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

///////////////////////////////////////////
// Running convGAN-proximary-full 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: 40s - loss: 1.5312
 42/241 [====>.........................] - ETA: 0s - loss: 0.3137 
 83/241 [=========>....................] - ETA: 0s - loss: 0.2147
123/241 [==============>...............] - ETA: 0s - loss: 0.1823
164/241 [===================>..........] - ETA: 0s - loss: 0.1669
203/241 [========================>.....] - ETA: 0s - loss: 0.1585
241/241 [==============================] - 0s 1ms/step - loss: 0.1465
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.1748
 42/241 [====>.........................] - ETA: 0s - loss: 0.0761
 83/241 [=========>....................] - ETA: 0s - loss: 0.0746
124/241 [==============>...............] - ETA: 0s - loss: 0.0632
164/241 [===================>..........] - ETA: 0s - loss: 0.0645
205/241 [========================>.....] - ETA: 0s - loss: 0.0625
241/241 [==============================] - 0s 1ms/step - loss: 0.0631
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 4.9179e-04
 38/241 [===>..........................] - ETA: 0s - loss: 0.0589    
 79/241 [========>.....................] - ETA: 0s - loss: 0.0446
120/241 [=============>................] - ETA: 0s - loss: 0.0471
158/241 [==================>...........] - ETA: 0s - loss: 0.0495
200/241 [=======================>......] - ETA: 0s - loss: 0.0500
240/241 [============================>.] - ETA: 0s - loss: 0.0483
241/241 [==============================] - 0s 1ms/step - loss: 0.0481
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 3.3122e-04
 42/241 [====>.........................] - ETA: 0s - loss: 0.0474    
 84/241 [=========>....................] - ETA: 0s - loss: 0.0351
123/241 [==============>...............] - ETA: 0s - loss: 0.0295
164/241 [===================>..........] - ETA: 0s - loss: 0.0316
204/241 [========================>.....] - ETA: 0s - loss: 0.0367
241/241 [==============================] - 0s 1ms/step - loss: 0.0371
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0148
 41/241 [====>.........................] - ETA: 0s - loss: 0.0349
 81/241 [=========>....................] - ETA: 0s - loss: 0.0343
121/241 [==============>...............] - ETA: 0s - loss: 0.0315
162/241 [===================>..........] - ETA: 0s - loss: 0.0331
203/241 [========================>.....] - ETA: 0s - loss: 0.0352
241/241 [==============================] - 0s 1ms/step - loss: 0.0359
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 5.1234e-05
 42/241 [====>.........................] - ETA: 0s - loss: 0.0218    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0254
122/241 [==============>...............] - ETA: 0s - loss: 0.0250
162/241 [===================>..........] - ETA: 0s - loss: 0.0274
203/241 [========================>.....] - ETA: 0s - loss: 0.0300
241/241 [==============================] - 0s 1ms/step - loss: 0.0326
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0256
 35/241 [===>..........................] - ETA: 0s - loss: 0.0324
 68/241 [=======>......................] - ETA: 0s - loss: 0.0304
103/241 [===========>..................] - ETA: 0s - loss: 0.0238
143/241 [================>.............] - ETA: 0s - loss: 0.0244
185/241 [======================>.......] - ETA: 0s - loss: 0.0253
225/241 [===========================>..] - ETA: 0s - loss: 0.0301
241/241 [==============================] - 0s 1ms/step - loss: 0.0295
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0071
 40/241 [===>..........................] - ETA: 0s - loss: 0.0201
 80/241 [========>.....................] - ETA: 0s - loss: 0.0205
120/241 [=============>................] - ETA: 0s - loss: 0.0248
160/241 [==================>...........] - ETA: 0s - loss: 0.0240
201/241 [========================>.....] - ETA: 0s - loss: 0.0260
241/241 [==============================] - 0s 1ms/step - loss: 0.0290
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0159
 42/241 [====>.........................] - ETA: 0s - loss: 0.0161
 83/241 [=========>....................] - ETA: 0s - loss: 0.0272
124/241 [==============>...............] - ETA: 0s - loss: 0.0286
166/241 [===================>..........] - ETA: 0s - loss: 0.0248
203/241 [========================>.....] - ETA: 0s - loss: 0.0268
241/241 [==============================] - 0s 1ms/step - loss: 0.0279
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0117
 40/241 [===>..........................] - ETA: 0s - loss: 0.0208
 81/241 [=========>....................] - ETA: 0s - loss: 0.0244
122/241 [==============>...............] - ETA: 0s - loss: 0.0281
163/241 [===================>..........] - ETA: 0s - loss: 0.0268
205/241 [========================>.....] - ETA: 0s - loss: 0.0260
241/241 [==============================] - 0s 1ms/step - loss: 0.0264
-> test with GAN.predict
GAN tn, fp: 594, 9
GAN fn, tp: 8, 23
GAN f1 score: 0.730
GAN cohens kappa score: 0.716

-> test with 'LR'
LR tn, fp: 556, 47
LR fn, tp: 7, 24
LR f1 score: 0.471
LR cohens kappa score: 0.432
LR average precision score: 0.516

-> 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: 598, 5
GB fn, tp: 6, 25
GB f1 score: 0.820
GB cohens kappa score: 0.811

-> test with 'KNN'
KNN tn, fp: 595, 8
KNN fn, tp: 10, 21
KNN f1 score: 0.700
KNN cohens kappa score: 0.685


------ 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: 1.5458
 41/241 [====>.........................] - ETA: 0s - loss: 0.2415 
 82/241 [=========>....................] - ETA: 0s - loss: 0.1733
123/241 [==============>...............] - ETA: 0s - loss: 0.1760
163/241 [===================>..........] - ETA: 0s - loss: 0.1651
202/241 [========================>.....] - ETA: 0s - loss: 0.1565
241/241 [==============================] - ETA: 0s - loss: 0.1448
241/241 [==============================] - 0s 1ms/step - loss: 0.1448
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0271
 42/241 [====>.........................] - ETA: 0s - loss: 0.0961
 83/241 [=========>....................] - ETA: 0s - loss: 0.0646
122/241 [==============>...............] - ETA: 0s - loss: 0.0663
162/241 [===================>..........] - ETA: 0s - loss: 0.0571
201/241 [========================>.....] - ETA: 0s - loss: 0.0563
240/241 [============================>.] - ETA: 0s - loss: 0.0528
241/241 [==============================] - 0s 1ms/step - loss: 0.0532
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.2563
 41/241 [====>.........................] - ETA: 0s - loss: 0.0243
 81/241 [=========>....................] - ETA: 0s - loss: 0.0397
120/241 [=============>................] - ETA: 0s - loss: 0.0412
156/241 [==================>...........] - ETA: 0s - loss: 0.0371
196/241 [=======================>......] - ETA: 0s - loss: 0.0374
237/241 [============================>.] - ETA: 0s - loss: 0.0370
241/241 [==============================] - 0s 1ms/step - loss: 0.0376
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0031
 40/241 [===>..........................] - ETA: 0s - loss: 0.0262
 79/241 [========>.....................] - ETA: 0s - loss: 0.0364
116/241 [=============>................] - ETA: 0s - loss: 0.0360
151/241 [=================>............] - ETA: 0s - loss: 0.0338
190/241 [======================>.......] - ETA: 0s - loss: 0.0332
225/241 [===========================>..] - ETA: 0s - loss: 0.0356
241/241 [==============================] - 0s 1ms/step - loss: 0.0356
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0403
 41/241 [====>.........................] - ETA: 0s - loss: 0.0220
 82/241 [=========>....................] - ETA: 0s - loss: 0.0222
123/241 [==============>...............] - ETA: 0s - loss: 0.0257
164/241 [===================>..........] - ETA: 0s - loss: 0.0274
203/241 [========================>.....] - ETA: 0s - loss: 0.0262
241/241 [==============================] - 0s 1ms/step - loss: 0.0284
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0267
 41/241 [====>.........................] - ETA: 0s - loss: 0.0193
 79/241 [========>.....................] - ETA: 0s - loss: 0.0203
113/241 [=============>................] - ETA: 0s - loss: 0.0209
152/241 [=================>............] - ETA: 0s - loss: 0.0270
193/241 [=======================>......] - ETA: 0s - loss: 0.0256
234/241 [============================>.] - ETA: 0s - loss: 0.0248
241/241 [==============================] - 0s 1ms/step - loss: 0.0252
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0142
 37/241 [===>..........................] - ETA: 0s - loss: 0.0420
 72/241 [=======>......................] - ETA: 0s - loss: 0.0355
112/241 [============>.................] - ETA: 0s - loss: 0.0327
152/241 [=================>............] - ETA: 0s - loss: 0.0301
191/241 [======================>.......] - ETA: 0s - loss: 0.0284
230/241 [===========================>..] - ETA: 0s - loss: 0.0272
241/241 [==============================] - 0s 1ms/step - loss: 0.0268
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1435
 40/241 [===>..........................] - ETA: 0s - loss: 0.0136
 79/241 [========>.....................] - ETA: 0s - loss: 0.0223
119/241 [=============>................] - ETA: 0s - loss: 0.0213
158/241 [==================>...........] - ETA: 0s - loss: 0.0213
197/241 [=======================>......] - ETA: 0s - loss: 0.0240
237/241 [============================>.] - ETA: 0s - loss: 0.0238
241/241 [==============================] - 0s 1ms/step - loss: 0.0234
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0940
 40/241 [===>..........................] - ETA: 0s - loss: 0.0339
 81/241 [=========>....................] - ETA: 0s - loss: 0.0253
120/241 [=============>................] - ETA: 0s - loss: 0.0234
157/241 [==================>...........] - ETA: 0s - loss: 0.0219
196/241 [=======================>......] - ETA: 0s - loss: 0.0224
236/241 [============================>.] - ETA: 0s - loss: 0.0237
241/241 [==============================] - 0s 1ms/step - loss: 0.0235
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1154
 41/241 [====>.........................] - ETA: 0s - loss: 0.0301
 80/241 [========>.....................] - ETA: 0s - loss: 0.0216
119/241 [=============>................] - ETA: 0s - loss: 0.0194
158/241 [==================>...........] - ETA: 0s - loss: 0.0203
197/241 [=======================>......] - ETA: 0s - loss: 0.0200
238/241 [============================>.] - ETA: 0s - loss: 0.0200
241/241 [==============================] - 0s 1ms/step - loss: 0.0198
-> test with GAN.predict
GAN tn, fp: 594, 9
GAN fn, tp: 12, 19
GAN f1 score: 0.644
GAN cohens kappa score: 0.627

-> test with 'LR'
LR tn, fp: 543, 60
LR fn, tp: 5, 26
LR f1 score: 0.444
LR cohens kappa score: 0.401
LR average precision score: 0.496

-> test with 'RF'
RF tn, fp: 596, 7
RF fn, tp: 4, 27
RF f1 score: 0.831
RF cohens kappa score: 0.822

-> test with 'GB'
GB tn, fp: 592, 11
GB fn, tp: 3, 28
GB f1 score: 0.800
GB cohens kappa score: 0.788

-> test with 'KNN'
KNN tn, fp: 590, 13
KNN fn, tp: 8, 23
KNN f1 score: 0.687
KNN cohens kappa score: 0.669


------ 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: 42s - loss: 0.6290
 41/241 [====>.........................] - ETA: 0s - loss: 0.2860 
 76/241 [========>.....................] - ETA: 0s - loss: 0.2280
111/241 [============>.................] - ETA: 0s - loss: 0.1911
147/241 [=================>............] - ETA: 0s - loss: 0.1718
181/241 [=====================>........] - ETA: 0s - loss: 0.1651
218/241 [==========================>...] - ETA: 0s - loss: 0.1529
241/241 [==============================] - 1s 1ms/step - loss: 0.1440
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.3470
 40/241 [===>..........................] - ETA: 0s - loss: 0.0798
 79/241 [========>.....................] - ETA: 0s - loss: 0.0701
119/241 [=============>................] - ETA: 0s - loss: 0.0671
160/241 [==================>...........] - ETA: 0s - loss: 0.0606
197/241 [=======================>......] - ETA: 0s - loss: 0.0674
236/241 [============================>.] - ETA: 0s - loss: 0.0649
241/241 [==============================] - 0s 1ms/step - loss: 0.0644
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.4797
 41/241 [====>.........................] - ETA: 0s - loss: 0.0500
 79/241 [========>.....................] - ETA: 0s - loss: 0.0456
119/241 [=============>................] - ETA: 0s - loss: 0.0515
160/241 [==================>...........] - ETA: 0s - loss: 0.0514
199/241 [=======================>......] - ETA: 0s - loss: 0.0489
239/241 [============================>.] - ETA: 0s - loss: 0.0517
241/241 [==============================] - 0s 1ms/step - loss: 0.0517
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0014
 41/241 [====>.........................] - ETA: 0s - loss: 0.0392
 81/241 [=========>....................] - ETA: 0s - loss: 0.0462
122/241 [==============>...............] - ETA: 0s - loss: 0.0425
163/241 [===================>..........] - ETA: 0s - loss: 0.0406
204/241 [========================>.....] - ETA: 0s - loss: 0.0378
241/241 [==============================] - 0s 1ms/step - loss: 0.0409
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0022
 39/241 [===>..........................] - ETA: 0s - loss: 0.0518
 78/241 [========>.....................] - ETA: 0s - loss: 0.0386
118/241 [=============>................] - ETA: 0s - loss: 0.0318
156/241 [==================>...........] - ETA: 0s - loss: 0.0337
195/241 [=======================>......] - ETA: 0s - loss: 0.0329
235/241 [============================>.] - ETA: 0s - loss: 0.0330
241/241 [==============================] - 0s 1ms/step - loss: 0.0330
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 4.2619e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0547    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0423
121/241 [==============>...............] - ETA: 0s - loss: 0.0373
161/241 [===================>..........] - ETA: 0s - loss: 0.0375
199/241 [=======================>......] - ETA: 0s - loss: 0.0357
238/241 [============================>.] - ETA: 0s - loss: 0.0346
241/241 [==============================] - 0s 1ms/step - loss: 0.0343
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0012
 41/241 [====>.........................] - ETA: 0s - loss: 0.0189
 78/241 [========>.....................] - ETA: 0s - loss: 0.0218
118/241 [=============>................] - ETA: 0s - loss: 0.0229
159/241 [==================>...........] - ETA: 0s - loss: 0.0267
197/241 [=======================>......] - ETA: 0s - loss: 0.0293
234/241 [============================>.] - ETA: 0s - loss: 0.0278
241/241 [==============================] - 0s 1ms/step - loss: 0.0289
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1061
 38/241 [===>..........................] - ETA: 0s - loss: 0.0222
 69/241 [=======>......................] - ETA: 0s - loss: 0.0279
103/241 [===========>..................] - ETA: 0s - loss: 0.0326
137/241 [================>.............] - ETA: 0s - loss: 0.0315
174/241 [====================>.........] - ETA: 0s - loss: 0.0283
212/241 [=========================>....] - ETA: 0s - loss: 0.0276
241/241 [==============================] - 0s 1ms/step - loss: 0.0286
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0022
 37/241 [===>..........................] - ETA: 0s - loss: 0.0246
 76/241 [========>.....................] - ETA: 0s - loss: 0.0207
116/241 [=============>................] - ETA: 0s - loss: 0.0257
156/241 [==================>...........] - ETA: 0s - loss: 0.0231
196/241 [=======================>......] - ETA: 0s - loss: 0.0244
237/241 [============================>.] - ETA: 0s - loss: 0.0259
241/241 [==============================] - 0s 1ms/step - loss: 0.0256
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0287
 38/241 [===>..........................] - ETA: 0s - loss: 0.0184
 79/241 [========>.....................] - ETA: 0s - loss: 0.0206
118/241 [=============>................] - ETA: 0s - loss: 0.0258
159/241 [==================>...........] - ETA: 0s - loss: 0.0255
196/241 [=======================>......] - ETA: 0s - loss: 0.0231
237/241 [============================>.] - ETA: 0s - loss: 0.0236
241/241 [==============================] - 0s 1ms/step - loss: 0.0239
-> test with GAN.predict
GAN tn, fp: 589, 14
GAN fn, tp: 10, 21
GAN f1 score: 0.636
GAN cohens kappa score: 0.616

-> test with 'LR'
LR tn, fp: 535, 68
LR fn, tp: 9, 22
LR f1 score: 0.364
LR cohens kappa score: 0.314
LR average precision score: 0.376

-> test with 'RF'
RF tn, fp: 600, 3
RF fn, tp: 6, 25
RF f1 score: 0.847
RF cohens kappa score: 0.840

-> test with 'GB'
GB tn, fp: 597, 6
GB fn, tp: 3, 28
GB f1 score: 0.862
GB cohens kappa score: 0.854

-> test with 'KNN'
KNN tn, fp: 587, 16
KNN fn, tp: 10, 21
KNN f1 score: 0.618
KNN cohens kappa score: 0.596


------ 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: 56s - loss: 0.7439
 37/241 [===>..........................] - ETA: 0s - loss: 0.4364 
 75/241 [========>.....................] - ETA: 0s - loss: 0.2985
115/241 [=============>................] - ETA: 0s - loss: 0.2360
154/241 [==================>...........] - ETA: 0s - loss: 0.1913
187/241 [======================>.......] - ETA: 0s - loss: 0.1836
215/241 [=========================>....] - ETA: 0s - loss: 0.1657
241/241 [==============================] - 1s 1ms/step - loss: 0.1566
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0098
 32/241 [==>...........................] - ETA: 0s - loss: 0.0486
 66/241 [=======>......................] - ETA: 0s - loss: 0.0543
 99/241 [===========>..................] - ETA: 0s - loss: 0.0501
133/241 [===============>..............] - ETA: 0s - loss: 0.0539
166/241 [===================>..........] - ETA: 0s - loss: 0.0565
199/241 [=======================>......] - ETA: 0s - loss: 0.0550
234/241 [============================>.] - ETA: 0s - loss: 0.0542
241/241 [==============================] - 0s 2ms/step - loss: 0.0534
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0110
 37/241 [===>..........................] - ETA: 0s - loss: 0.0369
 75/241 [========>.....................] - ETA: 0s - loss: 0.0455
112/241 [============>.................] - ETA: 0s - loss: 0.0453
147/241 [=================>............] - ETA: 0s - loss: 0.0458
182/241 [=====================>........] - ETA: 0s - loss: 0.0400
218/241 [==========================>...] - ETA: 0s - loss: 0.0380
241/241 [==============================] - 0s 1ms/step - loss: 0.0374
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0066
 36/241 [===>..........................] - ETA: 0s - loss: 0.0382
 69/241 [=======>......................] - ETA: 0s - loss: 0.0259
106/241 [============>.................] - ETA: 0s - loss: 0.0233
144/241 [================>.............] - ETA: 0s - loss: 0.0266
176/241 [====================>.........] - ETA: 0s - loss: 0.0316
210/241 [=========================>....] - ETA: 0s - loss: 0.0357
241/241 [==============================] - 0s 1ms/step - loss: 0.0354
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0023
 37/241 [===>..........................] - ETA: 0s - loss: 0.0316
 72/241 [=======>......................] - ETA: 0s - loss: 0.0304
108/241 [============>.................] - ETA: 0s - loss: 0.0295
143/241 [================>.............] - ETA: 0s - loss: 0.0264
176/241 [====================>.........] - ETA: 0s - loss: 0.0293
211/241 [=========================>....] - ETA: 0s - loss: 0.0313
241/241 [==============================] - 0s 1ms/step - loss: 0.0305
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0096
 41/241 [====>.........................] - ETA: 0s - loss: 0.0210
 80/241 [========>.....................] - ETA: 0s - loss: 0.0207
115/241 [=============>................] - ETA: 0s - loss: 0.0236
151/241 [=================>............] - ETA: 0s - loss: 0.0266
186/241 [======================>.......] - ETA: 0s - loss: 0.0292
221/241 [==========================>...] - ETA: 0s - loss: 0.0282
241/241 [==============================] - 0s 1ms/step - loss: 0.0289
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0024
 38/241 [===>..........................] - ETA: 0s - loss: 0.0204
 74/241 [========>.....................] - ETA: 0s - loss: 0.0245
110/241 [============>.................] - ETA: 0s - loss: 0.0222
144/241 [================>.............] - ETA: 0s - loss: 0.0253
177/241 [=====================>........] - ETA: 0s - loss: 0.0267
214/241 [=========================>....] - ETA: 0s - loss: 0.0303
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0022
 30/241 [==>...........................] - ETA: 0s - loss: 0.0225
 59/241 [======>.......................] - ETA: 0s - loss: 0.0223
 93/241 [==========>...................] - ETA: 0s - loss: 0.0257
128/241 [==============>...............] - ETA: 0s - loss: 0.0252
165/241 [===================>..........] - ETA: 0s - loss: 0.0252
201/241 [========================>.....] - ETA: 0s - loss: 0.0269
237/241 [============================>.] - ETA: 0s - loss: 0.0248
241/241 [==============================] - 0s 2ms/step - loss: 0.0254
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0357
 42/241 [====>.........................] - ETA: 0s - loss: 0.0162
 81/241 [=========>....................] - ETA: 0s - loss: 0.0209
116/241 [=============>................] - ETA: 0s - loss: 0.0208
152/241 [=================>............] - ETA: 0s - loss: 0.0204
187/241 [======================>.......] - ETA: 0s - loss: 0.0226
221/241 [==========================>...] - ETA: 0s - loss: 0.0232
241/241 [==============================] - 0s 1ms/step - loss: 0.0233
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0061
 35/241 [===>..........................] - ETA: 0s - loss: 0.0316
 71/241 [=======>......................] - ETA: 0s - loss: 0.0326
106/241 [============>.................] - ETA: 0s - loss: 0.0286
142/241 [================>.............] - ETA: 0s - loss: 0.0285
175/241 [====================>.........] - ETA: 0s - loss: 0.0256
209/241 [=========================>....] - ETA: 0s - loss: 0.0256
241/241 [==============================] - 0s 1ms/step - loss: 0.0249
-> 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: 527, 76
LR fn, tp: 5, 26
LR f1 score: 0.391
LR cohens kappa score: 0.342
LR average precision score: 0.400

-> test with 'RF'
RF tn, fp: 601, 2
RF fn, tp: 14, 17
RF f1 score: 0.680
RF cohens kappa score: 0.668

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

-> test with 'KNN'
KNN tn, fp: 590, 13
KNN fn, tp: 10, 21
KNN f1 score: 0.646
KNN cohens kappa score: 0.627


------ 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: 41s - loss: 1.5249e-05
 41/242 [====>.........................] - ETA: 0s - loss: 0.2763     
 80/242 [========>.....................] - ETA: 0s - loss: 0.2187
119/242 [=============>................] - ETA: 0s - loss: 0.1679
160/242 [==================>...........] - ETA: 0s - loss: 0.1571
200/242 [=======================>......] - ETA: 0s - loss: 0.1415
240/242 [============================>.] - ETA: 0s - loss: 0.1295
242/242 [==============================] - 0s 1ms/step - loss: 0.1291
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0517
 43/242 [====>.........................] - ETA: 0s - loss: 0.0561
 84/242 [=========>....................] - ETA: 0s - loss: 0.0507
123/242 [==============>...............] - ETA: 0s - loss: 0.0526
162/242 [===================>..........] - ETA: 0s - loss: 0.0566
203/242 [========================>.....] - ETA: 0s - loss: 0.0572
242/242 [==============================] - 0s 1ms/step - loss: 0.0553
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 7.7498e-04
 41/242 [====>.........................] - ETA: 0s - loss: 0.0409    
 79/242 [========>.....................] - ETA: 0s - loss: 0.0450
117/242 [=============>................] - ETA: 0s - loss: 0.0412
155/242 [==================>...........] - ETA: 0s - loss: 0.0453
193/242 [======================>.......] - ETA: 0s - loss: 0.0480
229/242 [===========================>..] - ETA: 0s - loss: 0.0469
242/242 [==============================] - 0s 1ms/step - loss: 0.0471
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 8.0211e-04
 40/242 [===>..........................] - ETA: 0s - loss: 0.0509    
 80/242 [========>.....................] - ETA: 0s - loss: 0.0579
120/242 [=============>................] - ETA: 0s - loss: 0.0476
159/242 [==================>...........] - ETA: 0s - loss: 0.0465
199/242 [=======================>......] - ETA: 0s - loss: 0.0433
239/242 [============================>.] - ETA: 0s - loss: 0.0443
242/242 [==============================] - 0s 1ms/step - loss: 0.0443
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.0073
 40/242 [===>..........................] - ETA: 0s - loss: 0.0264
 79/242 [========>.....................] - ETA: 0s - loss: 0.0351
118/242 [=============>................] - ETA: 0s - loss: 0.0370
157/242 [==================>...........] - ETA: 0s - loss: 0.0360
191/242 [======================>.......] - ETA: 0s - loss: 0.0402
223/242 [==========================>...] - ETA: 0s - loss: 0.0388
242/242 [==============================] - 0s 1ms/step - loss: 0.0380
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 6.1440e-04
 35/242 [===>..........................] - ETA: 0s - loss: 0.0357    
 74/242 [========>.....................] - ETA: 0s - loss: 0.0345
112/242 [============>.................] - ETA: 0s - loss: 0.0384
152/242 [=================>............] - ETA: 0s - loss: 0.0387
193/242 [======================>.......] - ETA: 0s - loss: 0.0392
233/242 [===========================>..] - ETA: 0s - loss: 0.0386
242/242 [==============================] - 0s 1ms/step - loss: 0.0375
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.0291
 40/242 [===>..........................] - ETA: 0s - loss: 0.0228
 79/242 [========>.....................] - ETA: 0s - loss: 0.0234
117/242 [=============>................] - ETA: 0s - loss: 0.0254
156/242 [==================>...........] - ETA: 0s - loss: 0.0323
197/242 [=======================>......] - ETA: 0s - loss: 0.0331
236/242 [============================>.] - ETA: 0s - loss: 0.0329
242/242 [==============================] - 0s 1ms/step - loss: 0.0324
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0725
 39/242 [===>..........................] - ETA: 0s - loss: 0.0421
 80/242 [========>.....................] - ETA: 0s - loss: 0.0340
120/242 [=============>................] - ETA: 0s - loss: 0.0290
159/242 [==================>...........] - ETA: 0s - loss: 0.0320
198/242 [=======================>......] - ETA: 0s - loss: 0.0341
235/242 [============================>.] - ETA: 0s - loss: 0.0315
242/242 [==============================] - 0s 1ms/step - loss: 0.0312
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.1700
 41/242 [====>.........................] - ETA: 0s - loss: 0.0362
 81/242 [=========>....................] - ETA: 0s - loss: 0.0314
120/242 [=============>................] - ETA: 0s - loss: 0.0248
160/242 [==================>...........] - ETA: 0s - loss: 0.0272
201/242 [=======================>......] - ETA: 0s - loss: 0.0307
239/242 [============================>.] - ETA: 0s - loss: 0.0328
242/242 [==============================] - 0s 1ms/step - loss: 0.0325
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0049
 41/242 [====>.........................] - ETA: 0s - loss: 0.0385
 81/242 [=========>....................] - ETA: 0s - loss: 0.0327
120/242 [=============>................] - ETA: 0s - loss: 0.0325
160/242 [==================>...........] - ETA: 0s - loss: 0.0298
200/242 [=======================>......] - ETA: 0s - loss: 0.0294
238/242 [============================>.] - ETA: 0s - loss: 0.0302
242/242 [==============================] - 0s 1ms/step - loss: 0.0302
-> test with GAN.predict
GAN tn, fp: 586, 14
GAN fn, tp: 6, 21
GAN f1 score: 0.677
GAN cohens kappa score: 0.661

-> test with 'LR'
LR tn, fp: 543, 57
LR fn, tp: 3, 24
LR f1 score: 0.444
LR cohens kappa score: 0.406
LR average precision score: 0.561

-> 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: 594, 6
GB fn, tp: 3, 24
GB f1 score: 0.842
GB cohens kappa score: 0.835

-> test with 'KNN'
KNN tn, fp: 584, 16
KNN fn, tp: 6, 21
KNN f1 score: 0.656
KNN cohens kappa score: 0.638


====== 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: 47s - loss: 0.8602
 36/241 [===>..........................] - ETA: 0s - loss: 0.3342 
 77/241 [========>.....................] - ETA: 0s - loss: 0.2390
118/241 [=============>................] - ETA: 0s - loss: 0.1836
154/241 [==================>...........] - ETA: 0s - loss: 0.1755
192/241 [======================>.......] - ETA: 0s - loss: 0.1537
224/241 [==========================>...] - ETA: 0s - loss: 0.1380
241/241 [==============================] - 1s 1ms/step - loss: 0.1311
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.7600
 36/241 [===>..........................] - ETA: 0s - loss: 0.0740
 71/241 [=======>......................] - ETA: 0s - loss: 0.0688
108/241 [============>.................] - ETA: 0s - loss: 0.0581
140/241 [================>.............] - ETA: 0s - loss: 0.0579
173/241 [====================>.........] - ETA: 0s - loss: 0.0534
205/241 [========================>.....] - ETA: 0s - loss: 0.0523
239/241 [============================>.] - ETA: 0s - loss: 0.0504
241/241 [==============================] - 0s 1ms/step - loss: 0.0521
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 5.9779e-04
 36/241 [===>..........................] - ETA: 0s - loss: 0.0465    
 73/241 [========>.....................] - ETA: 0s - loss: 0.0400
111/241 [============>.................] - ETA: 0s - loss: 0.0466
144/241 [================>.............] - ETA: 0s - loss: 0.0401
179/241 [=====================>........] - ETA: 0s - loss: 0.0395
212/241 [=========================>....] - ETA: 0s - loss: 0.0383
241/241 [==============================] - 0s 1ms/step - loss: 0.0387
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0016
 33/241 [===>..........................] - ETA: 0s - loss: 0.0305
 63/241 [======>.......................] - ETA: 0s - loss: 0.0505
 94/241 [==========>...................] - ETA: 0s - loss: 0.0433
125/241 [==============>...............] - ETA: 0s - loss: 0.0436
159/241 [==================>...........] - ETA: 0s - loss: 0.0405
192/241 [======================>.......] - ETA: 0s - loss: 0.0376
223/241 [==========================>...] - ETA: 0s - loss: 0.0387
241/241 [==============================] - 0s 2ms/step - loss: 0.0376
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 6.4327e-05
 34/241 [===>..........................] - ETA: 0s - loss: 0.0828    
 66/241 [=======>......................] - ETA: 0s - loss: 0.0574
100/241 [===========>..................] - ETA: 0s - loss: 0.0481
134/241 [===============>..............] - ETA: 0s - loss: 0.0463
168/241 [===================>..........] - ETA: 0s - loss: 0.0436
203/241 [========================>.....] - ETA: 0s - loss: 0.0404
241/241 [==============================] - ETA: 0s - loss: 0.0383
241/241 [==============================] - 0s 1ms/step - loss: 0.0383
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0320
 38/241 [===>..........................] - ETA: 0s - loss: 0.0139
 76/241 [========>.....................] - ETA: 0s - loss: 0.0326
111/241 [============>.................] - ETA: 0s - loss: 0.0317
146/241 [=================>............] - ETA: 0s - loss: 0.0328
179/241 [=====================>........] - ETA: 0s - loss: 0.0317
209/241 [=========================>....] - ETA: 0s - loss: 0.0301
240/241 [============================>.] - ETA: 0s - loss: 0.0316
241/241 [==============================] - 0s 1ms/step - loss: 0.0315
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0214
 33/241 [===>..........................] - ETA: 0s - loss: 0.0151
 69/241 [=======>......................] - ETA: 0s - loss: 0.0208
105/241 [============>.................] - ETA: 0s - loss: 0.0204
142/241 [================>.............] - ETA: 0s - loss: 0.0219
177/241 [=====================>........] - ETA: 0s - loss: 0.0252
211/241 [=========================>....] - ETA: 0s - loss: 0.0259
241/241 [==============================] - 0s 1ms/step - loss: 0.0261
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0452
 30/241 [==>...........................] - ETA: 0s - loss: 0.0125
 63/241 [======>.......................] - ETA: 0s - loss: 0.0162
 99/241 [===========>..................] - ETA: 0s - loss: 0.0203
134/241 [===============>..............] - ETA: 0s - loss: 0.0230
168/241 [===================>..........] - ETA: 0s - loss: 0.0268
204/241 [========================>.....] - ETA: 0s - loss: 0.0250
238/241 [============================>.] - ETA: 0s - loss: 0.0239
241/241 [==============================] - 0s 1ms/step - loss: 0.0240
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0086
 36/241 [===>..........................] - ETA: 0s - loss: 0.0085
 72/241 [=======>......................] - ETA: 0s - loss: 0.0098
107/241 [============>.................] - ETA: 0s - loss: 0.0127
141/241 [================>.............] - ETA: 0s - loss: 0.0184
177/241 [=====================>........] - ETA: 0s - loss: 0.0202
213/241 [=========================>....] - ETA: 0s - loss: 0.0206
241/241 [==============================] - 0s 1ms/step - loss: 0.0214
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1223
 37/241 [===>..........................] - ETA: 0s - loss: 0.0301
 59/241 [======>.......................] - ETA: 0s - loss: 0.0259
 76/241 [========>.....................] - ETA: 0s - loss: 0.0245
 94/241 [==========>...................] - ETA: 0s - loss: 0.0235
111/241 [============>.................] - ETA: 0s - loss: 0.0212
134/241 [===============>..............] - ETA: 0s - loss: 0.0202
160/241 [==================>...........] - ETA: 0s - loss: 0.0184
188/241 [======================>.......] - ETA: 0s - loss: 0.0202
219/241 [==========================>...] - ETA: 0s - loss: 0.0198
241/241 [==============================] - 0s 2ms/step - loss: 0.0198
-> test with GAN.predict
GAN tn, fp: 600, 3
GAN fn, tp: 15, 16
GAN f1 score: 0.640
GAN cohens kappa score: 0.626

-> test with 'LR'
LR tn, fp: 561, 42
LR fn, tp: 10, 21
LR f1 score: 0.447
LR cohens kappa score: 0.408
LR average precision score: 0.526

-> test with 'RF'
RF tn, fp: 598, 5
RF fn, tp: 10, 21
RF f1 score: 0.737
RF cohens kappa score: 0.725

-> test with 'GB'
GB tn, fp: 596, 7
GB fn, tp: 11, 20
GB f1 score: 0.690
GB cohens kappa score: 0.675

-> test with 'KNN'
KNN tn, fp: 598, 5
KNN fn, tp: 21, 10
KNN f1 score: 0.435
KNN cohens kappa score: 0.416


------ 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: 1:00 - loss: 0.8674
 31/241 [==>...........................] - ETA: 0s - loss: 0.3188  
 59/241 [======>.......................] - ETA: 0s - loss: 0.2022
 83/241 [=========>....................] - ETA: 0s - loss: 0.1803
109/241 [============>.................] - ETA: 0s - loss: 0.1922
140/241 [================>.............] - ETA: 0s - loss: 0.1769
171/241 [====================>.........] - ETA: 0s - loss: 0.1672
201/241 [========================>.....] - ETA: 0s - loss: 0.1529
230/241 [===========================>..] - ETA: 0s - loss: 0.1428
241/241 [==============================] - 1s 2ms/step - loss: 0.1401
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 2.8402e-04
 32/241 [==>...........................] - ETA: 0s - loss: 0.0357    
 63/241 [======>.......................] - ETA: 0s - loss: 0.0428
 92/241 [==========>...................] - ETA: 0s - loss: 0.0468
124/241 [==============>...............] - ETA: 0s - loss: 0.0461
154/241 [==================>...........] - ETA: 0s - loss: 0.0502
184/241 [=====================>........] - ETA: 0s - loss: 0.0534
215/241 [=========================>....] - ETA: 0s - loss: 0.0535
241/241 [==============================] - 0s 2ms/step - loss: 0.0534
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0029
 30/241 [==>...........................] - ETA: 0s - loss: 0.0536
 59/241 [======>.......................] - ETA: 0s - loss: 0.0443
 87/241 [=========>....................] - ETA: 0s - loss: 0.0504
116/241 [=============>................] - ETA: 0s - loss: 0.0491
143/241 [================>.............] - ETA: 0s - loss: 0.0472
174/241 [====================>.........] - ETA: 0s - loss: 0.0438
204/241 [========================>.....] - ETA: 0s - loss: 0.0442
234/241 [============================>.] - ETA: 0s - loss: 0.0455
241/241 [==============================] - 0s 2ms/step - loss: 0.0446
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0165
 31/241 [==>...........................] - ETA: 0s - loss: 0.0315
 60/241 [======>.......................] - ETA: 0s - loss: 0.0331
 87/241 [=========>....................] - ETA: 0s - loss: 0.0319
115/241 [=============>................] - ETA: 0s - loss: 0.0356
137/241 [================>.............] - ETA: 0s - loss: 0.0346
163/241 [===================>..........] - ETA: 0s - loss: 0.0367
191/241 [======================>.......] - ETA: 0s - loss: 0.0364
219/241 [==========================>...] - ETA: 0s - loss: 0.0375
241/241 [==============================] - 0s 2ms/step - loss: 0.0384
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0018
 31/241 [==>...........................] - ETA: 0s - loss: 0.0321
 59/241 [======>.......................] - ETA: 0s - loss: 0.0344
 87/241 [=========>....................] - ETA: 0s - loss: 0.0379
114/241 [=============>................] - ETA: 0s - loss: 0.0375
143/241 [================>.............] - ETA: 0s - loss: 0.0390
172/241 [====================>.........] - ETA: 0s - loss: 0.0375
201/241 [========================>.....] - ETA: 0s - loss: 0.0362
229/241 [===========================>..] - ETA: 0s - loss: 0.0343
241/241 [==============================] - 0s 2ms/step - loss: 0.0335
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0026
 28/241 [==>...........................] - ETA: 0s - loss: 0.0342
 57/241 [======>.......................] - ETA: 0s - loss: 0.0316
 86/241 [=========>....................] - ETA: 0s - loss: 0.0317
116/241 [=============>................] - ETA: 0s - loss: 0.0290
147/241 [=================>............] - ETA: 0s - loss: 0.0290
174/241 [====================>.........] - ETA: 0s - loss: 0.0297
201/241 [========================>.....] - ETA: 0s - loss: 0.0311
228/241 [===========================>..] - ETA: 0s - loss: 0.0326
241/241 [==============================] - 0s 2ms/step - loss: 0.0317
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0012
 28/241 [==>...........................] - ETA: 0s - loss: 0.0137
 56/241 [=====>........................] - ETA: 0s - loss: 0.0191
 84/241 [=========>....................] - ETA: 0s - loss: 0.0164
112/241 [============>.................] - ETA: 0s - loss: 0.0203
140/241 [================>.............] - ETA: 0s - loss: 0.0244
169/241 [====================>.........] - ETA: 0s - loss: 0.0252
196/241 [=======================>......] - ETA: 0s - loss: 0.0266
223/241 [==========================>...] - ETA: 0s - loss: 0.0273
241/241 [==============================] - 0s 2ms/step - loss: 0.0281
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0413
 31/241 [==>...........................] - ETA: 0s - loss: 0.0239
 61/241 [======>.......................] - ETA: 0s - loss: 0.0204
 91/241 [==========>...................] - ETA: 0s - loss: 0.0212
120/241 [=============>................] - ETA: 0s - loss: 0.0205
153/241 [==================>...........] - ETA: 0s - loss: 0.0217
182/241 [=====================>........] - ETA: 0s - loss: 0.0267
212/241 [=========================>....] - ETA: 0s - loss: 0.0268
241/241 [==============================] - ETA: 0s - loss: 0.0276
241/241 [==============================] - 0s 2ms/step - loss: 0.0276
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0237
 32/241 [==>...........................] - ETA: 0s - loss: 0.0154
 60/241 [======>.......................] - ETA: 0s - loss: 0.0221
 90/241 [==========>...................] - ETA: 0s - loss: 0.0258
120/241 [=============>................] - ETA: 0s - loss: 0.0236
148/241 [=================>............] - ETA: 0s - loss: 0.0268
174/241 [====================>.........] - ETA: 0s - loss: 0.0283
206/241 [========================>.....] - ETA: 0s - loss: 0.0296
237/241 [============================>.] - ETA: 0s - loss: 0.0291
241/241 [==============================] - 0s 2ms/step - loss: 0.0291
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0027
 26/241 [==>...........................] - ETA: 0s - loss: 0.0141
 53/241 [=====>........................] - ETA: 0s - loss: 0.0228
 80/241 [========>.....................] - ETA: 0s - loss: 0.0272
108/241 [============>.................] - ETA: 0s - loss: 0.0291
138/241 [================>.............] - ETA: 0s - loss: 0.0294
169/241 [====================>.........] - ETA: 0s - loss: 0.0261
198/241 [=======================>......] - ETA: 0s - loss: 0.0297
226/241 [===========================>..] - ETA: 0s - loss: 0.0296
241/241 [==============================] - 0s 2ms/step - loss: 0.0296
-> test with GAN.predict
GAN tn, fp: 597, 6
GAN fn, tp: 10, 21
GAN f1 score: 0.724
GAN cohens kappa score: 0.711

-> test with 'LR'
LR tn, fp: 552, 51
LR fn, tp: 5, 26
LR f1 score: 0.481
LR cohens kappa score: 0.443
LR average precision score: 0.502

-> 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: 597, 6
GB fn, tp: 4, 27
GB f1 score: 0.844
GB cohens kappa score: 0.835

-> test with 'KNN'
KNN tn, fp: 594, 9
KNN fn, tp: 10, 21
KNN f1 score: 0.689
KNN cohens kappa score: 0.673


------ 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: 53s - loss: 8.7981e-05
 40/241 [===>..........................] - ETA: 0s - loss: 0.3122     
 80/241 [========>.....................] - ETA: 0s - loss: 0.2364
117/241 [=============>................] - ETA: 0s - loss: 0.1766
156/241 [==================>...........] - ETA: 0s - loss: 0.1637
190/241 [======================>.......] - ETA: 0s - loss: 0.1424
226/241 [===========================>..] - ETA: 0s - loss: 0.1360
241/241 [==============================] - 1s 1ms/step - loss: 0.1330
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.4785
 38/241 [===>..........................] - ETA: 0s - loss: 0.0599
 79/241 [========>.....................] - ETA: 0s - loss: 0.0552
119/241 [=============>................] - ETA: 0s - loss: 0.0464
150/241 [=================>............] - ETA: 0s - loss: 0.0502
185/241 [======================>.......] - ETA: 0s - loss: 0.0466
220/241 [==========================>...] - ETA: 0s - loss: 0.0479
241/241 [==============================] - 0s 1ms/step - loss: 0.0508
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0420
 34/241 [===>..........................] - ETA: 0s - loss: 0.0521
 70/241 [=======>......................] - ETA: 0s - loss: 0.0392
109/241 [============>.................] - ETA: 0s - loss: 0.0405
149/241 [=================>............] - ETA: 0s - loss: 0.0456
188/241 [======================>.......] - ETA: 0s - loss: 0.0426
228/241 [===========================>..] - ETA: 0s - loss: 0.0404
241/241 [==============================] - 0s 1ms/step - loss: 0.0419
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0050
 42/241 [====>.........................] - ETA: 0s - loss: 0.0222
 80/241 [========>.....................] - ETA: 0s - loss: 0.0294
118/241 [=============>................] - ETA: 0s - loss: 0.0429
156/241 [==================>...........] - ETA: 0s - loss: 0.0431
189/241 [======================>.......] - ETA: 0s - loss: 0.0399
222/241 [==========================>...] - ETA: 0s - loss: 0.0389
241/241 [==============================] - 0s 1ms/step - loss: 0.0375
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0054
 40/241 [===>..........................] - ETA: 0s - loss: 0.0415
 78/241 [========>.....................] - ETA: 0s - loss: 0.0384
117/241 [=============>................] - ETA: 0s - loss: 0.0341
151/241 [=================>............] - ETA: 0s - loss: 0.0325
192/241 [======================>.......] - ETA: 0s - loss: 0.0349
232/241 [===========================>..] - ETA: 0s - loss: 0.0342
241/241 [==============================] - 0s 1ms/step - loss: 0.0332
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0040
 41/241 [====>.........................] - ETA: 0s - loss: 0.0357
 80/241 [========>.....................] - ETA: 0s - loss: 0.0310
117/241 [=============>................] - ETA: 0s - loss: 0.0271
156/241 [==================>...........] - ETA: 0s - loss: 0.0279
197/241 [=======================>......] - ETA: 0s - loss: 0.0300
239/241 [============================>.] - ETA: 0s - loss: 0.0303
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0053
 42/241 [====>.........................] - ETA: 0s - loss: 0.0161
 83/241 [=========>....................] - ETA: 0s - loss: 0.0219
121/241 [==============>...............] - ETA: 0s - loss: 0.0278
161/241 [===================>..........] - ETA: 0s - loss: 0.0282
200/241 [=======================>......] - ETA: 0s - loss: 0.0303
241/241 [==============================] - ETA: 0s - loss: 0.0302
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0632
 40/241 [===>..........................] - ETA: 0s - loss: 0.0319
 79/241 [========>.....................] - ETA: 0s - loss: 0.0287
119/241 [=============>................] - ETA: 0s - loss: 0.0241
159/241 [==================>...........] - ETA: 0s - loss: 0.0258
199/241 [=======================>......] - ETA: 0s - loss: 0.0232
238/241 [============================>.] - ETA: 0s - loss: 0.0277
241/241 [==============================] - 0s 1ms/step - loss: 0.0280
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.1779
 38/241 [===>..........................] - ETA: 0s - loss: 0.0303
 76/241 [========>.....................] - ETA: 0s - loss: 0.0256
116/241 [=============>................] - ETA: 0s - loss: 0.0263
153/241 [==================>...........] - ETA: 0s - loss: 0.0278
192/241 [======================>.......] - ETA: 0s - loss: 0.0278
231/241 [===========================>..] - ETA: 0s - loss: 0.0269
241/241 [==============================] - 0s 1ms/step - loss: 0.0263
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0047
 39/241 [===>..........................] - ETA: 0s - loss: 0.0180
 80/241 [========>.....................] - ETA: 0s - loss: 0.0219
118/241 [=============>................] - ETA: 0s - loss: 0.0176
157/241 [==================>...........] - ETA: 0s - loss: 0.0228
197/241 [=======================>......] - ETA: 0s - loss: 0.0280
235/241 [============================>.] - ETA: 0s - loss: 0.0263
241/241 [==============================] - 0s 1ms/step - loss: 0.0259
-> test with GAN.predict
GAN tn, fp: 594, 9
GAN fn, tp: 8, 23
GAN f1 score: 0.730
GAN cohens kappa score: 0.716

-> test with 'LR'
LR tn, fp: 551, 52
LR fn, tp: 6, 25
LR f1 score: 0.463
LR cohens kappa score: 0.423
LR average precision score: 0.549

-> test with 'RF'
RF tn, fp: 600, 3
RF fn, tp: 10, 21
RF f1 score: 0.764
RF cohens kappa score: 0.753

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

-> test with 'KNN'
KNN tn, fp: 596, 7
KNN fn, tp: 13, 18
KNN f1 score: 0.643
KNN cohens kappa score: 0.627


------ 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: 49s - loss: 0.1504
 39/241 [===>..........................] - ETA: 0s - loss: 0.3549 
 78/241 [========>.....................] - ETA: 0s - loss: 0.2554
117/241 [=============>................] - ETA: 0s - loss: 0.2047
156/241 [==================>...........] - ETA: 0s - loss: 0.1715
193/241 [=======================>......] - ETA: 0s - loss: 0.1483
231/241 [===========================>..] - ETA: 0s - loss: 0.1344
241/241 [==============================] - 1s 1ms/step - loss: 0.1307
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0138
 40/241 [===>..........................] - ETA: 0s - loss: 0.0551
 77/241 [========>.....................] - ETA: 0s - loss: 0.0625
115/241 [=============>................] - ETA: 0s - loss: 0.0550
154/241 [==================>...........] - ETA: 0s - loss: 0.0498
190/241 [======================>.......] - ETA: 0s - loss: 0.0475
229/241 [===========================>..] - ETA: 0s - loss: 0.0482
241/241 [==============================] - 0s 1ms/step - loss: 0.0473
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0014
 38/241 [===>..........................] - ETA: 0s - loss: 0.0153
 74/241 [========>.....................] - ETA: 0s - loss: 0.0349
114/241 [=============>................] - ETA: 0s - loss: 0.0383
153/241 [==================>...........] - ETA: 0s - loss: 0.0360
192/241 [======================>.......] - ETA: 0s - loss: 0.0343
232/241 [===========================>..] - ETA: 0s - loss: 0.0351
241/241 [==============================] - 0s 1ms/step - loss: 0.0346
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0161
 38/241 [===>..........................] - ETA: 0s - loss: 0.0191
 74/241 [========>.....................] - ETA: 0s - loss: 0.0255
108/241 [============>.................] - ETA: 0s - loss: 0.0279
141/241 [================>.............] - ETA: 0s - loss: 0.0310
180/241 [=====================>........] - ETA: 0s - loss: 0.0323
219/241 [==========================>...] - ETA: 0s - loss: 0.0337
241/241 [==============================] - 0s 1ms/step - loss: 0.0322
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.1923
 33/241 [===>..........................] - ETA: 0s - loss: 0.0308
 66/241 [=======>......................] - ETA: 0s - loss: 0.0328
104/241 [===========>..................] - ETA: 0s - loss: 0.0304
145/241 [=================>............] - ETA: 0s - loss: 0.0292
186/241 [======================>.......] - ETA: 0s - loss: 0.0301
225/241 [===========================>..] - ETA: 0s - loss: 0.0284
241/241 [==============================] - 0s 1ms/step - loss: 0.0284
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0729
 40/241 [===>..........................] - ETA: 0s - loss: 0.0289
 80/241 [========>.....................] - ETA: 0s - loss: 0.0263
120/241 [=============>................] - ETA: 0s - loss: 0.0265
159/241 [==================>...........] - ETA: 0s - loss: 0.0255
199/241 [=======================>......] - ETA: 0s - loss: 0.0273
236/241 [============================>.] - ETA: 0s - loss: 0.0254
241/241 [==============================] - 0s 1ms/step - loss: 0.0261
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0237
 39/241 [===>..........................] - ETA: 0s - loss: 0.0269
 77/241 [========>.....................] - ETA: 0s - loss: 0.0303
115/241 [=============>................] - ETA: 0s - loss: 0.0256
153/241 [==================>...........] - ETA: 0s - loss: 0.0255
192/241 [======================>.......] - ETA: 0s - loss: 0.0220
231/241 [===========================>..] - ETA: 0s - loss: 0.0242
241/241 [==============================] - 0s 1ms/step - loss: 0.0241
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0089
 38/241 [===>..........................] - ETA: 0s - loss: 0.0237
 78/241 [========>.....................] - ETA: 0s - loss: 0.0232
116/241 [=============>................] - ETA: 0s - loss: 0.0195
150/241 [=================>............] - ETA: 0s - loss: 0.0254
190/241 [======================>.......] - ETA: 0s - loss: 0.0229
228/241 [===========================>..] - ETA: 0s - loss: 0.0209
241/241 [==============================] - 0s 1ms/step - loss: 0.0216
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0037
 39/241 [===>..........................] - ETA: 0s - loss: 0.0143
 78/241 [========>.....................] - ETA: 0s - loss: 0.0147
117/241 [=============>................] - ETA: 0s - loss: 0.0157
154/241 [==================>...........] - ETA: 0s - loss: 0.0179
189/241 [======================>.......] - ETA: 0s - loss: 0.0178
231/241 [===========================>..] - ETA: 0s - loss: 0.0188
241/241 [==============================] - 0s 1ms/step - loss: 0.0205
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0318
 39/241 [===>..........................] - ETA: 0s - loss: 0.0131
 71/241 [=======>......................] - ETA: 0s - loss: 0.0144
100/241 [===========>..................] - ETA: 0s - loss: 0.0153
130/241 [===============>..............] - ETA: 0s - loss: 0.0147
169/241 [====================>.........] - ETA: 0s - loss: 0.0150
209/241 [=========================>....] - ETA: 0s - loss: 0.0154
241/241 [==============================] - 0s 1ms/step - loss: 0.0193
-> test with GAN.predict
GAN tn, fp: 588, 15
GAN fn, tp: 8, 23
GAN f1 score: 0.667
GAN cohens kappa score: 0.648

-> test with 'LR'
LR tn, fp: 531, 72
LR fn, tp: 7, 24
LR f1 score: 0.378
LR cohens kappa score: 0.328
LR average precision score: 0.324

-> 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: 597, 6
GB fn, tp: 6, 25
GB f1 score: 0.806
GB cohens kappa score: 0.797

-> test with 'KNN'
KNN tn, fp: 591, 12
KNN fn, tp: 10, 21
KNN f1 score: 0.656
KNN cohens kappa score: 0.638


------ 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: 1:09 - loss: 2.0773
 26/242 [==>...........................] - ETA: 0s - loss: 0.3251  
 58/242 [======>.......................] - ETA: 0s - loss: 0.2440
 88/242 [=========>....................] - ETA: 0s - loss: 0.2087
115/242 [=============>................] - ETA: 0s - loss: 0.1875
146/242 [=================>............] - ETA: 0s - loss: 0.1721
174/242 [====================>.........] - ETA: 0s - loss: 0.1608
201/242 [=======================>......] - ETA: 0s - loss: 0.1532
232/242 [===========================>..] - ETA: 0s - loss: 0.1486
242/242 [==============================] - 1s 2ms/step - loss: 0.1454
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0351
 33/242 [===>..........................] - ETA: 0s - loss: 0.0401
 57/242 [======>.......................] - ETA: 0s - loss: 0.0569
 87/242 [=========>....................] - ETA: 0s - loss: 0.0611
112/242 [============>.................] - ETA: 0s - loss: 0.0562
140/242 [================>.............] - ETA: 0s - loss: 0.0562
166/242 [===================>..........] - ETA: 0s - loss: 0.0562
192/242 [======================>.......] - ETA: 0s - loss: 0.0553
222/242 [==========================>...] - ETA: 0s - loss: 0.0568
242/242 [==============================] - 0s 2ms/step - loss: 0.0575
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.0195
 31/242 [==>...........................] - ETA: 0s - loss: 0.0555
 61/242 [======>.......................] - ETA: 0s - loss: 0.0466
 86/242 [=========>....................] - ETA: 0s - loss: 0.0475
117/242 [=============>................] - ETA: 0s - loss: 0.0506
146/242 [=================>............] - ETA: 0s - loss: 0.0456
172/242 [====================>.........] - ETA: 0s - loss: 0.0450
196/242 [=======================>......] - ETA: 0s - loss: 0.0433
221/242 [==========================>...] - ETA: 0s - loss: 0.0420
242/242 [==============================] - 0s 2ms/step - loss: 0.0427
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.0596
 27/242 [==>...........................] - ETA: 0s - loss: 0.0536
 56/242 [=====>........................] - ETA: 0s - loss: 0.0480
 87/242 [=========>....................] - ETA: 0s - loss: 0.0444
112/242 [============>.................] - ETA: 0s - loss: 0.0380
144/242 [================>.............] - ETA: 0s - loss: 0.0383
174/242 [====================>.........] - ETA: 0s - loss: 0.0390
196/242 [=======================>......] - ETA: 0s - loss: 0.0407
224/242 [==========================>...] - ETA: 0s - loss: 0.0373
242/242 [==============================] - 0s 2ms/step - loss: 0.0384
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.1818
 30/242 [==>...........................] - ETA: 0s - loss: 0.0455
 55/242 [=====>........................] - ETA: 0s - loss: 0.0443
 82/242 [=========>....................] - ETA: 0s - loss: 0.0382
111/242 [============>.................] - ETA: 0s - loss: 0.0332
134/242 [===============>..............] - ETA: 0s - loss: 0.0311
166/242 [===================>..........] - ETA: 0s - loss: 0.0327
195/242 [=======================>......] - ETA: 0s - loss: 0.0340
220/242 [==========================>...] - ETA: 0s - loss: 0.0333
242/242 [==============================] - 0s 2ms/step - loss: 0.0336
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0038
 26/242 [==>...........................] - ETA: 0s - loss: 0.0224
 58/242 [======>.......................] - ETA: 0s - loss: 0.0278
 87/242 [=========>....................] - ETA: 0s - loss: 0.0266
115/242 [=============>................] - ETA: 0s - loss: 0.0284
145/242 [================>.............] - ETA: 0s - loss: 0.0287
172/242 [====================>.........] - ETA: 0s - loss: 0.0324
199/242 [=======================>......] - ETA: 0s - loss: 0.0319
229/242 [===========================>..] - ETA: 0s - loss: 0.0329
242/242 [==============================] - 0s 2ms/step - loss: 0.0321
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.0036
 30/242 [==>...........................] - ETA: 0s - loss: 0.0252
 53/242 [=====>........................] - ETA: 0s - loss: 0.0296
 82/242 [=========>....................] - ETA: 0s - loss: 0.0259
106/242 [============>.................] - ETA: 0s - loss: 0.0248
135/242 [===============>..............] - ETA: 0s - loss: 0.0231
167/242 [===================>..........] - ETA: 0s - loss: 0.0232
193/242 [======================>.......] - ETA: 0s - loss: 0.0243
224/242 [==========================>...] - ETA: 0s - loss: 0.0266
242/242 [==============================] - 0s 2ms/step - loss: 0.0268
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0040
 28/242 [==>...........................] - ETA: 0s - loss: 0.0468
 58/242 [======>.......................] - ETA: 0s - loss: 0.0364
 83/242 [=========>....................] - ETA: 0s - loss: 0.0347
115/242 [=============>................] - ETA: 0s - loss: 0.0307
144/242 [================>.............] - ETA: 0s - loss: 0.0291
171/242 [====================>.........] - ETA: 0s - loss: 0.0260
201/242 [=======================>......] - ETA: 0s - loss: 0.0260
228/242 [===========================>..] - ETA: 0s - loss: 0.0269
242/242 [==============================] - 0s 2ms/step - loss: 0.0273
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0111
 23/242 [=>............................] - ETA: 0s - loss: 0.0274
 53/242 [=====>........................] - ETA: 0s - loss: 0.0195
 85/242 [=========>....................] - ETA: 0s - loss: 0.0251
109/242 [============>.................] - ETA: 0s - loss: 0.0240
141/242 [================>.............] - ETA: 0s - loss: 0.0247
170/242 [====================>.........] - ETA: 0s - loss: 0.0237
199/242 [=======================>......] - ETA: 0s - loss: 0.0242
229/242 [===========================>..] - ETA: 0s - loss: 0.0244
242/242 [==============================] - 0s 2ms/step - loss: 0.0248
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0109
 32/242 [==>...........................] - ETA: 0s - loss: 0.0208
 56/242 [=====>........................] - ETA: 0s - loss: 0.0240
 84/242 [=========>....................] - ETA: 0s - loss: 0.0246
114/242 [=============>................] - ETA: 0s - loss: 0.0248
140/242 [================>.............] - ETA: 0s - loss: 0.0265
173/242 [====================>.........] - ETA: 0s - loss: 0.0243
200/242 [=======================>......] - ETA: 0s - loss: 0.0229
228/242 [===========================>..] - ETA: 0s - loss: 0.0246
242/242 [==============================] - 0s 2ms/step - loss: 0.0258
-> test with GAN.predict
GAN tn, fp: 588, 12
GAN fn, tp: 2, 25
GAN f1 score: 0.781
GAN cohens kappa score: 0.770

-> test with 'LR'
LR tn, fp: 523, 77
LR fn, tp: 1, 26
LR f1 score: 0.400
LR cohens kappa score: 0.356
LR average precision score: 0.508

-> test with 'RF'
RF tn, fp: 597, 3
RF fn, tp: 4, 23
RF f1 score: 0.868
RF cohens kappa score: 0.862

-> test with 'GB'
GB tn, fp: 595, 5
GB fn, tp: 3, 24
GB f1 score: 0.857
GB cohens kappa score: 0.850

-> test with 'KNN'
KNN tn, fp: 591, 9
KNN fn, tp: 10, 17
KNN f1 score: 0.642
KNN cohens kappa score: 0.626


====== 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: 1:10 - loss: 1.2044
 29/241 [==>...........................] - ETA: 0s - loss: 0.4456  
 60/241 [======>.......................] - ETA: 0s - loss: 0.2999
 86/241 [=========>....................] - ETA: 0s - loss: 0.2402
118/241 [=============>................] - ETA: 0s - loss: 0.2204
148/241 [=================>............] - ETA: 0s - loss: 0.1845
173/241 [====================>.........] - ETA: 0s - loss: 0.1664
205/241 [========================>.....] - ETA: 0s - loss: 0.1554
231/241 [===========================>..] - ETA: 0s - loss: 0.1435
241/241 [==============================] - 1s 2ms/step - loss: 0.1401
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0769
 27/241 [==>...........................] - ETA: 0s - loss: 0.0306
 61/241 [======>.......................] - ETA: 0s - loss: 0.0427
 87/241 [=========>....................] - ETA: 0s - loss: 0.0411
119/241 [=============>................] - ETA: 0s - loss: 0.0512
146/241 [=================>............] - ETA: 0s - loss: 0.0502
176/241 [====================>.........] - ETA: 0s - loss: 0.0536
207/241 [========================>.....] - ETA: 0s - loss: 0.0501
230/241 [===========================>..] - ETA: 0s - loss: 0.0498
241/241 [==============================] - 0s 2ms/step - loss: 0.0492
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0132
 30/241 [==>...........................] - ETA: 0s - loss: 0.0610
 56/241 [=====>........................] - ETA: 0s - loss: 0.0441
 84/241 [=========>....................] - ETA: 0s - loss: 0.0453
115/241 [=============>................] - ETA: 0s - loss: 0.0383
141/241 [================>.............] - ETA: 0s - loss: 0.0368
172/241 [====================>.........] - ETA: 0s - loss: 0.0371
202/241 [========================>.....] - ETA: 0s - loss: 0.0362
230/241 [===========================>..] - ETA: 0s - loss: 0.0349
241/241 [==============================] - 0s 2ms/step - loss: 0.0367
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0310
 29/241 [==>...........................] - ETA: 0s - loss: 0.0509
 61/241 [======>.......................] - ETA: 0s - loss: 0.0390
 89/241 [==========>...................] - ETA: 0s - loss: 0.0389
121/241 [==============>...............] - ETA: 0s - loss: 0.0352
146/241 [=================>............] - ETA: 0s - loss: 0.0306
177/241 [=====================>........] - ETA: 0s - loss: 0.0323
201/241 [========================>.....] - ETA: 0s - loss: 0.0304
230/241 [===========================>..] - ETA: 0s - loss: 0.0287
241/241 [==============================] - 0s 2ms/step - loss: 0.0309
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0828
 32/241 [==>...........................] - ETA: 0s - loss: 0.0230
 61/241 [======>.......................] - ETA: 0s - loss: 0.0329
 87/241 [=========>....................] - ETA: 0s - loss: 0.0315
119/241 [=============>................] - ETA: 0s - loss: 0.0299
145/241 [=================>............] - ETA: 0s - loss: 0.0319
172/241 [====================>.........] - ETA: 0s - loss: 0.0301
196/241 [=======================>......] - ETA: 0s - loss: 0.0285
221/241 [==========================>...] - ETA: 0s - loss: 0.0299
241/241 [==============================] - 0s 2ms/step - loss: 0.0291
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 3.6047e-04
 29/241 [==>...........................] - ETA: 0s - loss: 0.0329    
 60/241 [======>.......................] - ETA: 0s - loss: 0.0256
 85/241 [=========>....................] - ETA: 0s - loss: 0.0235
121/241 [==============>...............] - ETA: 0s - loss: 0.0278
146/241 [=================>............] - ETA: 0s - loss: 0.0266
176/241 [====================>.........] - ETA: 0s - loss: 0.0273
207/241 [========================>.....] - ETA: 0s - loss: 0.0271
233/241 [============================>.] - ETA: 0s - loss: 0.0262
241/241 [==============================] - 0s 2ms/step - loss: 0.0261
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0016
 30/241 [==>...........................] - ETA: 0s - loss: 0.0330
 61/241 [======>.......................] - ETA: 0s - loss: 0.0255
 84/241 [=========>....................] - ETA: 0s - loss: 0.0257
117/241 [=============>................] - ETA: 0s - loss: 0.0272
143/241 [================>.............] - ETA: 0s - loss: 0.0247
171/241 [====================>.........] - ETA: 0s - loss: 0.0258
202/241 [========================>.....] - ETA: 0s - loss: 0.0261
227/241 [===========================>..] - ETA: 0s - loss: 0.0253
241/241 [==============================] - 0s 2ms/step - loss: 0.0281
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1385
 28/241 [==>...........................] - ETA: 0s - loss: 0.0243
 58/241 [======>.......................] - ETA: 0s - loss: 0.0176
 85/241 [=========>....................] - ETA: 0s - loss: 0.0202
119/241 [=============>................] - ETA: 0s - loss: 0.0241
146/241 [=================>............] - ETA: 0s - loss: 0.0237
175/241 [====================>.........] - ETA: 0s - loss: 0.0232
208/241 [========================>.....] - ETA: 0s - loss: 0.0222
231/241 [===========================>..] - ETA: 0s - loss: 0.0217
241/241 [==============================] - 0s 2ms/step - loss: 0.0227
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0036
 30/241 [==>...........................] - ETA: 0s - loss: 0.0083
 63/241 [======>.......................] - ETA: 0s - loss: 0.0215
 89/241 [==========>...................] - ETA: 0s - loss: 0.0231
121/241 [==============>...............] - ETA: 0s - loss: 0.0219
150/241 [=================>............] - ETA: 0s - loss: 0.0244
175/241 [====================>.........] - ETA: 0s - loss: 0.0244
206/241 [========================>.....] - ETA: 0s - loss: 0.0230
229/241 [===========================>..] - ETA: 0s - loss: 0.0230
241/241 [==============================] - 0s 2ms/step - loss: 0.0235
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0042
 31/241 [==>...........................] - ETA: 0s - loss: 0.0103
 61/241 [======>.......................] - ETA: 0s - loss: 0.0109
 86/241 [=========>....................] - ETA: 0s - loss: 0.0112
119/241 [=============>................] - ETA: 0s - loss: 0.0170
144/241 [================>.............] - ETA: 0s - loss: 0.0173
172/241 [====================>.........] - ETA: 0s - loss: 0.0182
197/241 [=======================>......] - ETA: 0s - loss: 0.0196
221/241 [==========================>...] - ETA: 0s - loss: 0.0190
241/241 [==============================] - 0s 2ms/step - loss: 0.0200
-> test with GAN.predict
GAN tn, fp: 598, 5
GAN fn, tp: 12, 19
GAN f1 score: 0.691
GAN cohens kappa score: 0.677

-> 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: 0.513

-> test with 'RF'
RF tn, fp: 601, 2
RF fn, tp: 10, 21
RF f1 score: 0.778
RF cohens kappa score: 0.768

-> test with 'GB'
GB tn, fp: 603, 0
GB fn, tp: 6, 25
GB f1 score: 0.893
GB cohens kappa score: 0.888

-> test with 'KNN'
KNN tn, fp: 596, 7
KNN fn, tp: 11, 20
KNN f1 score: 0.690
KNN cohens kappa score: 0.675


------ 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: 53s - loss: 0.0011
 36/241 [===>..........................] - ETA: 0s - loss: 0.2612 
 71/241 [=======>......................] - ETA: 0s - loss: 0.2060
 99/241 [===========>..................] - ETA: 0s - loss: 0.2047
123/241 [==============>...............] - ETA: 0s - loss: 0.2051
148/241 [=================>............] - ETA: 0s - loss: 0.1913
176/241 [====================>.........] - ETA: 0s - loss: 0.1715
199/241 [=======================>......] - ETA: 0s - loss: 0.1575
220/241 [==========================>...] - ETA: 0s - loss: 0.1495
240/241 [============================>.] - ETA: 0s - loss: 0.1431
241/241 [==============================] - 1s 2ms/step - loss: 0.1426
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0548
 25/241 [==>...........................] - ETA: 0s - loss: 0.0945
 48/241 [====>.........................] - ETA: 0s - loss: 0.0740
 73/241 [========>.....................] - ETA: 0s - loss: 0.0628
103/241 [===========>..................] - ETA: 0s - loss: 0.0515
135/241 [===============>..............] - ETA: 0s - loss: 0.0551
164/241 [===================>..........] - ETA: 0s - loss: 0.0618
193/241 [=======================>......] - ETA: 0s - loss: 0.0609
222/241 [==========================>...] - ETA: 0s - loss: 0.0574
241/241 [==============================] - 0s 2ms/step - loss: 0.0566
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 4.1944e-04
 35/241 [===>..........................] - ETA: 0s - loss: 0.0397    
 62/241 [======>.......................] - ETA: 0s - loss: 0.0335
 86/241 [=========>....................] - ETA: 0s - loss: 0.0344
115/241 [=============>................] - ETA: 0s - loss: 0.0398
144/241 [================>.............] - ETA: 0s - loss: 0.0388
170/241 [====================>.........] - ETA: 0s - loss: 0.0429
199/241 [=======================>......] - ETA: 0s - loss: 0.0406
226/241 [===========================>..] - ETA: 0s - loss: 0.0439
241/241 [==============================] - 0s 2ms/step - loss: 0.0449
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 4.8671e-04
 29/241 [==>...........................] - ETA: 0s - loss: 0.0389    
 61/241 [======>.......................] - ETA: 0s - loss: 0.0400
 93/241 [==========>...................] - ETA: 0s - loss: 0.0349
123/241 [==============>...............] - ETA: 0s - loss: 0.0296
152/241 [=================>............] - ETA: 0s - loss: 0.0344
183/241 [=====================>........] - ETA: 0s - loss: 0.0346
214/241 [=========================>....] - ETA: 0s - loss: 0.0352
236/241 [============================>.] - ETA: 0s - loss: 0.0374
241/241 [==============================] - 0s 2ms/step - loss: 0.0372
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0621
 24/241 [=>............................] - ETA: 0s - loss: 0.0245
 47/241 [====>.........................] - ETA: 0s - loss: 0.0258
 76/241 [========>.....................] - ETA: 0s - loss: 0.0280
104/241 [===========>..................] - ETA: 0s - loss: 0.0279
132/241 [===============>..............] - ETA: 0s - loss: 0.0255
161/241 [===================>..........] - ETA: 0s - loss: 0.0293
191/241 [======================>.......] - ETA: 0s - loss: 0.0312
226/241 [===========================>..] - ETA: 0s - loss: 0.0333
241/241 [==============================] - 0s 2ms/step - loss: 0.0345
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 2.5505e-04
 26/241 [==>...........................] - ETA: 0s - loss: 0.0497    
 51/241 [=====>........................] - ETA: 0s - loss: 0.0385
 79/241 [========>.....................] - ETA: 0s - loss: 0.0351
101/241 [===========>..................] - ETA: 0s - loss: 0.0330
123/241 [==============>...............] - ETA: 0s - loss: 0.0299
147/241 [=================>............] - ETA: 0s - loss: 0.0284
171/241 [====================>.........] - ETA: 0s - loss: 0.0294
192/241 [======================>.......] - ETA: 0s - loss: 0.0282
213/241 [=========================>....] - ETA: 0s - loss: 0.0278
234/241 [============================>.] - ETA: 0s - loss: 0.0287
241/241 [==============================] - 1s 2ms/step - loss: 0.0280
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0015
 24/241 [=>............................] - ETA: 0s - loss: 0.0082
 53/241 [=====>........................] - ETA: 0s - loss: 0.0166
 81/241 [=========>....................] - ETA: 0s - loss: 0.0218
109/241 [============>.................] - ETA: 0s - loss: 0.0204
143/241 [================>.............] - ETA: 0s - loss: 0.0209
168/241 [===================>..........] - ETA: 0s - loss: 0.0239
189/241 [======================>.......] - ETA: 0s - loss: 0.0249
217/241 [==========================>...] - ETA: 0s - loss: 0.0256
240/241 [============================>.] - ETA: 0s - loss: 0.0278
241/241 [==============================] - 0s 2ms/step - loss: 0.0277
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0032
 23/241 [=>............................] - ETA: 0s - loss: 0.0135
 46/241 [====>.........................] - ETA: 0s - loss: 0.0132
 71/241 [=======>......................] - ETA: 0s - loss: 0.0234
 96/241 [==========>...................] - ETA: 0s - loss: 0.0258
117/241 [=============>................] - ETA: 0s - loss: 0.0261
146/241 [=================>............] - ETA: 0s - loss: 0.0254
174/241 [====================>.........] - ETA: 0s - loss: 0.0262
202/241 [========================>.....] - ETA: 0s - loss: 0.0252
227/241 [===========================>..] - ETA: 0s - loss: 0.0236
241/241 [==============================] - 0s 2ms/step - loss: 0.0241
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0201
 27/241 [==>...........................] - ETA: 0s - loss: 0.0283
 51/241 [=====>........................] - ETA: 0s - loss: 0.0208
 75/241 [========>.....................] - ETA: 0s - loss: 0.0185
105/241 [============>.................] - ETA: 0s - loss: 0.0188
133/241 [===============>..............] - ETA: 0s - loss: 0.0219
161/241 [===================>..........] - ETA: 0s - loss: 0.0232
187/241 [======================>.......] - ETA: 0s - loss: 0.0243
216/241 [=========================>....] - ETA: 0s - loss: 0.0264
241/241 [==============================] - 0s 2ms/step - loss: 0.0247
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 8.4841e-04
 33/241 [===>..........................] - ETA: 0s - loss: 0.0289    
 59/241 [======>.......................] - ETA: 0s - loss: 0.0235
 79/241 [========>.....................] - ETA: 0s - loss: 0.0217
100/241 [===========>..................] - ETA: 0s - loss: 0.0233
118/241 [=============>................] - ETA: 0s - loss: 0.0252
138/241 [================>.............] - ETA: 0s - loss: 0.0236
166/241 [===================>..........] - ETA: 0s - loss: 0.0222
196/241 [=======================>......] - ETA: 0s - loss: 0.0228
225/241 [===========================>..] - ETA: 0s - loss: 0.0228
241/241 [==============================] - 0s 2ms/step - loss: 0.0221
-> test with GAN.predict
GAN tn, fp: 586, 17
GAN fn, tp: 6, 25
GAN f1 score: 0.685
GAN cohens kappa score: 0.666

-> test with 'LR'
LR tn, fp: 546, 57
LR fn, tp: 11, 20
LR f1 score: 0.370
LR cohens kappa score: 0.323
LR average precision score: 0.315

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

-> test with 'GB'
GB tn, fp: 592, 11
GB fn, tp: 3, 28
GB f1 score: 0.800
GB cohens kappa score: 0.788

-> test with 'KNN'
KNN tn, fp: 582, 21
KNN fn, tp: 9, 22
KNN f1 score: 0.595
KNN cohens kappa score: 0.570


------ 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: 1:20 - loss: 0.6146
 18/241 [=>............................] - ETA: 0s - loss: 0.4751  
 33/241 [===>..........................] - ETA: 0s - loss: 0.3590
 50/241 [=====>........................] - ETA: 0s - loss: 0.2893
 69/241 [=======>......................] - ETA: 0s - loss: 0.2411
 98/241 [===========>..................] - ETA: 0s - loss: 0.2115
123/241 [==============>...............] - ETA: 0s - loss: 0.1985
147/241 [=================>............] - ETA: 0s - loss: 0.1791
169/241 [====================>.........] - ETA: 0s - loss: 0.1676
191/241 [======================>.......] - ETA: 0s - loss: 0.1563
214/241 [=========================>....] - ETA: 0s - loss: 0.1447
237/241 [============================>.] - ETA: 0s - loss: 0.1349
241/241 [==============================] - 1s 2ms/step - loss: 0.1328
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0025
 28/241 [==>...........................] - ETA: 0s - loss: 0.0711
 54/241 [=====>........................] - ETA: 0s - loss: 0.0499
 79/241 [========>.....................] - ETA: 0s - loss: 0.0505
104/241 [===========>..................] - ETA: 0s - loss: 0.0522
130/241 [===============>..............] - ETA: 0s - loss: 0.0501
154/241 [==================>...........] - ETA: 0s - loss: 0.0576
179/241 [=====================>........] - ETA: 0s - loss: 0.0554
205/241 [========================>.....] - ETA: 0s - loss: 0.0549
233/241 [============================>.] - ETA: 0s - loss: 0.0565
241/241 [==============================] - 0s 2ms/step - loss: 0.0552
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0022
 25/241 [==>...........................] - ETA: 0s - loss: 0.0231
 50/241 [=====>........................] - ETA: 0s - loss: 0.0362
 75/241 [========>.....................] - ETA: 0s - loss: 0.0387
102/241 [===========>..................] - ETA: 0s - loss: 0.0349
126/241 [==============>...............] - ETA: 0s - loss: 0.0352
151/241 [=================>............] - ETA: 0s - loss: 0.0352
178/241 [=====================>........] - ETA: 0s - loss: 0.0356
205/241 [========================>.....] - ETA: 0s - loss: 0.0395
231/241 [===========================>..] - ETA: 0s - loss: 0.0390
241/241 [==============================] - 0s 2ms/step - loss: 0.0389
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0016
 30/241 [==>...........................] - ETA: 0s - loss: 0.0157
 56/241 [=====>........................] - ETA: 0s - loss: 0.0283
 86/241 [=========>....................] - ETA: 0s - loss: 0.0291
113/241 [=============>................] - ETA: 0s - loss: 0.0276
140/241 [================>.............] - ETA: 0s - loss: 0.0281
160/241 [==================>...........] - ETA: 0s - loss: 0.0314
183/241 [=====================>........] - ETA: 0s - loss: 0.0328
206/241 [========================>.....] - ETA: 0s - loss: 0.0341
228/241 [===========================>..] - ETA: 0s - loss: 0.0334
241/241 [==============================] - 0s 2ms/step - loss: 0.0345
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0044
 22/241 [=>............................] - ETA: 0s - loss: 0.0342
 48/241 [====>.........................] - ETA: 0s - loss: 0.0373
 68/241 [=======>......................] - ETA: 0s - loss: 0.0389
 84/241 [=========>....................] - ETA: 0s - loss: 0.0420
 97/241 [===========>..................] - ETA: 0s - loss: 0.0385
107/241 [============>.................] - ETA: 0s - loss: 0.0375
114/241 [=============>................] - ETA: 0s - loss: 0.0358
125/241 [==============>...............] - ETA: 0s - loss: 0.0358
134/241 [===============>..............] - ETA: 0s - loss: 0.0365
144/241 [================>.............] - ETA: 0s - loss: 0.0354
156/241 [==================>...........] - ETA: 0s - loss: 0.0351
170/241 [====================>.........] - ETA: 0s - loss: 0.0388
183/241 [=====================>........] - ETA: 0s - loss: 0.0368
196/241 [=======================>......] - ETA: 0s - loss: 0.0375
215/241 [=========================>....] - ETA: 0s - loss: 0.0357
238/241 [============================>.] - ETA: 0s - loss: 0.0354
241/241 [==============================] - 1s 4ms/step - loss: 0.0350
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0027
 26/241 [==>...........................] - ETA: 0s - loss: 0.0205
 50/241 [=====>........................] - ETA: 0s - loss: 0.0190
 66/241 [=======>......................] - ETA: 0s - loss: 0.0238
 84/241 [=========>....................] - ETA: 0s - loss: 0.0282
 91/241 [==========>...................] - ETA: 0s - loss: 0.0326
106/241 [============>.................] - ETA: 0s - loss: 0.0292
129/241 [===============>..............] - ETA: 0s - loss: 0.0260
153/241 [==================>...........] - ETA: 0s - loss: 0.0247
176/241 [====================>.........] - ETA: 0s - loss: 0.0235
200/241 [=======================>......] - ETA: 0s - loss: 0.0232
229/241 [===========================>..] - ETA: 0s - loss: 0.0254
241/241 [==============================] - 1s 2ms/step - loss: 0.0266
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0073
 19/241 [=>............................] - ETA: 0s - loss: 0.0245
 35/241 [===>..........................] - ETA: 0s - loss: 0.0277
 55/241 [=====>........................] - ETA: 0s - loss: 0.0216
 76/241 [========>.....................] - ETA: 0s - loss: 0.0298
 92/241 [==========>...................] - ETA: 0s - loss: 0.0333
109/241 [============>.................] - ETA: 0s - loss: 0.0323
131/241 [===============>..............] - ETA: 0s - loss: 0.0316
153/241 [==================>...........] - ETA: 0s - loss: 0.0300
169/241 [====================>.........] - ETA: 0s - loss: 0.0302
193/241 [=======================>......] - ETA: 0s - loss: 0.0285
214/241 [=========================>....] - ETA: 0s - loss: 0.0284
234/241 [============================>.] - ETA: 0s - loss: 0.0265
241/241 [==============================] - 1s 3ms/step - loss: 0.0260
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0516
 23/241 [=>............................] - ETA: 0s - loss: 0.0270
 46/241 [====>.........................] - ETA: 0s - loss: 0.0229
 68/241 [=======>......................] - ETA: 0s - loss: 0.0288
 83/241 [=========>....................] - ETA: 0s - loss: 0.0264
103/241 [===========>..................] - ETA: 0s - loss: 0.0253
125/241 [==============>...............] - ETA: 0s - loss: 0.0274
144/241 [================>.............] - ETA: 0s - loss: 0.0255
155/241 [==================>...........] - ETA: 0s - loss: 0.0240
169/241 [====================>.........] - ETA: 0s - loss: 0.0251
186/241 [======================>.......] - ETA: 0s - loss: 0.0247
206/241 [========================>.....] - ETA: 0s - loss: 0.0252
226/241 [===========================>..] - ETA: 0s - loss: 0.0269
240/241 [============================>.] - ETA: 0s - loss: 0.0269
241/241 [==============================] - 1s 3ms/step - loss: 0.0270
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0044
 24/241 [=>............................] - ETA: 0s - loss: 0.0214
 47/241 [====>.........................] - ETA: 0s - loss: 0.0142
 67/241 [=======>......................] - ETA: 0s - loss: 0.0184
 91/241 [==========>...................] - ETA: 0s - loss: 0.0210
113/241 [=============>................] - ETA: 0s - loss: 0.0227
135/241 [===============>..............] - ETA: 0s - loss: 0.0220
161/241 [===================>..........] - ETA: 0s - loss: 0.0232
188/241 [======================>.......] - ETA: 0s - loss: 0.0232
217/241 [==========================>...] - ETA: 0s - loss: 0.0247
241/241 [==============================] - 1s 2ms/step - loss: 0.0242
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0094
 28/241 [==>...........................] - ETA: 0s - loss: 0.0145
 52/241 [=====>........................] - ETA: 0s - loss: 0.0253
 78/241 [========>.....................] - ETA: 0s - loss: 0.0239
108/241 [============>.................] - ETA: 0s - loss: 0.0280
133/241 [===============>..............] - ETA: 0s - loss: 0.0260
158/241 [==================>...........] - ETA: 0s - loss: 0.0244
186/241 [======================>.......] - ETA: 0s - loss: 0.0240
216/241 [=========================>....] - ETA: 0s - loss: 0.0245
241/241 [==============================] - 0s 2ms/step - loss: 0.0258
-> test with GAN.predict
GAN tn, fp: 589, 14
GAN fn, tp: 7, 24
GAN f1 score: 0.696
GAN cohens kappa score: 0.678

-> test with 'LR'
LR tn, fp: 538, 65
LR fn, tp: 1, 30
LR f1 score: 0.476
LR cohens kappa score: 0.434
LR average precision score: 0.586

-> 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: 592, 11
GB fn, tp: 5, 26
GB f1 score: 0.765
GB cohens kappa score: 0.751

-> test with 'KNN'
KNN tn, fp: 586, 17
KNN fn, tp: 10, 21
KNN f1 score: 0.609
KNN cohens kappa score: 0.586


------ 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: 54s - loss: 0.7843
 40/241 [===>..........................] - ETA: 0s - loss: 0.1378 
 80/241 [========>.....................] - ETA: 0s - loss: 0.1339
111/241 [============>.................] - ETA: 0s - loss: 0.1250
145/241 [=================>............] - ETA: 0s - loss: 0.1189
176/241 [====================>.........] - ETA: 0s - loss: 0.1160
206/241 [========================>.....] - ETA: 0s - loss: 0.1119
235/241 [============================>.] - ETA: 0s - loss: 0.1135
241/241 [==============================] - 1s 2ms/step - loss: 0.1118
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0174
 31/241 [==>...........................] - ETA: 0s - loss: 0.0647
 60/241 [======>.......................] - ETA: 0s - loss: 0.0476
 90/241 [==========>...................] - ETA: 0s - loss: 0.0522
119/241 [=============>................] - ETA: 0s - loss: 0.0568
143/241 [================>.............] - ETA: 0s - loss: 0.0495
161/241 [===================>..........] - ETA: 0s - loss: 0.0467
189/241 [======================>.......] - ETA: 0s - loss: 0.0459
216/241 [=========================>....] - ETA: 0s - loss: 0.0476
241/241 [==============================] - 0s 2ms/step - loss: 0.0493
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 5.3472e-04
 30/241 [==>...........................] - ETA: 0s - loss: 0.0310    
 59/241 [======>.......................] - ETA: 0s - loss: 0.0273
 88/241 [=========>....................] - ETA: 0s - loss: 0.0335
118/241 [=============>................] - ETA: 0s - loss: 0.0323
153/241 [==================>...........] - ETA: 0s - loss: 0.0360
186/241 [======================>.......] - ETA: 0s - loss: 0.0356
205/241 [========================>.....] - ETA: 0s - loss: 0.0370
233/241 [============================>.] - ETA: 0s - loss: 0.0374
241/241 [==============================] - 0s 2ms/step - loss: 0.0385
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0095
 39/241 [===>..........................] - ETA: 0s - loss: 0.0268
 61/241 [======>.......................] - ETA: 0s - loss: 0.0242
 90/241 [==========>...................] - ETA: 0s - loss: 0.0284
118/241 [=============>................] - ETA: 0s - loss: 0.0287
157/241 [==================>...........] - ETA: 0s - loss: 0.0286
196/241 [=======================>......] - ETA: 0s - loss: 0.0291
229/241 [===========================>..] - ETA: 0s - loss: 0.0300
241/241 [==============================] - 0s 2ms/step - loss: 0.0306
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.2246
 35/241 [===>..........................] - ETA: 0s - loss: 0.0279
 67/241 [=======>......................] - ETA: 0s - loss: 0.0239
 97/241 [===========>..................] - ETA: 0s - loss: 0.0262
129/241 [===============>..............] - ETA: 0s - loss: 0.0324
164/241 [===================>..........] - ETA: 0s - loss: 0.0325
198/241 [=======================>......] - ETA: 0s - loss: 0.0293
229/241 [===========================>..] - ETA: 0s - loss: 0.0308
241/241 [==============================] - 0s 2ms/step - loss: 0.0309
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0081
 35/241 [===>..........................] - ETA: 0s - loss: 0.0204
 66/241 [=======>......................] - ETA: 0s - loss: 0.0366
101/241 [===========>..................] - ETA: 0s - loss: 0.0338
139/241 [================>.............] - ETA: 0s - loss: 0.0323
177/241 [=====================>........] - ETA: 0s - loss: 0.0282
212/241 [=========================>....] - ETA: 0s - loss: 0.0299
241/241 [==============================] - 0s 1ms/step - loss: 0.0291
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 8.4804e-04
 39/241 [===>..........................] - ETA: 0s - loss: 0.0298    
 77/241 [========>.....................] - ETA: 0s - loss: 0.0261
113/241 [=============>................] - ETA: 0s - loss: 0.0277
153/241 [==================>...........] - ETA: 0s - loss: 0.0304
187/241 [======================>.......] - ETA: 0s - loss: 0.0288
227/241 [===========================>..] - ETA: 0s - loss: 0.0277
241/241 [==============================] - 0s 1ms/step - loss: 0.0274
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.2360
 34/241 [===>..........................] - ETA: 0s - loss: 0.0227
 65/241 [=======>......................] - ETA: 0s - loss: 0.0183
 97/241 [===========>..................] - ETA: 0s - loss: 0.0278
134/241 [===============>..............] - ETA: 0s - loss: 0.0270
173/241 [====================>.........] - ETA: 0s - loss: 0.0277
211/241 [=========================>....] - ETA: 0s - loss: 0.0252
241/241 [==============================] - 0s 1ms/step - loss: 0.0248
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0053
 40/241 [===>..........................] - ETA: 0s - loss: 0.0130
 77/241 [========>.....................] - ETA: 0s - loss: 0.0143
112/241 [============>.................] - ETA: 0s - loss: 0.0204
149/241 [=================>............] - ETA: 0s - loss: 0.0195
186/241 [======================>.......] - ETA: 0s - loss: 0.0209
224/241 [==========================>...] - ETA: 0s - loss: 0.0232
241/241 [==============================] - 0s 1ms/step - loss: 0.0242
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 8.3935e-05
 38/241 [===>..........................] - ETA: 0s - loss: 0.0333    
 76/241 [========>.....................] - ETA: 0s - loss: 0.0306
114/241 [=============>................] - ETA: 0s - loss: 0.0276
153/241 [==================>...........] - ETA: 0s - loss: 0.0254
190/241 [======================>.......] - ETA: 0s - loss: 0.0230
226/241 [===========================>..] - ETA: 0s - loss: 0.0223
241/241 [==============================] - 0s 1ms/step - loss: 0.0226
-> test with GAN.predict
GAN tn, fp: 596, 7
GAN fn, tp: 12, 19
GAN f1 score: 0.667
GAN cohens kappa score: 0.651

-> test with 'LR'
LR tn, fp: 545, 58
LR fn, tp: 3, 28
LR f1 score: 0.479
LR cohens kappa score: 0.438
LR average precision score: 0.473

-> test with 'RF'
RF tn, fp: 596, 7
RF fn, tp: 11, 20
RF f1 score: 0.690
RF cohens kappa score: 0.675

-> test with 'GB'
GB tn, fp: 594, 9
GB fn, tp: 7, 24
GB f1 score: 0.750
GB cohens kappa score: 0.737

-> test with 'KNN'
KNN tn, fp: 590, 13
KNN fn, tp: 12, 19
KNN f1 score: 0.603
KNN cohens kappa score: 0.582


------ 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: 54s - loss: 0.4291
 39/242 [===>..........................] - ETA: 0s - loss: 0.4116 
 78/242 [========>.....................] - ETA: 0s - loss: 0.3054
117/242 [=============>................] - ETA: 0s - loss: 0.2426
156/242 [==================>...........] - ETA: 0s - loss: 0.2048
195/242 [=======================>......] - ETA: 0s - loss: 0.1777
235/242 [============================>.] - ETA: 0s - loss: 0.1604
242/242 [==============================] - 1s 1ms/step - loss: 0.1583
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0030
 40/242 [===>..........................] - ETA: 0s - loss: 0.0635
 79/242 [========>.....................] - ETA: 0s - loss: 0.0673
117/242 [=============>................] - ETA: 0s - loss: 0.0739
156/242 [==================>...........] - ETA: 0s - loss: 0.0674
195/242 [=======================>......] - ETA: 0s - loss: 0.0649
234/242 [============================>.] - ETA: 0s - loss: 0.0650
242/242 [==============================] - 0s 1ms/step - loss: 0.0663
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.0166
 38/242 [===>..........................] - ETA: 0s - loss: 0.0393
 76/242 [========>.....................] - ETA: 0s - loss: 0.0406
113/242 [=============>................] - ETA: 0s - loss: 0.0570
151/242 [=================>............] - ETA: 0s - loss: 0.0575
190/242 [======================>.......] - ETA: 0s - loss: 0.0544
229/242 [===========================>..] - ETA: 0s - loss: 0.0562
242/242 [==============================] - 0s 1ms/step - loss: 0.0549
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.0171
 37/242 [===>..........................] - ETA: 0s - loss: 0.0457
 71/242 [=======>......................] - ETA: 0s - loss: 0.0527
108/242 [============>.................] - ETA: 0s - loss: 0.0557
146/242 [=================>............] - ETA: 0s - loss: 0.0487
185/242 [=====================>........] - ETA: 0s - loss: 0.0445
223/242 [==========================>...] - ETA: 0s - loss: 0.0471
242/242 [==============================] - 0s 1ms/step - loss: 0.0479
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.1113
 38/242 [===>..........................] - ETA: 0s - loss: 0.0342
 75/242 [========>.....................] - ETA: 0s - loss: 0.0272
112/242 [============>.................] - ETA: 0s - loss: 0.0329
146/242 [=================>............] - ETA: 0s - loss: 0.0347
183/242 [=====================>........] - ETA: 0s - loss: 0.0383
221/242 [==========================>...] - ETA: 0s - loss: 0.0395
242/242 [==============================] - 0s 1ms/step - loss: 0.0434
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0152
 39/242 [===>..........................] - ETA: 0s - loss: 0.0318
 74/242 [========>.....................] - ETA: 0s - loss: 0.0328
112/242 [============>.................] - ETA: 0s - loss: 0.0375
149/242 [=================>............] - ETA: 0s - loss: 0.0400
188/242 [======================>.......] - ETA: 0s - loss: 0.0386
225/242 [==========================>...] - ETA: 0s - loss: 0.0387
242/242 [==============================] - 0s 1ms/step - loss: 0.0403
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.1703
 34/242 [===>..........................] - ETA: 0s - loss: 0.0433
 67/242 [=======>......................] - ETA: 0s - loss: 0.0470
104/242 [===========>..................] - ETA: 0s - loss: 0.0436
140/242 [================>.............] - ETA: 0s - loss: 0.0431
178/242 [=====================>........] - ETA: 0s - loss: 0.0401
217/242 [=========================>....] - ETA: 0s - loss: 0.0407
242/242 [==============================] - 0s 1ms/step - loss: 0.0396
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0749
 40/242 [===>..........................] - ETA: 0s - loss: 0.0428
 79/242 [========>.....................] - ETA: 0s - loss: 0.0400
119/242 [=============>................] - ETA: 0s - loss: 0.0384
156/242 [==================>...........] - ETA: 0s - loss: 0.0361
194/242 [=======================>......] - ETA: 0s - loss: 0.0329
233/242 [===========================>..] - ETA: 0s - loss: 0.0342
242/242 [==============================] - 0s 1ms/step - loss: 0.0345
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0267
 39/242 [===>..........................] - ETA: 0s - loss: 0.0357
 79/242 [========>.....................] - ETA: 0s - loss: 0.0336
121/242 [==============>...............] - ETA: 0s - loss: 0.0360
159/242 [==================>...........] - ETA: 0s - loss: 0.0338
199/242 [=======================>......] - ETA: 0s - loss: 0.0325
238/242 [============================>.] - ETA: 0s - loss: 0.0326
242/242 [==============================] - 0s 1ms/step - loss: 0.0327
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0407
 40/242 [===>..........................] - ETA: 0s - loss: 0.0288
 79/242 [========>.....................] - ETA: 0s - loss: 0.0296
118/242 [=============>................] - ETA: 0s - loss: 0.0300
152/242 [=================>............] - ETA: 0s - loss: 0.0299
191/242 [======================>.......] - ETA: 0s - loss: 0.0320
229/242 [===========================>..] - ETA: 0s - loss: 0.0310
242/242 [==============================] - 0s 1ms/step - loss: 0.0309
-> test with GAN.predict
GAN tn, fp: 590, 10
GAN fn, tp: 3, 24
GAN f1 score: 0.787
GAN cohens kappa score: 0.776

-> test with 'LR'
LR tn, fp: 535, 65
LR fn, tp: 6, 21
LR f1 score: 0.372
LR cohens kappa score: 0.328
LR average precision score: 0.348

-> test with 'RF'
RF tn, fp: 597, 3
RF fn, tp: 4, 23
RF f1 score: 0.868
RF cohens kappa score: 0.862

-> test with 'GB'
GB tn, fp: 597, 3
GB fn, tp: 1, 26
GB f1 score: 0.929
GB cohens kappa score: 0.925

-> test with 'KNN'
KNN tn, fp: 593, 7
KNN fn, tp: 4, 23
KNN f1 score: 0.807
KNN cohens kappa score: 0.798


====== 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: 52s - loss: 4.0647
 40/241 [===>..........................] - ETA: 0s - loss: 0.3617 
 78/241 [========>.....................] - ETA: 0s - loss: 0.3575
117/241 [=============>................] - ETA: 0s - loss: 0.2735
154/241 [==================>...........] - ETA: 0s - loss: 0.2309
193/241 [=======================>......] - ETA: 0s - loss: 0.1956
227/241 [===========================>..] - ETA: 0s - loss: 0.1802
241/241 [==============================] - 1s 1ms/step - loss: 0.1730
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0061
 33/241 [===>..........................] - ETA: 0s - loss: 0.0618
 69/241 [=======>......................] - ETA: 0s - loss: 0.0662
107/241 [============>.................] - ETA: 0s - loss: 0.0673
145/241 [=================>............] - ETA: 0s - loss: 0.0584
186/241 [======================>.......] - ETA: 0s - loss: 0.0528
225/241 [===========================>..] - ETA: 0s - loss: 0.0543
241/241 [==============================] - 0s 1ms/step - loss: 0.0539
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0064
 41/241 [====>.........................] - ETA: 0s - loss: 0.0381
 78/241 [========>.....................] - ETA: 0s - loss: 0.0360
117/241 [=============>................] - ETA: 0s - loss: 0.0379
156/241 [==================>...........] - ETA: 0s - loss: 0.0430
192/241 [======================>.......] - ETA: 0s - loss: 0.0451
231/241 [===========================>..] - ETA: 0s - loss: 0.0449
241/241 [==============================] - 0s 1ms/step - loss: 0.0437
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0030
 39/241 [===>..........................] - ETA: 0s - loss: 0.0283
 79/241 [========>.....................] - ETA: 0s - loss: 0.0289
118/241 [=============>................] - ETA: 0s - loss: 0.0309
158/241 [==================>...........] - ETA: 0s - loss: 0.0364
199/241 [=======================>......] - ETA: 0s - loss: 0.0370
237/241 [============================>.] - ETA: 0s - loss: 0.0355
241/241 [==============================] - 0s 1ms/step - loss: 0.0351
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0446
 37/241 [===>..........................] - ETA: 0s - loss: 0.0292
 75/241 [========>.....................] - ETA: 0s - loss: 0.0298
114/241 [=============>................] - ETA: 0s - loss: 0.0258
154/241 [==================>...........] - ETA: 0s - loss: 0.0260
193/241 [=======================>......] - ETA: 0s - loss: 0.0338
227/241 [===========================>..] - ETA: 0s - loss: 0.0330
241/241 [==============================] - 0s 1ms/step - loss: 0.0327
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0418
 38/241 [===>..........................] - ETA: 0s - loss: 0.0171
 76/241 [========>.....................] - ETA: 0s - loss: 0.0398
115/241 [=============>................] - ETA: 0s - loss: 0.0400
154/241 [==================>...........] - ETA: 0s - loss: 0.0354
193/241 [=======================>......] - ETA: 0s - loss: 0.0318
232/241 [===========================>..] - ETA: 0s - loss: 0.0285
241/241 [==============================] - 0s 1ms/step - loss: 0.0298
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0018
 40/241 [===>..........................] - ETA: 0s - loss: 0.0241
 79/241 [========>.....................] - ETA: 0s - loss: 0.0274
119/241 [=============>................] - ETA: 0s - loss: 0.0274
157/241 [==================>...........] - ETA: 0s - loss: 0.0299
194/241 [=======================>......] - ETA: 0s - loss: 0.0296
229/241 [===========================>..] - ETA: 0s - loss: 0.0283
241/241 [==============================] - 0s 1ms/step - loss: 0.0273
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0976
 40/241 [===>..........................] - ETA: 0s - loss: 0.0290
 80/241 [========>.....................] - ETA: 0s - loss: 0.0283
118/241 [=============>................] - ETA: 0s - loss: 0.0281
149/241 [=================>............] - ETA: 0s - loss: 0.0251
180/241 [=====================>........] - ETA: 0s - loss: 0.0241
213/241 [=========================>....] - ETA: 0s - loss: 0.0231
241/241 [==============================] - 0s 1ms/step - loss: 0.0244
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0480
 40/241 [===>..........................] - ETA: 0s - loss: 0.0186
 76/241 [========>.....................] - ETA: 0s - loss: 0.0209
113/241 [=============>................] - ETA: 0s - loss: 0.0245
151/241 [=================>............] - ETA: 0s - loss: 0.0268
190/241 [======================>.......] - ETA: 0s - loss: 0.0262
230/241 [===========================>..] - ETA: 0s - loss: 0.0249
241/241 [==============================] - 0s 1ms/step - loss: 0.0245
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0042
 40/241 [===>..........................] - ETA: 0s - loss: 0.0169
 79/241 [========>.....................] - ETA: 0s - loss: 0.0148
118/241 [=============>................] - ETA: 0s - loss: 0.0190
157/241 [==================>...........] - ETA: 0s - loss: 0.0197
196/241 [=======================>......] - ETA: 0s - loss: 0.0215
236/241 [============================>.] - ETA: 0s - loss: 0.0241
241/241 [==============================] - 0s 1ms/step - loss: 0.0241
-> test with GAN.predict
GAN tn, fp: 586, 17
GAN fn, tp: 9, 22
GAN f1 score: 0.629
GAN cohens kappa score: 0.607

-> test with 'LR'
LR tn, fp: 548, 55
LR fn, tp: 7, 24
LR f1 score: 0.436
LR cohens kappa score: 0.394
LR average precision score: 0.423

-> test with 'RF'
RF tn, fp: 600, 3
RF fn, tp: 6, 25
RF f1 score: 0.847
RF cohens kappa score: 0.840

-> 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: 595, 8
KNN fn, tp: 13, 18
KNN f1 score: 0.632
KNN cohens kappa score: 0.614


------ 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: 51s - loss: 0.1543
 42/241 [====>.........................] - ETA: 0s - loss: 0.3513 
 81/241 [=========>....................] - ETA: 0s - loss: 0.2410
120/241 [=============>................] - ETA: 0s - loss: 0.2008
161/241 [===================>..........] - ETA: 0s - loss: 0.1663
199/241 [=======================>......] - ETA: 0s - loss: 0.1536
240/241 [============================>.] - ETA: 0s - loss: 0.1373
241/241 [==============================] - 1s 1ms/step - loss: 0.1367
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 9.1123e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0691    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0591
122/241 [==============>...............] - ETA: 0s - loss: 0.0565
158/241 [==================>...........] - ETA: 0s - loss: 0.0562
194/241 [=======================>......] - ETA: 0s - loss: 0.0502
235/241 [============================>.] - ETA: 0s - loss: 0.0512
241/241 [==============================] - 0s 1ms/step - loss: 0.0511
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0107
 42/241 [====>.........................] - ETA: 0s - loss: 0.0337
 82/241 [=========>....................] - ETA: 0s - loss: 0.0310
122/241 [==============>...............] - ETA: 0s - loss: 0.0376
162/241 [===================>..........] - ETA: 0s - loss: 0.0359
202/241 [========================>.....] - ETA: 0s - loss: 0.0350
241/241 [==============================] - 0s 1ms/step - loss: 0.0387
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0208
 42/241 [====>.........................] - ETA: 0s - loss: 0.0491
 83/241 [=========>....................] - ETA: 0s - loss: 0.0348
122/241 [==============>...............] - ETA: 0s - loss: 0.0341
158/241 [==================>...........] - ETA: 0s - loss: 0.0390
197/241 [=======================>......] - ETA: 0s - loss: 0.0366
238/241 [============================>.] - ETA: 0s - loss: 0.0362
241/241 [==============================] - 0s 1ms/step - loss: 0.0359
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0107
 41/241 [====>.........................] - ETA: 0s - loss: 0.0289
 81/241 [=========>....................] - ETA: 0s - loss: 0.0305
123/241 [==============>...............] - ETA: 0s - loss: 0.0320
160/241 [==================>...........] - ETA: 0s - loss: 0.0307
200/241 [=======================>......] - ETA: 0s - loss: 0.0304
239/241 [============================>.] - ETA: 0s - loss: 0.0335
241/241 [==============================] - 0s 1ms/step - loss: 0.0333
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.1460
 42/241 [====>.........................] - ETA: 0s - loss: 0.0185
 83/241 [=========>....................] - ETA: 0s - loss: 0.0294
124/241 [==============>...............] - ETA: 0s - loss: 0.0303
165/241 [===================>..........] - ETA: 0s - loss: 0.0278
203/241 [========================>.....] - ETA: 0s - loss: 0.0300
239/241 [============================>.] - ETA: 0s - loss: 0.0309
241/241 [==============================] - 0s 1ms/step - loss: 0.0308
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.2448
 32/241 [==>...........................] - ETA: 0s - loss: 0.0233
 67/241 [=======>......................] - ETA: 0s - loss: 0.0203
 98/241 [===========>..................] - ETA: 0s - loss: 0.0203
132/241 [===============>..............] - ETA: 0s - loss: 0.0208
169/241 [====================>.........] - ETA: 0s - loss: 0.0291
204/241 [========================>.....] - ETA: 0s - loss: 0.0279
239/241 [============================>.] - ETA: 0s - loss: 0.0280
241/241 [==============================] - 0s 1ms/step - loss: 0.0282
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0021
 38/241 [===>..........................] - ETA: 0s - loss: 0.0216
 74/241 [========>.....................] - ETA: 0s - loss: 0.0201
109/241 [============>.................] - ETA: 0s - loss: 0.0211
144/241 [================>.............] - ETA: 0s - loss: 0.0222
181/241 [=====================>........] - ETA: 0s - loss: 0.0222
217/241 [==========================>...] - ETA: 0s - loss: 0.0217
241/241 [==============================] - 0s 1ms/step - loss: 0.0260
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 4.4638e-04
 37/241 [===>..........................] - ETA: 0s - loss: 0.0142    
 71/241 [=======>......................] - ETA: 0s - loss: 0.0209
105/241 [============>.................] - ETA: 0s - loss: 0.0240
142/241 [================>.............] - ETA: 0s - loss: 0.0248
175/241 [====================>.........] - ETA: 0s - loss: 0.0246
210/241 [=========================>....] - ETA: 0s - loss: 0.0262
241/241 [==============================] - 0s 1ms/step - loss: 0.0271
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0155
 32/241 [==>...........................] - ETA: 0s - loss: 0.0237
 64/241 [======>.......................] - ETA: 0s - loss: 0.0263
 95/241 [==========>...................] - ETA: 0s - loss: 0.0265
128/241 [==============>...............] - ETA: 0s - loss: 0.0223
159/241 [==================>...........] - ETA: 0s - loss: 0.0218
192/241 [======================>.......] - ETA: 0s - loss: 0.0225
225/241 [===========================>..] - ETA: 0s - loss: 0.0246
241/241 [==============================] - 0s 2ms/step - loss: 0.0248
-> test with GAN.predict
GAN tn, fp: 597, 6
GAN fn, tp: 9, 22
GAN f1 score: 0.746
GAN cohens kappa score: 0.733

-> test with 'LR'
LR tn, fp: 555, 48
LR fn, tp: 7, 24
LR f1 score: 0.466
LR cohens kappa score: 0.427
LR average precision score: 0.469

-> test with 'RF'
RF tn, fp: 598, 5
RF fn, tp: 9, 22
RF f1 score: 0.759
RF cohens kappa score: 0.747

-> test with 'GB'
GB tn, fp: 598, 5
GB fn, tp: 4, 27
GB f1 score: 0.857
GB cohens kappa score: 0.850

-> test with 'KNN'
KNN tn, fp: 594, 9
KNN fn, tp: 8, 23
KNN f1 score: 0.730
KNN cohens kappa score: 0.716


------ 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: 2.5575
 41/241 [====>.........................] - ETA: 0s - loss: 0.3473 
 82/241 [=========>....................] - ETA: 0s - loss: 0.2652
123/241 [==============>...............] - ETA: 0s - loss: 0.2094
162/241 [===================>..........] - ETA: 0s - loss: 0.1907
202/241 [========================>.....] - ETA: 0s - loss: 0.1719
241/241 [==============================] - 1s 1ms/step - loss: 0.1608
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0013
 41/241 [====>.........................] - ETA: 0s - loss: 0.0526
 82/241 [=========>....................] - ETA: 0s - loss: 0.0551
123/241 [==============>...............] - ETA: 0s - loss: 0.0517
161/241 [===================>..........] - ETA: 0s - loss: 0.0543
198/241 [=======================>......] - ETA: 0s - loss: 0.0550
229/241 [===========================>..] - ETA: 0s - loss: 0.0579
241/241 [==============================] - 0s 1ms/step - loss: 0.0591
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0639
 41/241 [====>.........................] - ETA: 0s - loss: 0.0435
 82/241 [=========>....................] - ETA: 0s - loss: 0.0493
122/241 [==============>...............] - ETA: 0s - loss: 0.0492
161/241 [===================>..........] - ETA: 0s - loss: 0.0464
199/241 [=======================>......] - ETA: 0s - loss: 0.0454
240/241 [============================>.] - ETA: 0s - loss: 0.0472
241/241 [==============================] - 0s 1ms/step - loss: 0.0471
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 1.4116e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0266    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0371
122/241 [==============>...............] - ETA: 0s - loss: 0.0369
156/241 [==================>...........] - ETA: 0s - loss: 0.0371
193/241 [=======================>......] - ETA: 0s - loss: 0.0400
233/241 [============================>.] - ETA: 0s - loss: 0.0387
241/241 [==============================] - 0s 1ms/step - loss: 0.0376
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0116
 41/241 [====>.........................] - ETA: 0s - loss: 0.0332
 81/241 [=========>....................] - ETA: 0s - loss: 0.0290
120/241 [=============>................] - ETA: 0s - loss: 0.0262
160/241 [==================>...........] - ETA: 0s - loss: 0.0307
199/241 [=======================>......] - ETA: 0s - loss: 0.0298
239/241 [============================>.] - ETA: 0s - loss: 0.0338
241/241 [==============================] - 0s 1ms/step - loss: 0.0341
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 9.5736e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0420    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0344
121/241 [==============>...............] - ETA: 0s - loss: 0.0334
162/241 [===================>..........] - ETA: 0s - loss: 0.0305
203/241 [========================>.....] - ETA: 0s - loss: 0.0331
241/241 [==============================] - 0s 1ms/step - loss: 0.0324
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0035
 39/241 [===>..........................] - ETA: 0s - loss: 0.0306
 77/241 [========>.....................] - ETA: 0s - loss: 0.0246
117/241 [=============>................] - ETA: 0s - loss: 0.0220
158/241 [==================>...........] - ETA: 0s - loss: 0.0279
199/241 [=======================>......] - ETA: 0s - loss: 0.0273
239/241 [============================>.] - ETA: 0s - loss: 0.0298
241/241 [==============================] - 0s 1ms/step - loss: 0.0300
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.1508
 41/241 [====>.........................] - ETA: 0s - loss: 0.0258
 81/241 [=========>....................] - ETA: 0s - loss: 0.0251
119/241 [=============>................] - ETA: 0s - loss: 0.0237
158/241 [==================>...........] - ETA: 0s - loss: 0.0255
198/241 [=======================>......] - ETA: 0s - loss: 0.0259
238/241 [============================>.] - ETA: 0s - loss: 0.0269
241/241 [==============================] - 0s 1ms/step - loss: 0.0267
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0023
 42/241 [====>.........................] - ETA: 0s - loss: 0.0236
 82/241 [=========>....................] - ETA: 0s - loss: 0.0210
117/241 [=============>................] - ETA: 0s - loss: 0.0241
150/241 [=================>............] - ETA: 0s - loss: 0.0245
183/241 [=====================>........] - ETA: 0s - loss: 0.0251
216/241 [=========================>....] - ETA: 0s - loss: 0.0234
241/241 [==============================] - 0s 1ms/step - loss: 0.0246
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0099
 41/241 [====>.........................] - ETA: 0s - loss: 0.0225
 80/241 [========>.....................] - ETA: 0s - loss: 0.0255
119/241 [=============>................] - ETA: 0s - loss: 0.0246
158/241 [==================>...........] - ETA: 0s - loss: 0.0242
198/241 [=======================>......] - ETA: 0s - loss: 0.0227
239/241 [============================>.] - ETA: 0s - loss: 0.0229
241/241 [==============================] - 0s 1ms/step - loss: 0.0234
-> test with GAN.predict
GAN tn, fp: 594, 9
GAN fn, tp: 9, 22
GAN f1 score: 0.710
GAN cohens kappa score: 0.695

-> test with 'LR'
LR tn, fp: 549, 54
LR fn, tp: 4, 27
LR f1 score: 0.482
LR cohens kappa score: 0.443
LR average precision score: 0.611

-> test with 'RF'
RF tn, fp: 603, 0
RF fn, tp: 8, 23
RF f1 score: 0.852
RF cohens kappa score: 0.845

-> test with 'GB'
GB tn, fp: 600, 3
GB fn, tp: 7, 24
GB f1 score: 0.828
GB cohens kappa score: 0.819

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


------ 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: 52s - loss: 1.6536
 41/241 [====>.........................] - ETA: 0s - loss: 0.3235 
 81/241 [=========>....................] - ETA: 0s - loss: 0.2161
122/241 [==============>...............] - ETA: 0s - loss: 0.1782
134/241 [===============>..............] - ETA: 0s - loss: 0.1818
152/241 [=================>............] - ETA: 0s - loss: 0.1712
193/241 [=======================>......] - ETA: 0s - loss: 0.1616
230/241 [===========================>..] - ETA: 0s - loss: 0.1522
241/241 [==============================] - 1s 2ms/step - loss: 0.1476
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0024
 41/241 [====>.........................] - ETA: 0s - loss: 0.0834
 82/241 [=========>....................] - ETA: 0s - loss: 0.0706
122/241 [==============>...............] - ETA: 0s - loss: 0.0716
163/241 [===================>..........] - ETA: 0s - loss: 0.0632
203/241 [========================>.....] - ETA: 0s - loss: 0.0626
241/241 [==============================] - 0s 1ms/step - loss: 0.0575
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0039
 42/241 [====>.........................] - ETA: 0s - loss: 0.0414
 82/241 [=========>....................] - ETA: 0s - loss: 0.0347
121/241 [==============>...............] - ETA: 0s - loss: 0.0426
162/241 [===================>..........] - ETA: 0s - loss: 0.0411
202/241 [========================>.....] - ETA: 0s - loss: 0.0411
239/241 [============================>.] - ETA: 0s - loss: 0.0414
241/241 [==============================] - 0s 1ms/step - loss: 0.0413
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0012
 40/241 [===>..........................] - ETA: 0s - loss: 0.0389
 79/241 [========>.....................] - ETA: 0s - loss: 0.0463
114/241 [=============>................] - ETA: 0s - loss: 0.0487
150/241 [=================>............] - ETA: 0s - loss: 0.0441
187/241 [======================>.......] - ETA: 0s - loss: 0.0420
227/241 [===========================>..] - ETA: 0s - loss: 0.0407
241/241 [==============================] - 0s 1ms/step - loss: 0.0422
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.1059
 40/241 [===>..........................] - ETA: 0s - loss: 0.0317
 81/241 [=========>....................] - ETA: 0s - loss: 0.0360
121/241 [==============>...............] - ETA: 0s - loss: 0.0363
161/241 [===================>..........] - ETA: 0s - loss: 0.0321
200/241 [=======================>......] - ETA: 0s - loss: 0.0322
234/241 [============================>.] - ETA: 0s - loss: 0.0343
241/241 [==============================] - 0s 1ms/step - loss: 0.0337
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0641
 32/241 [==>...........................] - ETA: 0s - loss: 0.0188
 66/241 [=======>......................] - ETA: 0s - loss: 0.0187
106/241 [============>.................] - ETA: 0s - loss: 0.0205
147/241 [=================>............] - ETA: 0s - loss: 0.0266
187/241 [======================>.......] - ETA: 0s - loss: 0.0286
228/241 [===========================>..] - ETA: 0s - loss: 0.0300
241/241 [==============================] - 0s 1ms/step - loss: 0.0328
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0028
 40/241 [===>..........................] - ETA: 0s - loss: 0.0325
 80/241 [========>.....................] - ETA: 0s - loss: 0.0385
120/241 [=============>................] - ETA: 0s - loss: 0.0308
158/241 [==================>...........] - ETA: 0s - loss: 0.0316
198/241 [=======================>......] - ETA: 0s - loss: 0.0312
238/241 [============================>.] - ETA: 0s - loss: 0.0297
241/241 [==============================] - 0s 1ms/step - loss: 0.0316
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0043
 42/241 [====>.........................] - ETA: 0s - loss: 0.0243
 82/241 [=========>....................] - ETA: 0s - loss: 0.0279
121/241 [==============>...............] - ETA: 0s - loss: 0.0322
162/241 [===================>..........] - ETA: 0s - loss: 0.0314
203/241 [========================>.....] - ETA: 0s - loss: 0.0296
241/241 [==============================] - 0s 1ms/step - loss: 0.0292
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0071
 38/241 [===>..........................] - ETA: 0s - loss: 0.0348
 79/241 [========>.....................] - ETA: 0s - loss: 0.0271
117/241 [=============>................] - ETA: 0s - loss: 0.0219
155/241 [==================>...........] - ETA: 0s - loss: 0.0264
194/241 [=======================>......] - ETA: 0s - loss: 0.0297
232/241 [===========================>..] - ETA: 0s - loss: 0.0278
241/241 [==============================] - 0s 1ms/step - loss: 0.0284
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 6.5228e-04
 40/241 [===>..........................] - ETA: 0s - loss: 0.0179    
 78/241 [========>.....................] - ETA: 0s - loss: 0.0217
119/241 [=============>................] - ETA: 0s - loss: 0.0257
151/241 [=================>............] - ETA: 0s - loss: 0.0269
185/241 [======================>.......] - ETA: 0s - loss: 0.0273
221/241 [==========================>...] - ETA: 0s - loss: 0.0265
241/241 [==============================] - 0s 1ms/step - loss: 0.0254
-> test with GAN.predict
GAN tn, fp: 596, 7
GAN fn, tp: 8, 23
GAN f1 score: 0.754
GAN cohens kappa score: 0.742

-> test with 'LR'
LR tn, fp: 532, 71
LR fn, tp: 2, 29
LR f1 score: 0.443
LR cohens kappa score: 0.398
LR average precision score: 0.549

-> 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: 599, 4
GB fn, tp: 6, 25
GB f1 score: 0.833
GB cohens kappa score: 0.825

-> test with 'KNN'
KNN tn, fp: 590, 13
KNN fn, tp: 14, 17
KNN f1 score: 0.557
KNN cohens kappa score: 0.535


------ 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: 52s - loss: 1.0940
 41/242 [====>.........................] - ETA: 0s - loss: 0.2979 
 78/242 [========>.....................] - ETA: 0s - loss: 0.2524
120/242 [=============>................] - ETA: 0s - loss: 0.2185
160/242 [==================>...........] - ETA: 0s - loss: 0.1978
201/242 [=======================>......] - ETA: 0s - loss: 0.1819
242/242 [==============================] - ETA: 0s - loss: 0.1628
242/242 [==============================] - 1s 1ms/step - loss: 0.1628
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0764
 40/242 [===>..........................] - ETA: 0s - loss: 0.0634
 79/242 [========>.....................] - ETA: 0s - loss: 0.0570
119/242 [=============>................] - ETA: 0s - loss: 0.0635
153/242 [=================>............] - ETA: 0s - loss: 0.0601
185/242 [=====================>........] - ETA: 0s - loss: 0.0636
220/242 [==========================>...] - ETA: 0s - loss: 0.0627
242/242 [==============================] - 0s 1ms/step - loss: 0.0598
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.1662
 41/242 [====>.........................] - ETA: 0s - loss: 0.0435
 80/242 [========>.....................] - ETA: 0s - loss: 0.0400
119/242 [=============>................] - ETA: 0s - loss: 0.0453
159/242 [==================>...........] - ETA: 0s - loss: 0.0484
200/242 [=======================>......] - ETA: 0s - loss: 0.0447
236/242 [============================>.] - ETA: 0s - loss: 0.0429
242/242 [==============================] - 0s 1ms/step - loss: 0.0422
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.0134
 40/242 [===>..........................] - ETA: 0s - loss: 0.0283
 76/242 [========>.....................] - ETA: 0s - loss: 0.0321
112/242 [============>.................] - ETA: 0s - loss: 0.0309
151/242 [=================>............] - ETA: 0s - loss: 0.0286
187/242 [======================>.......] - ETA: 0s - loss: 0.0298
228/242 [===========================>..] - ETA: 0s - loss: 0.0315
242/242 [==============================] - 0s 1ms/step - loss: 0.0349
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 4.1268e-04
 38/242 [===>..........................] - ETA: 0s - loss: 0.0266    
 77/242 [========>.....................] - ETA: 0s - loss: 0.0284
113/242 [=============>................] - ETA: 0s - loss: 0.0293
151/242 [=================>............] - ETA: 0s - loss: 0.0319
190/242 [======================>.......] - ETA: 0s - loss: 0.0327
231/242 [===========================>..] - ETA: 0s - loss: 0.0310
242/242 [==============================] - 0s 1ms/step - loss: 0.0319
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0331
 38/242 [===>..........................] - ETA: 0s - loss: 0.0164
 77/242 [========>.....................] - ETA: 0s - loss: 0.0181
117/242 [=============>................] - ETA: 0s - loss: 0.0231
154/242 [==================>...........] - ETA: 0s - loss: 0.0245
191/242 [======================>.......] - ETA: 0s - loss: 0.0282
228/242 [===========================>..] - ETA: 0s - loss: 0.0299
242/242 [==============================] - 0s 1ms/step - loss: 0.0302
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.0207
 40/242 [===>..........................] - ETA: 0s - loss: 0.0313
 77/242 [========>.....................] - ETA: 0s - loss: 0.0329
117/242 [=============>................] - ETA: 0s - loss: 0.0265
152/242 [=================>............] - ETA: 0s - loss: 0.0284
193/242 [======================>.......] - ETA: 0s - loss: 0.0281
234/242 [============================>.] - ETA: 0s - loss: 0.0304
242/242 [==============================] - 0s 1ms/step - loss: 0.0304
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0032
 37/242 [===>..........................] - ETA: 0s - loss: 0.0197
 76/242 [========>.....................] - ETA: 0s - loss: 0.0243
111/242 [============>.................] - ETA: 0s - loss: 0.0232
152/242 [=================>............] - ETA: 0s - loss: 0.0242
190/242 [======================>.......] - ETA: 0s - loss: 0.0254
228/242 [===========================>..] - ETA: 0s - loss: 0.0272
242/242 [==============================] - 0s 1ms/step - loss: 0.0266
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0018
 35/242 [===>..........................] - ETA: 0s - loss: 0.0213
 71/242 [=======>......................] - ETA: 0s - loss: 0.0263
101/242 [===========>..................] - ETA: 0s - loss: 0.0267
132/242 [===============>..............] - ETA: 0s - loss: 0.0258
171/242 [====================>.........] - ETA: 0s - loss: 0.0241
207/242 [========================>.....] - ETA: 0s - loss: 0.0235
242/242 [==============================] - 0s 1ms/step - loss: 0.0260
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 4.6537e-04
 39/242 [===>..........................] - ETA: 0s - loss: 0.0248    
 75/242 [========>.....................] - ETA: 0s - loss: 0.0286
112/242 [============>.................] - ETA: 0s - loss: 0.0303
147/242 [=================>............] - ETA: 0s - loss: 0.0285
187/242 [======================>.......] - ETA: 0s - loss: 0.0262
226/242 [===========================>..] - ETA: 0s - loss: 0.0258
242/242 [==============================] - 0s 1ms/step - loss: 0.0255
-> test with GAN.predict
GAN tn, fp: 583, 17
GAN fn, tp: 8, 19
GAN f1 score: 0.603
GAN cohens kappa score: 0.583

-> test with 'LR'
LR tn, fp: 545, 55
LR fn, tp: 7, 20
LR f1 score: 0.392
LR cohens kappa score: 0.351
LR average precision score: 0.424

-> test with 'RF'
RF tn, fp: 596, 4
RF fn, tp: 9, 18
RF f1 score: 0.735
RF cohens kappa score: 0.724

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

-> test with 'KNN'
KNN tn, fp: 582, 18
KNN fn, tp: 6, 21
KNN f1 score: 0.636
KNN cohens kappa score: 0.617


====== 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: 53s - loss: 1.4454e-06
 42/241 [====>.........................] - ETA: 0s - loss: 0.3255     
 82/241 [=========>....................] - ETA: 0s - loss: 0.2236
123/241 [==============>...............] - ETA: 0s - loss: 0.1684
164/241 [===================>..........] - ETA: 0s - loss: 0.1589
205/241 [========================>.....] - ETA: 0s - loss: 0.1498
241/241 [==============================] - 1s 1ms/step - loss: 0.1436
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.3240
 41/241 [====>.........................] - ETA: 0s - loss: 0.0714
 82/241 [=========>....................] - ETA: 0s - loss: 0.0552
122/241 [==============>...............] - ETA: 0s - loss: 0.0537
161/241 [===================>..........] - ETA: 0s - loss: 0.0541
202/241 [========================>.....] - ETA: 0s - loss: 0.0584
241/241 [==============================] - 0s 1ms/step - loss: 0.0569
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0275
 42/241 [====>.........................] - ETA: 0s - loss: 0.0294
 82/241 [=========>....................] - ETA: 0s - loss: 0.0328
122/241 [==============>...............] - ETA: 0s - loss: 0.0369
162/241 [===================>..........] - ETA: 0s - loss: 0.0365
200/241 [=======================>......] - ETA: 0s - loss: 0.0357
238/241 [============================>.] - ETA: 0s - loss: 0.0370
241/241 [==============================] - 0s 1ms/step - loss: 0.0371
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0028
 39/241 [===>..........................] - ETA: 0s - loss: 0.0133
 78/241 [========>.....................] - ETA: 0s - loss: 0.0275
117/241 [=============>................] - ETA: 0s - loss: 0.0283
157/241 [==================>...........] - ETA: 0s - loss: 0.0315
195/241 [=======================>......] - ETA: 0s - loss: 0.0344
232/241 [===========================>..] - ETA: 0s - loss: 0.0341
241/241 [==============================] - 0s 1ms/step - loss: 0.0331
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0947
 41/241 [====>.........................] - ETA: 0s - loss: 0.0475
 81/241 [=========>....................] - ETA: 0s - loss: 0.0369
121/241 [==============>...............] - ETA: 0s - loss: 0.0309
155/241 [==================>...........] - ETA: 0s - loss: 0.0290
191/241 [======================>.......] - ETA: 0s - loss: 0.0293
224/241 [==========================>...] - ETA: 0s - loss: 0.0305
241/241 [==============================] - 0s 1ms/step - loss: 0.0292
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0015
 41/241 [====>.........................] - ETA: 0s - loss: 0.0112
 81/241 [=========>....................] - ETA: 0s - loss: 0.0137
119/241 [=============>................] - ETA: 0s - loss: 0.0226
158/241 [==================>...........] - ETA: 0s - loss: 0.0258
195/241 [=======================>......] - ETA: 0s - loss: 0.0277
236/241 [============================>.] - ETA: 0s - loss: 0.0306
241/241 [==============================] - 0s 1ms/step - loss: 0.0306
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0014
 42/241 [====>.........................] - ETA: 0s - loss: 0.0493
 83/241 [=========>....................] - ETA: 0s - loss: 0.0390
123/241 [==============>...............] - ETA: 0s - loss: 0.0410
163/241 [===================>..........] - ETA: 0s - loss: 0.0355
200/241 [=======================>......] - ETA: 0s - loss: 0.0355
239/241 [============================>.] - ETA: 0s - loss: 0.0322
241/241 [==============================] - 0s 1ms/step - loss: 0.0327
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0045
 39/241 [===>..........................] - ETA: 0s - loss: 0.0165
 76/241 [========>.....................] - ETA: 0s - loss: 0.0204
116/241 [=============>................] - ETA: 0s - loss: 0.0252
157/241 [==================>...........] - ETA: 0s - loss: 0.0211
198/241 [=======================>......] - ETA: 0s - loss: 0.0193
237/241 [============================>.] - ETA: 0s - loss: 0.0214
241/241 [==============================] - 0s 1ms/step - loss: 0.0217
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0147
 40/241 [===>..........................] - ETA: 0s - loss: 0.0292
 82/241 [=========>....................] - ETA: 0s - loss: 0.0248
122/241 [==============>...............] - ETA: 0s - loss: 0.0192
162/241 [===================>..........] - ETA: 0s - loss: 0.0175
198/241 [=======================>......] - ETA: 0s - loss: 0.0204
236/241 [============================>.] - ETA: 0s - loss: 0.0208
241/241 [==============================] - 0s 1ms/step - loss: 0.0205
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0498
 36/241 [===>..........................] - ETA: 0s - loss: 0.0158
 76/241 [========>.....................] - ETA: 0s - loss: 0.0168
116/241 [=============>................] - ETA: 0s - loss: 0.0241
156/241 [==================>...........] - ETA: 0s - loss: 0.0245
197/241 [=======================>......] - ETA: 0s - loss: 0.0239
238/241 [============================>.] - ETA: 0s - loss: 0.0228
241/241 [==============================] - 0s 1ms/step - loss: 0.0226
-> test with GAN.predict
GAN tn, fp: 587, 16
GAN fn, tp: 9, 22
GAN f1 score: 0.638
GAN cohens kappa score: 0.617

-> test with 'LR'
LR tn, fp: 546, 57
LR fn, tp: 6, 25
LR f1 score: 0.442
LR cohens kappa score: 0.400
LR average precision score: 0.450

-> 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: 598, 5
GB fn, tp: 6, 25
GB f1 score: 0.820
GB cohens kappa score: 0.811

-> test with 'KNN'
KNN tn, fp: 590, 13
KNN fn, tp: 11, 20
KNN f1 score: 0.625
KNN cohens kappa score: 0.605


------ 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: 0.2012
 43/241 [====>.........................] - ETA: 0s - loss: 0.3104 
 84/241 [=========>....................] - ETA: 0s - loss: 0.2313
122/241 [==============>...............] - ETA: 0s - loss: 0.1868
163/241 [===================>..........] - ETA: 0s - loss: 0.1560
203/241 [========================>.....] - ETA: 0s - loss: 0.1384
241/241 [==============================] - 1s 1ms/step - loss: 0.1246
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.0123
 42/241 [====>.........................] - ETA: 0s - loss: 0.0637
 83/241 [=========>....................] - ETA: 0s - loss: 0.0583
125/241 [==============>...............] - ETA: 0s - loss: 0.0526
165/241 [===================>..........] - ETA: 0s - loss: 0.0509
203/241 [========================>.....] - ETA: 0s - loss: 0.0485
241/241 [==============================] - 0s 1ms/step - loss: 0.0489
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.1180
 42/241 [====>.........................] - ETA: 0s - loss: 0.0217
 85/241 [=========>....................] - ETA: 0s - loss: 0.0261
126/241 [==============>...............] - ETA: 0s - loss: 0.0310
161/241 [===================>..........] - ETA: 0s - loss: 0.0345
202/241 [========================>.....] - ETA: 0s - loss: 0.0369
237/241 [============================>.] - ETA: 0s - loss: 0.0390
241/241 [==============================] - 0s 1ms/step - loss: 0.0390
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0044
 34/241 [===>..........................] - ETA: 0s - loss: 0.0279
 65/241 [=======>......................] - ETA: 0s - loss: 0.0392
102/241 [===========>..................] - ETA: 0s - loss: 0.0403
138/241 [================>.............] - ETA: 0s - loss: 0.0352
180/241 [=====================>........] - ETA: 0s - loss: 0.0346
220/241 [==========================>...] - ETA: 0s - loss: 0.0351
241/241 [==============================] - 0s 1ms/step - loss: 0.0352
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 0.0041
 42/241 [====>.........................] - ETA: 0s - loss: 0.0279
 81/241 [=========>....................] - ETA: 0s - loss: 0.0298
122/241 [==============>...............] - ETA: 0s - loss: 0.0319
163/241 [===================>..........] - ETA: 0s - loss: 0.0304
203/241 [========================>.....] - ETA: 0s - loss: 0.0328
241/241 [==============================] - 0s 1ms/step - loss: 0.0326
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.2373
 42/241 [====>.........................] - ETA: 0s - loss: 0.0357
 83/241 [=========>....................] - ETA: 0s - loss: 0.0338
123/241 [==============>...............] - ETA: 0s - loss: 0.0282
159/241 [==================>...........] - ETA: 0s - loss: 0.0296
196/241 [=======================>......] - ETA: 0s - loss: 0.0278
231/241 [===========================>..] - ETA: 0s - loss: 0.0277
241/241 [==============================] - 0s 1ms/step - loss: 0.0277
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0035
 40/241 [===>..........................] - ETA: 0s - loss: 0.0276
 81/241 [=========>....................] - ETA: 0s - loss: 0.0245
121/241 [==============>...............] - ETA: 0s - loss: 0.0306
161/241 [===================>..........] - ETA: 0s - loss: 0.0301
203/241 [========================>.....] - ETA: 0s - loss: 0.0266
241/241 [==============================] - 0s 1ms/step - loss: 0.0274
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 6.4987e-04
 42/241 [====>.........................] - ETA: 0s - loss: 0.0215    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0196
121/241 [==============>...............] - ETA: 0s - loss: 0.0238
162/241 [===================>..........] - ETA: 0s - loss: 0.0229
203/241 [========================>.....] - ETA: 0s - loss: 0.0247
241/241 [==============================] - 0s 1ms/step - loss: 0.0254
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 0.0374
 42/241 [====>.........................] - ETA: 0s - loss: 0.0212
 83/241 [=========>....................] - ETA: 0s - loss: 0.0244
124/241 [==============>...............] - ETA: 0s - loss: 0.0233
164/241 [===================>..........] - ETA: 0s - loss: 0.0263
206/241 [========================>.....] - ETA: 0s - loss: 0.0256
241/241 [==============================] - 0s 1ms/step - loss: 0.0252
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.1218
 37/241 [===>..........................] - ETA: 0s - loss: 0.0187
 77/241 [========>.....................] - ETA: 0s - loss: 0.0261
116/241 [=============>................] - ETA: 0s - loss: 0.0262
156/241 [==================>...........] - ETA: 0s - loss: 0.0266
196/241 [=======================>......] - ETA: 0s - loss: 0.0261
232/241 [===========================>..] - ETA: 0s - loss: 0.0266
241/241 [==============================] - 0s 1ms/step - loss: 0.0267
-> test with GAN.predict
GAN tn, fp: 593, 10
GAN fn, tp: 12, 19
GAN f1 score: 0.633
GAN cohens kappa score: 0.615

-> test with 'LR'
LR tn, fp: 551, 52
LR fn, tp: 9, 22
LR f1 score: 0.419
LR cohens kappa score: 0.376
LR average precision score: 0.524

-> test with 'RF'
RF tn, fp: 601, 2
RF fn, tp: 9, 22
RF f1 score: 0.800
RF cohens kappa score: 0.791

-> test with 'GB'
GB tn, fp: 598, 5
GB fn, tp: 3, 28
GB f1 score: 0.875
GB cohens kappa score: 0.868

-> test with 'KNN'
KNN tn, fp: 592, 11
KNN fn, tp: 11, 20
KNN f1 score: 0.645
KNN cohens kappa score: 0.627


------ 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: 51s - loss: 0.3412
 42/241 [====>.........................] - ETA: 0s - loss: 0.4166 
 83/241 [=========>....................] - ETA: 0s - loss: 0.2725
124/241 [==============>...............] - ETA: 0s - loss: 0.2095
165/241 [===================>..........] - ETA: 0s - loss: 0.1717
204/241 [========================>.....] - ETA: 0s - loss: 0.1544
241/241 [==============================] - 1s 1ms/step - loss: 0.1412
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 6.9912e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0508    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0646
120/241 [=============>................] - ETA: 0s - loss: 0.0550
159/241 [==================>...........] - ETA: 0s - loss: 0.0505
199/241 [=======================>......] - ETA: 0s - loss: 0.0505
239/241 [============================>.] - ETA: 0s - loss: 0.0479
241/241 [==============================] - 0s 1ms/step - loss: 0.0480
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0737
 39/241 [===>..........................] - ETA: 0s - loss: 0.0378
 78/241 [========>.....................] - ETA: 0s - loss: 0.0362
119/241 [=============>................] - ETA: 0s - loss: 0.0343
160/241 [==================>...........] - ETA: 0s - loss: 0.0380
198/241 [=======================>......] - ETA: 0s - loss: 0.0378
239/241 [============================>.] - ETA: 0s - loss: 0.0382
241/241 [==============================] - 0s 1ms/step - loss: 0.0390
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0860
 43/241 [====>.........................] - ETA: 0s - loss: 0.0255
 83/241 [=========>....................] - ETA: 0s - loss: 0.0247
122/241 [==============>...............] - ETA: 0s - loss: 0.0289
157/241 [==================>...........] - ETA: 0s - loss: 0.0350
189/241 [======================>.......] - ETA: 0s - loss: 0.0347
227/241 [===========================>..] - ETA: 0s - loss: 0.0337
241/241 [==============================] - 0s 1ms/step - loss: 0.0338
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 7.9313e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0315    
 79/241 [========>.....................] - ETA: 0s - loss: 0.0260
118/241 [=============>................] - ETA: 0s - loss: 0.0343
156/241 [==================>...........] - ETA: 0s - loss: 0.0328
195/241 [=======================>......] - ETA: 0s - loss: 0.0306
234/241 [============================>.] - ETA: 0s - loss: 0.0294
241/241 [==============================] - 0s 1ms/step - loss: 0.0292
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.2264
 41/241 [====>.........................] - ETA: 0s - loss: 0.0315
 83/241 [=========>....................] - ETA: 0s - loss: 0.0294
124/241 [==============>...............] - ETA: 0s - loss: 0.0274
165/241 [===================>..........] - ETA: 0s - loss: 0.0283
207/241 [========================>.....] - ETA: 0s - loss: 0.0266
241/241 [==============================] - 0s 1ms/step - loss: 0.0269
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0518
 42/241 [====>.........................] - ETA: 0s - loss: 0.0292
 84/241 [=========>....................] - ETA: 0s - loss: 0.0249
124/241 [==============>...............] - ETA: 0s - loss: 0.0234
164/241 [===================>..........] - ETA: 0s - loss: 0.0203
204/241 [========================>.....] - ETA: 0s - loss: 0.0267
238/241 [============================>.] - ETA: 0s - loss: 0.0259
241/241 [==============================] - 0s 1ms/step - loss: 0.0261
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0420
 41/241 [====>.........................] - ETA: 0s - loss: 0.0259
 73/241 [========>.....................] - ETA: 0s - loss: 0.0245
105/241 [============>.................] - ETA: 0s - loss: 0.0231
146/241 [=================>............] - ETA: 0s - loss: 0.0254
185/241 [======================>.......] - ETA: 0s - loss: 0.0235
224/241 [==========================>...] - ETA: 0s - loss: 0.0232
241/241 [==============================] - 0s 1ms/step - loss: 0.0232
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 5.4857e-04
 42/241 [====>.........................] - ETA: 0s - loss: 0.0270    
 83/241 [=========>....................] - ETA: 0s - loss: 0.0230
120/241 [=============>................] - ETA: 0s - loss: 0.0211
161/241 [===================>..........] - ETA: 0s - loss: 0.0211
202/241 [========================>.....] - ETA: 0s - loss: 0.0205
241/241 [==============================] - 0s 1ms/step - loss: 0.0208
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 5.2744e-04
 40/241 [===>..........................] - ETA: 0s - loss: 0.0159    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0203
122/241 [==============>...............] - ETA: 0s - loss: 0.0207
162/241 [===================>..........] - ETA: 0s - loss: 0.0205
199/241 [=======================>......] - ETA: 0s - loss: 0.0205
239/241 [============================>.] - ETA: 0s - loss: 0.0201
241/241 [==============================] - 0s 1ms/step - loss: 0.0205
-> 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: 532, 71
LR fn, tp: 3, 28
LR f1 score: 0.431
LR cohens kappa score: 0.385
LR average precision score: 0.565

-> test with 'RF'
RF tn, fp: 599, 4
RF fn, tp: 11, 20
RF f1 score: 0.727
RF cohens kappa score: 0.715

-> test with 'GB'
GB tn, fp: 595, 8
GB fn, tp: 11, 20
GB f1 score: 0.678
GB cohens kappa score: 0.662

-> test with 'KNN'
KNN tn, fp: 591, 12
KNN fn, tp: 12, 19
KNN f1 score: 0.613
KNN cohens kappa score: 0.593


------ 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: 53s - loss: 3.2002
 41/241 [====>.........................] - ETA: 0s - loss: 0.5212 
 82/241 [=========>....................] - ETA: 0s - loss: 0.3276
123/241 [==============>...............] - ETA: 0s - loss: 0.2499
163/241 [===================>..........] - ETA: 0s - loss: 0.2127
203/241 [========================>.....] - ETA: 0s - loss: 0.1838
241/241 [==============================] - 1s 1ms/step - loss: 0.1640
Epoch 2/10

  1/241 [..............................] - ETA: 0s - loss: 0.2212
 42/241 [====>.........................] - ETA: 0s - loss: 0.0725
 83/241 [=========>....................] - ETA: 0s - loss: 0.0690
124/241 [==============>...............] - ETA: 0s - loss: 0.0662
165/241 [===================>..........] - ETA: 0s - loss: 0.0590
202/241 [========================>.....] - ETA: 0s - loss: 0.0639
241/241 [==============================] - 0s 1ms/step - loss: 0.0628
Epoch 3/10

  1/241 [..............................] - ETA: 0s - loss: 0.0348
 42/241 [====>.........................] - ETA: 0s - loss: 0.0537
 81/241 [=========>....................] - ETA: 0s - loss: 0.0564
122/241 [==============>...............] - ETA: 0s - loss: 0.0520
161/241 [===================>..........] - ETA: 0s - loss: 0.0492
201/241 [========================>.....] - ETA: 0s - loss: 0.0528
241/241 [==============================] - ETA: 0s - loss: 0.0504
241/241 [==============================] - 0s 1ms/step - loss: 0.0504
Epoch 4/10

  1/241 [..............................] - ETA: 0s - loss: 0.0303
 41/241 [====>.........................] - ETA: 0s - loss: 0.0238
 77/241 [========>.....................] - ETA: 0s - loss: 0.0378
118/241 [=============>................] - ETA: 0s - loss: 0.0419
156/241 [==================>...........] - ETA: 0s - loss: 0.0413
194/241 [=======================>......] - ETA: 0s - loss: 0.0424
234/241 [============================>.] - ETA: 0s - loss: 0.0432
241/241 [==============================] - 0s 1ms/step - loss: 0.0430
Epoch 5/10

  1/241 [..............................] - ETA: 0s - loss: 7.7752e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0236    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0334
122/241 [==============>...............] - ETA: 0s - loss: 0.0313
162/241 [===================>..........] - ETA: 0s - loss: 0.0328
200/241 [=======================>......] - ETA: 0s - loss: 0.0352
240/241 [============================>.] - ETA: 0s - loss: 0.0361
241/241 [==============================] - 0s 1ms/step - loss: 0.0360
Epoch 6/10

  1/241 [..............................] - ETA: 0s - loss: 0.0418
 42/241 [====>.........................] - ETA: 0s - loss: 0.0246
 80/241 [========>.....................] - ETA: 0s - loss: 0.0224
120/241 [=============>................] - ETA: 0s - loss: 0.0286
161/241 [===================>..........] - ETA: 0s - loss: 0.0344
198/241 [=======================>......] - ETA: 0s - loss: 0.0368
236/241 [============================>.] - ETA: 0s - loss: 0.0359
241/241 [==============================] - 0s 1ms/step - loss: 0.0365
Epoch 7/10

  1/241 [..............................] - ETA: 0s - loss: 0.0136
 34/241 [===>..........................] - ETA: 0s - loss: 0.0157
 68/241 [=======>......................] - ETA: 0s - loss: 0.0150
107/241 [============>.................] - ETA: 0s - loss: 0.0202
147/241 [=================>............] - ETA: 0s - loss: 0.0219
187/241 [======================>.......] - ETA: 0s - loss: 0.0262
228/241 [===========================>..] - ETA: 0s - loss: 0.0291
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
Epoch 8/10

  1/241 [..............................] - ETA: 0s - loss: 0.0030
 42/241 [====>.........................] - ETA: 0s - loss: 0.0258
 83/241 [=========>....................] - ETA: 0s - loss: 0.0297
124/241 [==============>...............] - ETA: 0s - loss: 0.0256
166/241 [===================>..........] - ETA: 0s - loss: 0.0319
207/241 [========================>.....] - ETA: 0s - loss: 0.0334
241/241 [==============================] - 0s 1ms/step - loss: 0.0328
Epoch 9/10

  1/241 [..............................] - ETA: 0s - loss: 1.0557e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0275    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0297
120/241 [=============>................] - ETA: 0s - loss: 0.0278
162/241 [===================>..........] - ETA: 0s - loss: 0.0325
202/241 [========================>.....] - ETA: 0s - loss: 0.0305
241/241 [==============================] - 0s 1ms/step - loss: 0.0285
Epoch 10/10

  1/241 [..............................] - ETA: 0s - loss: 0.0856
 41/241 [====>.........................] - ETA: 0s - loss: 0.0177
 79/241 [========>.....................] - ETA: 0s - loss: 0.0210
116/241 [=============>................] - ETA: 0s - loss: 0.0219
157/241 [==================>...........] - ETA: 0s - loss: 0.0225
195/241 [=======================>......] - ETA: 0s - loss: 0.0262
227/241 [===========================>..] - ETA: 0s - loss: 0.0286
241/241 [==============================] - 0s 1ms/step - loss: 0.0281
-> test with GAN.predict
GAN tn, fp: 594, 9
GAN fn, tp: 6, 25
GAN f1 score: 0.769
GAN cohens kappa score: 0.757

-> test with 'LR'
LR tn, fp: 546, 57
LR fn, tp: 6, 25
LR f1 score: 0.442
LR cohens kappa score: 0.400
LR average precision score: 0.481

-> 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: 597, 6
GB fn, tp: 3, 28
GB f1 score: 0.862
GB cohens kappa score: 0.854

-> test with 'KNN'
KNN tn, fp: 588, 15
KNN fn, tp: 7, 24
KNN f1 score: 0.686
KNN cohens kappa score: 0.668


------ 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: 53s - loss: 1.5694e-05
 43/242 [====>.........................] - ETA: 0s - loss: 0.6265     
 83/242 [=========>....................] - ETA: 0s - loss: 0.3735
124/242 [==============>...............] - ETA: 0s - loss: 0.2805
165/242 [===================>..........] - ETA: 0s - loss: 0.2426
206/242 [========================>.....] - ETA: 0s - loss: 0.2228
242/242 [==============================] - 1s 1ms/step - loss: 0.2042
Epoch 2/10

  1/242 [..............................] - ETA: 0s - loss: 0.0033
 40/242 [===>..........................] - ETA: 0s - loss: 0.0614
 80/242 [========>.....................] - ETA: 0s - loss: 0.0634
121/242 [==============>...............] - ETA: 0s - loss: 0.0626
161/242 [==================>...........] - ETA: 0s - loss: 0.0610
201/242 [=======================>......] - ETA: 0s - loss: 0.0663
239/242 [============================>.] - ETA: 0s - loss: 0.0640
242/242 [==============================] - 0s 1ms/step - loss: 0.0636
Epoch 3/10

  1/242 [..............................] - ETA: 0s - loss: 0.0298
 42/242 [====>.........................] - ETA: 0s - loss: 0.0430
 82/242 [=========>....................] - ETA: 0s - loss: 0.0418
124/242 [==============>...............] - ETA: 0s - loss: 0.0513
164/242 [===================>..........] - ETA: 0s - loss: 0.0512
203/242 [========================>.....] - ETA: 0s - loss: 0.0525
240/242 [============================>.] - ETA: 0s - loss: 0.0503
242/242 [==============================] - 0s 1ms/step - loss: 0.0502
Epoch 4/10

  1/242 [..............................] - ETA: 0s - loss: 0.0306
 41/242 [====>.........................] - ETA: 0s - loss: 0.0453
 80/242 [========>.....................] - ETA: 0s - loss: 0.0424
121/242 [==============>...............] - ETA: 0s - loss: 0.0441
161/242 [==================>...........] - ETA: 0s - loss: 0.0437
202/242 [========================>.....] - ETA: 0s - loss: 0.0480
240/242 [============================>.] - ETA: 0s - loss: 0.0477
242/242 [==============================] - 0s 1ms/step - loss: 0.0475
Epoch 5/10

  1/242 [..............................] - ETA: 0s - loss: 0.0395
 41/242 [====>.........................] - ETA: 0s - loss: 0.0331
 82/242 [=========>....................] - ETA: 0s - loss: 0.0391
123/242 [==============>...............] - ETA: 0s - loss: 0.0451
162/242 [===================>..........] - ETA: 0s - loss: 0.0461
195/242 [=======================>......] - ETA: 0s - loss: 0.0436
230/242 [===========================>..] - ETA: 0s - loss: 0.0429
242/242 [==============================] - 0s 1ms/step - loss: 0.0426
Epoch 6/10

  1/242 [..............................] - ETA: 0s - loss: 0.0067
 36/242 [===>..........................] - ETA: 0s - loss: 0.0350
 70/242 [=======>......................] - ETA: 0s - loss: 0.0340
110/242 [============>.................] - ETA: 0s - loss: 0.0388
149/242 [=================>............] - ETA: 0s - loss: 0.0402
189/242 [======================>.......] - ETA: 0s - loss: 0.0403
229/242 [===========================>..] - ETA: 0s - loss: 0.0394
242/242 [==============================] - 0s 1ms/step - loss: 0.0384
Epoch 7/10

  1/242 [..............................] - ETA: 0s - loss: 0.0035
 41/242 [====>.........................] - ETA: 0s - loss: 0.0386
 83/242 [=========>....................] - ETA: 0s - loss: 0.0366
124/242 [==============>...............] - ETA: 0s - loss: 0.0370
165/242 [===================>..........] - ETA: 0s - loss: 0.0355
205/242 [========================>.....] - ETA: 0s - loss: 0.0348
242/242 [==============================] - 0s 1ms/step - loss: 0.0357
Epoch 8/10

  1/242 [..............................] - ETA: 0s - loss: 0.0305
 42/242 [====>.........................] - ETA: 0s - loss: 0.0280
 83/242 [=========>....................] - ETA: 0s - loss: 0.0305
124/242 [==============>...............] - ETA: 0s - loss: 0.0331
165/242 [===================>..........] - ETA: 0s - loss: 0.0332
207/242 [========================>.....] - ETA: 0s - loss: 0.0331
242/242 [==============================] - 0s 1ms/step - loss: 0.0344
Epoch 9/10

  1/242 [..............................] - ETA: 0s - loss: 0.0639
 41/242 [====>.........................] - ETA: 0s - loss: 0.0320
 81/242 [=========>....................] - ETA: 0s - loss: 0.0286
120/242 [=============>................] - ETA: 0s - loss: 0.0351
159/242 [==================>...........] - ETA: 0s - loss: 0.0333
199/242 [=======================>......] - ETA: 0s - loss: 0.0324
239/242 [============================>.] - ETA: 0s - loss: 0.0322
242/242 [==============================] - 0s 1ms/step - loss: 0.0320
Epoch 10/10

  1/242 [..............................] - ETA: 0s - loss: 0.0406
 38/242 [===>..........................] - ETA: 0s - loss: 0.0227
 78/242 [========>.....................] - ETA: 0s - loss: 0.0303
117/242 [=============>................] - ETA: 0s - loss: 0.0297
156/242 [==================>...........] - ETA: 0s - loss: 0.0299
196/242 [=======================>......] - ETA: 0s - loss: 0.0314
236/242 [============================>.] - ETA: 0s - loss: 0.0327
242/242 [==============================] - 0s 1ms/step - loss: 0.0325
-> test with GAN.predict
GAN tn, fp: 592, 8
GAN fn, tp: 7, 20
GAN f1 score: 0.727
GAN cohens kappa score: 0.715

-> test with 'LR'
LR tn, fp: 537, 63
LR fn, tp: 5, 22
LR f1 score: 0.393
LR cohens kappa score: 0.350
LR average precision score: 0.337

-> test with 'RF'
RF tn, fp: 595, 5
RF fn, tp: 10, 17
RF f1 score: 0.694
RF cohens kappa score: 0.682

-> test with 'GB'
GB tn, fp: 593, 7
GB fn, tp: 6, 21
GB f1 score: 0.764
GB cohens kappa score: 0.753

-> test with 'KNN'
KNN tn, fp: 586, 14
KNN fn, tp: 8, 19
KNN f1 score: 0.633
KNN cohens kappa score: 0.615

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 561, 77
LR fn, tp: 11, 30
LR f1 score: 0.482
LR cohens kappa score: 0.443
LR average precision score: 0.611


average:
LR tn, fp: 542.44, 59.96
LR fn, tp: 5.64, 24.56
LR f1 score: 0.429
LR cohens kappa score: 0.386
LR average precision score: 0.473


minimum:
LR tn, fp: 523, 42
LR fn, tp: 1, 20
LR f1 score: 0.364
LR cohens kappa score: 0.314
LR average precision score: 0.315


-----[ RF ]-----
maximum:
RF tn, fp: 603, 8
RF fn, tp: 14, 28
RF f1 score: 0.868
RF cohens kappa score: 0.862


average:
RF tn, fp: 598.6, 3.8
RF fn, tp: 7.64, 22.56
RF f1 score: 0.796
RF cohens kappa score: 0.786


minimum:
RF tn, fp: 595, 0
RF fn, tp: 3, 17
RF f1 score: 0.680
RF cohens kappa score: 0.668


-----[ GB ]-----
maximum:
GB tn, fp: 603, 11
GB fn, tp: 11, 28
GB f1 score: 0.929
GB cohens kappa score: 0.925


average:
GB tn, fp: 596.4, 6.0
GB fn, tp: 5.28, 24.92
GB f1 score: 0.815
GB cohens kappa score: 0.806


minimum:
GB tn, fp: 592, 0
GB fn, tp: 1, 20
GB f1 score: 0.678
GB cohens kappa score: 0.662


-----[ KNN ]-----
maximum:
KNN tn, fp: 598, 21
KNN fn, tp: 21, 24
KNN f1 score: 0.807
KNN cohens kappa score: 0.798


average:
KNN tn, fp: 590.64, 11.76
KNN fn, tp: 10.12, 20.08
KNN f1 score: 0.646
KNN cohens kappa score: 0.628


minimum:
KNN tn, fp: 582, 5
KNN fn, tp: 4, 10
KNN f1 score: 0.435
KNN cohens kappa score: 0.416


-----[ GAN ]-----
maximum:
GAN tn, fp: 600, 17
GAN fn, tp: 15, 25
GAN f1 score: 0.787
GAN cohens kappa score: 0.776


average:
GAN tn, fp: 591.56, 10.84
GAN fn, tp: 8.6, 21.6
GAN f1 score: 0.690
GAN cohens kappa score: 0.674


minimum:
GAN tn, fp: 583, 3
GAN fn, tp: 2, 16
GAN f1 score: 0.603
GAN cohens kappa score: 0.583