 0s - loss: 4.7564e-05 195/262 [=====================>........] - ETA: 0s - loss: 4.6124e-05 229/262 [=========================>....] - ETA: 0s - loss: 4.6119e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.5726e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 9.6965e-06 36/262 [===>..........................] - ETA: 0s - loss: 4.6162e-05 70/262 [=======>......................] - ETA: 0s - loss: 3.9091e-05 109/262 [===========>..................] - ETA: 0s - loss: 3.9894e-05 146/262 [===============>..............] - ETA: 0s - loss: 3.8072e-05 187/262 [====================>.........] - ETA: 0s - loss: 3.7982e-05 227/262 [========================>.....] - ETA: 0s - loss: 3.6824e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.8181e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.2076e-05 40/262 [===>..........................] - ETA: 0s - loss: 3.8480e-05 70/262 [=======>......................] - ETA: 0s - loss: 3.4491e-05 112/262 [===========>..................] - ETA: 0s - loss: 3.4491e-05 152/262 [================>.............] - ETA: 0s - loss: 3.5185e-05 186/262 [====================>.........] - ETA: 0s - loss: 3.5226e-05 226/262 [========================>.....] - ETA: 0s - loss: 3.3835e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.2589e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.3600e-04 31/262 [==>...........................] - ETA: 0s - loss: 3.2437e-05 62/262 [======>.......................] - ETA: 0s - loss: 2.9805e-05 96/262 [=========>....................] - ETA: 0s - loss: 2.7627e-05 128/262 [=============>................] - ETA: 0s - loss: 2.6213e-05 157/262 [================>.............] - ETA: 0s - loss: 2.6547e-05 189/262 [====================>.........] - ETA: 0s - loss: 2.7461e-05 227/262 [========================>.....] - ETA: 0s - loss: 2.7497e-05 262/262 [==============================] - 0s 2ms/step - loss: 2.7577e-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: 42s - loss: 1.6264e-04 39/262 [===>..........................] - ETA: 0s - loss: 0.5773  75/262 [=======>......................] - ETA: 0s - loss: 0.3019 111/262 [===========>..................] - ETA: 0s - loss: 0.2064 148/262 [===============>..............] - ETA: 0s - loss: 0.1551 188/262 [====================>.........] - ETA: 0s - loss: 0.1223 228/262 [=========================>....] - ETA: 0s - loss: 0.1017 262/262 [==============================] - 1s 1ms/step - loss: 0.0888 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 5.9733e-04 40/262 [===>..........................] - ETA: 0s - loss: 7.2172e-04 81/262 [========>.....................] - ETA: 0s - loss: 6.5011e-04 121/262 [============>.................] - ETA: 0s - loss: 6.8754e-04 161/262 [=================>............] - ETA: 0s - loss: 6.2752e-04 199/262 [=====================>........] - ETA: 0s - loss: 5.7953e-04 234/262 [=========================>....] - ETA: 0s - loss: 5.7830e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.7736e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.6122e-04 40/262 [===>..........................] - ETA: 0s - loss: 3.3592e-04 81/262 [========>.....................] - ETA: 0s - loss: 3.2998e-04 116/262 [============>.................] - ETA: 0s - loss: 3.0845e-04 154/262 [================>.............] - ETA: 0s - loss: 2.9969e-04 187/262 [====================>.........] - ETA: 0s - loss: 3.0248e-04 219/262 [========================>.....] - ETA: 0s - loss: 3.0997e-04 248/262 [===========================>..] - ETA: 0s - loss: 3.0234e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.1520e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 6.1120e-05 41/262 [===>..........................] - ETA: 0s - loss: 2.8363e-04 82/262 [========>.....................] - ETA: 0s - loss: 2.4388e-04 121/262 [============>.................] - ETA: 0s - loss: 2.2902e-04 156/262 [================>.............] - ETA: 0s - loss: 2.2607e-04 195/262 [=====================>........] - ETA: 0s - loss: 2.0903e-04 235/262 [=========================>....] - ETA: 0s - loss: 2.0412e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.0805e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 6.5424e-05 35/262 [===>..........................] - ETA: 0s - loss: 1.5608e-04 74/262 [=======>......................] - ETA: 0s - loss: 1.6498e-04 113/262 [===========>..................] - ETA: 0s - loss: 1.5289e-04 147/262 [===============>..............] - ETA: 0s - loss: 1.4773e-04 186/262 [====================>.........] - ETA: 0s - loss: 1.4653e-04 226/262 [========================>.....] - ETA: 0s - loss: 1.4173e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.3670e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.7379e-04 40/262 [===>..........................] - ETA: 0s - loss: 1.0737e-04 80/262 [========>.....................] - ETA: 0s - loss: 1.1235e-04 118/262 [============>.................] - ETA: 0s - loss: 1.1364e-04 156/262 [================>.............] - ETA: 0s - loss: 1.1342e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.0922e-04 228/262 [=========================>....] - ETA: 0s - loss: 1.0464e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0139e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.4559e-04 42/262 [===>..........................] - ETA: 0s - loss: 6.4807e-05 81/262 [========>.....................] - ETA: 0s - loss: 6.9797e-05 116/262 [============>.................] - ETA: 0s - loss: 7.6014e-05 156/262 [================>.............] - ETA: 0s - loss: 7.8240e-05 195/262 [=====================>........] - ETA: 0s - loss: 7.5150e-05 230/262 [=========================>....] - ETA: 0s - loss: 7.9716e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.9143e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 5.5080e-05 41/262 [===>..........................] - ETA: 0s - loss: 7.0061e-05 81/262 [========>.....................] - ETA: 0s - loss: 6.9468e-05 119/262 [============>.................] - ETA: 0s - loss: 6.0910e-05 159/262 [=================>............] - ETA: 0s - loss: 6.2048e-05 198/262 [=====================>........] - ETA: 0s - loss: 6.2874e-05 238/262 [==========================>...] - ETA: 0s - loss: 6.1413e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.1424e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.3059e-05 41/262 [===>..........................] - ETA: 0s - loss: 3.9481e-05 82/262 [========>.....................] - ETA: 0s - loss: 4.2706e-05 120/262 [============>.................] - ETA: 0s - loss: 4.3034e-05 160/262 [=================>............] - ETA: 0s - loss: 4.8139e-05 199/262 [=====================>........] - ETA: 0s - loss: 4.7566e-05 232/262 [=========================>....] - ETA: 0s - loss: 5.0348e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.9640e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 6.0530e-05 37/262 [===>..........................] - ETA: 0s - loss: 4.7455e-05 77/262 [=======>......................] - ETA: 0s - loss: 4.3927e-05 116/262 [============>.................] - ETA: 0s - loss: 4.0740e-05 156/262 [================>.............] - ETA: 0s - loss: 4.2050e-05 194/262 [=====================>........] - ETA: 0s - loss: 4.3873e-05 233/262 [=========================>....] - ETA: 0s - loss: 4.1840e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.0727e-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: 43s - loss: 2.3562e-04 39/262 [===>..........................] - ETA: 0s - loss: 25.8685  78/262 [=======>......................] - ETA: 0s - loss: 12.9389 118/262 [============>.................] - ETA: 0s - loss: 9.3949  157/262 [================>.............] - ETA: 0s - loss: 7.1356 196/262 [=====================>........] - ETA: 0s - loss: 5.7173 235/262 [=========================>....] - ETA: 0s - loss: 4.7694 262/262 [==============================] - 1s 1ms/step - loss: 4.2923 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0037 40/262 [===>..........................] - ETA: 0s - loss: 0.0032 80/262 [========>.....................] - ETA: 0s - loss: 0.0026 118/262 [============>.................] - ETA: 0s - loss: 0.0023 158/262 [=================>............] - ETA: 0s - loss: 0.0235 196/262 [=====================>........] - ETA: 0s - loss: 0.0202 234/262 [=========================>....] - ETA: 0s - loss: 0.0172 262/262 [==============================] - 0s 1ms/step - loss: 0.0464 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 0.0011 41/262 [===>..........................] - ETA: 0s - loss: 0.0035 80/262 [========>.....................] - ETA: 0s - loss: 0.0154 118/262 [============>.................] - ETA: 0s - loss: 0.0111 155/262 [================>.............] - ETA: 0s - loss: 0.0090 195/262 [=====================>........] - ETA: 0s - loss: 0.0075 233/262 [=========================>....] - ETA: 0s - loss: 0.0066 262/262 [==============================] - 0s 1ms/step - loss: 0.0060 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 4.3822e-04 40/262 [===>..........................] - ETA: 0s - loss: 0.0014  79/262 [========>.....................] - ETA: 0s - loss: 0.0015 119/262 [============>.................] - ETA: 0s - loss: 0.0014 158/262 [=================>............] - ETA: 0s - loss: 0.0013 195/262 [=====================>........] - ETA: 0s - loss: 0.0013 232/262 [=========================>....] - ETA: 0s - loss: 0.0013 262/262 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.9257e-04 35/262 [===>..........................] - ETA: 0s - loss: 3.6740e-04 69/262 [======>.......................] - ETA: 0s - loss: 0.0011  109/262 [===========>..................] - ETA: 0s - loss: 0.0011 149/262 [================>.............] - ETA: 0s - loss: 0.0012 188/262 [====================>.........] - ETA: 0s - loss: 0.0012 226/262 [========================>.....] - ETA: 0s - loss: 0.0011 262/262 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.9002e-04 40/262 [===>..........................] - ETA: 0s - loss: 2.6614e-04 79/262 [========>.....................] - ETA: 0s - loss: 9.6188e-04 117/262 [============>.................] - ETA: 0s - loss: 0.0010  155/262 [================>.............] - ETA: 0s - loss: 9.2536e-04 194/262 [=====================>........] - ETA: 0s - loss: 0.0011  230/262 [=========================>....] - ETA: 0s - loss: 0.0010 262/262 [==============================] - 0s 1ms/step - loss: 9.7875e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 4.9497e-05 41/262 [===>..........................] - ETA: 0s - loss: 9.1564e-04 80/262 [========>.....................] - ETA: 0s - loss: 0.0012  120/262 [============>.................] - ETA: 0s - loss: 9.8131e-04 158/262 [=================>............] - ETA: 0s - loss: 8.5829e-04 197/262 [=====================>........] - ETA: 0s - loss: 8.5543e-04 237/262 [==========================>...] - ETA: 0s - loss: 8.9305e-04 262/262 [==============================] - 0s 1ms/step - loss: 8.5166e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 3.1797e-05 39/262 [===>..........................] - ETA: 0s - loss: 7.7932e-04 79/262 [========>.....................] - ETA: 0s - loss: 6.5984e-04 118/262 [============>.................] - ETA: 0s - loss: 7.4026e-04 159/262 [=================>............] - ETA: 0s - loss: 7.6642e-04 198/262 [=====================>........] - ETA: 0s - loss: 8.3216e-04 237/262 [==========================>...] - ETA: 0s - loss: 7.9460e-04 262/262 [==============================] - 0s 1ms/step - loss: 7.4323e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.5975e-05 41/262 [===>..........................] - ETA: 0s - loss: 4.7891e-04 79/262 [========>.....................] - ETA: 0s - loss: 6.4771e-04 118/262 [============>.................] - ETA: 0s - loss: 6.2942e-04 157/262 [================>.............] - ETA: 0s - loss: 6.8553e-04 197/262 [=====================>........] - ETA: 0s - loss: 6.7323e-04 235/262 [=========================>....] - ETA: 0s - loss: 6.7041e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.4868e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.5680e-04 40/262 [===>..........................] - ETA: 0s - loss: 5.2388e-04 79/262 [========>.....................] - ETA: 0s - loss: 6.1143e-04 119/262 [============>.................] - ETA: 0s - loss: 5.4088e-04 156/262 [================>.............] - ETA: 0s - loss: 5.0887e-04 195/262 [=====================>........] - ETA: 0s - loss: 5.7402e-04 232/262 [=========================>....] - ETA: 0s - loss: 5.4988e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.6872e-04 -> test with GAN.predict GAN tn, fp: 653, 1 GAN fn, tp: 0, 10 GAN f1 score: 0.952 GAN cohens kappa score: 0.952 -> test with 'LR' LR tn, fp: 651, 3 LR fn, tp: 0, 10 LR f1 score: 0.870 LR cohens kappa score: 0.867 LR average precision score: 0.734 -> 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: 50s - loss: 0.2623 37/262 [===>..........................] - ETA: 0s - loss: 0.1668  69/262 [======>.......................] - ETA: 0s - loss: 0.2424 104/262 [==========>...................] - ETA: 0s - loss: 0.1677 135/262 [==============>...............] - ETA: 0s - loss: 0.1294 172/262 [==================>...........] - ETA: 0s - loss: 0.1017 206/262 [======================>.......] - ETA: 0s - loss: 0.0849 242/262 [==========================>...] - ETA: 0s - loss: 0.0724 262/262 [==============================] - 1s 1ms/step - loss: 0.0671 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 4.0401e-04 37/262 [===>..........................] - ETA: 0s - loss: 2.6116e-04 73/262 [=======>......................] - ETA: 0s - loss: 2.4749e-04 109/262 [===========>..................] - ETA: 0s - loss: 2.3420e-04 144/262 [===============>..............] - ETA: 0s - loss: 2.3741e-04 176/262 [===================>..........] - ETA: 0s - loss: 2.2778e-04 209/262 [======================>.......] - ETA: 0s - loss: 2.2398e-04 246/262 [===========================>..] - ETA: 0s - loss: 2.1139e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.0901e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 3.4578e-05 37/262 [===>..........................] - ETA: 0s - loss: 1.6186e-04 74/262 [=======>......................] - ETA: 0s - loss: 1.4855e-04 111/262 [===========>..................] - ETA: 0s - loss: 1.3970e-04 147/262 [===============>..............] - ETA: 0s - loss: 1.4543e-04 181/262 [===================>..........] - ETA: 0s - loss: 1.4150e-04 216/262 [=======================>......] - ETA: 0s - loss: 1.3548e-04 250/262 [===========================>..] - ETA: 0s - loss: 1.3384e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.3091e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 7.4119e-05 34/262 [==>...........................] - ETA: 0s - loss: 8.5497e-05 69/262 [======>.......................] - ETA: 0s - loss: 8.1989e-05 105/262 [===========>..................] - ETA: 0s - loss: 8.7602e-05 141/262 [===============>..............] - ETA: 0s - loss: 9.0965e-05 177/262 [===================>..........] - ETA: 0s - loss: 8.7830e-05 214/262 [=======================>......] - ETA: 0s - loss: 8.7718e-05 250/262 [===========================>..] - ETA: 0s - loss: 8.8114e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.6406e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.2141e-04 36/262 [===>..........................] - ETA: 0s - loss: 9.2237e-05 72/262 [=======>......................] - ETA: 0s - loss: 7.2971e-05 101/262 [==========>...................] - ETA: 0s - loss: 7.2742e-05 133/262 [==============>...............] - ETA: 0s - loss: 6.7224e-05 169/262 [==================>...........] - ETA: 0s - loss: 6.4133e-05 205/262 [======================>.......] - ETA: 0s - loss: 6.0673e-05 239/262 [==========================>...] - ETA: 0s - loss: 6.1717e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.1054e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.6169e-05 36/262 [===>..........................] - ETA: 0s - loss: 4.2966e-05 71/262 [=======>......................] - ETA: 0s - loss: 5.0667e-05 105/262 [===========>..................] - ETA: 0s - loss: 4.7446e-05 139/262 [==============>...............] - ETA: 0s - loss: 4.8203e-05 174/262 [==================>...........] - ETA: 0s - loss: 4.8413e-05 210/262 [=======================>......] - ETA: 0s - loss: 4.6033e-05 245/262 [===========================>..] - ETA: 0s - loss: 4.5793e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.5534e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 9.5053e-05 36/262 [===>..........................] - ETA: 0s - loss: 4.2252e-05 69/262 [======>.......................] - ETA: 0s - loss: 4.2578e-05 105/262 [===========>..................] - ETA: 0s - loss: 3.7986e-05 139/262 [==============>...............] - ETA: 0s - loss: 3.8173e-05 174/262 [==================>...........] - ETA: 0s - loss: 3.6043e-05 210/262 [=======================>......] - ETA: 0s - loss: 3.5349e-05 246/262 [===========================>..] - ETA: 0s - loss: 3.4598e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.4246e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 2.4182e-05 33/262 [==>...........................] - ETA: 0s - loss: 2.9865e-05 68/262 [======>.......................] - ETA: 0s - loss: 2.7499e-05 104/262 [==========>...................] - ETA: 0s - loss: 2.7347e-05 140/262 [===============>..............] - ETA: 0s - loss: 2.6886e-05 176/262 [===================>..........] - ETA: 0s - loss: 2.6266e-05 211/262 [=======================>......] - ETA: 0s - loss: 2.7111e-05 247/262 [===========================>..] - ETA: 0s - loss: 2.7506e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.7158e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.9190e-06 37/262 [===>..........................] - ETA: 0s - loss: 1.9814e-05 71/262 [=======>......................] - ETA: 0s - loss: 2.3289e-05 108/262 [===========>..................] - ETA: 0s - loss: 2.2424e-05 144/262 [===============>..............] - ETA: 0s - loss: 2.1902e-05 179/262 [===================>..........] - ETA: 0s - loss: 2.2003e-05 215/262 [=======================>......] - ETA: 0s - loss: 2.1658e-05 252/262 [===========================>..] - ETA: 0s - loss: 2.1449e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.1736e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 7.2228e-06 37/262 [===>..........................] - ETA: 0s - loss: 1.3848e-05 70/262 [=======>......................] - ETA: 0s - loss: 1.5512e-05 107/262 [===========>..................] - ETA: 0s - loss: 1.8437e-05 144/262 [===============>..............] - ETA: 0s - loss: 1.8428e-05 181/262 [===================>..........] - ETA: 0s - loss: 1.8775e-05 215/262 [=======================>......] - ETA: 0s - loss: 1.7847e-05 251/262 [===========================>..] - ETA: 0s - loss: 1.8307e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.8272e-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: 653, 1 LR fn, tp: 0, 10 LR f1 score: 0.952 LR cohens kappa score: 0.952 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: 43s - loss: 8.1885e-05 39/262 [===>..........................] - ETA: 0s - loss: 9.9674  80/262 [========>.....................] - ETA: 0s - loss: 4.8824 119/262 [============>.................] - ETA: 0s - loss: 3.3354 158/262 [=================>............] - ETA: 0s - loss: 2.5127 198/262 [=====================>........] - ETA: 0s - loss: 2.0054 238/262 [==========================>...] - ETA: 0s - loss: 1.6686 262/262 [==============================] - 1s 1ms/step - loss: 1.5241 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0053 39/262 [===>..........................] - ETA: 0s - loss: 0.0022 75/262 [=======>......................] - ETA: 0s - loss: 0.0019 109/262 [===========>..................] - ETA: 0s - loss: 0.0018 140/262 [===============>..............] - ETA: 0s - loss: 0.0018 173/262 [==================>...........] - ETA: 0s - loss: 0.0017 211/262 [=======================>......] - ETA: 0s - loss: 0.0016 252/262 [===========================>..] - ETA: 0s - loss: 0.0015 262/262 [==============================] - 0s 1ms/step - loss: 0.0015 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 0.0012 39/262 [===>..........................] - ETA: 0s - loss: 9.3539e-04 79/262 [========>.....................] - ETA: 0s - loss: 9.0936e-04 117/262 [============>.................] - ETA: 0s - loss: 0.0010  153/262 [================>.............] - ETA: 0s - loss: 9.8228e-04 191/262 [====================>.........] - ETA: 0s - loss: 0.0011  229/262 [=========================>....] - ETA: 0s - loss: 0.0010 262/262 [==============================] - 0s 1ms/step - loss: 0.0010 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.8485e-04 40/262 [===>..........................] - ETA: 0s - loss: 7.6710e-04 80/262 [========>.....................] - ETA: 0s - loss: 6.8544e-04 119/262 [============>.................] - ETA: 0s - loss: 7.4244e-04 158/262 [=================>............] - ETA: 0s - loss: 7.8061e-04 196/262 [=====================>........] - ETA: 0s - loss: 7.5908e-04 235/262 [=========================>....] - ETA: 0s - loss: 7.6589e-04 262/262 [==============================] - 0s 1ms/step - loss: 7.5212e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 8.2742e-05 40/262 [===>..........................] - ETA: 0s - loss: 6.4894e-04 79/262 [========>.....................] - ETA: 0s - loss: 7.2245e-04 118/262 [============>.................] - ETA: 0s - loss: 6.6406e-04 157/262 [================>.............] - ETA: 0s - loss: 6.4992e-04 197/262 [=====================>........] - ETA: 0s - loss: 6.0489e-04 235/262 [=========================>....] - ETA: 0s - loss: 6.1002e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.1397e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 3.5382e-05 42/262 [===>..........................] - ETA: 0s - loss: 5.6450e-04 82/262 [========>.....................] - ETA: 0s - loss: 5.6955e-04 121/262 [============>.................] - ETA: 0s - loss: 5.4099e-04 159/262 [=================>............] - ETA: 0s - loss: 0.0012  197/262 [=====================>........] - ETA: 0s - loss: 0.0014 235/262 [=========================>....] - ETA: 0s - loss: 0.0013 262/262 [==============================] - 0s 1ms/step - loss: 0.0012 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 5.4294e-04 41/262 [===>..........................] - ETA: 0s - loss: 4.1048e-04 81/262 [========>.....................] - ETA: 0s - loss: 4.9256e-04 120/262 [============>.................] - ETA: 0s - loss: 5.3415e-04 161/262 [=================>............] - ETA: 0s - loss: 5.1747e-04 201/262 [======================>.......] - ETA: 0s - loss: 5.0649e-04 238/262 [==========================>...] - ETA: 0s - loss: 5.0261e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.8694e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.1084e-04 39/262 [===>..........................] - ETA: 0s - loss: 4.3993e-04 78/262 [=======>......................] - ETA: 0s - loss: 3.7938e-04 115/262 [============>.................] - ETA: 0s - loss: 3.9382e-04 148/262 [===============>..............] - ETA: 0s - loss: 4.1804e-04 182/262 [===================>..........] - ETA: 0s - loss: 4.2502e-04 214/262 [=======================>......] - ETA: 0s - loss: 4.1278e-04 251/262 [===========================>..] - ETA: 0s - loss: 4.1109e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.0666e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.1518e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.9115e-04 73/262 [=======>......................] - ETA: 0s - loss: 3.0280e-04 114/262 [============>.................] - ETA: 0s - loss: 3.2130e-04 152/262 [================>.............] - ETA: 0s - loss: 3.1123e-04 192/262 [====================>.........] - ETA: 0s - loss: 3.6020e-04 232/262 [=========================>....] - ETA: 0s - loss: 3.5298e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.4283e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.7134e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.2817e-04 78/262 [=======>......................] - ETA: 0s - loss: 2.9718e-04 118/262 [============>.................] - ETA: 0s - loss: 2.8013e-04 156/262 [================>.............] - ETA: 0s - loss: 3.0291e-04 195/262 [=====================>........] - ETA: 0s - loss: 3.0544e-04 232/262 [=========================>....] - ETA: 0s - loss: 2.9980e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.9194e-04 -> test with GAN.predict GAN tn, fp: 654, 0 GAN fn, tp: 1, 9 GAN f1 score: 0.947 GAN cohens kappa score: 0.947 -> 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: 42s - loss: 2.3177e-06 41/262 [===>..........................] - ETA: 0s - loss: 3.3288  80/262 [========>.....................] - ETA: 0s - loss: 5.2386 120/262 [============>.................] - ETA: 0s - loss: 3.4927 159/262 [=================>............] - ETA: 0s - loss: 2.6362 198/262 [=====================>........] - ETA: 0s - loss: 2.1343 233/262 [=========================>....] - ETA: 0s - loss: 1.8139 262/262 [==============================] - 1s 1ms/step - loss: 1.6157 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 4.5271e-04 38/262 [===>..........................] - ETA: 0s - loss: 6.1787e-04 76/262 [=======>......................] - ETA: 0s - loss: 5.8504e-04 115/262 [============>.................] - ETA: 0s - loss: 5.3426e-04 155/262 [================>.............] - ETA: 0s - loss: 0.0414  194/262 [=====================>........] - ETA: 0s - loss: 0.0332 232/262 [=========================>....] - ETA: 0s - loss: 0.0279 262/262 [==============================] - 0s 1ms/step - loss: 0.0248 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 8.2183e-04 40/262 [===>..........................] - ETA: 0s - loss: 5.1236e-04 81/262 [========>.....................] - ETA: 0s - loss: 5.2519e-04 120/262 [============>.................] - ETA: 0s - loss: 5.3731e-04 159/262 [=================>............] - ETA: 0s - loss: 5.4083e-04 196/262 [=====================>........] - ETA: 0s - loss: 5.2077e-04 232/262 [=========================>....] - ETA: 0s - loss: 5.3307e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.1192e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 3.4819e-04 38/262 [===>..........................] - ETA: 0s - loss: 5.3763e-04 73/262 [=======>......................] - ETA: 0s - loss: 4.6102e-04 112/262 [===========>..................] - ETA: 0s - loss: 4.0704e-04 150/262 [================>.............] - ETA: 0s - loss: 3.9335e-04 189/262 [====================>.........] - ETA: 0s - loss: 4.0831e-04 228/262 [=========================>....] - ETA: 0s - loss: 3.9968e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.0209e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.8789e-04 38/262 [===>..........................] - ETA: 0s - loss: 2.8364e-04 78/262 [=======>......................] - ETA: 0s - loss: 3.2941e-04 117/262 [============>.................] - ETA: 0s - loss: 3.4685e-04 157/262 [================>.............] - ETA: 0s - loss: 3.5750e-04 195/262 [=====================>........] - ETA: 0s - loss: 3.5550e-04 233/262 [=========================>....] - ETA: 0s - loss: 3.4320e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.3393e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.4691e-06 40/262 [===>..........................] - ETA: 0s - loss: 2.7436e-04 76/262 [=======>......................] - ETA: 0s - loss: 2.9133e-04 116/262 [============>.................] - ETA: 0s - loss: 2.7868e-04 155/262 [================>.............] - ETA: 0s - loss: 2.9521e-04 195/262 [=====================>........] - ETA: 0s - loss: 2.8659e-04 234/262 [=========================>....] - ETA: 0s - loss: 2.7968e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.7961e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 6.2486e-07 41/262 [===>..........................] - ETA: 0s - loss: 2.4663e-04 79/262 [========>.....................] - ETA: 0s - loss: 2.5029e-04 117/262 [============>.................] - ETA: 0s - loss: 2.7038e-04 152/262 [================>.............] - ETA: 0s - loss: 2.6618e-04 184/262 [====================>.........] - ETA: 0s - loss: 2.5078e-04 225/262 [========================>.....] - ETA: 0s - loss: 2.3876e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.3497e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 7.5843e-06 40/262 [===>..........................] - ETA: 0s - loss: 2.1534e-04 79/262 [========>.....................] - ETA: 0s - loss: 2.2329e-04 119/262 [============>.................] - ETA: 0s - loss: 2.1133e-04 156/262 [================>.............] - ETA: 0s - loss: 2.0204e-04 194/262 [=====================>........] - ETA: 0s - loss: 2.0962e-04 232/262 [=========================>....] - ETA: 0s - loss: 2.0714e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.9857e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.9062e-04 41/262 [===>..........................] - ETA: 0s - loss: 1.6704e-04 83/262 [========>.....................] - ETA: 0s - loss: 1.6095e-04 123/262 [=============>................] - ETA: 0s - loss: 1.5516e-04 163/262 [=================>............] - ETA: 0s - loss: 1.6650e-04 202/262 [======================>.......] - ETA: 0s - loss: 1.7557e-04 241/262 [==========================>...] - ETA: 0s - loss: 1.7114e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6901e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.5072e-05 34/262 [==>...........................] - ETA: 0s - loss: 1.5096e-04 68/262 [======>.......................] - ETA: 0s - loss: 1.4558e-04 101/262 [==========>...................] - ETA: 0s - loss: 1.3661e-04 133/262 [==============>...............] - ETA: 0s - loss: 1.4606e-04 172/262 [==================>...........] - ETA: 0s - loss: 1.4469e-04 211/262 [=======================>......] - ETA: 0s - loss: 1.4357e-04 248/262 [===========================>..] - ETA: 0s - loss: 1.4581e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.4439e-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: 650, 1 GB fn, tp: 0, 9 GB f1 score: 0.947 GB cohens kappa score: 0.947 -> 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: 51s - loss: 1.9943e-05 37/262 [===>..........................] - ETA: 0s - loss: 0.5539  76/262 [=======>......................] - ETA: 0s - loss: 0.2901 109/262 [===========>..................] - ETA: 0s - loss: 0.2023 143/262 [===============>..............] - ETA: 0s - loss: 0.1543 176/262 [===================>..........] - ETA: 0s - loss: 0.1254 208/262 [======================>.......] - ETA: 0s - loss: 0.1061 247/262 [===========================>..] - ETA: 0s - loss: 0.0894 262/262 [==============================] - 1s 1ms/step - loss: 0.0845 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 3.7989e-05 38/262 [===>..........................] - ETA: 0s - loss: 1.3031e-04 77/262 [=======>......................] - ETA: 0s - loss: 1.3314e-04 115/262 [============>.................] - ETA: 0s - loss: 1.2448e-04 154/262 [================>.............] - ETA: 0s - loss: 1.1982e-04 193/262 [=====================>........] - ETA: 0s - loss: 1.1719e-04 233/262 [=========================>....] - ETA: 0s - loss: 1.0966e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0462e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 3.4073e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.0236e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.0417e-04 119/262 [============>.................] - ETA: 0s - loss: 9.2930e-05 159/262 [=================>............] - ETA: 0s - loss: 9.4431e-05 199/262 [=====================>........] - ETA: 0s - loss: 9.1728e-05 235/262 [=========================>....] - ETA: 0s - loss: 9.3829e-05 262/262 [==============================] - 0s 1ms/step - loss: 9.0637e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 6.4315e-05 35/262 [===>..........................] - ETA: 0s - loss: 1.1401e-04 75/262 [=======>......................] - ETA: 0s - loss: 9.8534e-05 115/262 [============>.................] - ETA: 0s - loss: 9.6461e-05 155/262 [================>.............] - ETA: 0s - loss: 8.9761e-05 194/262 [=====================>........] - ETA: 0s - loss: 8.7303e-05 233/262 [=========================>....] - ETA: 0s - loss: 8.0429e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.9824e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.9116e-05 41/262 [===>..........................] - ETA: 0s - loss: 5.3498e-05 80/262 [========>.....................] - ETA: 0s - loss: 5.8638e-05 119/262 [============>.................] - ETA: 0s - loss: 6.3410e-05 156/262 [================>.............] - ETA: 0s - loss: 6.7064e-05 187/262 [====================>.........] - ETA: 0s - loss: 6.7631e-05 225/262 [========================>.....] - ETA: 0s - loss: 6.9780e-05 258/262 [============================>.] - ETA: 0s - loss: 7.0260e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.0283e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.3360e-05 41/262 [===>..........................] - ETA: 0s - loss: 7.4119e-05 81/262 [========>.....................] - ETA: 0s - loss: 6.2840e-05 121/262 [============>.................] - ETA: 0s - loss: 6.3465e-05 161/262 [=================>............] - ETA: 0s - loss: 6.6753e-05 191/262 [====================>.........] - ETA: 0s - loss: 6.3943e-05 226/262 [========================>.....] - ETA: 0s - loss: 6.3814e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.2825e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 2.5372e-05 33/262 [==>...........................] - ETA: 0s - loss: 3.5226e-05 63/262 [======>.......................] - ETA: 0s - loss: 4.9154e-05 94/262 [=========>....................] - ETA: 0s - loss: 4.8823e-05 122/262 [============>.................] - ETA: 0s - loss: 6.0335e-05 153/262 [================>.............] - ETA: 0s - loss: 5.9481e-05 186/262 [====================>.........] - ETA: 0s - loss: 5.7495e-05 225/262 [========================>.....] - ETA: 0s - loss: 5.8537e-05 262/262 [==============================] - 0s 2ms/step - loss: 5.5678e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.8723e-05 37/262 [===>..........................] - ETA: 0s - loss: 4.5366e-05 75/262 [=======>......................] - ETA: 0s - loss: 4.2707e-05 111/262 [===========>..................] - ETA: 0s - loss: 4.1744e-05 151/262 [================>.............] - ETA: 0s - loss: 4.4199e-05 177/262 [===================>..........] - ETA: 0s - loss: 4.5325e-05 208/262 [======================>.......] - ETA: 0s - loss: 4.4490e-05 246/262 [===========================>..] - ETA: 0s - loss: 4.8595e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.7306e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 8.7363e-06 39/262 [===>..........................] - ETA: 0s - loss: 4.1553e-05 75/262 [=======>......................] - ETA: 0s - loss: 5.2579e-05 115/262 [============>.................] - ETA: 0s - loss: 5.2883e-05 155/262 [================>.............] - ETA: 0s - loss: 4.7710e-05 194/262 [=====================>........] - ETA: 0s - loss: 4.4230e-05 226/262 [========================>.....] - ETA: 0s - loss: 4.2275e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.0430e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 5.3215e-06 41/262 [===>..........................] - ETA: 0s - loss: 2.7161e-05 79/262 [========>.....................] - ETA: 0s - loss: 2.8966e-05 119/262 [============>.................] - ETA: 0s - loss: 3.1821e-05 159/262 [=================>............] - ETA: 0s - loss: 3.2707e-05 197/262 [=====================>........] - ETA: 0s - loss: 3.2713e-05 225/262 [========================>.....] - ETA: 0s - loss: 3.3248e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.3858e-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: 46s - loss: 1.6410e-04 36/262 [===>..........................] - ETA: 0s - loss: 0.5967  69/262 [======>.......................] - ETA: 0s - loss: 0.3890 105/262 [===========>..................] - ETA: 0s - loss: 0.2561 141/262 [===============>..............] - ETA: 0s - loss: 0.1909 180/262 [===================>..........] - ETA: 0s - loss: 0.1497 215/262 [=======================>......] - ETA: 0s - loss: 0.1255 250/262 [===========================>..] - ETA: 0s - loss: 0.1080 262/262 [==============================] - 1s 1ms/step - loss: 0.1033 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.2427e-04 35/262 [===>..........................] - ETA: 0s - loss: 2.7016e-04 65/262 [======>.......................] - ETA: 0s - loss: 2.6626e-04 95/262 [=========>....................] - ETA: 0s - loss: 2.5109e-04 125/262 [=============>................] - ETA: 0s - loss: 2.7687e-04 161/262 [=================>............] - ETA: 0s - loss: 2.5262e-04 195/262 [=====================>........] - ETA: 0s - loss: 2.3282e-04 227/262 [========================>.....] - ETA: 0s - loss: 2.1821e-04 262/262 [==============================] - ETA: 0s - loss: 2.0573e-04 262/262 [==============================] - 0s 2ms/step - loss: 2.0573e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 1.4558e-04 37/262 [===>..........................] - ETA: 0s - loss: 9.8239e-05 72/262 [=======>......................] - ETA: 0s - loss: 1.4920e-04 104/262 [==========>...................] - ETA: 0s - loss: 1.3790e-04 139/262 [==============>...............] - ETA: 0s - loss: 1.2609e-04 178/262 [===================>..........] - ETA: 0s - loss: 1.1852e-04 212/262 [=======================>......] - ETA: 0s - loss: 1.1138e-04 247/262 [===========================>..] - ETA: 0s - loss: 1.0537e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.0337e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 5.9437e-05 35/262 [===>..........................] - ETA: 0s - loss: 7.0573e-05 67/262 [======>.......................] - ETA: 0s - loss: 1.0103e-04 100/262 [==========>...................] - ETA: 0s - loss: 9.2768e-05 134/262 [==============>...............] - ETA: 0s - loss: 8.5207e-05 167/262 [==================>...........] - ETA: 0s - loss: 8.0092e-05 200/262 [=====================>........] - ETA: 0s - loss: 7.5450e-05 234/262 [=========================>....] - ETA: 0s - loss: 7.1379e-05 262/262 [==============================] - 0s 2ms/step - loss: 6.8122e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.6243e-05 35/262 [===>..........................] - ETA: 0s - loss: 5.3978e-05 70/262 [=======>......................] - ETA: 0s - loss: 5.1070e-05 102/262 [==========>...................] - ETA: 0s - loss: 4.7961e-05 139/262 [==============>...............] - ETA: 0s - loss: 4.4340e-05 173/262 [==================>...........] - ETA: 0s - loss: 5.7791e-05 206/262 [======================>.......] - ETA: 0s - loss: 5.4480e-05 241/262 [==========================>...] - ETA: 0s - loss: 5.1769e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.0396e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.0903e-05 36/262 [===>..........................] - ETA: 0s - loss: 3.9094e-05 71/262 [=======>......................] - ETA: 0s - loss: 3.5751e-05 103/262 [==========>...................] - ETA: 0s - loss: 3.5804e-05 136/262 [==============>...............] - ETA: 0s - loss: 3.5550e-05 170/262 [==================>...........] - ETA: 0s - loss: 3.3622e-05 206/262 [======================>.......] - ETA: 0s - loss: 4.0534e-05 241/262 [==========================>...] - ETA: 0s - loss: 3.8745e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.8014e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.8152e-05 40/262 [===>..........................] - ETA: 0s - loss: 5.0224e-05 73/262 [=======>......................] - ETA: 0s - loss: 4.0597e-05 108/262 [===========>..................] - ETA: 0s - loss: 3.5295e-05 141/262 [===============>..............] - ETA: 0s - loss: 3.3343e-05 174/262 [==================>...........] - ETA: 0s - loss: 3.1149e-05 208/262 [======================>.......] - ETA: 0s - loss: 2.9717e-05 237/262 [==========================>...] - ETA: 0s - loss: 2.8804e-05 262/262 [==============================] - 0s 2ms/step - loss: 2.9211e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.2158e-05 36/262 [===>..........................] - ETA: 0s - loss: 4.6602e-05 70/262 [=======>......................] - ETA: 0s - loss: 3.5743e-05 103/262 [==========>...................] - ETA: 0s - loss: 3.1328e-05 138/262 [==============>...............] - ETA: 0s - loss: 2.8594e-05 175/262 [===================>..........] - ETA: 0s - loss: 2.6289e-05 210/262 [=======================>......] - ETA: 0s - loss: 2.5409e-05 242/262 [==========================>...] - ETA: 0s - loss: 2.4799e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.4176e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.7332e-05 34/262 [==>...........................] - ETA: 0s - loss: 1.6516e-05 66/262 [======>.......................] - ETA: 0s - loss: 1.7762e-05 101/262 [==========>...................] - ETA: 0s - loss: 1.8512e-05 132/262 [==============>...............] - ETA: 0s - loss: 2.4047e-05 166/262 [==================>...........] - ETA: 0s - loss: 2.2532e-05 200/262 [=====================>........] - ETA: 0s - loss: 2.1291e-05 235/262 [=========================>....] - ETA: 0s - loss: 2.0582e-05 262/262 [==============================] - 0s 2ms/step - loss: 1.9877e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.0219e-05 31/262 [==>...........................] - ETA: 0s - loss: 1.3761e-05 67/262 [======>.......................] - ETA: 0s - loss: 1.4420e-05 104/262 [==========>...................] - ETA: 0s - loss: 1.4430e-05 141/262 [===============>..............] - ETA: 0s - loss: 1.4282e-05 176/262 [===================>..........] - ETA: 0s - loss: 1.4285e-05 209/262 [======================>.......] - ETA: 0s - loss: 1.4133e-05 243/262 [==========================>...] - ETA: 0s - loss: 1.6767e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.6329e-05 -> test with GAN.predict GAN tn, fp: 653, 1 GAN fn, tp: 0, 10 GAN f1 score: 0.952 GAN cohens kappa score: 0.952 -> 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 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: 54s - loss: 0.0048 40/262 [===>..........................] - ETA: 0s - loss: 22.9517 80/262 [========>.....................] - ETA: 0s - loss: 11.5547 118/262 [============>.................] - ETA: 0s - loss: 7.8359  158/262 [=================>............] - ETA: 0s - loss: 5.8532 199/262 [=====================>........] - ETA: 0s - loss: 4.6479 238/262 [==========================>...] - ETA: 0s - loss: 3.8867 262/262 [==============================] - 1s 1ms/step - loss: 3.5404 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0014 41/262 [===>..........................] - ETA: 0s - loss: 0.0021 81/262 [========>.....................] - ETA: 0s - loss: 0.0020 120/262 [============>.................] - ETA: 0s - loss: 0.0020 160/262 [=================>............] - ETA: 0s - loss: 0.0018 200/262 [=====================>........] - ETA: 0s - loss: 0.0018 239/262 [==========================>...] - ETA: 0s - loss: 0.0017 262/262 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 6.7207e-04 35/262 [===>..........................] - ETA: 0s - loss: 0.0012  68/262 [======>.......................] - ETA: 0s - loss: 0.0011 107/262 [===========>..................] - ETA: 0s - loss: 0.0011 147/262 [===============>..............] - ETA: 0s - loss: 0.0011 186/262 [====================>.........] - ETA: 0s - loss: 0.0011 226/262 [========================>.....] - ETA: 0s - loss: 0.0011 262/262 [==============================] - 0s 1ms/step - loss: 0.0010 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.1376e-04 39/262 [===>..........................] - ETA: 0s - loss: 0.0011  73/262 [=======>......................] - ETA: 0s - loss: 9.2915e-04 112/262 [===========>..................] - ETA: 0s - loss: 8.9455e-04 152/262 [================>.............] - ETA: 0s - loss: 8.8097e-04 191/262 [====================>.........] - ETA: 0s - loss: 8.5451e-04 229/262 [=========================>....] - ETA: 0s - loss: 8.1412e-04 262/262 [==============================] - 0s 1ms/step - loss: 7.9506e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.0273e-04 41/262 [===>..........................] - ETA: 0s - loss: 6.9319e-04 81/262 [========>.....................] - ETA: 0s - loss: 6.8306e-04 121/262 [============>.................] - ETA: 0s - loss: 6.9583e-04 161/262 [=================>............] - ETA: 0s - loss: 6.7172e-04 193/262 [=====================>........] - ETA: 0s - loss: 6.7275e-04 231/262 [=========================>....] - ETA: 0s - loss: 6.5214e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.4771e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 0.0017 42/262 [===>..........................] - ETA: 0s - loss: 6.7896e-04 82/262 [========>.....................] - ETA: 0s - loss: 6.0295e-04 123/262 [=============>................] - ETA: 0s - loss: 5.2850e-04 163/262 [=================>............] - ETA: 0s - loss: 5.2010e-04 201/262 [======================>.......] - ETA: 0s - loss: 5.3179e-04 241/262 [==========================>...] - ETA: 0s - loss: 5.2154e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.1925e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 6.4238e-04 41/262 [===>..........................] - ETA: 0s - loss: 4.2817e-04 80/262 [========>.....................] - ETA: 0s - loss: 3.8817e-04 120/262 [============>.................] - ETA: 0s - loss: 3.7711e-04 161/262 [=================>............] - ETA: 0s - loss: 3.9281e-04 201/262 [======================>.......] - ETA: 0s - loss: 3.9683e-04 242/262 [==========================>...] - ETA: 0s - loss: 4.0550e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.0817e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 5.1831e-05 40/262 [===>..........................] - ETA: 0s - loss: 3.9604e-04 76/262 [=======>......................] - ETA: 0s - loss: 3.3778e-04 116/262 [============>.................] - ETA: 0s - loss: 3.3721e-04 156/262 [================>.............] - ETA: 0s - loss: 3.5263e-04 196/262 [=====================>........] - ETA: 0s - loss: 3.3874e-04 237/262 [==========================>...] - ETA: 0s - loss: 3.2606e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.2618e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 4.0274e-05 41/262 [===>..........................] - ETA: 0s - loss: 2.5548e-04 73/262 [=======>......................] - ETA: 0s - loss: 2.6480e-04 105/262 [===========>..................] - ETA: 0s - loss: 2.6811e-04 138/262 [==============>...............] - ETA: 0s - loss: 2.6605e-04 175/262 [===================>..........] - ETA: 0s - loss: 2.7235e-04 214/262 [=======================>......] - ETA: 0s - loss: 2.7749e-04 254/262 [============================>.] - ETA: 0s - loss: 2.7651e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.7547e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 4.3883e-04 41/262 [===>..........................] - ETA: 0s - loss: 2.5915e-04 78/262 [=======>......................] - ETA: 0s - loss: 2.4868e-04 115/262 [============>.................] - ETA: 0s - loss: 2.5244e-04 156/262 [================>.............] - ETA: 0s - loss: 2.4682e-04 196/262 [=====================>........] - ETA: 0s - loss: 2.4757e-04 236/262 [==========================>...] - ETA: 0s - loss: 2.3985e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.3616e-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: 46s - loss: 7.2492e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.5284  80/262 [========>.....................] - ETA: 0s - loss: 0.7650 120/262 [============>.................] - ETA: 0s - loss: 0.5102 158/262 [=================>............] - ETA: 0s - loss: 0.3876 198/262 [=====================>........] - ETA: 0s - loss: 0.3093 237/262 [==========================>...] - ETA: 0s - loss: 0.2584 262/262 [==============================] - 1s 1ms/step - loss: 0.2344 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 4.8789e-05 39/262 [===>..........................] - ETA: 0s - loss: 1.4505e-04 76/262 [=======>......................] - ETA: 0s - loss: 1.1780e-04 115/262 [============>.................] - ETA: 0s - loss: 1.0553e-04 151/262 [================>.............] - ETA: 0s - loss: 1.3352e-04 190/262 [====================>.........] - ETA: 0s - loss: 1.2597e-04 225/262 [========================>.....] - ETA: 0s - loss: 1.1743e-04 260/262 [============================>.] - ETA: 0s - loss: 1.1110e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.1088e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 4.6504e-05 39/262 [===>..........................] - ETA: 0s - loss: 6.4986e-05 78/262 [=======>......................] - ETA: 0s - loss: 5.7432e-05 117/262 [============>.................] - ETA: 0s - loss: 5.1634e-05 157/262 [================>.............] - ETA: 0s - loss: 4.7890e-05 197/262 [=====================>........] - ETA: 0s - loss: 4.8853e-05 235/262 [=========================>....] - ETA: 0s - loss: 4.6834e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.5592e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 2.7517e-05 40/262 [===>..........................] - ETA: 0s - loss: 2.8990e-05 79/262 [========>.....................] - ETA: 0s - loss: 3.5273e-05 119/262 [============>.................] - ETA: 0s - loss: 3.3079e-05 157/262 [================>.............] - ETA: 0s - loss: 3.1370e-05 197/262 [=====================>........] - ETA: 0s - loss: 2.9653e-05 236/262 [==========================>...] - ETA: 0s - loss: 3.0011e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.9158e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.3363e-05 40/262 [===>..........................] - ETA: 0s - loss: 3.1356e-05 79/262 [========>.....................] - ETA: 0s - loss: 2.5202e-05 116/262 [============>.................] - ETA: 0s - loss: 2.6128e-05 154/262 [================>.............] - ETA: 0s - loss: 2.3871e-05 193/262 [=====================>........] - ETA: 0s - loss: 2.2634e-05 232/262 [=========================>....] - ETA: 0s - loss: 2.1389e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.0632e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 4.9509e-06 35/262 [===>..........................] - ETA: 0s - loss: 1.1365e-05 69/262 [======>.......................] - ETA: 0s - loss: 2.0052e-05 102/262 [==========>...................] - ETA: 0s - loss: 1.8046e-05 140/262 [===============>..............] - ETA: 0s - loss: 1.6941e-05 175/262 [===================>..........] - ETA: 0s - loss: 1.6021e-05 213/262 [=======================>......] - ETA: 0s - loss: 1.6297e-05 250/262 [===========================>..] - ETA: 0s - loss: 1.5958e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.5713e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 3.8508e-06 39/262 [===>..........................] - ETA: 0s - loss: 9.1276e-06 78/262 [=======>......................] - ETA: 0s - loss: 1.3294e-05 118/262 [============>.................] - ETA: 0s - loss: 1.2077e-05 158/262 [=================>............] - ETA: 0s - loss: 1.1253e-05 197/262 [=====================>........] - ETA: 0s - loss: 1.3061e-05 237/262 [==========================>...] - ETA: 0s - loss: 1.2467e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.2179e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 4.6762e-06 41/262 [===>..........................] - ETA: 0s - loss: 7.5594e-06 79/262 [========>.....................] - ETA: 0s - loss: 7.6905e-06 119/262 [============>.................] - ETA: 0s - loss: 7.5587e-06 154/262 [================>.............] - ETA: 0s - loss: 7.8229e-06 190/262 [====================>.........] - ETA: 0s - loss: 7.6600e-06 227/262 [========================>.....] - ETA: 0s - loss: 7.4216e-06 262/262 [==============================] - 0s 1ms/step - loss: 9.6093e-06 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.7760e-06 40/262 [===>..........................] - ETA: 0s - loss: 7.2964e-06 80/262 [========>.....................] - ETA: 0s - loss: 7.3733e-06 119/262 [============>.................] - ETA: 0s - loss: 8.0804e-06 157/262 [================>.............] - ETA: 0s - loss: 7.5279e-06 196/262 [=====================>........] - ETA: 0s - loss: 7.1809e-06 235/262 [=========================>....] - ETA: 0s - loss: 6.8150e-06 262/262 [==============================] - 0s 1ms/step - loss: 7.6952e-06 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 8.4963e-06 41/262 [===>..........................] - ETA: 0s - loss: 6.1087e-06 80/262 [========>.....................] - ETA: 0s - loss: 5.3239e-06 120/262 [============>.................] - ETA: 0s - loss: 5.1093e-06 156/262 [================>.............] - ETA: 0s - loss: 5.1968e-06 194/262 [=====================>........] - ETA: 0s - loss: 5.1738e-06 232/262 [=========================>....] - ETA: 0s - loss: 5.1380e-06 262/262 [==============================] - 0s 1ms/step - loss: 6.2835e-06 -> 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: 47s - loss: 18.9007 39/262 [===>..........................] - ETA: 0s - loss: 1.6336  79/262 [========>.....................] - ETA: 0s - loss: 0.8101 118/262 [============>.................] - ETA: 0s - loss: 0.5607 156/262 [================>.............] - ETA: 0s - loss: 0.4245 195/262 [=====================>........] - ETA: 0s - loss: 0.3398 233/262 [=========================>....] - ETA: 0s - loss: 0.2845 262/262 [==============================] - 1s 1ms/step - loss: 0.2535 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0014 39/262 [===>..........................] - ETA: 0s - loss: 6.0054e-04 75/262 [=======>......................] - ETA: 0s - loss: 5.7031e-04 105/262 [===========>..................] - ETA: 0s - loss: 5.2984e-04 138/262 [==============>...............] - ETA: 0s - loss: 6.3116e-04 174/262 [==================>...........] - ETA: 0s - loss: 5.8013e-04 211/262 [=======================>......] - ETA: 0s - loss: 5.4402e-04 251/262 [===========================>..] - ETA: 0s - loss: 5.0463e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.9891e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 3.6003e-04 39/262 [===>..........................] - ETA: 0s - loss: 3.8545e-04 68/262 [======>.......................] - ETA: 0s - loss: 3.4599e-04 103/262 [==========>...................] - ETA: 0s - loss: 3.1515e-04 140/262 [===============>..............] - ETA: 0s - loss: 2.9288e-04 176/262 [===================>..........] - ETA: 0s - loss: 2.9654e-04 207/262 [======================>.......] - ETA: 0s - loss: 2.8362e-04 243/262 [==========================>...] - ETA: 0s - loss: 2.7600e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.7381e-04 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 6.3543e-05 38/262 [===>..........................] - ETA: 0s - loss: 2.3333e-04 75/262 [=======>......................] - ETA: 0s - loss: 2.1532e-04 111/262 [===========>..................] - ETA: 0s - loss: 2.0743e-04 145/262 [===============>..............] - ETA: 0s - loss: 1.9199e-04 180/262 [===================>..........] - ETA: 0s - loss: 1.8024e-04 212/262 [=======================>......] - ETA: 0s - loss: 1.7698e-04 247/262 [===========================>..] - ETA: 0s - loss: 1.6939e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.6559e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 3.0837e-04 30/262 [==>...........................] - ETA: 0s - loss: 1.3288e-04 60/262 [=====>........................] - ETA: 0s - loss: 1.3212e-04 97/262 [==========>...................] - ETA: 0s - loss: 1.3864e-04 130/262 [=============>................] - ETA: 0s - loss: 1.2848e-04 164/262 [=================>............] - ETA: 0s - loss: 1.2241e-04 192/262 [====================>.........] - ETA: 0s - loss: 1.1401e-04 229/262 [=========================>....] - ETA: 0s - loss: 1.0844e-04 262/262 [==============================] - 0s 2ms/step - loss: 1.0580e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.6480e-04 37/262 [===>..........................] - ETA: 0s - loss: 9.4287e-05 74/262 [=======>......................] - ETA: 0s - loss: 9.4847e-05 103/262 [==========>...................] - ETA: 0s - loss: 9.4931e-05 138/262 [==============>...............] - ETA: 0s - loss: 8.7929e-05 174/262 [==================>...........] - ETA: 0s - loss: 8.2486e-05 210/262 [=======================>......] - ETA: 0s - loss: 8.1917e-05 243/262 [==========================>...] - ETA: 0s - loss: 8.0229e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.0652e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 9.6515e-05 37/262 [===>..........................] - ETA: 0s - loss: 5.9620e-05 69/262 [======>.......................] - ETA: 0s - loss: 7.9233e-05 108/262 [===========>..................] - ETA: 0s - loss: 6.9346e-05 137/262 [==============>...............] - ETA: 0s - loss: 7.0573e-05 169/262 [==================>...........] - ETA: 0s - loss: 6.9971e-05 206/262 [======================>.......] - ETA: 0s - loss: 6.4160e-05 238/262 [==========================>...] - ETA: 0s - loss: 6.4272e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.4252e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 3.4855e-05 32/262 [==>...........................] - ETA: 0s - loss: 4.3201e-05 69/262 [======>.......................] - ETA: 0s - loss: 5.5019e-05 102/262 [==========>...................] - ETA: 0s - loss: 5.7498e-05 137/262 [==============>...............] - ETA: 0s - loss: 5.5193e-05 173/262 [==================>...........] - ETA: 0s - loss: 5.6901e-05 207/262 [======================>.......] - ETA: 0s - loss: 5.3992e-05 244/262 [==========================>...] - ETA: 0s - loss: 5.0878e-05 262/262 [==============================] - 0s 1ms/step - loss: 5.1162e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.4284e-04 34/262 [==>...........................] - ETA: 0s - loss: 4.1000e-05 70/262 [=======>......................] - ETA: 0s - loss: 4.0527e-05 104/262 [==========>...................] - ETA: 0s - loss: 4.2282e-05 137/262 [==============>...............] - ETA: 0s - loss: 4.3031e-05 171/262 [==================>...........] - ETA: 0s - loss: 4.0748e-05 205/262 [======================>.......] - ETA: 0s - loss: 4.0376e-05 238/262 [==========================>...] - ETA: 0s - loss: 4.1462e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.1146e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.3948e-05 36/262 [===>..........................] - ETA: 0s - loss: 3.8743e-05 72/262 [=======>......................] - ETA: 0s - loss: 3.6768e-05 108/262 [===========>..................] - ETA: 0s - loss: 3.5206e-05 141/262 [===============>..............] - ETA: 0s - loss: 3.3114e-05 173/262 [==================>...........] - ETA: 0s - loss: 3.4170e-05 204/262 [======================>.......] - ETA: 0s - loss: 3.5009e-05 241/262 [==========================>...] - ETA: 0s - loss: 3.3608e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.3738e-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: 52s - loss: 7.7434e-05 40/262 [===>..........................] - ETA: 0s - loss: 0.2307  79/262 [========>.....................] - ETA: 0s - loss: 0.1175 119/262 [============>.................] - ETA: 0s - loss: 0.0783 158/262 [=================>............] - ETA: 0s - loss: 0.0591 197/262 [=====================>........] - ETA: 0s - loss: 0.0475 236/262 [==========================>...] - ETA: 0s - loss: 0.0397 262/262 [==============================] - 1s 1ms/step - loss: 0.0359 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 2.0327e-04 40/262 [===>..........................] - ETA: 0s - loss: 2.3159e-04 80/262 [========>.....................] - ETA: 0s - loss: 2.1887e-04 117/262 [============>.................] - ETA: 0s - loss: 2.0507e-04 156/262 [================>.............] - ETA: 0s - loss: 1.8512e-04 195/262 [=====================>........] - ETA: 0s - loss: 1.7343e-04 235/262 [=========================>....] - ETA: 0s - loss: 1.6143e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.5283e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 2.4645e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.1153e-04 79/262 [========>.....................] - ETA: 0s - loss: 1.1143e-04 119/262 [============>.................] - ETA: 0s - loss: 9.6850e-05 158/262 [=================>............] - ETA: 0s - loss: 8.6283e-05 197/262 [=====================>........] - ETA: 0s - loss: 8.1793e-05 236/262 [==========================>...] - ETA: 0s - loss: 7.6099e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.6027e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 1.3882e-04 40/262 [===>..........................] - ETA: 0s - loss: 6.5768e-05 78/262 [=======>......................] - ETA: 0s - loss: 5.7260e-05 118/262 [============>.................] - ETA: 0s - loss: 5.1638e-05 158/262 [=================>............] - ETA: 0s - loss: 5.2184e-05 186/262 [====================>.........] - ETA: 0s - loss: 5.0048e-05 220/262 [========================>.....] - ETA: 0s - loss: 4.8907e-05 251/262 [===========================>..] - ETA: 0s - loss: 4.7223e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.7775e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.6667e-04 41/262 [===>..........................] - ETA: 0s - loss: 3.8515e-05 79/262 [========>.....................] - ETA: 0s - loss: 3.5974e-05 119/262 [============>.................] - ETA: 0s - loss: 3.5026e-05 156/262 [================>.............] - ETA: 0s - loss: 3.5489e-05 196/262 [=====================>........] - ETA: 0s - loss: 3.4180e-05 236/262 [==========================>...] - ETA: 0s - loss: 3.2875e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.2194e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.2372e-05 40/262 [===>..........................] - ETA: 0s - loss: 2.4963e-05 80/262 [========>.....................] - ETA: 0s - loss: 2.2994e-05 118/262 [============>.................] - ETA: 0s - loss: 2.1255e-05 157/262 [================>.............] - ETA: 0s - loss: 2.1898e-05 197/262 [=====================>........] - ETA: 0s - loss: 2.1973e-05 237/262 [==========================>...] - ETA: 0s - loss: 2.1743e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.1260e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.4019e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.4589e-05 80/262 [========>.....................] - ETA: 0s - loss: 1.7040e-05 119/262 [============>.................] - ETA: 0s - loss: 1.8531e-05 159/262 [=================>............] - ETA: 0s - loss: 1.7282e-05 199/262 [=====================>........] - ETA: 0s - loss: 1.6198e-05 237/262 [==========================>...] - ETA: 0s - loss: 1.5423e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.5081e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.9748e-05 41/262 [===>..........................] - ETA: 0s - loss: 1.0328e-05 81/262 [========>.....................] - ETA: 0s - loss: 1.1072e-05 120/262 [============>.................] - ETA: 0s - loss: 1.0605e-05 159/262 [=================>............] - ETA: 0s - loss: 1.1178e-05 198/262 [=====================>........] - ETA: 0s - loss: 1.0951e-05 237/262 [==========================>...] - ETA: 0s - loss: 1.1159e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.0849e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 9.5982e-06 38/262 [===>..........................] - ETA: 0s - loss: 8.6255e-06 77/262 [=======>......................] - ETA: 0s - loss: 9.2199e-06 116/262 [============>.................] - ETA: 0s - loss: 8.8574e-06 154/262 [================>.............] - ETA: 0s - loss: 8.7967e-06 194/262 [=====================>........] - ETA: 0s - loss: 8.4716e-06 231/262 [=========================>....] - ETA: 0s - loss: 8.2656e-06 262/262 [==============================] - 0s 1ms/step - loss: 7.9712e-06 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.4598e-05 40/262 [===>..........................] - ETA: 0s - loss: 7.3302e-06 79/262 [========>.....................] - ETA: 0s - loss: 6.5011e-06 119/262 [============>.................] - ETA: 0s - loss: 6.2585e-06 155/262 [================>.............] - ETA: 0s - loss: 6.2765e-06 195/262 [=====================>........] - ETA: 0s - loss: 6.1880e-06 229/262 [=========================>....] - ETA: 0s - loss: 6.3667e-06 262/262 [==============================] - 0s 1ms/step - loss: 6.0970e-06 -> 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: 53s - loss: 9.8680e-05 41/262 [===>..........................] - ETA: 0s - loss: 0.5889  81/262 [========>.....................] - ETA: 0s - loss: 0.3033 121/262 [============>.................] - ETA: 0s - loss: 0.2042 154/262 [================>.............] - ETA: 0s - loss: 0.1606 187/262 [====================>.........] - ETA: 0s - loss: 0.1324 221/262 [========================>.....] - ETA: 0s - loss: 0.1121 256/262 [============================>.] - ETA: 0s - loss: 0.0968 262/262 [==============================] - 1s 1ms/step - loss: 0.0949 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 1.4246e-04 39/262 [===>..........................] - ETA: 0s - loss: 3.2710e-04 76/262 [=======>......................] - ETA: 0s - loss: 3.0214e-04 116/262 [============>.................] - ETA: 0s - loss: 2.7168e-04 155/262 [================>.............] - ETA: 0s - loss: 2.6225e-04 195/262 [=====================>........] - ETA: 0s - loss: 2.4434e-04 233/262 [=========================>....] - ETA: 0s - loss: 2.2292e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.1213e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 7.6986e-05 38/262 [===>..........................] - ETA: 0s - loss: 1.1992e-04 77/262 [=======>......................] - ETA: 0s - loss: 1.0634e-04 116/262 [============>.................] - ETA: 0s - loss: 9.3882e-05 156/262 [================>.............] - ETA: 0s - loss: 8.8848e-05 194/262 [=====================>........] - ETA: 0s - loss: 8.6083e-05 232/262 [=========================>....] - ETA: 0s - loss: 7.9694e-05 262/262 [==============================] - 0s 1ms/step - loss: 7.8998e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 4.6024e-05 39/262 [===>..........................] - ETA: 0s - loss: 5.3087e-05 75/262 [=======>......................] - ETA: 0s - loss: 4.7751e-05 114/262 [============>.................] - ETA: 0s - loss: 4.4520e-05 154/262 [================>.............] - ETA: 0s - loss: 4.6130e-05 193/262 [=====================>........] - ETA: 0s - loss: 4.2028e-05 233/262 [=========================>....] - ETA: 0s - loss: 4.0851e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.9329e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 2.4776e-05 37/262 [===>..........................] - ETA: 0s - loss: 2.9538e-05 75/262 [=======>......................] - ETA: 0s - loss: 2.6619e-05 115/262 [============>.................] - ETA: 0s - loss: 2.6683e-05 152/262 [================>.............] - ETA: 0s - loss: 2.4872e-05 190/262 [====================>.........] - ETA: 0s - loss: 2.3139e-05 227/262 [========================>.....] - ETA: 0s - loss: 2.1443e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.0598e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 8.0751e-06 40/262 [===>..........................] - ETA: 0s - loss: 1.5557e-05 80/262 [========>.....................] - ETA: 0s - loss: 1.3412e-05 117/262 [============>.................] - ETA: 0s - loss: 1.4030e-05 154/262 [================>.............] - ETA: 0s - loss: 1.3773e-05 193/262 [=====================>........] - ETA: 0s - loss: 1.3497e-05 232/262 [=========================>....] - ETA: 0s - loss: 1.2624e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.2806e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 4.4202e-06 39/262 [===>..........................] - ETA: 0s - loss: 1.2237e-05 79/262 [========>.....................] - ETA: 0s - loss: 1.0390e-05 118/262 [============>.................] - ETA: 0s - loss: 9.2374e-06 157/262 [================>.............] - ETA: 0s - loss: 7.8786e-06 195/262 [=====================>........] - ETA: 0s - loss: 7.4854e-06 229/262 [=========================>....] - ETA: 0s - loss: 7.2647e-06 252/262 [===========================>..] - ETA: 0s - loss: 7.0528e-06 262/262 [==============================] - 0s 1ms/step - loss: 7.0430e-06 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 6.9202e-05 35/262 [===>..........................] - ETA: 0s - loss: 7.3531e-06 73/262 [=======>......................] - ETA: 0s - loss: 6.4815e-06 113/262 [===========>..................] - ETA: 0s - loss: 6.3644e-06 153/262 [================>.............] - ETA: 0s - loss: 5.7130e-06 191/262 [====================>.........] - ETA: 0s - loss: 5.2755e-06 231/262 [=========================>....] - ETA: 0s - loss: 4.9933e-06 262/262 [==============================] - 0s 1ms/step - loss: 4.8103e-06 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 5.1376e-06 42/262 [===>..........................] - ETA: 0s - loss: 5.5996e-06 81/262 [========>.....................] - ETA: 0s - loss: 4.1592e-06 120/262 [============>.................] - ETA: 0s - loss: 4.2612e-06 160/262 [=================>............] - ETA: 0s - loss: 3.9907e-06 199/262 [=====================>........] - ETA: 0s - loss: 3.6180e-06 239/262 [==========================>...] - ETA: 0s - loss: 3.4635e-06 262/262 [==============================] - 0s 1ms/step - loss: 3.6281e-06 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.2328e-06 40/262 [===>..........................] - ETA: 0s - loss: 2.4218e-06 78/262 [=======>......................] - ETA: 0s - loss: 2.5215e-06 118/262 [============>.................] - ETA: 0s - loss: 2.4236e-06 158/262 [=================>............] - ETA: 0s - loss: 2.6566e-06 197/262 [=====================>........] - ETA: 0s - loss: 2.6134e-06 236/262 [==========================>...] - ETA: 0s - loss: 2.8064e-06 262/262 [==============================] - 0s 1ms/step - loss: 2.8337e-06 -> 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: 48s - loss: 3.5235e-06 41/262 [===>..........................] - ETA: 0s - loss: 0.4064  81/262 [========>.....................] - ETA: 0s - loss: 0.3341 120/262 [============>.................] - ETA: 0s - loss: 0.2258 157/262 [================>.............] - ETA: 0s - loss: 0.1726 191/262 [====================>.........] - ETA: 0s - loss: 0.1420 226/262 [========================>.....] - ETA: 0s - loss: 0.1201 262/262 [==============================] - 1s 1ms/step - loss: 0.1039 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 5.3418e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.7965e-04 78/262 [=======>......................] - ETA: 0s - loss: 1.7936e-04 116/262 [============>.................] - ETA: 0s - loss: 1.8636e-04 155/262 [================>.............] - ETA: 0s - loss: 1.7565e-04 190/262 [====================>.........] - ETA: 0s - loss: 1.6254e-04 230/262 [=========================>....] - ETA: 0s - loss: 1.5260e-04 262/262 [==============================] - 0s 1ms/step - loss: 1.4510e-04 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 9.3538e-05 39/262 [===>..........................] - ETA: 0s - loss: 1.0032e-04 79/262 [========>.....................] - ETA: 0s - loss: 9.4766e-05 117/262 [============>.................] - ETA: 0s - loss: 9.1419e-05 152/262 [================>.............] - ETA: 0s - loss: 8.5716e-05 188/262 [====================>.........] - ETA: 0s - loss: 9.2537e-05 227/262 [========================>.....] - ETA: 0s - loss: 9.0226e-05 262/262 [==============================] - 0s 1ms/step - loss: 8.6791e-05 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 6.3778e-05 40/262 [===>..........................] - ETA: 0s - loss: 7.4330e-05 77/262 [=======>......................] - ETA: 0s - loss: 6.4598e-05 116/262 [============>.................] - ETA: 0s - loss: 6.1237e-05 155/262 [================>.............] - ETA: 0s - loss: 5.9506e-05 195/262 [=====================>........] - ETA: 0s - loss: 5.9295e-05 234/262 [=========================>....] - ETA: 0s - loss: 6.3409e-05 262/262 [==============================] - 0s 1ms/step - loss: 6.2501e-05 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 4.0709e-05 37/262 [===>..........................] - ETA: 0s - loss: 7.2338e-05 77/262 [=======>......................] - ETA: 0s - loss: 6.4656e-05 117/262 [============>.................] - ETA: 0s - loss: 5.6216e-05 156/262 [================>.............] - ETA: 0s - loss: 5.4202e-05 196/262 [=====================>........] - ETA: 0s - loss: 5.0118e-05 235/262 [=========================>....] - ETA: 0s - loss: 4.8027e-05 262/262 [==============================] - 0s 1ms/step - loss: 4.6707e-05 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 2.1531e-05 41/262 [===>..........................] - ETA: 0s - loss: 3.5250e-05 80/262 [========>.....................] - ETA: 0s - loss: 4.3875e-05 120/262 [============>.................] - ETA: 0s - loss: 4.2909e-05 159/262 [=================>............] - ETA: 0s - loss: 4.1234e-05 198/262 [=====================>........] - ETA: 0s - loss: 3.8364e-05 237/262 [==========================>...] - ETA: 0s - loss: 3.7499e-05 262/262 [==============================] - 0s 1ms/step - loss: 3.6915e-05 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.6341e-05 40/262 [===>..........................] - ETA: 0s - loss: 2.9594e-05 80/262 [========>.....................] - ETA: 0s - loss: 2.6485e-05 116/262 [============>.................] - ETA: 0s - loss: 2.7161e-05 156/262 [================>.............] - ETA: 0s - loss: 2.5260e-05 191/262 [====================>.........] - ETA: 0s - loss: 2.6706e-05 226/262 [========================>.....] - ETA: 0s - loss: 3.0480e-05 258/262 [============================>.] - ETA: 0s - loss: 2.9573e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.9638e-05 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.8816e-05 40/262 [===>..........................] - ETA: 0s - loss: 2.1747e-05 79/262 [========>.....................] - ETA: 0s - loss: 2.0289e-05 119/262 [============>.................] - ETA: 0s - loss: 2.0288e-05 158/262 [=================>............] - ETA: 0s - loss: 2.0826e-05 197/262 [=====================>........] - ETA: 0s - loss: 2.4038e-05 235/262 [=========================>....] - ETA: 0s - loss: 2.3344e-05 262/262 [==============================] - 0s 1ms/step - loss: 2.4059e-05 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 3.1483e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.9699e-05 75/262 [=======>......................] - ETA: 0s - loss: 2.0256e-05 109/262 [===========>..................] - ETA: 0s - loss: 1.9137e-05 148/262 [===============>..............] - ETA: 0s - loss: 2.1651e-05 185/262 [====================>.........] - ETA: 0s - loss: 2.1995e-05 224/262 [========================>.....] - ETA: 0s - loss: 2.0393e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.9850e-05 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 3.3721e-05 40/262 [===>..........................] - ETA: 0s - loss: 1.3607e-05 79/262 [========>.....................] - ETA: 0s - loss: 1.4142e-05 119/262 [============>.................] - ETA: 0s - loss: 1.4462e-05 157/262 [================>.............] - ETA: 0s - loss: 1.6922e-05 194/262 [=====================>........] - ETA: 0s - loss: 1.6906e-05 229/262 [=========================>....] - ETA: 0s - loss: 1.6383e-05 262/262 [==============================] - 0s 1ms/step - loss: 1.6893e-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 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: 8.1322 41/262 [===>..........................] - ETA: 0s - loss: 13.8877 81/262 [========>.....................] - ETA: 0s - loss: 7.7341  119/262 [============>.................] - ETA: 0s - loss: 5.3608 158/262 [=================>............] - ETA: 0s - loss: 4.0411 199/262 [=====================>........] - ETA: 0s - loss: 3.2089 237/262 [==========================>...] - ETA: 0s - loss: 2.6947 262/262 [==============================] - 1s 1ms/step - loss: 2.4442 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 0.0034 40/262 [===>..........................] - ETA: 0s - loss: 0.0020 78/262 [=======>......................] - ETA: 0s - loss: 0.0019 118/262 [============>.................] - ETA: 0s - loss: 0.0017 156/262 [================>.............] - ETA: 0s - loss: 0.0016 196/262 [=====================>........] - ETA: 0s - loss: 0.0014 226/262 [========================>.....] - ETA: 0s - loss: 0.0023 262/262 [==============================] - 0s 1ms/step - loss: 0.0022 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 0.0025 38/262 [===>..........................] - ETA: 0s - loss: 0.0041 76/262 [=======>......................] - ETA: 0s - loss: 0.0024 112/262 [===========>..................] - ETA: 0s - loss: 0.0021 149/262 [================>.............] - ETA: 0s - loss: 0.0019 182/262 [===================>..........] - ETA: 0s - loss: 0.0016 217/262 [=======================>......] - ETA: 0s - loss: 0.0015 256/262 [============================>.] - ETA: 0s - loss: 0.0014 262/262 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 0.0020 40/262 [===>..........................] - ETA: 0s - loss: 9.0815e-04 74/262 [=======>......................] - ETA: 0s - loss: 8.1365e-04 106/262 [===========>..................] - ETA: 0s - loss: 7.5936e-04 140/262 [===============>..............] - ETA: 0s - loss: 7.6028e-04 178/262 [===================>..........] - ETA: 0s - loss: 0.0010  219/262 [========================>.....] - ETA: 0s - loss: 9.6303e-04 258/262 [============================>.] - ETA: 0s - loss: 9.3957e-04 262/262 [==============================] - 0s 1ms/step - loss: 9.3495e-04 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 1.6783e-05 40/262 [===>..........................] - ETA: 0s - loss: 7.8100e-04 79/262 [========>.....................] - ETA: 0s - loss: 7.1197e-04 118/262 [============>.................] - ETA: 0s - loss: 6.3024e-04 152/262 [================>.............] - ETA: 0s - loss: 6.2656e-04 191/262 [====================>.........] - ETA: 0s - loss: 6.3848e-04 230/262 [=========================>....] - ETA: 0s - loss: 6.1521e-04 262/262 [==============================] - 0s 1ms/step - loss: 6.9409e-04 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 0.0015 39/262 [===>..........................] - ETA: 0s - loss: 4.9515e-04 80/262 [========>.....................] - ETA: 0s - loss: 6.3148e-04 118/262 [============>.................] - ETA: 0s - loss: 5.3784e-04 156/262 [================>.............] - ETA: 0s - loss: 5.5513e-04 196/262 [=====================>........] - ETA: 0s - loss: 5.4985e-04 236/262 [==========================>...] - ETA: 0s - loss: 5.4650e-04 262/262 [==============================] - 0s 1ms/step - loss: 5.5636e-04 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 6.4887e-05 41/262 [===>..........................] - ETA: 0s - loss: 3.8786e-04 81/262 [========>.....................] - ETA: 0s - loss: 3.9451e-04 121/262 [============>.................] - ETA: 0s - loss: 4.1841e-04 161/262 [=================>............] - ETA: 0s - loss: 4.3057e-04 200/262 [=====================>........] - ETA: 0s - loss: 4.3935e-04 240/262 [==========================>...] - ETA: 0s - loss: 4.2096e-04 262/262 [==============================] - 0s 1ms/step - loss: 4.5504e-04 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 1.8229e-04 40/262 [===>..........................] - ETA: 0s - loss: 3.4286e-04 81/262 [========>.....................] - ETA: 0s - loss: 3.7410e-04 120/262 [============>.................] - ETA: 0s - loss: 4.0514e-04 160/262 [=================>............] - ETA: 0s - loss: 3.8156e-04 200/262 [=====================>........] - ETA: 0s - loss: 4.0645e-04 239/262 [==========================>...] - ETA: 0s - loss: 3.8164e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.7875e-04 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 1.5654e-05 39/262 [===>..........................] - ETA: 0s - loss: 3.2812e-04 79/262 [========>.....................] - ETA: 0s - loss: 3.2528e-04 118/262 [============>.................] - ETA: 0s - loss: 3.0993e-04 157/262 [================>.............] - ETA: 0s - loss: 2.8985e-04 190/262 [====================>.........] - ETA: 0s - loss: 3.1568e-04 220/262 [========================>.....] - ETA: 0s - loss: 3.2705e-04 253/262 [===========================>..] - ETA: 0s - loss: 3.2248e-04 262/262 [==============================] - 0s 1ms/step - loss: 3.1641e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 1.0583e-04 40/262 [===>..........................] - ETA: 0s - loss: 2.5924e-04 81/262 [========>.....................] - ETA: 0s - loss: 3.1821e-04 121/262 [============>.................] - ETA: 0s - loss: 3.1760e-04 161/262 [=================>............] - ETA: 0s - loss: 3.0159e-04 201/262 [======================>.......] - ETA: 0s - loss: 2.7290e-04 242/262 [==========================>...] - ETA: 0s - loss: 2.6762e-04 262/262 [==============================] - 0s 1ms/step - loss: 2.6666e-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 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: 47s - loss: 6.3327e-05 40/262 [===>..........................] - ETA: 0s - loss: 2.3346  80/262 [========>.....................] - ETA: 0s - loss: 1.1696 116/262 [============>.................] - ETA: 0s - loss: 0.8080 149/262 [================>.............] - ETA: 0s - loss: 0.6296 183/262 [===================>..........] - ETA: 0s - loss: 0.5130 221/262 [========================>.....] - ETA: 0s - loss: 0.4253 257/262 [============================>.] - ETA: 0s - loss: 0.3661 262/262 [==============================] - 1s 1ms/step - loss: 0.3598 Epoch 2/10 1/262 [..............................] - ETA: 0s - loss: 3.1373e-04 39/262 [===>..........................] - ETA: 0s - loss: 0.0018  74/262 [=======>......................] - ETA: 0s - loss: 0.0018 111/262 [===========>..................] - ETA: 0s - loss: 0.0017 150/262 [================>.............] - ETA: 0s - loss: 0.0023 189/262 [====================>.........] - ETA: 0s - loss: 0.0022 229/262 [=========================>....] - ETA: 0s - loss: 0.0022 262/262 [==============================] - 0s 1ms/step - loss: 0.0020 Epoch 3/10 1/262 [..............................] - ETA: 0s - loss: 0.0023 38/262 [===>..........................] - ETA: 0s - loss: 0.0027 77/262 [=======>......................] - ETA: 0s - loss: 0.0022 114/262 [============>.................] - ETA: 0s - loss: 0.0021 151/262 [================>.............] - ETA: 0s - loss: 0.0022 188/262 [====================>.........] - ETA: 0s - loss: 0.0020 226/262 [========================>.....] - ETA: 0s - loss: 0.0019 262/262 [==============================] - 0s 1ms/step - loss: 0.0017 Epoch 4/10 1/262 [..............................] - ETA: 0s - loss: 3.5647e-04 40/262 [===>..........................] - ETA: 0s - loss: 0.0015  79/262 [========>.....................] - ETA: 0s - loss: 0.0016 116/262 [============>.................] - ETA: 0s - loss: 0.0014 154/262 [================>.............] - ETA: 0s - loss: 0.0013 193/262 [=====================>........] - ETA: 0s - loss: 0.0011 231/262 [=========================>....] - ETA: 0s - loss: 0.0013 262/262 [==============================] - 0s 1ms/step - loss: 0.0016 Epoch 5/10 1/262 [..............................] - ETA: 0s - loss: 5.4776e-04 39/262 [===>..........................] - ETA: 0s - loss: 0.0033  78/262 [=======>......................] - ETA: 0s - loss: 0.0027 117/262 [============>.................] - ETA: 0s - loss: 0.0021 156/262 [================>.............] - ETA: 0s - loss: 0.0018 194/262 [=====================>........] - ETA: 0s - loss: 0.0016 231/262 [=========================>....] - ETA: 0s - loss: 0.0014 262/262 [==============================] - 0s 1ms/step - loss: 0.0014 Epoch 6/10 1/262 [..............................] - ETA: 0s - loss: 1.1378e-04 41/262 [===>..........................] - ETA: 0s - loss: 8.1154e-04 78/262 [=======>......................] - ETA: 0s - loss: 8.4160e-04 117/262 [============>.................] - ETA: 0s - loss: 0.0010  156/262 [================>.............] - ETA: 0s - loss: 9.5843e-04 195/262 [=====================>........] - ETA: 0s - loss: 9.1636e-04 233/262 [=========================>....] - ETA: 0s - loss: 0.0012  262/262 [==============================] - 0s 1ms/step - loss: 0.0013 Epoch 7/10 1/262 [..............................] - ETA: 0s - loss: 1.1121e-04 38/262 [===>..........................] - ETA: 0s - loss: 0.0018  75/262 [=======>......................] - ETA: 0s - loss: 0.0015 113/262 [===========>..................] - ETA: 0s - loss: 0.0013 151/262 [================>.............] - ETA: 0s - loss: 0.0015 184/262 [====================>.........] - ETA: 0s - loss: 0.0014 217/262 [=======================>......] - ETA: 0s - loss: 0.0012 252/262 [===========================>..] - ETA: 0s - loss: 0.0012 262/262 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 8/10 1/262 [..............................] - ETA: 0s - loss: 6.0834e-05 33/262 [==>...........................] - ETA: 0s - loss: 6.9586e-04 64/262 [======>.......................] - ETA: 0s - loss: 0.0013  95/262 [=========>....................] - ETA: 0s - loss: 0.0011 128/262 [=============>................] - ETA: 0s - loss: 0.0013 163/262 [=================>............] - ETA: 0s - loss: 0.0012 202/262 [======================>.......] - ETA: 0s - loss: 0.0012 239/262 [==========================>...] - ETA: 0s - loss: 9.8820e-04 262/262 [==============================] - 0s 1ms/step - loss: 0.0011 Epoch 9/10 1/262 [..............................] - ETA: 0s - loss: 2.3257e-05 38/262 [===>..........................] - ETA: 0s - loss: 6.1601e-05 77/262 [=======>......................] - ETA: 0s - loss: 7.8591e-04 117/262 [============>.................] - ETA: 0s - loss: 0.0012  155/262 [================>.............] - ETA: 0s - loss: 0.0011 194/262 [=====================>........] - ETA: 0s - loss: 9.2565e-04 232/262 [=========================>....] - ETA: 0s - loss: 0.0010  262/262 [==============================] - 0s 1ms/step - loss: 9.7804e-04 Epoch 10/10 1/262 [..............................] - ETA: 0s - loss: 2.6985e-05 39/262 [===>..........................] - ETA: 0s - loss: 5.0697e-04 75/262 [=======>......................] - ETA: 0s - loss: 7.5622e-04 114/262 [============>.................] - ETA: 0s - loss: 5.2394e-04 152/262 [================>.............] - ETA: 0s - loss: 7.4950e-04 187/262 [====================>.........] - ETA: 0s - loss: 7.9898e-04 219/262 [========================>.....] - ETA: 0s - loss: 8.4573e-04 256/262 [============================>.] - ETA: 0s - loss: 9.2623e-04 262/262 [==============================] - 0s 1ms/step - loss: 9.0725e-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 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 654, 3 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: 653.16, 0.24 LR fn, tp: 0.0, 9.8 LR f1 score: 0.989 LR cohens kappa score: 0.989 LR average precision score: 0.989 minimum: LR tn, fp: 651, 0 LR fn, tp: 0, 9 LR f1 score: 0.870 LR cohens kappa score: 0.867 LR average precision score: 0.734 -----[ 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, 2 GB fn, tp: 0, 10 GB f1 score: 1.000 GB cohens kappa score: 1.000 average: GB tn, fp: 653.28, 0.12 GB fn, tp: 0.0, 9.8 GB f1 score: 0.994 GB cohens kappa score: 0.994 minimum: GB tn, fp: 650, 0 GB fn, tp: 0, 9 GB f1 score: 0.909 GB cohens kappa score: 0.908 -----[ KNN ]----- maximum: KNN tn, fp: 654, 3 KNN fn, tp: 0, 10 KNN f1 score: 1.000 KNN cohens kappa score: 1.000 average: KNN tn, fp: 652.56, 0.84 KNN fn, tp: 0.0, 9.8 KNN f1 score: 0.960 KNN cohens kappa score: 0.960 minimum: KNN tn, fp: 649, 0 KNN fn, tp: 0, 9 KNN f1 score: 0.870 KNN cohens kappa score: 0.867 -----[ GAN ]----- maximum: GAN tn, fp: 654, 1 GAN fn, tp: 1, 10 GAN f1 score: 1.000 GAN cohens kappa score: 1.000 average: GAN tn, fp: 653.32, 0.08 GAN fn, tp: 0.04, 9.76 GAN f1 score: 0.994 GAN cohens kappa score: 0.994 minimum: GAN tn, fp: 651, 0 GAN fn, tp: 0, 9 GAN f1 score: 0.947 GAN cohens kappa score: 0.947