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folding_shuttle-2_vs_5.log

folding_shuttle-2_vs_5.log 364 KB
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
  1. 

  2. 

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

  4. // Running convGAN-proximary-full on folding_shuttle-2_vs_5
    5. 

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

  6. 

  7. Load 'data_input/folding_shuttle-2_vs_5'
    8. 

  8. from pickle file
    9. 

  9. Data loaded.
    10. 

  10. -> Shuffling data
    11. 

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

  12. 

  13. ====== Step 1/5 =======
    14. 

  14. -> Shuffling data
    15. 

  15. -> Spliting data to slices
    16. 

  16. 

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

  18. -> Reset the GAN
    19. 

  19. -> Train generator for synthetic samples
    20. 

  20. -> create 2574 synthetic samples
    21. 

  21. -> retrain GAN for predict
    22. 

  22. Epoch 1/10
    23. 

  23. 
  1/262 [..............................] - ETA: 46s - loss: 4.2452e-07
 37/262 [===>..........................] - ETA: 0s - loss: 0.0875     
 73/262 [=======>......................] - ETA: 0s - loss: 0.0447
108/262 [===========>..................] - ETA: 0s - loss: 0.0302
143/262 [===============>..............] - ETA: 0s - loss: 0.0228
179/262 [===================>..........] - ETA: 0s - loss: 0.0182
211/262 [=======================>......] - ETA: 0s - loss: 0.0155
247/262 [===========================>..] - ETA: 0s - loss: 0.0132
262/262 [==============================] - 1s 1ms/step - loss: 0.0125
    24. 

  24. Epoch 2/10
    25. 

  25. 
  1/262 [..............................] - ETA: 0s - loss: 4.7589e-06
 35/262 [===>..........................] - ETA: 0s - loss: 9.5856e-06
 70/262 [=======>......................] - ETA: 0s - loss: 8.8513e-06
106/262 [===========>..................] - ETA: 0s - loss: 6.5483e-06
141/262 [===============>..............] - ETA: 0s - loss: 5.3770e-06
178/262 [===================>..........] - ETA: 0s - loss: 4.7353e-06
214/262 [=======================>......] - ETA: 0s - loss: 4.5225e-06
250/262 [===========================>..] - ETA: 0s - loss: 4.7295e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.5793e-06
    26. 

  26. Epoch 3/10
    27. 

  27. 
  1/262 [..............................] - ETA: 0s - loss: 6.9356e-07
 36/262 [===>..........................] - ETA: 0s - loss: 1.6072e-06
 72/262 [=======>......................] - ETA: 0s - loss: 1.7167e-06
105/262 [===========>..................] - ETA: 0s - loss: 1.9772e-06
139/262 [==============>...............] - ETA: 0s - loss: 1.7502e-06
175/262 [===================>..........] - ETA: 0s - loss: 3.3355e-06
209/262 [======================>.......] - ETA: 0s - loss: 3.9402e-06
240/262 [==========================>...] - ETA: 0s - loss: 4.0039e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.9356e-06
    28. 

  28. Epoch 4/10
    29. 

  29. 
  1/262 [..............................] - ETA: 0s - loss: 4.9912e-07
 29/262 [==>...........................] - ETA: 0s - loss: 1.8891e-06
 62/262 [======>.......................] - ETA: 0s - loss: 1.7439e-06
 95/262 [=========>....................] - ETA: 0s - loss: 1.9449e-06
125/262 [=============>................] - ETA: 0s - loss: 1.6394e-06
157/262 [================>.............] - ETA: 0s - loss: 1.6060e-06
191/262 [====================>.........] - ETA: 0s - loss: 2.4903e-06
226/262 [========================>.....] - ETA: 0s - loss: 2.5563e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.2856e-06
    30. 

  30. Epoch 5/10
    31. 

  31. 
  1/262 [..............................] - ETA: 0s - loss: 1.0524e-06
 34/262 [==>...........................] - ETA: 0s - loss: 2.6251e-06
 67/262 [======>.......................] - ETA: 0s - loss: 3.4908e-06
102/262 [==========>...................] - ETA: 0s - loss: 2.8091e-06
135/262 [==============>...............] - ETA: 0s - loss: 2.3522e-06
172/262 [==================>...........] - ETA: 0s - loss: 2.3064e-06
207/262 [======================>.......] - ETA: 0s - loss: 2.0002e-06
243/262 [==========================>...] - ETA: 0s - loss: 1.8096e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.7581e-06
    32. 

  32. Epoch 6/10
    33. 

  33. 
  1/262 [..............................] - ETA: 0s - loss: 2.8451e-07
 36/262 [===>..........................] - ETA: 0s - loss: 8.7164e-07
 71/262 [=======>......................] - ETA: 0s - loss: 1.0377e-06
106/262 [===========>..................] - ETA: 0s - loss: 9.9539e-07
141/262 [===============>..............] - ETA: 0s - loss: 1.0207e-06
176/262 [===================>..........] - ETA: 0s - loss: 9.2262e-07
214/262 [=======================>......] - ETA: 0s - loss: 8.5329e-07
247/262 [===========================>..] - ETA: 0s - loss: 1.3057e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.4374e-06
    34. 

  34. Epoch 7/10
    35. 

  35. 
  1/262 [..............................] - ETA: 0s - loss: 3.1976e-07
 36/262 [===>..........................] - ETA: 0s - loss: 1.2350e-06
 71/262 [=======>......................] - ETA: 0s - loss: 9.0453e-07
107/262 [===========>..................] - ETA: 0s - loss: 7.5389e-07
142/262 [===============>..............] - ETA: 0s - loss: 1.0043e-06
176/262 [===================>..........] - ETA: 0s - loss: 9.8065e-07
212/262 [=======================>......] - ETA: 0s - loss: 1.2010e-06
248/262 [===========================>..] - ETA: 0s - loss: 1.2533e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2370e-06
    36. 

  36. Epoch 8/10
    37. 

  37. 
  1/262 [..............................] - ETA: 0s - loss: 1.2128e-07
 37/262 [===>..........................] - ETA: 0s - loss: 6.3528e-07
 77/262 [=======>......................] - ETA: 0s - loss: 1.5127e-06
114/262 [============>.................] - ETA: 0s - loss: 1.1706e-06
151/262 [================>.............] - ETA: 0s - loss: 1.0577e-06
191/262 [====================>.........] - ETA: 0s - loss: 1.0058e-06
227/262 [========================>.....] - ETA: 0s - loss: 9.6762e-07
262/262 [==============================] - ETA: 0s - loss: 9.2792e-07
262/262 [==============================] - 0s 1ms/step - loss: 9.2792e-07
    38. 

  38. Epoch 9/10
    39. 

  39. 
  1/262 [..............................] - ETA: 0s - loss: 5.5013e-07
 38/262 [===>..........................] - ETA: 0s - loss: 2.6924e-06
 73/262 [=======>......................] - ETA: 0s - loss: 1.6882e-06
104/262 [==========>...................] - ETA: 0s - loss: 1.4601e-06
135/262 [==============>...............] - ETA: 0s - loss: 1.2077e-06
165/262 [=================>............] - ETA: 0s - loss: 1.2650e-06
196/262 [=====================>........] - ETA: 0s - loss: 1.0938e-06
230/262 [=========================>....] - ETA: 0s - loss: 1.0149e-06
262/262 [==============================] - 0s 2ms/step - loss: 9.3511e-07
    40. 

  40. Epoch 10/10
    41. 

  41. 
  1/262 [..............................] - ETA: 0s - loss: 2.6213e-07
 36/262 [===>..........................] - ETA: 0s - loss: 7.8513e-07
 72/262 [=======>......................] - ETA: 0s - loss: 6.0960e-07
111/262 [===========>..................] - ETA: 0s - loss: 5.8050e-07
150/262 [================>.............] - ETA: 0s - loss: 5.3139e-07
190/262 [====================>.........] - ETA: 0s - loss: 4.4940e-07
228/262 [=========================>....] - ETA: 0s - loss: 8.5188e-07
261/262 [============================>.] - ETA: 0s - loss: 7.8647e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.8562e-07
    42. 

  42. -> test with GAN.predict
    43. 

  43. GAN tn, fp: 654, 0
    44. 

  44. GAN fn, tp: 0, 10
    45. 

  45. GAN f1 score: 1.000
    46. 

  46. GAN cohens kappa score: 1.000
    47. 

  47. 

  48. -> test with 'LR'
    49. 

  49. LR tn, fp: 653, 1
    50. 

  50. LR fn, tp: 0, 10
    51. 

  51. LR f1 score: 0.952
    52. 

  52. LR cohens kappa score: 0.952
    53. 

  53. LR average precision score: 1.000
    54. 

  54. 

  55. -> test with 'RF'
    56. 

  56. RF tn, fp: 654, 0
    57. 

  57. RF fn, tp: 0, 10
    58. 

  58. RF f1 score: 1.000
    59. 

  59. RF cohens kappa score: 1.000
    60. 

  60. 

  61. -> test with 'GB'
    62. 

  62. GB tn, fp: 654, 0
    63. 

  63. GB fn, tp: 0, 10
    64. 

  64. GB f1 score: 1.000
    65. 

  65. GB cohens kappa score: 1.000
    66. 

  66. 

  67. -> test with 'KNN'
    68. 

  68. KNN tn, fp: 653, 1
    69. 

  69. KNN fn, tp: 0, 10
    70. 

  70. KNN f1 score: 0.952
    71. 

  71. KNN cohens kappa score: 0.952
    72. 

  72. 

  73. 

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

  75. -> Reset the GAN
    76. 

  76. -> Train generator for synthetic samples
    77. 

  77. -> create 2574 synthetic samples
    78. 

  78. -> retrain GAN for predict
    79. 

  79. Epoch 1/10
    80. 

  80. 
  1/262 [..............................] - ETA: 50s - loss: 0.0473
 32/262 [==>...........................] - ETA: 0s - loss: 0.1637 
 71/262 [=======>......................] - ETA: 0s - loss: 0.1026
111/262 [===========>..................] - ETA: 0s - loss: 0.0658
149/262 [================>.............] - ETA: 0s - loss: 0.0491
187/262 [====================>.........] - ETA: 0s - loss: 0.0391
219/262 [========================>.....] - ETA: 0s - loss: 0.0335
258/262 [============================>.] - ETA: 0s - loss: 0.0284
262/262 [==============================] - 1s 1ms/step - loss: 0.0281
    81. 

  81. Epoch 2/10
    82. 

  82. 
  1/262 [..............................] - ETA: 0s - loss: 4.8200e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.7760e-05
 80/262 [========>.....................] - ETA: 0s - loss: 1.7303e-05
117/262 [============>.................] - ETA: 0s - loss: 1.2574e-05
154/262 [================>.............] - ETA: 0s - loss: 1.0483e-05
190/262 [====================>.........] - ETA: 0s - loss: 9.1955e-06
228/262 [=========================>....] - ETA: 0s - loss: 9.9793e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2347e-05
    83. 

  83. Epoch 3/10
    84. 

  84. 
  1/262 [..............................] - ETA: 0s - loss: 2.6021e-06
 42/262 [===>..........................] - ETA: 0s - loss: 3.4862e-06
 79/262 [========>.....................] - ETA: 0s - loss: 7.4035e-06
119/262 [============>.................] - ETA: 0s - loss: 6.0979e-06
153/262 [================>.............] - ETA: 0s - loss: 5.2212e-06
191/262 [====================>.........] - ETA: 0s - loss: 5.8672e-06
230/262 [=========================>....] - ETA: 0s - loss: 6.0364e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.9014e-06
    85. 

  85. Epoch 4/10
    86. 

  86. 
  1/262 [..............................] - ETA: 0s - loss: 7.5885e-07
 39/262 [===>..........................] - ETA: 0s - loss: 1.7450e-06
 77/262 [=======>......................] - ETA: 0s - loss: 4.4136e-06
113/262 [===========>..................] - ETA: 0s - loss: 6.6332e-06
152/262 [================>.............] - ETA: 0s - loss: 7.1007e-06
192/262 [====================>.........] - ETA: 0s - loss: 6.4617e-06
230/262 [=========================>....] - ETA: 0s - loss: 5.7275e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.3592e-06
    87. 

  87. Epoch 5/10
    88. 

  88. 
  1/262 [..............................] - ETA: 0s - loss: 1.0776e-06
 40/262 [===>..........................] - ETA: 0s - loss: 3.5328e-06
 73/262 [=======>......................] - ETA: 0s - loss: 5.0980e-06
111/262 [===========>..................] - ETA: 0s - loss: 3.8810e-06
149/262 [================>.............] - ETA: 0s - loss: 5.3029e-06
189/262 [====================>.........] - ETA: 0s - loss: 4.5277e-06
229/262 [=========================>....] - ETA: 0s - loss: 3.9889e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.4630e-06
    89. 

  89. Epoch 6/10
    90. 

  90. 
  1/262 [..............................] - ETA: 0s - loss: 5.0588e-06
 37/262 [===>..........................] - ETA: 0s - loss: 1.0488e-06
 76/262 [=======>......................] - ETA: 0s - loss: 2.5419e-06
115/262 [============>.................] - ETA: 0s - loss: 5.5415e-06
154/262 [================>.............] - ETA: 0s - loss: 5.1001e-06
192/262 [====================>.........] - ETA: 0s - loss: 4.5184e-06
225/262 [========================>.....] - ETA: 0s - loss: 4.0412e-06
258/262 [============================>.] - ETA: 0s - loss: 3.7804e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.7446e-06
    91. 

  91. Epoch 7/10
    92. 

  92. 
  1/262 [..............................] - ETA: 0s - loss: 1.0454e-06
 35/262 [===>..........................] - ETA: 0s - loss: 1.4203e-06
 74/262 [=======>......................] - ETA: 0s - loss: 5.9355e-06
112/262 [===========>..................] - ETA: 0s - loss: 4.7379e-06
148/262 [===============>..............] - ETA: 0s - loss: 4.0936e-06
185/262 [====================>.........] - ETA: 0s - loss: 3.5268e-06
225/262 [========================>.....] - ETA: 0s - loss: 3.3424e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.0802e-06
    93. 

  93. Epoch 8/10
    94. 

  94. 
  1/262 [..............................] - ETA: 0s - loss: 1.7235e-05
 34/262 [==>...........................] - ETA: 0s - loss: 1.4197e-06
 72/262 [=======>......................] - ETA: 0s - loss: 2.4239e-06
111/262 [===========>..................] - ETA: 0s - loss: 4.5679e-06
144/262 [===============>..............] - ETA: 0s - loss: 4.1367e-06
186/262 [====================>.........] - ETA: 0s - loss: 3.4680e-06
227/262 [========================>.....] - ETA: 0s - loss: 2.9803e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.6901e-06
    95. 

  95. Epoch 9/10
    96. 

  96. 
  1/262 [..............................] - ETA: 0s - loss: 8.1002e-07
 40/262 [===>..........................] - ETA: 0s - loss: 9.3258e-07
 78/262 [=======>......................] - ETA: 0s - loss: 2.5927e-06
116/262 [============>.................] - ETA: 0s - loss: 2.0092e-06
154/262 [================>.............] - ETA: 0s - loss: 2.5246e-06
193/262 [=====================>........] - ETA: 0s - loss: 2.2531e-06
233/262 [=========================>....] - ETA: 0s - loss: 2.3350e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.2248e-06
    97. 

  97. Epoch 10/10
    98. 

  98. 
  1/262 [..............................] - ETA: 0s - loss: 3.4252e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.0112e-06
 78/262 [=======>......................] - ETA: 0s - loss: 3.3285e-06
116/262 [============>.................] - ETA: 0s - loss: 2.4869e-06
155/262 [================>.............] - ETA: 0s - loss: 2.0601e-06
192/262 [====================>.........] - ETA: 0s - loss: 1.8861e-06
233/262 [=========================>....] - ETA: 0s - loss: 1.7007e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.8806e-06
    99. 

  99. -> test with GAN.predict
    100. 

  100. GAN tn, fp: 654, 0
    101. 

  101. GAN fn, tp: 0, 10
    102. 

  102. GAN f1 score: 1.000
    103. 

  103. GAN cohens kappa score: 1.000
    104. 

  104. 

  105. -> test with 'LR'
    106. 

  106. LR tn, fp: 654, 0
    107. 

  107. LR fn, tp: 0, 10
    108. 

  108. LR f1 score: 1.000
    109. 

  109. LR cohens kappa score: 1.000
    110. 

  110. LR average precision score: 1.000
    111. 

  111. 

  112. -> test with 'RF'
    113. 

  113. RF tn, fp: 654, 0
    114. 

  114. RF fn, tp: 0, 10
    115. 

  115. RF f1 score: 1.000
    116. 

  116. RF cohens kappa score: 1.000
    117. 

  117. 

  118. -> test with 'GB'
    119. 

  119. GB tn, fp: 654, 0
    120. 

  120. GB fn, tp: 0, 10
    121. 

  121. GB f1 score: 1.000
    122. 

  122. GB cohens kappa score: 1.000
    123. 

  123. 

  124. -> test with 'KNN'
    125. 

  125. KNN tn, fp: 653, 1
    126. 

  126. KNN fn, tp: 0, 10
    127. 

  127. KNN f1 score: 0.952
    128. 

  128. KNN cohens kappa score: 0.952
    129. 

  129. 

  130. 

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

  132. -> Reset the GAN
    133. 

  133. -> Train generator for synthetic samples
    134. 

  134. -> create 2574 synthetic samples
    135. 

  135. -> retrain GAN for predict
    136. 

  136. Epoch 1/10
    137. 

  137. 
  1/262 [..............................] - ETA: 50s - loss: 4.9872e-08
 38/262 [===>..........................] - ETA: 0s - loss: 0.3542     
 76/262 [=======>......................] - ETA: 0s - loss: 0.1773
109/262 [===========>..................] - ETA: 0s - loss: 0.1236
145/262 [===============>..............] - ETA: 0s - loss: 0.0929
177/262 [===================>..........] - ETA: 0s - loss: 0.0762
216/262 [=======================>......] - ETA: 0s - loss: 0.0625
251/262 [===========================>..] - ETA: 0s - loss: 0.0538
262/262 [==============================] - 1s 1ms/step - loss: 0.0517
    138. 

  138. Epoch 2/10
    139. 

  139. 
  1/262 [..............................] - ETA: 0s - loss: 2.9486e-07
 35/262 [===>..........................] - ETA: 0s - loss: 1.2295e-05
 72/262 [=======>......................] - ETA: 0s - loss: 6.8167e-06
109/262 [===========>..................] - ETA: 0s - loss: 5.1455e-06
143/262 [===============>..............] - ETA: 0s - loss: 6.3595e-06
179/262 [===================>..........] - ETA: 0s - loss: 5.7500e-06
212/262 [=======================>......] - ETA: 0s - loss: 5.1854e-06
242/262 [==========================>...] - ETA: 0s - loss: 4.8191e-06
262/262 [==============================] - 0s 2ms/step - loss: 7.3210e-06
    140. 

  140. Epoch 3/10
    141. 

  141. 
  1/262 [..............................] - ETA: 0s - loss: 1.2942e-07
 36/262 [===>..........................] - ETA: 0s - loss: 1.9230e-06
 73/262 [=======>......................] - ETA: 0s - loss: 3.1737e-06
106/262 [===========>..................] - ETA: 0s - loss: 2.7588e-06
140/262 [===============>..............] - ETA: 0s - loss: 2.3722e-06
171/262 [==================>...........] - ETA: 0s - loss: 2.0781e-06
197/262 [=====================>........] - ETA: 0s - loss: 2.2284e-06
234/262 [=========================>....] - ETA: 0s - loss: 2.5219e-06
262/262 [==============================] - 0s 2ms/step - loss: 3.3344e-06
    142. 

  142. Epoch 4/10
    143. 

  143. 
  1/262 [..............................] - ETA: 0s - loss: 3.5260e-07
 27/262 [==>...........................] - ETA: 0s - loss: 7.1966e-07
 62/262 [======>.......................] - ETA: 0s - loss: 1.4885e-06
 92/262 [=========>....................] - ETA: 0s - loss: 2.1585e-06
126/262 [=============>................] - ETA: 0s - loss: 3.0592e-06
159/262 [=================>............] - ETA: 0s - loss: 2.6380e-06
189/262 [====================>.........] - ETA: 0s - loss: 2.7044e-06
223/262 [========================>.....] - ETA: 0s - loss: 2.4332e-06
257/262 [============================>.] - ETA: 0s - loss: 2.2527e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.2264e-06
    144. 

  144. Epoch 5/10
    145. 

  145. 
  1/262 [..............................] - ETA: 0s - loss: 8.2323e-08
 36/262 [===>..........................] - ETA: 0s - loss: 7.4735e-07
 66/262 [======>.......................] - ETA: 0s - loss: 1.8032e-06
 96/262 [=========>....................] - ETA: 0s - loss: 2.7075e-06
129/262 [=============>................] - ETA: 0s - loss: 2.5271e-06
162/262 [=================>............] - ETA: 0s - loss: 2.1648e-06
190/262 [====================>.........] - ETA: 0s - loss: 1.9178e-06
218/262 [=======================>......] - ETA: 0s - loss: 1.8088e-06
247/262 [===========================>..] - ETA: 0s - loss: 1.6535e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.5766e-06
    146. 

  146. Epoch 6/10
    147. 

  147. 
  1/262 [..............................] - ETA: 0s - loss: 7.2101e-07
 35/262 [===>..........................] - ETA: 0s - loss: 6.2404e-07
 66/262 [======>.......................] - ETA: 0s - loss: 5.9852e-07
 97/262 [==========>...................] - ETA: 0s - loss: 4.9855e-07
131/262 [==============>...............] - ETA: 0s - loss: 1.6544e-06
158/262 [=================>............] - ETA: 0s - loss: 1.6590e-06
197/262 [=====================>........] - ETA: 0s - loss: 1.4270e-06
232/262 [=========================>....] - ETA: 0s - loss: 1.3490e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.2315e-06
    148. 

  148. Epoch 7/10
    149. 

  149. 
  1/262 [..............................] - ETA: 0s - loss: 1.5986e-07
 36/262 [===>..........................] - ETA: 0s - loss: 6.0553e-07
 67/262 [======>.......................] - ETA: 0s - loss: 4.7910e-07
100/262 [==========>...................] - ETA: 0s - loss: 4.1068e-07
129/262 [=============>................] - ETA: 0s - loss: 9.2309e-07
157/262 [================>.............] - ETA: 0s - loss: 1.0072e-06
185/262 [====================>.........] - ETA: 0s - loss: 9.1469e-07
211/262 [=======================>......] - ETA: 0s - loss: 1.1124e-06
243/262 [==========================>...] - ETA: 0s - loss: 1.0250e-06
262/262 [==============================] - 0s 2ms/step - loss: 9.8608e-07
    150. 

  150. Epoch 8/10
    151. 

  151. 
  1/262 [..............................] - ETA: 0s - loss: 4.9112e-07
 38/262 [===>..........................] - ETA: 0s - loss: 4.4334e-07
 71/262 [=======>......................] - ETA: 0s - loss: 1.1106e-06
102/262 [==========>...................] - ETA: 0s - loss: 1.3452e-06
136/262 [==============>...............] - ETA: 0s - loss: 1.0980e-06
161/262 [=================>............] - ETA: 0s - loss: 9.6811e-07
193/262 [=====================>........] - ETA: 0s - loss: 8.9616e-07
222/262 [========================>.....] - ETA: 0s - loss: 8.1733e-07
254/262 [============================>.] - ETA: 0s - loss: 8.3026e-07
262/262 [==============================] - 0s 2ms/step - loss: 8.1588e-07
    152. 

  152. Epoch 9/10
    153. 

  153. 
  1/262 [..............................] - ETA: 0s - loss: 8.7280e-08
 33/262 [==>...........................] - ETA: 0s - loss: 1.3421e-06
 60/262 [=====>........................] - ETA: 0s - loss: 9.1641e-07
 95/262 [=========>....................] - ETA: 0s - loss: 6.8303e-07
131/262 [==============>...............] - ETA: 0s - loss: 6.6815e-07
166/262 [==================>...........] - ETA: 0s - loss: 7.0912e-07
199/262 [=====================>........] - ETA: 0s - loss: 6.3463e-07
235/262 [=========================>....] - ETA: 0s - loss: 5.8460e-07
262/262 [==============================] - 0s 2ms/step - loss: 6.9841e-07
    154. 

  154. Epoch 10/10
    155. 

  155. 
  1/262 [..............................] - ETA: 0s - loss: 5.4241e-08
 37/262 [===>..........................] - ETA: 0s - loss: 3.5211e-07
 70/262 [=======>......................] - ETA: 0s - loss: 3.8196e-07
103/262 [==========>...................] - ETA: 0s - loss: 6.3231e-07
139/262 [==============>...............] - ETA: 0s - loss: 5.5006e-07
174/262 [==================>...........] - ETA: 0s - loss: 5.1074e-07
209/262 [======================>.......] - ETA: 0s - loss: 4.7375e-07
240/262 [==========================>...] - ETA: 0s - loss: 5.1527e-07
262/262 [==============================] - 0s 2ms/step - loss: 6.1474e-07
    156. 

  156. -> test with GAN.predict
    157. 

  157. GAN tn, fp: 654, 0
    158. 

  158. GAN fn, tp: 0, 10
    159. 

  159. GAN f1 score: 1.000
    160. 

  160. GAN cohens kappa score: 1.000
    161. 

  161. 

  162. -> test with 'LR'
    163. 

  163. LR tn, fp: 654, 0
    164. 

  164. LR fn, tp: 0, 10
    165. 

  165. LR f1 score: 1.000
    166. 

  166. LR cohens kappa score: 1.000
    167. 

  167. LR average precision score: 1.000
    168. 

  168. 

  169. -> test with 'RF'
    170. 

  170. RF tn, fp: 654, 0
    171. 

  171. RF fn, tp: 0, 10
    172. 

  172. RF f1 score: 1.000
    173. 

  173. RF cohens kappa score: 1.000
    174. 

  174. 

  175. -> test with 'GB'
    176. 

  176. GB tn, fp: 654, 0
    177. 

  177. GB fn, tp: 0, 10
    178. 

  178. GB f1 score: 1.000
    179. 

  179. GB cohens kappa score: 1.000
    180. 

  180. 

  181. -> test with 'KNN'
    182. 

  182. KNN tn, fp: 654, 0
    183. 

  183. KNN fn, tp: 0, 10
    184. 

  184. KNN f1 score: 1.000
    185. 

  185. KNN cohens kappa score: 1.000
    186. 

  186. 

  187. 

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

  189. -> Reset the GAN
    190. 

  190. -> Train generator for synthetic samples
    191. 

  191. -> create 2574 synthetic samples
    192. 

  192. -> retrain GAN for predict
    193. 

  193. Epoch 1/10
    194. 

  194. 
  1/262 [..............................] - ETA: 42s - loss: 3.5215e-07
 39/262 [===>..........................] - ETA: 0s - loss: 3.7700e-06 
 80/262 [========>.....................] - ETA: 0s - loss: 0.0598    
117/262 [============>.................] - ETA: 0s - loss: 0.0642
156/262 [================>.............] - ETA: 0s - loss: 0.0481
192/262 [====================>.........] - ETA: 0s - loss: 0.0391
233/262 [=========================>....] - ETA: 0s - loss: 0.0322
262/262 [==============================] - 1s 1ms/step - loss: 0.0288
    195. 

  195. Epoch 2/10
    196. 

  196. 
  1/262 [..............................] - ETA: 0s - loss: 3.0930e-06
 40/262 [===>..........................] - ETA: 0s - loss: 5.4399e-06
 78/262 [=======>......................] - ETA: 0s - loss: 5.3147e-06
114/262 [============>.................] - ETA: 0s - loss: 4.5875e-06
155/262 [================>.............] - ETA: 0s - loss: 4.0821e-06
192/262 [====================>.........] - ETA: 0s - loss: 3.9151e-06
232/262 [=========================>....] - ETA: 0s - loss: 3.6393e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.4592e-06
    197. 

  197. Epoch 3/10
    198. 

  198. 
  1/262 [..............................] - ETA: 0s - loss: 1.4887e-06
 41/262 [===>..........................] - ETA: 0s - loss: 2.3866e-06
 78/262 [=======>......................] - ETA: 0s - loss: 2.1803e-06
118/262 [============>.................] - ETA: 0s - loss: 2.1200e-06
154/262 [================>.............] - ETA: 0s - loss: 1.9102e-06
194/262 [=====================>........] - ETA: 0s - loss: 1.7842e-06
230/262 [=========================>....] - ETA: 0s - loss: 1.6552e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5979e-06
    199. 

  199. Epoch 4/10
    200. 

  200. 
  1/262 [..............................] - ETA: 0s - loss: 1.6980e-06
 39/262 [===>..........................] - ETA: 0s - loss: 9.0937e-07
 77/262 [=======>......................] - ETA: 0s - loss: 1.3218e-06
114/262 [============>.................] - ETA: 0s - loss: 1.3688e-06
152/262 [================>.............] - ETA: 0s - loss: 1.2479e-06
192/262 [====================>.........] - ETA: 0s - loss: 1.1981e-06
230/262 [=========================>....] - ETA: 0s - loss: 1.1135e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.0786e-06
    201. 

  201. Epoch 5/10
    202. 

  202. 
  1/262 [..............................] - ETA: 0s - loss: 5.7129e-07
 39/262 [===>..........................] - ETA: 0s - loss: 1.0676e-06
 71/262 [=======>......................] - ETA: 0s - loss: 8.8186e-07
104/262 [==========>...................] - ETA: 0s - loss: 8.2440e-07
132/262 [==============>...............] - ETA: 0s - loss: 7.9705e-07
159/262 [=================>............] - ETA: 0s - loss: 8.6838e-07
196/262 [=====================>........] - ETA: 0s - loss: 8.1476e-07
232/262 [=========================>....] - ETA: 0s - loss: 8.1273e-07
262/262 [==============================] - 0s 2ms/step - loss: 7.9651e-07
    203. 

  203. Epoch 6/10
    204. 

  204. 
  1/262 [..............................] - ETA: 0s - loss: 6.5678e-07
 36/262 [===>..........................] - ETA: 0s - loss: 6.7916e-07
 70/262 [=======>......................] - ETA: 0s - loss: 8.1722e-07
109/262 [===========>..................] - ETA: 0s - loss: 7.4100e-07
147/262 [===============>..............] - ETA: 0s - loss: 6.5595e-07
186/262 [====================>.........] - ETA: 0s - loss: 6.1366e-07
226/262 [========================>.....] - ETA: 0s - loss: 5.9110e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.5236e-07
    205. 

  205. Epoch 7/10
    206. 

  206. 
  1/262 [..............................] - ETA: 0s - loss: 1.6393e-07
 37/262 [===>..........................] - ETA: 0s - loss: 4.2313e-07
 75/262 [=======>......................] - ETA: 0s - loss: 4.3800e-07
110/262 [===========>..................] - ETA: 0s - loss: 3.6925e-07
146/262 [===============>..............] - ETA: 0s - loss: 3.6923e-07
185/262 [====================>.........] - ETA: 0s - loss: 3.5739e-07
223/262 [========================>.....] - ETA: 0s - loss: 3.6574e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.4944e-07
    207. 

  207. Epoch 8/10
    208. 

  208. 
  1/262 [..............................] - ETA: 0s - loss: 2.9316e-07
 38/262 [===>..........................] - ETA: 0s - loss: 1.9265e-07
 77/262 [=======>......................] - ETA: 0s - loss: 2.1943e-07
114/262 [============>.................] - ETA: 0s - loss: 2.2797e-07
153/262 [================>.............] - ETA: 0s - loss: 2.3157e-07
190/262 [====================>.........] - ETA: 0s - loss: 2.8556e-07
231/262 [=========================>....] - ETA: 0s - loss: 2.7068e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.5888e-07
    209. 

  209. Epoch 9/10
    210. 

  210. 
  1/262 [..............................] - ETA: 0s - loss: 6.8463e-08
 42/262 [===>..........................] - ETA: 0s - loss: 3.3283e-07
 78/262 [=======>......................] - ETA: 0s - loss: 2.9449e-07
116/262 [============>.................] - ETA: 0s - loss: 2.5128e-07
154/262 [================>.............] - ETA: 0s - loss: 2.1583e-07
193/262 [=====================>........] - ETA: 0s - loss: 2.1079e-07
232/262 [=========================>....] - ETA: 0s - loss: 2.1856e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.0945e-07
    211. 

  211. Epoch 10/10
    212. 

  212. 
  1/262 [..............................] - ETA: 0s - loss: 3.4588e-08
 39/262 [===>..........................] - ETA: 0s - loss: 2.6770e-07
 75/262 [=======>......................] - ETA: 0s - loss: 1.8062e-07
116/262 [============>.................] - ETA: 0s - loss: 1.7524e-07
157/262 [================>.............] - ETA: 0s - loss: 1.7492e-07
196/262 [=====================>........] - ETA: 0s - loss: 1.5786e-07
235/262 [=========================>....] - ETA: 0s - loss: 1.8196e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.7737e-07
    213. 

  213. -> test with GAN.predict
    214. 

  214. GAN tn, fp: 654, 0
    215. 

  215. GAN fn, tp: 0, 10
    216. 

  216. GAN f1 score: 1.000
    217. 

  217. GAN cohens kappa score: 1.000
    218. 

  218. 

  219. -> test with 'LR'
    220. 

  220. LR tn, fp: 654, 0
    221. 

  221. LR fn, tp: 0, 10
    222. 

  222. LR f1 score: 1.000
    223. 

  223. LR cohens kappa score: 1.000
    224. 

  224. LR average precision score: 1.000
    225. 

  225. 

  226. -> test with 'RF'
    227. 

  227. RF tn, fp: 654, 0
    228. 

  228. RF fn, tp: 0, 10
    229. 

  229. RF f1 score: 1.000
    230. 

  230. RF cohens kappa score: 1.000
    231. 

  231. 

  232. -> test with 'GB'
    233. 

  233. GB tn, fp: 654, 0
    234. 

  234. GB fn, tp: 0, 10
    235. 

  235. GB f1 score: 1.000
    236. 

  236. GB cohens kappa score: 1.000
    237. 

  237. 

  238. -> test with 'KNN'
    239. 

  239. KNN tn, fp: 652, 2
    240. 

  240. KNN fn, tp: 0, 10
    241. 

  241. KNN f1 score: 0.909
    242. 

  242. KNN cohens kappa score: 0.908
    243. 

  243. 

  244. 

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

  246. -> Reset the GAN
    247. 

  247. -> Train generator for synthetic samples
    248. 

  248. -> create 2576 synthetic samples
    249. 

  249. -> retrain GAN for predict
    250. 

  250. Epoch 1/10
    251. 

  251. 
  1/262 [..............................] - ETA: 41s - loss: 3.6105e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.5182     
 81/262 [========>.....................] - ETA: 0s - loss: 0.7686
117/262 [============>.................] - ETA: 0s - loss: 0.5347
157/262 [================>.............] - ETA: 0s - loss: 0.4006
197/262 [=====================>........] - ETA: 0s - loss: 0.3354
234/262 [=========================>....] - ETA: 0s - loss: 0.2824
262/262 [==============================] - 1s 1ms/step - loss: 0.2528
    252. 

  252. Epoch 2/10
    253. 

  253. 
  1/262 [..............................] - ETA: 0s - loss: 3.4677e-04
 38/262 [===>..........................] - ETA: 0s - loss: 1.2328e-04
 76/262 [=======>......................] - ETA: 0s - loss: 1.1150e-04
115/262 [============>.................] - ETA: 0s - loss: 7.9065e-05
153/262 [================>.............] - ETA: 0s - loss: 6.5861e-05
189/262 [====================>.........] - ETA: 0s - loss: 5.8102e-05
216/262 [=======================>......] - ETA: 0s - loss: 5.1340e-05
249/262 [===========================>..] - ETA: 0s - loss: 4.5959e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.3872e-05
    254. 

  254. Epoch 3/10
    255. 

  255. 
  1/262 [..............................] - ETA: 0s - loss: 1.4477e-06
 40/262 [===>..........................] - ETA: 0s - loss: 7.9145e-06
 78/262 [=======>......................] - ETA: 0s - loss: 1.0042e-05
112/262 [===========>..................] - ETA: 0s - loss: 1.0287e-05
148/262 [===============>..............] - ETA: 0s - loss: 9.0071e-06
182/262 [===================>..........] - ETA: 0s - loss: 9.8799e-06
214/262 [=======================>......] - ETA: 0s - loss: 9.1359e-06
253/262 [===========================>..] - ETA: 0s - loss: 8.7802e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.1583e-05
    256. 

  256. Epoch 4/10
    257. 

  257. 
  1/262 [..............................] - ETA: 0s - loss: 2.3614e-06
 39/262 [===>..........................] - ETA: 0s - loss: 1.2810e-05
 78/262 [=======>......................] - ETA: 0s - loss: 1.0511e-05
114/262 [============>.................] - ETA: 0s - loss: 1.0781e-05
154/262 [================>.............] - ETA: 0s - loss: 9.4071e-06
194/262 [=====================>........] - ETA: 0s - loss: 9.4438e-06
234/262 [=========================>....] - ETA: 0s - loss: 8.4589e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.8036e-06
    258. 

  258. Epoch 5/10
    259. 

  259. 
  1/262 [..............................] - ETA: 0s - loss: 1.9679e-07
 42/262 [===>..........................] - ETA: 0s - loss: 2.4536e-06
 81/262 [========>.....................] - ETA: 0s - loss: 8.3276e-06
119/262 [============>.................] - ETA: 0s - loss: 8.7736e-06
156/262 [================>.............] - ETA: 0s - loss: 8.7123e-06
191/262 [====================>.........] - ETA: 0s - loss: 7.9496e-06
230/262 [=========================>....] - ETA: 0s - loss: 7.0232e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.4069e-06
    260. 

  260. Epoch 6/10
    261. 

  261. 
  1/262 [..............................] - ETA: 0s - loss: 2.4719e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.2091e-05
 81/262 [========>.....................] - ETA: 0s - loss: 7.5363e-06
121/262 [============>.................] - ETA: 0s - loss: 5.6751e-06
159/262 [=================>............] - ETA: 0s - loss: 4.6915e-06
196/262 [=====================>........] - ETA: 0s - loss: 5.7209e-06
235/262 [=========================>....] - ETA: 0s - loss: 5.2176e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.3378e-06
    262. 

  262. Epoch 7/10
    263. 

  263. 
  1/262 [..............................] - ETA: 0s - loss: 3.6596e-07
 29/262 [==>...........................] - ETA: 0s - loss: 1.7101e-06
 58/262 [=====>........................] - ETA: 0s - loss: 6.3694e-06
 86/262 [========>.....................] - ETA: 0s - loss: 5.1156e-06
118/262 [============>.................] - ETA: 0s - loss: 4.4437e-06
146/262 [===============>..............] - ETA: 0s - loss: 4.7193e-06
177/262 [===================>..........] - ETA: 0s - loss: 4.2474e-06
206/262 [======================>.......] - ETA: 0s - loss: 3.8304e-06
244/262 [==========================>...] - ETA: 0s - loss: 4.4397e-06
262/262 [==============================] - 0s 2ms/step - loss: 4.4143e-06
    264. 

  264. Epoch 8/10
    265. 

  265. 
  1/262 [..............................] - ETA: 0s - loss: 2.2520e-06
 41/262 [===>..........................] - ETA: 0s - loss: 2.9856e-06
 80/262 [========>.....................] - ETA: 0s - loss: 2.3442e-06
116/262 [============>.................] - ETA: 0s - loss: 3.0154e-06
153/262 [================>.............] - ETA: 0s - loss: 2.7406e-06
185/262 [====================>.........] - ETA: 0s - loss: 3.8068e-06
215/262 [=======================>......] - ETA: 0s - loss: 3.7497e-06
250/262 [===========================>..] - ETA: 0s - loss: 4.1137e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.9793e-06
    266. 

  266. Epoch 9/10
    267. 

  267. 
  1/262 [..............................] - ETA: 0s - loss: 3.9646e-06
 41/262 [===>..........................] - ETA: 0s - loss: 2.0469e-06
 81/262 [========>.....................] - ETA: 0s - loss: 1.8479e-06
121/262 [============>.................] - ETA: 0s - loss: 2.6283e-06
161/262 [=================>............] - ETA: 0s - loss: 3.2549e-06
193/262 [=====================>........] - ETA: 0s - loss: 3.3014e-06
229/262 [=========================>....] - ETA: 0s - loss: 3.5790e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.4751e-06
    268. 

  268. Epoch 10/10
    269. 

  269. 
  1/262 [..............................] - ETA: 0s - loss: 3.3582e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.5180e-06
 80/262 [========>.....................] - ETA: 0s - loss: 1.6931e-06
121/262 [============>.................] - ETA: 0s - loss: 1.7466e-06
160/262 [=================>............] - ETA: 0s - loss: 3.3279e-06
196/262 [=====================>........] - ETA: 0s - loss: 3.4131e-06
233/262 [=========================>....] - ETA: 0s - loss: 3.1360e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.0538e-06
    270. 

  270. -> test with GAN.predict
    271. 

  271. GAN tn, fp: 651, 0
    272. 

  272. GAN fn, tp: 0, 9
    273. 

  273. GAN f1 score: 1.000
    274. 

  274. GAN cohens kappa score: 1.000
    275. 

  275. 

  276. -> test with 'LR'
    277. 

  277. LR tn, fp: 651, 0
    278. 

  278. LR fn, tp: 0, 9
    279. 

  279. LR f1 score: 1.000
    280. 

  280. LR cohens kappa score: 1.000
    281. 

  281. LR average precision score: 1.000
    282. 

  282. 

  283. -> test with 'RF'
    284. 

  284. RF tn, fp: 651, 0
    285. 

  285. RF fn, tp: 0, 9
    286. 

  286. RF f1 score: 1.000
    287. 

  287. RF cohens kappa score: 1.000
    288. 

  288. 

  289. -> test with 'GB'
    290. 

  290. GB tn, fp: 651, 0
    291. 

  291. GB fn, tp: 0, 9
    292. 

  292. GB f1 score: 1.000
    293. 

  293. GB cohens kappa score: 1.000
    294. 

  294. 

  295. -> test with 'KNN'
    296. 

  296. KNN tn, fp: 650, 1
    297. 

  297. KNN fn, tp: 0, 9
    298. 

  298. KNN f1 score: 0.947
    299. 

  299. KNN cohens kappa score: 0.947
    300. 

  300. 

  301. 

  302. ====== Step 2/5 =======
    303. 

  303. -> Shuffling data
    304. 

  304. -> Spliting data to slices
    305. 

  305. 

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

  307. -> Reset the GAN
    308. 

  308. -> Train generator for synthetic samples
    309. 

  309. -> create 2574 synthetic samples
    310. 

  310. -> retrain GAN for predict
    311. 

  311. Epoch 1/10
    312. 

  312. 
  1/262 [..............................] - ETA: 47s - loss: 5.1517e-08
 35/262 [===>..........................] - ETA: 0s - loss: 2.3247     
 70/262 [=======>......................] - ETA: 0s - loss: 1.1637
104/262 [==========>...................] - ETA: 0s - loss: 0.7836
139/262 [==============>...............] - ETA: 0s - loss: 0.5863
171/262 [==================>...........] - ETA: 0s - loss: 0.4766
202/262 [======================>.......] - ETA: 0s - loss: 0.4035
236/262 [==========================>...] - ETA: 0s - loss: 0.3453
262/262 [==============================] - 1s 2ms/step - loss: 0.3119
    313. 

  313. Epoch 2/10
    314. 

  314. 
  1/262 [..............................] - ETA: 0s - loss: 4.0235e-06
 39/262 [===>..........................] - ETA: 0s - loss: 9.3186e-06
 75/262 [=======>......................] - ETA: 0s - loss: 4.5965e-04
110/262 [===========>..................] - ETA: 0s - loss: 4.1354e-04
144/262 [===============>..............] - ETA: 0s - loss: 3.1715e-04
177/262 [===================>..........] - ETA: 0s - loss: 2.5972e-04
211/262 [=======================>......] - ETA: 0s - loss: 2.1921e-04
244/262 [==========================>...] - ETA: 0s - loss: 2.1894e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.0759e-04
    315. 

  315. Epoch 3/10
    316. 

  316. 
  1/262 [..............................] - ETA: 0s - loss: 1.1997e-05
 39/262 [===>..........................] - ETA: 0s - loss: 3.0524e-05
 73/262 [=======>......................] - ETA: 0s - loss: 2.1301e-05
109/262 [===========>..................] - ETA: 0s - loss: 1.6778e-05
145/262 [===============>..............] - ETA: 0s - loss: 1.4656e-05
180/262 [===================>..........] - ETA: 0s - loss: 1.3026e-05
212/262 [=======================>......] - ETA: 0s - loss: 1.2560e-05
248/262 [===========================>..] - ETA: 0s - loss: 1.3479e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.3073e-05
    317. 

  317. Epoch 4/10
    318. 

  318. 
  1/262 [..............................] - ETA: 0s - loss: 8.3823e-06
 38/262 [===>..........................] - ETA: 0s - loss: 4.0058e-06
 71/262 [=======>......................] - ETA: 0s - loss: 4.3307e-06
105/262 [===========>..................] - ETA: 0s - loss: 6.4901e-06
138/262 [==============>...............] - ETA: 0s - loss: 1.2369e-05
169/262 [==================>...........] - ETA: 0s - loss: 1.1163e-05
199/262 [=====================>........] - ETA: 0s - loss: 1.0973e-05
232/262 [=========================>....] - ETA: 0s - loss: 1.0018e-05
262/262 [==============================] - 0s 2ms/step - loss: 9.8037e-06
    319. 

  319. Epoch 5/10
    320. 

  320. 
  1/262 [..............................] - ETA: 0s - loss: 1.6281e-06
 39/262 [===>..........................] - ETA: 0s - loss: 3.3112e-06
 70/262 [=======>......................] - ETA: 0s - loss: 3.3637e-06
103/262 [==========>...................] - ETA: 0s - loss: 5.6945e-06
136/262 [==============>...............] - ETA: 0s - loss: 9.6281e-06
171/262 [==================>...........] - ETA: 0s - loss: 8.6990e-06
206/262 [======================>.......] - ETA: 0s - loss: 8.0887e-06
242/262 [==========================>...] - ETA: 0s - loss: 7.5407e-06
262/262 [==============================] - 0s 1ms/step - loss: 8.1754e-06
    321. 

  321. Epoch 6/10
    322. 

  322. 
  1/262 [..............................] - ETA: 0s - loss: 1.7280e-06
 37/262 [===>..........................] - ETA: 0s - loss: 8.7526e-06
 71/262 [=======>......................] - ETA: 0s - loss: 6.0690e-06
104/262 [==========>...................] - ETA: 0s - loss: 4.9160e-06
139/262 [==============>...............] - ETA: 0s - loss: 4.4610e-06
175/262 [===================>..........] - ETA: 0s - loss: 8.9657e-06
209/262 [======================>.......] - ETA: 0s - loss: 9.1324e-06
243/262 [==========================>...] - ETA: 0s - loss: 8.6364e-06
262/262 [==============================] - 0s 1ms/step - loss: 8.2662e-06
    323. 

  323. Epoch 7/10
    324. 

  324. 
  1/262 [..............................] - ETA: 0s - loss: 1.5832e-06
 38/262 [===>..........................] - ETA: 0s - loss: 3.4578e-06
 73/262 [=======>......................] - ETA: 0s - loss: 3.1259e-06
105/262 [===========>..................] - ETA: 0s - loss: 8.7171e-06
139/262 [==============>...............] - ETA: 0s - loss: 8.8595e-06
174/262 [==================>...........] - ETA: 0s - loss: 7.9952e-06
208/262 [======================>.......] - ETA: 0s - loss: 7.2920e-06
244/262 [==========================>...] - ETA: 0s - loss: 6.5376e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.9344e-06
    325. 

  325. Epoch 8/10
    326. 

  326. 
  1/262 [..............................] - ETA: 0s - loss: 1.5819e-06
 35/262 [===>..........................] - ETA: 0s - loss: 1.9577e-05
 69/262 [======>.......................] - ETA: 0s - loss: 1.4241e-05
101/262 [==========>...................] - ETA: 0s - loss: 1.1177e-05
137/262 [==============>...............] - ETA: 0s - loss: 9.0581e-06
171/262 [==================>...........] - ETA: 0s - loss: 7.8174e-06
207/262 [======================>.......] - ETA: 0s - loss: 6.9278e-06
242/262 [==========================>...] - ETA: 0s - loss: 6.2455e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.9135e-06
    327. 

  327. Epoch 9/10
    328. 

  328. 
  1/262 [..............................] - ETA: 0s - loss: 1.0688e-06
 35/262 [===>..........................] - ETA: 0s - loss: 5.1988e-06
 69/262 [======>.......................] - ETA: 0s - loss: 3.9154e-06
103/262 [==========>...................] - ETA: 0s - loss: 3.1711e-06
129/262 [=============>................] - ETA: 0s - loss: 9.7043e-06
161/262 [=================>............] - ETA: 0s - loss: 9.2815e-06
196/262 [=====================>........] - ETA: 0s - loss: 8.5456e-06
231/262 [=========================>....] - ETA: 0s - loss: 7.7977e-06
262/262 [==============================] - 0s 2ms/step - loss: 7.6801e-06
    329. 

  329. Epoch 10/10
    330. 

  330. 
  1/262 [..............................] - ETA: 0s - loss: 1.9948e-06
 31/262 [==>...........................] - ETA: 0s - loss: 2.4809e-06
 59/262 [=====>........................] - ETA: 0s - loss: 2.5246e-06
 85/262 [========>.....................] - ETA: 0s - loss: 7.9619e-06
119/262 [============>.................] - ETA: 0s - loss: 7.8166e-06
151/262 [================>.............] - ETA: 0s - loss: 7.3193e-06
187/262 [====================>.........] - ETA: 0s - loss: 6.6514e-06
226/262 [========================>.....] - ETA: 0s - loss: 5.9414e-06
260/262 [============================>.] - ETA: 0s - loss: 5.4587e-06
262/262 [==============================] - 0s 2ms/step - loss: 5.4401e-06
    331. 

  331. -> test with GAN.predict
    332. 

  332. GAN tn, fp: 654, 0
    333. 

  333. GAN fn, tp: 0, 10
    334. 

  334. GAN f1 score: 1.000
    335. 

  335. GAN cohens kappa score: 1.000
    336. 

  336. 

  337. -> test with 'LR'
    338. 

  338. LR tn, fp: 654, 0
    339. 

  339. LR fn, tp: 0, 10
    340. 

  340. LR f1 score: 1.000
    341. 

  341. LR cohens kappa score: 1.000
    342. 

  342. LR average precision score: 1.000
    343. 

  343. 

  344. -> test with 'RF'
    345. 

  345. RF tn, fp: 654, 0
    346. 

  346. RF fn, tp: 0, 10
    347. 

  347. RF f1 score: 1.000
    348. 

  348. RF cohens kappa score: 1.000
    349. 

  349. 

  350. -> test with 'GB'
    351. 

  351. GB tn, fp: 654, 0
    352. 

  352. GB fn, tp: 0, 10
    353. 

  353. GB f1 score: 1.000
    354. 

  354. GB cohens kappa score: 1.000
    355. 

  355. 

  356. -> test with 'KNN'
    357. 

  357. KNN tn, fp: 653, 1
    358. 

  358. KNN fn, tp: 0, 10
    359. 

  359. KNN f1 score: 0.952
    360. 

  360. KNN cohens kappa score: 0.952
    361. 

  361. 

  362. 

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

  364. -> Reset the GAN
    365. 

  365. -> Train generator for synthetic samples
    366. 

  366. -> create 2574 synthetic samples
    367. 

  367. -> retrain GAN for predict
    368. 

  368. Epoch 1/10
    369. 

  369. 
  1/262 [..............................] - ETA: 46s - loss: 7.4631e-08
 36/262 [===>..........................] - ETA: 0s - loss: 1.0411     
 74/262 [=======>......................] - ETA: 0s - loss: 0.8254
113/262 [===========>..................] - ETA: 0s - loss: 0.5406
152/262 [================>.............] - ETA: 0s - loss: 0.4019
192/262 [====================>.........] - ETA: 0s - loss: 0.3182
231/262 [=========================>....] - ETA: 0s - loss: 0.2645
262/262 [==============================] - 1s 1ms/step - loss: 0.2338
    370. 

  370. Epoch 2/10
    371. 

  371. 
  1/262 [..............................] - ETA: 0s - loss: 2.0695e-05
 39/262 [===>..........................] - ETA: 0s - loss: 1.7991e-05
 79/262 [========>.....................] - ETA: 0s - loss: 1.9102e-05
119/262 [============>.................] - ETA: 0s - loss: 2.0104e-05
157/262 [================>.............] - ETA: 0s - loss: 1.9916e-05
196/262 [=====================>........] - ETA: 0s - loss: 2.3039e-05
236/262 [==========================>...] - ETA: 0s - loss: 2.0784e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.0729e-05
    372. 

  372. Epoch 3/10
    373. 

  373. 
  1/262 [..............................] - ETA: 0s - loss: 3.5090e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.1986e-05
 81/262 [========>.....................] - ETA: 0s - loss: 1.3641e-05
120/262 [============>.................] - ETA: 0s - loss: 1.1989e-05
160/262 [=================>............] - ETA: 0s - loss: 1.3525e-05
200/262 [=====================>........] - ETA: 0s - loss: 1.2350e-05
240/262 [==========================>...] - ETA: 0s - loss: 1.1534e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.2139e-05
    374. 

  374. Epoch 4/10
    375. 

  375. 
  1/262 [..............................] - ETA: 0s - loss: 3.5706e-06
 40/262 [===>..........................] - ETA: 0s - loss: 6.9565e-06
 80/262 [========>.....................] - ETA: 0s - loss: 1.0817e-05
119/262 [============>.................] - ETA: 0s - loss: 1.1975e-05
151/262 [================>.............] - ETA: 0s - loss: 1.0850e-05
186/262 [====================>.........] - ETA: 0s - loss: 1.0212e-05
227/262 [========================>.....] - ETA: 0s - loss: 9.2206e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.2516e-06
    376. 

  376. Epoch 5/10
    377. 

  377. 
  1/262 [..............................] - ETA: 0s - loss: 3.7452e-06
 41/262 [===>..........................] - ETA: 0s - loss: 3.6897e-06
 80/262 [========>.....................] - ETA: 0s - loss: 6.6020e-06
118/262 [============>.................] - ETA: 0s - loss: 8.3582e-06
156/262 [================>.............] - ETA: 0s - loss: 7.8106e-06
193/262 [=====================>........] - ETA: 0s - loss: 6.8073e-06
233/262 [=========================>....] - ETA: 0s - loss: 6.7018e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.0812e-06
    378. 

  378. Epoch 6/10
    379. 

  379. 
  1/262 [..............................] - ETA: 0s - loss: 7.7307e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.2352e-05
 75/262 [=======>......................] - ETA: 0s - loss: 1.0323e-05
109/262 [===========>..................] - ETA: 0s - loss: 8.1120e-06
142/262 [===============>..............] - ETA: 0s - loss: 6.8517e-06
181/262 [===================>..........] - ETA: 0s - loss: 6.9181e-06
221/262 [========================>.....] - ETA: 0s - loss: 6.2076e-06
259/262 [============================>.] - ETA: 0s - loss: 5.9537e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.9100e-06
    380. 

  380. Epoch 7/10
    381. 

  381. 
  1/262 [..............................] - ETA: 0s - loss: 2.1873e-06
 41/262 [===>..........................] - ETA: 0s - loss: 3.2705e-06
 80/262 [========>.....................] - ETA: 0s - loss: 3.4467e-06
119/262 [============>.................] - ETA: 0s - loss: 3.0501e-06
158/262 [=================>............] - ETA: 0s - loss: 2.8317e-06
198/262 [=====================>........] - ETA: 0s - loss: 3.7331e-06
235/262 [=========================>....] - ETA: 0s - loss: 4.3852e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.9194e-06
    382. 

  382. Epoch 8/10
    383. 

  383. 
  1/262 [..............................] - ETA: 0s - loss: 1.6904e-06
 41/262 [===>..........................] - ETA: 0s - loss: 4.8957e-06
 81/262 [========>.....................] - ETA: 0s - loss: 5.4816e-06
119/262 [============>.................] - ETA: 0s - loss: 5.2710e-06
159/262 [=================>............] - ETA: 0s - loss: 4.4830e-06
199/262 [=====================>........] - ETA: 0s - loss: 4.3815e-06
238/262 [==========================>...] - ETA: 0s - loss: 3.8707e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.1449e-06
    384. 

  384. Epoch 9/10
    385. 

  385. 
  1/262 [..............................] - ETA: 0s - loss: 2.2009e-06
 41/262 [===>..........................] - ETA: 0s - loss: 2.3105e-06
 81/262 [========>.....................] - ETA: 0s - loss: 5.4255e-06
121/262 [============>.................] - ETA: 0s - loss: 4.7985e-06
161/262 [=================>............] - ETA: 0s - loss: 4.2655e-06
201/262 [======================>.......] - ETA: 0s - loss: 4.0304e-06
241/262 [==========================>...] - ETA: 0s - loss: 3.5887e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.4942e-06
    386. 

  386. Epoch 10/10
    387. 

  387. 
  1/262 [..............................] - ETA: 0s - loss: 1.3593e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.6619e-06
 78/262 [=======>......................] - ETA: 0s - loss: 3.1869e-06
117/262 [============>.................] - ETA: 0s - loss: 3.2141e-06
157/262 [================>.............] - ETA: 0s - loss: 2.9052e-06
196/262 [=====================>........] - ETA: 0s - loss: 3.0199e-06
235/262 [=========================>....] - ETA: 0s - loss: 2.6855e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.9743e-06
    388. 

  388. -> test with GAN.predict
    389. 

  389. GAN tn, fp: 654, 0
    390. 

  390. GAN fn, tp: 0, 10
    391. 

  391. GAN f1 score: 1.000
    392. 

  392. GAN cohens kappa score: 1.000
    393. 

  393. 

  394. -> test with 'LR'
    395. 

  395. LR tn, fp: 654, 0
    396. 

  396. LR fn, tp: 0, 10
    397. 

  397. LR f1 score: 1.000
    398. 

  398. LR cohens kappa score: 1.000
    399. 

  399. LR average precision score: 1.000
    400. 

  400. 

  401. -> test with 'RF'
    402. 

  402. RF tn, fp: 654, 0
    403. 

  403. RF fn, tp: 0, 10
    404. 

  404. RF f1 score: 1.000
    405. 

  405. RF cohens kappa score: 1.000
    406. 

  406. 

  407. -> test with 'GB'
    408. 

  408. GB tn, fp: 654, 0
    409. 

  409. GB fn, tp: 0, 10
    410. 

  410. GB f1 score: 1.000
    411. 

  411. GB cohens kappa score: 1.000
    412. 

  412. 

  413. -> test with 'KNN'
    414. 

  414. KNN tn, fp: 654, 0
    415. 

  415. KNN fn, tp: 0, 10
    416. 

  416. KNN f1 score: 1.000
    417. 

  417. KNN cohens kappa score: 1.000
    418. 

  418. 

  419. 

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

  421. -> Reset the GAN
    422. 

  422. -> Train generator for synthetic samples
    423. 

  423. -> create 2574 synthetic samples
    424. 

  424. -> retrain GAN for predict
    425. 

  425. Epoch 1/10
    426. 

  426. 
  1/262 [..............................] - ETA: 43s - loss: 1.6991e-08
 41/262 [===>..........................] - ETA: 0s - loss: 0.0158     
 81/262 [========>.....................] - ETA: 0s - loss: 0.0911
120/262 [============>.................] - ETA: 0s - loss: 0.0615
159/262 [=================>............] - ETA: 0s - loss: 0.0464
197/262 [=====================>........] - ETA: 0s - loss: 0.0375
236/262 [==========================>...] - ETA: 0s - loss: 0.0313
262/262 [==============================] - 1s 1ms/step - loss: 0.0283
    427. 

  427. Epoch 2/10
    428. 

  428. 
  1/262 [..............................] - ETA: 0s - loss: 2.6938e-06
 40/262 [===>..........................] - ETA: 0s - loss: 4.7913e-06
 78/262 [=======>......................] - ETA: 0s - loss: 6.7993e-06
115/262 [============>.................] - ETA: 0s - loss: 5.5401e-06
153/262 [================>.............] - ETA: 0s - loss: 4.7486e-06
192/262 [====================>.........] - ETA: 0s - loss: 1.1228e-05
231/262 [=========================>....] - ETA: 0s - loss: 1.0572e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.8877e-06
    429. 

  429. Epoch 3/10
    430. 

  430. 
  1/262 [..............................] - ETA: 0s - loss: 3.6215e-06
 40/262 [===>..........................] - ETA: 0s - loss: 1.0210e-05
 75/262 [=======>......................] - ETA: 0s - loss: 6.5281e-06
108/262 [===========>..................] - ETA: 0s - loss: 5.0240e-06
140/262 [===============>..............] - ETA: 0s - loss: 4.2328e-06
174/262 [==================>...........] - ETA: 0s - loss: 3.7847e-06
213/262 [=======================>......] - ETA: 0s - loss: 3.6728e-06
250/262 [===========================>..] - ETA: 0s - loss: 3.8382e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.0264e-06
    431. 

  431. Epoch 4/10
    432. 

  432. 
  1/262 [..............................] - ETA: 0s - loss: 1.1537e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.6083e-06
 77/262 [=======>......................] - ETA: 0s - loss: 1.7749e-06
115/262 [============>.................] - ETA: 0s - loss: 1.7000e-06
154/262 [================>.............] - ETA: 0s - loss: 3.9165e-06
192/262 [====================>.........] - ETA: 0s - loss: 3.6609e-06
230/262 [=========================>....] - ETA: 0s - loss: 3.6293e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.6199e-06
    433. 

  433. Epoch 5/10
    434. 

  434. 
  1/262 [..............................] - ETA: 0s - loss: 3.1843e-07
 42/262 [===>..........................] - ETA: 0s - loss: 1.0444e-06
 80/262 [========>.....................] - ETA: 0s - loss: 4.3717e-06
118/262 [============>.................] - ETA: 0s - loss: 3.6320e-06
156/262 [================>.............] - ETA: 0s - loss: 3.1945e-06
193/262 [=====================>........] - ETA: 0s - loss: 3.2455e-06
230/262 [=========================>....] - ETA: 0s - loss: 2.9171e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.6895e-06
    435. 

  435. Epoch 6/10
    436. 

  436. 
  1/262 [..............................] - ETA: 0s - loss: 3.9544e-07
 40/262 [===>..........................] - ETA: 0s - loss: 6.8066e-07
 79/262 [========>.....................] - ETA: 0s - loss: 7.3996e-07
118/262 [============>.................] - ETA: 0s - loss: 1.1824e-06
158/262 [=================>............] - ETA: 0s - loss: 1.0894e-06
198/262 [=====================>........] - ETA: 0s - loss: 9.6573e-07
238/262 [==========================>...] - ETA: 0s - loss: 2.1146e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.1782e-06
    437. 

  437. Epoch 7/10
    438. 

  438. 
  1/262 [..............................] - ETA: 0s - loss: 4.6426e-06
 39/262 [===>..........................] - ETA: 0s - loss: 1.5359e-06
 78/262 [=======>......................] - ETA: 0s - loss: 1.4316e-06
117/262 [============>.................] - ETA: 0s - loss: 1.4878e-06
155/262 [================>.............] - ETA: 0s - loss: 1.4641e-06
193/262 [=====================>........] - ETA: 0s - loss: 1.9438e-06
233/262 [=========================>....] - ETA: 0s - loss: 1.7550e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.6573e-06
    439. 

  439. Epoch 8/10
    440. 

  440. 
  1/262 [..............................] - ETA: 0s - loss: 1.8616e-05
 39/262 [===>..........................] - ETA: 0s - loss: 1.2865e-06
 78/262 [=======>......................] - ETA: 0s - loss: 1.3374e-06
117/262 [============>.................] - ETA: 0s - loss: 1.1012e-06
157/262 [================>.............] - ETA: 0s - loss: 9.1726e-07
196/262 [=====================>........] - ETA: 0s - loss: 1.5379e-06
234/262 [=========================>....] - ETA: 0s - loss: 1.5452e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.4488e-06
    441. 

  441. Epoch 9/10
    442. 

  442. 
  1/262 [..............................] - ETA: 0s - loss: 2.6266e-07
 39/262 [===>..........................] - ETA: 0s - loss: 6.6288e-07
 76/262 [=======>......................] - ETA: 0s - loss: 5.7225e-07
110/262 [===========>..................] - ETA: 0s - loss: 6.0896e-07
139/262 [==============>...............] - ETA: 0s - loss: 6.3451e-07
168/262 [==================>...........] - ETA: 0s - loss: 7.4747e-07
202/262 [======================>.......] - ETA: 0s - loss: 7.0324e-07
231/262 [=========================>....] - ETA: 0s - loss: 6.6434e-07
262/262 [==============================] - ETA: 0s - loss: 1.1707e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.1707e-06
    443. 

  443. Epoch 10/10
    444. 

  444. 
  1/262 [..............................] - ETA: 0s - loss: 2.4344e-07
 34/262 [==>...........................] - ETA: 0s - loss: 5.9017e-07
 63/262 [======>.......................] - ETA: 0s - loss: 6.2788e-07
 86/262 [========>.....................] - ETA: 0s - loss: 7.5826e-07
115/262 [============>.................] - ETA: 0s - loss: 7.3792e-07
153/262 [================>.............] - ETA: 0s - loss: 1.2872e-06
182/262 [===================>..........] - ETA: 0s - loss: 1.2148e-06
213/262 [=======================>......] - ETA: 0s - loss: 1.1593e-06
233/262 [=========================>....] - ETA: 0s - loss: 1.0986e-06
257/262 [============================>.] - ETA: 0s - loss: 1.0351e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.0229e-06
    445. 

  445. -> test with GAN.predict
    446. 

  446. GAN tn, fp: 654, 0
    447. 

  447. GAN fn, tp: 1, 9
    448. 

  448. GAN f1 score: 0.947
    449. 

  449. GAN cohens kappa score: 0.947
    450. 

  450. 

  451. -> test with 'LR'
    452. 

  452. LR tn, fp: 654, 0
    453. 

  453. LR fn, tp: 0, 10
    454. 

  454. LR f1 score: 1.000
    455. 

  455. LR cohens kappa score: 1.000
    456. 

  456. LR average precision score: 1.000
    457. 

  457. 

  458. -> test with 'RF'
    459. 

  459. RF tn, fp: 654, 0
    460. 

  460. RF fn, tp: 0, 10
    461. 

  461. RF f1 score: 1.000
    462. 

  462. RF cohens kappa score: 1.000
    463. 

  463. 

  464. -> test with 'GB'
    465. 

  465. GB tn, fp: 654, 0
    466. 

  466. GB fn, tp: 0, 10
    467. 

  467. GB f1 score: 1.000
    468. 

  468. GB cohens kappa score: 1.000
    469. 

  469. 

  470. -> test with 'KNN'
    471. 

  471. KNN tn, fp: 652, 2
    472. 

  472. KNN fn, tp: 1, 9
    473. 

  473. KNN f1 score: 0.857
    474. 

  474. KNN cohens kappa score: 0.855
    475. 

  475. 

  476. 

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

  478. -> Reset the GAN
    479. 

  479. -> Train generator for synthetic samples
    480. 

  480. -> create 2574 synthetic samples
    481. 

  481. -> retrain GAN for predict
    482. 

  482. Epoch 1/10
    483. 

  483. 
  1/262 [..............................] - ETA: 50s - loss: 7.7550e-07
 37/262 [===>..........................] - ETA: 0s - loss: 2.6614     
 74/262 [=======>......................] - ETA: 0s - loss: 1.3503
110/262 [===========>..................] - ETA: 0s - loss: 0.9087
145/262 [===============>..............] - ETA: 0s - loss: 0.6896
180/262 [===================>..........] - ETA: 0s - loss: 0.5555
215/262 [=======================>......] - ETA: 0s - loss: 0.4651
248/262 [===========================>..] - ETA: 0s - loss: 0.4032
262/262 [==============================] - 1s 1ms/step - loss: 0.3827
    484. 

  484. Epoch 2/10
    485. 

  485. 
  1/262 [..............................] - ETA: 0s - loss: 4.1951e-06
 34/262 [==>...........................] - ETA: 0s - loss: 2.6888e-05
 68/262 [======>.......................] - ETA: 0s - loss: 2.4325e-05
104/262 [==========>...................] - ETA: 0s - loss: 2.6646e-05
139/262 [==============>...............] - ETA: 0s - loss: 2.2499e-05
175/262 [===================>..........] - ETA: 0s - loss: 2.1090e-05
212/262 [=======================>......] - ETA: 0s - loss: 1.9994e-05
247/262 [===========================>..] - ETA: 0s - loss: 1.9786e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.9217e-05
    486. 

  486. Epoch 3/10
    487. 

  487. 
  1/262 [..............................] - ETA: 0s - loss: 2.9647e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.2540e-05
 74/262 [=======>......................] - ETA: 0s - loss: 1.1255e-05
108/262 [===========>..................] - ETA: 0s - loss: 1.3069e-05
145/262 [===============>..............] - ETA: 0s - loss: 1.3246e-05
180/262 [===================>..........] - ETA: 0s - loss: 1.2377e-05
216/262 [=======================>......] - ETA: 0s - loss: 1.1310e-05
252/262 [===========================>..] - ETA: 0s - loss: 1.2713e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.2466e-05
    488. 

  488. Epoch 4/10
    489. 

  489. 
  1/262 [..............................] - ETA: 0s - loss: 2.7527e-06
 37/262 [===>..........................] - ETA: 0s - loss: 1.4134e-05
 73/262 [=======>......................] - ETA: 0s - loss: 1.1268e-05
108/262 [===========>..................] - ETA: 0s - loss: 1.0332e-05
143/262 [===============>..............] - ETA: 0s - loss: 9.5261e-06
179/262 [===================>..........] - ETA: 0s - loss: 1.1262e-05
215/262 [=======================>......] - ETA: 0s - loss: 9.9962e-06
249/262 [===========================>..] - ETA: 0s - loss: 9.7486e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.4705e-06
    490. 

  490. Epoch 5/10
    491. 

  491. 
  1/262 [..............................] - ETA: 0s - loss: 1.5377e-06
 35/262 [===>..........................] - ETA: 0s - loss: 4.8542e-06
 72/262 [=======>......................] - ETA: 0s - loss: 5.6638e-06
103/262 [==========>...................] - ETA: 0s - loss: 7.7179e-06
135/262 [==============>...............] - ETA: 0s - loss: 7.4048e-06
168/262 [==================>...........] - ETA: 0s - loss: 6.9079e-06
205/262 [======================>.......] - ETA: 0s - loss: 8.0895e-06
242/262 [==========================>...] - ETA: 0s - loss: 7.7678e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.7391e-06
    492. 

  492. Epoch 6/10
    493. 

  493. 
  1/262 [..............................] - ETA: 0s - loss: 4.6201e-06
 37/262 [===>..........................] - ETA: 0s - loss: 3.4168e-06
 73/262 [=======>......................] - ETA: 0s - loss: 4.1464e-06
106/262 [===========>..................] - ETA: 0s - loss: 4.0685e-06
137/262 [==============>...............] - ETA: 0s - loss: 4.4689e-06
172/262 [==================>...........] - ETA: 0s - loss: 4.5433e-06
207/262 [======================>.......] - ETA: 0s - loss: 6.8935e-06
243/262 [==========================>...] - ETA: 0s - loss: 6.7789e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.5851e-06
    494. 

  494. Epoch 7/10
    495. 

  495. 
  1/262 [..............................] - ETA: 0s - loss: 1.7578e-06
 34/262 [==>...........................] - ETA: 0s - loss: 4.0762e-06
 69/262 [======>.......................] - ETA: 0s - loss: 4.4822e-06
104/262 [==========>...................] - ETA: 0s - loss: 3.9363e-06
139/262 [==============>...............] - ETA: 0s - loss: 3.8317e-06
173/262 [==================>...........] - ETA: 0s - loss: 6.2709e-06
208/262 [======================>.......] - ETA: 0s - loss: 5.7234e-06
244/262 [==========================>...] - ETA: 0s - loss: 5.5393e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.5708e-06
    496. 

  496. Epoch 8/10
    497. 

  497. 
  1/262 [..............................] - ETA: 0s - loss: 2.1490e-06
 38/262 [===>..........................] - ETA: 0s - loss: 4.6588e-06
 74/262 [=======>......................] - ETA: 0s - loss: 4.7120e-06
113/262 [===========>..................] - ETA: 0s - loss: 4.4854e-06
149/262 [================>.............] - ETA: 0s - loss: 6.1171e-06
186/262 [====================>.........] - ETA: 0s - loss: 5.5065e-06
223/262 [========================>.....] - ETA: 0s - loss: 5.2257e-06
260/262 [============================>.] - ETA: 0s - loss: 4.8298e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.8129e-06
    498. 

  498. Epoch 9/10
    499. 

  499. 
  1/262 [..............................] - ETA: 0s - loss: 5.4553e-06
 38/262 [===>..........................] - ETA: 0s - loss: 2.2652e-06
 74/262 [=======>......................] - ETA: 0s - loss: 6.7125e-06
109/262 [===========>..................] - ETA: 0s - loss: 5.9309e-06
146/262 [===============>..............] - ETA: 0s - loss: 5.4091e-06
182/262 [===================>..........] - ETA: 0s - loss: 4.7760e-06
219/262 [========================>.....] - ETA: 0s - loss: 4.4384e-06
255/262 [============================>.] - ETA: 0s - loss: 4.1120e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.0722e-06
    500. 

  500. Epoch 10/10
    501. 

  501. 
  1/262 [..............................] - ETA: 0s - loss: 1.0917e-06
 38/262 [===>..........................] - ETA: 0s - loss: 3.6656e-06
 75/262 [=======>......................] - ETA: 0s - loss: 2.5908e-06
112/262 [===========>..................] - ETA: 0s - loss: 2.3154e-06
149/262 [================>.............] - ETA: 0s - loss: 2.3676e-06
184/262 [====================>.........] - ETA: 0s - loss: 2.6496e-06
220/262 [========================>.....] - ETA: 0s - loss: 2.5425e-06
256/262 [============================>.] - ETA: 0s - loss: 2.3743e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.5942e-06
    502. 

  502. -> test with GAN.predict
    503. 

  503. GAN tn, fp: 654, 0
    504. 

  504. GAN fn, tp: 0, 10
    505. 

  505. GAN f1 score: 1.000
    506. 

  506. GAN cohens kappa score: 1.000
    507. 

  507. 

  508. -> test with 'LR'
    509. 

  509. LR tn, fp: 654, 0
    510. 

  510. LR fn, tp: 0, 10
    511. 

  511. LR f1 score: 1.000
    512. 

  512. LR cohens kappa score: 1.000
    513. 

  513. LR average precision score: 1.000
    514. 

  514. 

  515. -> test with 'RF'
    516. 

  516. RF tn, fp: 654, 0
    517. 

  517. RF fn, tp: 0, 10
    518. 

  518. RF f1 score: 1.000
    519. 

  519. RF cohens kappa score: 1.000
    520. 

  520. 

  521. -> test with 'GB'
    522. 

  522. GB tn, fp: 654, 0
    523. 

  523. GB fn, tp: 0, 10
    524. 

  524. GB f1 score: 1.000
    525. 

  525. GB cohens kappa score: 1.000
    526. 

  526. 

  527. -> test with 'KNN'
    528. 

  528. KNN tn, fp: 654, 0
    529. 

  529. KNN fn, tp: 0, 10
    530. 

  530. KNN f1 score: 1.000
    531. 

  531. KNN cohens kappa score: 1.000
    532. 

  532. 

  533. 

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

  535. -> Reset the GAN
    536. 

  536. -> Train generator for synthetic samples
    537. 

  537. -> create 2576 synthetic samples
    538. 

  538. -> retrain GAN for predict
    539. 

  539. Epoch 1/10
    540. 

  540. 
  1/262 [..............................] - ETA: 47s - loss: 1.6407e-07
 38/262 [===>..........................] - ETA: 0s - loss: 0.5396     
 71/262 [=======>......................] - ETA: 0s - loss: 0.2895
102/262 [==========>...................] - ETA: 0s - loss: 0.2016
140/262 [===============>..............] - ETA: 0s - loss: 0.1469
179/262 [===================>..........] - ETA: 0s - loss: 0.1149
218/262 [=======================>......] - ETA: 0s - loss: 0.0943
257/262 [============================>.] - ETA: 0s - loss: 0.0800
262/262 [==============================] - 1s 1ms/step - loss: 0.0786
    541. 

  541. Epoch 2/10
    542. 

  542. 
  1/262 [..............................] - ETA: 0s - loss: 4.0858e-06
 41/262 [===>..........................] - ETA: 0s - loss: 7.4137e-06
 81/262 [========>.....................] - ETA: 0s - loss: 1.1270e-05
121/262 [============>.................] - ETA: 0s - loss: 9.3233e-06
160/262 [=================>............] - ETA: 0s - loss: 9.0565e-06
200/262 [=====================>........] - ETA: 0s - loss: 7.6063e-06
241/262 [==========================>...] - ETA: 0s - loss: 1.2111e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.2525e-05
    543. 

  543. Epoch 3/10
    544. 

  544. 
  1/262 [..............................] - ETA: 0s - loss: 1.5539e-06
 42/262 [===>..........................] - ETA: 0s - loss: 8.1081e-06
 82/262 [========>.....................] - ETA: 0s - loss: 5.5467e-06
122/262 [============>.................] - ETA: 0s - loss: 4.4736e-06
162/262 [=================>............] - ETA: 0s - loss: 3.6621e-06
201/262 [======================>.......] - ETA: 0s - loss: 3.7381e-06
238/262 [==========================>...] - ETA: 0s - loss: 5.4783e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.2867e-06
    545. 

  545. Epoch 4/10
    546. 

  546. 
  1/262 [..............................] - ETA: 0s - loss: 7.2416e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.1712e-05
 74/262 [=======>......................] - ETA: 0s - loss: 7.3951e-06
111/262 [===========>..................] - ETA: 0s - loss: 5.8945e-06
150/262 [================>.............] - ETA: 0s - loss: 4.7419e-06
190/262 [====================>.........] - ETA: 0s - loss: 4.1334e-06
230/262 [=========================>....] - ETA: 0s - loss: 4.0026e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.6372e-06
    547. 

  547. Epoch 5/10
    548. 

  548. 
  1/262 [..............................] - ETA: 0s - loss: 9.0372e-07
 37/262 [===>..........................] - ETA: 0s - loss: 7.8620e-07
 75/262 [=======>......................] - ETA: 0s - loss: 2.3240e-06
113/262 [===========>..................] - ETA: 0s - loss: 7.1458e-06
153/262 [================>.............] - ETA: 0s - loss: 5.6370e-06
192/262 [====================>.........] - ETA: 0s - loss: 4.7721e-06
230/262 [=========================>....] - ETA: 0s - loss: 4.4100e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.0435e-06
    549. 

  549. Epoch 6/10
    550. 

  550. 
  1/262 [..............................] - ETA: 0s - loss: 1.0640e-06
 40/262 [===>..........................] - ETA: 0s - loss: 1.3557e-06
 80/262 [========>.....................] - ETA: 0s - loss: 1.0955e-06
120/262 [============>.................] - ETA: 0s - loss: 9.8543e-07
160/262 [=================>............] - ETA: 0s - loss: 4.2945e-06
198/262 [=====================>........] - ETA: 0s - loss: 4.8944e-06
239/262 [==========================>...] - ETA: 0s - loss: 4.4122e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.4398e-06
    551. 

  551. Epoch 7/10
    552. 

  552. 
  1/262 [..............................] - ETA: 0s - loss: 2.4681e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.5136e-06
 80/262 [========>.....................] - ETA: 0s - loss: 1.1251e-06
116/262 [============>.................] - ETA: 0s - loss: 4.8923e-06
147/262 [===============>..............] - ETA: 0s - loss: 4.4068e-06
180/262 [===================>..........] - ETA: 0s - loss: 4.0569e-06
219/262 [========================>.....] - ETA: 0s - loss: 3.5744e-06
258/262 [============================>.] - ETA: 0s - loss: 3.2793e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.2362e-06
    553. 

  553. Epoch 8/10
    554. 

  554. 
  1/262 [..............................] - ETA: 0s - loss: 3.6339e-07
 41/262 [===>..........................] - ETA: 0s - loss: 4.0168e-07
 74/262 [=======>......................] - ETA: 0s - loss: 8.1194e-06
111/262 [===========>..................] - ETA: 0s - loss: 7.4256e-06
143/262 [===============>..............] - ETA: 0s - loss: 6.4098e-06
180/262 [===================>..........] - ETA: 0s - loss: 6.4436e-06
219/262 [========================>.....] - ETA: 0s - loss: 5.7808e-06
258/262 [============================>.] - ETA: 0s - loss: 4.9996e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.9375e-06
    555. 

  555. Epoch 9/10
    556. 

  556. 
  1/262 [..............................] - ETA: 0s - loss: 4.2606e-07
 40/262 [===>..........................] - ETA: 0s - loss: 2.1450e-06
 73/262 [=======>......................] - ETA: 0s - loss: 1.3886e-06
106/262 [===========>..................] - ETA: 0s - loss: 1.3147e-06
144/262 [===============>..............] - ETA: 0s - loss: 5.0931e-06
182/262 [===================>..........] - ETA: 0s - loss: 4.3290e-06
215/262 [=======================>......] - ETA: 0s - loss: 3.7254e-06
251/262 [===========================>..] - ETA: 0s - loss: 3.2387e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.1284e-06
    557. 

  557. Epoch 10/10
    558. 

  558. 
  1/262 [..............................] - ETA: 0s - loss: 1.9667e-07
 41/262 [===>..........................] - ETA: 0s - loss: 8.3890e-07
 79/262 [========>.....................] - ETA: 0s - loss: 6.8528e-07
119/262 [============>.................] - ETA: 0s - loss: 1.0659e-06
160/262 [=================>............] - ETA: 0s - loss: 1.2044e-06
200/262 [=====================>........] - ETA: 0s - loss: 1.0671e-06
240/262 [==========================>...] - ETA: 0s - loss: 9.3548e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.0705e-06
    559. 

  559. -> test with GAN.predict
    560. 

  560. GAN tn, fp: 651, 0
    561. 

  561. GAN fn, tp: 0, 9
    562. 

  562. GAN f1 score: 1.000
    563. 

  563. GAN cohens kappa score: 1.000
    564. 

  564. 

  565. -> test with 'LR'
    566. 

  566. LR tn, fp: 651, 0
    567. 

  567. LR fn, tp: 0, 9
    568. 

  568. LR f1 score: 1.000
    569. 

  569. LR cohens kappa score: 1.000
    570. 

  570. LR average precision score: 1.000
    571. 

  571. 

  572. -> test with 'RF'
    573. 

  573. RF tn, fp: 651, 0
    574. 

  574. RF fn, tp: 0, 9
    575. 

  575. RF f1 score: 1.000
    576. 

  576. RF cohens kappa score: 1.000
    577. 

  577. 

  578. -> test with 'GB'
    579. 

  579. GB tn, fp: 651, 0
    580. 

  580. GB fn, tp: 0, 9
    581. 

  581. GB f1 score: 1.000
    582. 

  582. GB cohens kappa score: 1.000
    583. 

  583. 

  584. -> test with 'KNN'
    585. 

  585. KNN tn, fp: 649, 2
    586. 

  586. KNN fn, tp: 0, 9
    587. 

  587. KNN f1 score: 0.900
    588. 

  588. KNN cohens kappa score: 0.898
    589. 

  589. 

  590. 

  591. ====== Step 3/5 =======
    592. 

  592. -> Shuffling data
    593. 

  593. -> Spliting data to slices
    594. 

  594. 

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

  596. -> Reset the GAN
    597. 

  597. -> Train generator for synthetic samples
    598. 

  598. -> create 2574 synthetic samples
    599. 

  599. -> retrain GAN for predict
    600. 

  600. Epoch 1/10
    601. 

  601. 
  1/262 [..............................] - ETA: 57s - loss: 1.3298e-07
 35/262 [===>..........................] - ETA: 0s - loss: 0.2878     
 65/262 [======>.......................] - ETA: 0s - loss: 0.1615
 94/262 [=========>....................] - ETA: 0s - loss: 0.1119
126/262 [=============>................] - ETA: 0s - loss: 0.0835
161/262 [=================>............] - ETA: 0s - loss: 0.0654
193/262 [=====================>........] - ETA: 0s - loss: 0.0545
226/262 [========================>.....] - ETA: 0s - loss: 0.0466
261/262 [============================>.] - ETA: 0s - loss: 0.0403
262/262 [==============================] - 1s 2ms/step - loss: 0.0403
    602. 

  602. Epoch 2/10
    603. 

  603. 
  1/262 [..............................] - ETA: 0s - loss: 5.2683e-06
 37/262 [===>..........................] - ETA: 0s - loss: 3.6324e-04
 73/262 [=======>......................] - ETA: 0s - loss: 2.1122e-04
107/262 [===========>..................] - ETA: 0s - loss: 1.4786e-04
141/262 [===============>..............] - ETA: 0s - loss: 1.1426e-04
181/262 [===================>..........] - ETA: 0s - loss: 9.0760e-05
218/262 [=======================>......] - ETA: 0s - loss: 7.6991e-05
254/262 [============================>.] - ETA: 0s - loss: 6.7620e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.5899e-05
    604. 

  604. Epoch 3/10
    605. 

  605. 
  1/262 [..............................] - ETA: 0s - loss: 1.6717e-06
 36/262 [===>..........................] - ETA: 0s - loss: 1.5878e-05
 72/262 [=======>......................] - ETA: 0s - loss: 1.0994e-05
106/262 [===========>..................] - ETA: 0s - loss: 1.1945e-05
140/262 [===============>..............] - ETA: 0s - loss: 1.0167e-05
174/262 [==================>...........] - ETA: 0s - loss: 9.4273e-06
212/262 [=======================>......] - ETA: 0s - loss: 9.0127e-06
251/262 [===========================>..] - ETA: 0s - loss: 1.1972e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.1687e-05
    606. 

  606. Epoch 4/10
    607. 

  607. 
  1/262 [..............................] - ETA: 0s - loss: 1.1510e-05
 34/262 [==>...........................] - ETA: 0s - loss: 4.3577e-06
 67/262 [======>.......................] - ETA: 0s - loss: 1.0732e-05
101/262 [==========>...................] - ETA: 0s - loss: 8.9372e-06
137/262 [==============>...............] - ETA: 0s - loss: 7.9366e-06
169/262 [==================>...........] - ETA: 0s - loss: 7.4835e-06
202/262 [======================>.......] - ETA: 0s - loss: 7.2674e-06
235/262 [=========================>....] - ETA: 0s - loss: 7.0451e-06
262/262 [==============================] - 0s 2ms/step - loss: 8.3455e-06
    608. 

  608. Epoch 5/10
    609. 

  609. 
  1/262 [..............................] - ETA: 0s - loss: 1.9193e-06
 31/262 [==>...........................] - ETA: 0s - loss: 1.1571e-05
 57/262 [=====>........................] - ETA: 0s - loss: 1.0465e-05
 88/262 [=========>....................] - ETA: 0s - loss: 8.1686e-06
126/262 [=============>................] - ETA: 0s - loss: 7.6480e-06
158/262 [=================>............] - ETA: 0s - loss: 8.7770e-06
187/262 [====================>.........] - ETA: 0s - loss: 7.9153e-06
214/262 [=======================>......] - ETA: 0s - loss: 7.3075e-06
251/262 [===========================>..] - ETA: 0s - loss: 6.8888e-06
262/262 [==============================] - 0s 2ms/step - loss: 6.8659e-06
    610. 

  610. Epoch 6/10
    611. 

  611. 
  1/262 [..............................] - ETA: 0s - loss: 3.6155e-06
 37/262 [===>..........................] - ETA: 0s - loss: 4.0185e-06
 69/262 [======>.......................] - ETA: 0s - loss: 4.0696e-06
 97/262 [==========>...................] - ETA: 0s - loss: 4.0223e-06
132/262 [==============>...............] - ETA: 0s - loss: 4.8348e-06
163/262 [=================>............] - ETA: 0s - loss: 4.9156e-06
196/262 [=====================>........] - ETA: 0s - loss: 4.8925e-06
224/262 [========================>.....] - ETA: 0s - loss: 4.5813e-06
260/262 [============================>.] - ETA: 0s - loss: 5.9054e-06
262/262 [==============================] - 0s 2ms/step - loss: 5.8822e-06
    612. 

  612. Epoch 7/10
    613. 

  613. 
  1/262 [..............................] - ETA: 0s - loss: 2.0633e-06
 36/262 [===>..........................] - ETA: 0s - loss: 3.0794e-06
 69/262 [======>.......................] - ETA: 0s - loss: 2.7878e-06
106/262 [===========>..................] - ETA: 0s - loss: 2.7209e-06
140/262 [===============>..............] - ETA: 0s - loss: 2.7303e-06
173/262 [==================>...........] - ETA: 0s - loss: 3.3901e-06
210/262 [=======================>......] - ETA: 0s - loss: 4.0178e-06
246/262 [===========================>..] - ETA: 0s - loss: 3.8415e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.9652e-06
    614. 

  614. Epoch 8/10
    615. 

  615. 
  1/262 [..............................] - ETA: 0s - loss: 1.6334e-06
 37/262 [===>..........................] - ETA: 0s - loss: 2.7479e-06
 75/262 [=======>......................] - ETA: 0s - loss: 2.3486e-06
100/262 [==========>...................] - ETA: 0s - loss: 2.9082e-06
138/262 [==============>...............] - ETA: 0s - loss: 3.7469e-06
176/262 [===================>..........] - ETA: 0s - loss: 3.3559e-06
215/262 [=======================>......] - ETA: 0s - loss: 3.6465e-06
249/262 [===========================>..] - ETA: 0s - loss: 4.5092e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.4315e-06
    616. 

  616. Epoch 9/10
    617. 

  617. 
  1/262 [..............................] - ETA: 0s - loss: 1.9603e-06
 39/262 [===>..........................] - ETA: 0s - loss: 7.1602e-06
 69/262 [======>.......................] - ETA: 0s - loss: 5.2481e-06
103/262 [==========>...................] - ETA: 0s - loss: 6.4040e-06
138/262 [==============>...............] - ETA: 0s - loss: 5.1851e-06
169/262 [==================>...........] - ETA: 0s - loss: 4.7121e-06
202/262 [======================>.......] - ETA: 0s - loss: 4.1935e-06
239/262 [==========================>...] - ETA: 0s - loss: 3.9264e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.7664e-06
    618. 

  618. Epoch 10/10
    619. 

  619. 
  1/262 [..............................] - ETA: 0s - loss: 2.3407e-06
 39/262 [===>..........................] - ETA: 0s - loss: 3.8172e-06
 71/262 [=======>......................] - ETA: 0s - loss: 3.3153e-06
109/262 [===========>..................] - ETA: 0s - loss: 5.0075e-06
139/262 [==============>...............] - ETA: 0s - loss: 4.3425e-06
169/262 [==================>...........] - ETA: 0s - loss: 3.9468e-06
193/262 [=====================>........] - ETA: 0s - loss: 4.0832e-06
228/262 [=========================>....] - ETA: 0s - loss: 3.7099e-06
262/262 [==============================] - 0s 2ms/step - loss: 3.6882e-06
    620. 

  620. -> test with GAN.predict
    621. 

  621. GAN tn, fp: 654, 0
    622. 

  622. GAN fn, tp: 0, 10
    623. 

  623. GAN f1 score: 1.000
    624. 

  624. GAN cohens kappa score: 1.000
    625. 

  625. 

  626. -> test with 'LR'
    627. 

  627. LR tn, fp: 654, 0
    628. 

  628. LR fn, tp: 0, 10
    629. 

  629. LR f1 score: 1.000
    630. 

  630. LR cohens kappa score: 1.000
    631. 

  631. LR average precision score: 1.000
    632. 

  632. 

  633. -> test with 'RF'
    634. 

  634. RF tn, fp: 654, 0
    635. 

  635. RF fn, tp: 0, 10
    636. 

  636. RF f1 score: 1.000
    637. 

  637. RF cohens kappa score: 1.000
    638. 

  638. 

  639. -> test with 'GB'
    640. 

  640. GB tn, fp: 654, 0
    641. 

  641. GB fn, tp: 0, 10
    642. 

  642. GB f1 score: 1.000
    643. 

  643. GB cohens kappa score: 1.000
    644. 

  644. 

  645. -> test with 'KNN'
    646. 

  646. KNN tn, fp: 653, 1
    647. 

  647. KNN fn, tp: 0, 10
    648. 

  648. KNN f1 score: 0.952
    649. 

  649. KNN cohens kappa score: 0.952
    650. 

  650. 

  651. 

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

  653. -> Reset the GAN
    654. 

  654. -> Train generator for synthetic samples
    655. 

  655. -> create 2574 synthetic samples
    656. 

  656. -> retrain GAN for predict
    657. 

  657. Epoch 1/10
    658. 

  658. 
  1/262 [..............................] - ETA: 48s - loss: 4.1546e-08
 40/262 [===>..........................] - ETA: 0s - loss: 0.0511     
 83/262 [========>.....................] - ETA: 0s - loss: 0.1370
123/262 [=============>................] - ETA: 0s - loss: 0.0929
160/262 [=================>............] - ETA: 0s - loss: 0.0715
199/262 [=====================>........] - ETA: 0s - loss: 0.0575
238/262 [==========================>...] - ETA: 0s - loss: 0.0481
262/262 [==============================] - 1s 1ms/step - loss: 0.0438
    659. 

  659. Epoch 2/10
    660. 

  660. 
  1/262 [..............................] - ETA: 0s - loss: 1.9215e-05
 40/262 [===>..........................] - ETA: 0s - loss: 5.4350e-05
 80/262 [========>.....................] - ETA: 0s - loss: 4.1970e-05
119/262 [============>.................] - ETA: 0s - loss: 4.1662e-05
159/262 [=================>............] - ETA: 0s - loss: 3.4379e-05
199/262 [=====================>........] - ETA: 0s - loss: 3.1570e-05
238/262 [==========================>...] - ETA: 0s - loss: 2.7625e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.5821e-05
    661. 

  661. Epoch 3/10
    662. 

  662. 
  1/262 [..............................] - ETA: 0s - loss: 4.6458e-06
 40/262 [===>..........................] - ETA: 0s - loss: 5.7515e-06
 80/262 [========>.....................] - ETA: 0s - loss: 8.4283e-06
116/262 [============>.................] - ETA: 0s - loss: 4.6674e-05
154/262 [================>.............] - ETA: 0s - loss: 4.2615e-05
193/262 [=====================>........] - ETA: 0s - loss: 3.7411e-05
230/262 [=========================>....] - ETA: 0s - loss: 3.4564e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.1841e-05
    663. 

  663. Epoch 4/10
    664. 

  664. 
  1/262 [..............................] - ETA: 0s - loss: 3.0801e-06
 39/262 [===>..........................] - ETA: 0s - loss: 1.3727e-05
 73/262 [=======>......................] - ETA: 0s - loss: 1.3691e-05
106/262 [===========>..................] - ETA: 0s - loss: 1.4933e-05
142/262 [===============>..............] - ETA: 0s - loss: 1.3183e-05
182/262 [===================>..........] - ETA: 0s - loss: 1.1570e-05
221/262 [========================>.....] - ETA: 0s - loss: 1.0341e-05
260/262 [============================>.] - ETA: 0s - loss: 9.7345e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.7189e-06
    665. 

  665. Epoch 5/10
    666. 

  666. 
  1/262 [..............................] - ETA: 0s - loss: 2.3560e-06
 37/262 [===>..........................] - ETA: 0s - loss: 1.7644e-05
 75/262 [=======>......................] - ETA: 0s - loss: 1.2268e-05
113/262 [===========>..................] - ETA: 0s - loss: 9.9157e-06
154/262 [================>.............] - ETA: 0s - loss: 9.9785e-06
193/262 [=====================>........] - ETA: 0s - loss: 9.7452e-06
232/262 [=========================>....] - ETA: 0s - loss: 8.9272e-06
262/262 [==============================] - 0s 1ms/step - loss: 8.4497e-06
    667. 

  667. Epoch 6/10
    668. 

  668. 
  1/262 [..............................] - ETA: 0s - loss: 1.9582e-06
 40/262 [===>..........................] - ETA: 0s - loss: 8.6804e-06
 76/262 [=======>......................] - ETA: 0s - loss: 1.3543e-05
114/262 [============>.................] - ETA: 0s - loss: 1.0934e-05
152/262 [================>.............] - ETA: 0s - loss: 9.9650e-06
191/262 [====================>.........] - ETA: 0s - loss: 9.0866e-06
230/262 [=========================>....] - ETA: 0s - loss: 8.4179e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.9235e-06
    669. 

  669. Epoch 7/10
    670. 

  670. 
  1/262 [..............................] - ETA: 0s - loss: 1.3308e-06
 39/262 [===>..........................] - ETA: 0s - loss: 1.1599e-05
 75/262 [=======>......................] - ETA: 0s - loss: 7.9172e-06
113/262 [===========>..................] - ETA: 0s - loss: 6.4662e-06
153/262 [================>.............] - ETA: 0s - loss: 5.2853e-06
190/262 [====================>.........] - ETA: 0s - loss: 4.8701e-06
229/262 [=========================>....] - ETA: 0s - loss: 4.6017e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.5757e-06
    671. 

  671. Epoch 8/10
    672. 

  672. 
  1/262 [..............................] - ETA: 0s - loss: 3.6815e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.1885e-05
 80/262 [========>.....................] - ETA: 0s - loss: 9.6672e-06
119/262 [============>.................] - ETA: 0s - loss: 7.2299e-06
159/262 [=================>............] - ETA: 0s - loss: 6.1157e-06
199/262 [=====================>........] - ETA: 0s - loss: 5.4218e-06
239/262 [==========================>...] - ETA: 0s - loss: 4.8738e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.5968e-06
    673. 

  673. Epoch 9/10
    674. 

  674. 
  1/262 [..............................] - ETA: 0s - loss: 1.1983e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.9511e-06
 77/262 [=======>......................] - ETA: 0s - loss: 3.8440e-06
117/262 [============>.................] - ETA: 0s - loss: 6.7010e-06
155/262 [================>.............] - ETA: 0s - loss: 6.3439e-06
194/262 [=====================>........] - ETA: 0s - loss: 5.4190e-06
233/262 [=========================>....] - ETA: 0s - loss: 5.4165e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.1999e-06
    675. 

  675. Epoch 10/10
    676. 

  676. 
  1/262 [..............................] - ETA: 0s - loss: 1.0543e-06
 39/262 [===>..........................] - ETA: 0s - loss: 2.9232e-06
 77/262 [=======>......................] - ETA: 0s - loss: 5.9853e-06
109/262 [===========>..................] - ETA: 0s - loss: 6.2203e-06
142/262 [===============>..............] - ETA: 0s - loss: 5.2559e-06
175/262 [===================>..........] - ETA: 0s - loss: 4.7508e-06
215/262 [=======================>......] - ETA: 0s - loss: 4.2417e-06
255/262 [============================>.] - ETA: 0s - loss: 3.9152e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.8999e-06
    677. 

  677. -> test with GAN.predict
    678. 

  678. GAN tn, fp: 654, 0
    679. 

  679. GAN fn, tp: 0, 10
    680. 

  680. GAN f1 score: 1.000
    681. 

  681. GAN cohens kappa score: 1.000
    682. 

  682. 

  683. -> test with 'LR'
    684. 

  684. LR tn, fp: 652, 2
    685. 

  685. LR fn, tp: 0, 10
    686. 

  686. LR f1 score: 0.909
    687. 

  687. LR cohens kappa score: 0.908
    688. 

  688. LR average precision score: 1.000
    689. 

  689. 

  690. -> test with 'RF'
    691. 

  691. RF tn, fp: 654, 0
    692. 

  692. RF fn, tp: 0, 10
    693. 

  693. RF f1 score: 1.000
    694. 

  694. RF cohens kappa score: 1.000
    695. 

  695. 

  696. -> test with 'GB'
    697. 

  697. GB tn, fp: 654, 0
    698. 

  698. GB fn, tp: 0, 10
    699. 

  699. GB f1 score: 1.000
    700. 

  700. GB cohens kappa score: 1.000
    701. 

  701. 

  702. -> test with 'KNN'
    703. 

  703. KNN tn, fp: 653, 1
    704. 

  704. KNN fn, tp: 1, 9
    705. 

  705. KNN f1 score: 0.900
    706. 

  706. KNN cohens kappa score: 0.898
    707. 

  707. 

  708. 

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

  710. -> Reset the GAN
    711. 

  711. -> Train generator for synthetic samples
    712. 

  712. -> create 2574 synthetic samples
    713. 

  713. -> retrain GAN for predict
    714. 

  714. Epoch 1/10
    715. 

  715. 
  1/262 [..............................] - ETA: 50s - loss: 2.9451e-08
 42/262 [===>..........................] - ETA: 0s - loss: 0.6231     
 83/262 [========>.....................] - ETA: 0s - loss: 0.3174
123/262 [=============>................] - ETA: 0s - loss: 0.2142
163/262 [=================>............] - ETA: 0s - loss: 0.1617
203/262 [======================>.......] - ETA: 0s - loss: 0.1298
245/262 [===========================>..] - ETA: 0s - loss: 0.1076
262/262 [==============================] - 1s 1ms/step - loss: 0.1008
    716. 

  716. Epoch 2/10
    717. 

  717. 
  1/262 [..............................] - ETA: 0s - loss: 7.5149e-06
 36/262 [===>..........................] - ETA: 0s - loss: 8.9004e-06
 72/262 [=======>......................] - ETA: 0s - loss: 1.0176e-05
111/262 [===========>..................] - ETA: 0s - loss: 9.2445e-06
150/262 [================>.............] - ETA: 0s - loss: 8.4066e-06
189/262 [====================>.........] - ETA: 0s - loss: 7.9445e-06
227/262 [========================>.....] - ETA: 0s - loss: 7.6106e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.9406e-06
    718. 

  718. Epoch 3/10
    719. 

  719. 
  1/262 [..............................] - ETA: 0s - loss: 2.0560e-06
 40/262 [===>..........................] - ETA: 0s - loss: 4.4169e-06
 80/262 [========>.....................] - ETA: 0s - loss: 5.7532e-06
119/262 [============>.................] - ETA: 0s - loss: 6.2292e-06
159/262 [=================>............] - ETA: 0s - loss: 6.2391e-06
198/262 [=====================>........] - ETA: 0s - loss: 6.0731e-06
237/262 [==========================>...] - ETA: 0s - loss: 5.9845e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.7080e-06
    720. 

  720. Epoch 4/10
    721. 

  721. 
  1/262 [..............................] - ETA: 0s - loss: 1.0497e-06
 39/262 [===>..........................] - ETA: 0s - loss: 3.5464e-06
 78/262 [=======>......................] - ETA: 0s - loss: 3.0218e-06
117/262 [============>.................] - ETA: 0s - loss: 3.1044e-06
157/262 [================>.............] - ETA: 0s - loss: 3.3349e-06
196/262 [=====================>........] - ETA: 0s - loss: 4.2248e-06
233/262 [=========================>....] - ETA: 0s - loss: 4.6628e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.5974e-06
    722. 

  722. Epoch 5/10
    723. 

  723. 
  1/262 [..............................] - ETA: 0s - loss: 4.0204e-07
 41/262 [===>..........................] - ETA: 0s - loss: 3.5095e-06
 81/262 [========>.....................] - ETA: 0s - loss: 4.7761e-06
122/262 [============>.................] - ETA: 0s - loss: 3.9688e-06
162/262 [=================>............] - ETA: 0s - loss: 3.5808e-06
201/262 [======================>.......] - ETA: 0s - loss: 3.4862e-06
241/262 [==========================>...] - ETA: 0s - loss: 3.8653e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.7711e-06
    724. 

  724. Epoch 6/10
    725. 

  725. 
  1/262 [..............................] - ETA: 0s - loss: 8.4154e-07
 38/262 [===>..........................] - ETA: 0s - loss: 2.7475e-06
 77/262 [=======>......................] - ETA: 0s - loss: 4.1971e-06
117/262 [============>.................] - ETA: 0s - loss: 3.6141e-06
157/262 [================>.............] - ETA: 0s - loss: 3.1813e-06
196/262 [=====================>........] - ETA: 0s - loss: 3.4684e-06
234/262 [=========================>....] - ETA: 0s - loss: 3.3673e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.2156e-06
    726. 

  726. Epoch 7/10
    727. 

  727. 
  1/262 [..............................] - ETA: 0s - loss: 3.0664e-06
 33/262 [==>...........................] - ETA: 0s - loss: 1.2663e-06
 69/262 [======>.......................] - ETA: 0s - loss: 1.7309e-06
109/262 [===========>..................] - ETA: 0s - loss: 2.9513e-06
149/262 [================>.............] - ETA: 0s - loss: 2.5123e-06
188/262 [====================>.........] - ETA: 0s - loss: 2.2782e-06
221/262 [========================>.....] - ETA: 0s - loss: 2.5993e-06
257/262 [============================>.] - ETA: 0s - loss: 2.7590e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.7564e-06
    728. 

  728. Epoch 8/10
    729. 

  729. 
  1/262 [..............................] - ETA: 0s - loss: 1.1531e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.3793e-06
 79/262 [========>.....................] - ETA: 0s - loss: 1.9549e-06
118/262 [============>.................] - ETA: 0s - loss: 1.7097e-06
157/262 [================>.............] - ETA: 0s - loss: 2.0927e-06
196/262 [=====================>........] - ETA: 0s - loss: 2.0793e-06
234/262 [=========================>....] - ETA: 0s - loss: 2.1352e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.4010e-06
    730. 

  730. Epoch 9/10
    731. 

  731. 
  1/262 [..............................] - ETA: 0s - loss: 3.3318e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.7084e-06
 81/262 [========>.....................] - ETA: 0s - loss: 1.8105e-06
120/262 [============>.................] - ETA: 0s - loss: 1.8047e-06
158/262 [=================>............] - ETA: 0s - loss: 1.9207e-06
197/262 [=====================>........] - ETA: 0s - loss: 2.0361e-06
237/262 [==========================>...] - ETA: 0s - loss: 1.9894e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.1130e-06
    732. 

  732. Epoch 10/10
    733. 

  733. 
  1/262 [..............................] - ETA: 0s - loss: 5.2985e-07
 42/262 [===>..........................] - ETA: 0s - loss: 2.2508e-06
 82/262 [========>.....................] - ETA: 0s - loss: 2.0484e-06
122/262 [============>.................] - ETA: 0s - loss: 1.7888e-06
160/262 [=================>............] - ETA: 0s - loss: 2.2017e-06
198/262 [=====================>........] - ETA: 0s - loss: 2.0145e-06
238/262 [==========================>...] - ETA: 0s - loss: 1.8580e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.8051e-06
    734. 

  734. -> test with GAN.predict
    735. 

  735. GAN tn, fp: 654, 0
    736. 

  736. GAN fn, tp: 0, 10
    737. 

  737. GAN f1 score: 1.000
    738. 

  738. GAN cohens kappa score: 1.000
    739. 

  739. 

  740. -> test with 'LR'
    741. 

  741. LR tn, fp: 654, 0
    742. 

  742. LR fn, tp: 0, 10
    743. 

  743. LR f1 score: 1.000
    744. 

  744. LR cohens kappa score: 1.000
    745. 

  745. LR average precision score: 1.000
    746. 

  746. 

  747. -> test with 'RF'
    748. 

  748. RF tn, fp: 654, 0
    749. 

  749. RF fn, tp: 0, 10
    750. 

  750. RF f1 score: 1.000
    751. 

  751. RF cohens kappa score: 1.000
    752. 

  752. 

  753. -> test with 'GB'
    754. 

  754. GB tn, fp: 654, 0
    755. 

  755. GB fn, tp: 0, 10
    756. 

  756. GB f1 score: 1.000
    757. 

  757. GB cohens kappa score: 1.000
    758. 

  758. 

  759. -> test with 'KNN'
    760. 

  760. KNN tn, fp: 654, 0
    761. 

  761. KNN fn, tp: 0, 10
    762. 

  762. KNN f1 score: 1.000
    763. 

  763. KNN cohens kappa score: 1.000
    764. 

  764. 

  765. 

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

  767. -> Reset the GAN
    768. 

  768. -> Train generator for synthetic samples
    769. 

  769. -> create 2574 synthetic samples
    770. 

  770. -> retrain GAN for predict
    771. 

  771. Epoch 1/10
    772. 

  772. 
  1/262 [..............................] - ETA: 41s - loss: 2.7702e-09
 40/262 [===>..........................] - ETA: 0s - loss: 0.6987     
 80/262 [========>.....................] - ETA: 0s - loss: 0.3502
117/262 [============>.................] - ETA: 0s - loss: 0.2394
157/262 [================>.............] - ETA: 0s - loss: 0.1784
194/262 [=====================>........] - ETA: 0s - loss: 0.1444
222/262 [========================>.....] - ETA: 0s - loss: 0.1262
253/262 [===========================>..] - ETA: 0s - loss: 0.1107
262/262 [==============================] - 1s 1ms/step - loss: 0.1072
    773. 

  773. Epoch 2/10
    774. 

  774. 
  1/262 [..............................] - ETA: 0s - loss: 8.7515e-06
 33/262 [==>...........................] - ETA: 0s - loss: 8.1558e-06
 68/262 [======>.......................] - ETA: 0s - loss: 6.0316e-06
 97/262 [==========>...................] - ETA: 0s - loss: 5.8546e-06
127/262 [=============>................] - ETA: 0s - loss: 5.2856e-06
155/262 [================>.............] - ETA: 0s - loss: 4.8442e-06
182/262 [===================>..........] - ETA: 0s - loss: 5.2079e-06
207/262 [======================>.......] - ETA: 0s - loss: 4.9864e-06
237/262 [==========================>...] - ETA: 0s - loss: 4.7279e-06
262/262 [==============================] - 0s 2ms/step - loss: 4.7082e-06
    775. 

  775. Epoch 3/10
    776. 

  776. 
  1/262 [..............................] - ETA: 0s - loss: 6.9548e-07
 33/262 [==>...........................] - ETA: 0s - loss: 3.0520e-06
 63/262 [======>.......................] - ETA: 0s - loss: 2.7962e-06
 93/262 [=========>....................] - ETA: 0s - loss: 2.3547e-06
124/262 [=============>................] - ETA: 0s - loss: 3.2162e-06
156/262 [================>.............] - ETA: 0s - loss: 3.0789e-06
183/262 [===================>..........] - ETA: 0s - loss: 3.4461e-06
211/262 [=======================>......] - ETA: 0s - loss: 3.2319e-06
246/262 [===========================>..] - ETA: 0s - loss: 3.0165e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.9911e-06
    777. 

  777. Epoch 4/10
    778. 

  778. 
  1/262 [..............................] - ETA: 0s - loss: 6.3549e-06
 31/262 [==>...........................] - ETA: 0s - loss: 1.5521e-06
 64/262 [======>.......................] - ETA: 0s - loss: 1.3987e-06
 97/262 [==========>...................] - ETA: 0s - loss: 1.8755e-06
128/262 [=============>................] - ETA: 0s - loss: 1.7493e-06
160/262 [=================>............] - ETA: 0s - loss: 1.7855e-06
193/262 [=====================>........] - ETA: 0s - loss: 1.8232e-06
225/262 [========================>.....] - ETA: 0s - loss: 1.8707e-06
257/262 [============================>.] - ETA: 0s - loss: 2.1291e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.1060e-06
    779. 

  779. Epoch 5/10
    780. 

  780. 
  1/262 [..............................] - ETA: 0s - loss: 4.7838e-07
 38/262 [===>..........................] - ETA: 0s - loss: 9.3673e-07
 74/262 [=======>......................] - ETA: 0s - loss: 1.3350e-06
110/262 [===========>..................] - ETA: 0s - loss: 1.8659e-06
149/262 [================>.............] - ETA: 0s - loss: 1.6754e-06
182/262 [===================>..........] - ETA: 0s - loss: 1.5485e-06
214/262 [=======================>......] - ETA: 0s - loss: 1.7223e-06
247/262 [===========================>..] - ETA: 0s - loss: 1.6873e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.6705e-06
    781. 

  781. Epoch 6/10
    782. 

  782. 
  1/262 [..............................] - ETA: 0s - loss: 8.7200e-06
 34/262 [==>...........................] - ETA: 0s - loss: 1.0462e-06
 68/262 [======>.......................] - ETA: 0s - loss: 1.0222e-06
103/262 [==========>...................] - ETA: 0s - loss: 1.0077e-06
140/262 [===============>..............] - ETA: 0s - loss: 9.3799e-07
175/262 [===================>..........] - ETA: 0s - loss: 1.4034e-06
210/262 [=======================>......] - ETA: 0s - loss: 1.2566e-06
243/262 [==========================>...] - ETA: 0s - loss: 1.2955e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.3039e-06
    783. 

  783. Epoch 7/10
    784. 

  784. 
  1/262 [..............................] - ETA: 0s - loss: 1.1880e-07
 37/262 [===>..........................] - ETA: 0s - loss: 1.1560e-06
 71/262 [=======>......................] - ETA: 0s - loss: 1.1436e-06
105/262 [===========>..................] - ETA: 0s - loss: 8.9008e-07
137/262 [==============>...............] - ETA: 0s - loss: 7.5890e-07
168/262 [==================>...........] - ETA: 0s - loss: 7.3633e-07
205/262 [======================>.......] - ETA: 0s - loss: 6.9643e-07
242/262 [==========================>...] - ETA: 0s - loss: 6.4574e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.2015e-07
    785. 

  785. Epoch 8/10
    786. 

  786. 
  1/262 [..............................] - ETA: 0s - loss: 4.3513e-07
 34/262 [==>...........................] - ETA: 0s - loss: 2.6454e-07
 68/262 [======>.......................] - ETA: 0s - loss: 3.7222e-07
107/262 [===========>..................] - ETA: 0s - loss: 7.1861e-07
146/262 [===============>..............] - ETA: 0s - loss: 5.8478e-07
184/262 [====================>.........] - ETA: 0s - loss: 5.1470e-07
221/262 [========================>.....] - ETA: 0s - loss: 4.9118e-07
259/262 [============================>.] - ETA: 0s - loss: 5.6921e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.6677e-07
    787. 

  787. Epoch 9/10
    788. 

  788. 
  1/262 [..............................] - ETA: 0s - loss: 4.1344e-08
 36/262 [===>..........................] - ETA: 0s - loss: 4.3135e-07
 76/262 [=======>......................] - ETA: 0s - loss: 2.7732e-07
113/262 [===========>..................] - ETA: 0s - loss: 4.7360e-07
151/262 [================>.............] - ETA: 0s - loss: 4.1835e-07
188/262 [====================>.........] - ETA: 0s - loss: 4.5470e-07
226/262 [========================>.....] - ETA: 0s - loss: 5.0981e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.8544e-07
    789. 

  789. Epoch 10/10
    790. 

  790. 
  1/262 [..............................] - ETA: 0s - loss: 3.6682e-08
 40/262 [===>..........................] - ETA: 0s - loss: 2.0129e-07
 77/262 [=======>......................] - ETA: 0s - loss: 1.6754e-07
114/262 [============>.................] - ETA: 0s - loss: 3.1092e-07
153/262 [================>.............] - ETA: 0s - loss: 2.7004e-07
190/262 [====================>.........] - ETA: 0s - loss: 4.3108e-07
228/262 [=========================>....] - ETA: 0s - loss: 4.4216e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.1291e-07
    791. 

  791. -> test with GAN.predict
    792. 

  792. GAN tn, fp: 654, 0
    793. 

  793. GAN fn, tp: 0, 10
    794. 

  794. GAN f1 score: 1.000
    795. 

  795. GAN cohens kappa score: 1.000
    796. 

  796. 

  797. -> test with 'LR'
    798. 

  798. LR tn, fp: 654, 0
    799. 

  799. LR fn, tp: 0, 10
    800. 

  800. LR f1 score: 1.000
    801. 

  801. LR cohens kappa score: 1.000
    802. 

  802. LR average precision score: 1.000
    803. 

  803. 

  804. -> test with 'RF'
    805. 

  805. RF tn, fp: 654, 0
    806. 

  806. RF fn, tp: 0, 10
    807. 

  807. RF f1 score: 1.000
    808. 

  808. RF cohens kappa score: 1.000
    809. 

  809. 

  810. -> test with 'GB'
    811. 

  811. GB tn, fp: 654, 0
    812. 

  812. GB fn, tp: 0, 10
    813. 

  813. GB f1 score: 1.000
    814. 

  814. GB cohens kappa score: 1.000
    815. 

  815. 

  816. -> test with 'KNN'
    817. 

  817. KNN tn, fp: 653, 1
    818. 

  818. KNN fn, tp: 0, 10
    819. 

  819. KNN f1 score: 0.952
    820. 

  820. KNN cohens kappa score: 0.952
    821. 

  821. 

  822. 

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

  824. -> Reset the GAN
    825. 

  825. -> Train generator for synthetic samples
    826. 

  826. -> create 2576 synthetic samples
    827. 

  827. -> retrain GAN for predict
    828. 

  828. Epoch 1/10
    829. 

  829. 
  1/262 [..............................] - ETA: 54s - loss: 2.2102e-07
 41/262 [===>..........................] - ETA: 0s - loss: 0.1474     
 81/262 [========>.....................] - ETA: 0s - loss: 0.0768
121/262 [============>.................] - ETA: 0s - loss: 0.0516
161/262 [=================>............] - ETA: 0s - loss: 0.0389
201/262 [======================>.......] - ETA: 0s - loss: 0.0311
242/262 [==========================>...] - ETA: 0s - loss: 0.0259
262/262 [==============================] - 1s 1ms/step - loss: 0.0239
    830. 

  830. Epoch 2/10
    831. 

  831. 
  1/262 [..............................] - ETA: 0s - loss: 1.5537e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.1150e-06
 81/262 [========>.....................] - ETA: 0s - loss: 1.3536e-06
120/262 [============>.................] - ETA: 0s - loss: 1.1097e-06
160/262 [=================>............] - ETA: 0s - loss: 2.2665e-06
199/262 [=====================>........] - ETA: 0s - loss: 1.8964e-06
232/262 [=========================>....] - ETA: 0s - loss: 1.6656e-06
260/262 [============================>.] - ETA: 0s - loss: 1.8372e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.8268e-06
    832. 

  832. Epoch 3/10
    833. 

  833. 
  1/262 [..............................] - ETA: 0s - loss: 4.7173e-07
 37/262 [===>..........................] - ETA: 0s - loss: 3.7405e-06
 76/262 [=======>......................] - ETA: 0s - loss: 2.0508e-06
117/262 [============>.................] - ETA: 0s - loss: 1.4187e-06
159/262 [=================>............] - ETA: 0s - loss: 1.1065e-06
199/262 [=====================>........] - ETA: 0s - loss: 9.6300e-07
239/262 [==========================>...] - ETA: 0s - loss: 1.1397e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.0734e-06
    834. 

  834. Epoch 4/10
    835. 

  835. 
  1/262 [..............................] - ETA: 0s - loss: 2.5746e-07
 42/262 [===>..........................] - ETA: 0s - loss: 2.5668e-07
 81/262 [========>.....................] - ETA: 0s - loss: 5.4617e-07
118/262 [============>.................] - ETA: 0s - loss: 4.6232e-07
156/262 [================>.............] - ETA: 0s - loss: 6.4953e-07
196/262 [=====================>........] - ETA: 0s - loss: 5.6942e-07
236/262 [==========================>...] - ETA: 0s - loss: 5.1298e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.3319e-07
    836. 

  836. Epoch 5/10
    837. 

  837. 
  1/262 [..............................] - ETA: 0s - loss: 9.5012e-08
 40/262 [===>..........................] - ETA: 0s - loss: 6.4734e-07
 80/262 [========>.....................] - ETA: 0s - loss: 4.2694e-07
120/262 [============>.................] - ETA: 0s - loss: 1.0534e-06
161/262 [=================>............] - ETA: 0s - loss: 8.4275e-07
202/262 [======================>.......] - ETA: 0s - loss: 7.1661e-07
243/262 [==========================>...] - ETA: 0s - loss: 7.2869e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.8546e-07
    838. 

  838. Epoch 6/10
    839. 

  839. 
  1/262 [..............................] - ETA: 0s - loss: 2.4596e-07
 41/262 [===>..........................] - ETA: 0s - loss: 2.8117e-07
 81/262 [========>.....................] - ETA: 0s - loss: 2.1846e-07
121/262 [============>.................] - ETA: 0s - loss: 2.0967e-07
161/262 [=================>............] - ETA: 0s - loss: 1.9605e-07
201/262 [======================>.......] - ETA: 0s - loss: 4.0353e-07
240/262 [==========================>...] - ETA: 0s - loss: 5.9186e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.6189e-07
    840. 

  840. Epoch 7/10
    841. 

  841. 
  1/262 [..............................] - ETA: 0s - loss: 1.4074e-07
 39/262 [===>..........................] - ETA: 0s - loss: 1.3834e-06
 79/262 [========>.....................] - ETA: 0s - loss: 7.4243e-07
119/262 [============>.................] - ETA: 0s - loss: 5.3588e-07
158/262 [=================>............] - ETA: 0s - loss: 4.7060e-07
196/262 [=====================>........] - ETA: 0s - loss: 4.0829e-07
234/262 [=========================>....] - ETA: 0s - loss: 3.6172e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.6540e-07
    842. 

  842. Epoch 8/10
    843. 

  843. 
  1/262 [..............................] - ETA: 0s - loss: 8.7314e-08
 35/262 [===>..........................] - ETA: 0s - loss: 1.2613e-06
 66/262 [======>.......................] - ETA: 0s - loss: 8.7442e-07
100/262 [==========>...................] - ETA: 0s - loss: 6.3493e-07
138/262 [==============>...............] - ETA: 0s - loss: 5.2045e-07
179/262 [===================>..........] - ETA: 0s - loss: 5.2245e-07
218/262 [=======================>......] - ETA: 0s - loss: 4.5339e-07
257/262 [============================>.] - ETA: 0s - loss: 3.9895e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.9322e-07
    844. 

  844. Epoch 9/10
    845. 

  845. 
  1/262 [..............................] - ETA: 0s - loss: 4.5604e-08
 30/262 [==>...........................] - ETA: 0s - loss: 1.2347e-06
 64/262 [======>.......................] - ETA: 0s - loss: 6.3811e-07
 96/262 [=========>....................] - ETA: 0s - loss: 4.6020e-07
134/262 [==============>...............] - ETA: 0s - loss: 3.5828e-07
174/262 [==================>...........] - ETA: 0s - loss: 3.6631e-07
214/262 [=======================>......] - ETA: 0s - loss: 3.8636e-07
254/262 [============================>.] - ETA: 0s - loss: 3.4981e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.4647e-07
    846. 

  846. Epoch 10/10
    847. 

  847. 
  1/262 [..............................] - ETA: 0s - loss: 6.6063e-08
 42/262 [===>..........................] - ETA: 0s - loss: 3.4796e-07
 82/262 [========>.....................] - ETA: 0s - loss: 2.5165e-07
123/262 [=============>................] - ETA: 0s - loss: 2.1358e-07
163/262 [=================>............] - ETA: 0s - loss: 3.5583e-07
202/262 [======================>.......] - ETA: 0s - loss: 3.0638e-07
243/262 [==========================>...] - ETA: 0s - loss: 3.1461e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.9731e-07
    848. 

  848. -> test with GAN.predict
    849. 

  849. GAN tn, fp: 651, 0
    850. 

  850. GAN fn, tp: 0, 9
    851. 

  851. GAN f1 score: 1.000
    852. 

  852. GAN cohens kappa score: 1.000
    853. 

  853. 

  854. -> test with 'LR'
    855. 

  855. LR tn, fp: 651, 0
    856. 

  856. LR fn, tp: 0, 9
    857. 

  857. LR f1 score: 1.000
    858. 

  858. LR cohens kappa score: 1.000
    859. 

  859. LR average precision score: 1.000
    860. 

  860. 

  861. -> test with 'RF'
    862. 

  862. RF tn, fp: 651, 0
    863. 

  863. RF fn, tp: 0, 9
    864. 

  864. RF f1 score: 1.000
    865. 

  865. RF cohens kappa score: 1.000
    866. 

  866. 

  867. -> test with 'GB'
    868. 

  868. GB tn, fp: 651, 0
    869. 

  869. GB fn, tp: 0, 9
    870. 

  870. GB f1 score: 1.000
    871. 

  871. GB cohens kappa score: 1.000
    872. 

  872. 

  873. -> test with 'KNN'
    874. 

  874. KNN tn, fp: 649, 2
    875. 

  875. KNN fn, tp: 0, 9
    876. 

  876. KNN f1 score: 0.900
    877. 

  877. KNN cohens kappa score: 0.898
    878. 

  878. 

  879. 

  880. ====== Step 4/5 =======
    881. 

  881. -> Shuffling data
    882. 

  882. -> Spliting data to slices
    883. 

  883. 

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

  885. -> Reset the GAN
    886. 

  886. -> Train generator for synthetic samples
    887. 

  887. -> create 2574 synthetic samples
    888. 

  888. -> retrain GAN for predict
    889. 

  889. Epoch 1/10
    890. 

  890. 
  1/262 [..............................] - ETA: 59s - loss: 4.7179e-07
 30/262 [==>...........................] - ETA: 0s - loss: 2.9003     
 67/262 [======>.......................] - ETA: 0s - loss: 1.8094
105/262 [===========>..................] - ETA: 0s - loss: 1.1547
142/262 [===============>..............] - ETA: 0s - loss: 0.8539
178/262 [===================>..........] - ETA: 0s - loss: 0.7279
216/262 [=======================>......] - ETA: 0s - loss: 0.5999
250/262 [===========================>..] - ETA: 0s - loss: 0.5183
262/262 [==============================] - 1s 1ms/step - loss: 0.4959
    891. 

  891. Epoch 2/10
    892. 

  892. 
  1/262 [..............................] - ETA: 0s - loss: 3.3448e-05
 39/262 [===>..........................] - ETA: 0s - loss: 6.8139e-05
 76/262 [=======>......................] - ETA: 0s - loss: 6.2235e-05
114/262 [============>.................] - ETA: 0s - loss: 5.4913e-05
151/262 [================>.............] - ETA: 0s - loss: 4.7551e-05
187/262 [====================>.........] - ETA: 0s - loss: 4.4642e-05
215/262 [=======================>......] - ETA: 0s - loss: 4.2536e-05
241/262 [==========================>...] - ETA: 0s - loss: 4.0140e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.9200e-05
    893. 

  893. Epoch 3/10
    894. 

  894. 
  1/262 [..............................] - ETA: 0s - loss: 2.7795e-05
 39/262 [===>..........................] - ETA: 0s - loss: 3.7281e-05
 72/262 [=======>......................] - ETA: 0s - loss: 2.6715e-05
102/262 [==========>...................] - ETA: 0s - loss: 2.5602e-05
139/262 [==============>...............] - ETA: 0s - loss: 2.2277e-05
169/262 [==================>...........] - ETA: 0s - loss: 2.0625e-05
201/262 [======================>.......] - ETA: 0s - loss: 1.9275e-05
231/262 [=========================>....] - ETA: 0s - loss: 1.7962e-05
262/262 [==============================] - 0s 2ms/step - loss: 1.6936e-05
    895. 

  895. Epoch 4/10
    896. 

  896. 
  1/262 [..............................] - ETA: 0s - loss: 2.6093e-06
 38/262 [===>..........................] - ETA: 0s - loss: 7.8478e-06
 62/262 [======>.......................] - ETA: 0s - loss: 6.8555e-06
 95/262 [=========>....................] - ETA: 0s - loss: 1.1586e-05
130/262 [=============>................] - ETA: 0s - loss: 1.1657e-05
166/262 [==================>...........] - ETA: 0s - loss: 1.0243e-05
203/262 [======================>.......] - ETA: 0s - loss: 9.6064e-06
238/262 [==========================>...] - ETA: 0s - loss: 8.7999e-06
262/262 [==============================] - 0s 1ms/step - loss: 8.2643e-06
    897. 

  897. Epoch 5/10
    898. 

  898. 
  1/262 [..............................] - ETA: 0s - loss: 3.5686e-06
 37/262 [===>..........................] - ETA: 0s - loss: 4.0802e-06
 72/262 [=======>......................] - ETA: 0s - loss: 4.4079e-06
109/262 [===========>..................] - ETA: 0s - loss: 3.9983e-06
144/262 [===============>..............] - ETA: 0s - loss: 3.7548e-06
180/262 [===================>..........] - ETA: 0s - loss: 4.0179e-06
212/262 [=======================>......] - ETA: 0s - loss: 6.9852e-06
251/262 [===========================>..] - ETA: 0s - loss: 6.6712e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.5411e-06
    899. 

  899. Epoch 6/10
    900. 

  900. 
  1/262 [..............................] - ETA: 0s - loss: 1.9777e-06
 42/262 [===>..........................] - ETA: 0s - loss: 4.7108e-06
 79/262 [========>.....................] - ETA: 0s - loss: 3.8548e-06
117/262 [============>.................] - ETA: 0s - loss: 3.8013e-06
155/262 [================>.............] - ETA: 0s - loss: 3.6803e-06
193/262 [=====================>........] - ETA: 0s - loss: 3.4595e-06
231/262 [=========================>....] - ETA: 0s - loss: 4.5374e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.4376e-06
    901. 

  901. Epoch 7/10
    902. 

  902. 
  1/262 [..............................] - ETA: 0s - loss: 1.5012e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.5601e-06
 78/262 [=======>......................] - ETA: 0s - loss: 3.2559e-06
112/262 [===========>..................] - ETA: 0s - loss: 2.9506e-06
145/262 [===============>..............] - ETA: 0s - loss: 2.8014e-06
183/262 [===================>..........] - ETA: 0s - loss: 2.6681e-06
221/262 [========================>.....] - ETA: 0s - loss: 3.6339e-06
253/262 [===========================>..] - ETA: 0s - loss: 3.6384e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.5575e-06
    903. 

  903. Epoch 8/10
    904. 

  904. 
  1/262 [..............................] - ETA: 0s - loss: 1.6788e-05
 36/262 [===>..........................] - ETA: 0s - loss: 3.0783e-06
 74/262 [=======>......................] - ETA: 0s - loss: 2.3489e-06
111/262 [===========>..................] - ETA: 0s - loss: 3.9000e-06
146/262 [===============>..............] - ETA: 0s - loss: 3.5944e-06
184/262 [====================>.........] - ETA: 0s - loss: 3.3982e-06
219/262 [========================>.....] - ETA: 0s - loss: 3.0555e-06
257/262 [============================>.] - ETA: 0s - loss: 2.8606e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.8361e-06
    905. 

  905. Epoch 9/10
    906. 

  906. 
  1/262 [..............................] - ETA: 0s - loss: 2.0949e-06
 31/262 [==>...........................] - ETA: 0s - loss: 2.2413e-06
 66/262 [======>.......................] - ETA: 0s - loss: 1.9000e-06
 99/262 [==========>...................] - ETA: 0s - loss: 1.8514e-06
129/262 [=============>................] - ETA: 0s - loss: 1.6674e-06
163/262 [=================>............] - ETA: 0s - loss: 1.9682e-06
199/262 [=====================>........] - ETA: 0s - loss: 1.8060e-06
235/262 [=========================>....] - ETA: 0s - loss: 1.8156e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.5152e-06
    907. 

  907. Epoch 10/10
    908. 

  908. 
  1/262 [..............................] - ETA: 0s - loss: 1.3566e-06
 32/262 [==>...........................] - ETA: 0s - loss: 1.5872e-06
 65/262 [======>.......................] - ETA: 0s - loss: 1.7933e-06
101/262 [==========>...................] - ETA: 0s - loss: 1.5619e-06
137/262 [==============>...............] - ETA: 0s - loss: 2.5556e-06
161/262 [=================>............] - ETA: 0s - loss: 2.4238e-06
194/262 [=====================>........] - ETA: 0s - loss: 2.3399e-06
225/262 [========================>.....] - ETA: 0s - loss: 2.2103e-06
252/262 [===========================>..] - ETA: 0s - loss: 2.1210e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.0713e-06
    909. 

  909. -> test with GAN.predict
    910. 

  910. GAN tn, fp: 654, 0
    911. 

  911. GAN fn, tp: 0, 10
    912. 

  912. GAN f1 score: 1.000
    913. 

  913. GAN cohens kappa score: 1.000
    914. 

  914. 

  915. -> test with 'LR'
    916. 

  916. LR tn, fp: 654, 0
    917. 

  917. LR fn, tp: 0, 10
    918. 

  918. LR f1 score: 1.000
    919. 

  919. LR cohens kappa score: 1.000
    920. 

  920. LR average precision score: 1.000
    921. 

  921. 

  922. -> test with 'RF'
    923. 

  923. RF tn, fp: 654, 0
    924. 

  924. RF fn, tp: 0, 10
    925. 

  925. RF f1 score: 1.000
    926. 

  926. RF cohens kappa score: 1.000
    927. 

  927. 

  928. -> test with 'GB'
    929. 

  929. GB tn, fp: 654, 0
    930. 

  930. GB fn, tp: 0, 10
    931. 

  931. GB f1 score: 1.000
    932. 

  932. GB cohens kappa score: 1.000
    933. 

  933. 

  934. -> test with 'KNN'
    935. 

  935. KNN tn, fp: 654, 0
    936. 

  936. KNN fn, tp: 0, 10
    937. 

  937. KNN f1 score: 1.000
    938. 

  938. KNN cohens kappa score: 1.000
    939. 

  939. 

  940. 

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

  942. -> Reset the GAN
    943. 

  943. -> Train generator for synthetic samples
    944. 

  944. -> create 2574 synthetic samples
    945. 

  945. -> retrain GAN for predict
    946. 

  946. Epoch 1/10
    947. 

  947. 
  1/262 [..............................] - ETA: 54s - loss: 0.2133
 40/262 [===>..........................] - ETA: 0s - loss: 0.1261 
 77/262 [=======>......................] - ETA: 0s - loss: 0.0656
117/262 [============>.................] - ETA: 0s - loss: 0.0432
156/262 [================>.............] - ETA: 0s - loss: 0.0324
195/262 [=====================>........] - ETA: 0s - loss: 0.0259
231/262 [=========================>....] - ETA: 0s - loss: 0.0219
262/262 [==============================] - 1s 1ms/step - loss: 0.0194
    948. 

  948. Epoch 2/10
    949. 

  949. 
  1/262 [..............................] - ETA: 0s - loss: 7.1008e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.3498e-05
 81/262 [========>.....................] - ETA: 0s - loss: 1.6063e-05
117/262 [============>.................] - ETA: 0s - loss: 1.3700e-05
155/262 [================>.............] - ETA: 0s - loss: 1.3233e-05
193/262 [=====================>........] - ETA: 0s - loss: 1.2279e-05
231/262 [=========================>....] - ETA: 0s - loss: 1.4471e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.3845e-05
    950. 

  950. Epoch 3/10
    951. 

  951. 
  1/262 [..............................] - ETA: 0s - loss: 8.0625e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.3062e-05
 80/262 [========>.....................] - ETA: 0s - loss: 1.5425e-05
119/262 [============>.................] - ETA: 0s - loss: 1.2742e-05
159/262 [=================>............] - ETA: 0s - loss: 1.2080e-05
198/262 [=====================>........] - ETA: 0s - loss: 1.1178e-05
238/262 [==========================>...] - ETA: 0s - loss: 1.0534e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.0011e-05
    952. 

  952. Epoch 4/10
    953. 

  953. 
  1/262 [..............................] - ETA: 0s - loss: 2.6909e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.4556e-05
 79/262 [========>.....................] - ETA: 0s - loss: 1.2684e-05
114/262 [============>.................] - ETA: 0s - loss: 9.7595e-06
145/262 [===============>..............] - ETA: 0s - loss: 1.0220e-05
177/262 [===================>..........] - ETA: 0s - loss: 9.4165e-06
214/262 [=======================>......] - ETA: 0s - loss: 8.6516e-06
254/262 [============================>.] - ETA: 0s - loss: 7.8561e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.7091e-06
    954. 

  954. Epoch 5/10
    955. 

  955. 
  1/262 [..............................] - ETA: 0s - loss: 3.7376e-06
 41/262 [===>..........................] - ETA: 0s - loss: 3.3609e-06
 80/262 [========>.....................] - ETA: 0s - loss: 7.4407e-06
119/262 [============>.................] - ETA: 0s - loss: 7.6070e-06
158/262 [=================>............] - ETA: 0s - loss: 7.1177e-06
196/262 [=====================>........] - ETA: 0s - loss: 6.4339e-06
235/262 [=========================>....] - ETA: 0s - loss: 5.8179e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.4299e-06
    956. 

  956. Epoch 6/10
    957. 

  957. 
  1/262 [..............................] - ETA: 0s - loss: 4.7924e-07
 40/262 [===>..........................] - ETA: 0s - loss: 2.3785e-06
 80/262 [========>.....................] - ETA: 0s - loss: 2.1981e-06
118/262 [============>.................] - ETA: 0s - loss: 5.6238e-06
158/262 [=================>............] - ETA: 0s - loss: 5.4006e-06
196/262 [=====================>........] - ETA: 0s - loss: 5.1961e-06
236/262 [==========================>...] - ETA: 0s - loss: 5.2694e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.3204e-06
    958. 

  958. Epoch 7/10
    959. 

  959. 
  1/262 [..............................] - ETA: 0s - loss: 9.9883e-08
 41/262 [===>..........................] - ETA: 0s - loss: 2.6572e-06
 80/262 [========>.....................] - ETA: 0s - loss: 2.8238e-06
118/262 [============>.................] - ETA: 0s - loss: 3.9137e-06
157/262 [================>.............] - ETA: 0s - loss: 3.4992e-06
195/262 [=====================>........] - ETA: 0s - loss: 3.1166e-06
235/262 [=========================>....] - ETA: 0s - loss: 3.9811e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.9758e-06
    960. 

  960. Epoch 8/10
    961. 

  961. 
  1/262 [..............................] - ETA: 0s - loss: 1.3324e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.8571e-06
 77/262 [=======>......................] - ETA: 0s - loss: 2.1425e-06
114/262 [============>.................] - ETA: 0s - loss: 1.9071e-06
154/262 [================>.............] - ETA: 0s - loss: 3.6837e-06
191/262 [====================>.........] - ETA: 0s - loss: 3.6731e-06
229/262 [=========================>....] - ETA: 0s - loss: 3.3885e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.2989e-06
    962. 

  962. Epoch 9/10
    963. 

  963. 
  1/262 [..............................] - ETA: 0s - loss: 9.5709e-07
 37/262 [===>..........................] - ETA: 0s - loss: 2.1729e-06
 76/262 [=======>......................] - ETA: 0s - loss: 1.7394e-06
116/262 [============>.................] - ETA: 0s - loss: 2.2209e-06
156/262 [================>.............] - ETA: 0s - loss: 2.0408e-06
196/262 [=====================>........] - ETA: 0s - loss: 2.6054e-06
236/262 [==========================>...] - ETA: 0s - loss: 2.5572e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.8657e-06
    964. 

  964. Epoch 10/10
    965. 

  965. 
  1/262 [..............................] - ETA: 0s - loss: 3.7974e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.2779e-06
 78/262 [=======>......................] - ETA: 0s - loss: 2.2732e-06
118/262 [============>.................] - ETA: 0s - loss: 3.3511e-06
152/262 [================>.............] - ETA: 0s - loss: 2.8518e-06
186/262 [====================>.........] - ETA: 0s - loss: 2.7759e-06
218/262 [=======================>......] - ETA: 0s - loss: 2.7320e-06
257/262 [============================>.] - ETA: 0s - loss: 2.4556e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.4236e-06
    966. 

  966. -> test with GAN.predict
    967. 

  967. GAN tn, fp: 654, 0
    968. 

  968. GAN fn, tp: 0, 10
    969. 

  969. GAN f1 score: 1.000
    970. 

  970. GAN cohens kappa score: 1.000
    971. 

  971. 

  972. -> test with 'LR'
    973. 

  973. LR tn, fp: 654, 0
    974. 

  974. LR fn, tp: 0, 10
    975. 

  975. LR f1 score: 1.000
    976. 

  976. LR cohens kappa score: 1.000
    977. 

  977. LR average precision score: 1.000
    978. 

  978. 

  979. -> test with 'RF'
    980. 

  980. RF tn, fp: 654, 0
    981. 

  981. RF fn, tp: 0, 10
    982. 

  982. RF f1 score: 1.000
    983. 

  983. RF cohens kappa score: 1.000
    984. 

  984. 

  985. -> test with 'GB'
    986. 

  986. GB tn, fp: 654, 0
    987. 

  987. GB fn, tp: 0, 10
    988. 

  988. GB f1 score: 1.000
    989. 

  989. GB cohens kappa score: 1.000
    990. 

  990. 

  991. -> test with 'KNN'
    992. 

  992. KNN tn, fp: 651, 3
    993. 

  993. KNN fn, tp: 0, 10
    994. 

  994. KNN f1 score: 0.870
    995. 

  995. KNN cohens kappa score: 0.867
    996. 

  996. 

  997. 

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

  999. -> Reset the GAN
    1000. 

  1000. -> Train generator for synthetic samples
    1001. 

  1001. -> create 2574 synthetic samples
    1002. 

  1002. -> retrain GAN for predict
    1003. 

  1003. Epoch 1/10
    1004. 

  1004. 
  1/262 [..............................] - ETA: 54s - loss: 7.9445e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.2636     
 79/262 [========>.....................] - ETA: 0s - loss: 0.7552
118/262 [============>.................] - ETA: 0s - loss: 0.5059
157/262 [================>.............] - ETA: 0s - loss: 0.3803
197/262 [=====================>........] - ETA: 0s - loss: 0.3031
235/262 [=========================>....] - ETA: 0s - loss: 0.2541
262/262 [==============================] - 1s 1ms/step - loss: 0.2285
    1005. 

  1005. Epoch 2/10
    1006. 

  1006. 
  1/262 [..............................] - ETA: 0s - loss: 1.9684e-05
 37/262 [===>..........................] - ETA: 0s - loss: 2.2624e-05
 69/262 [======>.......................] - ETA: 0s - loss: 3.1056e-05
104/262 [==========>...................] - ETA: 0s - loss: 3.3009e-05
140/262 [===============>..............] - ETA: 0s - loss: 3.4502e-05
179/262 [===================>..........] - ETA: 0s - loss: 3.3879e-05
219/262 [========================>.....] - ETA: 0s - loss: 3.2773e-05
256/262 [============================>.] - ETA: 0s - loss: 3.5496e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.5581e-05
    1007. 

  1007. Epoch 3/10
    1008. 

  1008. 
  1/262 [..............................] - ETA: 0s - loss: 2.9676e-05
 40/262 [===>..........................] - ETA: 0s - loss: 2.5716e-05
 80/262 [========>.....................] - ETA: 0s - loss: 2.2532e-05
118/262 [============>.................] - ETA: 0s - loss: 2.4536e-05
158/262 [=================>............] - ETA: 0s - loss: 2.5789e-05
197/262 [=====================>........] - ETA: 0s - loss: 2.4610e-05
235/262 [=========================>....] - ETA: 0s - loss: 2.6209e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.5278e-05
    1009. 

  1009. Epoch 4/10
    1010. 

  1010. 
  1/262 [..............................] - ETA: 0s - loss: 4.2331e-05
 39/262 [===>..........................] - ETA: 0s - loss: 2.1596e-05
 79/262 [========>.....................] - ETA: 0s - loss: 1.8899e-05
119/262 [============>.................] - ETA: 0s - loss: 1.9745e-05
158/262 [=================>............] - ETA: 0s - loss: 1.9030e-05
196/262 [=====================>........] - ETA: 0s - loss: 2.0562e-05
233/262 [=========================>....] - ETA: 0s - loss: 1.9637e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.9442e-05
    1011. 

  1011. Epoch 5/10
    1012. 

  1012. 
  1/262 [..............................] - ETA: 0s - loss: 8.3548e-06
 40/262 [===>..........................] - ETA: 0s - loss: 1.6994e-05
 79/262 [========>.....................] - ETA: 0s - loss: 1.5806e-05
119/262 [============>.................] - ETA: 0s - loss: 1.8826e-05
159/262 [=================>............] - ETA: 0s - loss: 1.7147e-05
199/262 [=====================>........] - ETA: 0s - loss: 1.6701e-05
238/262 [==========================>...] - ETA: 0s - loss: 1.6095e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.5817e-05
    1013. 

  1013. Epoch 6/10
    1014. 

  1014. 
  1/262 [..............................] - ETA: 0s - loss: 2.7350e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.6108e-05
 77/262 [=======>......................] - ETA: 0s - loss: 1.8761e-05
116/262 [============>.................] - ETA: 0s - loss: 1.6713e-05
154/262 [================>.............] - ETA: 0s - loss: 1.5650e-05
194/262 [=====================>........] - ETA: 0s - loss: 1.4046e-05
234/262 [=========================>....] - ETA: 0s - loss: 1.3480e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.3060e-05
    1015. 

  1015. Epoch 7/10
    1016. 

  1016. 
  1/262 [..............................] - ETA: 0s - loss: 4.3854e-06
 40/262 [===>..........................] - ETA: 0s - loss: 8.3742e-06
 79/262 [========>.....................] - ETA: 0s - loss: 7.8338e-06
118/262 [============>.................] - ETA: 0s - loss: 8.8933e-06
155/262 [================>.............] - ETA: 0s - loss: 1.1227e-05
194/262 [=====================>........] - ETA: 0s - loss: 1.1176e-05
235/262 [=========================>....] - ETA: 0s - loss: 1.1225e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.0874e-05
    1017. 

  1017. Epoch 8/10
    1018. 

  1018. 
  1/262 [..............................] - ETA: 0s - loss: 9.4066e-06
 40/262 [===>..........................] - ETA: 0s - loss: 1.7527e-05
 79/262 [========>.....................] - ETA: 0s - loss: 1.2589e-05
114/262 [============>.................] - ETA: 0s - loss: 1.1355e-05
148/262 [===============>..............] - ETA: 0s - loss: 1.0052e-05
181/262 [===================>..........] - ETA: 0s - loss: 9.9888e-06
219/262 [========================>.....] - ETA: 0s - loss: 9.5452e-06
259/262 [============================>.] - ETA: 0s - loss: 8.7927e-06
262/262 [==============================] - 0s 1ms/step - loss: 8.7335e-06
    1019. 

  1019. Epoch 9/10
    1020. 

  1020. 
  1/262 [..............................] - ETA: 0s - loss: 2.3776e-06
 41/262 [===>..........................] - ETA: 0s - loss: 7.1002e-06
 80/262 [========>.....................] - ETA: 0s - loss: 6.1454e-06
120/262 [============>.................] - ETA: 0s - loss: 6.1553e-06
160/262 [=================>............] - ETA: 0s - loss: 5.7353e-06
197/262 [=====================>........] - ETA: 0s - loss: 5.6737e-06
236/262 [==========================>...] - ETA: 0s - loss: 5.5289e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.4492e-06
    1021. 

  1021. Epoch 10/10
    1022. 

  1022. 
  1/262 [..............................] - ETA: 0s - loss: 4.9578e-06
 40/262 [===>..........................] - ETA: 0s - loss: 5.0254e-06
 79/262 [========>.....................] - ETA: 0s - loss: 5.3780e-06
119/262 [============>.................] - ETA: 0s - loss: 4.9711e-06
158/262 [=================>............] - ETA: 0s - loss: 5.0027e-06
196/262 [=====================>........] - ETA: 0s - loss: 4.6249e-06
235/262 [=========================>....] - ETA: 0s - loss: 6.3698e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.1608e-06
    1023. 

  1023. -> test with GAN.predict
    1024. 

  1024. GAN tn, fp: 654, 0
    1025. 

  1025. GAN fn, tp: 0, 10
    1026. 

  1026. GAN f1 score: 1.000
    1027. 

  1027. GAN cohens kappa score: 1.000
    1028. 

  1028. 

  1029. -> test with 'LR'
    1030. 

  1030. LR tn, fp: 654, 0
    1031. 

  1031. LR fn, tp: 0, 10
    1032. 

  1032. LR f1 score: 1.000
    1033. 

  1033. LR cohens kappa score: 1.000
    1034. 

  1034. LR average precision score: 1.000
    1035. 

  1035. 

  1036. -> test with 'RF'
    1037. 

  1037. RF tn, fp: 654, 0
    1038. 

  1038. RF fn, tp: 0, 10
    1039. 

  1039. RF f1 score: 1.000
    1040. 

  1040. RF cohens kappa score: 1.000
    1041. 

  1041. 

  1042. -> test with 'GB'
    1043. 

  1043. GB tn, fp: 654, 0
    1044. 

  1044. GB fn, tp: 0, 10
    1045. 

  1045. GB f1 score: 1.000
    1046. 

  1046. GB cohens kappa score: 1.000
    1047. 

  1047. 

  1048. -> test with 'KNN'
    1049. 

  1049. KNN tn, fp: 654, 0
    1050. 

  1050. KNN fn, tp: 0, 10
    1051. 

  1051. KNN f1 score: 1.000
    1052. 

  1052. KNN cohens kappa score: 1.000
    1053. 

  1053. 

  1054. 

  1055. ------ Step 4/5: Slice 4/5 -------
    1056. 

  1056. -> Reset the GAN
    1057. 

  1057. -> Train generator for synthetic samples
    1058. 

  1058. -> create 2574 synthetic samples
    1059. 

  1059. -> retrain GAN for predict
    1060. 

  1060. Epoch 1/10
    1061. 

  1061. 
  1/262 [..............................] - ETA: 1:50 - loss: 8.2129e-09
 41/262 [===>..........................] - ETA: 0s - loss: 0.4690      
 81/262 [========>.....................] - ETA: 0s - loss: 0.2375
116/262 [============>.................] - ETA: 0s - loss: 0.1658
156/262 [================>.............] - ETA: 0s - loss: 0.1233
195/262 [=====================>........] - ETA: 0s - loss: 0.0993
235/262 [=========================>....] - ETA: 0s - loss: 0.0826
262/262 [==============================] - 1s 1ms/step - loss: 0.0743
    1062. 

  1062. Epoch 2/10
    1063. 

  1063. 
  1/262 [..............................] - ETA: 0s - loss: 4.5157e-06
 41/262 [===>..........................] - ETA: 0s - loss: 8.9631e-06
 80/262 [========>.....................] - ETA: 0s - loss: 1.0909e-05
120/262 [============>.................] - ETA: 0s - loss: 1.1484e-05
158/262 [=================>............] - ETA: 0s - loss: 1.0988e-05
197/262 [=====================>........] - ETA: 0s - loss: 1.2858e-05
236/262 [==========================>...] - ETA: 0s - loss: 1.1796e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.1214e-05
    1064. 

  1064. Epoch 3/10
    1065. 

  1065. 
  1/262 [..............................] - ETA: 0s - loss: 2.8492e-06
 41/262 [===>..........................] - ETA: 0s - loss: 6.2740e-06
 80/262 [========>.....................] - ETA: 0s - loss: 8.3289e-06
120/262 [============>.................] - ETA: 0s - loss: 7.0625e-06
160/262 [=================>............] - ETA: 0s - loss: 6.3832e-06
194/262 [=====================>........] - ETA: 0s - loss: 6.1215e-06
230/262 [=========================>....] - ETA: 0s - loss: 6.3614e-06
260/262 [============================>.] - ETA: 0s - loss: 6.2870e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.2696e-06
    1066. 

  1066. Epoch 4/10
    1067. 

  1067. 
  1/262 [..............................] - ETA: 0s - loss: 1.2799e-06
 31/262 [==>...........................] - ETA: 0s - loss: 4.6752e-06
 64/262 [======>.......................] - ETA: 0s - loss: 5.7270e-06
100/262 [==========>...................] - ETA: 0s - loss: 4.7945e-06
141/262 [===============>..............] - ETA: 0s - loss: 4.3644e-06
181/262 [===================>..........] - ETA: 0s - loss: 4.1700e-06
221/262 [========================>.....] - ETA: 0s - loss: 4.0884e-06
262/262 [==============================] - ETA: 0s - loss: 4.3197e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.3197e-06
    1068. 

  1068. Epoch 5/10
    1069. 

  1069. 
  1/262 [..............................] - ETA: 0s - loss: 1.5377e-06
 39/262 [===>..........................] - ETA: 0s - loss: 5.4374e-06
 79/262 [========>.....................] - ETA: 0s - loss: 3.8114e-06
117/262 [============>.................] - ETA: 0s - loss: 3.4150e-06
156/262 [================>.............] - ETA: 0s - loss: 3.2914e-06
194/262 [=====================>........] - ETA: 0s - loss: 2.9975e-06
232/262 [=========================>....] - ETA: 0s - loss: 2.7680e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.1472e-06
    1070. 

  1070. Epoch 6/10
    1071. 

  1071. 
  1/262 [..............................] - ETA: 0s - loss: 8.7305e-07
 41/262 [===>..........................] - ETA: 0s - loss: 3.0848e-06
 77/262 [=======>......................] - ETA: 0s - loss: 2.2700e-06
117/262 [============>.................] - ETA: 0s - loss: 1.9703e-06
153/262 [================>.............] - ETA: 0s - loss: 2.5860e-06
193/262 [=====================>........] - ETA: 0s - loss: 2.3932e-06
232/262 [=========================>....] - ETA: 0s - loss: 2.5070e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.4053e-06
    1072. 

  1072. Epoch 7/10
    1073. 

  1073. 
  1/262 [..............................] - ETA: 0s - loss: 2.4107e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.9726e-06
 80/262 [========>.....................] - ETA: 0s - loss: 3.0165e-06
120/262 [============>.................] - ETA: 0s - loss: 2.4399e-06
158/262 [=================>............] - ETA: 0s - loss: 2.1769e-06
197/262 [=====================>........] - ETA: 0s - loss: 2.0612e-06
235/262 [=========================>....] - ETA: 0s - loss: 1.8795e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.8234e-06
    1074. 

  1074. Epoch 8/10
    1075. 

  1075. 
  1/262 [..............................] - ETA: 0s - loss: 5.9553e-07
 37/262 [===>..........................] - ETA: 0s - loss: 1.3531e-06
 77/262 [=======>......................] - ETA: 0s - loss: 1.9626e-06
117/262 [============>.................] - ETA: 0s - loss: 2.1378e-06
157/262 [================>.............] - ETA: 0s - loss: 1.9590e-06
195/262 [=====================>........] - ETA: 0s - loss: 1.7557e-06
232/262 [=========================>....] - ETA: 0s - loss: 1.6258e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5400e-06
    1076. 

  1076. Epoch 9/10
    1077. 

  1077. 
  1/262 [..............................] - ETA: 0s - loss: 1.9543e-06
 42/262 [===>..........................] - ETA: 0s - loss: 1.1714e-06
 82/262 [========>.....................] - ETA: 0s - loss: 1.0058e-06
123/262 [=============>................] - ETA: 0s - loss: 9.3261e-07
161/262 [=================>............] - ETA: 0s - loss: 8.8453e-07
199/262 [=====================>........] - ETA: 0s - loss: 1.3464e-06
235/262 [=========================>....] - ETA: 0s - loss: 1.2812e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2237e-06
    1078. 

  1078. Epoch 10/10
    1079. 

  1079. 
  1/262 [..............................] - ETA: 0s - loss: 1.1971e-06
 37/262 [===>..........................] - ETA: 0s - loss: 6.4306e-07
 68/262 [======>.......................] - ETA: 0s - loss: 8.1679e-07
101/262 [==========>...................] - ETA: 0s - loss: 7.1574e-07
135/262 [==============>...............] - ETA: 0s - loss: 7.5503e-07
175/262 [===================>..........] - ETA: 0s - loss: 9.5529e-07
214/262 [=======================>......] - ETA: 0s - loss: 1.0551e-06
254/262 [============================>.] - ETA: 0s - loss: 9.8795e-07
262/262 [==============================] - 0s 1ms/step - loss: 9.8451e-07
    1080. 

  1080. -> test with GAN.predict
    1081. 

  1081. GAN tn, fp: 654, 0
    1082. 

  1082. GAN fn, tp: 0, 10
    1083. 

  1083. GAN f1 score: 1.000
    1084. 

  1084. GAN cohens kappa score: 1.000
    1085. 

  1085. 

  1086. -> test with 'LR'
    1087. 

  1087. LR tn, fp: 654, 0
    1088. 

  1088. LR fn, tp: 0, 10
    1089. 

  1089. LR f1 score: 1.000
    1090. 

  1090. LR cohens kappa score: 1.000
    1091. 

  1091. LR average precision score: 1.000
    1092. 

  1092. 

  1093. -> test with 'RF'
    1094. 

  1094. RF tn, fp: 654, 0
    1095. 

  1095. RF fn, tp: 0, 10
    1096. 

  1096. RF f1 score: 1.000
    1097. 

  1097. RF cohens kappa score: 1.000
    1098. 

  1098. 

  1099. -> test with 'GB'
    1100. 

  1100. GB tn, fp: 654, 0
    1101. 

  1101. GB fn, tp: 0, 10
    1102. 

  1102. GB f1 score: 1.000
    1103. 

  1103. GB cohens kappa score: 1.000
    1104. 

  1104. 

  1105. -> test with 'KNN'
    1106. 

  1106. KNN tn, fp: 653, 1
    1107. 

  1107. KNN fn, tp: 0, 10
    1108. 

  1108. KNN f1 score: 0.952
    1109. 

  1109. KNN cohens kappa score: 0.952
    1110. 

  1110. 

  1111. 

  1112. ------ Step 4/5: Slice 5/5 -------
    1113. 

  1113. -> Reset the GAN
    1114. 

  1114. -> Train generator for synthetic samples
    1115. 

  1115. -> create 2576 synthetic samples
    1116. 

  1116. -> retrain GAN for predict
    1117. 

  1117. Epoch 1/10
    1118. 

  1118. 
  1/262 [..............................] - ETA: 46s - loss: 0.0024
 40/262 [===>..........................] - ETA: 0s - loss: 0.1885 
 80/262 [========>.....................] - ETA: 0s - loss: 0.0970
120/262 [============>.................] - ETA: 0s - loss: 0.0647
161/262 [=================>............] - ETA: 0s - loss: 0.0482
201/262 [======================>.......] - ETA: 0s - loss: 0.0386
239/262 [==========================>...] - ETA: 0s - loss: 0.0325
262/262 [==============================] - 1s 1ms/step - loss: 0.0297
    1119. 

  1119. Epoch 2/10
    1120. 

  1120. 
  1/262 [..............................] - ETA: 0s - loss: 7.4473e-08
 40/262 [===>..........................] - ETA: 0s - loss: 1.1027e-05
 80/262 [========>.....................] - ETA: 0s - loss: 5.9470e-06
120/262 [============>.................] - ETA: 0s - loss: 5.2538e-06
159/262 [=================>............] - ETA: 0s - loss: 9.4021e-06
199/262 [=====================>........] - ETA: 0s - loss: 1.3826e-05
238/262 [==========================>...] - ETA: 0s - loss: 1.1755e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.0868e-05
    1121. 

  1121. Epoch 3/10
    1122. 

  1122. 
  1/262 [..............................] - ETA: 0s - loss: 4.6739e-07
 40/262 [===>..........................] - ETA: 0s - loss: 3.5964e-06
 79/262 [========>.....................] - ETA: 0s - loss: 3.5247e-06
119/262 [============>.................] - ETA: 0s - loss: 4.1578e-06
158/262 [=================>............] - ETA: 0s - loss: 3.7732e-06
195/262 [=====================>........] - ETA: 0s - loss: 3.2474e-06
235/262 [=========================>....] - ETA: 0s - loss: 4.5057e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.2501e-06
    1123. 

  1123. Epoch 4/10
    1124. 

  1124. 
  1/262 [..............................] - ETA: 0s - loss: 1.3226e-06
 40/262 [===>..........................] - ETA: 0s - loss: 9.6816e-07
 78/262 [=======>......................] - ETA: 0s - loss: 5.5502e-06
116/262 [============>.................] - ETA: 0s - loss: 5.1807e-06
152/262 [================>.............] - ETA: 0s - loss: 4.6639e-06
191/262 [====================>.........] - ETA: 0s - loss: 3.8896e-06
230/262 [=========================>....] - ETA: 0s - loss: 3.3095e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.1889e-06
    1125. 

  1125. Epoch 5/10
    1126. 

  1126. 
  1/262 [..............................] - ETA: 0s - loss: 8.8982e-08
 40/262 [===>..........................] - ETA: 0s - loss: 1.5646e-06
 79/262 [========>.....................] - ETA: 0s - loss: 1.6102e-06
119/262 [============>.................] - ETA: 0s - loss: 1.7975e-06
157/262 [================>.............] - ETA: 0s - loss: 1.5959e-06
191/262 [====================>.........] - ETA: 0s - loss: 1.4645e-06
227/262 [========================>.....] - ETA: 0s - loss: 1.5831e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.3515e-06
    1127. 

  1127. Epoch 6/10
    1128. 

  1128. 
  1/262 [..............................] - ETA: 0s - loss: 1.4926e-05
 39/262 [===>..........................] - ETA: 0s - loss: 2.9925e-06
 79/262 [========>.....................] - ETA: 0s - loss: 2.0723e-06
119/262 [============>.................] - ETA: 0s - loss: 1.6081e-06
158/262 [=================>............] - ETA: 0s - loss: 1.3053e-06
196/262 [=====================>........] - ETA: 0s - loss: 1.1189e-06
234/262 [=========================>....] - ETA: 0s - loss: 2.1706e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.0503e-06
    1129. 

  1129. Epoch 7/10
    1130. 

  1130. 
  1/262 [..............................] - ETA: 0s - loss: 3.7516e-06
 34/262 [==>...........................] - ETA: 0s - loss: 1.4299e-06
 67/262 [======>.......................] - ETA: 0s - loss: 1.7397e-06
105/262 [===========>..................] - ETA: 0s - loss: 2.3355e-06
144/262 [===============>..............] - ETA: 0s - loss: 1.9067e-06
184/262 [====================>.........] - ETA: 0s - loss: 2.0894e-06
224/262 [========================>.....] - ETA: 0s - loss: 1.7794e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.6357e-06
    1131. 

  1131. Epoch 8/10
    1132. 

  1132. 
  1/262 [..............................] - ETA: 0s - loss: 4.4382e-07
 41/262 [===>..........................] - ETA: 0s - loss: 7.6134e-07
 80/262 [========>.....................] - ETA: 0s - loss: 8.1706e-07
120/262 [============>.................] - ETA: 0s - loss: 1.0829e-06
160/262 [=================>............] - ETA: 0s - loss: 8.8362e-07
200/262 [=====================>........] - ETA: 0s - loss: 1.6427e-06
240/262 [==========================>...] - ETA: 0s - loss: 1.5697e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.4562e-06
    1133. 

  1133. Epoch 9/10
    1134. 

  1134. 
  1/262 [..............................] - ETA: 0s - loss: 2.1306e-07
 41/262 [===>..........................] - ETA: 0s - loss: 5.1755e-07
 80/262 [========>.....................] - ETA: 0s - loss: 4.0037e-07
120/262 [============>.................] - ETA: 0s - loss: 4.0166e-07
160/262 [=================>............] - ETA: 0s - loss: 4.1009e-07
200/262 [=====================>........] - ETA: 0s - loss: 1.1040e-06
238/262 [==========================>...] - ETA: 0s - loss: 1.1844e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.1962e-06
    1135. 

  1135. Epoch 10/10
    1136. 

  1136. 
  1/262 [..............................] - ETA: 0s - loss: 1.5000e-07
 38/262 [===>..........................] - ETA: 0s - loss: 6.2019e-07
 78/262 [=======>......................] - ETA: 0s - loss: 9.5016e-07
117/262 [============>.................] - ETA: 0s - loss: 7.4498e-07
155/262 [================>.............] - ETA: 0s - loss: 6.8791e-07
194/262 [=====================>........] - ETA: 0s - loss: 7.0371e-07
232/262 [=========================>....] - ETA: 0s - loss: 6.1105e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.1396e-06
    1137. 

  1137. -> test with GAN.predict
    1138. 

  1138. GAN tn, fp: 651, 0
    1139. 

  1139. GAN fn, tp: 0, 9
    1140. 

  1140. GAN f1 score: 1.000
    1141. 

  1141. GAN cohens kappa score: 1.000
    1142. 

  1142. 

  1143. -> test with 'LR'
    1144. 

  1144. LR tn, fp: 650, 1
    1145. 

  1145. LR fn, tp: 0, 9
    1146. 

  1146. LR f1 score: 0.947
    1147. 

  1147. LR cohens kappa score: 0.947
    1148. 

  1148. LR average precision score: 1.000
    1149. 

  1149. 

  1150. -> test with 'RF'
    1151. 

  1151. RF tn, fp: 651, 0
    1152. 

  1152. RF fn, tp: 0, 9
    1153. 

  1153. RF f1 score: 1.000
    1154. 

  1154. RF cohens kappa score: 1.000
    1155. 

  1155. 

  1156. -> test with 'GB'
    1157. 

  1157. GB tn, fp: 651, 0
    1158. 

  1158. GB fn, tp: 0, 9
    1159. 

  1159. GB f1 score: 1.000
    1160. 

  1160. GB cohens kappa score: 1.000
    1161. 

  1161. 

  1162. -> test with 'KNN'
    1163. 

  1163. KNN tn, fp: 650, 1
    1164. 

  1164. KNN fn, tp: 0, 9
    1165. 

  1165. KNN f1 score: 0.947
    1166. 

  1166. KNN cohens kappa score: 0.947
    1167. 

  1167. 

  1168. 

  1169. ====== Step 5/5 =======
    1170. 

  1170. -> Shuffling data
    1171. 

  1171. -> Spliting data to slices
    1172. 

  1172. 

  1173. ------ Step 5/5: Slice 1/5 -------
    1174. 

  1174. -> Reset the GAN
    1175. 

  1175. -> Train generator for synthetic samples
    1176. 

  1176. -> create 2574 synthetic samples
    1177. 

  1177. -> retrain GAN for predict
    1178. 

  1178. Epoch 1/10
    1179. 

  1179. 
  1/262 [..............................] - ETA: 51s - loss: 0.4141
 38/262 [===>..........................] - ETA: 0s - loss: 0.3612 
 75/262 [=======>......................] - ETA: 0s - loss: 0.1833
110/262 [===========>..................] - ETA: 0s - loss: 0.1250
146/262 [===============>..............] - ETA: 0s - loss: 0.0942
180/262 [===================>..........] - ETA: 0s - loss: 0.0764
216/262 [=======================>......] - ETA: 0s - loss: 0.0637
252/262 [===========================>..] - ETA: 0s - loss: 0.0546
262/262 [==============================] - 1s 1ms/step - loss: 0.0527
    1180. 

  1180. Epoch 2/10
    1181. 

  1181. 
  1/262 [..............................] - ETA: 0s - loss: 1.4989e-05
 36/262 [===>..........................] - ETA: 0s - loss: 2.6812e-05
 72/262 [=======>......................] - ETA: 0s - loss: 2.6534e-05
107/262 [===========>..................] - ETA: 0s - loss: 2.5280e-05
143/262 [===============>..............] - ETA: 0s - loss: 2.7570e-05
180/262 [===================>..........] - ETA: 0s - loss: 2.5846e-05
216/262 [=======================>......] - ETA: 0s - loss: 2.3467e-05
254/262 [============================>.] - ETA: 0s - loss: 2.1813e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.1444e-05
    1182. 

  1182. Epoch 3/10
    1183. 

  1183. 
  1/262 [..............................] - ETA: 0s - loss: 4.8508e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.5998e-05
 72/262 [=======>......................] - ETA: 0s - loss: 1.4673e-05
110/262 [===========>..................] - ETA: 0s - loss: 2.0008e-05
146/262 [===============>..............] - ETA: 0s - loss: 1.7766e-05
181/262 [===================>..........] - ETA: 0s - loss: 1.6910e-05
218/262 [=======================>......] - ETA: 0s - loss: 1.5710e-05
254/262 [============================>.] - ETA: 0s - loss: 1.4787e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.4600e-05
    1184. 

  1184. Epoch 4/10
    1185. 

  1185. 
  1/262 [..............................] - ETA: 0s - loss: 1.7986e-05
 37/262 [===>..........................] - ETA: 0s - loss: 1.2125e-05
 73/262 [=======>......................] - ETA: 0s - loss: 1.6234e-05
108/262 [===========>..................] - ETA: 0s - loss: 1.5355e-05
142/262 [===============>..............] - ETA: 0s - loss: 1.3755e-05
176/262 [===================>..........] - ETA: 0s - loss: 1.2374e-05
210/262 [=======================>......] - ETA: 0s - loss: 1.1618e-05
241/262 [==========================>...] - ETA: 0s - loss: 1.1354e-05
262/262 [==============================] - 0s 2ms/step - loss: 1.1309e-05
    1186. 

  1186. Epoch 5/10
    1187. 

  1187. 
  1/262 [..............................] - ETA: 0s - loss: 3.1372e-06
 35/262 [===>..........................] - ETA: 0s - loss: 8.1074e-06
 72/262 [=======>......................] - ETA: 0s - loss: 8.3420e-06
107/262 [===========>..................] - ETA: 0s - loss: 8.7885e-06
142/262 [===============>..............] - ETA: 0s - loss: 8.1475e-06
178/262 [===================>..........] - ETA: 0s - loss: 8.4598e-06
213/262 [=======================>......] - ETA: 0s - loss: 7.8342e-06
245/262 [===========================>..] - ETA: 0s - loss: 9.3384e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.2162e-06
    1188. 

  1188. Epoch 6/10
    1189. 

  1189. 
  1/262 [..............................] - ETA: 0s - loss: 5.6809e-06
 37/262 [===>..........................] - ETA: 0s - loss: 7.9702e-06
 73/262 [=======>......................] - ETA: 0s - loss: 1.0988e-05
108/262 [===========>..................] - ETA: 0s - loss: 9.7746e-06
145/262 [===============>..............] - ETA: 0s - loss: 9.4486e-06
181/262 [===================>..........] - ETA: 0s - loss: 8.8253e-06
217/262 [=======================>......] - ETA: 0s - loss: 8.4487e-06
253/262 [===========================>..] - ETA: 0s - loss: 7.8273e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.7198e-06
    1190. 

  1190. Epoch 7/10
    1191. 

  1191. 
  1/262 [..............................] - ETA: 0s - loss: 2.3180e-06
 37/262 [===>..........................] - ETA: 0s - loss: 5.6516e-06
 72/262 [=======>......................] - ETA: 0s - loss: 5.9849e-06
108/262 [===========>..................] - ETA: 0s - loss: 8.2573e-06
144/262 [===============>..............] - ETA: 0s - loss: 7.4407e-06
181/262 [===================>..........] - ETA: 0s - loss: 7.2075e-06
218/262 [=======================>......] - ETA: 0s - loss: 6.7552e-06
254/262 [============================>.] - ETA: 0s - loss: 6.7681e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.6962e-06
    1192. 

  1192. Epoch 8/10
    1193. 

  1193. 
  1/262 [..............................] - ETA: 0s - loss: 2.1350e-06
 37/262 [===>..........................] - ETA: 0s - loss: 4.8333e-06
 74/262 [=======>......................] - ETA: 0s - loss: 4.9299e-06
109/262 [===========>..................] - ETA: 0s - loss: 4.7866e-06
145/262 [===============>..............] - ETA: 0s - loss: 6.8344e-06
180/262 [===================>..........] - ETA: 0s - loss: 6.5582e-06
216/262 [=======================>......] - ETA: 0s - loss: 6.1577e-06
252/262 [===========================>..] - ETA: 0s - loss: 5.9742e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.8576e-06
    1194. 

  1194. Epoch 9/10
    1195. 

  1195. 
  1/262 [..............................] - ETA: 0s - loss: 8.9025e-07
 37/262 [===>..........................] - ETA: 0s - loss: 3.0277e-06
 72/262 [=======>......................] - ETA: 0s - loss: 2.8357e-06
107/262 [===========>..................] - ETA: 0s - loss: 3.1850e-06
142/262 [===============>..............] - ETA: 0s - loss: 5.3280e-06
178/262 [===================>..........] - ETA: 0s - loss: 5.1251e-06
213/262 [=======================>......] - ETA: 0s - loss: 5.1318e-06
250/262 [===========================>..] - ETA: 0s - loss: 4.9619e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.9862e-06
    1196. 

  1196. Epoch 10/10
    1197. 

  1197. 
  1/262 [..............................] - ETA: 0s - loss: 8.2423e-07
 37/262 [===>..........................] - ETA: 0s - loss: 5.3256e-06
 72/262 [=======>......................] - ETA: 0s - loss: 4.0205e-06
103/262 [==========>...................] - ETA: 0s - loss: 3.5178e-06
133/262 [==============>...............] - ETA: 0s - loss: 3.3649e-06
166/262 [==================>...........] - ETA: 0s - loss: 3.0790e-06
199/262 [=====================>........] - ETA: 0s - loss: 3.3526e-06
235/262 [=========================>....] - ETA: 0s - loss: 4.3405e-06
262/262 [==============================] - 0s 2ms/step - loss: 4.2623e-06
    1198. 

  1198. -> test with GAN.predict
    1199. 

  1199. GAN tn, fp: 654, 0
    1200. 

  1200. GAN fn, tp: 0, 10
    1201. 

  1201. GAN f1 score: 1.000
    1202. 

  1202. GAN cohens kappa score: 1.000
    1203. 

  1203. 

  1204. -> test with 'LR'
    1205. 

  1205. LR tn, fp: 654, 0
    1206. 

  1206. LR fn, tp: 0, 10
    1207. 

  1207. LR f1 score: 1.000
    1208. 

  1208. LR cohens kappa score: 1.000
    1209. 

  1209. LR average precision score: 1.000
    1210. 

  1210. 

  1211. -> test with 'RF'
    1212. 

  1212. RF tn, fp: 654, 0
    1213. 

  1213. RF fn, tp: 0, 10
    1214. 

  1214. RF f1 score: 1.000
    1215. 

  1215. RF cohens kappa score: 1.000
    1216. 

  1216. 

  1217. -> test with 'GB'
    1218. 

  1218. GB tn, fp: 654, 0
    1219. 

  1219. GB fn, tp: 0, 10
    1220. 

  1220. GB f1 score: 1.000
    1221. 

  1221. GB cohens kappa score: 1.000
    1222. 

  1222. 

  1223. -> test with 'KNN'
    1224. 

  1224. KNN tn, fp: 653, 1
    1225. 

  1225. KNN fn, tp: 0, 10
    1226. 

  1226. KNN f1 score: 0.952
    1227. 

  1227. KNN cohens kappa score: 0.952
    1228. 

  1228. 

  1229. 

  1230. ------ Step 5/5: Slice 2/5 -------
    1231. 

  1231. -> Reset the GAN
    1232. 

  1232. -> Train generator for synthetic samples
    1233. 

  1233. -> create 2574 synthetic samples
    1234. 

  1234. -> retrain GAN for predict
    1235. 

  1235. Epoch 1/10
    1236. 

  1236. 
  1/262 [..............................] - ETA: 52s - loss: 5.6583e-08
 39/262 [===>..........................] - ETA: 0s - loss: 0.0882     
 76/262 [=======>......................] - ETA: 0s - loss: 0.0834
114/262 [============>.................] - ETA: 0s - loss: 0.0557
151/262 [================>.............] - ETA: 0s - loss: 0.0422
187/262 [====================>.........] - ETA: 0s - loss: 0.0341
223/262 [========================>.....] - ETA: 0s - loss: 0.0286
257/262 [============================>.] - ETA: 0s - loss: 0.0248
262/262 [==============================] - 1s 1ms/step - loss: 0.0244
    1237. 

  1237. Epoch 2/10
    1238. 

  1238. 
  1/262 [..............................] - ETA: 0s - loss: 1.4909e-05
 33/262 [==>...........................] - ETA: 0s - loss: 2.4963e-05
 62/262 [======>.......................] - ETA: 0s - loss: 2.0465e-05
 92/262 [=========>....................] - ETA: 0s - loss: 3.4596e-05
119/262 [============>.................] - ETA: 0s - loss: 3.2284e-05
154/262 [================>.............] - ETA: 0s - loss: 2.8796e-05
190/262 [====================>.........] - ETA: 0s - loss: 3.7405e-05
224/262 [========================>.....] - ETA: 0s - loss: 3.6457e-05
259/262 [============================>.] - ETA: 0s - loss: 3.3628e-05
262/262 [==============================] - 0s 2ms/step - loss: 3.3399e-05
    1239. 

  1239. Epoch 3/10
    1240. 

  1240. 
  1/262 [..............................] - ETA: 0s - loss: 1.2111e-05
 36/262 [===>..........................] - ETA: 0s - loss: 3.1083e-05
 71/262 [=======>......................] - ETA: 0s - loss: 2.1632e-05
107/262 [===========>..................] - ETA: 0s - loss: 3.1434e-05
142/262 [===============>..............] - ETA: 0s - loss: 2.7464e-05
178/262 [===================>..........] - ETA: 0s - loss: 2.4408e-05
211/262 [=======================>......] - ETA: 0s - loss: 2.2116e-05
246/262 [===========================>..] - ETA: 0s - loss: 2.0160e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.9455e-05
    1241. 

  1241. Epoch 4/10
    1242. 

  1242. 
  1/262 [..............................] - ETA: 0s - loss: 4.2561e-06
 37/262 [===>..........................] - ETA: 0s - loss: 5.3947e-06
 73/262 [=======>......................] - ETA: 0s - loss: 5.5627e-06
107/262 [===========>..................] - ETA: 0s - loss: 5.5027e-06
143/262 [===============>..............] - ETA: 0s - loss: 5.3155e-06
177/262 [===================>..........] - ETA: 0s - loss: 1.0626e-05
213/262 [=======================>......] - ETA: 0s - loss: 1.5170e-05
248/262 [===========================>..] - ETA: 0s - loss: 1.5130e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.4774e-05
    1243. 

  1243. Epoch 5/10
    1244. 

  1244. 
  1/262 [..............................] - ETA: 0s - loss: 1.4165e-05
 37/262 [===>..........................] - ETA: 0s - loss: 8.2929e-06
 74/262 [=======>......................] - ETA: 0s - loss: 7.1409e-06
111/262 [===========>..................] - ETA: 0s - loss: 1.1964e-05
148/262 [===============>..............] - ETA: 0s - loss: 1.0764e-05
184/262 [====================>.........] - ETA: 0s - loss: 1.6392e-05
220/262 [========================>.....] - ETA: 0s - loss: 1.5935e-05
256/262 [============================>.] - ETA: 0s - loss: 1.4965e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.4794e-05
    1245. 

  1245. Epoch 6/10
    1246. 

  1246. 
  1/262 [..............................] - ETA: 0s - loss: 2.2411e-06
 37/262 [===>..........................] - ETA: 0s - loss: 5.5193e-06
 72/262 [=======>......................] - ETA: 0s - loss: 1.0934e-05
108/262 [===========>..................] - ETA: 0s - loss: 9.0928e-06
144/262 [===============>..............] - ETA: 0s - loss: 7.9626e-06
180/262 [===================>..........] - ETA: 0s - loss: 1.4426e-05
215/262 [=======================>......] - ETA: 0s - loss: 1.3486e-05
251/262 [===========================>..] - ETA: 0s - loss: 1.2352e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.1955e-05
    1247. 

  1247. Epoch 7/10
    1248. 

  1248. 
  1/262 [..............................] - ETA: 0s - loss: 5.9987e-06
 37/262 [===>..........................] - ETA: 0s - loss: 3.7885e-06
 73/262 [=======>......................] - ETA: 0s - loss: 8.2615e-06
110/262 [===========>..................] - ETA: 0s - loss: 6.8676e-06
145/262 [===============>..............] - ETA: 0s - loss: 1.2956e-05
178/262 [===================>..........] - ETA: 0s - loss: 1.2036e-05
208/262 [======================>.......] - ETA: 0s - loss: 1.0948e-05
241/262 [==========================>...] - ETA: 0s - loss: 1.0063e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.5509e-06
    1249. 

  1249. Epoch 8/10
    1250. 

  1250. 
  1/262 [..............................] - ETA: 0s - loss: 1.4049e-06
 32/262 [==>...........................] - ETA: 0s - loss: 2.2723e-06
 67/262 [======>.......................] - ETA: 0s - loss: 2.9438e-06
104/262 [==========>...................] - ETA: 0s - loss: 2.8158e-06
140/262 [===============>..............] - ETA: 0s - loss: 2.5335e-06
176/262 [===================>..........] - ETA: 0s - loss: 4.9564e-06
212/262 [=======================>......] - ETA: 0s - loss: 4.7170e-06
248/262 [===========================>..] - ETA: 0s - loss: 7.8626e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.8343e-06
    1251. 

  1251. Epoch 9/10
    1252. 

  1252. 
  1/262 [..............................] - ETA: 0s - loss: 9.7735e-06
 36/262 [===>..........................] - ETA: 0s - loss: 4.6588e-06
 72/262 [=======>......................] - ETA: 0s - loss: 3.8640e-06
109/262 [===========>..................] - ETA: 0s - loss: 3.5340e-06
147/262 [===============>..............] - ETA: 0s - loss: 3.1698e-06
182/262 [===================>..........] - ETA: 0s - loss: 2.9328e-06
217/262 [=======================>......] - ETA: 0s - loss: 4.2070e-06
252/262 [===========================>..] - ETA: 0s - loss: 5.8903e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.9615e-06
    1253. 

  1253. Epoch 10/10
    1254. 

  1254. 
  1/262 [..............................] - ETA: 0s - loss: 1.2488e-05
 36/262 [===>..........................] - ETA: 0s - loss: 6.2142e-06
 73/262 [=======>......................] - ETA: 0s - loss: 4.8803e-06
110/262 [===========>..................] - ETA: 0s - loss: 4.0054e-06
147/262 [===============>..............] - ETA: 0s - loss: 3.4801e-06
183/262 [===================>..........] - ETA: 0s - loss: 7.7313e-06
218/262 [=======================>......] - ETA: 0s - loss: 8.2247e-06
252/262 [===========================>..] - ETA: 0s - loss: 7.4598e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.2853e-06
    1255. 

  1255. -> test with GAN.predict
    1256. 

  1256. GAN tn, fp: 654, 0
    1257. 

  1257. GAN fn, tp: 0, 10
    1258. 

  1258. GAN f1 score: 1.000
    1259. 

  1259. GAN cohens kappa score: 1.000
    1260. 

  1260. 

  1261. -> test with 'LR'
    1262. 

  1262. LR tn, fp: 654, 0
    1263. 

  1263. LR fn, tp: 0, 10
    1264. 

  1264. LR f1 score: 1.000
    1265. 

  1265. LR cohens kappa score: 1.000
    1266. 

  1266. LR average precision score: 1.000
    1267. 

  1267. 

  1268. -> test with 'RF'
    1269. 

  1269. RF tn, fp: 654, 0
    1270. 

  1270. RF fn, tp: 0, 10
    1271. 

  1271. RF f1 score: 1.000
    1272. 

  1272. RF cohens kappa score: 1.000
    1273. 

  1273. 

  1274. -> test with 'GB'
    1275. 

  1275. GB tn, fp: 654, 0
    1276. 

  1276. GB fn, tp: 0, 10
    1277. 

  1277. GB f1 score: 1.000
    1278. 

  1278. GB cohens kappa score: 1.000
    1279. 

  1279. 

  1280. -> test with 'KNN'
    1281. 

  1281. KNN tn, fp: 654, 0
    1282. 

  1282. KNN fn, tp: 0, 10
    1283. 

  1283. KNN f1 score: 1.000
    1284. 

  1284. KNN cohens kappa score: 1.000
    1285. 

  1285. 

  1286. 

  1287. ------ Step 5/5: Slice 3/5 -------
    1288. 

  1288. -> Reset the GAN
    1289. 

  1289. -> Train generator for synthetic samples
    1290. 

  1290. -> create 2574 synthetic samples
    1291. 

  1291. -> retrain GAN for predict
    1292. 

  1292. Epoch 1/10
    1293. 

  1293. 
  1/262 [..............................] - ETA: 2:58 - loss: 1.7940e-08
 16/262 [>.............................] - ETA: 0s - loss: 3.3741e-07  
 28/262 [==>...........................] - ETA: 0s - loss: 2.4631e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.1863    
 50/262 [====>.........................] - ETA: 0s - loss: 1.1002
 63/262 [======>.......................] - ETA: 0s - loss: 0.8734
 81/262 [========>.....................] - ETA: 0s - loss: 0.6793
 97/262 [==========>...................] - ETA: 0s - loss: 0.5682
111/262 [===========>..................] - ETA: 0s - loss: 0.4965
121/262 [============>.................] - ETA: 0s - loss: 0.4555
134/262 [==============>...............] - ETA: 0s - loss: 0.4113
145/262 [===============>..............] - ETA: 0s - loss: 0.3801
158/262 [=================>............] - ETA: 0s - loss: 0.3488
173/262 [==================>...........] - ETA: 0s - loss: 0.3186
185/262 [====================>.........] - ETA: 0s - loss: 0.2979
196/262 [=====================>........] - ETA: 0s - loss: 0.2812
204/262 [======================>.......] - ETA: 0s - loss: 0.2702
218/262 [=======================>......] - ETA: 0s - loss: 0.2528
228/262 [=========================>....] - ETA: 0s - loss: 0.2417
242/262 [==========================>...] - ETA: 0s - loss: 0.2277
255/262 [============================>.] - ETA: 0s - loss: 0.2161
262/262 [==============================] - 2s 4ms/step - loss: 0.2109
    1294. 

  1294. Epoch 2/10
    1295. 

  1295. 
  1/262 [..............................] - ETA: 1s - loss: 5.1738e-05
 17/262 [>.............................] - ETA: 0s - loss: 5.3734e-06
 30/262 [==>...........................] - ETA: 0s - loss: 4.1508e-06
 44/262 [====>.........................] - ETA: 0s - loss: 3.6080e-06
 58/262 [=====>........................] - ETA: 0s - loss: 3.2647e-06
 75/262 [=======>......................] - ETA: 0s - loss: 3.7873e-06
 88/262 [=========>....................] - ETA: 0s - loss: 3.6561e-06
104/262 [==========>...................] - ETA: 0s - loss: 3.5944e-06
116/262 [============>.................] - ETA: 0s - loss: 3.6106e-06
131/262 [==============>...............] - ETA: 0s - loss: 3.5077e-06
145/262 [===============>..............] - ETA: 0s - loss: 3.3437e-06
160/262 [=================>............] - ETA: 0s - loss: 3.2156e-06
173/262 [==================>...........] - ETA: 0s - loss: 3.0610e-06
184/262 [====================>.........] - ETA: 0s - loss: 2.9650e-06
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250/262 [===========================>..] - ETA: 0s - loss: 4.0412e-06
262/262 [==============================] - 1s 4ms/step - loss: 4.0303e-06
    1296. 

  1296. Epoch 3/10
    1297. 

  1297. 
  1/262 [..............................] - ETA: 0s - loss: 3.8242e-06
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261/262 [============================>.] - ETA: 0s - loss: 3.2024e-06
262/262 [==============================] - 1s 4ms/step - loss: 3.1998e-06
    1298. 

  1298. Epoch 4/10
    1299. 

  1299. 
  1/262 [..............................] - ETA: 1s - loss: 1.3872e-06
 15/262 [>.............................] - ETA: 0s - loss: 1.2587e-06
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257/262 [============================>.] - ETA: 0s - loss: 2.6192e-06
262/262 [==============================] - 1s 4ms/step - loss: 2.6538e-06
    1300. 

  1300. Epoch 5/10
    1301. 

  1301. 
  1/262 [..............................] - ETA: 0s - loss: 1.2216e-06
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262/262 [==============================] - ETA: 0s - loss: 2.2589e-06
262/262 [==============================] - 1s 4ms/step - loss: 2.2589e-06
    1302. 

  1302. Epoch 6/10
    1303. 

  1303. 
  1/262 [..............................] - ETA: 1s - loss: 8.1239e-07
 13/262 [>.............................] - ETA: 1s - loss: 2.2198e-06
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261/262 [============================>.] - ETA: 0s - loss: 1.8486e-06
262/262 [==============================] - 1s 5ms/step - loss: 1.8466e-06
    1304. 

  1304. Epoch 7/10
    1305. 

  1305. 
  1/262 [..............................] - ETA: 1s - loss: 9.6493e-07
 12/262 [>.............................] - ETA: 1s - loss: 8.2443e-07
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257/262 [============================>.] - ETA: 0s - loss: 1.7035e-06
262/262 [==============================] - 1s 5ms/step - loss: 1.6807e-06
    1306. 

  1306. Epoch 8/10
    1307. 

  1307. 
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259/262 [============================>.] - ETA: 0s - loss: 1.1753e-06
262/262 [==============================] - 1s 5ms/step - loss: 1.1668e-06
    1308. 

  1308. Epoch 9/10
    1309. 

  1309. 
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261/262 [============================>.] - ETA: 0s - loss: 1.5333e-06
262/262 [==============================] - 1s 5ms/step - loss: 1.5316e-06
    1310. 

  1310. Epoch 10/10
    1311. 

  1311. 
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 11/262 [>.............................] - ETA: 1s - loss: 3.9200e-07
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262/262 [==============================] - ETA: 0s - loss: 1.0404e-06
262/262 [==============================] - 1s 5ms/step - loss: 1.0404e-06
    1312. 

  1312. -> test with GAN.predict
    1313. 

  1313. GAN tn, fp: 654, 0
    1314. 

  1314. GAN fn, tp: 0, 10
    1315. 

  1315. GAN f1 score: 1.000
    1316. 

  1316. GAN cohens kappa score: 1.000
    1317. 

  1317. 

  1318. -> test with 'LR'
    1319. 

  1319. LR tn, fp: 654, 0
    1320. 

  1320. LR fn, tp: 0, 10
    1321. 

  1321. LR f1 score: 1.000
    1322. 

  1322. LR cohens kappa score: 1.000
    1323. 

  1323. LR average precision score: 1.000
    1324. 

  1324. 

  1325. -> test with 'RF'
    1326. 

  1326. RF tn, fp: 654, 0
    1327. 

  1327. RF fn, tp: 0, 10
    1328. 

  1328. RF f1 score: 1.000
    1329. 

  1329. RF cohens kappa score: 1.000
    1330. 

  1330. 

  1331. -> test with 'GB'
    1332. 

  1332. GB tn, fp: 654, 0
    1333. 

  1333. GB fn, tp: 0, 10
    1334. 

  1334. GB f1 score: 1.000
    1335. 

  1335. GB cohens kappa score: 1.000
    1336. 

  1336. 

  1337. -> test with 'KNN'
    1338. 

  1338. KNN tn, fp: 650, 4
    1339. 

  1339. KNN fn, tp: 2, 8
    1340. 

  1340. KNN f1 score: 0.727
    1341. 

  1341. KNN cohens kappa score: 0.723
    1342. 

  1342. 

  1343. 

  1344. ------ Step 5/5: Slice 4/5 -------
    1345. 

  1345. -> Reset the GAN
    1346. 

  1346. -> Train generator for synthetic samples
    1347. 

  1347. -> create 2574 synthetic samples
    1348. 

  1348. -> retrain GAN for predict
    1349. 

  1349. Epoch 1/10
    1350. 

  1350. 
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259/262 [============================>.] - ETA: 0s - loss: 0.1701
262/262 [==============================] - 2s 6ms/step - loss: 0.1686
    1351. 

  1351. Epoch 2/10
    1352. 

  1352. 
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258/262 [============================>.] - ETA: 0s - loss: 1.1453e-05
262/262 [==============================] - 1s 5ms/step - loss: 1.1355e-05
    1353. 

  1353. Epoch 3/10
    1354. 

  1354. 
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253/262 [===========================>..] - ETA: 0s - loss: 6.4848e-06
262/262 [==============================] - 1s 5ms/step - loss: 6.3950e-06
    1355. 

  1355. Epoch 4/10
    1356. 

  1356. 
  1/262 [..............................] - ETA: 1s - loss: 1.8222e-06
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254/262 [============================>.] - ETA: 0s - loss: 4.7407e-06
262/262 [==============================] - 1s 5ms/step - loss: 4.7115e-06
    1357. 

  1357. Epoch 5/10
    1358. 

  1358. 
  1/262 [..............................] - ETA: 0s - loss: 4.3846e-06
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249/262 [===========================>..] - ETA: 0s - loss: 3.8451e-06
262/262 [==============================] - 1s 4ms/step - loss: 3.7959e-06
    1359. 

  1359. Epoch 6/10
    1360. 

  1360. 
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262/262 [==============================] - ETA: 0s - loss: 3.0671e-06
262/262 [==============================] - 1s 4ms/step - loss: 3.0671e-06
    1361. 

  1361. Epoch 7/10
    1362. 

  1362. 
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251/262 [===========================>..] - ETA: 0s - loss: 2.4629e-06
262/262 [==============================] - 1s 4ms/step - loss: 2.4272e-06
    1363. 

  1363. Epoch 8/10
    1364. 

  1364. 
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258/262 [============================>.] - ETA: 0s - loss: 2.4153e-06
262/262 [==============================] - 1s 4ms/step - loss: 2.4627e-06
    1365. 

  1365. Epoch 9/10
    1366. 

  1366. 
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259/262 [============================>.] - ETA: 0s - loss: 1.8403e-06
262/262 [==============================] - 1s 4ms/step - loss: 1.8391e-06
    1367. 

  1367. Epoch 10/10
    1368. 

  1368. 
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258/262 [============================>.] - ETA: 0s - loss: 1.5613e-06
262/262 [==============================] - 1s 4ms/step - loss: 1.5659e-06
    1369. 

  1369. -> test with GAN.predict
    1370. 

  1370. GAN tn, fp: 654, 0
    1371. 

  1371. GAN fn, tp: 0, 10
    1372. 

  1372. GAN f1 score: 1.000
    1373. 

  1373. GAN cohens kappa score: 1.000
    1374. 

  1374. 

  1375. -> test with 'LR'
    1376. 

  1376. LR tn, fp: 654, 0
    1377. 

  1377. LR fn, tp: 0, 10
    1378. 

  1378. LR f1 score: 1.000
    1379. 

  1379. LR cohens kappa score: 1.000
    1380. 

  1380. LR average precision score: 1.000
    1381. 

  1381. 

  1382. -> test with 'RF'
    1383. 

  1383. RF tn, fp: 654, 0
    1384. 

  1384. RF fn, tp: 0, 10
    1385. 

  1385. RF f1 score: 1.000
    1386. 

  1386. RF cohens kappa score: 1.000
    1387. 

  1387. 

  1388. -> test with 'GB'
    1389. 

  1389. GB tn, fp: 654, 0
    1390. 

  1390. GB fn, tp: 0, 10
    1391. 

  1391. GB f1 score: 1.000
    1392. 

  1392. GB cohens kappa score: 1.000
    1393. 

  1393. 

  1394. -> test with 'KNN'
    1395. 

  1395. KNN tn, fp: 654, 0
    1396. 

  1396. KNN fn, tp: 0, 10
    1397. 

  1397. KNN f1 score: 1.000
    1398. 

  1398. KNN cohens kappa score: 1.000
    1399. 

  1399. 

  1400. 

  1401. ------ Step 5/5: Slice 5/5 -------
    1402. 

  1402. -> Reset the GAN
    1403. 

  1403. -> Train generator for synthetic samples
    1404. 

  1404. -> create 2576 synthetic samples
    1405. 

  1405. -> retrain GAN for predict
    1406. 

  1406. Epoch 1/10
    1407. 

  1407. 
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260/262 [============================>.] - ETA: 0s - loss: 0.0468
262/262 [==============================] - 2s 5ms/step - loss: 0.0466
    1408. 

  1408. Epoch 2/10
    1409. 

  1409. 
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262/262 [==============================] - 1s 5ms/step - loss: 7.1609e-06
    1410. 

  1410. Epoch 3/10
    1411. 

  1411. 
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260/262 [============================>.] - ETA: 0s - loss: 4.9569e-06
262/262 [==============================] - 1s 5ms/step - loss: 4.9344e-06
    1412. 

  1412. Epoch 4/10
    1413. 

  1413. 
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245/262 [===========================>..] - ETA: 0s - loss: 3.8855e-06
258/262 [============================>.] - ETA: 0s - loss: 3.8256e-06
262/262 [==============================] - 1s 5ms/step - loss: 3.7754e-06
    1414. 

  1414. Epoch 5/10
    1415. 

  1415. 
  1/262 [..............................] - ETA: 1s - loss: 2.0786e-07
 13/262 [>.............................] - ETA: 1s - loss: 2.0782e-06
 24/262 [=>............................] - ETA: 1s - loss: 1.8062e-06
 37/262 [===>..........................] - ETA: 1s - loss: 1.9288e-06
 48/262 [====>.........................] - ETA: 0s - loss: 1.9738e-06
 63/262 [======>.......................] - ETA: 0s - loss: 1.9354e-06
 76/262 [=======>......................] - ETA: 0s - loss: 1.7337e-06
 87/262 [========>.....................] - ETA: 0s - loss: 4.0893e-06
 97/262 [==========>...................] - ETA: 0s - loss: 3.8573e-06
108/262 [===========>..................] - ETA: 0s - loss: 3.7429e-06
122/262 [============>.................] - ETA: 0s - loss: 3.3973e-06
134/262 [==============>...............] - ETA: 0s - loss: 3.3665e-06
147/262 [===============>..............] - ETA: 0s - loss: 3.0915e-06
158/262 [=================>............] - ETA: 0s - loss: 2.9751e-06
171/262 [==================>...........] - ETA: 0s - loss: 2.9748e-06
183/262 [===================>..........] - ETA: 0s - loss: 2.9384e-06
192/262 [====================>.........] - ETA: 0s - loss: 2.9028e-06
204/262 [======================>.......] - ETA: 0s - loss: 2.7511e-06
216/262 [=======================>......] - ETA: 0s - loss: 2.6864e-06
226/262 [========================>.....] - ETA: 0s - loss: 2.6490e-06
238/262 [==========================>...] - ETA: 0s - loss: 2.5747e-06
250/262 [===========================>..] - ETA: 0s - loss: 2.5205e-06
262/262 [==============================] - 1s 4ms/step - loss: 3.0734e-06
    1416. 

  1416. Epoch 6/10
    1417. 

  1417. 
  1/262 [..............................] - ETA: 1s - loss: 6.5187e-08
 11/262 [>.............................] - ETA: 1s - loss: 2.1097e-06
 27/262 [==>...........................] - ETA: 0s - loss: 1.1021e-06
 37/262 [===>..........................] - ETA: 0s - loss: 1.1622e-06
 45/262 [====>.........................] - ETA: 1s - loss: 1.2420e-06
 54/262 [=====>........................] - ETA: 1s - loss: 1.1437e-06
 63/262 [======>.......................] - ETA: 1s - loss: 1.1312e-06
 74/262 [=======>......................] - ETA: 0s - loss: 1.1239e-06
 82/262 [========>.....................] - ETA: 0s - loss: 1.0926e-06
 94/262 [=========>....................] - ETA: 0s - loss: 1.1512e-06
106/262 [===========>..................] - ETA: 0s - loss: 1.1393e-06
123/262 [=============>................] - ETA: 0s - loss: 1.1951e-06
131/262 [==============>...............] - ETA: 0s - loss: 1.3089e-06
140/262 [===============>..............] - ETA: 0s - loss: 1.4347e-06
149/262 [================>.............] - ETA: 0s - loss: 1.4337e-06
158/262 [=================>............] - ETA: 0s - loss: 1.3669e-06
169/262 [==================>...........] - ETA: 0s - loss: 1.3319e-06
177/262 [===================>..........] - ETA: 0s - loss: 1.5356e-06
186/262 [====================>.........] - ETA: 0s - loss: 1.5657e-06
193/262 [=====================>........] - ETA: 0s - loss: 1.5870e-06
202/262 [======================>.......] - ETA: 0s - loss: 1.5808e-06
214/262 [=======================>......] - ETA: 0s - loss: 2.6963e-06
221/262 [========================>.....] - ETA: 0s - loss: 2.7427e-06
232/262 [=========================>....] - ETA: 0s - loss: 2.6553e-06
244/262 [==========================>...] - ETA: 0s - loss: 2.5908e-06
252/262 [===========================>..] - ETA: 0s - loss: 2.6108e-06
261/262 [============================>.] - ETA: 0s - loss: 2.5365e-06
262/262 [==============================] - 1s 5ms/step - loss: 2.5326e-06
    1418. 

  1418. Epoch 7/10
    1419. 

  1419. 
  1/262 [..............................] - ETA: 1s - loss: 1.9196e-07
 11/262 [>.............................] - ETA: 1s - loss: 2.1757e-06
 18/262 [=>............................] - ETA: 1s - loss: 1.6646e-06
 27/262 [==>...........................] - ETA: 1s - loss: 1.9431e-06
 35/262 [===>..........................] - ETA: 1s - loss: 2.1299e-06
 44/262 [====>.........................] - ETA: 1s - loss: 1.8522e-06
 52/262 [====>.........................] - ETA: 1s - loss: 2.1727e-06
 58/262 [=====>........................] - ETA: 1s - loss: 2.0034e-06
 67/262 [======>.......................] - ETA: 1s - loss: 3.1314e-06
 80/262 [========>.....................] - ETA: 1s - loss: 2.7830e-06
 90/262 [=========>....................] - ETA: 1s - loss: 2.6183e-06
101/262 [==========>...................] - ETA: 0s - loss: 2.4547e-06
110/262 [===========>..................] - ETA: 0s - loss: 2.2958e-06
124/262 [=============>................] - ETA: 0s - loss: 2.3063e-06
136/262 [==============>...............] - ETA: 0s - loss: 2.2165e-06
143/262 [===============>..............] - ETA: 0s - loss: 2.1190e-06
153/262 [================>.............] - ETA: 0s - loss: 2.0609e-06
162/262 [=================>............] - ETA: 0s - loss: 2.0178e-06
171/262 [==================>...........] - ETA: 0s - loss: 1.9672e-06
182/262 [===================>..........] - ETA: 0s - loss: 1.9044e-06
191/262 [====================>.........] - ETA: 0s - loss: 2.5576e-06
200/262 [=====================>........] - ETA: 0s - loss: 2.5091e-06
209/262 [======================>.......] - ETA: 0s - loss: 2.4146e-06
219/262 [========================>.....] - ETA: 0s - loss: 2.3385e-06
228/262 [=========================>....] - ETA: 0s - loss: 2.2636e-06
236/262 [==========================>...] - ETA: 0s - loss: 2.2341e-06
251/262 [===========================>..] - ETA: 0s - loss: 2.1595e-06
259/262 [============================>.] - ETA: 0s - loss: 2.1233e-06
262/262 [==============================] - 1s 5ms/step - loss: 2.1144e-06
    1420. 

  1420. Epoch 8/10
    1421. 

  1421. 
  1/262 [..............................] - ETA: 0s - loss: 4.9191e-07
 13/262 [>.............................] - ETA: 1s - loss: 1.0032e-05
 20/262 [=>............................] - ETA: 1s - loss: 7.1825e-06
 26/262 [=>............................] - ETA: 1s - loss: 5.8306e-06
 36/262 [===>..........................] - ETA: 1s - loss: 6.5970e-06
 47/262 [====>.........................] - ETA: 1s - loss: 5.4297e-06
 55/262 [=====>........................] - ETA: 1s - loss: 4.8055e-06
 66/262 [======>.......................] - ETA: 1s - loss: 4.1941e-06
 77/262 [=======>......................] - ETA: 1s - loss: 3.7513e-06
 86/262 [========>.....................] - ETA: 1s - loss: 3.4999e-06
 94/262 [=========>....................] - ETA: 0s - loss: 3.2674e-06
105/262 [===========>..................] - ETA: 0s - loss: 3.0296e-06
114/262 [============>.................] - ETA: 0s - loss: 2.8072e-06
123/262 [=============>................] - ETA: 0s - loss: 2.6553e-06
134/262 [==============>...............] - ETA: 0s - loss: 2.4877e-06
142/262 [===============>..............] - ETA: 0s - loss: 2.4028e-06
151/262 [================>.............] - ETA: 0s - loss: 2.2953e-06
157/262 [================>.............] - ETA: 0s - loss: 2.2370e-06
167/262 [==================>...........] - ETA: 0s - loss: 2.1877e-06
179/262 [===================>..........] - ETA: 0s - loss: 2.0934e-06
190/262 [====================>.........] - ETA: 0s - loss: 2.1163e-06
201/262 [======================>.......] - ETA: 0s - loss: 2.0345e-06
209/262 [======================>.......] - ETA: 0s - loss: 2.0330e-06
218/262 [=======================>......] - ETA: 0s - loss: 1.9595e-06
229/262 [=========================>....] - ETA: 0s - loss: 1.8977e-06
237/262 [==========================>...] - ETA: 0s - loss: 1.8583e-06
246/262 [===========================>..] - ETA: 0s - loss: 1.8200e-06
254/262 [============================>.] - ETA: 0s - loss: 1.7966e-06
262/262 [==============================] - 1s 6ms/step - loss: 1.7650e-06
    1422. 

  1422. Epoch 9/10
    1423. 

  1423. 
  1/262 [..............................] - ETA: 2s - loss: 3.2838e-08
  7/262 [..............................] - ETA: 2s - loss: 1.0193e-07
 20/262 [=>............................] - ETA: 1s - loss: 3.6637e-06
 29/262 [==>...........................] - ETA: 1s - loss: 2.7746e-06
 42/262 [===>..........................] - ETA: 1s - loss: 1.9745e-06
 52/262 [====>.........................] - ETA: 1s - loss: 2.0529e-06
 60/262 [=====>........................] - ETA: 1s - loss: 2.0854e-06
 71/262 [=======>......................] - ETA: 1s - loss: 2.1616e-06
 80/262 [========>.....................] - ETA: 1s - loss: 1.9558e-06
 93/262 [=========>....................] - ETA: 0s - loss: 1.7329e-06
102/262 [==========>...................] - ETA: 0s - loss: 1.6529e-06
110/262 [===========>..................] - ETA: 0s - loss: 1.5747e-06
116/262 [============>.................] - ETA: 0s - loss: 1.4995e-06
123/262 [=============>................] - ETA: 0s - loss: 1.4502e-06
132/262 [==============>...............] - ETA: 0s - loss: 1.4080e-06
143/262 [===============>..............] - ETA: 0s - loss: 1.3270e-06
148/262 [===============>..............] - ETA: 0s - loss: 1.3064e-06
155/262 [================>.............] - ETA: 0s - loss: 1.2782e-06
161/262 [=================>............] - ETA: 0s - loss: 1.2546e-06
170/262 [==================>...........] - ETA: 0s - loss: 1.2376e-06
175/262 [===================>..........] - ETA: 0s - loss: 1.8474e-06
182/262 [===================>..........] - ETA: 0s - loss: 1.8201e-06
189/262 [====================>.........] - ETA: 0s - loss: 1.8028e-06
197/262 [=====================>........] - ETA: 0s - loss: 1.7525e-06
207/262 [======================>.......] - ETA: 0s - loss: 1.7711e-06
217/262 [=======================>......] - ETA: 0s - loss: 1.7754e-06
226/262 [========================>.....] - ETA: 0s - loss: 1.7290e-06
239/262 [==========================>...] - ETA: 0s - loss: 1.6904e-06
246/262 [===========================>..] - ETA: 0s - loss: 1.6691e-06
254/262 [============================>.] - ETA: 0s - loss: 1.6242e-06
262/262 [==============================] - 2s 6ms/step - loss: 1.6066e-06
    1424. 

  1424. Epoch 10/10
    1425. 

  1425. 
  1/262 [..............................] - ETA: 1s - loss: 6.2813e-08
  9/262 [>.............................] - ETA: 1s - loss: 7.3936e-07
 21/262 [=>............................] - ETA: 1s - loss: 6.0791e-07
 28/262 [==>...........................] - ETA: 1s - loss: 6.1122e-07
 41/262 [===>..........................] - ETA: 1s - loss: 4.6717e-07
 50/262 [====>.........................] - ETA: 1s - loss: 4.9247e-07
 61/262 [=====>........................] - ETA: 1s - loss: 7.5203e-07
 70/262 [=======>......................] - ETA: 1s - loss: 6.9703e-07
 80/262 [========>.....................] - ETA: 0s - loss: 6.7334e-07
 90/262 [=========>....................] - ETA: 0s - loss: 7.6522e-07
 99/262 [==========>...................] - ETA: 0s - loss: 7.1364e-07
106/262 [===========>..................] - ETA: 0s - loss: 7.7366e-07
119/262 [============>.................] - ETA: 0s - loss: 1.6183e-06
128/262 [=============>................] - ETA: 0s - loss: 1.5738e-06
137/262 [==============>...............] - ETA: 0s - loss: 1.5553e-06
145/262 [===============>..............] - ETA: 0s - loss: 1.5427e-06
153/262 [================>.............] - ETA: 0s - loss: 1.5217e-06
162/262 [=================>............] - ETA: 0s - loss: 1.4867e-06
170/262 [==================>...........] - ETA: 0s - loss: 1.4249e-06
179/262 [===================>..........] - ETA: 0s - loss: 1.3703e-06
187/262 [====================>.........] - ETA: 0s - loss: 1.3533e-06
195/262 [=====================>........] - ETA: 0s - loss: 1.3188e-06
202/262 [======================>.......] - ETA: 0s - loss: 1.2959e-06
209/262 [======================>.......] - ETA: 0s - loss: 1.2590e-06
216/262 [=======================>......] - ETA: 0s - loss: 1.2334e-06
227/262 [========================>.....] - ETA: 0s - loss: 1.1965e-06
236/262 [==========================>...] - ETA: 0s - loss: 1.1949e-06
246/262 [===========================>..] - ETA: 0s - loss: 1.3681e-06
252/262 [===========================>..] - ETA: 0s - loss: 1.3675e-06
259/262 [============================>.] - ETA: 0s - loss: 1.3520e-06
262/262 [==============================] - 2s 6ms/step - loss: 1.3417e-06
    1426. 

  1426. -> test with GAN.predict
    1427. 

  1427. GAN tn, fp: 651, 0
    1428. 

  1428. GAN fn, tp: 0, 9
    1429. 

  1429. GAN f1 score: 1.000
    1430. 

  1430. GAN cohens kappa score: 1.000
    1431. 

  1431. 

  1432. -> test with 'LR'
    1433. 

  1433. LR tn, fp: 651, 0
    1434. 

  1434. LR fn, tp: 0, 9
    1435. 

  1435. LR f1 score: 1.000
    1436. 

  1436. LR cohens kappa score: 1.000
    1437. 

  1437. LR average precision score: 1.000
    1438. 

  1438. 

  1439. -> test with 'RF'
    1440. 

  1440. RF tn, fp: 651, 0
    1441. 

  1441. RF fn, tp: 0, 9
    1442. 

  1442. RF f1 score: 1.000
    1443. 

  1443. RF cohens kappa score: 1.000
    1444. 

  1444. 

  1445. -> test with 'GB'
    1446. 

  1446. GB tn, fp: 651, 0
    1447. 

  1447. GB fn, tp: 0, 9
    1448. 

  1448. GB f1 score: 1.000
    1449. 

  1449. GB cohens kappa score: 1.000
    1450. 

  1450. 

  1451. -> test with 'KNN'
    1452. 

  1452. KNN tn, fp: 650, 1
    1453. 

  1453. KNN fn, tp: 0, 9
    1454. 

  1454. KNN f1 score: 0.947
    1455. 

  1455. KNN cohens kappa score: 0.947
    1456. 

  1456. 

  1457. ### Exercise is done.
    1458. 

  1458. 

  1459. -----[ LR ]-----
    1460. 

  1460. maximum:
    1461. 

  1461. LR tn, fp: 654, 2
    1462. 

  1462. LR fn, tp: 0, 10
    1463. 

  1463. LR f1 score: 1.000
    1464. 

  1464. LR cohens kappa score: 1.000
    1465. 

  1465. LR average precision score: 1.000
    1466. 

  1466. 

  1467. 

  1468. average:
    1469. 

  1469. LR tn, fp: 653.24, 0.16
    1470. 

  1470. LR fn, tp: 0.0, 9.8
    1471. 

  1471. LR f1 score: 0.992
    1472. 

  1472. LR cohens kappa score: 0.992
    1473. 

  1473. LR average precision score: 1.000
    1474. 

  1474. 

  1475. 

  1476. minimum:
    1477. 

  1477. LR tn, fp: 650, 0
    1478. 

  1478. LR fn, tp: 0, 9
    1479. 

  1479. LR f1 score: 0.909
    1480. 

  1480. LR cohens kappa score: 0.908
    1481. 

  1481. LR average precision score: 1.000
    1482. 

  1482. 

  1483. 

  1484. -----[ RF ]-----
    1485. 

  1485. maximum:
    1486. 

  1486. RF tn, fp: 654, 0
    1487. 

  1487. RF fn, tp: 0, 10
    1488. 

  1488. RF f1 score: 1.000
    1489. 

  1489. RF cohens kappa score: 1.000
    1490. 

  1490. 

  1491. 

  1492. average:
    1493. 

  1493. RF tn, fp: 653.4, 0.0
    1494. 

  1494. RF fn, tp: 0.0, 9.8
    1495. 

  1495. RF f1 score: 1.000
    1496. 

  1496. RF cohens kappa score: 1.000
    1497. 

  1497. 

  1498. 

  1499. minimum:
    1500. 

  1500. RF tn, fp: 651, 0
    1501. 

  1501. RF fn, tp: 0, 9
    1502. 

  1502. RF f1 score: 1.000
    1503. 

  1503. RF cohens kappa score: 1.000
    1504. 

  1504. 

  1505. 

  1506. -----[ GB ]-----
    1507. 

  1507. maximum:
    1508. 

  1508. GB tn, fp: 654, 0
    1509. 

  1509. GB fn, tp: 0, 10
    1510. 

  1510. GB f1 score: 1.000
    1511. 

  1511. GB cohens kappa score: 1.000
    1512. 

  1512. 

  1513. 

  1514. average:
    1515. 

  1515. GB tn, fp: 653.4, 0.0
    1516. 

  1516. GB fn, tp: 0.0, 9.8
    1517. 

  1517. GB f1 score: 1.000
    1518. 

  1518. GB cohens kappa score: 1.000
    1519. 

  1519. 

  1520. 

  1521. minimum:
    1522. 

  1522. GB tn, fp: 651, 0
    1523. 

  1523. GB fn, tp: 0, 9
    1524. 

  1524. GB f1 score: 1.000
    1525. 

  1525. GB cohens kappa score: 1.000
    1526. 

  1526. 

  1527. 

  1528. -----[ KNN ]-----
    1529. 

  1529. maximum:
    1530. 

  1530. KNN tn, fp: 654, 4
    1531. 

  1531. KNN fn, tp: 2, 10
    1532. 

  1532. KNN f1 score: 1.000
    1533. 

  1533. KNN cohens kappa score: 1.000
    1534. 

  1534. 

  1535. 

  1536. average:
    1537. 

  1537. KNN tn, fp: 652.36, 1.04
    1538. 

  1538. KNN fn, tp: 0.16, 9.64
    1539. 

  1539. KNN f1 score: 0.943
    1540. 

  1540. KNN cohens kappa score: 0.942
    1541. 

  1541. 

  1542. 

  1543. minimum:
    1544. 

  1544. KNN tn, fp: 649, 0
    1545. 

  1545. KNN fn, tp: 0, 8
    1546. 

  1546. KNN f1 score: 0.727
    1547. 

  1547. KNN cohens kappa score: 0.723
    1548. 

  1548. 

  1549. 

  1550. -----[ GAN ]-----
    1551. 

  1551. maximum:
    1552. 

  1552. GAN tn, fp: 654, 0
    1553. 

  1553. GAN fn, tp: 1, 10
    1554. 

  1554. GAN f1 score: 1.000
    1555. 

  1555. GAN cohens kappa score: 1.000
    1556. 

  1556. 

  1557. 

  1558. average:
    1559. 

  1559. GAN tn, fp: 653.4, 0.0
    1560. 

  1560. GAN fn, tp: 0.04, 9.76
    1561. 

  1561. GAN f1 score: 0.998
    1562. 

  1562. GAN cohens kappa score: 0.998
    1563. 

  1563. 

  1564. 

  1565. minimum:
    1566. 

  1566. GAN tn, fp: 651, 0
    1567. 

  1567. GAN fn, tp: 0, 9
    1568. 

  1568. GAN f1 score: 0.947
    1569. 

  1569. GAN cohens kappa score: 0.947
    1570. 

  1570.