///////////////////////////////////////////
// Running convGAN-proximary-5 on folding_yeast4
///////////////////////////////////////////

Load 'data_input/folding_yeast4'
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 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 17s - loss: 0.5486
 42/115 [=========>....................] - ETA: 0s - loss: 0.4037 
 78/115 [===================>..........] - ETA: 0s - loss: 0.3624
115/115 [==============================] - 0s 1ms/step - loss: 0.3476
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2456
 37/115 [========>.....................] - ETA: 0s - loss: 0.2904
 78/115 [===================>..........] - ETA: 0s - loss: 0.2896
115/115 [==============================] - 0s 1ms/step - loss: 0.2902
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3243
 41/115 [=========>....................] - ETA: 0s - loss: 0.2819
 81/115 [====================>.........] - ETA: 0s - loss: 0.2765
115/115 [==============================] - 0s 1ms/step - loss: 0.2749
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.4266
 42/115 [=========>....................] - ETA: 0s - loss: 0.2605
 81/115 [====================>.........] - ETA: 0s - loss: 0.2583
115/115 [==============================] - 0s 1ms/step - loss: 0.2592
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3021
 40/115 [=========>....................] - ETA: 0s - loss: 0.2487
 80/115 [===================>..........] - ETA: 0s - loss: 0.2572
115/115 [==============================] - 0s 1ms/step - loss: 0.2521
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1712
 41/115 [=========>....................] - ETA: 0s - loss: 0.2443
 82/115 [====================>.........] - ETA: 0s - loss: 0.2415
115/115 [==============================] - 0s 1ms/step - loss: 0.2474
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3526
 40/115 [=========>....................] - ETA: 0s - loss: 0.2421
 80/115 [===================>..........] - ETA: 0s - loss: 0.2446
115/115 [==============================] - 0s 1ms/step - loss: 0.2399
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2118
 40/115 [=========>....................] - ETA: 0s - loss: 0.2324
 79/115 [===================>..........] - ETA: 0s - loss: 0.2382
115/115 [==============================] - 0s 1ms/step - loss: 0.2385
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2399
 31/115 [=======>......................] - ETA: 0s - loss: 0.2272
 64/115 [===============>..............] - ETA: 0s - loss: 0.2277
 96/115 [========================>.....] - ETA: 0s - loss: 0.2295
115/115 [==============================] - 0s 2ms/step - loss: 0.2296
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1702
 37/115 [========>.....................] - ETA: 0s - loss: 0.2077
 77/115 [===================>..........] - ETA: 0s - loss: 0.2280
113/115 [============================>.] - ETA: 0s - loss: 0.2260
115/115 [==============================] - 0s 1ms/step - loss: 0.2257
-> test with GAN.predict
GAN tn, fp: 255, 32
GAN fn, tp: 3, 8
GAN f1 score: 0.314
GAN cohens kappa score: 0.272

-> test with 'LR'
LR tn, fp: 235, 52
LR fn, tp: 2, 9
LR f1 score: 0.250
LR cohens kappa score: 0.200
LR average precision score: 0.399

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 10, 1
RF f1 score: 0.154
RF cohens kappa score: 0.144

-> test with 'GB'
GB tn, fp: 283, 4
GB fn, tp: 9, 2
GB f1 score: 0.235
GB cohens kappa score: 0.215

-> test with 'KNN'
KNN tn, fp: 259, 28
KNN fn, tp: 3, 8
KNN f1 score: 0.340
KNN cohens kappa score: 0.301


------ Step 1/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 17s - loss: 0.7577
 41/115 [=========>....................] - ETA: 0s - loss: 0.5774 
 76/115 [==================>...........] - ETA: 0s - loss: 0.5360
113/115 [============================>.] - ETA: 0s - loss: 0.5026
115/115 [==============================] - 0s 1ms/step - loss: 0.5035
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.5483
 42/115 [=========>....................] - ETA: 0s - loss: 0.4017
 81/115 [====================>.........] - ETA: 0s - loss: 0.3996
115/115 [==============================] - 0s 1ms/step - loss: 0.4051
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4058
 41/115 [=========>....................] - ETA: 0s - loss: 0.4074
 81/115 [====================>.........] - ETA: 0s - loss: 0.3827
115/115 [==============================] - 0s 1ms/step - loss: 0.3715
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.5310
 40/115 [=========>....................] - ETA: 0s - loss: 0.3746
 79/115 [===================>..........] - ETA: 0s - loss: 0.3524
115/115 [==============================] - 0s 1ms/step - loss: 0.3544
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.4461
 40/115 [=========>....................] - ETA: 0s - loss: 0.3352
 81/115 [====================>.........] - ETA: 0s - loss: 0.3404
115/115 [==============================] - 0s 1ms/step - loss: 0.3404
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3779
 40/115 [=========>....................] - ETA: 0s - loss: 0.3175
 80/115 [===================>..........] - ETA: 0s - loss: 0.3349
115/115 [==============================] - 0s 1ms/step - loss: 0.3332
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3531
 41/115 [=========>....................] - ETA: 0s - loss: 0.3255
 81/115 [====================>.........] - ETA: 0s - loss: 0.3285
115/115 [==============================] - 0s 1ms/step - loss: 0.3236
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2937
 41/115 [=========>....................] - ETA: 0s - loss: 0.2994
 80/115 [===================>..........] - ETA: 0s - loss: 0.3045
115/115 [==============================] - 0s 1ms/step - loss: 0.3156
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.3593
 41/115 [=========>....................] - ETA: 0s - loss: 0.3146
 82/115 [====================>.........] - ETA: 0s - loss: 0.3035
115/115 [==============================] - 0s 1ms/step - loss: 0.3093
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2888
 41/115 [=========>....................] - ETA: 0s - loss: 0.3138
 78/115 [===================>..........] - ETA: 0s - loss: 0.3006
112/115 [============================>.] - ETA: 0s - loss: 0.3030
115/115 [==============================] - 0s 1ms/step - loss: 0.3020
-> test with GAN.predict
GAN tn, fp: 237, 50
GAN fn, tp: 1, 10
GAN f1 score: 0.282
GAN cohens kappa score: 0.234

-> test with 'LR'
LR tn, fp: 225, 62
LR fn, tp: 1, 10
LR f1 score: 0.241
LR cohens kappa score: 0.189
LR average precision score: 0.608

-> test with 'RF'
RF tn, fp: 287, 0
RF fn, tp: 9, 2
RF f1 score: 0.308
RF cohens kappa score: 0.300

-> test with 'GB'
GB tn, fp: 284, 3
GB fn, tp: 7, 4
GB f1 score: 0.444
GB cohens kappa score: 0.428

-> test with 'KNN'
KNN tn, fp: 255, 32
KNN fn, tp: 2, 9
KNN f1 score: 0.346
KNN cohens kappa score: 0.306


------ Step 1/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 26s - loss: 0.5655
 34/115 [=======>......................] - ETA: 0s - loss: 0.5230 
 69/115 [=================>............] - ETA: 0s - loss: 0.4638
103/115 [=========================>....] - ETA: 0s - loss: 0.4316
115/115 [==============================] - 0s 1ms/step - loss: 0.4280
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3071
 34/115 [=======>......................] - ETA: 0s - loss: 0.3492
 66/115 [================>.............] - ETA: 0s - loss: 0.3517
 99/115 [========================>.....] - ETA: 0s - loss: 0.3479
115/115 [==============================] - 0s 2ms/step - loss: 0.3481
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2745
 34/115 [=======>......................] - ETA: 0s - loss: 0.3398
 65/115 [===============>..............] - ETA: 0s - loss: 0.3336
 98/115 [========================>.....] - ETA: 0s - loss: 0.3267
115/115 [==============================] - 0s 2ms/step - loss: 0.3244
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1614
 34/115 [=======>......................] - ETA: 0s - loss: 0.3120
 65/115 [===============>..............] - ETA: 0s - loss: 0.3061
 97/115 [========================>.....] - ETA: 0s - loss: 0.3013
115/115 [==============================] - 0s 2ms/step - loss: 0.3057
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3113
 33/115 [=======>......................] - ETA: 0s - loss: 0.3031
 64/115 [===============>..............] - ETA: 0s - loss: 0.3032
 94/115 [=======================>......] - ETA: 0s - loss: 0.3040
115/115 [==============================] - 0s 2ms/step - loss: 0.2960
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2591
 30/115 [======>.......................] - ETA: 0s - loss: 0.2967
 61/115 [==============>...............] - ETA: 0s - loss: 0.2901
 99/115 [========================>.....] - ETA: 0s - loss: 0.2860
115/115 [==============================] - 0s 2ms/step - loss: 0.2885
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2482
 35/115 [========>.....................] - ETA: 0s - loss: 0.2790
 55/115 [=============>................] - ETA: 0s - loss: 0.2800
 89/115 [======================>.......] - ETA: 0s - loss: 0.2723
115/115 [==============================] - 0s 2ms/step - loss: 0.2803
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2342
 33/115 [=======>......................] - ETA: 0s - loss: 0.2734
 64/115 [===============>..............] - ETA: 0s - loss: 0.2787
 93/115 [=======================>......] - ETA: 0s - loss: 0.2748
115/115 [==============================] - 0s 2ms/step - loss: 0.2733
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.3020
 33/115 [=======>......................] - ETA: 0s - loss: 0.2726
 65/115 [===============>..............] - ETA: 0s - loss: 0.2575
 98/115 [========================>.....] - ETA: 0s - loss: 0.2673
115/115 [==============================] - 0s 2ms/step - loss: 0.2699
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2060
 33/115 [=======>......................] - ETA: 0s - loss: 0.2657
 64/115 [===============>..............] - ETA: 0s - loss: 0.2656
 96/115 [========================>.....] - ETA: 0s - loss: 0.2626
115/115 [==============================] - 0s 2ms/step - loss: 0.2613
-> test with GAN.predict
GAN tn, fp: 258, 29
GAN fn, tp: 2, 9
GAN f1 score: 0.367
GAN cohens kappa score: 0.329

-> test with 'LR'
LR tn, fp: 236, 51
LR fn, tp: 1, 10
LR f1 score: 0.278
LR cohens kappa score: 0.230
LR average precision score: 0.262

-> test with 'RF'
RF tn, fp: 287, 0
RF fn, tp: 9, 2
RF f1 score: 0.308
RF cohens kappa score: 0.300

-> test with 'GB'
GB tn, fp: 286, 1
GB fn, tp: 10, 1
GB f1 score: 0.154
GB cohens kappa score: 0.144

-> test with 'KNN'
KNN tn, fp: 255, 32
KNN fn, tp: 2, 9
KNN f1 score: 0.346
KNN cohens kappa score: 0.306


------ Step 1/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 22s - loss: 0.4092
 35/115 [========>.....................] - ETA: 0s - loss: 0.3749 
 67/115 [================>.............] - ETA: 0s - loss: 0.3486
100/115 [=========================>....] - ETA: 0s - loss: 0.3236
115/115 [==============================] - 0s 2ms/step - loss: 0.3167
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2756
 37/115 [========>.....................] - ETA: 0s - loss: 0.2642
 71/115 [=================>............] - ETA: 0s - loss: 0.2687
102/115 [=========================>....] - ETA: 0s - loss: 0.2610
115/115 [==============================] - 0s 2ms/step - loss: 0.2594
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1819
 34/115 [=======>......................] - ETA: 0s - loss: 0.2365
 65/115 [===============>..............] - ETA: 0s - loss: 0.2350
 98/115 [========================>.....] - ETA: 0s - loss: 0.2390
115/115 [==============================] - 0s 2ms/step - loss: 0.2364
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2508
 34/115 [=======>......................] - ETA: 0s - loss: 0.2328
 64/115 [===============>..............] - ETA: 0s - loss: 0.2351
 95/115 [=======================>......] - ETA: 0s - loss: 0.2361
115/115 [==============================] - 0s 2ms/step - loss: 0.2259
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3134
 30/115 [======>.......................] - ETA: 0s - loss: 0.1915
 60/115 [==============>...............] - ETA: 0s - loss: 0.2260
 91/115 [======================>.......] - ETA: 0s - loss: 0.2160
115/115 [==============================] - 0s 2ms/step - loss: 0.2164
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2358
 34/115 [=======>......................] - ETA: 0s - loss: 0.1969
 63/115 [===============>..............] - ETA: 0s - loss: 0.2045
 93/115 [=======================>......] - ETA: 0s - loss: 0.2168
115/115 [==============================] - 0s 2ms/step - loss: 0.2120
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1470
 32/115 [=======>......................] - ETA: 0s - loss: 0.1920
 64/115 [===============>..............] - ETA: 0s - loss: 0.2074
 97/115 [========================>.....] - ETA: 0s - loss: 0.2076
115/115 [==============================] - 0s 2ms/step - loss: 0.2068
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2337
 32/115 [=======>......................] - ETA: 0s - loss: 0.2119
 67/115 [================>.............] - ETA: 0s - loss: 0.1985
 99/115 [========================>.....] - ETA: 0s - loss: 0.2018
115/115 [==============================] - 0s 2ms/step - loss: 0.2024
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2581
 34/115 [=======>......................] - ETA: 0s - loss: 0.1962
 67/115 [================>.............] - ETA: 0s - loss: 0.2001
 98/115 [========================>.....] - ETA: 0s - loss: 0.1966
115/115 [==============================] - 0s 2ms/step - loss: 0.1983
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1022
 35/115 [========>.....................] - ETA: 0s - loss: 0.2147
 66/115 [================>.............] - ETA: 0s - loss: 0.1989
 99/115 [========================>.....] - ETA: 0s - loss: 0.1962
115/115 [==============================] - 0s 2ms/step - loss: 0.1956
-> test with GAN.predict
GAN tn, fp: 265, 22
GAN fn, tp: 7, 4
GAN f1 score: 0.216
GAN cohens kappa score: 0.173

-> test with 'LR'
LR tn, fp: 251, 36
LR fn, tp: 6, 5
LR f1 score: 0.192
LR cohens kappa score: 0.142
LR average precision score: 0.189

-> test with 'RF'
RF tn, fp: 284, 3
RF fn, tp: 8, 3
RF f1 score: 0.353
RF cohens kappa score: 0.336

-> test with 'GB'
GB tn, fp: 281, 6
GB fn, tp: 8, 3
GB f1 score: 0.300
GB cohens kappa score: 0.276

-> test with 'KNN'
KNN tn, fp: 250, 37
KNN fn, tp: 4, 7
KNN f1 score: 0.255
KNN cohens kappa score: 0.208


------ Step 1/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1104 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 23s - loss: 0.5227
 33/115 [=======>......................] - ETA: 0s - loss: 0.5078 
 63/115 [===============>..............] - ETA: 0s - loss: 0.4440
 95/115 [=======================>......] - ETA: 0s - loss: 0.4185
115/115 [==============================] - 0s 2ms/step - loss: 0.4053
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2566
 36/115 [========>.....................] - ETA: 0s - loss: 0.3494
 70/115 [=================>............] - ETA: 0s - loss: 0.3485
105/115 [==========================>...] - ETA: 0s - loss: 0.3338
115/115 [==============================] - 0s 1ms/step - loss: 0.3302
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3250
 37/115 [========>.....................] - ETA: 0s - loss: 0.3030
 69/115 [=================>............] - ETA: 0s - loss: 0.3015
 98/115 [========================>.....] - ETA: 0s - loss: 0.2991
115/115 [==============================] - 0s 2ms/step - loss: 0.2997
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2731
 36/115 [========>.....................] - ETA: 0s - loss: 0.2936
 69/115 [=================>............] - ETA: 0s - loss: 0.2948
102/115 [=========================>....] - ETA: 0s - loss: 0.2848
115/115 [==============================] - 0s 1ms/step - loss: 0.2823
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2177
 34/115 [=======>......................] - ETA: 0s - loss: 0.2940
 67/115 [================>.............] - ETA: 0s - loss: 0.2811
101/115 [=========================>....] - ETA: 0s - loss: 0.2737
115/115 [==============================] - 0s 2ms/step - loss: 0.2744
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2947
 34/115 [=======>......................] - ETA: 0s - loss: 0.2572
 66/115 [================>.............] - ETA: 0s - loss: 0.2506
101/115 [=========================>....] - ETA: 0s - loss: 0.2684
115/115 [==============================] - 0s 1ms/step - loss: 0.2641
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3746
 36/115 [========>.....................] - ETA: 0s - loss: 0.2608
 68/115 [================>.............] - ETA: 0s - loss: 0.2471
103/115 [=========================>....] - ETA: 0s - loss: 0.2593
115/115 [==============================] - 0s 1ms/step - loss: 0.2598
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0898
 35/115 [========>.....................] - ETA: 0s - loss: 0.2573
 68/115 [================>.............] - ETA: 0s - loss: 0.2600
101/115 [=========================>....] - ETA: 0s - loss: 0.2539
115/115 [==============================] - 0s 2ms/step - loss: 0.2526
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2013
 33/115 [=======>......................] - ETA: 0s - loss: 0.2621
 65/115 [===============>..............] - ETA: 0s - loss: 0.2491
 95/115 [=======================>......] - ETA: 0s - loss: 0.2514
115/115 [==============================] - 0s 2ms/step - loss: 0.2474
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2152
 33/115 [=======>......................] - ETA: 0s - loss: 0.2245
 67/115 [================>.............] - ETA: 0s - loss: 0.2362
100/115 [=========================>....] - ETA: 0s - loss: 0.2427
115/115 [==============================] - 0s 2ms/step - loss: 0.2429
-> test with GAN.predict
GAN tn, fp: 246, 39
GAN fn, tp: 1, 6
GAN f1 score: 0.231
GAN cohens kappa score: 0.197

-> test with 'LR'
LR tn, fp: 238, 47
LR fn, tp: 1, 6
LR f1 score: 0.200
LR cohens kappa score: 0.165
LR average precision score: 0.417

-> test with 'RF'
RF tn, fp: 285, 0
RF fn, tp: 5, 2
RF f1 score: 0.444
RF cohens kappa score: 0.438

-> test with 'GB'
GB tn, fp: 284, 1
GB fn, tp: 6, 1
GB f1 score: 0.222
GB cohens kappa score: 0.214

-> test with 'KNN'
KNN tn, fp: 258, 27
KNN fn, tp: 1, 6
KNN f1 score: 0.300
KNN cohens kappa score: 0.271


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

------ Step 2/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 20s - loss: 0.5584
 41/115 [=========>....................] - ETA: 0s - loss: 0.4887 
 79/115 [===================>..........] - ETA: 0s - loss: 0.4267
115/115 [==============================] - 0s 1ms/step - loss: 0.4022
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.4093
 38/115 [========>.....................] - ETA: 0s - loss: 0.3226
 68/115 [================>.............] - ETA: 0s - loss: 0.3220
 99/115 [========================>.....] - ETA: 0s - loss: 0.3305
115/115 [==============================] - 0s 2ms/step - loss: 0.3307
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1781
 36/115 [========>.....................] - ETA: 0s - loss: 0.3107
 75/115 [==================>...........] - ETA: 0s - loss: 0.3079
113/115 [============================>.] - ETA: 0s - loss: 0.3048
115/115 [==============================] - 0s 1ms/step - loss: 0.3042
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2087
 39/115 [=========>....................] - ETA: 0s - loss: 0.3068
 76/115 [==================>...........] - ETA: 0s - loss: 0.2976
114/115 [============================>.] - ETA: 0s - loss: 0.2931
115/115 [==============================] - 0s 1ms/step - loss: 0.2926
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3421
 37/115 [========>.....................] - ETA: 0s - loss: 0.2854
 74/115 [==================>...........] - ETA: 0s - loss: 0.2836
113/115 [============================>.] - ETA: 0s - loss: 0.2811
115/115 [==============================] - 0s 1ms/step - loss: 0.2820
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1087
 39/115 [=========>....................] - ETA: 0s - loss: 0.2893
 79/115 [===================>..........] - ETA: 0s - loss: 0.2684
115/115 [==============================] - 0s 1ms/step - loss: 0.2783
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2272
 39/115 [=========>....................] - ETA: 0s - loss: 0.2856
 75/115 [==================>...........] - ETA: 0s - loss: 0.2822
114/115 [============================>.] - ETA: 0s - loss: 0.2740
115/115 [==============================] - 0s 1ms/step - loss: 0.2734
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2637
 37/115 [========>.....................] - ETA: 0s - loss: 0.2707
 77/115 [===================>..........] - ETA: 0s - loss: 0.2676
115/115 [==============================] - 0s 1ms/step - loss: 0.2658
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1783
 37/115 [========>.....................] - ETA: 0s - loss: 0.2628
 75/115 [==================>...........] - ETA: 0s - loss: 0.2711
114/115 [============================>.] - ETA: 0s - loss: 0.2646
115/115 [==============================] - 0s 1ms/step - loss: 0.2651
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1576
 39/115 [=========>....................] - ETA: 0s - loss: 0.2512
 78/115 [===================>..........] - ETA: 0s - loss: 0.2665
115/115 [==============================] - 0s 1ms/step - loss: 0.2575
-> test with GAN.predict
GAN tn, fp: 258, 29
GAN fn, tp: 1, 10
GAN f1 score: 0.400
GAN cohens kappa score: 0.363

-> test with 'LR'
LR tn, fp: 248, 39
LR fn, tp: 2, 9
LR f1 score: 0.305
LR cohens kappa score: 0.261
LR average precision score: 0.320

-> test with 'RF'
RF tn, fp: 287, 0
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: 0.000

-> test with 'GB'
GB tn, fp: 283, 4
GB fn, tp: 9, 2
GB f1 score: 0.235
GB cohens kappa score: 0.215

-> test with 'KNN'
KNN tn, fp: 259, 28
KNN fn, tp: 2, 9
KNN f1 score: 0.375
KNN cohens kappa score: 0.337


------ Step 2/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 19s - loss: 0.6595
 34/115 [=======>......................] - ETA: 0s - loss: 0.4563 
 66/115 [================>.............] - ETA: 0s - loss: 0.4361
 99/115 [========================>.....] - ETA: 0s - loss: 0.4130
115/115 [==============================] - 0s 2ms/step - loss: 0.4012
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2118
 36/115 [========>.....................] - ETA: 0s - loss: 0.3727
 69/115 [=================>............] - ETA: 0s - loss: 0.3644
103/115 [=========================>....] - ETA: 0s - loss: 0.3442
115/115 [==============================] - 0s 1ms/step - loss: 0.3388
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4776
 39/115 [=========>....................] - ETA: 0s - loss: 0.3305
 75/115 [==================>...........] - ETA: 0s - loss: 0.3248
111/115 [===========================>..] - ETA: 0s - loss: 0.3188
115/115 [==============================] - 0s 1ms/step - loss: 0.3204
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2603
 39/115 [=========>....................] - ETA: 0s - loss: 0.3243
 75/115 [==================>...........] - ETA: 0s - loss: 0.3140
115/115 [==============================] - ETA: 0s - loss: 0.3073
115/115 [==============================] - 0s 1ms/step - loss: 0.3073
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3837
 39/115 [=========>....................] - ETA: 0s - loss: 0.3118
 74/115 [==================>...........] - ETA: 0s - loss: 0.3068
110/115 [===========================>..] - ETA: 0s - loss: 0.2991
115/115 [==============================] - 0s 1ms/step - loss: 0.2984
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3899
 37/115 [========>.....................] - ETA: 0s - loss: 0.2837
 74/115 [==================>...........] - ETA: 0s - loss: 0.2998
105/115 [==========================>...] - ETA: 0s - loss: 0.2901
115/115 [==============================] - 0s 1ms/step - loss: 0.2910
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2616
 31/115 [=======>......................] - ETA: 0s - loss: 0.2757
 62/115 [===============>..............] - ETA: 0s - loss: 0.2707
 96/115 [========================>.....] - ETA: 0s - loss: 0.2817
115/115 [==============================] - 0s 2ms/step - loss: 0.2817
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2645
 35/115 [========>.....................] - ETA: 0s - loss: 0.2903
 69/115 [=================>............] - ETA: 0s - loss: 0.2762
105/115 [==========================>...] - ETA: 0s - loss: 0.2762
115/115 [==============================] - 0s 1ms/step - loss: 0.2772
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2503
 40/115 [=========>....................] - ETA: 0s - loss: 0.2466
 74/115 [==================>...........] - ETA: 0s - loss: 0.2781
109/115 [===========================>..] - ETA: 0s - loss: 0.2700
115/115 [==============================] - 0s 1ms/step - loss: 0.2701
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2736
 37/115 [========>.....................] - ETA: 0s - loss: 0.2453
 71/115 [=================>............] - ETA: 0s - loss: 0.2607
104/115 [==========================>...] - ETA: 0s - loss: 0.2615
115/115 [==============================] - 0s 2ms/step - loss: 0.2681
-> test with GAN.predict
GAN tn, fp: 255, 32
GAN fn, tp: 2, 9
GAN f1 score: 0.346
GAN cohens kappa score: 0.306

-> test with 'LR'
LR tn, fp: 239, 48
LR fn, tp: 2, 9
LR f1 score: 0.265
LR cohens kappa score: 0.216
LR average precision score: 0.450

-> test with 'RF'
RF tn, fp: 287, 0
RF fn, tp: 8, 3
RF f1 score: 0.429
RF cohens kappa score: 0.419

-> test with 'GB'
GB tn, fp: 283, 4
GB fn, tp: 6, 5
GB f1 score: 0.500
GB cohens kappa score: 0.483

-> test with 'KNN'
KNN tn, fp: 241, 46
KNN fn, tp: 2, 9
KNN f1 score: 0.273
KNN cohens kappa score: 0.225


------ Step 2/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 18s - loss: 0.3840
 42/115 [=========>....................] - ETA: 0s - loss: 0.3938 
 79/115 [===================>..........] - ETA: 0s - loss: 0.3622
115/115 [==============================] - 0s 1ms/step - loss: 0.3314
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3393
 40/115 [=========>....................] - ETA: 0s - loss: 0.2973
 77/115 [===================>..........] - ETA: 0s - loss: 0.2820
110/115 [===========================>..] - ETA: 0s - loss: 0.2672
115/115 [==============================] - 0s 1ms/step - loss: 0.2638
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3151
 34/115 [=======>......................] - ETA: 0s - loss: 0.2930
 68/115 [================>.............] - ETA: 0s - loss: 0.2543
100/115 [=========================>....] - ETA: 0s - loss: 0.2541
115/115 [==============================] - 0s 2ms/step - loss: 0.2506
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1988
 36/115 [========>.....................] - ETA: 0s - loss: 0.2384
 74/115 [==================>...........] - ETA: 0s - loss: 0.2512
111/115 [===========================>..] - ETA: 0s - loss: 0.2374
115/115 [==============================] - 0s 1ms/step - loss: 0.2418
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1679
 38/115 [========>.....................] - ETA: 0s - loss: 0.2471
 76/115 [==================>...........] - ETA: 0s - loss: 0.2400
112/115 [============================>.] - ETA: 0s - loss: 0.2366
115/115 [==============================] - 0s 1ms/step - loss: 0.2394
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2784
 39/115 [=========>....................] - ETA: 0s - loss: 0.2250
 76/115 [==================>...........] - ETA: 0s - loss: 0.2358
115/115 [==============================] - ETA: 0s - loss: 0.2318
115/115 [==============================] - 0s 1ms/step - loss: 0.2318
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2681
 39/115 [=========>....................] - ETA: 0s - loss: 0.2304
 77/115 [===================>..........] - ETA: 0s - loss: 0.2327
115/115 [==============================] - 0s 1ms/step - loss: 0.2299
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1861
 38/115 [========>.....................] - ETA: 0s - loss: 0.2075
 75/115 [==================>...........] - ETA: 0s - loss: 0.2215
109/115 [===========================>..] - ETA: 0s - loss: 0.2259
115/115 [==============================] - 0s 1ms/step - loss: 0.2242
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.3663
 39/115 [=========>....................] - ETA: 0s - loss: 0.2161
 77/115 [===================>..........] - ETA: 0s - loss: 0.2163
115/115 [==============================] - 0s 1ms/step - loss: 0.2271
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2240
 38/115 [========>.....................] - ETA: 0s - loss: 0.2146
 76/115 [==================>...........] - ETA: 0s - loss: 0.2045
115/115 [==============================] - 0s 1ms/step - loss: 0.2160
-> test with GAN.predict
GAN tn, fp: 268, 19
GAN fn, tp: 6, 5
GAN f1 score: 0.286
GAN cohens kappa score: 0.248

-> test with 'LR'
LR tn, fp: 248, 39
LR fn, tp: 4, 7
LR f1 score: 0.246
LR cohens kappa score: 0.198
LR average precision score: 0.386

-> test with 'RF'
RF tn, fp: 285, 2
RF fn, tp: 9, 2
RF f1 score: 0.267
RF cohens kappa score: 0.252

-> test with 'GB'
GB tn, fp: 285, 2
GB fn, tp: 8, 3
GB f1 score: 0.375
GB cohens kappa score: 0.360

-> test with 'KNN'
KNN tn, fp: 252, 35
KNN fn, tp: 2, 9
KNN f1 score: 0.327
KNN cohens kappa score: 0.285


------ Step 2/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 18s - loss: 0.2887
 40/115 [=========>....................] - ETA: 0s - loss: 0.3974 
 78/115 [===================>..........] - ETA: 0s - loss: 0.3600
115/115 [==============================] - 0s 1ms/step - loss: 0.3364
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1997
 41/115 [=========>....................] - ETA: 0s - loss: 0.2639
 81/115 [====================>.........] - ETA: 0s - loss: 0.2676
115/115 [==============================] - 0s 1ms/step - loss: 0.2609
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3477
 40/115 [=========>....................] - ETA: 0s - loss: 0.2407
 80/115 [===================>..........] - ETA: 0s - loss: 0.2402
115/115 [==============================] - 0s 1ms/step - loss: 0.2448
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.0985
 40/115 [=========>....................] - ETA: 0s - loss: 0.2331
 79/115 [===================>..........] - ETA: 0s - loss: 0.2378
115/115 [==============================] - 0s 1ms/step - loss: 0.2354
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3576
 40/115 [=========>....................] - ETA: 0s - loss: 0.2127
 79/115 [===================>..........] - ETA: 0s - loss: 0.2352
115/115 [==============================] - 0s 1ms/step - loss: 0.2358
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1113
 40/115 [=========>....................] - ETA: 0s - loss: 0.2222
 79/115 [===================>..........] - ETA: 0s - loss: 0.2267
115/115 [==============================] - 0s 1ms/step - loss: 0.2258
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1913
 40/115 [=========>....................] - ETA: 0s - loss: 0.2314
 81/115 [====================>.........] - ETA: 0s - loss: 0.2205
115/115 [==============================] - 0s 1ms/step - loss: 0.2230
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.3152
 41/115 [=========>....................] - ETA: 0s - loss: 0.2100
 81/115 [====================>.........] - ETA: 0s - loss: 0.2157
115/115 [==============================] - 0s 1ms/step - loss: 0.2173
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2104
 37/115 [========>.....................] - ETA: 0s - loss: 0.2151
 74/115 [==================>...........] - ETA: 0s - loss: 0.2206
113/115 [============================>.] - ETA: 0s - loss: 0.2178
115/115 [==============================] - 0s 1ms/step - loss: 0.2181
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1673
 40/115 [=========>....................] - ETA: 0s - loss: 0.1870
 79/115 [===================>..........] - ETA: 0s - loss: 0.2100
115/115 [==============================] - 0s 1ms/step - loss: 0.2096
-> test with GAN.predict
GAN tn, fp: 263, 24
GAN fn, tp: 3, 8
GAN f1 score: 0.372
GAN cohens kappa score: 0.336

-> test with 'LR'
LR tn, fp: 254, 33
LR fn, tp: 3, 8
LR f1 score: 0.308
LR cohens kappa score: 0.265
LR average precision score: 0.303

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.006

-> test with 'GB'
GB tn, fp: 285, 2
GB fn, tp: 9, 2
GB f1 score: 0.267
GB cohens kappa score: 0.252

-> test with 'KNN'
KNN tn, fp: 270, 17
KNN fn, tp: 3, 8
KNN f1 score: 0.444
KNN cohens kappa score: 0.414


------ Step 2/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1104 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 19s - loss: 0.5443
 41/115 [=========>....................] - ETA: 0s - loss: 0.3705 
 80/115 [===================>..........] - ETA: 0s - loss: 0.3502
115/115 [==============================] - 0s 1ms/step - loss: 0.3354
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3178
 40/115 [=========>....................] - ETA: 0s - loss: 0.2939
 74/115 [==================>...........] - ETA: 0s - loss: 0.2950
111/115 [===========================>..] - ETA: 0s - loss: 0.2902
115/115 [==============================] - 0s 1ms/step - loss: 0.2898
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2453
 42/115 [=========>....................] - ETA: 0s - loss: 0.2791
 81/115 [====================>.........] - ETA: 0s - loss: 0.2806
115/115 [==============================] - 0s 1ms/step - loss: 0.2766
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1369
 35/115 [========>.....................] - ETA: 0s - loss: 0.2756
 69/115 [=================>............] - ETA: 0s - loss: 0.2706
106/115 [==========================>...] - ETA: 0s - loss: 0.2666
115/115 [==============================] - 0s 1ms/step - loss: 0.2651
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3521
 41/115 [=========>....................] - ETA: 0s - loss: 0.2306
 82/115 [====================>.........] - ETA: 0s - loss: 0.2444
115/115 [==============================] - 0s 1ms/step - loss: 0.2585
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2220
 40/115 [=========>....................] - ETA: 0s - loss: 0.2671
 77/115 [===================>..........] - ETA: 0s - loss: 0.2584
113/115 [============================>.] - ETA: 0s - loss: 0.2524
115/115 [==============================] - 0s 1ms/step - loss: 0.2560
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3642
 41/115 [=========>....................] - ETA: 0s - loss: 0.2382
 81/115 [====================>.........] - ETA: 0s - loss: 0.2415
115/115 [==============================] - 0s 1ms/step - loss: 0.2464
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1459
 35/115 [========>.....................] - ETA: 0s - loss: 0.2316
 67/115 [================>.............] - ETA: 0s - loss: 0.2369
102/115 [=========================>....] - ETA: 0s - loss: 0.2418
115/115 [==============================] - 0s 2ms/step - loss: 0.2394
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.3494
 39/115 [=========>....................] - ETA: 0s - loss: 0.2228
 74/115 [==================>...........] - ETA: 0s - loss: 0.2409
111/115 [===========================>..] - ETA: 0s - loss: 0.2362
115/115 [==============================] - 0s 1ms/step - loss: 0.2369
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1885
 42/115 [=========>....................] - ETA: 0s - loss: 0.2628
 79/115 [===================>..........] - ETA: 0s - loss: 0.2381
115/115 [==============================] - 0s 1ms/step - loss: 0.2344
-> test with GAN.predict
GAN tn, fp: 258, 27
GAN fn, tp: 1, 6
GAN f1 score: 0.300
GAN cohens kappa score: 0.271

-> test with 'LR'
LR tn, fp: 232, 53
LR fn, tp: 1, 6
LR f1 score: 0.182
LR cohens kappa score: 0.145
LR average precision score: 0.431

-> test with 'RF'
RF tn, fp: 283, 2
RF fn, tp: 6, 1
RF f1 score: 0.200
RF cohens kappa score: 0.188

-> test with 'GB'
GB tn, fp: 284, 1
GB fn, tp: 6, 1
GB f1 score: 0.222
GB cohens kappa score: 0.214

-> test with 'KNN'
KNN tn, fp: 265, 20
KNN fn, tp: 2, 5
KNN f1 score: 0.312
KNN cohens kappa score: 0.286


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

------ Step 3/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 18s - loss: 0.6644
 41/115 [=========>....................] - ETA: 0s - loss: 0.4045 
 80/115 [===================>..........] - ETA: 0s - loss: 0.3540
115/115 [==============================] - 0s 1ms/step - loss: 0.3290
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3073
 40/115 [=========>....................] - ETA: 0s - loss: 0.2466
 79/115 [===================>..........] - ETA: 0s - loss: 0.2541
115/115 [==============================] - 0s 1ms/step - loss: 0.2560
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1056
 41/115 [=========>....................] - ETA: 0s - loss: 0.2463
 78/115 [===================>..........] - ETA: 0s - loss: 0.2402
115/115 [==============================] - ETA: 0s - loss: 0.2416
115/115 [==============================] - 0s 1ms/step - loss: 0.2416
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2039
 37/115 [========>.....................] - ETA: 0s - loss: 0.2320
 75/115 [==================>...........] - ETA: 0s - loss: 0.2306
112/115 [============================>.] - ETA: 0s - loss: 0.2356
115/115 [==============================] - 0s 1ms/step - loss: 0.2354
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2496
 38/115 [========>.....................] - ETA: 0s - loss: 0.2427
 74/115 [==================>...........] - ETA: 0s - loss: 0.2349
108/115 [===========================>..] - ETA: 0s - loss: 0.2314
115/115 [==============================] - 0s 1ms/step - loss: 0.2280
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1806
 40/115 [=========>....................] - ETA: 0s - loss: 0.2005
 79/115 [===================>..........] - ETA: 0s - loss: 0.2263
115/115 [==============================] - 0s 1ms/step - loss: 0.2235
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1016
 38/115 [========>.....................] - ETA: 0s - loss: 0.2241
 72/115 [=================>............] - ETA: 0s - loss: 0.2313
109/115 [===========================>..] - ETA: 0s - loss: 0.2228
115/115 [==============================] - 0s 1ms/step - loss: 0.2217
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.4334
 35/115 [========>.....................] - ETA: 0s - loss: 0.2500
 73/115 [==================>...........] - ETA: 0s - loss: 0.2245
112/115 [============================>.] - ETA: 0s - loss: 0.2172
115/115 [==============================] - 0s 1ms/step - loss: 0.2162
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0539
 39/115 [=========>....................] - ETA: 0s - loss: 0.2171
 79/115 [===================>..........] - ETA: 0s - loss: 0.2279
115/115 [==============================] - 0s 1ms/step - loss: 0.2142
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2042
 40/115 [=========>....................] - ETA: 0s - loss: 0.2157
 77/115 [===================>..........] - ETA: 0s - loss: 0.2048
112/115 [============================>.] - ETA: 0s - loss: 0.2116
115/115 [==============================] - 0s 1ms/step - loss: 0.2104
-> test with GAN.predict
GAN tn, fp: 266, 21
GAN fn, tp: 3, 8
GAN f1 score: 0.400
GAN cohens kappa score: 0.366

-> test with 'LR'
LR tn, fp: 253, 34
LR fn, tp: 3, 8
LR f1 score: 0.302
LR cohens kappa score: 0.259
LR average precision score: 0.390

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 9, 2
RF f1 score: 0.286
RF cohens kappa score: 0.274

-> test with 'GB'
GB tn, fp: 284, 3
GB fn, tp: 10, 1
GB f1 score: 0.133
GB cohens kappa score: 0.116

-> test with 'KNN'
KNN tn, fp: 267, 20
KNN fn, tp: 3, 8
KNN f1 score: 0.410
KNN cohens kappa score: 0.377


------ Step 3/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 31s - loss: 0.5829
 26/115 [=====>........................] - ETA: 0s - loss: 0.5153 
 54/115 [=============>................] - ETA: 0s - loss: 0.4774
 69/115 [=================>............] - ETA: 0s - loss: 0.4631
 83/115 [====================>.........] - ETA: 0s - loss: 0.4541
 96/115 [========================>.....] - ETA: 0s - loss: 0.4406
114/115 [============================>.] - ETA: 0s - loss: 0.4378
115/115 [==============================] - 1s 3ms/step - loss: 0.4368
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.4549
 27/115 [======>.......................] - ETA: 0s - loss: 0.3700
 51/115 [============>.................] - ETA: 0s - loss: 0.3895
 74/115 [==================>...........] - ETA: 0s - loss: 0.3725
 98/115 [========================>.....] - ETA: 0s - loss: 0.3653
115/115 [==============================] - 0s 2ms/step - loss: 0.3644
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3854
 11/115 [=>............................] - ETA: 0s - loss: 0.3237
 26/115 [=====>........................] - ETA: 0s - loss: 0.3499
 48/115 [===========>..................] - ETA: 0s - loss: 0.3517
 69/115 [=================>............] - ETA: 0s - loss: 0.3489
 89/115 [======================>.......] - ETA: 0s - loss: 0.3386
108/115 [===========================>..] - ETA: 0s - loss: 0.3388
115/115 [==============================] - 0s 3ms/step - loss: 0.3408
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.4911
 19/115 [===>..........................] - ETA: 0s - loss: 0.3325
 37/115 [========>.....................] - ETA: 0s - loss: 0.3388
 53/115 [============>.................] - ETA: 0s - loss: 0.3356
 71/115 [=================>............] - ETA: 0s - loss: 0.3384
 92/115 [=======================>......] - ETA: 0s - loss: 0.3344
110/115 [===========================>..] - ETA: 0s - loss: 0.3287
115/115 [==============================] - 0s 3ms/step - loss: 0.3295
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.4082
 26/115 [=====>........................] - ETA: 0s - loss: 0.2865
 48/115 [===========>..................] - ETA: 0s - loss: 0.3017
 66/115 [================>.............] - ETA: 0s - loss: 0.2981
 85/115 [=====================>........] - ETA: 0s - loss: 0.3040
111/115 [===========================>..] - ETA: 0s - loss: 0.3170
115/115 [==============================] - 0s 2ms/step - loss: 0.3172
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1483
 32/115 [=======>......................] - ETA: 0s - loss: 0.3117
 55/115 [=============>................] - ETA: 0s - loss: 0.2979
 76/115 [==================>...........] - ETA: 0s - loss: 0.3085
 99/115 [========================>.....] - ETA: 0s - loss: 0.3084
115/115 [==============================] - 0s 2ms/step - loss: 0.3072
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3463
 21/115 [====>.........................] - ETA: 0s - loss: 0.2948
 47/115 [===========>..................] - ETA: 0s - loss: 0.3014
 79/115 [===================>..........] - ETA: 0s - loss: 0.2933
106/115 [==========================>...] - ETA: 0s - loss: 0.2990
115/115 [==============================] - 0s 2ms/step - loss: 0.3018
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2520
 22/115 [====>.........................] - ETA: 0s - loss: 0.2835
 33/115 [=======>......................] - ETA: 0s - loss: 0.2871
 53/115 [============>.................] - ETA: 0s - loss: 0.2905
 72/115 [=================>............] - ETA: 0s - loss: 0.2967
 97/115 [========================>.....] - ETA: 0s - loss: 0.3008
115/115 [==============================] - 0s 3ms/step - loss: 0.2959
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.3436
 29/115 [======>.......................] - ETA: 0s - loss: 0.2928
 51/115 [============>.................] - ETA: 0s - loss: 0.3038
 73/115 [==================>...........] - ETA: 0s - loss: 0.2950
 96/115 [========================>.....] - ETA: 0s - loss: 0.2931
115/115 [==============================] - 0s 2ms/step - loss: 0.2887
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2906
 26/115 [=====>........................] - ETA: 0s - loss: 0.2832
 48/115 [===========>..................] - ETA: 0s - loss: 0.2843
 70/115 [=================>............] - ETA: 0s - loss: 0.2824
 95/115 [=======================>......] - ETA: 0s - loss: 0.2858
115/115 [==============================] - 0s 2ms/step - loss: 0.2837
-> test with GAN.predict
GAN tn, fp: 251, 36
GAN fn, tp: 2, 9
GAN f1 score: 0.321
GAN cohens kappa score: 0.279

-> test with 'LR'
LR tn, fp: 241, 46
LR fn, tp: 2, 9
LR f1 score: 0.273
LR cohens kappa score: 0.225
LR average precision score: 0.399

-> test with 'RF'
RF tn, fp: 287, 0
RF fn, tp: 9, 2
RF f1 score: 0.308
RF cohens kappa score: 0.300

-> test with 'GB'
GB tn, fp: 285, 2
GB fn, tp: 10, 1
GB f1 score: 0.143
GB cohens kappa score: 0.129

-> test with 'KNN'
KNN tn, fp: 260, 27
KNN fn, tp: 1, 10
KNN f1 score: 0.417
KNN cohens kappa score: 0.381


------ Step 3/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 18s - loss: 0.4564
 38/115 [========>.....................] - ETA: 0s - loss: 0.3385 
 77/115 [===================>..........] - ETA: 0s - loss: 0.3060
115/115 [==============================] - ETA: 0s - loss: 0.2933
115/115 [==============================] - 0s 1ms/step - loss: 0.2933
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2899
 40/115 [=========>....................] - ETA: 0s - loss: 0.2603
 77/115 [===================>..........] - ETA: 0s - loss: 0.2557
107/115 [==========================>...] - ETA: 0s - loss: 0.2516
115/115 [==============================] - 0s 1ms/step - loss: 0.2452
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1222
 32/115 [=======>......................] - ETA: 0s - loss: 0.2103
 63/115 [===============>..............] - ETA: 0s - loss: 0.2364
102/115 [=========================>....] - ETA: 0s - loss: 0.2368
115/115 [==============================] - 0s 1ms/step - loss: 0.2316
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1262
 38/115 [========>.....................] - ETA: 0s - loss: 0.2133
 75/115 [==================>...........] - ETA: 0s - loss: 0.2279
111/115 [===========================>..] - ETA: 0s - loss: 0.2229
115/115 [==============================] - 0s 1ms/step - loss: 0.2233
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1065
 38/115 [========>.....................] - ETA: 0s - loss: 0.2205
 73/115 [==================>...........] - ETA: 0s - loss: 0.2202
110/115 [===========================>..] - ETA: 0s - loss: 0.2193
115/115 [==============================] - 0s 1ms/step - loss: 0.2185
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1266
 39/115 [=========>....................] - ETA: 0s - loss: 0.2150
 77/115 [===================>..........] - ETA: 0s - loss: 0.2158
112/115 [============================>.] - ETA: 0s - loss: 0.2173
115/115 [==============================] - 0s 1ms/step - loss: 0.2160
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1650
 38/115 [========>.....................] - ETA: 0s - loss: 0.2060
 74/115 [==================>...........] - ETA: 0s - loss: 0.2093
112/115 [============================>.] - ETA: 0s - loss: 0.2128
115/115 [==============================] - 0s 1ms/step - loss: 0.2108
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1881
 39/115 [=========>....................] - ETA: 0s - loss: 0.2114
 74/115 [==================>...........] - ETA: 0s - loss: 0.2071
113/115 [============================>.] - ETA: 0s - loss: 0.2085
115/115 [==============================] - 0s 1ms/step - loss: 0.2076
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1684
 40/115 [=========>....................] - ETA: 0s - loss: 0.1955
 79/115 [===================>..........] - ETA: 0s - loss: 0.2067
115/115 [==============================] - 0s 1ms/step - loss: 0.2057
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2040
 40/115 [=========>....................] - ETA: 0s - loss: 0.2051
 79/115 [===================>..........] - ETA: 0s - loss: 0.2025
115/115 [==============================] - 0s 1ms/step - loss: 0.2019
-> test with GAN.predict
GAN tn, fp: 259, 28
GAN fn, tp: 3, 8
GAN f1 score: 0.340
GAN cohens kappa score: 0.301

-> test with 'LR'
LR tn, fp: 248, 39
LR fn, tp: 3, 8
LR f1 score: 0.276
LR cohens kappa score: 0.230
LR average precision score: 0.237

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 9, 2
RF f1 score: 0.286
RF cohens kappa score: 0.274

-> test with 'GB'
GB tn, fp: 284, 3
GB fn, tp: 10, 1
GB f1 score: 0.133
GB cohens kappa score: 0.116

-> test with 'KNN'
KNN tn, fp: 262, 25
KNN fn, tp: 3, 8
KNN f1 score: 0.364
KNN cohens kappa score: 0.326


------ Step 3/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 23s - loss: 0.3049
 39/115 [=========>....................] - ETA: 0s - loss: 0.4300 
 76/115 [==================>...........] - ETA: 0s - loss: 0.4095
114/115 [============================>.] - ETA: 0s - loss: 0.3897
115/115 [==============================] - 0s 1ms/step - loss: 0.3895
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3285
 39/115 [=========>....................] - ETA: 0s - loss: 0.3376
 77/115 [===================>..........] - ETA: 0s - loss: 0.3328
114/115 [============================>.] - ETA: 0s - loss: 0.3245
115/115 [==============================] - 0s 1ms/step - loss: 0.3240
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4941
 39/115 [=========>....................] - ETA: 0s - loss: 0.3159
 77/115 [===================>..........] - ETA: 0s - loss: 0.3084
114/115 [============================>.] - ETA: 0s - loss: 0.3025
115/115 [==============================] - 0s 1ms/step - loss: 0.3027
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.4060
 40/115 [=========>....................] - ETA: 0s - loss: 0.2928
 78/115 [===================>..........] - ETA: 0s - loss: 0.2965
115/115 [==============================] - 0s 1ms/step - loss: 0.2940
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2504
 39/115 [=========>....................] - ETA: 0s - loss: 0.2795
 76/115 [==================>...........] - ETA: 0s - loss: 0.2847
115/115 [==============================] - ETA: 0s - loss: 0.2824
115/115 [==============================] - 0s 1ms/step - loss: 0.2824
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1216
 36/115 [========>.....................] - ETA: 0s - loss: 0.2863
 66/115 [================>.............] - ETA: 0s - loss: 0.2928
100/115 [=========================>....] - ETA: 0s - loss: 0.2803
115/115 [==============================] - 0s 1ms/step - loss: 0.2770
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1249
 38/115 [========>.....................] - ETA: 0s - loss: 0.2794
 74/115 [==================>...........] - ETA: 0s - loss: 0.2634
111/115 [===========================>..] - ETA: 0s - loss: 0.2700
115/115 [==============================] - 0s 1ms/step - loss: 0.2711
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2230
 38/115 [========>.....................] - ETA: 0s - loss: 0.2528
 76/115 [==================>...........] - ETA: 0s - loss: 0.2732
115/115 [==============================] - ETA: 0s - loss: 0.2674
115/115 [==============================] - 0s 1ms/step - loss: 0.2674
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1466
 38/115 [========>.....................] - ETA: 0s - loss: 0.2671
 75/115 [==================>...........] - ETA: 0s - loss: 0.2587
112/115 [============================>.] - ETA: 0s - loss: 0.2656
115/115 [==============================] - 0s 1ms/step - loss: 0.2628
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2659
 39/115 [=========>....................] - ETA: 0s - loss: 0.2936
 78/115 [===================>..........] - ETA: 0s - loss: 0.2628
114/115 [============================>.] - ETA: 0s - loss: 0.2562
115/115 [==============================] - 0s 1ms/step - loss: 0.2572
-> test with GAN.predict
GAN tn, fp: 260, 27
GAN fn, tp: 2, 9
GAN f1 score: 0.383
GAN cohens kappa score: 0.346

-> test with 'LR'
LR tn, fp: 241, 46
LR fn, tp: 2, 9
LR f1 score: 0.273
LR cohens kappa score: 0.225
LR average precision score: 0.522

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 9, 2
RF f1 score: 0.286
RF cohens kappa score: 0.274

-> test with 'GB'
GB tn, fp: 284, 3
GB fn, tp: 9, 2
GB f1 score: 0.250
GB cohens kappa score: 0.232

-> test with 'KNN'
KNN tn, fp: 261, 26
KNN fn, tp: 4, 7
KNN f1 score: 0.318
KNN cohens kappa score: 0.278


------ Step 3/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1104 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 21s - loss: 0.3063
 39/115 [=========>....................] - ETA: 0s - loss: 0.4389 
 76/115 [==================>...........] - ETA: 0s - loss: 0.4085
114/115 [============================>.] - ETA: 0s - loss: 0.3836
115/115 [==============================] - 0s 1ms/step - loss: 0.3831
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3489
 40/115 [=========>....................] - ETA: 0s - loss: 0.3011
 78/115 [===================>..........] - ETA: 0s - loss: 0.3173
115/115 [==============================] - 0s 1ms/step - loss: 0.3036
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1391
 37/115 [========>.....................] - ETA: 0s - loss: 0.2938
 74/115 [==================>...........] - ETA: 0s - loss: 0.2726
112/115 [============================>.] - ETA: 0s - loss: 0.2746
115/115 [==============================] - 0s 1ms/step - loss: 0.2785
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.3330
 40/115 [=========>....................] - ETA: 0s - loss: 0.2811
 78/115 [===================>..........] - ETA: 0s - loss: 0.2739
115/115 [==============================] - ETA: 0s - loss: 0.2738
115/115 [==============================] - 0s 1ms/step - loss: 0.2738
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3518
 37/115 [========>.....................] - ETA: 0s - loss: 0.2824
 76/115 [==================>...........] - ETA: 0s - loss: 0.2587
115/115 [==============================] - 0s 1ms/step - loss: 0.2610
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1038
 38/115 [========>.....................] - ETA: 0s - loss: 0.2667
 77/115 [===================>..........] - ETA: 0s - loss: 0.2520
113/115 [============================>.] - ETA: 0s - loss: 0.2529
115/115 [==============================] - 0s 1ms/step - loss: 0.2562
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2097
 40/115 [=========>....................] - ETA: 0s - loss: 0.2608
 77/115 [===================>..........] - ETA: 0s - loss: 0.2541
115/115 [==============================] - ETA: 0s - loss: 0.2494
115/115 [==============================] - 0s 1ms/step - loss: 0.2494
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1528
 34/115 [=======>......................] - ETA: 0s - loss: 0.2381
 71/115 [=================>............] - ETA: 0s - loss: 0.2408
110/115 [===========================>..] - ETA: 0s - loss: 0.2492
115/115 [==============================] - 0s 1ms/step - loss: 0.2459
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1596
 38/115 [========>.....................] - ETA: 0s - loss: 0.2456
 74/115 [==================>...........] - ETA: 0s - loss: 0.2432
102/115 [=========================>....] - ETA: 0s - loss: 0.2429
115/115 [==============================] - 0s 2ms/step - loss: 0.2447
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1422
 38/115 [========>.....................] - ETA: 0s - loss: 0.2495
 69/115 [=================>............] - ETA: 0s - loss: 0.2360
101/115 [=========================>....] - ETA: 0s - loss: 0.2322
115/115 [==============================] - 0s 1ms/step - loss: 0.2367
-> test with GAN.predict
GAN tn, fp: 252, 33
GAN fn, tp: 2, 5
GAN f1 score: 0.222
GAN cohens kappa score: 0.189

-> test with 'LR'
LR tn, fp: 243, 42
LR fn, tp: 1, 6
LR f1 score: 0.218
LR cohens kappa score: 0.184
LR average precision score: 0.419

-> test with 'RF'
RF tn, fp: 285, 0
RF fn, tp: 6, 1
RF f1 score: 0.250
RF cohens kappa score: 0.245

-> test with 'GB'
GB tn, fp: 284, 1
GB fn, tp: 4, 3
GB f1 score: 0.545
GB cohens kappa score: 0.537

-> test with 'KNN'
KNN tn, fp: 257, 28
KNN fn, tp: 1, 6
KNN f1 score: 0.293
KNN cohens kappa score: 0.263


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

------ Step 4/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 19s - loss: 0.5319
 40/115 [=========>....................] - ETA: 0s - loss: 0.3934 
 79/115 [===================>..........] - ETA: 0s - loss: 0.3458
115/115 [==============================] - 0s 1ms/step - loss: 0.3342
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.4563
 40/115 [=========>....................] - ETA: 0s - loss: 0.2810
 77/115 [===================>..........] - ETA: 0s - loss: 0.2851
115/115 [==============================] - ETA: 0s - loss: 0.2766
115/115 [==============================] - 0s 1ms/step - loss: 0.2766
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2045
 37/115 [========>.....................] - ETA: 0s - loss: 0.2549
 75/115 [==================>...........] - ETA: 0s - loss: 0.2698
111/115 [===========================>..] - ETA: 0s - loss: 0.2678
115/115 [==============================] - 0s 1ms/step - loss: 0.2678
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1368
 38/115 [========>.....................] - ETA: 0s - loss: 0.2619
 77/115 [===================>..........] - ETA: 0s - loss: 0.2642
115/115 [==============================] - ETA: 0s - loss: 0.2600
115/115 [==============================] - 0s 1ms/step - loss: 0.2600
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2756
 38/115 [========>.....................] - ETA: 0s - loss: 0.2980
 76/115 [==================>...........] - ETA: 0s - loss: 0.2609
112/115 [============================>.] - ETA: 0s - loss: 0.2524
115/115 [==============================] - 0s 1ms/step - loss: 0.2530
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3274
 37/115 [========>.....................] - ETA: 0s - loss: 0.2581
 75/115 [==================>...........] - ETA: 0s - loss: 0.2446
114/115 [============================>.] - ETA: 0s - loss: 0.2479
115/115 [==============================] - 0s 1ms/step - loss: 0.2484
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1115
 38/115 [========>.....................] - ETA: 0s - loss: 0.2378
 77/115 [===================>..........] - ETA: 0s - loss: 0.2504
115/115 [==============================] - 0s 1ms/step - loss: 0.2430
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2380
 38/115 [========>.....................] - ETA: 0s - loss: 0.2234
 73/115 [==================>...........] - ETA: 0s - loss: 0.2273
110/115 [===========================>..] - ETA: 0s - loss: 0.2356
115/115 [==============================] - 0s 1ms/step - loss: 0.2382
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.3834
 39/115 [=========>....................] - ETA: 0s - loss: 0.2575
 77/115 [===================>..........] - ETA: 0s - loss: 0.2455
114/115 [============================>.] - ETA: 0s - loss: 0.2316
115/115 [==============================] - 0s 1ms/step - loss: 0.2317
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.3426
 37/115 [========>.....................] - ETA: 0s - loss: 0.2113
 74/115 [==================>...........] - ETA: 0s - loss: 0.2363
112/115 [============================>.] - ETA: 0s - loss: 0.2302
115/115 [==============================] - 0s 1ms/step - loss: 0.2300
-> test with GAN.predict
GAN tn, fp: 262, 25
GAN fn, tp: 4, 7
GAN f1 score: 0.326
GAN cohens kappa score: 0.286

-> test with 'LR'
LR tn, fp: 253, 34
LR fn, tp: 4, 7
LR f1 score: 0.269
LR cohens kappa score: 0.224
LR average precision score: 0.476

-> test with 'RF'
RF tn, fp: 287, 0
RF fn, tp: 8, 3
RF f1 score: 0.429
RF cohens kappa score: 0.419

-> test with 'GB'
GB tn, fp: 286, 1
GB fn, tp: 10, 1
GB f1 score: 0.154
GB cohens kappa score: 0.144

-> test with 'KNN'
KNN tn, fp: 269, 18
KNN fn, tp: 5, 6
KNN f1 score: 0.343
KNN cohens kappa score: 0.308


------ Step 4/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 18s - loss: 0.4495
 38/115 [========>.....................] - ETA: 0s - loss: 0.4665 
 72/115 [=================>............] - ETA: 0s - loss: 0.4392
108/115 [===========================>..] - ETA: 0s - loss: 0.4181
115/115 [==============================] - 0s 1ms/step - loss: 0.4130
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2993
 39/115 [=========>....................] - ETA: 0s - loss: 0.3210
 75/115 [==================>...........] - ETA: 0s - loss: 0.3271
113/115 [============================>.] - ETA: 0s - loss: 0.3393
115/115 [==============================] - 0s 1ms/step - loss: 0.3403
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4827
 40/115 [=========>....................] - ETA: 0s - loss: 0.3155
 78/115 [===================>..........] - ETA: 0s - loss: 0.3300
115/115 [==============================] - 0s 1ms/step - loss: 0.3228
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1929
 38/115 [========>.....................] - ETA: 0s - loss: 0.3065
 76/115 [==================>...........] - ETA: 0s - loss: 0.3147
115/115 [==============================] - ETA: 0s - loss: 0.3098
115/115 [==============================] - 0s 1ms/step - loss: 0.3098
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3907
 39/115 [=========>....................] - ETA: 0s - loss: 0.2993
 78/115 [===================>..........] - ETA: 0s - loss: 0.3094
114/115 [============================>.] - ETA: 0s - loss: 0.3072
115/115 [==============================] - 0s 1ms/step - loss: 0.3068
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3212
 36/115 [========>.....................] - ETA: 0s - loss: 0.3172
 65/115 [===============>..............] - ETA: 0s - loss: 0.3165
 96/115 [========================>.....] - ETA: 0s - loss: 0.3036
115/115 [==============================] - 0s 2ms/step - loss: 0.2965
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.4708
 38/115 [========>.....................] - ETA: 0s - loss: 0.2805
 74/115 [==================>...........] - ETA: 0s - loss: 0.3035
111/115 [===========================>..] - ETA: 0s - loss: 0.2920
115/115 [==============================] - 0s 1ms/step - loss: 0.2896
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2312
 34/115 [=======>......................] - ETA: 0s - loss: 0.2875
 72/115 [=================>............] - ETA: 0s - loss: 0.2813
107/115 [==========================>...] - ETA: 0s - loss: 0.2856
115/115 [==============================] - 0s 1ms/step - loss: 0.2840
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2057
 39/115 [=========>....................] - ETA: 0s - loss: 0.2772
 75/115 [==================>...........] - ETA: 0s - loss: 0.2802
113/115 [============================>.] - ETA: 0s - loss: 0.2791
115/115 [==============================] - 0s 1ms/step - loss: 0.2814
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2926
 36/115 [========>.....................] - ETA: 0s - loss: 0.2916
 71/115 [=================>............] - ETA: 0s - loss: 0.2811
104/115 [==========================>...] - ETA: 0s - loss: 0.2816
115/115 [==============================] - 0s 1ms/step - loss: 0.2787
-> test with GAN.predict
GAN tn, fp: 255, 32
GAN fn, tp: 3, 8
GAN f1 score: 0.314
GAN cohens kappa score: 0.272

-> test with 'LR'
LR tn, fp: 245, 42
LR fn, tp: 2, 9
LR f1 score: 0.290
LR cohens kappa score: 0.244
LR average precision score: 0.320

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 9, 2
RF f1 score: 0.286
RF cohens kappa score: 0.274

-> test with 'GB'
GB tn, fp: 283, 4
GB fn, tp: 9, 2
GB f1 score: 0.235
GB cohens kappa score: 0.215

-> test with 'KNN'
KNN tn, fp: 255, 32
KNN fn, tp: 2, 9
KNN f1 score: 0.346
KNN cohens kappa score: 0.306


------ Step 4/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 24s - loss: 0.4652
 39/115 [=========>....................] - ETA: 0s - loss: 0.4095 
 78/115 [===================>..........] - ETA: 0s - loss: 0.3656
114/115 [============================>.] - ETA: 0s - loss: 0.3515
115/115 [==============================] - 0s 1ms/step - loss: 0.3507
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2491
 37/115 [========>.....................] - ETA: 0s - loss: 0.2818
 75/115 [==================>...........] - ETA: 0s - loss: 0.2895
111/115 [===========================>..] - ETA: 0s - loss: 0.2819
115/115 [==============================] - 0s 1ms/step - loss: 0.2822
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2442
 40/115 [=========>....................] - ETA: 0s - loss: 0.2833
 78/115 [===================>..........] - ETA: 0s - loss: 0.2743
115/115 [==============================] - 0s 1ms/step - loss: 0.2653
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2819
 39/115 [=========>....................] - ETA: 0s - loss: 0.2621
 78/115 [===================>..........] - ETA: 0s - loss: 0.2524
110/115 [===========================>..] - ETA: 0s - loss: 0.2534
115/115 [==============================] - 0s 1ms/step - loss: 0.2541
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1717
 40/115 [=========>....................] - ETA: 0s - loss: 0.2225
 78/115 [===================>..........] - ETA: 0s - loss: 0.2389
115/115 [==============================] - 0s 1ms/step - loss: 0.2462
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3072
 40/115 [=========>....................] - ETA: 0s - loss: 0.2243
 79/115 [===================>..........] - ETA: 0s - loss: 0.2361
115/115 [==============================] - 0s 1ms/step - loss: 0.2399
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1974
 40/115 [=========>....................] - ETA: 0s - loss: 0.2295
 75/115 [==================>...........] - ETA: 0s - loss: 0.2144
114/115 [============================>.] - ETA: 0s - loss: 0.2339
115/115 [==============================] - 0s 1ms/step - loss: 0.2336
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1050
 40/115 [=========>....................] - ETA: 0s - loss: 0.2440
 80/115 [===================>..........] - ETA: 0s - loss: 0.2411
115/115 [==============================] - 0s 1ms/step - loss: 0.2331
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1337
 40/115 [=========>....................] - ETA: 0s - loss: 0.2368
 73/115 [==================>...........] - ETA: 0s - loss: 0.2217
111/115 [===========================>..] - ETA: 0s - loss: 0.2270
115/115 [==============================] - 0s 1ms/step - loss: 0.2251
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1783
 39/115 [=========>....................] - ETA: 0s - loss: 0.2398
 79/115 [===================>..........] - ETA: 0s - loss: 0.2237
115/115 [==============================] - 0s 1ms/step - loss: 0.2263
-> test with GAN.predict
GAN tn, fp: 258, 29
GAN fn, tp: 3, 8
GAN f1 score: 0.333
GAN cohens kappa score: 0.293

-> test with 'LR'
LR tn, fp: 239, 48
LR fn, tp: 2, 9
LR f1 score: 0.265
LR cohens kappa score: 0.216
LR average precision score: 0.312

-> test with 'RF'
RF tn, fp: 285, 2
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.011

-> test with 'GB'
GB tn, fp: 282, 5
GB fn, tp: 8, 3
GB f1 score: 0.316
GB cohens kappa score: 0.294

-> test with 'KNN'
KNN tn, fp: 260, 27
KNN fn, tp: 2, 9
KNN f1 score: 0.383
KNN cohens kappa score: 0.346


------ Step 4/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 22s - loss: 0.4129
 39/115 [=========>....................] - ETA: 0s - loss: 0.4286 
 78/115 [===================>..........] - ETA: 0s - loss: 0.3834
115/115 [==============================] - 0s 1ms/step - loss: 0.3709
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3170
 39/115 [=========>....................] - ETA: 0s - loss: 0.3146
 78/115 [===================>..........] - ETA: 0s - loss: 0.3222
115/115 [==============================] - 0s 1ms/step - loss: 0.3174
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2098
 38/115 [========>.....................] - ETA: 0s - loss: 0.3042
 75/115 [==================>...........] - ETA: 0s - loss: 0.2997
112/115 [============================>.] - ETA: 0s - loss: 0.3002
115/115 [==============================] - 0s 1ms/step - loss: 0.2980
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2506
 39/115 [=========>....................] - ETA: 0s - loss: 0.2817
 77/115 [===================>..........] - ETA: 0s - loss: 0.2835
115/115 [==============================] - 0s 1ms/step - loss: 0.2862
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2009
 39/115 [=========>....................] - ETA: 0s - loss: 0.2905
 75/115 [==================>...........] - ETA: 0s - loss: 0.2869
114/115 [============================>.] - ETA: 0s - loss: 0.2780
115/115 [==============================] - 0s 1ms/step - loss: 0.2772
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1238
 40/115 [=========>....................] - ETA: 0s - loss: 0.2941
 78/115 [===================>..........] - ETA: 0s - loss: 0.2775
113/115 [============================>.] - ETA: 0s - loss: 0.2712
115/115 [==============================] - 0s 1ms/step - loss: 0.2706
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2986
 38/115 [========>.....................] - ETA: 0s - loss: 0.2520
 77/115 [===================>..........] - ETA: 0s - loss: 0.2621
113/115 [============================>.] - ETA: 0s - loss: 0.2641
115/115 [==============================] - 0s 1ms/step - loss: 0.2657
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2405
 40/115 [=========>....................] - ETA: 0s - loss: 0.2725
 75/115 [==================>...........] - ETA: 0s - loss: 0.2592
109/115 [===========================>..] - ETA: 0s - loss: 0.2645
115/115 [==============================] - 0s 1ms/step - loss: 0.2616
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2419
 34/115 [=======>......................] - ETA: 0s - loss: 0.2635
 71/115 [=================>............] - ETA: 0s - loss: 0.2591
107/115 [==========================>...] - ETA: 0s - loss: 0.2595
115/115 [==============================] - 0s 1ms/step - loss: 0.2556
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2388
 38/115 [========>.....................] - ETA: 0s - loss: 0.2331
 73/115 [==================>...........] - ETA: 0s - loss: 0.2440
109/115 [===========================>..] - ETA: 0s - loss: 0.2529
115/115 [==============================] - 0s 1ms/step - loss: 0.2536
-> test with GAN.predict
GAN tn, fp: 244, 43
GAN fn, tp: 3, 8
GAN f1 score: 0.258
GAN cohens kappa score: 0.210

-> test with 'LR'
LR tn, fp: 242, 45
LR fn, tp: 3, 8
LR f1 score: 0.250
LR cohens kappa score: 0.201
LR average precision score: 0.284

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 10, 1
RF f1 score: 0.154
RF cohens kappa score: 0.144

-> test with 'GB'
GB tn, fp: 284, 3
GB fn, tp: 11, 0
GB f1 score: 0.000
GB cohens kappa score: -0.016

-> test with 'KNN'
KNN tn, fp: 255, 32
KNN fn, tp: 4, 7
KNN f1 score: 0.280
KNN cohens kappa score: 0.236


------ Step 4/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1104 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 20s - loss: 0.4429
 33/115 [=======>......................] - ETA: 0s - loss: 0.4586 
 64/115 [===============>..............] - ETA: 0s - loss: 0.4326
 95/115 [=======================>......] - ETA: 0s - loss: 0.4054
115/115 [==============================] - 0s 2ms/step - loss: 0.3940
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.4996
 31/115 [=======>......................] - ETA: 0s - loss: 0.3673
 63/115 [===============>..............] - ETA: 0s - loss: 0.3631
 95/115 [=======================>......] - ETA: 0s - loss: 0.3488
115/115 [==============================] - 0s 2ms/step - loss: 0.3387
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4496
 32/115 [=======>......................] - ETA: 0s - loss: 0.3249
 67/115 [================>.............] - ETA: 0s - loss: 0.3123
100/115 [=========================>....] - ETA: 0s - loss: 0.3191
115/115 [==============================] - 0s 2ms/step - loss: 0.3173
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2281
 32/115 [=======>......................] - ETA: 0s - loss: 0.3329
 65/115 [===============>..............] - ETA: 0s - loss: 0.3121
100/115 [=========================>....] - ETA: 0s - loss: 0.3033
115/115 [==============================] - 0s 2ms/step - loss: 0.3086
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.4666
 32/115 [=======>......................] - ETA: 0s - loss: 0.2974
 65/115 [===============>..............] - ETA: 0s - loss: 0.3155
 97/115 [========================>.....] - ETA: 0s - loss: 0.2979
115/115 [==============================] - 0s 2ms/step - loss: 0.2990
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1950
 34/115 [=======>......................] - ETA: 0s - loss: 0.2804
 68/115 [================>.............] - ETA: 0s - loss: 0.2956
103/115 [=========================>....] - ETA: 0s - loss: 0.2950
115/115 [==============================] - 0s 2ms/step - loss: 0.2953
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3267
 32/115 [=======>......................] - ETA: 0s - loss: 0.2944
 64/115 [===============>..............] - ETA: 0s - loss: 0.2896
 97/115 [========================>.....] - ETA: 0s - loss: 0.2933
115/115 [==============================] - 0s 2ms/step - loss: 0.2887
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.3046
 29/115 [======>.......................] - ETA: 0s - loss: 0.2546
 63/115 [===============>..............] - ETA: 0s - loss: 0.2699
 93/115 [=======================>......] - ETA: 0s - loss: 0.2734
115/115 [==============================] - 0s 2ms/step - loss: 0.2836
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1527
 34/115 [=======>......................] - ETA: 0s - loss: 0.2743
 70/115 [=================>............] - ETA: 0s - loss: 0.2875
103/115 [=========================>....] - ETA: 0s - loss: 0.2825
115/115 [==============================] - 0s 1ms/step - loss: 0.2805
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2253
 33/115 [=======>......................] - ETA: 0s - loss: 0.2605
 64/115 [===============>..............] - ETA: 0s - loss: 0.2728
 96/115 [========================>.....] - ETA: 0s - loss: 0.2769
115/115 [==============================] - 0s 2ms/step - loss: 0.2760
-> test with GAN.predict
GAN tn, fp: 260, 25
GAN fn, tp: 2, 5
GAN f1 score: 0.270
GAN cohens kappa score: 0.241

-> test with 'LR'
LR tn, fp: 240, 45
LR fn, tp: 2, 5
LR f1 score: 0.175
LR cohens kappa score: 0.139
LR average precision score: 0.450

-> test with 'RF'
RF tn, fp: 284, 1
RF fn, tp: 4, 3
RF f1 score: 0.545
RF cohens kappa score: 0.537

-> test with 'GB'
GB tn, fp: 281, 4
GB fn, tp: 4, 3
GB f1 score: 0.429
GB cohens kappa score: 0.415

-> test with 'KNN'
KNN tn, fp: 255, 30
KNN fn, tp: 2, 5
KNN f1 score: 0.238
KNN cohens kappa score: 0.206


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

------ Step 5/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 23s - loss: 0.7872
 38/115 [========>.....................] - ETA: 0s - loss: 0.4382 
 77/115 [===================>..........] - ETA: 0s - loss: 0.3774
115/115 [==============================] - ETA: 0s - loss: 0.3601
115/115 [==============================] - 0s 1ms/step - loss: 0.3601
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2619
 34/115 [=======>......................] - ETA: 0s - loss: 0.3121
 71/115 [=================>............] - ETA: 0s - loss: 0.2832
107/115 [==========================>...] - ETA: 0s - loss: 0.2826
115/115 [==============================] - 0s 1ms/step - loss: 0.2839
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3194
 39/115 [=========>....................] - ETA: 0s - loss: 0.2596
 78/115 [===================>..........] - ETA: 0s - loss: 0.2639
115/115 [==============================] - 0s 1ms/step - loss: 0.2667
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2249
 42/115 [=========>....................] - ETA: 0s - loss: 0.2738
 82/115 [====================>.........] - ETA: 0s - loss: 0.2712
115/115 [==============================] - 0s 1ms/step - loss: 0.2598
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1255
 36/115 [========>.....................] - ETA: 0s - loss: 0.2465
 76/115 [==================>...........] - ETA: 0s - loss: 0.2514
114/115 [============================>.] - ETA: 0s - loss: 0.2542
115/115 [==============================] - 0s 1ms/step - loss: 0.2546
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.0762
 37/115 [========>.....................] - ETA: 0s - loss: 0.2610
 76/115 [==================>...........] - ETA: 0s - loss: 0.2568
115/115 [==============================] - ETA: 0s - loss: 0.2517
115/115 [==============================] - 0s 1ms/step - loss: 0.2517
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.0925
 34/115 [=======>......................] - ETA: 0s - loss: 0.2292
 64/115 [===============>..............] - ETA: 0s - loss: 0.2457
 95/115 [=======================>......] - ETA: 0s - loss: 0.2486
115/115 [==============================] - 0s 2ms/step - loss: 0.2517
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2868
 40/115 [=========>....................] - ETA: 0s - loss: 0.2335
 76/115 [==================>...........] - ETA: 0s - loss: 0.2397
113/115 [============================>.] - ETA: 0s - loss: 0.2484
115/115 [==============================] - 0s 1ms/step - loss: 0.2470
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1105
 38/115 [========>.....................] - ETA: 0s - loss: 0.2316
 74/115 [==================>...........] - ETA: 0s - loss: 0.2478
111/115 [===========================>..] - ETA: 0s - loss: 0.2479
115/115 [==============================] - 0s 1ms/step - loss: 0.2469
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2135
 35/115 [========>.....................] - ETA: 0s - loss: 0.2174
 71/115 [=================>............] - ETA: 0s - loss: 0.2348
110/115 [===========================>..] - ETA: 0s - loss: 0.2379
115/115 [==============================] - 0s 1ms/step - loss: 0.2430
-> test with GAN.predict
GAN tn, fp: 261, 26
GAN fn, tp: 4, 7
GAN f1 score: 0.318
GAN cohens kappa score: 0.278

-> test with 'LR'
LR tn, fp: 253, 34
LR fn, tp: 4, 7
LR f1 score: 0.269
LR cohens kappa score: 0.224
LR average precision score: 0.230

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.006

-> test with 'GB'
GB tn, fp: 284, 3
GB fn, tp: 11, 0
GB f1 score: 0.000
GB cohens kappa score: -0.016

-> test with 'KNN'
KNN tn, fp: 262, 25
KNN fn, tp: 1, 10
KNN f1 score: 0.435
KNN cohens kappa score: 0.401


------ Step 5/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 19s - loss: 0.3734
 39/115 [=========>....................] - ETA: 0s - loss: 0.4141 
 77/115 [===================>..........] - ETA: 0s - loss: 0.3689
114/115 [============================>.] - ETA: 0s - loss: 0.3426
115/115 [==============================] - 0s 1ms/step - loss: 0.3413
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2503
 38/115 [========>.....................] - ETA: 0s - loss: 0.2948
 75/115 [==================>...........] - ETA: 0s - loss: 0.2868
112/115 [============================>.] - ETA: 0s - loss: 0.2854
115/115 [==============================] - 0s 1ms/step - loss: 0.2876
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2999
 36/115 [========>.....................] - ETA: 0s - loss: 0.2710
 74/115 [==================>...........] - ETA: 0s - loss: 0.2757
113/115 [============================>.] - ETA: 0s - loss: 0.2698
115/115 [==============================] - 0s 1ms/step - loss: 0.2703
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2090
 40/115 [=========>....................] - ETA: 0s - loss: 0.2973
 79/115 [===================>..........] - ETA: 0s - loss: 0.2698
115/115 [==============================] - 0s 1ms/step - loss: 0.2613
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1143
 36/115 [========>.....................] - ETA: 0s - loss: 0.2433
 74/115 [==================>...........] - ETA: 0s - loss: 0.2434
113/115 [============================>.] - ETA: 0s - loss: 0.2524
115/115 [==============================] - 0s 1ms/step - loss: 0.2528
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.4641
 40/115 [=========>....................] - ETA: 0s - loss: 0.2253
 77/115 [===================>..........] - ETA: 0s - loss: 0.2377
115/115 [==============================] - ETA: 0s - loss: 0.2479
115/115 [==============================] - 0s 1ms/step - loss: 0.2479
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2018
 39/115 [=========>....................] - ETA: 0s - loss: 0.2480
 74/115 [==================>...........] - ETA: 0s - loss: 0.2411
110/115 [===========================>..] - ETA: 0s - loss: 0.2400
115/115 [==============================] - 0s 1ms/step - loss: 0.2405
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2200
 31/115 [=======>......................] - ETA: 0s - loss: 0.2373
 62/115 [===============>..............] - ETA: 0s - loss: 0.2286
 98/115 [========================>.....] - ETA: 0s - loss: 0.2319
115/115 [==============================] - 0s 2ms/step - loss: 0.2343
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2735
 39/115 [=========>....................] - ETA: 0s - loss: 0.2374
 75/115 [==================>...........] - ETA: 0s - loss: 0.2226
110/115 [===========================>..] - ETA: 0s - loss: 0.2272
115/115 [==============================] - 0s 1ms/step - loss: 0.2306
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.0956
 35/115 [========>.....................] - ETA: 0s - loss: 0.2431
 73/115 [==================>...........] - ETA: 0s - loss: 0.2180
109/115 [===========================>..] - ETA: 0s - loss: 0.2258
115/115 [==============================] - 0s 1ms/step - loss: 0.2269
-> test with GAN.predict
GAN tn, fp: 256, 31
GAN fn, tp: 3, 8
GAN f1 score: 0.320
GAN cohens kappa score: 0.278

-> test with 'LR'
LR tn, fp: 232, 55
LR fn, tp: 2, 9
LR f1 score: 0.240
LR cohens kappa score: 0.189
LR average precision score: 0.522

-> test with 'RF'
RF tn, fp: 285, 2
RF fn, tp: 10, 1
RF f1 score: 0.143
RF cohens kappa score: 0.129

-> test with 'GB'
GB tn, fp: 286, 1
GB fn, tp: 9, 2
GB f1 score: 0.286
GB cohens kappa score: 0.274

-> test with 'KNN'
KNN tn, fp: 256, 31
KNN fn, tp: 1, 10
KNN f1 score: 0.385
KNN cohens kappa score: 0.347


------ Step 5/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 19s - loss: 0.4939
 40/115 [=========>....................] - ETA: 0s - loss: 0.4490 
 79/115 [===================>..........] - ETA: 0s - loss: 0.4087
115/115 [==============================] - ETA: 0s - loss: 0.3875
115/115 [==============================] - 0s 1ms/step - loss: 0.3875
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2940
 34/115 [=======>......................] - ETA: 0s - loss: 0.3339
 66/115 [================>.............] - ETA: 0s - loss: 0.3306
 99/115 [========================>.....] - ETA: 0s - loss: 0.3317
115/115 [==============================] - 0s 2ms/step - loss: 0.3289
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1536
 40/115 [=========>....................] - ETA: 0s - loss: 0.3217
 77/115 [===================>..........] - ETA: 0s - loss: 0.3153
115/115 [==============================] - ETA: 0s - loss: 0.3126
115/115 [==============================] - 0s 1ms/step - loss: 0.3126
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.3379
 38/115 [========>.....................] - ETA: 0s - loss: 0.3246
 75/115 [==================>...........] - ETA: 0s - loss: 0.3034
113/115 [============================>.] - ETA: 0s - loss: 0.3001
115/115 [==============================] - 0s 1ms/step - loss: 0.3014
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2461
 39/115 [=========>....................] - ETA: 0s - loss: 0.2889
 76/115 [==================>...........] - ETA: 0s - loss: 0.2946
113/115 [============================>.] - ETA: 0s - loss: 0.2930
115/115 [==============================] - 0s 1ms/step - loss: 0.2929
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3076
 39/115 [=========>....................] - ETA: 0s - loss: 0.2994
 77/115 [===================>..........] - ETA: 0s - loss: 0.2914
113/115 [============================>.] - ETA: 0s - loss: 0.2873
115/115 [==============================] - 0s 1ms/step - loss: 0.2861
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2610
 39/115 [=========>....................] - ETA: 0s - loss: 0.2951
 76/115 [==================>...........] - ETA: 0s - loss: 0.2755
112/115 [============================>.] - ETA: 0s - loss: 0.2802
115/115 [==============================] - 0s 1ms/step - loss: 0.2795
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2701
 35/115 [========>.....................] - ETA: 0s - loss: 0.2866
 71/115 [=================>............] - ETA: 0s - loss: 0.2818
108/115 [===========================>..] - ETA: 0s - loss: 0.2703
115/115 [==============================] - 0s 1ms/step - loss: 0.2726
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1834
 38/115 [========>.....................] - ETA: 0s - loss: 0.2719
 76/115 [==================>...........] - ETA: 0s - loss: 0.2823
114/115 [============================>.] - ETA: 0s - loss: 0.2683
115/115 [==============================] - 0s 1ms/step - loss: 0.2676
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.4286
 39/115 [=========>....................] - ETA: 0s - loss: 0.2813
 79/115 [===================>..........] - ETA: 0s - loss: 0.2740
115/115 [==============================] - 0s 1ms/step - loss: 0.2657
-> test with GAN.predict
GAN tn, fp: 257, 30
GAN fn, tp: 2, 9
GAN f1 score: 0.360
GAN cohens kappa score: 0.321

-> test with 'LR'
LR tn, fp: 238, 49
LR fn, tp: 3, 8
LR f1 score: 0.235
LR cohens kappa score: 0.185
LR average precision score: 0.530

-> test with 'RF'
RF tn, fp: 287, 0
RF fn, tp: 10, 1
RF f1 score: 0.167
RF cohens kappa score: 0.162

-> test with 'GB'
GB tn, fp: 287, 0
GB fn, tp: 8, 3
GB f1 score: 0.429
GB cohens kappa score: 0.419

-> test with 'KNN'
KNN tn, fp: 256, 31
KNN fn, tp: 5, 6
KNN f1 score: 0.250
KNN cohens kappa score: 0.205


------ Step 5/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1106 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 18s - loss: 0.4771
 41/115 [=========>....................] - ETA: 0s - loss: 0.4111 
 78/115 [===================>..........] - ETA: 0s - loss: 0.3904
115/115 [==============================] - 0s 1ms/step - loss: 0.3773
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.4346
 40/115 [=========>....................] - ETA: 0s - loss: 0.3231
 78/115 [===================>..........] - ETA: 0s - loss: 0.3115
114/115 [============================>.] - ETA: 0s - loss: 0.3196
115/115 [==============================] - 0s 1ms/step - loss: 0.3187
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1996
 40/115 [=========>....................] - ETA: 0s - loss: 0.2730
 78/115 [===================>..........] - ETA: 0s - loss: 0.2979
115/115 [==============================] - ETA: 0s - loss: 0.2938
115/115 [==============================] - 0s 1ms/step - loss: 0.2938
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.4768
 39/115 [=========>....................] - ETA: 0s - loss: 0.3193
 78/115 [===================>..........] - ETA: 0s - loss: 0.2800
113/115 [============================>.] - ETA: 0s - loss: 0.2826
115/115 [==============================] - 0s 1ms/step - loss: 0.2819
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2176
 42/115 [=========>....................] - ETA: 0s - loss: 0.2592
 81/115 [====================>.........] - ETA: 0s - loss: 0.2740
115/115 [==============================] - 0s 1ms/step - loss: 0.2686
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2037
 38/115 [========>.....................] - ETA: 0s - loss: 0.2698
 75/115 [==================>...........] - ETA: 0s - loss: 0.2678
115/115 [==============================] - ETA: 0s - loss: 0.2640
115/115 [==============================] - 0s 1ms/step - loss: 0.2640
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.4146
 40/115 [=========>....................] - ETA: 0s - loss: 0.2454
 75/115 [==================>...........] - ETA: 0s - loss: 0.2574
107/115 [==========================>...] - ETA: 0s - loss: 0.2543
115/115 [==============================] - 0s 1ms/step - loss: 0.2552
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1550
 33/115 [=======>......................] - ETA: 0s - loss: 0.2467
 71/115 [=================>............] - ETA: 0s - loss: 0.2463
110/115 [===========================>..] - ETA: 0s - loss: 0.2489
115/115 [==============================] - 0s 1ms/step - loss: 0.2472
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1764
 38/115 [========>.....................] - ETA: 0s - loss: 0.2494
 76/115 [==================>...........] - ETA: 0s - loss: 0.2460
115/115 [==============================] - ETA: 0s - loss: 0.2477
115/115 [==============================] - 0s 1ms/step - loss: 0.2477
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2037
 39/115 [=========>....................] - ETA: 0s - loss: 0.2269
 75/115 [==================>...........] - ETA: 0s - loss: 0.2392
114/115 [============================>.] - ETA: 0s - loss: 0.2396
115/115 [==============================] - 0s 1ms/step - loss: 0.2389
-> test with GAN.predict
GAN tn, fp: 247, 40
GAN fn, tp: 1, 10
GAN f1 score: 0.328
GAN cohens kappa score: 0.285

-> test with 'LR'
LR tn, fp: 242, 45
LR fn, tp: 1, 10
LR f1 score: 0.303
LR cohens kappa score: 0.257
LR average precision score: 0.545

-> test with 'RF'
RF tn, fp: 285, 2
RF fn, tp: 10, 1
RF f1 score: 0.143
RF cohens kappa score: 0.129

-> test with 'GB'
GB tn, fp: 281, 6
GB fn, tp: 9, 2
GB f1 score: 0.211
GB cohens kappa score: 0.185

-> test with 'KNN'
KNN tn, fp: 256, 31
KNN fn, tp: 2, 9
KNN f1 score: 0.353
KNN cohens kappa score: 0.313


------ Step 5/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1104 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/115 [..............................] - ETA: 26s - loss: 0.4530
 35/115 [========>.....................] - ETA: 0s - loss: 0.4314 
 73/115 [==================>...........] - ETA: 0s - loss: 0.4051
111/115 [===========================>..] - ETA: 0s - loss: 0.3923
115/115 [==============================] - 0s 1ms/step - loss: 0.3895
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1742
 37/115 [========>.....................] - ETA: 0s - loss: 0.3873
 72/115 [=================>............] - ETA: 0s - loss: 0.3535
110/115 [===========================>..] - ETA: 0s - loss: 0.3435
115/115 [==============================] - 0s 1ms/step - loss: 0.3427
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4327
 38/115 [========>.....................] - ETA: 0s - loss: 0.3172
 75/115 [==================>...........] - ETA: 0s - loss: 0.3413
112/115 [============================>.] - ETA: 0s - loss: 0.3340
115/115 [==============================] - 0s 1ms/step - loss: 0.3348
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.3548
 38/115 [========>.....................] - ETA: 0s - loss: 0.3464
 75/115 [==================>...........] - ETA: 0s - loss: 0.3283
109/115 [===========================>..] - ETA: 0s - loss: 0.3222
115/115 [==============================] - 0s 1ms/step - loss: 0.3234
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1934
 40/115 [=========>....................] - ETA: 0s - loss: 0.2960
 78/115 [===================>..........] - ETA: 0s - loss: 0.3168
115/115 [==============================] - 0s 1ms/step - loss: 0.3151
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.4505
 39/115 [=========>....................] - ETA: 0s - loss: 0.2907
 75/115 [==================>...........] - ETA: 0s - loss: 0.3010
112/115 [============================>.] - ETA: 0s - loss: 0.3053
115/115 [==============================] - 0s 1ms/step - loss: 0.3062
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1032
 36/115 [========>.....................] - ETA: 0s - loss: 0.3177
 74/115 [==================>...........] - ETA: 0s - loss: 0.3031
110/115 [===========================>..] - ETA: 0s - loss: 0.3004
115/115 [==============================] - 0s 1ms/step - loss: 0.3021
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.4227
 36/115 [========>.....................] - ETA: 0s - loss: 0.2836
 73/115 [==================>...........] - ETA: 0s - loss: 0.3048
110/115 [===========================>..] - ETA: 0s - loss: 0.3070
115/115 [==============================] - 0s 1ms/step - loss: 0.3024
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1192
 26/115 [=====>........................] - ETA: 0s - loss: 0.3037
 59/115 [==============>...............] - ETA: 0s - loss: 0.2945
 94/115 [=======================>......] - ETA: 0s - loss: 0.2996
115/115 [==============================] - 0s 2ms/step - loss: 0.2978
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.3629
 35/115 [========>.....................] - ETA: 0s - loss: 0.3205
 72/115 [=================>............] - ETA: 0s - loss: 0.3088
108/115 [===========================>..] - ETA: 0s - loss: 0.2970
115/115 [==============================] - 0s 1ms/step - loss: 0.2910
-> test with GAN.predict
GAN tn, fp: 250, 35
GAN fn, tp: 3, 4
GAN f1 score: 0.174
GAN cohens kappa score: 0.139

-> test with 'LR'
LR tn, fp: 233, 52
LR fn, tp: 3, 4
LR f1 score: 0.127
LR cohens kappa score: 0.088
LR average precision score: 0.127

-> test with 'RF'
RF tn, fp: 283, 2
RF fn, tp: 6, 1
RF f1 score: 0.200
RF cohens kappa score: 0.188

-> test with 'GB'
GB tn, fp: 281, 4
GB fn, tp: 5, 2
GB f1 score: 0.308
GB cohens kappa score: 0.292

-> test with 'KNN'
KNN tn, fp: 260, 25
KNN fn, tp: 1, 6
KNN f1 score: 0.316
KNN cohens kappa score: 0.288

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 254, 62
LR fn, tp: 6, 10
LR f1 score: 0.308
LR cohens kappa score: 0.265
LR average precision score: 0.608


average:
LR tn, fp: 241.96, 44.64
LR fn, tp: 2.4, 7.8
LR f1 score: 0.249
LR cohens kappa score: 0.204
LR average precision score: 0.381


minimum:
LR tn, fp: 225, 33
LR fn, tp: 1, 4
LR f1 score: 0.127
LR cohens kappa score: 0.088
LR average precision score: 0.127


-----[ RF ]-----
maximum:
RF tn, fp: 287, 3
RF fn, tp: 11, 3
RF f1 score: 0.545
RF cohens kappa score: 0.537


average:
RF tn, fp: 285.64, 0.96
RF fn, tp: 8.68, 1.52
RF f1 score: 0.238
RF cohens kappa score: 0.228


minimum:
RF tn, fp: 283, 0
RF fn, tp: 4, 0
RF f1 score: 0.000
RF cohens kappa score: -0.011


-----[ GB ]-----
maximum:
GB tn, fp: 287, 6
GB fn, tp: 11, 5
GB f1 score: 0.545
GB cohens kappa score: 0.537


average:
GB tn, fp: 283.76, 2.84
GB fn, tp: 8.2, 2.0
GB f1 score: 0.261
GB cohens kappa score: 0.245


minimum:
GB tn, fp: 281, 0
GB fn, tp: 4, 0
GB f1 score: 0.000
GB cohens kappa score: -0.016


-----[ KNN ]-----
maximum:
KNN tn, fp: 270, 46
KNN fn, tp: 5, 10
KNN f1 score: 0.444
KNN cohens kappa score: 0.414


average:
KNN tn, fp: 258.2, 28.4
KNN fn, tp: 2.4, 7.8
KNN f1 score: 0.338
KNN cohens kappa score: 0.301


minimum:
KNN tn, fp: 241, 17
KNN fn, tp: 1, 5
KNN f1 score: 0.238
KNN cohens kappa score: 0.205


-----[ GAN ]-----
maximum:
GAN tn, fp: 268, 50
GAN fn, tp: 7, 10
GAN f1 score: 0.400
GAN cohens kappa score: 0.366


average:
GAN tn, fp: 256.04, 30.56
GAN fn, tp: 2.68, 7.52
GAN f1 score: 0.311
GAN cohens kappa score: 0.273


minimum:
GAN tn, fp: 237, 19
GAN fn, tp: 1, 4
GAN f1 score: 0.174
GAN cohens kappa score: 0.139