///////////////////////////////////////////
// Running convGAN-proximary-5 on folding_winequality-red-4
///////////////////////////////////////////

Load 'data_input/folding_winequality-red-4'
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 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 18s - loss: 0.8682
 41/124 [========>.....................] - ETA: 0s - loss: 0.5858 
 82/124 [==================>...........] - ETA: 0s - loss: 0.5743
121/124 [============================>.] - ETA: 0s - loss: 0.5627
124/124 [==============================] - 0s 1ms/step - loss: 0.5658
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5359
 42/124 [=========>....................] - ETA: 0s - loss: 0.5432
 82/124 [==================>...........] - ETA: 0s - loss: 0.5390
123/124 [============================>.] - ETA: 0s - loss: 0.5326
124/124 [==============================] - 0s 1ms/step - loss: 0.5324
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.5030
 34/124 [=======>......................] - ETA: 0s - loss: 0.5298
 67/124 [===============>..............] - ETA: 0s - loss: 0.5279
 98/124 [======================>.......] - ETA: 0s - loss: 0.5213
124/124 [==============================] - 0s 2ms/step - loss: 0.5124
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3885
 40/124 [========>.....................] - ETA: 0s - loss: 0.5041
 80/124 [==================>...........] - ETA: 0s - loss: 0.4990
120/124 [============================>.] - ETA: 0s - loss: 0.5018
124/124 [==============================] - 0s 1ms/step - loss: 0.5003
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4922
 41/124 [========>.....................] - ETA: 0s - loss: 0.4824
 80/124 [==================>...........] - ETA: 0s - loss: 0.4975
120/124 [============================>.] - ETA: 0s - loss: 0.4884
124/124 [==============================] - 0s 1ms/step - loss: 0.4865
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5427
 41/124 [========>.....................] - ETA: 0s - loss: 0.4727
 80/124 [==================>...........] - ETA: 0s - loss: 0.4763
120/124 [============================>.] - ETA: 0s - loss: 0.4690
124/124 [==============================] - 0s 1ms/step - loss: 0.4673
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3843
 40/124 [========>.....................] - ETA: 0s - loss: 0.4566
 76/124 [=================>............] - ETA: 0s - loss: 0.4607
117/124 [===========================>..] - ETA: 0s - loss: 0.4528
124/124 [==============================] - 0s 1ms/step - loss: 0.4552
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4528
 41/124 [========>.....................] - ETA: 0s - loss: 0.4498
 79/124 [==================>...........] - ETA: 0s - loss: 0.4444
120/124 [============================>.] - ETA: 0s - loss: 0.4467
124/124 [==============================] - 0s 1ms/step - loss: 0.4455
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.6206
 41/124 [========>.....................] - ETA: 0s - loss: 0.4305
 82/124 [==================>...........] - ETA: 0s - loss: 0.4352
122/124 [============================>.] - ETA: 0s - loss: 0.4368
124/124 [==============================] - 0s 1ms/step - loss: 0.4367
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4034
 41/124 [========>.....................] - ETA: 0s - loss: 0.4283
 82/124 [==================>...........] - ETA: 0s - loss: 0.4347
122/124 [============================>.] - ETA: 0s - loss: 0.4308
124/124 [==============================] - 0s 1ms/step - loss: 0.4297
-> test with GAN.predict
GAN tn, fp: 261, 49
GAN fn, tp: 6, 5
GAN f1 score: 0.154
GAN cohens kappa score: 0.103

-> test with 'LR'
LR tn, fp: 207, 103
LR fn, tp: 5, 6
LR f1 score: 0.100
LR cohens kappa score: 0.040
LR average precision score: 0.091

-> test with 'RF'
RF tn, fp: 310, 0
RF fn, tp: 10, 1
RF f1 score: 0.167
RF cohens kappa score: 0.162

-> test with 'GB'
GB tn, fp: 295, 15
GB fn, tp: 9, 2
GB f1 score: 0.143
GB cohens kappa score: 0.106

-> test with 'KNN'
KNN tn, fp: 236, 74
KNN fn, tp: 8, 3
KNN f1 score: 0.068
KNN cohens kappa score: 0.009


------ Step 1/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.5483
 42/124 [=========>....................] - ETA: 0s - loss: 0.5991 
 82/124 [==================>...........] - ETA: 0s - loss: 0.5736
121/124 [============================>.] - ETA: 0s - loss: 0.5648
124/124 [==============================] - 0s 1ms/step - loss: 0.5631
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4066
 36/124 [=======>......................] - ETA: 0s - loss: 0.5033
 75/124 [=================>............] - ETA: 0s - loss: 0.4909
116/124 [===========================>..] - ETA: 0s - loss: 0.4857
124/124 [==============================] - 0s 1ms/step - loss: 0.4836
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4245
 39/124 [========>.....................] - ETA: 0s - loss: 0.4650
 75/124 [=================>............] - ETA: 0s - loss: 0.4633
108/124 [=========================>....] - ETA: 0s - loss: 0.4637
124/124 [==============================] - 0s 1ms/step - loss: 0.4597
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5067
 35/124 [=======>......................] - ETA: 0s - loss: 0.4385
 76/124 [=================>............] - ETA: 0s - loss: 0.4394
115/124 [==========================>...] - ETA: 0s - loss: 0.4414
124/124 [==============================] - 0s 1ms/step - loss: 0.4398
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3749
 40/124 [========>.....................] - ETA: 0s - loss: 0.4359
 80/124 [==================>...........] - ETA: 0s - loss: 0.4190
119/124 [===========================>..] - ETA: 0s - loss: 0.4296
124/124 [==============================] - 0s 1ms/step - loss: 0.4297
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4865
 42/124 [=========>....................] - ETA: 0s - loss: 0.4514
 82/124 [==================>...........] - ETA: 0s - loss: 0.4446
122/124 [============================>.] - ETA: 0s - loss: 0.4290
124/124 [==============================] - 0s 1ms/step - loss: 0.4296
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3909
 42/124 [=========>....................] - ETA: 0s - loss: 0.4003
 83/124 [===================>..........] - ETA: 0s - loss: 0.4043
123/124 [============================>.] - ETA: 0s - loss: 0.4068
124/124 [==============================] - 0s 1ms/step - loss: 0.4068
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2960
 37/124 [=======>......................] - ETA: 0s - loss: 0.4032
 75/124 [=================>............] - ETA: 0s - loss: 0.4058
115/124 [==========================>...] - ETA: 0s - loss: 0.4127
124/124 [==============================] - 0s 1ms/step - loss: 0.4104
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4091
 41/124 [========>.....................] - ETA: 0s - loss: 0.4131
 80/124 [==================>...........] - ETA: 0s - loss: 0.3959
119/124 [===========================>..] - ETA: 0s - loss: 0.3938
124/124 [==============================] - 0s 1ms/step - loss: 0.3951
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.5043
 40/124 [========>.....................] - ETA: 0s - loss: 0.4076
 80/124 [==================>...........] - ETA: 0s - loss: 0.3947
122/124 [============================>.] - ETA: 0s - loss: 0.3964
124/124 [==============================] - 0s 1ms/step - loss: 0.3972
-> test with GAN.predict
GAN tn, fp: 280, 30
GAN fn, tp: 6, 5
GAN f1 score: 0.217
GAN cohens kappa score: 0.174

-> test with 'LR'
LR tn, fp: 215, 95
LR fn, tp: 3, 8
LR f1 score: 0.140
LR cohens kappa score: 0.084
LR average precision score: 0.103

-> test with 'RF'
RF tn, fp: 302, 8
RF fn, tp: 10, 1
RF f1 score: 0.100
RF cohens kappa score: 0.071

-> test with 'GB'
GB tn, fp: 290, 20
GB fn, tp: 7, 4
GB f1 score: 0.229
GB cohens kappa score: 0.191

-> test with 'KNN'
KNN tn, fp: 219, 91
KNN fn, tp: 6, 5
KNN f1 score: 0.093
KNN cohens kappa score: 0.034


------ Step 1/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 21s - loss: 0.6418
 42/124 [=========>....................] - ETA: 0s - loss: 0.5712 
 83/124 [===================>..........] - ETA: 0s - loss: 0.5487
123/124 [============================>.] - ETA: 0s - loss: 0.5409
124/124 [==============================] - 0s 1ms/step - loss: 0.5405
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4942
 41/124 [========>.....................] - ETA: 0s - loss: 0.5119
 82/124 [==================>...........] - ETA: 0s - loss: 0.5094
123/124 [============================>.] - ETA: 0s - loss: 0.5011
124/124 [==============================] - 0s 1ms/step - loss: 0.5023
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.6766
 34/124 [=======>......................] - ETA: 0s - loss: 0.4776
 75/124 [=================>............] - ETA: 0s - loss: 0.4826
115/124 [==========================>...] - ETA: 0s - loss: 0.4796
124/124 [==============================] - 0s 1ms/step - loss: 0.4782
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5375
 38/124 [========>.....................] - ETA: 0s - loss: 0.4653
 77/124 [=================>............] - ETA: 0s - loss: 0.4747
118/124 [===========================>..] - ETA: 0s - loss: 0.4649
124/124 [==============================] - 0s 1ms/step - loss: 0.4653
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5717
 42/124 [=========>....................] - ETA: 0s - loss: 0.4474
 82/124 [==================>...........] - ETA: 0s - loss: 0.4691
122/124 [============================>.] - ETA: 0s - loss: 0.4536
124/124 [==============================] - 0s 1ms/step - loss: 0.4537
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5833
 41/124 [========>.....................] - ETA: 0s - loss: 0.4586
 81/124 [==================>...........] - ETA: 0s - loss: 0.4420
122/124 [============================>.] - ETA: 0s - loss: 0.4384
124/124 [==============================] - 0s 1ms/step - loss: 0.4394
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.5758
 42/124 [=========>....................] - ETA: 0s - loss: 0.4493
 84/124 [===================>..........] - ETA: 0s - loss: 0.4443
124/124 [==============================] - 0s 1ms/step - loss: 0.4406
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3709
 41/124 [========>.....................] - ETA: 0s - loss: 0.4298
 82/124 [==================>...........] - ETA: 0s - loss: 0.4223
114/124 [==========================>...] - ETA: 0s - loss: 0.4183
124/124 [==============================] - 0s 1ms/step - loss: 0.4197
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3791
 34/124 [=======>......................] - ETA: 0s - loss: 0.4082
 71/124 [================>.............] - ETA: 0s - loss: 0.4118
112/124 [==========================>...] - ETA: 0s - loss: 0.4134
124/124 [==============================] - 0s 1ms/step - loss: 0.4121
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3424
 42/124 [=========>....................] - ETA: 0s - loss: 0.4189
 83/124 [===================>..........] - ETA: 0s - loss: 0.4121
124/124 [==============================] - ETA: 0s - loss: 0.4109
124/124 [==============================] - 0s 1ms/step - loss: 0.4109
-> test with GAN.predict
GAN tn, fp: 164, 146
GAN fn, tp: 4, 7
GAN f1 score: 0.085
GAN cohens kappa score: 0.023

-> test with 'LR'
LR tn, fp: 191, 119
LR fn, tp: 3, 8
LR f1 score: 0.116
LR cohens kappa score: 0.056
LR average precision score: 0.197

-> test with 'RF'
RF tn, fp: 307, 3
RF fn, tp: 9, 2
RF f1 score: 0.250
RF cohens kappa score: 0.234

-> test with 'GB'
GB tn, fp: 284, 26
GB fn, tp: 7, 4
GB f1 score: 0.195
GB cohens kappa score: 0.153

-> test with 'KNN'
KNN tn, fp: 197, 113
KNN fn, tp: 8, 3
KNN f1 score: 0.047
KNN cohens kappa score: -0.016


------ Step 1/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 21s - loss: 0.5467
 41/124 [========>.....................] - ETA: 0s - loss: 0.5558 
 80/124 [==================>...........] - ETA: 0s - loss: 0.5113
120/124 [============================>.] - ETA: 0s - loss: 0.4956
124/124 [==============================] - 0s 1ms/step - loss: 0.4953
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4745
 36/124 [=======>......................] - ETA: 0s - loss: 0.4229
 75/124 [=================>............] - ETA: 0s - loss: 0.4465
114/124 [==========================>...] - ETA: 0s - loss: 0.4446
124/124 [==============================] - 0s 1ms/step - loss: 0.4475
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3121
 41/124 [========>.....................] - ETA: 0s - loss: 0.4326
 82/124 [==================>...........] - ETA: 0s - loss: 0.4215
122/124 [============================>.] - ETA: 0s - loss: 0.4197
124/124 [==============================] - 0s 1ms/step - loss: 0.4192
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3336
 41/124 [========>.....................] - ETA: 0s - loss: 0.4046
 80/124 [==================>...........] - ETA: 0s - loss: 0.4159
121/124 [============================>.] - ETA: 0s - loss: 0.4083
124/124 [==============================] - 0s 1ms/step - loss: 0.4090
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2850
 39/124 [========>.....................] - ETA: 0s - loss: 0.3772
 78/124 [=================>............] - ETA: 0s - loss: 0.4057
117/124 [===========================>..] - ETA: 0s - loss: 0.3991
124/124 [==============================] - 0s 1ms/step - loss: 0.3980
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4064
 40/124 [========>.....................] - ETA: 0s - loss: 0.3765
 80/124 [==================>...........] - ETA: 0s - loss: 0.3752
120/124 [============================>.] - ETA: 0s - loss: 0.3801
124/124 [==============================] - 0s 1ms/step - loss: 0.3805
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.4381
 38/124 [========>.....................] - ETA: 0s - loss: 0.3747
 77/124 [=================>............] - ETA: 0s - loss: 0.3818
116/124 [===========================>..] - ETA: 0s - loss: 0.3771
124/124 [==============================] - 0s 1ms/step - loss: 0.3789
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2617
 39/124 [========>.....................] - ETA: 0s - loss: 0.3820
 78/124 [=================>............] - ETA: 0s - loss: 0.3678
116/124 [===========================>..] - ETA: 0s - loss: 0.3751
124/124 [==============================] - 0s 1ms/step - loss: 0.3723
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3328
 38/124 [========>.....................] - ETA: 0s - loss: 0.3663
 77/124 [=================>............] - ETA: 0s - loss: 0.3566
116/124 [===========================>..] - ETA: 0s - loss: 0.3641
124/124 [==============================] - 0s 1ms/step - loss: 0.3617
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.1807
 40/124 [========>.....................] - ETA: 0s - loss: 0.3370
 75/124 [=================>............] - ETA: 0s - loss: 0.3431
114/124 [==========================>...] - ETA: 0s - loss: 0.3519
124/124 [==============================] - 0s 1ms/step - loss: 0.3527
-> test with GAN.predict
GAN tn, fp: 273, 37
GAN fn, tp: 6, 5
GAN f1 score: 0.189
GAN cohens kappa score: 0.142

-> test with 'LR'
LR tn, fp: 231, 79
LR fn, tp: 5, 6
LR f1 score: 0.125
LR cohens kappa score: 0.068
LR average precision score: 0.131

-> test with 'RF'
RF tn, fp: 307, 3
RF fn, tp: 10, 1
RF f1 score: 0.133
RF cohens kappa score: 0.117

-> test with 'GB'
GB tn, fp: 295, 15
GB fn, tp: 9, 2
GB f1 score: 0.143
GB cohens kappa score: 0.106

-> test with 'KNN'
KNN tn, fp: 233, 77
KNN fn, tp: 6, 5
KNN f1 score: 0.108
KNN cohens kappa score: 0.050


------ Step 1/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 16s - loss: 0.7167
 44/124 [=========>....................] - ETA: 0s - loss: 0.6115 
 87/124 [====================>.........] - ETA: 0s - loss: 0.5821
124/124 [==============================] - 0s 1ms/step - loss: 0.5794
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.6686
 43/124 [=========>....................] - ETA: 0s - loss: 0.5244
 85/124 [===================>..........] - ETA: 0s - loss: 0.5078
124/124 [==============================] - 0s 1ms/step - loss: 0.5026
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3539
 45/124 [=========>....................] - ETA: 0s - loss: 0.4914
 89/124 [====================>.........] - ETA: 0s - loss: 0.4892
124/124 [==============================] - 0s 1ms/step - loss: 0.4878
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5740
 42/124 [=========>....................] - ETA: 0s - loss: 0.4669
 86/124 [===================>..........] - ETA: 0s - loss: 0.4874
124/124 [==============================] - 0s 1ms/step - loss: 0.4736
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5826
 39/124 [========>.....................] - ETA: 0s - loss: 0.4437
 78/124 [=================>............] - ETA: 0s - loss: 0.4627
116/124 [===========================>..] - ETA: 0s - loss: 0.4586
124/124 [==============================] - 0s 1ms/step - loss: 0.4609
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3577
 43/124 [=========>....................] - ETA: 0s - loss: 0.4888
 86/124 [===================>..........] - ETA: 0s - loss: 0.4696
124/124 [==============================] - 0s 1ms/step - loss: 0.4577
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3920
 42/124 [=========>....................] - ETA: 0s - loss: 0.4284
 81/124 [==================>...........] - ETA: 0s - loss: 0.4342
124/124 [==============================] - ETA: 0s - loss: 0.4470
124/124 [==============================] - 0s 1ms/step - loss: 0.4470
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.5997
 40/124 [========>.....................] - ETA: 0s - loss: 0.4513
 82/124 [==================>...........] - ETA: 0s - loss: 0.4469
124/124 [==============================] - 0s 1ms/step - loss: 0.4299
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3054
 46/124 [==========>...................] - ETA: 0s - loss: 0.4184
 88/124 [====================>.........] - ETA: 0s - loss: 0.4254
124/124 [==============================] - 0s 1ms/step - loss: 0.4187
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2981
 44/124 [=========>....................] - ETA: 0s - loss: 0.4241
 85/124 [===================>..........] - ETA: 0s - loss: 0.4268
124/124 [==============================] - 0s 1ms/step - loss: 0.4206
-> test with GAN.predict
GAN tn, fp: 270, 36
GAN fn, tp: 6, 3
GAN f1 score: 0.125
GAN cohens kappa score: 0.082

-> test with 'LR'
LR tn, fp: 217, 89
LR fn, tp: 4, 5
LR f1 score: 0.097
LR cohens kappa score: 0.047
LR average precision score: 0.220

-> test with 'RF'
RF tn, fp: 304, 2
RF fn, tp: 9, 0
RF f1 score: 0.000
RF cohens kappa score: -0.010

-> test with 'GB'
GB tn, fp: 283, 23
GB fn, tp: 7, 2
GB f1 score: 0.118
GB cohens kappa score: 0.079

-> test with 'KNN'
KNN tn, fp: 229, 77
KNN fn, tp: 7, 2
KNN f1 score: 0.045
KNN cohens kappa score: -0.006


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

------ Step 2/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.7011
 41/124 [========>.....................] - ETA: 0s - loss: 0.5965 
 82/124 [==================>...........] - ETA: 0s - loss: 0.5797
123/124 [============================>.] - ETA: 0s - loss: 0.5752
124/124 [==============================] - 0s 1ms/step - loss: 0.5754
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4444
 41/124 [========>.....................] - ETA: 0s - loss: 0.5474
 77/124 [=================>............] - ETA: 0s - loss: 0.5443
110/124 [=========================>....] - ETA: 0s - loss: 0.5360
124/124 [==============================] - 0s 1ms/step - loss: 0.5306
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.6487
 39/124 [========>.....................] - ETA: 0s - loss: 0.4887
 79/124 [==================>...........] - ETA: 0s - loss: 0.4878
118/124 [===========================>..] - ETA: 0s - loss: 0.4949
124/124 [==============================] - 0s 1ms/step - loss: 0.4939
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3242
 42/124 [=========>....................] - ETA: 0s - loss: 0.4811
 81/124 [==================>...........] - ETA: 0s - loss: 0.4770
121/124 [============================>.] - ETA: 0s - loss: 0.4721
124/124 [==============================] - 0s 1ms/step - loss: 0.4724
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4018
 36/124 [=======>......................] - ETA: 0s - loss: 0.4614
 77/124 [=================>............] - ETA: 0s - loss: 0.4567
116/124 [===========================>..] - ETA: 0s - loss: 0.4617
124/124 [==============================] - 0s 1ms/step - loss: 0.4571
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5645
 39/124 [========>.....................] - ETA: 0s - loss: 0.4508
 79/124 [==================>...........] - ETA: 0s - loss: 0.4384
120/124 [============================>.] - ETA: 0s - loss: 0.4431
124/124 [==============================] - 0s 1ms/step - loss: 0.4413
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.5521
 40/124 [========>.....................] - ETA: 0s - loss: 0.4478
 81/124 [==================>...........] - ETA: 0s - loss: 0.4437
121/124 [============================>.] - ETA: 0s - loss: 0.4314
124/124 [==============================] - 0s 1ms/step - loss: 0.4309
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3319
 43/124 [=========>....................] - ETA: 0s - loss: 0.3946
 84/124 [===================>..........] - ETA: 0s - loss: 0.4227
124/124 [==============================] - 0s 1ms/step - loss: 0.4281
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3501
 42/124 [=========>....................] - ETA: 0s - loss: 0.3973
 82/124 [==================>...........] - ETA: 0s - loss: 0.4046
122/124 [============================>.] - ETA: 0s - loss: 0.4065
124/124 [==============================] - 0s 1ms/step - loss: 0.4065
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3382
 40/124 [========>.....................] - ETA: 0s - loss: 0.4006
 81/124 [==================>...........] - ETA: 0s - loss: 0.3948
116/124 [===========================>..] - ETA: 0s - loss: 0.4062
124/124 [==============================] - 0s 1ms/step - loss: 0.4041
-> test with GAN.predict
GAN tn, fp: 245, 65
GAN fn, tp: 4, 7
GAN f1 score: 0.169
GAN cohens kappa score: 0.116

-> test with 'LR'
LR tn, fp: 202, 108
LR fn, tp: 3, 8
LR f1 score: 0.126
LR cohens kappa score: 0.068
LR average precision score: 0.131

-> test with 'RF'
RF tn, fp: 305, 5
RF fn, tp: 10, 1
RF f1 score: 0.118
RF cohens kappa score: 0.096

-> test with 'GB'
GB tn, fp: 285, 25
GB fn, tp: 8, 3
GB f1 score: 0.154
GB cohens kappa score: 0.110

-> test with 'KNN'
KNN tn, fp: 225, 85
KNN fn, tp: 7, 4
KNN f1 score: 0.080
KNN cohens kappa score: 0.020


------ Step 2/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.4607
 35/124 [=======>......................] - ETA: 0s - loss: 0.6025 
 65/124 [==============>...............] - ETA: 0s - loss: 0.5880
101/124 [=======================>......] - ETA: 0s - loss: 0.5871
124/124 [==============================] - 0s 2ms/step - loss: 0.5807
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5689
 34/124 [=======>......................] - ETA: 0s - loss: 0.5407
 73/124 [================>.............] - ETA: 0s - loss: 0.5384
112/124 [==========================>...] - ETA: 0s - loss: 0.5320
124/124 [==============================] - 0s 1ms/step - loss: 0.5352
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4841
 40/124 [========>.....................] - ETA: 0s - loss: 0.4951
 80/124 [==================>...........] - ETA: 0s - loss: 0.5066
120/124 [============================>.] - ETA: 0s - loss: 0.5098
124/124 [==============================] - 0s 1ms/step - loss: 0.5082
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.6145
 42/124 [=========>....................] - ETA: 0s - loss: 0.5053
 81/124 [==================>...........] - ETA: 0s - loss: 0.4887
120/124 [============================>.] - ETA: 0s - loss: 0.4850
124/124 [==============================] - 0s 1ms/step - loss: 0.4844
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.6726
 42/124 [=========>....................] - ETA: 0s - loss: 0.5016
 81/124 [==================>...........] - ETA: 0s - loss: 0.4835
116/124 [===========================>..] - ETA: 0s - loss: 0.4818
124/124 [==============================] - 0s 1ms/step - loss: 0.4772
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4054
 36/124 [=======>......................] - ETA: 0s - loss: 0.4785
 73/124 [================>.............] - ETA: 0s - loss: 0.4627
110/124 [=========================>....] - ETA: 0s - loss: 0.4503
124/124 [==============================] - 0s 1ms/step - loss: 0.4537
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3539
 41/124 [========>.....................] - ETA: 0s - loss: 0.4647
 82/124 [==================>...........] - ETA: 0s - loss: 0.4582
123/124 [============================>.] - ETA: 0s - loss: 0.4469
124/124 [==============================] - 0s 1ms/step - loss: 0.4466
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4609
 40/124 [========>.....................] - ETA: 0s - loss: 0.4308
 81/124 [==================>...........] - ETA: 0s - loss: 0.4218
122/124 [============================>.] - ETA: 0s - loss: 0.4237
124/124 [==============================] - 0s 1ms/step - loss: 0.4226
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2765
 41/124 [========>.....................] - ETA: 0s - loss: 0.4268
 80/124 [==================>...........] - ETA: 0s - loss: 0.4276
120/124 [============================>.] - ETA: 0s - loss: 0.4262
124/124 [==============================] - 0s 1ms/step - loss: 0.4233
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3271
 41/124 [========>.....................] - ETA: 0s - loss: 0.4010
 81/124 [==================>...........] - ETA: 0s - loss: 0.4035
121/124 [============================>.] - ETA: 0s - loss: 0.4116
124/124 [==============================] - 0s 1ms/step - loss: 0.4111
-> test with GAN.predict
GAN tn, fp: 203, 107
GAN fn, tp: 8, 3
GAN f1 score: 0.050
GAN cohens kappa score: -0.014

-> test with 'LR'
LR tn, fp: 210, 100
LR fn, tp: 3, 8
LR f1 score: 0.134
LR cohens kappa score: 0.077
LR average precision score: 0.136

-> test with 'RF'
RF tn, fp: 308, 2
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.011

-> test with 'GB'
GB tn, fp: 301, 9
GB fn, tp: 10, 1
GB f1 score: 0.095
GB cohens kappa score: 0.065

-> test with 'KNN'
KNN tn, fp: 238, 72
KNN fn, tp: 7, 4
KNN f1 score: 0.092
KNN cohens kappa score: 0.034


------ Step 2/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.6339
 32/124 [======>.......................] - ETA: 0s - loss: 0.5774 
 65/124 [==============>...............] - ETA: 0s - loss: 0.5797
104/124 [========================>.....] - ETA: 0s - loss: 0.5800
124/124 [==============================] - 0s 1ms/step - loss: 0.5741
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.7160
 41/124 [========>.....................] - ETA: 0s - loss: 0.5480
 79/124 [==================>...........] - ETA: 0s - loss: 0.5424
119/124 [===========================>..] - ETA: 0s - loss: 0.5332
124/124 [==============================] - 0s 1ms/step - loss: 0.5320
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.5651
 42/124 [=========>....................] - ETA: 0s - loss: 0.5264
 82/124 [==================>...........] - ETA: 0s - loss: 0.5193
122/124 [============================>.] - ETA: 0s - loss: 0.5160
124/124 [==============================] - 0s 1ms/step - loss: 0.5152
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4932
 40/124 [========>.....................] - ETA: 0s - loss: 0.5234
 81/124 [==================>...........] - ETA: 0s - loss: 0.5073
121/124 [============================>.] - ETA: 0s - loss: 0.5045
124/124 [==============================] - 0s 1ms/step - loss: 0.5025
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.6010
 40/124 [========>.....................] - ETA: 0s - loss: 0.4916
 80/124 [==================>...........] - ETA: 0s - loss: 0.4877
118/124 [===========================>..] - ETA: 0s - loss: 0.4826
124/124 [==============================] - 0s 1ms/step - loss: 0.4838
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3627
 40/124 [========>.....................] - ETA: 0s - loss: 0.4877
 78/124 [=================>............] - ETA: 0s - loss: 0.4822
117/124 [===========================>..] - ETA: 0s - loss: 0.4769
124/124 [==============================] - 0s 1ms/step - loss: 0.4762
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3873
 39/124 [========>.....................] - ETA: 0s - loss: 0.4708
 78/124 [=================>............] - ETA: 0s - loss: 0.4552
116/124 [===========================>..] - ETA: 0s - loss: 0.4587
124/124 [==============================] - 0s 1ms/step - loss: 0.4611
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4338
 41/124 [========>.....................] - ETA: 0s - loss: 0.4483
 80/124 [==================>...........] - ETA: 0s - loss: 0.4606
120/124 [============================>.] - ETA: 0s - loss: 0.4581
124/124 [==============================] - 0s 1ms/step - loss: 0.4582
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3809
 41/124 [========>.....................] - ETA: 0s - loss: 0.4425
 82/124 [==================>...........] - ETA: 0s - loss: 0.4324
123/124 [============================>.] - ETA: 0s - loss: 0.4430
124/124 [==============================] - 0s 1ms/step - loss: 0.4439
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4259
 40/124 [========>.....................] - ETA: 0s - loss: 0.4410
 81/124 [==================>...........] - ETA: 0s - loss: 0.4421
119/124 [===========================>..] - ETA: 0s - loss: 0.4415
124/124 [==============================] - 0s 1ms/step - loss: 0.4407
-> test with GAN.predict
GAN tn, fp: 250, 60
GAN fn, tp: 10, 1
GAN f1 score: 0.028
GAN cohens kappa score: -0.032

-> test with 'LR'
LR tn, fp: 212, 98
LR fn, tp: 3, 8
LR f1 score: 0.137
LR cohens kappa score: 0.080
LR average precision score: 0.195

-> test with 'RF'
RF tn, fp: 304, 6
RF fn, tp: 10, 1
RF f1 score: 0.111
RF cohens kappa score: 0.087

-> test with 'GB'
GB tn, fp: 294, 16
GB fn, tp: 9, 2
GB f1 score: 0.138
GB cohens kappa score: 0.100

-> test with 'KNN'
KNN tn, fp: 229, 81
KNN fn, tp: 10, 1
KNN f1 score: 0.022
KNN cohens kappa score: -0.041


------ Step 2/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.4788
 42/124 [=========>....................] - ETA: 0s - loss: 0.5397 
 81/124 [==================>...........] - ETA: 0s - loss: 0.5190
121/124 [============================>.] - ETA: 0s - loss: 0.5152
124/124 [==============================] - 0s 1ms/step - loss: 0.5157
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3909
 33/124 [======>.......................] - ETA: 0s - loss: 0.4595
 72/124 [================>.............] - ETA: 0s - loss: 0.4854
113/124 [==========================>...] - ETA: 0s - loss: 0.4859
124/124 [==============================] - 0s 1ms/step - loss: 0.4847
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.5677
 41/124 [========>.....................] - ETA: 0s - loss: 0.4863
 79/124 [==================>...........] - ETA: 0s - loss: 0.4630
118/124 [===========================>..] - ETA: 0s - loss: 0.4576
124/124 [==============================] - 0s 1ms/step - loss: 0.4578
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5863
 39/124 [========>.....................] - ETA: 0s - loss: 0.4309
 78/124 [=================>............] - ETA: 0s - loss: 0.4355
119/124 [===========================>..] - ETA: 0s - loss: 0.4383
124/124 [==============================] - 0s 1ms/step - loss: 0.4353
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4825
 41/124 [========>.....................] - ETA: 0s - loss: 0.4145
 81/124 [==================>...........] - ETA: 0s - loss: 0.4279
120/124 [============================>.] - ETA: 0s - loss: 0.4210
124/124 [==============================] - 0s 1ms/step - loss: 0.4188
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3955
 42/124 [=========>....................] - ETA: 0s - loss: 0.4310
 82/124 [==================>...........] - ETA: 0s - loss: 0.4169
123/124 [============================>.] - ETA: 0s - loss: 0.4261
124/124 [==============================] - 0s 1ms/step - loss: 0.4260
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3055
 42/124 [=========>....................] - ETA: 0s - loss: 0.3997
 81/124 [==================>...........] - ETA: 0s - loss: 0.4000
122/124 [============================>.] - ETA: 0s - loss: 0.4025
124/124 [==============================] - 0s 1ms/step - loss: 0.4035
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3458
 41/124 [========>.....................] - ETA: 0s - loss: 0.3884
 76/124 [=================>............] - ETA: 0s - loss: 0.3916
113/124 [==========================>...] - ETA: 0s - loss: 0.3925
124/124 [==============================] - 0s 1ms/step - loss: 0.3920
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3930
 36/124 [=======>......................] - ETA: 0s - loss: 0.4149
 75/124 [=================>............] - ETA: 0s - loss: 0.4059
114/124 [==========================>...] - ETA: 0s - loss: 0.4004
124/124 [==============================] - 0s 1ms/step - loss: 0.3978
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3261
 39/124 [========>.....................] - ETA: 0s - loss: 0.3922
 79/124 [==================>...........] - ETA: 0s - loss: 0.3809
117/124 [===========================>..] - ETA: 0s - loss: 0.3825
124/124 [==============================] - 0s 1ms/step - loss: 0.3802
-> test with GAN.predict
GAN tn, fp: 266, 44
GAN fn, tp: 6, 5
GAN f1 score: 0.167
GAN cohens kappa score: 0.117

-> test with 'LR'
LR tn, fp: 216, 94
LR fn, tp: 5, 6
LR f1 score: 0.108
LR cohens kappa score: 0.049
LR average precision score: 0.289

-> test with 'RF'
RF tn, fp: 308, 2
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.011

-> test with 'GB'
GB tn, fp: 300, 10
GB fn, tp: 8, 3
GB f1 score: 0.250
GB cohens kappa score: 0.221

-> test with 'KNN'
KNN tn, fp: 257, 53
KNN fn, tp: 7, 4
KNN f1 score: 0.118
KNN cohens kappa score: 0.064


------ Step 2/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.6563
 36/124 [=======>......................] - ETA: 0s - loss: 0.5383 
 73/124 [================>.............] - ETA: 0s - loss: 0.5245
111/124 [=========================>....] - ETA: 0s - loss: 0.5236
124/124 [==============================] - 0s 1ms/step - loss: 0.5178
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4548
 37/124 [=======>......................] - ETA: 0s - loss: 0.5030
 74/124 [================>.............] - ETA: 0s - loss: 0.4824
109/124 [=========================>....] - ETA: 0s - loss: 0.4770
124/124 [==============================] - 0s 1ms/step - loss: 0.4734
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.5656
 39/124 [========>.....................] - ETA: 0s - loss: 0.4401
 78/124 [=================>............] - ETA: 0s - loss: 0.4574
117/124 [===========================>..] - ETA: 0s - loss: 0.4532
124/124 [==============================] - 0s 1ms/step - loss: 0.4515
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4204
 36/124 [=======>......................] - ETA: 0s - loss: 0.4352
 75/124 [=================>............] - ETA: 0s - loss: 0.4433
111/124 [=========================>....] - ETA: 0s - loss: 0.4367
124/124 [==============================] - 0s 1ms/step - loss: 0.4363
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.6079
 40/124 [========>.....................] - ETA: 0s - loss: 0.4351
 77/124 [=================>............] - ETA: 0s - loss: 0.4260
113/124 [==========================>...] - ETA: 0s - loss: 0.4315
124/124 [==============================] - 0s 1ms/step - loss: 0.4292
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4060
 40/124 [========>.....................] - ETA: 0s - loss: 0.4048
 79/124 [==================>...........] - ETA: 0s - loss: 0.3987
114/124 [==========================>...] - ETA: 0s - loss: 0.4082
124/124 [==============================] - 0s 1ms/step - loss: 0.4116
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.5175
 36/124 [=======>......................] - ETA: 0s - loss: 0.3960
 75/124 [=================>............] - ETA: 0s - loss: 0.4132
111/124 [=========================>....] - ETA: 0s - loss: 0.4087
124/124 [==============================] - 0s 1ms/step - loss: 0.4105
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3439
 37/124 [=======>......................] - ETA: 0s - loss: 0.4156
 79/124 [==================>...........] - ETA: 0s - loss: 0.4127
116/124 [===========================>..] - ETA: 0s - loss: 0.4037
124/124 [==============================] - 0s 1ms/step - loss: 0.4038
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2934
 36/124 [=======>......................] - ETA: 0s - loss: 0.4238
 72/124 [================>.............] - ETA: 0s - loss: 0.4083
108/124 [=========================>....] - ETA: 0s - loss: 0.3938
124/124 [==============================] - 0s 1ms/step - loss: 0.3959
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3168
 38/124 [========>.....................] - ETA: 0s - loss: 0.4023
 77/124 [=================>............] - ETA: 0s - loss: 0.3868
113/124 [==========================>...] - ETA: 0s - loss: 0.3896
124/124 [==============================] - 0s 1ms/step - loss: 0.3859
-> test with GAN.predict
GAN tn, fp: 271, 35
GAN fn, tp: 7, 2
GAN f1 score: 0.087
GAN cohens kappa score: 0.043

-> test with 'LR'
LR tn, fp: 219, 87
LR fn, tp: 4, 5
LR f1 score: 0.099
LR cohens kappa score: 0.050
LR average precision score: 0.136

-> test with 'RF'
RF tn, fp: 305, 1
RF fn, tp: 9, 0
RF f1 score: 0.000
RF cohens kappa score: -0.006

-> test with 'GB'
GB tn, fp: 298, 8
GB fn, tp: 9, 0
GB f1 score: 0.000
GB cohens kappa score: -0.028

-> test with 'KNN'
KNN tn, fp: 235, 71
KNN fn, tp: 5, 4
KNN f1 score: 0.095
KNN cohens kappa score: 0.047


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

------ Step 3/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.5020
 42/124 [=========>....................] - ETA: 0s - loss: 0.5443 
 83/124 [===================>..........] - ETA: 0s - loss: 0.5357
124/124 [==============================] - ETA: 0s - loss: 0.5248
124/124 [==============================] - 0s 1ms/step - loss: 0.5248
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4409
 42/124 [=========>....................] - ETA: 0s - loss: 0.4927
 83/124 [===================>..........] - ETA: 0s - loss: 0.4831
123/124 [============================>.] - ETA: 0s - loss: 0.4867
124/124 [==============================] - 0s 1ms/step - loss: 0.4867
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4636
 41/124 [========>.....................] - ETA: 0s - loss: 0.4421
 81/124 [==================>...........] - ETA: 0s - loss: 0.4492
121/124 [============================>.] - ETA: 0s - loss: 0.4630
124/124 [==============================] - 0s 1ms/step - loss: 0.4618
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5159
 42/124 [=========>....................] - ETA: 0s - loss: 0.4372
 85/124 [===================>..........] - ETA: 0s - loss: 0.4429
124/124 [==============================] - 0s 1ms/step - loss: 0.4455
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3352
 41/124 [========>.....................] - ETA: 0s - loss: 0.4294
 80/124 [==================>...........] - ETA: 0s - loss: 0.4341
117/124 [===========================>..] - ETA: 0s - loss: 0.4415
124/124 [==============================] - 0s 1ms/step - loss: 0.4395
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2867
 38/124 [========>.....................] - ETA: 0s - loss: 0.4489
 77/124 [=================>............] - ETA: 0s - loss: 0.4318
115/124 [==========================>...] - ETA: 0s - loss: 0.4304
124/124 [==============================] - 0s 1ms/step - loss: 0.4269
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.4095
 42/124 [=========>....................] - ETA: 0s - loss: 0.4313
 83/124 [===================>..........] - ETA: 0s - loss: 0.4261
123/124 [============================>.] - ETA: 0s - loss: 0.4175
124/124 [==============================] - 0s 1ms/step - loss: 0.4166
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3924
 42/124 [=========>....................] - ETA: 0s - loss: 0.3984
 82/124 [==================>...........] - ETA: 0s - loss: 0.4060
122/124 [============================>.] - ETA: 0s - loss: 0.4044
124/124 [==============================] - 0s 1ms/step - loss: 0.4053
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4179
 42/124 [=========>....................] - ETA: 0s - loss: 0.4131
 83/124 [===================>..........] - ETA: 0s - loss: 0.3993
124/124 [==============================] - ETA: 0s - loss: 0.3971
124/124 [==============================] - 0s 1ms/step - loss: 0.3971
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3392
 41/124 [========>.....................] - ETA: 0s - loss: 0.4046
 79/124 [==================>...........] - ETA: 0s - loss: 0.3901
120/124 [============================>.] - ETA: 0s - loss: 0.3895
124/124 [==============================] - 0s 1ms/step - loss: 0.3888
-> test with GAN.predict
GAN tn, fp: 262, 48
GAN fn, tp: 8, 3
GAN f1 score: 0.097
GAN cohens kappa score: 0.043

-> test with 'LR'
LR tn, fp: 233, 77
LR fn, tp: 5, 6
LR f1 score: 0.128
LR cohens kappa score: 0.071
LR average precision score: 0.259

-> test with 'RF'
RF tn, fp: 307, 3
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.015

-> test with 'GB'
GB tn, fp: 300, 10
GB fn, tp: 10, 1
GB f1 score: 0.091
GB cohens kappa score: 0.059

-> test with 'KNN'
KNN tn, fp: 230, 80
KNN fn, tp: 8, 3
KNN f1 score: 0.064
KNN cohens kappa score: 0.004


------ Step 3/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 20s - loss: 0.9514
 39/124 [========>.....................] - ETA: 0s - loss: 0.6118 
 71/124 [================>.............] - ETA: 0s - loss: 0.6142
103/124 [=======================>......] - ETA: 0s - loss: 0.5938
124/124 [==============================] - 0s 2ms/step - loss: 0.6006
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5209
 37/124 [=======>......................] - ETA: 0s - loss: 0.5671
 77/124 [=================>............] - ETA: 0s - loss: 0.5543
117/124 [===========================>..] - ETA: 0s - loss: 0.5412
124/124 [==============================] - 0s 1ms/step - loss: 0.5361
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.5286
 39/124 [========>.....................] - ETA: 0s - loss: 0.4954
 78/124 [=================>............] - ETA: 0s - loss: 0.4918
116/124 [===========================>..] - ETA: 0s - loss: 0.4854
124/124 [==============================] - 0s 1ms/step - loss: 0.4889
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5618
 40/124 [========>.....................] - ETA: 0s - loss: 0.5089
 76/124 [=================>............] - ETA: 0s - loss: 0.5003
114/124 [==========================>...] - ETA: 0s - loss: 0.4809
124/124 [==============================] - 0s 1ms/step - loss: 0.4755
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4647
 37/124 [=======>......................] - ETA: 0s - loss: 0.4674
 76/124 [=================>............] - ETA: 0s - loss: 0.4514
115/124 [==========================>...] - ETA: 0s - loss: 0.4499
124/124 [==============================] - 0s 1ms/step - loss: 0.4492
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4681
 40/124 [========>.....................] - ETA: 0s - loss: 0.4480
 80/124 [==================>...........] - ETA: 0s - loss: 0.4536
120/124 [============================>.] - ETA: 0s - loss: 0.4440
124/124 [==============================] - 0s 1ms/step - loss: 0.4427
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3896
 40/124 [========>.....................] - ETA: 0s - loss: 0.4402
 80/124 [==================>...........] - ETA: 0s - loss: 0.4328
119/124 [===========================>..] - ETA: 0s - loss: 0.4256
124/124 [==============================] - 0s 1ms/step - loss: 0.4248
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3395
 42/124 [=========>....................] - ETA: 0s - loss: 0.4071
 81/124 [==================>...........] - ETA: 0s - loss: 0.4239
119/124 [===========================>..] - ETA: 0s - loss: 0.4222
124/124 [==============================] - 0s 1ms/step - loss: 0.4227
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4575
 39/124 [========>.....................] - ETA: 0s - loss: 0.4426
 74/124 [================>.............] - ETA: 0s - loss: 0.4156
112/124 [==========================>...] - ETA: 0s - loss: 0.4136
124/124 [==============================] - 0s 1ms/step - loss: 0.4132
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.5655
 39/124 [========>.....................] - ETA: 0s - loss: 0.4566
 78/124 [=================>............] - ETA: 0s - loss: 0.4246
117/124 [===========================>..] - ETA: 0s - loss: 0.4226
124/124 [==============================] - 0s 1ms/step - loss: 0.4200
-> test with GAN.predict
GAN tn, fp: 257, 53
GAN fn, tp: 8, 3
GAN f1 score: 0.090
GAN cohens kappa score: 0.034

-> test with 'LR'
LR tn, fp: 215, 95
LR fn, tp: 2, 9
LR f1 score: 0.157
LR cohens kappa score: 0.101
LR average precision score: 0.164

-> test with 'RF'
RF tn, fp: 307, 3
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.015

-> test with 'GB'
GB tn, fp: 293, 17
GB fn, tp: 9, 2
GB f1 score: 0.133
GB cohens kappa score: 0.094

-> test with 'KNN'
KNN tn, fp: 232, 78
KNN fn, tp: 9, 2
KNN f1 score: 0.044
KNN cohens kappa score: -0.017


------ Step 3/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 23s - loss: 0.3993
 40/124 [========>.....................] - ETA: 0s - loss: 0.5462 
 78/124 [=================>............] - ETA: 0s - loss: 0.5134
118/124 [===========================>..] - ETA: 0s - loss: 0.4954
124/124 [==============================] - 0s 1ms/step - loss: 0.4929
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5293
 41/124 [========>.....................] - ETA: 0s - loss: 0.4541
 82/124 [==================>...........] - ETA: 0s - loss: 0.4577
122/124 [============================>.] - ETA: 0s - loss: 0.4524
124/124 [==============================] - 0s 1ms/step - loss: 0.4512
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4911
 41/124 [========>.....................] - ETA: 0s - loss: 0.4586
 81/124 [==================>...........] - ETA: 0s - loss: 0.4442
117/124 [===========================>..] - ETA: 0s - loss: 0.4437
124/124 [==============================] - 0s 1ms/step - loss: 0.4429
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4106
 40/124 [========>.....................] - ETA: 0s - loss: 0.4270
 80/124 [==================>...........] - ETA: 0s - loss: 0.4123
118/124 [===========================>..] - ETA: 0s - loss: 0.4221
124/124 [==============================] - 0s 1ms/step - loss: 0.4225
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4701
 41/124 [========>.....................] - ETA: 0s - loss: 0.4179
 82/124 [==================>...........] - ETA: 0s - loss: 0.4059
123/124 [============================>.] - ETA: 0s - loss: 0.4068
124/124 [==============================] - 0s 1ms/step - loss: 0.4063
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4015
 42/124 [=========>....................] - ETA: 0s - loss: 0.4247
 82/124 [==================>...........] - ETA: 0s - loss: 0.4148
122/124 [============================>.] - ETA: 0s - loss: 0.4075
124/124 [==============================] - 0s 1ms/step - loss: 0.4074
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3411
 41/124 [========>.....................] - ETA: 0s - loss: 0.3675
 82/124 [==================>...........] - ETA: 0s - loss: 0.3821
122/124 [============================>.] - ETA: 0s - loss: 0.3930
124/124 [==============================] - 0s 1ms/step - loss: 0.3924
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3665
 41/124 [========>.....................] - ETA: 0s - loss: 0.3964
 81/124 [==================>...........] - ETA: 0s - loss: 0.4083
118/124 [===========================>..] - ETA: 0s - loss: 0.4137
124/124 [==============================] - 0s 1ms/step - loss: 0.4110
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3633
 40/124 [========>.....................] - ETA: 0s - loss: 0.3668
 81/124 [==================>...........] - ETA: 0s - loss: 0.3683
117/124 [===========================>..] - ETA: 0s - loss: 0.3796
124/124 [==============================] - 0s 1ms/step - loss: 0.3786
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.1887
 35/124 [=======>......................] - ETA: 0s - loss: 0.3824
 69/124 [===============>..............] - ETA: 0s - loss: 0.3895
107/124 [========================>.....] - ETA: 0s - loss: 0.3886
124/124 [==============================] - 0s 1ms/step - loss: 0.3919
-> test with GAN.predict
GAN tn, fp: 177, 133
GAN fn, tp: 6, 5
GAN f1 score: 0.067
GAN cohens kappa score: 0.004

-> test with 'LR'
LR tn, fp: 224, 86
LR fn, tp: 5, 6
LR f1 score: 0.117
LR cohens kappa score: 0.059
LR average precision score: 0.066

-> test with 'RF'
RF tn, fp: 301, 9
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.032

-> test with 'GB'
GB tn, fp: 288, 22
GB fn, tp: 10, 1
GB f1 score: 0.059
GB cohens kappa score: 0.013

-> test with 'KNN'
KNN tn, fp: 220, 90
KNN fn, tp: 6, 5
KNN f1 score: 0.094
KNN cohens kappa score: 0.035


------ Step 3/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.5176
 40/124 [========>.....................] - ETA: 0s - loss: 0.5244 
 79/124 [==================>...........] - ETA: 0s - loss: 0.5134
119/124 [===========================>..] - ETA: 0s - loss: 0.5015
124/124 [==============================] - 0s 1ms/step - loss: 0.5000
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2997
 41/124 [========>.....................] - ETA: 0s - loss: 0.4566
 81/124 [==================>...........] - ETA: 0s - loss: 0.4524
120/124 [============================>.] - ETA: 0s - loss: 0.4529
124/124 [==============================] - 0s 1ms/step - loss: 0.4509
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3095
 42/124 [=========>....................] - ETA: 0s - loss: 0.4374
 82/124 [==================>...........] - ETA: 0s - loss: 0.4343
122/124 [============================>.] - ETA: 0s - loss: 0.4322
124/124 [==============================] - 0s 1ms/step - loss: 0.4340
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4196
 40/124 [========>.....................] - ETA: 0s - loss: 0.4532
 79/124 [==================>...........] - ETA: 0s - loss: 0.4368
116/124 [===========================>..] - ETA: 0s - loss: 0.4250
124/124 [==============================] - 0s 1ms/step - loss: 0.4244
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4518
 40/124 [========>.....................] - ETA: 0s - loss: 0.4226
 79/124 [==================>...........] - ETA: 0s - loss: 0.4082
118/124 [===========================>..] - ETA: 0s - loss: 0.4107
124/124 [==============================] - 0s 1ms/step - loss: 0.4111
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4497
 36/124 [=======>......................] - ETA: 0s - loss: 0.4029
 75/124 [=================>............] - ETA: 0s - loss: 0.4010
116/124 [===========================>..] - ETA: 0s - loss: 0.4048
124/124 [==============================] - 0s 1ms/step - loss: 0.4049
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.6854
 40/124 [========>.....................] - ETA: 0s - loss: 0.4139
 78/124 [=================>............] - ETA: 0s - loss: 0.4108
116/124 [===========================>..] - ETA: 0s - loss: 0.3957
124/124 [==============================] - 0s 1ms/step - loss: 0.3977
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3304
 41/124 [========>.....................] - ETA: 0s - loss: 0.3972
 69/124 [===============>..............] - ETA: 0s - loss: 0.4102
103/124 [=======================>......] - ETA: 0s - loss: 0.4084
124/124 [==============================] - 0s 2ms/step - loss: 0.4043
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3331
 37/124 [=======>......................] - ETA: 0s - loss: 0.3843
 77/124 [=================>............] - ETA: 0s - loss: 0.3814
116/124 [===========================>..] - ETA: 0s - loss: 0.3898
124/124 [==============================] - 0s 1ms/step - loss: 0.3896
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3071
 41/124 [========>.....................] - ETA: 0s - loss: 0.3706
 82/124 [==================>...........] - ETA: 0s - loss: 0.3772
123/124 [============================>.] - ETA: 0s - loss: 0.3800
124/124 [==============================] - 0s 1ms/step - loss: 0.3799
-> test with GAN.predict
GAN tn, fp: 270, 40
GAN fn, tp: 7, 4
GAN f1 score: 0.145
GAN cohens kappa score: 0.096

-> test with 'LR'
LR tn, fp: 204, 106
LR fn, tp: 2, 9
LR f1 score: 0.143
LR cohens kappa score: 0.086
LR average precision score: 0.172

-> test with 'RF'
RF tn, fp: 306, 4
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.019

-> test with 'GB'
GB tn, fp: 287, 23
GB fn, tp: 9, 2
GB f1 score: 0.111
GB cohens kappa score: 0.067

-> test with 'KNN'
KNN tn, fp: 224, 86
KNN fn, tp: 5, 6
KNN f1 score: 0.117
KNN cohens kappa score: 0.059


------ Step 3/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 16s - loss: 0.9389
 37/124 [=======>......................] - ETA: 0s - loss: 0.6276 
 77/124 [=================>............] - ETA: 0s - loss: 0.6095
119/124 [===========================>..] - ETA: 0s - loss: 0.5937
124/124 [==============================] - 0s 1ms/step - loss: 0.5898
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.7519
 44/124 [=========>....................] - ETA: 0s - loss: 0.5550
 84/124 [===================>..........] - ETA: 0s - loss: 0.5367
122/124 [============================>.] - ETA: 0s - loss: 0.5333
124/124 [==============================] - 0s 1ms/step - loss: 0.5323
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.5470
 42/124 [=========>....................] - ETA: 0s - loss: 0.5073
 86/124 [===================>..........] - ETA: 0s - loss: 0.5049
124/124 [==============================] - 0s 1ms/step - loss: 0.4952
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4975
 45/124 [=========>....................] - ETA: 0s - loss: 0.4901
 86/124 [===================>..........] - ETA: 0s - loss: 0.4898
124/124 [==============================] - 0s 1ms/step - loss: 0.4830
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3600
 42/124 [=========>....................] - ETA: 0s - loss: 0.4728
 86/124 [===================>..........] - ETA: 0s - loss: 0.4708
124/124 [==============================] - 0s 1ms/step - loss: 0.4736
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.8112
 44/124 [=========>....................] - ETA: 0s - loss: 0.4686
 87/124 [====================>.........] - ETA: 0s - loss: 0.4780
124/124 [==============================] - 0s 1ms/step - loss: 0.4703
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.4134
 43/124 [=========>....................] - ETA: 0s - loss: 0.4636
 85/124 [===================>..........] - ETA: 0s - loss: 0.4633
124/124 [==============================] - 0s 1ms/step - loss: 0.4581
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.5053
 42/124 [=========>....................] - ETA: 0s - loss: 0.4647
 83/124 [===================>..........] - ETA: 0s - loss: 0.4603
124/124 [==============================] - 0s 1ms/step - loss: 0.4570
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.5621
 45/124 [=========>....................] - ETA: 0s - loss: 0.4320
 87/124 [====================>.........] - ETA: 0s - loss: 0.4471
124/124 [==============================] - 0s 1ms/step - loss: 0.4424
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4313
 44/124 [=========>....................] - ETA: 0s - loss: 0.4563
 86/124 [===================>..........] - ETA: 0s - loss: 0.4442
124/124 [==============================] - 0s 1ms/step - loss: 0.4433
-> test with GAN.predict
GAN tn, fp: 240, 66
GAN fn, tp: 4, 5
GAN f1 score: 0.125
GAN cohens kappa score: 0.078

-> test with 'LR'
LR tn, fp: 217, 89
LR fn, tp: 2, 7
LR f1 score: 0.133
LR cohens kappa score: 0.086
LR average precision score: 0.131

-> test with 'RF'
RF tn, fp: 302, 4
RF fn, tp: 8, 1
RF f1 score: 0.143
RF cohens kappa score: 0.125

-> test with 'GB'
GB tn, fp: 289, 17
GB fn, tp: 8, 1
GB f1 score: 0.074
GB cohens kappa score: 0.037

-> test with 'KNN'
KNN tn, fp: 217, 89
KNN fn, tp: 6, 3
KNN f1 score: 0.059
KNN cohens kappa score: 0.008


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

------ Step 4/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 20s - loss: 0.3989
 42/124 [=========>....................] - ETA: 0s - loss: 0.5308 
 80/124 [==================>...........] - ETA: 0s - loss: 0.5397
120/124 [============================>.] - ETA: 0s - loss: 0.5177
124/124 [==============================] - 0s 1ms/step - loss: 0.5139
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4585
 41/124 [========>.....................] - ETA: 0s - loss: 0.4687
 78/124 [=================>............] - ETA: 0s - loss: 0.4600
115/124 [==========================>...] - ETA: 0s - loss: 0.4607
124/124 [==============================] - 0s 1ms/step - loss: 0.4607
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4118
 36/124 [=======>......................] - ETA: 0s - loss: 0.4569
 68/124 [===============>..............] - ETA: 0s - loss: 0.4426
102/124 [=======================>......] - ETA: 0s - loss: 0.4416
124/124 [==============================] - 0s 2ms/step - loss: 0.4469
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3729
 40/124 [========>.....................] - ETA: 0s - loss: 0.4390
 78/124 [=================>............] - ETA: 0s - loss: 0.4296
117/124 [===========================>..] - ETA: 0s - loss: 0.4306
124/124 [==============================] - 0s 1ms/step - loss: 0.4273
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2390
 41/124 [========>.....................] - ETA: 0s - loss: 0.3942
 81/124 [==================>...........] - ETA: 0s - loss: 0.4093
120/124 [============================>.] - ETA: 0s - loss: 0.4071
124/124 [==============================] - 0s 1ms/step - loss: 0.4088
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3738
 41/124 [========>.....................] - ETA: 0s - loss: 0.3891
 80/124 [==================>...........] - ETA: 0s - loss: 0.3890
120/124 [============================>.] - ETA: 0s - loss: 0.4000
124/124 [==============================] - 0s 1ms/step - loss: 0.4022
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3653
 42/124 [=========>....................] - ETA: 0s - loss: 0.3912
 82/124 [==================>...........] - ETA: 0s - loss: 0.3988
122/124 [============================>.] - ETA: 0s - loss: 0.3913
124/124 [==============================] - 0s 1ms/step - loss: 0.3920
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3609
 42/124 [=========>....................] - ETA: 0s - loss: 0.3808
 83/124 [===================>..........] - ETA: 0s - loss: 0.3982
122/124 [============================>.] - ETA: 0s - loss: 0.3897
124/124 [==============================] - 0s 1ms/step - loss: 0.3894
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.5016
 42/124 [=========>....................] - ETA: 0s - loss: 0.3813
 81/124 [==================>...........] - ETA: 0s - loss: 0.3744
122/124 [============================>.] - ETA: 0s - loss: 0.3791
124/124 [==============================] - 0s 1ms/step - loss: 0.3795
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3577
 39/124 [========>.....................] - ETA: 0s - loss: 0.4026
 79/124 [==================>...........] - ETA: 0s - loss: 0.3896
119/124 [===========================>..] - ETA: 0s - loss: 0.3830
124/124 [==============================] - 0s 1ms/step - loss: 0.3799
-> test with GAN.predict
GAN tn, fp: 258, 52
GAN fn, tp: 8, 3
GAN f1 score: 0.091
GAN cohens kappa score: 0.036

-> test with 'LR'
LR tn, fp: 214, 96
LR fn, tp: 3, 8
LR f1 score: 0.139
LR cohens kappa score: 0.082
LR average precision score: 0.337

-> test with 'RF'
RF tn, fp: 309, 1
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.006

-> test with 'GB'
GB tn, fp: 296, 14
GB fn, tp: 9, 2
GB f1 score: 0.148
GB cohens kappa score: 0.112

-> test with 'KNN'
KNN tn, fp: 233, 77
KNN fn, tp: 9, 2
KNN f1 score: 0.044
KNN cohens kappa score: -0.017


------ Step 4/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.7719
 41/124 [========>.....................] - ETA: 0s - loss: 0.6012 
 81/124 [==================>...........] - ETA: 0s - loss: 0.5856
121/124 [============================>.] - ETA: 0s - loss: 0.5681
124/124 [==============================] - 0s 1ms/step - loss: 0.5666
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5166
 40/124 [========>.....................] - ETA: 0s - loss: 0.4936
 78/124 [=================>............] - ETA: 0s - loss: 0.4955
118/124 [===========================>..] - ETA: 0s - loss: 0.4982
124/124 [==============================] - 0s 1ms/step - loss: 0.4976
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4397
 41/124 [========>.....................] - ETA: 0s - loss: 0.4732
 81/124 [==================>...........] - ETA: 0s - loss: 0.4657
121/124 [============================>.] - ETA: 0s - loss: 0.4770
124/124 [==============================] - 0s 1ms/step - loss: 0.4777
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5384
 42/124 [=========>....................] - ETA: 0s - loss: 0.4847
 82/124 [==================>...........] - ETA: 0s - loss: 0.4709
121/124 [============================>.] - ETA: 0s - loss: 0.4568
124/124 [==============================] - 0s 1ms/step - loss: 0.4565
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5018
 35/124 [=======>......................] - ETA: 0s - loss: 0.4291
 68/124 [===============>..............] - ETA: 0s - loss: 0.4128
102/124 [=======================>......] - ETA: 0s - loss: 0.4223
124/124 [==============================] - 0s 1ms/step - loss: 0.4260
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3320
 36/124 [=======>......................] - ETA: 0s - loss: 0.4354
 74/124 [================>.............] - ETA: 0s - loss: 0.4207
110/124 [=========================>....] - ETA: 0s - loss: 0.4225
124/124 [==============================] - 0s 1ms/step - loss: 0.4181
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3493
 39/124 [========>.....................] - ETA: 0s - loss: 0.4033
 79/124 [==================>...........] - ETA: 0s - loss: 0.3979
120/124 [============================>.] - ETA: 0s - loss: 0.4051
124/124 [==============================] - 0s 1ms/step - loss: 0.4030
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4415
 39/124 [========>.....................] - ETA: 0s - loss: 0.4102
 77/124 [=================>............] - ETA: 0s - loss: 0.4000
117/124 [===========================>..] - ETA: 0s - loss: 0.3960
124/124 [==============================] - 0s 1ms/step - loss: 0.3968
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4920
 41/124 [========>.....................] - ETA: 0s - loss: 0.3662
 80/124 [==================>...........] - ETA: 0s - loss: 0.3839
119/124 [===========================>..] - ETA: 0s - loss: 0.3807
124/124 [==============================] - 0s 1ms/step - loss: 0.3787
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.5270
 41/124 [========>.....................] - ETA: 0s - loss: 0.3749
 79/124 [==================>...........] - ETA: 0s - loss: 0.3859
118/124 [===========================>..] - ETA: 0s - loss: 0.3743
124/124 [==============================] - 0s 1ms/step - loss: 0.3733
-> test with GAN.predict
GAN tn, fp: 268, 42
GAN fn, tp: 7, 4
GAN f1 score: 0.140
GAN cohens kappa score: 0.090

-> test with 'LR'
LR tn, fp: 217, 93
LR fn, tp: 3, 8
LR f1 score: 0.143
LR cohens kappa score: 0.086
LR average precision score: 0.193

-> test with 'RF'
RF tn, fp: 305, 5
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.022

-> test with 'GB'
GB tn, fp: 288, 22
GB fn, tp: 7, 4
GB f1 score: 0.216
GB cohens kappa score: 0.177

-> test with 'KNN'
KNN tn, fp: 212, 98
KNN fn, tp: 6, 5
KNN f1 score: 0.088
KNN cohens kappa score: 0.027


------ Step 4/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 23s - loss: 0.5132
 34/124 [=======>......................] - ETA: 0s - loss: 0.5481 
 73/124 [================>.............] - ETA: 0s - loss: 0.5143
110/124 [=========================>....] - ETA: 0s - loss: 0.5052
124/124 [==============================] - 0s 1ms/step - loss: 0.5064
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4417
 34/124 [=======>......................] - ETA: 0s - loss: 0.4603
 68/124 [===============>..............] - ETA: 0s - loss: 0.4679
 99/124 [======================>.......] - ETA: 0s - loss: 0.4520
124/124 [==============================] - 0s 2ms/step - loss: 0.4541
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3029
 31/124 [======>.......................] - ETA: 0s - loss: 0.4262
 69/124 [===============>..............] - ETA: 0s - loss: 0.4324
103/124 [=======================>......] - ETA: 0s - loss: 0.4355
124/124 [==============================] - 0s 2ms/step - loss: 0.4355
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4231
 37/124 [=======>......................] - ETA: 0s - loss: 0.4223
 72/124 [================>.............] - ETA: 0s - loss: 0.4227
108/124 [=========================>....] - ETA: 0s - loss: 0.4277
124/124 [==============================] - 0s 1ms/step - loss: 0.4300
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3530
 35/124 [=======>......................] - ETA: 0s - loss: 0.4422
 73/124 [================>.............] - ETA: 0s - loss: 0.4201
113/124 [==========================>...] - ETA: 0s - loss: 0.4196
124/124 [==============================] - 0s 1ms/step - loss: 0.4170
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3749
 38/124 [========>.....................] - ETA: 0s - loss: 0.3979
 72/124 [================>.............] - ETA: 0s - loss: 0.4065
105/124 [========================>.....] - ETA: 0s - loss: 0.4068
124/124 [==============================] - 0s 1ms/step - loss: 0.4072
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.6330
 33/124 [======>.......................] - ETA: 0s - loss: 0.3996
 69/124 [===============>..............] - ETA: 0s - loss: 0.3963
108/124 [=========================>....] - ETA: 0s - loss: 0.3965
124/124 [==============================] - 0s 1ms/step - loss: 0.3976
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4430
 31/124 [======>.......................] - ETA: 0s - loss: 0.3837
 52/124 [===========>..................] - ETA: 0s - loss: 0.3928
 68/124 [===============>..............] - ETA: 0s - loss: 0.3871
 85/124 [===================>..........] - ETA: 0s - loss: 0.4023
106/124 [========================>.....] - ETA: 0s - loss: 0.3984
124/124 [==============================] - 0s 2ms/step - loss: 0.3933
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2453
 30/124 [======>.......................] - ETA: 0s - loss: 0.3620
 60/124 [=============>................] - ETA: 0s - loss: 0.3770
 87/124 [====================>.........] - ETA: 0s - loss: 0.3832
114/124 [==========================>...] - ETA: 0s - loss: 0.3836
124/124 [==============================] - 0s 2ms/step - loss: 0.3836
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3443
 33/124 [======>.......................] - ETA: 0s - loss: 0.4095
 55/124 [============>.................] - ETA: 0s - loss: 0.4126
 77/124 [=================>............] - ETA: 0s - loss: 0.3994
101/124 [=======================>......] - ETA: 0s - loss: 0.3929
124/124 [==============================] - ETA: 0s - loss: 0.3896
124/124 [==============================] - 0s 2ms/step - loss: 0.3896
-> test with GAN.predict
GAN tn, fp: 256, 54
GAN fn, tp: 7, 4
GAN f1 score: 0.116
GAN cohens kappa score: 0.062

-> test with 'LR'
LR tn, fp: 227, 83
LR fn, tp: 5, 6
LR f1 score: 0.120
LR cohens kappa score: 0.063
LR average precision score: 0.104

-> test with 'RF'
RF tn, fp: 307, 3
RF fn, tp: 10, 1
RF f1 score: 0.133
RF cohens kappa score: 0.117

-> test with 'GB'
GB tn, fp: 295, 15
GB fn, tp: 9, 2
GB f1 score: 0.143
GB cohens kappa score: 0.106

-> test with 'KNN'
KNN tn, fp: 237, 73
KNN fn, tp: 9, 2
KNN f1 score: 0.047
KNN cohens kappa score: -0.014


------ Step 4/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 50s - loss: 0.7328
 39/124 [========>.....................] - ETA: 0s - loss: 0.5901 
 75/124 [=================>............] - ETA: 0s - loss: 0.5642
113/124 [==========================>...] - ETA: 0s - loss: 0.5590
124/124 [==============================] - 1s 1ms/step - loss: 0.5570
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5451
 41/124 [========>.....................] - ETA: 0s - loss: 0.5102
 78/124 [=================>............] - ETA: 0s - loss: 0.5232
117/124 [===========================>..] - ETA: 0s - loss: 0.5191
124/124 [==============================] - 0s 1ms/step - loss: 0.5172
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.6764
 36/124 [=======>......................] - ETA: 0s - loss: 0.4972
 74/124 [================>.............] - ETA: 0s - loss: 0.4875
113/124 [==========================>...] - ETA: 0s - loss: 0.4854
124/124 [==============================] - 0s 1ms/step - loss: 0.4872
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4508
 41/124 [========>.....................] - ETA: 0s - loss: 0.4905
 80/124 [==================>...........] - ETA: 0s - loss: 0.4843
120/124 [============================>.] - ETA: 0s - loss: 0.4782
124/124 [==============================] - 0s 1ms/step - loss: 0.4772
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5032
 38/124 [========>.....................] - ETA: 0s - loss: 0.4755
 76/124 [=================>............] - ETA: 0s - loss: 0.4726
114/124 [==========================>...] - ETA: 0s - loss: 0.4653
124/124 [==============================] - 0s 1ms/step - loss: 0.4641
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4394
 37/124 [=======>......................] - ETA: 0s - loss: 0.4373
 68/124 [===============>..............] - ETA: 0s - loss: 0.4646
100/124 [=======================>......] - ETA: 0s - loss: 0.4636
124/124 [==============================] - 0s 2ms/step - loss: 0.4612
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.5400
 38/124 [========>.....................] - ETA: 0s - loss: 0.4511
 78/124 [=================>............] - ETA: 0s - loss: 0.4371
116/124 [===========================>..] - ETA: 0s - loss: 0.4363
124/124 [==============================] - 0s 1ms/step - loss: 0.4342
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3454
 41/124 [========>.....................] - ETA: 0s - loss: 0.4283
 79/124 [==================>...........] - ETA: 0s - loss: 0.4318
118/124 [===========================>..] - ETA: 0s - loss: 0.4275
124/124 [==============================] - 0s 1ms/step - loss: 0.4287
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4832
 40/124 [========>.....................] - ETA: 0s - loss: 0.4216
 79/124 [==================>...........] - ETA: 0s - loss: 0.4368
116/124 [===========================>..] - ETA: 0s - loss: 0.4231
124/124 [==============================] - 0s 1ms/step - loss: 0.4218
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4684
 39/124 [========>.....................] - ETA: 0s - loss: 0.4231
 78/124 [=================>............] - ETA: 0s - loss: 0.4153
117/124 [===========================>..] - ETA: 0s - loss: 0.4128
124/124 [==============================] - 0s 1ms/step - loss: 0.4129
-> test with GAN.predict
GAN tn, fp: 234, 76
GAN fn, tp: 4, 7
GAN f1 score: 0.149
GAN cohens kappa score: 0.094

-> test with 'LR'
LR tn, fp: 207, 103
LR fn, tp: 1, 10
LR f1 score: 0.161
LR cohens kappa score: 0.105
LR average precision score: 0.134

-> test with 'RF'
RF tn, fp: 308, 2
RF fn, tp: 10, 1
RF f1 score: 0.143
RF cohens kappa score: 0.130

-> test with 'GB'
GB tn, fp: 298, 12
GB fn, tp: 9, 2
GB f1 score: 0.160
GB cohens kappa score: 0.126

-> test with 'KNN'
KNN tn, fp: 238, 72
KNN fn, tp: 9, 2
KNN f1 score: 0.047
KNN cohens kappa score: -0.013


------ Step 4/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 16s - loss: 0.5206
 43/124 [=========>....................] - ETA: 0s - loss: 0.4877 
 84/124 [===================>..........] - ETA: 0s - loss: 0.4730
124/124 [==============================] - 0s 1ms/step - loss: 0.4663
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3509
 44/124 [=========>....................] - ETA: 0s - loss: 0.4365
 83/124 [===================>..........] - ETA: 0s - loss: 0.4415
124/124 [==============================] - 0s 1ms/step - loss: 0.4345
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3496
 44/124 [=========>....................] - ETA: 0s - loss: 0.4133
 88/124 [====================>.........] - ETA: 0s - loss: 0.4180
124/124 [==============================] - 0s 1ms/step - loss: 0.4108
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5196
 39/124 [========>.....................] - ETA: 0s - loss: 0.4308
 82/124 [==================>...........] - ETA: 0s - loss: 0.4222
121/124 [============================>.] - ETA: 0s - loss: 0.4026
124/124 [==============================] - 0s 1ms/step - loss: 0.4041
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5341
 40/124 [========>.....................] - ETA: 0s - loss: 0.3590
 84/124 [===================>..........] - ETA: 0s - loss: 0.3745
120/124 [============================>.] - ETA: 0s - loss: 0.3836
124/124 [==============================] - 0s 1ms/step - loss: 0.3845
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2791
 39/124 [========>.....................] - ETA: 0s - loss: 0.3986
 80/124 [==================>...........] - ETA: 0s - loss: 0.3785
116/124 [===========================>..] - ETA: 0s - loss: 0.3794
124/124 [==============================] - 0s 1ms/step - loss: 0.3770
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2567
 43/124 [=========>....................] - ETA: 0s - loss: 0.3436
 86/124 [===================>..........] - ETA: 0s - loss: 0.3546
124/124 [==============================] - 0s 1ms/step - loss: 0.3638
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3245
 43/124 [=========>....................] - ETA: 0s - loss: 0.3512
 85/124 [===================>..........] - ETA: 0s - loss: 0.3530
124/124 [==============================] - 0s 1ms/step - loss: 0.3575
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4213
 24/124 [====>.........................] - ETA: 0s - loss: 0.3618
 46/124 [==========>...................] - ETA: 0s - loss: 0.3569
 86/124 [===================>..........] - ETA: 0s - loss: 0.3458
124/124 [==============================] - 0s 2ms/step - loss: 0.3534
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2817
 41/124 [========>.....................] - ETA: 0s - loss: 0.3504
 83/124 [===================>..........] - ETA: 0s - loss: 0.3511
124/124 [==============================] - 0s 1ms/step - loss: 0.3411
-> test with GAN.predict
GAN tn, fp: 250, 56
GAN fn, tp: 9, 0
GAN f1 score: 0.000
GAN cohens kappa score: -0.052

-> test with 'LR'
LR tn, fp: 223, 83
LR fn, tp: 6, 3
LR f1 score: 0.063
LR cohens kappa score: 0.012
LR average precision score: 0.035

-> test with 'RF'
RF tn, fp: 293, 13
RF fn, tp: 8, 1
RF f1 score: 0.087
RF cohens kappa score: 0.054

-> test with 'GB'
GB tn, fp: 278, 28
GB fn, tp: 8, 1
GB f1 score: 0.053
GB cohens kappa score: 0.009

-> test with 'KNN'
KNN tn, fp: 226, 80
KNN fn, tp: 6, 3
KNN f1 score: 0.065
KNN cohens kappa score: 0.014


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

------ Step 5/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.6375
 42/124 [=========>....................] - ETA: 0s - loss: 0.5018 
 84/124 [===================>..........] - ETA: 0s - loss: 0.4767
121/124 [============================>.] - ETA: 0s - loss: 0.4559
124/124 [==============================] - 0s 1ms/step - loss: 0.4545
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4732
 42/124 [=========>....................] - ETA: 0s - loss: 0.4330
 82/124 [==================>...........] - ETA: 0s - loss: 0.4147
122/124 [============================>.] - ETA: 0s - loss: 0.4202
124/124 [==============================] - 0s 1ms/step - loss: 0.4203
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4224
 39/124 [========>.....................] - ETA: 0s - loss: 0.4044
 79/124 [==================>...........] - ETA: 0s - loss: 0.4059
120/124 [============================>.] - ETA: 0s - loss: 0.4040
124/124 [==============================] - 0s 1ms/step - loss: 0.4062
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3715
 41/124 [========>.....................] - ETA: 0s - loss: 0.4031
 81/124 [==================>...........] - ETA: 0s - loss: 0.3928
121/124 [============================>.] - ETA: 0s - loss: 0.4005
124/124 [==============================] - 0s 1ms/step - loss: 0.4018
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2429
 40/124 [========>.....................] - ETA: 0s - loss: 0.3920
 79/124 [==================>...........] - ETA: 0s - loss: 0.4003
121/124 [============================>.] - ETA: 0s - loss: 0.3855
124/124 [==============================] - 0s 1ms/step - loss: 0.3857
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2234
 41/124 [========>.....................] - ETA: 0s - loss: 0.3779
 82/124 [==================>...........] - ETA: 0s - loss: 0.3719
123/124 [============================>.] - ETA: 0s - loss: 0.3764
124/124 [==============================] - 0s 1ms/step - loss: 0.3754
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3687
 41/124 [========>.....................] - ETA: 0s - loss: 0.4009
 78/124 [=================>............] - ETA: 0s - loss: 0.3952
119/124 [===========================>..] - ETA: 0s - loss: 0.3793
124/124 [==============================] - 0s 1ms/step - loss: 0.3786
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3030
 41/124 [========>.....................] - ETA: 0s - loss: 0.3461
 83/124 [===================>..........] - ETA: 0s - loss: 0.3599
123/124 [============================>.] - ETA: 0s - loss: 0.3602
124/124 [==============================] - 0s 1ms/step - loss: 0.3607
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4497
 42/124 [=========>....................] - ETA: 0s - loss: 0.3322
 83/124 [===================>..........] - ETA: 0s - loss: 0.3438
124/124 [==============================] - ETA: 0s - loss: 0.3544
124/124 [==============================] - 0s 1ms/step - loss: 0.3544
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3355
 41/124 [========>.....................] - ETA: 0s - loss: 0.3438
 75/124 [=================>............] - ETA: 0s - loss: 0.3523
109/124 [=========================>....] - ETA: 0s - loss: 0.3497
124/124 [==============================] - 0s 1ms/step - loss: 0.3533
-> test with GAN.predict
GAN tn, fp: 264, 46
GAN fn, tp: 9, 2
GAN f1 score: 0.068
GAN cohens kappa score: 0.013

-> test with 'LR'
LR tn, fp: 226, 84
LR fn, tp: 5, 6
LR f1 score: 0.119
LR cohens kappa score: 0.061
LR average precision score: 0.083

-> test with 'RF'
RF tn, fp: 306, 4
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.019

-> test with 'GB'
GB tn, fp: 289, 21
GB fn, tp: 10, 1
GB f1 score: 0.061
GB cohens kappa score: 0.016

-> test with 'KNN'
KNN tn, fp: 228, 82
KNN fn, tp: 8, 3
KNN f1 score: 0.062
KNN cohens kappa score: 0.002


------ Step 5/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.7785
 40/124 [========>.....................] - ETA: 0s - loss: 0.5553 
 77/124 [=================>............] - ETA: 0s - loss: 0.5217
117/124 [===========================>..] - ETA: 0s - loss: 0.5023
124/124 [==============================] - 0s 1ms/step - loss: 0.5001
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5881
 41/124 [========>.....................] - ETA: 0s - loss: 0.4931
 81/124 [==================>...........] - ETA: 0s - loss: 0.5005
121/124 [============================>.] - ETA: 0s - loss: 0.4843
124/124 [==============================] - 0s 1ms/step - loss: 0.4842
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4554
 41/124 [========>.....................] - ETA: 0s - loss: 0.4539
 81/124 [==================>...........] - ETA: 0s - loss: 0.4458
119/124 [===========================>..] - ETA: 0s - loss: 0.4348
124/124 [==============================] - 0s 1ms/step - loss: 0.4357
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4156
 40/124 [========>.....................] - ETA: 0s - loss: 0.4302
 80/124 [==================>...........] - ETA: 0s - loss: 0.4476
121/124 [============================>.] - ETA: 0s - loss: 0.4366
124/124 [==============================] - 0s 1ms/step - loss: 0.4359
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3383
 39/124 [========>.....................] - ETA: 0s - loss: 0.4158
 80/124 [==================>...........] - ETA: 0s - loss: 0.4136
115/124 [==========================>...] - ETA: 0s - loss: 0.4129
124/124 [==============================] - 0s 1ms/step - loss: 0.4153
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.6711
 39/124 [========>.....................] - ETA: 0s - loss: 0.4218
 78/124 [=================>............] - ETA: 0s - loss: 0.4194
118/124 [===========================>..] - ETA: 0s - loss: 0.4130
124/124 [==============================] - 0s 1ms/step - loss: 0.4141
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3866
 41/124 [========>.....................] - ETA: 0s - loss: 0.4168
 81/124 [==================>...........] - ETA: 0s - loss: 0.4083
121/124 [============================>.] - ETA: 0s - loss: 0.3980
124/124 [==============================] - 0s 1ms/step - loss: 0.3987
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4613
 39/124 [========>.....................] - ETA: 0s - loss: 0.4096
 79/124 [==================>...........] - ETA: 0s - loss: 0.3959
119/124 [===========================>..] - ETA: 0s - loss: 0.3979
124/124 [==============================] - 0s 1ms/step - loss: 0.3945
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3349
 41/124 [========>.....................] - ETA: 0s - loss: 0.4014
 81/124 [==================>...........] - ETA: 0s - loss: 0.3954
120/124 [============================>.] - ETA: 0s - loss: 0.3869
124/124 [==============================] - 0s 1ms/step - loss: 0.3849
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3603
 40/124 [========>.....................] - ETA: 0s - loss: 0.4062
 80/124 [==================>...........] - ETA: 0s - loss: 0.4102
119/124 [===========================>..] - ETA: 0s - loss: 0.3922
124/124 [==============================] - 0s 1ms/step - loss: 0.3905
-> test with GAN.predict
GAN tn, fp: 220, 90
GAN fn, tp: 7, 4
GAN f1 score: 0.076
GAN cohens kappa score: 0.016

-> test with 'LR'
LR tn, fp: 226, 84
LR fn, tp: 5, 6
LR f1 score: 0.119
LR cohens kappa score: 0.061
LR average precision score: 0.081

-> test with 'RF'
RF tn, fp: 304, 6
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.025

-> test with 'GB'
GB tn, fp: 289, 21
GB fn, tp: 8, 3
GB f1 score: 0.171
GB cohens kappa score: 0.131

-> test with 'KNN'
KNN tn, fp: 216, 94
KNN fn, tp: 6, 5
KNN f1 score: 0.091
KNN cohens kappa score: 0.031


------ Step 5/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 24s - loss: 0.6481
 39/124 [========>.....................] - ETA: 0s - loss: 0.4941 
 76/124 [=================>............] - ETA: 0s - loss: 0.4786
113/124 [==========================>...] - ETA: 0s - loss: 0.4777
124/124 [==============================] - 0s 1ms/step - loss: 0.4755
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4362
 40/124 [========>.....................] - ETA: 0s - loss: 0.4564
 78/124 [=================>............] - ETA: 0s - loss: 0.4527
117/124 [===========================>..] - ETA: 0s - loss: 0.4443
124/124 [==============================] - 0s 1ms/step - loss: 0.4413
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3083
 38/124 [========>.....................] - ETA: 0s - loss: 0.4031
 77/124 [=================>............] - ETA: 0s - loss: 0.4166
114/124 [==========================>...] - ETA: 0s - loss: 0.4112
124/124 [==============================] - 0s 1ms/step - loss: 0.4119
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5062
 39/124 [========>.....................] - ETA: 0s - loss: 0.3811
 78/124 [=================>............] - ETA: 0s - loss: 0.3994
116/124 [===========================>..] - ETA: 0s - loss: 0.3974
124/124 [==============================] - 0s 1ms/step - loss: 0.3962
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4211
 41/124 [========>.....................] - ETA: 0s - loss: 0.3898
 79/124 [==================>...........] - ETA: 0s - loss: 0.3767
119/124 [===========================>..] - ETA: 0s - loss: 0.3874
124/124 [==============================] - 0s 1ms/step - loss: 0.3853
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3213
 39/124 [========>.....................] - ETA: 0s - loss: 0.3798
 79/124 [==================>...........] - ETA: 0s - loss: 0.3818
118/124 [===========================>..] - ETA: 0s - loss: 0.3723
124/124 [==============================] - 0s 1ms/step - loss: 0.3758
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2921
 40/124 [========>.....................] - ETA: 0s - loss: 0.3825
 78/124 [=================>............] - ETA: 0s - loss: 0.3653
116/124 [===========================>..] - ETA: 0s - loss: 0.3694
124/124 [==============================] - 0s 1ms/step - loss: 0.3683
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3178
 42/124 [=========>....................] - ETA: 0s - loss: 0.3554
 81/124 [==================>...........] - ETA: 0s - loss: 0.3540
120/124 [============================>.] - ETA: 0s - loss: 0.3554
124/124 [==============================] - 0s 1ms/step - loss: 0.3581
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3120
 37/124 [=======>......................] - ETA: 0s - loss: 0.3213
 73/124 [================>.............] - ETA: 0s - loss: 0.3382
111/124 [=========================>....] - ETA: 0s - loss: 0.3479
124/124 [==============================] - 0s 1ms/step - loss: 0.3493
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4136
 39/124 [========>.....................] - ETA: 0s - loss: 0.3655
 78/124 [=================>............] - ETA: 0s - loss: 0.3494
117/124 [===========================>..] - ETA: 0s - loss: 0.3498
124/124 [==============================] - 0s 1ms/step - loss: 0.3495
-> test with GAN.predict
GAN tn, fp: 209, 101
GAN fn, tp: 5, 6
GAN f1 score: 0.102
GAN cohens kappa score: 0.042

-> test with 'LR'
LR tn, fp: 202, 108
LR fn, tp: 0, 11
LR f1 score: 0.169
LR cohens kappa score: 0.114
LR average precision score: 0.280

-> test with 'RF'
RF tn, fp: 306, 4
RF fn, tp: 10, 1
RF f1 score: 0.125
RF cohens kappa score: 0.106

-> test with 'GB'
GB tn, fp: 275, 35
GB fn, tp: 7, 4
GB f1 score: 0.160
GB cohens kappa score: 0.113

-> test with 'KNN'
KNN tn, fp: 234, 76
KNN fn, tp: 6, 5
KNN f1 score: 0.109
KNN cohens kappa score: 0.051


------ Step 5/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 20s - loss: 0.6546
 43/124 [=========>....................] - ETA: 0s - loss: 0.5856 
 81/124 [==================>...........] - ETA: 0s - loss: 0.5617
122/124 [============================>.] - ETA: 0s - loss: 0.5543
124/124 [==============================] - 0s 1ms/step - loss: 0.5542
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5439
 41/124 [========>.....................] - ETA: 0s - loss: 0.5425
 84/124 [===================>..........] - ETA: 0s - loss: 0.5382
124/124 [==============================] - ETA: 0s - loss: 0.5276
124/124 [==============================] - 0s 1ms/step - loss: 0.5276
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4889
 34/124 [=======>......................] - ETA: 0s - loss: 0.5186
 72/124 [================>.............] - ETA: 0s - loss: 0.5080
106/124 [========================>.....] - ETA: 0s - loss: 0.5095
124/124 [==============================] - 0s 1ms/step - loss: 0.5042
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3302
 40/124 [========>.....................] - ETA: 0s - loss: 0.4725
 78/124 [=================>............] - ETA: 0s - loss: 0.4742
118/124 [===========================>..] - ETA: 0s - loss: 0.4771
124/124 [==============================] - 0s 1ms/step - loss: 0.4773
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5084
 42/124 [=========>....................] - ETA: 0s - loss: 0.4757
 81/124 [==================>...........] - ETA: 0s - loss: 0.4707
119/124 [===========================>..] - ETA: 0s - loss: 0.4689
124/124 [==============================] - 0s 1ms/step - loss: 0.4698
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3704
 37/124 [=======>......................] - ETA: 0s - loss: 0.4737
 76/124 [=================>............] - ETA: 0s - loss: 0.4509
116/124 [===========================>..] - ETA: 0s - loss: 0.4549
124/124 [==============================] - 0s 1ms/step - loss: 0.4543
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.4759
 42/124 [=========>....................] - ETA: 0s - loss: 0.4699
 82/124 [==================>...........] - ETA: 0s - loss: 0.4613
119/124 [===========================>..] - ETA: 0s - loss: 0.4559
124/124 [==============================] - 0s 1ms/step - loss: 0.4564
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.5568
 38/124 [========>.....................] - ETA: 0s - loss: 0.4234
 77/124 [=================>............] - ETA: 0s - loss: 0.4248
115/124 [==========================>...] - ETA: 0s - loss: 0.4356
124/124 [==============================] - 0s 1ms/step - loss: 0.4303
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4011
 41/124 [========>.....................] - ETA: 0s - loss: 0.4352
 81/124 [==================>...........] - ETA: 0s - loss: 0.4269
120/124 [============================>.] - ETA: 0s - loss: 0.4204
124/124 [==============================] - 0s 1ms/step - loss: 0.4213
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3459
 42/124 [=========>....................] - ETA: 0s - loss: 0.4180
 81/124 [==================>...........] - ETA: 0s - loss: 0.4183
121/124 [============================>.] - ETA: 0s - loss: 0.4174
124/124 [==============================] - 0s 1ms/step - loss: 0.4163
-> test with GAN.predict
GAN tn, fp: 270, 40
GAN fn, tp: 6, 5
GAN f1 score: 0.179
GAN cohens kappa score: 0.131

-> test with 'LR'
LR tn, fp: 222, 88
LR fn, tp: 4, 7
LR f1 score: 0.132
LR cohens kappa score: 0.075
LR average precision score: 0.214

-> test with 'RF'
RF tn, fp: 308, 2
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.011

-> test with 'GB'
GB tn, fp: 296, 14
GB fn, tp: 9, 2
GB f1 score: 0.148
GB cohens kappa score: 0.112

-> test with 'KNN'
KNN tn, fp: 234, 76
KNN fn, tp: 8, 3
KNN f1 score: 0.067
KNN cohens kappa score: 0.007


------ Step 5/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 20s - loss: 0.5978
 42/124 [=========>....................] - ETA: 0s - loss: 0.6213 
 86/124 [===================>..........] - ETA: 0s - loss: 0.5662
124/124 [==============================] - 0s 1ms/step - loss: 0.5610
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5052
 45/124 [=========>....................] - ETA: 0s - loss: 0.5046
 88/124 [====================>.........] - ETA: 0s - loss: 0.5070
124/124 [==============================] - 0s 1ms/step - loss: 0.5098
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4429
 44/124 [=========>....................] - ETA: 0s - loss: 0.5066
 84/124 [===================>..........] - ETA: 0s - loss: 0.4865
124/124 [==============================] - 0s 1ms/step - loss: 0.4909
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3312
 45/124 [=========>....................] - ETA: 0s - loss: 0.4832
 88/124 [====================>.........] - ETA: 0s - loss: 0.4726
124/124 [==============================] - 0s 1ms/step - loss: 0.4738
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5877
 46/124 [==========>...................] - ETA: 0s - loss: 0.4735
 89/124 [====================>.........] - ETA: 0s - loss: 0.4565
124/124 [==============================] - 0s 1ms/step - loss: 0.4577
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4891
 43/124 [=========>....................] - ETA: 0s - loss: 0.4591
 87/124 [====================>.........] - ETA: 0s - loss: 0.4429
124/124 [==============================] - 0s 1ms/step - loss: 0.4468
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.6221
 42/124 [=========>....................] - ETA: 0s - loss: 0.4592
 84/124 [===================>..........] - ETA: 0s - loss: 0.4520
124/124 [==============================] - 0s 1ms/step - loss: 0.4506
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.6361
 41/124 [========>.....................] - ETA: 0s - loss: 0.4528
 85/124 [===================>..........] - ETA: 0s - loss: 0.4379
124/124 [==============================] - 0s 1ms/step - loss: 0.4316
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4943
 46/124 [==========>...................] - ETA: 0s - loss: 0.4327
 90/124 [====================>.........] - ETA: 0s - loss: 0.4186
124/124 [==============================] - 0s 1ms/step - loss: 0.4234
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3880
 42/124 [=========>....................] - ETA: 0s - loss: 0.4243
 84/124 [===================>..........] - ETA: 0s - loss: 0.4222
124/124 [==============================] - 0s 1ms/step - loss: 0.4137
-> test with GAN.predict
GAN tn, fp: 282, 24
GAN fn, tp: 6, 3
GAN f1 score: 0.167
GAN cohens kappa score: 0.129

-> test with 'LR'
LR tn, fp: 233, 73
LR fn, tp: 3, 6
LR f1 score: 0.136
LR cohens kappa score: 0.090
LR average precision score: 0.152

-> test with 'RF'
RF tn, fp: 303, 3
RF fn, tp: 8, 1
RF f1 score: 0.154
RF cohens kappa score: 0.139

-> test with 'GB'
GB tn, fp: 288, 18
GB fn, tp: 7, 2
GB f1 score: 0.138
GB cohens kappa score: 0.103

-> test with 'KNN'
KNN tn, fp: 235, 71
KNN fn, tp: 6, 3
KNN f1 score: 0.072
KNN cohens kappa score: 0.022

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 233, 119
LR fn, tp: 6, 11
LR f1 score: 0.169
LR cohens kappa score: 0.114
LR average precision score: 0.337


average:
LR tn, fp: 216.4, 92.8
LR fn, tp: 3.56, 7.04
LR f1 score: 0.126
LR cohens kappa score: 0.071
LR average precision score: 0.161


minimum:
LR tn, fp: 191, 73
LR fn, tp: 0, 3
LR f1 score: 0.063
LR cohens kappa score: 0.012
LR average precision score: 0.035


-----[ RF ]-----
maximum:
RF tn, fp: 310, 13
RF fn, tp: 11, 2
RF f1 score: 0.250
RF cohens kappa score: 0.234


average:
RF tn, fp: 305.28, 3.92
RF fn, tp: 10.08, 0.52
RF f1 score: 0.067
RF cohens kappa score: 0.050


minimum:
RF tn, fp: 293, 0
RF fn, tp: 8, 0
RF f1 score: 0.000
RF cohens kappa score: -0.032


-----[ GB ]-----
maximum:
GB tn, fp: 301, 35
GB fn, tp: 10, 4
GB f1 score: 0.250
GB cohens kappa score: 0.221


average:
GB tn, fp: 290.96, 18.24
GB fn, tp: 8.48, 2.12
GB f1 score: 0.133
GB cohens kappa score: 0.095


minimum:
GB tn, fp: 275, 8
GB fn, tp: 7, 0
GB f1 score: 0.000
GB cohens kappa score: -0.028


-----[ KNN ]-----
maximum:
KNN tn, fp: 257, 113
KNN fn, tp: 10, 6
KNN f1 score: 0.118
KNN cohens kappa score: 0.064


average:
KNN tn, fp: 228.56, 80.64
KNN fn, tp: 7.12, 3.48
KNN f1 score: 0.074
KNN cohens kappa score: 0.016


minimum:
KNN tn, fp: 197, 53
KNN fn, tp: 5, 1
KNN f1 score: 0.022
KNN cohens kappa score: -0.041


-----[ GAN ]-----
maximum:
GAN tn, fp: 282, 146
GAN fn, tp: 10, 7
GAN f1 score: 0.217
GAN cohens kappa score: 0.174


average:
GAN tn, fp: 248.0, 61.2
GAN fn, tp: 6.56, 4.04
GAN f1 score: 0.115
GAN cohens kappa score: 0.063


minimum:
GAN tn, fp: 164, 24
GAN fn, tp: 4, 0
GAN f1 score: 0.000
GAN cohens kappa score: -0.052