ConvGeNBenchmarkResults/data_result/convGAN-proximity-full/folding_kr-vs-k-zero-one_vs_draw.log

///////////////////////////////////////////
// Running convGAN-proximary-full on folding_kr-vs-k-zero-one_vs_draw
///////////////////////////////////////////

Load 'data_input/folding_kr-vs-k-zero-one_vs_draw'
from pickle file
Data loaded.
-> Shuffling data
### Start exercise for synthetic point generator

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

------ Step 1/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 39s - loss: 2.2828e-12
 43/224 [====>.........................] - ETA: 0s - loss: 0.0156     
 84/224 [==========>...................] - ETA: 0s - loss: 0.0229
124/224 [===============>..............] - ETA: 0s - loss: 0.0185
165/224 [=====================>........] - ETA: 0s - loss: 0.0142
205/224 [==========================>...] - ETA: 0s - loss: 0.0156
224/224 [==============================] - 0s 1ms/step - loss: 0.0170
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 4.3899e-04
 39/224 [====>.........................] - ETA: 0s - loss: 0.0032    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0065
119/224 [==============>...............] - ETA: 0s - loss: 0.0043
160/224 [====================>.........] - ETA: 0s - loss: 0.0062
202/224 [==========================>...] - ETA: 0s - loss: 0.0057
224/224 [==============================] - 0s 1ms/step - loss: 0.0054
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.6883e-07
 42/224 [====>.........................] - ETA: 0s - loss: 3.6682e-04
 84/224 [==========>...................] - ETA: 0s - loss: 0.0020    
125/224 [===============>..............] - ETA: 0s - loss: 0.0015
166/224 [=====================>........] - ETA: 0s - loss: 0.0020
207/224 [==========================>...] - ETA: 0s - loss: 0.0027
224/224 [==============================] - 0s 1ms/step - loss: 0.0026
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 3.2778e-05
 42/224 [====>.........................] - ETA: 0s - loss: 9.5430e-05
 81/224 [=========>....................] - ETA: 0s - loss: 0.0020    
120/224 [===============>..............] - ETA: 0s - loss: 0.0018
161/224 [====================>.........] - ETA: 0s - loss: 0.0015
202/224 [==========================>...] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0024
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 1.9310e-06
 40/224 [====>.........................] - ETA: 0s - loss: 0.0010    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0020
121/224 [===============>..............] - ETA: 0s - loss: 0.0023
164/224 [====================>.........] - ETA: 0s - loss: 0.0020
205/224 [==========================>...] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 1.2648e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0028    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0029
118/224 [==============>...............] - ETA: 0s - loss: 0.0038
159/224 [====================>.........] - ETA: 0s - loss: 0.0030
201/224 [=========================>....] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 3.9143e-10
 39/224 [====>.........................] - ETA: 0s - loss: 0.0055    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0030
118/224 [==============>...............] - ETA: 0s - loss: 0.0020
160/224 [====================>.........] - ETA: 0s - loss: 0.0024
198/224 [=========================>....] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 4.8791e-07
 37/224 [===>..........................] - ETA: 0s - loss: 5.5751e-05
 75/224 [=========>....................] - ETA: 0s - loss: 0.0019    
116/224 [==============>...............] - ETA: 0s - loss: 0.0019
156/224 [===================>..........] - ETA: 0s - loss: 0.0015
197/224 [=========================>....] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 0.0017
 41/224 [====>.........................] - ETA: 0s - loss: 4.4568e-05
 80/224 [=========>....................] - ETA: 0s - loss: 2.5087e-05
119/224 [==============>...............] - ETA: 0s - loss: 0.0021    
159/224 [====================>.........] - ETA: 0s - loss: 0.0019
200/224 [=========================>....] - ETA: 0s - loss: 0.0021
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 4.7199e-12
 41/224 [====>.........................] - ETA: 0s - loss: 2.5180e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0066    
122/224 [===============>..............] - ETA: 0s - loss: 0.0083
162/224 [====================>.........] - ETA: 0s - loss: 0.0063
202/224 [==========================>...] - ETA: 0s - loss: 0.0051
224/224 [==============================] - 0s 1ms/step - loss: 0.0046
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 5, 16
GAN f1 score: 0.865
GAN cohens kappa score: 0.861

-> test with 'LR'
LR tn, fp: 554, 6
LR fn, tp: 2, 19
LR f1 score: 0.826
LR cohens kappa score: 0.819
LR average precision score: 0.872

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 4, 17
RF f1 score: 0.895
RF cohens kappa score: 0.891

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 2, 19
GB f1 score: 0.950
GB cohens kappa score: 0.948

-> test with 'KNN'
KNN tn, fp: 553, 7
KNN fn, tp: 2, 19
KNN f1 score: 0.809
KNN cohens kappa score: 0.801


------ Step 1/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 34s - loss: 9.8375e-08
 43/224 [====>.........................] - ETA: 0s - loss: 0.0902     
 86/224 [==========>...................] - ETA: 0s - loss: 0.0789
128/224 [================>.............] - ETA: 0s - loss: 0.0636
168/224 [=====================>........] - ETA: 0s - loss: 0.0635
209/224 [==========================>...] - ETA: 0s - loss: 0.0545
224/224 [==============================] - 0s 1ms/step - loss: 0.0517
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 1.1494e-06
 43/224 [====>.........................] - ETA: 0s - loss: 0.0416    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0312
125/224 [===============>..............] - ETA: 0s - loss: 0.0217
169/224 [=====================>........] - ETA: 0s - loss: 0.0203
210/224 [===========================>..] - ETA: 0s - loss: 0.0213
224/224 [==============================] - 0s 1ms/step - loss: 0.0205
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 0.0012
 41/224 [====>.........................] - ETA: 0s - loss: 0.0125
 80/224 [=========>....................] - ETA: 0s - loss: 0.0239
120/224 [===============>..............] - ETA: 0s - loss: 0.0199
160/224 [====================>.........] - ETA: 0s - loss: 0.0153
200/224 [=========================>....] - ETA: 0s - loss: 0.0154
224/224 [==============================] - 0s 1ms/step - loss: 0.0142
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 0.0231
 43/224 [====>.........................] - ETA: 0s - loss: 0.0043
 85/224 [==========>...................] - ETA: 0s - loss: 0.0108
127/224 [================>.............] - ETA: 0s - loss: 0.0078
169/224 [=====================>........] - ETA: 0s - loss: 0.0123
211/224 [===========================>..] - ETA: 0s - loss: 0.0118
224/224 [==============================] - 0s 1ms/step - loss: 0.0112
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 1.2103e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0081    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0118
126/224 [===============>..............] - ETA: 0s - loss: 0.0086
167/224 [=====================>........] - ETA: 0s - loss: 0.0116
208/224 [==========================>...] - ETA: 0s - loss: 0.0097
224/224 [==============================] - 0s 1ms/step - loss: 0.0092
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 0.0013
 34/224 [===>..........................] - ETA: 0s - loss: 0.0111
 69/224 [========>.....................] - ETA: 0s - loss: 0.0064
102/224 [============>.................] - ETA: 0s - loss: 0.0049
143/224 [==================>...........] - ETA: 0s - loss: 0.0091
183/224 [=======================>......] - ETA: 0s - loss: 0.0079
224/224 [==============================] - ETA: 0s - loss: 0.0077
224/224 [==============================] - 0s 1ms/step - loss: 0.0077
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0012
 42/224 [====>.........................] - ETA: 0s - loss: 0.0013
 81/224 [=========>....................] - ETA: 0s - loss: 0.0085
123/224 [===============>..............] - ETA: 0s - loss: 0.0073
163/224 [====================>.........] - ETA: 0s - loss: 0.0069
203/224 [==========================>...] - ETA: 0s - loss: 0.0070
224/224 [==============================] - 0s 1ms/step - loss: 0.0065
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 9.7396e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0051    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0082
125/224 [===============>..............] - ETA: 0s - loss: 0.0061
165/224 [=====================>........] - ETA: 0s - loss: 0.0049
204/224 [==========================>...] - ETA: 0s - loss: 0.0054
224/224 [==============================] - 0s 1ms/step - loss: 0.0058
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.4737e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0055    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0034
123/224 [===============>..............] - ETA: 0s - loss: 0.0054
161/224 [====================>.........] - ETA: 0s - loss: 0.0058
197/224 [=========================>....] - ETA: 0s - loss: 0.0049
224/224 [==============================] - 0s 1ms/step - loss: 0.0049
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 3.5296e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0072    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0084
124/224 [===============>..............] - ETA: 0s - loss: 0.0061
165/224 [=====================>........] - ETA: 0s - loss: 0.0049
204/224 [==========================>...] - ETA: 0s - loss: 0.0043
224/224 [==============================] - 0s 1ms/step - loss: 0.0042
-> test with GAN.predict
GAN tn, fp: 559, 1
GAN fn, tp: 0, 21
GAN f1 score: 0.977
GAN cohens kappa score: 0.976

-> test with 'LR'
LR tn, fp: 550, 10
LR fn, tp: 0, 21
LR f1 score: 0.808
LR cohens kappa score: 0.799
LR average precision score: 0.947

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 0, 21
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 1, 20
GB f1 score: 0.976
GB cohens kappa score: 0.975

-> test with 'KNN'
KNN tn, fp: 557, 3
KNN fn, tp: 0, 21
KNN f1 score: 0.933
KNN cohens kappa score: 0.931


------ Step 1/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 37s - loss: 2.0472e-07
 36/224 [===>..........................] - ETA: 0s - loss: 0.1190     
 74/224 [========>.....................] - ETA: 0s - loss: 0.0607
111/224 [=============>................] - ETA: 0s - loss: 0.0435
131/224 [================>.............] - ETA: 0s - loss: 0.0411
163/224 [====================>.........] - ETA: 0s - loss: 0.0438
200/224 [=========================>....] - ETA: 0s - loss: 0.0378
224/224 [==============================] - 1s 2ms/step - loss: 0.0349
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 8.7978e-08
 37/224 [===>..........................] - ETA: 0s - loss: 0.0033    
 72/224 [========>.....................] - ETA: 0s - loss: 0.0120
109/224 [=============>................] - ETA: 0s - loss: 0.0100
147/224 [==================>...........] - ETA: 0s - loss: 0.0078
185/224 [=======================>......] - ETA: 0s - loss: 0.0176
219/224 [============================>.] - ETA: 0s - loss: 0.0171
224/224 [==============================] - 0s 1ms/step - loss: 0.0169
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 2.5536e-06
 39/224 [====>.........................] - ETA: 0s - loss: 0.0460    
 76/224 [=========>....................] - ETA: 0s - loss: 0.0267
112/224 [==============>...............] - ETA: 0s - loss: 0.0193
149/224 [==================>...........] - ETA: 0s - loss: 0.0147
188/224 [========================>.....] - ETA: 0s - loss: 0.0139
224/224 [==============================] - 0s 1ms/step - loss: 0.0119
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 7.8091e-08
 38/224 [====>.........................] - ETA: 0s - loss: 8.4888e-04
 73/224 [========>.....................] - ETA: 0s - loss: 0.0119    
109/224 [=============>................] - ETA: 0s - loss: 0.0080
143/224 [==================>...........] - ETA: 0s - loss: 0.0069
178/224 [======================>.......] - ETA: 0s - loss: 0.0091
214/224 [===========================>..] - ETA: 0s - loss: 0.0077
224/224 [==============================] - 0s 1ms/step - loss: 0.0087
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 0.0017
 37/224 [===>..........................] - ETA: 0s - loss: 9.7005e-04
 70/224 [========>.....................] - ETA: 0s - loss: 7.0066e-04
107/224 [=============>................] - ETA: 0s - loss: 0.0059    
142/224 [==================>...........] - ETA: 0s - loss: 0.0089
178/224 [======================>.......] - ETA: 0s - loss: 0.0092
210/224 [===========================>..] - ETA: 0s - loss: 0.0078
224/224 [==============================] - 0s 1ms/step - loss: 0.0074
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 2.5848e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0010    
 73/224 [========>.....................] - ETA: 0s - loss: 9.9002e-04
106/224 [=============>................] - ETA: 0s - loss: 8.7816e-04
141/224 [=================>............] - ETA: 0s - loss: 0.0089    
178/224 [======================>.......] - ETA: 0s - loss: 0.0080
213/224 [===========================>..] - ETA: 0s - loss: 0.0070
224/224 [==============================] - 0s 1ms/step - loss: 0.0069
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 2.5176e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0036
114/224 [==============>...............] - ETA: 0s - loss: 0.0027
150/224 [===================>..........] - ETA: 0s - loss: 0.0022
185/224 [=======================>......] - ETA: 0s - loss: 0.0018
218/224 [============================>.] - ETA: 0s - loss: 0.0048
224/224 [==============================] - 0s 1ms/step - loss: 0.0048
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 5.3173e-06
 32/224 [===>..........................] - ETA: 0s - loss: 0.0078    
 66/224 [=======>......................] - ETA: 0s - loss: 0.0045
102/224 [============>.................] - ETA: 0s - loss: 0.0044
137/224 [=================>............] - ETA: 0s - loss: 0.0036
172/224 [======================>.......] - ETA: 0s - loss: 0.0044
210/224 [===========================>..] - ETA: 0s - loss: 0.0037
224/224 [==============================] - 0s 1ms/step - loss: 0.0036
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 0.0016
 36/224 [===>..........................] - ETA: 0s - loss: 5.4891e-04
 74/224 [========>.....................] - ETA: 0s - loss: 3.5814e-04
111/224 [=============>................] - ETA: 0s - loss: 0.0025    
147/224 [==================>...........] - ETA: 0s - loss: 0.0020
183/224 [=======================>......] - ETA: 0s - loss: 0.0023
219/224 [============================>.] - ETA: 0s - loss: 0.0026
224/224 [==============================] - 0s 1ms/step - loss: 0.0026
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 3.6640e-04
 38/224 [====>.........................] - ETA: 0s - loss: 9.3236e-04
 73/224 [========>.....................] - ETA: 0s - loss: 7.3114e-04
109/224 [=============>................] - ETA: 0s - loss: 0.0023    
146/224 [==================>...........] - ETA: 0s - loss: 0.0020
181/224 [=======================>......] - ETA: 0s - loss: 0.0024
215/224 [===========================>..] - ETA: 0s - loss: 0.0022
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
-> test with GAN.predict
GAN tn, fp: 556, 4
GAN fn, tp: 2, 19
GAN f1 score: 0.864
GAN cohens kappa score: 0.858

-> test with 'LR'
LR tn, fp: 543, 17
LR fn, tp: 0, 21
LR f1 score: 0.712
LR cohens kappa score: 0.698
LR average precision score: 0.903

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 2, 19
RF f1 score: 0.950
RF cohens kappa score: 0.948

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 1, 20
GB f1 score: 0.976
GB cohens kappa score: 0.975

-> test with 'KNN'
KNN tn, fp: 551, 9
KNN fn, tp: 0, 21
KNN f1 score: 0.824
KNN cohens kappa score: 0.816


------ Step 1/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 38s - loss: 1.5380e-10
 41/224 [====>.........................] - ETA: 0s - loss: 0.0587     
 81/224 [=========>....................] - ETA: 0s - loss: 0.0424
122/224 [===============>..............] - ETA: 0s - loss: 0.0498
163/224 [====================>.........] - ETA: 0s - loss: 0.0495
202/224 [==========================>...] - ETA: 0s - loss: 0.0463
224/224 [==============================] - 0s 1ms/step - loss: 0.0432
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 5.4321e-06
 37/224 [===>..........................] - ETA: 0s - loss: 0.0386    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0206
117/224 [==============>...............] - ETA: 0s - loss: 0.0194
158/224 [====================>.........] - ETA: 0s - loss: 0.0201
200/224 [=========================>....] - ETA: 0s - loss: 0.0161
224/224 [==============================] - 0s 1ms/step - loss: 0.0194
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 0.0039
 40/224 [====>.........................] - ETA: 0s - loss: 0.0035
 81/224 [=========>....................] - ETA: 0s - loss: 0.0020
121/224 [===============>..............] - ETA: 0s - loss: 0.0073
163/224 [====================>.........] - ETA: 0s - loss: 0.0137
204/224 [==========================>...] - ETA: 0s - loss: 0.0115
224/224 [==============================] - 0s 1ms/step - loss: 0.0134
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 0.0010
 42/224 [====>.........................] - ETA: 0s - loss: 0.0011
 83/224 [==========>...................] - ETA: 0s - loss: 0.0067
123/224 [===============>..............] - ETA: 0s - loss: 0.0132
164/224 [====================>.........] - ETA: 0s - loss: 0.0102
198/224 [=========================>....] - ETA: 0s - loss: 0.0102
224/224 [==============================] - 0s 1ms/step - loss: 0.0093
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 5.8475e-04
 34/224 [===>..........................] - ETA: 0s - loss: 0.0152    
 73/224 [========>.....................] - ETA: 0s - loss: 0.0098
110/224 [=============>................] - ETA: 0s - loss: 0.0068
149/224 [==================>...........] - ETA: 0s - loss: 0.0051
187/224 [========================>.....] - ETA: 0s - loss: 0.0058
224/224 [==============================] - 0s 1ms/step - loss: 0.0070
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 7.7976e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0017    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0026
124/224 [===============>..............] - ETA: 0s - loss: 0.0039
165/224 [=====================>........] - ETA: 0s - loss: 0.0061
206/224 [==========================>...] - ETA: 0s - loss: 0.0059
224/224 [==============================] - 0s 1ms/step - loss: 0.0056
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0020
 42/224 [====>.........................] - ETA: 0s - loss: 0.0047
 83/224 [==========>...................] - ETA: 0s - loss: 0.0055
124/224 [===============>..............] - ETA: 0s - loss: 0.0047
165/224 [=====================>........] - ETA: 0s - loss: 0.0041
205/224 [==========================>...] - ETA: 0s - loss: 0.0039
224/224 [==============================] - 0s 1ms/step - loss: 0.0044
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 0.1196
 41/224 [====>.........................] - ETA: 0s - loss: 0.0060
 81/224 [=========>....................] - ETA: 0s - loss: 0.0054
119/224 [==============>...............] - ETA: 0s - loss: 0.0040
158/224 [====================>.........] - ETA: 0s - loss: 0.0046
199/224 [=========================>....] - ETA: 0s - loss: 0.0043
224/224 [==============================] - 0s 1ms/step - loss: 0.0051
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.7291e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0019
122/224 [===============>..............] - ETA: 0s - loss: 0.0017
162/224 [====================>.........] - ETA: 0s - loss: 0.0020
202/224 [==========================>...] - ETA: 0s - loss: 0.0021
224/224 [==============================] - 0s 1ms/step - loss: 0.0022
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 0.0017
 41/224 [====>.........................] - ETA: 0s - loss: 7.5010e-04
 83/224 [==========>...................] - ETA: 0s - loss: 0.0010    
124/224 [===============>..............] - ETA: 0s - loss: 8.4464e-04
163/224 [====================>.........] - ETA: 0s - loss: 0.0011    
204/224 [==========================>...] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 1, 20
GAN f1 score: 0.976
GAN cohens kappa score: 0.975

-> test with 'LR'
LR tn, fp: 544, 16
LR fn, tp: 2, 19
LR f1 score: 0.679
LR cohens kappa score: 0.663
LR average precision score: 0.896

-> test with 'RF'
RF tn, fp: 555, 5
RF fn, tp: 1, 20
RF f1 score: 0.870
RF cohens kappa score: 0.864

-> test with 'GB'
GB tn, fp: 555, 5
GB fn, tp: 0, 21
GB f1 score: 0.894
GB cohens kappa score: 0.889

-> test with 'KNN'
KNN tn, fp: 552, 8
KNN fn, tp: 0, 21
KNN f1 score: 0.840
KNN cohens kappa score: 0.833


------ Step 1/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2156 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 34s - loss: 4.7635e-08
 45/224 [=====>........................] - ETA: 0s - loss: 0.0725     
 90/224 [===========>..................] - ETA: 0s - loss: 0.0679
133/224 [================>.............] - ETA: 0s - loss: 0.0529
177/224 [======================>.......] - ETA: 0s - loss: 0.0499
220/224 [============================>.] - ETA: 0s - loss: 0.0454
224/224 [==============================] - 0s 1ms/step - loss: 0.0446
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 1.2520e-05
 45/224 [=====>........................] - ETA: 0s - loss: 0.0221    
 89/224 [==========>...................] - ETA: 0s - loss: 0.0285
131/224 [================>.............] - ETA: 0s - loss: 0.0292
173/224 [======================>.......] - ETA: 0s - loss: 0.0247
217/224 [============================>.] - ETA: 0s - loss: 0.0209
224/224 [==============================] - 0s 1ms/step - loss: 0.0203
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 6.0084e-09
 42/224 [====>.........................] - ETA: 0s - loss: 0.0026    
 86/224 [==========>...................] - ETA: 0s - loss: 0.0021
131/224 [================>.............] - ETA: 0s - loss: 0.0105
175/224 [======================>.......] - ETA: 0s - loss: 0.0145
218/224 [============================>.] - ETA: 0s - loss: 0.0157
224/224 [==============================] - 0s 1ms/step - loss: 0.0153
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 3.9725e-05
 43/224 [====>.........................] - ETA: 0s - loss: 0.0068    
 88/224 [==========>...................] - ETA: 0s - loss: 0.0043
128/224 [================>.............] - ETA: 0s - loss: 0.0070
167/224 [=====================>........] - ETA: 0s - loss: 0.0079
209/224 [==========================>...] - ETA: 0s - loss: 0.0092
224/224 [==============================] - 0s 1ms/step - loss: 0.0098
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 1.3988e-05
 41/224 [====>.........................] - ETA: 0s - loss: 9.4262e-04
 78/224 [=========>....................] - ETA: 0s - loss: 0.0040    
116/224 [==============>...............] - ETA: 0s - loss: 0.0039
157/224 [====================>.........] - ETA: 0s - loss: 0.0044
201/224 [=========================>....] - ETA: 0s - loss: 0.0040
224/224 [==============================] - 0s 1ms/step - loss: 0.0058
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 0.0046
 43/224 [====>.........................] - ETA: 0s - loss: 0.0036
 86/224 [==========>...................] - ETA: 0s - loss: 0.0028
129/224 [================>.............] - ETA: 0s - loss: 0.0045
171/224 [=====================>........] - ETA: 0s - loss: 0.0055
214/224 [===========================>..] - ETA: 0s - loss: 0.0049
224/224 [==============================] - 0s 1ms/step - loss: 0.0048
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 7.5570e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0066    
 88/224 [==========>...................] - ETA: 0s - loss: 0.0050
132/224 [================>.............] - ETA: 0s - loss: 0.0042
176/224 [======================>.......] - ETA: 0s - loss: 0.0037
220/224 [============================>.] - ETA: 0s - loss: 0.0031
224/224 [==============================] - 0s 1ms/step - loss: 0.0030
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 8.4618e-04
 44/224 [====>.........................] - ETA: 0s - loss: 0.0043    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0040
132/224 [================>.............] - ETA: 0s - loss: 0.0037
176/224 [======================>.......] - ETA: 0s - loss: 0.0032
220/224 [============================>.] - ETA: 0s - loss: 0.0028
224/224 [==============================] - 0s 1ms/step - loss: 0.0027
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.3839e-05
 45/224 [=====>........................] - ETA: 0s - loss: 0.0032    
 90/224 [===========>..................] - ETA: 0s - loss: 0.0024
132/224 [================>.............] - ETA: 0s - loss: 0.0021
175/224 [======================>.......] - ETA: 0s - loss: 0.0019
219/224 [============================>.] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 0.0012
 44/224 [====>.........................] - ETA: 0s - loss: 0.0015
 87/224 [==========>...................] - ETA: 0s - loss: 0.0018
130/224 [================>.............] - ETA: 0s - loss: 0.0019
173/224 [======================>.......] - ETA: 0s - loss: 0.0017
217/224 [============================>.] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
-> test with GAN.predict
GAN tn, fp: 556, 0
GAN fn, tp: 0, 21
GAN f1 score: 1.000
GAN cohens kappa score: 1.000

-> test with 'LR'
LR tn, fp: 544, 12
LR fn, tp: 0, 21
LR f1 score: 0.778
LR cohens kappa score: 0.767
LR average precision score: 0.989

-> test with 'RF'
RF tn, fp: 554, 2
RF fn, tp: 0, 21
RF f1 score: 0.955
RF cohens kappa score: 0.953

-> test with 'GB'
GB tn, fp: 556, 0
GB fn, tp: 0, 21
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 551, 5
KNN fn, tp: 0, 21
KNN f1 score: 0.894
KNN cohens kappa score: 0.889


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

------ Step 2/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 44s - loss: 1.2001e-04
 36/224 [===>..........................] - ETA: 0s - loss: 0.0599     
 74/224 [========>.....................] - ETA: 0s - loss: 0.0501
114/224 [==============>...............] - ETA: 0s - loss: 0.0473
147/224 [==================>...........] - ETA: 0s - loss: 0.0468
183/224 [=======================>......] - ETA: 0s - loss: 0.0416
219/224 [============================>.] - ETA: 0s - loss: 0.0427
224/224 [==============================] - 1s 1ms/step - loss: 0.0418
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 1.9510e-06
 35/224 [===>..........................] - ETA: 0s - loss: 0.0394    
 72/224 [========>.....................] - ETA: 0s - loss: 0.0332
109/224 [=============>................] - ETA: 0s - loss: 0.0277
146/224 [==================>...........] - ETA: 0s - loss: 0.0267
183/224 [=======================>......] - ETA: 0s - loss: 0.0253
219/224 [============================>.] - ETA: 0s - loss: 0.0234
224/224 [==============================] - 0s 1ms/step - loss: 0.0229
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 3.3537e-04
 37/224 [===>..........................] - ETA: 0s - loss: 0.0199    
 70/224 [========>.....................] - ETA: 0s - loss: 0.0139
100/224 [============>.................] - ETA: 0s - loss: 0.0136
132/224 [================>.............] - ETA: 0s - loss: 0.0127
169/224 [=====================>........] - ETA: 0s - loss: 0.0138
208/224 [==========================>...] - ETA: 0s - loss: 0.0143
224/224 [==============================] - 0s 1ms/step - loss: 0.0144
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 4.9978e-05
 39/224 [====>.........................] - ETA: 0s - loss: 0.0213    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0137
114/224 [==============>...............] - ETA: 0s - loss: 0.0102
151/224 [===================>..........] - ETA: 0s - loss: 0.0099
185/224 [=======================>......] - ETA: 0s - loss: 0.0108
224/224 [==============================] - 0s 1ms/step - loss: 0.0118
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 3.6746e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0083    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0138
117/224 [==============>...............] - ETA: 0s - loss: 0.0121
157/224 [====================>.........] - ETA: 0s - loss: 0.0098
195/224 [=========================>....] - ETA: 0s - loss: 0.0101
224/224 [==============================] - 0s 1ms/step - loss: 0.0096
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 4.8761e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0105    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0127
118/224 [==============>...............] - ETA: 0s - loss: 0.0108
158/224 [====================>.........] - ETA: 0s - loss: 0.0095
199/224 [=========================>....] - ETA: 0s - loss: 0.0088
224/224 [==============================] - 0s 1ms/step - loss: 0.0082
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 4.1483e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0068    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0082
118/224 [==============>...............] - ETA: 0s - loss: 0.0072
157/224 [====================>.........] - ETA: 0s - loss: 0.0070
190/224 [========================>.....] - ETA: 0s - loss: 0.0065
224/224 [==============================] - 0s 1ms/step - loss: 0.0065
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 6.7228e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0088    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0084
119/224 [==============>...............] - ETA: 0s - loss: 0.0064
159/224 [====================>.........] - ETA: 0s - loss: 0.0057
200/224 [=========================>....] - ETA: 0s - loss: 0.0050
224/224 [==============================] - 0s 1ms/step - loss: 0.0052
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 9.7625e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0023    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0033
121/224 [===============>..............] - ETA: 0s - loss: 0.0033
160/224 [====================>.........] - ETA: 0s - loss: 0.0029
201/224 [=========================>....] - ETA: 0s - loss: 0.0038
224/224 [==============================] - 0s 1ms/step - loss: 0.0051
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 0.0018
 41/224 [====>.........................] - ETA: 0s - loss: 0.0049
 81/224 [=========>....................] - ETA: 0s - loss: 0.0054
121/224 [===============>..............] - ETA: 0s - loss: 0.0046
161/224 [====================>.........] - ETA: 0s - loss: 0.0038
195/224 [=========================>....] - ETA: 0s - loss: 0.0042
224/224 [==============================] - 0s 1ms/step - loss: 0.0042
-> test with GAN.predict
GAN tn, fp: 559, 1
GAN fn, tp: 0, 21
GAN f1 score: 0.977
GAN cohens kappa score: 0.976

-> test with 'LR'
LR tn, fp: 552, 8
LR fn, tp: 1, 20
LR f1 score: 0.816
LR cohens kappa score: 0.808
LR average precision score: 0.943

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 0, 21
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 1, 20
GB f1 score: 0.976
GB cohens kappa score: 0.975

-> test with 'KNN'
KNN tn, fp: 554, 6
KNN fn, tp: 0, 21
KNN f1 score: 0.875
KNN cohens kappa score: 0.870


------ Step 2/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 36s - loss: 1.8158e-10
 40/224 [====>.........................] - ETA: 0s - loss: 0.0885     
 79/224 [=========>....................] - ETA: 0s - loss: 0.0699
117/224 [==============>...............] - ETA: 0s - loss: 0.0571
150/224 [===================>..........] - ETA: 0s - loss: 0.0509
185/224 [=======================>......] - ETA: 0s - loss: 0.0465
224/224 [==============================] - ETA: 0s - loss: 0.0478
224/224 [==============================] - 0s 1ms/step - loss: 0.0478
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 1.7303e-07
 43/224 [====>.........................] - ETA: 0s - loss: 0.0163    
 85/224 [==========>...................] - ETA: 0s - loss: 0.0306
127/224 [================>.............] - ETA: 0s - loss: 0.0222
168/224 [=====================>........] - ETA: 0s - loss: 0.0250
210/224 [===========================>..] - ETA: 0s - loss: 0.0275
224/224 [==============================] - 0s 1ms/step - loss: 0.0258
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 0.5360
 42/224 [====>.........................] - ETA: 0s - loss: 0.0291
 83/224 [==========>...................] - ETA: 0s - loss: 0.0223
124/224 [===============>..............] - ETA: 0s - loss: 0.0208
165/224 [=====================>........] - ETA: 0s - loss: 0.0182
207/224 [==========================>...] - ETA: 0s - loss: 0.0173
224/224 [==============================] - 0s 1ms/step - loss: 0.0178
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 4.4015e-04
 35/224 [===>..........................] - ETA: 0s - loss: 0.0112    
 75/224 [=========>....................] - ETA: 0s - loss: 0.0212
117/224 [==============>...............] - ETA: 0s - loss: 0.0157
157/224 [====================>.........] - ETA: 0s - loss: 0.0153
194/224 [========================>.....] - ETA: 0s - loss: 0.0131
224/224 [==============================] - 0s 1ms/step - loss: 0.0133
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 4.7364e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0018    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0053
122/224 [===============>..............] - ETA: 0s - loss: 0.0103
163/224 [====================>.........] - ETA: 0s - loss: 0.0107
203/224 [==========================>...] - ETA: 0s - loss: 0.0108
224/224 [==============================] - 0s 1ms/step - loss: 0.0103
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 9.5936e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0043    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0072
125/224 [===============>..............] - ETA: 0s - loss: 0.0073
166/224 [=====================>........] - ETA: 0s - loss: 0.0064
207/224 [==========================>...] - ETA: 0s - loss: 0.0075
224/224 [==============================] - 0s 1ms/step - loss: 0.0085
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0066
 40/224 [====>.........................] - ETA: 0s - loss: 0.0031
 77/224 [=========>....................] - ETA: 0s - loss: 0.0059
118/224 [==============>...............] - ETA: 0s - loss: 0.0056
159/224 [====================>.........] - ETA: 0s - loss: 0.0059
200/224 [=========================>....] - ETA: 0s - loss: 0.0051
224/224 [==============================] - 0s 1ms/step - loss: 0.0068
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 0.0014
 43/224 [====>.........................] - ETA: 0s - loss: 0.0049
 83/224 [==========>...................] - ETA: 0s - loss: 0.0051
124/224 [===============>..............] - ETA: 0s - loss: 0.0058
165/224 [=====================>........] - ETA: 0s - loss: 0.0068
206/224 [==========================>...] - ETA: 0s - loss: 0.0060
224/224 [==============================] - 0s 1ms/step - loss: 0.0056
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.1125e-04
 35/224 [===>..........................] - ETA: 0s - loss: 0.0150    
 70/224 [========>.....................] - ETA: 0s - loss: 0.0112
106/224 [=============>................] - ETA: 0s - loss: 0.0077
145/224 [==================>...........] - ETA: 0s - loss: 0.0076
184/224 [=======================>......] - ETA: 0s - loss: 0.0066
223/224 [============================>.] - ETA: 0s - loss: 0.0058
224/224 [==============================] - 0s 1ms/step - loss: 0.0058
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 5.3971e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0019    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0045
124/224 [===============>..............] - ETA: 0s - loss: 0.0047
165/224 [=====================>........] - ETA: 0s - loss: 0.0050
207/224 [==========================>...] - ETA: 0s - loss: 0.0045
224/224 [==============================] - 0s 1ms/step - loss: 0.0042
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 2, 19
GAN f1 score: 0.950
GAN cohens kappa score: 0.948

-> test with 'LR'
LR tn, fp: 558, 2
LR fn, tp: 2, 19
LR f1 score: 0.905
LR cohens kappa score: 0.901
LR average precision score: 0.920

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 3, 18
RF f1 score: 0.923
RF cohens kappa score: 0.920

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 1, 20
GB f1 score: 0.976
GB cohens kappa score: 0.975

-> test with 'KNN'
KNN tn, fp: 555, 5
KNN fn, tp: 2, 19
KNN f1 score: 0.844
KNN cohens kappa score: 0.838


------ Step 2/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 44s - loss: 2.3255e-09
 41/224 [====>.........................] - ETA: 0s - loss: 0.0539     
 82/224 [=========>....................] - ETA: 0s - loss: 0.0703
124/224 [===============>..............] - ETA: 0s - loss: 0.0510
166/224 [=====================>........] - ETA: 0s - loss: 0.0631
208/224 [==========================>...] - ETA: 0s - loss: 0.0567
224/224 [==============================] - 0s 1ms/step - loss: 0.0564
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 7.0010e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0263    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0330
125/224 [===============>..............] - ETA: 0s - loss: 0.0225
167/224 [=====================>........] - ETA: 0s - loss: 0.0199
208/224 [==========================>...] - ETA: 0s - loss: 0.0248
224/224 [==============================] - 0s 1ms/step - loss: 0.0252
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 3.3712e-05
 43/224 [====>.........................] - ETA: 0s - loss: 0.0248    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0234
121/224 [===============>..............] - ETA: 0s - loss: 0.0232
157/224 [====================>.........] - ETA: 0s - loss: 0.0199
191/224 [========================>.....] - ETA: 0s - loss: 0.0190
224/224 [==============================] - 0s 1ms/step - loss: 0.0179
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 0.0029
 38/224 [====>.........................] - ETA: 0s - loss: 0.0181
 80/224 [=========>....................] - ETA: 0s - loss: 0.0192
121/224 [===============>..............] - ETA: 0s - loss: 0.0157
163/224 [====================>.........] - ETA: 0s - loss: 0.0136
204/224 [==========================>...] - ETA: 0s - loss: 0.0137
224/224 [==============================] - 0s 1ms/step - loss: 0.0141
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 5.6050e-04
 39/224 [====>.........................] - ETA: 0s - loss: 0.0085    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0103
114/224 [==============>...............] - ETA: 0s - loss: 0.0108
154/224 [===================>..........] - ETA: 0s - loss: 0.0088
196/224 [=========================>....] - ETA: 0s - loss: 0.0116
224/224 [==============================] - 0s 1ms/step - loss: 0.0119
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 1.1147e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0045    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0052
123/224 [===============>..............] - ETA: 0s - loss: 0.0094
163/224 [====================>.........] - ETA: 0s - loss: 0.0105
204/224 [==========================>...] - ETA: 0s - loss: 0.0102
224/224 [==============================] - 0s 1ms/step - loss: 0.0098
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0065
 43/224 [====>.........................] - ETA: 0s - loss: 0.0089
 84/224 [==========>...................] - ETA: 0s - loss: 0.0064
125/224 [===============>..............] - ETA: 0s - loss: 0.0061
161/224 [====================>.........] - ETA: 0s - loss: 0.0068
194/224 [========================>.....] - ETA: 0s - loss: 0.0058
224/224 [==============================] - 0s 1ms/step - loss: 0.0082
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 0.0035
 42/224 [====>.........................] - ETA: 0s - loss: 0.0124
 84/224 [==========>...................] - ETA: 0s - loss: 0.0094
126/224 [===============>..............] - ETA: 0s - loss: 0.0093
167/224 [=====================>........] - ETA: 0s - loss: 0.0088
208/224 [==========================>...] - ETA: 0s - loss: 0.0082
224/224 [==============================] - 0s 1ms/step - loss: 0.0078
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 8.6197e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0111    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0064
122/224 [===============>..............] - ETA: 0s - loss: 0.0063
163/224 [====================>.........] - ETA: 0s - loss: 0.0073
204/224 [==========================>...] - ETA: 0s - loss: 0.0066
224/224 [==============================] - 0s 1ms/step - loss: 0.0064
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 8.1323e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0062    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0055
121/224 [===============>..............] - ETA: 0s - loss: 0.0063
163/224 [====================>.........] - ETA: 0s - loss: 0.0056
204/224 [==========================>...] - ETA: 0s - loss: 0.0059
224/224 [==============================] - 0s 1ms/step - loss: 0.0055
-> test with GAN.predict
GAN tn, fp: 558, 2
GAN fn, tp: 1, 20
GAN f1 score: 0.930
GAN cohens kappa score: 0.928

-> test with 'LR'
LR tn, fp: 549, 11
LR fn, tp: 0, 21
LR f1 score: 0.792
LR cohens kappa score: 0.783
LR average precision score: 0.934

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 1, 20
RF f1 score: 0.976
RF cohens kappa score: 0.975

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 1, 20
GB f1 score: 0.976
GB cohens kappa score: 0.975

-> test with 'KNN'
KNN tn, fp: 558, 2
KNN fn, tp: 1, 20
KNN f1 score: 0.930
KNN cohens kappa score: 0.928


------ Step 2/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 36s - loss: 1.3944e-07
 42/224 [====>.........................] - ETA: 0s - loss: 0.0444     
 82/224 [=========>....................] - ETA: 0s - loss: 0.0416
123/224 [===============>..............] - ETA: 0s - loss: 0.0471
164/224 [====================>.........] - ETA: 0s - loss: 0.0472
205/224 [==========================>...] - ETA: 0s - loss: 0.0479
224/224 [==============================] - 0s 1ms/step - loss: 0.0465
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 7.4432e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0217    
 73/224 [========>.....................] - ETA: 0s - loss: 0.0169
108/224 [=============>................] - ETA: 0s - loss: 0.0171
143/224 [==================>...........] - ETA: 0s - loss: 0.0172
180/224 [=======================>......] - ETA: 0s - loss: 0.0195
220/224 [============================>.] - ETA: 0s - loss: 0.0201
224/224 [==============================] - 0s 1ms/step - loss: 0.0211
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 2.8702e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0193    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0186
124/224 [===============>..............] - ETA: 0s - loss: 0.0193
163/224 [====================>.........] - ETA: 0s - loss: 0.0184
204/224 [==========================>...] - ETA: 0s - loss: 0.0159
224/224 [==============================] - 0s 1ms/step - loss: 0.0159
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 1.1858e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0040    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0102
118/224 [==============>...............] - ETA: 0s - loss: 0.0144
156/224 [===================>..........] - ETA: 0s - loss: 0.0117
197/224 [=========================>....] - ETA: 0s - loss: 0.0142
224/224 [==============================] - 0s 1ms/step - loss: 0.0133
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 4.1040e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0255    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0147
123/224 [===============>..............] - ETA: 0s - loss: 0.0121
160/224 [====================>.........] - ETA: 0s - loss: 0.0109
200/224 [=========================>....] - ETA: 0s - loss: 0.0095
224/224 [==============================] - 0s 1ms/step - loss: 0.0116
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 9.2190e-07
 39/224 [====>.........................] - ETA: 0s - loss: 0.0060    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0152
118/224 [==============>...............] - ETA: 0s - loss: 0.0127
158/224 [====================>.........] - ETA: 0s - loss: 0.0104
198/224 [=========================>....] - ETA: 0s - loss: 0.0105
224/224 [==============================] - 0s 1ms/step - loss: 0.0104
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 4.5444e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0022    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0047
123/224 [===============>..............] - ETA: 0s - loss: 0.0061
163/224 [====================>.........] - ETA: 0s - loss: 0.0092
204/224 [==========================>...] - ETA: 0s - loss: 0.0096
224/224 [==============================] - 0s 1ms/step - loss: 0.0093
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 8.7604e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0066    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0088
124/224 [===============>..............] - ETA: 0s - loss: 0.0065
164/224 [====================>.........] - ETA: 0s - loss: 0.0055
204/224 [==========================>...] - ETA: 0s - loss: 0.0070
224/224 [==============================] - 0s 1ms/step - loss: 0.0085
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.6502e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0172    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0127
121/224 [===============>..............] - ETA: 0s - loss: 0.0106
156/224 [===================>..........] - ETA: 0s - loss: 0.0088
189/224 [========================>.....] - ETA: 0s - loss: 0.0081
224/224 [==============================] - 0s 1ms/step - loss: 0.0077
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 5.5745e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0037
121/224 [===============>..............] - ETA: 0s - loss: 0.0044
161/224 [====================>.........] - ETA: 0s - loss: 0.0044
203/224 [==========================>...] - ETA: 0s - loss: 0.0047
224/224 [==============================] - 0s 1ms/step - loss: 0.0069
-> test with GAN.predict
GAN tn, fp: 553, 7
GAN fn, tp: 1, 20
GAN f1 score: 0.833
GAN cohens kappa score: 0.826

-> test with 'LR'
LR tn, fp: 543, 17
LR fn, tp: 0, 21
LR f1 score: 0.712
LR cohens kappa score: 0.698
LR average precision score: 0.894

-> test with 'RF'
RF tn, fp: 559, 1
RF fn, tp: 2, 19
RF f1 score: 0.927
RF cohens kappa score: 0.924

-> test with 'GB'
GB tn, fp: 559, 1
GB fn, tp: 2, 19
GB f1 score: 0.927
GB cohens kappa score: 0.924

-> test with 'KNN'
KNN tn, fp: 550, 10
KNN fn, tp: 0, 21
KNN f1 score: 0.808
KNN cohens kappa score: 0.799


------ Step 2/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2156 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 35s - loss: 6.9999e-15
 45/224 [=====>........................] - ETA: 0s - loss: 0.0745     
 89/224 [==========>...................] - ETA: 0s - loss: 0.0907
134/224 [================>.............] - ETA: 0s - loss: 0.0645
177/224 [======================>.......] - ETA: 0s - loss: 0.0542
219/224 [============================>.] - ETA: 0s - loss: 0.0495
224/224 [==============================] - 0s 1ms/step - loss: 0.0500
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 0.0439
 45/224 [=====>........................] - ETA: 0s - loss: 0.0203
 84/224 [==========>...................] - ETA: 0s - loss: 0.0195
122/224 [===============>..............] - ETA: 0s - loss: 0.0199
160/224 [====================>.........] - ETA: 0s - loss: 0.0186
204/224 [==========================>...] - ETA: 0s - loss: 0.0177
224/224 [==============================] - 0s 1ms/step - loss: 0.0161
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.4331e-04
 45/224 [=====>........................] - ETA: 0s - loss: 0.0039    
 85/224 [==========>...................] - ETA: 0s - loss: 0.0068
117/224 [==============>...............] - ETA: 0s - loss: 0.0068
150/224 [===================>..........] - ETA: 0s - loss: 0.0068
189/224 [========================>.....] - ETA: 0s - loss: 0.0076
224/224 [==============================] - 0s 1ms/step - loss: 0.0070
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 0.0038
 45/224 [=====>........................] - ETA: 0s - loss: 0.0047
 89/224 [==========>...................] - ETA: 0s - loss: 0.0075
129/224 [================>.............] - ETA: 0s - loss: 0.0068
173/224 [======================>.......] - ETA: 0s - loss: 0.0057
210/224 [===========================>..] - ETA: 0s - loss: 0.0050
224/224 [==============================] - 0s 1ms/step - loss: 0.0048
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 0.0013
 45/224 [=====>........................] - ETA: 0s - loss: 0.0057
 90/224 [===========>..................] - ETA: 0s - loss: 0.0059
132/224 [================>.............] - ETA: 0s - loss: 0.0043
176/224 [======================>.......] - ETA: 0s - loss: 0.0039
220/224 [============================>.] - ETA: 0s - loss: 0.0040
224/224 [==============================] - 0s 1ms/step - loss: 0.0039
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 4.7514e-08
 44/224 [====>.........................] - ETA: 0s - loss: 0.0011    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0010
131/224 [================>.............] - ETA: 0s - loss: 0.0024
174/224 [======================>.......] - ETA: 0s - loss: 0.0026
217/224 [============================>.] - ETA: 0s - loss: 0.0030
224/224 [==============================] - 0s 1ms/step - loss: 0.0029
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0013
 43/224 [====>.........................] - ETA: 0s - loss: 0.0046
 86/224 [==========>...................] - ETA: 0s - loss: 0.0048
130/224 [================>.............] - ETA: 0s - loss: 0.0037
174/224 [======================>.......] - ETA: 0s - loss: 0.0028
219/224 [============================>.] - ETA: 0s - loss: 0.0025
224/224 [==============================] - 0s 1ms/step - loss: 0.0025
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 9.2698e-04
 45/224 [=====>........................] - ETA: 0s - loss: 0.0029    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0022
131/224 [================>.............] - ETA: 0s - loss: 0.0017
175/224 [======================>.......] - ETA: 0s - loss: 0.0016
218/224 [============================>.] - ETA: 0s - loss: 0.0016
224/224 [==============================] - 0s 1ms/step - loss: 0.0017
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 5.2255e-05
 43/224 [====>.........................] - ETA: 0s - loss: 0.0029    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0020
124/224 [===============>..............] - ETA: 0s - loss: 0.0024
160/224 [====================>.........] - ETA: 0s - loss: 0.0020
201/224 [=========================>....] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0017
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 1.0570e-06
 38/224 [====>.........................] - ETA: 0s - loss: 3.7160e-04
 75/224 [=========>....................] - ETA: 0s - loss: 0.0014    
114/224 [==============>...............] - ETA: 0s - loss: 0.0015
158/224 [====================>.........] - ETA: 0s - loss: 0.0019
201/224 [=========================>....] - ETA: 0s - loss: 0.0016
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
-> test with GAN.predict
GAN tn, fp: 556, 0
GAN fn, tp: 1, 20
GAN f1 score: 0.976
GAN cohens kappa score: 0.975

-> test with 'LR'
LR tn, fp: 540, 16
LR fn, tp: 1, 20
LR f1 score: 0.702
LR cohens kappa score: 0.687
LR average precision score: 0.932

-> test with 'RF'
RF tn, fp: 556, 0
RF fn, tp: 2, 19
RF f1 score: 0.950
RF cohens kappa score: 0.948

-> test with 'GB'
GB tn, fp: 556, 0
GB fn, tp: 0, 21
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 550, 6
KNN fn, tp: 1, 20
KNN f1 score: 0.851
KNN cohens kappa score: 0.845


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

------ Step 3/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 43s - loss: 3.6578e-08
 42/224 [====>.........................] - ETA: 0s - loss: 0.0027     
 82/224 [=========>....................] - ETA: 0s - loss: 0.0180
123/224 [===============>..............] - ETA: 0s - loss: 0.0248
164/224 [====================>.........] - ETA: 0s - loss: 0.0210
204/224 [==========================>...] - ETA: 0s - loss: 0.0177
224/224 [==============================] - 0s 1ms/step - loss: 0.0198
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 5.0968e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0020    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0086
123/224 [===============>..............] - ETA: 0s - loss: 0.0061
163/224 [====================>.........] - ETA: 0s - loss: 0.0074
202/224 [==========================>...] - ETA: 0s - loss: 0.0060
224/224 [==============================] - 0s 1ms/step - loss: 0.0096
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.0756e-07
 40/224 [====>.........................] - ETA: 0s - loss: 0.0077    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0090
122/224 [===============>..............] - ETA: 0s - loss: 0.0062
162/224 [====================>.........] - ETA: 0s - loss: 0.0091
202/224 [==========================>...] - ETA: 0s - loss: 0.0074
224/224 [==============================] - 0s 1ms/step - loss: 0.0067
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 7.6599e-06
 41/224 [====>.........................] - ETA: 0s - loss: 8.7311e-05
 81/224 [=========>....................] - ETA: 0s - loss: 3.2370e-04
121/224 [===============>..............] - ETA: 0s - loss: 0.0023    
161/224 [====================>.........] - ETA: 0s - loss: 0.0053
202/224 [==========================>...] - ETA: 0s - loss: 0.0044
224/224 [==============================] - 0s 1ms/step - loss: 0.0040
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 3.2283e-06
 40/224 [====>.........................] - ETA: 0s - loss: 3.2633e-04
 78/224 [=========>....................] - ETA: 0s - loss: 7.9709e-04
117/224 [==============>...............] - ETA: 0s - loss: 8.1259e-04
156/224 [===================>..........] - ETA: 0s - loss: 6.4812e-04
197/224 [=========================>....] - ETA: 0s - loss: 0.0027    
224/224 [==============================] - 0s 1ms/step - loss: 0.0025
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 1.1095e-04
 41/224 [====>.........................] - ETA: 0s - loss: 6.8994e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0060    
120/224 [===============>..............] - ETA: 0s - loss: 0.0046
153/224 [===================>..........] - ETA: 0s - loss: 0.0039
189/224 [========================>.....] - ETA: 0s - loss: 0.0033
224/224 [==============================] - 0s 1ms/step - loss: 0.0028
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 7.2663e-06
 42/224 [====>.........................] - ETA: 0s - loss: 3.8941e-04
 82/224 [=========>....................] - ETA: 0s - loss: 2.8747e-04
121/224 [===============>..............] - ETA: 0s - loss: 2.1785e-04
161/224 [====================>.........] - ETA: 0s - loss: 2.8132e-04
200/224 [=========================>....] - ETA: 0s - loss: 2.6275e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 0.0039
 42/224 [====>.........................] - ETA: 0s - loss: 3.1063e-04
 81/224 [=========>....................] - ETA: 0s - loss: 4.4320e-04
122/224 [===============>..............] - ETA: 0s - loss: 4.2386e-04
160/224 [====================>.........] - ETA: 0s - loss: 3.9004e-04
199/224 [=========================>....] - ETA: 0s - loss: 7.7811e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.0230e-04
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 2.5945e-04
 41/224 [====>.........................] - ETA: 0s - loss: 2.0343e-04
 82/224 [=========>....................] - ETA: 0s - loss: 1.7875e-04
123/224 [===============>..............] - ETA: 0s - loss: 3.0799e-04
164/224 [====================>.........] - ETA: 0s - loss: 3.7916e-04
205/224 [==========================>...] - ETA: 0s - loss: 4.0522e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.7981e-04
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 7.3436e-04
 41/224 [====>.........................] - ETA: 0s - loss: 2.4682e-04
 82/224 [=========>....................] - ETA: 0s - loss: 3.3695e-04
120/224 [===============>..............] - ETA: 0s - loss: 3.8036e-04
157/224 [====================>.........] - ETA: 0s - loss: 3.6100e-04
196/224 [=========================>....] - ETA: 0s - loss: 3.0550e-04
224/224 [==============================] - 0s 1ms/step - loss: 2.8497e-04
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 1, 20
GAN f1 score: 0.976
GAN cohens kappa score: 0.975

-> test with 'LR'
LR tn, fp: 551, 9
LR fn, tp: 1, 20
LR f1 score: 0.800
LR cohens kappa score: 0.791
LR average precision score: 0.950

-> test with 'RF'
RF tn, fp: 559, 1
RF fn, tp: 1, 20
RF f1 score: 0.952
RF cohens kappa score: 0.951

-> test with 'GB'
GB tn, fp: 559, 1
GB fn, tp: 0, 21
GB f1 score: 0.977
GB cohens kappa score: 0.976

-> test with 'KNN'
KNN tn, fp: 550, 10
KNN fn, tp: 0, 21
KNN f1 score: 0.808
KNN cohens kappa score: 0.799


------ Step 3/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 44s - loss: 2.5593e-09
 42/224 [====>.........................] - ETA: 0s - loss: 0.0053     
 81/224 [=========>....................] - ETA: 0s - loss: 0.0096
121/224 [===============>..............] - ETA: 0s - loss: 0.0433
159/224 [====================>.........] - ETA: 0s - loss: 0.0329
200/224 [=========================>....] - ETA: 0s - loss: 0.0272
224/224 [==============================] - 0s 1ms/step - loss: 0.0267
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 1.1994e-04
 34/224 [===>..........................] - ETA: 0s - loss: 0.0222    
 67/224 [=======>......................] - ETA: 0s - loss: 0.0115
102/224 [============>.................] - ETA: 0s - loss: 0.0120
141/224 [=================>............] - ETA: 0s - loss: 0.0088
181/224 [=======================>......] - ETA: 0s - loss: 0.0069
218/224 [============================>.] - ETA: 0s - loss: 0.0155
224/224 [==============================] - 0s 1ms/step - loss: 0.0152
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 9.9343e-08
 42/224 [====>.........................] - ETA: 0s - loss: 7.0399e-04
 84/224 [==========>...................] - ETA: 0s - loss: 4.7462e-04
125/224 [===============>..............] - ETA: 0s - loss: 0.0084    
167/224 [=====================>........] - ETA: 0s - loss: 0.0104
208/224 [==========================>...] - ETA: 0s - loss: 0.0086
224/224 [==============================] - 0s 1ms/step - loss: 0.0111
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 9.9328e-04
 36/224 [===>..........................] - ETA: 0s - loss: 0.0202    
 73/224 [========>.....................] - ETA: 0s - loss: 0.0112
112/224 [==============>...............] - ETA: 0s - loss: 0.0077
152/224 [===================>..........] - ETA: 0s - loss: 0.0069
192/224 [========================>.....] - ETA: 0s - loss: 0.0103
224/224 [==============================] - 0s 1ms/step - loss: 0.0090
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 5.6525e-08
 42/224 [====>.........................] - ETA: 0s - loss: 0.0064    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0036
121/224 [===============>..............] - ETA: 0s - loss: 0.0064
161/224 [====================>.........] - ETA: 0s - loss: 0.0050
202/224 [==========================>...] - ETA: 0s - loss: 0.0065
224/224 [==============================] - 0s 1ms/step - loss: 0.0061
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 1.3745e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0064
119/224 [==============>...............] - ETA: 0s - loss: 0.0076
154/224 [===================>..........] - ETA: 0s - loss: 0.0062
192/224 [========================>.....] - ETA: 0s - loss: 0.0051
223/224 [============================>.] - ETA: 0s - loss: 0.0047
224/224 [==============================] - 0s 1ms/step - loss: 0.0047
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 1.6737e-07
 38/224 [====>.........................] - ETA: 0s - loss: 0.0082    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0044
115/224 [==============>...............] - ETA: 0s - loss: 0.0032
154/224 [===================>..........] - ETA: 0s - loss: 0.0025
194/224 [========================>.....] - ETA: 0s - loss: 0.0032
224/224 [==============================] - 0s 1ms/step - loss: 0.0029
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 6.3810e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0048    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0028
125/224 [===============>..............] - ETA: 0s - loss: 0.0023
166/224 [=====================>........] - ETA: 0s - loss: 0.0022
205/224 [==========================>...] - ETA: 0s - loss: 0.0019
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 4.5067e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0021    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0016
119/224 [==============>...............] - ETA: 0s - loss: 0.0013
150/224 [===================>..........] - ETA: 0s - loss: 0.0012
184/224 [=======================>......] - ETA: 0s - loss: 0.0011
223/224 [============================>.] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 0.0010
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 1.8308e-04
 42/224 [====>.........................] - ETA: 0s - loss: 5.4995e-04
 81/224 [=========>....................] - ETA: 0s - loss: 5.9287e-04
121/224 [===============>..............] - ETA: 0s - loss: 4.8899e-04
162/224 [====================>.........] - ETA: 0s - loss: 4.1997e-04
203/224 [==========================>...] - ETA: 0s - loss: 4.5043e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.1934e-04
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 1, 20
GAN f1 score: 0.976
GAN cohens kappa score: 0.975

-> test with 'LR'
LR tn, fp: 556, 4
LR fn, tp: 1, 20
LR f1 score: 0.889
LR cohens kappa score: 0.884
LR average precision score: 0.898

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 0, 21
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 1, 20
GB f1 score: 0.976
GB cohens kappa score: 0.975

-> test with 'KNN'
KNN tn, fp: 554, 6
KNN fn, tp: 0, 21
KNN f1 score: 0.875
KNN cohens kappa score: 0.870


------ Step 3/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 1:15 - loss: 2.4084e-08
 10/224 [>.............................] - ETA: 1s - loss: 1.5195e-04  
 18/224 [=>............................] - ETA: 1s - loss: 0.0692    
 27/224 [==>...........................] - ETA: 1s - loss: 0.0887
 40/224 [====>.........................] - ETA: 0s - loss: 0.0639
 56/224 [======>.......................] - ETA: 0s - loss: 0.0541
 72/224 [========>.....................] - ETA: 0s - loss: 0.0425
 89/224 [==========>...................] - ETA: 0s - loss: 0.0426
111/224 [=============>................] - ETA: 0s - loss: 0.0384
137/224 [=================>............] - ETA: 0s - loss: 0.0479
162/224 [====================>.........] - ETA: 0s - loss: 0.0406
185/224 [=======================>......] - ETA: 0s - loss: 0.0402
211/224 [===========================>..] - ETA: 0s - loss: 0.0407
224/224 [==============================] - 1s 3ms/step - loss: 0.0384
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 2.1830e-04
 27/224 [==>...........................] - ETA: 0s - loss: 0.0032    
 50/224 [=====>........................] - ETA: 0s - loss: 0.0026
 76/224 [=========>....................] - ETA: 0s - loss: 0.0402
 95/224 [===========>..................] - ETA: 0s - loss: 0.0366
117/224 [==============>...............] - ETA: 0s - loss: 0.0312
135/224 [=================>............] - ETA: 0s - loss: 0.0271
148/224 [==================>...........] - ETA: 0s - loss: 0.0247
166/224 [=====================>........] - ETA: 0s - loss: 0.0221
184/224 [=======================>......] - ETA: 0s - loss: 0.0200
209/224 [==========================>...] - ETA: 0s - loss: 0.0204
224/224 [==============================] - 1s 2ms/step - loss: 0.0191
Epoch 3/10

  1/224 [..............................] - ETA: 1s - loss: 0.0024
 18/224 [=>............................] - ETA: 0s - loss: 4.6182e-04
 32/224 [===>..........................] - ETA: 0s - loss: 0.0431    
 48/224 [=====>........................] - ETA: 0s - loss: 0.0289
 71/224 [========>.....................] - ETA: 0s - loss: 0.0199
 92/224 [===========>..................] - ETA: 0s - loss: 0.0161
108/224 [=============>................] - ETA: 0s - loss: 0.0196
124/224 [===============>..............] - ETA: 0s - loss: 0.0209
139/224 [=================>............] - ETA: 0s - loss: 0.0187
162/224 [====================>.........] - ETA: 0s - loss: 0.0161
181/224 [=======================>......] - ETA: 0s - loss: 0.0173
199/224 [=========================>....] - ETA: 0s - loss: 0.0158
217/224 [============================>.] - ETA: 0s - loss: 0.0147
224/224 [==============================] - 1s 3ms/step - loss: 0.0142
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 0.0071
 18/224 [=>............................] - ETA: 0s - loss: 0.0029
 38/224 [====>.........................] - ETA: 0s - loss: 0.0015
 66/224 [=======>......................] - ETA: 0s - loss: 9.7510e-04
 91/224 [===========>..................] - ETA: 0s - loss: 8.8058e-04
118/224 [==============>...............] - ETA: 0s - loss: 7.3612e-04
147/224 [==================>...........] - ETA: 0s - loss: 6.9923e-04
179/224 [======================>.......] - ETA: 0s - loss: 0.0030    
208/224 [==========================>...] - ETA: 0s - loss: 0.0071
224/224 [==============================] - 0s 2ms/step - loss: 0.0091
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 3.3457e-04
 29/224 [==>...........................] - ETA: 0s - loss: 0.0045    
 58/224 [======>.......................] - ETA: 0s - loss: 0.0028
 90/224 [===========>..................] - ETA: 0s - loss: 0.0056
126/224 [===============>..............] - ETA: 0s - loss: 0.0042
160/224 [====================>.........] - ETA: 0s - loss: 0.0046
195/224 [=========================>....] - ETA: 0s - loss: 0.0039
224/224 [==============================] - 0s 2ms/step - loss: 0.0063
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 0.0053
 36/224 [===>..........................] - ETA: 0s - loss: 0.0075
 72/224 [========>.....................] - ETA: 0s - loss: 0.0052
105/224 [=============>................] - ETA: 0s - loss: 0.0040
137/224 [=================>............] - ETA: 0s - loss: 0.0033
168/224 [=====================>........] - ETA: 0s - loss: 0.0028
205/224 [==========================>...] - ETA: 0s - loss: 0.0033
224/224 [==============================] - 0s 1ms/step - loss: 0.0035
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 2.4396e-04
 34/224 [===>..........................] - ETA: 0s - loss: 0.0012    
 66/224 [=======>......................] - ETA: 0s - loss: 0.0024
 94/224 [===========>..................] - ETA: 0s - loss: 0.0020
126/224 [===============>..............] - ETA: 0s - loss: 0.0024
161/224 [====================>.........] - ETA: 0s - loss: 0.0023
198/224 [=========================>....] - ETA: 0s - loss: 0.0026
224/224 [==============================] - 0s 2ms/step - loss: 0.0025
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 1.0340e-04
 36/224 [===>..........................] - ETA: 0s - loss: 2.4056e-04
 71/224 [========>.....................] - ETA: 0s - loss: 2.9628e-04
108/224 [=============>................] - ETA: 0s - loss: 3.6561e-04
142/224 [==================>...........] - ETA: 0s - loss: 0.0010    
178/224 [======================>.......] - ETA: 0s - loss: 0.0014
212/224 [===========================>..] - ETA: 0s - loss: 0.0016
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 2.1283e-04
 37/224 [===>..........................] - ETA: 0s - loss: 0.0021    
 72/224 [========>.....................] - ETA: 0s - loss: 0.0015
105/224 [=============>................] - ETA: 0s - loss: 0.0017
139/224 [=================>............] - ETA: 0s - loss: 0.0014
173/224 [======================>.......] - ETA: 0s - loss: 0.0013
208/224 [==========================>...] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 7.5997e-06
 42/224 [====>.........................] - ETA: 0s - loss: 0.0021    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0013
113/224 [==============>...............] - ETA: 0s - loss: 0.0011
147/224 [==================>...........] - ETA: 0s - loss: 9.8190e-04
183/224 [=======================>......] - ETA: 0s - loss: 0.0013    
219/224 [============================>.] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 3, 18
GAN f1 score: 0.923
GAN cohens kappa score: 0.920

-> test with 'LR'
LR tn, fp: 543, 17
LR fn, tp: 1, 20
LR f1 score: 0.690
LR cohens kappa score: 0.675
LR average precision score: 0.886

-> test with 'RF'
RF tn, fp: 559, 1
RF fn, tp: 2, 19
RF f1 score: 0.927
RF cohens kappa score: 0.924

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 2, 19
GB f1 score: 0.950
GB cohens kappa score: 0.948

-> test with 'KNN'
KNN tn, fp: 552, 8
KNN fn, tp: 0, 21
KNN f1 score: 0.840
KNN cohens kappa score: 0.833


------ Step 3/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 46s - loss: 4.1370e-14
 42/224 [====>.........................] - ETA: 0s - loss: 0.0190     
 84/224 [==========>...................] - ETA: 0s - loss: 0.0368
126/224 [===============>..............] - ETA: 0s - loss: 0.0452
165/224 [=====================>........] - ETA: 0s - loss: 0.0544
202/224 [==========================>...] - ETA: 0s - loss: 0.0451
224/224 [==============================] - 0s 1ms/step - loss: 0.0419
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 7.2083e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0303    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0158
120/224 [===============>..............] - ETA: 0s - loss: 0.0296
161/224 [====================>.........] - ETA: 0s - loss: 0.0250
200/224 [=========================>....] - ETA: 0s - loss: 0.0210
224/224 [==============================] - 0s 1ms/step - loss: 0.0188
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.1913e-05
 41/224 [====>.........................] - ETA: 0s - loss: 9.3796e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0079    
122/224 [===============>..............] - ETA: 0s - loss: 0.0093
162/224 [====================>.........] - ETA: 0s - loss: 0.0077
203/224 [==========================>...] - ETA: 0s - loss: 0.0071
224/224 [==============================] - 0s 1ms/step - loss: 0.0065
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 3.6913e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0035    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0028
119/224 [==============>...............] - ETA: 0s - loss: 0.0025
156/224 [===================>..........] - ETA: 0s - loss: 0.0025
191/224 [========================>.....] - ETA: 0s - loss: 0.0021
224/224 [==============================] - 0s 1ms/step - loss: 0.0020
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 3.1650e-07
 41/224 [====>.........................] - ETA: 0s - loss: 0.0032    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0025
124/224 [===============>..............] - ETA: 0s - loss: 0.0026
165/224 [=====================>........] - ETA: 0s - loss: 0.0022
206/224 [==========================>...] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 1.0469e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0032    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0017
123/224 [===============>..............] - ETA: 0s - loss: 0.0020
164/224 [====================>.........] - ETA: 0s - loss: 0.0015
205/224 [==========================>...] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 1.8922e-04
 42/224 [====>.........................] - ETA: 0s - loss: 5.1385e-04
 83/224 [==========>...................] - ETA: 0s - loss: 8.1387e-04
123/224 [===============>..............] - ETA: 0s - loss: 6.3978e-04
163/224 [====================>.........] - ETA: 0s - loss: 8.7495e-04
204/224 [==========================>...] - ETA: 0s - loss: 7.3975e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.8044e-04
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 3.2144e-08
 42/224 [====>.........................] - ETA: 0s - loss: 3.3099e-04
 83/224 [==========>...................] - ETA: 0s - loss: 3.6912e-04
124/224 [===============>..............] - ETA: 0s - loss: 7.2798e-04
166/224 [=====================>........] - ETA: 0s - loss: 7.3588e-04
205/224 [==========================>...] - ETA: 0s - loss: 6.2182e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.7711e-04
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.0327e-04
 42/224 [====>.........................] - ETA: 0s - loss: 4.0178e-04
 83/224 [==========>...................] - ETA: 0s - loss: 3.5399e-04
123/224 [===============>..............] - ETA: 0s - loss: 5.5476e-04
162/224 [====================>.........] - ETA: 0s - loss: 4.9938e-04
203/224 [==========================>...] - ETA: 0s - loss: 6.9180e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.1844e-04
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 8.3345e-09
 41/224 [====>.........................] - ETA: 0s - loss: 3.9003e-04
 82/224 [=========>....................] - ETA: 0s - loss: 6.3359e-04
124/224 [===============>..............] - ETA: 0s - loss: 5.1418e-04
163/224 [====================>.........] - ETA: 0s - loss: 6.7991e-04
203/224 [==========================>...] - ETA: 0s - loss: 6.0880e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.9442e-04
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 1, 20
GAN f1 score: 0.976
GAN cohens kappa score: 0.975

-> test with 'LR'
LR tn, fp: 546, 14
LR fn, tp: 1, 20
LR f1 score: 0.727
LR cohens kappa score: 0.715
LR average precision score: 0.946

-> test with 'RF'
RF tn, fp: 559, 1
RF fn, tp: 1, 20
RF f1 score: 0.952
RF cohens kappa score: 0.951

-> test with 'GB'
GB tn, fp: 559, 1
GB fn, tp: 1, 20
GB f1 score: 0.952
GB cohens kappa score: 0.951

-> test with 'KNN'
KNN tn, fp: 556, 4
KNN fn, tp: 0, 21
KNN f1 score: 0.913
KNN cohens kappa score: 0.909


------ Step 3/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2156 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 35s - loss: 2.5245e-11
 42/224 [====>.........................] - ETA: 0s - loss: 0.0593     
 79/224 [=========>....................] - ETA: 0s - loss: 0.0595
118/224 [==============>...............] - ETA: 0s - loss: 0.0421
159/224 [====================>.........] - ETA: 0s - loss: 0.0354
198/224 [=========================>....] - ETA: 0s - loss: 0.0402
224/224 [==============================] - 0s 1ms/step - loss: 0.0390
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 7.2287e-05
 39/224 [====>.........................] - ETA: 0s - loss: 0.0131    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0135
126/224 [===============>..............] - ETA: 0s - loss: 0.0130
170/224 [=====================>........] - ETA: 0s - loss: 0.0108
212/224 [===========================>..] - ETA: 0s - loss: 0.0141
224/224 [==============================] - 0s 1ms/step - loss: 0.0137
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 0.0012
 45/224 [=====>........................] - ETA: 0s - loss: 0.0015
 88/224 [==========>...................] - ETA: 0s - loss: 0.0059
131/224 [================>.............] - ETA: 0s - loss: 0.0071
175/224 [======================>.......] - ETA: 0s - loss: 0.0060
219/224 [============================>.] - ETA: 0s - loss: 0.0077
224/224 [==============================] - 0s 1ms/step - loss: 0.0076
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 2.8173e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0037    
 86/224 [==========>...................] - ETA: 0s - loss: 0.0083
130/224 [================>.............] - ETA: 0s - loss: 0.0061
174/224 [======================>.......] - ETA: 0s - loss: 0.0060
218/224 [============================>.] - ETA: 0s - loss: 0.0057
224/224 [==============================] - 0s 1ms/step - loss: 0.0058
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 7.4270e-04
 45/224 [=====>........................] - ETA: 0s - loss: 0.0024    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0066
124/224 [===============>..............] - ETA: 0s - loss: 0.0057
167/224 [=====================>........] - ETA: 0s - loss: 0.0050
211/224 [===========================>..] - ETA: 0s - loss: 0.0044
224/224 [==============================] - 0s 1ms/step - loss: 0.0042
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 5.5732e-04
 37/224 [===>..........................] - ETA: 0s - loss: 0.0046    
 76/224 [=========>....................] - ETA: 0s - loss: 0.0033
116/224 [==============>...............] - ETA: 0s - loss: 0.0052
157/224 [====================>.........] - ETA: 0s - loss: 0.0047
200/224 [=========================>....] - ETA: 0s - loss: 0.0040
224/224 [==============================] - 0s 1ms/step - loss: 0.0039
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0017
 46/224 [=====>........................] - ETA: 0s - loss: 0.0069
 90/224 [===========>..................] - ETA: 0s - loss: 0.0042
134/224 [================>.............] - ETA: 0s - loss: 0.0039
175/224 [======================>.......] - ETA: 0s - loss: 0.0035
219/224 [============================>.] - ETA: 0s - loss: 0.0029
224/224 [==============================] - 0s 1ms/step - loss: 0.0028
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 6.6300e-11
 45/224 [=====>........................] - ETA: 0s - loss: 0.0016    
 89/224 [==========>...................] - ETA: 0s - loss: 0.0012
133/224 [================>.............] - ETA: 0s - loss: 0.0014
175/224 [======================>.......] - ETA: 0s - loss: 0.0031
219/224 [============================>.] - ETA: 0s - loss: 0.0029
224/224 [==============================] - 0s 1ms/step - loss: 0.0028
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.2688e-06
 45/224 [=====>........................] - ETA: 0s - loss: 8.4632e-04
 89/224 [==========>...................] - ETA: 0s - loss: 0.0011    
133/224 [================>.............] - ETA: 0s - loss: 0.0013
176/224 [======================>.......] - ETA: 0s - loss: 0.0012
220/224 [============================>.] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0023
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 1.3466e-04
 44/224 [====>.........................] - ETA: 0s - loss: 0.0028    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0016
131/224 [================>.............] - ETA: 0s - loss: 0.0036
174/224 [======================>.......] - ETA: 0s - loss: 0.0030
218/224 [============================>.] - ETA: 0s - loss: 0.0029
224/224 [==============================] - 0s 1ms/step - loss: 0.0028
-> test with GAN.predict
GAN tn, fp: 553, 3
GAN fn, tp: 0, 21
GAN f1 score: 0.933
GAN cohens kappa score: 0.931

-> test with 'LR'
LR tn, fp: 538, 18
LR fn, tp: 0, 21
LR f1 score: 0.700
LR cohens kappa score: 0.685
LR average precision score: 0.957

-> test with 'RF'
RF tn, fp: 555, 1
RF fn, tp: 0, 21
RF f1 score: 0.977
RF cohens kappa score: 0.976

-> test with 'GB'
GB tn, fp: 555, 1
GB fn, tp: 0, 21
GB f1 score: 0.977
GB cohens kappa score: 0.976

-> test with 'KNN'
KNN tn, fp: 546, 10
KNN fn, tp: 0, 21
KNN f1 score: 0.808
KNN cohens kappa score: 0.799


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

------ Step 4/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 45s - loss: 1.0530e-10
 35/224 [===>..........................] - ETA: 0s - loss: 0.0788     
 71/224 [========>.....................] - ETA: 0s - loss: 0.0541
111/224 [=============>................] - ETA: 0s - loss: 0.0393
147/224 [==================>...........] - ETA: 0s - loss: 0.0403
186/224 [=======================>......] - ETA: 0s - loss: 0.0391
224/224 [==============================] - 1s 1ms/step - loss: 0.0393
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 0.0018
 41/224 [====>.........................] - ETA: 0s - loss: 1.3577e-04
 78/224 [=========>....................] - ETA: 0s - loss: 0.0224    
117/224 [==============>...............] - ETA: 0s - loss: 0.0310
152/224 [===================>..........] - ETA: 0s - loss: 0.0240
186/224 [=======================>......] - ETA: 0s - loss: 0.0277
221/224 [============================>.] - ETA: 0s - loss: 0.0246
224/224 [==============================] - 0s 1ms/step - loss: 0.0243
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 6.5893e-09
 36/224 [===>..........................] - ETA: 0s - loss: 0.0546    
 75/224 [=========>....................] - ETA: 0s - loss: 0.0468
114/224 [==============>...............] - ETA: 0s - loss: 0.0346
155/224 [===================>..........] - ETA: 0s - loss: 0.0275
191/224 [========================>.....] - ETA: 0s - loss: 0.0232
224/224 [==============================] - 0s 1ms/step - loss: 0.0198
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 1.1716e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0032    
 85/224 [==========>...................] - ETA: 0s - loss: 0.0017
125/224 [===============>..............] - ETA: 0s - loss: 0.0079
166/224 [=====================>........] - ETA: 0s - loss: 0.0139
206/224 [==========================>...] - ETA: 0s - loss: 0.0164
224/224 [==============================] - 0s 1ms/step - loss: 0.0151
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 8.7533e-08
 40/224 [====>.........................] - ETA: 0s - loss: 2.5173e-04
 78/224 [=========>....................] - ETA: 0s - loss: 0.0010    
114/224 [==============>...............] - ETA: 0s - loss: 0.0074
149/224 [==================>...........] - ETA: 0s - loss: 0.0095
181/224 [=======================>......] - ETA: 0s - loss: 0.0133
220/224 [============================>.] - ETA: 0s - loss: 0.0120
224/224 [==============================] - 0s 1ms/step - loss: 0.0118
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 1.8781e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0134    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0094
121/224 [===============>..............] - ETA: 0s - loss: 0.0095
162/224 [====================>.........] - ETA: 0s - loss: 0.0131
202/224 [==========================>...] - ETA: 0s - loss: 0.0108
224/224 [==============================] - 0s 1ms/step - loss: 0.0104
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 8.5527e-04
 42/224 [====>.........................] - ETA: 0s - loss: 6.5404e-04
 83/224 [==========>...................] - ETA: 0s - loss: 0.0109    
124/224 [===============>..............] - ETA: 0s - loss: 0.0076
165/224 [=====================>........] - ETA: 0s - loss: 0.0095
204/224 [==========================>...] - ETA: 0s - loss: 0.0093
224/224 [==============================] - 0s 1ms/step - loss: 0.0086
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 8.0254e-04
 41/224 [====>.........................] - ETA: 0s - loss: 5.6022e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0038    
122/224 [===============>..............] - ETA: 0s - loss: 0.0051
162/224 [====================>.........] - ETA: 0s - loss: 0.0053
203/224 [==========================>...] - ETA: 0s - loss: 0.0060
224/224 [==============================] - 0s 1ms/step - loss: 0.0068
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 4.8820e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0081    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0070
122/224 [===============>..............] - ETA: 0s - loss: 0.0076
160/224 [====================>.........] - ETA: 0s - loss: 0.0062
197/224 [=========================>....] - ETA: 0s - loss: 0.0062
224/224 [==============================] - 0s 1ms/step - loss: 0.0055
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 9.0390e-04
 39/224 [====>.........................] - ETA: 0s - loss: 0.0092    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0069
122/224 [===============>..............] - ETA: 0s - loss: 0.0058
164/224 [====================>.........] - ETA: 0s - loss: 0.0051
204/224 [==========================>...] - ETA: 0s - loss: 0.0060
224/224 [==============================] - 0s 1ms/step - loss: 0.0055
-> test with GAN.predict
GAN tn, fp: 557, 3
GAN fn, tp: 0, 21
GAN f1 score: 0.933
GAN cohens kappa score: 0.931

-> test with 'LR'
LR tn, fp: 548, 12
LR fn, tp: 1, 20
LR f1 score: 0.755
LR cohens kappa score: 0.744
LR average precision score: 0.934

-> test with 'RF'
RF tn, fp: 558, 2
RF fn, tp: 0, 21
RF f1 score: 0.955
RF cohens kappa score: 0.953

-> test with 'GB'
GB tn, fp: 558, 2
GB fn, tp: 1, 20
GB f1 score: 0.930
GB cohens kappa score: 0.928

-> test with 'KNN'
KNN tn, fp: 551, 9
KNN fn, tp: 0, 21
KNN f1 score: 0.824
KNN cohens kappa score: 0.816


------ Step 4/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 50s - loss: 8.9630e-15
 39/224 [====>.........................] - ETA: 0s - loss: 0.0466     
 80/224 [=========>....................] - ETA: 0s - loss: 0.0599
119/224 [==============>...............] - ETA: 0s - loss: 0.0470
160/224 [====================>.........] - ETA: 0s - loss: 0.0516
200/224 [=========================>....] - ETA: 0s - loss: 0.0421
224/224 [==============================] - 1s 1ms/step - loss: 0.0381
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 2.3993e-07
 42/224 [====>.........................] - ETA: 0s - loss: 0.0310    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0292
123/224 [===============>..............] - ETA: 0s - loss: 0.0264
164/224 [====================>.........] - ETA: 0s - loss: 0.0200
204/224 [==========================>...] - ETA: 0s - loss: 0.0185
224/224 [==============================] - 0s 1ms/step - loss: 0.0169
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 0.0013
 41/224 [====>.........................] - ETA: 0s - loss: 1.6480e-04
 82/224 [=========>....................] - ETA: 0s - loss: 0.0096    
122/224 [===============>..............] - ETA: 0s - loss: 0.0206
161/224 [====================>.........] - ETA: 0s - loss: 0.0157
201/224 [=========================>....] - ETA: 0s - loss: 0.0131
224/224 [==============================] - 0s 1ms/step - loss: 0.0119
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 1.9410e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0260    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0168
124/224 [===============>..............] - ETA: 0s - loss: 0.0118
164/224 [====================>.........] - ETA: 0s - loss: 0.0090
204/224 [==========================>...] - ETA: 0s - loss: 0.0074
224/224 [==============================] - 0s 1ms/step - loss: 0.0070
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 2.2879e-07
 41/224 [====>.........................] - ETA: 0s - loss: 9.0878e-04
 83/224 [==========>...................] - ETA: 0s - loss: 0.0075    
124/224 [===============>..............] - ETA: 0s - loss: 0.0060
160/224 [====================>.........] - ETA: 0s - loss: 0.0059
192/224 [========================>.....] - ETA: 0s - loss: 0.0051
223/224 [============================>.] - ETA: 0s - loss: 0.0044
224/224 [==============================] - 0s 1ms/step - loss: 0.0044
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 2.2050e-04
 41/224 [====>.........................] - ETA: 0s - loss: 2.9053e-04
 80/224 [=========>....................] - ETA: 0s - loss: 0.0015    
121/224 [===============>..............] - ETA: 0s - loss: 0.0024
161/224 [====================>.........] - ETA: 0s - loss: 0.0022
200/224 [=========================>....] - ETA: 0s - loss: 0.0023
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 6.1545e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0016    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0011
124/224 [===============>..............] - ETA: 0s - loss: 0.0011
162/224 [====================>.........] - ETA: 0s - loss: 0.0015
199/224 [=========================>....] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 6.2652e-05
 38/224 [====>.........................] - ETA: 0s - loss: 6.1318e-04
 76/224 [=========>....................] - ETA: 0s - loss: 8.5213e-04
116/224 [==============>...............] - ETA: 0s - loss: 7.3959e-04
157/224 [====================>.........] - ETA: 0s - loss: 8.8534e-04
197/224 [=========================>....] - ETA: 0s - loss: 7.6925e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.6886e-04
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 8.0312e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0010    
 82/224 [=========>....................] - ETA: 0s - loss: 7.2081e-04
120/224 [===============>..............] - ETA: 0s - loss: 7.1472e-04
161/224 [====================>.........] - ETA: 0s - loss: 6.1871e-04
197/224 [=========================>....] - ETA: 0s - loss: 5.3970e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.2807e-04
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 1.7552e-08
 42/224 [====>.........................] - ETA: 0s - loss: 2.1574e-04
 82/224 [=========>....................] - ETA: 0s - loss: 2.0972e-04
123/224 [===============>..............] - ETA: 0s - loss: 1.9061e-04
164/224 [====================>.........] - ETA: 0s - loss: 2.0756e-04
205/224 [==========================>...] - ETA: 0s - loss: 2.1984e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.5830e-04
-> test with GAN.predict
GAN tn, fp: 559, 1
GAN fn, tp: 1, 20
GAN f1 score: 0.952
GAN cohens kappa score: 0.951

-> test with 'LR'
LR tn, fp: 543, 17
LR fn, tp: 0, 21
LR f1 score: 0.712
LR cohens kappa score: 0.698
LR average precision score: 0.973

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 0, 21
RF f1 score: 1.000
RF cohens kappa score: 1.000

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 0, 21
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 551, 9
KNN fn, tp: 0, 21
KNN f1 score: 0.824
KNN cohens kappa score: 0.816


------ Step 4/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 41s - loss: 1.9106e-10
 35/224 [===>..........................] - ETA: 0s - loss: 0.0063     
 70/224 [========>.....................] - ETA: 0s - loss: 0.0219
104/224 [============>.................] - ETA: 0s - loss: 0.0295
143/224 [==================>...........] - ETA: 0s - loss: 0.0275
184/224 [=======================>......] - ETA: 0s - loss: 0.0215
223/224 [============================>.] - ETA: 0s - loss: 0.0177
224/224 [==============================] - 0s 1ms/step - loss: 0.0177
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 5.6291e-11
 37/224 [===>..........................] - ETA: 0s - loss: 5.5039e-04
 70/224 [========>.....................] - ETA: 0s - loss: 3.7497e-04
105/224 [=============>................] - ETA: 0s - loss: 0.0073    
147/224 [==================>...........] - ETA: 0s - loss: 0.0053
188/224 [========================>.....] - ETA: 0s - loss: 0.0041
224/224 [==============================] - 0s 1ms/step - loss: 0.0062
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.9407e-06
 42/224 [====>.........................] - ETA: 0s - loss: 7.4270e-04
 82/224 [=========>....................] - ETA: 0s - loss: 3.9515e-04
121/224 [===============>..............] - ETA: 0s - loss: 6.7528e-04
156/224 [===================>..........] - ETA: 0s - loss: 0.0016    
196/224 [=========================>....] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 1.6063e-04
 42/224 [====>.........................] - ETA: 0s - loss: 1.3680e-05
 82/224 [=========>....................] - ETA: 0s - loss: 1.1006e-05
123/224 [===============>..............] - ETA: 0s - loss: 4.7995e-05
164/224 [====================>.........] - ETA: 0s - loss: 1.6765e-04
206/224 [==========================>...] - ETA: 0s - loss: 2.3512e-04
224/224 [==============================] - 0s 1ms/step - loss: 2.1996e-04
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 6.7789e-15
 41/224 [====>.........................] - ETA: 0s - loss: 9.1729e-06
 83/224 [==========>...................] - ETA: 0s - loss: 1.6985e-05
122/224 [===============>..............] - ETA: 0s - loss: 1.2746e-05
161/224 [====================>.........] - ETA: 0s - loss: 9.9915e-05
203/224 [==========================>...] - ETA: 0s - loss: 1.0833e-04
224/224 [==============================] - 0s 1ms/step - loss: 1.0006e-04
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 1.8326e-07
 43/224 [====>.........................] - ETA: 0s - loss: 3.2785e-05
 83/224 [==========>...................] - ETA: 0s - loss: 3.7022e-05
125/224 [===============>..............] - ETA: 0s - loss: 3.7952e-05
166/224 [=====================>........] - ETA: 0s - loss: 4.0952e-05
206/224 [==========================>...] - ETA: 0s - loss: 5.0158e-05
224/224 [==============================] - 0s 1ms/step - loss: 4.9630e-05
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 5.4607e-10
 41/224 [====>.........................] - ETA: 0s - loss: 5.6637e-05
 82/224 [=========>....................] - ETA: 0s - loss: 4.6443e-05
122/224 [===============>..............] - ETA: 0s - loss: 3.5633e-05
163/224 [====================>.........] - ETA: 0s - loss: 3.2731e-05
204/224 [==========================>...] - ETA: 0s - loss: 4.7301e-05
224/224 [==============================] - 0s 1ms/step - loss: 4.4028e-05
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 3.7400e-05
 41/224 [====>.........................] - ETA: 0s - loss: 4.5030e-05
 80/224 [=========>....................] - ETA: 0s - loss: 4.5729e-05
121/224 [===============>..............] - ETA: 0s - loss: 4.3593e-05
157/224 [====================>.........] - ETA: 0s - loss: 3.7417e-05
190/224 [========================>.....] - ETA: 0s - loss: 3.7068e-05
224/224 [==============================] - 0s 1ms/step - loss: 4.0017e-05
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.5524e-08
 40/224 [====>.........................] - ETA: 0s - loss: 2.8078e-05
 77/224 [=========>....................] - ETA: 0s - loss: 3.3415e-05
117/224 [==============>...............] - ETA: 0s - loss: 2.7406e-05
158/224 [====================>.........] - ETA: 0s - loss: 2.7830e-05
199/224 [=========================>....] - ETA: 0s - loss: 3.7210e-05
224/224 [==============================] - 0s 1ms/step - loss: 3.6449e-05
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 2.8370e-11
 41/224 [====>.........................] - ETA: 0s - loss: 6.4753e-05
 82/224 [=========>....................] - ETA: 0s - loss: 4.9259e-05
124/224 [===============>..............] - ETA: 0s - loss: 4.0065e-05
164/224 [====================>.........] - ETA: 0s - loss: 4.2141e-05
203/224 [==========================>...] - ETA: 0s - loss: 3.4770e-05
224/224 [==============================] - 0s 1ms/step - loss: 3.3280e-05
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 6, 15
GAN f1 score: 0.833
GAN cohens kappa score: 0.828

-> test with 'LR'
LR tn, fp: 548, 12
LR fn, tp: 4, 17
LR f1 score: 0.680
LR cohens kappa score: 0.666
LR average precision score: 0.830

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 4, 17
RF f1 score: 0.895
RF cohens kappa score: 0.891

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 3, 18
GB f1 score: 0.923
GB cohens kappa score: 0.920

-> test with 'KNN'
KNN tn, fp: 552, 8
KNN fn, tp: 1, 20
KNN f1 score: 0.816
KNN cohens kappa score: 0.808


------ Step 4/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 48s - loss: 5.1064e-11
 35/224 [===>..........................] - ETA: 0s - loss: 0.0809     
 74/224 [========>.....................] - ETA: 0s - loss: 0.0850
112/224 [==============>...............] - ETA: 0s - loss: 0.0597
153/224 [===================>..........] - ETA: 0s - loss: 0.0461
194/224 [========================>.....] - ETA: 0s - loss: 0.0482
224/224 [==============================] - 1s 1ms/step - loss: 0.0422
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 9.7940e-07
 41/224 [====>.........................] - ETA: 0s - loss: 0.0127    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0185
123/224 [===============>..............] - ETA: 0s - loss: 0.0195
164/224 [====================>.........] - ETA: 0s - loss: 0.0148
205/224 [==========================>...] - ETA: 0s - loss: 0.0120
224/224 [==============================] - 0s 1ms/step - loss: 0.0111
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.2234e-07
 40/224 [====>.........................] - ETA: 0s - loss: 0.0137    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0128
118/224 [==============>...............] - ETA: 0s - loss: 0.0088
159/224 [====================>.........] - ETA: 0s - loss: 0.0067
199/224 [=========================>....] - ETA: 0s - loss: 0.0056
224/224 [==============================] - 0s 1ms/step - loss: 0.0050
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 4.5406e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0029    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0032
116/224 [==============>...............] - ETA: 0s - loss: 0.0041
153/224 [===================>..........] - ETA: 0s - loss: 0.0037
192/224 [========================>.....] - ETA: 0s - loss: 0.0047
224/224 [==============================] - 0s 1ms/step - loss: 0.0042
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 2.3252e-11
 42/224 [====>.........................] - ETA: 0s - loss: 2.3006e-04
 82/224 [=========>....................] - ETA: 0s - loss: 5.5247e-04
122/224 [===============>..............] - ETA: 0s - loss: 6.0715e-04
160/224 [====================>.........] - ETA: 0s - loss: 8.5231e-04
201/224 [=========================>....] - ETA: 0s - loss: 0.0012    
224/224 [==============================] - 0s 1ms/step - loss: 0.0026
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 5.6127e-04
 41/224 [====>.........................] - ETA: 0s - loss: 2.2473e-04
 81/224 [=========>....................] - ETA: 0s - loss: 6.6365e-04
121/224 [===============>..............] - ETA: 0s - loss: 8.5650e-04
161/224 [====================>.........] - ETA: 0s - loss: 0.0012    
202/224 [==========================>...] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0022
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0070
 42/224 [====>.........................] - ETA: 0s - loss: 0.0071
 84/224 [==========>...................] - ETA: 0s - loss: 0.0044
127/224 [================>.............] - ETA: 0s - loss: 0.0029
170/224 [=====================>........] - ETA: 0s - loss: 0.0027
210/224 [===========================>..] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0023
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 2.1749e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0017    
 74/224 [========>.....................] - ETA: 0s - loss: 0.0011
107/224 [=============>................] - ETA: 0s - loss: 8.8471e-04
142/224 [==================>...........] - ETA: 0s - loss: 8.8432e-04
183/224 [=======================>......] - ETA: 0s - loss: 0.0018    
224/224 [==============================] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.5082e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0011    
 74/224 [========>.....................] - ETA: 0s - loss: 6.6751e-04
115/224 [==============>...............] - ETA: 0s - loss: 9.7059e-04
155/224 [===================>..........] - ETA: 0s - loss: 9.7898e-04
195/224 [=========================>....] - ETA: 0s - loss: 8.1106e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0015
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 0.0245
 42/224 [====>.........................] - ETA: 0s - loss: 0.0030
 83/224 [==========>...................] - ETA: 0s - loss: 0.0016
124/224 [===============>..............] - ETA: 0s - loss: 0.0012
165/224 [=====================>........] - ETA: 0s - loss: 0.0011
204/224 [==========================>...] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 1, 20
GAN f1 score: 0.976
GAN cohens kappa score: 0.975

-> test with 'LR'
LR tn, fp: 545, 15
LR fn, tp: 0, 21
LR f1 score: 0.737
LR cohens kappa score: 0.724
LR average precision score: 0.952

-> test with 'RF'
RF tn, fp: 559, 1
RF fn, tp: 1, 20
RF f1 score: 0.952
RF cohens kappa score: 0.951

-> test with 'GB'
GB tn, fp: 559, 1
GB fn, tp: 1, 20
GB f1 score: 0.952
GB cohens kappa score: 0.951

-> test with 'KNN'
KNN tn, fp: 555, 5
KNN fn, tp: 1, 20
KNN f1 score: 0.870
KNN cohens kappa score: 0.864


------ Step 4/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2156 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 38s - loss: 0.3814
 43/224 [====>.........................] - ETA: 0s - loss: 0.0564 
 85/224 [==========>...................] - ETA: 0s - loss: 0.0481
125/224 [===============>..............] - ETA: 0s - loss: 0.0330
165/224 [=====================>........] - ETA: 0s - loss: 0.0282
203/224 [==========================>...] - ETA: 0s - loss: 0.0248
224/224 [==============================] - 0s 1ms/step - loss: 0.0246
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 1.6598e-04
 39/224 [====>.........................] - ETA: 0s - loss: 0.0036    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0064
123/224 [===============>..............] - ETA: 0s - loss: 0.0059
165/224 [=====================>........] - ETA: 0s - loss: 0.0062
206/224 [==========================>...] - ETA: 0s - loss: 0.0051
224/224 [==============================] - 0s 1ms/step - loss: 0.0068
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 4.2412e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0019    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0042
111/224 [=============>................] - ETA: 0s - loss: 0.0039
149/224 [==================>...........] - ETA: 0s - loss: 0.0054
191/224 [========================>.....] - ETA: 0s - loss: 0.0044
224/224 [==============================] - 0s 1ms/step - loss: 0.0038
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 5.7375e-10
 44/224 [====>.........................] - ETA: 0s - loss: 7.1987e-04
 84/224 [==========>...................] - ETA: 0s - loss: 6.5316e-04
125/224 [===============>..............] - ETA: 0s - loss: 0.0014    
166/224 [=====================>........] - ETA: 0s - loss: 0.0011
207/224 [==========================>...] - ETA: 0s - loss: 9.4823e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.9172e-04
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 4.7698e-06
 42/224 [====>.........................] - ETA: 0s - loss: 0.0020    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0014
124/224 [===============>..............] - ETA: 0s - loss: 0.0011
165/224 [=====================>........] - ETA: 0s - loss: 0.0012
207/224 [==========================>...] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 9.4750e-04
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 7.5998e-07
 42/224 [====>.........................] - ETA: 0s - loss: 0.0012    
 82/224 [=========>....................] - ETA: 0s - loss: 9.7051e-04
123/224 [===============>..............] - ETA: 0s - loss: 6.8443e-04
164/224 [====================>.........] - ETA: 0s - loss: 5.4953e-04
204/224 [==========================>...] - ETA: 0s - loss: 4.7181e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.9066e-04
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 6.7185e-04
 43/224 [====>.........................] - ETA: 0s - loss: 2.4726e-04
 84/224 [==========>...................] - ETA: 0s - loss: 4.9543e-04
125/224 [===============>..............] - ETA: 0s - loss: 7.6842e-04
166/224 [=====================>........] - ETA: 0s - loss: 6.9163e-04
206/224 [==========================>...] - ETA: 0s - loss: 6.0602e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.0541e-04
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 3.7532e-08
 43/224 [====>.........................] - ETA: 0s - loss: 1.1504e-04
 85/224 [==========>...................] - ETA: 0s - loss: 8.8516e-05
125/224 [===============>..............] - ETA: 0s - loss: 8.9095e-04
165/224 [=====================>........] - ETA: 0s - loss: 7.3884e-04
203/224 [==========================>...] - ETA: 0s - loss: 7.0988e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.4972e-04
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.2102e-05
 43/224 [====>.........................] - ETA: 0s - loss: 1.8960e-04
 81/224 [=========>....................] - ETA: 0s - loss: 9.0607e-04
123/224 [===============>..............] - ETA: 0s - loss: 6.3719e-04
165/224 [=====================>........] - ETA: 0s - loss: 5.1576e-04
205/224 [==========================>...] - ETA: 0s - loss: 4.3802e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.0584e-04
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 6.0944e-09
 42/224 [====>.........................] - ETA: 0s - loss: 1.4635e-04
 83/224 [==========>...................] - ETA: 0s - loss: 1.4144e-04
124/224 [===============>..............] - ETA: 0s - loss: 1.0296e-04
164/224 [====================>.........] - ETA: 0s - loss: 2.8865e-04
201/224 [=========================>....] - ETA: 0s - loss: 2.5046e-04
224/224 [==============================] - 0s 1ms/step - loss: 2.3648e-04
-> test with GAN.predict
GAN tn, fp: 556, 0
GAN fn, tp: 1, 20
GAN f1 score: 0.976
GAN cohens kappa score: 0.975

-> test with 'LR'
LR tn, fp: 551, 5
LR fn, tp: 1, 20
LR f1 score: 0.870
LR cohens kappa score: 0.864
LR average precision score: 0.945

-> test with 'RF'
RF tn, fp: 556, 0
RF fn, tp: 1, 20
RF f1 score: 0.976
RF cohens kappa score: 0.975

-> test with 'GB'
GB tn, fp: 556, 0
GB fn, tp: 2, 19
GB f1 score: 0.950
GB cohens kappa score: 0.948

-> test with 'KNN'
KNN tn, fp: 552, 4
KNN fn, tp: 0, 21
KNN f1 score: 0.913
KNN cohens kappa score: 0.909


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

------ Step 5/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 49s - loss: 8.1962e-08
 40/224 [====>.........................] - ETA: 0s - loss: 0.0537     
 79/224 [=========>....................] - ETA: 0s - loss: 0.0371
118/224 [==============>...............] - ETA: 0s - loss: 0.0279
156/224 [===================>..........] - ETA: 0s - loss: 0.0232
194/224 [========================>.....] - ETA: 0s - loss: 0.0190
224/224 [==============================] - 1s 1ms/step - loss: 0.0194
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 2.0847e-04
 40/224 [====>.........................] - ETA: 0s - loss: 3.3156e-04
 79/224 [=========>....................] - ETA: 0s - loss: 0.0035    
118/224 [==============>...............] - ETA: 0s - loss: 0.0025
157/224 [====================>.........] - ETA: 0s - loss: 0.0065
195/224 [=========================>....] - ETA: 0s - loss: 0.0069
224/224 [==============================] - 0s 1ms/step - loss: 0.0060
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.5993e-04
 39/224 [====>.........................] - ETA: 0s - loss: 8.7824e-04
 78/224 [=========>....................] - ETA: 0s - loss: 0.0066    
117/224 [==============>...............] - ETA: 0s - loss: 0.0045
156/224 [===================>..........] - ETA: 0s - loss: 0.0035
194/224 [========================>.....] - ETA: 0s - loss: 0.0028
224/224 [==============================] - 0s 1ms/step - loss: 0.0031
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 4.9413e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0105    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0056
117/224 [==============>...............] - ETA: 0s - loss: 0.0044
152/224 [===================>..........] - ETA: 0s - loss: 0.0037
189/224 [========================>.....] - ETA: 0s - loss: 0.0030
224/224 [==============================] - ETA: 0s - loss: 0.0026
224/224 [==============================] - 0s 1ms/step - loss: 0.0026
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 2.5210e-09
 39/224 [====>.........................] - ETA: 0s - loss: 6.8577e-05
 77/224 [=========>....................] - ETA: 0s - loss: 2.3511e-04
117/224 [==============>...............] - ETA: 0s - loss: 7.9320e-04
156/224 [===================>..........] - ETA: 0s - loss: 6.8620e-04
195/224 [=========================>....] - ETA: 0s - loss: 0.0024    
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 3.0732e-10
 39/224 [====>.........................] - ETA: 0s - loss: 0.0101    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0052
111/224 [=============>................] - ETA: 0s - loss: 0.0039
145/224 [==================>...........] - ETA: 0s - loss: 0.0030
179/224 [======================>.......] - ETA: 0s - loss: 0.0025
214/224 [===========================>..] - ETA: 0s - loss: 0.0021
224/224 [==============================] - 0s 1ms/step - loss: 0.0020
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 4.3688e-07
 38/224 [====>.........................] - ETA: 0s - loss: 6.8762e-04
 76/224 [=========>....................] - ETA: 0s - loss: 4.4792e-04
115/224 [==============>...............] - ETA: 0s - loss: 3.2178e-04
154/224 [===================>..........] - ETA: 0s - loss: 2.7655e-04
192/224 [========================>.....] - ETA: 0s - loss: 0.0015    
224/224 [==============================] - 0s 1ms/step - loss: 0.0021
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 1.1856e-04
 39/224 [====>.........................] - ETA: 0s - loss: 7.3898e-04
 77/224 [=========>....................] - ETA: 0s - loss: 4.0415e-04
114/224 [==============>...............] - ETA: 0s - loss: 0.0033    
153/224 [===================>..........] - ETA: 0s - loss: 0.0025
191/224 [========================>.....] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.5573e-04
 39/224 [====>.........................] - ETA: 0s - loss: 1.0241e-04
 77/224 [=========>....................] - ETA: 0s - loss: 1.3652e-04
115/224 [==============>...............] - ETA: 0s - loss: 2.0805e-04
153/224 [===================>..........] - ETA: 0s - loss: 1.8437e-04
191/224 [========================>.....] - ETA: 0s - loss: 8.3484e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 6.4855e-05
 39/224 [====>.........................] - ETA: 0s - loss: 0.0043    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0025
114/224 [==============>...............] - ETA: 0s - loss: 0.0030
151/224 [===================>..........] - ETA: 0s - loss: 0.0037
190/224 [========================>.....] - ETA: 0s - loss: 0.0030
224/224 [==============================] - 0s 1ms/step - loss: 0.0026
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 2, 19
GAN f1 score: 0.950
GAN cohens kappa score: 0.948

-> test with 'LR'
LR tn, fp: 544, 16
LR fn, tp: 0, 21
LR f1 score: 0.724
LR cohens kappa score: 0.711
LR average precision score: 0.979

-> test with 'RF'
RF tn, fp: 558, 2
RF fn, tp: 1, 20
RF f1 score: 0.930
RF cohens kappa score: 0.928

-> test with 'GB'
GB tn, fp: 559, 1
GB fn, tp: 0, 21
GB f1 score: 0.977
GB cohens kappa score: 0.976

-> test with 'KNN'
KNN tn, fp: 552, 8
KNN fn, tp: 1, 20
KNN f1 score: 0.816
KNN cohens kappa score: 0.808


------ Step 5/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 53s - loss: 3.9335e-09
 36/224 [===>..........................] - ETA: 0s - loss: 0.0329     
 74/224 [========>.....................] - ETA: 0s - loss: 0.0302
109/224 [=============>................] - ETA: 0s - loss: 0.0240
142/224 [==================>...........] - ETA: 0s - loss: 0.0225
173/224 [======================>.......] - ETA: 0s - loss: 0.0185
205/224 [==========================>...] - ETA: 0s - loss: 0.0172
224/224 [==============================] - 1s 1ms/step - loss: 0.0165
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 6.4027e-04
 29/224 [==>...........................] - ETA: 0s - loss: 0.0153    
 61/224 [=======>......................] - ETA: 0s - loss: 0.0075
 94/224 [===========>..................] - ETA: 0s - loss: 0.0057
126/224 [===============>..............] - ETA: 0s - loss: 0.0057
155/224 [===================>..........] - ETA: 0s - loss: 0.0053
188/224 [========================>.....] - ETA: 0s - loss: 0.0049
222/224 [============================>.] - ETA: 0s - loss: 0.0044
224/224 [==============================] - 0s 2ms/step - loss: 0.0043
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 4.7933e-06
 32/224 [===>..........................] - ETA: 0s - loss: 0.0046    
 58/224 [======>.......................] - ETA: 0s - loss: 0.0030
 90/224 [===========>..................] - ETA: 0s - loss: 0.0037
119/224 [==============>...............] - ETA: 0s - loss: 0.0037
142/224 [==================>...........] - ETA: 0s - loss: 0.0034
172/224 [======================>.......] - ETA: 0s - loss: 0.0030
203/224 [==========================>...] - ETA: 0s - loss: 0.0028
224/224 [==============================] - 0s 2ms/step - loss: 0.0026
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 3.3156e-07
 32/224 [===>..........................] - ETA: 0s - loss: 0.0023    
 67/224 [=======>......................] - ETA: 0s - loss: 0.0019
101/224 [============>.................] - ETA: 0s - loss: 0.0017
135/224 [=================>............] - ETA: 0s - loss: 0.0014
170/224 [=====================>........] - ETA: 0s - loss: 0.0018
203/224 [==========================>...] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 2ms/step - loss: 0.0019
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 8.8280e-06
 36/224 [===>..........................] - ETA: 0s - loss: 0.0012    
 71/224 [========>.....................] - ETA: 0s - loss: 6.9464e-04
103/224 [============>.................] - ETA: 0s - loss: 8.0194e-04
136/224 [=================>............] - ETA: 0s - loss: 7.9696e-04
162/224 [====================>.........] - ETA: 0s - loss: 7.0594e-04
194/224 [========================>.....] - ETA: 0s - loss: 8.6536e-04
224/224 [==============================] - 0s 2ms/step - loss: 0.0014
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 2.1639e-07
 35/224 [===>..........................] - ETA: 0s - loss: 7.3483e-04
 70/224 [========>.....................] - ETA: 0s - loss: 0.0014    
104/224 [============>.................] - ETA: 0s - loss: 0.0013
133/224 [================>.............] - ETA: 0s - loss: 0.0011
168/224 [=====================>........] - ETA: 0s - loss: 9.4731e-04
205/224 [==========================>...] - ETA: 0s - loss: 9.0297e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 4.9580e-04
 37/224 [===>..........................] - ETA: 0s - loss: 8.0688e-04
 72/224 [========>.....................] - ETA: 0s - loss: 5.2370e-04
108/224 [=============>................] - ETA: 0s - loss: 5.4143e-04
145/224 [==================>...........] - ETA: 0s - loss: 5.0065e-04
181/224 [=======================>......] - ETA: 0s - loss: 9.8617e-04
217/224 [============================>.] - ETA: 0s - loss: 9.1368e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.9296e-04
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 3.4575e-04
 38/224 [====>.........................] - ETA: 0s - loss: 0.0020    
 71/224 [========>.....................] - ETA: 0s - loss: 0.0014
101/224 [============>.................] - ETA: 0s - loss: 0.0010
130/224 [================>.............] - ETA: 0s - loss: 9.5284e-04
162/224 [====================>.........] - ETA: 0s - loss: 8.7669e-04
195/224 [=========================>....] - ETA: 0s - loss: 7.6675e-04
224/224 [==============================] - 0s 2ms/step - loss: 8.2629e-04
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.2017e-06
 36/224 [===>..........................] - ETA: 0s - loss: 2.1537e-04
 71/224 [========>.....................] - ETA: 0s - loss: 4.2742e-04
107/224 [=============>................] - ETA: 0s - loss: 3.9316e-04
143/224 [==================>...........] - ETA: 0s - loss: 4.1121e-04
179/224 [======================>.......] - ETA: 0s - loss: 5.6796e-04
211/224 [===========================>..] - ETA: 0s - loss: 5.5358e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.8048e-04
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 5.8351e-07
 36/224 [===>..........................] - ETA: 0s - loss: 8.4770e-05
 74/224 [========>.....................] - ETA: 0s - loss: 2.1589e-04
111/224 [=============>................] - ETA: 0s - loss: 2.9774e-04
148/224 [==================>...........] - ETA: 0s - loss: 5.8832e-04
185/224 [=======================>......] - ETA: 0s - loss: 5.8523e-04
223/224 [============================>.] - ETA: 0s - loss: 5.1172e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.1035e-04
-> test with GAN.predict
GAN tn, fp: 558, 2
GAN fn, tp: 2, 19
GAN f1 score: 0.905
GAN cohens kappa score: 0.901

-> test with 'LR'
LR tn, fp: 550, 10
LR fn, tp: 1, 20
LR f1 score: 0.784
LR cohens kappa score: 0.775
LR average precision score: 0.936

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 3, 18
RF f1 score: 0.923
RF cohens kappa score: 0.920

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 4, 17
GB f1 score: 0.895
GB cohens kappa score: 0.891

-> test with 'KNN'
KNN tn, fp: 555, 5
KNN fn, tp: 1, 20
KNN f1 score: 0.870
KNN cohens kappa score: 0.864


------ Step 5/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 42s - loss: 0.1334
 40/224 [====>.........................] - ETA: 0s - loss: 0.0388 
 78/224 [=========>....................] - ETA: 0s - loss: 0.0273
118/224 [==============>...............] - ETA: 0s - loss: 0.0188
156/224 [===================>..........] - ETA: 0s - loss: 0.0198
192/224 [========================>.....] - ETA: 0s - loss: 0.0161
224/224 [==============================] - 0s 1ms/step - loss: 0.0151
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 1.1167e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0017    
 80/224 [=========>....................] - ETA: 0s - loss: 9.9085e-04
119/224 [==============>...............] - ETA: 0s - loss: 8.9338e-04
159/224 [====================>.........] - ETA: 0s - loss: 7.4505e-04
198/224 [=========================>....] - ETA: 0s - loss: 0.0024    
224/224 [==============================] - 0s 1ms/step - loss: 0.0022
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 1.0875e-04
 40/224 [====>.........................] - ETA: 0s - loss: 2.2011e-04
 80/224 [=========>....................] - ETA: 0s - loss: 2.1433e-04
120/224 [===============>..............] - ETA: 0s - loss: 0.0019    
162/224 [====================>.........] - ETA: 0s - loss: 0.0022
203/224 [==========================>...] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 6.3002e-06
 41/224 [====>.........................] - ETA: 0s - loss: 8.7254e-04
 81/224 [=========>....................] - ETA: 0s - loss: 5.8850e-04
120/224 [===============>..............] - ETA: 0s - loss: 5.6940e-04
157/224 [====================>.........] - ETA: 0s - loss: 4.8613e-04
198/224 [=========================>....] - ETA: 0s - loss: 0.0013    
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 6.6373e-04
 40/224 [====>.........................] - ETA: 0s - loss: 2.4604e-04
 78/224 [=========>....................] - ETA: 0s - loss: 1.9231e-04
118/224 [==============>...............] - ETA: 0s - loss: 2.5225e-04
159/224 [====================>.........] - ETA: 0s - loss: 2.2487e-04
199/224 [=========================>....] - ETA: 0s - loss: 0.0016    
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 4.7419e-05
 41/224 [====>.........................] - ETA: 0s - loss: 7.0713e-05
 80/224 [=========>....................] - ETA: 0s - loss: 7.9458e-05
120/224 [===============>..............] - ETA: 0s - loss: 0.0012    
157/224 [====================>.........] - ETA: 0s - loss: 0.0012
195/224 [=========================>....] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 7.5757e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0016    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0011
114/224 [==============>...............] - ETA: 0s - loss: 9.0710e-04
148/224 [==================>...........] - ETA: 0s - loss: 7.7738e-04
183/224 [=======================>......] - ETA: 0s - loss: 6.5256e-04
224/224 [==============================] - ETA: 0s - loss: 5.6571e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.6571e-04
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 7.2363e-06
 39/224 [====>.........................] - ETA: 0s - loss: 5.5879e-05
 78/224 [=========>....................] - ETA: 0s - loss: 0.0019    
116/224 [==============>...............] - ETA: 0s - loss: 0.0014
154/224 [===================>..........] - ETA: 0s - loss: 0.0011
196/224 [=========================>....] - ETA: 0s - loss: 8.8925e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.6310e-04
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 8.7253e-04
 40/224 [====>.........................] - ETA: 0s - loss: 1.5114e-04
 80/224 [=========>....................] - ETA: 0s - loss: 1.1340e-04
121/224 [===============>..............] - ETA: 0s - loss: 9.5526e-05
160/224 [====================>.........] - ETA: 0s - loss: 1.1536e-04
200/224 [=========================>....] - ETA: 0s - loss: 4.7571e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.2006e-04
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 3.0179e-04
 42/224 [====>.........................] - ETA: 0s - loss: 1.9012e-04
 81/224 [=========>....................] - ETA: 0s - loss: 4.2430e-04
121/224 [===============>..............] - ETA: 0s - loss: 4.1128e-04
160/224 [====================>.........] - ETA: 0s - loss: 3.1437e-04
200/224 [=========================>....] - ETA: 0s - loss: 3.2632e-04
224/224 [==============================] - 0s 1ms/step - loss: 2.9713e-04
-> test with GAN.predict
GAN tn, fp: 560, 0
GAN fn, tp: 2, 19
GAN f1 score: 0.950
GAN cohens kappa score: 0.948

-> test with 'LR'
LR tn, fp: 550, 10
LR fn, tp: 1, 20
LR f1 score: 0.784
LR cohens kappa score: 0.775
LR average precision score: 0.892

-> test with 'RF'
RF tn, fp: 560, 0
RF fn, tp: 1, 20
RF f1 score: 0.976
RF cohens kappa score: 0.975

-> test with 'GB'
GB tn, fp: 560, 0
GB fn, tp: 0, 21
GB f1 score: 1.000
GB cohens kappa score: 1.000

-> test with 'KNN'
KNN tn, fp: 551, 9
KNN fn, tp: 0, 21
KNN f1 score: 0.824
KNN cohens kappa score: 0.816


------ Step 5/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2152 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 46s - loss: 2.4943e-09
 42/224 [====>.........................] - ETA: 0s - loss: 0.0533     
 83/224 [==========>...................] - ETA: 0s - loss: 0.0284
124/224 [===============>..............] - ETA: 0s - loss: 0.0242
162/224 [====================>.........] - ETA: 0s - loss: 0.0230
197/224 [=========================>....] - ETA: 0s - loss: 0.0205
224/224 [==============================] - 1s 1ms/step - loss: 0.0188
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 2.6199e-09
 38/224 [====>.........................] - ETA: 0s - loss: 0.0091    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0046
120/224 [===============>..............] - ETA: 0s - loss: 0.0064
158/224 [====================>.........] - ETA: 0s - loss: 0.0077
199/224 [=========================>....] - ETA: 0s - loss: 0.0066
224/224 [==============================] - 0s 1ms/step - loss: 0.0065
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 5.5901e-08
 42/224 [====>.........................] - ETA: 0s - loss: 0.0046    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0025
120/224 [===============>..............] - ETA: 0s - loss: 0.0018
159/224 [====================>.........] - ETA: 0s - loss: 0.0015
199/224 [=========================>....] - ETA: 0s - loss: 0.0033
224/224 [==============================] - 0s 1ms/step - loss: 0.0030
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 4.0912e-05
 39/224 [====>.........................] - ETA: 0s - loss: 8.3982e-05
 78/224 [=========>....................] - ETA: 0s - loss: 3.5809e-04
118/224 [==============>...............] - ETA: 0s - loss: 0.0032    
157/224 [====================>.........] - ETA: 0s - loss: 0.0025
198/224 [=========================>....] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0022
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 3.6757e-07
 42/224 [====>.........................] - ETA: 0s - loss: 2.4913e-04
 83/224 [==========>...................] - ETA: 0s - loss: 0.0035    
124/224 [===============>..............] - ETA: 0s - loss: 0.0027
165/224 [=====================>........] - ETA: 0s - loss: 0.0022
206/224 [==========================>...] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 5.4334e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0085    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0050
123/224 [===============>..............] - ETA: 0s - loss: 0.0035
164/224 [====================>.........] - ETA: 0s - loss: 0.0028
205/224 [==========================>...] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0022
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 6.8744e-13
 41/224 [====>.........................] - ETA: 0s - loss: 9.0351e-05
 82/224 [=========>....................] - ETA: 0s - loss: 1.8255e-04
122/224 [===============>..............] - ETA: 0s - loss: 0.0022    
163/224 [====================>.........] - ETA: 0s - loss: 0.0017
205/224 [==========================>...] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 1.7189e-10
 41/224 [====>.........................] - ETA: 0s - loss: 3.7872e-04
 83/224 [==========>...................] - ETA: 0s - loss: 2.7405e-04
124/224 [===============>..............] - ETA: 0s - loss: 2.8961e-04
163/224 [====================>.........] - ETA: 0s - loss: 4.1946e-04
202/224 [==========================>...] - ETA: 0s - loss: 9.2587e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 1.2808e-08
 41/224 [====>.........................] - ETA: 0s - loss: 3.5436e-04
 77/224 [=========>....................] - ETA: 0s - loss: 0.0012    
111/224 [=============>................] - ETA: 0s - loss: 9.6709e-04
147/224 [==================>...........] - ETA: 0s - loss: 8.6513e-04
185/224 [=======================>......] - ETA: 0s - loss: 7.9909e-04
224/224 [==============================] - ETA: 0s - loss: 7.0074e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.0074e-04
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 4.1836e-06
 40/224 [====>.........................] - ETA: 0s - loss: 0.0018    
 79/224 [=========>....................] - ETA: 0s - loss: 9.7876e-04
118/224 [==============>...............] - ETA: 0s - loss: 7.7792e-04
158/224 [====================>.........] - ETA: 0s - loss: 0.0012    
198/224 [=========================>....] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
-> test with GAN.predict
GAN tn, fp: 559, 1
GAN fn, tp: 1, 20
GAN f1 score: 0.952
GAN cohens kappa score: 0.951

-> test with 'LR'
LR tn, fp: 546, 14
LR fn, tp: 1, 20
LR f1 score: 0.727
LR cohens kappa score: 0.715
LR average precision score: 0.919

-> test with 'RF'
RF tn, fp: 557, 3
RF fn, tp: 1, 20
RF f1 score: 0.909
RF cohens kappa score: 0.906

-> test with 'GB'
GB tn, fp: 559, 1
GB fn, tp: 1, 20
GB f1 score: 0.952
GB cohens kappa score: 0.951

-> test with 'KNN'
KNN tn, fp: 552, 8
KNN fn, tp: 0, 21
KNN f1 score: 0.840
KNN cohens kappa score: 0.833


------ Step 5/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 2156 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/224 [..............................] - ETA: 43s - loss: 1.9891e-09
 37/224 [===>..........................] - ETA: 0s - loss: 0.0450     
 73/224 [========>.....................] - ETA: 0s - loss: 0.0385
104/224 [============>.................] - ETA: 0s - loss: 0.0597
137/224 [=================>............] - ETA: 0s - loss: 0.0599
177/224 [======================>.......] - ETA: 0s - loss: 0.0582
209/224 [==========================>...] - ETA: 0s - loss: 0.0526
224/224 [==============================] - 1s 1ms/step - loss: 0.0500
Epoch 2/10

  1/224 [..............................] - ETA: 0s - loss: 0.0013
 40/224 [====>.........................] - ETA: 0s - loss: 0.0297
 78/224 [=========>....................] - ETA: 0s - loss: 0.0271
116/224 [==============>...............] - ETA: 0s - loss: 0.0269
155/224 [===================>..........] - ETA: 0s - loss: 0.0339
193/224 [========================>.....] - ETA: 0s - loss: 0.0289
224/224 [==============================] - 0s 1ms/step - loss: 0.0257
Epoch 3/10

  1/224 [..............................] - ETA: 0s - loss: 7.8259e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0615    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0321
121/224 [===============>..............] - ETA: 0s - loss: 0.0286
162/224 [====================>.........] - ETA: 0s - loss: 0.0223
195/224 [=========================>....] - ETA: 0s - loss: 0.0225
224/224 [==============================] - 0s 1ms/step - loss: 0.0207
Epoch 4/10

  1/224 [..............................] - ETA: 0s - loss: 5.3190e-05
 43/224 [====>.........................] - ETA: 0s - loss: 0.0252    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0141
125/224 [===============>..............] - ETA: 0s - loss: 0.0249
167/224 [=====================>........] - ETA: 0s - loss: 0.0197
201/224 [=========================>....] - ETA: 0s - loss: 0.0190
224/224 [==============================] - 0s 1ms/step - loss: 0.0172
Epoch 5/10

  1/224 [..............................] - ETA: 0s - loss: 4.0715e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0075
114/224 [==============>...............] - ETA: 0s - loss: 0.0140
157/224 [====================>.........] - ETA: 0s - loss: 0.0124
198/224 [=========================>....] - ETA: 0s - loss: 0.0107
224/224 [==============================] - 0s 1ms/step - loss: 0.0141
Epoch 6/10

  1/224 [..............................] - ETA: 0s - loss: 0.0063
 35/224 [===>..........................] - ETA: 0s - loss: 0.0048
 71/224 [========>.....................] - ETA: 0s - loss: 0.0028
111/224 [=============>................] - ETA: 0s - loss: 0.0047
152/224 [===================>..........] - ETA: 0s - loss: 0.0064
190/224 [========================>.....] - ETA: 0s - loss: 0.0076
224/224 [==============================] - 0s 1ms/step - loss: 0.0111
Epoch 7/10

  1/224 [..............................] - ETA: 0s - loss: 0.0026
 41/224 [====>.........................] - ETA: 0s - loss: 0.0030
 83/224 [==========>...................] - ETA: 0s - loss: 0.0085
125/224 [===============>..............] - ETA: 0s - loss: 0.0112
163/224 [====================>.........] - ETA: 0s - loss: 0.0127
200/224 [=========================>....] - ETA: 0s - loss: 0.0115
224/224 [==============================] - 0s 1ms/step - loss: 0.0103
Epoch 8/10

  1/224 [..............................] - ETA: 0s - loss: 2.3051e-04
 38/224 [====>.........................] - ETA: 0s - loss: 0.0142    
 73/224 [========>.....................] - ETA: 0s - loss: 0.0090
109/224 [=============>................] - ETA: 0s - loss: 0.0142
144/224 [==================>...........] - ETA: 0s - loss: 0.0118
183/224 [=======================>......] - ETA: 0s - loss: 0.0096
220/224 [============================>.] - ETA: 0s - loss: 0.0090
224/224 [==============================] - 0s 1ms/step - loss: 0.0089
Epoch 9/10

  1/224 [..............................] - ETA: 0s - loss: 0.0016
 36/224 [===>..........................] - ETA: 0s - loss: 0.0122
 70/224 [========>.....................] - ETA: 0s - loss: 0.0098
105/224 [=============>................] - ETA: 0s - loss: 0.0084
140/224 [=================>............] - ETA: 0s - loss: 0.0069
178/224 [======================>.......] - ETA: 0s - loss: 0.0072
217/224 [============================>.] - ETA: 0s - loss: 0.0080
224/224 [==============================] - 0s 1ms/step - loss: 0.0078
Epoch 10/10

  1/224 [..............................] - ETA: 0s - loss: 3.7715e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0031    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0045
115/224 [==============>...............] - ETA: 0s - loss: 0.0051
155/224 [===================>..........] - ETA: 0s - loss: 0.0072
193/224 [========================>.....] - ETA: 0s - loss: 0.0072
224/224 [==============================] - 0s 1ms/step - loss: 0.0068
-> test with GAN.predict
GAN tn, fp: 555, 1
GAN fn, tp: 0, 21
GAN f1 score: 0.977
GAN cohens kappa score: 0.976

-> test with 'LR'
LR tn, fp: 542, 14
LR fn, tp: 1, 20
LR f1 score: 0.727
LR cohens kappa score: 0.714
LR average precision score: 0.913

-> test with 'RF'
RF tn, fp: 554, 2
RF fn, tp: 0, 21
RF f1 score: 0.955
RF cohens kappa score: 0.953

-> test with 'GB'
GB tn, fp: 555, 1
GB fn, tp: 0, 21
GB f1 score: 0.977
GB cohens kappa score: 0.976

-> test with 'KNN'
KNN tn, fp: 550, 6
KNN fn, tp: 0, 21
KNN f1 score: 0.875
KNN cohens kappa score: 0.870

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 558, 18
LR fn, tp: 4, 21
LR f1 score: 0.905
LR cohens kappa score: 0.901
LR average precision score: 0.989


average:
LR tn, fp: 547.12, 12.08
LR fn, tp: 0.88, 20.12
LR f1 score: 0.761
LR cohens kappa score: 0.750
LR average precision score: 0.926


minimum:
LR tn, fp: 538, 2
LR fn, tp: 0, 17
LR f1 score: 0.679
LR cohens kappa score: 0.663
LR average precision score: 0.830


-----[ RF ]-----
maximum:
RF tn, fp: 560, 5
RF fn, tp: 4, 21
RF f1 score: 1.000
RF cohens kappa score: 1.000


average:
RF tn, fp: 558.32, 0.88
RF fn, tp: 1.24, 19.76
RF f1 score: 0.949
RF cohens kappa score: 0.947


minimum:
RF tn, fp: 554, 0
RF fn, tp: 0, 17
RF f1 score: 0.870
RF cohens kappa score: 0.864


-----[ GB ]-----
maximum:
GB tn, fp: 560, 5
GB fn, tp: 4, 21
GB f1 score: 1.000
GB cohens kappa score: 1.000


average:
GB tn, fp: 558.6, 0.6
GB fn, tp: 1.0, 20.0
GB f1 score: 0.961
GB cohens kappa score: 0.960


minimum:
GB tn, fp: 555, 0
GB fn, tp: 0, 17
GB f1 score: 0.894
GB cohens kappa score: 0.889


-----[ KNN ]-----
maximum:
KNN tn, fp: 558, 10
KNN fn, tp: 2, 21
KNN f1 score: 0.933
KNN cohens kappa score: 0.931


average:
KNN tn, fp: 552.4, 6.8
KNN fn, tp: 0.4, 20.6
KNN f1 score: 0.853
KNN cohens kappa score: 0.847


minimum:
KNN tn, fp: 546, 2
KNN fn, tp: 0, 19
KNN f1 score: 0.808
KNN cohens kappa score: 0.799


-----[ GAN ]-----
maximum:
GAN tn, fp: 560, 7
GAN fn, tp: 6, 21
GAN f1 score: 1.000
GAN cohens kappa score: 1.000


average:
GAN tn, fp: 558.16, 1.04
GAN fn, tp: 1.4, 19.6
GAN f1 score: 0.941
GAN cohens kappa score: 0.939


minimum:
GAN tn, fp: 553, 0
GAN fn, tp: 0, 15
GAN f1 score: 0.833
GAN cohens kappa score: 0.826