///////////////////////////////////////////
// Running convGAN-proximary-full 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: 21s - loss: 0.3102
 32/115 [=======>......................] - ETA: 0s - loss: 0.2869 
 64/115 [===============>..............] - ETA: 0s - loss: 0.2634
 96/115 [========================>.....] - ETA: 0s - loss: 0.2632
115/115 [==============================] - 0s 2ms/step - loss: 0.2547
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2331
 34/115 [=======>......................] - ETA: 0s - loss: 0.2107
 66/115 [================>.............] - ETA: 0s - loss: 0.2129
 99/115 [========================>.....] - ETA: 0s - loss: 0.2244
115/115 [==============================] - 0s 2ms/step - loss: 0.2331
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3563
 30/115 [======>.......................] - ETA: 0s - loss: 0.2426
 56/115 [=============>................] - ETA: 0s - loss: 0.2257
 87/115 [=====================>........] - ETA: 0s - loss: 0.2219
115/115 [==============================] - 0s 2ms/step - loss: 0.2211
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1941
 33/115 [=======>......................] - ETA: 0s - loss: 0.2525
 62/115 [===============>..............] - ETA: 0s - loss: 0.2262
 91/115 [======================>.......] - ETA: 0s - loss: 0.2219
115/115 [==============================] - 0s 2ms/step - loss: 0.2182
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2107
 31/115 [=======>......................] - ETA: 0s - loss: 0.2140
 63/115 [===============>..............] - ETA: 0s - loss: 0.2285
 95/115 [=======================>......] - ETA: 0s - loss: 0.2215
115/115 [==============================] - 0s 2ms/step - loss: 0.2170
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1322
 32/115 [=======>......................] - ETA: 0s - loss: 0.2433
 64/115 [===============>..............] - ETA: 0s - loss: 0.2106
 94/115 [=======================>......] - ETA: 0s - loss: 0.2134
115/115 [==============================] - 0s 2ms/step - loss: 0.2113
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1184
 31/115 [=======>......................] - ETA: 0s - loss: 0.1931
 62/115 [===============>..............] - ETA: 0s - loss: 0.2057
 94/115 [=======================>......] - ETA: 0s - loss: 0.2182
115/115 [==============================] - 0s 2ms/step - loss: 0.2111
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1005
 28/115 [======>.......................] - ETA: 0s - loss: 0.1860
 55/115 [=============>................] - ETA: 0s - loss: 0.1932
 83/115 [====================>.........] - ETA: 0s - loss: 0.2005
113/115 [============================>.] - ETA: 0s - loss: 0.2102
115/115 [==============================] - 0s 2ms/step - loss: 0.2098
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.5033
 32/115 [=======>......................] - ETA: 0s - loss: 0.2138
 63/115 [===============>..............] - ETA: 0s - loss: 0.2059
 94/115 [=======================>......] - ETA: 0s - loss: 0.2076
115/115 [==============================] - 0s 2ms/step - loss: 0.2089
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.3100
 30/115 [======>.......................] - ETA: 0s - loss: 0.1963
 60/115 [==============>...............] - ETA: 0s - loss: 0.2135
 90/115 [======================>.......] - ETA: 0s - loss: 0.2156
115/115 [==============================] - 0s 2ms/step - loss: 0.2078
-> 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: 254, 33
LR fn, tp: 2, 9
LR f1 score: 0.340
LR cohens kappa score: 0.299
LR average precision score: 0.343

-> 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: 286, 1
GB fn, tp: 10, 1
GB f1 score: 0.154
GB cohens kappa score: 0.144

-> test with 'KNN'
KNN tn, fp: 260, 27
KNN fn, tp: 3, 8
KNN f1 score: 0.348
KNN cohens kappa score: 0.309


------ 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: 21s - loss: 1.5052
 33/115 [=======>......................] - ETA: 0s - loss: 0.3070 
 67/115 [================>.............] - ETA: 0s - loss: 0.3504
101/115 [=========================>....] - ETA: 0s - loss: 0.3327
115/115 [==============================] - 0s 2ms/step - loss: 0.3258
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.5005
 34/115 [=======>......................] - ETA: 0s - loss: 0.3105
 67/115 [================>.............] - ETA: 0s - loss: 0.2915
 99/115 [========================>.....] - ETA: 0s - loss: 0.2814
115/115 [==============================] - 0s 2ms/step - loss: 0.2888
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1918
 35/115 [========>.....................] - ETA: 0s - loss: 0.3354
 67/115 [================>.............] - ETA: 0s - loss: 0.2997
103/115 [=========================>....] - ETA: 0s - loss: 0.2839
115/115 [==============================] - 0s 1ms/step - loss: 0.2684
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2188
 33/115 [=======>......................] - ETA: 0s - loss: 0.2683
 65/115 [===============>..............] - ETA: 0s - loss: 0.2315
 97/115 [========================>.....] - ETA: 0s - loss: 0.2464
115/115 [==============================] - 0s 2ms/step - loss: 0.2570
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1213
 33/115 [=======>......................] - ETA: 0s - loss: 0.2260
 66/115 [================>.............] - ETA: 0s - loss: 0.2650
 94/115 [=======================>......] - ETA: 0s - loss: 0.2504
115/115 [==============================] - 0s 2ms/step - loss: 0.2418
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2192
 28/115 [======>.......................] - ETA: 0s - loss: 0.2590
 59/115 [==============>...............] - ETA: 0s - loss: 0.2466
 92/115 [=======================>......] - ETA: 0s - loss: 0.2353
115/115 [==============================] - 0s 2ms/step - loss: 0.2319
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2766
 33/115 [=======>......................] - ETA: 0s - loss: 0.2250
 66/115 [================>.............] - ETA: 0s - loss: 0.2311
 98/115 [========================>.....] - ETA: 0s - loss: 0.2284
115/115 [==============================] - 0s 2ms/step - loss: 0.2220
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.4272
 35/115 [========>.....................] - ETA: 0s - loss: 0.2164
 70/115 [=================>............] - ETA: 0s - loss: 0.2118
104/115 [==========================>...] - ETA: 0s - loss: 0.2107
115/115 [==============================] - 0s 1ms/step - loss: 0.2144
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1011
 31/115 [=======>......................] - ETA: 0s - loss: 0.1959
 64/115 [===============>..............] - ETA: 0s - loss: 0.2035
 96/115 [========================>.....] - ETA: 0s - loss: 0.2100
115/115 [==============================] - 0s 2ms/step - loss: 0.2095
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.0597
 33/115 [=======>......................] - ETA: 0s - loss: 0.1674
 67/115 [================>.............] - ETA: 0s - loss: 0.2011
 97/115 [========================>.....] - ETA: 0s - loss: 0.2098
115/115 [==============================] - 0s 2ms/step - loss: 0.2062
-> test with GAN.predict
GAN tn, fp: 253, 34
GAN fn, tp: 1, 10
GAN f1 score: 0.364
GAN cohens kappa score: 0.324

-> test with 'LR'
LR tn, fp: 245, 42
LR fn, tp: 1, 10
LR f1 score: 0.317
LR cohens kappa score: 0.273
LR average precision score: 0.616

-> test with 'RF'
RF tn, fp: 281, 6
RF fn, tp: 7, 4
RF f1 score: 0.381
RF cohens kappa score: 0.358

-> test with 'GB'
GB tn, fp: 278, 9
GB fn, tp: 4, 7
GB f1 score: 0.519
GB cohens kappa score: 0.496

-> test with 'KNN'
KNN tn, fp: 259, 28
KNN fn, tp: 1, 10
KNN f1 score: 0.408
KNN cohens kappa score: 0.372


------ 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: 20s - loss: 0.2476
 34/115 [=======>......................] - ETA: 0s - loss: 0.3155 
 65/115 [===============>..............] - ETA: 0s - loss: 0.3006
 97/115 [========================>.....] - ETA: 0s - loss: 0.2985
115/115 [==============================] - 0s 2ms/step - loss: 0.3047
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.0611
 33/115 [=======>......................] - ETA: 0s - loss: 0.3070
 66/115 [================>.............] - ETA: 0s - loss: 0.2662
 97/115 [========================>.....] - ETA: 0s - loss: 0.2722
115/115 [==============================] - 0s 2ms/step - loss: 0.2729
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.5984
 33/115 [=======>......................] - ETA: 0s - loss: 0.2236
 66/115 [================>.............] - ETA: 0s - loss: 0.2328
 98/115 [========================>.....] - ETA: 0s - loss: 0.2523
115/115 [==============================] - 0s 2ms/step - loss: 0.2572
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.3598
 33/115 [=======>......................] - ETA: 0s - loss: 0.2590
 65/115 [===============>..............] - ETA: 0s - loss: 0.2669
 97/115 [========================>.....] - ETA: 0s - loss: 0.2489
115/115 [==============================] - 0s 2ms/step - loss: 0.2456
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2014
 31/115 [=======>......................] - ETA: 0s - loss: 0.2217
 65/115 [===============>..............] - ETA: 0s - loss: 0.2288
 98/115 [========================>.....] - ETA: 0s - loss: 0.2437
115/115 [==============================] - 0s 2ms/step - loss: 0.2379
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1951
 32/115 [=======>......................] - ETA: 0s - loss: 0.2717
 64/115 [===============>..............] - ETA: 0s - loss: 0.2367
 97/115 [========================>.....] - ETA: 0s - loss: 0.2209
115/115 [==============================] - 0s 2ms/step - loss: 0.2322
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.0796
 33/115 [=======>......................] - ETA: 0s - loss: 0.1960
 65/115 [===============>..............] - ETA: 0s - loss: 0.2061
 97/115 [========================>.....] - ETA: 0s - loss: 0.2079
115/115 [==============================] - 0s 2ms/step - loss: 0.2262
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.3961
 33/115 [=======>......................] - ETA: 0s - loss: 0.2045
 65/115 [===============>..............] - ETA: 0s - loss: 0.2138
 97/115 [========================>.....] - ETA: 0s - loss: 0.2102
115/115 [==============================] - 0s 2ms/step - loss: 0.2213
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2135
 34/115 [=======>......................] - ETA: 0s - loss: 0.2150
 67/115 [================>.............] - ETA: 0s - loss: 0.2018
101/115 [=========================>....] - ETA: 0s - loss: 0.2101
115/115 [==============================] - 0s 2ms/step - loss: 0.2127
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2881
 35/115 [========>.....................] - ETA: 0s - loss: 0.2134
 64/115 [===============>..............] - ETA: 0s - loss: 0.2015
 96/115 [========================>.....] - ETA: 0s - loss: 0.2030
115/115 [==============================] - 0s 2ms/step - loss: 0.2069
-> test with GAN.predict
GAN tn, fp: 264, 23
GAN fn, tp: 3, 8
GAN f1 score: 0.381
GAN cohens kappa score: 0.345

-> 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: 0.298

-> test with 'RF'
RF tn, fp: 283, 4
RF fn, tp: 8, 3
RF f1 score: 0.333
RF cohens kappa score: 0.314

-> test with 'GB'
GB tn, fp: 278, 9
GB fn, tp: 7, 4
GB f1 score: 0.333
GB cohens kappa score: 0.306

-> test with 'KNN'
KNN tn, fp: 263, 24
KNN fn, tp: 3, 8
KNN f1 score: 0.372
KNN cohens kappa score: 0.336


------ 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: 32s - loss: 0.1420
 11/115 [=>............................] - ETA: 0s - loss: 0.5071 
 20/115 [====>.........................] - ETA: 0s - loss: 0.3924
 36/115 [========>.....................] - ETA: 0s - loss: 0.3226
 54/115 [=============>................] - ETA: 0s - loss: 0.2810
 69/115 [=================>............] - ETA: 0s - loss: 0.2775
 82/115 [====================>.........] - ETA: 0s - loss: 0.2655
100/115 [=========================>....] - ETA: 0s - loss: 0.2649
110/115 [===========================>..] - ETA: 0s - loss: 0.2594
115/115 [==============================] - 1s 4ms/step - loss: 0.2631
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.3977
 17/115 [===>..........................] - ETA: 0s - loss: 0.2989
 33/115 [=======>......................] - ETA: 0s - loss: 0.2364
 46/115 [===========>..................] - ETA: 0s - loss: 0.2191
 60/115 [==============>...............] - ETA: 0s - loss: 0.2366
 76/115 [==================>...........] - ETA: 0s - loss: 0.2260
 94/115 [=======================>......] - ETA: 0s - loss: 0.2305
110/115 [===========================>..] - ETA: 0s - loss: 0.2419
115/115 [==============================] - 0s 3ms/step - loss: 0.2427
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2792
 13/115 [==>...........................] - ETA: 0s - loss: 0.1963
 20/115 [====>.........................] - ETA: 0s - loss: 0.2096
 38/115 [========>.....................] - ETA: 0s - loss: 0.2188
 55/115 [=============>................] - ETA: 0s - loss: 0.2131
 76/115 [==================>...........] - ETA: 0s - loss: 0.2182
 93/115 [=======================>......] - ETA: 0s - loss: 0.2152
112/115 [============================>.] - ETA: 0s - loss: 0.2302
115/115 [==============================] - 0s 3ms/step - loss: 0.2283
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1497
 21/115 [====>.........................] - ETA: 0s - loss: 0.2513
 45/115 [==========>...................] - ETA: 0s - loss: 0.2360
 69/115 [=================>............] - ETA: 0s - loss: 0.2253
 93/115 [=======================>......] - ETA: 0s - loss: 0.2147
112/115 [============================>.] - ETA: 0s - loss: 0.2190
115/115 [==============================] - 0s 2ms/step - loss: 0.2169
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3282
 18/115 [===>..........................] - ETA: 0s - loss: 0.2314
 40/115 [=========>....................] - ETA: 0s - loss: 0.2045
 62/115 [===============>..............] - ETA: 0s - loss: 0.2005
 86/115 [=====================>........] - ETA: 0s - loss: 0.2024
111/115 [===========================>..] - ETA: 0s - loss: 0.2033
115/115 [==============================] - 0s 2ms/step - loss: 0.2098
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1658
 21/115 [====>.........................] - ETA: 0s - loss: 0.1999
 43/115 [==========>...................] - ETA: 0s - loss: 0.2186
 64/115 [===============>..............] - ETA: 0s - loss: 0.2251
 83/115 [====================>.........] - ETA: 0s - loss: 0.2126
 97/115 [========================>.....] - ETA: 0s - loss: 0.2156
114/115 [============================>.] - ETA: 0s - loss: 0.2067
115/115 [==============================] - 0s 3ms/step - loss: 0.2058
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.4802
 23/115 [=====>........................] - ETA: 0s - loss: 0.1718
 34/115 [=======>......................] - ETA: 0s - loss: 0.1862
 45/115 [==========>...................] - ETA: 0s - loss: 0.1894
 63/115 [===============>..............] - ETA: 0s - loss: 0.1837
 83/115 [====================>.........] - ETA: 0s - loss: 0.1910
100/115 [=========================>....] - ETA: 0s - loss: 0.1924
115/115 [==============================] - 0s 3ms/step - loss: 0.1960
Epoch 8/10

  1/115 [..............................] - ETA: 1s - loss: 0.1788
 21/115 [====>.........................] - ETA: 0s - loss: 0.2016
 41/115 [=========>....................] - ETA: 0s - loss: 0.1767
 61/115 [==============>...............] - ETA: 0s - loss: 0.1837
 84/115 [====================>.........] - ETA: 0s - loss: 0.1930
107/115 [==========================>...] - ETA: 0s - loss: 0.1941
115/115 [==============================] - 0s 2ms/step - loss: 0.1919
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0463
 22/115 [====>.........................] - ETA: 0s - loss: 0.2026
 44/115 [==========>...................] - ETA: 0s - loss: 0.1945
 65/115 [===============>..............] - ETA: 0s - loss: 0.1941
 88/115 [=====================>........] - ETA: 0s - loss: 0.1910
113/115 [============================>.] - ETA: 0s - loss: 0.1877
115/115 [==============================] - 0s 2ms/step - loss: 0.1861
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2949
 28/115 [======>.......................] - ETA: 0s - loss: 0.1768
 54/115 [=============>................] - ETA: 0s - loss: 0.1850
 82/115 [====================>.........] - ETA: 0s - loss: 0.1805
110/115 [===========================>..] - ETA: 0s - loss: 0.1838
115/115 [==============================] - 0s 2ms/step - loss: 0.1826
-> test with GAN.predict
GAN tn, fp: 263, 24
GAN fn, tp: 7, 4
GAN f1 score: 0.205
GAN cohens kappa score: 0.161

-> test with 'LR'
LR tn, fp: 255, 32
LR fn, tp: 6, 5
LR f1 score: 0.208
LR cohens kappa score: 0.161
LR average precision score: 0.220

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

-> test with 'GB'
GB tn, fp: 279, 8
GB fn, tp: 8, 3
GB f1 score: 0.273
GB cohens kappa score: 0.245

-> test with 'KNN'
KNN tn, fp: 263, 24
KNN fn, tp: 4, 7
KNN f1 score: 0.333
KNN cohens kappa score: 0.295


------ 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: 21s - loss: 0.2915
 36/115 [========>.....................] - ETA: 0s - loss: 0.3855 
 69/115 [=================>............] - ETA: 0s - loss: 0.3943
102/115 [=========================>....] - ETA: 0s - loss: 0.3362
115/115 [==============================] - 0s 1ms/step - loss: 0.3277
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1649
 38/115 [========>.....................] - ETA: 0s - loss: 0.3317
 77/115 [===================>..........] - ETA: 0s - loss: 0.3149
114/115 [============================>.] - ETA: 0s - loss: 0.2939
115/115 [==============================] - 0s 1ms/step - loss: 0.2923
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2706
 37/115 [========>.....................] - ETA: 0s - loss: 0.2778
 73/115 [==================>...........] - ETA: 0s - loss: 0.3008
114/115 [============================>.] - ETA: 0s - loss: 0.2736
115/115 [==============================] - 0s 1ms/step - loss: 0.2737
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1582
 42/115 [=========>....................] - ETA: 0s - loss: 0.2536
 78/115 [===================>..........] - ETA: 0s - loss: 0.2640
115/115 [==============================] - 0s 1ms/step - loss: 0.2614
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1327
 39/115 [=========>....................] - ETA: 0s - loss: 0.2585
 75/115 [==================>...........] - ETA: 0s - loss: 0.2517
115/115 [==============================] - ETA: 0s - loss: 0.2489
115/115 [==============================] - 0s 1ms/step - loss: 0.2489
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.0825
 40/115 [=========>....................] - ETA: 0s - loss: 0.2661
 79/115 [===================>..........] - ETA: 0s - loss: 0.2440
115/115 [==============================] - 0s 1ms/step - loss: 0.2416
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1830
 40/115 [=========>....................] - ETA: 0s - loss: 0.2309
 79/115 [===================>..........] - ETA: 0s - loss: 0.2269
115/115 [==============================] - 0s 1ms/step - loss: 0.2325
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2610
 38/115 [========>.....................] - ETA: 0s - loss: 0.2150
 70/115 [=================>............] - ETA: 0s - loss: 0.2201
109/115 [===========================>..] - ETA: 0s - loss: 0.2261
115/115 [==============================] - 0s 1ms/step - loss: 0.2242
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1352
 40/115 [=========>....................] - ETA: 0s - loss: 0.2180
 80/115 [===================>..........] - ETA: 0s - loss: 0.2172
115/115 [==============================] - 0s 1ms/step - loss: 0.2176
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2598
 39/115 [=========>....................] - ETA: 0s - loss: 0.2265
 79/115 [===================>..........] - ETA: 0s - loss: 0.2320
115/115 [==============================] - 0s 1ms/step - loss: 0.2154
-> test with GAN.predict
GAN tn, fp: 255, 30
GAN fn, tp: 2, 5
GAN f1 score: 0.238
GAN cohens kappa score: 0.206

-> 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: 0.467

-> test with 'RF'
RF tn, fp: 284, 1
RF fn, tp: 5, 2
RF f1 score: 0.400
RF cohens kappa score: 0.391

-> test with 'GB'
GB tn, fp: 282, 3
GB fn, tp: 6, 1
GB f1 score: 0.182
GB cohens kappa score: 0.167

-> 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: 18s - loss: 0.0669
 41/115 [=========>....................] - ETA: 0s - loss: 0.3039 
 80/115 [===================>..........] - ETA: 0s - loss: 0.2875
115/115 [==============================] - 0s 1ms/step - loss: 0.2671
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.4084
 35/115 [========>.....................] - ETA: 0s - loss: 0.2774
 69/115 [=================>............] - ETA: 0s - loss: 0.2521
103/115 [=========================>....] - ETA: 0s - loss: 0.2367
115/115 [==============================] - 0s 1ms/step - loss: 0.2250
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4434
 35/115 [========>.....................] - ETA: 0s - loss: 0.2036
 70/115 [=================>............] - ETA: 0s - loss: 0.2228
104/115 [==========================>...] - ETA: 0s - loss: 0.2094
115/115 [==============================] - 0s 1ms/step - loss: 0.2116
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1367
 37/115 [========>.....................] - ETA: 0s - loss: 0.1783
 74/115 [==================>...........] - ETA: 0s - loss: 0.2005
113/115 [============================>.] - ETA: 0s - loss: 0.2010
115/115 [==============================] - 0s 1ms/step - loss: 0.1993
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2952
 39/115 [=========>....................] - ETA: 0s - loss: 0.2080
 78/115 [===================>..........] - ETA: 0s - loss: 0.2055
114/115 [============================>.] - ETA: 0s - loss: 0.1973
115/115 [==============================] - 0s 1ms/step - loss: 0.1967
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.0507
 37/115 [========>.....................] - ETA: 0s - loss: 0.1590
 76/115 [==================>...........] - ETA: 0s - loss: 0.1845
115/115 [==============================] - 0s 1ms/step - loss: 0.1902
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2051
 31/115 [=======>......................] - ETA: 0s - loss: 0.1614
 66/115 [================>.............] - ETA: 0s - loss: 0.1760
 99/115 [========================>.....] - ETA: 0s - loss: 0.1875
115/115 [==============================] - 0s 2ms/step - loss: 0.1874
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2470
 38/115 [========>.....................] - ETA: 0s - loss: 0.2342
 78/115 [===================>..........] - ETA: 0s - loss: 0.2065
115/115 [==============================] - 0s 1ms/step - loss: 0.1889
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0773
 41/115 [=========>....................] - ETA: 0s - loss: 0.1525
 77/115 [===================>..........] - ETA: 0s - loss: 0.1646
110/115 [===========================>..] - ETA: 0s - loss: 0.1865
115/115 [==============================] - 0s 1ms/step - loss: 0.1876
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1330
 35/115 [========>.....................] - ETA: 0s - loss: 0.1498
 69/115 [=================>............] - ETA: 0s - loss: 0.1640
108/115 [===========================>..] - ETA: 0s - loss: 0.1828
115/115 [==============================] - 0s 1ms/step - loss: 0.1833
-> test with GAN.predict
GAN tn, fp: 275, 12
GAN fn, tp: 4, 7
GAN f1 score: 0.467
GAN cohens kappa score: 0.441

-> 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: 0.341

-> 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: 283, 4
GB fn, tp: 7, 4
GB f1 score: 0.421
GB cohens kappa score: 0.402

-> test with 'KNN'
KNN tn, fp: 266, 21
KNN fn, tp: 3, 8
KNN f1 score: 0.400
KNN cohens kappa score: 0.366


------ 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: 18s - loss: 0.4364
 43/115 [==========>...................] - ETA: 0s - loss: 0.2881 
 84/115 [====================>.........] - ETA: 0s - loss: 0.2658
115/115 [==============================] - 0s 1ms/step - loss: 0.2652
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2837
 19/115 [===>..........................] - ETA: 0s - loss: 0.2809
 53/115 [============>.................] - ETA: 0s - loss: 0.2406
 93/115 [=======================>......] - ETA: 0s - loss: 0.2517
115/115 [==============================] - 0s 3ms/step - loss: 0.2457
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2290
 42/115 [=========>....................] - ETA: 0s - loss: 0.2286
 82/115 [====================>.........] - ETA: 0s - loss: 0.2280
115/115 [==============================] - 0s 1ms/step - loss: 0.2338
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1322
 36/115 [========>.....................] - ETA: 0s - loss: 0.2235
 74/115 [==================>...........] - ETA: 0s - loss: 0.2304
111/115 [===========================>..] - ETA: 0s - loss: 0.2350
115/115 [==============================] - 0s 1ms/step - loss: 0.2342
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1099
 39/115 [=========>....................] - ETA: 0s - loss: 0.2142
 76/115 [==================>...........] - ETA: 0s - loss: 0.2140
109/115 [===========================>..] - ETA: 0s - loss: 0.2242
115/115 [==============================] - 0s 1ms/step - loss: 0.2236
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.4626
 42/115 [=========>....................] - ETA: 0s - loss: 0.2411
 82/115 [====================>.........] - ETA: 0s - loss: 0.2337
115/115 [==============================] - 0s 1ms/step - loss: 0.2247
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1623
 40/115 [=========>....................] - ETA: 0s - loss: 0.2032
 75/115 [==================>...........] - ETA: 0s - loss: 0.2139
108/115 [===========================>..] - ETA: 0s - loss: 0.2204
115/115 [==============================] - 0s 1ms/step - loss: 0.2199
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1860
 36/115 [========>.....................] - ETA: 0s - loss: 0.2285
 74/115 [==================>...........] - ETA: 0s - loss: 0.2159
111/115 [===========================>..] - ETA: 0s - loss: 0.2172
115/115 [==============================] - 0s 1ms/step - loss: 0.2174
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2356
 41/115 [=========>....................] - ETA: 0s - loss: 0.2131
 80/115 [===================>..........] - ETA: 0s - loss: 0.2118
115/115 [==============================] - 0s 1ms/step - loss: 0.2140
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1074
 39/115 [=========>....................] - ETA: 0s - loss: 0.2332
 80/115 [===================>..........] - ETA: 0s - loss: 0.2051
115/115 [==============================] - 0s 1ms/step - loss: 0.2135
-> 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: 247, 40
LR fn, tp: 2, 9
LR f1 score: 0.300
LR cohens kappa score: 0.255
LR average precision score: 0.451

-> test with 'RF'
RF tn, fp: 278, 9
RF fn, tp: 6, 5
RF f1 score: 0.400
RF cohens kappa score: 0.374

-> test with 'GB'
GB tn, fp: 275, 12
GB fn, tp: 7, 4
GB f1 score: 0.296
GB cohens kappa score: 0.264

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


------ 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: 0.2419
 40/115 [=========>....................] - ETA: 0s - loss: 0.2540 
 80/115 [===================>..........] - ETA: 0s - loss: 0.2355
115/115 [==============================] - 0s 1ms/step - loss: 0.2452
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1775
 41/115 [=========>....................] - ETA: 0s - loss: 0.2202
 79/115 [===================>..........] - ETA: 0s - loss: 0.2311
115/115 [==============================] - 0s 1ms/step - loss: 0.2166
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3663
 41/115 [=========>....................] - ETA: 0s - loss: 0.2041
 82/115 [====================>.........] - ETA: 0s - loss: 0.2065
115/115 [==============================] - 0s 1ms/step - loss: 0.2019
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.0493
 40/115 [=========>....................] - ETA: 0s - loss: 0.2205
 79/115 [===================>..........] - ETA: 0s - loss: 0.2136
115/115 [==============================] - 0s 1ms/step - loss: 0.1941
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3271
 39/115 [=========>....................] - ETA: 0s - loss: 0.2103
 78/115 [===================>..........] - ETA: 0s - loss: 0.2053
115/115 [==============================] - ETA: 0s - loss: 0.1931
115/115 [==============================] - 0s 1ms/step - loss: 0.1931
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.0879
 41/115 [=========>....................] - ETA: 0s - loss: 0.1892
 81/115 [====================>.........] - ETA: 0s - loss: 0.1927
115/115 [==============================] - 0s 1ms/step - loss: 0.1909
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3471
 38/115 [========>.....................] - ETA: 0s - loss: 0.1703
 74/115 [==================>...........] - ETA: 0s - loss: 0.1923
114/115 [============================>.] - ETA: 0s - loss: 0.1865
115/115 [==============================] - 0s 1ms/step - loss: 0.1868
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2068
 41/115 [=========>....................] - ETA: 0s - loss: 0.1605
 82/115 [====================>.........] - ETA: 0s - loss: 0.1744
115/115 [==============================] - 0s 1ms/step - loss: 0.1870
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0615
 36/115 [========>.....................] - ETA: 0s - loss: 0.1842
 70/115 [=================>............] - ETA: 0s - loss: 0.1817
110/115 [===========================>..] - ETA: 0s - loss: 0.1861
115/115 [==============================] - 0s 1ms/step - loss: 0.1837
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.0934
 40/115 [=========>....................] - ETA: 0s - loss: 0.1703
 80/115 [===================>..........] - ETA: 0s - loss: 0.1867
115/115 [==============================] - ETA: 0s - loss: 0.1818
115/115 [==============================] - 0s 1ms/step - loss: 0.1818
-> test with GAN.predict
GAN tn, fp: 263, 24
GAN fn, tp: 6, 5
GAN f1 score: 0.250
GAN cohens kappa score: 0.208

-> test with 'LR'
LR tn, fp: 252, 35
LR fn, tp: 4, 7
LR f1 score: 0.264
LR cohens kappa score: 0.218
LR average precision score: 0.356

-> test with 'RF'
RF tn, fp: 283, 4
RF fn, tp: 8, 3
RF f1 score: 0.333
RF cohens kappa score: 0.314

-> test with 'GB'
GB tn, fp: 279, 8
GB fn, tp: 7, 4
GB f1 score: 0.348
GB cohens kappa score: 0.322

-> test with 'KNN'
KNN tn, fp: 257, 30
KNN fn, tp: 4, 7
KNN f1 score: 0.292
KNN cohens kappa score: 0.249


------ 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: 17s - loss: 0.7021
 40/115 [=========>....................] - ETA: 0s - loss: 0.2800 
 79/115 [===================>..........] - ETA: 0s - loss: 0.2624
115/115 [==============================] - 0s 1ms/step - loss: 0.2418
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.0636
 40/115 [=========>....................] - ETA: 0s - loss: 0.2242
 81/115 [====================>.........] - ETA: 0s - loss: 0.2252
115/115 [==============================] - 0s 1ms/step - loss: 0.2191
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1497
 41/115 [=========>....................] - ETA: 0s - loss: 0.2375
 80/115 [===================>..........] - ETA: 0s - loss: 0.2129
114/115 [============================>.] - ETA: 0s - loss: 0.2097
115/115 [==============================] - 0s 1ms/step - loss: 0.2090
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2940
 31/115 [=======>......................] - ETA: 0s - loss: 0.1615
 63/115 [===============>..............] - ETA: 0s - loss: 0.2055
100/115 [=========================>....] - ETA: 0s - loss: 0.1977
115/115 [==============================] - 0s 1ms/step - loss: 0.2022
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2514
 40/115 [=========>....................] - ETA: 0s - loss: 0.2221
 81/115 [====================>.........] - ETA: 0s - loss: 0.2114
115/115 [==============================] - 0s 1ms/step - loss: 0.2050
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1495
 41/115 [=========>....................] - ETA: 0s - loss: 0.2200
 76/115 [==================>...........] - ETA: 0s - loss: 0.1980
113/115 [============================>.] - ETA: 0s - loss: 0.1978
115/115 [==============================] - 0s 1ms/step - loss: 0.1974
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.6140
 41/115 [=========>....................] - ETA: 0s - loss: 0.2009
 81/115 [====================>.........] - ETA: 0s - loss: 0.1995
115/115 [==============================] - 0s 1ms/step - loss: 0.1944
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0741
 38/115 [========>.....................] - ETA: 0s - loss: 0.1686
 74/115 [==================>...........] - ETA: 0s - loss: 0.2050
112/115 [============================>.] - ETA: 0s - loss: 0.1951
115/115 [==============================] - 0s 1ms/step - loss: 0.1931
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2048
 42/115 [=========>....................] - ETA: 0s - loss: 0.2170
 80/115 [===================>..........] - ETA: 0s - loss: 0.1920
115/115 [==============================] - 0s 1ms/step - loss: 0.1936
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1574
 39/115 [=========>....................] - ETA: 0s - loss: 0.2039
 76/115 [==================>...........] - ETA: 0s - loss: 0.2028
111/115 [===========================>..] - ETA: 0s - loss: 0.1892
115/115 [==============================] - 0s 1ms/step - loss: 0.1883
-> test with GAN.predict
GAN tn, fp: 257, 30
GAN fn, tp: 4, 7
GAN f1 score: 0.292
GAN cohens kappa score: 0.249

-> 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: 0.355

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

-> test with 'GB'
GB tn, fp: 279, 8
GB fn, tp: 5, 6
GB f1 score: 0.480
GB cohens kappa score: 0.458

-> test with 'KNN'
KNN tn, fp: 265, 22
KNN fn, tp: 2, 9
KNN f1 score: 0.429
KNN cohens kappa score: 0.396


------ 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: 45s - loss: 0.0971
 41/115 [=========>....................] - ETA: 0s - loss: 0.2827 
 82/115 [====================>.........] - ETA: 0s - loss: 0.2585
115/115 [==============================] - 1s 1ms/step - loss: 0.2462
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1095
 42/115 [=========>....................] - ETA: 0s - loss: 0.2178
 81/115 [====================>.........] - ETA: 0s - loss: 0.2297
115/115 [==============================] - 0s 1ms/step - loss: 0.2276
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1974
 36/115 [========>.....................] - ETA: 0s - loss: 0.2389
 70/115 [=================>............] - ETA: 0s - loss: 0.2370
107/115 [==========================>...] - ETA: 0s - loss: 0.2238
115/115 [==============================] - 0s 1ms/step - loss: 0.2217
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.3704
 40/115 [=========>....................] - ETA: 0s - loss: 0.2150
 81/115 [====================>.........] - ETA: 0s - loss: 0.2186
115/115 [==============================] - 0s 1ms/step - loss: 0.2142
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2383
 37/115 [========>.....................] - ETA: 0s - loss: 0.1952
 71/115 [=================>............] - ETA: 0s - loss: 0.2037
104/115 [==========================>...] - ETA: 0s - loss: 0.2120
115/115 [==============================] - 0s 1ms/step - loss: 0.2113
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3627
 38/115 [========>.....................] - ETA: 0s - loss: 0.2365
 72/115 [=================>............] - ETA: 0s - loss: 0.2197
111/115 [===========================>..] - ETA: 0s - loss: 0.2110
115/115 [==============================] - 0s 1ms/step - loss: 0.2129
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1484
 42/115 [=========>....................] - ETA: 0s - loss: 0.2147
 81/115 [====================>.........] - ETA: 0s - loss: 0.2226
115/115 [==============================] - 0s 1ms/step - loss: 0.2070
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0656
 33/115 [=======>......................] - ETA: 0s - loss: 0.1963
 68/115 [================>.............] - ETA: 0s - loss: 0.2269
104/115 [==========================>...] - ETA: 0s - loss: 0.2154
115/115 [==============================] - 0s 1ms/step - loss: 0.2147
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0463
 42/115 [=========>....................] - ETA: 0s - loss: 0.2150
 83/115 [====================>.........] - ETA: 0s - loss: 0.2029
115/115 [==============================] - 0s 1ms/step - loss: 0.2046
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1108
 39/115 [=========>....................] - ETA: 0s - loss: 0.1805
 73/115 [==================>...........] - ETA: 0s - loss: 0.1769
110/115 [===========================>..] - ETA: 0s - loss: 0.2000
115/115 [==============================] - 0s 1ms/step - loss: 0.2061
-> test with GAN.predict
GAN tn, fp: 256, 29
GAN fn, tp: 1, 6
GAN f1 score: 0.286
GAN cohens kappa score: 0.256

-> test with 'LR'
LR tn, fp: 248, 37
LR fn, tp: 1, 6
LR f1 score: 0.240
LR cohens kappa score: 0.207
LR average precision score: 0.406

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

-> 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: 260, 25
KNN fn, tp: 1, 6
KNN f1 score: 0.316
KNN cohens kappa score: 0.288


====== 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: 19s - loss: 0.0423
 37/115 [========>.....................] - ETA: 0s - loss: 0.2765 
 72/115 [=================>............] - ETA: 0s - loss: 0.2643
106/115 [==========================>...] - ETA: 0s - loss: 0.2482
115/115 [==============================] - 0s 1ms/step - loss: 0.2543
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.4622
 37/115 [========>.....................] - ETA: 0s - loss: 0.2173
 77/115 [===================>..........] - ETA: 0s - loss: 0.2371
115/115 [==============================] - 0s 1ms/step - loss: 0.2308
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.3843
 40/115 [=========>....................] - ETA: 0s - loss: 0.1970
 78/115 [===================>..........] - ETA: 0s - loss: 0.2197
111/115 [===========================>..] - ETA: 0s - loss: 0.2266
115/115 [==============================] - 0s 1ms/step - loss: 0.2241
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.0973
 39/115 [=========>....................] - ETA: 0s - loss: 0.2248
 80/115 [===================>..........] - ETA: 0s - loss: 0.2223
115/115 [==============================] - 0s 1ms/step - loss: 0.2156
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.0918
 40/115 [=========>....................] - ETA: 0s - loss: 0.2288
 72/115 [=================>............] - ETA: 0s - loss: 0.2091
101/115 [=========================>....] - ETA: 0s - loss: 0.2057
115/115 [==============================] - 0s 2ms/step - loss: 0.2101
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2576
 32/115 [=======>......................] - ETA: 0s - loss: 0.2291
 70/115 [=================>............] - ETA: 0s - loss: 0.2140
109/115 [===========================>..] - ETA: 0s - loss: 0.2103
115/115 [==============================] - 0s 1ms/step - loss: 0.2085
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1434
 39/115 [=========>....................] - ETA: 0s - loss: 0.2086
 77/115 [===================>..........] - ETA: 0s - loss: 0.2175
111/115 [===========================>..] - ETA: 0s - loss: 0.2062
115/115 [==============================] - 0s 1ms/step - loss: 0.2075
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2360
 40/115 [=========>....................] - ETA: 0s - loss: 0.1933
 79/115 [===================>..........] - ETA: 0s - loss: 0.2004
115/115 [==============================] - 0s 1ms/step - loss: 0.2023
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0715
 39/115 [=========>....................] - ETA: 0s - loss: 0.2062
 80/115 [===================>..........] - ETA: 0s - loss: 0.2007
115/115 [==============================] - 0s 1ms/step - loss: 0.1994
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.4256
 36/115 [========>.....................] - ETA: 0s - loss: 0.1642
 68/115 [================>.............] - ETA: 0s - loss: 0.1916
107/115 [==========================>...] - ETA: 0s - loss: 0.1945
115/115 [==============================] - 0s 1ms/step - loss: 0.1987
-> test with GAN.predict
GAN tn, fp: 267, 20
GAN fn, tp: 2, 9
GAN f1 score: 0.450
GAN cohens kappa score: 0.419

-> test with 'LR'
LR tn, fp: 251, 36
LR fn, tp: 3, 8
LR f1 score: 0.291
LR cohens kappa score: 0.246
LR average precision score: 0.419

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

-> test with 'GB'
GB tn, fp: 278, 9
GB fn, tp: 7, 4
GB f1 score: 0.333
GB cohens kappa score: 0.306

-> test with 'KNN'
KNN tn, fp: 268, 19
KNN fn, tp: 2, 9
KNN f1 score: 0.462
KNN cohens kappa score: 0.431


------ 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: 21s - loss: 0.2986
 39/115 [=========>....................] - ETA: 0s - loss: 0.1992 
 76/115 [==================>...........] - ETA: 0s - loss: 0.2087
115/115 [==============================] - 0s 1ms/step - loss: 0.2015
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1722
 40/115 [=========>....................] - ETA: 0s - loss: 0.1904
 78/115 [===================>..........] - ETA: 0s - loss: 0.1894
115/115 [==============================] - ETA: 0s - loss: 0.1940
115/115 [==============================] - 0s 1ms/step - loss: 0.1940
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1098
 40/115 [=========>....................] - ETA: 0s - loss: 0.2041
 79/115 [===================>..........] - ETA: 0s - loss: 0.1962
115/115 [==============================] - 0s 1ms/step - loss: 0.1914
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1470
 36/115 [========>.....................] - ETA: 0s - loss: 0.2020
 70/115 [=================>............] - ETA: 0s - loss: 0.1970
101/115 [=========================>....] - ETA: 0s - loss: 0.1962
115/115 [==============================] - 0s 2ms/step - loss: 0.1889
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3521
 39/115 [=========>....................] - ETA: 0s - loss: 0.1739
 76/115 [==================>...........] - ETA: 0s - loss: 0.1955
113/115 [============================>.] - ETA: 0s - loss: 0.1904
115/115 [==============================] - 0s 1ms/step - loss: 0.1892
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.4043
 40/115 [=========>....................] - ETA: 0s - loss: 0.2103
 80/115 [===================>..........] - ETA: 0s - loss: 0.1923
115/115 [==============================] - 0s 1ms/step - loss: 0.1906
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1287
 36/115 [========>.....................] - ETA: 0s - loss: 0.1759
 73/115 [==================>...........] - ETA: 0s - loss: 0.1738
109/115 [===========================>..] - ETA: 0s - loss: 0.1815
115/115 [==============================] - 0s 1ms/step - loss: 0.1832
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1398
 39/115 [=========>....................] - ETA: 0s - loss: 0.1786
 77/115 [===================>..........] - ETA: 0s - loss: 0.1836
113/115 [============================>.] - ETA: 0s - loss: 0.1867
115/115 [==============================] - 0s 1ms/step - loss: 0.1865
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1311
 40/115 [=========>....................] - ETA: 0s - loss: 0.1874
 78/115 [===================>..........] - ETA: 0s - loss: 0.1847
115/115 [==============================] - 0s 1ms/step - loss: 0.1805
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1500
 39/115 [=========>....................] - ETA: 0s - loss: 0.1895
 75/115 [==================>...........] - ETA: 0s - loss: 0.1767
112/115 [============================>.] - ETA: 0s - loss: 0.1782
115/115 [==============================] - 0s 1ms/step - loss: 0.1801
-> test with GAN.predict
GAN tn, fp: 273, 14
GAN fn, tp: 4, 7
GAN f1 score: 0.437
GAN cohens kappa score: 0.409

-> test with 'LR'
LR tn, fp: 250, 37
LR fn, tp: 2, 9
LR f1 score: 0.316
LR cohens kappa score: 0.272
LR average precision score: 0.388

-> 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: 279, 8
GB fn, tp: 5, 6
GB f1 score: 0.480
GB cohens kappa score: 0.458

-> 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 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: 20s - loss: 0.3132
 40/115 [=========>....................] - ETA: 0s - loss: 0.5026 
 77/115 [===================>..........] - ETA: 0s - loss: 0.4796
115/115 [==============================] - 0s 1ms/step - loss: 0.4074
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2920
 38/115 [========>.....................] - ETA: 0s - loss: 0.2572
 78/115 [===================>..........] - ETA: 0s - loss: 0.3400
115/115 [==============================] - ETA: 0s - loss: 0.3472
115/115 [==============================] - 0s 1ms/step - loss: 0.3472
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 1.4118
 34/115 [=======>......................] - ETA: 0s - loss: 0.3598
 67/115 [================>.............] - ETA: 0s - loss: 0.3112
103/115 [=========================>....] - ETA: 0s - loss: 0.2913
115/115 [==============================] - 0s 1ms/step - loss: 0.2981
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.3117
 40/115 [=========>....................] - ETA: 0s - loss: 0.2197
 81/115 [====================>.........] - ETA: 0s - loss: 0.2552
115/115 [==============================] - 0s 1ms/step - loss: 0.2633
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.7464
 41/115 [=========>....................] - ETA: 0s - loss: 0.2254
 80/115 [===================>..........] - ETA: 0s - loss: 0.2407
115/115 [==============================] - 0s 1ms/step - loss: 0.2355
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.0793
 40/115 [=========>....................] - ETA: 0s - loss: 0.2248
 72/115 [=================>............] - ETA: 0s - loss: 0.2049
104/115 [==========================>...] - ETA: 0s - loss: 0.2141
115/115 [==============================] - 0s 1ms/step - loss: 0.2089
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1673
 40/115 [=========>....................] - ETA: 0s - loss: 0.1900
 80/115 [===================>..........] - ETA: 0s - loss: 0.1937
115/115 [==============================] - 0s 1ms/step - loss: 0.1947
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2930
 41/115 [=========>....................] - ETA: 0s - loss: 0.1685
 80/115 [===================>..........] - ETA: 0s - loss: 0.1872
115/115 [==============================] - 0s 1ms/step - loss: 0.1856
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1677
 39/115 [=========>....................] - ETA: 0s - loss: 0.1752
 74/115 [==================>...........] - ETA: 0s - loss: 0.1699
112/115 [============================>.] - ETA: 0s - loss: 0.1819
115/115 [==============================] - 0s 1ms/step - loss: 0.1814
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2916
 37/115 [========>.....................] - ETA: 0s - loss: 0.1810
 77/115 [===================>..........] - ETA: 0s - loss: 0.1726
111/115 [===========================>..] - ETA: 0s - loss: 0.1769
115/115 [==============================] - 0s 1ms/step - loss: 0.1769
-> test with GAN.predict
GAN tn, fp: 266, 21
GAN fn, tp: 6, 5
GAN f1 score: 0.270
GAN cohens kappa score: 0.230

-> test with 'LR'
LR tn, fp: 245, 42
LR fn, tp: 4, 7
LR f1 score: 0.233
LR cohens kappa score: 0.184
LR average precision score: 0.225

-> test with 'RF'
RF tn, fp: 283, 4
RF fn, tp: 8, 3
RF f1 score: 0.333
RF cohens kappa score: 0.314

-> test with 'GB'
GB tn, fp: 279, 8
GB fn, tp: 8, 3
GB f1 score: 0.273
GB cohens kappa score: 0.245

-> test with 'KNN'
KNN tn, fp: 256, 31
KNN fn, tp: 4, 7
KNN f1 score: 0.286
KNN cohens kappa score: 0.242


------ 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: 20s - loss: 0.0268
 40/115 [=========>....................] - ETA: 0s - loss: 0.2066 
 79/115 [===================>..........] - ETA: 0s - loss: 0.3727
115/115 [==============================] - 0s 1ms/step - loss: 0.3533
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1534
 41/115 [=========>....................] - ETA: 0s - loss: 0.2060
 80/115 [===================>..........] - ETA: 0s - loss: 0.2489
115/115 [==============================] - ETA: 0s - loss: 0.2954
115/115 [==============================] - 0s 1ms/step - loss: 0.2954
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2067
 36/115 [========>.....................] - ETA: 0s - loss: 0.2050
 74/115 [==================>...........] - ETA: 0s - loss: 0.2412
111/115 [===========================>..] - ETA: 0s - loss: 0.2680
115/115 [==============================] - 0s 1ms/step - loss: 0.2655
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1146
 39/115 [=========>....................] - ETA: 0s - loss: 0.2205
 79/115 [===================>..........] - ETA: 0s - loss: 0.2349
115/115 [==============================] - 0s 1ms/step - loss: 0.2416
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.0927
 41/115 [=========>....................] - ETA: 0s - loss: 0.2345
 78/115 [===================>..........] - ETA: 0s - loss: 0.2329
111/115 [===========================>..] - ETA: 0s - loss: 0.2196
115/115 [==============================] - 0s 1ms/step - loss: 0.2197
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2892
 35/115 [========>.....................] - ETA: 0s - loss: 0.1707
 75/115 [==================>...........] - ETA: 0s - loss: 0.1882
114/115 [============================>.] - ETA: 0s - loss: 0.2030
115/115 [==============================] - 0s 1ms/step - loss: 0.2026
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1036
 40/115 [=========>....................] - ETA: 0s - loss: 0.2163
 79/115 [===================>..........] - ETA: 0s - loss: 0.1971
115/115 [==============================] - 0s 1ms/step - loss: 0.1918
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0760
 40/115 [=========>....................] - ETA: 0s - loss: 0.1687
 78/115 [===================>..........] - ETA: 0s - loss: 0.1957
115/115 [==============================] - 0s 1ms/step - loss: 0.1865
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1016
 40/115 [=========>....................] - ETA: 0s - loss: 0.1832
 79/115 [===================>..........] - ETA: 0s - loss: 0.1744
115/115 [==============================] - 0s 1ms/step - loss: 0.1829
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.0796
 38/115 [========>.....................] - ETA: 0s - loss: 0.2005
 76/115 [==================>...........] - ETA: 0s - loss: 0.1883
115/115 [==============================] - 0s 1ms/step - loss: 0.1765
-> 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: 0.446

-> 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: 284, 3
GB fn, tp: 8, 3
GB f1 score: 0.353
GB cohens kappa score: 0.336

-> test with 'KNN'
KNN tn, fp: 267, 20
KNN fn, tp: 4, 7
KNN f1 score: 0.368
KNN cohens kappa score: 0.333


------ 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: 26s - loss: 2.1724
 34/115 [=======>......................] - ETA: 0s - loss: 0.4401 
 70/115 [=================>............] - ETA: 0s - loss: 0.4290
104/115 [==========================>...] - ETA: 0s - loss: 0.3899
115/115 [==============================] - 0s 1ms/step - loss: 0.3711
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1177
 35/115 [========>.....................] - ETA: 0s - loss: 0.3622
 70/115 [=================>............] - ETA: 0s - loss: 0.3479
109/115 [===========================>..] - ETA: 0s - loss: 0.3179
115/115 [==============================] - 0s 1ms/step - loss: 0.3120
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4232
 38/115 [========>.....................] - ETA: 0s - loss: 0.3170
 77/115 [===================>..........] - ETA: 0s - loss: 0.2890
115/115 [==============================] - ETA: 0s - loss: 0.2731
115/115 [==============================] - 0s 1ms/step - loss: 0.2731
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1380
 38/115 [========>.....................] - ETA: 0s - loss: 0.2080
 76/115 [==================>...........] - ETA: 0s - loss: 0.2356
113/115 [============================>.] - ETA: 0s - loss: 0.2416
115/115 [==============================] - 0s 1ms/step - loss: 0.2414
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1353
 36/115 [========>.....................] - ETA: 0s - loss: 0.1838
 75/115 [==================>...........] - ETA: 0s - loss: 0.2053
112/115 [============================>.] - ETA: 0s - loss: 0.2174
115/115 [==============================] - 0s 1ms/step - loss: 0.2163
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.0719
 39/115 [=========>....................] - ETA: 0s - loss: 0.1998
 77/115 [===================>..........] - ETA: 0s - loss: 0.1928
111/115 [===========================>..] - ETA: 0s - loss: 0.1949
115/115 [==============================] - 0s 1ms/step - loss: 0.1942
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.0894
 37/115 [========>.....................] - ETA: 0s - loss: 0.1896
 73/115 [==================>...........] - ETA: 0s - loss: 0.1831
110/115 [===========================>..] - ETA: 0s - loss: 0.1792
115/115 [==============================] - 0s 1ms/step - loss: 0.1802
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0860
 39/115 [=========>....................] - ETA: 0s - loss: 0.1869
 76/115 [==================>...........] - ETA: 0s - loss: 0.1817
111/115 [===========================>..] - ETA: 0s - loss: 0.1765
115/115 [==============================] - 0s 1ms/step - loss: 0.1752
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2896
 39/115 [=========>....................] - ETA: 0s - loss: 0.1694
 79/115 [===================>..........] - ETA: 0s - loss: 0.1671
115/115 [==============================] - 0s 1ms/step - loss: 0.1715
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1436
 39/115 [=========>....................] - ETA: 0s - loss: 0.1439
 77/115 [===================>..........] - ETA: 0s - loss: 0.1520
110/115 [===========================>..] - ETA: 0s - loss: 0.1684
115/115 [==============================] - 0s 1ms/step - loss: 0.1691
-> test with GAN.predict
GAN tn, fp: 269, 16
GAN fn, tp: 2, 5
GAN f1 score: 0.357
GAN cohens kappa score: 0.333

-> test with 'LR'
LR tn, fp: 251, 34
LR fn, tp: 2, 5
LR f1 score: 0.217
LR cohens kappa score: 0.184
LR average precision score: 0.430

-> test with 'RF'
RF tn, fp: 282, 3
RF fn, tp: 5, 2
RF f1 score: 0.333
RF cohens kappa score: 0.320

-> test with 'GB'
GB tn, fp: 275, 10
GB fn, tp: 5, 2
GB f1 score: 0.211
GB cohens kappa score: 0.186

-> test with 'KNN'
KNN tn, fp: 261, 24
KNN fn, tp: 2, 5
KNN f1 score: 0.278
KNN cohens kappa score: 0.249


====== 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: 23s - loss: 0.3770
 38/115 [========>.....................] - ETA: 0s - loss: 0.1930 
 77/115 [===================>..........] - ETA: 0s - loss: 0.1924
114/115 [============================>.] - ETA: 0s - loss: 0.1886
115/115 [==============================] - 0s 1ms/step - loss: 0.1890
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1138
 40/115 [=========>....................] - ETA: 0s - loss: 0.2082
 79/115 [===================>..........] - ETA: 0s - loss: 0.1873
115/115 [==============================] - 0s 1ms/step - loss: 0.1804
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.0819
 41/115 [=========>....................] - ETA: 0s - loss: 0.1720
 77/115 [===================>..........] - ETA: 0s - loss: 0.1722
115/115 [==============================] - 0s 1ms/step - loss: 0.1700
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1000
 37/115 [========>.....................] - ETA: 0s - loss: 0.1899
 75/115 [==================>...........] - ETA: 0s - loss: 0.1715
111/115 [===========================>..] - ETA: 0s - loss: 0.1691
115/115 [==============================] - 0s 1ms/step - loss: 0.1694
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.0192
 34/115 [=======>......................] - ETA: 0s - loss: 0.1238
 73/115 [==================>...........] - ETA: 0s - loss: 0.1688
112/115 [============================>.] - ETA: 0s - loss: 0.1610
115/115 [==============================] - 0s 1ms/step - loss: 0.1625
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.0303
 39/115 [=========>....................] - ETA: 0s - loss: 0.1576
 77/115 [===================>..........] - ETA: 0s - loss: 0.1629
115/115 [==============================] - 0s 1ms/step - loss: 0.1657
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2415
 38/115 [========>.....................] - ETA: 0s - loss: 0.1758
 75/115 [==================>...........] - ETA: 0s - loss: 0.1629
110/115 [===========================>..] - ETA: 0s - loss: 0.1581
115/115 [==============================] - 0s 1ms/step - loss: 0.1574
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0289
 36/115 [========>.....................] - ETA: 0s - loss: 0.1595
 73/115 [==================>...........] - ETA: 0s - loss: 0.1497
112/115 [============================>.] - ETA: 0s - loss: 0.1613
115/115 [==============================] - 0s 1ms/step - loss: 0.1610
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1625
 38/115 [========>.....................] - ETA: 0s - loss: 0.1536
 77/115 [===================>..........] - ETA: 0s - loss: 0.1516
115/115 [==============================] - ETA: 0s - loss: 0.1548
115/115 [==============================] - 0s 1ms/step - loss: 0.1548
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1302
 38/115 [========>.....................] - ETA: 0s - loss: 0.1475
 74/115 [==================>...........] - ETA: 0s - loss: 0.1406
112/115 [============================>.] - ETA: 0s - loss: 0.1505
115/115 [==============================] - 0s 1ms/step - loss: 0.1532
-> test with GAN.predict
GAN tn, fp: 278, 9
GAN fn, tp: 6, 5
GAN f1 score: 0.400
GAN cohens kappa score: 0.374

-> test with 'LR'
LR tn, fp: 260, 27
LR fn, tp: 5, 6
LR f1 score: 0.273
LR cohens kappa score: 0.230
LR average precision score: 0.455

-> test with 'RF'
RF tn, fp: 286, 1
RF fn, tp: 8, 3
RF f1 score: 0.400
RF cohens kappa score: 0.388

-> test with 'GB'
GB tn, fp: 283, 4
GB fn, tp: 8, 3
GB f1 score: 0.333
GB cohens kappa score: 0.314

-> test with 'KNN'
KNN tn, fp: 274, 13
KNN fn, tp: 7, 4
KNN f1 score: 0.286
KNN cohens kappa score: 0.252


------ 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: 23s - loss: 0.0568
 39/115 [=========>....................] - ETA: 0s - loss: 0.5663 
 77/115 [===================>..........] - ETA: 0s - loss: 0.4218
115/115 [==============================] - 0s 1ms/step - loss: 0.4020
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2467
 39/115 [=========>....................] - ETA: 0s - loss: 0.3054
 74/115 [==================>...........] - ETA: 0s - loss: 0.3425
112/115 [============================>.] - ETA: 0s - loss: 0.3234
115/115 [==============================] - 0s 1ms/step - loss: 0.3195
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4859
 39/115 [=========>....................] - ETA: 0s - loss: 0.2581
 77/115 [===================>..........] - ETA: 0s - loss: 0.2876
114/115 [============================>.] - ETA: 0s - loss: 0.2733
115/115 [==============================] - 0s 1ms/step - loss: 0.2737
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1778
 38/115 [========>.....................] - ETA: 0s - loss: 0.2614
 77/115 [===================>..........] - ETA: 0s - loss: 0.2538
115/115 [==============================] - ETA: 0s - loss: 0.2454
115/115 [==============================] - 0s 1ms/step - loss: 0.2454
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.5294
 31/115 [=======>......................] - ETA: 0s - loss: 0.2155
 66/115 [================>.............] - ETA: 0s - loss: 0.2236
101/115 [=========================>....] - ETA: 0s - loss: 0.2268
115/115 [==============================] - 0s 2ms/step - loss: 0.2234
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1848
 31/115 [=======>......................] - ETA: 0s - loss: 0.1611
 56/115 [=============>................] - ETA: 0s - loss: 0.1881
 94/115 [=======================>......] - ETA: 0s - loss: 0.2046
115/115 [==============================] - 0s 2ms/step - loss: 0.2089
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2043
 38/115 [========>.....................] - ETA: 0s - loss: 0.2077
 74/115 [==================>...........] - ETA: 0s - loss: 0.1967
110/115 [===========================>..] - ETA: 0s - loss: 0.1968
115/115 [==============================] - 0s 1ms/step - loss: 0.1986
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0878
 38/115 [========>.....................] - ETA: 0s - loss: 0.1965
 76/115 [==================>...........] - ETA: 0s - loss: 0.1952
106/115 [==========================>...] - ETA: 0s - loss: 0.1945
115/115 [==============================] - 0s 1ms/step - loss: 0.1930
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2437
 38/115 [========>.....................] - ETA: 0s - loss: 0.1815
 73/115 [==================>...........] - ETA: 0s - loss: 0.1823
111/115 [===========================>..] - ETA: 0s - loss: 0.1912
115/115 [==============================] - 0s 1ms/step - loss: 0.1910
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.1357
 40/115 [=========>....................] - ETA: 0s - loss: 0.1967
 78/115 [===================>..........] - ETA: 0s - loss: 0.1890
115/115 [==============================] - 0s 1ms/step - loss: 0.1895
-> test with GAN.predict
GAN tn, fp: 272, 15
GAN fn, tp: 5, 6
GAN f1 score: 0.375
GAN cohens kappa score: 0.343

-> test with 'LR'
LR tn, fp: 254, 33
LR fn, tp: 2, 9
LR f1 score: 0.340
LR cohens kappa score: 0.299
LR average precision score: 0.393

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

-> test with 'GB'
GB tn, fp: 280, 7
GB fn, tp: 8, 3
GB f1 score: 0.286
GB cohens kappa score: 0.260

-> test with 'KNN'
KNN tn, fp: 264, 23
KNN fn, tp: 3, 8
KNN f1 score: 0.381
KNN cohens kappa score: 0.345


------ 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: 19s - loss: 0.3120
 38/115 [========>.....................] - ETA: 0s - loss: 0.2177 
 74/115 [==================>...........] - ETA: 0s - loss: 0.3383
111/115 [===========================>..] - ETA: 0s - loss: 0.3180
115/115 [==============================] - 0s 1ms/step - loss: 0.3117
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.0695
 38/115 [========>.....................] - ETA: 0s - loss: 0.2191
 76/115 [==================>...........] - ETA: 0s - loss: 0.3013
114/115 [============================>.] - ETA: 0s - loss: 0.2841
115/115 [==============================] - 0s 1ms/step - loss: 0.2830
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.4093
 39/115 [=========>....................] - ETA: 0s - loss: 0.3217
 76/115 [==================>...........] - ETA: 0s - loss: 0.2846
110/115 [===========================>..] - ETA: 0s - loss: 0.2737
115/115 [==============================] - 0s 1ms/step - loss: 0.2686
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.1780
 37/115 [========>.....................] - ETA: 0s - loss: 0.2041
 71/115 [=================>............] - ETA: 0s - loss: 0.2399
109/115 [===========================>..] - ETA: 0s - loss: 0.2548
115/115 [==============================] - 0s 1ms/step - loss: 0.2517
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1082
 39/115 [=========>....................] - ETA: 0s - loss: 0.2557
 76/115 [==================>...........] - ETA: 0s - loss: 0.2432
112/115 [============================>.] - ETA: 0s - loss: 0.2391
115/115 [==============================] - 0s 1ms/step - loss: 0.2407
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.2429
 39/115 [=========>....................] - ETA: 0s - loss: 0.2003
 76/115 [==================>...........] - ETA: 0s - loss: 0.2448
114/115 [============================>.] - ETA: 0s - loss: 0.2344
115/115 [==============================] - 0s 1ms/step - loss: 0.2337
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1023
 35/115 [========>.....................] - ETA: 0s - loss: 0.2244
 63/115 [===============>..............] - ETA: 0s - loss: 0.2116
 95/115 [=======================>......] - ETA: 0s - loss: 0.2069
115/115 [==============================] - 0s 2ms/step - loss: 0.2222
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.4157
 39/115 [=========>....................] - ETA: 0s - loss: 0.2069
 76/115 [==================>...........] - ETA: 0s - loss: 0.1982
114/115 [============================>.] - ETA: 0s - loss: 0.2149
115/115 [==============================] - 0s 1ms/step - loss: 0.2145
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0714
 37/115 [========>.....................] - ETA: 0s - loss: 0.1913
 76/115 [==================>...........] - ETA: 0s - loss: 0.2035
115/115 [==============================] - ETA: 0s - loss: 0.2066
115/115 [==============================] - 0s 1ms/step - loss: 0.2066
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.0348
 41/115 [=========>....................] - ETA: 0s - loss: 0.1735
 81/115 [====================>.........] - ETA: 0s - loss: 0.1921
115/115 [==============================] - 0s 1ms/step - loss: 0.2015
-> 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: 244, 43
LR fn, tp: 2, 9
LR f1 score: 0.286
LR cohens kappa score: 0.239
LR average precision score: 0.241

-> 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: 8, 3
GB f1 score: 0.300
GB cohens kappa score: 0.276

-> test with 'KNN'
KNN tn, fp: 257, 30
KNN fn, tp: 1, 10
KNN f1 score: 0.392
KNN cohens kappa score: 0.355


------ 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: 21s - loss: 0.1697
 36/115 [========>.....................] - ETA: 0s - loss: 0.2248 
 73/115 [==================>...........] - ETA: 0s - loss: 0.2344
107/115 [==========================>...] - ETA: 0s - loss: 0.2210
115/115 [==============================] - 0s 1ms/step - loss: 0.2170
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2847
 36/115 [========>.....................] - ETA: 0s - loss: 0.1953
 71/115 [=================>............] - ETA: 0s - loss: 0.2000
106/115 [==========================>...] - ETA: 0s - loss: 0.2042
115/115 [==============================] - 0s 1ms/step - loss: 0.2011
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1864
 39/115 [=========>....................] - ETA: 0s - loss: 0.1925
 73/115 [==================>...........] - ETA: 0s - loss: 0.1951
106/115 [==========================>...] - ETA: 0s - loss: 0.1962
115/115 [==============================] - 0s 1ms/step - loss: 0.1940
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2746
 36/115 [========>.....................] - ETA: 0s - loss: 0.2112
 67/115 [================>.............] - ETA: 0s - loss: 0.2025
 99/115 [========================>.....] - ETA: 0s - loss: 0.2034
115/115 [==============================] - 0s 2ms/step - loss: 0.1951
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.0800
 35/115 [========>.....................] - ETA: 0s - loss: 0.1749
 70/115 [=================>............] - ETA: 0s - loss: 0.1880
104/115 [==========================>...] - ETA: 0s - loss: 0.1908
115/115 [==============================] - 0s 1ms/step - loss: 0.1919
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1602
 36/115 [========>.....................] - ETA: 0s - loss: 0.1784
 67/115 [================>.............] - ETA: 0s - loss: 0.1950
 99/115 [========================>.....] - ETA: 0s - loss: 0.1917
115/115 [==============================] - 0s 2ms/step - loss: 0.1879
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1963
 33/115 [=======>......................] - ETA: 0s - loss: 0.1816
 64/115 [===============>..............] - ETA: 0s - loss: 0.1829
 98/115 [========================>.....] - ETA: 0s - loss: 0.1861
115/115 [==============================] - 0s 2ms/step - loss: 0.1904
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1619
 38/115 [========>.....................] - ETA: 0s - loss: 0.1680
 74/115 [==================>...........] - ETA: 0s - loss: 0.1880
108/115 [===========================>..] - ETA: 0s - loss: 0.1893
115/115 [==============================] - 0s 1ms/step - loss: 0.1881
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.2035
 35/115 [========>.....................] - ETA: 0s - loss: 0.1364
 72/115 [=================>............] - ETA: 0s - loss: 0.1823
106/115 [==========================>...] - ETA: 0s - loss: 0.1897
115/115 [==============================] - 0s 1ms/step - loss: 0.1857
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2641
 37/115 [========>.....................] - ETA: 0s - loss: 0.1823
 73/115 [==================>...........] - ETA: 0s - loss: 0.1792
104/115 [==========================>...] - ETA: 0s - loss: 0.1727
115/115 [==============================] - 0s 1ms/step - loss: 0.1831
-> test with GAN.predict
GAN tn, fp: 268, 19
GAN fn, tp: 5, 6
GAN f1 score: 0.333
GAN cohens kappa score: 0.297

-> test with 'LR'
LR tn, fp: 244, 43
LR fn, tp: 3, 8
LR f1 score: 0.258
LR cohens kappa score: 0.210
LR average precision score: 0.287

-> test with 'RF'
RF tn, fp: 281, 6
RF fn, tp: 7, 4
RF f1 score: 0.381
RF cohens kappa score: 0.358

-> test with 'GB'
GB tn, fp: 276, 11
GB fn, tp: 6, 5
GB f1 score: 0.370
GB cohens kappa score: 0.342

-> test with 'KNN'
KNN tn, fp: 256, 31
KNN fn, tp: 4, 7
KNN f1 score: 0.286
KNN cohens kappa score: 0.242


------ 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: 23s - loss: 0.3222
 29/115 [======>.......................] - ETA: 0s - loss: 0.3096 
 67/115 [================>.............] - ETA: 0s - loss: 0.2834
105/115 [==========================>...] - ETA: 0s - loss: 0.2984
115/115 [==============================] - 0s 1ms/step - loss: 0.2899
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2392
 39/115 [=========>....................] - ETA: 0s - loss: 0.2551
 77/115 [===================>..........] - ETA: 0s - loss: 0.2896
115/115 [==============================] - ETA: 0s - loss: 0.2777
115/115 [==============================] - 0s 1ms/step - loss: 0.2777
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1439
 38/115 [========>.....................] - ETA: 0s - loss: 0.3078
 77/115 [===================>..........] - ETA: 0s - loss: 0.2571
108/115 [===========================>..] - ETA: 0s - loss: 0.2563
115/115 [==============================] - 0s 1ms/step - loss: 0.2634
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.7580
 31/115 [=======>......................] - ETA: 0s - loss: 0.3064
 62/115 [===============>..............] - ETA: 0s - loss: 0.2542
 97/115 [========================>.....] - ETA: 0s - loss: 0.2480
115/115 [==============================] - 0s 2ms/step - loss: 0.2544
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2343
 39/115 [=========>....................] - ETA: 0s - loss: 0.2843
 78/115 [===================>..........] - ETA: 0s - loss: 0.2562
115/115 [==============================] - ETA: 0s - loss: 0.2483
115/115 [==============================] - 0s 1ms/step - loss: 0.2483
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3370
 35/115 [========>.....................] - ETA: 0s - loss: 0.2480
 73/115 [==================>...........] - ETA: 0s - loss: 0.2474
112/115 [============================>.] - ETA: 0s - loss: 0.2406
115/115 [==============================] - 0s 1ms/step - loss: 0.2405
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1943
 38/115 [========>.....................] - ETA: 0s - loss: 0.2217
 76/115 [==================>...........] - ETA: 0s - loss: 0.2283
114/115 [============================>.] - ETA: 0s - loss: 0.2276
115/115 [==============================] - 0s 1ms/step - loss: 0.2337
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1981
 38/115 [========>.....................] - ETA: 0s - loss: 0.2330
 75/115 [==================>...........] - ETA: 0s - loss: 0.2305
112/115 [============================>.] - ETA: 0s - loss: 0.2312
115/115 [==============================] - 0s 1ms/step - loss: 0.2304
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.6159
 37/115 [========>.....................] - ETA: 0s - loss: 0.2325
 75/115 [==================>...........] - ETA: 0s - loss: 0.2166
112/115 [============================>.] - ETA: 0s - loss: 0.2238
115/115 [==============================] - 0s 1ms/step - loss: 0.2242
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.4937
 36/115 [========>.....................] - ETA: 0s - loss: 0.2284
 71/115 [=================>............] - ETA: 0s - loss: 0.2300
108/115 [===========================>..] - ETA: 0s - loss: 0.2203
115/115 [==============================] - 0s 1ms/step - loss: 0.2184
-> test with GAN.predict
GAN tn, fp: 259, 26
GAN fn, tp: 2, 5
GAN f1 score: 0.263
GAN cohens kappa score: 0.233

-> test with 'LR'
LR tn, fp: 250, 35
LR fn, tp: 2, 5
LR f1 score: 0.213
LR cohens kappa score: 0.179
LR average precision score: 0.441

-> test with 'RF'
RF tn, fp: 278, 7
RF fn, tp: 3, 4
RF f1 score: 0.444
RF cohens kappa score: 0.428

-> test with 'GB'
GB tn, fp: 278, 7
GB fn, tp: 4, 3
GB f1 score: 0.353
GB cohens kappa score: 0.334

-> test with 'KNN'
KNN tn, fp: 259, 26
KNN fn, tp: 2, 5
KNN f1 score: 0.263
KNN cohens kappa score: 0.233


====== 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: 18s - loss: 0.0555
 39/115 [=========>....................] - ETA: 0s - loss: 0.2459 
 79/115 [===================>..........] - ETA: 0s - loss: 0.2220
115/115 [==============================] - 0s 1ms/step - loss: 0.2143
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2967
 41/115 [=========>....................] - ETA: 0s - loss: 0.2136
 78/115 [===================>..........] - ETA: 0s - loss: 0.2182
115/115 [==============================] - 0s 1ms/step - loss: 0.2079
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1074
 40/115 [=========>....................] - ETA: 0s - loss: 0.2270
 79/115 [===================>..........] - ETA: 0s - loss: 0.2126
115/115 [==============================] - 0s 1ms/step - loss: 0.2027
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2458
 39/115 [=========>....................] - ETA: 0s - loss: 0.1996
 77/115 [===================>..........] - ETA: 0s - loss: 0.2108
114/115 [============================>.] - ETA: 0s - loss: 0.1977
115/115 [==============================] - 0s 1ms/step - loss: 0.1969
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2317
 34/115 [=======>......................] - ETA: 0s - loss: 0.1983
 62/115 [===============>..............] - ETA: 0s - loss: 0.2084
 99/115 [========================>.....] - ETA: 0s - loss: 0.1956
115/115 [==============================] - 0s 2ms/step - loss: 0.1937
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1418
 35/115 [========>.....................] - ETA: 0s - loss: 0.2128
 71/115 [=================>............] - ETA: 0s - loss: 0.1916
110/115 [===========================>..] - ETA: 0s - loss: 0.1936
115/115 [==============================] - 0s 1ms/step - loss: 0.1924
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.2798
 40/115 [=========>....................] - ETA: 0s - loss: 0.1780
 79/115 [===================>..........] - ETA: 0s - loss: 0.1909
115/115 [==============================] - 0s 1ms/step - loss: 0.1909
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.2956
 39/115 [=========>....................] - ETA: 0s - loss: 0.2072
 77/115 [===================>..........] - ETA: 0s - loss: 0.1839
115/115 [==============================] - ETA: 0s - loss: 0.1879
115/115 [==============================] - 0s 1ms/step - loss: 0.1879
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1073
 40/115 [=========>....................] - ETA: 0s - loss: 0.2068
 79/115 [===================>..........] - ETA: 0s - loss: 0.1949
115/115 [==============================] - 0s 1ms/step - loss: 0.1880
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2587
 39/115 [=========>....................] - ETA: 0s - loss: 0.1842
 78/115 [===================>..........] - ETA: 0s - loss: 0.1938
115/115 [==============================] - 0s 1ms/step - loss: 0.1889
-> test with GAN.predict
GAN tn, fp: 266, 21
GAN fn, tp: 5, 6
GAN f1 score: 0.316
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: 0.241

-> 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: 283, 4
GB fn, tp: 9, 2
GB f1 score: 0.235
GB cohens kappa score: 0.215

-> test with 'KNN'
KNN tn, fp: 265, 22
KNN fn, tp: 3, 8
KNN f1 score: 0.390
KNN cohens kappa score: 0.355


------ 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: 20s - loss: 0.0549
 39/115 [=========>....................] - ETA: 0s - loss: 0.2307 
 78/115 [===================>..........] - ETA: 0s - loss: 0.2192
115/115 [==============================] - ETA: 0s - loss: 0.2117
115/115 [==============================] - 0s 1ms/step - loss: 0.2117
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.1841
 40/115 [=========>....................] - ETA: 0s - loss: 0.1787
 79/115 [===================>..........] - ETA: 0s - loss: 0.1932
115/115 [==============================] - 0s 1ms/step - loss: 0.1924
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.0871
 41/115 [=========>....................] - ETA: 0s - loss: 0.2018
 80/115 [===================>..........] - ETA: 0s - loss: 0.2072
115/115 [==============================] - 0s 1ms/step - loss: 0.1943
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.2680
 36/115 [========>.....................] - ETA: 0s - loss: 0.2051
 74/115 [==================>...........] - ETA: 0s - loss: 0.1848
113/115 [============================>.] - ETA: 0s - loss: 0.1858
115/115 [==============================] - 0s 1ms/step - loss: 0.1856
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.2303
 40/115 [=========>....................] - ETA: 0s - loss: 0.1807
 80/115 [===================>..........] - ETA: 0s - loss: 0.1927
115/115 [==============================] - 0s 1ms/step - loss: 0.1876
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1420
 41/115 [=========>....................] - ETA: 0s - loss: 0.1931
 80/115 [===================>..........] - ETA: 0s - loss: 0.1850
115/115 [==============================] - 0s 1ms/step - loss: 0.1860
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1134
 40/115 [=========>....................] - ETA: 0s - loss: 0.1619
 79/115 [===================>..........] - ETA: 0s - loss: 0.1824
115/115 [==============================] - 0s 1ms/step - loss: 0.1789
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1488
 40/115 [=========>....................] - ETA: 0s - loss: 0.1916
 78/115 [===================>..........] - ETA: 0s - loss: 0.1886
115/115 [==============================] - 0s 1ms/step - loss: 0.1773
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.0507
 38/115 [========>.....................] - ETA: 0s - loss: 0.1682
 76/115 [==================>...........] - ETA: 0s - loss: 0.1772
112/115 [============================>.] - ETA: 0s - loss: 0.1791
115/115 [==============================] - 0s 1ms/step - loss: 0.1787
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2133
 38/115 [========>.....................] - ETA: 0s - loss: 0.1467
 77/115 [===================>..........] - ETA: 0s - loss: 0.1637
113/115 [============================>.] - ETA: 0s - loss: 0.1759
115/115 [==============================] - 0s 1ms/step - loss: 0.1760
-> test with GAN.predict
GAN tn, fp: 251, 36
GAN fn, tp: 4, 7
GAN f1 score: 0.259
GAN cohens kappa score: 0.213

-> test with 'LR'
LR tn, fp: 240, 47
LR fn, tp: 2, 9
LR f1 score: 0.269
LR cohens kappa score: 0.221
LR average precision score: 0.515

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

-> test with 'GB'
GB tn, fp: 277, 10
GB fn, tp: 6, 5
GB f1 score: 0.385
GB cohens kappa score: 0.357

-> test with 'KNN'
KNN tn, fp: 259, 28
KNN fn, tp: 1, 10
KNN f1 score: 0.408
KNN cohens kappa score: 0.372


------ 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: 23s - loss: 0.1849
 39/115 [=========>....................] - ETA: 0s - loss: 0.1864 
 79/115 [===================>..........] - ETA: 0s - loss: 0.1873
115/115 [==============================] - 0s 1ms/step - loss: 0.1974
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2664
 40/115 [=========>....................] - ETA: 0s - loss: 0.1697
 78/115 [===================>..........] - ETA: 0s - loss: 0.1926
115/115 [==============================] - 0s 1ms/step - loss: 0.1879
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.2204
 40/115 [=========>....................] - ETA: 0s - loss: 0.1845
 80/115 [===================>..........] - ETA: 0s - loss: 0.1838
115/115 [==============================] - 0s 1ms/step - loss: 0.1741
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.0686
 38/115 [========>.....................] - ETA: 0s - loss: 0.1635
 77/115 [===================>..........] - ETA: 0s - loss: 0.1694
115/115 [==============================] - ETA: 0s - loss: 0.1715
115/115 [==============================] - 0s 1ms/step - loss: 0.1715
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1866
 39/115 [=========>....................] - ETA: 0s - loss: 0.1674
 79/115 [===================>..........] - ETA: 0s - loss: 0.1716
115/115 [==============================] - 0s 1ms/step - loss: 0.1743
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1103
 38/115 [========>.....................] - ETA: 0s - loss: 0.1881
 77/115 [===================>..........] - ETA: 0s - loss: 0.1766
115/115 [==============================] - ETA: 0s - loss: 0.1662
115/115 [==============================] - 0s 1ms/step - loss: 0.1662
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.0208
 39/115 [=========>....................] - ETA: 0s - loss: 0.1581
 77/115 [===================>..........] - ETA: 0s - loss: 0.1656
115/115 [==============================] - ETA: 0s - loss: 0.1677
115/115 [==============================] - 0s 1ms/step - loss: 0.1677
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.1700
 37/115 [========>.....................] - ETA: 0s - loss: 0.1746
 76/115 [==================>...........] - ETA: 0s - loss: 0.1661
111/115 [===========================>..] - ETA: 0s - loss: 0.1699
115/115 [==============================] - 0s 1ms/step - loss: 0.1687
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.3147
 33/115 [=======>......................] - ETA: 0s - loss: 0.1735
 63/115 [===============>..............] - ETA: 0s - loss: 0.1680
101/115 [=========================>....] - ETA: 0s - loss: 0.1678
115/115 [==============================] - 0s 1ms/step - loss: 0.1651
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.0376
 41/115 [=========>....................] - ETA: 0s - loss: 0.1658
 78/115 [===================>..........] - ETA: 0s - loss: 0.1611
115/115 [==============================] - 0s 1ms/step - loss: 0.1625
-> test with GAN.predict
GAN tn, fp: 268, 19
GAN fn, tp: 4, 7
GAN f1 score: 0.378
GAN cohens kappa score: 0.344

-> test with 'LR'
LR tn, fp: 257, 30
LR fn, tp: 3, 8
LR f1 score: 0.327
LR cohens kappa score: 0.286
LR average precision score: 0.485

-> 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: 285, 2
GB fn, tp: 7, 4
GB f1 score: 0.471
GB cohens kappa score: 0.456

-> test with 'KNN'
KNN tn, fp: 260, 27
KNN fn, tp: 5, 6
KNN f1 score: 0.273
KNN cohens kappa score: 0.230


------ 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: 20s - loss: 0.0987
 38/115 [========>.....................] - ETA: 0s - loss: 0.1885 
 75/115 [==================>...........] - ETA: 0s - loss: 0.2035
112/115 [============================>.] - ETA: 0s - loss: 0.2100
115/115 [==============================] - 0s 1ms/step - loss: 0.2117
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2121
 39/115 [=========>....................] - ETA: 0s - loss: 0.2283
 75/115 [==================>...........] - ETA: 0s - loss: 0.2042
112/115 [============================>.] - ETA: 0s - loss: 0.2025
115/115 [==============================] - 0s 1ms/step - loss: 0.2012
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.0316
 30/115 [======>.......................] - ETA: 0s - loss: 0.1765
 65/115 [===============>..............] - ETA: 0s - loss: 0.1796
 99/115 [========================>.....] - ETA: 0s - loss: 0.1848
115/115 [==============================] - 0s 2ms/step - loss: 0.1894
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.0879
 32/115 [=======>......................] - ETA: 0s - loss: 0.1633
 68/115 [================>.............] - ETA: 0s - loss: 0.1904
103/115 [=========================>....] - ETA: 0s - loss: 0.1909
115/115 [==============================] - 0s 2ms/step - loss: 0.1865
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.3334
 31/115 [=======>......................] - ETA: 0s - loss: 0.1960
 67/115 [================>.............] - ETA: 0s - loss: 0.1867
105/115 [==========================>...] - ETA: 0s - loss: 0.1880
115/115 [==============================] - 0s 1ms/step - loss: 0.1836
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.3212
 38/115 [========>.....................] - ETA: 0s - loss: 0.1639
 75/115 [==================>...........] - ETA: 0s - loss: 0.1778
112/115 [============================>.] - ETA: 0s - loss: 0.1832
115/115 [==============================] - 0s 1ms/step - loss: 0.1843
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.1342
 40/115 [=========>....................] - ETA: 0s - loss: 0.1772
 78/115 [===================>..........] - ETA: 0s - loss: 0.1853
108/115 [===========================>..] - ETA: 0s - loss: 0.1859
115/115 [==============================] - 0s 1ms/step - loss: 0.1843
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.3671
 39/115 [=========>....................] - ETA: 0s - loss: 0.1862
 76/115 [==================>...........] - ETA: 0s - loss: 0.1739
113/115 [============================>.] - ETA: 0s - loss: 0.1837
115/115 [==============================] - 0s 1ms/step - loss: 0.1830
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1495
 37/115 [========>.....................] - ETA: 0s - loss: 0.1610
 74/115 [==================>...........] - ETA: 0s - loss: 0.1747
113/115 [============================>.] - ETA: 0s - loss: 0.1784
115/115 [==============================] - 0s 1ms/step - loss: 0.1793
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.2611
 37/115 [========>.....................] - ETA: 0s - loss: 0.1735
 74/115 [==================>...........] - ETA: 0s - loss: 0.1756
110/115 [===========================>..] - ETA: 0s - loss: 0.1766
115/115 [==============================] - 0s 1ms/step - loss: 0.1787
-> test with GAN.predict
GAN tn, fp: 272, 15
GAN fn, tp: 5, 6
GAN f1 score: 0.375
GAN cohens kappa score: 0.343

-> test with 'LR'
LR tn, fp: 250, 37
LR fn, tp: 1, 10
LR f1 score: 0.345
LR cohens kappa score: 0.303
LR average precision score: 0.488

-> 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: 280, 7
GB fn, tp: 7, 4
GB f1 score: 0.364
GB cohens kappa score: 0.339

-> 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 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: 22s - loss: 0.1364
 38/115 [========>.....................] - ETA: 0s - loss: 0.2224 
 72/115 [=================>............] - ETA: 0s - loss: 0.1889
108/115 [===========================>..] - ETA: 0s - loss: 0.2038
115/115 [==============================] - 0s 1ms/step - loss: 0.2049
Epoch 2/10

  1/115 [..............................] - ETA: 0s - loss: 0.2399
 38/115 [========>.....................] - ETA: 0s - loss: 0.1999
 75/115 [==================>...........] - ETA: 0s - loss: 0.1837
107/115 [==========================>...] - ETA: 0s - loss: 0.1902
115/115 [==============================] - 0s 1ms/step - loss: 0.1916
Epoch 3/10

  1/115 [..............................] - ETA: 0s - loss: 0.1964
 37/115 [========>.....................] - ETA: 0s - loss: 0.1920
 75/115 [==================>...........] - ETA: 0s - loss: 0.1779
105/115 [==========================>...] - ETA: 0s - loss: 0.1759
115/115 [==============================] - 0s 1ms/step - loss: 0.1743
Epoch 4/10

  1/115 [..............................] - ETA: 0s - loss: 0.0662
 32/115 [=======>......................] - ETA: 0s - loss: 0.1671
 66/115 [================>.............] - ETA: 0s - loss: 0.1750
103/115 [=========================>....] - ETA: 0s - loss: 0.1632
115/115 [==============================] - 0s 1ms/step - loss: 0.1698
Epoch 5/10

  1/115 [..............................] - ETA: 0s - loss: 0.1044
 38/115 [========>.....................] - ETA: 0s - loss: 0.1878
 75/115 [==================>...........] - ETA: 0s - loss: 0.1752
111/115 [===========================>..] - ETA: 0s - loss: 0.1652
115/115 [==============================] - 0s 1ms/step - loss: 0.1631
Epoch 6/10

  1/115 [..............................] - ETA: 0s - loss: 0.1298
 36/115 [========>.....................] - ETA: 0s - loss: 0.1648
 71/115 [=================>............] - ETA: 0s - loss: 0.1793
105/115 [==========================>...] - ETA: 0s - loss: 0.1725
115/115 [==============================] - 0s 1ms/step - loss: 0.1647
Epoch 7/10

  1/115 [..............................] - ETA: 0s - loss: 0.3475
 36/115 [========>.....................] - ETA: 0s - loss: 0.1477
 69/115 [=================>............] - ETA: 0s - loss: 0.1513
105/115 [==========================>...] - ETA: 0s - loss: 0.1635
115/115 [==============================] - 0s 1ms/step - loss: 0.1609
Epoch 8/10

  1/115 [..............................] - ETA: 0s - loss: 0.0534
 37/115 [========>.....................] - ETA: 0s - loss: 0.1529
 73/115 [==================>...........] - ETA: 0s - loss: 0.1624
107/115 [==========================>...] - ETA: 0s - loss: 0.1552
115/115 [==============================] - 0s 1ms/step - loss: 0.1593
Epoch 9/10

  1/115 [..............................] - ETA: 0s - loss: 0.1078
 37/115 [========>.....................] - ETA: 0s - loss: 0.1649
 72/115 [=================>............] - ETA: 0s - loss: 0.1516
106/115 [==========================>...] - ETA: 0s - loss: 0.1552
115/115 [==============================] - 0s 1ms/step - loss: 0.1574
Epoch 10/10

  1/115 [..............................] - ETA: 0s - loss: 0.3904
 36/115 [========>.....................] - ETA: 0s - loss: 0.1829
 72/115 [=================>............] - ETA: 0s - loss: 0.1754
108/115 [===========================>..] - ETA: 0s - loss: 0.1659
115/115 [==============================] - 0s 1ms/step - loss: 0.1636
-> test with GAN.predict
GAN tn, fp: 262, 23
GAN fn, tp: 3, 4
GAN f1 score: 0.235
GAN cohens kappa score: 0.205

-> test with 'LR'
LR tn, fp: 249, 36
LR fn, tp: 3, 4
LR f1 score: 0.170
LR cohens kappa score: 0.135
LR average precision score: 0.172

-> test with 'RF'
RF tn, fp: 280, 5
RF fn, tp: 6, 1
RF f1 score: 0.154
RF cohens kappa score: 0.135

-> test with 'GB'
GB tn, fp: 278, 7
GB fn, tp: 4, 3
GB f1 score: 0.353
GB cohens kappa score: 0.334

-> test with 'KNN'
KNN tn, fp: 269, 16
KNN fn, tp: 2, 5
KNN f1 score: 0.357
KNN cohens kappa score: 0.333

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 260, 47
LR fn, tp: 6, 10
LR f1 score: 0.345
LR cohens kappa score: 0.303
LR average precision score: 0.616


average:
LR tn, fp: 250.0, 36.6
LR fn, tp: 2.64, 7.56
LR f1 score: 0.276
LR cohens kappa score: 0.234
LR average precision score: 0.379


minimum:
LR tn, fp: 240, 27
LR fn, tp: 1, 4
LR f1 score: 0.170
LR cohens kappa score: 0.135
LR average precision score: 0.172


-----[ RF ]-----
maximum:
RF tn, fp: 286, 9
RF fn, tp: 11, 5
RF f1 score: 0.500
RF cohens kappa score: 0.483


average:
RF tn, fp: 283.12, 3.48
RF fn, tp: 7.52, 2.68
RF f1 score: 0.314
RF cohens kappa score: 0.298


minimum:
RF tn, fp: 278, 1
RF fn, tp: 3, 0
RF f1 score: 0.000
RF cohens kappa score: -0.006


-----[ GB ]-----
maximum:
GB tn, fp: 286, 12
GB fn, tp: 10, 7
GB f1 score: 0.519
GB cohens kappa score: 0.496


average:
GB tn, fp: 279.96, 6.64
GB fn, tp: 6.68, 3.52
GB f1 score: 0.333
GB cohens kappa score: 0.311


minimum:
GB tn, fp: 275, 1
GB fn, tp: 4, 1
GB f1 score: 0.154
GB cohens kappa score: 0.144


-----[ KNN ]-----
maximum:
KNN tn, fp: 274, 45
KNN fn, tp: 7, 10
KNN f1 score: 0.462
KNN cohens kappa score: 0.431


average:
KNN tn, fp: 261.04, 25.56
KNN fn, tp: 2.76, 7.44
KNN f1 score: 0.345
KNN cohens kappa score: 0.309


minimum:
KNN tn, fp: 242, 13
KNN fn, tp: 1, 4
KNN f1 score: 0.250
KNN cohens kappa score: 0.201


-----[ GAN ]-----
maximum:
GAN tn, fp: 278, 36
GAN fn, tp: 7, 10
GAN f1 score: 0.467
GAN cohens kappa score: 0.441


average:
GAN tn, fp: 263.96, 22.64
GAN fn, tp: 3.72, 6.48
GAN f1 score: 0.334
GAN cohens kappa score: 0.299


minimum:
GAN tn, fp: 251, 9
GAN fn, tp: 1, 4
GAN f1 score: 0.205
GAN cohens kappa score: 0.161