ConvGeNBenchmarkResults/data_result/convGAN-proximity-5/folding_hypothyroid.log

///////////////////////////////////////////
// Running convGAN-proximary-5 on folding_hypothyroid
///////////////////////////////////////////

Load 'data_input/folding_hypothyroid'
from pickle file
non empty cut in data_input/folding_hypothyroid! (1 points)
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 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 41s - loss: 0.0591
 41/241 [====>.........................] - ETA: 0s - loss: 0.1765 
 79/241 [========>.....................] - ETA: 0s - loss: 0.1426
118/241 [=============>................] - ETA: 0s - loss: 0.1285
157/241 [==================>...........] - ETA: 0s - loss: 0.1230
198/241 [=======================>......] - ETA: 0s - loss: 0.1192
236/241 [============================>.] - ETA: 0s - loss: 0.1140
241/241 [==============================] - 0s 1ms/step - loss: 0.1131
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0793
 40/241 [===>..........................] - ETA: 0s - loss: 0.0880
 78/241 [========>.....................] - ETA: 0s - loss: 0.0836
118/241 [=============>................] - ETA: 0s - loss: 0.0818
158/241 [==================>...........] - ETA: 0s - loss: 0.0851
197/241 [=======================>......] - ETA: 0s - loss: 0.0822
232/241 [===========================>..] - ETA: 0s - loss: 0.0798
241/241 [==============================] - 0s 1ms/step - loss: 0.0799
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0766
 42/241 [====>.........................] - ETA: 0s - loss: 0.0897
 82/241 [=========>....................] - ETA: 0s - loss: 0.0766
122/241 [==============>...............] - ETA: 0s - loss: 0.0776
162/241 [===================>..........] - ETA: 0s - loss: 0.0769
201/241 [========================>.....] - ETA: 0s - loss: 0.0740
240/241 [============================>.] - ETA: 0s - loss: 0.0744
241/241 [==============================] - 0s 1ms/step - loss: 0.0742
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.1192
 40/241 [===>..........................] - ETA: 0s - loss: 0.0679
 78/241 [========>.....................] - ETA: 0s - loss: 0.0675
115/241 [=============>................] - ETA: 0s - loss: 0.0680
156/241 [==================>...........] - ETA: 0s - loss: 0.0663
193/241 [=======================>......] - ETA: 0s - loss: 0.0701
222/241 [==========================>...] - ETA: 0s - loss: 0.0685
241/241 [==============================] - 0s 1ms/step - loss: 0.0685
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0045
 35/241 [===>..........................] - ETA: 0s - loss: 0.0578
 72/241 [=======>......................] - ETA: 0s - loss: 0.0646
111/241 [============>.................] - ETA: 0s - loss: 0.0678
150/241 [=================>............] - ETA: 0s - loss: 0.0642
188/241 [======================>.......] - ETA: 0s - loss: 0.0651
227/241 [===========================>..] - ETA: 0s - loss: 0.0693
241/241 [==============================] - 0s 1ms/step - loss: 0.0686
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0489
 41/241 [====>.........................] - ETA: 0s - loss: 0.0512
 79/241 [========>.....................] - ETA: 0s - loss: 0.0617
116/241 [=============>................] - ETA: 0s - loss: 0.0598
155/241 [==================>...........] - ETA: 0s - loss: 0.0642
196/241 [=======================>......] - ETA: 0s - loss: 0.0678
236/241 [============================>.] - ETA: 0s - loss: 0.0687
241/241 [==============================] - 0s 1ms/step - loss: 0.0691
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0762
 41/241 [====>.........................] - ETA: 0s - loss: 0.0579
 80/241 [========>.....................] - ETA: 0s - loss: 0.0606
121/241 [==============>...............] - ETA: 0s - loss: 0.0584
159/241 [==================>...........] - ETA: 0s - loss: 0.0642
199/241 [=======================>......] - ETA: 0s - loss: 0.0617
240/241 [============================>.] - ETA: 0s - loss: 0.0608
241/241 [==============================] - 0s 1ms/step - loss: 0.0607
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0445
 41/241 [====>.........................] - ETA: 0s - loss: 0.0544
 82/241 [=========>....................] - ETA: 0s - loss: 0.0591
123/241 [==============>...............] - ETA: 0s - loss: 0.0612
162/241 [===================>..........] - ETA: 0s - loss: 0.0610
202/241 [========================>.....] - ETA: 0s - loss: 0.0583
241/241 [==============================] - 0s 1ms/step - loss: 0.0605
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0125
 42/241 [====>.........................] - ETA: 0s - loss: 0.0694
 80/241 [========>.....................] - ETA: 0s - loss: 0.0696
120/241 [=============>................] - ETA: 0s - loss: 0.0756
159/241 [==================>...........] - ETA: 0s - loss: 0.0731
198/241 [=======================>......] - ETA: 0s - loss: 0.0707
238/241 [============================>.] - ETA: 0s - loss: 0.0683
241/241 [==============================] - 0s 1ms/step - loss: 0.0677
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0944
 39/241 [===>..........................] - ETA: 0s - loss: 0.0487
 79/241 [========>.....................] - ETA: 0s - loss: 0.0521
117/241 [=============>................] - ETA: 0s - loss: 0.0539
154/241 [==================>...........] - ETA: 0s - loss: 0.0545
189/241 [======================>.......] - ETA: 0s - loss: 0.0564
223/241 [==========================>...] - ETA: 0s - loss: 0.0567
241/241 [==============================] - 0s 1ms/step - loss: 0.0564
-> test with GAN.predict
GAN tn, fp: 567, 36
GAN fn, tp: 5, 26
GAN f1 score: 0.559
GAN cohens kappa score: 0.528

-> test with 'LR'
LR tn, fp: 523, 80
LR fn, tp: 4, 27
LR f1 score: 0.391
LR cohens kappa score: 0.341
LR average precision score: 0.456

-> test with 'RF'
RF tn, fp: 600, 3
RF fn, tp: 5, 26
RF f1 score: 0.867
RF cohens kappa score: 0.860

-> test with 'GB'
GB tn, fp: 593, 10
GB fn, tp: 4, 27
GB f1 score: 0.794
GB cohens kappa score: 0.783

-> test with 'KNN'
KNN tn, fp: 579, 24
KNN fn, tp: 5, 26
KNN f1 score: 0.642
KNN cohens kappa score: 0.619


------ Step 1/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 42s - loss: 0.1728
 42/241 [====>.........................] - ETA: 0s - loss: 0.1285 
 82/241 [=========>....................] - ETA: 0s - loss: 0.1122
122/241 [==============>...............] - ETA: 0s - loss: 0.1058
162/241 [===================>..........] - ETA: 0s - loss: 0.1043
203/241 [========================>.....] - ETA: 0s - loss: 0.0987
241/241 [==============================] - 0s 1ms/step - loss: 0.0961
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0629
 42/241 [====>.........................] - ETA: 0s - loss: 0.0558
 76/241 [========>.....................] - ETA: 0s - loss: 0.0615
115/241 [=============>................] - ETA: 0s - loss: 0.0704
154/241 [==================>...........] - ETA: 0s - loss: 0.0700
190/241 [======================>.......] - ETA: 0s - loss: 0.0769
223/241 [==========================>...] - ETA: 0s - loss: 0.0807
241/241 [==============================] - 0s 1ms/step - loss: 0.0808
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0222
 34/241 [===>..........................] - ETA: 0s - loss: 0.0781
 74/241 [========>.....................] - ETA: 0s - loss: 0.0670
114/241 [=============>................] - ETA: 0s - loss: 0.0729
150/241 [=================>............] - ETA: 0s - loss: 0.0706
190/241 [======================>.......] - ETA: 0s - loss: 0.0700
230/241 [===========================>..] - ETA: 0s - loss: 0.0654
241/241 [==============================] - 0s 1ms/step - loss: 0.0673
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.1135
 42/241 [====>.........................] - ETA: 0s - loss: 0.0559
 81/241 [=========>....................] - ETA: 0s - loss: 0.0542
121/241 [==============>...............] - ETA: 0s - loss: 0.0579
161/241 [===================>..........] - ETA: 0s - loss: 0.0633
201/241 [========================>.....] - ETA: 0s - loss: 0.0642
241/241 [==============================] - 0s 1ms/step - loss: 0.0626
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0108
 41/241 [====>.........................] - ETA: 0s - loss: 0.0536
 82/241 [=========>....................] - ETA: 0s - loss: 0.0489
122/241 [==============>...............] - ETA: 0s - loss: 0.0624
162/241 [===================>..........] - ETA: 0s - loss: 0.0576
199/241 [=======================>......] - ETA: 0s - loss: 0.0589
235/241 [============================>.] - ETA: 0s - loss: 0.0580
241/241 [==============================] - 0s 1ms/step - loss: 0.0578
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0339
 36/241 [===>..........................] - ETA: 0s - loss: 0.0637
 73/241 [========>.....................] - ETA: 0s - loss: 0.0580
110/241 [============>.................] - ETA: 0s - loss: 0.0541
147/241 [=================>............] - ETA: 0s - loss: 0.0552
185/241 [======================>.......] - ETA: 0s - loss: 0.0568
224/241 [==========================>...] - ETA: 0s - loss: 0.0631
241/241 [==============================] - 0s 1ms/step - loss: 0.0622
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0094
 40/241 [===>..........................] - ETA: 0s - loss: 0.0681
 81/241 [=========>....................] - ETA: 0s - loss: 0.0611
121/241 [==============>...............] - ETA: 0s - loss: 0.0588
162/241 [===================>..........] - ETA: 0s - loss: 0.0560
200/241 [=======================>......] - ETA: 0s - loss: 0.0556
238/241 [============================>.] - ETA: 0s - loss: 0.0562
241/241 [==============================] - 0s 1ms/step - loss: 0.0564
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0091
 40/241 [===>..........................] - ETA: 0s - loss: 0.0693
 80/241 [========>.....................] - ETA: 0s - loss: 0.0610
116/241 [=============>................] - ETA: 0s - loss: 0.0575
143/241 [================>.............] - ETA: 0s - loss: 0.0576
161/241 [===================>..........] - ETA: 0s - loss: 0.0547
201/241 [========================>.....] - ETA: 0s - loss: 0.0549
241/241 [==============================] - ETA: 0s - loss: 0.0549
241/241 [==============================] - 0s 1ms/step - loss: 0.0549
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0231
 39/241 [===>..........................] - ETA: 0s - loss: 0.0395
 63/241 [======>.......................] - ETA: 0s - loss: 0.0505
 80/241 [========>.....................] - ETA: 0s - loss: 0.0535
115/241 [=============>................] - ETA: 0s - loss: 0.0495
151/241 [=================>............] - ETA: 0s - loss: 0.0509
188/241 [======================>.......] - ETA: 0s - loss: 0.0534
226/241 [===========================>..] - ETA: 0s - loss: 0.0515
241/241 [==============================] - 0s 2ms/step - loss: 0.0519
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0122
 35/241 [===>..........................] - ETA: 0s - loss: 0.0356
 75/241 [========>.....................] - ETA: 0s - loss: 0.0450
115/241 [=============>................] - ETA: 0s - loss: 0.0460
151/241 [=================>............] - ETA: 0s - loss: 0.0483
165/241 [===================>..........] - ETA: 0s - loss: 0.0482
195/241 [=======================>......] - ETA: 0s - loss: 0.0499
236/241 [============================>.] - ETA: 0s - loss: 0.0532
241/241 [==============================] - 0s 1ms/step - loss: 0.0532
-> test with GAN.predict
GAN tn, fp: 575, 28
GAN fn, tp: 4, 27
GAN f1 score: 0.628
GAN cohens kappa score: 0.603

-> test with 'LR'
LR tn, fp: 511, 92
LR fn, tp: 3, 28
LR f1 score: 0.371
LR cohens kappa score: 0.318
LR average precision score: 0.456

-> test with 'RF'
RF tn, fp: 594, 9
RF fn, tp: 4, 27
RF f1 score: 0.806
RF cohens kappa score: 0.795

-> test with 'GB'
GB tn, fp: 587, 16
GB fn, tp: 2, 29
GB f1 score: 0.763
GB cohens kappa score: 0.749

-> test with 'KNN'
KNN tn, fp: 568, 35
KNN fn, tp: 6, 25
KNN f1 score: 0.549
KNN cohens kappa score: 0.518


------ Step 1/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 1:24 - loss: 0.6787
 41/241 [====>.........................] - ETA: 0s - loss: 0.4816  
 82/241 [=========>....................] - ETA: 0s - loss: 0.3049
123/241 [==============>...............] - ETA: 0s - loss: 0.2376
164/241 [===================>..........] - ETA: 0s - loss: 0.2025
204/241 [========================>.....] - ETA: 0s - loss: 0.1821
241/241 [==============================] - 1s 1ms/step - loss: 0.1718
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.3753
 40/241 [===>..........................] - ETA: 0s - loss: 0.0822
 80/241 [========>.....................] - ETA: 0s - loss: 0.0836
120/241 [=============>................] - ETA: 0s - loss: 0.0800
158/241 [==================>...........] - ETA: 0s - loss: 0.0764
198/241 [=======================>......] - ETA: 0s - loss: 0.0844
238/241 [============================>.] - ETA: 0s - loss: 0.0820
241/241 [==============================] - 0s 1ms/step - loss: 0.0818
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0954
 39/241 [===>..........................] - ETA: 0s - loss: 0.0461
 80/241 [========>.....................] - ETA: 0s - loss: 0.0626
120/241 [=============>................] - ETA: 0s - loss: 0.0637
158/241 [==================>...........] - ETA: 0s - loss: 0.0713
197/241 [=======================>......] - ETA: 0s - loss: 0.0734
237/241 [============================>.] - ETA: 0s - loss: 0.0724
241/241 [==============================] - 0s 1ms/step - loss: 0.0723
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0899
 41/241 [====>.........................] - ETA: 0s - loss: 0.0589
 75/241 [========>.....................] - ETA: 0s - loss: 0.0596
109/241 [============>.................] - ETA: 0s - loss: 0.0573
142/241 [================>.............] - ETA: 0s - loss: 0.0603
175/241 [====================>.........] - ETA: 0s - loss: 0.0620
215/241 [=========================>....] - ETA: 0s - loss: 0.0663
241/241 [==============================] - 0s 1ms/step - loss: 0.0680
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0146
 40/241 [===>..........................] - ETA: 0s - loss: 0.0578
 78/241 [========>.....................] - ETA: 0s - loss: 0.0607
114/241 [=============>................] - ETA: 0s - loss: 0.0618
153/241 [==================>...........] - ETA: 0s - loss: 0.0651
192/241 [======================>.......] - ETA: 0s - loss: 0.0664
231/241 [===========================>..] - ETA: 0s - loss: 0.0649
241/241 [==============================] - 0s 1ms/step - loss: 0.0648
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0988
 41/241 [====>.........................] - ETA: 0s - loss: 0.0419
 82/241 [=========>....................] - ETA: 0s - loss: 0.0523
122/241 [==============>...............] - ETA: 0s - loss: 0.0643
162/241 [===================>..........] - ETA: 0s - loss: 0.0647
202/241 [========================>.....] - ETA: 0s - loss: 0.0645
240/241 [============================>.] - ETA: 0s - loss: 0.0651
241/241 [==============================] - 0s 1ms/step - loss: 0.0656
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0321
 41/241 [====>.........................] - ETA: 0s - loss: 0.0564
 81/241 [=========>....................] - ETA: 0s - loss: 0.0684
121/241 [==============>...............] - ETA: 0s - loss: 0.0686
159/241 [==================>...........] - ETA: 0s - loss: 0.0698
198/241 [=======================>......] - ETA: 0s - loss: 0.0669
238/241 [============================>.] - ETA: 0s - loss: 0.0644
241/241 [==============================] - 0s 1ms/step - loss: 0.0638
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0038
 40/241 [===>..........................] - ETA: 0s - loss: 0.0628
 79/241 [========>.....................] - ETA: 0s - loss: 0.0503
117/241 [=============>................] - ETA: 0s - loss: 0.0495
156/241 [==================>...........] - ETA: 0s - loss: 0.0506
196/241 [=======================>......] - ETA: 0s - loss: 0.0551
235/241 [============================>.] - ETA: 0s - loss: 0.0564
241/241 [==============================] - 0s 1ms/step - loss: 0.0565
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0210
 41/241 [====>.........................] - ETA: 0s - loss: 0.0465
 80/241 [========>.....................] - ETA: 0s - loss: 0.0555
121/241 [==============>...............] - ETA: 0s - loss: 0.0557
159/241 [==================>...........] - ETA: 0s - loss: 0.0582
199/241 [=======================>......] - ETA: 0s - loss: 0.0571
240/241 [============================>.] - ETA: 0s - loss: 0.0582
241/241 [==============================] - 0s 1ms/step - loss: 0.0583
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.2671
 40/241 [===>..........................] - ETA: 0s - loss: 0.0659
 79/241 [========>.....................] - ETA: 0s - loss: 0.0674
118/241 [=============>................] - ETA: 0s - loss: 0.0667
149/241 [=================>............] - ETA: 0s - loss: 0.0716
187/241 [======================>.......] - ETA: 0s - loss: 0.0679
225/241 [===========================>..] - ETA: 0s - loss: 0.0649
241/241 [==============================] - 0s 1ms/step - loss: 0.0639
-> test with GAN.predict
GAN tn, fp: 584, 19
GAN fn, tp: 8, 23
GAN f1 score: 0.630
GAN cohens kappa score: 0.608

-> test with 'LR'
LR tn, fp: 507, 96
LR fn, tp: 6, 25
LR f1 score: 0.329
LR cohens kappa score: 0.272
LR average precision score: 0.327

-> test with 'RF'
RF tn, fp: 599, 4
RF fn, tp: 7, 24
RF f1 score: 0.814
RF cohens kappa score: 0.804

-> test with 'GB'
GB tn, fp: 588, 15
GB fn, tp: 4, 27
GB f1 score: 0.740
GB cohens kappa score: 0.724

-> test with 'KNN'
KNN tn, fp: 578, 25
KNN fn, tp: 7, 24
KNN f1 score: 0.600
KNN cohens kappa score: 0.575


------ Step 1/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 42s - loss: 0.1303
 41/241 [====>.........................] - ETA: 0s - loss: 0.1518 
 80/241 [========>.....................] - ETA: 0s - loss: 0.1238
119/241 [=============>................] - ETA: 0s - loss: 0.1211
159/241 [==================>...........] - ETA: 0s - loss: 0.1167
199/241 [=======================>......] - ETA: 0s - loss: 0.1130
238/241 [============================>.] - ETA: 0s - loss: 0.1123
241/241 [==============================] - 0s 1ms/step - loss: 0.1120
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0117
 39/241 [===>..........................] - ETA: 0s - loss: 0.0667
 79/241 [========>.....................] - ETA: 0s - loss: 0.0707
116/241 [=============>................] - ETA: 0s - loss: 0.0798
152/241 [=================>............] - ETA: 0s - loss: 0.0803
191/241 [======================>.......] - ETA: 0s - loss: 0.0824
231/241 [===========================>..] - ETA: 0s - loss: 0.0853
241/241 [==============================] - 0s 1ms/step - loss: 0.0854
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0576
 41/241 [====>.........................] - ETA: 0s - loss: 0.0883
 81/241 [=========>....................] - ETA: 0s - loss: 0.0768
118/241 [=============>................] - ETA: 0s - loss: 0.0768
151/241 [=================>............] - ETA: 0s - loss: 0.0785
185/241 [======================>.......] - ETA: 0s - loss: 0.0787
222/241 [==========================>...] - ETA: 0s - loss: 0.0766
241/241 [==============================] - 0s 1ms/step - loss: 0.0759
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0223
 42/241 [====>.........................] - ETA: 0s - loss: 0.0657
 80/241 [========>.....................] - ETA: 0s - loss: 0.0717
119/241 [=============>................] - ETA: 0s - loss: 0.0767
159/241 [==================>...........] - ETA: 0s - loss: 0.0720
199/241 [=======================>......] - ETA: 0s - loss: 0.0749
240/241 [============================>.] - ETA: 0s - loss: 0.0709
241/241 [==============================] - 0s 1ms/step - loss: 0.0711
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.2370
 40/241 [===>..........................] - ETA: 0s - loss: 0.0828
 81/241 [=========>....................] - ETA: 0s - loss: 0.0755
119/241 [=============>................] - ETA: 0s - loss: 0.0715
158/241 [==================>...........] - ETA: 0s - loss: 0.0657
196/241 [=======================>......] - ETA: 0s - loss: 0.0687
227/241 [===========================>..] - ETA: 0s - loss: 0.0701
241/241 [==============================] - 0s 1ms/step - loss: 0.0679
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0115
 38/241 [===>..........................] - ETA: 0s - loss: 0.0519
 76/241 [========>.....................] - ETA: 0s - loss: 0.0582
117/241 [=============>................] - ETA: 0s - loss: 0.0653
156/241 [==================>...........] - ETA: 0s - loss: 0.0667
195/241 [=======================>......] - ETA: 0s - loss: 0.0663
236/241 [============================>.] - ETA: 0s - loss: 0.0670
241/241 [==============================] - 0s 1ms/step - loss: 0.0669
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0222
 42/241 [====>.........................] - ETA: 0s - loss: 0.0561
 79/241 [========>.....................] - ETA: 0s - loss: 0.0571
118/241 [=============>................] - ETA: 0s - loss: 0.0609
156/241 [==================>...........] - ETA: 0s - loss: 0.0636
194/241 [=======================>......] - ETA: 0s - loss: 0.0632
233/241 [============================>.] - ETA: 0s - loss: 0.0634
241/241 [==============================] - 0s 1ms/step - loss: 0.0638
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0287
 42/241 [====>.........................] - ETA: 0s - loss: 0.0613
 80/241 [========>.....................] - ETA: 0s - loss: 0.0657
120/241 [=============>................] - ETA: 0s - loss: 0.0737
158/241 [==================>...........] - ETA: 0s - loss: 0.0686
197/241 [=======================>......] - ETA: 0s - loss: 0.0683
236/241 [============================>.] - ETA: 0s - loss: 0.0690
241/241 [==============================] - 0s 1ms/step - loss: 0.0685
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0030
 38/241 [===>..........................] - ETA: 0s - loss: 0.0626
 77/241 [========>.....................] - ETA: 0s - loss: 0.0669
117/241 [=============>................] - ETA: 0s - loss: 0.0703
156/241 [==================>...........] - ETA: 0s - loss: 0.0671
196/241 [=======================>......] - ETA: 0s - loss: 0.0629
236/241 [============================>.] - ETA: 0s - loss: 0.0631
241/241 [==============================] - 0s 1ms/step - loss: 0.0635
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0907
 38/241 [===>..........................] - ETA: 0s - loss: 0.0460
 73/241 [========>.....................] - ETA: 0s - loss: 0.0643
106/241 [============>.................] - ETA: 0s - loss: 0.0638
138/241 [================>.............] - ETA: 0s - loss: 0.0649
176/241 [====================>.........] - ETA: 0s - loss: 0.0654
216/241 [=========================>....] - ETA: 0s - loss: 0.0652
241/241 [==============================] - 0s 1ms/step - loss: 0.0632
-> test with GAN.predict
GAN tn, fp: 583, 20
GAN fn, tp: 9, 22
GAN f1 score: 0.603
GAN cohens kappa score: 0.579

-> test with 'LR'
LR tn, fp: 504, 99
LR fn, tp: 3, 28
LR f1 score: 0.354
LR cohens kappa score: 0.299
LR average precision score: 0.388

-> test with 'RF'
RF tn, fp: 600, 3
RF fn, tp: 13, 18
RF f1 score: 0.692
RF cohens kappa score: 0.680

-> test with 'GB'
GB tn, fp: 596, 7
GB fn, tp: 7, 24
GB f1 score: 0.774
GB cohens kappa score: 0.763

-> test with 'KNN'
KNN tn, fp: 575, 28
KNN fn, tp: 10, 21
KNN f1 score: 0.525
KNN cohens kappa score: 0.495


------ Step 1/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2288 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/242 [..............................] - ETA: 38s - loss: 0.2191
 35/242 [===>..........................] - ETA: 0s - loss: 0.1705 
 73/242 [========>.....................] - ETA: 0s - loss: 0.1255
114/242 [=============>................] - ETA: 0s - loss: 0.1066
155/242 [==================>...........] - ETA: 0s - loss: 0.0978
196/242 [=======================>......] - ETA: 0s - loss: 0.0911
239/242 [============================>.] - ETA: 0s - loss: 0.0894
242/242 [==============================] - 0s 1ms/step - loss: 0.0893
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0833
 42/242 [====>.........................] - ETA: 0s - loss: 0.0634
 84/242 [=========>....................] - ETA: 0s - loss: 0.0556
116/242 [=============>................] - ETA: 0s - loss: 0.0571
133/242 [===============>..............] - ETA: 0s - loss: 0.0565
168/242 [===================>..........] - ETA: 0s - loss: 0.0575
207/242 [========================>.....] - ETA: 0s - loss: 0.0614
242/242 [==============================] - 0s 1ms/step - loss: 0.0615
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.0507
 36/242 [===>..........................] - ETA: 0s - loss: 0.0827
 49/242 [=====>........................] - ETA: 0s - loss: 0.0822
 86/242 [=========>....................] - ETA: 0s - loss: 0.0875
126/242 [==============>...............] - ETA: 0s - loss: 0.0830
164/242 [===================>..........] - ETA: 0s - loss: 0.0808
201/242 [=======================>......] - ETA: 0s - loss: 0.0751
221/242 [==========================>...] - ETA: 0s - loss: 0.0732
242/242 [==============================] - 0s 2ms/step - loss: 0.0711
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.0629
 42/242 [====>.........................] - ETA: 0s - loss: 0.0521
 80/242 [========>.....................] - ETA: 0s - loss: 0.0559
115/242 [=============>................] - ETA: 0s - loss: 0.0586
128/242 [==============>...............] - ETA: 0s - loss: 0.0565
157/242 [==================>...........] - ETA: 0s - loss: 0.0530
191/242 [======================>.......] - ETA: 0s - loss: 0.0548
224/242 [==========================>...] - ETA: 0s - loss: 0.0582
242/242 [==============================] - 0s 2ms/step - loss: 0.0579
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.0353
 25/242 [==>...........................] - ETA: 0s - loss: 0.0472
 49/242 [=====>........................] - ETA: 0s - loss: 0.0439
 86/242 [=========>....................] - ETA: 0s - loss: 0.0464
126/242 [==============>...............] - ETA: 0s - loss: 0.0500
163/242 [===================>..........] - ETA: 0s - loss: 0.0549
191/242 [======================>.......] - ETA: 0s - loss: 0.0534
209/242 [========================>.....] - ETA: 0s - loss: 0.0528
242/242 [==============================] - 0s 2ms/step - loss: 0.0520
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0054
 40/242 [===>..........................] - ETA: 0s - loss: 0.0554
 77/242 [========>.....................] - ETA: 0s - loss: 0.0480
112/242 [============>.................] - ETA: 0s - loss: 0.0518
118/242 [=============>................] - ETA: 0s - loss: 0.0567
154/242 [==================>...........] - ETA: 0s - loss: 0.0536
194/242 [=======================>......] - ETA: 0s - loss: 0.0518
233/242 [===========================>..] - ETA: 0s - loss: 0.0522
242/242 [==============================] - 0s 2ms/step - loss: 0.0521
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 9.2820e-04
 26/242 [==>...........................] - ETA: 0s - loss: 0.0635    
 45/242 [====>.........................] - ETA: 0s - loss: 0.0603
 86/242 [=========>....................] - ETA: 0s - loss: 0.0576
123/242 [==============>...............] - ETA: 0s - loss: 0.0537
159/242 [==================>...........] - ETA: 0s - loss: 0.0526
184/242 [=====================>........] - ETA: 0s - loss: 0.0495
204/242 [========================>.....] - ETA: 0s - loss: 0.0496
242/242 [==============================] - 0s 2ms/step - loss: 0.0498
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0278
 41/242 [====>.........................] - ETA: 0s - loss: 0.0411
 78/242 [========>.....................] - ETA: 0s - loss: 0.0391
108/242 [============>.................] - ETA: 0s - loss: 0.0392
130/242 [===============>..............] - ETA: 0s - loss: 0.0373
168/242 [===================>..........] - ETA: 0s - loss: 0.0419
207/242 [========================>.....] - ETA: 0s - loss: 0.0501
241/242 [============================>.] - ETA: 0s - loss: 0.0513
242/242 [==============================] - 0s 2ms/step - loss: 0.0512
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0814
 26/242 [==>...........................] - ETA: 0s - loss: 0.0480
 53/242 [=====>........................] - ETA: 0s - loss: 0.0397
 92/242 [==========>...................] - ETA: 0s - loss: 0.0382
131/242 [===============>..............] - ETA: 0s - loss: 0.0418
167/242 [===================>..........] - ETA: 0s - loss: 0.0436
190/242 [======================>.......] - ETA: 0s - loss: 0.0451
212/242 [=========================>....] - ETA: 0s - loss: 0.0461
242/242 [==============================] - 0s 2ms/step - loss: 0.0531
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0903
 41/242 [====>.........................] - ETA: 0s - loss: 0.0832
 74/242 [========>.....................] - ETA: 0s - loss: 0.0698
 95/242 [==========>...................] - ETA: 0s - loss: 0.0711
112/242 [============>.................] - ETA: 0s - loss: 0.0650
148/242 [=================>............] - ETA: 0s - loss: 0.0587
188/242 [======================>.......] - ETA: 0s - loss: 0.0608
226/242 [===========================>..] - ETA: 0s - loss: 0.0580
242/242 [==============================] - 0s 2ms/step - loss: 0.0568
-> test with GAN.predict
GAN tn, fp: 594, 6
GAN fn, tp: 8, 19
GAN f1 score: 0.731
GAN cohens kappa score: 0.719

-> test with 'LR'
LR tn, fp: 514, 86
LR fn, tp: 2, 25
LR f1 score: 0.362
LR cohens kappa score: 0.315
LR average precision score: 0.549

-> test with 'RF'
RF tn, fp: 596, 4
RF fn, tp: 6, 21
RF f1 score: 0.808
RF cohens kappa score: 0.799

-> test with 'GB'
GB tn, fp: 592, 8
GB fn, tp: 4, 23
GB f1 score: 0.793
GB cohens kappa score: 0.783

-> test with 'KNN'
KNN tn, fp: 568, 32
KNN fn, tp: 3, 24
KNN f1 score: 0.578
KNN cohens kappa score: 0.552


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

------ Step 2/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 39s - loss: 0.1406
 40/241 [===>..........................] - ETA: 0s - loss: 0.1168 
 81/241 [=========>....................] - ETA: 0s - loss: 0.1124
121/241 [==============>...............] - ETA: 0s - loss: 0.1050
158/241 [==================>...........] - ETA: 0s - loss: 0.1003
196/241 [=======================>......] - ETA: 0s - loss: 0.1000
235/241 [============================>.] - ETA: 0s - loss: 0.0967
241/241 [==============================] - 0s 1ms/step - loss: 0.0960
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0161
 39/241 [===>..........................] - ETA: 0s - loss: 0.0897
 78/241 [========>.....................] - ETA: 0s - loss: 0.0817
118/241 [=============>................] - ETA: 0s - loss: 0.0854
158/241 [==================>...........] - ETA: 0s - loss: 0.0851
198/241 [=======================>......] - ETA: 0s - loss: 0.0823
238/241 [============================>.] - ETA: 0s - loss: 0.0813
241/241 [==============================] - 0s 1ms/step - loss: 0.0808
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.1400
 40/241 [===>..........................] - ETA: 0s - loss: 0.0955
 80/241 [========>.....................] - ETA: 0s - loss: 0.0894
119/241 [=============>................] - ETA: 0s - loss: 0.0841
158/241 [==================>...........] - ETA: 0s - loss: 0.0790
193/241 [=======================>......] - ETA: 0s - loss: 0.0747
230/241 [===========================>..] - ETA: 0s - loss: 0.0713
241/241 [==============================] - 0s 1ms/step - loss: 0.0720
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.1663
 39/241 [===>..........................] - ETA: 0s - loss: 0.0645
 77/241 [========>.....................] - ETA: 0s - loss: 0.0633
108/241 [============>.................] - ETA: 0s - loss: 0.0655
141/241 [================>.............] - ETA: 0s - loss: 0.0677
173/241 [====================>.........] - ETA: 0s - loss: 0.0666
214/241 [=========================>....] - ETA: 0s - loss: 0.0674
241/241 [==============================] - 0s 1ms/step - loss: 0.0673
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0851
 41/241 [====>.........................] - ETA: 0s - loss: 0.0482
 81/241 [=========>....................] - ETA: 0s - loss: 0.0477
121/241 [==============>...............] - ETA: 0s - loss: 0.0571
159/241 [==================>...........] - ETA: 0s - loss: 0.0581
199/241 [=======================>......] - ETA: 0s - loss: 0.0623
239/241 [============================>.] - ETA: 0s - loss: 0.0650
241/241 [==============================] - 0s 1ms/step - loss: 0.0648
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0315
 40/241 [===>..........................] - ETA: 0s - loss: 0.0489
 80/241 [========>.....................] - ETA: 0s - loss: 0.0557
117/241 [=============>................] - ETA: 0s - loss: 0.0606
156/241 [==================>...........] - ETA: 0s - loss: 0.0626
196/241 [=======================>......] - ETA: 0s - loss: 0.0621
232/241 [===========================>..] - ETA: 0s - loss: 0.0606
241/241 [==============================] - 0s 1ms/step - loss: 0.0613
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0425
 36/241 [===>..........................] - ETA: 0s - loss: 0.0494
 72/241 [=======>......................] - ETA: 0s - loss: 0.0480
111/241 [============>.................] - ETA: 0s - loss: 0.0537
149/241 [=================>............] - ETA: 0s - loss: 0.0547
186/241 [======================>.......] - ETA: 0s - loss: 0.0560
225/241 [===========================>..] - ETA: 0s - loss: 0.0543
241/241 [==============================] - 0s 1ms/step - loss: 0.0568
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0205
 40/241 [===>..........................] - ETA: 0s - loss: 0.0562
 79/241 [========>.....................] - ETA: 0s - loss: 0.0527
117/241 [=============>................] - ETA: 0s - loss: 0.0540
155/241 [==================>...........] - ETA: 0s - loss: 0.0528
193/241 [=======================>......] - ETA: 0s - loss: 0.0560
232/241 [===========================>..] - ETA: 0s - loss: 0.0572
241/241 [==============================] - 0s 1ms/step - loss: 0.0577
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0734
 42/241 [====>.........................] - ETA: 0s - loss: 0.0461
 81/241 [=========>....................] - ETA: 0s - loss: 0.0501
120/241 [=============>................] - ETA: 0s - loss: 0.0493
160/241 [==================>...........] - ETA: 0s - loss: 0.0515
201/241 [========================>.....] - ETA: 0s - loss: 0.0512
241/241 [==============================] - ETA: 0s - loss: 0.0515
241/241 [==============================] - 0s 1ms/step - loss: 0.0515
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0291
 36/241 [===>..........................] - ETA: 0s - loss: 0.0505
 75/241 [========>.....................] - ETA: 0s - loss: 0.0589
114/241 [=============>................] - ETA: 0s - loss: 0.0578
151/241 [=================>............] - ETA: 0s - loss: 0.0572
191/241 [======================>.......] - ETA: 0s - loss: 0.0578
232/241 [===========================>..] - ETA: 0s - loss: 0.0542
241/241 [==============================] - 0s 1ms/step - loss: 0.0529
-> test with GAN.predict
GAN tn, fp: 557, 46
GAN fn, tp: 1, 30
GAN f1 score: 0.561
GAN cohens kappa score: 0.528

-> test with 'LR'
LR tn, fp: 521, 82
LR fn, tp: 5, 26
LR f1 score: 0.374
LR cohens kappa score: 0.323
LR average precision score: 0.474

-> test with 'RF'
RF tn, fp: 596, 7
RF fn, tp: 8, 23
RF f1 score: 0.754
RF cohens kappa score: 0.742

-> test with 'GB'
GB tn, fp: 589, 14
GB fn, tp: 4, 27
GB f1 score: 0.750
GB cohens kappa score: 0.735

-> test with 'KNN'
KNN tn, fp: 580, 23
KNN fn, tp: 7, 24
KNN f1 score: 0.615
KNN cohens kappa score: 0.591


------ Step 2/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 43s - loss: 0.1092
 38/241 [===>..........................] - ETA: 0s - loss: 0.1897 
 73/241 [========>.....................] - ETA: 0s - loss: 0.1852
109/241 [============>.................] - ETA: 0s - loss: 0.1512
142/241 [================>.............] - ETA: 0s - loss: 0.1387
176/241 [====================>.........] - ETA: 0s - loss: 0.1273
209/241 [=========================>....] - ETA: 0s - loss: 0.1188
241/241 [==============================] - 1s 1ms/step - loss: 0.1147
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0204
 34/241 [===>..........................] - ETA: 0s - loss: 0.0704
 70/241 [=======>......................] - ETA: 0s - loss: 0.0835
106/241 [============>.................] - ETA: 0s - loss: 0.0809
142/241 [================>.............] - ETA: 0s - loss: 0.0783
177/241 [=====================>........] - ETA: 0s - loss: 0.0789
212/241 [=========================>....] - ETA: 0s - loss: 0.0764
241/241 [==============================] - 0s 1ms/step - loss: 0.0773
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0259
 37/241 [===>..........................] - ETA: 0s - loss: 0.0733
 74/241 [========>.....................] - ETA: 0s - loss: 0.0691
111/241 [============>.................] - ETA: 0s - loss: 0.0722
146/241 [=================>............] - ETA: 0s - loss: 0.0719
182/241 [=====================>........] - ETA: 0s - loss: 0.0741
218/241 [==========================>...] - ETA: 0s - loss: 0.0746
241/241 [==============================] - 0s 1ms/step - loss: 0.0744
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0494
 36/241 [===>..........................] - ETA: 0s - loss: 0.0595
 70/241 [=======>......................] - ETA: 0s - loss: 0.0787
107/241 [============>.................] - ETA: 0s - loss: 0.0712
144/241 [================>.............] - ETA: 0s - loss: 0.0730
179/241 [=====================>........] - ETA: 0s - loss: 0.0716
214/241 [=========================>....] - ETA: 0s - loss: 0.0745
241/241 [==============================] - 0s 1ms/step - loss: 0.0730
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0440
 36/241 [===>..........................] - ETA: 0s - loss: 0.0923
 72/241 [=======>......................] - ETA: 0s - loss: 0.0845
108/241 [============>.................] - ETA: 0s - loss: 0.0723
144/241 [================>.............] - ETA: 0s - loss: 0.0704
177/241 [=====================>........] - ETA: 0s - loss: 0.0651
214/241 [=========================>....] - ETA: 0s - loss: 0.0640
241/241 [==============================] - 0s 1ms/step - loss: 0.0699
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0035
 37/241 [===>..........................] - ETA: 0s - loss: 0.0674
 70/241 [=======>......................] - ETA: 0s - loss: 0.0697
103/241 [===========>..................] - ETA: 0s - loss: 0.0702
137/241 [================>.............] - ETA: 0s - loss: 0.0621
172/241 [====================>.........] - ETA: 0s - loss: 0.0631
201/241 [========================>.....] - ETA: 0s - loss: 0.0671
232/241 [===========================>..] - ETA: 0s - loss: 0.0663
241/241 [==============================] - 0s 2ms/step - loss: 0.0676
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0629
 33/241 [===>..........................] - ETA: 0s - loss: 0.0804
 67/241 [=======>......................] - ETA: 0s - loss: 0.0615
101/241 [===========>..................] - ETA: 0s - loss: 0.0616
135/241 [===============>..............] - ETA: 0s - loss: 0.0641
167/241 [===================>..........] - ETA: 0s - loss: 0.0630
198/241 [=======================>......] - ETA: 0s - loss: 0.0629
234/241 [============================>.] - ETA: 0s - loss: 0.0636
241/241 [==============================] - 0s 2ms/step - loss: 0.0654
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0650
 40/241 [===>..........................] - ETA: 0s - loss: 0.0804
 79/241 [========>.....................] - ETA: 0s - loss: 0.0988
118/241 [=============>................] - ETA: 0s - loss: 0.0865
157/241 [==================>...........] - ETA: 0s - loss: 0.0809
193/241 [=======================>......] - ETA: 0s - loss: 0.0805
230/241 [===========================>..] - ETA: 0s - loss: 0.0789
241/241 [==============================] - 0s 1ms/step - loss: 0.0794
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.2687
 39/241 [===>..........................] - ETA: 0s - loss: 0.0497
 77/241 [========>.....................] - ETA: 0s - loss: 0.0572
116/241 [=============>................] - ETA: 0s - loss: 0.0677
157/241 [==================>...........] - ETA: 0s - loss: 0.0694
194/241 [=======================>......] - ETA: 0s - loss: 0.0701
233/241 [============================>.] - ETA: 0s - loss: 0.0663
241/241 [==============================] - 0s 1ms/step - loss: 0.0652
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0106
 41/241 [====>.........................] - ETA: 0s - loss: 0.0808
 79/241 [========>.....................] - ETA: 0s - loss: 0.0733
117/241 [=============>................] - ETA: 0s - loss: 0.0672
156/241 [==================>...........] - ETA: 0s - loss: 0.0651
197/241 [=======================>......] - ETA: 0s - loss: 0.0642
235/241 [============================>.] - ETA: 0s - loss: 0.0627
241/241 [==============================] - 0s 1ms/step - loss: 0.0631
-> test with GAN.predict
GAN tn, fp: 592, 11
GAN fn, tp: 11, 20
GAN f1 score: 0.645
GAN cohens kappa score: 0.627

-> test with 'LR'
LR tn, fp: 526, 77
LR fn, tp: 6, 25
LR f1 score: 0.376
LR cohens kappa score: 0.325
LR average precision score: 0.412

-> test with 'RF'
RF tn, fp: 597, 6
RF fn, tp: 10, 21
RF f1 score: 0.724
RF cohens kappa score: 0.711

-> test with 'GB'
GB tn, fp: 595, 8
GB fn, tp: 3, 28
GB f1 score: 0.836
GB cohens kappa score: 0.827

-> test with 'KNN'
KNN tn, fp: 578, 25
KNN fn, tp: 5, 26
KNN f1 score: 0.634
KNN cohens kappa score: 0.610


------ Step 2/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 50s - loss: 0.0216
 36/241 [===>..........................] - ETA: 0s - loss: 0.1472 
 71/241 [=======>......................] - ETA: 0s - loss: 0.1389
105/241 [============>.................] - ETA: 0s - loss: 0.1180
140/241 [================>.............] - ETA: 0s - loss: 0.1095
175/241 [====================>.........] - ETA: 0s - loss: 0.1070
211/241 [=========================>....] - ETA: 0s - loss: 0.1052
241/241 [==============================] - 1s 1ms/step - loss: 0.1048
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0232
 40/241 [===>..........................] - ETA: 0s - loss: 0.0789
 72/241 [=======>......................] - ETA: 0s - loss: 0.0929
101/241 [===========>..................] - ETA: 0s - loss: 0.0889
132/241 [===============>..............] - ETA: 0s - loss: 0.0920
169/241 [====================>.........] - ETA: 0s - loss: 0.0869
203/241 [========================>.....] - ETA: 0s - loss: 0.0857
237/241 [============================>.] - ETA: 0s - loss: 0.0835
241/241 [==============================] - 0s 2ms/step - loss: 0.0848
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0097
 30/241 [==>...........................] - ETA: 0s - loss: 0.0885
 60/241 [======>.......................] - ETA: 0s - loss: 0.0915
 89/241 [==========>...................] - ETA: 0s - loss: 0.0796
122/241 [==============>...............] - ETA: 0s - loss: 0.0827
155/241 [==================>...........] - ETA: 0s - loss: 0.0819
189/241 [======================>.......] - ETA: 0s - loss: 0.0805
205/241 [========================>.....] - ETA: 0s - loss: 0.0789
226/241 [===========================>..] - ETA: 0s - loss: 0.0802
241/241 [==============================] - 0s 2ms/step - loss: 0.0782
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0377
 24/241 [=>............................] - ETA: 0s - loss: 0.0829
 53/241 [=====>........................] - ETA: 0s - loss: 0.0745
 79/241 [========>.....................] - ETA: 0s - loss: 0.0670
110/241 [============>.................] - ETA: 0s - loss: 0.0699
139/241 [================>.............] - ETA: 0s - loss: 0.0747
166/241 [===================>..........] - ETA: 0s - loss: 0.0824
195/241 [=======================>......] - ETA: 0s - loss: 0.0797
217/241 [==========================>...] - ETA: 0s - loss: 0.0765
241/241 [==============================] - ETA: 0s - loss: 0.0770
241/241 [==============================] - 0s 2ms/step - loss: 0.0770
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0714
 24/241 [=>............................] - ETA: 0s - loss: 0.0600
 46/241 [====>.........................] - ETA: 0s - loss: 0.0607
 69/241 [=======>......................] - ETA: 0s - loss: 0.0640
 94/241 [==========>...................] - ETA: 0s - loss: 0.0673
115/241 [=============>................] - ETA: 0s - loss: 0.0685
135/241 [===============>..............] - ETA: 0s - loss: 0.0684
151/241 [=================>............] - ETA: 0s - loss: 0.0692
168/241 [===================>..........] - ETA: 0s - loss: 0.0697
188/241 [======================>.......] - ETA: 0s - loss: 0.0675
207/241 [========================>.....] - ETA: 0s - loss: 0.0681
228/241 [===========================>..] - ETA: 0s - loss: 0.0712
241/241 [==============================] - 1s 3ms/step - loss: 0.0704
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0960
 18/241 [=>............................] - ETA: 0s - loss: 0.0537
 35/241 [===>..........................] - ETA: 0s - loss: 0.0572
 52/241 [=====>........................] - ETA: 0s - loss: 0.0654
 71/241 [=======>......................] - ETA: 0s - loss: 0.0716
 95/241 [==========>...................] - ETA: 0s - loss: 0.0692
110/241 [============>.................] - ETA: 0s - loss: 0.0669
125/241 [==============>...............] - ETA: 0s - loss: 0.0729
137/241 [================>.............] - ETA: 0s - loss: 0.0733
162/241 [===================>..........] - ETA: 0s - loss: 0.0769
185/241 [======================>.......] - ETA: 0s - loss: 0.0749
203/241 [========================>.....] - ETA: 0s - loss: 0.0756
223/241 [==========================>...] - ETA: 0s - loss: 0.0721
241/241 [==============================] - 1s 3ms/step - loss: 0.0715
Epoch 7/10

  1/241 [..............................] - ETA: 2s - loss: 0.0121
 26/241 [==>...........................] - ETA: 0s - loss: 0.0403
 47/241 [====>.........................] - ETA: 0s - loss: 0.0575
 72/241 [=======>......................] - ETA: 0s - loss: 0.0643
 98/241 [===========>..................] - ETA: 0s - loss: 0.0571
123/241 [==============>...............] - ETA: 0s - loss: 0.0564
146/241 [=================>............] - ETA: 0s - loss: 0.0627
171/241 [====================>.........] - ETA: 0s - loss: 0.0673
198/241 [=======================>......] - ETA: 0s - loss: 0.0688
221/241 [==========================>...] - ETA: 0s - loss: 0.0746
241/241 [==============================] - 1s 2ms/step - loss: 0.0752
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1782
 32/241 [==>...........................] - ETA: 0s - loss: 0.0829
 59/241 [======>.......................] - ETA: 0s - loss: 0.0888
 86/241 [=========>....................] - ETA: 0s - loss: 0.0820
114/241 [=============>................] - ETA: 0s - loss: 0.0738
141/241 [================>.............] - ETA: 0s - loss: 0.0740
166/241 [===================>..........] - ETA: 0s - loss: 0.0724
191/241 [======================>.......] - ETA: 0s - loss: 0.0697
217/241 [==========================>...] - ETA: 0s - loss: 0.0696
241/241 [==============================] - 0s 2ms/step - loss: 0.0686
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0486
 29/241 [==>...........................] - ETA: 0s - loss: 0.0503
 59/241 [======>.......................] - ETA: 0s - loss: 0.0638
 90/241 [==========>...................] - ETA: 0s - loss: 0.0655
117/241 [=============>................] - ETA: 0s - loss: 0.0675
144/241 [================>.............] - ETA: 0s - loss: 0.0648
172/241 [====================>.........] - ETA: 0s - loss: 0.0655
199/241 [=======================>......] - ETA: 0s - loss: 0.0630
225/241 [===========================>..] - ETA: 0s - loss: 0.0611
241/241 [==============================] - 0s 2ms/step - loss: 0.0656
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0137
 31/241 [==>...........................] - ETA: 0s - loss: 0.0476
 55/241 [=====>........................] - ETA: 0s - loss: 0.0486
 79/241 [========>.....................] - ETA: 0s - loss: 0.0651
 99/241 [===========>..................] - ETA: 0s - loss: 0.0746
113/241 [=============>................] - ETA: 0s - loss: 0.0718
127/241 [==============>...............] - ETA: 0s - loss: 0.0694
143/241 [================>.............] - ETA: 0s - loss: 0.0698
160/241 [==================>...........] - ETA: 0s - loss: 0.0676
177/241 [=====================>........] - ETA: 0s - loss: 0.0648
194/241 [=======================>......] - ETA: 0s - loss: 0.0650
211/241 [=========================>....] - ETA: 0s - loss: 0.0669
224/241 [==========================>...] - ETA: 0s - loss: 0.0675
234/241 [============================>.] - ETA: 0s - loss: 0.0681
241/241 [==============================] - 1s 3ms/step - loss: 0.0688
-> test with GAN.predict
GAN tn, fp: 571, 32
GAN fn, tp: 7, 24
GAN f1 score: 0.552
GAN cohens kappa score: 0.522

-> test with 'LR'
LR tn, fp: 502, 101
LR fn, tp: 4, 27
LR f1 score: 0.340
LR cohens kappa score: 0.283
LR average precision score: 0.573

-> test with 'RF'
RF tn, fp: 599, 4
RF fn, tp: 9, 22
RF f1 score: 0.772
RF cohens kappa score: 0.761

-> test with 'GB'
GB tn, fp: 595, 8
GB fn, tp: 6, 25
GB f1 score: 0.781
GB cohens kappa score: 0.770

-> test with 'KNN'
KNN tn, fp: 572, 31
KNN fn, tp: 6, 25
KNN f1 score: 0.575
KNN cohens kappa score: 0.546


------ Step 2/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 58s - loss: 0.1249
 31/241 [==>...........................] - ETA: 0s - loss: 0.1679 
 63/241 [======>.......................] - ETA: 0s - loss: 0.1370
 96/241 [==========>...................] - ETA: 0s - loss: 0.1303
129/241 [===============>..............] - ETA: 0s - loss: 0.1171
163/241 [===================>..........] - ETA: 0s - loss: 0.1110
196/241 [=======================>......] - ETA: 0s - loss: 0.1088
229/241 [===========================>..] - ETA: 0s - loss: 0.1072
241/241 [==============================] - 1s 2ms/step - loss: 0.1064
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0515
 32/241 [==>...........................] - ETA: 0s - loss: 0.0590
 61/241 [======>.......................] - ETA: 0s - loss: 0.0768
 93/241 [==========>...................] - ETA: 0s - loss: 0.0758
127/241 [==============>...............] - ETA: 0s - loss: 0.0772
158/241 [==================>...........] - ETA: 0s - loss: 0.0772
191/241 [======================>.......] - ETA: 0s - loss: 0.0771
225/241 [===========================>..] - ETA: 0s - loss: 0.0756
241/241 [==============================] - 0s 2ms/step - loss: 0.0769
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0933
 35/241 [===>..........................] - ETA: 0s - loss: 0.0923
 69/241 [=======>......................] - ETA: 0s - loss: 0.0770
 98/241 [===========>..................] - ETA: 0s - loss: 0.0744
132/241 [===============>..............] - ETA: 0s - loss: 0.0722
164/241 [===================>..........] - ETA: 0s - loss: 0.0710
195/241 [=======================>......] - ETA: 0s - loss: 0.0687
232/241 [===========================>..] - ETA: 0s - loss: 0.0694
241/241 [==============================] - 0s 2ms/step - loss: 0.0692
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0590
 33/241 [===>..........................] - ETA: 0s - loss: 0.0496
 70/241 [=======>......................] - ETA: 0s - loss: 0.0684
106/241 [============>.................] - ETA: 0s - loss: 0.0717
143/241 [================>.............] - ETA: 0s - loss: 0.0722
178/241 [=====================>........] - ETA: 0s - loss: 0.0736
215/241 [=========================>....] - ETA: 0s - loss: 0.0709
241/241 [==============================] - 0s 1ms/step - loss: 0.0687
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0671
 38/241 [===>..........................] - ETA: 0s - loss: 0.0696
 77/241 [========>.....................] - ETA: 0s - loss: 0.0625
113/241 [=============>................] - ETA: 0s - loss: 0.0638
152/241 [=================>............] - ETA: 0s - loss: 0.0625
189/241 [======================>.......] - ETA: 0s - loss: 0.0659
226/241 [===========================>..] - ETA: 0s - loss: 0.0642
241/241 [==============================] - 0s 1ms/step - loss: 0.0637
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0425
 39/241 [===>..........................] - ETA: 0s - loss: 0.0493
 77/241 [========>.....................] - ETA: 0s - loss: 0.0516
114/241 [=============>................] - ETA: 0s - loss: 0.0499
149/241 [=================>............] - ETA: 0s - loss: 0.0481
189/241 [======================>.......] - ETA: 0s - loss: 0.0606
229/241 [===========================>..] - ETA: 0s - loss: 0.0614
241/241 [==============================] - 0s 1ms/step - loss: 0.0630
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.1178
 38/241 [===>..........................] - ETA: 0s - loss: 0.0680
 74/241 [========>.....................] - ETA: 0s - loss: 0.0646
109/241 [============>.................] - ETA: 0s - loss: 0.0662
144/241 [================>.............] - ETA: 0s - loss: 0.0627
176/241 [====================>.........] - ETA: 0s - loss: 0.0602
211/241 [=========================>....] - ETA: 0s - loss: 0.0584
241/241 [==============================] - 0s 1ms/step - loss: 0.0585
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0038
 33/241 [===>..........................] - ETA: 0s - loss: 0.0691
 63/241 [======>.......................] - ETA: 0s - loss: 0.0616
 87/241 [=========>....................] - ETA: 0s - loss: 0.0537
117/241 [=============>................] - ETA: 0s - loss: 0.0549
152/241 [=================>............] - ETA: 0s - loss: 0.0571
184/241 [=====================>........] - ETA: 0s - loss: 0.0585
218/241 [==========================>...] - ETA: 0s - loss: 0.0563
241/241 [==============================] - 0s 2ms/step - loss: 0.0595
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0125
 36/241 [===>..........................] - ETA: 0s - loss: 0.0510
 64/241 [======>.......................] - ETA: 0s - loss: 0.0542
 99/241 [===========>..................] - ETA: 0s - loss: 0.0529
135/241 [===============>..............] - ETA: 0s - loss: 0.0525
166/241 [===================>..........] - ETA: 0s - loss: 0.0530
202/241 [========================>.....] - ETA: 0s - loss: 0.0556
233/241 [============================>.] - ETA: 0s - loss: 0.0567
241/241 [==============================] - 0s 2ms/step - loss: 0.0571
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1294
 36/241 [===>..........................] - ETA: 0s - loss: 0.0478
 68/241 [=======>......................] - ETA: 0s - loss: 0.0636
105/241 [============>.................] - ETA: 0s - loss: 0.0608
136/241 [===============>..............] - ETA: 0s - loss: 0.0595
167/241 [===================>..........] - ETA: 0s - loss: 0.0627
197/241 [=======================>......] - ETA: 0s - loss: 0.0601
234/241 [============================>.] - ETA: 0s - loss: 0.0580
241/241 [==============================] - 0s 2ms/step - loss: 0.0575
-> test with GAN.predict
GAN tn, fp: 583, 20
GAN fn, tp: 8, 23
GAN f1 score: 0.622
GAN cohens kappa score: 0.599

-> test with 'LR'
LR tn, fp: 510, 93
LR fn, tp: 6, 25
LR f1 score: 0.336
LR cohens kappa score: 0.280
LR average precision score: 0.281

-> test with 'RF'
RF tn, fp: 597, 6
RF fn, tp: 7, 24
RF f1 score: 0.787
RF cohens kappa score: 0.776

-> test with 'GB'
GB tn, fp: 590, 13
GB fn, tp: 5, 26
GB f1 score: 0.743
GB cohens kappa score: 0.728

-> test with 'KNN'
KNN tn, fp: 571, 32
KNN fn, tp: 7, 24
KNN f1 score: 0.552
KNN cohens kappa score: 0.522


------ Step 2/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2288 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/242 [..............................] - ETA: 49s - loss: 0.1688
 27/242 [==>...........................] - ETA: 0s - loss: 0.0938 
 52/242 [=====>........................] - ETA: 0s - loss: 0.1013
 78/242 [========>.....................] - ETA: 0s - loss: 0.0931
106/242 [============>.................] - ETA: 0s - loss: 0.0898
136/242 [===============>..............] - ETA: 0s - loss: 0.0959
166/242 [===================>..........] - ETA: 0s - loss: 0.0968
193/242 [======================>.......] - ETA: 0s - loss: 0.0994
220/242 [==========================>...] - ETA: 0s - loss: 0.0985
242/242 [==============================] - 1s 2ms/step - loss: 0.0996
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.1213
 34/242 [===>..........................] - ETA: 0s - loss: 0.0973
 57/242 [======>.......................] - ETA: 0s - loss: 0.0886
 85/242 [=========>....................] - ETA: 0s - loss: 0.0839
119/242 [=============>................] - ETA: 0s - loss: 0.0842
150/242 [=================>............] - ETA: 0s - loss: 0.0849
183/242 [=====================>........] - ETA: 0s - loss: 0.0828
224/242 [==========================>...] - ETA: 0s - loss: 0.0849
242/242 [==============================] - 0s 2ms/step - loss: 0.0836
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.0242
 37/242 [===>..........................] - ETA: 0s - loss: 0.0885
 77/242 [========>.....................] - ETA: 0s - loss: 0.0823
116/242 [=============>................] - ETA: 0s - loss: 0.0778
155/242 [==================>...........] - ETA: 0s - loss: 0.0785
191/242 [======================>.......] - ETA: 0s - loss: 0.0787
228/242 [===========================>..] - ETA: 0s - loss: 0.0744
242/242 [==============================] - 0s 1ms/step - loss: 0.0769
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.0684
 40/242 [===>..........................] - ETA: 0s - loss: 0.0808
 78/242 [========>.....................] - ETA: 0s - loss: 0.0704
108/242 [============>.................] - ETA: 0s - loss: 0.0740
136/242 [===============>..............] - ETA: 0s - loss: 0.0730
173/242 [====================>.........] - ETA: 0s - loss: 0.0702
209/242 [========================>.....] - ETA: 0s - loss: 0.0726
241/242 [============================>.] - ETA: 0s - loss: 0.0744
242/242 [==============================] - 0s 1ms/step - loss: 0.0743
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.0880
 26/242 [==>...........................] - ETA: 0s - loss: 0.0875
 55/242 [=====>........................] - ETA: 0s - loss: 0.0744
 90/242 [==========>...................] - ETA: 0s - loss: 0.0772
127/242 [==============>...............] - ETA: 0s - loss: 0.0748
161/242 [==================>...........] - ETA: 0s - loss: 0.0723
196/242 [=======================>......] - ETA: 0s - loss: 0.0689
232/242 [===========================>..] - ETA: 0s - loss: 0.0674
242/242 [==============================] - 0s 2ms/step - loss: 0.0685
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0336
 35/242 [===>..........................] - ETA: 0s - loss: 0.0599
 67/242 [=======>......................] - ETA: 0s - loss: 0.0640
100/242 [===========>..................] - ETA: 0s - loss: 0.0720
130/242 [===============>..............] - ETA: 0s - loss: 0.0685
168/242 [===================>..........] - ETA: 0s - loss: 0.0738
203/242 [========================>.....] - ETA: 0s - loss: 0.0734
236/242 [============================>.] - ETA: 0s - loss: 0.0725
242/242 [==============================] - 0s 2ms/step - loss: 0.0734
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.1032
 35/242 [===>..........................] - ETA: 0s - loss: 0.0707
 73/242 [========>.....................] - ETA: 0s - loss: 0.0748
111/242 [============>.................] - ETA: 0s - loss: 0.0700
149/242 [=================>............] - ETA: 0s - loss: 0.0641
187/242 [======================>.......] - ETA: 0s - loss: 0.0682
225/242 [==========================>...] - ETA: 0s - loss: 0.0688
242/242 [==============================] - 0s 1ms/step - loss: 0.0687
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0831
 37/242 [===>..........................] - ETA: 0s - loss: 0.0663
 74/242 [========>.....................] - ETA: 0s - loss: 0.0666
111/242 [============>.................] - ETA: 0s - loss: 0.0684
150/242 [=================>............] - ETA: 0s - loss: 0.0662
188/242 [======================>.......] - ETA: 0s - loss: 0.0660
226/242 [===========================>..] - ETA: 0s - loss: 0.0697
242/242 [==============================] - 0s 1ms/step - loss: 0.0703
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0805
 37/242 [===>..........................] - ETA: 0s - loss: 0.0665
 76/242 [========>.....................] - ETA: 0s - loss: 0.0762
115/242 [=============>................] - ETA: 0s - loss: 0.0704
151/242 [=================>............] - ETA: 0s - loss: 0.0670
190/242 [======================>.......] - ETA: 0s - loss: 0.0667
230/242 [===========================>..] - ETA: 0s - loss: 0.0654
242/242 [==============================] - 0s 1ms/step - loss: 0.0639
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.2821
 39/242 [===>..........................] - ETA: 0s - loss: 0.0697
 77/242 [========>.....................] - ETA: 0s - loss: 0.0683
117/242 [=============>................] - ETA: 0s - loss: 0.0612
154/242 [==================>...........] - ETA: 0s - loss: 0.0632
193/242 [======================>.......] - ETA: 0s - loss: 0.0634
228/242 [===========================>..] - ETA: 0s - loss: 0.0636
242/242 [==============================] - 0s 1ms/step - loss: 0.0631
-> test with GAN.predict
GAN tn, fp: 587, 13
GAN fn, tp: 3, 24
GAN f1 score: 0.750
GAN cohens kappa score: 0.737

-> test with 'LR'
LR tn, fp: 497, 103
LR fn, tp: 1, 26
LR f1 score: 0.333
LR cohens kappa score: 0.282
LR average precision score: 0.428

-> test with 'RF'
RF tn, fp: 596, 4
RF fn, tp: 4, 23
RF f1 score: 0.852
RF cohens kappa score: 0.845

-> test with 'GB'
GB tn, fp: 590, 10
GB fn, tp: 2, 25
GB f1 score: 0.806
GB cohens kappa score: 0.797

-> test with 'KNN'
KNN tn, fp: 565, 35
KNN fn, tp: 4, 23
KNN f1 score: 0.541
KNN cohens kappa score: 0.513


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

------ Step 3/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 50s - loss: 0.0379
 41/241 [====>.........................] - ETA: 0s - loss: 0.1014 
 82/241 [=========>....................] - ETA: 0s - loss: 0.0983
122/241 [==============>...............] - ETA: 0s - loss: 0.1076
163/241 [===================>..........] - ETA: 0s - loss: 0.1038
203/241 [========================>.....] - ETA: 0s - loss: 0.1010
241/241 [==============================] - 1s 1ms/step - loss: 0.1066
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0323
 39/241 [===>..........................] - ETA: 0s - loss: 0.0851
 77/241 [========>.....................] - ETA: 0s - loss: 0.0872
118/241 [=============>................] - ETA: 0s - loss: 0.0992
157/241 [==================>...........] - ETA: 0s - loss: 0.1036
195/241 [=======================>......] - ETA: 0s - loss: 0.1007
234/241 [============================>.] - ETA: 0s - loss: 0.0946
241/241 [==============================] - 0s 1ms/step - loss: 0.0933
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.1055
 41/241 [====>.........................] - ETA: 0s - loss: 0.0787
 80/241 [========>.....................] - ETA: 0s - loss: 0.0927
121/241 [==============>...............] - ETA: 0s - loss: 0.0954
161/241 [===================>..........] - ETA: 0s - loss: 0.0927
200/241 [=======================>......] - ETA: 0s - loss: 0.0885
239/241 [============================>.] - ETA: 0s - loss: 0.0873
241/241 [==============================] - 0s 1ms/step - loss: 0.0873
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0721
 42/241 [====>.........................] - ETA: 0s - loss: 0.0921
 80/241 [========>.....................] - ETA: 0s - loss: 0.0919
119/241 [=============>................] - ETA: 0s - loss: 0.0898
154/241 [==================>...........] - ETA: 0s - loss: 0.0854
194/241 [=======================>......] - ETA: 0s - loss: 0.0837
234/241 [============================>.] - ETA: 0s - loss: 0.0851
241/241 [==============================] - 0s 1ms/step - loss: 0.0849
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0354
 35/241 [===>..........................] - ETA: 0s - loss: 0.0665
 69/241 [=======>......................] - ETA: 0s - loss: 0.0824
103/241 [===========>..................] - ETA: 0s - loss: 0.0822
144/241 [================>.............] - ETA: 0s - loss: 0.0781
183/241 [=====================>........] - ETA: 0s - loss: 0.0832
222/241 [==========================>...] - ETA: 0s - loss: 0.0843
241/241 [==============================] - 0s 1ms/step - loss: 0.0830
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0128
 39/241 [===>..........................] - ETA: 0s - loss: 0.0949
 79/241 [========>.....................] - ETA: 0s - loss: 0.1009
119/241 [=============>................] - ETA: 0s - loss: 0.0941
158/241 [==================>...........] - ETA: 0s - loss: 0.0862
197/241 [=======================>......] - ETA: 0s - loss: 0.0824
237/241 [============================>.] - ETA: 0s - loss: 0.0846
241/241 [==============================] - 0s 1ms/step - loss: 0.0853
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0095
 41/241 [====>.........................] - ETA: 0s - loss: 0.0644
 79/241 [========>.....................] - ETA: 0s - loss: 0.0732
120/241 [=============>................] - ETA: 0s - loss: 0.0740
160/241 [==================>...........] - ETA: 0s - loss: 0.0762
200/241 [=======================>......] - ETA: 0s - loss: 0.0757
238/241 [============================>.] - ETA: 0s - loss: 0.0773
241/241 [==============================] - 0s 1ms/step - loss: 0.0770
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1215
 41/241 [====>.........................] - ETA: 0s - loss: 0.0775
 81/241 [=========>....................] - ETA: 0s - loss: 0.0746
123/241 [==============>...............] - ETA: 0s - loss: 0.0764
158/241 [==================>...........] - ETA: 0s - loss: 0.0756
195/241 [=======================>......] - ETA: 0s - loss: 0.0751
232/241 [===========================>..] - ETA: 0s - loss: 0.0753
241/241 [==============================] - 0s 1ms/step - loss: 0.0746
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0513
 41/241 [====>.........................] - ETA: 0s - loss: 0.0760
 80/241 [========>.....................] - ETA: 0s - loss: 0.0846
119/241 [=============>................] - ETA: 0s - loss: 0.0805
160/241 [==================>...........] - ETA: 0s - loss: 0.0774
198/241 [=======================>......] - ETA: 0s - loss: 0.0737
239/241 [============================>.] - ETA: 0s - loss: 0.0745
241/241 [==============================] - 0s 1ms/step - loss: 0.0741
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1431
 40/241 [===>..........................] - ETA: 0s - loss: 0.0780
 81/241 [=========>....................] - ETA: 0s - loss: 0.0693
120/241 [=============>................] - ETA: 0s - loss: 0.0729
159/241 [==================>...........] - ETA: 0s - loss: 0.0696
196/241 [=======================>......] - ETA: 0s - loss: 0.0740
229/241 [===========================>..] - ETA: 0s - loss: 0.0777
241/241 [==============================] - 0s 1ms/step - loss: 0.0782
-> test with GAN.predict
GAN tn, fp: 565, 38
GAN fn, tp: 3, 28
GAN f1 score: 0.577
GAN cohens kappa score: 0.547

-> test with 'LR'
LR tn, fp: 520, 83
LR fn, tp: 6, 25
LR f1 score: 0.360
LR cohens kappa score: 0.307
LR average precision score: 0.492

-> test with 'RF'
RF tn, fp: 601, 2
RF fn, tp: 12, 19
RF f1 score: 0.731
RF cohens kappa score: 0.720

-> test with 'GB'
GB tn, fp: 601, 2
GB fn, tp: 6, 25
GB f1 score: 0.862
GB cohens kappa score: 0.855

-> test with 'KNN'
KNN tn, fp: 579, 24
KNN fn, tp: 9, 22
KNN f1 score: 0.571
KNN cohens kappa score: 0.545


------ Step 3/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 59s - loss: 0.1809
 38/241 [===>..........................] - ETA: 0s - loss: 0.1203 
 62/241 [======>.......................] - ETA: 0s - loss: 0.1237
 81/241 [=========>....................] - ETA: 0s - loss: 0.1201
122/241 [==============>...............] - ETA: 0s - loss: 0.1108
162/241 [===================>..........] - ETA: 0s - loss: 0.1040
196/241 [=======================>......] - ETA: 0s - loss: 0.1018
228/241 [===========================>..] - ETA: 0s - loss: 0.0965
239/241 [============================>.] - ETA: 0s - loss: 0.0944
241/241 [==============================] - 1s 2ms/step - loss: 0.0941
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0425
 40/241 [===>..........................] - ETA: 0s - loss: 0.0802
 81/241 [=========>....................] - ETA: 0s - loss: 0.0868
118/241 [=============>................] - ETA: 0s - loss: 0.0794
148/241 [=================>............] - ETA: 0s - loss: 0.0790
183/241 [=====================>........] - ETA: 0s - loss: 0.0808
227/241 [===========================>..] - ETA: 0s - loss: 0.0797
241/241 [==============================] - 0s 1ms/step - loss: 0.0794
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.1008
 44/241 [====>.........................] - ETA: 0s - loss: 0.0635
 86/241 [=========>....................] - ETA: 0s - loss: 0.0628
127/241 [==============>...............] - ETA: 0s - loss: 0.0618
160/241 [==================>...........] - ETA: 0s - loss: 0.0630
186/241 [======================>.......] - ETA: 0s - loss: 0.0681
209/241 [=========================>....] - ETA: 0s - loss: 0.0672
241/241 [==============================] - 0s 1ms/step - loss: 0.0692
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0751
 40/241 [===>..........................] - ETA: 0s - loss: 0.0573
 77/241 [========>.....................] - ETA: 0s - loss: 0.0626
114/241 [=============>................] - ETA: 0s - loss: 0.0592
124/241 [==============>...............] - ETA: 0s - loss: 0.0604
164/241 [===================>..........] - ETA: 0s - loss: 0.0689
202/241 [========================>.....] - ETA: 0s - loss: 0.0744
241/241 [==============================] - ETA: 0s - loss: 0.0719
241/241 [==============================] - 0s 2ms/step - loss: 0.0719
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.1435
 37/241 [===>..........................] - ETA: 0s - loss: 0.0607
 49/241 [=====>........................] - ETA: 0s - loss: 0.0602
 75/241 [========>.....................] - ETA: 0s - loss: 0.0730
115/241 [=============>................] - ETA: 0s - loss: 0.0665
153/241 [==================>...........] - ETA: 0s - loss: 0.0633
190/241 [======================>.......] - ETA: 0s - loss: 0.0653
227/241 [===========================>..] - ETA: 0s - loss: 0.0685
232/241 [===========================>..] - ETA: 0s - loss: 0.0684
241/241 [==============================] - 0s 2ms/step - loss: 0.0670
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0128
 40/241 [===>..........................] - ETA: 0s - loss: 0.0630
 78/241 [========>.....................] - ETA: 0s - loss: 0.0592
117/241 [=============>................] - ETA: 0s - loss: 0.0635
153/241 [==================>...........] - ETA: 0s - loss: 0.0657
164/241 [===================>..........] - ETA: 0s - loss: 0.0655
193/241 [=======================>......] - ETA: 0s - loss: 0.0674
227/241 [===========================>..] - ETA: 0s - loss: 0.0636
241/241 [==============================] - 0s 2ms/step - loss: 0.0632
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0124
 33/241 [===>..........................] - ETA: 0s - loss: 0.0656
 66/241 [=======>......................] - ETA: 0s - loss: 0.0580
 88/241 [=========>....................] - ETA: 0s - loss: 0.0555
115/241 [=============>................] - ETA: 0s - loss: 0.0571
155/241 [==================>...........] - ETA: 0s - loss: 0.0597
194/241 [=======================>......] - ETA: 0s - loss: 0.0618
232/241 [===========================>..] - ETA: 0s - loss: 0.0637
241/241 [==============================] - 0s 2ms/step - loss: 0.0633
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0438
 28/241 [==>...........................] - ETA: 0s - loss: 0.0539
 40/241 [===>..........................] - ETA: 0s - loss: 0.0656
 75/241 [========>.....................] - ETA: 0s - loss: 0.0658
111/241 [============>.................] - ETA: 0s - loss: 0.0621
149/241 [=================>............] - ETA: 0s - loss: 0.0621
184/241 [=====================>........] - ETA: 0s - loss: 0.0638
206/241 [========================>.....] - ETA: 0s - loss: 0.0608
222/241 [==========================>...] - ETA: 0s - loss: 0.0611
241/241 [==============================] - 0s 2ms/step - loss: 0.0614
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.1501
 41/241 [====>.........................] - ETA: 0s - loss: 0.0560
 80/241 [========>.....................] - ETA: 0s - loss: 0.0623
114/241 [=============>................] - ETA: 0s - loss: 0.0645
136/241 [===============>..............] - ETA: 0s - loss: 0.0643
160/241 [==================>...........] - ETA: 0s - loss: 0.0632
200/241 [=======================>......] - ETA: 0s - loss: 0.0597
240/241 [============================>.] - ETA: 0s - loss: 0.0585
241/241 [==============================] - 0s 2ms/step - loss: 0.0583
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0153
 37/241 [===>..........................] - ETA: 0s - loss: 0.0666
 68/241 [=======>......................] - ETA: 0s - loss: 0.0594
 92/241 [==========>...................] - ETA: 0s - loss: 0.0540
133/241 [===============>..............] - ETA: 0s - loss: 0.0541
173/241 [====================>.........] - ETA: 0s - loss: 0.0543
214/241 [=========================>....] - ETA: 0s - loss: 0.0566
241/241 [==============================] - 0s 2ms/step - loss: 0.0570
-> test with GAN.predict
GAN tn, fp: 565, 38
GAN fn, tp: 5, 26
GAN f1 score: 0.547
GAN cohens kappa score: 0.515

-> test with 'LR'
LR tn, fp: 529, 74
LR fn, tp: 10, 21
LR f1 score: 0.333
LR cohens kappa score: 0.280
LR average precision score: 0.295

-> test with 'RF'
RF tn, fp: 594, 9
RF fn, tp: 4, 27
RF f1 score: 0.806
RF cohens kappa score: 0.795

-> test with 'GB'
GB tn, fp: 591, 12
GB fn, tp: 3, 28
GB f1 score: 0.789
GB cohens kappa score: 0.776

-> test with 'KNN'
KNN tn, fp: 572, 31
KNN fn, tp: 7, 24
KNN f1 score: 0.558
KNN cohens kappa score: 0.529


------ Step 3/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 49s - loss: 0.1771
 35/241 [===>..........................] - ETA: 0s - loss: 0.1280 
 70/241 [=======>......................] - ETA: 0s - loss: 0.1104
109/241 [============>.................] - ETA: 0s - loss: 0.1048
148/241 [=================>............] - ETA: 0s - loss: 0.0993
183/241 [=====================>........] - ETA: 0s - loss: 0.0970
221/241 [==========================>...] - ETA: 0s - loss: 0.0972
241/241 [==============================] - 1s 1ms/step - loss: 0.0950
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0403
 41/241 [====>.........................] - ETA: 0s - loss: 0.0692
 81/241 [=========>....................] - ETA: 0s - loss: 0.0660
121/241 [==============>...............] - ETA: 0s - loss: 0.0858
161/241 [===================>..........] - ETA: 0s - loss: 0.0841
197/241 [=======================>......] - ETA: 0s - loss: 0.0824
236/241 [============================>.] - ETA: 0s - loss: 0.0813
241/241 [==============================] - 0s 1ms/step - loss: 0.0809
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0627
 40/241 [===>..........................] - ETA: 0s - loss: 0.0839
 79/241 [========>.....................] - ETA: 0s - loss: 0.0770
119/241 [=============>................] - ETA: 0s - loss: 0.0762
160/241 [==================>...........] - ETA: 0s - loss: 0.0768
200/241 [=======================>......] - ETA: 0s - loss: 0.0727
240/241 [============================>.] - ETA: 0s - loss: 0.0741
241/241 [==============================] - 0s 1ms/step - loss: 0.0753
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0212
 42/241 [====>.........................] - ETA: 0s - loss: 0.0627
 81/241 [=========>....................] - ETA: 0s - loss: 0.0620
121/241 [==============>...............] - ETA: 0s - loss: 0.0651
161/241 [===================>..........] - ETA: 0s - loss: 0.0641
200/241 [=======================>......] - ETA: 0s - loss: 0.0630
238/241 [============================>.] - ETA: 0s - loss: 0.0666
241/241 [==============================] - 0s 1ms/step - loss: 0.0678
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0199
 41/241 [====>.........................] - ETA: 0s - loss: 0.0702
 81/241 [=========>....................] - ETA: 0s - loss: 0.0773
119/241 [=============>................] - ETA: 0s - loss: 0.0795
157/241 [==================>...........] - ETA: 0s - loss: 0.0784
196/241 [=======================>......] - ETA: 0s - loss: 0.0739
234/241 [============================>.] - ETA: 0s - loss: 0.0734
241/241 [==============================] - 0s 1ms/step - loss: 0.0725
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0398
 40/241 [===>..........................] - ETA: 0s - loss: 0.0545
 78/241 [========>.....................] - ETA: 0s - loss: 0.0659
117/241 [=============>................] - ETA: 0s - loss: 0.0705
158/241 [==================>...........] - ETA: 0s - loss: 0.0719
197/241 [=======================>......] - ETA: 0s - loss: 0.0770
237/241 [============================>.] - ETA: 0s - loss: 0.0738
241/241 [==============================] - 0s 1ms/step - loss: 0.0733
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.2979
 37/241 [===>..........................] - ETA: 0s - loss: 0.0644
 75/241 [========>.....................] - ETA: 0s - loss: 0.0728
115/241 [=============>................] - ETA: 0s - loss: 0.0745
154/241 [==================>...........] - ETA: 0s - loss: 0.0764
186/241 [======================>.......] - ETA: 0s - loss: 0.0737
219/241 [==========================>...] - ETA: 0s - loss: 0.0717
241/241 [==============================] - 0s 1ms/step - loss: 0.0754
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1618
 40/241 [===>..........................] - ETA: 0s - loss: 0.0743
 80/241 [========>.....................] - ETA: 0s - loss: 0.0748
120/241 [=============>................] - ETA: 0s - loss: 0.0697
158/241 [==================>...........] - ETA: 0s - loss: 0.0721
196/241 [=======================>......] - ETA: 0s - loss: 0.0672
235/241 [============================>.] - ETA: 0s - loss: 0.0703
241/241 [==============================] - 0s 1ms/step - loss: 0.0691
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.1582
 38/241 [===>..........................] - ETA: 0s - loss: 0.0589
 78/241 [========>.....................] - ETA: 0s - loss: 0.0654
116/241 [=============>................] - ETA: 0s - loss: 0.0679
157/241 [==================>...........] - ETA: 0s - loss: 0.0682
197/241 [=======================>......] - ETA: 0s - loss: 0.0646
236/241 [============================>.] - ETA: 0s - loss: 0.0663
241/241 [==============================] - 0s 1ms/step - loss: 0.0657
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0999
 41/241 [====>.........................] - ETA: 0s - loss: 0.1029
 80/241 [========>.....................] - ETA: 0s - loss: 0.0747
120/241 [=============>................] - ETA: 0s - loss: 0.0622
160/241 [==================>...........] - ETA: 0s - loss: 0.0584
199/241 [=======================>......] - ETA: 0s - loss: 0.0602
239/241 [============================>.] - ETA: 0s - loss: 0.0630
241/241 [==============================] - 0s 1ms/step - loss: 0.0634
-> test with GAN.predict
GAN tn, fp: 586, 17
GAN fn, tp: 8, 23
GAN f1 score: 0.648
GAN cohens kappa score: 0.627

-> test with 'LR'
LR tn, fp: 516, 87
LR fn, tp: 0, 31
LR f1 score: 0.416
LR cohens kappa score: 0.367
LR average precision score: 0.552

-> test with 'RF'
RF tn, fp: 598, 5
RF fn, tp: 6, 25
RF f1 score: 0.820
RF cohens kappa score: 0.811

-> test with 'GB'
GB tn, fp: 586, 17
GB fn, tp: 3, 28
GB f1 score: 0.737
GB cohens kappa score: 0.721

-> test with 'KNN'
KNN tn, fp: 569, 34
KNN fn, tp: 8, 23
KNN f1 score: 0.523
KNN cohens kappa score: 0.490


------ Step 3/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 43s - loss: 0.7613
 42/241 [====>.........................] - ETA: 0s - loss: 0.0951 
 76/241 [========>.....................] - ETA: 0s - loss: 0.0995
117/241 [=============>................] - ETA: 0s - loss: 0.0894
156/241 [==================>...........] - ETA: 0s - loss: 0.0841
194/241 [=======================>......] - ETA: 0s - loss: 0.0857
233/241 [============================>.] - ETA: 0s - loss: 0.0874
241/241 [==============================] - 0s 1ms/step - loss: 0.0856
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0748
 40/241 [===>..........................] - ETA: 0s - loss: 0.0648
 80/241 [========>.....................] - ETA: 0s - loss: 0.0677
120/241 [=============>................] - ETA: 0s - loss: 0.0671
161/241 [===================>..........] - ETA: 0s - loss: 0.0666
202/241 [========================>.....] - ETA: 0s - loss: 0.0676
241/241 [==============================] - ETA: 0s - loss: 0.0688
241/241 [==============================] - 0s 1ms/step - loss: 0.0688
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0482
 40/241 [===>..........................] - ETA: 0s - loss: 0.0564
 74/241 [========>.....................] - ETA: 0s - loss: 0.0645
110/241 [============>.................] - ETA: 0s - loss: 0.0655
149/241 [=================>............] - ETA: 0s - loss: 0.0643
189/241 [======================>.......] - ETA: 0s - loss: 0.0621
230/241 [===========================>..] - ETA: 0s - loss: 0.0612
241/241 [==============================] - 0s 1ms/step - loss: 0.0595
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.1092
 36/241 [===>..........................] - ETA: 0s - loss: 0.0492
 70/241 [=======>......................] - ETA: 0s - loss: 0.0581
103/241 [===========>..................] - ETA: 0s - loss: 0.0602
141/241 [================>.............] - ETA: 0s - loss: 0.0600
181/241 [=====================>........] - ETA: 0s - loss: 0.0621
220/241 [==========================>...] - ETA: 0s - loss: 0.0604
241/241 [==============================] - 0s 1ms/step - loss: 0.0597
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0144
 41/241 [====>.........................] - ETA: 0s - loss: 0.0308
 80/241 [========>.....................] - ETA: 0s - loss: 0.0408
120/241 [=============>................] - ETA: 0s - loss: 0.0492
159/241 [==================>...........] - ETA: 0s - loss: 0.0516
197/241 [=======================>......] - ETA: 0s - loss: 0.0531
235/241 [============================>.] - ETA: 0s - loss: 0.0547
241/241 [==============================] - 0s 1ms/step - loss: 0.0541
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0110
 40/241 [===>..........................] - ETA: 0s - loss: 0.0417
 79/241 [========>.....................] - ETA: 0s - loss: 0.0487
119/241 [=============>................] - ETA: 0s - loss: 0.0506
159/241 [==================>...........] - ETA: 0s - loss: 0.0498
198/241 [=======================>......] - ETA: 0s - loss: 0.0492
236/241 [============================>.] - ETA: 0s - loss: 0.0520
241/241 [==============================] - 0s 1ms/step - loss: 0.0521
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0135
 39/241 [===>..........................] - ETA: 0s - loss: 0.0640
 79/241 [========>.....................] - ETA: 0s - loss: 0.0681
120/241 [=============>................] - ETA: 0s - loss: 0.0607
160/241 [==================>...........] - ETA: 0s - loss: 0.0594
201/241 [========================>.....] - ETA: 0s - loss: 0.0571
234/241 [============================>.] - ETA: 0s - loss: 0.0543
241/241 [==============================] - 0s 1ms/step - loss: 0.0546
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0253
 40/241 [===>..........................] - ETA: 0s - loss: 0.0557
 75/241 [========>.....................] - ETA: 0s - loss: 0.0540
116/241 [=============>................] - ETA: 0s - loss: 0.0647
155/241 [==================>...........] - ETA: 0s - loss: 0.0595
195/241 [=======================>......] - ETA: 0s - loss: 0.0553
235/241 [============================>.] - ETA: 0s - loss: 0.0572
241/241 [==============================] - 0s 1ms/step - loss: 0.0565
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0489
 40/241 [===>..........................] - ETA: 0s - loss: 0.0489
 78/241 [========>.....................] - ETA: 0s - loss: 0.0620
119/241 [=============>................] - ETA: 0s - loss: 0.0583
157/241 [==================>...........] - ETA: 0s - loss: 0.0549
195/241 [=======================>......] - ETA: 0s - loss: 0.0528
234/241 [============================>.] - ETA: 0s - loss: 0.0493
241/241 [==============================] - 0s 1ms/step - loss: 0.0488
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0533
 41/241 [====>.........................] - ETA: 0s - loss: 0.0484
 80/241 [========>.....................] - ETA: 0s - loss: 0.0431
118/241 [=============>................] - ETA: 0s - loss: 0.0469
157/241 [==================>...........] - ETA: 0s - loss: 0.0481
195/241 [=======================>......] - ETA: 0s - loss: 0.0523
228/241 [===========================>..] - ETA: 0s - loss: 0.0524
241/241 [==============================] - 0s 1ms/step - loss: 0.0528
-> test with GAN.predict
GAN tn, fp: 577, 26
GAN fn, tp: 9, 22
GAN f1 score: 0.557
GAN cohens kappa score: 0.529

-> test with 'LR'
LR tn, fp: 507, 96
LR fn, tp: 2, 29
LR f1 score: 0.372
LR cohens kappa score: 0.318
LR average precision score: 0.474

-> test with 'RF'
RF tn, fp: 595, 8
RF fn, tp: 9, 22
RF f1 score: 0.721
RF cohens kappa score: 0.707

-> test with 'GB'
GB tn, fp: 590, 13
GB fn, tp: 5, 26
GB f1 score: 0.743
GB cohens kappa score: 0.728

-> test with 'KNN'
KNN tn, fp: 574, 29
KNN fn, tp: 7, 24
KNN f1 score: 0.571
KNN cohens kappa score: 0.543


------ Step 3/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2288 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/242 [..............................] - ETA: 51s - loss: 0.2093
 32/242 [==>...........................] - ETA: 0s - loss: 0.2267 
 55/242 [=====>........................] - ETA: 0s - loss: 0.1827
 94/242 [==========>...................] - ETA: 0s - loss: 0.1467
135/242 [===============>..............] - ETA: 0s - loss: 0.1418
165/242 [===================>..........] - ETA: 0s - loss: 0.1377
192/242 [======================>.......] - ETA: 0s - loss: 0.1290
218/242 [==========================>...] - ETA: 0s - loss: 0.1243
242/242 [==============================] - 1s 2ms/step - loss: 0.1229
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0356
 40/242 [===>..........................] - ETA: 0s - loss: 0.0901
 76/242 [========>.....................] - ETA: 0s - loss: 0.0815
105/242 [============>.................] - ETA: 0s - loss: 0.0868
121/242 [==============>...............] - ETA: 0s - loss: 0.0897
150/242 [=================>............] - ETA: 0s - loss: 0.0942
183/242 [=====================>........] - ETA: 0s - loss: 0.0877
218/242 [==========================>...] - ETA: 0s - loss: 0.0876
242/242 [==============================] - 0s 2ms/step - loss: 0.0846
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.0117
 24/242 [=>............................] - ETA: 0s - loss: 0.0844
 48/242 [====>.........................] - ETA: 0s - loss: 0.0838
 83/242 [=========>....................] - ETA: 0s - loss: 0.0769
118/242 [=============>................] - ETA: 0s - loss: 0.0738
152/242 [=================>............] - ETA: 0s - loss: 0.0754
175/242 [====================>.........] - ETA: 0s - loss: 0.0745
192/242 [======================>.......] - ETA: 0s - loss: 0.0767
232/242 [===========================>..] - ETA: 0s - loss: 0.0774
242/242 [==============================] - 0s 2ms/step - loss: 0.0770
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.6863
 40/242 [===>..........................] - ETA: 0s - loss: 0.1085
 76/242 [========>.....................] - ETA: 0s - loss: 0.1033
 95/242 [==========>...................] - ETA: 0s - loss: 0.0966
119/242 [=============>................] - ETA: 0s - loss: 0.0911
155/242 [==================>...........] - ETA: 0s - loss: 0.0835
189/242 [======================>.......] - ETA: 0s - loss: 0.0838
219/242 [==========================>...] - ETA: 0s - loss: 0.0804
238/242 [============================>.] - ETA: 0s - loss: 0.0772
242/242 [==============================] - 0s 2ms/step - loss: 0.0771
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.0140
 31/242 [==>...........................] - ETA: 0s - loss: 0.1064
 70/242 [=======>......................] - ETA: 0s - loss: 0.0858
108/242 [============>.................] - ETA: 0s - loss: 0.0793
144/242 [================>.............] - ETA: 0s - loss: 0.0776
161/242 [==================>...........] - ETA: 0s - loss: 0.0823
187/242 [======================>.......] - ETA: 0s - loss: 0.0819
228/242 [===========================>..] - ETA: 0s - loss: 0.0781
242/242 [==============================] - 0s 2ms/step - loss: 0.0756
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0073
 39/242 [===>..........................] - ETA: 0s - loss: 0.0724
 74/242 [========>.....................] - ETA: 0s - loss: 0.0671
 83/242 [=========>....................] - ETA: 0s - loss: 0.0669
116/242 [=============>................] - ETA: 0s - loss: 0.0705
150/242 [=================>............] - ETA: 0s - loss: 0.0690
186/242 [======================>.......] - ETA: 0s - loss: 0.0703
220/242 [==========================>...] - ETA: 0s - loss: 0.0707
239/242 [============================>.] - ETA: 0s - loss: 0.0681
242/242 [==============================] - 0s 2ms/step - loss: 0.0678
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.0392
 38/242 [===>..........................] - ETA: 0s - loss: 0.0473
 77/242 [========>.....................] - ETA: 0s - loss: 0.0535
116/242 [=============>................] - ETA: 0s - loss: 0.0600
153/242 [=================>............] - ETA: 0s - loss: 0.0599
160/242 [==================>...........] - ETA: 0s - loss: 0.0593
199/242 [=======================>......] - ETA: 0s - loss: 0.0606
238/242 [============================>.] - ETA: 0s - loss: 0.0635
242/242 [==============================] - 0s 1ms/step - loss: 0.0630
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0394
 38/242 [===>..........................] - ETA: 0s - loss: 0.0728
 73/242 [========>.....................] - ETA: 0s - loss: 0.0727
 96/242 [==========>...................] - ETA: 0s - loss: 0.0697
137/242 [===============>..............] - ETA: 0s - loss: 0.0675
176/242 [====================>.........] - ETA: 0s - loss: 0.0689
213/242 [=========================>....] - ETA: 0s - loss: 0.0685
234/242 [============================>.] - ETA: 0s - loss: 0.0656
242/242 [==============================] - 0s 2ms/step - loss: 0.0656
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0705
 41/242 [====>.........................] - ETA: 0s - loss: 0.0437
 82/242 [=========>....................] - ETA: 0s - loss: 0.0492
116/242 [=============>................] - ETA: 0s - loss: 0.0572
144/242 [================>.............] - ETA: 0s - loss: 0.0582
176/242 [====================>.........] - ETA: 0s - loss: 0.0583
217/242 [=========================>....] - ETA: 0s - loss: 0.0604
242/242 [==============================] - 0s 1ms/step - loss: 0.0624
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0281
 34/242 [===>..........................] - ETA: 0s - loss: 0.0458
 53/242 [=====>........................] - ETA: 0s - loss: 0.0555
 79/242 [========>.....................] - ETA: 0s - loss: 0.0578
113/242 [=============>................] - ETA: 0s - loss: 0.0550
152/242 [=================>............] - ETA: 0s - loss: 0.0599
187/242 [======================>.......] - ETA: 0s - loss: 0.0625
210/242 [=========================>....] - ETA: 0s - loss: 0.0628
229/242 [===========================>..] - ETA: 0s - loss: 0.0609
242/242 [==============================] - 0s 2ms/step - loss: 0.0604
-> test with GAN.predict
GAN tn, fp: 591, 9
GAN fn, tp: 9, 18
GAN f1 score: 0.667
GAN cohens kappa score: 0.652

-> test with 'LR'
LR tn, fp: 510, 90
LR fn, tp: 5, 22
LR f1 score: 0.317
LR cohens kappa score: 0.266
LR average precision score: 0.287

-> test with 'RF'
RF tn, fp: 596, 4
RF fn, tp: 3, 24
RF f1 score: 0.873
RF cohens kappa score: 0.867

-> test with 'GB'
GB tn, fp: 593, 7
GB fn, tp: 1, 26
GB f1 score: 0.867
GB cohens kappa score: 0.860

-> test with 'KNN'
KNN tn, fp: 577, 23
KNN fn, tp: 2, 25
KNN f1 score: 0.667
KNN cohens kappa score: 0.647


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

------ Step 4/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 45s - loss: 0.7247
 42/241 [====>.........................] - ETA: 0s - loss: 0.2033 
 82/241 [=========>....................] - ETA: 0s - loss: 0.1756
123/241 [==============>...............] - ETA: 0s - loss: 0.1528
163/241 [===================>..........] - ETA: 0s - loss: 0.1471
203/241 [========================>.....] - ETA: 0s - loss: 0.1442
241/241 [==============================] - 0s 1ms/step - loss: 0.1352
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0286
 41/241 [====>.........................] - ETA: 0s - loss: 0.1092
 80/241 [========>.....................] - ETA: 0s - loss: 0.1065
113/241 [=============>................] - ETA: 0s - loss: 0.1004
149/241 [=================>............] - ETA: 0s - loss: 0.0994
182/241 [=====================>........] - ETA: 0s - loss: 0.1026
221/241 [==========================>...] - ETA: 0s - loss: 0.0994
241/241 [==============================] - 0s 1ms/step - loss: 0.0965
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0355
 41/241 [====>.........................] - ETA: 0s - loss: 0.0747
 77/241 [========>.....................] - ETA: 0s - loss: 0.0747
116/241 [=============>................] - ETA: 0s - loss: 0.0814
155/241 [==================>...........] - ETA: 0s - loss: 0.0828
195/241 [=======================>......] - ETA: 0s - loss: 0.0865
235/241 [============================>.] - ETA: 0s - loss: 0.0935
241/241 [==============================] - 0s 1ms/step - loss: 0.0937
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.1667
 43/241 [====>.........................] - ETA: 0s - loss: 0.0861
 84/241 [=========>....................] - ETA: 0s - loss: 0.0827
125/241 [==============>...............] - ETA: 0s - loss: 0.0870
165/241 [===================>..........] - ETA: 0s - loss: 0.0865
203/241 [========================>.....] - ETA: 0s - loss: 0.0868
241/241 [==============================] - 0s 1ms/step - loss: 0.0832
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0449
 39/241 [===>..........................] - ETA: 0s - loss: 0.0625
 78/241 [========>.....................] - ETA: 0s - loss: 0.0629
118/241 [=============>................] - ETA: 0s - loss: 0.0748
155/241 [==================>...........] - ETA: 0s - loss: 0.0791
194/241 [=======================>......] - ETA: 0s - loss: 0.0814
232/241 [===========================>..] - ETA: 0s - loss: 0.0835
241/241 [==============================] - 0s 1ms/step - loss: 0.0827
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0145
 41/241 [====>.........................] - ETA: 0s - loss: 0.0813
 80/241 [========>.....................] - ETA: 0s - loss: 0.0813
120/241 [=============>................] - ETA: 0s - loss: 0.0794
161/241 [===================>..........] - ETA: 0s - loss: 0.0815
202/241 [========================>.....] - ETA: 0s - loss: 0.0794
241/241 [==============================] - 0s 1ms/step - loss: 0.0808
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0162
 37/241 [===>..........................] - ETA: 0s - loss: 0.0825
 74/241 [========>.....................] - ETA: 0s - loss: 0.0746
113/241 [=============>................] - ETA: 0s - loss: 0.0879
150/241 [=================>............] - ETA: 0s - loss: 0.0842
190/241 [======================>.......] - ETA: 0s - loss: 0.0814
231/241 [===========================>..] - ETA: 0s - loss: 0.0781
241/241 [==============================] - 0s 1ms/step - loss: 0.0791
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1158
 40/241 [===>..........................] - ETA: 0s - loss: 0.0708
 78/241 [========>.....................] - ETA: 0s - loss: 0.0742
118/241 [=============>................] - ETA: 0s - loss: 0.0747
153/241 [==================>...........] - ETA: 0s - loss: 0.0724
189/241 [======================>.......] - ETA: 0s - loss: 0.0742
229/241 [===========================>..] - ETA: 0s - loss: 0.0752
241/241 [==============================] - 0s 1ms/step - loss: 0.0766
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.1227
 40/241 [===>..........................] - ETA: 0s - loss: 0.0676
 73/241 [========>.....................] - ETA: 0s - loss: 0.0877
108/241 [============>.................] - ETA: 0s - loss: 0.0856
142/241 [================>.............] - ETA: 0s - loss: 0.0827
181/241 [=====================>........] - ETA: 0s - loss: 0.0794
220/241 [==========================>...] - ETA: 0s - loss: 0.0785
241/241 [==============================] - 0s 1ms/step - loss: 0.0777
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1757
 40/241 [===>..........................] - ETA: 0s - loss: 0.0837
 79/241 [========>.....................] - ETA: 0s - loss: 0.0740
118/241 [=============>................] - ETA: 0s - loss: 0.0725
157/241 [==================>...........] - ETA: 0s - loss: 0.0696
198/241 [=======================>......] - ETA: 0s - loss: 0.0674
239/241 [============================>.] - ETA: 0s - loss: 0.0678
241/241 [==============================] - 0s 1ms/step - loss: 0.0679
-> test with GAN.predict
GAN tn, fp: 586, 17
GAN fn, tp: 10, 21
GAN f1 score: 0.609
GAN cohens kappa score: 0.586

-> test with 'LR'
LR tn, fp: 525, 78
LR fn, tp: 5, 26
LR f1 score: 0.385
LR cohens kappa score: 0.335
LR average precision score: 0.389

-> test with 'RF'
RF tn, fp: 597, 6
RF fn, tp: 7, 24
RF f1 score: 0.787
RF cohens kappa score: 0.776

-> test with 'GB'
GB tn, fp: 593, 10
GB fn, tp: 3, 28
GB f1 score: 0.812
GB cohens kappa score: 0.801

-> test with 'KNN'
KNN tn, fp: 566, 37
KNN fn, tp: 6, 25
KNN f1 score: 0.538
KNN cohens kappa score: 0.505


------ Step 4/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 42s - loss: 0.4984
 41/241 [====>.........................] - ETA: 0s - loss: 0.5046 
 79/241 [========>.....................] - ETA: 0s - loss: 0.3382
119/241 [=============>................] - ETA: 0s - loss: 0.2766
160/241 [==================>...........] - ETA: 0s - loss: 0.2373
200/241 [=======================>......] - ETA: 0s - loss: 0.2143
238/241 [============================>.] - ETA: 0s - loss: 0.1979
241/241 [==============================] - 0s 1ms/step - loss: 0.1965
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0888
 42/241 [====>.........................] - ETA: 0s - loss: 0.0985
 81/241 [=========>....................] - ETA: 0s - loss: 0.1024
122/241 [==============>...............] - ETA: 0s - loss: 0.1079
162/241 [===================>..........] - ETA: 0s - loss: 0.1054
202/241 [========================>.....] - ETA: 0s - loss: 0.1054
239/241 [============================>.] - ETA: 0s - loss: 0.1122
241/241 [==============================] - 0s 1ms/step - loss: 0.1119
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.1476
 33/241 [===>..........................] - ETA: 0s - loss: 0.0996
 66/241 [=======>......................] - ETA: 0s - loss: 0.1067
102/241 [===========>..................] - ETA: 0s - loss: 0.0980
141/241 [================>.............] - ETA: 0s - loss: 0.0966
178/241 [=====================>........] - ETA: 0s - loss: 0.0937
217/241 [==========================>...] - ETA: 0s - loss: 0.0970
241/241 [==============================] - 0s 1ms/step - loss: 0.0965
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.1537
 41/241 [====>.........................] - ETA: 0s - loss: 0.0872
 81/241 [=========>....................] - ETA: 0s - loss: 0.0815
120/241 [=============>................] - ETA: 0s - loss: 0.0764
159/241 [==================>...........] - ETA: 0s - loss: 0.0852
199/241 [=======================>......] - ETA: 0s - loss: 0.0892
239/241 [============================>.] - ETA: 0s - loss: 0.0922
241/241 [==============================] - 0s 1ms/step - loss: 0.0923
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0186
 42/241 [====>.........................] - ETA: 0s - loss: 0.0702
 82/241 [=========>....................] - ETA: 0s - loss: 0.0728
120/241 [=============>................] - ETA: 0s - loss: 0.0867
160/241 [==================>...........] - ETA: 0s - loss: 0.0846
201/241 [========================>.....] - ETA: 0s - loss: 0.0847
241/241 [==============================] - 0s 1ms/step - loss: 0.0857
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0230
 40/241 [===>..........................] - ETA: 0s - loss: 0.0654
 80/241 [========>.....................] - ETA: 0s - loss: 0.0900
117/241 [=============>................] - ETA: 0s - loss: 0.0898
155/241 [==================>...........] - ETA: 0s - loss: 0.0894
190/241 [======================>.......] - ETA: 0s - loss: 0.0855
225/241 [===========================>..] - ETA: 0s - loss: 0.0843
241/241 [==============================] - 0s 1ms/step - loss: 0.0833
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0356
 41/241 [====>.........................] - ETA: 0s - loss: 0.0688
 79/241 [========>.....................] - ETA: 0s - loss: 0.0759
119/241 [=============>................] - ETA: 0s - loss: 0.0800
155/241 [==================>...........] - ETA: 0s - loss: 0.0820
195/241 [=======================>......] - ETA: 0s - loss: 0.0827
236/241 [============================>.] - ETA: 0s - loss: 0.0823
241/241 [==============================] - 0s 1ms/step - loss: 0.0816
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0507
 42/241 [====>.........................] - ETA: 0s - loss: 0.0677
 80/241 [========>.....................] - ETA: 0s - loss: 0.0744
117/241 [=============>................] - ETA: 0s - loss: 0.0745
156/241 [==================>...........] - ETA: 0s - loss: 0.0754
194/241 [=======================>......] - ETA: 0s - loss: 0.0786
233/241 [============================>.] - ETA: 0s - loss: 0.0826
241/241 [==============================] - 0s 1ms/step - loss: 0.0832
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.1403
 39/241 [===>..........................] - ETA: 0s - loss: 0.0939
 75/241 [========>.....................] - ETA: 0s - loss: 0.0874
114/241 [=============>................] - ETA: 0s - loss: 0.0811
154/241 [==================>...........] - ETA: 0s - loss: 0.0806
191/241 [======================>.......] - ETA: 0s - loss: 0.0781
225/241 [===========================>..] - ETA: 0s - loss: 0.0837
241/241 [==============================] - 0s 1ms/step - loss: 0.0840
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1050
 35/241 [===>..........................] - ETA: 0s - loss: 0.1092
 76/241 [========>.....................] - ETA: 0s - loss: 0.0859
116/241 [=============>................] - ETA: 0s - loss: 0.0865
154/241 [==================>...........] - ETA: 0s - loss: 0.0822
190/241 [======================>.......] - ETA: 0s - loss: 0.0841
224/241 [==========================>...] - ETA: 0s - loss: 0.0848
241/241 [==============================] - 0s 1ms/step - loss: 0.0842
-> test with GAN.predict
GAN tn, fp: 585, 18
GAN fn, tp: 8, 23
GAN f1 score: 0.639
GAN cohens kappa score: 0.618

-> test with 'LR'
LR tn, fp: 534, 69
LR fn, tp: 6, 25
LR f1 score: 0.400
LR cohens kappa score: 0.352
LR average precision score: 0.430

-> test with 'RF'
RF tn, fp: 598, 5
RF fn, tp: 6, 25
RF f1 score: 0.820
RF cohens kappa score: 0.811

-> test with 'GB'
GB tn, fp: 595, 8
GB fn, tp: 3, 28
GB f1 score: 0.836
GB cohens kappa score: 0.827

-> test with 'KNN'
KNN tn, fp: 576, 27
KNN fn, tp: 4, 27
KNN f1 score: 0.635
KNN cohens kappa score: 0.611


------ Step 4/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 54s - loss: 0.0181
 40/241 [===>..........................] - ETA: 0s - loss: 0.1230 
 78/241 [========>.....................] - ETA: 0s - loss: 0.1094
109/241 [============>.................] - ETA: 0s - loss: 0.1008
142/241 [================>.............] - ETA: 0s - loss: 0.1059
160/241 [==================>...........] - ETA: 0s - loss: 0.1029
200/241 [=======================>......] - ETA: 0s - loss: 0.0982
240/241 [============================>.] - ETA: 0s - loss: 0.0952
241/241 [==============================] - 1s 2ms/step - loss: 0.0948
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0560
 40/241 [===>..........................] - ETA: 0s - loss: 0.0751
 75/241 [========>.....................] - ETA: 0s - loss: 0.0649
101/241 [===========>..................] - ETA: 0s - loss: 0.0644
131/241 [===============>..............] - ETA: 0s - loss: 0.0663
171/241 [====================>.........] - ETA: 0s - loss: 0.0676
209/241 [=========================>....] - ETA: 0s - loss: 0.0726
241/241 [==============================] - 0s 1ms/step - loss: 0.0740
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0412
 36/241 [===>..........................] - ETA: 0s - loss: 0.0811
 43/241 [====>.........................] - ETA: 0s - loss: 0.0802
 76/241 [========>.....................] - ETA: 0s - loss: 0.0686
115/241 [=============>................] - ETA: 0s - loss: 0.0706
153/241 [==================>...........] - ETA: 0s - loss: 0.0697
189/241 [======================>.......] - ETA: 0s - loss: 0.0670
220/241 [==========================>...] - ETA: 0s - loss: 0.0673
241/241 [==============================] - ETA: 0s - loss: 0.0652
241/241 [==============================] - 0s 2ms/step - loss: 0.0652
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0439
 41/241 [====>.........................] - ETA: 0s - loss: 0.0659
 81/241 [=========>....................] - ETA: 0s - loss: 0.0703
122/241 [==============>...............] - ETA: 0s - loss: 0.0655
159/241 [==================>...........] - ETA: 0s - loss: 0.0642
172/241 [====================>.........] - ETA: 0s - loss: 0.0649
200/241 [=======================>......] - ETA: 0s - loss: 0.0633
240/241 [============================>.] - ETA: 0s - loss: 0.0614
241/241 [==============================] - 0s 1ms/step - loss: 0.0614
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.3490
 40/241 [===>..........................] - ETA: 0s - loss: 0.0888
 78/241 [========>.....................] - ETA: 0s - loss: 0.0754
107/241 [============>.................] - ETA: 0s - loss: 0.0686
123/241 [==============>...............] - ETA: 0s - loss: 0.0685
164/241 [===================>..........] - ETA: 0s - loss: 0.0674
204/241 [========================>.....] - ETA: 0s - loss: 0.0652
238/241 [============================>.] - ETA: 0s - loss: 0.0633
241/241 [==============================] - 0s 2ms/step - loss: 0.0629
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0107
 33/241 [===>..........................] - ETA: 0s - loss: 0.0647
 42/241 [====>.........................] - ETA: 0s - loss: 0.0669
 68/241 [=======>......................] - ETA: 0s - loss: 0.0677
100/241 [===========>..................] - ETA: 0s - loss: 0.0623
134/241 [===============>..............] - ETA: 0s - loss: 0.0593
173/241 [====================>.........] - ETA: 0s - loss: 0.0580
211/241 [=========================>....] - ETA: 0s - loss: 0.0578
219/241 [==========================>...] - ETA: 0s - loss: 0.0564
241/241 [==============================] - 0s 2ms/step - loss: 0.0589
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0204
 42/241 [====>.........................] - ETA: 0s - loss: 0.0522
 80/241 [========>.....................] - ETA: 0s - loss: 0.0657
117/241 [=============>................] - ETA: 0s - loss: 0.0616
150/241 [=================>............] - ETA: 0s - loss: 0.0570
169/241 [====================>.........] - ETA: 0s - loss: 0.0582
209/241 [=========================>....] - ETA: 0s - loss: 0.0563
241/241 [==============================] - 0s 2ms/step - loss: 0.0589
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0853
 41/241 [====>.........................] - ETA: 0s - loss: 0.0736
 76/241 [========>.....................] - ETA: 0s - loss: 0.0678
 92/241 [==========>...................] - ETA: 0s - loss: 0.0605
125/241 [==============>...............] - ETA: 0s - loss: 0.0591
165/241 [===================>..........] - ETA: 0s - loss: 0.0592
203/241 [========================>.....] - ETA: 0s - loss: 0.0575
239/241 [============================>.] - ETA: 0s - loss: 0.0575
241/241 [==============================] - 0s 2ms/step - loss: 0.0579
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0187
 35/241 [===>..........................] - ETA: 0s - loss: 0.1055
 54/241 [=====>........................] - ETA: 0s - loss: 0.0811
 94/241 [==========>...................] - ETA: 0s - loss: 0.0670
134/241 [===============>..............] - ETA: 0s - loss: 0.0612
173/241 [====================>.........] - ETA: 0s - loss: 0.0605
211/241 [=========================>....] - ETA: 0s - loss: 0.0568
220/241 [==========================>...] - ETA: 0s - loss: 0.0558
241/241 [==============================] - 0s 2ms/step - loss: 0.0588
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1827
 42/241 [====>.........................] - ETA: 0s - loss: 0.0599
 81/241 [=========>....................] - ETA: 0s - loss: 0.0592
119/241 [=============>................] - ETA: 0s - loss: 0.0618
156/241 [==================>...........] - ETA: 0s - loss: 0.0592
163/241 [===================>..........] - ETA: 0s - loss: 0.0582
197/241 [=======================>......] - ETA: 0s - loss: 0.0561
237/241 [============================>.] - ETA: 0s - loss: 0.0584
241/241 [==============================] - 0s 2ms/step - loss: 0.0581
-> test with GAN.predict
GAN tn, fp: 584, 19
GAN fn, tp: 5, 26
GAN f1 score: 0.684
GAN cohens kappa score: 0.665

-> test with 'LR'
LR tn, fp: 509, 94
LR fn, tp: 2, 29
LR f1 score: 0.377
LR cohens kappa score: 0.324
LR average precision score: 0.574

-> test with 'RF'
RF tn, fp: 599, 4
RF fn, tp: 8, 23
RF f1 score: 0.793
RF cohens kappa score: 0.783

-> test with 'GB'
GB tn, fp: 595, 8
GB fn, tp: 5, 26
GB f1 score: 0.800
GB cohens kappa score: 0.789

-> test with 'KNN'
KNN tn, fp: 577, 26
KNN fn, tp: 5, 26
KNN f1 score: 0.627
KNN cohens kappa score: 0.602


------ Step 4/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 45s - loss: 0.1606
 42/241 [====>.........................] - ETA: 0s - loss: 0.1499 
 82/241 [=========>....................] - ETA: 0s - loss: 0.1301
122/241 [==============>...............] - ETA: 0s - loss: 0.1223
162/241 [===================>..........] - ETA: 0s - loss: 0.1113
202/241 [========================>.....] - ETA: 0s - loss: 0.1061
241/241 [==============================] - 0s 1ms/step - loss: 0.0992
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0426
 41/241 [====>.........................] - ETA: 0s - loss: 0.0806
 80/241 [========>.....................] - ETA: 0s - loss: 0.0831
119/241 [=============>................] - ETA: 0s - loss: 0.0871
158/241 [==================>...........] - ETA: 0s - loss: 0.0796
197/241 [=======================>......] - ETA: 0s - loss: 0.0767
237/241 [============================>.] - ETA: 0s - loss: 0.0761
241/241 [==============================] - 0s 1ms/step - loss: 0.0755
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0148
 38/241 [===>..........................] - ETA: 0s - loss: 0.0876
 79/241 [========>.....................] - ETA: 0s - loss: 0.0846
118/241 [=============>................] - ETA: 0s - loss: 0.0734
158/241 [==================>...........] - ETA: 0s - loss: 0.0695
198/241 [=======================>......] - ETA: 0s - loss: 0.0691
239/241 [============================>.] - ETA: 0s - loss: 0.0694
241/241 [==============================] - 0s 1ms/step - loss: 0.0691
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.3098
 35/241 [===>..........................] - ETA: 0s - loss: 0.0782
 69/241 [=======>......................] - ETA: 0s - loss: 0.0728
101/241 [===========>..................] - ETA: 0s - loss: 0.0717
138/241 [================>.............] - ETA: 0s - loss: 0.0779
178/241 [=====================>........] - ETA: 0s - loss: 0.0734
219/241 [==========================>...] - ETA: 0s - loss: 0.0711
241/241 [==============================] - 0s 1ms/step - loss: 0.0689
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0177
 38/241 [===>..........................] - ETA: 0s - loss: 0.0659
 76/241 [========>.....................] - ETA: 0s - loss: 0.0620
115/241 [=============>................] - ETA: 0s - loss: 0.0625
155/241 [==================>...........] - ETA: 0s - loss: 0.0620
196/241 [=======================>......] - ETA: 0s - loss: 0.0650
236/241 [============================>.] - ETA: 0s - loss: 0.0639
241/241 [==============================] - 0s 1ms/step - loss: 0.0631
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0278
 42/241 [====>.........................] - ETA: 0s - loss: 0.0550
 81/241 [=========>....................] - ETA: 0s - loss: 0.0722
122/241 [==============>...............] - ETA: 0s - loss: 0.0768
161/241 [===================>..........] - ETA: 0s - loss: 0.0687
200/241 [=======================>......] - ETA: 0s - loss: 0.0632
238/241 [============================>.] - ETA: 0s - loss: 0.0631
241/241 [==============================] - 0s 1ms/step - loss: 0.0632
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0211
 42/241 [====>.........................] - ETA: 0s - loss: 0.0604
 83/241 [=========>....................] - ETA: 0s - loss: 0.0578
123/241 [==============>...............] - ETA: 0s - loss: 0.0523
164/241 [===================>..........] - ETA: 0s - loss: 0.0550
205/241 [========================>.....] - ETA: 0s - loss: 0.0563
241/241 [==============================] - 0s 1ms/step - loss: 0.0612
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0510
 41/241 [====>.........................] - ETA: 0s - loss: 0.0530
 82/241 [=========>....................] - ETA: 0s - loss: 0.0487
120/241 [=============>................] - ETA: 0s - loss: 0.0560
160/241 [==================>...........] - ETA: 0s - loss: 0.0550
200/241 [=======================>......] - ETA: 0s - loss: 0.0568
238/241 [============================>.] - ETA: 0s - loss: 0.0555
241/241 [==============================] - 0s 1ms/step - loss: 0.0552
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0374
 39/241 [===>..........................] - ETA: 0s - loss: 0.0468
 76/241 [========>.....................] - ETA: 0s - loss: 0.0501
117/241 [=============>................] - ETA: 0s - loss: 0.0510
157/241 [==================>...........] - ETA: 0s - loss: 0.0530
198/241 [=======================>......] - ETA: 0s - loss: 0.0536
237/241 [============================>.] - ETA: 0s - loss: 0.0544
241/241 [==============================] - 0s 1ms/step - loss: 0.0544
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0280
 42/241 [====>.........................] - ETA: 0s - loss: 0.0672
 79/241 [========>.....................] - ETA: 0s - loss: 0.0641
119/241 [=============>................] - ETA: 0s - loss: 0.0551
159/241 [==================>...........] - ETA: 0s - loss: 0.0554
199/241 [=======================>......] - ETA: 0s - loss: 0.0557
236/241 [============================>.] - ETA: 0s - loss: 0.0573
241/241 [==============================] - 0s 1ms/step - loss: 0.0577
-> test with GAN.predict
GAN tn, fp: 584, 19
GAN fn, tp: 8, 23
GAN f1 score: 0.630
GAN cohens kappa score: 0.608

-> test with 'LR'
LR tn, fp: 500, 103
LR fn, tp: 3, 28
LR f1 score: 0.346
LR cohens kappa score: 0.289
LR average precision score: 0.429

-> test with 'RF'
RF tn, fp: 601, 2
RF fn, tp: 7, 24
RF f1 score: 0.842
RF cohens kappa score: 0.835

-> test with 'GB'
GB tn, fp: 594, 9
GB fn, tp: 3, 28
GB f1 score: 0.824
GB cohens kappa score: 0.814

-> test with 'KNN'
KNN tn, fp: 568, 35
KNN fn, tp: 7, 24
KNN f1 score: 0.533
KNN cohens kappa score: 0.501


------ Step 4/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2288 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/242 [..............................] - ETA: 53s - loss: 0.1147
 40/242 [===>..........................] - ETA: 0s - loss: 0.1208 
 75/242 [========>.....................] - ETA: 0s - loss: 0.1110
 92/242 [==========>...................] - ETA: 0s - loss: 0.1040
124/242 [==============>...............] - ETA: 0s - loss: 0.0972
158/242 [==================>...........] - ETA: 0s - loss: 0.0939
191/242 [======================>.......] - ETA: 0s - loss: 0.0931
223/242 [==========================>...] - ETA: 0s - loss: 0.0900
242/242 [==============================] - 1s 2ms/step - loss: 0.0899
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0446
 15/242 [>.............................] - ETA: 0s - loss: 0.0843
 52/242 [=====>........................] - ETA: 0s - loss: 0.0737
 93/242 [==========>...................] - ETA: 0s - loss: 0.0738
132/242 [===============>..............] - ETA: 0s - loss: 0.0757
168/242 [===================>..........] - ETA: 0s - loss: 0.0736
181/242 [=====================>........] - ETA: 0s - loss: 0.0715
214/242 [=========================>....] - ETA: 0s - loss: 0.0728
242/242 [==============================] - 0s 2ms/step - loss: 0.0756
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.0590
 41/242 [====>.........................] - ETA: 0s - loss: 0.0602
 78/242 [========>.....................] - ETA: 0s - loss: 0.0675
110/242 [============>.................] - ETA: 0s - loss: 0.0639
132/242 [===============>..............] - ETA: 0s - loss: 0.0676
172/242 [====================>.........] - ETA: 0s - loss: 0.0670
212/242 [=========================>....] - ETA: 0s - loss: 0.0676
242/242 [==============================] - 0s 1ms/step - loss: 0.0701
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.1278
 38/242 [===>..........................] - ETA: 0s - loss: 0.0579
 50/242 [=====>........................] - ETA: 0s - loss: 0.0516
 85/242 [=========>....................] - ETA: 0s - loss: 0.0612
125/242 [==============>...............] - ETA: 0s - loss: 0.0625
163/242 [===================>..........] - ETA: 0s - loss: 0.0565
197/242 [=======================>......] - ETA: 0s - loss: 0.0592
227/242 [===========================>..] - ETA: 0s - loss: 0.0625
242/242 [==============================] - 0s 2ms/step - loss: 0.0628
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.0160
 43/242 [====>.........................] - ETA: 0s - loss: 0.0567
 81/242 [=========>....................] - ETA: 0s - loss: 0.0683
118/242 [=============>................] - ETA: 0s - loss: 0.0604
155/242 [==================>...........] - ETA: 0s - loss: 0.0595
173/242 [====================>.........] - ETA: 0s - loss: 0.0578
215/242 [=========================>....] - ETA: 0s - loss: 0.0597
242/242 [==============================] - 0s 1ms/step - loss: 0.0620
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0183
 41/242 [====>.........................] - ETA: 0s - loss: 0.0558
 75/242 [========>.....................] - ETA: 0s - loss: 0.0614
 94/242 [==========>...................] - ETA: 0s - loss: 0.0641
123/242 [==============>...............] - ETA: 0s - loss: 0.0601
164/242 [===================>..........] - ETA: 0s - loss: 0.0594
204/242 [========================>.....] - ETA: 0s - loss: 0.0594
240/242 [============================>.] - ETA: 0s - loss: 0.0631
242/242 [==============================] - 0s 1ms/step - loss: 0.0629
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.0762
 21/242 [=>............................] - ETA: 0s - loss: 0.0413
 39/242 [===>..........................] - ETA: 0s - loss: 0.0459
 74/242 [========>.....................] - ETA: 0s - loss: 0.0526
109/242 [============>.................] - ETA: 0s - loss: 0.0551
146/242 [=================>............] - ETA: 0s - loss: 0.0564
180/242 [=====================>........] - ETA: 0s - loss: 0.0563
190/242 [======================>.......] - ETA: 0s - loss: 0.0556
228/242 [===========================>..] - ETA: 0s - loss: 0.0591
242/242 [==============================] - 0s 2ms/step - loss: 0.0600
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0243
 40/242 [===>..........................] - ETA: 0s - loss: 0.0612
 79/242 [========>.....................] - ETA: 0s - loss: 0.0559
116/242 [=============>................] - ETA: 0s - loss: 0.0538
124/242 [==============>...............] - ETA: 0s - loss: 0.0540
161/242 [==================>...........] - ETA: 0s - loss: 0.0549
201/242 [=======================>......] - ETA: 0s - loss: 0.0560
240/242 [============================>.] - ETA: 0s - loss: 0.0589
242/242 [==============================] - 0s 1ms/step - loss: 0.0589
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0098
 38/242 [===>..........................] - ETA: 0s - loss: 0.0579
 56/242 [=====>........................] - ETA: 0s - loss: 0.0551
 94/242 [==========>...................] - ETA: 0s - loss: 0.0533
135/242 [===============>..............] - ETA: 0s - loss: 0.0551
173/242 [====================>.........] - ETA: 0s - loss: 0.0570
207/242 [========================>.....] - ETA: 0s - loss: 0.0563
223/242 [==========================>...] - ETA: 0s - loss: 0.0569
242/242 [==============================] - 0s 2ms/step - loss: 0.0573
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0021
 41/242 [====>.........................] - ETA: 0s - loss: 0.0543
 81/242 [=========>....................] - ETA: 0s - loss: 0.0541
120/242 [=============>................] - ETA: 0s - loss: 0.0604
157/242 [==================>...........] - ETA: 0s - loss: 0.0596
164/242 [===================>..........] - ETA: 0s - loss: 0.0584
203/242 [========================>.....] - ETA: 0s - loss: 0.0594
242/242 [==============================] - 0s 1ms/step - loss: 0.0599
-> test with GAN.predict
GAN tn, fp: 584, 16
GAN fn, tp: 9, 18
GAN f1 score: 0.590
GAN cohens kappa score: 0.569

-> test with 'LR'
LR tn, fp: 521, 79
LR fn, tp: 8, 19
LR f1 score: 0.304
LR cohens kappa score: 0.254
LR average precision score: 0.404

-> test with 'RF'
RF tn, fp: 597, 3
RF fn, tp: 9, 18
RF f1 score: 0.750
RF cohens kappa score: 0.740

-> test with 'GB'
GB tn, fp: 594, 6
GB fn, tp: 6, 21
GB f1 score: 0.778
GB cohens kappa score: 0.768

-> test with 'KNN'
KNN tn, fp: 569, 31
KNN fn, tp: 5, 22
KNN f1 score: 0.550
KNN cohens kappa score: 0.523


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

------ Step 5/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 50s - loss: 1.1288
 42/241 [====>.........................] - ETA: 0s - loss: 0.2330 
 81/241 [=========>....................] - ETA: 0s - loss: 0.1944
115/241 [=============>................] - ETA: 0s - loss: 0.1628
131/241 [===============>..............] - ETA: 0s - loss: 0.1493
162/241 [===================>..........] - ETA: 0s - loss: 0.1347
203/241 [========================>.....] - ETA: 0s - loss: 0.1267
241/241 [==============================] - 1s 1ms/step - loss: 0.1192
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0353
 36/241 [===>..........................] - ETA: 0s - loss: 0.0837
 59/241 [======>.......................] - ETA: 0s - loss: 0.0866
 89/241 [==========>...................] - ETA: 0s - loss: 0.0797
129/241 [===============>..............] - ETA: 0s - loss: 0.0872
166/241 [===================>..........] - ETA: 0s - loss: 0.0896
198/241 [=======================>......] - ETA: 0s - loss: 0.0896
231/241 [===========================>..] - ETA: 0s - loss: 0.0843
241/241 [==============================] - 0s 2ms/step - loss: 0.0856
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0603
 36/241 [===>..........................] - ETA: 0s - loss: 0.0773
 77/241 [========>.....................] - ETA: 0s - loss: 0.0728
116/241 [=============>................] - ETA: 0s - loss: 0.0713
151/241 [=================>............] - ETA: 0s - loss: 0.0697
164/241 [===================>..........] - ETA: 0s - loss: 0.0723
195/241 [=======================>......] - ETA: 0s - loss: 0.0715
235/241 [============================>.] - ETA: 0s - loss: 0.0739
241/241 [==============================] - 0s 2ms/step - loss: 0.0740
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0603
 40/241 [===>..........................] - ETA: 0s - loss: 0.0573
 70/241 [=======>......................] - ETA: 0s - loss: 0.0634
 75/241 [========>.....................] - ETA: 0s - loss: 0.0663
 99/241 [===========>..................] - ETA: 0s - loss: 0.0604
138/241 [================>.............] - ETA: 0s - loss: 0.0666
178/241 [=====================>........] - ETA: 0s - loss: 0.0701
213/241 [=========================>....] - ETA: 0s - loss: 0.0688
231/241 [===========================>..] - ETA: 0s - loss: 0.0701
241/241 [==============================] - 0s 2ms/step - loss: 0.0718
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.1193
 40/241 [===>..........................] - ETA: 0s - loss: 0.0746
 80/241 [========>.....................] - ETA: 0s - loss: 0.0750
118/241 [=============>................] - ETA: 0s - loss: 0.0650
151/241 [=================>............] - ETA: 0s - loss: 0.0680
171/241 [====================>.........] - ETA: 0s - loss: 0.0667
210/241 [=========================>....] - ETA: 0s - loss: 0.0646
241/241 [==============================] - 0s 2ms/step - loss: 0.0666
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0491
 36/241 [===>..........................] - ETA: 0s - loss: 0.0477
 68/241 [=======>......................] - ETA: 0s - loss: 0.0562
 88/241 [=========>....................] - ETA: 0s - loss: 0.0648
129/241 [===============>..............] - ETA: 0s - loss: 0.0670
169/241 [====================>.........] - ETA: 0s - loss: 0.0624
206/241 [========================>.....] - ETA: 0s - loss: 0.0645
234/241 [============================>.] - ETA: 0s - loss: 0.0641
241/241 [==============================] - 0s 2ms/step - loss: 0.0639
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0636
 41/241 [====>.........................] - ETA: 0s - loss: 0.0547
 81/241 [=========>....................] - ETA: 0s - loss: 0.0615
119/241 [=============>................] - ETA: 0s - loss: 0.0617
153/241 [==================>...........] - ETA: 0s - loss: 0.0677
174/241 [====================>.........] - ETA: 0s - loss: 0.0662
215/241 [=========================>....] - ETA: 0s - loss: 0.0657
241/241 [==============================] - 0s 1ms/step - loss: 0.0643
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0193
 40/241 [===>..........................] - ETA: 0s - loss: 0.0476
 76/241 [========>.....................] - ETA: 0s - loss: 0.0477
 88/241 [=========>....................] - ETA: 0s - loss: 0.0512
121/241 [==============>...............] - ETA: 0s - loss: 0.0563
161/241 [===================>..........] - ETA: 0s - loss: 0.0592
201/241 [========================>.....] - ETA: 0s - loss: 0.0628
238/241 [============================>.] - ETA: 0s - loss: 0.0605
241/241 [==============================] - 0s 2ms/step - loss: 0.0605
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0251
 15/241 [>.............................] - ETA: 0s - loss: 0.0409
 47/241 [====>.........................] - ETA: 0s - loss: 0.0554
 88/241 [=========>....................] - ETA: 0s - loss: 0.0587
128/241 [==============>...............] - ETA: 0s - loss: 0.0624
163/241 [===================>..........] - ETA: 0s - loss: 0.0622
177/241 [=====================>........] - ETA: 0s - loss: 0.0601
201/241 [========================>.....] - ETA: 0s - loss: 0.0598
236/241 [============================>.] - ETA: 0s - loss: 0.0598
241/241 [==============================] - 0s 2ms/step - loss: 0.0590
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0991
 37/241 [===>..........................] - ETA: 0s - loss: 0.0666
 73/241 [========>.....................] - ETA: 0s - loss: 0.0579
 86/241 [=========>....................] - ETA: 0s - loss: 0.0595
116/241 [=============>................] - ETA: 0s - loss: 0.0657
156/241 [==================>...........] - ETA: 0s - loss: 0.0653
195/241 [=======================>......] - ETA: 0s - loss: 0.0606
231/241 [===========================>..] - ETA: 0s - loss: 0.0599
241/241 [==============================] - 0s 2ms/step - loss: 0.0592
-> test with GAN.predict
GAN tn, fp: 571, 32
GAN fn, tp: 5, 26
GAN f1 score: 0.584
GAN cohens kappa score: 0.556

-> test with 'LR'
LR tn, fp: 525, 78
LR fn, tp: 5, 26
LR f1 score: 0.385
LR cohens kappa score: 0.335
LR average precision score: 0.397

-> test with 'RF'
RF tn, fp: 598, 5
RF fn, tp: 7, 24
RF f1 score: 0.800
RF cohens kappa score: 0.790

-> test with 'GB'
GB tn, fp: 591, 12
GB fn, tp: 6, 25
GB f1 score: 0.735
GB cohens kappa score: 0.720

-> test with 'KNN'
KNN tn, fp: 580, 23
KNN fn, tp: 6, 25
KNN f1 score: 0.633
KNN cohens kappa score: 0.610


------ Step 5/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 52s - loss: 0.1060
 34/241 [===>..........................] - ETA: 0s - loss: 0.2093 
 68/241 [=======>......................] - ETA: 0s - loss: 0.1686
107/241 [============>.................] - ETA: 0s - loss: 0.1415
143/241 [================>.............] - ETA: 0s - loss: 0.1341
177/241 [=====================>........] - ETA: 0s - loss: 0.1311
214/241 [=========================>....] - ETA: 0s - loss: 0.1295
241/241 [==============================] - 1s 1ms/step - loss: 0.1242
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0339
 35/241 [===>..........................] - ETA: 0s - loss: 0.0893
 68/241 [=======>......................] - ETA: 0s - loss: 0.0725
102/241 [===========>..................] - ETA: 0s - loss: 0.0745
139/241 [================>.............] - ETA: 0s - loss: 0.0770
177/241 [=====================>........] - ETA: 0s - loss: 0.0766
213/241 [=========================>....] - ETA: 0s - loss: 0.0805
241/241 [==============================] - 0s 1ms/step - loss: 0.0799
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0163
 34/241 [===>..........................] - ETA: 0s - loss: 0.0624
 70/241 [=======>......................] - ETA: 0s - loss: 0.0679
104/241 [===========>..................] - ETA: 0s - loss: 0.0728
138/241 [================>.............] - ETA: 0s - loss: 0.0720
172/241 [====================>.........] - ETA: 0s - loss: 0.0704
209/241 [=========================>....] - ETA: 0s - loss: 0.0704
241/241 [==============================] - 0s 1ms/step - loss: 0.0697
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.1723
 35/241 [===>..........................] - ETA: 0s - loss: 0.0580
 69/241 [=======>......................] - ETA: 0s - loss: 0.0685
104/241 [===========>..................] - ETA: 0s - loss: 0.0700
138/241 [================>.............] - ETA: 0s - loss: 0.0671
172/241 [====================>.........] - ETA: 0s - loss: 0.0664
211/241 [=========================>....] - ETA: 0s - loss: 0.0671
241/241 [==============================] - 0s 1ms/step - loss: 0.0667
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0123
 35/241 [===>..........................] - ETA: 0s - loss: 0.0553
 68/241 [=======>......................] - ETA: 0s - loss: 0.0623
100/241 [===========>..................] - ETA: 0s - loss: 0.0651
131/241 [===============>..............] - ETA: 0s - loss: 0.0626
160/241 [==================>...........] - ETA: 0s - loss: 0.0613
189/241 [======================>.......] - ETA: 0s - loss: 0.0629
226/241 [===========================>..] - ETA: 0s - loss: 0.0639
241/241 [==============================] - 0s 2ms/step - loss: 0.0628
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0443
 39/241 [===>..........................] - ETA: 0s - loss: 0.0682
 77/241 [========>.....................] - ETA: 0s - loss: 0.0684
111/241 [============>.................] - ETA: 0s - loss: 0.0680
116/241 [=============>................] - ETA: 0s - loss: 0.0699
151/241 [=================>............] - ETA: 0s - loss: 0.0664
184/241 [=====================>........] - ETA: 0s - loss: 0.0642
200/241 [=======================>......] - ETA: 0s - loss: 0.0642
236/241 [============================>.] - ETA: 0s - loss: 0.0634
241/241 [==============================] - 0s 2ms/step - loss: 0.0631
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0419
 30/241 [==>...........................] - ETA: 0s - loss: 0.0498
 57/241 [======>.......................] - ETA: 0s - loss: 0.0698
 91/241 [==========>...................] - ETA: 0s - loss: 0.0722
125/241 [==============>...............] - ETA: 0s - loss: 0.0661
160/241 [==================>...........] - ETA: 0s - loss: 0.0659
190/241 [======================>.......] - ETA: 0s - loss: 0.0641
225/241 [===========================>..] - ETA: 0s - loss: 0.0631
241/241 [==============================] - 0s 2ms/step - loss: 0.0613
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0155
 38/241 [===>..........................] - ETA: 0s - loss: 0.0620
 73/241 [========>.....................] - ETA: 0s - loss: 0.0720
107/241 [============>.................] - ETA: 0s - loss: 0.0687
142/241 [================>.............] - ETA: 0s - loss: 0.0632
176/241 [====================>.........] - ETA: 0s - loss: 0.0605
210/241 [=========================>....] - ETA: 0s - loss: 0.0632
241/241 [==============================] - 0s 1ms/step - loss: 0.0623
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0315
 36/241 [===>..........................] - ETA: 0s - loss: 0.0504
 65/241 [=======>......................] - ETA: 0s - loss: 0.0500
101/241 [===========>..................] - ETA: 0s - loss: 0.0531
136/241 [===============>..............] - ETA: 0s - loss: 0.0520
168/241 [===================>..........] - ETA: 0s - loss: 0.0556
198/241 [=======================>......] - ETA: 0s - loss: 0.0566
234/241 [============================>.] - ETA: 0s - loss: 0.0563
241/241 [==============================] - 0s 2ms/step - loss: 0.0552
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1023
 36/241 [===>..........................] - ETA: 0s - loss: 0.0626
 71/241 [=======>......................] - ETA: 0s - loss: 0.0555
102/241 [===========>..................] - ETA: 0s - loss: 0.0586
134/241 [===============>..............] - ETA: 0s - loss: 0.0537
166/241 [===================>..........] - ETA: 0s - loss: 0.0549
201/241 [========================>.....] - ETA: 0s - loss: 0.0562
236/241 [============================>.] - ETA: 0s - loss: 0.0570
241/241 [==============================] - 0s 2ms/step - loss: 0.0564
-> test with GAN.predict
GAN tn, fp: 591, 12
GAN fn, tp: 9, 22
GAN f1 score: 0.677
GAN cohens kappa score: 0.660

-> test with 'LR'
LR tn, fp: 514, 89
LR fn, tp: 4, 27
LR f1 score: 0.367
LR cohens kappa score: 0.314
LR average precision score: 0.477

-> test with 'RF'
RF tn, fp: 601, 2
RF fn, tp: 6, 25
RF f1 score: 0.862
RF cohens kappa score: 0.855

-> test with 'GB'
GB tn, fp: 595, 8
GB fn, tp: 2, 29
GB f1 score: 0.853
GB cohens kappa score: 0.845

-> test with 'KNN'
KNN tn, fp: 569, 34
KNN fn, tp: 7, 24
KNN f1 score: 0.539
KNN cohens kappa score: 0.508


------ Step 5/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 1:03 - loss: 0.5548
 27/241 [==>...........................] - ETA: 0s - loss: 0.3160  
 58/241 [======>.......................] - ETA: 0s - loss: 0.1933
 79/241 [========>.....................] - ETA: 0s - loss: 0.1631
 94/241 [==========>...................] - ETA: 0s - loss: 0.1483
135/241 [===============>..............] - ETA: 0s - loss: 0.1269
175/241 [====================>.........] - ETA: 0s - loss: 0.1175
213/241 [=========================>....] - ETA: 0s - loss: 0.1102
241/241 [==============================] - 1s 2ms/step - loss: 0.1038
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0591
 22/241 [=>............................] - ETA: 0s - loss: 0.0430
 63/241 [======>.......................] - ETA: 0s - loss: 0.0567
103/241 [===========>..................] - ETA: 0s - loss: 0.0584
141/241 [================>.............] - ETA: 0s - loss: 0.0615
174/241 [====================>.........] - ETA: 0s - loss: 0.0630
194/241 [=======================>......] - ETA: 0s - loss: 0.0671
221/241 [==========================>...] - ETA: 0s - loss: 0.0661
241/241 [==============================] - 0s 2ms/step - loss: 0.0666
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0142
 38/241 [===>..........................] - ETA: 0s - loss: 0.0543
 73/241 [========>.....................] - ETA: 0s - loss: 0.0557
108/241 [============>.................] - ETA: 0s - loss: 0.0530
117/241 [=============>................] - ETA: 0s - loss: 0.0558
151/241 [=================>............] - ETA: 0s - loss: 0.0604
187/241 [======================>.......] - ETA: 0s - loss: 0.0594
225/241 [===========================>..] - ETA: 0s - loss: 0.0594
241/241 [==============================] - 0s 2ms/step - loss: 0.0600
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0133
 26/241 [==>...........................] - ETA: 0s - loss: 0.0453
 50/241 [=====>........................] - ETA: 0s - loss: 0.0510
 89/241 [==========>...................] - ETA: 0s - loss: 0.0681
130/241 [===============>..............] - ETA: 0s - loss: 0.0617
168/241 [===================>..........] - ETA: 0s - loss: 0.0632
203/241 [========================>.....] - ETA: 0s - loss: 0.0608
211/241 [=========================>....] - ETA: 0s - loss: 0.0606
241/241 [==============================] - 0s 2ms/step - loss: 0.0595
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0930
 40/241 [===>..........................] - ETA: 0s - loss: 0.0653
 77/241 [========>.....................] - ETA: 0s - loss: 0.0619
112/241 [============>.................] - ETA: 0s - loss: 0.0547
127/241 [==============>...............] - ETA: 0s - loss: 0.0533
156/241 [==================>...........] - ETA: 0s - loss: 0.0560
196/241 [=======================>......] - ETA: 0s - loss: 0.0582
234/241 [============================>.] - ETA: 0s - loss: 0.0574
241/241 [==============================] - 0s 2ms/step - loss: 0.0576
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0710
 39/241 [===>..........................] - ETA: 0s - loss: 0.0459
 78/241 [========>.....................] - ETA: 0s - loss: 0.0517
118/241 [=============>................] - ETA: 0s - loss: 0.0573
152/241 [=================>............] - ETA: 0s - loss: 0.0575
183/241 [=====================>........] - ETA: 0s - loss: 0.0602
215/241 [=========================>....] - ETA: 0s - loss: 0.0587
241/241 [==============================] - 0s 1ms/step - loss: 0.0573
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0077
 40/241 [===>..........................] - ETA: 0s - loss: 0.0636
 79/241 [========>.....................] - ETA: 0s - loss: 0.0560
118/241 [=============>................] - ETA: 0s - loss: 0.0545
157/241 [==================>...........] - ETA: 0s - loss: 0.0520
193/241 [=======================>......] - ETA: 0s - loss: 0.0530
226/241 [===========================>..] - ETA: 0s - loss: 0.0542
241/241 [==============================] - 0s 1ms/step - loss: 0.0539
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0842
 41/241 [====>.........................] - ETA: 0s - loss: 0.0562
 80/241 [========>.....................] - ETA: 0s - loss: 0.0611
118/241 [=============>................] - ETA: 0s - loss: 0.0597
155/241 [==================>...........] - ETA: 0s - loss: 0.0537
192/241 [======================>.......] - ETA: 0s - loss: 0.0529
229/241 [===========================>..] - ETA: 0s - loss: 0.0545
241/241 [==============================] - 0s 1ms/step - loss: 0.0544
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0024
 37/241 [===>..........................] - ETA: 0s - loss: 0.0487
 78/241 [========>.....................] - ETA: 0s - loss: 0.0472
116/241 [=============>................] - ETA: 0s - loss: 0.0439
152/241 [=================>............] - ETA: 0s - loss: 0.0497
186/241 [======================>.......] - ETA: 0s - loss: 0.0506
224/241 [==========================>...] - ETA: 0s - loss: 0.0520
241/241 [==============================] - 0s 1ms/step - loss: 0.0566
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0063
 39/241 [===>..........................] - ETA: 0s - loss: 0.0534
 68/241 [=======>......................] - ETA: 0s - loss: 0.0495
108/241 [============>.................] - ETA: 0s - loss: 0.0501
148/241 [=================>............] - ETA: 0s - loss: 0.0469
185/241 [======================>.......] - ETA: 0s - loss: 0.0484
224/241 [==========================>...] - ETA: 0s - loss: 0.0509
241/241 [==============================] - 0s 1ms/step - loss: 0.0522
-> test with GAN.predict
GAN tn, fp: 586, 17
GAN fn, tp: 12, 19
GAN f1 score: 0.567
GAN cohens kappa score: 0.543

-> test with 'LR'
LR tn, fp: 504, 99
LR fn, tp: 3, 28
LR f1 score: 0.354
LR cohens kappa score: 0.299
LR average precision score: 0.486

-> test with 'RF'
RF tn, fp: 599, 4
RF fn, tp: 10, 21
RF f1 score: 0.750
RF cohens kappa score: 0.739

-> test with 'GB'
GB tn, fp: 595, 8
GB fn, tp: 8, 23
GB f1 score: 0.742
GB cohens kappa score: 0.729

-> test with 'KNN'
KNN tn, fp: 576, 27
KNN fn, tp: 8, 23
KNN f1 score: 0.568
KNN cohens kappa score: 0.540


------ Step 5/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2289 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/241 [..............................] - ETA: 52s - loss: 0.1280
 43/241 [====>.........................] - ETA: 0s - loss: 0.2338 
 84/241 [=========>....................] - ETA: 0s - loss: 0.1987
122/241 [==============>...............] - ETA: 0s - loss: 0.1683
157/241 [==================>...........] - ETA: 0s - loss: 0.1580
179/241 [=====================>........] - ETA: 0s - loss: 0.1515
212/241 [=========================>....] - ETA: 0s - loss: 0.1405
241/241 [==============================] - 1s 2ms/step - loss: 0.1345
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0911
 35/241 [===>..........................] - ETA: 0s - loss: 0.0917
 60/241 [======>.......................] - ETA: 0s - loss: 0.0909
 73/241 [========>.....................] - ETA: 0s - loss: 0.0888
108/241 [============>.................] - ETA: 0s - loss: 0.0845
147/241 [=================>............] - ETA: 0s - loss: 0.0882
184/241 [=====================>........] - ETA: 0s - loss: 0.0938
220/241 [==========================>...] - ETA: 0s - loss: 0.0964
238/241 [============================>.] - ETA: 0s - loss: 0.0936
241/241 [==============================] - 0s 2ms/step - loss: 0.0931
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.2248
 41/241 [====>.........................] - ETA: 0s - loss: 0.0872
 82/241 [=========>....................] - ETA: 0s - loss: 0.0861
120/241 [=============>................] - ETA: 0s - loss: 0.0892
152/241 [=================>............] - ETA: 0s - loss: 0.0949
163/241 [===================>..........] - ETA: 0s - loss: 0.0938
198/241 [=======================>......] - ETA: 0s - loss: 0.0890
237/241 [============================>.] - ETA: 0s - loss: 0.0864
241/241 [==============================] - 0s 2ms/step - loss: 0.0856
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0114
 39/241 [===>..........................] - ETA: 0s - loss: 0.0861
 73/241 [========>.....................] - ETA: 0s - loss: 0.0881
 84/241 [=========>....................] - ETA: 0s - loss: 0.0854
117/241 [=============>................] - ETA: 0s - loss: 0.0864
157/241 [==================>...........] - ETA: 0s - loss: 0.0786
196/241 [=======================>......] - ETA: 0s - loss: 0.0796
231/241 [===========================>..] - ETA: 0s - loss: 0.0801
241/241 [==============================] - 0s 2ms/step - loss: 0.0798
Epoch 5/10

  1/241 [..............................] - ETA: 1s - loss: 0.0294
 17/241 [=>............................] - ETA: 0s - loss: 0.1015
 52/241 [=====>........................] - ETA: 0s - loss: 0.0836
 91/241 [==========>...................] - ETA: 0s - loss: 0.0906
130/241 [===============>..............] - ETA: 0s - loss: 0.0851
165/241 [===================>..........] - ETA: 0s - loss: 0.0844
173/241 [====================>.........] - ETA: 0s - loss: 0.0844
211/241 [=========================>....] - ETA: 0s - loss: 0.0798
241/241 [==============================] - 0s 2ms/step - loss: 0.0773
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0680
 38/241 [===>..........................] - ETA: 0s - loss: 0.0717
 68/241 [=======>......................] - ETA: 0s - loss: 0.0766
 84/241 [=========>....................] - ETA: 0s - loss: 0.0748
114/241 [=============>................] - ETA: 0s - loss: 0.0726
155/241 [==================>...........] - ETA: 0s - loss: 0.0732
195/241 [=======================>......] - ETA: 0s - loss: 0.0714
230/241 [===========================>..] - ETA: 0s - loss: 0.0713
241/241 [==============================] - 0s 2ms/step - loss: 0.0712
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0606
 10/241 [>.............................] - ETA: 1s - loss: 0.0799
 38/241 [===>..........................] - ETA: 0s - loss: 0.0684
 68/241 [=======>......................] - ETA: 0s - loss: 0.0628
105/241 [============>.................] - ETA: 0s - loss: 0.0603
141/241 [================>.............] - ETA: 0s - loss: 0.0609
165/241 [===================>..........] - ETA: 0s - loss: 0.0633
184/241 [=====================>........] - ETA: 0s - loss: 0.0683
223/241 [==========================>...] - ETA: 0s - loss: 0.0670
241/241 [==============================] - 0s 2ms/step - loss: 0.0681
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0470
 35/241 [===>..........................] - ETA: 0s - loss: 0.0794
 72/241 [=======>......................] - ETA: 0s - loss: 0.0661
104/241 [===========>..................] - ETA: 0s - loss: 0.0703
119/241 [=============>................] - ETA: 0s - loss: 0.0694
158/241 [==================>...........] - ETA: 0s - loss: 0.0685
195/241 [=======================>......] - ETA: 0s - loss: 0.0675
231/241 [===========================>..] - ETA: 0s - loss: 0.0684
241/241 [==============================] - 0s 2ms/step - loss: 0.0678
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0745
 23/241 [=>............................] - ETA: 0s - loss: 0.0538
 47/241 [====>.........................] - ETA: 0s - loss: 0.0598
 85/241 [=========>....................] - ETA: 0s - loss: 0.0561
124/241 [==============>...............] - ETA: 0s - loss: 0.0601
159/241 [==================>...........] - ETA: 0s - loss: 0.0614
183/241 [=====================>........] - ETA: 0s - loss: 0.0629
197/241 [=======================>......] - ETA: 0s - loss: 0.0675
236/241 [============================>.] - ETA: 0s - loss: 0.0715
241/241 [==============================] - 0s 2ms/step - loss: 0.0705
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0068
 41/241 [====>.........................] - ETA: 0s - loss: 0.0559
 77/241 [========>.....................] - ETA: 0s - loss: 0.0584
109/241 [============>.................] - ETA: 0s - loss: 0.0573
123/241 [==============>...............] - ETA: 0s - loss: 0.0579
157/241 [==================>...........] - ETA: 0s - loss: 0.0630
197/241 [=======================>......] - ETA: 0s - loss: 0.0644
234/241 [============================>.] - ETA: 0s - loss: 0.0651
241/241 [==============================] - 0s 2ms/step - loss: 0.0661
-> test with GAN.predict
GAN tn, fp: 588, 15
GAN fn, tp: 3, 28
GAN f1 score: 0.757
GAN cohens kappa score: 0.742

-> test with 'LR'
LR tn, fp: 509, 94
LR fn, tp: 4, 27
LR f1 score: 0.355
LR cohens kappa score: 0.301
LR average precision score: 0.559

-> test with 'RF'
RF tn, fp: 599, 4
RF fn, tp: 4, 27
RF f1 score: 0.871
RF cohens kappa score: 0.864

-> test with 'GB'
GB tn, fp: 594, 9
GB fn, tp: 2, 29
GB f1 score: 0.841
GB cohens kappa score: 0.832

-> test with 'KNN'
KNN tn, fp: 575, 28
KNN fn, tp: 7, 24
KNN f1 score: 0.578
KNN cohens kappa score: 0.551


------ Step 5/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2288 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/242 [..............................] - ETA: 47s - loss: 0.2515
 40/242 [===>..........................] - ETA: 0s - loss: 0.2213 
 78/242 [========>.....................] - ETA: 0s - loss: 0.1829
117/242 [=============>................] - ETA: 0s - loss: 0.1673
156/242 [==================>...........] - ETA: 0s - loss: 0.1523
195/242 [=======================>......] - ETA: 0s - loss: 0.1443
233/242 [===========================>..] - ETA: 0s - loss: 0.1393
242/242 [==============================] - 1s 1ms/step - loss: 0.1377
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0416
 39/242 [===>..........................] - ETA: 0s - loss: 0.1014
 79/242 [========>.....................] - ETA: 0s - loss: 0.0965
118/242 [=============>................] - ETA: 0s - loss: 0.1012
153/242 [=================>............] - ETA: 0s - loss: 0.0967
188/242 [======================>.......] - ETA: 0s - loss: 0.0933
221/242 [==========================>...] - ETA: 0s - loss: 0.0960
242/242 [==============================] - 0s 1ms/step - loss: 0.0948
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.1228
 39/242 [===>..........................] - ETA: 0s - loss: 0.0817
 75/242 [========>.....................] - ETA: 0s - loss: 0.0837
111/242 [============>.................] - ETA: 0s - loss: 0.0862
148/242 [=================>............] - ETA: 0s - loss: 0.0857
187/242 [======================>.......] - ETA: 0s - loss: 0.0869
226/242 [===========================>..] - ETA: 0s - loss: 0.0874
242/242 [==============================] - 0s 1ms/step - loss: 0.0850
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.0136
 41/242 [====>.........................] - ETA: 0s - loss: 0.0861
 79/242 [========>.....................] - ETA: 0s - loss: 0.0775
115/242 [=============>................] - ETA: 0s - loss: 0.0778
155/242 [==================>...........] - ETA: 0s - loss: 0.0845
191/242 [======================>.......] - ETA: 0s - loss: 0.0809
228/242 [===========================>..] - ETA: 0s - loss: 0.0789
242/242 [==============================] - 0s 1ms/step - loss: 0.0784
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.2234
 41/242 [====>.........................] - ETA: 0s - loss: 0.0768
 79/242 [========>.....................] - ETA: 0s - loss: 0.0743
117/242 [=============>................] - ETA: 0s - loss: 0.0666
155/242 [==================>...........] - ETA: 0s - loss: 0.0643
193/242 [======================>.......] - ETA: 0s - loss: 0.0720
225/242 [==========================>...] - ETA: 0s - loss: 0.0767
242/242 [==============================] - 0s 1ms/step - loss: 0.0767
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0845
 31/242 [==>...........................] - ETA: 0s - loss: 0.0756
 68/242 [=======>......................] - ETA: 0s - loss: 0.0652
107/242 [============>.................] - ETA: 0s - loss: 0.0688
146/242 [=================>............] - ETA: 0s - loss: 0.0665
185/242 [=====================>........] - ETA: 0s - loss: 0.0652
223/242 [==========================>...] - ETA: 0s - loss: 0.0709
242/242 [==============================] - 0s 1ms/step - loss: 0.0719
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.1593
 40/242 [===>..........................] - ETA: 0s - loss: 0.0752
 79/242 [========>.....................] - ETA: 0s - loss: 0.0885
117/242 [=============>................] - ETA: 0s - loss: 0.0786
153/242 [=================>............] - ETA: 0s - loss: 0.0804
191/242 [======================>.......] - ETA: 0s - loss: 0.0753
230/242 [===========================>..] - ETA: 0s - loss: 0.0708
242/242 [==============================] - 0s 1ms/step - loss: 0.0709
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0220
 39/242 [===>..........................] - ETA: 0s - loss: 0.0878
 79/242 [========>.....................] - ETA: 0s - loss: 0.0770
118/242 [=============>................] - ETA: 0s - loss: 0.0703
156/242 [==================>...........] - ETA: 0s - loss: 0.0758
195/242 [=======================>......] - ETA: 0s - loss: 0.0759
234/242 [============================>.] - ETA: 0s - loss: 0.0751
242/242 [==============================] - 0s 1ms/step - loss: 0.0736
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.1279
 36/242 [===>..........................] - ETA: 0s - loss: 0.0678
 73/242 [========>.....................] - ETA: 0s - loss: 0.0697
112/242 [============>.................] - ETA: 0s - loss: 0.0656
151/242 [=================>............] - ETA: 0s - loss: 0.0720
185/242 [=====================>........] - ETA: 0s - loss: 0.0710
221/242 [==========================>...] - ETA: 0s - loss: 0.0711
242/242 [==============================] - 0s 1ms/step - loss: 0.0689
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0030
 41/242 [====>.........................] - ETA: 0s - loss: 0.0364
 80/242 [========>.....................] - ETA: 0s - loss: 0.0561
118/242 [=============>................] - ETA: 0s - loss: 0.0523
155/242 [==================>...........] - ETA: 0s - loss: 0.0522
194/242 [=======================>......] - ETA: 0s - loss: 0.0594
229/242 [===========================>..] - ETA: 0s - loss: 0.0617
242/242 [==============================] - 0s 1ms/step - loss: 0.0609
-> test with GAN.predict
GAN tn, fp: 574, 26
GAN fn, tp: 4, 23
GAN f1 score: 0.605
GAN cohens kappa score: 0.582

-> test with 'LR'
LR tn, fp: 519, 81
LR fn, tp: 3, 24
LR f1 score: 0.364
LR cohens kappa score: 0.317
LR average precision score: 0.300

-> test with 'RF'
RF tn, fp: 594, 6
RF fn, tp: 10, 17
RF f1 score: 0.680
RF cohens kappa score: 0.667

-> test with 'GB'
GB tn, fp: 588, 12
GB fn, tp: 5, 22
GB f1 score: 0.721
GB cohens kappa score: 0.707

-> test with 'KNN'
KNN tn, fp: 569, 31
KNN fn, tp: 5, 22
KNN f1 score: 0.550
KNN cohens kappa score: 0.523

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 534, 103
LR fn, tp: 10, 31
LR f1 score: 0.416
LR cohens kappa score: 0.367
LR average precision score: 0.574


average:
LR tn, fp: 514.28, 88.12
LR fn, tp: 4.24, 25.96
LR f1 score: 0.360
LR cohens kappa score: 0.308
LR average precision score: 0.436


minimum:
LR tn, fp: 497, 69
LR fn, tp: 0, 19
LR f1 score: 0.304
LR cohens kappa score: 0.254
LR average precision score: 0.281


-----[ RF ]-----
maximum:
RF tn, fp: 601, 9
RF fn, tp: 13, 27
RF f1 score: 0.873
RF cohens kappa score: 0.867


average:
RF tn, fp: 597.64, 4.76
RF fn, tp: 7.24, 22.96
RF f1 score: 0.791
RF cohens kappa score: 0.781


minimum:
RF tn, fp: 594, 2
RF fn, tp: 3, 17
RF f1 score: 0.680
RF cohens kappa score: 0.667


-----[ GB ]-----
maximum:
GB tn, fp: 601, 17
GB fn, tp: 8, 29
GB f1 score: 0.867
GB cohens kappa score: 0.860


average:
GB tn, fp: 592.4, 10.0
GB fn, tp: 4.08, 26.12
GB f1 score: 0.789
GB cohens kappa score: 0.777


minimum:
GB tn, fp: 586, 2
GB fn, tp: 1, 21
GB f1 score: 0.721
GB cohens kappa score: 0.707


-----[ KNN ]-----
maximum:
KNN tn, fp: 580, 37
KNN fn, tp: 10, 27
KNN f1 score: 0.667
KNN cohens kappa score: 0.647


average:
KNN tn, fp: 573.2, 29.2
KNN fn, tp: 6.12, 24.08
KNN f1 score: 0.578
KNN cohens kappa score: 0.551


minimum:
KNN tn, fp: 565, 23
KNN fn, tp: 2, 21
KNN f1 score: 0.523
KNN cohens kappa score: 0.490


-----[ GAN ]-----
maximum:
GAN tn, fp: 594, 46
GAN fn, tp: 12, 30
GAN f1 score: 0.757
GAN cohens kappa score: 0.742


average:
GAN tn, fp: 580.4, 22.0
GAN fn, tp: 6.84, 23.36
GAN f1 score: 0.625
GAN cohens kappa score: 0.602


minimum:
GAN tn, fp: 557, 6
GAN fn, tp: 1, 18
GAN f1 score: 0.547
GAN cohens kappa score: 0.515