ConvGeNBenchmarkResults/data_result/convGAN-majority-full/folding_kr-vs-k-three_vs_eleven.log

///////////////////////////////////////////
// Running convGAN-majority-full on folding_kr-vs-k-three_vs_eleven
///////////////////////////////////////////

Load 'data_input/folding_kr-vs-k-three_vs_eleven'
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 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 35s - loss: 2.1653e-10
 37/229 [===>..........................] - ETA: 0s - loss: 1.5668e-06 
 73/229 [========>.....................] - ETA: 0s - loss: 1.7554e-05
113/229 [=============>................] - ETA: 0s - loss: 0.0034    
152/229 [==================>...........] - ETA: 0s - loss: 0.0025
193/229 [========================>.....] - ETA: 0s - loss: 0.0020
229/229 [==============================] - 0s 1ms/step - loss: 0.0017
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 1.5602e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.3373e-05
 82/229 [=========>....................] - ETA: 0s - loss: 5.4627e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.7758e-04
162/229 [====================>.........] - ETA: 0s - loss: 3.0624e-04
202/229 [=========================>....] - ETA: 0s - loss: 2.4637e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1800e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 5.6221e-11
 42/229 [====>.........................] - ETA: 0s - loss: 4.3414e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.1774e-05
125/229 [===============>..............] - ETA: 0s - loss: 8.2204e-06
165/229 [====================>.........] - ETA: 0s - loss: 1.3247e-05
206/229 [=========================>....] - ETA: 0s - loss: 1.0621e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0185e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 3.6887e-04
 37/229 [===>..........................] - ETA: 0s - loss: 1.0753e-05
 69/229 [========>.....................] - ETA: 0s - loss: 5.8833e-06
101/229 [============>.................] - ETA: 0s - loss: 5.4773e-06
140/229 [=================>............] - ETA: 0s - loss: 8.7038e-06
179/229 [======================>.......] - ETA: 0s - loss: 7.0331e-06
220/229 [===========================>..] - ETA: 0s - loss: 6.1172e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.8951e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.2538e-10
 42/229 [====>.........................] - ETA: 0s - loss: 7.9002e-07
 83/229 [=========>....................] - ETA: 0s - loss: 1.3285e-06
123/229 [===============>..............] - ETA: 0s - loss: 2.8823e-06
163/229 [====================>.........] - ETA: 0s - loss: 5.1520e-06
204/229 [=========================>....] - ETA: 0s - loss: 4.5603e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.2923e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.2532e-10
 41/229 [====>.........................] - ETA: 0s - loss: 1.0039e-05
 83/229 [=========>....................] - ETA: 0s - loss: 5.2040e-06
123/229 [===============>..............] - ETA: 0s - loss: 4.4424e-06
165/229 [====================>.........] - ETA: 0s - loss: 4.5518e-06
206/229 [=========================>....] - ETA: 0s - loss: 3.6757e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.5038e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 7.4032e-11
 41/229 [====>.........................] - ETA: 0s - loss: 3.7923e-07
 81/229 [=========>....................] - ETA: 0s - loss: 2.1986e-06
121/229 [==============>...............] - ETA: 0s - loss: 4.2606e-06
163/229 [====================>.........] - ETA: 0s - loss: 3.9232e-06
202/229 [=========================>....] - ETA: 0s - loss: 3.2006e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.0125e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 3.5768e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.4506e-06
 80/229 [=========>....................] - ETA: 0s - loss: 5.3084e-06
120/229 [==============>...............] - ETA: 0s - loss: 4.1929e-06
160/229 [===================>..........] - ETA: 0s - loss: 3.2830e-06
199/229 [=========================>....] - ETA: 0s - loss: 3.0707e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.7393e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 3.5889e-10
 42/229 [====>.........................] - ETA: 0s - loss: 5.6693e-06
 83/229 [=========>....................] - ETA: 0s - loss: 3.2320e-06
124/229 [===============>..............] - ETA: 0s - loss: 2.8396e-06
165/229 [====================>.........] - ETA: 0s - loss: 2.1751e-06
206/229 [=========================>....] - ETA: 0s - loss: 2.7515e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.4986e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 6.9710e-11
 41/229 [====>.........................] - ETA: 0s - loss: 9.9660e-07
 83/229 [=========>....................] - ETA: 0s - loss: 2.0055e-06
124/229 [===============>..............] - ETA: 0s - loss: 2.1189e-06
165/229 [====================>.........] - ETA: 0s - loss: 1.8003e-06
205/229 [=========================>....] - ETA: 0s - loss: 2.5907e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.3375e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 1, 16
LR f1 score: 0.970
LR cohens kappa score: 0.969
LR average precision score: 0.997

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 1/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 35s - loss: 1.0174e-10
 42/229 [====>.........................] - ETA: 0s - loss: 0.0036     
 83/229 [=========>....................] - ETA: 0s - loss: 0.0027
122/229 [==============>...............] - ETA: 0s - loss: 0.0018
163/229 [====================>.........] - ETA: 0s - loss: 0.0014
202/229 [=========================>....] - ETA: 0s - loss: 0.0021
229/229 [==============================] - 0s 1ms/step - loss: 0.0019
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 8.9445e-10
 43/229 [====>.........................] - ETA: 0s - loss: 0.0019    
 84/229 [==========>...................] - ETA: 0s - loss: 9.9791e-04
124/229 [===============>..............] - ETA: 0s - loss: 6.7704e-04
162/229 [====================>.........] - ETA: 0s - loss: 5.1868e-04
199/229 [=========================>....] - ETA: 0s - loss: 4.2269e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.6853e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 7.8288e-09
 39/229 [====>.........................] - ETA: 0s - loss: 1.8100e-04
 79/229 [=========>....................] - ETA: 0s - loss: 1.0219e-04
117/229 [==============>...............] - ETA: 0s - loss: 6.9102e-05
159/229 [===================>..........] - ETA: 0s - loss: 5.0996e-05
201/229 [=========================>....] - ETA: 0s - loss: 4.2229e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.7268e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 8.9368e-08
 42/229 [====>.........................] - ETA: 0s - loss: 2.9445e-05
 84/229 [==========>...................] - ETA: 0s - loss: 2.0032e-05
126/229 [===============>..............] - ETA: 0s - loss: 1.3570e-05
170/229 [=====================>........] - ETA: 0s - loss: 1.2332e-05
210/229 [==========================>...] - ETA: 0s - loss: 1.0992e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0133e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.8817e-10
 43/229 [====>.........................] - ETA: 0s - loss: 4.4876e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.4341e-05
125/229 [===============>..............] - ETA: 0s - loss: 9.7839e-06
167/229 [====================>.........] - ETA: 0s - loss: 8.8573e-06
208/229 [==========================>...] - ETA: 0s - loss: 7.3599e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.9665e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 7.3402e-11
 40/229 [====>.........................] - ETA: 0s - loss: 6.1048e-06
 82/229 [=========>....................] - ETA: 0s - loss: 5.1272e-06
124/229 [===============>..............] - ETA: 0s - loss: 8.4561e-06
166/229 [====================>.........] - ETA: 0s - loss: 8.9312e-06
208/229 [==========================>...] - ETA: 0s - loss: 7.2516e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.6290e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 4.9478e-11
 42/229 [====>.........................] - ETA: 0s - loss: 6.9414e-06
 84/229 [==========>...................] - ETA: 0s - loss: 5.7238e-06
125/229 [===============>..............] - ETA: 0s - loss: 8.5765e-06
161/229 [====================>.........] - ETA: 0s - loss: 6.8810e-06
197/229 [========================>.....] - ETA: 0s - loss: 5.7494e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.6810e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 2.9824e-11
 43/229 [====>.........................] - ETA: 0s - loss: 6.3279e-06
 82/229 [=========>....................] - ETA: 0s - loss: 4.1960e-06
123/229 [===============>..............] - ETA: 0s - loss: 4.0643e-06
164/229 [====================>.........] - ETA: 0s - loss: 4.4618e-06
206/229 [=========================>....] - ETA: 0s - loss: 3.6029e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.9183e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 9.0593e-11
 40/229 [====>.........................] - ETA: 0s - loss: 6.1478e-06
 81/229 [=========>....................] - ETA: 0s - loss: 7.0044e-06
122/229 [==============>...............] - ETA: 0s - loss: 5.4770e-06
161/229 [====================>.........] - ETA: 0s - loss: 5.1169e-06
200/229 [=========================>....] - ETA: 0s - loss: 4.7519e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.3244e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 2.4224e-10
 39/229 [====>.........................] - ETA: 0s - loss: 1.0416e-06
 81/229 [=========>....................] - ETA: 0s - loss: 1.8830e-06
122/229 [==============>...............] - ETA: 0s - loss: 2.9440e-06
163/229 [====================>.........] - ETA: 0s - loss: 2.2915e-06
203/229 [=========================>....] - ETA: 0s - loss: 3.9718e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.9088e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 1, 16
LR f1 score: 0.970
LR cohens kappa score: 0.969
LR average precision score: 0.997

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 1, 16
RF f1 score: 0.970
RF cohens kappa score: 0.969

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 571, 0
KNN fn, tp: 0, 17
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 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 34s - loss: 3.8923e-10
 42/229 [====>.........................] - ETA: 0s - loss: 0.0053     
 84/229 [==========>...................] - ETA: 0s - loss: 0.0032
125/229 [===============>..............] - ETA: 0s - loss: 0.0027
164/229 [====================>.........] - ETA: 0s - loss: 0.0034
206/229 [=========================>....] - ETA: 0s - loss: 0.0028
229/229 [==============================] - 0s 1ms/step - loss: 0.0026
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 5.2603e-11
 42/229 [====>.........................] - ETA: 0s - loss: 1.1063e-04
 82/229 [=========>....................] - ETA: 0s - loss: 8.2208e-05
123/229 [===============>..............] - ETA: 0s - loss: 7.0409e-05
163/229 [====================>.........] - ETA: 0s - loss: 5.4553e-05
204/229 [=========================>....] - ETA: 0s - loss: 4.4869e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.0223e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 3.1164e-07
 43/229 [====>.........................] - ETA: 0s - loss: 4.5115e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.6978e-05
123/229 [===============>..............] - ETA: 0s - loss: 1.6278e-05
163/229 [====================>.........] - ETA: 0s - loss: 2.5496e-05
204/229 [=========================>....] - ETA: 0s - loss: 2.4749e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.4238e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 2.3785e-05
 41/229 [====>.........................] - ETA: 0s - loss: 3.2315e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.7561e-05
124/229 [===============>..............] - ETA: 0s - loss: 1.5772e-05
165/229 [====================>.........] - ETA: 0s - loss: 1.3937e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.2053e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.0037e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 4.0413e-11
 31/229 [===>..........................] - ETA: 0s - loss: 6.1555e-06
 67/229 [=======>......................] - ETA: 0s - loss: 4.5000e-06
108/229 [=============>................] - ETA: 0s - loss: 1.2281e-05
147/229 [==================>...........] - ETA: 0s - loss: 2.0483e-05
186/229 [=======================>......] - ETA: 0s - loss: 1.9646e-05
225/229 [============================>.] - ETA: 0s - loss: 1.7693e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.7437e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.2153e-11
 39/229 [====>.........................] - ETA: 0s - loss: 3.9847e-06
 80/229 [=========>....................] - ETA: 0s - loss: 1.5216e-05
120/229 [==============>...............] - ETA: 0s - loss: 1.5041e-05
161/229 [====================>.........] - ETA: 0s - loss: 1.3485e-05
199/229 [=========================>....] - ETA: 0s - loss: 1.1225e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.5402e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 4.0149e-11
 42/229 [====>.........................] - ETA: 0s - loss: 2.9039e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.3991e-05
124/229 [===============>..............] - ETA: 0s - loss: 1.2352e-05
166/229 [====================>.........] - ETA: 0s - loss: 1.8667e-05
207/229 [==========================>...] - ETA: 0s - loss: 1.5908e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4547e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 8.9964e-09
 39/229 [====>.........................] - ETA: 0s - loss: 2.5384e-05
 77/229 [=========>....................] - ETA: 0s - loss: 1.6957e-05
116/229 [==============>...............] - ETA: 0s - loss: 1.1742e-05
156/229 [===================>..........] - ETA: 0s - loss: 1.3402e-05
194/229 [========================>.....] - ETA: 0s - loss: 1.5315e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3309e-05
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 7.1102e-09
 42/229 [====>.........................] - ETA: 0s - loss: 2.2422e-05
 81/229 [=========>....................] - ETA: 0s - loss: 1.4215e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.7034e-05
159/229 [===================>..........] - ETA: 0s - loss: 1.4359e-05
201/229 [=========================>....] - ETA: 0s - loss: 1.3919e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2299e-05
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 4.9968e-11
 40/229 [====>.........................] - ETA: 0s - loss: 8.4437e-06
 81/229 [=========>....................] - ETA: 0s - loss: 6.0050e-06
121/229 [==============>...............] - ETA: 0s - loss: 1.1041e-05
162/229 [====================>.........] - ETA: 0s - loss: 9.5449e-06
203/229 [=========================>....] - ETA: 0s - loss: 1.0826e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.1587e-05
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 571, 0
KNN fn, tp: 0, 17
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 1/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 36s - loss: 2.5435e-08
 43/229 [====>.........................] - ETA: 0s - loss: 9.1888e-06 
 81/229 [=========>....................] - ETA: 0s - loss: 5.6551e-06
122/229 [==============>...............] - ETA: 0s - loss: 4.7175e-06
163/229 [====================>.........] - ETA: 0s - loss: 4.6483e-06
203/229 [=========================>....] - ETA: 0s - loss: 4.0293e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.8884e-06
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 1.9154e-08
 43/229 [====>.........................] - ETA: 0s - loss: 6.9401e-07
 85/229 [==========>...................] - ETA: 0s - loss: 1.4416e-06
127/229 [===============>..............] - ETA: 0s - loss: 2.4364e-06
169/229 [=====================>........] - ETA: 0s - loss: 1.8638e-06
210/229 [==========================>...] - ETA: 0s - loss: 1.5328e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.6226e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 1.4689e-08
 43/229 [====>.........................] - ETA: 0s - loss: 1.3079e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.2042e-06
124/229 [===============>..............] - ETA: 0s - loss: 1.2123e-06
164/229 [====================>.........] - ETA: 0s - loss: 1.4067e-06
204/229 [=========================>....] - ETA: 0s - loss: 1.2330e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.1802e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 5.7867e-07
 41/229 [====>.........................] - ETA: 0s - loss: 5.2526e-07
 83/229 [=========>....................] - ETA: 0s - loss: 1.3211e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.0871e-06
164/229 [====================>.........] - ETA: 0s - loss: 1.2066e-06
204/229 [=========================>....] - ETA: 0s - loss: 1.0153e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0556e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 2.9226e-09
 43/229 [====>.........................] - ETA: 0s - loss: 1.0271e-06
 83/229 [=========>....................] - ETA: 0s - loss: 7.1784e-07
123/229 [===============>..............] - ETA: 0s - loss: 5.8941e-07
165/229 [====================>.........] - ETA: 0s - loss: 6.3452e-07
206/229 [=========================>....] - ETA: 0s - loss: 8.1759e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.9359e-07
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.2880e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.3096e-06
 78/229 [=========>....................] - ETA: 0s - loss: 1.4499e-06
114/229 [=============>................] - ETA: 0s - loss: 1.0918e-06
153/229 [===================>..........] - ETA: 0s - loss: 9.5546e-07
195/229 [========================>.....] - ETA: 0s - loss: 9.5050e-07
229/229 [==============================] - 0s 1ms/step - loss: 9.1526e-07
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 2.8617e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.3965e-07
 82/229 [=========>....................] - ETA: 0s - loss: 5.0365e-07
122/229 [==============>...............] - ETA: 0s - loss: 4.9609e-07
163/229 [====================>.........] - ETA: 0s - loss: 5.6909e-07
204/229 [=========================>....] - ETA: 0s - loss: 6.2397e-07
229/229 [==============================] - 0s 1ms/step - loss: 6.1794e-07
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 5.5536e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.2756e-07
 80/229 [=========>....................] - ETA: 0s - loss: 4.2134e-07
122/229 [==============>...............] - ETA: 0s - loss: 3.8416e-07
161/229 [====================>.........] - ETA: 0s - loss: 3.5399e-07
203/229 [=========================>....] - ETA: 0s - loss: 5.0470e-07
229/229 [==============================] - 0s 1ms/step - loss: 5.3832e-07
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 4.0914e-08
 42/229 [====>.........................] - ETA: 0s - loss: 5.2315e-07
 83/229 [=========>....................] - ETA: 0s - loss: 5.3217e-07
124/229 [===============>..............] - ETA: 0s - loss: 3.9586e-07
165/229 [====================>.........] - ETA: 0s - loss: 3.3282e-07
206/229 [=========================>....] - ETA: 0s - loss: 3.8597e-07
229/229 [==============================] - 0s 1ms/step - loss: 4.9372e-07
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 4.4752e-06
 43/229 [====>.........................] - ETA: 0s - loss: 7.7096e-07
 84/229 [==========>...................] - ETA: 0s - loss: 7.5249e-07
125/229 [===============>..............] - ETA: 0s - loss: 5.7973e-07
165/229 [====================>.........] - ETA: 0s - loss: 4.4911e-07
204/229 [=========================>....] - ETA: 0s - loss: 4.3779e-07
229/229 [==============================] - 0s 1ms/step - loss: 4.1461e-07
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 570, 1
LR fn, tp: 0, 17
LR f1 score: 0.971
LR cohens kappa score: 0.971
LR average precision score: 0.997

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 567, 4
KNN fn, tp: 0, 17
KNN f1 score: 0.895
KNN cohens kappa score: 0.891


------ Step 1/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2216 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 45s - loss: 1.3813e-09
 40/229 [====>.........................] - ETA: 0s - loss: 0.0102     
 80/229 [=========>....................] - ETA: 0s - loss: 0.0085
121/229 [==============>...............] - ETA: 0s - loss: 0.0056
159/229 [===================>..........] - ETA: 0s - loss: 0.0043
200/229 [=========================>....] - ETA: 0s - loss: 0.0034
229/229 [==============================] - 0s 1ms/step - loss: 0.0030
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 1.1779e-10
 42/229 [====>.........................] - ETA: 0s - loss: 2.8644e-05
 83/229 [=========>....................] - ETA: 0s - loss: 2.6170e-04
123/229 [===============>..............] - ETA: 0s - loss: 2.8271e-04
163/229 [====================>.........] - ETA: 0s - loss: 2.1649e-04
204/229 [=========================>....] - ETA: 0s - loss: 1.8565e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.6601e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 9.2069e-11
 42/229 [====>.........................] - ETA: 0s - loss: 1.5548e-05
 83/229 [=========>....................] - ETA: 0s - loss: 2.0593e-05
124/229 [===============>..............] - ETA: 0s - loss: 2.9142e-05
165/229 [====================>.........] - ETA: 0s - loss: 2.7048e-05
205/229 [=========================>....] - ETA: 0s - loss: 2.3523e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.4783e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 9.5589e-11
 39/229 [====>.........................] - ETA: 0s - loss: 4.3254e-05
 73/229 [========>.....................] - ETA: 0s - loss: 5.5888e-05
105/229 [============>.................] - ETA: 0s - loss: 4.2466e-05
138/229 [=================>............] - ETA: 0s - loss: 3.8776e-05
180/229 [======================>.......] - ETA: 0s - loss: 3.6111e-05
220/229 [===========================>..] - ETA: 0s - loss: 3.3559e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.2337e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 2.1963e-08
 42/229 [====>.........................] - ETA: 0s - loss: 8.8498e-05
 82/229 [=========>....................] - ETA: 0s - loss: 5.6051e-05
123/229 [===============>..............] - ETA: 0s - loss: 4.1336e-05
162/229 [====================>.........] - ETA: 0s - loss: 3.3738e-05
201/229 [=========================>....] - ETA: 0s - loss: 2.8029e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.6840e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.3079e-10
 45/229 [====>.........................] - ETA: 0s - loss: 7.4848e-06
 85/229 [==========>...................] - ETA: 0s - loss: 6.3862e-06
126/229 [===============>..............] - ETA: 0s - loss: 2.3042e-05
166/229 [====================>.........] - ETA: 0s - loss: 1.9241e-05
206/229 [=========================>....] - ETA: 0s - loss: 2.0482e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.2854e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 6.9181e-07
 40/229 [====>.........................] - ETA: 0s - loss: 5.0830e-05
 74/229 [========>.....................] - ETA: 0s - loss: 3.2176e-05
108/229 [=============>................] - ETA: 0s - loss: 2.9894e-05
147/229 [==================>...........] - ETA: 0s - loss: 2.4408e-05
188/229 [=======================>......] - ETA: 0s - loss: 2.0272e-05
228/229 [============================>.] - ETA: 0s - loss: 2.0029e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9994e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 6.2384e-07
 41/229 [====>.........................] - ETA: 0s - loss: 1.1195e-05
 81/229 [=========>....................] - ETA: 0s - loss: 8.6632e-06
120/229 [==============>...............] - ETA: 0s - loss: 1.7499e-05
159/229 [===================>..........] - ETA: 0s - loss: 1.5439e-05
198/229 [========================>.....] - ETA: 0s - loss: 1.9268e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.7254e-05
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.4248e-10
 39/229 [====>.........................] - ETA: 0s - loss: 1.6353e-05
 80/229 [=========>....................] - ETA: 0s - loss: 1.6290e-05
120/229 [==============>...............] - ETA: 0s - loss: 1.1357e-05
161/229 [====================>.........] - ETA: 0s - loss: 1.5505e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.2880e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.5766e-05
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 1.0003e-04
 43/229 [====>.........................] - ETA: 0s - loss: 7.4415e-06
 84/229 [==========>...................] - ETA: 0s - loss: 5.8251e-06
124/229 [===============>..............] - ETA: 0s - loss: 5.9358e-06
163/229 [====================>.........] - ETA: 0s - loss: 1.5578e-05
203/229 [=========================>....] - ETA: 0s - loss: 1.5453e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4192e-05
-> test with GAN.predict
GAN tn, fp: 569, 1
GAN fn, tp: 0, 13
GAN f1 score: 0.963
GAN cohens kappa score: 0.962

-> test with 'LR'
LR tn, fp: 566, 4
LR fn, tp: 1, 12
LR f1 score: 0.828
LR cohens kappa score: 0.823
LR average precision score: 0.911

-> test with 'RF'
RF tn, fp: 570, 0
RF fn, tp: 0, 13
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 570, 0
GB fn, tp: 0, 13
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 569, 1
KNN fn, tp: 0, 13
KNN f1 score: 0.963
KNN cohens kappa score: 0.962


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

------ Step 2/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 35s - loss: 1.5476e-09
 40/229 [====>.........................] - ETA: 0s - loss: 0.0018     
 81/229 [=========>....................] - ETA: 0s - loss: 0.0011
121/229 [==============>...............] - ETA: 0s - loss: 0.0020
161/229 [====================>.........] - ETA: 0s - loss: 0.0015
201/229 [=========================>....] - ETA: 0s - loss: 0.0023
229/229 [==============================] - 0s 1ms/step - loss: 0.0020
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 5.1076e-06
 42/229 [====>.........................] - ETA: 0s - loss: 4.4563e-05
 82/229 [=========>....................] - ETA: 0s - loss: 7.0322e-05
123/229 [===============>..............] - ETA: 0s - loss: 4.7162e-05
164/229 [====================>.........] - ETA: 0s - loss: 3.8032e-05
206/229 [=========================>....] - ETA: 0s - loss: 5.4897e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0171e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 0.0026
 41/229 [====>.........................] - ETA: 0s - loss: 8.6396e-05
 79/229 [=========>....................] - ETA: 0s - loss: 5.3294e-05
118/229 [==============>...............] - ETA: 0s - loss: 4.6385e-05
158/229 [===================>..........] - ETA: 0s - loss: 4.0498e-05
192/229 [========================>.....] - ETA: 0s - loss: 3.9865e-05
226/229 [============================>.] - ETA: 0s - loss: 3.4262e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.3926e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 3.1053e-10
 36/229 [===>..........................] - ETA: 0s - loss: 3.6455e-05
 76/229 [========>.....................] - ETA: 0s - loss: 3.1391e-05
118/229 [==============>...............] - ETA: 0s - loss: 2.6533e-05
158/229 [===================>..........] - ETA: 0s - loss: 2.0106e-05
199/229 [=========================>....] - ETA: 0s - loss: 2.3781e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.3104e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 5.9962e-10
 37/229 [===>..........................] - ETA: 0s - loss: 1.1455e-05
 78/229 [=========>....................] - ETA: 0s - loss: 1.6500e-05
118/229 [==============>...............] - ETA: 0s - loss: 1.9794e-05
159/229 [===================>..........] - ETA: 0s - loss: 2.3307e-05
199/229 [=========================>....] - ETA: 0s - loss: 1.8909e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.0837e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 5.0845e-08
 39/229 [====>.........................] - ETA: 0s - loss: 2.8428e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.7685e-05
118/229 [==============>...............] - ETA: 0s - loss: 1.3776e-05
159/229 [===================>..........] - ETA: 0s - loss: 1.5392e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.8737e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9234e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 8.0076e-08
 40/229 [====>.........................] - ETA: 0s - loss: 2.8844e-05
 81/229 [=========>....................] - ETA: 0s - loss: 1.6949e-05
125/229 [===============>..............] - ETA: 0s - loss: 1.7054e-05
166/229 [====================>.........] - ETA: 0s - loss: 1.9874e-05
206/229 [=========================>....] - ETA: 0s - loss: 1.7784e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.6888e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 9.6217e-08
 40/229 [====>.........................] - ETA: 0s - loss: 3.5363e-06
 80/229 [=========>....................] - ETA: 0s - loss: 2.2425e-05
120/229 [==============>...............] - ETA: 0s - loss: 2.1339e-05
161/229 [====================>.........] - ETA: 0s - loss: 1.8005e-05
202/229 [=========================>....] - ETA: 0s - loss: 1.4732e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.7103e-05
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.5386e-04
 42/229 [====>.........................] - ETA: 0s - loss: 1.3623e-05
 82/229 [=========>....................] - ETA: 0s - loss: 7.5829e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.0918e-05
164/229 [====================>.........] - ETA: 0s - loss: 1.5180e-05
202/229 [=========================>....] - ETA: 0s - loss: 1.5924e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.5515e-05
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 1.9041e-10
 36/229 [===>..........................] - ETA: 0s - loss: 1.4285e-05
 74/229 [========>.....................] - ETA: 0s - loss: 1.7706e-05
114/229 [=============>................] - ETA: 0s - loss: 1.4762e-05
152/229 [==================>...........] - ETA: 0s - loss: 1.3050e-05
193/229 [========================>.....] - ETA: 0s - loss: 1.0710e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4061e-05
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 571, 0
KNN fn, tp: 1, 16
KNN f1 score: 0.970
KNN cohens kappa score: 0.969


------ Step 2/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 44s - loss: 1.7069e-10
 40/229 [====>.........................] - ETA: 0s - loss: 0.0017     
 81/229 [=========>....................] - ETA: 0s - loss: 0.0053
122/229 [==============>...............] - ETA: 0s - loss: 0.0035
161/229 [====================>.........] - ETA: 0s - loss: 0.0028
200/229 [=========================>....] - ETA: 0s - loss: 0.0023
229/229 [==============================] - 0s 1ms/step - loss: 0.0020
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 5.8305e-08
 43/229 [====>.........................] - ETA: 0s - loss: 1.5036e-06
 84/229 [==========>...................] - ETA: 0s - loss: 6.3833e-06
122/229 [==============>...............] - ETA: 0s - loss: 5.1298e-06
163/229 [====================>.........] - ETA: 0s - loss: 3.8839e-06
204/229 [=========================>....] - ETA: 0s - loss: 4.2171e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.1783e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 4.1535e-06
 40/229 [====>.........................] - ETA: 0s - loss: 7.1735e-06
 79/229 [=========>....................] - ETA: 0s - loss: 6.9541e-06
120/229 [==============>...............] - ETA: 0s - loss: 4.9584e-06
160/229 [===================>..........] - ETA: 0s - loss: 3.8917e-06
197/229 [========================>.....] - ETA: 0s - loss: 3.5489e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.8484e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 3.7929e-08
 41/229 [====>.........................] - ETA: 0s - loss: 2.1895e-06
 81/229 [=========>....................] - ETA: 0s - loss: 1.3230e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.4584e-06
164/229 [====================>.........] - ETA: 0s - loss: 1.5550e-06
205/229 [=========================>....] - ETA: 0s - loss: 3.6067e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.6203e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 8.7231e-10
 41/229 [====>.........................] - ETA: 0s - loss: 4.7791e-07
 82/229 [=========>....................] - ETA: 0s - loss: 1.2116e-06
123/229 [===============>..............] - ETA: 0s - loss: 2.5558e-06
162/229 [====================>.........] - ETA: 0s - loss: 2.7222e-06
200/229 [=========================>....] - ETA: 0s - loss: 2.8321e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.3691e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.4783e-09
 38/229 [===>..........................] - ETA: 0s - loss: 1.9036e-07
 76/229 [========>.....................] - ETA: 0s - loss: 1.0391e-06
116/229 [==============>...............] - ETA: 0s - loss: 2.5926e-06
155/229 [===================>..........] - ETA: 0s - loss: 3.0125e-06
193/229 [========================>.....] - ETA: 0s - loss: 2.5786e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.1516e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 2.8070e-09
 36/229 [===>..........................] - ETA: 0s - loss: 4.4846e-07
 72/229 [========>.....................] - ETA: 0s - loss: 3.3640e-06
109/229 [=============>................] - ETA: 0s - loss: 2.7301e-06
148/229 [==================>...........] - ETA: 0s - loss: 3.6701e-06
189/229 [=======================>......] - ETA: 0s - loss: 2.9473e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.9633e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 5.0705e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.0532e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.2854e-06
124/229 [===============>..............] - ETA: 0s - loss: 1.6700e-06
165/229 [====================>.........] - ETA: 0s - loss: 3.1499e-06
205/229 [=========================>....] - ETA: 0s - loss: 2.7190e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.8261e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 8.5116e-10
 40/229 [====>.........................] - ETA: 0s - loss: 5.7197e-07
 81/229 [=========>....................] - ETA: 0s - loss: 7.6529e-07
121/229 [==============>...............] - ETA: 0s - loss: 2.4245e-06
162/229 [====================>.........] - ETA: 0s - loss: 2.3617e-06
203/229 [=========================>....] - ETA: 0s - loss: 2.9951e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.6739e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 7.7364e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.7092e-06
 80/229 [=========>....................] - ETA: 0s - loss: 4.1643e-06
118/229 [==============>...............] - ETA: 0s - loss: 2.9299e-06
155/229 [===================>..........] - ETA: 0s - loss: 2.5214e-06
196/229 [========================>.....] - ETA: 0s - loss: 2.5447e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.5032e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 1, 16
LR f1 score: 0.970
LR cohens kappa score: 0.969
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 2/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 35s - loss: 2.3698e-05
 42/229 [====>.........................] - ETA: 0s - loss: 2.4431e-04 
 84/229 [==========>...................] - ETA: 0s - loss: 0.0023    
125/229 [===============>..............] - ETA: 0s - loss: 0.0016
163/229 [====================>.........] - ETA: 0s - loss: 0.0012
203/229 [=========================>....] - ETA: 0s - loss: 0.0012
229/229 [==============================] - 0s 1ms/step - loss: 0.0011
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 2.9136e-10
 41/229 [====>.........................] - ETA: 0s - loss: 6.1585e-06
 80/229 [=========>....................] - ETA: 0s - loss: 6.0525e-05
121/229 [==============>...............] - ETA: 0s - loss: 4.3142e-05
162/229 [====================>.........] - ETA: 0s - loss: 3.5291e-05
202/229 [=========================>....] - ETA: 0s - loss: 2.8365e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.5126e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 6.0119e-10
 42/229 [====>.........................] - ETA: 0s - loss: 2.2496e-07
 84/229 [==========>...................] - ETA: 0s - loss: 2.7168e-07
125/229 [===============>..............] - ETA: 0s - loss: 2.7880e-06
166/229 [====================>.........] - ETA: 0s - loss: 8.9672e-06
207/229 [==========================>...] - ETA: 0s - loss: 8.7385e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.9328e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 2.4333e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.3093e-05
 82/229 [=========>....................] - ETA: 0s - loss: 8.4542e-06
123/229 [===============>..............] - ETA: 0s - loss: 7.8797e-06
164/229 [====================>.........] - ETA: 0s - loss: 7.6452e-06
203/229 [=========================>....] - ETA: 0s - loss: 7.0600e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.8987e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.6982e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.2696e-08
 83/229 [=========>....................] - ETA: 0s - loss: 5.9315e-06
123/229 [===============>..............] - ETA: 0s - loss: 4.5785e-06
164/229 [====================>.........] - ETA: 0s - loss: 7.2126e-06
201/229 [=========================>....] - ETA: 0s - loss: 6.2783e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.1256e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 6.9002e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.5812e-05
 78/229 [=========>....................] - ETA: 0s - loss: 1.0058e-05
119/229 [==============>...............] - ETA: 0s - loss: 6.7402e-06
158/229 [===================>..........] - ETA: 0s - loss: 5.1591e-06
198/229 [========================>.....] - ETA: 0s - loss: 5.0948e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.3283e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 1.4532e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.8883e-06
 84/229 [==========>...................] - ETA: 0s - loss: 4.1296e-06
124/229 [===============>..............] - ETA: 0s - loss: 2.9230e-06
165/229 [====================>.........] - ETA: 0s - loss: 5.4096e-06
205/229 [=========================>....] - ETA: 0s - loss: 5.3027e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.7998e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 4.0758e-05
 40/229 [====>.........................] - ETA: 0s - loss: 1.7330e-06
 81/229 [=========>....................] - ETA: 0s - loss: 3.0869e-06
121/229 [==============>...............] - ETA: 0s - loss: 2.9188e-06
159/229 [===================>..........] - ETA: 0s - loss: 3.2613e-06
200/229 [=========================>....] - ETA: 0s - loss: 4.8431e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.2565e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.3493e-09
 41/229 [====>.........................] - ETA: 0s - loss: 7.2604e-06
 78/229 [=========>....................] - ETA: 0s - loss: 3.9296e-06
116/229 [==============>...............] - ETA: 0s - loss: 3.1303e-06
157/229 [===================>..........] - ETA: 0s - loss: 2.5529e-06
197/229 [========================>.....] - ETA: 0s - loss: 2.8890e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.8226e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 2.3916e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.2512e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.3171e-06
124/229 [===============>..............] - ETA: 0s - loss: 2.6949e-06
165/229 [====================>.........] - ETA: 0s - loss: 2.8505e-06
205/229 [=========================>....] - ETA: 0s - loss: 3.7390e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.4263e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 570, 1
LR fn, tp: 2, 15
LR f1 score: 0.909
LR cohens kappa score: 0.906
LR average precision score: 0.979

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 2, 15
RF f1 score: 0.938
RF cohens kappa score: 0.936

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 2, 15
GB f1 score: 0.938
GB cohens kappa score: 0.936

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 2/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 44s - loss: 6.8135e-07
 42/229 [====>.........................] - ETA: 0s - loss: 0.0030     
 83/229 [=========>....................] - ETA: 0s - loss: 0.0016
122/229 [==============>...............] - ETA: 0s - loss: 0.0011
161/229 [====================>.........] - ETA: 0s - loss: 8.4592e-04
202/229 [=========================>....] - ETA: 0s - loss: 6.9390e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.1403e-04
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 4.4917e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.7241e-06
 83/229 [=========>....................] - ETA: 0s - loss: 8.5075e-04
123/229 [===============>..............] - ETA: 0s - loss: 8.0033e-04
163/229 [====================>.........] - ETA: 0s - loss: 6.1183e-04
200/229 [=========================>....] - ETA: 0s - loss: 4.9883e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.3891e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 4.0766e-09
 35/229 [===>..........................] - ETA: 0s - loss: 4.1412e-07
 70/229 [========>.....................] - ETA: 0s - loss: 3.2017e-07
111/229 [=============>................] - ETA: 0s - loss: 9.1961e-06
151/229 [==================>...........] - ETA: 0s - loss: 7.0273e-06
192/229 [========================>.....] - ETA: 0s - loss: 7.9862e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.3927e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 3.4305e-06
 42/229 [====>.........................] - ETA: 0s - loss: 4.2999e-06
 83/229 [=========>....................] - ETA: 0s - loss: 2.6212e-06
122/229 [==============>...............] - ETA: 0s - loss: 1.9600e-06
162/229 [====================>.........] - ETA: 0s - loss: 1.5523e-06
202/229 [=========================>....] - ETA: 0s - loss: 1.5159e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.3808e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 4.7506e-08
 41/229 [====>.........................] - ETA: 0s - loss: 9.4166e-06
 80/229 [=========>....................] - ETA: 0s - loss: 5.5300e-06
119/229 [==============>...............] - ETA: 0s - loss: 4.8303e-06
154/229 [===================>..........] - ETA: 0s - loss: 3.7353e-06
195/229 [========================>.....] - ETA: 0s - loss: 3.0157e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.6392e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 4.5158e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.4440e-05
 81/229 [=========>....................] - ETA: 0s - loss: 7.8612e-06
122/229 [==============>...............] - ETA: 0s - loss: 5.8708e-06
163/229 [====================>.........] - ETA: 0s - loss: 4.4077e-06
204/229 [=========================>....] - ETA: 0s - loss: 5.3006e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.0140e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 3.0672e-10
 42/229 [====>.........................] - ETA: 0s - loss: 5.6118e-06
 83/229 [=========>....................] - ETA: 0s - loss: 9.3956e-06
123/229 [===============>..............] - ETA: 0s - loss: 6.7909e-06
165/229 [====================>.........] - ETA: 0s - loss: 5.9101e-06
203/229 [=========================>....] - ETA: 0s - loss: 4.9676e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.4831e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 8.0931e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.5040e-07
 82/229 [=========>....................] - ETA: 0s - loss: 6.1757e-06
122/229 [==============>...............] - ETA: 0s - loss: 4.3349e-06
160/229 [===================>..........] - ETA: 0s - loss: 4.6714e-06
200/229 [=========================>....] - ETA: 0s - loss: 4.2121e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.0389e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 5.6657e-10
 41/229 [====>.........................] - ETA: 0s - loss: 5.6607e-07
 82/229 [=========>....................] - ETA: 0s - loss: 1.2184e-06
123/229 [===============>..............] - ETA: 0s - loss: 9.2635e-07
163/229 [====================>.........] - ETA: 0s - loss: 8.0549e-07
198/229 [========================>.....] - ETA: 0s - loss: 7.6119e-07
229/229 [==============================] - 0s 1ms/step - loss: 3.5821e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 1.6451e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.7981e-06
 75/229 [========>.....................] - ETA: 0s - loss: 2.2386e-06
112/229 [=============>................] - ETA: 0s - loss: 4.5060e-06
148/229 [==================>...........] - ETA: 0s - loss: 4.6544e-06
187/229 [=======================>......] - ETA: 0s - loss: 3.9857e-06
227/229 [============================>.] - ETA: 0s - loss: 3.3196e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.3007e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 2, 15
KNN f1 score: 0.909
KNN cohens kappa score: 0.906


------ Step 2/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2216 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 36s - loss: 6.9554e-10
 43/229 [====>.........................] - ETA: 0s - loss: 0.0089     
 81/229 [=========>....................] - ETA: 0s - loss: 0.0048
122/229 [==============>...............] - ETA: 0s - loss: 0.0033
163/229 [====================>.........] - ETA: 0s - loss: 0.0025
197/229 [========================>.....] - ETA: 0s - loss: 0.0021
229/229 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 2.7546e-08
 42/229 [====>.........................] - ETA: 0s - loss: 8.8778e-06
 83/229 [=========>....................] - ETA: 0s - loss: 2.7080e-05
122/229 [==============>...............] - ETA: 0s - loss: 3.9457e-05
164/229 [====================>.........] - ETA: 0s - loss: 6.4397e-05
205/229 [=========================>....] - ETA: 0s - loss: 5.9262e-05
229/229 [==============================] - 0s 1ms/step - loss: 6.2648e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 3.4997e-10
 42/229 [====>.........................] - ETA: 0s - loss: 2.8970e-05
 84/229 [==========>...................] - ETA: 0s - loss: 2.8479e-05
124/229 [===============>..............] - ETA: 0s - loss: 2.2738e-05
163/229 [====================>.........] - ETA: 0s - loss: 3.3888e-05
203/229 [=========================>....] - ETA: 0s - loss: 4.4420e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.9586e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 4.2913e-08
 39/229 [====>.........................] - ETA: 0s - loss: 2.7173e-05
 82/229 [=========>....................] - ETA: 0s - loss: 2.6369e-05
126/229 [===============>..............] - ETA: 0s - loss: 3.1692e-05
168/229 [=====================>........] - ETA: 0s - loss: 3.7836e-05
209/229 [==========================>...] - ETA: 0s - loss: 3.3010e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.0560e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.4306e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.0419e-05
 81/229 [=========>....................] - ETA: 0s - loss: 2.7565e-05
122/229 [==============>...............] - ETA: 0s - loss: 2.6128e-05
163/229 [====================>.........] - ETA: 0s - loss: 2.1684e-05
204/229 [=========================>....] - ETA: 0s - loss: 1.9700e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.6970e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.6074e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.5766e-05
 83/229 [=========>....................] - ETA: 0s - loss: 2.2327e-05
127/229 [===============>..............] - ETA: 0s - loss: 1.8229e-05
169/229 [=====================>........] - ETA: 0s - loss: 1.8883e-05
207/229 [==========================>...] - ETA: 0s - loss: 2.1730e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.2135e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 2.6221e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.5197e-06
 82/229 [=========>....................] - ETA: 0s - loss: 1.7285e-05
115/229 [==============>...............] - ETA: 0s - loss: 2.1575e-05
146/229 [==================>...........] - ETA: 0s - loss: 2.1637e-05
181/229 [======================>.......] - ETA: 0s - loss: 1.8329e-05
219/229 [===========================>..] - ETA: 0s - loss: 1.7522e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.8582e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 3.7431e-04
 40/229 [====>.........................] - ETA: 0s - loss: 1.8548e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.2176e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.0744e-05
158/229 [===================>..........] - ETA: 0s - loss: 1.6657e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.7888e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.6283e-05
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 4.4892e-10
 38/229 [===>..........................] - ETA: 0s - loss: 1.3353e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.3732e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.0321e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.5481e-05
199/229 [=========================>....] - ETA: 0s - loss: 1.4898e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3705e-05
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 1.5276e-10
 41/229 [====>.........................] - ETA: 0s - loss: 7.6637e-06
 80/229 [=========>....................] - ETA: 0s - loss: 9.2216e-06
121/229 [==============>...............] - ETA: 0s - loss: 9.8038e-06
161/229 [====================>.........] - ETA: 0s - loss: 1.2409e-05
201/229 [=========================>....] - ETA: 0s - loss: 1.1747e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2140e-05
-> test with GAN.predict
GAN tn, fp: 570, 0
GAN fn, tp: 0, 13
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 570, 0
LR fn, tp: 0, 13
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 570, 0
RF fn, tp: 0, 13
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 570, 0
GB fn, tp: 0, 13
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 569, 1
KNN fn, tp: 0, 13
KNN f1 score: 0.963
KNN cohens kappa score: 0.962


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

------ Step 3/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 36s - loss: 2.9563e-06
 43/229 [====>.........................] - ETA: 0s - loss: 0.0089     
 80/229 [=========>....................] - ETA: 0s - loss: 0.0052
115/229 [==============>...............] - ETA: 0s - loss: 0.0036
150/229 [==================>...........] - ETA: 0s - loss: 0.0028
191/229 [========================>.....] - ETA: 0s - loss: 0.0022
229/229 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 2.7676e-10
 42/229 [====>.........................] - ETA: 0s - loss: 2.4058e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.3611e-06
125/229 [===============>..............] - ETA: 0s - loss: 5.8858e-06
166/229 [====================>.........] - ETA: 0s - loss: 6.4801e-06
207/229 [==========================>...] - ETA: 0s - loss: 6.4355e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0397e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 3.4614e-10
 43/229 [====>.........................] - ETA: 0s - loss: 1.3393e-05
 85/229 [==========>...................] - ETA: 0s - loss: 1.7590e-05
127/229 [===============>..............] - ETA: 0s - loss: 1.4725e-05
169/229 [=====================>........] - ETA: 0s - loss: 1.1482e-05
210/229 [==========================>...] - ETA: 0s - loss: 9.8367e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.0755e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 2.6788e-10
 43/229 [====>.........................] - ETA: 0s - loss: 1.6398e-06
 85/229 [==========>...................] - ETA: 0s - loss: 1.0597e-05
127/229 [===============>..............] - ETA: 0s - loss: 1.1011e-05
169/229 [=====================>........] - ETA: 0s - loss: 8.4602e-06
211/229 [==========================>...] - ETA: 0s - loss: 8.2852e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.1102e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 4.6578e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.3362e-05
 82/229 [=========>....................] - ETA: 0s - loss: 1.0714e-05
120/229 [==============>...............] - ETA: 0s - loss: 1.1085e-05
158/229 [===================>..........] - ETA: 0s - loss: 9.0966e-06
199/229 [=========================>....] - ETA: 0s - loss: 7.4202e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.4138e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.6874e-10
 41/229 [====>.........................] - ETA: 0s - loss: 5.1227e-06
 81/229 [=========>....................] - ETA: 0s - loss: 3.0336e-06
123/229 [===============>..............] - ETA: 0s - loss: 3.6412e-06
163/229 [====================>.........] - ETA: 0s - loss: 6.8845e-06
205/229 [=========================>....] - ETA: 0s - loss: 6.9101e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.7204e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 2.7585e-10
 41/229 [====>.........................] - ETA: 0s - loss: 3.2754e-06
 83/229 [=========>....................] - ETA: 0s - loss: 2.4761e-06
122/229 [==============>...............] - ETA: 0s - loss: 4.6082e-06
160/229 [===================>..........] - ETA: 0s - loss: 5.0033e-06
200/229 [=========================>....] - ETA: 0s - loss: 7.0685e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.2800e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.8878e-10
 42/229 [====>.........................] - ETA: 0s - loss: 6.9511e-06
 83/229 [=========>....................] - ETA: 0s - loss: 7.5444e-06
124/229 [===============>..............] - ETA: 0s - loss: 6.3077e-06
163/229 [====================>.........] - ETA: 0s - loss: 5.3396e-06
199/229 [=========================>....] - ETA: 0s - loss: 6.4240e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.6735e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 2.0141e-10
 38/229 [===>..........................] - ETA: 0s - loss: 7.7291e-06
 79/229 [=========>....................] - ETA: 0s - loss: 3.8815e-06
118/229 [==============>...............] - ETA: 0s - loss: 4.2564e-06
158/229 [===================>..........] - ETA: 0s - loss: 3.6931e-06
198/229 [========================>.....] - ETA: 0s - loss: 5.4418e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.2687e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 2.9433e-10
 43/229 [====>.........................] - ETA: 0s - loss: 3.2089e-07
 87/229 [==========>...................] - ETA: 0s - loss: 2.5616e-06
127/229 [===============>..............] - ETA: 0s - loss: 1.8899e-06
167/229 [====================>.........] - ETA: 0s - loss: 4.3171e-06
207/229 [==========================>...] - ETA: 0s - loss: 4.7339e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.9281e-06
-> test with GAN.predict
GAN tn, fp: 570, 1
GAN fn, tp: 0, 17
GAN f1 score: 0.971
GAN cohens kappa score: 0.971

-> test with 'LR'
LR tn, fp: 570, 1
LR fn, tp: 0, 17
LR f1 score: 0.971
LR cohens kappa score: 0.971
LR average precision score: 0.993

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 3/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 37s - loss: 4.5342e-10
 42/229 [====>.........................] - ETA: 0s - loss: 0.0103     
 83/229 [=========>....................] - ETA: 0s - loss: 0.0052
125/229 [===============>..............] - ETA: 0s - loss: 0.0036
166/229 [====================>.........] - ETA: 0s - loss: 0.0027
207/229 [==========================>...] - ETA: 0s - loss: 0.0022
229/229 [==============================] - 0s 1ms/step - loss: 0.0020
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 3.6541e-11
 43/229 [====>.........................] - ETA: 0s - loss: 4.9765e-07
 85/229 [==========>...................] - ETA: 0s - loss: 1.8467e-05
118/229 [==============>...............] - ETA: 0s - loss: 1.4308e-05
153/229 [===================>..........] - ETA: 0s - loss: 1.3274e-05
187/229 [=======================>......] - ETA: 0s - loss: 1.3362e-05
224/229 [============================>.] - ETA: 0s - loss: 1.3510e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3301e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 1.9287e-11
 42/229 [====>.........................] - ETA: 0s - loss: 6.4354e-06
 81/229 [=========>....................] - ETA: 0s - loss: 6.7805e-06
122/229 [==============>...............] - ETA: 0s - loss: 4.8372e-06
163/229 [====================>.........] - ETA: 0s - loss: 5.7874e-06
203/229 [=========================>....] - ETA: 0s - loss: 8.6520e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.8640e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 9.0867e-11
 42/229 [====>.........................] - ETA: 0s - loss: 4.1242e-06
 76/229 [========>.....................] - ETA: 0s - loss: 6.3202e-06
111/229 [=============>................] - ETA: 0s - loss: 4.4664e-06
147/229 [==================>...........] - ETA: 0s - loss: 6.3376e-06
187/229 [=======================>......] - ETA: 0s - loss: 6.9674e-06
229/229 [==============================] - ETA: 0s - loss: 7.2905e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.2905e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 2.1983e-11
 42/229 [====>.........................] - ETA: 0s - loss: 6.2961e-06
 80/229 [=========>....................] - ETA: 0s - loss: 7.3791e-06
121/229 [==============>...............] - ETA: 0s - loss: 6.4875e-06
163/229 [====================>.........] - ETA: 0s - loss: 6.2403e-06
203/229 [=========================>....] - ETA: 0s - loss: 6.2773e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.3159e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.9215e-11
 37/229 [===>..........................] - ETA: 0s - loss: 5.0487e-06
 75/229 [========>.....................] - ETA: 0s - loss: 9.1328e-06
115/229 [==============>...............] - ETA: 0s - loss: 7.4712e-06
156/229 [===================>..........] - ETA: 0s - loss: 7.6756e-06
197/229 [========================>.....] - ETA: 0s - loss: 6.3057e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.5681e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 1.2099e-11
 42/229 [====>.........................] - ETA: 0s - loss: 6.0561e-06
 82/229 [=========>....................] - ETA: 0s - loss: 7.8706e-06
122/229 [==============>...............] - ETA: 0s - loss: 5.8030e-06
162/229 [====================>.........] - ETA: 0s - loss: 4.7142e-06
204/229 [=========================>....] - ETA: 0s - loss: 5.4327e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.9698e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 6.0081e-06
 42/229 [====>.........................] - ETA: 0s - loss: 2.3155e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.6107e-06
126/229 [===============>..............] - ETA: 0s - loss: 5.0111e-06
168/229 [=====================>........] - ETA: 0s - loss: 4.0942e-06
209/229 [==========================>...] - ETA: 0s - loss: 3.7246e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.5390e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.6204e-11
 42/229 [====>.........................] - ETA: 0s - loss: 1.0096e-05
 84/229 [==========>...................] - ETA: 0s - loss: 6.3862e-06
125/229 [===============>..............] - ETA: 0s - loss: 4.3156e-06
164/229 [====================>.........] - ETA: 0s - loss: 3.6512e-06
206/229 [=========================>....] - ETA: 0s - loss: 4.0505e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.1178e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 2.2700e-07
 41/229 [====>.........................] - ETA: 0s - loss: 6.1437e-06
 82/229 [=========>....................] - ETA: 0s - loss: 4.7521e-06
123/229 [===============>..............] - ETA: 0s - loss: 4.4144e-06
163/229 [====================>.........] - ETA: 0s - loss: 4.1091e-06
199/229 [=========================>....] - ETA: 0s - loss: 4.0056e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.7805e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 1, 16
LR f1 score: 0.970
LR cohens kappa score: 0.969
LR average precision score: 0.994

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 1, 16
RF f1 score: 0.970
RF cohens kappa score: 0.969

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 569, 2
KNN fn, tp: 1, 16
KNN f1 score: 0.914
KNN cohens kappa score: 0.912


------ Step 3/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 37s - loss: 7.9060e-09
 43/229 [====>.........................] - ETA: 0s - loss: 0.0011     
 85/229 [==========>...................] - ETA: 0s - loss: 6.5159e-04
127/229 [===============>..............] - ETA: 0s - loss: 4.4240e-04
169/229 [=====================>........] - ETA: 0s - loss: 4.1643e-04
211/229 [==========================>...] - ETA: 0s - loss: 3.3452e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.1445e-04
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 4.0173e-08
 42/229 [====>.........................] - ETA: 0s - loss: 0.0015    
 83/229 [=========>....................] - ETA: 0s - loss: 8.0226e-04
124/229 [===============>..............] - ETA: 0s - loss: 5.3839e-04
165/229 [====================>.........] - ETA: 0s - loss: 4.0734e-04
204/229 [=========================>....] - ETA: 0s - loss: 3.3006e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.9560e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 2.3743e-09
 42/229 [====>.........................] - ETA: 0s - loss: 5.2662e-06
 84/229 [==========>...................] - ETA: 0s - loss: 3.9829e-06
125/229 [===============>..............] - ETA: 0s - loss: 1.2393e-05
166/229 [====================>.........] - ETA: 0s - loss: 1.0109e-05
208/229 [==========================>...] - ETA: 0s - loss: 1.0399e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0275e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 4.4583e-09
 43/229 [====>.........................] - ETA: 0s - loss: 1.2129e-05
 84/229 [==========>...................] - ETA: 0s - loss: 8.7166e-06
124/229 [===============>..............] - ETA: 0s - loss: 7.1283e-06
165/229 [====================>.........] - ETA: 0s - loss: 1.0158e-05
207/229 [==========================>...] - ETA: 0s - loss: 8.5973e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.8752e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 3.1963e-09
 42/229 [====>.........................] - ETA: 0s - loss: 5.8347e-07
 84/229 [==========>...................] - ETA: 0s - loss: 6.8668e-06
125/229 [===============>..............] - ETA: 0s - loss: 7.6812e-06
167/229 [====================>.........] - ETA: 0s - loss: 6.4002e-06
203/229 [=========================>....] - ETA: 0s - loss: 6.3456e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.7237e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.3172e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.9194e-06
 82/229 [=========>....................] - ETA: 0s - loss: 4.7642e-06
123/229 [===============>..............] - ETA: 0s - loss: 5.7624e-06
162/229 [====================>.........] - ETA: 0s - loss: 5.0584e-06
193/229 [========================>.....] - ETA: 0s - loss: 6.5181e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.8697e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 5.9745e-08
 41/229 [====>.........................] - ETA: 0s - loss: 1.4471e-06
 81/229 [=========>....................] - ETA: 0s - loss: 4.3140e-06
122/229 [==============>...............] - ETA: 0s - loss: 5.4538e-06
164/229 [====================>.........] - ETA: 0s - loss: 6.4077e-06
205/229 [=========================>....] - ETA: 0s - loss: 5.6059e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.3075e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 6.3849e-06
 42/229 [====>.........................] - ETA: 0s - loss: 7.3962e-06
 83/229 [=========>....................] - ETA: 0s - loss: 6.4865e-06
124/229 [===============>..............] - ETA: 0s - loss: 6.3739e-06
165/229 [====================>.........] - ETA: 0s - loss: 5.2951e-06
204/229 [=========================>....] - ETA: 0s - loss: 5.0056e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.8367e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.0588e-09
 42/229 [====>.........................] - ETA: 0s - loss: 7.7258e-06
 82/229 [=========>....................] - ETA: 0s - loss: 5.7341e-06
124/229 [===============>..............] - ETA: 0s - loss: 6.0441e-06
166/229 [====================>.........] - ETA: 0s - loss: 5.5654e-06
207/229 [==========================>...] - ETA: 0s - loss: 4.9182e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.5298e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 4.3785e-08
 42/229 [====>.........................] - ETA: 0s - loss: 4.2264e-07
 84/229 [==========>...................] - ETA: 0s - loss: 3.2428e-06
125/229 [===============>..............] - ETA: 0s - loss: 4.2105e-06
167/229 [====================>.........] - ETA: 0s - loss: 4.2739e-06
208/229 [==========================>...] - ETA: 0s - loss: 3.6171e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.1509e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 3/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 49s - loss: 3.3067e-09
 38/229 [===>..........................] - ETA: 0s - loss: 4.2502e-05 
 79/229 [=========>....................] - ETA: 0s - loss: 6.7616e-05
119/229 [==============>...............] - ETA: 0s - loss: 9.5605e-05
160/229 [===================>..........] - ETA: 0s - loss: 7.2773e-05
200/229 [=========================>....] - ETA: 0s - loss: 5.8410e-05
229/229 [==============================] - 1s 1ms/step - loss: 5.3707e-05
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 2.6968e-09
 41/229 [====>.........................] - ETA: 0s - loss: 6.7134e-07
 75/229 [========>.....................] - ETA: 0s - loss: 1.8613e-06
109/229 [=============>................] - ETA: 0s - loss: 2.9615e-06
144/229 [=================>............] - ETA: 0s - loss: 3.2184e-06
185/229 [=======================>......] - ETA: 0s - loss: 2.5978e-06
224/229 [============================>.] - ETA: 0s - loss: 2.2143e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.1726e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 1.9868e-06
 42/229 [====>.........................] - ETA: 0s - loss: 3.3083e-06
 82/229 [=========>....................] - ETA: 0s - loss: 1.7780e-06
122/229 [==============>...............] - ETA: 0s - loss: 2.0268e-06
162/229 [====================>.........] - ETA: 0s - loss: 1.6061e-06
203/229 [=========================>....] - ETA: 0s - loss: 1.3487e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.9094e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 2.9413e-06
 40/229 [====>.........................] - ETA: 0s - loss: 1.9392e-06
 81/229 [=========>....................] - ETA: 0s - loss: 2.2816e-06
122/229 [==============>...............] - ETA: 0s - loss: 2.2037e-06
162/229 [====================>.........] - ETA: 0s - loss: 1.7956e-06
203/229 [=========================>....] - ETA: 0s - loss: 1.5807e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.7235e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.2552e-09
 40/229 [====>.........................] - ETA: 0s - loss: 2.5596e-06
 82/229 [=========>....................] - ETA: 0s - loss: 2.0093e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.5164e-06
164/229 [====================>.........] - ETA: 0s - loss: 1.2404e-06
205/229 [=========================>....] - ETA: 0s - loss: 1.1770e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.5694e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.1466e-08
 42/229 [====>.........................] - ETA: 0s - loss: 4.0253e-07
 84/229 [==========>...................] - ETA: 0s - loss: 2.4805e-07
125/229 [===============>..............] - ETA: 0s - loss: 1.1080e-06
166/229 [====================>.........] - ETA: 0s - loss: 1.3635e-06
203/229 [=========================>....] - ETA: 0s - loss: 1.4635e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.4565e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 1.9189e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.0153e-06
 78/229 [=========>....................] - ETA: 0s - loss: 1.6311e-06
116/229 [==============>...............] - ETA: 0s - loss: 1.8279e-06
156/229 [===================>..........] - ETA: 0s - loss: 1.4615e-06
198/229 [========================>.....] - ETA: 0s - loss: 1.4147e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.3214e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.9008e-09
 43/229 [====>.........................] - ETA: 0s - loss: 4.8732e-07
 83/229 [=========>....................] - ETA: 0s - loss: 1.5972e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.2224e-06
163/229 [====================>.........] - ETA: 0s - loss: 1.7802e-06
200/229 [=========================>....] - ETA: 0s - loss: 1.4548e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.2896e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.4904e-07
 41/229 [====>.........................] - ETA: 0s - loss: 1.4140e-06
 81/229 [=========>....................] - ETA: 0s - loss: 1.9482e-06
121/229 [==============>...............] - ETA: 0s - loss: 1.7801e-06
155/229 [===================>..........] - ETA: 0s - loss: 1.5186e-06
189/229 [=======================>......] - ETA: 0s - loss: 1.3132e-06
226/229 [============================>.] - ETA: 0s - loss: 1.1511e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.1442e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 4.2205e-10
 42/229 [====>.........................] - ETA: 0s - loss: 2.2215e-06
 82/229 [=========>....................] - ETA: 0s - loss: 1.6421e-06
122/229 [==============>...............] - ETA: 0s - loss: 1.1791e-06
160/229 [===================>..........] - ETA: 0s - loss: 1.0385e-06
199/229 [=========================>....] - ETA: 0s - loss: 1.0888e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0402e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 571, 0
KNN fn, tp: 1, 16
KNN f1 score: 0.970
KNN cohens kappa score: 0.969


------ Step 3/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2216 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 37s - loss: 5.8008e-11
 42/229 [====>.........................] - ETA: 0s - loss: 8.4073e-04 
 84/229 [==========>...................] - ETA: 0s - loss: 0.0024    
126/229 [===============>..............] - ETA: 0s - loss: 0.0018
166/229 [====================>.........] - ETA: 0s - loss: 0.0014
208/229 [==========================>...] - ETA: 0s - loss: 0.0012
229/229 [==============================] - 0s 1ms/step - loss: 0.0011
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 1.1989e-11
 41/229 [====>.........................] - ETA: 0s - loss: 2.6054e-06
 82/229 [=========>....................] - ETA: 0s - loss: 2.4138e-04
123/229 [===============>..............] - ETA: 0s - loss: 1.6301e-04
164/229 [====================>.........] - ETA: 0s - loss: 0.0011    
202/229 [=========================>....] - ETA: 0s - loss: 8.7783e-04
229/229 [==============================] - 0s 1ms/step - loss: 0.0014
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 2.2148e-11
 36/229 [===>..........................] - ETA: 0s - loss: 1.7288e-04
 73/229 [========>.....................] - ETA: 0s - loss: 8.6123e-05
115/229 [==============>...............] - ETA: 0s - loss: 5.6693e-05
154/229 [===================>..........] - ETA: 0s - loss: 9.3816e-05
196/229 [========================>.....] - ETA: 0s - loss: 7.4199e-05
229/229 [==============================] - 0s 1ms/step - loss: 6.4171e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 6.0523e-05
 43/229 [====>.........................] - ETA: 0s - loss: 1.1515e-05
 84/229 [==========>...................] - ETA: 0s - loss: 7.2135e-06
125/229 [===============>..............] - ETA: 0s - loss: 2.8912e-05
165/229 [====================>.........] - ETA: 0s - loss: 2.2419e-05
206/229 [=========================>....] - ETA: 0s - loss: 2.3810e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.2781e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 6.4743e-12
 41/229 [====>.........................] - ETA: 0s - loss: 1.0967e-05
 74/229 [========>.....................] - ETA: 0s - loss: 6.4170e-06
115/229 [==============>...............] - ETA: 0s - loss: 4.6924e-06
154/229 [===================>..........] - ETA: 0s - loss: 1.1811e-05
195/229 [========================>.....] - ETA: 0s - loss: 1.5837e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4158e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 4.4361e-10
 40/229 [====>.........................] - ETA: 0s - loss: 2.2045e-06
 82/229 [=========>....................] - ETA: 0s - loss: 1.2846e-05
123/229 [===============>..............] - ETA: 0s - loss: 1.0259e-05
161/229 [====================>.........] - ETA: 0s - loss: 1.3878e-05
199/229 [=========================>....] - ETA: 0s - loss: 1.1728e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2052e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 1.4286e-11
 43/229 [====>.........................] - ETA: 0s - loss: 3.0021e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.2962e-05
125/229 [===============>..............] - ETA: 0s - loss: 1.6052e-05
167/229 [====================>.........] - ETA: 0s - loss: 1.3291e-05
209/229 [==========================>...] - ETA: 0s - loss: 1.1357e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0425e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.0244e-11
 43/229 [====>.........................] - ETA: 0s - loss: 3.3957e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.0389e-05
124/229 [===============>..............] - ETA: 0s - loss: 1.4826e-05
164/229 [====================>.........] - ETA: 0s - loss: 1.1554e-05
205/229 [=========================>....] - ETA: 0s - loss: 9.6297e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.1482e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 2.2029e-12
 42/229 [====>.........................] - ETA: 0s - loss: 5.7963e-06
 83/229 [=========>....................] - ETA: 0s - loss: 4.2501e-06
124/229 [===============>..............] - ETA: 0s - loss: 6.1488e-06
166/229 [====================>.........] - ETA: 0s - loss: 1.0718e-05
207/229 [==========================>...] - ETA: 0s - loss: 9.5253e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.6693e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 9.1638e-11
 42/229 [====>.........................] - ETA: 0s - loss: 3.6978e-06
 74/229 [========>.....................] - ETA: 0s - loss: 1.1267e-05
109/229 [=============>................] - ETA: 0s - loss: 8.8699e-06
145/229 [=================>............] - ETA: 0s - loss: 9.2793e-06
186/229 [=======================>......] - ETA: 0s - loss: 8.9811e-06
227/229 [============================>.] - ETA: 0s - loss: 7.6053e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.5750e-06
-> test with GAN.predict
GAN tn, fp: 570, 0
GAN fn, tp: 0, 13
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 569, 1
LR fn, tp: 2, 11
LR f1 score: 0.880
LR cohens kappa score: 0.877
LR average precision score: 0.973

-> test with 'RF'
RF tn, fp: 570, 0
RF fn, tp: 0, 13
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 570, 0
GB fn, tp: 0, 13
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 0
KNN fn, tp: 0, 13
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 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 46s - loss: 0.0110
 36/229 [===>..........................] - ETA: 0s - loss: 4.8704e-04
 77/229 [=========>....................] - ETA: 0s - loss: 2.2775e-04
118/229 [==============>...............] - ETA: 0s - loss: 0.0034    
159/229 [===================>..........] - ETA: 0s - loss: 0.0041
200/229 [=========================>....] - ETA: 0s - loss: 0.0033
229/229 [==============================] - 0s 1ms/step - loss: 0.0029
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 8.7027e-08
 42/229 [====>.........................] - ETA: 0s - loss: 3.1231e-07
 82/229 [=========>....................] - ETA: 0s - loss: 2.8388e-07
122/229 [==============>...............] - ETA: 0s - loss: 1.0689e-06
163/229 [====================>.........] - ETA: 0s - loss: 2.4725e-06
203/229 [=========================>....] - ETA: 0s - loss: 2.4089e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.6368e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 4.3339e-08
 43/229 [====>.........................] - ETA: 0s - loss: 1.2762e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.2059e-05
122/229 [==============>...............] - ETA: 0s - loss: 8.4137e-06
160/229 [===================>..........] - ETA: 0s - loss: 6.6226e-06
201/229 [=========================>....] - ETA: 0s - loss: 5.4872e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.9912e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 5.0895e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.4100e-05
 80/229 [=========>....................] - ETA: 0s - loss: 7.3139e-06
120/229 [==============>...............] - ETA: 0s - loss: 5.5752e-06
161/229 [====================>.........] - ETA: 0s - loss: 4.2325e-06
203/229 [=========================>....] - ETA: 0s - loss: 4.9330e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.5790e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.1467e-09
 42/229 [====>.........................] - ETA: 0s - loss: 9.3103e-07
 82/229 [=========>....................] - ETA: 0s - loss: 8.1399e-07
122/229 [==============>...............] - ETA: 0s - loss: 1.0280e-06
163/229 [====================>.........] - ETA: 0s - loss: 9.4952e-07
205/229 [=========================>....] - ETA: 0s - loss: 1.9517e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.0914e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.6679e-10
 42/229 [====>.........................] - ETA: 0s - loss: 7.3910e-07
 82/229 [=========>....................] - ETA: 0s - loss: 4.7479e-06
122/229 [==============>...............] - ETA: 0s - loss: 3.3073e-06
161/229 [====================>.........] - ETA: 0s - loss: 4.0911e-06
202/229 [=========================>....] - ETA: 0s - loss: 3.8412e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.7057e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 6.1475e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.0395e-05
 76/229 [========>.....................] - ETA: 0s - loss: 8.7728e-06
109/229 [=============>................] - ETA: 0s - loss: 6.1457e-06
143/229 [=================>............] - ETA: 0s - loss: 4.9388e-06
184/229 [=======================>......] - ETA: 0s - loss: 4.0382e-06
225/229 [============================>.] - ETA: 0s - loss: 3.4347e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.3948e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.1431e-09
 42/229 [====>.........................] - ETA: 0s - loss: 3.1043e-07
 84/229 [==========>...................] - ETA: 0s - loss: 4.3891e-06
124/229 [===============>..............] - ETA: 0s - loss: 4.8047e-06
165/229 [====================>.........] - ETA: 0s - loss: 3.8426e-06
205/229 [=========================>....] - ETA: 0s - loss: 3.3855e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.1395e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 6.3256e-10
 42/229 [====>.........................] - ETA: 0s - loss: 7.4984e-06
 81/229 [=========>....................] - ETA: 0s - loss: 4.3494e-06
119/229 [==============>...............] - ETA: 0s - loss: 4.4444e-06
155/229 [===================>..........] - ETA: 0s - loss: 3.6453e-06
191/229 [========================>.....] - ETA: 0s - loss: 3.3499e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.8897e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 2.2188e-06
 41/229 [====>.........................] - ETA: 0s - loss: 7.3834e-07
 80/229 [=========>....................] - ETA: 0s - loss: 1.8489e-06
118/229 [==============>...............] - ETA: 0s - loss: 1.7571e-06
159/229 [===================>..........] - ETA: 0s - loss: 1.6417e-06
199/229 [=========================>....] - ETA: 0s - loss: 2.9850e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.6171e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 571, 0
KNN fn, tp: 0, 17
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


------ Step 4/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 46s - loss: 3.7114e-08
 39/229 [====>.........................] - ETA: 0s - loss: 0.0048     
 79/229 [=========>....................] - ETA: 0s - loss: 0.0052
119/229 [==============>...............] - ETA: 0s - loss: 0.0035
160/229 [===================>..........] - ETA: 0s - loss: 0.0026
200/229 [=========================>....] - ETA: 0s - loss: 0.0021
229/229 [==============================] - 0s 1ms/step - loss: 0.0019
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 1.8279e-06
 42/229 [====>.........................] - ETA: 0s - loss: 1.0811e-04
 82/229 [=========>....................] - ETA: 0s - loss: 7.3172e-05
123/229 [===============>..............] - ETA: 0s - loss: 7.4350e-05
162/229 [====================>.........] - ETA: 0s - loss: 5.7296e-05
201/229 [=========================>....] - ETA: 0s - loss: 4.8611e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.7101e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 8.1644e-08
 33/229 [===>..........................] - ETA: 0s - loss: 4.1558e-05
 68/229 [=======>......................] - ETA: 0s - loss: 3.3625e-05
101/229 [============>.................] - ETA: 0s - loss: 2.4960e-05
141/229 [=================>............] - ETA: 0s - loss: 2.6344e-05
182/229 [======================>.......] - ETA: 0s - loss: 2.1547e-05
222/229 [============================>.] - ETA: 0s - loss: 2.2256e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.2972e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 1.0992e-08
 42/229 [====>.........................] - ETA: 0s - loss: 2.1329e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.4588e-05
123/229 [===============>..............] - ETA: 0s - loss: 1.3069e-05
164/229 [====================>.........] - ETA: 0s - loss: 2.2156e-05
204/229 [=========================>....] - ETA: 0s - loss: 2.3153e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.1957e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.2074e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.3471e-05
 79/229 [=========>....................] - ETA: 0s - loss: 8.9230e-06
120/229 [==============>...............] - ETA: 0s - loss: 1.2198e-05
157/229 [===================>..........] - ETA: 0s - loss: 2.1743e-05
197/229 [========================>.....] - ETA: 0s - loss: 1.9237e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.8682e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.5804e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.2240e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.0948e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.1272e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.1479e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.5988e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.6904e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 4.5065e-06
 42/229 [====>.........................] - ETA: 0s - loss: 1.8271e-05
 82/229 [=========>....................] - ETA: 0s - loss: 9.8805e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.3138e-05
163/229 [====================>.........] - ETA: 0s - loss: 1.4209e-05
204/229 [=========================>....] - ETA: 0s - loss: 1.6144e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.5823e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 2.1902e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.7026e-05
 81/229 [=========>....................] - ETA: 0s - loss: 1.3106e-05
121/229 [==============>...............] - ETA: 0s - loss: 1.5368e-05
161/229 [====================>.........] - ETA: 0s - loss: 1.3029e-05
201/229 [=========================>....] - ETA: 0s - loss: 1.1901e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4262e-05
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.9273e-08
 41/229 [====>.........................] - ETA: 0s - loss: 1.2021e-05
 81/229 [=========>....................] - ETA: 0s - loss: 1.3793e-05
120/229 [==============>...............] - ETA: 0s - loss: 1.2297e-05
161/229 [====================>.........] - ETA: 0s - loss: 1.4378e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.3112e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2831e-05
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 3.5650e-07
 42/229 [====>.........................] - ETA: 0s - loss: 7.0568e-06
 79/229 [=========>....................] - ETA: 0s - loss: 6.2174e-06
112/229 [=============>................] - ETA: 0s - loss: 8.4566e-06
147/229 [==================>...........] - ETA: 0s - loss: 1.2618e-05
182/229 [======================>.......] - ETA: 0s - loss: 1.2568e-05
221/229 [===========================>..] - ETA: 0s - loss: 1.1517e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2020e-05
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 1, 16
LR f1 score: 0.970
LR cohens kappa score: 0.969
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 571, 0
KNN fn, tp: 2, 15
KNN f1 score: 0.938
KNN cohens kappa score: 0.936


------ Step 4/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 45s - loss: 2.3881e-10
 42/229 [====>.........................] - ETA: 0s - loss: 2.7013e-04 
 84/229 [==========>...................] - ETA: 0s - loss: 1.4060e-04
126/229 [===============>..............] - ETA: 0s - loss: 9.4201e-05
166/229 [====================>.........] - ETA: 0s - loss: 0.0019    
207/229 [==========================>...] - ETA: 0s - loss: 0.0018
229/229 [==============================] - 0s 1ms/step - loss: 0.0016
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 3.4851e-11
 37/229 [===>..........................] - ETA: 0s - loss: 6.8641e-05
 78/229 [=========>....................] - ETA: 0s - loss: 4.4220e-05
120/229 [==============>...............] - ETA: 0s - loss: 5.3198e-05
160/229 [===================>..........] - ETA: 0s - loss: 4.7744e-05
202/229 [=========================>....] - ETA: 0s - loss: 3.9491e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.4968e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 3.7970e-11
 41/229 [====>.........................] - ETA: 0s - loss: 1.0636e-05
 82/229 [=========>....................] - ETA: 0s - loss: 7.9129e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.3272e-05
163/229 [====================>.........] - ETA: 0s - loss: 1.0321e-05
204/229 [=========================>....] - ETA: 0s - loss: 8.3847e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.6422e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 2.8133e-05
 43/229 [====>.........................] - ETA: 0s - loss: 1.2959e-05
 84/229 [==========>...................] - ETA: 0s - loss: 7.0251e-06
125/229 [===============>..............] - ETA: 0s - loss: 4.9159e-06
167/229 [====================>.........] - ETA: 0s - loss: 5.6914e-06
205/229 [=========================>....] - ETA: 0s - loss: 5.7626e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.5781e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 3.1952e-08
 37/229 [===>..........................] - ETA: 0s - loss: 1.9880e-06
 73/229 [========>.....................] - ETA: 0s - loss: 8.8666e-06
115/229 [==============>...............] - ETA: 0s - loss: 6.5558e-06
155/229 [===================>..........] - ETA: 0s - loss: 5.3261e-06
196/229 [========================>.....] - ETA: 0s - loss: 5.4391e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.7809e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.4279e-11
 42/229 [====>.........................] - ETA: 0s - loss: 4.6472e-06
 81/229 [=========>....................] - ETA: 0s - loss: 4.9064e-06
118/229 [==============>...............] - ETA: 0s - loss: 3.6295e-06
158/229 [===================>..........] - ETA: 0s - loss: 3.7464e-06
199/229 [=========================>....] - ETA: 0s - loss: 4.7660e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.3866e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 2.6469e-07
 41/229 [====>.........................] - ETA: 0s - loss: 6.2022e-07
 82/229 [=========>....................] - ETA: 0s - loss: 2.3261e-06
123/229 [===============>..............] - ETA: 0s - loss: 5.3682e-06
163/229 [====================>.........] - ETA: 0s - loss: 4.4683e-06
200/229 [=========================>....] - ETA: 0s - loss: 4.4413e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.0458e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.8101e-11
 41/229 [====>.........................] - ETA: 0s - loss: 1.2906e-06
 82/229 [=========>....................] - ETA: 0s - loss: 2.9403e-06
121/229 [==============>...............] - ETA: 0s - loss: 2.9636e-06
162/229 [====================>.........] - ETA: 0s - loss: 4.6944e-06
204/229 [=========================>....] - ETA: 0s - loss: 4.1477e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.8370e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 3.5742e-11
 42/229 [====>.........................] - ETA: 0s - loss: 3.9015e-07
 84/229 [==========>...................] - ETA: 0s - loss: 3.7282e-06
125/229 [===============>..............] - ETA: 0s - loss: 5.0387e-06
166/229 [====================>.........] - ETA: 0s - loss: 4.3902e-06
207/229 [==========================>...] - ETA: 0s - loss: 3.6549e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.5923e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 4.1099e-10
 40/229 [====>.........................] - ETA: 0s - loss: 2.3523e-06
 81/229 [=========>....................] - ETA: 0s - loss: 1.2577e-06
122/229 [==============>...............] - ETA: 0s - loss: 1.6353e-06
164/229 [====================>.........] - ETA: 0s - loss: 1.8797e-06
205/229 [=========================>....] - ETA: 0s - loss: 2.6064e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.3885e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 4/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 39s - loss: 6.0977e-09
 43/229 [====>.........................] - ETA: 0s - loss: 2.2706e-05 
 85/229 [==========>...................] - ETA: 0s - loss: 2.2960e-05
127/229 [===============>..............] - ETA: 0s - loss: 3.1598e-05
168/229 [=====================>........] - ETA: 0s - loss: 9.6171e-05
210/229 [==========================>...] - ETA: 0s - loss: 7.7818e-05
229/229 [==============================] - 0s 1ms/step - loss: 7.1583e-05
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 3.2446e-07
 42/229 [====>.........................] - ETA: 0s - loss: 1.3633e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.1238e-05
124/229 [===============>..............] - ETA: 0s - loss: 8.1337e-06
163/229 [====================>.........] - ETA: 0s - loss: 6.2024e-06
202/229 [=========================>....] - ETA: 0s - loss: 5.2599e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.4759e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 2.5961e-10
 40/229 [====>.........................] - ETA: 0s - loss: 2.2434e-06
 81/229 [=========>....................] - ETA: 0s - loss: 1.2832e-06
122/229 [==============>...............] - ETA: 0s - loss: 2.2833e-06
162/229 [====================>.........] - ETA: 0s - loss: 6.2605e-06
200/229 [=========================>....] - ETA: 0s - loss: 5.2344e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.4249e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 4.9908e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.0123e-07
 84/229 [==========>...................] - ETA: 0s - loss: 1.0254e-06
126/229 [===============>..............] - ETA: 0s - loss: 1.1349e-06
165/229 [====================>.........] - ETA: 0s - loss: 9.9172e-07
205/229 [=========================>....] - ETA: 0s - loss: 1.1797e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0603e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 5.0520e-06
 43/229 [====>.........................] - ETA: 0s - loss: 1.4920e-06
 85/229 [==========>...................] - ETA: 0s - loss: 1.2700e-06
126/229 [===============>..............] - ETA: 0s - loss: 8.6636e-07
167/229 [====================>.........] - ETA: 0s - loss: 7.2613e-07
209/229 [==========================>...] - ETA: 0s - loss: 7.9925e-07
229/229 [==============================] - 0s 1ms/step - loss: 9.2062e-07
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.8135e-07
 42/229 [====>.........................] - ETA: 0s - loss: 2.5446e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.6181e-06
121/229 [==============>...............] - ETA: 0s - loss: 1.2171e-06
159/229 [===================>..........] - ETA: 0s - loss: 9.6381e-07
200/229 [=========================>....] - ETA: 0s - loss: 9.1462e-07
229/229 [==============================] - 0s 1ms/step - loss: 8.3056e-07
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 3.1906e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.9913e-07
 78/229 [=========>....................] - ETA: 0s - loss: 7.0641e-07
120/229 [==============>...............] - ETA: 0s - loss: 5.4779e-07
160/229 [===================>..........] - ETA: 0s - loss: 7.9465e-07
200/229 [=========================>....] - ETA: 0s - loss: 8.3294e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.3406e-07
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 6.9127e-11
 35/229 [===>..........................] - ETA: 0s - loss: 7.0539e-07
 71/229 [========>.....................] - ETA: 0s - loss: 9.6004e-07
112/229 [=============>................] - ETA: 0s - loss: 7.2178e-07
154/229 [===================>..........] - ETA: 0s - loss: 5.9972e-07
195/229 [========================>.....] - ETA: 0s - loss: 5.9761e-07
229/229 [==============================] - 0s 1ms/step - loss: 6.6762e-07
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 9.1695e-07
 43/229 [====>.........................] - ETA: 0s - loss: 6.3629e-07
 85/229 [==========>...................] - ETA: 0s - loss: 4.1864e-07
119/229 [==============>...............] - ETA: 0s - loss: 5.3443e-07
158/229 [===================>..........] - ETA: 0s - loss: 4.6357e-07
198/229 [========================>.....] - ETA: 0s - loss: 4.6456e-07
229/229 [==============================] - 0s 1ms/step - loss: 6.1154e-07
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 4.4592e-09
 42/229 [====>.........................] - ETA: 0s - loss: 7.4176e-07
 83/229 [=========>....................] - ETA: 0s - loss: 4.6695e-07
125/229 [===============>..............] - ETA: 0s - loss: 5.8801e-07
166/229 [====================>.........] - ETA: 0s - loss: 5.7593e-07
207/229 [==========================>...] - ETA: 0s - loss: 5.4342e-07
229/229 [==============================] - 0s 1ms/step - loss: 5.6522e-07
-> test with GAN.predict
GAN tn, fp: 570, 1
GAN fn, tp: 0, 17
GAN f1 score: 0.971
GAN cohens kappa score: 0.971

-> test with 'LR'
LR tn, fp: 568, 3
LR fn, tp: 0, 17
LR f1 score: 0.919
LR cohens kappa score: 0.916
LR average precision score: 0.935

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 569, 2
GB fn, tp: 0, 17
GB f1 score: 0.944
GB cohens kappa score: 0.943

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 4/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2216 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 44s - loss: 4.0853e-10
 40/229 [====>.........................] - ETA: 0s - loss: 9.9018e-06 
 74/229 [========>.....................] - ETA: 0s - loss: 5.4752e-06
112/229 [=============>................] - ETA: 0s - loss: 3.8477e-06
150/229 [==================>...........] - ETA: 0s - loss: 2.8933e-06
189/229 [=======================>......] - ETA: 0s - loss: 2.8533e-06
229/229 [==============================] - ETA: 0s - loss: 2.7024e-06
229/229 [==============================] - 1s 1ms/step - loss: 2.7024e-06
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 6.0376e-09
 42/229 [====>.........................] - ETA: 0s - loss: 2.1609e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.4596e-06
125/229 [===============>..............] - ETA: 0s - loss: 1.5200e-06
165/229 [====================>.........] - ETA: 0s - loss: 1.2446e-06
203/229 [=========================>....] - ETA: 0s - loss: 1.2385e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.2950e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 1.7589e-06
 42/229 [====>.........................] - ETA: 0s - loss: 1.1771e-06
 83/229 [=========>....................] - ETA: 0s - loss: 2.2822e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.6218e-06
165/229 [====================>.........] - ETA: 0s - loss: 1.4613e-06
205/229 [=========================>....] - ETA: 0s - loss: 1.1968e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.2166e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 1.8295e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.0902e-06
 82/229 [=========>....................] - ETA: 0s - loss: 9.0875e-07
123/229 [===============>..............] - ETA: 0s - loss: 1.1463e-06
163/229 [====================>.........] - ETA: 0s - loss: 9.6167e-07
204/229 [=========================>....] - ETA: 0s - loss: 1.1762e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0974e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.5696e-09
 42/229 [====>.........................] - ETA: 0s - loss: 2.0146e-06
 82/229 [=========>....................] - ETA: 0s - loss: 1.3395e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.3528e-06
164/229 [====================>.........] - ETA: 0s - loss: 1.1870e-06
204/229 [=========================>....] - ETA: 0s - loss: 1.1106e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0059e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 2.3915e-09
 41/229 [====>.........................] - ETA: 0s - loss: 7.5797e-07
 81/229 [=========>....................] - ETA: 0s - loss: 1.3850e-06
119/229 [==============>...............] - ETA: 0s - loss: 9.8013e-07
160/229 [===================>..........] - ETA: 0s - loss: 1.2015e-06
201/229 [=========================>....] - ETA: 0s - loss: 1.0123e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.4771e-07
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 3.3351e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.5901e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.1628e-06
123/229 [===============>..............] - ETA: 0s - loss: 9.8331e-07
158/229 [===================>..........] - ETA: 0s - loss: 9.2728e-07
194/229 [========================>.....] - ETA: 0s - loss: 9.6520e-07
226/229 [============================>.] - ETA: 0s - loss: 8.6049e-07
229/229 [==============================] - 0s 1ms/step - loss: 8.5683e-07
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.8499e-09
 36/229 [===>..........................] - ETA: 0s - loss: 8.5235e-07
 77/229 [=========>....................] - ETA: 0s - loss: 9.5706e-07
118/229 [==============>...............] - ETA: 0s - loss: 7.2153e-07
160/229 [===================>..........] - ETA: 0s - loss: 9.7885e-07
201/229 [=========================>....] - ETA: 0s - loss: 8.8492e-07
229/229 [==============================] - 0s 1ms/step - loss: 8.1491e-07
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.9036e-06
 41/229 [====>.........................] - ETA: 0s - loss: 9.2329e-07
 81/229 [=========>....................] - ETA: 0s - loss: 8.3125e-07
121/229 [==============>...............] - ETA: 0s - loss: 1.1302e-06
159/229 [===================>..........] - ETA: 0s - loss: 9.8207e-07
196/229 [========================>.....] - ETA: 0s - loss: 8.6911e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.6186e-07
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 3.2880e-10
 40/229 [====>.........................] - ETA: 0s - loss: 3.1936e-07
 81/229 [=========>....................] - ETA: 0s - loss: 6.3459e-07
121/229 [==============>...............] - ETA: 0s - loss: 5.2521e-07
161/229 [====================>.........] - ETA: 0s - loss: 4.6350e-07
198/229 [========================>.....] - ETA: 0s - loss: 6.9349e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.1098e-07
-> test with GAN.predict
GAN tn, fp: 570, 0
GAN fn, tp: 0, 13
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 570, 0
LR fn, tp: 1, 12
LR f1 score: 0.960
LR cohens kappa score: 0.959
LR average precision score: 0.982

-> test with 'RF'
RF tn, fp: 570, 0
RF fn, tp: 1, 12
RF f1 score: 0.960
RF cohens kappa score: 0.959

-> test with 'GB'
GB tn, fp: 570, 0
GB fn, tp: 0, 13
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 569, 1
KNN fn, tp: 0, 13
KNN f1 score: 0.963
KNN cohens kappa score: 0.962


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

------ Step 5/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 39s - loss: 4.1175e-09
 43/229 [====>.........................] - ETA: 0s - loss: 1.4731e-04 
 79/229 [=========>....................] - ETA: 0s - loss: 3.1356e-04
111/229 [=============>................] - ETA: 0s - loss: 4.4943e-04
141/229 [=================>............] - ETA: 0s - loss: 3.6030e-04
175/229 [=====================>........] - ETA: 0s - loss: 2.9552e-04
213/229 [==========================>...] - ETA: 0s - loss: 2.4374e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2868e-04
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 2.0328e-09
 39/229 [====>.........................] - ETA: 0s - loss: 9.7830e-06
 78/229 [=========>....................] - ETA: 0s - loss: 9.8054e-06
117/229 [==============>...............] - ETA: 0s - loss: 7.2320e-06
157/229 [===================>..........] - ETA: 0s - loss: 5.8730e-06
197/229 [========================>.....] - ETA: 0s - loss: 5.4906e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.1323e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 2.7790e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.9818e-06
 80/229 [=========>....................] - ETA: 0s - loss: 4.9619e-06
121/229 [==============>...............] - ETA: 0s - loss: 3.6124e-06
160/229 [===================>..........] - ETA: 0s - loss: 3.8440e-06
201/229 [=========================>....] - ETA: 0s - loss: 4.2699e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.1421e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 8.2203e-08
 39/229 [====>.........................] - ETA: 0s - loss: 6.7529e-07
 80/229 [=========>....................] - ETA: 0s - loss: 4.6193e-06
121/229 [==============>...............] - ETA: 0s - loss: 6.9225e-06
162/229 [====================>.........] - ETA: 0s - loss: 5.4366e-06
203/229 [=========================>....] - ETA: 0s - loss: 4.7928e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.4494e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 2.8995e-07
 42/229 [====>.........................] - ETA: 0s - loss: 3.4697e-06
 82/229 [=========>....................] - ETA: 0s - loss: 5.1406e-06
123/229 [===============>..............] - ETA: 0s - loss: 3.4430e-06
161/229 [====================>.........] - ETA: 0s - loss: 2.9482e-06
201/229 [=========================>....] - ETA: 0s - loss: 3.5998e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.9579e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.6631e-09
 39/229 [====>.........................] - ETA: 0s - loss: 6.3755e-06
 78/229 [=========>....................] - ETA: 0s - loss: 4.8107e-06
119/229 [==============>...............] - ETA: 0s - loss: 4.0239e-06
160/229 [===================>..........] - ETA: 0s - loss: 4.0967e-06
201/229 [=========================>....] - ETA: 0s - loss: 3.3334e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.6120e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 6.9021e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.2531e-06
 82/229 [=========>....................] - ETA: 0s - loss: 4.1229e-06
121/229 [==============>...............] - ETA: 0s - loss: 4.4828e-06
162/229 [====================>.........] - ETA: 0s - loss: 3.8982e-06
203/229 [=========================>....] - ETA: 0s - loss: 3.5837e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.2263e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 3.0431e-08
 34/229 [===>..........................] - ETA: 0s - loss: 1.7191e-06
 71/229 [========>.....................] - ETA: 0s - loss: 4.5727e-06
111/229 [=============>................] - ETA: 0s - loss: 3.6300e-06
148/229 [==================>...........] - ETA: 0s - loss: 3.0954e-06
181/229 [======================>.......] - ETA: 0s - loss: 2.6249e-06
215/229 [===========================>..] - ETA: 0s - loss: 3.2831e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.1453e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 3.0489e-10
 41/229 [====>.........................] - ETA: 0s - loss: 5.6602e-06
 80/229 [=========>....................] - ETA: 0s - loss: 5.2958e-06
121/229 [==============>...............] - ETA: 0s - loss: 4.4628e-06
161/229 [====================>.........] - ETA: 0s - loss: 3.6488e-06
200/229 [=========================>....] - ETA: 0s - loss: 3.3129e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.9044e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 4.8983e-08
 36/229 [===>..........................] - ETA: 0s - loss: 3.7318e-07
 73/229 [========>.....................] - ETA: 0s - loss: 2.2467e-06
113/229 [=============>................] - ETA: 0s - loss: 2.1466e-06
154/229 [===================>..........] - ETA: 0s - loss: 2.0509e-06
195/229 [========================>.....] - ETA: 0s - loss: 2.4476e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.6037e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 0, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 1
KNN fn, tp: 0, 17
KNN f1 score: 0.971
KNN cohens kappa score: 0.971


------ Step 5/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 44s - loss: 2.2890e-09
 28/229 [==>...........................] - ETA: 0s - loss: 0.0039     
 60/229 [======>.......................] - ETA: 0s - loss: 0.0046
 95/229 [===========>..................] - ETA: 0s - loss: 0.0030
131/229 [================>.............] - ETA: 0s - loss: 0.0022
171/229 [=====================>........] - ETA: 0s - loss: 0.0017
211/229 [==========================>...] - ETA: 0s - loss: 0.0014
229/229 [==============================] - 1s 1ms/step - loss: 0.0013
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 8.2174e-10
 38/229 [===>..........................] - ETA: 0s - loss: 7.1588e-05
 74/229 [========>.....................] - ETA: 0s - loss: 3.8315e-05
110/229 [=============>................] - ETA: 0s - loss: 2.6488e-05
145/229 [=================>............] - ETA: 0s - loss: 3.1056e-05
181/229 [======================>.......] - ETA: 0s - loss: 2.5141e-05
221/229 [===========================>..] - ETA: 0s - loss: 3.7939e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.7062e-05
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 7.1948e-10
 37/229 [===>..........................] - ETA: 0s - loss: 1.5541e-05
 74/229 [========>.....................] - ETA: 0s - loss: 1.2387e-05
109/229 [=============>................] - ETA: 0s - loss: 9.0029e-06
141/229 [=================>............] - ETA: 0s - loss: 1.5646e-05
179/229 [======================>.......] - ETA: 0s - loss: 3.2741e-05
216/229 [===========================>..] - ETA: 0s - loss: 2.7259e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.6036e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 3.1163e-10
 39/229 [====>.........................] - ETA: 0s - loss: 5.8848e-05
 71/229 [========>.....................] - ETA: 0s - loss: 5.1836e-05
104/229 [============>.................] - ETA: 0s - loss: 3.7869e-05
137/229 [================>.............] - ETA: 0s - loss: 2.8781e-05
171/229 [=====================>........] - ETA: 0s - loss: 2.3745e-05
207/229 [==========================>...] - ETA: 0s - loss: 2.1104e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9256e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 8.8131e-04
 39/229 [====>.........................] - ETA: 0s - loss: 2.7359e-05
 73/229 [========>.....................] - ETA: 0s - loss: 1.5384e-05
112/229 [=============>................] - ETA: 0s - loss: 2.2496e-05
146/229 [==================>...........] - ETA: 0s - loss: 1.9788e-05
184/229 [=======================>......] - ETA: 0s - loss: 1.7860e-05
218/229 [===========================>..] - ETA: 0s - loss: 1.5510e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.5290e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.3935e-10
 33/229 [===>..........................] - ETA: 0s - loss: 4.4496e-05
 62/229 [=======>......................] - ETA: 0s - loss: 2.5220e-05
 97/229 [===========>..................] - ETA: 0s - loss: 2.9617e-05
131/229 [================>.............] - ETA: 0s - loss: 2.2072e-05
164/229 [====================>.........] - ETA: 0s - loss: 1.8003e-05
199/229 [=========================>....] - ETA: 0s - loss: 1.5028e-05
229/229 [==============================] - 0s 2ms/step - loss: 1.3314e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 1.4035e-05
 38/229 [===>..........................] - ETA: 0s - loss: 9.8406e-06
 70/229 [========>.....................] - ETA: 0s - loss: 1.6483e-05
106/229 [============>.................] - ETA: 0s - loss: 1.1395e-05
142/229 [=================>............] - ETA: 0s - loss: 1.6901e-05
178/229 [======================>.......] - ETA: 0s - loss: 1.5440e-05
218/229 [===========================>..] - ETA: 0s - loss: 1.2771e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2220e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 8.8334e-10
 35/229 [===>..........................] - ETA: 0s - loss: 1.7231e-06
 73/229 [========>.....................] - ETA: 0s - loss: 1.5904e-06
104/229 [============>.................] - ETA: 0s - loss: 3.0808e-06
143/229 [=================>............] - ETA: 0s - loss: 1.0076e-05
178/229 [======================>.......] - ETA: 0s - loss: 8.3989e-06
215/229 [===========================>..] - ETA: 0s - loss: 1.0988e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0616e-05
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 4.1271e-10
 38/229 [===>..........................] - ETA: 0s - loss: 1.4767e-05
 76/229 [========>.....................] - ETA: 0s - loss: 1.2223e-05
114/229 [=============>................] - ETA: 0s - loss: 8.9221e-06
146/229 [==================>...........] - ETA: 0s - loss: 8.0361e-06
184/229 [=======================>......] - ETA: 0s - loss: 7.2082e-06
219/229 [===========================>..] - ETA: 0s - loss: 9.8201e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.4203e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 5.1632e-10
 37/229 [===>..........................] - ETA: 0s - loss: 1.3962e-05
 75/229 [========>.....................] - ETA: 0s - loss: 1.4307e-05
113/229 [=============>................] - ETA: 0s - loss: 9.6308e-06
152/229 [==================>...........] - ETA: 0s - loss: 8.9101e-06
188/229 [=======================>......] - ETA: 0s - loss: 8.6789e-06
227/229 [============================>.] - ETA: 0s - loss: 8.6133e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.5643e-06
-> test with GAN.predict
GAN tn, fp: 570, 1
GAN fn, tp: 0, 17
GAN f1 score: 0.971
GAN cohens kappa score: 0.971

-> test with 'LR'
LR tn, fp: 570, 1
LR fn, tp: 0, 17
LR f1 score: 0.971
LR cohens kappa score: 0.971
LR average precision score: 0.990

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 571, 0
KNN fn, tp: 2, 15
KNN f1 score: 0.938
KNN cohens kappa score: 0.936


------ Step 5/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 49s - loss: 0.0018
 42/229 [====>.........................] - ETA: 0s - loss: 2.5579e-04
 83/229 [=========>....................] - ETA: 0s - loss: 8.7248e-04
121/229 [==============>...............] - ETA: 0s - loss: 8.3009e-04
156/229 [===================>..........] - ETA: 0s - loss: 6.4401e-04
191/229 [========================>.....] - ETA: 0s - loss: 0.0029    
228/229 [============================>.] - ETA: 0s - loss: 0.0024
229/229 [==============================] - 1s 1ms/step - loss: 0.0024
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 9.5523e-10
 37/229 [===>..........................] - ETA: 0s - loss: 9.6474e-05
 73/229 [========>.....................] - ETA: 0s - loss: 3.8538e-04
110/229 [=============>................] - ETA: 0s - loss: 2.5784e-04
145/229 [=================>............] - ETA: 0s - loss: 2.4139e-04
182/229 [======================>.......] - ETA: 0s - loss: 1.9553e-04
217/229 [===========================>..] - ETA: 0s - loss: 1.6405e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5617e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 1.1939e-10
 37/229 [===>..........................] - ETA: 0s - loss: 5.3251e-07
 77/229 [=========>....................] - ETA: 0s - loss: 2.2476e-05
116/229 [==============>...............] - ETA: 0s - loss: 1.5083e-05
152/229 [==================>...........] - ETA: 0s - loss: 1.1550e-05
190/229 [=======================>......] - ETA: 0s - loss: 9.5020e-06
227/229 [============================>.] - ETA: 0s - loss: 8.6015e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.5556e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 1.1318e-10
 33/229 [===>..........................] - ETA: 0s - loss: 2.2400e-07
 69/229 [========>.....................] - ETA: 0s - loss: 4.3346e-06
101/229 [============>.................] - ETA: 0s - loss: 3.5591e-06
131/229 [================>.............] - ETA: 0s - loss: 8.7695e-06
164/229 [====================>.........] - ETA: 0s - loss: 7.5479e-06
197/229 [========================>.....] - ETA: 0s - loss: 7.6679e-06
229/229 [==============================] - 0s 2ms/step - loss: 6.6340e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 1.6482e-06
 36/229 [===>..........................] - ETA: 0s - loss: 7.0708e-06
 69/229 [========>.....................] - ETA: 0s - loss: 5.2752e-06
102/229 [============>.................] - ETA: 0s - loss: 3.7186e-06
137/229 [================>.............] - ETA: 0s - loss: 7.7826e-06
171/229 [=====================>........] - ETA: 0s - loss: 7.4211e-06
204/229 [=========================>....] - ETA: 0s - loss: 6.2980e-06
229/229 [==============================] - 0s 2ms/step - loss: 5.6903e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 5.9077e-06
 33/229 [===>..........................] - ETA: 0s - loss: 5.6078e-07
 66/229 [=======>......................] - ETA: 0s - loss: 1.1568e-05
101/229 [============>.................] - ETA: 0s - loss: 7.5867e-06
134/229 [================>.............] - ETA: 0s - loss: 5.9219e-06
171/229 [=====================>........] - ETA: 0s - loss: 5.4680e-06
207/229 [==========================>...] - ETA: 0s - loss: 5.4644e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.0963e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 4.8280e-09
 33/229 [===>..........................] - ETA: 0s - loss: 1.5437e-05
 66/229 [=======>......................] - ETA: 0s - loss: 1.0942e-05
 99/229 [===========>..................] - ETA: 0s - loss: 7.7319e-06
134/229 [================>.............] - ETA: 0s - loss: 6.7534e-06
168/229 [=====================>........] - ETA: 0s - loss: 5.7288e-06
201/229 [=========================>....] - ETA: 0s - loss: 4.8409e-06
229/229 [==============================] - 0s 2ms/step - loss: 4.7162e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.1209e-10
 34/229 [===>..........................] - ETA: 0s - loss: 3.1077e-07
 71/229 [========>.....................] - ETA: 0s - loss: 5.7025e-06
106/229 [============>.................] - ETA: 0s - loss: 4.1347e-06
140/229 [=================>............] - ETA: 0s - loss: 5.0427e-06
176/229 [======================>.......] - ETA: 0s - loss: 4.5343e-06
214/229 [===========================>..] - ETA: 0s - loss: 4.4475e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.4460e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.5033e-10
 34/229 [===>..........................] - ETA: 0s - loss: 7.0944e-06
 69/229 [========>.....................] - ETA: 0s - loss: 9.7407e-06
105/229 [============>.................] - ETA: 0s - loss: 6.5164e-06
141/229 [=================>............] - ETA: 0s - loss: 6.0997e-06
175/229 [=====================>........] - ETA: 0s - loss: 5.1256e-06
204/229 [=========================>....] - ETA: 0s - loss: 4.4754e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.1396e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 3.3343e-10
 37/229 [===>..........................] - ETA: 0s - loss: 1.6744e-07
 72/229 [========>.....................] - ETA: 0s - loss: 1.0847e-06
106/229 [============>.................] - ETA: 0s - loss: 3.6187e-06
137/229 [================>.............] - ETA: 0s - loss: 3.9675e-06
172/229 [=====================>........] - ETA: 0s - loss: 4.9934e-06
207/229 [==========================>...] - ETA: 0s - loss: 4.3358e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.9382e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 571, 0
LR fn, tp: 1, 16
LR f1 score: 0.970
LR cohens kappa score: 0.969
LR average precision score: 0.991

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 1, 16
RF f1 score: 0.970
RF cohens kappa score: 0.969

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 567, 4
KNN fn, tp: 0, 17
KNN f1 score: 0.895
KNN cohens kappa score: 0.891


------ Step 5/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2219 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 42s - loss: 1.7361e-07
 36/229 [===>..........................] - ETA: 0s - loss: 0.0047     
 74/229 [========>.....................] - ETA: 0s - loss: 0.0030
113/229 [=============>................] - ETA: 0s - loss: 0.0020
152/229 [==================>...........] - ETA: 0s - loss: 0.0015
190/229 [=======================>......] - ETA: 0s - loss: 0.0012
225/229 [============================>.] - ETA: 0s - loss: 0.0010
229/229 [==============================] - 0s 1ms/step - loss: 9.9355e-04
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 1.2869e-09
 38/229 [===>..........................] - ETA: 0s - loss: 1.5119e-05
 72/229 [========>.....................] - ETA: 0s - loss: 1.2141e-05
100/229 [============>.................] - ETA: 0s - loss: 1.2329e-05
136/229 [================>.............] - ETA: 0s - loss: 9.7140e-06
173/229 [=====================>........] - ETA: 0s - loss: 8.8036e-06
211/229 [==========================>...] - ETA: 0s - loss: 7.3108e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.6369e-06
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 7.6138e-10
 38/229 [===>..........................] - ETA: 0s - loss: 5.7801e-06
 75/229 [========>.....................] - ETA: 0s - loss: 3.5286e-06
112/229 [=============>................] - ETA: 0s - loss: 3.1954e-06
144/229 [=================>............] - ETA: 0s - loss: 4.3297e-06
180/229 [======================>.......] - ETA: 0s - loss: 3.8946e-06
216/229 [===========================>..] - ETA: 0s - loss: 4.3937e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.1601e-06
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 1.6461e-09
 36/229 [===>..........................] - ETA: 0s - loss: 3.3765e-06
 73/229 [========>.....................] - ETA: 0s - loss: 3.8839e-06
109/229 [=============>................] - ETA: 0s - loss: 3.2251e-06
145/229 [=================>............] - ETA: 0s - loss: 2.6463e-06
182/229 [======================>.......] - ETA: 0s - loss: 2.9620e-06
219/229 [===========================>..] - ETA: 0s - loss: 3.4236e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.2922e-06
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 9.7892e-10
 38/229 [===>..........................] - ETA: 0s - loss: 4.6791e-06
 74/229 [========>.....................] - ETA: 0s - loss: 2.5979e-06
111/229 [=============>................] - ETA: 0s - loss: 1.8365e-06
149/229 [==================>...........] - ETA: 0s - loss: 1.7783e-06
186/229 [=======================>......] - ETA: 0s - loss: 1.5075e-06
225/229 [============================>.] - ETA: 0s - loss: 2.9754e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.9324e-06
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 1.0313e-09
 40/229 [====>.........................] - ETA: 0s - loss: 2.4267e-06
 76/229 [========>.....................] - ETA: 0s - loss: 1.5122e-06
112/229 [=============>................] - ETA: 0s - loss: 2.7773e-06
150/229 [==================>...........] - ETA: 0s - loss: 2.6865e-06
187/229 [=======================>......] - ETA: 0s - loss: 2.6385e-06
223/229 [============================>.] - ETA: 0s - loss: 2.8680e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.8035e-06
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 4.5082e-09
 39/229 [====>.........................] - ETA: 0s - loss: 3.1971e-06
 74/229 [========>.....................] - ETA: 0s - loss: 3.4528e-06
111/229 [=============>................] - ETA: 0s - loss: 3.1999e-06
147/229 [==================>...........] - ETA: 0s - loss: 2.6614e-06
184/229 [=======================>......] - ETA: 0s - loss: 3.1466e-06
220/229 [===========================>..] - ETA: 0s - loss: 2.6688e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.6855e-06
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 1.3423e-06
 40/229 [====>.........................] - ETA: 0s - loss: 1.3821e-06
 81/229 [=========>....................] - ETA: 0s - loss: 3.4610e-06
118/229 [==============>...............] - ETA: 0s - loss: 3.2216e-06
153/229 [===================>..........] - ETA: 0s - loss: 2.8977e-06
189/229 [=======================>......] - ETA: 0s - loss: 2.4336e-06
225/229 [============================>.] - ETA: 0s - loss: 2.6259e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.5882e-06
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 5.7332e-05
 32/229 [===>..........................] - ETA: 0s - loss: 1.9941e-06
 62/229 [=======>......................] - ETA: 0s - loss: 2.7893e-06
 94/229 [===========>..................] - ETA: 0s - loss: 4.0278e-06
131/229 [================>.............] - ETA: 0s - loss: 3.8126e-06
165/229 [====================>.........] - ETA: 0s - loss: 3.0934e-06
195/229 [========================>.....] - ETA: 0s - loss: 2.7965e-06
229/229 [==============================] - 0s 2ms/step - loss: 2.5309e-06
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 2.5057e-06
 38/229 [===>..........................] - ETA: 0s - loss: 1.2622e-06
 74/229 [========>.....................] - ETA: 0s - loss: 1.5635e-06
109/229 [=============>................] - ETA: 0s - loss: 2.0980e-06
145/229 [=================>............] - ETA: 0s - loss: 1.6796e-06
181/229 [======================>.......] - ETA: 0s - loss: 1.5137e-06
217/229 [===========================>..] - ETA: 0s - loss: 2.5622e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.4355e-06
-> test with GAN.predict
GAN tn, fp: 571, 0
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 570, 1
LR fn, tp: 2, 15
LR f1 score: 0.909
LR cohens kappa score: 0.906
LR average precision score: 0.990

-> test with 'RF'
RF tn, fp: 571, 0
RF fn, tp: 0, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 571, 0
GB fn, tp: 0, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 569, 2
KNN fn, tp: 0, 17
KNN f1 score: 0.944
KNN cohens kappa score: 0.943


------ Step 5/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2216 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/229 [..............................] - ETA: 44s - loss: 1.7639e-10
 42/229 [====>.........................] - ETA: 0s - loss: 0.0065     
 83/229 [=========>....................] - ETA: 0s - loss: 0.0033
124/229 [===============>..............] - ETA: 0s - loss: 0.0028
165/229 [====================>.........] - ETA: 0s - loss: 0.0032
203/229 [=========================>....] - ETA: 0s - loss: 0.0026
229/229 [==============================] - 0s 1ms/step - loss: 0.0032
Epoch 2/10

  1/229 [..............................] - ETA: 0s - loss: 5.2677e-08
 42/229 [====>.........................] - ETA: 0s - loss: 5.0941e-04
 83/229 [=========>....................] - ETA: 0s - loss: 3.0129e-04
122/229 [==============>...............] - ETA: 0s - loss: 2.4159e-04
164/229 [====================>.........] - ETA: 0s - loss: 2.0967e-04
204/229 [=========================>....] - ETA: 0s - loss: 1.6885e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5222e-04
Epoch 3/10

  1/229 [..............................] - ETA: 0s - loss: 3.0579e-11
 37/229 [===>..........................] - ETA: 0s - loss: 2.4720e-06
 68/229 [=======>......................] - ETA: 0s - loss: 3.2126e-05
105/229 [============>.................] - ETA: 0s - loss: 3.0066e-05
148/229 [==================>...........] - ETA: 0s - loss: 4.5617e-05
188/229 [=======================>......] - ETA: 0s - loss: 3.6896e-05
228/229 [============================>.] - ETA: 0s - loss: 3.1085e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.1030e-05
Epoch 4/10

  1/229 [..............................] - ETA: 0s - loss: 3.1451e-11
 42/229 [====>.........................] - ETA: 0s - loss: 5.7981e-06
 82/229 [=========>....................] - ETA: 0s - loss: 2.3222e-05
120/229 [==============>...............] - ETA: 0s - loss: 1.7162e-05
160/229 [===================>..........] - ETA: 0s - loss: 2.0339e-05
201/229 [=========================>....] - ETA: 0s - loss: 1.8159e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.3090e-05
Epoch 5/10

  1/229 [..............................] - ETA: 0s - loss: 3.1581e-11
 40/229 [====>.........................] - ETA: 0s - loss: 3.0172e-05
 77/229 [=========>....................] - ETA: 0s - loss: 2.5108e-05
117/229 [==============>...............] - ETA: 0s - loss: 1.9159e-05
157/229 [===================>..........] - ETA: 0s - loss: 2.4610e-05
198/229 [========================>.....] - ETA: 0s - loss: 2.1502e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9300e-05
Epoch 6/10

  1/229 [..............................] - ETA: 0s - loss: 3.7822e-10
 40/229 [====>.........................] - ETA: 0s - loss: 2.2365e-06
 81/229 [=========>....................] - ETA: 0s - loss: 2.2503e-05
121/229 [==============>...............] - ETA: 0s - loss: 1.8189e-05
161/229 [====================>.........] - ETA: 0s - loss: 1.9497e-05
196/229 [========================>.....] - ETA: 0s - loss: 1.6369e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.6210e-05
Epoch 7/10

  1/229 [..............................] - ETA: 0s - loss: 7.3414e-11
 40/229 [====>.........................] - ETA: 0s - loss: 1.9204e-05
 80/229 [=========>....................] - ETA: 0s - loss: 1.0256e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.3304e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.8052e-05
201/229 [=========================>....] - ETA: 0s - loss: 1.6216e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4990e-05
Epoch 8/10

  1/229 [..............................] - ETA: 0s - loss: 2.6323e-11
 40/229 [====>.........................] - ETA: 0s - loss: 1.2612e-05
 80/229 [=========>....................] - ETA: 0s - loss: 1.0289e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.2129e-05
158/229 [===================>..........] - ETA: 0s - loss: 1.0592e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.5480e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3948e-05
Epoch 9/10

  1/229 [..............................] - ETA: 0s - loss: 1.1118e-09
 43/229 [====>.........................] - ETA: 0s - loss: 4.4358e-06
 80/229 [=========>....................] - ETA: 0s - loss: 1.3959e-05
113/229 [=============>................] - ETA: 0s - loss: 1.4532e-05
147/229 [==================>...........] - ETA: 0s - loss: 1.3205e-05
181/229 [======================>.......] - ETA: 0s - loss: 1.2642e-05
217/229 [===========================>..] - ETA: 0s - loss: 1.3426e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2826e-05
Epoch 10/10

  1/229 [..............................] - ETA: 0s - loss: 2.4762e-05
 35/229 [===>..........................] - ETA: 0s - loss: 7.3687e-06
 65/229 [=======>......................] - ETA: 0s - loss: 6.5563e-06
 97/229 [===========>..................] - ETA: 0s - loss: 6.9274e-06
132/229 [================>.............] - ETA: 0s - loss: 8.2898e-06
171/229 [=====================>........] - ETA: 0s - loss: 8.2618e-06
209/229 [==========================>...] - ETA: 0s - loss: 1.2975e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.1945e-05
-> test with GAN.predict
GAN tn, fp: 570, 0
GAN fn, tp: 0, 13
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 570, 0
LR fn, tp: 0, 13
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000

-> test with 'RF'
RF tn, fp: 570, 0
RF fn, tp: 0, 13
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 570, 0
GB fn, tp: 0, 13
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 570, 0
KNN fn, tp: 0, 13
KNN f1 score: 1.000
KNN cohens kappa score: 1.000

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 571, 4
LR fn, tp: 2, 17
LR f1 score: 1.000
LR cohens kappa score: 1.000
LR average precision score: 1.000


average:
LR tn, fp: 570.28, 0.52
LR fn, tp: 0.56, 15.64
LR f1 score: 0.965
LR cohens kappa score: 0.965
LR average precision score: 0.989


minimum:
LR tn, fp: 566, 0
LR fn, tp: 0, 11
LR f1 score: 0.828
LR cohens kappa score: 0.823
LR average precision score: 0.911


-----[ RF ]-----
maximum:
RF tn, fp: 571, 0
RF fn, tp: 2, 17
RF f1 score: 1.000
RF cohens kappa score: 1.000


average:
RF tn, fp: 570.8, 0.0
RF fn, tp: 0.24, 15.96
RF f1 score: 0.992
RF cohens kappa score: 0.992


minimum:
RF tn, fp: 570, 0
RF fn, tp: 0, 12
RF f1 score: 0.938
RF cohens kappa score: 0.936


-----[ GB ]-----
maximum:
GB tn, fp: 571, 2
GB fn, tp: 2, 17
GB f1 score: 1.000
GB cohens kappa score: 1.000


average:
GB tn, fp: 570.72, 0.08
GB fn, tp: 0.08, 16.12
GB f1 score: 0.995
GB cohens kappa score: 0.995


minimum:
GB tn, fp: 569, 0
GB fn, tp: 0, 13
GB f1 score: 0.938
GB cohens kappa score: 0.936


-----[ KNN ]-----
maximum:
KNN tn, fp: 571, 4
KNN fn, tp: 2, 17
KNN f1 score: 1.000
KNN cohens kappa score: 1.000


average:
KNN tn, fp: 569.84, 0.96
KNN fn, tp: 0.36, 15.84
KNN f1 score: 0.961
KNN cohens kappa score: 0.960


minimum:
KNN tn, fp: 567, 0
KNN fn, tp: 0, 13
KNN f1 score: 0.895
KNN cohens kappa score: 0.891


-----[ GAN ]-----
maximum:
GAN tn, fp: 571, 1
GAN fn, tp: 0, 17
GAN f1 score: 1.000
GAN cohens kappa score: 1.000


average:
GAN tn, fp: 570.64, 0.16
GAN fn, tp: 0.0, 16.2
GAN f1 score: 0.995
GAN cohens kappa score: 0.995


minimum:
GAN tn, fp: 569, 0
GAN fn, tp: 0, 13
GAN f1 score: 0.963
GAN cohens kappa score: 0.962