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folding_hypothyroid.log

folding_hypothyroid.log 279 KB
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
  1. 

  2. 

  3. ///////////////////////////////////////////
    4. 

  4. // Running convGAN-proximary-full on folding_hypothyroid
    5. 

  5. ///////////////////////////////////////////
    6. 

  6. 

  7. Load 'data_input/folding_hypothyroid'
    8. 

  8. from pickle file
    9. 

  9. non empty cut in data_input/folding_hypothyroid! (1 points)
    10. 

  10. Data loaded.
    11. 

  11. -> Shuffling data
    12. 

  12. ### Start exercise for synthetic point generator
    13. 

  13. 

  14. ====== Step 1/5 =======
    15. 

  15. -> Shuffling data
    16. 

  16. -> Spliting data to slices
    17. 

  17. 

  18. ------ Step 1/5: Slice 1/5 -------
    19. 

  19. -> Reset the GAN
    20. 

  20. -> Train generator for synthetic samples
    21. 

  21. -> create 2289 synthetic samples
    22. 

  22. -> retrain GAN for predict
    23. 

  23. Epoch 1/10
    24. 

  24. 
  1/241 [..............................] - ETA: 40s - loss: 1.5312
 42/241 [====>.........................] - ETA: 0s - loss: 0.3137 
 83/241 [=========>....................] - ETA: 0s - loss: 0.2147
123/241 [==============>...............] - ETA: 0s - loss: 0.1823
164/241 [===================>..........] - ETA: 0s - loss: 0.1669
203/241 [========================>.....] - ETA: 0s - loss: 0.1585
241/241 [==============================] - 0s 1ms/step - loss: 0.1465
    25. 

  25. Epoch 2/10
    26. 

  26. 
  1/241 [..............................] - ETA: 0s - loss: 0.1748
 42/241 [====>.........................] - ETA: 0s - loss: 0.0761
 83/241 [=========>....................] - ETA: 0s - loss: 0.0746
124/241 [==============>...............] - ETA: 0s - loss: 0.0632
164/241 [===================>..........] - ETA: 0s - loss: 0.0645
205/241 [========================>.....] - ETA: 0s - loss: 0.0625
241/241 [==============================] - 0s 1ms/step - loss: 0.0631
    27. 

  27. Epoch 3/10
    28. 

  28. 
  1/241 [..............................] - ETA: 0s - loss: 4.9179e-04
 38/241 [===>..........................] - ETA: 0s - loss: 0.0589    
 79/241 [========>.....................] - ETA: 0s - loss: 0.0446
120/241 [=============>................] - ETA: 0s - loss: 0.0471
158/241 [==================>...........] - ETA: 0s - loss: 0.0495
200/241 [=======================>......] - ETA: 0s - loss: 0.0500
240/241 [============================>.] - ETA: 0s - loss: 0.0483
241/241 [==============================] - 0s 1ms/step - loss: 0.0481
    29. 

  29. Epoch 4/10
    30. 

  30. 
  1/241 [..............................] - ETA: 0s - loss: 3.3122e-04
 42/241 [====>.........................] - ETA: 0s - loss: 0.0474    
 84/241 [=========>....................] - ETA: 0s - loss: 0.0351
123/241 [==============>...............] - ETA: 0s - loss: 0.0295
164/241 [===================>..........] - ETA: 0s - loss: 0.0316
204/241 [========================>.....] - ETA: 0s - loss: 0.0367
241/241 [==============================] - 0s 1ms/step - loss: 0.0371
    31. 

  31. Epoch 5/10
    32. 

  32. 
  1/241 [..............................] - ETA: 0s - loss: 0.0148
 41/241 [====>.........................] - ETA: 0s - loss: 0.0349
 81/241 [=========>....................] - ETA: 0s - loss: 0.0343
121/241 [==============>...............] - ETA: 0s - loss: 0.0315
162/241 [===================>..........] - ETA: 0s - loss: 0.0331
203/241 [========================>.....] - ETA: 0s - loss: 0.0352
241/241 [==============================] - 0s 1ms/step - loss: 0.0359
    33. 

  33. Epoch 6/10
    34. 

  34. 
  1/241 [..............................] - ETA: 0s - loss: 5.1234e-05
 42/241 [====>.........................] - ETA: 0s - loss: 0.0218    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0254
122/241 [==============>...............] - ETA: 0s - loss: 0.0250
162/241 [===================>..........] - ETA: 0s - loss: 0.0274
203/241 [========================>.....] - ETA: 0s - loss: 0.0300
241/241 [==============================] - 0s 1ms/step - loss: 0.0326
    35. 

  35. Epoch 7/10
    36. 

  36. 
  1/241 [..............................] - ETA: 0s - loss: 0.0256
 35/241 [===>..........................] - ETA: 0s - loss: 0.0324
 68/241 [=======>......................] - ETA: 0s - loss: 0.0304
103/241 [===========>..................] - ETA: 0s - loss: 0.0238
143/241 [================>.............] - ETA: 0s - loss: 0.0244
185/241 [======================>.......] - ETA: 0s - loss: 0.0253
225/241 [===========================>..] - ETA: 0s - loss: 0.0301
241/241 [==============================] - 0s 1ms/step - loss: 0.0295
    37. 

  37. Epoch 8/10
    38. 

  38. 
  1/241 [..............................] - ETA: 0s - loss: 0.0071
 40/241 [===>..........................] - ETA: 0s - loss: 0.0201
 80/241 [========>.....................] - ETA: 0s - loss: 0.0205
120/241 [=============>................] - ETA: 0s - loss: 0.0248
160/241 [==================>...........] - ETA: 0s - loss: 0.0240
201/241 [========================>.....] - ETA: 0s - loss: 0.0260
241/241 [==============================] - 0s 1ms/step - loss: 0.0290
    39. 

  39. Epoch 9/10
    40. 

  40. 
  1/241 [..............................] - ETA: 0s - loss: 0.0159
 42/241 [====>.........................] - ETA: 0s - loss: 0.0161
 83/241 [=========>....................] - ETA: 0s - loss: 0.0272
124/241 [==============>...............] - ETA: 0s - loss: 0.0286
166/241 [===================>..........] - ETA: 0s - loss: 0.0248
203/241 [========================>.....] - ETA: 0s - loss: 0.0268
241/241 [==============================] - 0s 1ms/step - loss: 0.0279
    41. 

  41. Epoch 10/10
    42. 

  42. 
  1/241 [..............................] - ETA: 0s - loss: 0.0117
 40/241 [===>..........................] - ETA: 0s - loss: 0.0208
 81/241 [=========>....................] - ETA: 0s - loss: 0.0244
122/241 [==============>...............] - ETA: 0s - loss: 0.0281
163/241 [===================>..........] - ETA: 0s - loss: 0.0268
205/241 [========================>.....] - ETA: 0s - loss: 0.0260
241/241 [==============================] - 0s 1ms/step - loss: 0.0264
    43. 

  43. -> test with GAN.predict
    44. 

  44. GAN tn, fp: 594, 9
    45. 

  45. GAN fn, tp: 8, 23
    46. 

  46. GAN f1 score: 0.730
    47. 

  47. GAN cohens kappa score: 0.716
    48. 

  48. 

  49. -> test with 'LR'
    50. 

  50. LR tn, fp: 556, 47
    51. 

  51. LR fn, tp: 7, 24
    52. 

  52. LR f1 score: 0.471
    53. 

  53. LR cohens kappa score: 0.432
    54. 

  54. LR average precision score: 0.516
    55. 

  55. 

  56. -> test with 'RF'
    57. 

  57. RF tn, fp: 601, 2
    58. 

  58. RF fn, tp: 7, 24
    59. 

  59. RF f1 score: 0.842
    60. 

  60. RF cohens kappa score: 0.835
    61. 

  61. 

  62. -> test with 'GB'
    63. 

  63. GB tn, fp: 598, 5
    64. 

  64. GB fn, tp: 6, 25
    65. 

  65. GB f1 score: 0.820
    66. 

  66. GB cohens kappa score: 0.811
    67. 

  67. 

  68. -> test with 'KNN'
    69. 

  69. KNN tn, fp: 595, 8
    70. 

  70. KNN fn, tp: 10, 21
    71. 

  71. KNN f1 score: 0.700
    72. 

  72. KNN cohens kappa score: 0.685
    73. 

  73. 

  74. 

  75. ------ Step 1/5: Slice 2/5 -------
    76. 

  76. -> Reset the GAN
    77. 

  77. -> Train generator for synthetic samples
    78. 

  78. -> create 2289 synthetic samples
    79. 

  79. -> retrain GAN for predict
    80. 

  80. Epoch 1/10
    81. 

  81. 
  1/241 [..............................] - ETA: 42s - loss: 1.5458
 41/241 [====>.........................] - ETA: 0s - loss: 0.2415 
 82/241 [=========>....................] - ETA: 0s - loss: 0.1733
123/241 [==============>...............] - ETA: 0s - loss: 0.1760
163/241 [===================>..........] - ETA: 0s - loss: 0.1651
202/241 [========================>.....] - ETA: 0s - loss: 0.1565
241/241 [==============================] - ETA: 0s - loss: 0.1448
241/241 [==============================] - 0s 1ms/step - loss: 0.1448
    82. 

  82. Epoch 2/10
    83. 

  83. 
  1/241 [..............................] - ETA: 0s - loss: 0.0271
 42/241 [====>.........................] - ETA: 0s - loss: 0.0961
 83/241 [=========>....................] - ETA: 0s - loss: 0.0646
122/241 [==============>...............] - ETA: 0s - loss: 0.0663
162/241 [===================>..........] - ETA: 0s - loss: 0.0571
201/241 [========================>.....] - ETA: 0s - loss: 0.0563
240/241 [============================>.] - ETA: 0s - loss: 0.0528
241/241 [==============================] - 0s 1ms/step - loss: 0.0532
    84. 

  84. Epoch 3/10
    85. 

  85. 
  1/241 [..............................] - ETA: 0s - loss: 0.2563
 41/241 [====>.........................] - ETA: 0s - loss: 0.0243
 81/241 [=========>....................] - ETA: 0s - loss: 0.0397
120/241 [=============>................] - ETA: 0s - loss: 0.0412
156/241 [==================>...........] - ETA: 0s - loss: 0.0371
196/241 [=======================>......] - ETA: 0s - loss: 0.0374
237/241 [============================>.] - ETA: 0s - loss: 0.0370
241/241 [==============================] - 0s 1ms/step - loss: 0.0376
    86. 

  86. Epoch 4/10
    87. 

  87. 
  1/241 [..............................] - ETA: 0s - loss: 0.0031
 40/241 [===>..........................] - ETA: 0s - loss: 0.0262
 79/241 [========>.....................] - ETA: 0s - loss: 0.0364
116/241 [=============>................] - ETA: 0s - loss: 0.0360
151/241 [=================>............] - ETA: 0s - loss: 0.0338
190/241 [======================>.......] - ETA: 0s - loss: 0.0332
225/241 [===========================>..] - ETA: 0s - loss: 0.0356
241/241 [==============================] - 0s 1ms/step - loss: 0.0356
    88. 

  88. Epoch 5/10
    89. 

  89. 
  1/241 [..............................] - ETA: 0s - loss: 0.0403
 41/241 [====>.........................] - ETA: 0s - loss: 0.0220
 82/241 [=========>....................] - ETA: 0s - loss: 0.0222
123/241 [==============>...............] - ETA: 0s - loss: 0.0257
164/241 [===================>..........] - ETA: 0s - loss: 0.0274
203/241 [========================>.....] - ETA: 0s - loss: 0.0262
241/241 [==============================] - 0s 1ms/step - loss: 0.0284
    90. 

  90. Epoch 6/10
    91. 

  91. 
  1/241 [..............................] - ETA: 0s - loss: 0.0267
 41/241 [====>.........................] - ETA: 0s - loss: 0.0193
 79/241 [========>.....................] - ETA: 0s - loss: 0.0203
113/241 [=============>................] - ETA: 0s - loss: 0.0209
152/241 [=================>............] - ETA: 0s - loss: 0.0270
193/241 [=======================>......] - ETA: 0s - loss: 0.0256
234/241 [============================>.] - ETA: 0s - loss: 0.0248
241/241 [==============================] - 0s 1ms/step - loss: 0.0252
    92. 

  92. Epoch 7/10
    93. 

  93. 
  1/241 [..............................] - ETA: 0s - loss: 0.0142
 37/241 [===>..........................] - ETA: 0s - loss: 0.0420
 72/241 [=======>......................] - ETA: 0s - loss: 0.0355
112/241 [============>.................] - ETA: 0s - loss: 0.0327
152/241 [=================>............] - ETA: 0s - loss: 0.0301
191/241 [======================>.......] - ETA: 0s - loss: 0.0284
230/241 [===========================>..] - ETA: 0s - loss: 0.0272
241/241 [==============================] - 0s 1ms/step - loss: 0.0268
    94. 

  94. Epoch 8/10
    95. 

  95. 
  1/241 [..............................] - ETA: 0s - loss: 0.1435
 40/241 [===>..........................] - ETA: 0s - loss: 0.0136
 79/241 [========>.....................] - ETA: 0s - loss: 0.0223
119/241 [=============>................] - ETA: 0s - loss: 0.0213
158/241 [==================>...........] - ETA: 0s - loss: 0.0213
197/241 [=======================>......] - ETA: 0s - loss: 0.0240
237/241 [============================>.] - ETA: 0s - loss: 0.0238
241/241 [==============================] - 0s 1ms/step - loss: 0.0234
    96. 

  96. Epoch 9/10
    97. 

  97. 
  1/241 [..............................] - ETA: 0s - loss: 0.0940
 40/241 [===>..........................] - ETA: 0s - loss: 0.0339
 81/241 [=========>....................] - ETA: 0s - loss: 0.0253
120/241 [=============>................] - ETA: 0s - loss: 0.0234
157/241 [==================>...........] - ETA: 0s - loss: 0.0219
196/241 [=======================>......] - ETA: 0s - loss: 0.0224
236/241 [============================>.] - ETA: 0s - loss: 0.0237
241/241 [==============================] - 0s 1ms/step - loss: 0.0235
    98. 

  98. Epoch 10/10
    99. 

  99. 
  1/241 [..............................] - ETA: 0s - loss: 0.1154
 41/241 [====>.........................] - ETA: 0s - loss: 0.0301
 80/241 [========>.....................] - ETA: 0s - loss: 0.0216
119/241 [=============>................] - ETA: 0s - loss: 0.0194
158/241 [==================>...........] - ETA: 0s - loss: 0.0203
197/241 [=======================>......] - ETA: 0s - loss: 0.0200
238/241 [============================>.] - ETA: 0s - loss: 0.0200
241/241 [==============================] - 0s 1ms/step - loss: 0.0198
    100. 

  100. -> test with GAN.predict
    101. 

  101. GAN tn, fp: 594, 9
    102. 

  102. GAN fn, tp: 12, 19
    103. 

  103. GAN f1 score: 0.644
    104. 

  104. GAN cohens kappa score: 0.627
    105. 

  105. 

  106. -> test with 'LR'
    107. 

  107. LR tn, fp: 543, 60
    108. 

  108. LR fn, tp: 5, 26
    109. 

  109. LR f1 score: 0.444
    110. 

  110. LR cohens kappa score: 0.401
    111. 

  111. LR average precision score: 0.496
    112. 

  112. 

  113. -> test with 'RF'
    114. 

  114. RF tn, fp: 596, 7
    115. 

  115. RF fn, tp: 4, 27
    116. 

  116. RF f1 score: 0.831
    117. 

  117. RF cohens kappa score: 0.822
    118. 

  118. 

  119. -> test with 'GB'
    120. 

  120. GB tn, fp: 592, 11
    121. 

  121. GB fn, tp: 3, 28
    122. 

  122. GB f1 score: 0.800
    123. 

  123. GB cohens kappa score: 0.788
    124. 

  124. 

  125. -> test with 'KNN'
    126. 

  126. KNN tn, fp: 590, 13
    127. 

  127. KNN fn, tp: 8, 23
    128. 

  128. KNN f1 score: 0.687
    129. 

  129. KNN cohens kappa score: 0.669
    130. 

  130. 

  131. 

  132. ------ Step 1/5: Slice 3/5 -------
    133. 

  133. -> Reset the GAN
    134. 

  134. -> Train generator for synthetic samples
    135. 

  135. -> create 2289 synthetic samples
    136. 

  136. -> retrain GAN for predict
    137. 

  137. Epoch 1/10
    138. 

  138. 
  1/241 [..............................] - ETA: 42s - loss: 0.6290
 41/241 [====>.........................] - ETA: 0s - loss: 0.2860 
 76/241 [========>.....................] - ETA: 0s - loss: 0.2280
111/241 [============>.................] - ETA: 0s - loss: 0.1911
147/241 [=================>............] - ETA: 0s - loss: 0.1718
181/241 [=====================>........] - ETA: 0s - loss: 0.1651
218/241 [==========================>...] - ETA: 0s - loss: 0.1529
241/241 [==============================] - 1s 1ms/step - loss: 0.1440
    139. 

  139. Epoch 2/10
    140. 

  140. 
  1/241 [..............................] - ETA: 0s - loss: 0.3470
 40/241 [===>..........................] - ETA: 0s - loss: 0.0798
 79/241 [========>.....................] - ETA: 0s - loss: 0.0701
119/241 [=============>................] - ETA: 0s - loss: 0.0671
160/241 [==================>...........] - ETA: 0s - loss: 0.0606
197/241 [=======================>......] - ETA: 0s - loss: 0.0674
236/241 [============================>.] - ETA: 0s - loss: 0.0649
241/241 [==============================] - 0s 1ms/step - loss: 0.0644
    141. 

  141. Epoch 3/10
    142. 

  142. 
  1/241 [..............................] - ETA: 0s - loss: 0.4797
 41/241 [====>.........................] - ETA: 0s - loss: 0.0500
 79/241 [========>.....................] - ETA: 0s - loss: 0.0456
119/241 [=============>................] - ETA: 0s - loss: 0.0515
160/241 [==================>...........] - ETA: 0s - loss: 0.0514
199/241 [=======================>......] - ETA: 0s - loss: 0.0489
239/241 [============================>.] - ETA: 0s - loss: 0.0517
241/241 [==============================] - 0s 1ms/step - loss: 0.0517
    143. 

  143. Epoch 4/10
    144. 

  144. 
  1/241 [..............................] - ETA: 0s - loss: 0.0014
 41/241 [====>.........................] - ETA: 0s - loss: 0.0392
 81/241 [=========>....................] - ETA: 0s - loss: 0.0462
122/241 [==============>...............] - ETA: 0s - loss: 0.0425
163/241 [===================>..........] - ETA: 0s - loss: 0.0406
204/241 [========================>.....] - ETA: 0s - loss: 0.0378
241/241 [==============================] - 0s 1ms/step - loss: 0.0409
    145. 

  145. Epoch 5/10
    146. 

  146. 
  1/241 [..............................] - ETA: 0s - loss: 0.0022
 39/241 [===>..........................] - ETA: 0s - loss: 0.0518
 78/241 [========>.....................] - ETA: 0s - loss: 0.0386
118/241 [=============>................] - ETA: 0s - loss: 0.0318
156/241 [==================>...........] - ETA: 0s - loss: 0.0337
195/241 [=======================>......] - ETA: 0s - loss: 0.0329
235/241 [============================>.] - ETA: 0s - loss: 0.0330
241/241 [==============================] - 0s 1ms/step - loss: 0.0330
    147. 

  147. Epoch 6/10
    148. 

  148. 
  1/241 [..............................] - ETA: 0s - loss: 4.2619e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0547    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0423
121/241 [==============>...............] - ETA: 0s - loss: 0.0373
161/241 [===================>..........] - ETA: 0s - loss: 0.0375
199/241 [=======================>......] - ETA: 0s - loss: 0.0357
238/241 [============================>.] - ETA: 0s - loss: 0.0346
241/241 [==============================] - 0s 1ms/step - loss: 0.0343
    149. 

  149. Epoch 7/10
    150. 

  150. 
  1/241 [..............................] - ETA: 0s - loss: 0.0012
 41/241 [====>.........................] - ETA: 0s - loss: 0.0189
 78/241 [========>.....................] - ETA: 0s - loss: 0.0218
118/241 [=============>................] - ETA: 0s - loss: 0.0229
159/241 [==================>...........] - ETA: 0s - loss: 0.0267
197/241 [=======================>......] - ETA: 0s - loss: 0.0293
234/241 [============================>.] - ETA: 0s - loss: 0.0278
241/241 [==============================] - 0s 1ms/step - loss: 0.0289
    151. 

  151. Epoch 8/10
    152. 

  152. 
  1/241 [..............................] - ETA: 0s - loss: 0.1061
 38/241 [===>..........................] - ETA: 0s - loss: 0.0222
 69/241 [=======>......................] - ETA: 0s - loss: 0.0279
103/241 [===========>..................] - ETA: 0s - loss: 0.0326
137/241 [================>.............] - ETA: 0s - loss: 0.0315
174/241 [====================>.........] - ETA: 0s - loss: 0.0283
212/241 [=========================>....] - ETA: 0s - loss: 0.0276
241/241 [==============================] - 0s 1ms/step - loss: 0.0286
    153. 

  153. Epoch 9/10
    154. 

  154. 
  1/241 [..............................] - ETA: 0s - loss: 0.0022
 37/241 [===>..........................] - ETA: 0s - loss: 0.0246
 76/241 [========>.....................] - ETA: 0s - loss: 0.0207
116/241 [=============>................] - ETA: 0s - loss: 0.0257
156/241 [==================>...........] - ETA: 0s - loss: 0.0231
196/241 [=======================>......] - ETA: 0s - loss: 0.0244
237/241 [============================>.] - ETA: 0s - loss: 0.0259
241/241 [==============================] - 0s 1ms/step - loss: 0.0256
    155. 

  155. Epoch 10/10
    156. 

  156. 
  1/241 [..............................] - ETA: 0s - loss: 0.0287
 38/241 [===>..........................] - ETA: 0s - loss: 0.0184
 79/241 [========>.....................] - ETA: 0s - loss: 0.0206
118/241 [=============>................] - ETA: 0s - loss: 0.0258
159/241 [==================>...........] - ETA: 0s - loss: 0.0255
196/241 [=======================>......] - ETA: 0s - loss: 0.0231
237/241 [============================>.] - ETA: 0s - loss: 0.0236
241/241 [==============================] - 0s 1ms/step - loss: 0.0239
    157. 

  157. -> test with GAN.predict
    158. 

  158. GAN tn, fp: 589, 14
    159. 

  159. GAN fn, tp: 10, 21
    160. 

  160. GAN f1 score: 0.636
    161. 

  161. GAN cohens kappa score: 0.616
    162. 

  162. 

  163. -> test with 'LR'
    164. 

  164. LR tn, fp: 535, 68
    165. 

  165. LR fn, tp: 9, 22
    166. 

  166. LR f1 score: 0.364
    167. 

  167. LR cohens kappa score: 0.314
    168. 

  168. LR average precision score: 0.376
    169. 

  169. 

  170. -> test with 'RF'
    171. 

  171. RF tn, fp: 600, 3
    172. 

  172. RF fn, tp: 6, 25
    173. 

  173. RF f1 score: 0.847
    174. 

  174. RF cohens kappa score: 0.840
    175. 

  175. 

  176. -> test with 'GB'
    177. 

  177. GB tn, fp: 597, 6
    178. 

  178. GB fn, tp: 3, 28
    179. 

  179. GB f1 score: 0.862
    180. 

  180. GB cohens kappa score: 0.854
    181. 

  181. 

  182. -> test with 'KNN'
    183. 

  183. KNN tn, fp: 587, 16
    184. 

  184. KNN fn, tp: 10, 21
    185. 

  185. KNN f1 score: 0.618
    186. 

  186. KNN cohens kappa score: 0.596
    187. 

  187. 

  188. 

  189. ------ Step 1/5: Slice 4/5 -------
    190. 

  190. -> Reset the GAN
    191. 

  191. -> Train generator for synthetic samples
    192. 

  192. -> create 2289 synthetic samples
    193. 

  193. -> retrain GAN for predict
    194. 

  194. Epoch 1/10
    195. 

  195. 
  1/241 [..............................] - ETA: 56s - loss: 0.7439
 37/241 [===>..........................] - ETA: 0s - loss: 0.4364 
 75/241 [========>.....................] - ETA: 0s - loss: 0.2985
115/241 [=============>................] - ETA: 0s - loss: 0.2360
154/241 [==================>...........] - ETA: 0s - loss: 0.1913
187/241 [======================>.......] - ETA: 0s - loss: 0.1836
215/241 [=========================>....] - ETA: 0s - loss: 0.1657
241/241 [==============================] - 1s 1ms/step - loss: 0.1566
    196. 

  196. Epoch 2/10
    197. 

  197. 
  1/241 [..............................] - ETA: 0s - loss: 0.0098
 32/241 [==>...........................] - ETA: 0s - loss: 0.0486
 66/241 [=======>......................] - ETA: 0s - loss: 0.0543
 99/241 [===========>..................] - ETA: 0s - loss: 0.0501
133/241 [===============>..............] - ETA: 0s - loss: 0.0539
166/241 [===================>..........] - ETA: 0s - loss: 0.0565
199/241 [=======================>......] - ETA: 0s - loss: 0.0550
234/241 [============================>.] - ETA: 0s - loss: 0.0542
241/241 [==============================] - 0s 2ms/step - loss: 0.0534
    198. 

  198. Epoch 3/10
    199. 

  199. 
  1/241 [..............................] - ETA: 0s - loss: 0.0110
 37/241 [===>..........................] - ETA: 0s - loss: 0.0369
 75/241 [========>.....................] - ETA: 0s - loss: 0.0455
112/241 [============>.................] - ETA: 0s - loss: 0.0453
147/241 [=================>............] - ETA: 0s - loss: 0.0458
182/241 [=====================>........] - ETA: 0s - loss: 0.0400
218/241 [==========================>...] - ETA: 0s - loss: 0.0380
241/241 [==============================] - 0s 1ms/step - loss: 0.0374
    200. 

  200. Epoch 4/10
    201. 

  201. 
  1/241 [..............................] - ETA: 0s - loss: 0.0066
 36/241 [===>..........................] - ETA: 0s - loss: 0.0382
 69/241 [=======>......................] - ETA: 0s - loss: 0.0259
106/241 [============>.................] - ETA: 0s - loss: 0.0233
144/241 [================>.............] - ETA: 0s - loss: 0.0266
176/241 [====================>.........] - ETA: 0s - loss: 0.0316
210/241 [=========================>....] - ETA: 0s - loss: 0.0357
241/241 [==============================] - 0s 1ms/step - loss: 0.0354
    202. 

  202. Epoch 5/10
    203. 

  203. 
  1/241 [..............................] - ETA: 0s - loss: 0.0023
 37/241 [===>..........................] - ETA: 0s - loss: 0.0316
 72/241 [=======>......................] - ETA: 0s - loss: 0.0304
108/241 [============>.................] - ETA: 0s - loss: 0.0295
143/241 [================>.............] - ETA: 0s - loss: 0.0264
176/241 [====================>.........] - ETA: 0s - loss: 0.0293
211/241 [=========================>....] - ETA: 0s - loss: 0.0313
241/241 [==============================] - 0s 1ms/step - loss: 0.0305
    204. 

  204. Epoch 6/10
    205. 

  205. 
  1/241 [..............................] - ETA: 0s - loss: 0.0096
 41/241 [====>.........................] - ETA: 0s - loss: 0.0210
 80/241 [========>.....................] - ETA: 0s - loss: 0.0207
115/241 [=============>................] - ETA: 0s - loss: 0.0236
151/241 [=================>............] - ETA: 0s - loss: 0.0266
186/241 [======================>.......] - ETA: 0s - loss: 0.0292
221/241 [==========================>...] - ETA: 0s - loss: 0.0282
241/241 [==============================] - 0s 1ms/step - loss: 0.0289
    206. 

  206. Epoch 7/10
    207. 

  207. 
  1/241 [..............................] - ETA: 0s - loss: 0.0024
 38/241 [===>..........................] - ETA: 0s - loss: 0.0204
 74/241 [========>.....................] - ETA: 0s - loss: 0.0245
110/241 [============>.................] - ETA: 0s - loss: 0.0222
144/241 [================>.............] - ETA: 0s - loss: 0.0253
177/241 [=====================>........] - ETA: 0s - loss: 0.0267
214/241 [=========================>....] - ETA: 0s - loss: 0.0303
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
    208. 

  208. Epoch 8/10
    209. 

  209. 
  1/241 [..............................] - ETA: 0s - loss: 0.0022
 30/241 [==>...........................] - ETA: 0s - loss: 0.0225
 59/241 [======>.......................] - ETA: 0s - loss: 0.0223
 93/241 [==========>...................] - ETA: 0s - loss: 0.0257
128/241 [==============>...............] - ETA: 0s - loss: 0.0252
165/241 [===================>..........] - ETA: 0s - loss: 0.0252
201/241 [========================>.....] - ETA: 0s - loss: 0.0269
237/241 [============================>.] - ETA: 0s - loss: 0.0248
241/241 [==============================] - 0s 2ms/step - loss: 0.0254
    210. 

  210. Epoch 9/10
    211. 

  211. 
  1/241 [..............................] - ETA: 0s - loss: 0.0357
 42/241 [====>.........................] - ETA: 0s - loss: 0.0162
 81/241 [=========>....................] - ETA: 0s - loss: 0.0209
116/241 [=============>................] - ETA: 0s - loss: 0.0208
152/241 [=================>............] - ETA: 0s - loss: 0.0204
187/241 [======================>.......] - ETA: 0s - loss: 0.0226
221/241 [==========================>...] - ETA: 0s - loss: 0.0232
241/241 [==============================] - 0s 1ms/step - loss: 0.0233
    212. 

  212. Epoch 10/10
    213. 

  213. 
  1/241 [..............................] - ETA: 0s - loss: 0.0061
 35/241 [===>..........................] - ETA: 0s - loss: 0.0316
 71/241 [=======>......................] - ETA: 0s - loss: 0.0326
106/241 [============>.................] - ETA: 0s - loss: 0.0286
142/241 [================>.............] - ETA: 0s - loss: 0.0285
175/241 [====================>.........] - ETA: 0s - loss: 0.0256
209/241 [=========================>....] - ETA: 0s - loss: 0.0256
241/241 [==============================] - 0s 1ms/step - loss: 0.0249
    214. 

  214. -> test with GAN.predict
    215. 

  215. GAN tn, fp: 586, 17
    216. 

  216. GAN fn, tp: 8, 23
    217. 

  217. GAN f1 score: 0.648
    218. 

  218. GAN cohens kappa score: 0.627
    219. 

  219. 

  220. -> test with 'LR'
    221. 

  221. LR tn, fp: 527, 76
    222. 

  222. LR fn, tp: 5, 26
    223. 

  223. LR f1 score: 0.391
    224. 

  224. LR cohens kappa score: 0.342
    225. 

  225. LR average precision score: 0.400
    226. 

  226. 

  227. -> test with 'RF'
    228. 

  228. RF tn, fp: 601, 2
    229. 

  229. RF fn, tp: 14, 17
    230. 

  230. RF f1 score: 0.680
    231. 

  231. RF cohens kappa score: 0.668
    232. 

  232. 

  233. -> test with 'GB'
    234. 

  234. GB tn, fp: 599, 4
    235. 

  235. GB fn, tp: 10, 21
    236. 

  236. GB f1 score: 0.750
    237. 

  237. GB cohens kappa score: 0.739
    238. 

  238. 

  239. -> test with 'KNN'
    240. 

  240. KNN tn, fp: 590, 13
    241. 

  241. KNN fn, tp: 10, 21
    242. 

  242. KNN f1 score: 0.646
    243. 

  243. KNN cohens kappa score: 0.627
    244. 

  244. 

  245. 

  246. ------ Step 1/5: Slice 5/5 -------
    247. 

  247. -> Reset the GAN
    248. 

  248. -> Train generator for synthetic samples
    249. 

  249. -> create 2288 synthetic samples
    250. 

  250. -> retrain GAN for predict
    251. 

  251. Epoch 1/10
    252. 

  252. 
  1/242 [..............................] - ETA: 41s - loss: 1.5249e-05
 41/242 [====>.........................] - ETA: 0s - loss: 0.2763     
 80/242 [========>.....................] - ETA: 0s - loss: 0.2187
119/242 [=============>................] - ETA: 0s - loss: 0.1679
160/242 [==================>...........] - ETA: 0s - loss: 0.1571
200/242 [=======================>......] - ETA: 0s - loss: 0.1415
240/242 [============================>.] - ETA: 0s - loss: 0.1295
242/242 [==============================] - 0s 1ms/step - loss: 0.1291
    253. 

  253. Epoch 2/10
    254. 

  254. 
  1/242 [..............................] - ETA: 0s - loss: 0.0517
 43/242 [====>.........................] - ETA: 0s - loss: 0.0561
 84/242 [=========>....................] - ETA: 0s - loss: 0.0507
123/242 [==============>...............] - ETA: 0s - loss: 0.0526
162/242 [===================>..........] - ETA: 0s - loss: 0.0566
203/242 [========================>.....] - ETA: 0s - loss: 0.0572
242/242 [==============================] - 0s 1ms/step - loss: 0.0553
    255. 

  255. Epoch 3/10
    256. 

  256. 
  1/242 [..............................] - ETA: 0s - loss: 7.7498e-04
 41/242 [====>.........................] - ETA: 0s - loss: 0.0409    
 79/242 [========>.....................] - ETA: 0s - loss: 0.0450
117/242 [=============>................] - ETA: 0s - loss: 0.0412
155/242 [==================>...........] - ETA: 0s - loss: 0.0453
193/242 [======================>.......] - ETA: 0s - loss: 0.0480
229/242 [===========================>..] - ETA: 0s - loss: 0.0469
242/242 [==============================] - 0s 1ms/step - loss: 0.0471
    257. 

  257. Epoch 4/10
    258. 

  258. 
  1/242 [..............................] - ETA: 0s - loss: 8.0211e-04
 40/242 [===>..........................] - ETA: 0s - loss: 0.0509    
 80/242 [========>.....................] - ETA: 0s - loss: 0.0579
120/242 [=============>................] - ETA: 0s - loss: 0.0476
159/242 [==================>...........] - ETA: 0s - loss: 0.0465
199/242 [=======================>......] - ETA: 0s - loss: 0.0433
239/242 [============================>.] - ETA: 0s - loss: 0.0443
242/242 [==============================] - 0s 1ms/step - loss: 0.0443
    259. 

  259. Epoch 5/10
    260. 

  260. 
  1/242 [..............................] - ETA: 0s - loss: 0.0073
 40/242 [===>..........................] - ETA: 0s - loss: 0.0264
 79/242 [========>.....................] - ETA: 0s - loss: 0.0351
118/242 [=============>................] - ETA: 0s - loss: 0.0370
157/242 [==================>...........] - ETA: 0s - loss: 0.0360
191/242 [======================>.......] - ETA: 0s - loss: 0.0402
223/242 [==========================>...] - ETA: 0s - loss: 0.0388
242/242 [==============================] - 0s 1ms/step - loss: 0.0380
    261. 

  261. Epoch 6/10
    262. 

  262. 
  1/242 [..............................] - ETA: 0s - loss: 6.1440e-04
 35/242 [===>..........................] - ETA: 0s - loss: 0.0357    
 74/242 [========>.....................] - ETA: 0s - loss: 0.0345
112/242 [============>.................] - ETA: 0s - loss: 0.0384
152/242 [=================>............] - ETA: 0s - loss: 0.0387
193/242 [======================>.......] - ETA: 0s - loss: 0.0392
233/242 [===========================>..] - ETA: 0s - loss: 0.0386
242/242 [==============================] - 0s 1ms/step - loss: 0.0375
    263. 

  263. Epoch 7/10
    264. 

  264. 
  1/242 [..............................] - ETA: 0s - loss: 0.0291
 40/242 [===>..........................] - ETA: 0s - loss: 0.0228
 79/242 [========>.....................] - ETA: 0s - loss: 0.0234
117/242 [=============>................] - ETA: 0s - loss: 0.0254
156/242 [==================>...........] - ETA: 0s - loss: 0.0323
197/242 [=======================>......] - ETA: 0s - loss: 0.0331
236/242 [============================>.] - ETA: 0s - loss: 0.0329
242/242 [==============================] - 0s 1ms/step - loss: 0.0324
    265. 

  265. Epoch 8/10
    266. 

  266. 
  1/242 [..............................] - ETA: 0s - loss: 0.0725
 39/242 [===>..........................] - ETA: 0s - loss: 0.0421
 80/242 [========>.....................] - ETA: 0s - loss: 0.0340
120/242 [=============>................] - ETA: 0s - loss: 0.0290
159/242 [==================>...........] - ETA: 0s - loss: 0.0320
198/242 [=======================>......] - ETA: 0s - loss: 0.0341
235/242 [============================>.] - ETA: 0s - loss: 0.0315
242/242 [==============================] - 0s 1ms/step - loss: 0.0312
    267. 

  267. Epoch 9/10
    268. 

  268. 
  1/242 [..............................] - ETA: 0s - loss: 0.1700
 41/242 [====>.........................] - ETA: 0s - loss: 0.0362
 81/242 [=========>....................] - ETA: 0s - loss: 0.0314
120/242 [=============>................] - ETA: 0s - loss: 0.0248
160/242 [==================>...........] - ETA: 0s - loss: 0.0272
201/242 [=======================>......] - ETA: 0s - loss: 0.0307
239/242 [============================>.] - ETA: 0s - loss: 0.0328
242/242 [==============================] - 0s 1ms/step - loss: 0.0325
    269. 

  269. Epoch 10/10
    270. 

  270. 
  1/242 [..............................] - ETA: 0s - loss: 0.0049
 41/242 [====>.........................] - ETA: 0s - loss: 0.0385
 81/242 [=========>....................] - ETA: 0s - loss: 0.0327
120/242 [=============>................] - ETA: 0s - loss: 0.0325
160/242 [==================>...........] - ETA: 0s - loss: 0.0298
200/242 [=======================>......] - ETA: 0s - loss: 0.0294
238/242 [============================>.] - ETA: 0s - loss: 0.0302
242/242 [==============================] - 0s 1ms/step - loss: 0.0302
    271. 

  271. -> test with GAN.predict
    272. 

  272. GAN tn, fp: 586, 14
    273. 

  273. GAN fn, tp: 6, 21
    274. 

  274. GAN f1 score: 0.677
    275. 

  275. GAN cohens kappa score: 0.661
    276. 

  276. 

  277. -> test with 'LR'
    278. 

  278. LR tn, fp: 543, 57
    279. 

  279. LR fn, tp: 3, 24
    280. 

  280. LR f1 score: 0.444
    281. 

  281. LR cohens kappa score: 0.406
    282. 

  282. LR average precision score: 0.561
    283. 

  283. 

  284. -> test with 'RF'
    285. 

  285. RF tn, fp: 596, 4
    286. 

  286. RF fn, tp: 6, 21
    287. 

  287. RF f1 score: 0.808
    288. 

  288. RF cohens kappa score: 0.799
    289. 

  289. 

  290. -> test with 'GB'
    291. 

  291. GB tn, fp: 594, 6
    292. 

  292. GB fn, tp: 3, 24
    293. 

  293. GB f1 score: 0.842
    294. 

  294. GB cohens kappa score: 0.835
    295. 

  295. 

  296. -> test with 'KNN'
    297. 

  297. KNN tn, fp: 584, 16
    298. 

  298. KNN fn, tp: 6, 21
    299. 

  299. KNN f1 score: 0.656
    300. 

  300. KNN cohens kappa score: 0.638
    301. 

  301. 

  302. 

  303. ====== Step 2/5 =======
    304. 

  304. -> Shuffling data
    305. 

  305. -> Spliting data to slices
    306. 

  306. 

  307. ------ Step 2/5: Slice 1/5 -------
    308. 

  308. -> Reset the GAN
    309. 

  309. -> Train generator for synthetic samples
    310. 

  310. -> create 2289 synthetic samples
    311. 

  311. -> retrain GAN for predict
    312. 

  312. Epoch 1/10
    313. 

  313. 
  1/241 [..............................] - ETA: 47s - loss: 0.8602
 36/241 [===>..........................] - ETA: 0s - loss: 0.3342 
 77/241 [========>.....................] - ETA: 0s - loss: 0.2390
118/241 [=============>................] - ETA: 0s - loss: 0.1836
154/241 [==================>...........] - ETA: 0s - loss: 0.1755
192/241 [======================>.......] - ETA: 0s - loss: 0.1537
224/241 [==========================>...] - ETA: 0s - loss: 0.1380
241/241 [==============================] - 1s 1ms/step - loss: 0.1311
    314. 

  314. Epoch 2/10
    315. 

  315. 
  1/241 [..............................] - ETA: 0s - loss: 0.7600
 36/241 [===>..........................] - ETA: 0s - loss: 0.0740
 71/241 [=======>......................] - ETA: 0s - loss: 0.0688
108/241 [============>.................] - ETA: 0s - loss: 0.0581
140/241 [================>.............] - ETA: 0s - loss: 0.0579
173/241 [====================>.........] - ETA: 0s - loss: 0.0534
205/241 [========================>.....] - ETA: 0s - loss: 0.0523
239/241 [============================>.] - ETA: 0s - loss: 0.0504
241/241 [==============================] - 0s 1ms/step - loss: 0.0521
    316. 

  316. Epoch 3/10
    317. 

  317. 
  1/241 [..............................] - ETA: 0s - loss: 5.9779e-04
 36/241 [===>..........................] - ETA: 0s - loss: 0.0465    
 73/241 [========>.....................] - ETA: 0s - loss: 0.0400
111/241 [============>.................] - ETA: 0s - loss: 0.0466
144/241 [================>.............] - ETA: 0s - loss: 0.0401
179/241 [=====================>........] - ETA: 0s - loss: 0.0395
212/241 [=========================>....] - ETA: 0s - loss: 0.0383
241/241 [==============================] - 0s 1ms/step - loss: 0.0387
    318. 

  318. Epoch 4/10
    319. 

  319. 
  1/241 [..............................] - ETA: 0s - loss: 0.0016
 33/241 [===>..........................] - ETA: 0s - loss: 0.0305
 63/241 [======>.......................] - ETA: 0s - loss: 0.0505
 94/241 [==========>...................] - ETA: 0s - loss: 0.0433
125/241 [==============>...............] - ETA: 0s - loss: 0.0436
159/241 [==================>...........] - ETA: 0s - loss: 0.0405
192/241 [======================>.......] - ETA: 0s - loss: 0.0376
223/241 [==========================>...] - ETA: 0s - loss: 0.0387
241/241 [==============================] - 0s 2ms/step - loss: 0.0376
    320. 

  320. Epoch 5/10
    321. 

  321. 
  1/241 [..............................] - ETA: 0s - loss: 6.4327e-05
 34/241 [===>..........................] - ETA: 0s - loss: 0.0828    
 66/241 [=======>......................] - ETA: 0s - loss: 0.0574
100/241 [===========>..................] - ETA: 0s - loss: 0.0481
134/241 [===============>..............] - ETA: 0s - loss: 0.0463
168/241 [===================>..........] - ETA: 0s - loss: 0.0436
203/241 [========================>.....] - ETA: 0s - loss: 0.0404
241/241 [==============================] - ETA: 0s - loss: 0.0383
241/241 [==============================] - 0s 1ms/step - loss: 0.0383
    322. 

  322. Epoch 6/10
    323. 

  323. 
  1/241 [..............................] - ETA: 0s - loss: 0.0320
 38/241 [===>..........................] - ETA: 0s - loss: 0.0139
 76/241 [========>.....................] - ETA: 0s - loss: 0.0326
111/241 [============>.................] - ETA: 0s - loss: 0.0317
146/241 [=================>............] - ETA: 0s - loss: 0.0328
179/241 [=====================>........] - ETA: 0s - loss: 0.0317
209/241 [=========================>....] - ETA: 0s - loss: 0.0301
240/241 [============================>.] - ETA: 0s - loss: 0.0316
241/241 [==============================] - 0s 1ms/step - loss: 0.0315
    324. 

  324. Epoch 7/10
    325. 

  325. 
  1/241 [..............................] - ETA: 0s - loss: 0.0214
 33/241 [===>..........................] - ETA: 0s - loss: 0.0151
 69/241 [=======>......................] - ETA: 0s - loss: 0.0208
105/241 [============>.................] - ETA: 0s - loss: 0.0204
142/241 [================>.............] - ETA: 0s - loss: 0.0219
177/241 [=====================>........] - ETA: 0s - loss: 0.0252
211/241 [=========================>....] - ETA: 0s - loss: 0.0259
241/241 [==============================] - 0s 1ms/step - loss: 0.0261
    326. 

  326. Epoch 8/10
    327. 

  327. 
  1/241 [..............................] - ETA: 0s - loss: 0.0452
 30/241 [==>...........................] - ETA: 0s - loss: 0.0125
 63/241 [======>.......................] - ETA: 0s - loss: 0.0162
 99/241 [===========>..................] - ETA: 0s - loss: 0.0203
134/241 [===============>..............] - ETA: 0s - loss: 0.0230
168/241 [===================>..........] - ETA: 0s - loss: 0.0268
204/241 [========================>.....] - ETA: 0s - loss: 0.0250
238/241 [============================>.] - ETA: 0s - loss: 0.0239
241/241 [==============================] - 0s 1ms/step - loss: 0.0240
    328. 

  328. Epoch 9/10
    329. 

  329. 
  1/241 [..............................] - ETA: 0s - loss: 0.0086
 36/241 [===>..........................] - ETA: 0s - loss: 0.0085
 72/241 [=======>......................] - ETA: 0s - loss: 0.0098
107/241 [============>.................] - ETA: 0s - loss: 0.0127
141/241 [================>.............] - ETA: 0s - loss: 0.0184
177/241 [=====================>........] - ETA: 0s - loss: 0.0202
213/241 [=========================>....] - ETA: 0s - loss: 0.0206
241/241 [==============================] - 0s 1ms/step - loss: 0.0214
    330. 

  330. Epoch 10/10
    331. 

  331. 
  1/241 [..............................] - ETA: 0s - loss: 0.1223
 37/241 [===>..........................] - ETA: 0s - loss: 0.0301
 59/241 [======>.......................] - ETA: 0s - loss: 0.0259
 76/241 [========>.....................] - ETA: 0s - loss: 0.0245
 94/241 [==========>...................] - ETA: 0s - loss: 0.0235
111/241 [============>.................] - ETA: 0s - loss: 0.0212
134/241 [===============>..............] - ETA: 0s - loss: 0.0202
160/241 [==================>...........] - ETA: 0s - loss: 0.0184
188/241 [======================>.......] - ETA: 0s - loss: 0.0202
219/241 [==========================>...] - ETA: 0s - loss: 0.0198
241/241 [==============================] - 0s 2ms/step - loss: 0.0198
    332. 

  332. -> test with GAN.predict
    333. 

  333. GAN tn, fp: 600, 3
    334. 

  334. GAN fn, tp: 15, 16
    335. 

  335. GAN f1 score: 0.640
    336. 

  336. GAN cohens kappa score: 0.626
    337. 

  337. 

  338. -> test with 'LR'
    339. 

  339. LR tn, fp: 561, 42
    340. 

  340. LR fn, tp: 10, 21
    341. 

  341. LR f1 score: 0.447
    342. 

  342. LR cohens kappa score: 0.408
    343. 

  343. LR average precision score: 0.526
    344. 

  344. 

  345. -> test with 'RF'
    346. 

  346. RF tn, fp: 598, 5
    347. 

  347. RF fn, tp: 10, 21
    348. 

  348. RF f1 score: 0.737
    349. 

  349. RF cohens kappa score: 0.725
    350. 

  350. 

  351. -> test with 'GB'
    352. 

  352. GB tn, fp: 596, 7
    353. 

  353. GB fn, tp: 11, 20
    354. 

  354. GB f1 score: 0.690
    355. 

  355. GB cohens kappa score: 0.675
    356. 

  356. 

  357. -> test with 'KNN'
    358. 

  358. KNN tn, fp: 598, 5
    359. 

  359. KNN fn, tp: 21, 10
    360. 

  360. KNN f1 score: 0.435
    361. 

  361. KNN cohens kappa score: 0.416
    362. 

  362. 

  363. 

  364. ------ Step 2/5: Slice 2/5 -------
    365. 

  365. -> Reset the GAN
    366. 

  366. -> Train generator for synthetic samples
    367. 

  367. -> create 2289 synthetic samples
    368. 

  368. -> retrain GAN for predict
    369. 

  369. Epoch 1/10
    370. 

  370. 
  1/241 [..............................] - ETA: 1:00 - loss: 0.8674
 31/241 [==>...........................] - ETA: 0s - loss: 0.3188  
 59/241 [======>.......................] - ETA: 0s - loss: 0.2022
 83/241 [=========>....................] - ETA: 0s - loss: 0.1803
109/241 [============>.................] - ETA: 0s - loss: 0.1922
140/241 [================>.............] - ETA: 0s - loss: 0.1769
171/241 [====================>.........] - ETA: 0s - loss: 0.1672
201/241 [========================>.....] - ETA: 0s - loss: 0.1529
230/241 [===========================>..] - ETA: 0s - loss: 0.1428
241/241 [==============================] - 1s 2ms/step - loss: 0.1401
    371. 

  371. Epoch 2/10
    372. 

  372. 
  1/241 [..............................] - ETA: 0s - loss: 2.8402e-04
 32/241 [==>...........................] - ETA: 0s - loss: 0.0357    
 63/241 [======>.......................] - ETA: 0s - loss: 0.0428
 92/241 [==========>...................] - ETA: 0s - loss: 0.0468
124/241 [==============>...............] - ETA: 0s - loss: 0.0461
154/241 [==================>...........] - ETA: 0s - loss: 0.0502
184/241 [=====================>........] - ETA: 0s - loss: 0.0534
215/241 [=========================>....] - ETA: 0s - loss: 0.0535
241/241 [==============================] - 0s 2ms/step - loss: 0.0534
    373. 

  373. Epoch 3/10
    374. 

  374. 
  1/241 [..............................] - ETA: 0s - loss: 0.0029
 30/241 [==>...........................] - ETA: 0s - loss: 0.0536
 59/241 [======>.......................] - ETA: 0s - loss: 0.0443
 87/241 [=========>....................] - ETA: 0s - loss: 0.0504
116/241 [=============>................] - ETA: 0s - loss: 0.0491
143/241 [================>.............] - ETA: 0s - loss: 0.0472
174/241 [====================>.........] - ETA: 0s - loss: 0.0438
204/241 [========================>.....] - ETA: 0s - loss: 0.0442
234/241 [============================>.] - ETA: 0s - loss: 0.0455
241/241 [==============================] - 0s 2ms/step - loss: 0.0446
    375. 

  375. Epoch 4/10
    376. 

  376. 
  1/241 [..............................] - ETA: 0s - loss: 0.0165
 31/241 [==>...........................] - ETA: 0s - loss: 0.0315
 60/241 [======>.......................] - ETA: 0s - loss: 0.0331
 87/241 [=========>....................] - ETA: 0s - loss: 0.0319
115/241 [=============>................] - ETA: 0s - loss: 0.0356
137/241 [================>.............] - ETA: 0s - loss: 0.0346
163/241 [===================>..........] - ETA: 0s - loss: 0.0367
191/241 [======================>.......] - ETA: 0s - loss: 0.0364
219/241 [==========================>...] - ETA: 0s - loss: 0.0375
241/241 [==============================] - 0s 2ms/step - loss: 0.0384
    377. 

  377. Epoch 5/10
    378. 

  378. 
  1/241 [..............................] - ETA: 0s - loss: 0.0018
 31/241 [==>...........................] - ETA: 0s - loss: 0.0321
 59/241 [======>.......................] - ETA: 0s - loss: 0.0344
 87/241 [=========>....................] - ETA: 0s - loss: 0.0379
114/241 [=============>................] - ETA: 0s - loss: 0.0375
143/241 [================>.............] - ETA: 0s - loss: 0.0390
172/241 [====================>.........] - ETA: 0s - loss: 0.0375
201/241 [========================>.....] - ETA: 0s - loss: 0.0362
229/241 [===========================>..] - ETA: 0s - loss: 0.0343
241/241 [==============================] - 0s 2ms/step - loss: 0.0335
    379. 

  379. Epoch 6/10
    380. 

  380. 
  1/241 [..............................] - ETA: 0s - loss: 0.0026
 28/241 [==>...........................] - ETA: 0s - loss: 0.0342
 57/241 [======>.......................] - ETA: 0s - loss: 0.0316
 86/241 [=========>....................] - ETA: 0s - loss: 0.0317
116/241 [=============>................] - ETA: 0s - loss: 0.0290
147/241 [=================>............] - ETA: 0s - loss: 0.0290
174/241 [====================>.........] - ETA: 0s - loss: 0.0297
201/241 [========================>.....] - ETA: 0s - loss: 0.0311
228/241 [===========================>..] - ETA: 0s - loss: 0.0326
241/241 [==============================] - 0s 2ms/step - loss: 0.0317
    381. 

  381. Epoch 7/10
    382. 

  382. 
  1/241 [..............................] - ETA: 0s - loss: 0.0012
 28/241 [==>...........................] - ETA: 0s - loss: 0.0137
 56/241 [=====>........................] - ETA: 0s - loss: 0.0191
 84/241 [=========>....................] - ETA: 0s - loss: 0.0164
112/241 [============>.................] - ETA: 0s - loss: 0.0203
140/241 [================>.............] - ETA: 0s - loss: 0.0244
169/241 [====================>.........] - ETA: 0s - loss: 0.0252
196/241 [=======================>......] - ETA: 0s - loss: 0.0266
223/241 [==========================>...] - ETA: 0s - loss: 0.0273
241/241 [==============================] - 0s 2ms/step - loss: 0.0281
    383. 

  383. Epoch 8/10
    384. 

  384. 
  1/241 [..............................] - ETA: 0s - loss: 0.0413
 31/241 [==>...........................] - ETA: 0s - loss: 0.0239
 61/241 [======>.......................] - ETA: 0s - loss: 0.0204
 91/241 [==========>...................] - ETA: 0s - loss: 0.0212
120/241 [=============>................] - ETA: 0s - loss: 0.0205
153/241 [==================>...........] - ETA: 0s - loss: 0.0217
182/241 [=====================>........] - ETA: 0s - loss: 0.0267
212/241 [=========================>....] - ETA: 0s - loss: 0.0268
241/241 [==============================] - ETA: 0s - loss: 0.0276
241/241 [==============================] - 0s 2ms/step - loss: 0.0276
    385. 

  385. Epoch 9/10
    386. 

  386. 
  1/241 [..............................] - ETA: 0s - loss: 0.0237
 32/241 [==>...........................] - ETA: 0s - loss: 0.0154
 60/241 [======>.......................] - ETA: 0s - loss: 0.0221
 90/241 [==========>...................] - ETA: 0s - loss: 0.0258
120/241 [=============>................] - ETA: 0s - loss: 0.0236
148/241 [=================>............] - ETA: 0s - loss: 0.0268
174/241 [====================>.........] - ETA: 0s - loss: 0.0283
206/241 [========================>.....] - ETA: 0s - loss: 0.0296
237/241 [============================>.] - ETA: 0s - loss: 0.0291
241/241 [==============================] - 0s 2ms/step - loss: 0.0291
    387. 

  387. Epoch 10/10
    388. 

  388. 
  1/241 [..............................] - ETA: 0s - loss: 0.0027
 26/241 [==>...........................] - ETA: 0s - loss: 0.0141
 53/241 [=====>........................] - ETA: 0s - loss: 0.0228
 80/241 [========>.....................] - ETA: 0s - loss: 0.0272
108/241 [============>.................] - ETA: 0s - loss: 0.0291
138/241 [================>.............] - ETA: 0s - loss: 0.0294
169/241 [====================>.........] - ETA: 0s - loss: 0.0261
198/241 [=======================>......] - ETA: 0s - loss: 0.0297
226/241 [===========================>..] - ETA: 0s - loss: 0.0296
241/241 [==============================] - 0s 2ms/step - loss: 0.0296
    389. 

  389. -> test with GAN.predict
    390. 

  390. GAN tn, fp: 597, 6
    391. 

  391. GAN fn, tp: 10, 21
    392. 

  392. GAN f1 score: 0.724
    393. 

  393. GAN cohens kappa score: 0.711
    394. 

  394. 

  395. -> test with 'LR'
    396. 

  396. LR tn, fp: 552, 51
    397. 

  397. LR fn, tp: 5, 26
    398. 

  398. LR f1 score: 0.481
    399. 

  399. LR cohens kappa score: 0.443
    400. 

  400. LR average precision score: 0.502
    401. 

  401. 

  402. -> test with 'RF'
    403. 

  403. RF tn, fp: 598, 5
    404. 

  404. RF fn, tp: 7, 24
    405. 

  405. RF f1 score: 0.800
    406. 

  406. RF cohens kappa score: 0.790
    407. 

  407. 

  408. -> test with 'GB'
    409. 

  409. GB tn, fp: 597, 6
    410. 

  410. GB fn, tp: 4, 27
    411. 

  411. GB f1 score: 0.844
    412. 

  412. GB cohens kappa score: 0.835
    413. 

  413. 

  414. -> test with 'KNN'
    415. 

  415. KNN tn, fp: 594, 9
    416. 

  416. KNN fn, tp: 10, 21
    417. 

  417. KNN f1 score: 0.689
    418. 

  418. KNN cohens kappa score: 0.673
    419. 

  419. 

  420. 

  421. ------ Step 2/5: Slice 3/5 -------
    422. 

  422. -> Reset the GAN
    423. 

  423. -> Train generator for synthetic samples
    424. 

  424. -> create 2289 synthetic samples
    425. 

  425. -> retrain GAN for predict
    426. 

  426. Epoch 1/10
    427. 

  427. 
  1/241 [..............................] - ETA: 53s - loss: 8.7981e-05
 40/241 [===>..........................] - ETA: 0s - loss: 0.3122     
 80/241 [========>.....................] - ETA: 0s - loss: 0.2364
117/241 [=============>................] - ETA: 0s - loss: 0.1766
156/241 [==================>...........] - ETA: 0s - loss: 0.1637
190/241 [======================>.......] - ETA: 0s - loss: 0.1424
226/241 [===========================>..] - ETA: 0s - loss: 0.1360
241/241 [==============================] - 1s 1ms/step - loss: 0.1330
    428. 

  428. Epoch 2/10
    429. 

  429. 
  1/241 [..............................] - ETA: 0s - loss: 0.4785
 38/241 [===>..........................] - ETA: 0s - loss: 0.0599
 79/241 [========>.....................] - ETA: 0s - loss: 0.0552
119/241 [=============>................] - ETA: 0s - loss: 0.0464
150/241 [=================>............] - ETA: 0s - loss: 0.0502
185/241 [======================>.......] - ETA: 0s - loss: 0.0466
220/241 [==========================>...] - ETA: 0s - loss: 0.0479
241/241 [==============================] - 0s 1ms/step - loss: 0.0508
    430. 

  430. Epoch 3/10
    431. 

  431. 
  1/241 [..............................] - ETA: 0s - loss: 0.0420
 34/241 [===>..........................] - ETA: 0s - loss: 0.0521
 70/241 [=======>......................] - ETA: 0s - loss: 0.0392
109/241 [============>.................] - ETA: 0s - loss: 0.0405
149/241 [=================>............] - ETA: 0s - loss: 0.0456
188/241 [======================>.......] - ETA: 0s - loss: 0.0426
228/241 [===========================>..] - ETA: 0s - loss: 0.0404
241/241 [==============================] - 0s 1ms/step - loss: 0.0419
    432. 

  432. Epoch 4/10
    433. 

  433. 
  1/241 [..............................] - ETA: 0s - loss: 0.0050
 42/241 [====>.........................] - ETA: 0s - loss: 0.0222
 80/241 [========>.....................] - ETA: 0s - loss: 0.0294
118/241 [=============>................] - ETA: 0s - loss: 0.0429
156/241 [==================>...........] - ETA: 0s - loss: 0.0431
189/241 [======================>.......] - ETA: 0s - loss: 0.0399
222/241 [==========================>...] - ETA: 0s - loss: 0.0389
241/241 [==============================] - 0s 1ms/step - loss: 0.0375
    434. 

  434. Epoch 5/10
    435. 

  435. 
  1/241 [..............................] - ETA: 0s - loss: 0.0054
 40/241 [===>..........................] - ETA: 0s - loss: 0.0415
 78/241 [========>.....................] - ETA: 0s - loss: 0.0384
117/241 [=============>................] - ETA: 0s - loss: 0.0341
151/241 [=================>............] - ETA: 0s - loss: 0.0325
192/241 [======================>.......] - ETA: 0s - loss: 0.0349
232/241 [===========================>..] - ETA: 0s - loss: 0.0342
241/241 [==============================] - 0s 1ms/step - loss: 0.0332
    436. 

  436. Epoch 6/10
    437. 

  437. 
  1/241 [..............................] - ETA: 0s - loss: 0.0040
 41/241 [====>.........................] - ETA: 0s - loss: 0.0357
 80/241 [========>.....................] - ETA: 0s - loss: 0.0310
117/241 [=============>................] - ETA: 0s - loss: 0.0271
156/241 [==================>...........] - ETA: 0s - loss: 0.0279
197/241 [=======================>......] - ETA: 0s - loss: 0.0300
239/241 [============================>.] - ETA: 0s - loss: 0.0303
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
    438. 

  438. Epoch 7/10
    439. 

  439. 
  1/241 [..............................] - ETA: 0s - loss: 0.0053
 42/241 [====>.........................] - ETA: 0s - loss: 0.0161
 83/241 [=========>....................] - ETA: 0s - loss: 0.0219
121/241 [==============>...............] - ETA: 0s - loss: 0.0278
161/241 [===================>..........] - ETA: 0s - loss: 0.0282
200/241 [=======================>......] - ETA: 0s - loss: 0.0303
241/241 [==============================] - ETA: 0s - loss: 0.0302
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
    440. 

  440. Epoch 8/10
    441. 

  441. 
  1/241 [..............................] - ETA: 0s - loss: 0.0632
 40/241 [===>..........................] - ETA: 0s - loss: 0.0319
 79/241 [========>.....................] - ETA: 0s - loss: 0.0287
119/241 [=============>................] - ETA: 0s - loss: 0.0241
159/241 [==================>...........] - ETA: 0s - loss: 0.0258
199/241 [=======================>......] - ETA: 0s - loss: 0.0232
238/241 [============================>.] - ETA: 0s - loss: 0.0277
241/241 [==============================] - 0s 1ms/step - loss: 0.0280
    442. 

  442. Epoch 9/10
    443. 

  443. 
  1/241 [..............................] - ETA: 0s - loss: 0.1779
 38/241 [===>..........................] - ETA: 0s - loss: 0.0303
 76/241 [========>.....................] - ETA: 0s - loss: 0.0256
116/241 [=============>................] - ETA: 0s - loss: 0.0263
153/241 [==================>...........] - ETA: 0s - loss: 0.0278
192/241 [======================>.......] - ETA: 0s - loss: 0.0278
231/241 [===========================>..] - ETA: 0s - loss: 0.0269
241/241 [==============================] - 0s 1ms/step - loss: 0.0263
    444. 

  444. Epoch 10/10
    445. 

  445. 
  1/241 [..............................] - ETA: 0s - loss: 0.0047
 39/241 [===>..........................] - ETA: 0s - loss: 0.0180
 80/241 [========>.....................] - ETA: 0s - loss: 0.0219
118/241 [=============>................] - ETA: 0s - loss: 0.0176
157/241 [==================>...........] - ETA: 0s - loss: 0.0228
197/241 [=======================>......] - ETA: 0s - loss: 0.0280
235/241 [============================>.] - ETA: 0s - loss: 0.0263
241/241 [==============================] - 0s 1ms/step - loss: 0.0259
    446. 

  446. -> test with GAN.predict
    447. 

  447. GAN tn, fp: 594, 9
    448. 

  448. GAN fn, tp: 8, 23
    449. 

  449. GAN f1 score: 0.730
    450. 

  450. GAN cohens kappa score: 0.716
    451. 

  451. 

  452. -> test with 'LR'
    453. 

  453. LR tn, fp: 551, 52
    454. 

  454. LR fn, tp: 6, 25
    455. 

  455. LR f1 score: 0.463
    456. 

  456. LR cohens kappa score: 0.423
    457. 

  457. LR average precision score: 0.549
    458. 

  458. 

  459. -> test with 'RF'
    460. 

  460. RF tn, fp: 600, 3
    461. 

  461. RF fn, tp: 10, 21
    462. 

  462. RF f1 score: 0.764
    463. 

  463. RF cohens kappa score: 0.753
    464. 

  464. 

  465. -> test with 'GB'
    466. 

  466. GB tn, fp: 598, 5
    467. 

  467. GB fn, tp: 6, 25
    468. 

  468. GB f1 score: 0.820
    469. 

  469. GB cohens kappa score: 0.811
    470. 

  470. 

  471. -> test with 'KNN'
    472. 

  472. KNN tn, fp: 596, 7
    473. 

  473. KNN fn, tp: 13, 18
    474. 

  474. KNN f1 score: 0.643
    475. 

  475. KNN cohens kappa score: 0.627
    476. 

  476. 

  477. 

  478. ------ Step 2/5: Slice 4/5 -------
    479. 

  479. -> Reset the GAN
    480. 

  480. -> Train generator for synthetic samples
    481. 

  481. -> create 2289 synthetic samples
    482. 

  482. -> retrain GAN for predict
    483. 

  483. Epoch 1/10
    484. 

  484. 
  1/241 [..............................] - ETA: 49s - loss: 0.1504
 39/241 [===>..........................] - ETA: 0s - loss: 0.3549 
 78/241 [========>.....................] - ETA: 0s - loss: 0.2554
117/241 [=============>................] - ETA: 0s - loss: 0.2047
156/241 [==================>...........] - ETA: 0s - loss: 0.1715
193/241 [=======================>......] - ETA: 0s - loss: 0.1483
231/241 [===========================>..] - ETA: 0s - loss: 0.1344
241/241 [==============================] - 1s 1ms/step - loss: 0.1307
    485. 

  485. Epoch 2/10
    486. 

  486. 
  1/241 [..............................] - ETA: 0s - loss: 0.0138
 40/241 [===>..........................] - ETA: 0s - loss: 0.0551
 77/241 [========>.....................] - ETA: 0s - loss: 0.0625
115/241 [=============>................] - ETA: 0s - loss: 0.0550
154/241 [==================>...........] - ETA: 0s - loss: 0.0498
190/241 [======================>.......] - ETA: 0s - loss: 0.0475
229/241 [===========================>..] - ETA: 0s - loss: 0.0482
241/241 [==============================] - 0s 1ms/step - loss: 0.0473
    487. 

  487. Epoch 3/10
    488. 

  488. 
  1/241 [..............................] - ETA: 0s - loss: 0.0014
 38/241 [===>..........................] - ETA: 0s - loss: 0.0153
 74/241 [========>.....................] - ETA: 0s - loss: 0.0349
114/241 [=============>................] - ETA: 0s - loss: 0.0383
153/241 [==================>...........] - ETA: 0s - loss: 0.0360
192/241 [======================>.......] - ETA: 0s - loss: 0.0343
232/241 [===========================>..] - ETA: 0s - loss: 0.0351
241/241 [==============================] - 0s 1ms/step - loss: 0.0346
    489. 

  489. Epoch 4/10
    490. 

  490. 
  1/241 [..............................] - ETA: 0s - loss: 0.0161
 38/241 [===>..........................] - ETA: 0s - loss: 0.0191
 74/241 [========>.....................] - ETA: 0s - loss: 0.0255
108/241 [============>.................] - ETA: 0s - loss: 0.0279
141/241 [================>.............] - ETA: 0s - loss: 0.0310
180/241 [=====================>........] - ETA: 0s - loss: 0.0323
219/241 [==========================>...] - ETA: 0s - loss: 0.0337
241/241 [==============================] - 0s 1ms/step - loss: 0.0322
    491. 

  491. Epoch 5/10
    492. 

  492. 
  1/241 [..............................] - ETA: 0s - loss: 0.1923
 33/241 [===>..........................] - ETA: 0s - loss: 0.0308
 66/241 [=======>......................] - ETA: 0s - loss: 0.0328
104/241 [===========>..................] - ETA: 0s - loss: 0.0304
145/241 [=================>............] - ETA: 0s - loss: 0.0292
186/241 [======================>.......] - ETA: 0s - loss: 0.0301
225/241 [===========================>..] - ETA: 0s - loss: 0.0284
241/241 [==============================] - 0s 1ms/step - loss: 0.0284
    493. 

  493. Epoch 6/10
    494. 

  494. 
  1/241 [..............................] - ETA: 0s - loss: 0.0729
 40/241 [===>..........................] - ETA: 0s - loss: 0.0289
 80/241 [========>.....................] - ETA: 0s - loss: 0.0263
120/241 [=============>................] - ETA: 0s - loss: 0.0265
159/241 [==================>...........] - ETA: 0s - loss: 0.0255
199/241 [=======================>......] - ETA: 0s - loss: 0.0273
236/241 [============================>.] - ETA: 0s - loss: 0.0254
241/241 [==============================] - 0s 1ms/step - loss: 0.0261
    495. 

  495. Epoch 7/10
    496. 

  496. 
  1/241 [..............................] - ETA: 0s - loss: 0.0237
 39/241 [===>..........................] - ETA: 0s - loss: 0.0269
 77/241 [========>.....................] - ETA: 0s - loss: 0.0303
115/241 [=============>................] - ETA: 0s - loss: 0.0256
153/241 [==================>...........] - ETA: 0s - loss: 0.0255
192/241 [======================>.......] - ETA: 0s - loss: 0.0220
231/241 [===========================>..] - ETA: 0s - loss: 0.0242
241/241 [==============================] - 0s 1ms/step - loss: 0.0241
    497. 

  497. Epoch 8/10
    498. 

  498. 
  1/241 [..............................] - ETA: 0s - loss: 0.0089
 38/241 [===>..........................] - ETA: 0s - loss: 0.0237
 78/241 [========>.....................] - ETA: 0s - loss: 0.0232
116/241 [=============>................] - ETA: 0s - loss: 0.0195
150/241 [=================>............] - ETA: 0s - loss: 0.0254
190/241 [======================>.......] - ETA: 0s - loss: 0.0229
228/241 [===========================>..] - ETA: 0s - loss: 0.0209
241/241 [==============================] - 0s 1ms/step - loss: 0.0216
    499. 

  499. Epoch 9/10
    500. 

  500. 
  1/241 [..............................] - ETA: 0s - loss: 0.0037
 39/241 [===>..........................] - ETA: 0s - loss: 0.0143
 78/241 [========>.....................] - ETA: 0s - loss: 0.0147
117/241 [=============>................] - ETA: 0s - loss: 0.0157
154/241 [==================>...........] - ETA: 0s - loss: 0.0179
189/241 [======================>.......] - ETA: 0s - loss: 0.0178
231/241 [===========================>..] - ETA: 0s - loss: 0.0188
241/241 [==============================] - 0s 1ms/step - loss: 0.0205
    501. 

  501. Epoch 10/10
    502. 

  502. 
  1/241 [..............................] - ETA: 0s - loss: 0.0318
 39/241 [===>..........................] - ETA: 0s - loss: 0.0131
 71/241 [=======>......................] - ETA: 0s - loss: 0.0144
100/241 [===========>..................] - ETA: 0s - loss: 0.0153
130/241 [===============>..............] - ETA: 0s - loss: 0.0147
169/241 [====================>.........] - ETA: 0s - loss: 0.0150
209/241 [=========================>....] - ETA: 0s - loss: 0.0154
241/241 [==============================] - 0s 1ms/step - loss: 0.0193
    503. 

  503. -> test with GAN.predict
    504. 

  504. GAN tn, fp: 588, 15
    505. 

  505. GAN fn, tp: 8, 23
    506. 

  506. GAN f1 score: 0.667
    507. 

  507. GAN cohens kappa score: 0.648
    508. 

  508. 

  509. -> test with 'LR'
    510. 

  510. LR tn, fp: 531, 72
    511. 

  511. LR fn, tp: 7, 24
    512. 

  512. LR f1 score: 0.378
    513. 

  513. LR cohens kappa score: 0.328
    514. 

  514. LR average precision score: 0.324
    515. 

  515. 

  516. -> test with 'RF'
    517. 

  517. RF tn, fp: 599, 4
    518. 

  518. RF fn, tp: 7, 24
    519. 

  519. RF f1 score: 0.814
    520. 

  520. RF cohens kappa score: 0.804
    521. 

  521. 

  522. -> test with 'GB'
    523. 

  523. GB tn, fp: 597, 6
    524. 

  524. GB fn, tp: 6, 25
    525. 

  525. GB f1 score: 0.806
    526. 

  526. GB cohens kappa score: 0.797
    527. 

  527. 

  528. -> test with 'KNN'
    529. 

  529. KNN tn, fp: 591, 12
    530. 

  530. KNN fn, tp: 10, 21
    531. 

  531. KNN f1 score: 0.656
    532. 

  532. KNN cohens kappa score: 0.638
    533. 

  533. 

  534. 

  535. ------ Step 2/5: Slice 5/5 -------
    536. 

  536. -> Reset the GAN
    537. 

  537. -> Train generator for synthetic samples
    538. 

  538. -> create 2288 synthetic samples
    539. 

  539. -> retrain GAN for predict
    540. 

  540. Epoch 1/10
    541. 

  541. 
  1/242 [..............................] - ETA: 1:09 - loss: 2.0773
 26/242 [==>...........................] - ETA: 0s - loss: 0.3251  
 58/242 [======>.......................] - ETA: 0s - loss: 0.2440
 88/242 [=========>....................] - ETA: 0s - loss: 0.2087
115/242 [=============>................] - ETA: 0s - loss: 0.1875
146/242 [=================>............] - ETA: 0s - loss: 0.1721
174/242 [====================>.........] - ETA: 0s - loss: 0.1608
201/242 [=======================>......] - ETA: 0s - loss: 0.1532
232/242 [===========================>..] - ETA: 0s - loss: 0.1486
242/242 [==============================] - 1s 2ms/step - loss: 0.1454
    542. 

  542. Epoch 2/10
    543. 

  543. 
  1/242 [..............................] - ETA: 0s - loss: 0.0351
 33/242 [===>..........................] - ETA: 0s - loss: 0.0401
 57/242 [======>.......................] - ETA: 0s - loss: 0.0569
 87/242 [=========>....................] - ETA: 0s - loss: 0.0611
112/242 [============>.................] - ETA: 0s - loss: 0.0562
140/242 [================>.............] - ETA: 0s - loss: 0.0562
166/242 [===================>..........] - ETA: 0s - loss: 0.0562
192/242 [======================>.......] - ETA: 0s - loss: 0.0553
222/242 [==========================>...] - ETA: 0s - loss: 0.0568
242/242 [==============================] - 0s 2ms/step - loss: 0.0575
    544. 

  544. Epoch 3/10
    545. 

  545. 
  1/242 [..............................] - ETA: 0s - loss: 0.0195
 31/242 [==>...........................] - ETA: 0s - loss: 0.0555
 61/242 [======>.......................] - ETA: 0s - loss: 0.0466
 86/242 [=========>....................] - ETA: 0s - loss: 0.0475
117/242 [=============>................] - ETA: 0s - loss: 0.0506
146/242 [=================>............] - ETA: 0s - loss: 0.0456
172/242 [====================>.........] - ETA: 0s - loss: 0.0450
196/242 [=======================>......] - ETA: 0s - loss: 0.0433
221/242 [==========================>...] - ETA: 0s - loss: 0.0420
242/242 [==============================] - 0s 2ms/step - loss: 0.0427
    546. 

  546. Epoch 4/10
    547. 

  547. 
  1/242 [..............................] - ETA: 0s - loss: 0.0596
 27/242 [==>...........................] - ETA: 0s - loss: 0.0536
 56/242 [=====>........................] - ETA: 0s - loss: 0.0480
 87/242 [=========>....................] - ETA: 0s - loss: 0.0444
112/242 [============>.................] - ETA: 0s - loss: 0.0380
144/242 [================>.............] - ETA: 0s - loss: 0.0383
174/242 [====================>.........] - ETA: 0s - loss: 0.0390
196/242 [=======================>......] - ETA: 0s - loss: 0.0407
224/242 [==========================>...] - ETA: 0s - loss: 0.0373
242/242 [==============================] - 0s 2ms/step - loss: 0.0384
    548. 

  548. Epoch 5/10
    549. 

  549. 
  1/242 [..............................] - ETA: 0s - loss: 0.1818
 30/242 [==>...........................] - ETA: 0s - loss: 0.0455
 55/242 [=====>........................] - ETA: 0s - loss: 0.0443
 82/242 [=========>....................] - ETA: 0s - loss: 0.0382
111/242 [============>.................] - ETA: 0s - loss: 0.0332
134/242 [===============>..............] - ETA: 0s - loss: 0.0311
166/242 [===================>..........] - ETA: 0s - loss: 0.0327
195/242 [=======================>......] - ETA: 0s - loss: 0.0340
220/242 [==========================>...] - ETA: 0s - loss: 0.0333
242/242 [==============================] - 0s 2ms/step - loss: 0.0336
    550. 

  550. Epoch 6/10
    551. 

  551. 
  1/242 [..............................] - ETA: 0s - loss: 0.0038
 26/242 [==>...........................] - ETA: 0s - loss: 0.0224
 58/242 [======>.......................] - ETA: 0s - loss: 0.0278
 87/242 [=========>....................] - ETA: 0s - loss: 0.0266
115/242 [=============>................] - ETA: 0s - loss: 0.0284
145/242 [================>.............] - ETA: 0s - loss: 0.0287
172/242 [====================>.........] - ETA: 0s - loss: 0.0324
199/242 [=======================>......] - ETA: 0s - loss: 0.0319
229/242 [===========================>..] - ETA: 0s - loss: 0.0329
242/242 [==============================] - 0s 2ms/step - loss: 0.0321
    552. 

  552. Epoch 7/10
    553. 

  553. 
  1/242 [..............................] - ETA: 0s - loss: 0.0036
 30/242 [==>...........................] - ETA: 0s - loss: 0.0252
 53/242 [=====>........................] - ETA: 0s - loss: 0.0296
 82/242 [=========>....................] - ETA: 0s - loss: 0.0259
106/242 [============>.................] - ETA: 0s - loss: 0.0248
135/242 [===============>..............] - ETA: 0s - loss: 0.0231
167/242 [===================>..........] - ETA: 0s - loss: 0.0232
193/242 [======================>.......] - ETA: 0s - loss: 0.0243
224/242 [==========================>...] - ETA: 0s - loss: 0.0266
242/242 [==============================] - 0s 2ms/step - loss: 0.0268
    554. 

  554. Epoch 8/10
    555. 

  555. 
  1/242 [..............................] - ETA: 0s - loss: 0.0040
 28/242 [==>...........................] - ETA: 0s - loss: 0.0468
 58/242 [======>.......................] - ETA: 0s - loss: 0.0364
 83/242 [=========>....................] - ETA: 0s - loss: 0.0347
115/242 [=============>................] - ETA: 0s - loss: 0.0307
144/242 [================>.............] - ETA: 0s - loss: 0.0291
171/242 [====================>.........] - ETA: 0s - loss: 0.0260
201/242 [=======================>......] - ETA: 0s - loss: 0.0260
228/242 [===========================>..] - ETA: 0s - loss: 0.0269
242/242 [==============================] - 0s 2ms/step - loss: 0.0273
    556. 

  556. Epoch 9/10
    557. 

  557. 
  1/242 [..............................] - ETA: 0s - loss: 0.0111
 23/242 [=>............................] - ETA: 0s - loss: 0.0274
 53/242 [=====>........................] - ETA: 0s - loss: 0.0195
 85/242 [=========>....................] - ETA: 0s - loss: 0.0251
109/242 [============>.................] - ETA: 0s - loss: 0.0240
141/242 [================>.............] - ETA: 0s - loss: 0.0247
170/242 [====================>.........] - ETA: 0s - loss: 0.0237
199/242 [=======================>......] - ETA: 0s - loss: 0.0242
229/242 [===========================>..] - ETA: 0s - loss: 0.0244
242/242 [==============================] - 0s 2ms/step - loss: 0.0248
    558. 

  558. Epoch 10/10
    559. 

  559. 
  1/242 [..............................] - ETA: 0s - loss: 0.0109
 32/242 [==>...........................] - ETA: 0s - loss: 0.0208
 56/242 [=====>........................] - ETA: 0s - loss: 0.0240
 84/242 [=========>....................] - ETA: 0s - loss: 0.0246
114/242 [=============>................] - ETA: 0s - loss: 0.0248
140/242 [================>.............] - ETA: 0s - loss: 0.0265
173/242 [====================>.........] - ETA: 0s - loss: 0.0243
200/242 [=======================>......] - ETA: 0s - loss: 0.0229
228/242 [===========================>..] - ETA: 0s - loss: 0.0246
242/242 [==============================] - 0s 2ms/step - loss: 0.0258
    560. 

  560. -> test with GAN.predict
    561. 

  561. GAN tn, fp: 588, 12
    562. 

  562. GAN fn, tp: 2, 25
    563. 

  563. GAN f1 score: 0.781
    564. 

  564. GAN cohens kappa score: 0.770
    565. 

  565. 

  566. -> test with 'LR'
    567. 

  567. LR tn, fp: 523, 77
    568. 

  568. LR fn, tp: 1, 26
    569. 

  569. LR f1 score: 0.400
    570. 

  570. LR cohens kappa score: 0.356
    571. 

  571. LR average precision score: 0.508
    572. 

  572. 

  573. -> test with 'RF'
    574. 

  574. RF tn, fp: 597, 3
    575. 

  575. RF fn, tp: 4, 23
    576. 

  576. RF f1 score: 0.868
    577. 

  577. RF cohens kappa score: 0.862
    578. 

  578. 

  579. -> test with 'GB'
    580. 

  580. GB tn, fp: 595, 5
    581. 

  581. GB fn, tp: 3, 24
    582. 

  582. GB f1 score: 0.857
    583. 

  583. GB cohens kappa score: 0.850
    584. 

  584. 

  585. -> test with 'KNN'
    586. 

  586. KNN tn, fp: 591, 9
    587. 

  587. KNN fn, tp: 10, 17
    588. 

  588. KNN f1 score: 0.642
    589. 

  589. KNN cohens kappa score: 0.626
    590. 

  590. 

  591. 

  592. ====== Step 3/5 =======
    593. 

  593. -> Shuffling data
    594. 

  594. -> Spliting data to slices
    595. 

  595. 

  596. ------ Step 3/5: Slice 1/5 -------
    597. 

  597. -> Reset the GAN
    598. 

  598. -> Train generator for synthetic samples
    599. 

  599. -> create 2289 synthetic samples
    600. 

  600. -> retrain GAN for predict
    601. 

  601. Epoch 1/10
    602. 

  602. 
  1/241 [..............................] - ETA: 1:10 - loss: 1.2044
 29/241 [==>...........................] - ETA: 0s - loss: 0.4456  
 60/241 [======>.......................] - ETA: 0s - loss: 0.2999
 86/241 [=========>....................] - ETA: 0s - loss: 0.2402
118/241 [=============>................] - ETA: 0s - loss: 0.2204
148/241 [=================>............] - ETA: 0s - loss: 0.1845
173/241 [====================>.........] - ETA: 0s - loss: 0.1664
205/241 [========================>.....] - ETA: 0s - loss: 0.1554
231/241 [===========================>..] - ETA: 0s - loss: 0.1435
241/241 [==============================] - 1s 2ms/step - loss: 0.1401
    603. 

  603. Epoch 2/10
    604. 

  604. 
  1/241 [..............................] - ETA: 0s - loss: 0.0769
 27/241 [==>...........................] - ETA: 0s - loss: 0.0306
 61/241 [======>.......................] - ETA: 0s - loss: 0.0427
 87/241 [=========>....................] - ETA: 0s - loss: 0.0411
119/241 [=============>................] - ETA: 0s - loss: 0.0512
146/241 [=================>............] - ETA: 0s - loss: 0.0502
176/241 [====================>.........] - ETA: 0s - loss: 0.0536
207/241 [========================>.....] - ETA: 0s - loss: 0.0501
230/241 [===========================>..] - ETA: 0s - loss: 0.0498
241/241 [==============================] - 0s 2ms/step - loss: 0.0492
    605. 

  605. Epoch 3/10
    606. 

  606. 
  1/241 [..............................] - ETA: 0s - loss: 0.0132
 30/241 [==>...........................] - ETA: 0s - loss: 0.0610
 56/241 [=====>........................] - ETA: 0s - loss: 0.0441
 84/241 [=========>....................] - ETA: 0s - loss: 0.0453
115/241 [=============>................] - ETA: 0s - loss: 0.0383
141/241 [================>.............] - ETA: 0s - loss: 0.0368
172/241 [====================>.........] - ETA: 0s - loss: 0.0371
202/241 [========================>.....] - ETA: 0s - loss: 0.0362
230/241 [===========================>..] - ETA: 0s - loss: 0.0349
241/241 [==============================] - 0s 2ms/step - loss: 0.0367
    607. 

  607. Epoch 4/10
    608. 

  608. 
  1/241 [..............................] - ETA: 0s - loss: 0.0310
 29/241 [==>...........................] - ETA: 0s - loss: 0.0509
 61/241 [======>.......................] - ETA: 0s - loss: 0.0390
 89/241 [==========>...................] - ETA: 0s - loss: 0.0389
121/241 [==============>...............] - ETA: 0s - loss: 0.0352
146/241 [=================>............] - ETA: 0s - loss: 0.0306
177/241 [=====================>........] - ETA: 0s - loss: 0.0323
201/241 [========================>.....] - ETA: 0s - loss: 0.0304
230/241 [===========================>..] - ETA: 0s - loss: 0.0287
241/241 [==============================] - 0s 2ms/step - loss: 0.0309
    609. 

  609. Epoch 5/10
    610. 

  610. 
  1/241 [..............................] - ETA: 0s - loss: 0.0828
 32/241 [==>...........................] - ETA: 0s - loss: 0.0230
 61/241 [======>.......................] - ETA: 0s - loss: 0.0329
 87/241 [=========>....................] - ETA: 0s - loss: 0.0315
119/241 [=============>................] - ETA: 0s - loss: 0.0299
145/241 [=================>............] - ETA: 0s - loss: 0.0319
172/241 [====================>.........] - ETA: 0s - loss: 0.0301
196/241 [=======================>......] - ETA: 0s - loss: 0.0285
221/241 [==========================>...] - ETA: 0s - loss: 0.0299
241/241 [==============================] - 0s 2ms/step - loss: 0.0291
    611. 

  611. Epoch 6/10
    612. 

  612. 
  1/241 [..............................] - ETA: 0s - loss: 3.6047e-04
 29/241 [==>...........................] - ETA: 0s - loss: 0.0329    
 60/241 [======>.......................] - ETA: 0s - loss: 0.0256
 85/241 [=========>....................] - ETA: 0s - loss: 0.0235
121/241 [==============>...............] - ETA: 0s - loss: 0.0278
146/241 [=================>............] - ETA: 0s - loss: 0.0266
176/241 [====================>.........] - ETA: 0s - loss: 0.0273
207/241 [========================>.....] - ETA: 0s - loss: 0.0271
233/241 [============================>.] - ETA: 0s - loss: 0.0262
241/241 [==============================] - 0s 2ms/step - loss: 0.0261
    613. 

  613. Epoch 7/10
    614. 

  614. 
  1/241 [..............................] - ETA: 0s - loss: 0.0016
 30/241 [==>...........................] - ETA: 0s - loss: 0.0330
 61/241 [======>.......................] - ETA: 0s - loss: 0.0255
 84/241 [=========>....................] - ETA: 0s - loss: 0.0257
117/241 [=============>................] - ETA: 0s - loss: 0.0272
143/241 [================>.............] - ETA: 0s - loss: 0.0247
171/241 [====================>.........] - ETA: 0s - loss: 0.0258
202/241 [========================>.....] - ETA: 0s - loss: 0.0261
227/241 [===========================>..] - ETA: 0s - loss: 0.0253
241/241 [==============================] - 0s 2ms/step - loss: 0.0281
    615. 

  615. Epoch 8/10
    616. 

  616. 
  1/241 [..............................] - ETA: 0s - loss: 0.1385
 28/241 [==>...........................] - ETA: 0s - loss: 0.0243
 58/241 [======>.......................] - ETA: 0s - loss: 0.0176
 85/241 [=========>....................] - ETA: 0s - loss: 0.0202
119/241 [=============>................] - ETA: 0s - loss: 0.0241
146/241 [=================>............] - ETA: 0s - loss: 0.0237
175/241 [====================>.........] - ETA: 0s - loss: 0.0232
208/241 [========================>.....] - ETA: 0s - loss: 0.0222
231/241 [===========================>..] - ETA: 0s - loss: 0.0217
241/241 [==============================] - 0s 2ms/step - loss: 0.0227
    617. 

  617. Epoch 9/10
    618. 

  618. 
  1/241 [..............................] - ETA: 0s - loss: 0.0036
 30/241 [==>...........................] - ETA: 0s - loss: 0.0083
 63/241 [======>.......................] - ETA: 0s - loss: 0.0215
 89/241 [==========>...................] - ETA: 0s - loss: 0.0231
121/241 [==============>...............] - ETA: 0s - loss: 0.0219
150/241 [=================>............] - ETA: 0s - loss: 0.0244
175/241 [====================>.........] - ETA: 0s - loss: 0.0244
206/241 [========================>.....] - ETA: 0s - loss: 0.0230
229/241 [===========================>..] - ETA: 0s - loss: 0.0230
241/241 [==============================] - 0s 2ms/step - loss: 0.0235
    619. 

  619. Epoch 10/10
    620. 

  620. 
  1/241 [..............................] - ETA: 0s - loss: 0.0042
 31/241 [==>...........................] - ETA: 0s - loss: 0.0103
 61/241 [======>.......................] - ETA: 0s - loss: 0.0109
 86/241 [=========>....................] - ETA: 0s - loss: 0.0112
119/241 [=============>................] - ETA: 0s - loss: 0.0170
144/241 [================>.............] - ETA: 0s - loss: 0.0173
172/241 [====================>.........] - ETA: 0s - loss: 0.0182
197/241 [=======================>......] - ETA: 0s - loss: 0.0196
221/241 [==========================>...] - ETA: 0s - loss: 0.0190
241/241 [==============================] - 0s 2ms/step - loss: 0.0200
    621. 

  621. -> test with GAN.predict
    622. 

  622. GAN tn, fp: 598, 5
    623. 

  623. GAN fn, tp: 12, 19
    624. 

  624. GAN f1 score: 0.691
    625. 

  625. GAN cohens kappa score: 0.677
    626. 

  626. 

  627. -> test with 'LR'
    628. 

  628. LR tn, fp: 534, 69
    629. 

  629. LR fn, tp: 6, 25
    630. 

  630. LR f1 score: 0.400
    631. 

  631. LR cohens kappa score: 0.352
    632. 

  632. LR average precision score: 0.513
    633. 

  633. 

  634. -> test with 'RF'
    635. 

  635. RF tn, fp: 601, 2
    636. 

  636. RF fn, tp: 10, 21
    637. 

  637. RF f1 score: 0.778
    638. 

  638. RF cohens kappa score: 0.768
    639. 

  639. 

  640. -> test with 'GB'
    641. 

  641. GB tn, fp: 603, 0
    642. 

  642. GB fn, tp: 6, 25
    643. 

  643. GB f1 score: 0.893
    644. 

  644. GB cohens kappa score: 0.888
    645. 

  645. 

  646. -> test with 'KNN'
    647. 

  647. KNN tn, fp: 596, 7
    648. 

  648. KNN fn, tp: 11, 20
    649. 

  649. KNN f1 score: 0.690
    650. 

  650. KNN cohens kappa score: 0.675
    651. 

  651. 

  652. 

  653. ------ Step 3/5: Slice 2/5 -------
    654. 

  654. -> Reset the GAN
    655. 

  655. -> Train generator for synthetic samples
    656. 

  656. -> create 2289 synthetic samples
    657. 

  657. -> retrain GAN for predict
    658. 

  658. Epoch 1/10
    659. 

  659. 
  1/241 [..............................] - ETA: 53s - loss: 0.0011
 36/241 [===>..........................] - ETA: 0s - loss: 0.2612 
 71/241 [=======>......................] - ETA: 0s - loss: 0.2060
 99/241 [===========>..................] - ETA: 0s - loss: 0.2047
123/241 [==============>...............] - ETA: 0s - loss: 0.2051
148/241 [=================>............] - ETA: 0s - loss: 0.1913
176/241 [====================>.........] - ETA: 0s - loss: 0.1715
199/241 [=======================>......] - ETA: 0s - loss: 0.1575
220/241 [==========================>...] - ETA: 0s - loss: 0.1495
240/241 [============================>.] - ETA: 0s - loss: 0.1431
241/241 [==============================] - 1s 2ms/step - loss: 0.1426
    660. 

  660. Epoch 2/10
    661. 

  661. 
  1/241 [..............................] - ETA: 0s - loss: 0.0548
 25/241 [==>...........................] - ETA: 0s - loss: 0.0945
 48/241 [====>.........................] - ETA: 0s - loss: 0.0740
 73/241 [========>.....................] - ETA: 0s - loss: 0.0628
103/241 [===========>..................] - ETA: 0s - loss: 0.0515
135/241 [===============>..............] - ETA: 0s - loss: 0.0551
164/241 [===================>..........] - ETA: 0s - loss: 0.0618
193/241 [=======================>......] - ETA: 0s - loss: 0.0609
222/241 [==========================>...] - ETA: 0s - loss: 0.0574
241/241 [==============================] - 0s 2ms/step - loss: 0.0566
    662. 

  662. Epoch 3/10
    663. 

  663. 
  1/241 [..............................] - ETA: 0s - loss: 4.1944e-04
 35/241 [===>..........................] - ETA: 0s - loss: 0.0397    
 62/241 [======>.......................] - ETA: 0s - loss: 0.0335
 86/241 [=========>....................] - ETA: 0s - loss: 0.0344
115/241 [=============>................] - ETA: 0s - loss: 0.0398
144/241 [================>.............] - ETA: 0s - loss: 0.0388
170/241 [====================>.........] - ETA: 0s - loss: 0.0429
199/241 [=======================>......] - ETA: 0s - loss: 0.0406
226/241 [===========================>..] - ETA: 0s - loss: 0.0439
241/241 [==============================] - 0s 2ms/step - loss: 0.0449
    664. 

  664. Epoch 4/10
    665. 

  665. 
  1/241 [..............................] - ETA: 0s - loss: 4.8671e-04
 29/241 [==>...........................] - ETA: 0s - loss: 0.0389    
 61/241 [======>.......................] - ETA: 0s - loss: 0.0400
 93/241 [==========>...................] - ETA: 0s - loss: 0.0349
123/241 [==============>...............] - ETA: 0s - loss: 0.0296
152/241 [=================>............] - ETA: 0s - loss: 0.0344
183/241 [=====================>........] - ETA: 0s - loss: 0.0346
214/241 [=========================>....] - ETA: 0s - loss: 0.0352
236/241 [============================>.] - ETA: 0s - loss: 0.0374
241/241 [==============================] - 0s 2ms/step - loss: 0.0372
    666. 

  666. Epoch 5/10
    667. 

  667. 
  1/241 [..............................] - ETA: 0s - loss: 0.0621
 24/241 [=>............................] - ETA: 0s - loss: 0.0245
 47/241 [====>.........................] - ETA: 0s - loss: 0.0258
 76/241 [========>.....................] - ETA: 0s - loss: 0.0280
104/241 [===========>..................] - ETA: 0s - loss: 0.0279
132/241 [===============>..............] - ETA: 0s - loss: 0.0255
161/241 [===================>..........] - ETA: 0s - loss: 0.0293
191/241 [======================>.......] - ETA: 0s - loss: 0.0312
226/241 [===========================>..] - ETA: 0s - loss: 0.0333
241/241 [==============================] - 0s 2ms/step - loss: 0.0345
    668. 

  668. Epoch 6/10
    669. 

  669. 
  1/241 [..............................] - ETA: 0s - loss: 2.5505e-04
 26/241 [==>...........................] - ETA: 0s - loss: 0.0497    
 51/241 [=====>........................] - ETA: 0s - loss: 0.0385
 79/241 [========>.....................] - ETA: 0s - loss: 0.0351
101/241 [===========>..................] - ETA: 0s - loss: 0.0330
123/241 [==============>...............] - ETA: 0s - loss: 0.0299
147/241 [=================>............] - ETA: 0s - loss: 0.0284
171/241 [====================>.........] - ETA: 0s - loss: 0.0294
192/241 [======================>.......] - ETA: 0s - loss: 0.0282
213/241 [=========================>....] - ETA: 0s - loss: 0.0278
234/241 [============================>.] - ETA: 0s - loss: 0.0287
241/241 [==============================] - 1s 2ms/step - loss: 0.0280
    670. 

  670. Epoch 7/10
    671. 

  671. 
  1/241 [..............................] - ETA: 0s - loss: 0.0015
 24/241 [=>............................] - ETA: 0s - loss: 0.0082
 53/241 [=====>........................] - ETA: 0s - loss: 0.0166
 81/241 [=========>....................] - ETA: 0s - loss: 0.0218
109/241 [============>.................] - ETA: 0s - loss: 0.0204
143/241 [================>.............] - ETA: 0s - loss: 0.0209
168/241 [===================>..........] - ETA: 0s - loss: 0.0239
189/241 [======================>.......] - ETA: 0s - loss: 0.0249
217/241 [==========================>...] - ETA: 0s - loss: 0.0256
240/241 [============================>.] - ETA: 0s - loss: 0.0278
241/241 [==============================] - 0s 2ms/step - loss: 0.0277
    672. 

  672. Epoch 8/10
    673. 

  673. 
  1/241 [..............................] - ETA: 0s - loss: 0.0032
 23/241 [=>............................] - ETA: 0s - loss: 0.0135
 46/241 [====>.........................] - ETA: 0s - loss: 0.0132
 71/241 [=======>......................] - ETA: 0s - loss: 0.0234
 96/241 [==========>...................] - ETA: 0s - loss: 0.0258
117/241 [=============>................] - ETA: 0s - loss: 0.0261
146/241 [=================>............] - ETA: 0s - loss: 0.0254
174/241 [====================>.........] - ETA: 0s - loss: 0.0262
202/241 [========================>.....] - ETA: 0s - loss: 0.0252
227/241 [===========================>..] - ETA: 0s - loss: 0.0236
241/241 [==============================] - 0s 2ms/step - loss: 0.0241
    674. 

  674. Epoch 9/10
    675. 

  675. 
  1/241 [..............................] - ETA: 0s - loss: 0.0201
 27/241 [==>...........................] - ETA: 0s - loss: 0.0283
 51/241 [=====>........................] - ETA: 0s - loss: 0.0208
 75/241 [========>.....................] - ETA: 0s - loss: 0.0185
105/241 [============>.................] - ETA: 0s - loss: 0.0188
133/241 [===============>..............] - ETA: 0s - loss: 0.0219
161/241 [===================>..........] - ETA: 0s - loss: 0.0232
187/241 [======================>.......] - ETA: 0s - loss: 0.0243
216/241 [=========================>....] - ETA: 0s - loss: 0.0264
241/241 [==============================] - 0s 2ms/step - loss: 0.0247
    676. 

  676. Epoch 10/10
    677. 

  677. 
  1/241 [..............................] - ETA: 0s - loss: 8.4841e-04
 33/241 [===>..........................] - ETA: 0s - loss: 0.0289    
 59/241 [======>.......................] - ETA: 0s - loss: 0.0235
 79/241 [========>.....................] - ETA: 0s - loss: 0.0217
100/241 [===========>..................] - ETA: 0s - loss: 0.0233
118/241 [=============>................] - ETA: 0s - loss: 0.0252
138/241 [================>.............] - ETA: 0s - loss: 0.0236
166/241 [===================>..........] - ETA: 0s - loss: 0.0222
196/241 [=======================>......] - ETA: 0s - loss: 0.0228
225/241 [===========================>..] - ETA: 0s - loss: 0.0228
241/241 [==============================] - 0s 2ms/step - loss: 0.0221
    678. 

  678. -> test with GAN.predict
    679. 

  679. GAN tn, fp: 586, 17
    680. 

  680. GAN fn, tp: 6, 25
    681. 

  681. GAN f1 score: 0.685
    682. 

  682. GAN cohens kappa score: 0.666
    683. 

  683. 

  684. -> test with 'LR'
    685. 

  685. LR tn, fp: 546, 57
    686. 

  686. LR fn, tp: 11, 20
    687. 

  687. LR f1 score: 0.370
    688. 

  688. LR cohens kappa score: 0.323
    689. 

  689. LR average precision score: 0.315
    690. 

  690. 

  691. -> test with 'RF'
    692. 

  692. RF tn, fp: 595, 8
    693. 

  693. RF fn, tp: 3, 28
    694. 

  694. RF f1 score: 0.836
    695. 

  695. RF cohens kappa score: 0.827
    696. 

  696. 

  697. -> test with 'GB'
    698. 

  698. GB tn, fp: 592, 11
    699. 

  699. GB fn, tp: 3, 28
    700. 

  700. GB f1 score: 0.800
    701. 

  701. GB cohens kappa score: 0.788
    702. 

  702. 

  703. -> test with 'KNN'
    704. 

  704. KNN tn, fp: 582, 21
    705. 

  705. KNN fn, tp: 9, 22
    706. 

  706. KNN f1 score: 0.595
    707. 

  707. KNN cohens kappa score: 0.570
    708. 

  708. 

  709. 

  710. ------ Step 3/5: Slice 3/5 -------
    711. 

  711. -> Reset the GAN
    712. 

  712. -> Train generator for synthetic samples
    713. 

  713. -> create 2289 synthetic samples
    714. 

  714. -> retrain GAN for predict
    715. 

  715. Epoch 1/10
    716. 

  716. 
  1/241 [..............................] - ETA: 1:20 - loss: 0.6146
 18/241 [=>............................] - ETA: 0s - loss: 0.4751  
 33/241 [===>..........................] - ETA: 0s - loss: 0.3590
 50/241 [=====>........................] - ETA: 0s - loss: 0.2893
 69/241 [=======>......................] - ETA: 0s - loss: 0.2411
 98/241 [===========>..................] - ETA: 0s - loss: 0.2115
123/241 [==============>...............] - ETA: 0s - loss: 0.1985
147/241 [=================>............] - ETA: 0s - loss: 0.1791
169/241 [====================>.........] - ETA: 0s - loss: 0.1676
191/241 [======================>.......] - ETA: 0s - loss: 0.1563
214/241 [=========================>....] - ETA: 0s - loss: 0.1447
237/241 [============================>.] - ETA: 0s - loss: 0.1349
241/241 [==============================] - 1s 2ms/step - loss: 0.1328
    717. 

  717. Epoch 2/10
    718. 

  718. 
  1/241 [..............................] - ETA: 0s - loss: 0.0025
 28/241 [==>...........................] - ETA: 0s - loss: 0.0711
 54/241 [=====>........................] - ETA: 0s - loss: 0.0499
 79/241 [========>.....................] - ETA: 0s - loss: 0.0505
104/241 [===========>..................] - ETA: 0s - loss: 0.0522
130/241 [===============>..............] - ETA: 0s - loss: 0.0501
154/241 [==================>...........] - ETA: 0s - loss: 0.0576
179/241 [=====================>........] - ETA: 0s - loss: 0.0554
205/241 [========================>.....] - ETA: 0s - loss: 0.0549
233/241 [============================>.] - ETA: 0s - loss: 0.0565
241/241 [==============================] - 0s 2ms/step - loss: 0.0552
    719. 

  719. Epoch 3/10
    720. 

  720. 
  1/241 [..............................] - ETA: 0s - loss: 0.0022
 25/241 [==>...........................] - ETA: 0s - loss: 0.0231
 50/241 [=====>........................] - ETA: 0s - loss: 0.0362
 75/241 [========>.....................] - ETA: 0s - loss: 0.0387
102/241 [===========>..................] - ETA: 0s - loss: 0.0349
126/241 [==============>...............] - ETA: 0s - loss: 0.0352
151/241 [=================>............] - ETA: 0s - loss: 0.0352
178/241 [=====================>........] - ETA: 0s - loss: 0.0356
205/241 [========================>.....] - ETA: 0s - loss: 0.0395
231/241 [===========================>..] - ETA: 0s - loss: 0.0390
241/241 [==============================] - 0s 2ms/step - loss: 0.0389
    721. 

  721. Epoch 4/10
    722. 

  722. 
  1/241 [..............................] - ETA: 0s - loss: 0.0016
 30/241 [==>...........................] - ETA: 0s - loss: 0.0157
 56/241 [=====>........................] - ETA: 0s - loss: 0.0283
 86/241 [=========>....................] - ETA: 0s - loss: 0.0291
113/241 [=============>................] - ETA: 0s - loss: 0.0276
140/241 [================>.............] - ETA: 0s - loss: 0.0281
160/241 [==================>...........] - ETA: 0s - loss: 0.0314
183/241 [=====================>........] - ETA: 0s - loss: 0.0328
206/241 [========================>.....] - ETA: 0s - loss: 0.0341
228/241 [===========================>..] - ETA: 0s - loss: 0.0334
241/241 [==============================] - 0s 2ms/step - loss: 0.0345
    723. 

  723. Epoch 5/10
    724. 

  724. 
  1/241 [..............................] - ETA: 0s - loss: 0.0044
 22/241 [=>............................] - ETA: 0s - loss: 0.0342
 48/241 [====>.........................] - ETA: 0s - loss: 0.0373
 68/241 [=======>......................] - ETA: 0s - loss: 0.0389
 84/241 [=========>....................] - ETA: 0s - loss: 0.0420
 97/241 [===========>..................] - ETA: 0s - loss: 0.0385
107/241 [============>.................] - ETA: 0s - loss: 0.0375
114/241 [=============>................] - ETA: 0s - loss: 0.0358
125/241 [==============>...............] - ETA: 0s - loss: 0.0358
134/241 [===============>..............] - ETA: 0s - loss: 0.0365
144/241 [================>.............] - ETA: 0s - loss: 0.0354
156/241 [==================>...........] - ETA: 0s - loss: 0.0351
170/241 [====================>.........] - ETA: 0s - loss: 0.0388
183/241 [=====================>........] - ETA: 0s - loss: 0.0368
196/241 [=======================>......] - ETA: 0s - loss: 0.0375
215/241 [=========================>....] - ETA: 0s - loss: 0.0357
238/241 [============================>.] - ETA: 0s - loss: 0.0354
241/241 [==============================] - 1s 4ms/step - loss: 0.0350
    725. 

  725. Epoch 6/10
    726. 

  726. 
  1/241 [..............................] - ETA: 0s - loss: 0.0027
 26/241 [==>...........................] - ETA: 0s - loss: 0.0205
 50/241 [=====>........................] - ETA: 0s - loss: 0.0190
 66/241 [=======>......................] - ETA: 0s - loss: 0.0238
 84/241 [=========>....................] - ETA: 0s - loss: 0.0282
 91/241 [==========>...................] - ETA: 0s - loss: 0.0326
106/241 [============>.................] - ETA: 0s - loss: 0.0292
129/241 [===============>..............] - ETA: 0s - loss: 0.0260
153/241 [==================>...........] - ETA: 0s - loss: 0.0247
176/241 [====================>.........] - ETA: 0s - loss: 0.0235
200/241 [=======================>......] - ETA: 0s - loss: 0.0232
229/241 [===========================>..] - ETA: 0s - loss: 0.0254
241/241 [==============================] - 1s 2ms/step - loss: 0.0266
    727. 

  727. Epoch 7/10
    728. 

  728. 
  1/241 [..............................] - ETA: 0s - loss: 0.0073
 19/241 [=>............................] - ETA: 0s - loss: 0.0245
 35/241 [===>..........................] - ETA: 0s - loss: 0.0277
 55/241 [=====>........................] - ETA: 0s - loss: 0.0216
 76/241 [========>.....................] - ETA: 0s - loss: 0.0298
 92/241 [==========>...................] - ETA: 0s - loss: 0.0333
109/241 [============>.................] - ETA: 0s - loss: 0.0323
131/241 [===============>..............] - ETA: 0s - loss: 0.0316
153/241 [==================>...........] - ETA: 0s - loss: 0.0300
169/241 [====================>.........] - ETA: 0s - loss: 0.0302
193/241 [=======================>......] - ETA: 0s - loss: 0.0285
214/241 [=========================>....] - ETA: 0s - loss: 0.0284
234/241 [============================>.] - ETA: 0s - loss: 0.0265
241/241 [==============================] - 1s 3ms/step - loss: 0.0260
    729. 

  729. Epoch 8/10
    730. 

  730. 
  1/241 [..............................] - ETA: 0s - loss: 0.0516
 23/241 [=>............................] - ETA: 0s - loss: 0.0270
 46/241 [====>.........................] - ETA: 0s - loss: 0.0229
 68/241 [=======>......................] - ETA: 0s - loss: 0.0288
 83/241 [=========>....................] - ETA: 0s - loss: 0.0264
103/241 [===========>..................] - ETA: 0s - loss: 0.0253
125/241 [==============>...............] - ETA: 0s - loss: 0.0274
144/241 [================>.............] - ETA: 0s - loss: 0.0255
155/241 [==================>...........] - ETA: 0s - loss: 0.0240
169/241 [====================>.........] - ETA: 0s - loss: 0.0251
186/241 [======================>.......] - ETA: 0s - loss: 0.0247
206/241 [========================>.....] - ETA: 0s - loss: 0.0252
226/241 [===========================>..] - ETA: 0s - loss: 0.0269
240/241 [============================>.] - ETA: 0s - loss: 0.0269
241/241 [==============================] - 1s 3ms/step - loss: 0.0270
    731. 

  731. Epoch 9/10
    732. 

  732. 
  1/241 [..............................] - ETA: 0s - loss: 0.0044
 24/241 [=>............................] - ETA: 0s - loss: 0.0214
 47/241 [====>.........................] - ETA: 0s - loss: 0.0142
 67/241 [=======>......................] - ETA: 0s - loss: 0.0184
 91/241 [==========>...................] - ETA: 0s - loss: 0.0210
113/241 [=============>................] - ETA: 0s - loss: 0.0227
135/241 [===============>..............] - ETA: 0s - loss: 0.0220
161/241 [===================>..........] - ETA: 0s - loss: 0.0232
188/241 [======================>.......] - ETA: 0s - loss: 0.0232
217/241 [==========================>...] - ETA: 0s - loss: 0.0247
241/241 [==============================] - 1s 2ms/step - loss: 0.0242
    733. 

  733. Epoch 10/10
    734. 

  734. 
  1/241 [..............................] - ETA: 0s - loss: 0.0094
 28/241 [==>...........................] - ETA: 0s - loss: 0.0145
 52/241 [=====>........................] - ETA: 0s - loss: 0.0253
 78/241 [========>.....................] - ETA: 0s - loss: 0.0239
108/241 [============>.................] - ETA: 0s - loss: 0.0280
133/241 [===============>..............] - ETA: 0s - loss: 0.0260
158/241 [==================>...........] - ETA: 0s - loss: 0.0244
186/241 [======================>.......] - ETA: 0s - loss: 0.0240
216/241 [=========================>....] - ETA: 0s - loss: 0.0245
241/241 [==============================] - 0s 2ms/step - loss: 0.0258
    735. 

  735. -> test with GAN.predict
    736. 

  736. GAN tn, fp: 589, 14
    737. 

  737. GAN fn, tp: 7, 24
    738. 

  738. GAN f1 score: 0.696
    739. 

  739. GAN cohens kappa score: 0.678
    740. 

  740. 

  741. -> test with 'LR'
    742. 

  742. LR tn, fp: 538, 65
    743. 

  743. LR fn, tp: 1, 30
    744. 

  744. LR f1 score: 0.476
    745. 

  745. LR cohens kappa score: 0.434
    746. 

  746. LR average precision score: 0.586
    747. 

  747. 

  748. -> test with 'RF'
    749. 

  749. RF tn, fp: 598, 5
    750. 

  750. RF fn, tp: 6, 25
    751. 

  751. RF f1 score: 0.820
    752. 

  752. RF cohens kappa score: 0.811
    753. 

  753. 

  754. -> test with 'GB'
    755. 

  755. GB tn, fp: 592, 11
    756. 

  756. GB fn, tp: 5, 26
    757. 

  757. GB f1 score: 0.765
    758. 

  758. GB cohens kappa score: 0.751
    759. 

  759. 

  760. -> test with 'KNN'
    761. 

  761. KNN tn, fp: 586, 17
    762. 

  762. KNN fn, tp: 10, 21
    763. 

  763. KNN f1 score: 0.609
    764. 

  764. KNN cohens kappa score: 0.586
    765. 

  765. 

  766. 

  767. ------ Step 3/5: Slice 4/5 -------
    768. 

  768. -> Reset the GAN
    769. 

  769. -> Train generator for synthetic samples
    770. 

  770. -> create 2289 synthetic samples
    771. 

  771. -> retrain GAN for predict
    772. 

  772. Epoch 1/10
    773. 

  773. 
  1/241 [..............................] - ETA: 54s - loss: 0.7843
 40/241 [===>..........................] - ETA: 0s - loss: 0.1378 
 80/241 [========>.....................] - ETA: 0s - loss: 0.1339
111/241 [============>.................] - ETA: 0s - loss: 0.1250
145/241 [=================>............] - ETA: 0s - loss: 0.1189
176/241 [====================>.........] - ETA: 0s - loss: 0.1160
206/241 [========================>.....] - ETA: 0s - loss: 0.1119
235/241 [============================>.] - ETA: 0s - loss: 0.1135
241/241 [==============================] - 1s 2ms/step - loss: 0.1118
    774. 

  774. Epoch 2/10
    775. 

  775. 
  1/241 [..............................] - ETA: 0s - loss: 0.0174
 31/241 [==>...........................] - ETA: 0s - loss: 0.0647
 60/241 [======>.......................] - ETA: 0s - loss: 0.0476
 90/241 [==========>...................] - ETA: 0s - loss: 0.0522
119/241 [=============>................] - ETA: 0s - loss: 0.0568
143/241 [================>.............] - ETA: 0s - loss: 0.0495
161/241 [===================>..........] - ETA: 0s - loss: 0.0467
189/241 [======================>.......] - ETA: 0s - loss: 0.0459
216/241 [=========================>....] - ETA: 0s - loss: 0.0476
241/241 [==============================] - 0s 2ms/step - loss: 0.0493
    776. 

  776. Epoch 3/10
    777. 

  777. 
  1/241 [..............................] - ETA: 0s - loss: 5.3472e-04
 30/241 [==>...........................] - ETA: 0s - loss: 0.0310    
 59/241 [======>.......................] - ETA: 0s - loss: 0.0273
 88/241 [=========>....................] - ETA: 0s - loss: 0.0335
118/241 [=============>................] - ETA: 0s - loss: 0.0323
153/241 [==================>...........] - ETA: 0s - loss: 0.0360
186/241 [======================>.......] - ETA: 0s - loss: 0.0356
205/241 [========================>.....] - ETA: 0s - loss: 0.0370
233/241 [============================>.] - ETA: 0s - loss: 0.0374
241/241 [==============================] - 0s 2ms/step - loss: 0.0385
    778. 

  778. Epoch 4/10
    779. 

  779. 
  1/241 [..............................] - ETA: 0s - loss: 0.0095
 39/241 [===>..........................] - ETA: 0s - loss: 0.0268
 61/241 [======>.......................] - ETA: 0s - loss: 0.0242
 90/241 [==========>...................] - ETA: 0s - loss: 0.0284
118/241 [=============>................] - ETA: 0s - loss: 0.0287
157/241 [==================>...........] - ETA: 0s - loss: 0.0286
196/241 [=======================>......] - ETA: 0s - loss: 0.0291
229/241 [===========================>..] - ETA: 0s - loss: 0.0300
241/241 [==============================] - 0s 2ms/step - loss: 0.0306
    780. 

  780. Epoch 5/10
    781. 

  781. 
  1/241 [..............................] - ETA: 0s - loss: 0.2246
 35/241 [===>..........................] - ETA: 0s - loss: 0.0279
 67/241 [=======>......................] - ETA: 0s - loss: 0.0239
 97/241 [===========>..................] - ETA: 0s - loss: 0.0262
129/241 [===============>..............] - ETA: 0s - loss: 0.0324
164/241 [===================>..........] - ETA: 0s - loss: 0.0325
198/241 [=======================>......] - ETA: 0s - loss: 0.0293
229/241 [===========================>..] - ETA: 0s - loss: 0.0308
241/241 [==============================] - 0s 2ms/step - loss: 0.0309
    782. 

  782. Epoch 6/10
    783. 

  783. 
  1/241 [..............................] - ETA: 0s - loss: 0.0081
 35/241 [===>..........................] - ETA: 0s - loss: 0.0204
 66/241 [=======>......................] - ETA: 0s - loss: 0.0366
101/241 [===========>..................] - ETA: 0s - loss: 0.0338
139/241 [================>.............] - ETA: 0s - loss: 0.0323
177/241 [=====================>........] - ETA: 0s - loss: 0.0282
212/241 [=========================>....] - ETA: 0s - loss: 0.0299
241/241 [==============================] - 0s 1ms/step - loss: 0.0291
    784. 

  784. Epoch 7/10
    785. 

  785. 
  1/241 [..............................] - ETA: 0s - loss: 8.4804e-04
 39/241 [===>..........................] - ETA: 0s - loss: 0.0298    
 77/241 [========>.....................] - ETA: 0s - loss: 0.0261
113/241 [=============>................] - ETA: 0s - loss: 0.0277
153/241 [==================>...........] - ETA: 0s - loss: 0.0304
187/241 [======================>.......] - ETA: 0s - loss: 0.0288
227/241 [===========================>..] - ETA: 0s - loss: 0.0277
241/241 [==============================] - 0s 1ms/step - loss: 0.0274
    786. 

  786. Epoch 8/10
    787. 

  787. 
  1/241 [..............................] - ETA: 0s - loss: 0.2360
 34/241 [===>..........................] - ETA: 0s - loss: 0.0227
 65/241 [=======>......................] - ETA: 0s - loss: 0.0183
 97/241 [===========>..................] - ETA: 0s - loss: 0.0278
134/241 [===============>..............] - ETA: 0s - loss: 0.0270
173/241 [====================>.........] - ETA: 0s - loss: 0.0277
211/241 [=========================>....] - ETA: 0s - loss: 0.0252
241/241 [==============================] - 0s 1ms/step - loss: 0.0248
    788. 

  788. Epoch 9/10
    789. 

  789. 
  1/241 [..............................] - ETA: 0s - loss: 0.0053
 40/241 [===>..........................] - ETA: 0s - loss: 0.0130
 77/241 [========>.....................] - ETA: 0s - loss: 0.0143
112/241 [============>.................] - ETA: 0s - loss: 0.0204
149/241 [=================>............] - ETA: 0s - loss: 0.0195
186/241 [======================>.......] - ETA: 0s - loss: 0.0209
224/241 [==========================>...] - ETA: 0s - loss: 0.0232
241/241 [==============================] - 0s 1ms/step - loss: 0.0242
    790. 

  790. Epoch 10/10
    791. 

  791. 
  1/241 [..............................] - ETA: 0s - loss: 8.3935e-05
 38/241 [===>..........................] - ETA: 0s - loss: 0.0333    
 76/241 [========>.....................] - ETA: 0s - loss: 0.0306
114/241 [=============>................] - ETA: 0s - loss: 0.0276
153/241 [==================>...........] - ETA: 0s - loss: 0.0254
190/241 [======================>.......] - ETA: 0s - loss: 0.0230
226/241 [===========================>..] - ETA: 0s - loss: 0.0223
241/241 [==============================] - 0s 1ms/step - loss: 0.0226
    792. 

  792. -> test with GAN.predict
    793. 

  793. GAN tn, fp: 596, 7
    794. 

  794. GAN fn, tp: 12, 19
    795. 

  795. GAN f1 score: 0.667
    796. 

  796. GAN cohens kappa score: 0.651
    797. 

  797. 

  798. -> test with 'LR'
    799. 

  799. LR tn, fp: 545, 58
    800. 

  800. LR fn, tp: 3, 28
    801. 

  801. LR f1 score: 0.479
    802. 

  802. LR cohens kappa score: 0.438
    803. 

  803. LR average precision score: 0.473
    804. 

  804. 

  805. -> test with 'RF'
    806. 

  806. RF tn, fp: 596, 7
    807. 

  807. RF fn, tp: 11, 20
    808. 

  808. RF f1 score: 0.690
    809. 

  809. RF cohens kappa score: 0.675
    810. 

  810. 

  811. -> test with 'GB'
    812. 

  812. GB tn, fp: 594, 9
    813. 

  813. GB fn, tp: 7, 24
    814. 

  814. GB f1 score: 0.750
    815. 

  815. GB cohens kappa score: 0.737
    816. 

  816. 

  817. -> test with 'KNN'
    818. 

  818. KNN tn, fp: 590, 13
    819. 

  819. KNN fn, tp: 12, 19
    820. 

  820. KNN f1 score: 0.603
    821. 

  821. KNN cohens kappa score: 0.582
    822. 

  822. 

  823. 

  824. ------ Step 3/5: Slice 5/5 -------
    825. 

  825. -> Reset the GAN
    826. 

  826. -> Train generator for synthetic samples
    827. 

  827. -> create 2288 synthetic samples
    828. 

  828. -> retrain GAN for predict
    829. 

  829. Epoch 1/10
    830. 

  830. 
  1/242 [..............................] - ETA: 54s - loss: 0.4291
 39/242 [===>..........................] - ETA: 0s - loss: 0.4116 
 78/242 [========>.....................] - ETA: 0s - loss: 0.3054
117/242 [=============>................] - ETA: 0s - loss: 0.2426
156/242 [==================>...........] - ETA: 0s - loss: 0.2048
195/242 [=======================>......] - ETA: 0s - loss: 0.1777
235/242 [============================>.] - ETA: 0s - loss: 0.1604
242/242 [==============================] - 1s 1ms/step - loss: 0.1583
    831. 

  831. Epoch 2/10
    832. 

  832. 
  1/242 [..............................] - ETA: 0s - loss: 0.0030
 40/242 [===>..........................] - ETA: 0s - loss: 0.0635
 79/242 [========>.....................] - ETA: 0s - loss: 0.0673
117/242 [=============>................] - ETA: 0s - loss: 0.0739
156/242 [==================>...........] - ETA: 0s - loss: 0.0674
195/242 [=======================>......] - ETA: 0s - loss: 0.0649
234/242 [============================>.] - ETA: 0s - loss: 0.0650
242/242 [==============================] - 0s 1ms/step - loss: 0.0663
    833. 

  833. Epoch 3/10
    834. 

  834. 
  1/242 [..............................] - ETA: 0s - loss: 0.0166
 38/242 [===>..........................] - ETA: 0s - loss: 0.0393
 76/242 [========>.....................] - ETA: 0s - loss: 0.0406
113/242 [=============>................] - ETA: 0s - loss: 0.0570
151/242 [=================>............] - ETA: 0s - loss: 0.0575
190/242 [======================>.......] - ETA: 0s - loss: 0.0544
229/242 [===========================>..] - ETA: 0s - loss: 0.0562
242/242 [==============================] - 0s 1ms/step - loss: 0.0549
    835. 

  835. Epoch 4/10
    836. 

  836. 
  1/242 [..............................] - ETA: 0s - loss: 0.0171
 37/242 [===>..........................] - ETA: 0s - loss: 0.0457
 71/242 [=======>......................] - ETA: 0s - loss: 0.0527
108/242 [============>.................] - ETA: 0s - loss: 0.0557
146/242 [=================>............] - ETA: 0s - loss: 0.0487
185/242 [=====================>........] - ETA: 0s - loss: 0.0445
223/242 [==========================>...] - ETA: 0s - loss: 0.0471
242/242 [==============================] - 0s 1ms/step - loss: 0.0479
    837. 

  837. Epoch 5/10
    838. 

  838. 
  1/242 [..............................] - ETA: 0s - loss: 0.1113
 38/242 [===>..........................] - ETA: 0s - loss: 0.0342
 75/242 [========>.....................] - ETA: 0s - loss: 0.0272
112/242 [============>.................] - ETA: 0s - loss: 0.0329
146/242 [=================>............] - ETA: 0s - loss: 0.0347
183/242 [=====================>........] - ETA: 0s - loss: 0.0383
221/242 [==========================>...] - ETA: 0s - loss: 0.0395
242/242 [==============================] - 0s 1ms/step - loss: 0.0434
    839. 

  839. Epoch 6/10
    840. 

  840. 
  1/242 [..............................] - ETA: 0s - loss: 0.0152
 39/242 [===>..........................] - ETA: 0s - loss: 0.0318
 74/242 [========>.....................] - ETA: 0s - loss: 0.0328
112/242 [============>.................] - ETA: 0s - loss: 0.0375
149/242 [=================>............] - ETA: 0s - loss: 0.0400
188/242 [======================>.......] - ETA: 0s - loss: 0.0386
225/242 [==========================>...] - ETA: 0s - loss: 0.0387
242/242 [==============================] - 0s 1ms/step - loss: 0.0403
    841. 

  841. Epoch 7/10
    842. 

  842. 
  1/242 [..............................] - ETA: 0s - loss: 0.1703
 34/242 [===>..........................] - ETA: 0s - loss: 0.0433
 67/242 [=======>......................] - ETA: 0s - loss: 0.0470
104/242 [===========>..................] - ETA: 0s - loss: 0.0436
140/242 [================>.............] - ETA: 0s - loss: 0.0431
178/242 [=====================>........] - ETA: 0s - loss: 0.0401
217/242 [=========================>....] - ETA: 0s - loss: 0.0407
242/242 [==============================] - 0s 1ms/step - loss: 0.0396
    843. 

  843. Epoch 8/10
    844. 

  844. 
  1/242 [..............................] - ETA: 0s - loss: 0.0749
 40/242 [===>..........................] - ETA: 0s - loss: 0.0428
 79/242 [========>.....................] - ETA: 0s - loss: 0.0400
119/242 [=============>................] - ETA: 0s - loss: 0.0384
156/242 [==================>...........] - ETA: 0s - loss: 0.0361
194/242 [=======================>......] - ETA: 0s - loss: 0.0329
233/242 [===========================>..] - ETA: 0s - loss: 0.0342
242/242 [==============================] - 0s 1ms/step - loss: 0.0345
    845. 

  845. Epoch 9/10
    846. 

  846. 
  1/242 [..............................] - ETA: 0s - loss: 0.0267
 39/242 [===>..........................] - ETA: 0s - loss: 0.0357
 79/242 [========>.....................] - ETA: 0s - loss: 0.0336
121/242 [==============>...............] - ETA: 0s - loss: 0.0360
159/242 [==================>...........] - ETA: 0s - loss: 0.0338
199/242 [=======================>......] - ETA: 0s - loss: 0.0325
238/242 [============================>.] - ETA: 0s - loss: 0.0326
242/242 [==============================] - 0s 1ms/step - loss: 0.0327
    847. 

  847. Epoch 10/10
    848. 

  848. 
  1/242 [..............................] - ETA: 0s - loss: 0.0407
 40/242 [===>..........................] - ETA: 0s - loss: 0.0288
 79/242 [========>.....................] - ETA: 0s - loss: 0.0296
118/242 [=============>................] - ETA: 0s - loss: 0.0300
152/242 [=================>............] - ETA: 0s - loss: 0.0299
191/242 [======================>.......] - ETA: 0s - loss: 0.0320
229/242 [===========================>..] - ETA: 0s - loss: 0.0310
242/242 [==============================] - 0s 1ms/step - loss: 0.0309
    849. 

  849. -> test with GAN.predict
    850. 

  850. GAN tn, fp: 590, 10
    851. 

  851. GAN fn, tp: 3, 24
    852. 

  852. GAN f1 score: 0.787
    853. 

  853. GAN cohens kappa score: 0.776
    854. 

  854. 

  855. -> test with 'LR'
    856. 

  856. LR tn, fp: 535, 65
    857. 

  857. LR fn, tp: 6, 21
    858. 

  858. LR f1 score: 0.372
    859. 

  859. LR cohens kappa score: 0.328
    860. 

  860. LR average precision score: 0.348
    861. 

  861. 

  862. -> test with 'RF'
    863. 

  863. RF tn, fp: 597, 3
    864. 

  864. RF fn, tp: 4, 23
    865. 

  865. RF f1 score: 0.868
    866. 

  866. RF cohens kappa score: 0.862
    867. 

  867. 

  868. -> test with 'GB'
    869. 

  869. GB tn, fp: 597, 3
    870. 

  870. GB fn, tp: 1, 26
    871. 

  871. GB f1 score: 0.929
    872. 

  872. GB cohens kappa score: 0.925
    873. 

  873. 

  874. -> test with 'KNN'
    875. 

  875. KNN tn, fp: 593, 7
    876. 

  876. KNN fn, tp: 4, 23
    877. 

  877. KNN f1 score: 0.807
    878. 

  878. KNN cohens kappa score: 0.798
    879. 

  879. 

  880. 

  881. ====== Step 4/5 =======
    882. 

  882. -> Shuffling data
    883. 

  883. -> Spliting data to slices
    884. 

  884. 

  885. ------ Step 4/5: Slice 1/5 -------
    886. 

  886. -> Reset the GAN
    887. 

  887. -> Train generator for synthetic samples
    888. 

  888. -> create 2289 synthetic samples
    889. 

  889. -> retrain GAN for predict
    890. 

  890. Epoch 1/10
    891. 

  891. 
  1/241 [..............................] - ETA: 52s - loss: 4.0647
 40/241 [===>..........................] - ETA: 0s - loss: 0.3617 
 78/241 [========>.....................] - ETA: 0s - loss: 0.3575
117/241 [=============>................] - ETA: 0s - loss: 0.2735
154/241 [==================>...........] - ETA: 0s - loss: 0.2309
193/241 [=======================>......] - ETA: 0s - loss: 0.1956
227/241 [===========================>..] - ETA: 0s - loss: 0.1802
241/241 [==============================] - 1s 1ms/step - loss: 0.1730
    892. 

  892. Epoch 2/10
    893. 

  893. 
  1/241 [..............................] - ETA: 0s - loss: 0.0061
 33/241 [===>..........................] - ETA: 0s - loss: 0.0618
 69/241 [=======>......................] - ETA: 0s - loss: 0.0662
107/241 [============>.................] - ETA: 0s - loss: 0.0673
145/241 [=================>............] - ETA: 0s - loss: 0.0584
186/241 [======================>.......] - ETA: 0s - loss: 0.0528
225/241 [===========================>..] - ETA: 0s - loss: 0.0543
241/241 [==============================] - 0s 1ms/step - loss: 0.0539
    894. 

  894. Epoch 3/10
    895. 

  895. 
  1/241 [..............................] - ETA: 0s - loss: 0.0064
 41/241 [====>.........................] - ETA: 0s - loss: 0.0381
 78/241 [========>.....................] - ETA: 0s - loss: 0.0360
117/241 [=============>................] - ETA: 0s - loss: 0.0379
156/241 [==================>...........] - ETA: 0s - loss: 0.0430
192/241 [======================>.......] - ETA: 0s - loss: 0.0451
231/241 [===========================>..] - ETA: 0s - loss: 0.0449
241/241 [==============================] - 0s 1ms/step - loss: 0.0437
    896. 

  896. Epoch 4/10
    897. 

  897. 
  1/241 [..............................] - ETA: 0s - loss: 0.0030
 39/241 [===>..........................] - ETA: 0s - loss: 0.0283
 79/241 [========>.....................] - ETA: 0s - loss: 0.0289
118/241 [=============>................] - ETA: 0s - loss: 0.0309
158/241 [==================>...........] - ETA: 0s - loss: 0.0364
199/241 [=======================>......] - ETA: 0s - loss: 0.0370
237/241 [============================>.] - ETA: 0s - loss: 0.0355
241/241 [==============================] - 0s 1ms/step - loss: 0.0351
    898. 

  898. Epoch 5/10
    899. 

  899. 
  1/241 [..............................] - ETA: 0s - loss: 0.0446
 37/241 [===>..........................] - ETA: 0s - loss: 0.0292
 75/241 [========>.....................] - ETA: 0s - loss: 0.0298
114/241 [=============>................] - ETA: 0s - loss: 0.0258
154/241 [==================>...........] - ETA: 0s - loss: 0.0260
193/241 [=======================>......] - ETA: 0s - loss: 0.0338
227/241 [===========================>..] - ETA: 0s - loss: 0.0330
241/241 [==============================] - 0s 1ms/step - loss: 0.0327
    900. 

  900. Epoch 6/10
    901. 

  901. 
  1/241 [..............................] - ETA: 0s - loss: 0.0418
 38/241 [===>..........................] - ETA: 0s - loss: 0.0171
 76/241 [========>.....................] - ETA: 0s - loss: 0.0398
115/241 [=============>................] - ETA: 0s - loss: 0.0400
154/241 [==================>...........] - ETA: 0s - loss: 0.0354
193/241 [=======================>......] - ETA: 0s - loss: 0.0318
232/241 [===========================>..] - ETA: 0s - loss: 0.0285
241/241 [==============================] - 0s 1ms/step - loss: 0.0298
    902. 

  902. Epoch 7/10
    903. 

  903. 
  1/241 [..............................] - ETA: 0s - loss: 0.0018
 40/241 [===>..........................] - ETA: 0s - loss: 0.0241
 79/241 [========>.....................] - ETA: 0s - loss: 0.0274
119/241 [=============>................] - ETA: 0s - loss: 0.0274
157/241 [==================>...........] - ETA: 0s - loss: 0.0299
194/241 [=======================>......] - ETA: 0s - loss: 0.0296
229/241 [===========================>..] - ETA: 0s - loss: 0.0283
241/241 [==============================] - 0s 1ms/step - loss: 0.0273
    904. 

  904. Epoch 8/10
    905. 

  905. 
  1/241 [..............................] - ETA: 0s - loss: 0.0976
 40/241 [===>..........................] - ETA: 0s - loss: 0.0290
 80/241 [========>.....................] - ETA: 0s - loss: 0.0283
118/241 [=============>................] - ETA: 0s - loss: 0.0281
149/241 [=================>............] - ETA: 0s - loss: 0.0251
180/241 [=====================>........] - ETA: 0s - loss: 0.0241
213/241 [=========================>....] - ETA: 0s - loss: 0.0231
241/241 [==============================] - 0s 1ms/step - loss: 0.0244
    906. 

  906. Epoch 9/10
    907. 

  907. 
  1/241 [..............................] - ETA: 0s - loss: 0.0480
 40/241 [===>..........................] - ETA: 0s - loss: 0.0186
 76/241 [========>.....................] - ETA: 0s - loss: 0.0209
113/241 [=============>................] - ETA: 0s - loss: 0.0245
151/241 [=================>............] - ETA: 0s - loss: 0.0268
190/241 [======================>.......] - ETA: 0s - loss: 0.0262
230/241 [===========================>..] - ETA: 0s - loss: 0.0249
241/241 [==============================] - 0s 1ms/step - loss: 0.0245
    908. 

  908. Epoch 10/10
    909. 

  909. 
  1/241 [..............................] - ETA: 0s - loss: 0.0042
 40/241 [===>..........................] - ETA: 0s - loss: 0.0169
 79/241 [========>.....................] - ETA: 0s - loss: 0.0148
118/241 [=============>................] - ETA: 0s - loss: 0.0190
157/241 [==================>...........] - ETA: 0s - loss: 0.0197
196/241 [=======================>......] - ETA: 0s - loss: 0.0215
236/241 [============================>.] - ETA: 0s - loss: 0.0241
241/241 [==============================] - 0s 1ms/step - loss: 0.0241
    910. 

  910. -> test with GAN.predict
    911. 

  911. GAN tn, fp: 586, 17
    912. 

  912. GAN fn, tp: 9, 22
    913. 

  913. GAN f1 score: 0.629
    914. 

  914. GAN cohens kappa score: 0.607
    915. 

  915. 

  916. -> test with 'LR'
    917. 

  917. LR tn, fp: 548, 55
    918. 

  918. LR fn, tp: 7, 24
    919. 

  919. LR f1 score: 0.436
    920. 

  920. LR cohens kappa score: 0.394
    921. 

  921. LR average precision score: 0.423
    922. 

  922. 

  923. -> test with 'RF'
    924. 

  924. RF tn, fp: 600, 3
    925. 

  925. RF fn, tp: 6, 25
    926. 

  926. RF f1 score: 0.847
    927. 

  927. RF cohens kappa score: 0.840
    928. 

  928. 

  929. -> test with 'GB'
    930. 

  930. GB tn, fp: 595, 8
    931. 

  931. GB fn, tp: 3, 28
    932. 

  932. GB f1 score: 0.836
    933. 

  933. GB cohens kappa score: 0.827
    934. 

  934. 

  935. -> test with 'KNN'
    936. 

  936. KNN tn, fp: 595, 8
    937. 

  937. KNN fn, tp: 13, 18
    938. 

  938. KNN f1 score: 0.632
    939. 

  939. KNN cohens kappa score: 0.614
    940. 

  940. 

  941. 

  942. ------ Step 4/5: Slice 2/5 -------
    943. 

  943. -> Reset the GAN
    944. 

  944. -> Train generator for synthetic samples
    945. 

  945. -> create 2289 synthetic samples
    946. 

  946. -> retrain GAN for predict
    947. 

  947. Epoch 1/10
    948. 

  948. 
  1/241 [..............................] - ETA: 51s - loss: 0.1543
 42/241 [====>.........................] - ETA: 0s - loss: 0.3513 
 81/241 [=========>....................] - ETA: 0s - loss: 0.2410
120/241 [=============>................] - ETA: 0s - loss: 0.2008
161/241 [===================>..........] - ETA: 0s - loss: 0.1663
199/241 [=======================>......] - ETA: 0s - loss: 0.1536
240/241 [============================>.] - ETA: 0s - loss: 0.1373
241/241 [==============================] - 1s 1ms/step - loss: 0.1367
    949. 

  949. Epoch 2/10
    950. 

  950. 
  1/241 [..............................] - ETA: 0s - loss: 9.1123e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0691    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0591
122/241 [==============>...............] - ETA: 0s - loss: 0.0565
158/241 [==================>...........] - ETA: 0s - loss: 0.0562
194/241 [=======================>......] - ETA: 0s - loss: 0.0502
235/241 [============================>.] - ETA: 0s - loss: 0.0512
241/241 [==============================] - 0s 1ms/step - loss: 0.0511
    951. 

  951. Epoch 3/10
    952. 

  952. 
  1/241 [..............................] - ETA: 0s - loss: 0.0107
 42/241 [====>.........................] - ETA: 0s - loss: 0.0337
 82/241 [=========>....................] - ETA: 0s - loss: 0.0310
122/241 [==============>...............] - ETA: 0s - loss: 0.0376
162/241 [===================>..........] - ETA: 0s - loss: 0.0359
202/241 [========================>.....] - ETA: 0s - loss: 0.0350
241/241 [==============================] - 0s 1ms/step - loss: 0.0387
    953. 

  953. Epoch 4/10
    954. 

  954. 
  1/241 [..............................] - ETA: 0s - loss: 0.0208
 42/241 [====>.........................] - ETA: 0s - loss: 0.0491
 83/241 [=========>....................] - ETA: 0s - loss: 0.0348
122/241 [==============>...............] - ETA: 0s - loss: 0.0341
158/241 [==================>...........] - ETA: 0s - loss: 0.0390
197/241 [=======================>......] - ETA: 0s - loss: 0.0366
238/241 [============================>.] - ETA: 0s - loss: 0.0362
241/241 [==============================] - 0s 1ms/step - loss: 0.0359
    955. 

  955. Epoch 5/10
    956. 

  956. 
  1/241 [..............................] - ETA: 0s - loss: 0.0107
 41/241 [====>.........................] - ETA: 0s - loss: 0.0289
 81/241 [=========>....................] - ETA: 0s - loss: 0.0305
123/241 [==============>...............] - ETA: 0s - loss: 0.0320
160/241 [==================>...........] - ETA: 0s - loss: 0.0307
200/241 [=======================>......] - ETA: 0s - loss: 0.0304
239/241 [============================>.] - ETA: 0s - loss: 0.0335
241/241 [==============================] - 0s 1ms/step - loss: 0.0333
    957. 

  957. Epoch 6/10
    958. 

  958. 
  1/241 [..............................] - ETA: 0s - loss: 0.1460
 42/241 [====>.........................] - ETA: 0s - loss: 0.0185
 83/241 [=========>....................] - ETA: 0s - loss: 0.0294
124/241 [==============>...............] - ETA: 0s - loss: 0.0303
165/241 [===================>..........] - ETA: 0s - loss: 0.0278
203/241 [========================>.....] - ETA: 0s - loss: 0.0300
239/241 [============================>.] - ETA: 0s - loss: 0.0309
241/241 [==============================] - 0s 1ms/step - loss: 0.0308
    959. 

  959. Epoch 7/10
    960. 

  960. 
  1/241 [..............................] - ETA: 0s - loss: 0.2448
 32/241 [==>...........................] - ETA: 0s - loss: 0.0233
 67/241 [=======>......................] - ETA: 0s - loss: 0.0203
 98/241 [===========>..................] - ETA: 0s - loss: 0.0203
132/241 [===============>..............] - ETA: 0s - loss: 0.0208
169/241 [====================>.........] - ETA: 0s - loss: 0.0291
204/241 [========================>.....] - ETA: 0s - loss: 0.0279
239/241 [============================>.] - ETA: 0s - loss: 0.0280
241/241 [==============================] - 0s 1ms/step - loss: 0.0282
    961. 

  961. Epoch 8/10
    962. 

  962. 
  1/241 [..............................] - ETA: 0s - loss: 0.0021
 38/241 [===>..........................] - ETA: 0s - loss: 0.0216
 74/241 [========>.....................] - ETA: 0s - loss: 0.0201
109/241 [============>.................] - ETA: 0s - loss: 0.0211
144/241 [================>.............] - ETA: 0s - loss: 0.0222
181/241 [=====================>........] - ETA: 0s - loss: 0.0222
217/241 [==========================>...] - ETA: 0s - loss: 0.0217
241/241 [==============================] - 0s 1ms/step - loss: 0.0260
    963. 

  963. Epoch 9/10
    964. 

  964. 
  1/241 [..............................] - ETA: 0s - loss: 4.4638e-04
 37/241 [===>..........................] - ETA: 0s - loss: 0.0142    
 71/241 [=======>......................] - ETA: 0s - loss: 0.0209
105/241 [============>.................] - ETA: 0s - loss: 0.0240
142/241 [================>.............] - ETA: 0s - loss: 0.0248
175/241 [====================>.........] - ETA: 0s - loss: 0.0246
210/241 [=========================>....] - ETA: 0s - loss: 0.0262
241/241 [==============================] - 0s 1ms/step - loss: 0.0271
    965. 

  965. Epoch 10/10
    966. 

  966. 
  1/241 [..............................] - ETA: 0s - loss: 0.0155
 32/241 [==>...........................] - ETA: 0s - loss: 0.0237
 64/241 [======>.......................] - ETA: 0s - loss: 0.0263
 95/241 [==========>...................] - ETA: 0s - loss: 0.0265
128/241 [==============>...............] - ETA: 0s - loss: 0.0223
159/241 [==================>...........] - ETA: 0s - loss: 0.0218
192/241 [======================>.......] - ETA: 0s - loss: 0.0225
225/241 [===========================>..] - ETA: 0s - loss: 0.0246
241/241 [==============================] - 0s 2ms/step - loss: 0.0248
    967. 

  967. -> test with GAN.predict
    968. 

  968. GAN tn, fp: 597, 6
    969. 

  969. GAN fn, tp: 9, 22
    970. 

  970. GAN f1 score: 0.746
    971. 

  971. GAN cohens kappa score: 0.733
    972. 

  972. 

  973. -> test with 'LR'
    974. 

  974. LR tn, fp: 555, 48
    975. 

  975. LR fn, tp: 7, 24
    976. 

  976. LR f1 score: 0.466
    977. 

  977. LR cohens kappa score: 0.427
    978. 

  978. LR average precision score: 0.469
    979. 

  979. 

  980. -> test with 'RF'
    981. 

  981. RF tn, fp: 598, 5
    982. 

  982. RF fn, tp: 9, 22
    983. 

  983. RF f1 score: 0.759
    984. 

  984. RF cohens kappa score: 0.747
    985. 

  985. 

  986. -> test with 'GB'
    987. 

  987. GB tn, fp: 598, 5
    988. 

  988. GB fn, tp: 4, 27
    989. 

  989. GB f1 score: 0.857
    990. 

  990. GB cohens kappa score: 0.850
    991. 

  991. 

  992. -> test with 'KNN'
    993. 

  993. KNN tn, fp: 594, 9
    994. 

  994. KNN fn, tp: 8, 23
    995. 

  995. KNN f1 score: 0.730
    996. 

  996. KNN cohens kappa score: 0.716
    997. 

  997. 

  998. 

  999. ------ Step 4/5: Slice 3/5 -------
    1000. 

  1000. -> Reset the GAN
    1001. 

  1001. -> Train generator for synthetic samples
    1002. 

  1002. -> create 2289 synthetic samples
    1003. 

  1003. -> retrain GAN for predict
    1004. 

  1004. Epoch 1/10
    1005. 

  1005. 
  1/241 [..............................] - ETA: 54s - loss: 2.5575
 41/241 [====>.........................] - ETA: 0s - loss: 0.3473 
 82/241 [=========>....................] - ETA: 0s - loss: 0.2652
123/241 [==============>...............] - ETA: 0s - loss: 0.2094
162/241 [===================>..........] - ETA: 0s - loss: 0.1907
202/241 [========================>.....] - ETA: 0s - loss: 0.1719
241/241 [==============================] - 1s 1ms/step - loss: 0.1608
    1006. 

  1006. Epoch 2/10
    1007. 

  1007. 
  1/241 [..............................] - ETA: 0s - loss: 0.0013
 41/241 [====>.........................] - ETA: 0s - loss: 0.0526
 82/241 [=========>....................] - ETA: 0s - loss: 0.0551
123/241 [==============>...............] - ETA: 0s - loss: 0.0517
161/241 [===================>..........] - ETA: 0s - loss: 0.0543
198/241 [=======================>......] - ETA: 0s - loss: 0.0550
229/241 [===========================>..] - ETA: 0s - loss: 0.0579
241/241 [==============================] - 0s 1ms/step - loss: 0.0591
    1008. 

  1008. Epoch 3/10
    1009. 

  1009. 
  1/241 [..............................] - ETA: 0s - loss: 0.0639
 41/241 [====>.........................] - ETA: 0s - loss: 0.0435
 82/241 [=========>....................] - ETA: 0s - loss: 0.0493
122/241 [==============>...............] - ETA: 0s - loss: 0.0492
161/241 [===================>..........] - ETA: 0s - loss: 0.0464
199/241 [=======================>......] - ETA: 0s - loss: 0.0454
240/241 [============================>.] - ETA: 0s - loss: 0.0472
241/241 [==============================] - 0s 1ms/step - loss: 0.0471
    1010. 

  1010. Epoch 4/10
    1011. 

  1011. 
  1/241 [..............................] - ETA: 0s - loss: 1.4116e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0266    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0371
122/241 [==============>...............] - ETA: 0s - loss: 0.0369
156/241 [==================>...........] - ETA: 0s - loss: 0.0371
193/241 [=======================>......] - ETA: 0s - loss: 0.0400
233/241 [============================>.] - ETA: 0s - loss: 0.0387
241/241 [==============================] - 0s 1ms/step - loss: 0.0376
    1012. 

  1012. Epoch 5/10
    1013. 

  1013. 
  1/241 [..............................] - ETA: 0s - loss: 0.0116
 41/241 [====>.........................] - ETA: 0s - loss: 0.0332
 81/241 [=========>....................] - ETA: 0s - loss: 0.0290
120/241 [=============>................] - ETA: 0s - loss: 0.0262
160/241 [==================>...........] - ETA: 0s - loss: 0.0307
199/241 [=======================>......] - ETA: 0s - loss: 0.0298
239/241 [============================>.] - ETA: 0s - loss: 0.0338
241/241 [==============================] - 0s 1ms/step - loss: 0.0341
    1014. 

  1014. Epoch 6/10
    1015. 

  1015. 
  1/241 [..............................] - ETA: 0s - loss: 9.5736e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0420    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0344
121/241 [==============>...............] - ETA: 0s - loss: 0.0334
162/241 [===================>..........] - ETA: 0s - loss: 0.0305
203/241 [========================>.....] - ETA: 0s - loss: 0.0331
241/241 [==============================] - 0s 1ms/step - loss: 0.0324
    1016. 

  1016. Epoch 7/10
    1017. 

  1017. 
  1/241 [..............................] - ETA: 0s - loss: 0.0035
 39/241 [===>..........................] - ETA: 0s - loss: 0.0306
 77/241 [========>.....................] - ETA: 0s - loss: 0.0246
117/241 [=============>................] - ETA: 0s - loss: 0.0220
158/241 [==================>...........] - ETA: 0s - loss: 0.0279
199/241 [=======================>......] - ETA: 0s - loss: 0.0273
239/241 [============================>.] - ETA: 0s - loss: 0.0298
241/241 [==============================] - 0s 1ms/step - loss: 0.0300
    1018. 

  1018. Epoch 8/10
    1019. 

  1019. 
  1/241 [..............................] - ETA: 0s - loss: 0.1508
 41/241 [====>.........................] - ETA: 0s - loss: 0.0258
 81/241 [=========>....................] - ETA: 0s - loss: 0.0251
119/241 [=============>................] - ETA: 0s - loss: 0.0237
158/241 [==================>...........] - ETA: 0s - loss: 0.0255
198/241 [=======================>......] - ETA: 0s - loss: 0.0259
238/241 [============================>.] - ETA: 0s - loss: 0.0269
241/241 [==============================] - 0s 1ms/step - loss: 0.0267
    1020. 

  1020. Epoch 9/10
    1021. 

  1021. 
  1/241 [..............................] - ETA: 0s - loss: 0.0023
 42/241 [====>.........................] - ETA: 0s - loss: 0.0236
 82/241 [=========>....................] - ETA: 0s - loss: 0.0210
117/241 [=============>................] - ETA: 0s - loss: 0.0241
150/241 [=================>............] - ETA: 0s - loss: 0.0245
183/241 [=====================>........] - ETA: 0s - loss: 0.0251
216/241 [=========================>....] - ETA: 0s - loss: 0.0234
241/241 [==============================] - 0s 1ms/step - loss: 0.0246
    1022. 

  1022. Epoch 10/10
    1023. 

  1023. 
  1/241 [..............................] - ETA: 0s - loss: 0.0099
 41/241 [====>.........................] - ETA: 0s - loss: 0.0225
 80/241 [========>.....................] - ETA: 0s - loss: 0.0255
119/241 [=============>................] - ETA: 0s - loss: 0.0246
158/241 [==================>...........] - ETA: 0s - loss: 0.0242
198/241 [=======================>......] - ETA: 0s - loss: 0.0227
239/241 [============================>.] - ETA: 0s - loss: 0.0229
241/241 [==============================] - 0s 1ms/step - loss: 0.0234
    1024. 

  1024. -> test with GAN.predict
    1025. 

  1025. GAN tn, fp: 594, 9
    1026. 

  1026. GAN fn, tp: 9, 22
    1027. 

  1027. GAN f1 score: 0.710
    1028. 

  1028. GAN cohens kappa score: 0.695
    1029. 

  1029. 

  1030. -> test with 'LR'
    1031. 

  1031. LR tn, fp: 549, 54
    1032. 

  1032. LR fn, tp: 4, 27
    1033. 

  1033. LR f1 score: 0.482
    1034. 

  1034. LR cohens kappa score: 0.443
    1035. 

  1035. LR average precision score: 0.611
    1036. 

  1036. 

  1037. -> test with 'RF'
    1038. 

  1038. RF tn, fp: 603, 0
    1039. 

  1039. RF fn, tp: 8, 23
    1040. 

  1040. RF f1 score: 0.852
    1041. 

  1041. RF cohens kappa score: 0.845
    1042. 

  1042. 

  1043. -> test with 'GB'
    1044. 

  1044. GB tn, fp: 600, 3
    1045. 

  1045. GB fn, tp: 7, 24
    1046. 

  1046. GB f1 score: 0.828
    1047. 

  1047. GB cohens kappa score: 0.819
    1048. 

  1048. 

  1049. -> test with 'KNN'
    1050. 

  1050. KNN tn, fp: 595, 8
    1051. 

  1051. KNN fn, tp: 9, 22
    1052. 

  1052. KNN f1 score: 0.721
    1053. 

  1053. KNN cohens kappa score: 0.707
    1054. 

  1054. 

  1055. 

  1056. ------ Step 4/5: Slice 4/5 -------
    1057. 

  1057. -> Reset the GAN
    1058. 

  1058. -> Train generator for synthetic samples
    1059. 

  1059. -> create 2289 synthetic samples
    1060. 

  1060. -> retrain GAN for predict
    1061. 

  1061. Epoch 1/10
    1062. 

  1062. 
  1/241 [..............................] - ETA: 52s - loss: 1.6536
 41/241 [====>.........................] - ETA: 0s - loss: 0.3235 
 81/241 [=========>....................] - ETA: 0s - loss: 0.2161
122/241 [==============>...............] - ETA: 0s - loss: 0.1782
134/241 [===============>..............] - ETA: 0s - loss: 0.1818
152/241 [=================>............] - ETA: 0s - loss: 0.1712
193/241 [=======================>......] - ETA: 0s - loss: 0.1616
230/241 [===========================>..] - ETA: 0s - loss: 0.1522
241/241 [==============================] - 1s 2ms/step - loss: 0.1476
    1063. 

  1063. Epoch 2/10
    1064. 

  1064. 
  1/241 [..............................] - ETA: 0s - loss: 0.0024
 41/241 [====>.........................] - ETA: 0s - loss: 0.0834
 82/241 [=========>....................] - ETA: 0s - loss: 0.0706
122/241 [==============>...............] - ETA: 0s - loss: 0.0716
163/241 [===================>..........] - ETA: 0s - loss: 0.0632
203/241 [========================>.....] - ETA: 0s - loss: 0.0626
241/241 [==============================] - 0s 1ms/step - loss: 0.0575
    1065. 

  1065. Epoch 3/10
    1066. 

  1066. 
  1/241 [..............................] - ETA: 0s - loss: 0.0039
 42/241 [====>.........................] - ETA: 0s - loss: 0.0414
 82/241 [=========>....................] - ETA: 0s - loss: 0.0347
121/241 [==============>...............] - ETA: 0s - loss: 0.0426
162/241 [===================>..........] - ETA: 0s - loss: 0.0411
202/241 [========================>.....] - ETA: 0s - loss: 0.0411
239/241 [============================>.] - ETA: 0s - loss: 0.0414
241/241 [==============================] - 0s 1ms/step - loss: 0.0413
    1067. 

  1067. Epoch 4/10
    1068. 

  1068. 
  1/241 [..............................] - ETA: 0s - loss: 0.0012
 40/241 [===>..........................] - ETA: 0s - loss: 0.0389
 79/241 [========>.....................] - ETA: 0s - loss: 0.0463
114/241 [=============>................] - ETA: 0s - loss: 0.0487
150/241 [=================>............] - ETA: 0s - loss: 0.0441
187/241 [======================>.......] - ETA: 0s - loss: 0.0420
227/241 [===========================>..] - ETA: 0s - loss: 0.0407
241/241 [==============================] - 0s 1ms/step - loss: 0.0422
    1069. 

  1069. Epoch 5/10
    1070. 

  1070. 
  1/241 [..............................] - ETA: 0s - loss: 0.1059
 40/241 [===>..........................] - ETA: 0s - loss: 0.0317
 81/241 [=========>....................] - ETA: 0s - loss: 0.0360
121/241 [==============>...............] - ETA: 0s - loss: 0.0363
161/241 [===================>..........] - ETA: 0s - loss: 0.0321
200/241 [=======================>......] - ETA: 0s - loss: 0.0322
234/241 [============================>.] - ETA: 0s - loss: 0.0343
241/241 [==============================] - 0s 1ms/step - loss: 0.0337
    1071. 

  1071. Epoch 6/10
    1072. 

  1072. 
  1/241 [..............................] - ETA: 0s - loss: 0.0641
 32/241 [==>...........................] - ETA: 0s - loss: 0.0188
 66/241 [=======>......................] - ETA: 0s - loss: 0.0187
106/241 [============>.................] - ETA: 0s - loss: 0.0205
147/241 [=================>............] - ETA: 0s - loss: 0.0266
187/241 [======================>.......] - ETA: 0s - loss: 0.0286
228/241 [===========================>..] - ETA: 0s - loss: 0.0300
241/241 [==============================] - 0s 1ms/step - loss: 0.0328
    1073. 

  1073. Epoch 7/10
    1074. 

  1074. 
  1/241 [..............................] - ETA: 0s - loss: 0.0028
 40/241 [===>..........................] - ETA: 0s - loss: 0.0325
 80/241 [========>.....................] - ETA: 0s - loss: 0.0385
120/241 [=============>................] - ETA: 0s - loss: 0.0308
158/241 [==================>...........] - ETA: 0s - loss: 0.0316
198/241 [=======================>......] - ETA: 0s - loss: 0.0312
238/241 [============================>.] - ETA: 0s - loss: 0.0297
241/241 [==============================] - 0s 1ms/step - loss: 0.0316
    1075. 

  1075. Epoch 8/10
    1076. 

  1076. 
  1/241 [..............................] - ETA: 0s - loss: 0.0043
 42/241 [====>.........................] - ETA: 0s - loss: 0.0243
 82/241 [=========>....................] - ETA: 0s - loss: 0.0279
121/241 [==============>...............] - ETA: 0s - loss: 0.0322
162/241 [===================>..........] - ETA: 0s - loss: 0.0314
203/241 [========================>.....] - ETA: 0s - loss: 0.0296
241/241 [==============================] - 0s 1ms/step - loss: 0.0292
    1077. 

  1077. Epoch 9/10
    1078. 

  1078. 
  1/241 [..............................] - ETA: 0s - loss: 0.0071
 38/241 [===>..........................] - ETA: 0s - loss: 0.0348
 79/241 [========>.....................] - ETA: 0s - loss: 0.0271
117/241 [=============>................] - ETA: 0s - loss: 0.0219
155/241 [==================>...........] - ETA: 0s - loss: 0.0264
194/241 [=======================>......] - ETA: 0s - loss: 0.0297
232/241 [===========================>..] - ETA: 0s - loss: 0.0278
241/241 [==============================] - 0s 1ms/step - loss: 0.0284
    1079. 

  1079. Epoch 10/10
    1080. 

  1080. 
  1/241 [..............................] - ETA: 0s - loss: 6.5228e-04
 40/241 [===>..........................] - ETA: 0s - loss: 0.0179    
 78/241 [========>.....................] - ETA: 0s - loss: 0.0217
119/241 [=============>................] - ETA: 0s - loss: 0.0257
151/241 [=================>............] - ETA: 0s - loss: 0.0269
185/241 [======================>.......] - ETA: 0s - loss: 0.0273
221/241 [==========================>...] - ETA: 0s - loss: 0.0265
241/241 [==============================] - 0s 1ms/step - loss: 0.0254
    1081. 

  1081. -> test with GAN.predict
    1082. 

  1082. GAN tn, fp: 596, 7
    1083. 

  1083. GAN fn, tp: 8, 23
    1084. 

  1084. GAN f1 score: 0.754
    1085. 

  1085. GAN cohens kappa score: 0.742
    1086. 

  1086. 

  1087. -> test with 'LR'
    1088. 

  1088. LR tn, fp: 532, 71
    1089. 

  1089. LR fn, tp: 2, 29
    1090. 

  1090. LR f1 score: 0.443
    1091. 

  1091. LR cohens kappa score: 0.398
    1092. 

  1092. LR average precision score: 0.549
    1093. 

  1093. 

  1094. -> test with 'RF'
    1095. 

  1095. RF tn, fp: 601, 2
    1096. 

  1096. RF fn, tp: 7, 24
    1097. 

  1097. RF f1 score: 0.842
    1098. 

  1098. RF cohens kappa score: 0.835
    1099. 

  1099. 

  1100. -> test with 'GB'
    1101. 

  1101. GB tn, fp: 599, 4
    1102. 

  1102. GB fn, tp: 6, 25
    1103. 

  1103. GB f1 score: 0.833
    1104. 

  1104. GB cohens kappa score: 0.825
    1105. 

  1105. 

  1106. -> test with 'KNN'
    1107. 

  1107. KNN tn, fp: 590, 13
    1108. 

  1108. KNN fn, tp: 14, 17
    1109. 

  1109. KNN f1 score: 0.557
    1110. 

  1110. KNN cohens kappa score: 0.535
    1111. 

  1111. 

  1112. 

  1113. ------ Step 4/5: Slice 5/5 -------
    1114. 

  1114. -> Reset the GAN
    1115. 

  1115. -> Train generator for synthetic samples
    1116. 

  1116. -> create 2288 synthetic samples
    1117. 

  1117. -> retrain GAN for predict
    1118. 

  1118. Epoch 1/10
    1119. 

  1119. 
  1/242 [..............................] - ETA: 52s - loss: 1.0940
 41/242 [====>.........................] - ETA: 0s - loss: 0.2979 
 78/242 [========>.....................] - ETA: 0s - loss: 0.2524
120/242 [=============>................] - ETA: 0s - loss: 0.2185
160/242 [==================>...........] - ETA: 0s - loss: 0.1978
201/242 [=======================>......] - ETA: 0s - loss: 0.1819
242/242 [==============================] - ETA: 0s - loss: 0.1628
242/242 [==============================] - 1s 1ms/step - loss: 0.1628
    1120. 

  1120. Epoch 2/10
    1121. 

  1121. 
  1/242 [..............................] - ETA: 0s - loss: 0.0764
 40/242 [===>..........................] - ETA: 0s - loss: 0.0634
 79/242 [========>.....................] - ETA: 0s - loss: 0.0570
119/242 [=============>................] - ETA: 0s - loss: 0.0635
153/242 [=================>............] - ETA: 0s - loss: 0.0601
185/242 [=====================>........] - ETA: 0s - loss: 0.0636
220/242 [==========================>...] - ETA: 0s - loss: 0.0627
242/242 [==============================] - 0s 1ms/step - loss: 0.0598
    1122. 

  1122. Epoch 3/10
    1123. 

  1123. 
  1/242 [..............................] - ETA: 0s - loss: 0.1662
 41/242 [====>.........................] - ETA: 0s - loss: 0.0435
 80/242 [========>.....................] - ETA: 0s - loss: 0.0400
119/242 [=============>................] - ETA: 0s - loss: 0.0453
159/242 [==================>...........] - ETA: 0s - loss: 0.0484
200/242 [=======================>......] - ETA: 0s - loss: 0.0447
236/242 [============================>.] - ETA: 0s - loss: 0.0429
242/242 [==============================] - 0s 1ms/step - loss: 0.0422
    1124. 

  1124. Epoch 4/10
    1125. 

  1125. 
  1/242 [..............................] - ETA: 0s - loss: 0.0134
 40/242 [===>..........................] - ETA: 0s - loss: 0.0283
 76/242 [========>.....................] - ETA: 0s - loss: 0.0321
112/242 [============>.................] - ETA: 0s - loss: 0.0309
151/242 [=================>............] - ETA: 0s - loss: 0.0286
187/242 [======================>.......] - ETA: 0s - loss: 0.0298
228/242 [===========================>..] - ETA: 0s - loss: 0.0315
242/242 [==============================] - 0s 1ms/step - loss: 0.0349
    1126. 

  1126. Epoch 5/10
    1127. 

  1127. 
  1/242 [..............................] - ETA: 0s - loss: 4.1268e-04
 38/242 [===>..........................] - ETA: 0s - loss: 0.0266    
 77/242 [========>.....................] - ETA: 0s - loss: 0.0284
113/242 [=============>................] - ETA: 0s - loss: 0.0293
151/242 [=================>............] - ETA: 0s - loss: 0.0319
190/242 [======================>.......] - ETA: 0s - loss: 0.0327
231/242 [===========================>..] - ETA: 0s - loss: 0.0310
242/242 [==============================] - 0s 1ms/step - loss: 0.0319
    1128. 

  1128. Epoch 6/10
    1129. 

  1129. 
  1/242 [..............................] - ETA: 0s - loss: 0.0331
 38/242 [===>..........................] - ETA: 0s - loss: 0.0164
 77/242 [========>.....................] - ETA: 0s - loss: 0.0181
117/242 [=============>................] - ETA: 0s - loss: 0.0231
154/242 [==================>...........] - ETA: 0s - loss: 0.0245
191/242 [======================>.......] - ETA: 0s - loss: 0.0282
228/242 [===========================>..] - ETA: 0s - loss: 0.0299
242/242 [==============================] - 0s 1ms/step - loss: 0.0302
    1130. 

  1130. Epoch 7/10
    1131. 

  1131. 
  1/242 [..............................] - ETA: 0s - loss: 0.0207
 40/242 [===>..........................] - ETA: 0s - loss: 0.0313
 77/242 [========>.....................] - ETA: 0s - loss: 0.0329
117/242 [=============>................] - ETA: 0s - loss: 0.0265
152/242 [=================>............] - ETA: 0s - loss: 0.0284
193/242 [======================>.......] - ETA: 0s - loss: 0.0281
234/242 [============================>.] - ETA: 0s - loss: 0.0304
242/242 [==============================] - 0s 1ms/step - loss: 0.0304
    1132. 

  1132. Epoch 8/10
    1133. 

  1133. 
  1/242 [..............................] - ETA: 0s - loss: 0.0032
 37/242 [===>..........................] - ETA: 0s - loss: 0.0197
 76/242 [========>.....................] - ETA: 0s - loss: 0.0243
111/242 [============>.................] - ETA: 0s - loss: 0.0232
152/242 [=================>............] - ETA: 0s - loss: 0.0242
190/242 [======================>.......] - ETA: 0s - loss: 0.0254
228/242 [===========================>..] - ETA: 0s - loss: 0.0272
242/242 [==============================] - 0s 1ms/step - loss: 0.0266
    1134. 

  1134. Epoch 9/10
    1135. 

  1135. 
  1/242 [..............................] - ETA: 0s - loss: 0.0018
 35/242 [===>..........................] - ETA: 0s - loss: 0.0213
 71/242 [=======>......................] - ETA: 0s - loss: 0.0263
101/242 [===========>..................] - ETA: 0s - loss: 0.0267
132/242 [===============>..............] - ETA: 0s - loss: 0.0258
171/242 [====================>.........] - ETA: 0s - loss: 0.0241
207/242 [========================>.....] - ETA: 0s - loss: 0.0235
242/242 [==============================] - 0s 1ms/step - loss: 0.0260
    1136. 

  1136. Epoch 10/10
    1137. 

  1137. 
  1/242 [..............................] - ETA: 0s - loss: 4.6537e-04
 39/242 [===>..........................] - ETA: 0s - loss: 0.0248    
 75/242 [========>.....................] - ETA: 0s - loss: 0.0286
112/242 [============>.................] - ETA: 0s - loss: 0.0303
147/242 [=================>............] - ETA: 0s - loss: 0.0285
187/242 [======================>.......] - ETA: 0s - loss: 0.0262
226/242 [===========================>..] - ETA: 0s - loss: 0.0258
242/242 [==============================] - 0s 1ms/step - loss: 0.0255
    1138. 

  1138. -> test with GAN.predict
    1139. 

  1139. GAN tn, fp: 583, 17
    1140. 

  1140. GAN fn, tp: 8, 19
    1141. 

  1141. GAN f1 score: 0.603
    1142. 

  1142. GAN cohens kappa score: 0.583
    1143. 

  1143. 

  1144. -> test with 'LR'
    1145. 

  1145. LR tn, fp: 545, 55
    1146. 

  1146. LR fn, tp: 7, 20
    1147. 

  1147. LR f1 score: 0.392
    1148. 

  1148. LR cohens kappa score: 0.351
    1149. 

  1149. LR average precision score: 0.424
    1150. 

  1150. 

  1151. -> test with 'RF'
    1152. 

  1152. RF tn, fp: 596, 4
    1153. 

  1153. RF fn, tp: 9, 18
    1154. 

  1154. RF f1 score: 0.735
    1155. 

  1155. RF cohens kappa score: 0.724
    1156. 

  1156. 

  1157. -> test with 'GB'
    1158. 

  1158. GB tn, fp: 596, 4
    1159. 

  1159. GB fn, tp: 6, 21
    1160. 

  1160. GB f1 score: 0.808
    1161. 

  1161. GB cohens kappa score: 0.799
    1162. 

  1162. 

  1163. -> test with 'KNN'
    1164. 

  1164. KNN tn, fp: 582, 18
    1165. 

  1165. KNN fn, tp: 6, 21
    1166. 

  1166. KNN f1 score: 0.636
    1167. 

  1167. KNN cohens kappa score: 0.617
    1168. 

  1168. 

  1169. 

  1170. ====== Step 5/5 =======
    1171. 

  1171. -> Shuffling data
    1172. 

  1172. -> Spliting data to slices
    1173. 

  1173. 

  1174. ------ Step 5/5: Slice 1/5 -------
    1175. 

  1175. -> Reset the GAN
    1176. 

  1176. -> Train generator for synthetic samples
    1177. 

  1177. -> create 2289 synthetic samples
    1178. 

  1178. -> retrain GAN for predict
    1179. 

  1179. Epoch 1/10
    1180. 

  1180. 
  1/241 [..............................] - ETA: 53s - loss: 1.4454e-06
 42/241 [====>.........................] - ETA: 0s - loss: 0.3255     
 82/241 [=========>....................] - ETA: 0s - loss: 0.2236
123/241 [==============>...............] - ETA: 0s - loss: 0.1684
164/241 [===================>..........] - ETA: 0s - loss: 0.1589
205/241 [========================>.....] - ETA: 0s - loss: 0.1498
241/241 [==============================] - 1s 1ms/step - loss: 0.1436
    1181. 

  1181. Epoch 2/10
    1182. 

  1182. 
  1/241 [..............................] - ETA: 0s - loss: 0.3240
 41/241 [====>.........................] - ETA: 0s - loss: 0.0714
 82/241 [=========>....................] - ETA: 0s - loss: 0.0552
122/241 [==============>...............] - ETA: 0s - loss: 0.0537
161/241 [===================>..........] - ETA: 0s - loss: 0.0541
202/241 [========================>.....] - ETA: 0s - loss: 0.0584
241/241 [==============================] - 0s 1ms/step - loss: 0.0569
    1183. 

  1183. Epoch 3/10
    1184. 

  1184. 
  1/241 [..............................] - ETA: 0s - loss: 0.0275
 42/241 [====>.........................] - ETA: 0s - loss: 0.0294
 82/241 [=========>....................] - ETA: 0s - loss: 0.0328
122/241 [==============>...............] - ETA: 0s - loss: 0.0369
162/241 [===================>..........] - ETA: 0s - loss: 0.0365
200/241 [=======================>......] - ETA: 0s - loss: 0.0357
238/241 [============================>.] - ETA: 0s - loss: 0.0370
241/241 [==============================] - 0s 1ms/step - loss: 0.0371
    1185. 

  1185. Epoch 4/10
    1186. 

  1186. 
  1/241 [..............................] - ETA: 0s - loss: 0.0028
 39/241 [===>..........................] - ETA: 0s - loss: 0.0133
 78/241 [========>.....................] - ETA: 0s - loss: 0.0275
117/241 [=============>................] - ETA: 0s - loss: 0.0283
157/241 [==================>...........] - ETA: 0s - loss: 0.0315
195/241 [=======================>......] - ETA: 0s - loss: 0.0344
232/241 [===========================>..] - ETA: 0s - loss: 0.0341
241/241 [==============================] - 0s 1ms/step - loss: 0.0331
    1187. 

  1187. Epoch 5/10
    1188. 

  1188. 
  1/241 [..............................] - ETA: 0s - loss: 0.0947
 41/241 [====>.........................] - ETA: 0s - loss: 0.0475
 81/241 [=========>....................] - ETA: 0s - loss: 0.0369
121/241 [==============>...............] - ETA: 0s - loss: 0.0309
155/241 [==================>...........] - ETA: 0s - loss: 0.0290
191/241 [======================>.......] - ETA: 0s - loss: 0.0293
224/241 [==========================>...] - ETA: 0s - loss: 0.0305
241/241 [==============================] - 0s 1ms/step - loss: 0.0292
    1189. 

  1189. Epoch 6/10
    1190. 

  1190. 
  1/241 [..............................] - ETA: 0s - loss: 0.0015
 41/241 [====>.........................] - ETA: 0s - loss: 0.0112
 81/241 [=========>....................] - ETA: 0s - loss: 0.0137
119/241 [=============>................] - ETA: 0s - loss: 0.0226
158/241 [==================>...........] - ETA: 0s - loss: 0.0258
195/241 [=======================>......] - ETA: 0s - loss: 0.0277
236/241 [============================>.] - ETA: 0s - loss: 0.0306
241/241 [==============================] - 0s 1ms/step - loss: 0.0306
    1191. 

  1191. Epoch 7/10
    1192. 

  1192. 
  1/241 [..............................] - ETA: 0s - loss: 0.0014
 42/241 [====>.........................] - ETA: 0s - loss: 0.0493
 83/241 [=========>....................] - ETA: 0s - loss: 0.0390
123/241 [==============>...............] - ETA: 0s - loss: 0.0410
163/241 [===================>..........] - ETA: 0s - loss: 0.0355
200/241 [=======================>......] - ETA: 0s - loss: 0.0355
239/241 [============================>.] - ETA: 0s - loss: 0.0322
241/241 [==============================] - 0s 1ms/step - loss: 0.0327
    1193. 

  1193. Epoch 8/10
    1194. 

  1194. 
  1/241 [..............................] - ETA: 0s - loss: 0.0045
 39/241 [===>..........................] - ETA: 0s - loss: 0.0165
 76/241 [========>.....................] - ETA: 0s - loss: 0.0204
116/241 [=============>................] - ETA: 0s - loss: 0.0252
157/241 [==================>...........] - ETA: 0s - loss: 0.0211
198/241 [=======================>......] - ETA: 0s - loss: 0.0193
237/241 [============================>.] - ETA: 0s - loss: 0.0214
241/241 [==============================] - 0s 1ms/step - loss: 0.0217
    1195. 

  1195. Epoch 9/10
    1196. 

  1196. 
  1/241 [..............................] - ETA: 0s - loss: 0.0147
 40/241 [===>..........................] - ETA: 0s - loss: 0.0292
 82/241 [=========>....................] - ETA: 0s - loss: 0.0248
122/241 [==============>...............] - ETA: 0s - loss: 0.0192
162/241 [===================>..........] - ETA: 0s - loss: 0.0175
198/241 [=======================>......] - ETA: 0s - loss: 0.0204
236/241 [============================>.] - ETA: 0s - loss: 0.0208
241/241 [==============================] - 0s 1ms/step - loss: 0.0205
    1197. 

  1197. Epoch 10/10
    1198. 

  1198. 
  1/241 [..............................] - ETA: 0s - loss: 0.0498
 36/241 [===>..........................] - ETA: 0s - loss: 0.0158
 76/241 [========>.....................] - ETA: 0s - loss: 0.0168
116/241 [=============>................] - ETA: 0s - loss: 0.0241
156/241 [==================>...........] - ETA: 0s - loss: 0.0245
197/241 [=======================>......] - ETA: 0s - loss: 0.0239
238/241 [============================>.] - ETA: 0s - loss: 0.0228
241/241 [==============================] - 0s 1ms/step - loss: 0.0226
    1199. 

  1199. -> test with GAN.predict
    1200. 

  1200. GAN tn, fp: 587, 16
    1201. 

  1201. GAN fn, tp: 9, 22
    1202. 

  1202. GAN f1 score: 0.638
    1203. 

  1203. GAN cohens kappa score: 0.617
    1204. 

  1204. 

  1205. -> test with 'LR'
    1206. 

  1206. LR tn, fp: 546, 57
    1207. 

  1207. LR fn, tp: 6, 25
    1208. 

  1208. LR f1 score: 0.442
    1209. 

  1209. LR cohens kappa score: 0.400
    1210. 

  1210. LR average precision score: 0.450
    1211. 

  1211. 

  1212. -> test with 'RF'
    1213. 

  1213. RF tn, fp: 599, 4
    1214. 

  1214. RF fn, tp: 8, 23
    1215. 

  1215. RF f1 score: 0.793
    1216. 

  1216. RF cohens kappa score: 0.783
    1217. 

  1217. 

  1218. -> test with 'GB'
    1219. 

  1219. GB tn, fp: 598, 5
    1220. 

  1220. GB fn, tp: 6, 25
    1221. 

  1221. GB f1 score: 0.820
    1222. 

  1222. GB cohens kappa score: 0.811
    1223. 

  1223. 

  1224. -> test with 'KNN'
    1225. 

  1225. KNN tn, fp: 590, 13
    1226. 

  1226. KNN fn, tp: 11, 20
    1227. 

  1227. KNN f1 score: 0.625
    1228. 

  1228. KNN cohens kappa score: 0.605
    1229. 

  1229. 

  1230. 

  1231. ------ Step 5/5: Slice 2/5 -------
    1232. 

  1232. -> Reset the GAN
    1233. 

  1233. -> Train generator for synthetic samples
    1234. 

  1234. -> create 2289 synthetic samples
    1235. 

  1235. -> retrain GAN for predict
    1236. 

  1236. Epoch 1/10
    1237. 

  1237. 
  1/241 [..............................] - ETA: 52s - loss: 0.2012
 43/241 [====>.........................] - ETA: 0s - loss: 0.3104 
 84/241 [=========>....................] - ETA: 0s - loss: 0.2313
122/241 [==============>...............] - ETA: 0s - loss: 0.1868
163/241 [===================>..........] - ETA: 0s - loss: 0.1560
203/241 [========================>.....] - ETA: 0s - loss: 0.1384
241/241 [==============================] - 1s 1ms/step - loss: 0.1246
    1238. 

  1238. Epoch 2/10
    1239. 

  1239. 
  1/241 [..............................] - ETA: 0s - loss: 0.0123
 42/241 [====>.........................] - ETA: 0s - loss: 0.0637
 83/241 [=========>....................] - ETA: 0s - loss: 0.0583
125/241 [==============>...............] - ETA: 0s - loss: 0.0526
165/241 [===================>..........] - ETA: 0s - loss: 0.0509
203/241 [========================>.....] - ETA: 0s - loss: 0.0485
241/241 [==============================] - 0s 1ms/step - loss: 0.0489
    1240. 

  1240. Epoch 3/10
    1241. 

  1241. 
  1/241 [..............................] - ETA: 0s - loss: 0.1180
 42/241 [====>.........................] - ETA: 0s - loss: 0.0217
 85/241 [=========>....................] - ETA: 0s - loss: 0.0261
126/241 [==============>...............] - ETA: 0s - loss: 0.0310
161/241 [===================>..........] - ETA: 0s - loss: 0.0345
202/241 [========================>.....] - ETA: 0s - loss: 0.0369
237/241 [============================>.] - ETA: 0s - loss: 0.0390
241/241 [==============================] - 0s 1ms/step - loss: 0.0390
    1242. 

  1242. Epoch 4/10
    1243. 

  1243. 
  1/241 [..............................] - ETA: 0s - loss: 0.0044
 34/241 [===>..........................] - ETA: 0s - loss: 0.0279
 65/241 [=======>......................] - ETA: 0s - loss: 0.0392
102/241 [===========>..................] - ETA: 0s - loss: 0.0403
138/241 [================>.............] - ETA: 0s - loss: 0.0352
180/241 [=====================>........] - ETA: 0s - loss: 0.0346
220/241 [==========================>...] - ETA: 0s - loss: 0.0351
241/241 [==============================] - 0s 1ms/step - loss: 0.0352
    1244. 

  1244. Epoch 5/10
    1245. 

  1245. 
  1/241 [..............................] - ETA: 0s - loss: 0.0041
 42/241 [====>.........................] - ETA: 0s - loss: 0.0279
 81/241 [=========>....................] - ETA: 0s - loss: 0.0298
122/241 [==============>...............] - ETA: 0s - loss: 0.0319
163/241 [===================>..........] - ETA: 0s - loss: 0.0304
203/241 [========================>.....] - ETA: 0s - loss: 0.0328
241/241 [==============================] - 0s 1ms/step - loss: 0.0326
    1246. 

  1246. Epoch 6/10
    1247. 

  1247. 
  1/241 [..............................] - ETA: 0s - loss: 0.2373
 42/241 [====>.........................] - ETA: 0s - loss: 0.0357
 83/241 [=========>....................] - ETA: 0s - loss: 0.0338
123/241 [==============>...............] - ETA: 0s - loss: 0.0282
159/241 [==================>...........] - ETA: 0s - loss: 0.0296
196/241 [=======================>......] - ETA: 0s - loss: 0.0278
231/241 [===========================>..] - ETA: 0s - loss: 0.0277
241/241 [==============================] - 0s 1ms/step - loss: 0.0277
    1248. 

  1248. Epoch 7/10
    1249. 

  1249. 
  1/241 [..............................] - ETA: 0s - loss: 0.0035
 40/241 [===>..........................] - ETA: 0s - loss: 0.0276
 81/241 [=========>....................] - ETA: 0s - loss: 0.0245
121/241 [==============>...............] - ETA: 0s - loss: 0.0306
161/241 [===================>..........] - ETA: 0s - loss: 0.0301
203/241 [========================>.....] - ETA: 0s - loss: 0.0266
241/241 [==============================] - 0s 1ms/step - loss: 0.0274
    1250. 

  1250. Epoch 8/10
    1251. 

  1251. 
  1/241 [..............................] - ETA: 0s - loss: 6.4987e-04
 42/241 [====>.........................] - ETA: 0s - loss: 0.0215    
 82/241 [=========>....................] - ETA: 0s - loss: 0.0196
121/241 [==============>...............] - ETA: 0s - loss: 0.0238
162/241 [===================>..........] - ETA: 0s - loss: 0.0229
203/241 [========================>.....] - ETA: 0s - loss: 0.0247
241/241 [==============================] - 0s 1ms/step - loss: 0.0254
    1252. 

  1252. Epoch 9/10
    1253. 

  1253. 
  1/241 [..............................] - ETA: 0s - loss: 0.0374
 42/241 [====>.........................] - ETA: 0s - loss: 0.0212
 83/241 [=========>....................] - ETA: 0s - loss: 0.0244
124/241 [==============>...............] - ETA: 0s - loss: 0.0233
164/241 [===================>..........] - ETA: 0s - loss: 0.0263
206/241 [========================>.....] - ETA: 0s - loss: 0.0256
241/241 [==============================] - 0s 1ms/step - loss: 0.0252
    1254. 

  1254. Epoch 10/10
    1255. 

  1255. 
  1/241 [..............................] - ETA: 0s - loss: 0.1218
 37/241 [===>..........................] - ETA: 0s - loss: 0.0187
 77/241 [========>.....................] - ETA: 0s - loss: 0.0261
116/241 [=============>................] - ETA: 0s - loss: 0.0262
156/241 [==================>...........] - ETA: 0s - loss: 0.0266
196/241 [=======================>......] - ETA: 0s - loss: 0.0261
232/241 [===========================>..] - ETA: 0s - loss: 0.0266
241/241 [==============================] - 0s 1ms/step - loss: 0.0267
    1256. 

  1256. -> test with GAN.predict
    1257. 

  1257. GAN tn, fp: 593, 10
    1258. 

  1258. GAN fn, tp: 12, 19
    1259. 

  1259. GAN f1 score: 0.633
    1260. 

  1260. GAN cohens kappa score: 0.615
    1261. 

  1261. 

  1262. -> test with 'LR'
    1263. 

  1263. LR tn, fp: 551, 52
    1264. 

  1264. LR fn, tp: 9, 22
    1265. 

  1265. LR f1 score: 0.419
    1266. 

  1266. LR cohens kappa score: 0.376
    1267. 

  1267. LR average precision score: 0.524
    1268. 

  1268. 

  1269. -> test with 'RF'
    1270. 

  1270. RF tn, fp: 601, 2
    1271. 

  1271. RF fn, tp: 9, 22
    1272. 

  1272. RF f1 score: 0.800
    1273. 

  1273. RF cohens kappa score: 0.791
    1274. 

  1274. 

  1275. -> test with 'GB'
    1276. 

  1276. GB tn, fp: 598, 5
    1277. 

  1277. GB fn, tp: 3, 28
    1278. 

  1278. GB f1 score: 0.875
    1279. 

  1279. GB cohens kappa score: 0.868
    1280. 

  1280. 

  1281. -> test with 'KNN'
    1282. 

  1282. KNN tn, fp: 592, 11
    1283. 

  1283. KNN fn, tp: 11, 20
    1284. 

  1284. KNN f1 score: 0.645
    1285. 

  1285. KNN cohens kappa score: 0.627
    1286. 

  1286. 

  1287. 

  1288. ------ Step 5/5: Slice 3/5 -------
    1289. 

  1289. -> Reset the GAN
    1290. 

  1290. -> Train generator for synthetic samples
    1291. 

  1291. -> create 2289 synthetic samples
    1292. 

  1292. -> retrain GAN for predict
    1293. 

  1293. Epoch 1/10
    1294. 

  1294. 
  1/241 [..............................] - ETA: 51s - loss: 0.3412
 42/241 [====>.........................] - ETA: 0s - loss: 0.4166 
 83/241 [=========>....................] - ETA: 0s - loss: 0.2725
124/241 [==============>...............] - ETA: 0s - loss: 0.2095
165/241 [===================>..........] - ETA: 0s - loss: 0.1717
204/241 [========================>.....] - ETA: 0s - loss: 0.1544
241/241 [==============================] - 1s 1ms/step - loss: 0.1412
    1295. 

  1295. Epoch 2/10
    1296. 

  1296. 
  1/241 [..............................] - ETA: 0s - loss: 6.9912e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0508    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0646
120/241 [=============>................] - ETA: 0s - loss: 0.0550
159/241 [==================>...........] - ETA: 0s - loss: 0.0505
199/241 [=======================>......] - ETA: 0s - loss: 0.0505
239/241 [============================>.] - ETA: 0s - loss: 0.0479
241/241 [==============================] - 0s 1ms/step - loss: 0.0480
    1297. 

  1297. Epoch 3/10
    1298. 

  1298. 
  1/241 [..............................] - ETA: 0s - loss: 0.0737
 39/241 [===>..........................] - ETA: 0s - loss: 0.0378
 78/241 [========>.....................] - ETA: 0s - loss: 0.0362
119/241 [=============>................] - ETA: 0s - loss: 0.0343
160/241 [==================>...........] - ETA: 0s - loss: 0.0380
198/241 [=======================>......] - ETA: 0s - loss: 0.0378
239/241 [============================>.] - ETA: 0s - loss: 0.0382
241/241 [==============================] - 0s 1ms/step - loss: 0.0390
    1299. 

  1299. Epoch 4/10
    1300. 

  1300. 
  1/241 [..............................] - ETA: 0s - loss: 0.0860
 43/241 [====>.........................] - ETA: 0s - loss: 0.0255
 83/241 [=========>....................] - ETA: 0s - loss: 0.0247
122/241 [==============>...............] - ETA: 0s - loss: 0.0289
157/241 [==================>...........] - ETA: 0s - loss: 0.0350
189/241 [======================>.......] - ETA: 0s - loss: 0.0347
227/241 [===========================>..] - ETA: 0s - loss: 0.0337
241/241 [==============================] - 0s 1ms/step - loss: 0.0338
    1301. 

  1301. Epoch 5/10
    1302. 

  1302. 
  1/241 [..............................] - ETA: 0s - loss: 7.9313e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0315    
 79/241 [========>.....................] - ETA: 0s - loss: 0.0260
118/241 [=============>................] - ETA: 0s - loss: 0.0343
156/241 [==================>...........] - ETA: 0s - loss: 0.0328
195/241 [=======================>......] - ETA: 0s - loss: 0.0306
234/241 [============================>.] - ETA: 0s - loss: 0.0294
241/241 [==============================] - 0s 1ms/step - loss: 0.0292
    1303. 

  1303. Epoch 6/10
    1304. 

  1304. 
  1/241 [..............................] - ETA: 0s - loss: 0.2264
 41/241 [====>.........................] - ETA: 0s - loss: 0.0315
 83/241 [=========>....................] - ETA: 0s - loss: 0.0294
124/241 [==============>...............] - ETA: 0s - loss: 0.0274
165/241 [===================>..........] - ETA: 0s - loss: 0.0283
207/241 [========================>.....] - ETA: 0s - loss: 0.0266
241/241 [==============================] - 0s 1ms/step - loss: 0.0269
    1305. 

  1305. Epoch 7/10
    1306. 

  1306. 
  1/241 [..............................] - ETA: 0s - loss: 0.0518
 42/241 [====>.........................] - ETA: 0s - loss: 0.0292
 84/241 [=========>....................] - ETA: 0s - loss: 0.0249
124/241 [==============>...............] - ETA: 0s - loss: 0.0234
164/241 [===================>..........] - ETA: 0s - loss: 0.0203
204/241 [========================>.....] - ETA: 0s - loss: 0.0267
238/241 [============================>.] - ETA: 0s - loss: 0.0259
241/241 [==============================] - 0s 1ms/step - loss: 0.0261
    1307. 

  1307. Epoch 8/10
    1308. 

  1308. 
  1/241 [..............................] - ETA: 0s - loss: 0.0420
 41/241 [====>.........................] - ETA: 0s - loss: 0.0259
 73/241 [========>.....................] - ETA: 0s - loss: 0.0245
105/241 [============>.................] - ETA: 0s - loss: 0.0231
146/241 [=================>............] - ETA: 0s - loss: 0.0254
185/241 [======================>.......] - ETA: 0s - loss: 0.0235
224/241 [==========================>...] - ETA: 0s - loss: 0.0232
241/241 [==============================] - 0s 1ms/step - loss: 0.0232
    1309. 

  1309. Epoch 9/10
    1310. 

  1310. 
  1/241 [..............................] - ETA: 0s - loss: 5.4857e-04
 42/241 [====>.........................] - ETA: 0s - loss: 0.0270    
 83/241 [=========>....................] - ETA: 0s - loss: 0.0230
120/241 [=============>................] - ETA: 0s - loss: 0.0211
161/241 [===================>..........] - ETA: 0s - loss: 0.0211
202/241 [========================>.....] - ETA: 0s - loss: 0.0205
241/241 [==============================] - 0s 1ms/step - loss: 0.0208
    1311. 

  1311. Epoch 10/10
    1312. 

  1312. 
  1/241 [..............................] - ETA: 0s - loss: 5.2744e-04
 40/241 [===>..........................] - ETA: 0s - loss: 0.0159    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0203
122/241 [==============>...............] - ETA: 0s - loss: 0.0207
162/241 [===================>..........] - ETA: 0s - loss: 0.0205
199/241 [=======================>......] - ETA: 0s - loss: 0.0205
239/241 [============================>.] - ETA: 0s - loss: 0.0201
241/241 [==============================] - 0s 1ms/step - loss: 0.0205
    1313. 

  1313. -> test with GAN.predict
    1314. 

  1314. GAN tn, fp: 592, 11
    1315. 

  1315. GAN fn, tp: 11, 20
    1316. 

  1316. GAN f1 score: 0.645
    1317. 

  1317. GAN cohens kappa score: 0.627
    1318. 

  1318. 

  1319. -> test with 'LR'
    1320. 

  1320. LR tn, fp: 532, 71
    1321. 

  1321. LR fn, tp: 3, 28
    1322. 

  1322. LR f1 score: 0.431
    1323. 

  1323. LR cohens kappa score: 0.385
    1324. 

  1324. LR average precision score: 0.565
    1325. 

  1325. 

  1326. -> test with 'RF'
    1327. 

  1327. RF tn, fp: 599, 4
    1328. 

  1328. RF fn, tp: 11, 20
    1329. 

  1329. RF f1 score: 0.727
    1330. 

  1330. RF cohens kappa score: 0.715
    1331. 

  1331. 

  1332. -> test with 'GB'
    1333. 

  1333. GB tn, fp: 595, 8
    1334. 

  1334. GB fn, tp: 11, 20
    1335. 

  1335. GB f1 score: 0.678
    1336. 

  1336. GB cohens kappa score: 0.662
    1337. 

  1337. 

  1338. -> test with 'KNN'
    1339. 

  1339. KNN tn, fp: 591, 12
    1340. 

  1340. KNN fn, tp: 12, 19
    1341. 

  1341. KNN f1 score: 0.613
    1342. 

  1342. KNN cohens kappa score: 0.593
    1343. 

  1343. 

  1344. 

  1345. ------ Step 5/5: Slice 4/5 -------
    1346. 

  1346. -> Reset the GAN
    1347. 

  1347. -> Train generator for synthetic samples
    1348. 

  1348. -> create 2289 synthetic samples
    1349. 

  1349. -> retrain GAN for predict
    1350. 

  1350. Epoch 1/10
    1351. 

  1351. 
  1/241 [..............................] - ETA: 53s - loss: 3.2002
 41/241 [====>.........................] - ETA: 0s - loss: 0.5212 
 82/241 [=========>....................] - ETA: 0s - loss: 0.3276
123/241 [==============>...............] - ETA: 0s - loss: 0.2499
163/241 [===================>..........] - ETA: 0s - loss: 0.2127
203/241 [========================>.....] - ETA: 0s - loss: 0.1838
241/241 [==============================] - 1s 1ms/step - loss: 0.1640
    1352. 

  1352. Epoch 2/10
    1353. 

  1353. 
  1/241 [..............................] - ETA: 0s - loss: 0.2212
 42/241 [====>.........................] - ETA: 0s - loss: 0.0725
 83/241 [=========>....................] - ETA: 0s - loss: 0.0690
124/241 [==============>...............] - ETA: 0s - loss: 0.0662
165/241 [===================>..........] - ETA: 0s - loss: 0.0590
202/241 [========================>.....] - ETA: 0s - loss: 0.0639
241/241 [==============================] - 0s 1ms/step - loss: 0.0628
    1354. 

  1354. Epoch 3/10
    1355. 

  1355. 
  1/241 [..............................] - ETA: 0s - loss: 0.0348
 42/241 [====>.........................] - ETA: 0s - loss: 0.0537
 81/241 [=========>....................] - ETA: 0s - loss: 0.0564
122/241 [==============>...............] - ETA: 0s - loss: 0.0520
161/241 [===================>..........] - ETA: 0s - loss: 0.0492
201/241 [========================>.....] - ETA: 0s - loss: 0.0528
241/241 [==============================] - ETA: 0s - loss: 0.0504
241/241 [==============================] - 0s 1ms/step - loss: 0.0504
    1356. 

  1356. Epoch 4/10
    1357. 

  1357. 
  1/241 [..............................] - ETA: 0s - loss: 0.0303
 41/241 [====>.........................] - ETA: 0s - loss: 0.0238
 77/241 [========>.....................] - ETA: 0s - loss: 0.0378
118/241 [=============>................] - ETA: 0s - loss: 0.0419
156/241 [==================>...........] - ETA: 0s - loss: 0.0413
194/241 [=======================>......] - ETA: 0s - loss: 0.0424
234/241 [============================>.] - ETA: 0s - loss: 0.0432
241/241 [==============================] - 0s 1ms/step - loss: 0.0430
    1358. 

  1358. Epoch 5/10
    1359. 

  1359. 
  1/241 [..............................] - ETA: 0s - loss: 7.7752e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0236    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0334
122/241 [==============>...............] - ETA: 0s - loss: 0.0313
162/241 [===================>..........] - ETA: 0s - loss: 0.0328
200/241 [=======================>......] - ETA: 0s - loss: 0.0352
240/241 [============================>.] - ETA: 0s - loss: 0.0361
241/241 [==============================] - 0s 1ms/step - loss: 0.0360
    1360. 

  1360. Epoch 6/10
    1361. 

  1361. 
  1/241 [..............................] - ETA: 0s - loss: 0.0418
 42/241 [====>.........................] - ETA: 0s - loss: 0.0246
 80/241 [========>.....................] - ETA: 0s - loss: 0.0224
120/241 [=============>................] - ETA: 0s - loss: 0.0286
161/241 [===================>..........] - ETA: 0s - loss: 0.0344
198/241 [=======================>......] - ETA: 0s - loss: 0.0368
236/241 [============================>.] - ETA: 0s - loss: 0.0359
241/241 [==============================] - 0s 1ms/step - loss: 0.0365
    1362. 

  1362. Epoch 7/10
    1363. 

  1363. 
  1/241 [..............................] - ETA: 0s - loss: 0.0136
 34/241 [===>..........................] - ETA: 0s - loss: 0.0157
 68/241 [=======>......................] - ETA: 0s - loss: 0.0150
107/241 [============>.................] - ETA: 0s - loss: 0.0202
147/241 [=================>............] - ETA: 0s - loss: 0.0219
187/241 [======================>.......] - ETA: 0s - loss: 0.0262
228/241 [===========================>..] - ETA: 0s - loss: 0.0291
241/241 [==============================] - 0s 1ms/step - loss: 0.0302
    1364. 

  1364. Epoch 8/10
    1365. 

  1365. 
  1/241 [..............................] - ETA: 0s - loss: 0.0030
 42/241 [====>.........................] - ETA: 0s - loss: 0.0258
 83/241 [=========>....................] - ETA: 0s - loss: 0.0297
124/241 [==============>...............] - ETA: 0s - loss: 0.0256
166/241 [===================>..........] - ETA: 0s - loss: 0.0319
207/241 [========================>.....] - ETA: 0s - loss: 0.0334
241/241 [==============================] - 0s 1ms/step - loss: 0.0328
    1366. 

  1366. Epoch 9/10
    1367. 

  1367. 
  1/241 [..............................] - ETA: 0s - loss: 1.0557e-04
 41/241 [====>.........................] - ETA: 0s - loss: 0.0275    
 81/241 [=========>....................] - ETA: 0s - loss: 0.0297
120/241 [=============>................] - ETA: 0s - loss: 0.0278
162/241 [===================>..........] - ETA: 0s - loss: 0.0325
202/241 [========================>.....] - ETA: 0s - loss: 0.0305
241/241 [==============================] - 0s 1ms/step - loss: 0.0285
    1368. 

  1368. Epoch 10/10
    1369. 

  1369. 
  1/241 [..............................] - ETA: 0s - loss: 0.0856
 41/241 [====>.........................] - ETA: 0s - loss: 0.0177
 79/241 [========>.....................] - ETA: 0s - loss: 0.0210
116/241 [=============>................] - ETA: 0s - loss: 0.0219
157/241 [==================>...........] - ETA: 0s - loss: 0.0225
195/241 [=======================>......] - ETA: 0s - loss: 0.0262
227/241 [===========================>..] - ETA: 0s - loss: 0.0286
241/241 [==============================] - 0s 1ms/step - loss: 0.0281
    1370. 

  1370. -> test with GAN.predict
    1371. 

  1371. GAN tn, fp: 594, 9
    1372. 

  1372. GAN fn, tp: 6, 25
    1373. 

  1373. GAN f1 score: 0.769
    1374. 

  1374. GAN cohens kappa score: 0.757
    1375. 

  1375. 

  1376. -> test with 'LR'
    1377. 

  1377. LR tn, fp: 546, 57
    1378. 

  1378. LR fn, tp: 6, 25
    1379. 

  1379. LR f1 score: 0.442
    1380. 

  1380. LR cohens kappa score: 0.400
    1381. 

  1381. LR average precision score: 0.481
    1382. 

  1382. 

  1383. -> test with 'RF'
    1384. 

  1384. RF tn, fp: 600, 3
    1385. 

  1385. RF fn, tp: 5, 26
    1386. 

  1386. RF f1 score: 0.867
    1387. 

  1387. RF cohens kappa score: 0.860
    1388. 

  1388. 

  1389. -> test with 'GB'
    1390. 

  1390. GB tn, fp: 597, 6
    1391. 

  1391. GB fn, tp: 3, 28
    1392. 

  1392. GB f1 score: 0.862
    1393. 

  1393. GB cohens kappa score: 0.854
    1394. 

  1394. 

  1395. -> test with 'KNN'
    1396. 

  1396. KNN tn, fp: 588, 15
    1397. 

  1397. KNN fn, tp: 7, 24
    1398. 

  1398. KNN f1 score: 0.686
    1399. 

  1399. KNN cohens kappa score: 0.668
    1400. 

  1400. 

  1401. 

  1402. ------ Step 5/5: Slice 5/5 -------
    1403. 

  1403. -> Reset the GAN
    1404. 

  1404. -> Train generator for synthetic samples
    1405. 

  1405. -> create 2288 synthetic samples
    1406. 

  1406. -> retrain GAN for predict
    1407. 

  1407. Epoch 1/10
    1408. 

  1408. 
  1/242 [..............................] - ETA: 53s - loss: 1.5694e-05
 43/242 [====>.........................] - ETA: 0s - loss: 0.6265     
 83/242 [=========>....................] - ETA: 0s - loss: 0.3735
124/242 [==============>...............] - ETA: 0s - loss: 0.2805
165/242 [===================>..........] - ETA: 0s - loss: 0.2426
206/242 [========================>.....] - ETA: 0s - loss: 0.2228
242/242 [==============================] - 1s 1ms/step - loss: 0.2042
    1409. 

  1409. Epoch 2/10
    1410. 

  1410. 
  1/242 [..............................] - ETA: 0s - loss: 0.0033
 40/242 [===>..........................] - ETA: 0s - loss: 0.0614
 80/242 [========>.....................] - ETA: 0s - loss: 0.0634
121/242 [==============>...............] - ETA: 0s - loss: 0.0626
161/242 [==================>...........] - ETA: 0s - loss: 0.0610
201/242 [=======================>......] - ETA: 0s - loss: 0.0663
239/242 [============================>.] - ETA: 0s - loss: 0.0640
242/242 [==============================] - 0s 1ms/step - loss: 0.0636
    1411. 

  1411. Epoch 3/10
    1412. 

  1412. 
  1/242 [..............................] - ETA: 0s - loss: 0.0298
 42/242 [====>.........................] - ETA: 0s - loss: 0.0430
 82/242 [=========>....................] - ETA: 0s - loss: 0.0418
124/242 [==============>...............] - ETA: 0s - loss: 0.0513
164/242 [===================>..........] - ETA: 0s - loss: 0.0512
203/242 [========================>.....] - ETA: 0s - loss: 0.0525
240/242 [============================>.] - ETA: 0s - loss: 0.0503
242/242 [==============================] - 0s 1ms/step - loss: 0.0502
    1413. 

  1413. Epoch 4/10
    1414. 

  1414. 
  1/242 [..............................] - ETA: 0s - loss: 0.0306
 41/242 [====>.........................] - ETA: 0s - loss: 0.0453
 80/242 [========>.....................] - ETA: 0s - loss: 0.0424
121/242 [==============>...............] - ETA: 0s - loss: 0.0441
161/242 [==================>...........] - ETA: 0s - loss: 0.0437
202/242 [========================>.....] - ETA: 0s - loss: 0.0480
240/242 [============================>.] - ETA: 0s - loss: 0.0477
242/242 [==============================] - 0s 1ms/step - loss: 0.0475
    1415. 

  1415. Epoch 5/10
    1416. 

  1416. 
  1/242 [..............................] - ETA: 0s - loss: 0.0395
 41/242 [====>.........................] - ETA: 0s - loss: 0.0331
 82/242 [=========>....................] - ETA: 0s - loss: 0.0391
123/242 [==============>...............] - ETA: 0s - loss: 0.0451
162/242 [===================>..........] - ETA: 0s - loss: 0.0461
195/242 [=======================>......] - ETA: 0s - loss: 0.0436
230/242 [===========================>..] - ETA: 0s - loss: 0.0429
242/242 [==============================] - 0s 1ms/step - loss: 0.0426
    1417. 

  1417. Epoch 6/10
    1418. 

  1418. 
  1/242 [..............................] - ETA: 0s - loss: 0.0067
 36/242 [===>..........................] - ETA: 0s - loss: 0.0350
 70/242 [=======>......................] - ETA: 0s - loss: 0.0340
110/242 [============>.................] - ETA: 0s - loss: 0.0388
149/242 [=================>............] - ETA: 0s - loss: 0.0402
189/242 [======================>.......] - ETA: 0s - loss: 0.0403
229/242 [===========================>..] - ETA: 0s - loss: 0.0394
242/242 [==============================] - 0s 1ms/step - loss: 0.0384
    1419. 

  1419. Epoch 7/10
    1420. 

  1420. 
  1/242 [..............................] - ETA: 0s - loss: 0.0035
 41/242 [====>.........................] - ETA: 0s - loss: 0.0386
 83/242 [=========>....................] - ETA: 0s - loss: 0.0366
124/242 [==============>...............] - ETA: 0s - loss: 0.0370
165/242 [===================>..........] - ETA: 0s - loss: 0.0355
205/242 [========================>.....] - ETA: 0s - loss: 0.0348
242/242 [==============================] - 0s 1ms/step - loss: 0.0357
    1421. 

  1421. Epoch 8/10
    1422. 

  1422. 
  1/242 [..............................] - ETA: 0s - loss: 0.0305
 42/242 [====>.........................] - ETA: 0s - loss: 0.0280
 83/242 [=========>....................] - ETA: 0s - loss: 0.0305
124/242 [==============>...............] - ETA: 0s - loss: 0.0331
165/242 [===================>..........] - ETA: 0s - loss: 0.0332
207/242 [========================>.....] - ETA: 0s - loss: 0.0331
242/242 [==============================] - 0s 1ms/step - loss: 0.0344
    1423. 

  1423. Epoch 9/10
    1424. 

  1424. 
  1/242 [..............................] - ETA: 0s - loss: 0.0639
 41/242 [====>.........................] - ETA: 0s - loss: 0.0320
 81/242 [=========>....................] - ETA: 0s - loss: 0.0286
120/242 [=============>................] - ETA: 0s - loss: 0.0351
159/242 [==================>...........] - ETA: 0s - loss: 0.0333
199/242 [=======================>......] - ETA: 0s - loss: 0.0324
239/242 [============================>.] - ETA: 0s - loss: 0.0322
242/242 [==============================] - 0s 1ms/step - loss: 0.0320
    1425. 

  1425. Epoch 10/10
    1426. 

  1426. 
  1/242 [..............................] - ETA: 0s - loss: 0.0406
 38/242 [===>..........................] - ETA: 0s - loss: 0.0227
 78/242 [========>.....................] - ETA: 0s - loss: 0.0303
117/242 [=============>................] - ETA: 0s - loss: 0.0297
156/242 [==================>...........] - ETA: 0s - loss: 0.0299
196/242 [=======================>......] - ETA: 0s - loss: 0.0314
236/242 [============================>.] - ETA: 0s - loss: 0.0327
242/242 [==============================] - 0s 1ms/step - loss: 0.0325
    1427. 

  1427. -> test with GAN.predict
    1428. 

  1428. GAN tn, fp: 592, 8
    1429. 

  1429. GAN fn, tp: 7, 20
    1430. 

  1430. GAN f1 score: 0.727
    1431. 

  1431. GAN cohens kappa score: 0.715
    1432. 

  1432. 

  1433. -> test with 'LR'
    1434. 

  1434. LR tn, fp: 537, 63
    1435. 

  1435. LR fn, tp: 5, 22
    1436. 

  1436. LR f1 score: 0.393
    1437. 

  1437. LR cohens kappa score: 0.350
    1438. 

  1438. LR average precision score: 0.337
    1439. 

  1439. 

  1440. -> test with 'RF'
    1441. 

  1441. RF tn, fp: 595, 5
    1442. 

  1442. RF fn, tp: 10, 17
    1443. 

  1443. RF f1 score: 0.694
    1444. 

  1444. RF cohens kappa score: 0.682
    1445. 

  1445. 

  1446. -> test with 'GB'
    1447. 

  1447. GB tn, fp: 593, 7
    1448. 

  1448. GB fn, tp: 6, 21
    1449. 

  1449. GB f1 score: 0.764
    1450. 

  1450. GB cohens kappa score: 0.753
    1451. 

  1451. 

  1452. -> test with 'KNN'
    1453. 

  1453. KNN tn, fp: 586, 14
    1454. 

  1454. KNN fn, tp: 8, 19
    1455. 

  1455. KNN f1 score: 0.633
    1456. 

  1456. KNN cohens kappa score: 0.615
    1457. 

  1457. 

  1458. ### Exercise is done.
    1459. 

  1459. 

  1460. -----[ LR ]-----
    1461. 

  1461. maximum:
    1462. 

  1462. LR tn, fp: 561, 77
    1463. 

  1463. LR fn, tp: 11, 30
    1464. 

  1464. LR f1 score: 0.482
    1465. 

  1465. LR cohens kappa score: 0.443
    1466. 

  1466. LR average precision score: 0.611
    1467. 

  1467. 

  1468. 

  1469. average:
    1470. 

  1470. LR tn, fp: 542.44, 59.96
    1471. 

  1471. LR fn, tp: 5.64, 24.56
    1472. 

  1472. LR f1 score: 0.429
    1473. 

  1473. LR cohens kappa score: 0.386
    1474. 

  1474. LR average precision score: 0.473
    1475. 

  1475. 

  1476. 

  1477. minimum:
    1478. 

  1478. LR tn, fp: 523, 42
    1479. 

  1479. LR fn, tp: 1, 20
    1480. 

  1480. LR f1 score: 0.364
    1481. 

  1481. LR cohens kappa score: 0.314
    1482. 

  1482. LR average precision score: 0.315
    1483. 

  1483. 

  1484. 

  1485. -----[ RF ]-----
    1486. 

  1486. maximum:
    1487. 

  1487. RF tn, fp: 603, 8
    1488. 

  1488. RF fn, tp: 14, 28
    1489. 

  1489. RF f1 score: 0.868
    1490. 

  1490. RF cohens kappa score: 0.862
    1491. 

  1491. 

  1492. 

  1493. average:
    1494. 

  1494. RF tn, fp: 598.6, 3.8
    1495. 

  1495. RF fn, tp: 7.64, 22.56
    1496. 

  1496. RF f1 score: 0.796
    1497. 

  1497. RF cohens kappa score: 0.786
    1498. 

  1498. 

  1499. 

  1500. minimum:
    1501. 

  1501. RF tn, fp: 595, 0
    1502. 

  1502. RF fn, tp: 3, 17
    1503. 

  1503. RF f1 score: 0.680
    1504. 

  1504. RF cohens kappa score: 0.668
    1505. 

  1505. 

  1506. 

  1507. -----[ GB ]-----
    1508. 

  1508. maximum:
    1509. 

  1509. GB tn, fp: 603, 11
    1510. 

  1510. GB fn, tp: 11, 28
    1511. 

  1511. GB f1 score: 0.929
    1512. 

  1512. GB cohens kappa score: 0.925
    1513. 

  1513. 

  1514. 

  1515. average:
    1516. 

  1516. GB tn, fp: 596.4, 6.0
    1517. 

  1517. GB fn, tp: 5.28, 24.92
    1518. 

  1518. GB f1 score: 0.815
    1519. 

  1519. GB cohens kappa score: 0.806
    1520. 

  1520. 

  1521. 

  1522. minimum:
    1523. 

  1523. GB tn, fp: 592, 0
    1524. 

  1524. GB fn, tp: 1, 20
    1525. 

  1525. GB f1 score: 0.678
    1526. 

  1526. GB cohens kappa score: 0.662
    1527. 

  1527. 

  1528. 

  1529. -----[ KNN ]-----
    1530. 

  1530. maximum:
    1531. 

  1531. KNN tn, fp: 598, 21
    1532. 

  1532. KNN fn, tp: 21, 24
    1533. 

  1533. KNN f1 score: 0.807
    1534. 

  1534. KNN cohens kappa score: 0.798
    1535. 

  1535. 

  1536. 

  1537. average:
    1538. 

  1538. KNN tn, fp: 590.64, 11.76
    1539. 

  1539. KNN fn, tp: 10.12, 20.08
    1540. 

  1540. KNN f1 score: 0.646
    1541. 

  1541. KNN cohens kappa score: 0.628
    1542. 

  1542. 

  1543. 

  1544. minimum:
    1545. 

  1545. KNN tn, fp: 582, 5
    1546. 

  1546. KNN fn, tp: 4, 10
    1547. 

  1547. KNN f1 score: 0.435
    1548. 

  1548. KNN cohens kappa score: 0.416
    1549. 

  1549. 

  1550. 

  1551. -----[ GAN ]-----
    1552. 

  1552. maximum:
    1553. 

  1553. GAN tn, fp: 600, 17
    1554. 

  1554. GAN fn, tp: 15, 25
    1555. 

  1555. GAN f1 score: 0.787
    1556. 

  1556. GAN cohens kappa score: 0.776
    1557. 

  1557. 

  1558. 

  1559. average:
    1560. 

  1560. GAN tn, fp: 591.56, 10.84
    1561. 

  1561. GAN fn, tp: 8.6, 21.6
    1562. 

  1562. GAN f1 score: 0.690
    1563. 

  1563. GAN cohens kappa score: 0.674
    1564. 

  1564. 

  1565. 

  1566. minimum:
    1567. 

  1567. GAN tn, fp: 583, 3
    1568. 

  1568. GAN fn, tp: 2, 16
    1569. 

  1569. GAN f1 score: 0.603
    1570. 

  1570. GAN cohens kappa score: 0.583
    1571. 

  1571.