ConvGeNBenchmarkResults/data_result/convGAN-proximity-5/folding_kddcup-guess_passwd_vs_satan.log

///////////////////////////////////////////
// Running convGAN-proximary-5 on folding_kddcup-guess_passwd_vs_satan
///////////////////////////////////////////

Load 'data_input/folding_kddcup-guess_passwd_vs_satan'
from pickle file
Data loaded.
-> Shuffling data
### Start exercise for synthetic point generator

====== Step 1/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 1/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 19s - loss: 1.0659e-07
 36/128 [=======>......................] - ETA: 0s - loss: 1.4410e-07 
 71/128 [===============>..............] - ETA: 0s - loss: 1.4334e-07
103/128 [=======================>......] - ETA: 0s - loss: 1.4066e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.5073e-07
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 7.5439e-08
 36/128 [=======>......................] - ETA: 0s - loss: 1.5446e-07
 70/128 [===============>..............] - ETA: 0s - loss: 1.3284e-07
105/128 [=======================>......] - ETA: 0s - loss: 1.2489e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.2279e-07
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 8.4817e-08
 36/128 [=======>......................] - ETA: 0s - loss: 8.7360e-08
 69/128 [===============>..............] - ETA: 0s - loss: 8.1070e-08
104/128 [=======================>......] - ETA: 0s - loss: 9.2948e-08
128/128 [==============================] - 0s 1ms/step - loss: 8.7595e-08
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 3.7666e-08
 35/128 [=======>......................] - ETA: 0s - loss: 6.4786e-08
 66/128 [==============>...............] - ETA: 0s - loss: 6.0603e-08
 93/128 [====================>.........] - ETA: 0s - loss: 7.5208e-08
119/128 [==========================>...] - ETA: 0s - loss: 6.9462e-08
128/128 [==============================] - 0s 2ms/step - loss: 6.7792e-08
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 7.3113e-08
 33/128 [======>.......................] - ETA: 0s - loss: 4.8498e-08
 67/128 [==============>...............] - ETA: 0s - loss: 5.0768e-08
102/128 [======================>.......] - ETA: 0s - loss: 6.1589e-08
128/128 [==============================] - 0s 1ms/step - loss: 5.6481e-08
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 5.5751e-08
 33/128 [======>.......................] - ETA: 0s - loss: 4.1963e-08
 67/128 [==============>...............] - ETA: 0s - loss: 4.0443e-08
 96/128 [=====================>........] - ETA: 0s - loss: 5.5449e-08
128/128 [==============================] - 0s 2ms/step - loss: 4.9499e-08
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 2.8603e-08
 39/128 [========>.....................] - ETA: 0s - loss: 3.2226e-08
 73/128 [================>.............] - ETA: 0s - loss: 3.5083e-08
109/128 [========================>.....] - ETA: 0s - loss: 4.6731e-08
128/128 [==============================] - 0s 1ms/step - loss: 4.4412e-08
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 3.5101e-08
 36/128 [=======>......................] - ETA: 0s - loss: 2.6201e-08
 71/128 [===============>..............] - ETA: 0s - loss: 2.8556e-08
106/128 [=======================>......] - ETA: 0s - loss: 2.8352e-08
128/128 [==============================] - 0s 1ms/step - loss: 4.0527e-08
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 2.1261e-08
 37/128 [=======>......................] - ETA: 0s - loss: 2.6599e-08
 73/128 [================>.............] - ETA: 0s - loss: 2.5230e-08
106/128 [=======================>......] - ETA: 0s - loss: 4.0675e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.7426e-08
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.0606e-08
 38/128 [=======>......................] - ETA: 0s - loss: 2.3241e-08
 74/128 [================>.............] - ETA: 0s - loss: 2.0807e-08
109/128 [========================>.....] - ETA: 0s - loss: 2.2454e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.4860e-08
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 1/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 19s - loss: 6.2898e-05
 41/128 [========>.....................] - ETA: 0s - loss: 0.0084     
 80/128 [=================>............] - ETA: 0s - loss: 0.0044
121/128 [===========================>..] - ETA: 0s - loss: 0.0029
128/128 [==============================] - 0s 1ms/step - loss: 0.0028
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 1.5627e-04
 41/128 [========>.....................] - ETA: 0s - loss: 1.3830e-04
 81/128 [=================>............] - ETA: 0s - loss: 1.4367e-04
118/128 [==========================>...] - ETA: 0s - loss: 1.3510e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.3106e-04
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.9468e-04
 40/128 [========>.....................] - ETA: 0s - loss: 1.2014e-04
 78/128 [=================>............] - ETA: 0s - loss: 1.1258e-04
119/128 [==========================>...] - ETA: 0s - loss: 1.1194e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.1050e-04
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.1072e-04
 41/128 [========>.....................] - ETA: 0s - loss: 1.1221e-04
 79/128 [=================>............] - ETA: 0s - loss: 1.0059e-04
119/128 [==========================>...] - ETA: 0s - loss: 9.5377e-05
128/128 [==============================] - 0s 1ms/step - loss: 9.4961e-05
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 9.5414e-05
 42/128 [========>.....................] - ETA: 0s - loss: 7.1038e-05
 82/128 [==================>...........] - ETA: 0s - loss: 7.8329e-05
113/128 [=========================>....] - ETA: 0s - loss: 8.0355e-05
128/128 [==============================] - 0s 1ms/step - loss: 8.1594e-05
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 8.2271e-05
 35/128 [=======>......................] - ETA: 0s - loss: 7.1586e-05
 74/128 [================>.............] - ETA: 0s - loss: 6.6973e-05
114/128 [=========================>....] - ETA: 0s - loss: 7.1985e-05
128/128 [==============================] - 0s 1ms/step - loss: 7.0810e-05
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 3.5767e-05
 39/128 [========>.....................] - ETA: 0s - loss: 6.2217e-05
 80/128 [=================>............] - ETA: 0s - loss: 6.3997e-05
119/128 [==========================>...] - ETA: 0s - loss: 6.1982e-05
128/128 [==============================] - 0s 1ms/step - loss: 6.1754e-05
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 6.2539e-05
 38/128 [=======>......................] - ETA: 0s - loss: 5.1902e-05
 78/128 [=================>............] - ETA: 0s - loss: 5.1861e-05
118/128 [==========================>...] - ETA: 0s - loss: 5.4507e-05
128/128 [==============================] - 0s 1ms/step - loss: 5.4085e-05
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 5.4896e-05
 42/128 [========>.....................] - ETA: 0s - loss: 5.6885e-05
 83/128 [==================>...........] - ETA: 0s - loss: 5.0775e-05
122/128 [===========================>..] - ETA: 0s - loss: 4.8570e-05
128/128 [==============================] - 0s 1ms/step - loss: 4.7575e-05
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 4.8327e-05
 39/128 [========>.....................] - ETA: 0s - loss: 4.2075e-05
 78/128 [=================>............] - ETA: 0s - loss: 4.1087e-05
117/128 [==========================>...] - ETA: 0s - loss: 4.1380e-05
128/128 [==============================] - 0s 1ms/step - loss: 4.1998e-05
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 1/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 20s - loss: 1.4174e-08
 41/128 [========>.....................] - ETA: 0s - loss: 2.4629e-08 
 77/128 [=================>............] - ETA: 0s - loss: 2.3318e-08
116/128 [==========================>...] - ETA: 0s - loss: 4.5040e-08
128/128 [==============================] - 0s 1ms/step - loss: 4.2820e-08
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 3.1095e-08
 40/128 [========>.....................] - ETA: 0s - loss: 1.8624e-08
 79/128 [=================>............] - ETA: 0s - loss: 5.1514e-08
118/128 [==========================>...] - ETA: 0s - loss: 3.9765e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.8047e-08
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.2575e-08
 42/128 [========>.....................] - ETA: 0s - loss: 1.2830e-08
 80/128 [=================>............] - ETA: 0s - loss: 4.7294e-08
118/128 [==========================>...] - ETA: 0s - loss: 3.6850e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.5137e-08
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.5195e-08
 41/128 [========>.....................] - ETA: 0s - loss: 1.2519e-08
 81/128 [=================>............] - ETA: 0s - loss: 4.5243e-08
121/128 [===========================>..] - ETA: 0s - loss: 3.4425e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.3321e-08
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.4950e-08
 40/128 [========>.....................] - ETA: 0s - loss: 1.1960e-08
 74/128 [================>.............] - ETA: 0s - loss: 4.7389e-08
109/128 [========================>.....] - ETA: 0s - loss: 3.5802e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.2093e-08
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.2758e-08
 42/128 [========>.....................] - ETA: 0s - loss: 1.0782e-08
 82/128 [==================>...........] - ETA: 0s - loss: 1.0686e-08
123/128 [===========================>..] - ETA: 0s - loss: 3.2058e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.1379e-08
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 1.3402e-08
 42/128 [========>.....................] - ETA: 0s - loss: 9.8203e-09
 82/128 [==================>...........] - ETA: 0s - loss: 4.2147e-08
120/128 [===========================>..] - ETA: 0s - loss: 3.2106e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.0931e-08
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 6.9204e-09
 40/128 [========>.....................] - ETA: 0s - loss: 9.8335e-09
 75/128 [================>.............] - ETA: 0s - loss: 4.4833e-08
114/128 [=========================>....] - ETA: 0s - loss: 3.2918e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.0536e-08
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 9.4322e-09
 41/128 [========>.....................] - ETA: 0s - loss: 7.3864e-08
 80/128 [=================>............] - ETA: 0s - loss: 4.2266e-08
119/128 [==========================>...] - ETA: 0s - loss: 3.1463e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.0122e-08
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.0405e-08
 40/128 [========>.....................] - ETA: 0s - loss: 9.4517e-09
 80/128 [=================>............] - ETA: 0s - loss: 4.2199e-08
119/128 [==========================>...] - ETA: 0s - loss: 3.1239e-08
128/128 [==============================] - 0s 1ms/step - loss: 2.9829e-08
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 1
KNN fn, tp: 0, 11
KNN f1 score: 0.957
KNN cohens kappa score: 0.955


------ Step 1/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 22s - loss: 1.6558e-07
 33/128 [======>.......................] - ETA: 0s - loss: 1.3120e-07 
 67/128 [==============>...............] - ETA: 0s - loss: 1.5903e-07
102/128 [======================>.......] - ETA: 0s - loss: 1.4075e-07
128/128 [==============================] - 0s 2ms/step - loss: 1.3802e-07
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 1.5613e-07
 33/128 [======>.......................] - ETA: 0s - loss: 1.6699e-07
 65/128 [==============>...............] - ETA: 0s - loss: 1.2882e-07
 98/128 [=====================>........] - ETA: 0s - loss: 1.1571e-07
128/128 [==============================] - 0s 2ms/step - loss: 1.0835e-07
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.3240e-07
 34/128 [======>.......................] - ETA: 0s - loss: 8.6111e-08
 67/128 [==============>...............] - ETA: 0s - loss: 8.1122e-08
101/128 [======================>.......] - ETA: 0s - loss: 9.7496e-08
128/128 [==============================] - 0s 2ms/step - loss: 8.9508e-08
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 2.6153e-08
 37/128 [=======>......................] - ETA: 0s - loss: 6.5137e-08
 70/128 [===============>..............] - ETA: 0s - loss: 6.3941e-08
104/128 [=======================>......] - ETA: 0s - loss: 8.1268e-08
128/128 [==============================] - 0s 2ms/step - loss: 7.7776e-08
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 3.0991e-08
 32/128 [======>.......................] - ETA: 0s - loss: 1.1564e-07
 66/128 [==============>...............] - ETA: 0s - loss: 8.7948e-08
100/128 [======================>.......] - ETA: 0s - loss: 7.4410e-08
128/128 [==============================] - 0s 2ms/step - loss: 6.9401e-08
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 3.2321e-08
 36/128 [=======>......................] - ETA: 0s - loss: 5.1089e-08
 71/128 [===============>..............] - ETA: 0s - loss: 7.6756e-08
107/128 [========================>.....] - ETA: 0s - loss: 6.6571e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.2753e-08
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 7.9981e-08
 31/128 [======>.......................] - ETA: 0s - loss: 4.2923e-08
 58/128 [============>.................] - ETA: 0s - loss: 4.3633e-08
 87/128 [===================>..........] - ETA: 0s - loss: 4.1573e-08
118/128 [==========================>...] - ETA: 0s - loss: 5.8827e-08
128/128 [==============================] - 0s 2ms/step - loss: 5.7312e-08
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 3.5208e-08
 40/128 [========>.....................] - ETA: 0s - loss: 8.8608e-08
 74/128 [================>.............] - ETA: 0s - loss: 6.5872e-08
115/128 [=========================>....] - ETA: 0s - loss: 5.5264e-08
128/128 [==============================] - 0s 1ms/step - loss: 5.3352e-08
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 2.5149e-08
 36/128 [=======>......................] - ETA: 0s - loss: 3.2571e-08
 70/128 [===============>..............] - ETA: 0s - loss: 3.3386e-08
108/128 [========================>.....] - ETA: 0s - loss: 3.3822e-08
128/128 [==============================] - 0s 1ms/step - loss: 5.0204e-08
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 2.8394e-08
 35/128 [=======>......................] - ETA: 0s - loss: 3.2191e-08
 68/128 [==============>...............] - ETA: 0s - loss: 3.2876e-08
102/128 [======================>.......] - ETA: 0s - loss: 5.1390e-08
128/128 [==============================] - 0s 2ms/step - loss: 4.7414e-08
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 1/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1228 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 24s - loss: 111.1529
 42/128 [========>.....................] - ETA: 0s - loss: 6.4166   
 80/128 [=================>............] - ETA: 0s - loss: 3.3688
122/128 [===========================>..] - ETA: 0s - loss: 2.2091
128/128 [==============================] - 0s 1ms/step - loss: 2.1188
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 9.9028e-05
 36/128 [=======>......................] - ETA: 0s - loss: 1.7240e-04
 49/128 [==========>...................] - ETA: 0s - loss: 1.6891e-04
 70/128 [===============>..............] - ETA: 0s - loss: 1.7876e-04
103/128 [=======================>......] - ETA: 0s - loss: 1.6549e-04
128/128 [==============================] - 0s 2ms/step - loss: 1.5505e-04
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 2.5616e-04
 35/128 [=======>......................] - ETA: 0s - loss: 1.4401e-04
 71/128 [===============>..............] - ETA: 0s - loss: 1.4272e-04
 88/128 [===================>..........] - ETA: 0s - loss: 1.4279e-04
115/128 [=========================>....] - ETA: 0s - loss: 1.3397e-04
128/128 [==============================] - 0s 2ms/step - loss: 1.3476e-04
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 7.4850e-05
 40/128 [========>.....................] - ETA: 0s - loss: 1.2478e-04
 80/128 [=================>............] - ETA: 0s - loss: 1.2664e-04
116/128 [==========================>...] - ETA: 0s - loss: 1.1707e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.1823e-04
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.9763e-04
 14/128 [==>...........................] - ETA: 0s - loss: 1.0262e-04
 42/128 [========>.....................] - ETA: 0s - loss: 1.0267e-04
 81/128 [=================>............] - ETA: 0s - loss: 1.1121e-04
120/128 [===========================>..] - ETA: 0s - loss: 1.0673e-04
128/128 [==============================] - 0s 2ms/step - loss: 1.0389e-04
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.1594e-04
 32/128 [======>.......................] - ETA: 0s - loss: 1.1612e-04
 63/128 [=============>................] - ETA: 0s - loss: 0.0030    
 84/128 [==================>...........] - ETA: 0s - loss: 0.0023
126/128 [============================>.] - ETA: 0s - loss: 0.0016
128/128 [==============================] - 0s 2ms/step - loss: 0.0016
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 5.9154e-05
 42/128 [========>.....................] - ETA: 0s - loss: 9.0346e-05
 82/128 [==================>...........] - ETA: 0s - loss: 9.7528e-05
117/128 [==========================>...] - ETA: 0s - loss: 9.2957e-05
128/128 [==============================] - 0s 1ms/step - loss: 9.5386e-05
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 2.1743e-04
  9/128 [=>............................] - ETA: 0s - loss: 1.0242e-04
 41/128 [========>.....................] - ETA: 0s - loss: 8.9045e-05
 77/128 [=================>............] - ETA: 0s - loss: 8.7592e-05
116/128 [==========================>...] - ETA: 0s - loss: 8.7772e-05
128/128 [==============================] - 0s 2ms/step - loss: 8.7993e-05
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 1.2450e-07
 36/128 [=======>......................] - ETA: 0s - loss: 8.9891e-05
 57/128 [============>.................] - ETA: 0s - loss: 8.6816e-05
 69/128 [===============>..............] - ETA: 0s - loss: 8.9265e-05
105/128 [=======================>......] - ETA: 0s - loss: 8.6375e-05
128/128 [==============================] - 0s 2ms/step - loss: 8.1636e-05
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.9468e-08
 37/128 [=======>......................] - ETA: 0s - loss: 7.1304e-05
 73/128 [================>.............] - ETA: 0s - loss: 7.1005e-05
102/128 [======================>.......] - ETA: 0s - loss: 7.7045e-05
128/128 [==============================] - 0s 2ms/step - loss: 7.5904e-05
-> test with GAN.predict
GAN tn, fp: 317, 0
GAN fn, tp: 0, 9
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 316, 1
LR fn, tp: 0, 9
LR f1 score: 0.947
LR cohens kappa score: 0.946
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 317, 0
RF fn, tp: 0, 9
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 317, 0
GB fn, tp: 0, 9
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 0
KNN fn, tp: 0, 9
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


====== Step 2/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 2/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 19s - loss: 4.8173e-06
 42/128 [========>.....................] - ETA: 0s - loss: 4.6825e-06 
 84/128 [==================>...........] - ETA: 0s - loss: 4.3188e-06
126/128 [============================>.] - ETA: 0s - loss: 4.0823e-06
128/128 [==============================] - 0s 1ms/step - loss: 4.0748e-06
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 3.9950e-06
 42/128 [========>.....................] - ETA: 0s - loss: 4.1067e-06
 84/128 [==================>...........] - ETA: 0s - loss: 3.6977e-06
125/128 [============================>.] - ETA: 0s - loss: 3.6826e-06
128/128 [==============================] - 0s 1ms/step - loss: 3.6933e-06
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.9359e-06
 41/128 [========>.....................] - ETA: 0s - loss: 3.8169e-06
 82/128 [==================>...........] - ETA: 0s - loss: 3.4304e-06
122/128 [===========================>..] - ETA: 0s - loss: 3.3814e-06
128/128 [==============================] - 0s 1ms/step - loss: 3.3764e-06
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 2.3950e-06
 42/128 [========>.....................] - ETA: 0s - loss: 3.3187e-06
 82/128 [==================>...........] - ETA: 0s - loss: 3.2378e-06
123/128 [===========================>..] - ETA: 0s - loss: 3.1219e-06
128/128 [==============================] - 0s 1ms/step - loss: 3.1146e-06
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 6.5872e-06
 38/128 [=======>......................] - ETA: 0s - loss: 2.8175e-06
 78/128 [=================>............] - ETA: 0s - loss: 2.8523e-06
119/128 [==========================>...] - ETA: 0s - loss: 2.9172e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.8856e-06
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 2.7329e-06
 42/128 [========>.....................] - ETA: 0s - loss: 2.5349e-06
 81/128 [=================>............] - ETA: 0s - loss: 2.7311e-06
118/128 [==========================>...] - ETA: 0s - loss: 2.6969e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.6763e-06
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 1.8476e-06
 40/128 [========>.....................] - ETA: 0s - loss: 2.6494e-06
 74/128 [================>.............] - ETA: 0s - loss: 2.5472e-06
113/128 [=========================>....] - ETA: 0s - loss: 2.4764e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.4838e-06
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 2.0841e-06
 38/128 [=======>......................] - ETA: 0s - loss: 2.4294e-06
 77/128 [=================>............] - ETA: 0s - loss: 2.4540e-06
117/128 [==========================>...] - ETA: 0s - loss: 2.3200e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.3068e-06
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 1.9008e-06
 42/128 [========>.....................] - ETA: 0s - loss: 2.2317e-06
 83/128 [==================>...........] - ETA: 0s - loss: 2.1412e-06
122/128 [===========================>..] - ETA: 0s - loss: 2.1612e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.1429e-06
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.9916e-06
 42/128 [========>.....................] - ETA: 0s - loss: 2.1081e-06
 81/128 [=================>............] - ETA: 0s - loss: 2.0214e-06
117/128 [==========================>...] - ETA: 0s - loss: 2.0270e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.9935e-06
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 2/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 20s - loss: 2.7669e-06
 33/128 [======>.......................] - ETA: 0s - loss: 1.5961e-06 
 64/128 [==============>...............] - ETA: 0s - loss: 1.5922e-06
103/128 [=======================>......] - ETA: 0s - loss: 1.4374e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.3594e-06
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 6.7209e-07
 41/128 [========>.....................] - ETA: 0s - loss: 1.1455e-06
 77/128 [=================>............] - ETA: 0s - loss: 1.0894e-06
116/128 [==========================>...] - ETA: 0s - loss: 1.0096e-06
128/128 [==============================] - 0s 1ms/step - loss: 9.9281e-07
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.2157e-06
 41/128 [========>.....................] - ETA: 0s - loss: 8.5285e-07
 80/128 [=================>............] - ETA: 0s - loss: 8.0076e-07
120/128 [===========================>..] - ETA: 0s - loss: 7.8614e-07
128/128 [==============================] - 0s 1ms/step - loss: 7.7924e-07
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 5.7620e-07
 41/128 [========>.....................] - ETA: 0s - loss: 6.8722e-07
 80/128 [=================>............] - ETA: 0s - loss: 6.3725e-07
119/128 [==========================>...] - ETA: 0s - loss: 6.4227e-07
128/128 [==============================] - 0s 1ms/step - loss: 6.3475e-07
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 3.7637e-07
 42/128 [========>.....................] - ETA: 0s - loss: 5.3298e-07
 83/128 [==================>...........] - ETA: 0s - loss: 5.4468e-07
125/128 [============================>.] - ETA: 0s - loss: 5.3305e-07
128/128 [==============================] - 0s 1ms/step - loss: 5.3052e-07
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 7.3243e-07
 39/128 [========>.....................] - ETA: 0s - loss: 4.5587e-07
 80/128 [=================>............] - ETA: 0s - loss: 4.5045e-07
121/128 [===========================>..] - ETA: 0s - loss: 4.5425e-07
128/128 [==============================] - 0s 1ms/step - loss: 4.5082e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 4.1225e-07
 43/128 [=========>....................] - ETA: 0s - loss: 3.9058e-07
 83/128 [==================>...........] - ETA: 0s - loss: 3.8515e-07
124/128 [============================>.] - ETA: 0s - loss: 3.9048e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.8912e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 6.2854e-07
 43/128 [=========>....................] - ETA: 0s - loss: 3.2428e-07
 84/128 [==================>...........] - ETA: 0s - loss: 3.4536e-07
125/128 [============================>.] - ETA: 0s - loss: 3.3880e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.3924e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 3.1978e-07
 36/128 [=======>......................] - ETA: 0s - loss: 2.7194e-07
 77/128 [=================>............] - ETA: 0s - loss: 2.8551e-07
119/128 [==========================>...] - ETA: 0s - loss: 2.8393e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.9902e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.9437e-07
 42/128 [========>.....................] - ETA: 0s - loss: 2.5180e-07
 82/128 [==================>...........] - ETA: 0s - loss: 2.8232e-07
124/128 [============================>.] - ETA: 0s - loss: 2.6787e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.6584e-07
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 1
KNN fn, tp: 0, 11
KNN f1 score: 0.957
KNN cohens kappa score: 0.955


------ Step 2/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 19s - loss: 1.6959e-07
 43/128 [=========>....................] - ETA: 0s - loss: 4.5883e-07 
 85/128 [==================>...........] - ETA: 0s - loss: 0.0259    
124/128 [============================>.] - ETA: 0s - loss: 0.0177
128/128 [==============================] - 0s 1ms/step - loss: 0.0173
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 5.4132e-07
 41/128 [========>.....................] - ETA: 0s - loss: 1.2806e-06
 83/128 [==================>...........] - ETA: 0s - loss: 1.1659e-06
124/128 [============================>.] - ETA: 0s - loss: 1.1218e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.1130e-06
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 6.0880e-07
 41/128 [========>.....................] - ETA: 0s - loss: 1.3386e-06
 80/128 [=================>............] - ETA: 0s - loss: 1.1094e-06
120/128 [===========================>..] - ETA: 0s - loss: 1.0835e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.0614e-06
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 7.7966e-07
 42/128 [========>.....................] - ETA: 0s - loss: 8.1668e-07
 83/128 [==================>...........] - ETA: 0s - loss: 9.0344e-07
125/128 [============================>.] - ETA: 0s - loss: 1.0133e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.0129e-06
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 8.0627e-07
 42/128 [========>.....................] - ETA: 0s - loss: 9.7024e-07
 82/128 [==================>...........] - ETA: 0s - loss: 1.0642e-06
117/128 [==========================>...] - ETA: 0s - loss: 9.9225e-07
128/128 [==============================] - 0s 1ms/step - loss: 9.6602e-07
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 7.1629e-07
 34/128 [======>.......................] - ETA: 0s - loss: 9.3585e-07
 71/128 [===============>..............] - ETA: 0s - loss: 9.4276e-07
104/128 [=======================>......] - ETA: 0s - loss: 9.3906e-07
128/128 [==============================] - 0s 1ms/step - loss: 9.2013e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 4.2865e-07
 40/128 [========>.....................] - ETA: 0s - loss: 8.5455e-07
 81/128 [=================>............] - ETA: 0s - loss: 9.6786e-07
120/128 [===========================>..] - ETA: 0s - loss: 8.9827e-07
128/128 [==============================] - 0s 1ms/step - loss: 8.7693e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 6.2222e-07
 41/128 [========>.....................] - ETA: 0s - loss: 7.4177e-07
 79/128 [=================>............] - ETA: 0s - loss: 7.7624e-07
119/128 [==========================>...] - ETA: 0s - loss: 7.8098e-07
128/128 [==============================] - 0s 1ms/step - loss: 8.3382e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 7.5704e-07
 36/128 [=======>......................] - ETA: 0s - loss: 6.8410e-07
 72/128 [===============>..............] - ETA: 0s - loss: 7.3022e-07
110/128 [========================>.....] - ETA: 0s - loss: 7.8838e-07
128/128 [==============================] - 0s 1ms/step - loss: 7.9299e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 4.3117e-06
 39/128 [========>.....................] - ETA: 0s - loss: 6.4382e-07
 79/128 [=================>............] - ETA: 0s - loss: 7.7671e-07
120/128 [===========================>..] - ETA: 0s - loss: 7.6301e-07
128/128 [==============================] - 0s 1ms/step - loss: 7.5372e-07
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 2/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 22s - loss: 1.9466e-07
 38/128 [=======>......................] - ETA: 0s - loss: 1.4275e-07 
 71/128 [===============>..............] - ETA: 0s - loss: 1.4004e-07
107/128 [========================>.....] - ETA: 0s - loss: 2.0696e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.9298e-07
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 5.7149e-08
 37/128 [=======>......................] - ETA: 0s - loss: 2.1907e-07
 75/128 [================>.............] - ETA: 0s - loss: 1.8851e-07
114/128 [=========================>....] - ETA: 0s - loss: 1.5551e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.4875e-07
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 6.5061e-08
 39/128 [========>.....................] - ETA: 0s - loss: 7.6679e-08
 74/128 [================>.............] - ETA: 0s - loss: 1.2035e-07
110/128 [========================>.....] - ETA: 0s - loss: 1.0563e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.2253e-07
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 6.3106e-08
 37/128 [=======>......................] - ETA: 0s - loss: 7.2958e-08
 71/128 [===============>..............] - ETA: 0s - loss: 1.0887e-07
108/128 [========================>.....] - ETA: 0s - loss: 1.1223e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.0483e-07
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 2.1564e-08
 36/128 [=======>......................] - ETA: 0s - loss: 6.2142e-08
 72/128 [===============>..............] - ETA: 0s - loss: 8.7129e-08
106/128 [=======================>......] - ETA: 0s - loss: 1.0108e-07
128/128 [==============================] - 0s 1ms/step - loss: 9.2026e-08
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 2.8920e-08
 38/128 [=======>......................] - ETA: 0s - loss: 1.1964e-07
 75/128 [================>.............] - ETA: 0s - loss: 8.5811e-08
108/128 [========================>.....] - ETA: 0s - loss: 7.5221e-08
128/128 [==============================] - 0s 1ms/step - loss: 8.2180e-08
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 3.5768e-08
 37/128 [=======>......................] - ETA: 0s - loss: 4.7608e-08
 76/128 [================>.............] - ETA: 0s - loss: 8.2863e-08
113/128 [=========================>....] - ETA: 0s - loss: 7.9290e-08
128/128 [==============================] - 0s 1ms/step - loss: 7.4531e-08
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 6.7944e-09
 34/128 [======>.......................] - ETA: 0s - loss: 1.1453e-07
 68/128 [==============>...............] - ETA: 0s - loss: 9.1356e-08
103/128 [=======================>......] - ETA: 0s - loss: 7.4148e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.8351e-08
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 3.5250e-08
 36/128 [=======>......................] - ETA: 0s - loss: 3.4198e-08
 72/128 [===============>..............] - ETA: 0s - loss: 3.4205e-08
106/128 [=======================>......] - ETA: 0s - loss: 6.8738e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.3246e-08
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 2.3834e-08
 38/128 [=======>......................] - ETA: 0s - loss: 4.9979e-08
 72/128 [===============>..............] - ETA: 0s - loss: 7.8494e-08
108/128 [========================>.....] - ETA: 0s - loss: 6.3522e-08
128/128 [==============================] - 0s 1ms/step - loss: 5.8944e-08
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 2/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1228 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 19s - loss: 3.6308e-07
 41/128 [========>.....................] - ETA: 0s - loss: 3.4488e-07 
 80/128 [=================>............] - ETA: 0s - loss: 3.1783e-07
121/128 [===========================>..] - ETA: 0s - loss: 3.1177e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.0999e-07
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 4.5219e-07
 42/128 [========>.....................] - ETA: 0s - loss: 2.5939e-07
 81/128 [=================>............] - ETA: 0s - loss: 2.7879e-07
122/128 [===========================>..] - ETA: 0s - loss: 2.7033e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.7101e-07
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.8165e-07
 34/128 [======>.......................] - ETA: 0s - loss: 2.4097e-07
 68/128 [==============>...............] - ETA: 0s - loss: 2.5357e-07
103/128 [=======================>......] - ETA: 0s - loss: 2.4329e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.3931e-07
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.7913e-07
 43/128 [=========>....................] - ETA: 0s - loss: 2.1600e-07
 84/128 [==================>...........] - ETA: 0s - loss: 2.1553e-07
125/128 [============================>.] - ETA: 0s - loss: 2.1373e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.1314e-07
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.6275e-07
 41/128 [========>.....................] - ETA: 0s - loss: 1.9986e-07
 81/128 [=================>............] - ETA: 0s - loss: 2.0088e-07
122/128 [===========================>..] - ETA: 0s - loss: 1.9222e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.9073e-07
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 2.3902e-07
 41/128 [========>.....................] - ETA: 0s - loss: 1.6257e-07
 81/128 [=================>............] - ETA: 0s - loss: 1.7449e-07
119/128 [==========================>...] - ETA: 0s - loss: 1.7341e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.7152e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 1.7937e-07
 43/128 [=========>....................] - ETA: 0s - loss: 1.6255e-07
 80/128 [=================>............] - ETA: 0s - loss: 1.5683e-07
119/128 [==========================>...] - ETA: 0s - loss: 1.5488e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.5501e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 1.2754e-07
 40/128 [========>.....................] - ETA: 0s - loss: 1.4182e-07
 80/128 [=================>............] - ETA: 0s - loss: 1.4223e-07
120/128 [===========================>..] - ETA: 0s - loss: 1.4169e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.4061e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 1.2482e-07
 44/128 [=========>....................] - ETA: 0s - loss: 1.2405e-07
 83/128 [==================>...........] - ETA: 0s - loss: 1.2889e-07
121/128 [===========================>..] - ETA: 0s - loss: 1.2786e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.2786e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.0251e-07
 41/128 [========>.....................] - ETA: 0s - loss: 1.2817e-07
 82/128 [==================>...........] - ETA: 0s - loss: 1.2040e-07
123/128 [===========================>..] - ETA: 0s - loss: 1.1719e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.1645e-07
-> test with GAN.predict
GAN tn, fp: 317, 0
GAN fn, tp: 0, 9
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 317, 0
LR fn, tp: 0, 9
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 317, 0
RF fn, tp: 0, 9
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 317, 0
GB fn, tp: 0, 9
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 0
KNN fn, tp: 0, 9
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


====== Step 3/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 3/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 19s - loss: 4.3874e-07
 36/128 [=======>......................] - ETA: 0s - loss: 3.7870e-07 
 77/128 [=================>............] - ETA: 0s - loss: 3.3940e-07
117/128 [==========================>...] - ETA: 0s - loss: 3.3919e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.3668e-07
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 2.3452e-07
 39/128 [========>.....................] - ETA: 0s - loss: 3.0675e-07
 74/128 [================>.............] - ETA: 0s - loss: 3.1919e-07
109/128 [========================>.....] - ETA: 0s - loss: 3.0799e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.0092e-07
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.7240e-07
 42/128 [========>.....................] - ETA: 0s - loss: 2.6024e-07
 83/128 [==================>...........] - ETA: 0s - loss: 2.5415e-07
123/128 [===========================>..] - ETA: 0s - loss: 2.6266e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.7250e-07
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 2.8396e-07
 40/128 [========>.....................] - ETA: 0s - loss: 2.4651e-07
 77/128 [=================>............] - ETA: 0s - loss: 2.4812e-07
116/128 [==========================>...] - ETA: 0s - loss: 2.5444e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.4796e-07
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 2.9985e-07
 40/128 [========>.....................] - ETA: 0s - loss: 2.3350e-07
 80/128 [=================>............] - ETA: 0s - loss: 2.2739e-07
117/128 [==========================>...] - ETA: 0s - loss: 2.2608e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.2622e-07
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.9938e-07
 42/128 [========>.....................] - ETA: 0s - loss: 2.2776e-07
 80/128 [=================>............] - ETA: 0s - loss: 2.1649e-07
114/128 [=========================>....] - ETA: 0s - loss: 2.0800e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.0675e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 8.2068e-08
 36/128 [=======>......................] - ETA: 0s - loss: 1.8458e-07
 77/128 [=================>............] - ETA: 0s - loss: 1.7782e-07
116/128 [==========================>...] - ETA: 0s - loss: 1.9055e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.8945e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 1.7004e-07
 39/128 [========>.....................] - ETA: 0s - loss: 1.5722e-07
 78/128 [=================>............] - ETA: 0s - loss: 1.8400e-07
118/128 [==========================>...] - ETA: 0s - loss: 1.7443e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.7402e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 2.1206e-07
 40/128 [========>.....................] - ETA: 0s - loss: 1.9715e-07
 75/128 [================>.............] - ETA: 0s - loss: 1.6714e-07
115/128 [=========================>....] - ETA: 0s - loss: 1.5707e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.6031e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 2.1318e-07
 39/128 [========>.....................] - ETA: 0s - loss: 1.4962e-07
 76/128 [================>.............] - ETA: 0s - loss: 1.3735e-07
114/128 [=========================>....] - ETA: 0s - loss: 1.5028e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.4789e-07
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 1
KNN fn, tp: 0, 11
KNN f1 score: 0.957
KNN cohens kappa score: 0.955


------ Step 3/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 20s - loss: 1.6506e-08
 41/128 [========>.....................] - ETA: 0s - loss: 2.9773e-08 
 78/128 [=================>............] - ETA: 0s - loss: 2.9764e-08
120/128 [===========================>..] - ETA: 0s - loss: 0.0072    
128/128 [==============================] - 0s 1ms/step - loss: 0.0069
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 3.1446e-04
 38/128 [=======>......................] - ETA: 0s - loss: 5.3862e-05
 79/128 [=================>............] - ETA: 0s - loss: 2.7983e-05
116/128 [==========================>...] - ETA: 0s - loss: 2.0037e-05
128/128 [==============================] - 0s 1ms/step - loss: 1.8538e-05
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 2.9488e-06
 40/128 [========>.....................] - ETA: 0s - loss: 2.6107e-06
 79/128 [=================>............] - ETA: 0s - loss: 2.3662e-06
120/128 [===========================>..] - ETA: 0s - loss: 2.2034e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.1631e-06
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.3588e-06
 37/128 [=======>......................] - ETA: 0s - loss: 1.6760e-06
 77/128 [=================>............] - ETA: 0s - loss: 1.5579e-06
112/128 [=========================>....] - ETA: 0s - loss: 1.4661e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.4596e-06
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.5308e-06
 41/128 [========>.....................] - ETA: 0s - loss: 1.1672e-06
 78/128 [=================>............] - ETA: 0s - loss: 1.1730e-06
119/128 [==========================>...] - ETA: 0s - loss: 1.0935e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.0711e-06
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 7.2565e-07
 41/128 [========>.....................] - ETA: 0s - loss: 9.2382e-07
 76/128 [================>.............] - ETA: 0s - loss: 9.0005e-07
105/128 [=======================>......] - ETA: 0s - loss: 8.4419e-07
128/128 [==============================] - 0s 1ms/step - loss: 8.2840e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 6.6050e-07
 36/128 [=======>......................] - ETA: 0s - loss: 6.6008e-07
 73/128 [================>.............] - ETA: 0s - loss: 6.7840e-07
106/128 [=======================>......] - ETA: 0s - loss: 6.6207e-07
128/128 [==============================] - 0s 1ms/step - loss: 6.6396e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 6.6969e-07
 41/128 [========>.....................] - ETA: 0s - loss: 6.2800e-07
 78/128 [=================>............] - ETA: 0s - loss: 5.8012e-07
119/128 [==========================>...] - ETA: 0s - loss: 5.4650e-07
128/128 [==============================] - 0s 1ms/step - loss: 5.4614e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 4.5073e-07
 39/128 [========>.....................] - ETA: 0s - loss: 5.1221e-07
 79/128 [=================>............] - ETA: 0s - loss: 4.7380e-07
117/128 [==========================>...] - ETA: 0s - loss: 4.6302e-07
128/128 [==============================] - 0s 1ms/step - loss: 4.5688e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 2.1691e-07
 42/128 [========>.....................] - ETA: 0s - loss: 3.9218e-07
 80/128 [=================>............] - ETA: 0s - loss: 3.9789e-07
120/128 [===========================>..] - ETA: 0s - loss: 3.8754e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.8825e-07
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 3/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 19s - loss: 2.4716e-06
 42/128 [========>.....................] - ETA: 0s - loss: 3.9917e-06 
 83/128 [==================>...........] - ETA: 0s - loss: 3.8964e-06
123/128 [===========================>..] - ETA: 0s - loss: 3.7950e-06
128/128 [==============================] - 0s 1ms/step - loss: 3.8059e-06
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 2.9633e-06
 41/128 [========>.....................] - ETA: 0s - loss: 3.4516e-06
 82/128 [==================>...........] - ETA: 0s - loss: 3.4178e-06
122/128 [===========================>..] - ETA: 0s - loss: 3.4002e-06
128/128 [==============================] - 0s 1ms/step - loss: 3.4111e-06
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 3.4189e-06
 40/128 [========>.....................] - ETA: 0s - loss: 3.2074e-06
 80/128 [=================>............] - ETA: 0s - loss: 3.1421e-06
121/128 [===========================>..] - ETA: 0s - loss: 3.1111e-06
128/128 [==============================] - 0s 1ms/step - loss: 3.0658e-06
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 2.1566e-06
 43/128 [=========>....................] - ETA: 0s - loss: 2.7577e-06
 83/128 [==================>...........] - ETA: 0s - loss: 2.7864e-06
124/128 [============================>.] - ETA: 0s - loss: 2.7598e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.7619e-06
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 2.9052e-06
 41/128 [========>.....................] - ETA: 0s - loss: 2.6163e-06
 81/128 [=================>............] - ETA: 0s - loss: 2.5296e-06
121/128 [===========================>..] - ETA: 0s - loss: 2.4875e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.4964e-06
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 2.4710e-06
 38/128 [=======>......................] - ETA: 0s - loss: 2.2401e-06
 78/128 [=================>............] - ETA: 0s - loss: 2.2678e-06
112/128 [=========================>....] - ETA: 0s - loss: 2.2487e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.2610e-06
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 2.7842e-06
 42/128 [========>.....................] - ETA: 0s - loss: 2.1976e-06
 80/128 [=================>............] - ETA: 0s - loss: 2.1076e-06
121/128 [===========================>..] - ETA: 0s - loss: 2.0496e-06
128/128 [==============================] - 0s 1ms/step - loss: 2.0500e-06
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 2.6894e-06
 42/128 [========>.....................] - ETA: 0s - loss: 1.9735e-06
 80/128 [=================>............] - ETA: 0s - loss: 1.9399e-06
119/128 [==========================>...] - ETA: 0s - loss: 1.8612e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.8631e-06
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 1.1410e-06
 42/128 [========>.....................] - ETA: 0s - loss: 1.7551e-06
 81/128 [=================>............] - ETA: 0s - loss: 1.7312e-06
120/128 [===========================>..] - ETA: 0s - loss: 1.6924e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.6947e-06
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.8346e-06
 41/128 [========>.....................] - ETA: 0s - loss: 1.5432e-06
 76/128 [================>.............] - ETA: 0s - loss: 1.5302e-06
110/128 [========================>.....] - ETA: 0s - loss: 1.5432e-06
128/128 [==============================] - 0s 1ms/step - loss: 1.5421e-06
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 3/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 20s - loss: 235.2566
 42/128 [========>.....................] - ETA: 0s - loss: 17.7902  
 83/128 [==================>...........] - ETA: 0s - loss: 9.0024 
124/128 [============================>.] - ETA: 0s - loss: 6.1460
128/128 [==============================] - 0s 1ms/step - loss: 6.0002
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 8.2609e-09
 40/128 [========>.....................] - ETA: 0s - loss: 3.3767e-04
 82/128 [==================>...........] - ETA: 0s - loss: 3.3540e-04
120/128 [===========================>..] - ETA: 0s - loss: 3.4310e-04
128/128 [==============================] - 0s 1ms/step - loss: 3.3887e-04
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 3.1606e-04
 35/128 [=======>......................] - ETA: 0s - loss: 2.7872e-04
 67/128 [==============>...............] - ETA: 0s - loss: 3.0191e-04
 99/128 [======================>.......] - ETA: 0s - loss: 2.8957e-04
128/128 [==============================] - 0s 2ms/step - loss: 2.9013e-04
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.3955e-04
 41/128 [========>.....................] - ETA: 0s - loss: 3.1439e-04
 80/128 [=================>............] - ETA: 0s - loss: 2.5882e-04
120/128 [===========================>..] - ETA: 0s - loss: 2.6038e-04
128/128 [==============================] - 0s 1ms/step - loss: 2.5871e-04
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.2547e-04
 40/128 [========>.....................] - ETA: 0s - loss: 2.6179e-04
 79/128 [=================>............] - ETA: 0s - loss: 2.2941e-04
117/128 [==========================>...] - ETA: 0s - loss: 2.3604e-04
128/128 [==============================] - 0s 1ms/step - loss: 2.3255e-04
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.1639e-06
 38/128 [=======>......................] - ETA: 0s - loss: 2.1471e-04
 78/128 [=================>............] - ETA: 0s - loss: 2.0966e-04
116/128 [==========================>...] - ETA: 0s - loss: 2.1541e-04
128/128 [==============================] - 0s 1ms/step - loss: 2.1039e-04
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 2.0480e-04
 42/128 [========>.....................] - ETA: 0s - loss: 1.5239e-04
 82/128 [==================>...........] - ETA: 0s - loss: 1.8294e-04
119/128 [==========================>...] - ETA: 0s - loss: 1.8949e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.9067e-04
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 2.7924e-04
 35/128 [=======>......................] - ETA: 0s - loss: 1.7942e-04
 70/128 [===============>..............] - ETA: 0s - loss: 1.7948e-04
108/128 [========================>.....] - ETA: 0s - loss: 1.7454e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.7317e-04
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 3.3892e-04
 42/128 [========>.....................] - ETA: 0s - loss: 1.6992e-04
 81/128 [=================>............] - ETA: 0s - loss: 1.7893e-04
120/128 [===========================>..] - ETA: 0s - loss: 1.5743e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.5717e-04
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 2.3198e-04
 39/128 [========>.....................] - ETA: 0s - loss: 1.4100e-04
 79/128 [=================>............] - ETA: 0s - loss: 1.4115e-04
117/128 [==========================>...] - ETA: 0s - loss: 1.4607e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.4340e-04
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 3/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1228 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 20s - loss: 78.5023
 42/128 [========>.....................] - ETA: 0s - loss: 3.1497  
 81/128 [=================>............] - ETA: 0s - loss: 1.6333
122/128 [===========================>..] - ETA: 0s - loss: 1.0845
128/128 [==============================] - 0s 1ms/step - loss: 1.0402
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 1.9709e-04
 35/128 [=======>......................] - ETA: 0s - loss: 2.2211e-04
 76/128 [================>.............] - ETA: 0s - loss: 2.2394e-04
116/128 [==========================>...] - ETA: 0s - loss: 2.1519e-04
128/128 [==============================] - 0s 1ms/step - loss: 2.1213e-04
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 3.0739e-04
 42/128 [========>.....................] - ETA: 0s - loss: 1.8737e-04
 82/128 [==================>...........] - ETA: 0s - loss: 1.7588e-04
122/128 [===========================>..] - ETA: 0s - loss: 1.7517e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.7099e-04
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 5.0248e-04
 42/128 [========>.....................] - ETA: 0s - loss: 1.4282e-04
 82/128 [==================>...........] - ETA: 0s - loss: 1.4073e-04
122/128 [===========================>..] - ETA: 0s - loss: 1.3837e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.4097e-04
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 0.0000e+00
 42/128 [========>.....................] - ETA: 0s - loss: 1.5880e-04
 81/128 [=================>............] - ETA: 0s - loss: 1.2805e-04
119/128 [==========================>...] - ETA: 0s - loss: 1.1920e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.1776e-04
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.9478e-37
 41/128 [========>.....................] - ETA: 0s - loss: 9.3258e-05
 77/128 [=================>............] - ETA: 0s - loss: 9.2549e-05
113/128 [=========================>....] - ETA: 0s - loss: 0.0120    
128/128 [==============================] - 0s 1ms/step - loss: 0.0107
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 2.8036e-04
 40/128 [========>.....................] - ETA: 0s - loss: 1.3240e-04
 81/128 [=================>............] - ETA: 0s - loss: 1.0753e-04
121/128 [===========================>..] - ETA: 0s - loss: 1.1344e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.0991e-04
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 8.4251e-05
 41/128 [========>.....................] - ETA: 0s - loss: 1.1139e-04
 81/128 [=================>............] - ETA: 0s - loss: 1.0984e-04
113/128 [=========================>....] - ETA: 0s - loss: 1.0213e-04
128/128 [==============================] - 0s 1ms/step - loss: 9.8558e-05
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 1.5223e-04
 33/128 [======>.......................] - ETA: 0s - loss: 9.8116e-05
 69/128 [===============>..............] - ETA: 0s - loss: 9.5777e-05
109/128 [========================>.....] - ETA: 0s - loss: 9.1379e-05
128/128 [==============================] - 0s 1ms/step - loss: 8.9314e-05
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 3.7948e-08
 42/128 [========>.....................] - ETA: 0s - loss: 8.9726e-05
 79/128 [=================>............] - ETA: 0s - loss: 8.1496e-05
119/128 [==========================>...] - ETA: 0s - loss: 8.2574e-05
128/128 [==============================] - 0s 1ms/step - loss: 8.1783e-05
-> test with GAN.predict
GAN tn, fp: 317, 0
GAN fn, tp: 0, 9
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 317, 0
LR fn, tp: 0, 9
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 317, 0
RF fn, tp: 0, 9
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 317, 0
GB fn, tp: 0, 9
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 0
KNN fn, tp: 0, 9
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


====== Step 4/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 4/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 21s - loss: 88.0266
 42/128 [========>.....................] - ETA: 0s - loss: 3.4223  
 79/128 [=================>............] - ETA: 0s - loss: 1.8195
120/128 [===========================>..] - ETA: 0s - loss: 1.1979
128/128 [==============================] - 0s 1ms/step - loss: 1.1310
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 6.3586e-12
 39/128 [========>.....................] - ETA: 0s - loss: 1.2066e-04
 80/128 [=================>............] - ETA: 0s - loss: 1.0631e-04
119/128 [==========================>...] - ETA: 0s - loss: 1.0125e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.0052e-04
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 9.0368e-05
 42/128 [========>.....................] - ETA: 0s - loss: 9.4227e-05
 84/128 [==================>...........] - ETA: 0s - loss: 9.0022e-05
121/128 [===========================>..] - ETA: 0s - loss: 8.7774e-05
128/128 [==============================] - 0s 1ms/step - loss: 8.6655e-05
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.5656e-04
 33/128 [======>.......................] - ETA: 0s - loss: 9.3272e-05
 67/128 [==============>...............] - ETA: 0s - loss: 8.4631e-05
105/128 [=======================>......] - ETA: 0s - loss: 7.5839e-05
128/128 [==============================] - 0s 1ms/step - loss: 7.5782e-05
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 6.4767e-14
 40/128 [========>.....................] - ETA: 0s - loss: 6.9033e-05
 79/128 [=================>............] - ETA: 0s - loss: 6.6899e-05
117/128 [==========================>...] - ETA: 0s - loss: 6.3289e-05
128/128 [==============================] - 0s 1ms/step - loss: 6.6409e-05
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.1075e-15
 39/128 [========>.....................] - ETA: 0s - loss: 5.6191e-05
 76/128 [================>.............] - ETA: 0s - loss: 6.1045e-05
116/128 [==========================>...] - ETA: 0s - loss: 5.9763e-05
128/128 [==============================] - 0s 1ms/step - loss: 5.8312e-05
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 1.5850e-04
 41/128 [========>.....................] - ETA: 0s - loss: 6.4334e-05
 80/128 [=================>............] - ETA: 0s - loss: 5.7081e-05
120/128 [===========================>..] - ETA: 0s - loss: 5.2749e-05
128/128 [==============================] - 0s 1ms/step - loss: 5.1271e-05
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 4.6529e-05
 40/128 [========>.....................] - ETA: 0s - loss: 5.0318e-05
 80/128 [=================>............] - ETA: 0s - loss: 4.7154e-05
121/128 [===========================>..] - ETA: 0s - loss: 4.6211e-05
128/128 [==============================] - 0s 1ms/step - loss: 4.5294e-05
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 1.8667e-19
 42/128 [========>.....................] - ETA: 0s - loss: 4.4252e-05
 83/128 [==================>...........] - ETA: 0s - loss: 4.1106e-05
122/128 [===========================>..] - ETA: 0s - loss: 3.9292e-05
128/128 [==============================] - 0s 1ms/step - loss: 4.0015e-05
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.1588e-20
 39/128 [========>.....................] - ETA: 0s - loss: 4.2065e-05
 80/128 [=================>............] - ETA: 0s - loss: 3.6336e-05
120/128 [===========================>..] - ETA: 0s - loss: 3.5220e-05
128/128 [==============================] - 0s 1ms/step - loss: 3.5272e-05
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 1
KNN fn, tp: 0, 11
KNN f1 score: 0.957
KNN cohens kappa score: 0.955


------ Step 4/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 24s - loss: 4.8101e-07
 28/128 [=====>........................] - ETA: 0s - loss: 2.8452e-06 
 56/128 [============>.................] - ETA: 0s - loss: 1.8062e-06
 87/128 [===================>..........] - ETA: 0s - loss: 1.5203e-06
117/128 [==========================>...] - ETA: 0s - loss: 1.3607e-06
128/128 [==============================] - 0s 2ms/step - loss: 1.3116e-06
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 3.8413e-06
 31/128 [======>.......................] - ETA: 0s - loss: 8.1716e-07
 48/128 [==========>...................] - ETA: 0s - loss: 9.1891e-07
 71/128 [===============>..............] - ETA: 0s - loss: 8.1667e-07
101/128 [======================>.......] - ETA: 0s - loss: 7.7610e-07
128/128 [==============================] - 0s 2ms/step - loss: 1.1810e-06
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 8.7515e-07
 32/128 [======>.......................] - ETA: 0s - loss: 7.9449e-07
 60/128 [=============>................] - ETA: 0s - loss: 6.8034e-07
 93/128 [====================>.........] - ETA: 0s - loss: 6.6228e-07
127/128 [============================>.] - ETA: 0s - loss: 1.0671e-06
128/128 [==============================] - 0s 2ms/step - loss: 1.0665e-06
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 7.2639e-07
 32/128 [======>.......................] - ETA: 0s - loss: 7.1542e-07
 66/128 [==============>...............] - ETA: 0s - loss: 6.2472e-07
 96/128 [=====================>........] - ETA: 0s - loss: 1.0579e-06
128/128 [==============================] - 0s 2ms/step - loss: 9.6445e-07
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 3.1212e-07
 38/128 [=======>......................] - ETA: 0s - loss: 1.5537e-06
 77/128 [=================>............] - ETA: 0s - loss: 1.0658e-06
110/128 [========================>.....] - ETA: 0s - loss: 9.1411e-07
128/128 [==============================] - 0s 1ms/step - loss: 8.7220e-07
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 4.8279e-07
 33/128 [======>.......................] - ETA: 0s - loss: 5.5859e-07
 67/128 [==============>...............] - ETA: 0s - loss: 1.1062e-06
101/128 [======================>.......] - ETA: 0s - loss: 8.7879e-07
128/128 [==============================] - 0s 2ms/step - loss: 7.8859e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 4.6167e-07
 33/128 [======>.......................] - ETA: 0s - loss: 4.9929e-07
 65/128 [==============>...............] - ETA: 0s - loss: 4.7425e-07
 99/128 [======================>.......] - ETA: 0s - loss: 7.7653e-07
127/128 [============================>.] - ETA: 0s - loss: 7.1097e-07
128/128 [==============================] - 0s 2ms/step - loss: 7.1134e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 3.4092e-07
 32/128 [======>.......................] - ETA: 0s - loss: 4.2516e-07
 67/128 [==============>...............] - ETA: 0s - loss: 4.5640e-07
103/128 [=======================>......] - ETA: 0s - loss: 4.7547e-07
128/128 [==============================] - 0s 2ms/step - loss: 6.3940e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 2.3220e-07
 37/128 [=======>......................] - ETA: 0s - loss: 4.0863e-07
 71/128 [===============>..............] - ETA: 0s - loss: 4.2687e-07
105/128 [=======================>......] - ETA: 0s - loss: 6.3668e-07
128/128 [==============================] - 0s 1ms/step - loss: 5.7411e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 4.2397e-07
 39/128 [========>.....................] - ETA: 0s - loss: 4.2655e-07
 77/128 [=================>............] - ETA: 0s - loss: 3.6015e-07
115/128 [=========================>....] - ETA: 0s - loss: 5.3001e-07
128/128 [==============================] - 0s 1ms/step - loss: 5.1593e-07
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 4/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 22s - loss: 3.4442e-08
 41/128 [========>.....................] - ETA: 0s - loss: 3.2073e-08 
 81/128 [=================>............] - ETA: 0s - loss: 3.8749e-08
118/128 [==========================>...] - ETA: 0s - loss: 3.7943e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.6944e-08
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 2.3021e-08
 32/128 [======>.......................] - ETA: 0s - loss: 2.4670e-08
 66/128 [==============>...............] - ETA: 0s - loss: 2.5755e-08
105/128 [=======================>......] - ETA: 0s - loss: 3.0431e-08
128/128 [==============================] - 0s 1ms/step - loss: 3.0182e-08
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 3.7443e-08
 41/128 [========>.....................] - ETA: 0s - loss: 3.7268e-08
 81/128 [=================>............] - ETA: 0s - loss: 2.9908e-08
120/128 [===========================>..] - ETA: 0s - loss: 2.6113e-08
128/128 [==============================] - 0s 1ms/step - loss: 2.6144e-08
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.9881e-08
 42/128 [========>.....................] - ETA: 0s - loss: 2.0182e-08
 82/128 [==================>...........] - ETA: 0s - loss: 2.1099e-08
122/128 [===========================>..] - ETA: 0s - loss: 2.3969e-08
128/128 [==============================] - 0s 1ms/step - loss: 2.3691e-08
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 9.6765e-09
 42/128 [========>.....................] - ETA: 0s - loss: 3.2313e-08
 82/128 [==================>...........] - ETA: 0s - loss: 2.4812e-08
122/128 [===========================>..] - ETA: 0s - loss: 2.2130e-08
128/128 [==============================] - 0s 1ms/step - loss: 2.1809e-08
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.4389e-08
 42/128 [========>.....................] - ETA: 0s - loss: 1.8372e-08
 83/128 [==================>...........] - ETA: 0s - loss: 1.6453e-08
123/128 [===========================>..] - ETA: 0s - loss: 2.0491e-08
128/128 [==============================] - 0s 1ms/step - loss: 2.0329e-08
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 1.5622e-08
 38/128 [=======>......................] - ETA: 0s - loss: 1.5838e-08
 75/128 [================>.............] - ETA: 0s - loss: 1.4645e-08
114/128 [=========================>....] - ETA: 0s - loss: 1.4442e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.9102e-08
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 1.4594e-08
 41/128 [========>.....................] - ETA: 0s - loss: 1.3668e-08
 81/128 [=================>............] - ETA: 0s - loss: 2.0375e-08
121/128 [===========================>..] - ETA: 0s - loss: 1.8347e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.8048e-08
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 9.5695e-09
 41/128 [========>.....................] - ETA: 0s - loss: 1.2387e-08
 81/128 [=================>............] - ETA: 0s - loss: 1.2446e-08
120/128 [===========================>..] - ETA: 0s - loss: 1.7650e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.7199e-08
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.3870e-08
 41/128 [========>.....................] - ETA: 0s - loss: 1.1337e-08
 82/128 [==================>...........] - ETA: 0s - loss: 1.8902e-08
122/128 [===========================>..] - ETA: 0s - loss: 1.6564e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.6447e-08
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 4/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 22s - loss: 1.7184e-08
 37/128 [=======>......................] - ETA: 0s - loss: 4.7070e-08 
 78/128 [=================>............] - ETA: 0s - loss: 3.3983e-08
114/128 [=========================>....] - ETA: 0s - loss: 3.1161e-08
128/128 [==============================] - 0s 1ms/step - loss: 2.9656e-08
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 1.3957e-08
 34/128 [======>.......................] - ETA: 0s - loss: 1.9367e-08
 67/128 [==============>...............] - ETA: 0s - loss: 2.6507e-08
103/128 [=======================>......] - ETA: 0s - loss: 2.3415e-08
128/128 [==============================] - 0s 1ms/step - loss: 2.2401e-08
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 6.6676e-09
 37/128 [=======>......................] - ETA: 0s - loss: 1.5104e-08
 76/128 [================>.............] - ETA: 0s - loss: 2.2661e-08
110/128 [========================>.....] - ETA: 0s - loss: 1.9727e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.8814e-08
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 5.7863e-09
 38/128 [=======>......................] - ETA: 0s - loss: 2.9410e-08
 74/128 [================>.............] - ETA: 0s - loss: 2.1074e-08
113/128 [=========================>....] - ETA: 0s - loss: 1.7673e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.6827e-08
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.2877e-08
 41/128 [========>.....................] - ETA: 0s - loss: 9.3491e-09
 77/128 [=================>............] - ETA: 0s - loss: 1.0461e-08
117/128 [==========================>...] - ETA: 0s - loss: 1.5484e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.5326e-08
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 4.8657e-09
 36/128 [=======>......................] - ETA: 0s - loss: 2.5912e-08
 73/128 [================>.............] - ETA: 0s - loss: 1.6865e-08
107/128 [========================>.....] - ETA: 0s - loss: 1.5241e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.4239e-08
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 8.3400e-09
 40/128 [========>.....................] - ETA: 0s - loss: 8.9617e-09
 74/128 [================>.............] - ETA: 0s - loss: 8.3184e-09
114/128 [=========================>....] - ETA: 0s - loss: 1.4180e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.3436e-08
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 5.6068e-09
 36/128 [=======>......................] - ETA: 0s - loss: 8.9783e-09
 75/128 [================>.............] - ETA: 0s - loss: 1.6450e-08
111/128 [=========================>....] - ETA: 0s - loss: 1.3685e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.2832e-08
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 7.6180e-09
 36/128 [=======>......................] - ETA: 0s - loss: 8.6971e-09
 76/128 [================>.............] - ETA: 0s - loss: 7.6708e-09
115/128 [=========================>....] - ETA: 0s - loss: 7.6135e-09
128/128 [==============================] - 0s 1ms/step - loss: 1.2321e-08
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.5977e-08
 39/128 [========>.....................] - ETA: 0s - loss: 7.1795e-09
 80/128 [=================>............] - ETA: 0s - loss: 6.8972e-09
122/128 [===========================>..] - ETA: 0s - loss: 1.2163e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.1847e-08
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 4/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1228 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 21s - loss: 1.7968e-06
 40/128 [========>.....................] - ETA: 0s - loss: 0.0017     
 81/128 [=================>............] - ETA: 0s - loss: 0.0012
122/128 [===========================>..] - ETA: 0s - loss: 0.0014
128/128 [==============================] - 0s 1ms/step - loss: 0.0016
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 1.2522e-06
 41/128 [========>.....................] - ETA: 0s - loss: 0.0016    
 75/128 [================>.............] - ETA: 0s - loss: 8.8529e-04
114/128 [=========================>....] - ETA: 0s - loss: 0.0014    
128/128 [==============================] - 0s 1ms/step - loss: 0.0016
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 7.4200e-08
 35/128 [=======>......................] - ETA: 0s - loss: 0.0019    
 70/128 [===============>..............] - ETA: 0s - loss: 0.0014
106/128 [=======================>......] - ETA: 0s - loss: 0.0015
128/128 [==============================] - 0s 1ms/step - loss: 0.0015
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 3.1727e-08
 40/128 [========>.....................] - ETA: 0s - loss: 0.0040    
 80/128 [=================>............] - ETA: 0s - loss: 0.0020
120/128 [===========================>..] - ETA: 0s - loss: 0.0016
128/128 [==============================] - 0s 1ms/step - loss: 0.0015
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.6300e-08
 43/128 [=========>....................] - ETA: 0s - loss: 0.0015    
 82/128 [==================>...........] - ETA: 0s - loss: 0.0015
123/128 [===========================>..] - ETA: 0s - loss: 0.0015
128/128 [==============================] - 0s 1ms/step - loss: 0.0015
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 8.5326e-09
 42/128 [========>.....................] - ETA: 0s - loss: 7.2542e-04
 83/128 [==================>...........] - ETA: 0s - loss: 0.0011    
123/128 [===========================>..] - ETA: 0s - loss: 0.0012
128/128 [==============================] - 0s 1ms/step - loss: 0.0014
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 0.0297
 41/128 [========>.....................] - ETA: 0s - loss: 0.0022
 81/128 [=================>............] - ETA: 0s - loss: 0.0015
121/128 [===========================>..] - ETA: 0s - loss: 0.0012
128/128 [==============================] - 0s 1ms/step - loss: 0.0014
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 2.4977e-09
 40/128 [========>.....................] - ETA: 0s - loss: 0.0014    
 79/128 [=================>............] - ETA: 0s - loss: 0.0014
120/128 [===========================>..] - ETA: 0s - loss: 0.0014
128/128 [==============================] - 0s 1ms/step - loss: 0.0013
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 7.9950e-10
 41/128 [========>.....................] - ETA: 0s - loss: 0.0013    
 81/128 [=================>............] - ETA: 0s - loss: 0.0010
121/128 [===========================>..] - ETA: 0s - loss: 0.0011
128/128 [==============================] - 0s 1ms/step - loss: 0.0013
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 0.0264
 39/128 [========>.....................] - ETA: 0s - loss: 0.0013
 79/128 [=================>............] - ETA: 0s - loss: 9.9141e-04
119/128 [==========================>...] - ETA: 0s - loss: 0.0013    
128/128 [==============================] - 0s 1ms/step - loss: 0.0012
-> test with GAN.predict
GAN tn, fp: 317, 0
GAN fn, tp: 0, 9
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 317, 0
LR fn, tp: 0, 9
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 317, 0
RF fn, tp: 0, 9
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 317, 0
GB fn, tp: 0, 9
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 316, 1
KNN fn, tp: 0, 9
KNN f1 score: 0.947
KNN cohens kappa score: 0.946


====== Step 5/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 5/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 20s - loss: 2.5369e-09
 39/128 [========>.....................] - ETA: 0s - loss: 3.8608e-09 
 80/128 [=================>............] - ETA: 0s - loss: 1.4327e-08
119/128 [==========================>...] - ETA: 0s - loss: 1.0673e-08
128/128 [==============================] - 0s 1ms/step - loss: 1.0170e-08
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 5.5606e-09
 41/128 [========>.....................] - ETA: 0s - loss: 3.0073e-09
 81/128 [=================>............] - ETA: 0s - loss: 1.3705e-08
120/128 [===========================>..] - ETA: 0s - loss: 1.0234e-08
128/128 [==============================] - 0s 1ms/step - loss: 9.7902e-09
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 2.3074e-09
 39/128 [========>.....................] - ETA: 0s - loss: 2.5959e-09
 79/128 [=================>............] - ETA: 0s - loss: 2.4500e-09
119/128 [==========================>...] - ETA: 0s - loss: 1.0033e-08
128/128 [==============================] - 0s 1ms/step - loss: 9.4836e-09
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.0689e-09
 40/128 [========>.....................] - ETA: 0s - loss: 2.4564e-08
 79/128 [=================>............] - ETA: 0s - loss: 1.3324e-08
118/128 [==========================>...] - ETA: 0s - loss: 9.7722e-09
128/128 [==============================] - 0s 1ms/step - loss: 9.2345e-09
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 2.3253e-09
 39/128 [========>.....................] - ETA: 0s - loss: 2.1466e-09
 79/128 [=================>............] - ETA: 0s - loss: 2.2452e-09
118/128 [==========================>...] - ETA: 0s - loss: 2.1115e-09
128/128 [==============================] - 0s 1ms/step - loss: 9.0351e-09
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 2.6784e-09
 39/128 [========>.....................] - ETA: 0s - loss: 2.4456e-08
 79/128 [=================>............] - ETA: 0s - loss: 1.3243e-08
115/128 [=========================>....] - ETA: 0s - loss: 9.6463e-09
128/128 [==============================] - 0s 1ms/step - loss: 8.8736e-09
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 2.4278e-10
 41/128 [========>.....................] - ETA: 0s - loss: 2.3422e-08
 79/128 [=================>............] - ETA: 0s - loss: 1.2962e-08
120/128 [===========================>..] - ETA: 0s - loss: 9.0990e-09
128/128 [==============================] - 0s 1ms/step - loss: 8.7287e-09
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 7.6210e-11
 42/128 [========>.....................] - ETA: 0s - loss: 1.8424e-09
 77/128 [=================>............] - ETA: 0s - loss: 1.8086e-09
110/128 [========================>.....] - ETA: 0s - loss: 1.6944e-09
128/128 [==============================] - 0s 1ms/step - loss: 8.6065e-09
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 1.0314e-09
 40/128 [========>.....................] - ETA: 0s - loss: 1.7332e-09
 80/128 [=================>............] - ETA: 0s - loss: 1.2545e-08
121/128 [===========================>..] - ETA: 0s - loss: 8.8692e-09
128/128 [==============================] - 0s 1ms/step - loss: 8.5005e-09
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.0882e-09
 41/128 [========>.....................] - ETA: 0s - loss: 1.5610e-09
 80/128 [=================>............] - ETA: 0s - loss: 1.2453e-08
118/128 [==========================>...] - ETA: 0s - loss: 8.9397e-09
128/128 [==============================] - 0s 1ms/step - loss: 8.4028e-09
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 317, 1
LR fn, tp: 0, 11
LR f1 score: 0.957
LR cohens kappa score: 0.955
LR average precision score: 0.917

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 317, 1
KNN fn, tp: 0, 11
KNN f1 score: 0.957
KNN cohens kappa score: 0.955


------ Step 5/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 35s - loss: 1.1455e-06
 26/128 [=====>........................] - ETA: 0s - loss: 1.3849e-06 
 49/128 [==========>...................] - ETA: 0s - loss: 1.5280e-06
 73/128 [================>.............] - ETA: 0s - loss: 1.2868e-06
 99/128 [======================>.......] - ETA: 0s - loss: 1.4991e-06
125/128 [============================>.] - ETA: 0s - loss: 1.4991e-06
128/128 [==============================] - 1s 2ms/step - loss: 1.4882e-06
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 5.1774e-07
 27/128 [=====>........................] - ETA: 0s - loss: 1.0303e-06
 53/128 [===========>..................] - ETA: 0s - loss: 1.2457e-06
 78/128 [=================>............] - ETA: 0s - loss: 1.1660e-06
 97/128 [=====================>........] - ETA: 0s - loss: 1.2321e-06
112/128 [=========================>....] - ETA: 0s - loss: 1.1584e-06
128/128 [==============================] - 0s 2ms/step - loss: 1.1575e-06
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 6.8440e-07
 18/128 [===>..........................] - ETA: 0s - loss: 6.5678e-07
 35/128 [=======>......................] - ETA: 0s - loss: 6.4482e-07
 49/128 [==========>...................] - ETA: 0s - loss: 7.5631e-07
 71/128 [===============>..............] - ETA: 0s - loss: 8.8190e-07
 92/128 [====================>.........] - ETA: 0s - loss: 9.9529e-07
114/128 [=========================>....] - ETA: 0s - loss: 1.0041e-06
128/128 [==============================] - ETA: 0s - loss: 9.4893e-07
128/128 [==============================] - 0s 3ms/step - loss: 9.4893e-07
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 4.7978e-07
 13/128 [==>...........................] - ETA: 0s - loss: 9.6574e-07
 29/128 [=====>........................] - ETA: 0s - loss: 8.6907e-07
 47/128 [==========>...................] - ETA: 0s - loss: 1.1496e-06
 63/128 [=============>................] - ETA: 0s - loss: 1.1493e-06
 80/128 [=================>............] - ETA: 0s - loss: 1.0057e-06
 98/128 [=====================>........] - ETA: 0s - loss: 8.9727e-07
113/128 [=========================>....] - ETA: 0s - loss: 8.4307e-07
128/128 [==============================] - 0s 3ms/step - loss: 8.0202e-07
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 5.4558e-07
 12/128 [=>............................] - ETA: 0s - loss: 5.6640e-07
 18/128 [===>..........................] - ETA: 0s - loss: 5.2752e-07
 25/128 [====>.........................] - ETA: 0s - loss: 6.5723e-07
 33/128 [======>.......................] - ETA: 0s - loss: 7.3189e-07
 48/128 [==========>...................] - ETA: 0s - loss: 7.2003e-07
 63/128 [=============>................] - ETA: 0s - loss: 7.2064e-07
 80/128 [=================>............] - ETA: 0s - loss: 7.5302e-07
 97/128 [=====================>........] - ETA: 0s - loss: 7.7643e-07
116/128 [==========================>...] - ETA: 0s - loss: 7.2014e-07
128/128 [==============================] - 1s 4ms/step - loss: 6.8896e-07
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 2.9636e-07
 17/128 [==>...........................] - ETA: 0s - loss: 6.4373e-07
 33/128 [======>.......................] - ETA: 0s - loss: 6.6894e-07
 50/128 [==========>...................] - ETA: 0s - loss: 7.8056e-07
 66/128 [==============>...............] - ETA: 0s - loss: 7.7363e-07
 81/128 [=================>............] - ETA: 0s - loss: 7.5209e-07
100/128 [======================>.......] - ETA: 0s - loss: 6.7234e-07
123/128 [===========================>..] - ETA: 0s - loss: 6.0816e-07
128/128 [==============================] - 0s 3ms/step - loss: 6.0239e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 3.3816e-06
 23/128 [====>.........................] - ETA: 0s - loss: 7.9111e-07
 44/128 [=========>....................] - ETA: 0s - loss: 5.8457e-07
 67/128 [==============>...............] - ETA: 0s - loss: 4.9670e-07
 84/128 [==================>...........] - ETA: 0s - loss: 4.9766e-07
102/128 [======================>.......] - ETA: 0s - loss: 5.2401e-07
123/128 [===========================>..] - ETA: 0s - loss: 5.3686e-07
128/128 [==============================] - 0s 3ms/step - loss: 5.3085e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 2.7340e-07
 16/128 [==>...........................] - ETA: 0s - loss: 6.2685e-07
 33/128 [======>.......................] - ETA: 0s - loss: 4.8289e-07
 46/128 [=========>....................] - ETA: 0s - loss: 4.5022e-07
 54/128 [===========>..................] - ETA: 0s - loss: 4.2910e-07
 66/128 [==============>...............] - ETA: 0s - loss: 4.0709e-07
 80/128 [=================>............] - ETA: 0s - loss: 4.9227e-07
 96/128 [=====================>........] - ETA: 0s - loss: 4.5848e-07
114/128 [=========================>....] - ETA: 0s - loss: 4.5467e-07
128/128 [==============================] - 0s 4ms/step - loss: 4.7157e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 4.9117e-07
 16/128 [==>...........................] - ETA: 0s - loss: 7.5255e-07
 26/128 [=====>........................] - ETA: 0s - loss: 5.6676e-07
 43/128 [=========>....................] - ETA: 0s - loss: 4.6109e-07
 60/128 [=============>................] - ETA: 0s - loss: 4.7727e-07
 83/128 [==================>...........] - ETA: 0s - loss: 4.1618e-07
113/128 [=========================>....] - ETA: 0s - loss: 4.1314e-07
128/128 [==============================] - 0s 3ms/step - loss: 4.2283e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 6.3226e-07
 33/128 [======>.......................] - ETA: 0s - loss: 3.6676e-07
 62/128 [=============>................] - ETA: 0s - loss: 3.2240e-07
 88/128 [===================>..........] - ETA: 0s - loss: 3.4464e-07
117/128 [==========================>...] - ETA: 0s - loss: 3.6619e-07
128/128 [==============================] - 0s 2ms/step - loss: 3.8092e-07
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 5/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 22s - loss: 3.7249e-08
 42/128 [========>.....................] - ETA: 0s - loss: 3.1686e-08 
 78/128 [=================>............] - ETA: 0s - loss: 1.1435e-07
118/128 [==========================>...] - ETA: 0s - loss: 8.4596e-08
128/128 [==============================] - 0s 1ms/step - loss: 8.0341e-08
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 1.5990e-08
 42/128 [========>.....................] - ETA: 0s - loss: 2.2575e-08
 82/128 [==================>...........] - ETA: 0s - loss: 1.0197e-07
123/128 [===========================>..] - ETA: 0s - loss: 7.3407e-08
128/128 [==============================] - 0s 1ms/step - loss: 7.1643e-08
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 2.5617e-08
 41/128 [========>.....................] - ETA: 0s - loss: 1.7676e-07
 83/128 [==================>...........] - ETA: 0s - loss: 9.5156e-08
124/128 [============================>.] - ETA: 0s - loss: 6.8161e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.7044e-08
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.6305e-08
 42/128 [========>.....................] - ETA: 0s - loss: 1.3581e-08
 79/128 [=================>............] - ETA: 0s - loss: 1.2945e-08
117/128 [==========================>...] - ETA: 0s - loss: 6.8768e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.4526e-08
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 7.4339e-09
 40/128 [========>.....................] - ETA: 0s - loss: 1.1958e-08
 81/128 [=================>............] - ETA: 0s - loss: 9.2709e-08
122/128 [===========================>..] - ETA: 0s - loss: 6.5156e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.3000e-08
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 4.9683e-09
 43/128 [=========>....................] - ETA: 0s - loss: 1.0344e-08
 83/128 [==================>...........] - ETA: 0s - loss: 8.9690e-08
124/128 [============================>.] - ETA: 0s - loss: 6.3119e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.1888e-08
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 1.1992e-08
 41/128 [========>.....................] - ETA: 0s - loss: 9.1430e-09
 83/128 [==================>...........] - ETA: 0s - loss: 8.8182e-08
124/128 [============================>.] - ETA: 0s - loss: 6.2266e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.0967e-08
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 9.6700e-09
 42/128 [========>.....................] - ETA: 0s - loss: 9.2795e-09
 78/128 [=================>............] - ETA: 0s - loss: 8.8690e-09
115/128 [=========================>....] - ETA: 0s - loss: 6.5754e-08
128/128 [==============================] - 0s 1ms/step - loss: 6.0198e-08
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 5.9641e-09
 41/128 [========>.....................] - ETA: 0s - loss: 7.9564e-09
 80/128 [=================>............] - ETA: 0s - loss: 8.9553e-08
119/128 [==========================>...] - ETA: 0s - loss: 6.3117e-08
128/128 [==============================] - 0s 1ms/step - loss: 5.9548e-08
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 7.3882e-09
 41/128 [========>.....................] - ETA: 0s - loss: 1.6753e-07
 81/128 [=================>............] - ETA: 0s - loss: 8.8406e-08
120/128 [===========================>..] - ETA: 0s - loss: 6.2132e-08
128/128 [==============================] - 0s 1ms/step - loss: 5.9005e-08
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 5/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1229 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 22s - loss: 2.9707e-07
 41/128 [========>.....................] - ETA: 0s - loss: 4.4659e-07 
 79/128 [=================>............] - ETA: 0s - loss: 4.1024e-07
117/128 [==========================>...] - ETA: 0s - loss: 3.8601e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.7662e-07
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 3.2724e-07
 40/128 [========>.....................] - ETA: 0s - loss: 3.3977e-07
 78/128 [=================>............] - ETA: 0s - loss: 3.2347e-07
118/128 [==========================>...] - ETA: 0s - loss: 3.1927e-07
128/128 [==============================] - 0s 1ms/step - loss: 3.1413e-07
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 1.9309e-07
 40/128 [========>.....................] - ETA: 0s - loss: 3.3486e-07
 79/128 [=================>............] - ETA: 0s - loss: 2.8217e-07
117/128 [==========================>...] - ETA: 0s - loss: 2.6750e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.6710e-07
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 2.6802e-07
 40/128 [========>.....................] - ETA: 0s - loss: 2.1084e-07
 78/128 [=================>............] - ETA: 0s - loss: 2.2047e-07
119/128 [==========================>...] - ETA: 0s - loss: 2.2360e-07
128/128 [==============================] - 0s 1ms/step - loss: 2.2903e-07
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.4937e-07
 42/128 [========>.....................] - ETA: 0s - loss: 2.1922e-07
 82/128 [==================>...........] - ETA: 0s - loss: 2.0475e-07
122/128 [===========================>..] - ETA: 0s - loss: 2.0041e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.9806e-07
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 1.4835e-07
 40/128 [========>.....................] - ETA: 0s - loss: 1.8625e-07
 80/128 [=================>............] - ETA: 0s - loss: 1.6138e-07
119/128 [==========================>...] - ETA: 0s - loss: 1.7189e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.7213e-07
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 8.4992e-08
 41/128 [========>.....................] - ETA: 0s - loss: 1.5377e-07
 80/128 [=================>............] - ETA: 0s - loss: 1.4663e-07
119/128 [==========================>...] - ETA: 0s - loss: 1.5355e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.5037e-07
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 1.5227e-07
 40/128 [========>.....................] - ETA: 0s - loss: 1.2917e-07
 77/128 [=================>............] - ETA: 0s - loss: 1.3139e-07
116/128 [==========================>...] - ETA: 0s - loss: 1.3068e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.3175e-07
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 7.4076e-08
 41/128 [========>.....................] - ETA: 0s - loss: 1.1740e-07
 81/128 [=================>............] - ETA: 0s - loss: 1.1675e-07
120/128 [===========================>..] - ETA: 0s - loss: 1.1758e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.1643e-07
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 7.1309e-07
 41/128 [========>.....................] - ETA: 0s - loss: 1.1506e-07
 80/128 [=================>............] - ETA: 0s - loss: 1.0945e-07
119/128 [==========================>...] - ETA: 0s - loss: 1.0556e-07
128/128 [==============================] - 0s 1ms/step - loss: 1.0338e-07
-> test with GAN.predict
GAN tn, fp: 318, 0
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 318, 0
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 318, 0
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 318, 0
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 5/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1228 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/128 [..............................] - ETA: 25s - loss: 1.0279e-04
 44/128 [=========>....................] - ETA: 0s - loss: 1.0081e-04 
 87/128 [===================>..........] - ETA: 0s - loss: 0.0198    
128/128 [==============================] - 0s 1ms/step - loss: 0.5033
Epoch 2/10

  1/128 [..............................] - ETA: 0s - loss: 2.1047e-04
 42/128 [========>.....................] - ETA: 0s - loss: 2.1470e-04
 84/128 [==================>...........] - ETA: 0s - loss: 1.9651e-04
125/128 [============================>.] - ETA: 0s - loss: 0.0986    
128/128 [==============================] - 0s 1ms/step - loss: 0.0971
Epoch 3/10

  1/128 [..............................] - ETA: 0s - loss: 0.0208
 38/128 [=======>......................] - ETA: 0s - loss: 0.0011
 76/128 [================>.............] - ETA: 0s - loss: 6.2399e-04
114/128 [=========================>....] - ETA: 0s - loss: 4.6533e-04
128/128 [==============================] - 0s 1ms/step - loss: 4.3096e-04
Epoch 4/10

  1/128 [..............................] - ETA: 0s - loss: 1.5922e-04
 37/128 [=======>......................] - ETA: 0s - loss: 1.3141e-04
 74/128 [================>.............] - ETA: 0s - loss: 1.3492e-04
111/128 [=========================>....] - ETA: 0s - loss: 1.4726e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.3514e-04
Epoch 5/10

  1/128 [..............................] - ETA: 0s - loss: 1.3846e-04
 38/128 [=======>......................] - ETA: 0s - loss: 1.5061e-04
 75/128 [================>.............] - ETA: 0s - loss: 1.2172e-04
112/128 [=========================>....] - ETA: 0s - loss: 1.1782e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.1831e-04
Epoch 6/10

  1/128 [..............................] - ETA: 0s - loss: 2.4464e-04
 37/128 [=======>......................] - ETA: 0s - loss: 1.1713e-04
 74/128 [================>.............] - ETA: 0s - loss: 1.1024e-04
110/128 [========================>.....] - ETA: 0s - loss: 1.1074e-04
128/128 [==============================] - 0s 1ms/step - loss: 1.0435e-04
Epoch 7/10

  1/128 [..............................] - ETA: 0s - loss: 1.0772e-04
 38/128 [=======>......................] - ETA: 0s - loss: 1.0630e-04
 74/128 [================>.............] - ETA: 0s - loss: 1.0313e-04
111/128 [=========================>....] - ETA: 0s - loss: 9.1937e-05
128/128 [==============================] - 0s 1ms/step - loss: 9.2295e-05
Epoch 8/10

  1/128 [..............................] - ETA: 0s - loss: 9.4985e-05
 28/128 [=====>........................] - ETA: 0s - loss: 6.6933e-05
 61/128 [=============>................] - ETA: 0s - loss: 7.0638e-05
 98/128 [=====================>........] - ETA: 0s - loss: 7.8019e-05
128/128 [==============================] - 0s 2ms/step - loss: 7.8470e-05
Epoch 9/10

  1/128 [..............................] - ETA: 0s - loss: 2.3513e-04
 38/128 [=======>......................] - ETA: 0s - loss: 8.0011e-05
 75/128 [================>.............] - ETA: 0s - loss: 6.8255e-05
112/128 [=========================>....] - ETA: 0s - loss: 6.7026e-05
128/128 [==============================] - 0s 1ms/step - loss: 6.4672e-05
Epoch 10/10

  1/128 [..............................] - ETA: 0s - loss: 1.9258e-11
 39/128 [========>.....................] - ETA: 0s - loss: 4.7101e-05
 74/128 [================>.............] - ETA: 0s - loss: 5.2566e-05
111/128 [=========================>....] - ETA: 0s - loss: 5.1553e-05
128/128 [==============================] - 0s 1ms/step - loss: 5.3642e-05
-> test with GAN.predict
GAN tn, fp: 315, 2
GAN fn, tp: 0, 9
GAN f1 score: 0.900
GAN cohens kappa score: 0.897

-> test with 'LR'
LR tn, fp: 316, 1
LR fn, tp: 0, 9
LR f1 score: 0.947
LR cohens kappa score: 0.946
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 317, 0
RF fn, tp: 0, 9
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 315, 2
GB fn, tp: 0, 9
GB f1 score: 0.900
GB cohens kappa score: 0.897

-> test with 'KNN'
KNN tn, fp: 315, 2
KNN fn, tp: 0, 9
KNN f1 score: 0.900
KNN cohens kappa score: 0.897

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 318, 1
LR fn, tp: 0, 11
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000


average:
LR tn, fp: 317.68, 0.12
LR fn, tp: 0.0, 10.6
LR f1 score: 0.994
LR cohens kappa score: 0.994
LR average precision score: 0.997


minimum:
LR tn, fp: 316, 0
LR fn, tp: 0, 9
LR f1 score: 0.947
LR cohens kappa score: 0.946
LR average precision score: 0.917


-----[ RF ]-----
maximum:
RF tn, fp: 318, 0
RF fn, tp: 0, 11
RF f1 score: 1.000
RF cohens kappa score: 1.000


average:
RF tn, fp: 317.8, 0.0
RF fn, tp: 0.0, 10.6
RF f1 score: 1.000
RF cohens kappa score: 1.000


minimum:
RF tn, fp: 317, 0
RF fn, tp: 0, 9
RF f1 score: 1.000
RF cohens kappa score: 1.000


-----[ GB ]-----
maximum:
GB tn, fp: 318, 2
GB fn, tp: 0, 11
GB f1 score: 1.000
GB cohens kappa score: 1.000


average:
GB tn, fp: 317.72, 0.08
GB fn, tp: 0.0, 10.6
GB f1 score: 0.996
GB cohens kappa score: 0.996


minimum:
GB tn, fp: 315, 0
GB fn, tp: 0, 9
GB f1 score: 0.900
GB cohens kappa score: 0.897


-----[ KNN ]-----
maximum:
KNN tn, fp: 318, 2
KNN fn, tp: 0, 11
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


average:
KNN tn, fp: 317.48, 0.32
KNN fn, tp: 0.0, 10.6
KNN f1 score: 0.985
KNN cohens kappa score: 0.985


minimum:
KNN tn, fp: 315, 0
KNN fn, tp: 0, 9
KNN f1 score: 0.900
KNN cohens kappa score: 0.897


-----[ GAN ]-----
maximum:
GAN tn, fp: 318, 2
GAN fn, tp: 0, 11
GAN f1 score: 1.000
GAN cohens kappa score: 1.000


average:
GAN tn, fp: 317.72, 0.08
GAN fn, tp: 0.0, 10.6
GAN f1 score: 0.996
GAN cohens kappa score: 0.996


minimum:
GAN tn, fp: 315, 0
GAN fn, tp: 0, 9
GAN f1 score: 0.900
GAN cohens kappa score: 0.897