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ConvGeNBenchmarkResults
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convGAN-majority-full
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folding_shuttle-2_vs_5.log

folding_shuttle-2_vs_5.log 305 KB
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
  1. 

  2. 

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

  4. // Running convGAN-majority-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: 43s - loss: 6.2434e-07
 39/262 [===>..........................] - ETA: 0s - loss: 0.0028     
 81/262 [========>.....................] - ETA: 0s - loss: 0.0082
122/262 [============>.................] - ETA: 0s - loss: 0.0331
163/262 [=================>............] - ETA: 0s - loss: 0.0251
202/262 [======================>.......] - ETA: 0s - loss: 0.0212
242/262 [==========================>...] - ETA: 0s - loss: 0.0177
262/262 [==============================] - 0s 1ms/step - loss: 0.0165
    24. 

  24. Epoch 2/10
    25. 

  25. 
  1/262 [..............................] - ETA: 0s - loss: 9.9244e-06
 42/262 [===>..........................] - ETA: 0s - loss: 2.7471e-06
 79/262 [========>.....................] - ETA: 0s - loss: 5.8833e-06
114/262 [============>.................] - ETA: 0s - loss: 9.7335e-06
150/262 [================>.............] - ETA: 0s - loss: 8.1430e-06
190/262 [====================>.........] - ETA: 0s - loss: 7.0240e-06
229/262 [=========================>....] - ETA: 0s - loss: 6.4597e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.8315e-06
    26. 

  26. Epoch 3/10
    27. 

  27. 
  1/262 [..............................] - ETA: 0s - loss: 2.0253e-06
 42/262 [===>..........................] - ETA: 0s - loss: 3.3629e-06
 83/262 [========>.....................] - ETA: 0s - loss: 5.4767e-06
123/262 [=============>................] - ETA: 0s - loss: 4.7990e-06
164/262 [=================>............] - ETA: 0s - loss: 3.9381e-06
204/262 [======================>.......] - ETA: 0s - loss: 3.5369e-06
246/262 [===========================>..] - ETA: 0s - loss: 4.4812e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.2621e-06
    28. 

  28. Epoch 4/10
    29. 

  29. 
  1/262 [..............................] - ETA: 0s - loss: 6.9626e-07
 36/262 [===>..........................] - ETA: 0s - loss: 2.2031e-06
 76/262 [=======>......................] - ETA: 0s - loss: 1.7982e-06
116/262 [============>.................] - ETA: 0s - loss: 1.8858e-06
156/262 [================>.............] - ETA: 0s - loss: 1.8695e-06
196/262 [=====================>........] - ETA: 0s - loss: 4.1218e-06
236/262 [==========================>...] - ETA: 0s - loss: 3.7328e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.4981e-06
    30. 

  30. Epoch 5/10
    31. 

  31. 
  1/262 [..............................] - ETA: 0s - loss: 1.4845e-07
 40/262 [===>..........................] - ETA: 0s - loss: 6.2222e-06
 81/262 [========>.....................] - ETA: 0s - loss: 4.7709e-06
121/262 [============>.................] - ETA: 0s - loss: 3.6801e-06
161/262 [=================>............] - ETA: 0s - loss: 3.0470e-06
202/262 [======================>.......] - ETA: 0s - loss: 2.5992e-06
241/262 [==========================>...] - ETA: 0s - loss: 2.4367e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.9614e-06
    32. 

  32. Epoch 6/10
    33. 

  33. 
  1/262 [..............................] - ETA: 0s - loss: 8.5635e-07
 41/262 [===>..........................] - ETA: 0s - loss: 6.5978e-06
 81/262 [========>.....................] - ETA: 0s - loss: 3.6492e-06
121/262 [============>.................] - ETA: 0s - loss: 2.9139e-06
160/262 [=================>............] - ETA: 0s - loss: 2.3608e-06
201/262 [======================>.......] - ETA: 0s - loss: 2.0417e-06
238/262 [==========================>...] - ETA: 0s - loss: 1.8501e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.5758e-06
    34. 

  34. Epoch 7/10
    35. 

  35. 
  1/262 [..............................] - ETA: 0s - loss: 4.2182e-07
 41/262 [===>..........................] - ETA: 0s - loss: 6.3207e-07
 81/262 [========>.....................] - ETA: 0s - loss: 7.8154e-07
122/262 [============>.................] - ETA: 0s - loss: 1.1649e-06
163/262 [=================>............] - ETA: 0s - loss: 1.2110e-06
203/262 [======================>.......] - ETA: 0s - loss: 2.3612e-06
244/262 [==========================>...] - ETA: 0s - loss: 2.3736e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.2570e-06
    36. 

  36. Epoch 8/10
    37. 

  37. 
  1/262 [..............................] - ETA: 0s - loss: 2.7156e-07
 43/262 [===>..........................] - ETA: 0s - loss: 1.0342e-06
 79/262 [========>.....................] - ETA: 0s - loss: 1.0993e-06
118/262 [============>.................] - ETA: 0s - loss: 1.8651e-06
159/262 [=================>............] - ETA: 0s - loss: 2.0130e-06
194/262 [=====================>........] - ETA: 0s - loss: 1.7359e-06
227/262 [========================>.....] - ETA: 0s - loss: 1.6098e-06
261/262 [============================>.] - ETA: 0s - loss: 2.0006e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.9984e-06
    38. 

  38. Epoch 9/10
    39. 

  39. 
  1/262 [..............................] - ETA: 0s - loss: 1.1543e-07
 40/262 [===>..........................] - ETA: 0s - loss: 3.4794e-06
 82/262 [========>.....................] - ETA: 0s - loss: 2.0361e-06
123/262 [=============>................] - ETA: 0s - loss: 2.7646e-06
164/262 [=================>............] - ETA: 0s - loss: 2.2138e-06
205/262 [======================>.......] - ETA: 0s - loss: 1.9828e-06
246/262 [===========================>..] - ETA: 0s - loss: 1.8174e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.7588e-06
    40. 

  40. Epoch 10/10
    41. 

  41. 
  1/262 [..............................] - ETA: 0s - loss: 4.3071e-07
 40/262 [===>..........................] - ETA: 0s - loss: 8.9516e-07
 79/262 [========>.....................] - ETA: 0s - loss: 7.7882e-07
116/262 [============>.................] - ETA: 0s - loss: 1.2279e-06
155/262 [================>.............] - ETA: 0s - loss: 9.9854e-07
194/262 [=====================>........] - ETA: 0s - loss: 1.4549e-06
234/262 [=========================>....] - ETA: 0s - loss: 1.6900e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5785e-06
    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: 45s - loss: 7.4084e-08
 37/262 [===>..........................] - ETA: 0s - loss: 3.8200e-07 
 70/262 [=======>......................] - ETA: 0s - loss: 2.8570e-05
105/262 [===========>..................] - ETA: 0s - loss: 2.3642e-05
139/262 [==============>...............] - ETA: 0s - loss: 1.9018e-05
174/262 [==================>...........] - ETA: 0s - loss: 1.5280e-05
204/262 [======================>.......] - ETA: 0s - loss: 1.3222e-05
242/262 [==========================>...] - ETA: 0s - loss: 1.1295e-05
262/262 [==============================] - 1s 1ms/step - loss: 1.0503e-05
    81. 

  81. Epoch 2/10
    82. 

  82. 
  1/262 [..............................] - ETA: 0s - loss: 7.3732e-08
 42/262 [===>..........................] - ETA: 0s - loss: 1.2192e-07
 81/262 [========>.....................] - ETA: 0s - loss: 1.6115e-06
120/262 [============>.................] - ETA: 0s - loss: 1.3062e-06
159/262 [=================>............] - ETA: 0s - loss: 1.0797e-06
199/262 [=====================>........] - ETA: 0s - loss: 9.6679e-07
238/262 [==========================>...] - ETA: 0s - loss: 8.5437e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.7718e-07
    83. 

  83. Epoch 3/10
    84. 

  84. 
  1/262 [..............................] - ETA: 0s - loss: 1.1533e-07
 37/262 [===>..........................] - ETA: 0s - loss: 2.3327e-07
 76/262 [=======>......................] - ETA: 0s - loss: 2.3053e-07
113/262 [===========>..................] - ETA: 0s - loss: 9.1138e-07
152/262 [================>.............] - ETA: 0s - loss: 8.2443e-07
189/262 [====================>.........] - ETA: 0s - loss: 9.1184e-07
227/262 [========================>.....] - ETA: 0s - loss: 8.0094e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.1720e-07
    85. 

  85. Epoch 4/10
    86. 

  86. 
  1/262 [..............................] - ETA: 0s - loss: 7.0622e-08
 41/262 [===>..........................] - ETA: 0s - loss: 3.1126e-07
 81/262 [========>.....................] - ETA: 0s - loss: 2.2750e-07
120/262 [============>.................] - ETA: 0s - loss: 1.0824e-06
160/262 [=================>............] - ETA: 0s - loss: 8.6608e-07
199/262 [=====================>........] - ETA: 0s - loss: 7.4855e-07
239/262 [==========================>...] - ETA: 0s - loss: 6.5590e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.2357e-07
    87. 

  87. Epoch 5/10
    88. 

  88. 
  1/262 [..............................] - ETA: 0s - loss: 1.1476e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.7067e-07
 81/262 [========>.....................] - ETA: 0s - loss: 2.1339e-07
120/262 [============>.................] - ETA: 0s - loss: 6.8919e-07
159/262 [=================>............] - ETA: 0s - loss: 7.6853e-07
199/262 [=====================>........] - ETA: 0s - loss: 6.5057e-07
238/262 [==========================>...] - ETA: 0s - loss: 5.7135e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.3236e-07
    89. 

  89. Epoch 6/10
    90. 

  90. 
  1/262 [..............................] - ETA: 0s - loss: 2.4367e-08
 42/262 [===>..........................] - ETA: 0s - loss: 1.5389e-07
 76/262 [=======>......................] - ETA: 0s - loss: 1.7275e-07
115/262 [============>.................] - ETA: 0s - loss: 7.3373e-07
155/262 [================>.............] - ETA: 0s - loss: 6.4293e-07
195/262 [=====================>........] - ETA: 0s - loss: 5.5883e-07
231/262 [=========================>....] - ETA: 0s - loss: 5.0922e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.7090e-07
    91. 

  91. Epoch 7/10
    92. 

  92. 
  1/262 [..............................] - ETA: 0s - loss: 4.9724e-08
 40/262 [===>..........................] - ETA: 0s - loss: 1.7198e-07
 80/262 [========>.....................] - ETA: 0s - loss: 7.3189e-07
120/262 [============>.................] - ETA: 0s - loss: 5.7713e-07
160/262 [=================>............] - ETA: 0s - loss: 5.2805e-07
199/262 [=====================>........] - ETA: 0s - loss: 4.4739e-07
231/262 [=========================>....] - ETA: 0s - loss: 3.9952e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.5977e-07
    93. 

  93. Epoch 8/10
    94. 

  94. 
  1/262 [..............................] - ETA: 0s - loss: 1.7979e-08
 35/262 [===>..........................] - ETA: 0s - loss: 1.1797e-06
 72/262 [=======>......................] - ETA: 0s - loss: 8.2634e-07
111/262 [===========>..................] - ETA: 0s - loss: 5.8836e-07
150/262 [================>.............] - ETA: 0s - loss: 5.1106e-07
190/262 [====================>.........] - ETA: 0s - loss: 4.2300e-07
230/262 [=========================>....] - ETA: 0s - loss: 3.7774e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.4983e-07
    95. 

  95. Epoch 9/10
    96. 

  96. 
  1/262 [..............................] - ETA: 0s - loss: 1.3660e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.1568e-07
 80/262 [========>.....................] - ETA: 0s - loss: 1.2189e-07
121/262 [============>.................] - ETA: 0s - loss: 1.3376e-07
158/262 [=================>............] - ETA: 0s - loss: 1.1962e-07
198/262 [=====================>........] - ETA: 0s - loss: 5.6598e-07
238/262 [==========================>...] - ETA: 0s - loss: 5.4415e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.1715e-07
    97. 

  97. Epoch 10/10
    98. 

  98. 
  1/262 [..............................] - ETA: 0s - loss: 3.5479e-08
 40/262 [===>..........................] - ETA: 0s - loss: 1.5236e-07
 78/262 [=======>......................] - ETA: 0s - loss: 2.2183e-07
117/262 [============>.................] - ETA: 0s - loss: 1.8351e-07
156/262 [================>.............] - ETA: 0s - loss: 1.5773e-07
196/262 [=====================>........] - ETA: 0s - loss: 1.3273e-07
235/262 [=========================>....] - ETA: 0s - loss: 2.8429e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.1927e-07
    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: 45s - loss: 1.0352e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.5946e-06 
 81/262 [========>.....................] - ETA: 0s - loss: 4.6736e-06
122/262 [============>.................] - ETA: 0s - loss: 3.5381e-06
163/262 [=================>............] - ETA: 0s - loss: 3.0967e-06
204/262 [======================>.......] - ETA: 0s - loss: 2.5506e-06
239/262 [==========================>...] - ETA: 0s - loss: 3.8225e-06
262/262 [==============================] - 1s 1ms/step - loss: 5.3308e-04
    138. 

  138. Epoch 2/10
    139. 

  139. 
  1/262 [..............................] - ETA: 0s - loss: 1.1287e-07
 34/262 [==>...........................] - ETA: 0s - loss: 2.3313e-05
 70/262 [=======>......................] - ETA: 0s - loss: 2.7733e-05
106/262 [===========>..................] - ETA: 0s - loss: 1.8927e-05
145/262 [===============>..............] - ETA: 0s - loss: 1.5498e-05
182/262 [===================>..........] - ETA: 0s - loss: 1.4783e-05
221/262 [========================>.....] - ETA: 0s - loss: 0.0023    
261/262 [============================>.] - ETA: 0s - loss: 0.0020
262/262 [==============================] - 0s 1ms/step - loss: 0.0020
    140. 

  140. Epoch 3/10
    141. 

  141. 
  1/262 [..............................] - ETA: 0s - loss: 9.4635e-07
 42/262 [===>..........................] - ETA: 0s - loss: 0.0055    
 83/262 [========>.....................] - ETA: 0s - loss: 0.0028
123/262 [=============>................] - ETA: 0s - loss: 0.0019
163/262 [=================>............] - ETA: 0s - loss: 0.0014
200/262 [=====================>........] - ETA: 0s - loss: 0.0012
240/262 [==========================>...] - ETA: 0s - loss: 9.7669e-04
262/262 [==============================] - 0s 1ms/step - loss: 8.9722e-04
    142. 

  142. Epoch 4/10
    143. 

  143. 
  1/262 [..............................] - ETA: 0s - loss: 5.0626e-06
 41/262 [===>..........................] - ETA: 0s - loss: 2.4536e-06
 82/262 [========>.....................] - ETA: 0s - loss: 1.8988e-06
123/262 [=============>................] - ETA: 0s - loss: 2.9503e-06
163/262 [=================>............] - ETA: 0s - loss: 2.6659e-06
202/262 [======================>.......] - ETA: 0s - loss: 2.4590e-06
240/262 [==========================>...] - ETA: 0s - loss: 2.4367e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.2818e-06
    144. 

  144. Epoch 5/10
    145. 

  145. 
  1/262 [..............................] - ETA: 0s - loss: 6.7594e-08
 42/262 [===>..........................] - ETA: 0s - loss: 8.7913e-07
 81/262 [========>.....................] - ETA: 0s - loss: 2.2735e-06
122/262 [============>.................] - ETA: 0s - loss: 2.3371e-06
162/262 [=================>............] - ETA: 0s - loss: 1.8825e-06
198/262 [=====================>........] - ETA: 0s - loss: 1.5707e-06
238/262 [==========================>...] - ETA: 0s - loss: 1.3534e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.3415e-06
    146. 

  146. Epoch 6/10
    147. 

  147. 
  1/262 [..............................] - ETA: 0s - loss: 1.1188e-08
 41/262 [===>..........................] - ETA: 0s - loss: 5.3165e-07
 80/262 [========>.....................] - ETA: 0s - loss: 7.0886e-07
120/262 [============>.................] - ETA: 0s - loss: 5.0737e-07
159/262 [=================>............] - ETA: 0s - loss: 4.7078e-07
199/262 [=====================>........] - ETA: 0s - loss: 1.7838e-06
240/262 [==========================>...] - ETA: 0s - loss: 1.5663e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.4489e-06
    148. 

  148. Epoch 7/10
    149. 

  149. 
  1/262 [..............................] - ETA: 0s - loss: 8.8072e-08
 41/262 [===>..........................] - ETA: 0s - loss: 6.2158e-07
 81/262 [========>.....................] - ETA: 0s - loss: 6.0259e-07
122/262 [============>.................] - ETA: 0s - loss: 1.4798e-06
162/262 [=================>............] - ETA: 0s - loss: 1.2545e-06
202/262 [======================>.......] - ETA: 0s - loss: 1.0554e-06
242/262 [==========================>...] - ETA: 0s - loss: 9.7948e-07
262/262 [==============================] - 0s 1ms/step - loss: 9.8511e-07
    150. 

  150. Epoch 8/10
    151. 

  151. 
  1/262 [..............................] - ETA: 0s - loss: 1.2561e-07
 40/262 [===>..........................] - ETA: 0s - loss: 5.0284e-07
 74/262 [=======>......................] - ETA: 0s - loss: 6.3007e-07
107/262 [===========>..................] - ETA: 0s - loss: 6.9349e-07
140/262 [===============>..............] - ETA: 0s - loss: 1.4997e-06
181/262 [===================>..........] - ETA: 0s - loss: 1.1952e-06
218/262 [=======================>......] - ETA: 0s - loss: 1.0784e-06
256/262 [============================>.] - ETA: 0s - loss: 9.6375e-07
262/262 [==============================] - 0s 1ms/step - loss: 9.4787e-07
    152. 

  152. Epoch 9/10
    153. 

  153. 
  1/262 [..............................] - ETA: 0s - loss: 2.9988e-08
 41/262 [===>..........................] - ETA: 0s - loss: 1.1267e-06
 82/262 [========>.....................] - ETA: 0s - loss: 6.8383e-07
121/262 [============>.................] - ETA: 0s - loss: 6.1824e-07
159/262 [=================>............] - ETA: 0s - loss: 5.2472e-07
194/262 [=====================>........] - ETA: 0s - loss: 1.0599e-06
231/262 [=========================>....] - ETA: 0s - loss: 9.4373e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.5742e-07
    154. 

  154. Epoch 10/10
    155. 

  155. 
  1/262 [..............................] - ETA: 0s - loss: 5.8978e-08
 42/262 [===>..........................] - ETA: 0s - loss: 1.1847e-07
 82/262 [========>.....................] - ETA: 0s - loss: 1.2550e-07
123/262 [=============>................] - ETA: 0s - loss: 3.9491e-07
162/262 [=================>............] - ETA: 0s - loss: 9.1883e-07
199/262 [=====================>........] - ETA: 0s - loss: 8.5579e-07
239/262 [==========================>...] - ETA: 0s - loss: 7.8562e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.8791e-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: 1, 9
    184. 

  184. KNN f1 score: 0.947
    185. 

  185. KNN cohens kappa score: 0.947
    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: 39s - loss: 0.0012
 41/262 [===>..........................] - ETA: 0s - loss: 0.0049 
 82/262 [========>.....................] - ETA: 0s - loss: 0.0024
122/262 [============>.................] - ETA: 0s - loss: 0.0035
162/262 [=================>............] - ETA: 0s - loss: 0.0028
201/262 [======================>.......] - ETA: 0s - loss: 0.0023
241/262 [==========================>...] - ETA: 0s - loss: 0.0019
262/262 [==============================] - 0s 1ms/step - loss: 0.0017
    195. 

  195. Epoch 2/10
    196. 

  196. 
  1/262 [..............................] - ETA: 0s - loss: 9.0177e-06
 40/262 [===>..........................] - ETA: 0s - loss: 3.7813e-06
 79/262 [========>.....................] - ETA: 0s - loss: 2.8489e-06
119/262 [============>.................] - ETA: 0s - loss: 2.1564e-06
159/262 [=================>............] - ETA: 0s - loss: 3.8470e-06
196/262 [=====================>........] - ETA: 0s - loss: 3.2654e-06
235/262 [=========================>....] - ETA: 0s - loss: 2.9889e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.3316e-06
    197. 

  197. Epoch 3/10
    198. 

  198. 
  1/262 [..............................] - ETA: 0s - loss: 5.2543e-07
 39/262 [===>..........................] - ETA: 0s - loss: 8.0752e-07
 78/262 [=======>......................] - ETA: 0s - loss: 1.0108e-06
118/262 [============>.................] - ETA: 0s - loss: 1.3723e-06
153/262 [================>.............] - ETA: 0s - loss: 2.3858e-06
194/262 [=====================>........] - ETA: 0s - loss: 2.2801e-06
234/262 [=========================>....] - ETA: 0s - loss: 1.9731e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.7949e-06
    199. 

  199. Epoch 4/10
    200. 

  200. 
  1/262 [..............................] - ETA: 0s - loss: 2.1200e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.0981e-06
 80/262 [========>.....................] - ETA: 0s - loss: 3.4611e-06
118/262 [============>.................] - ETA: 0s - loss: 3.0850e-06
157/262 [================>.............] - ETA: 0s - loss: 3.1243e-06
196/262 [=====================>........] - ETA: 0s - loss: 2.9845e-06
230/262 [=========================>....] - ETA: 0s - loss: 2.6422e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.4336e-06
    201. 

  201. Epoch 5/10
    202. 

  202. 
  1/262 [..............................] - ETA: 0s - loss: 1.2542e-06
 38/262 [===>..........................] - ETA: 0s - loss: 2.4188e-06
 76/262 [=======>......................] - ETA: 0s - loss: 1.7838e-06
116/262 [============>.................] - ETA: 0s - loss: 1.3359e-06
155/262 [================>.............] - ETA: 0s - loss: 1.6364e-06
195/262 [=====================>........] - ETA: 0s - loss: 1.7507e-06
235/262 [=========================>....] - ETA: 0s - loss: 2.3000e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.1674e-06
    203. 

  203. Epoch 6/10
    204. 

  204. 
  1/262 [..............................] - ETA: 0s - loss: 1.6167e-06
 40/262 [===>..........................] - ETA: 0s - loss: 3.0091e-06
 78/262 [=======>......................] - ETA: 0s - loss: 2.0554e-06
117/262 [============>.................] - ETA: 0s - loss: 1.5263e-06
158/262 [=================>............] - ETA: 0s - loss: 1.4332e-06
198/262 [=====================>........] - ETA: 0s - loss: 1.2407e-06
239/262 [==========================>...] - ETA: 0s - loss: 2.1034e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.9625e-06
    205. 

  205. Epoch 7/10
    206. 

  206. 
  1/262 [..............................] - ETA: 0s - loss: 1.2051e-07
 41/262 [===>..........................] - ETA: 0s - loss: 8.2648e-07
 81/262 [========>.....................] - ETA: 0s - loss: 2.3914e-06
120/262 [============>.................] - ETA: 0s - loss: 2.3738e-06
159/262 [=================>............] - ETA: 0s - loss: 2.1357e-06
196/262 [=====================>........] - ETA: 0s - loss: 1.8408e-06
235/262 [=========================>....] - ETA: 0s - loss: 1.8742e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.7300e-06
    207. 

  207. Epoch 8/10
    208. 

  208. 
  1/262 [..............................] - ETA: 0s - loss: 1.2969e-07
 40/262 [===>..........................] - ETA: 0s - loss: 5.3960e-06
 80/262 [========>.....................] - ETA: 0s - loss: 3.1752e-06
117/262 [============>.................] - ETA: 0s - loss: 2.3434e-06
153/262 [================>.............] - ETA: 0s - loss: 1.9492e-06
191/262 [====================>.........] - ETA: 0s - loss: 1.7368e-06
229/262 [=========================>....] - ETA: 0s - loss: 1.6958e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5280e-06
    209. 

  209. Epoch 9/10
    210. 

  210. 
  1/262 [..............................] - ETA: 0s - loss: 2.4508e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.1130e-06
 81/262 [========>.....................] - ETA: 0s - loss: 7.8527e-07
119/262 [============>.................] - ETA: 0s - loss: 9.1715e-07
160/262 [=================>............] - ETA: 0s - loss: 9.0994e-07
199/262 [=====================>........] - ETA: 0s - loss: 1.7210e-06
239/262 [==========================>...] - ETA: 0s - loss: 1.5179e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.4270e-06
    211. 

  211. Epoch 10/10
    212. 

  212. 
  1/262 [..............................] - ETA: 0s - loss: 1.1885e-07
 42/262 [===>..........................] - ETA: 0s - loss: 2.9494e-06
 81/262 [========>.....................] - ETA: 0s - loss: 1.9992e-06
121/262 [============>.................] - ETA: 0s - loss: 2.0228e-06
161/262 [=================>............] - ETA: 0s - loss: 1.6441e-06
201/262 [======================>.......] - ETA: 0s - loss: 1.4197e-06
242/262 [==========================>...] - ETA: 0s - loss: 1.3039e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2721e-06
    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: 48s - loss: 5.2491e-07
 42/262 [===>..........................] - ETA: 0s - loss: 2.6647e-04 
 82/262 [========>.....................] - ETA: 0s - loss: 0.0026    
121/262 [============>.................] - ETA: 0s - loss: 0.0018
161/262 [=================>............] - ETA: 0s - loss: 0.0013
202/262 [======================>.......] - ETA: 0s - loss: 0.0011
243/262 [==========================>...] - ETA: 0s - loss: 0.0011
262/262 [==============================] - 1s 1ms/step - loss: 0.0010
    252. 

  252. Epoch 2/10
    253. 

  253. 
  1/262 [..............................] - ETA: 0s - loss: 1.2298e-08
 41/262 [===>..........................] - ETA: 0s - loss: 3.6956e-06
 82/262 [========>.....................] - ETA: 0s - loss: 1.9118e-06
122/262 [============>.................] - ETA: 0s - loss: 5.5516e-04
162/262 [=================>............] - ETA: 0s - loss: 0.0013    
202/262 [======================>.......] - ETA: 0s - loss: 0.0011
242/262 [==========================>...] - ETA: 0s - loss: 9.0156e-04
262/262 [==============================] - 0s 1ms/step - loss: 8.3402e-04
    254. 

  254. Epoch 3/10
    255. 

  255. 
  1/262 [..............................] - ETA: 0s - loss: 9.3868e-08
 42/262 [===>..........................] - ETA: 0s - loss: 3.3522e-06
 76/262 [=======>......................] - ETA: 0s - loss: 2.4140e-06
109/262 [===========>..................] - ETA: 0s - loss: 1.7011e-06
136/262 [==============>...............] - ETA: 0s - loss: 3.8248e-04
175/262 [===================>..........] - ETA: 0s - loss: 0.0014    
216/262 [=======================>......] - ETA: 0s - loss: 0.0013
255/262 [============================>.] - ETA: 0s - loss: 0.0011
262/262 [==============================] - 0s 1ms/step - loss: 0.0011
    256. 

  256. Epoch 4/10
    257. 

  257. 
  1/262 [..............................] - ETA: 0s - loss: 6.1599e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.2877e-06
 80/262 [========>.....................] - ETA: 0s - loss: 2.0941e-06
121/262 [============>.................] - ETA: 0s - loss: 3.8313e-06
162/262 [=================>............] - ETA: 0s - loss: 1.6478e-04
203/262 [======================>.......] - ETA: 0s - loss: 1.3156e-04
244/262 [==========================>...] - ETA: 0s - loss: 1.0956e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0224e-04
    258. 

  258. Epoch 5/10
    259. 

  259. 
  1/262 [..............................] - ETA: 0s - loss: 1.8841e-08
 42/262 [===>..........................] - ETA: 0s - loss: 4.9973e-06
 83/262 [========>.....................] - ETA: 0s - loss: 2.6403e-06
124/262 [=============>................] - ETA: 0s - loss: 3.2009e-05
164/262 [=================>............] - ETA: 0s - loss: 2.4395e-05
203/262 [======================>.......] - ETA: 0s - loss: 1.9737e-05
243/262 [==========================>...] - ETA: 0s - loss: 1.6500e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.5331e-05
    260. 

  260. Epoch 6/10
    261. 

  261. 
  1/262 [..............................] - ETA: 0s - loss: 1.3953e-08
 42/262 [===>..........................] - ETA: 0s - loss: 7.2705e-07
 83/262 [========>.....................] - ETA: 0s - loss: 4.2057e-07
124/262 [=============>................] - ETA: 0s - loss: 3.2710e-07
163/262 [=================>............] - ETA: 0s - loss: 2.4441e-06
203/262 [======================>.......] - ETA: 0s - loss: 2.0019e-06
243/262 [==========================>...] - ETA: 0s - loss: 1.6791e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5713e-06
    262. 

  262. Epoch 7/10
    263. 

  263. 
  1/262 [..............................] - ETA: 0s - loss: 7.1478e-09
 42/262 [===>..........................] - ETA: 0s - loss: 3.9611e-07
 83/262 [========>.....................] - ETA: 0s - loss: 3.3513e-07
123/262 [=============>................] - ETA: 0s - loss: 2.6685e-07
164/262 [=================>............] - ETA: 0s - loss: 2.3167e-07
205/262 [======================>.......] - ETA: 0s - loss: 1.2917e-06
245/262 [===========================>..] - ETA: 0s - loss: 1.1724e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.1021e-06
    264. 

  264. Epoch 8/10
    265. 

  265. 
  1/262 [..............................] - ETA: 0s - loss: 6.0357e-08
 42/262 [===>..........................] - ETA: 0s - loss: 1.2854e-07
 83/262 [========>.....................] - ETA: 0s - loss: 2.3888e-06
121/262 [============>.................] - ETA: 0s - loss: 1.6655e-06
161/262 [=================>............] - ETA: 0s - loss: 1.3184e-06
200/262 [=====================>........] - ETA: 0s - loss: 1.0842e-06
238/262 [==========================>...] - ETA: 0s - loss: 9.1961e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.3840e-07
    266. 

  266. Epoch 9/10
    267. 

  267. 
  1/262 [..............................] - ETA: 0s - loss: 7.7719e-09
 42/262 [===>..........................] - ETA: 0s - loss: 2.8173e-07
 82/262 [========>.....................] - ETA: 0s - loss: 2.0483e-07
121/262 [============>.................] - ETA: 0s - loss: 1.6068e-07
160/262 [=================>............] - ETA: 0s - loss: 1.5084e-07
194/262 [=====================>........] - ETA: 0s - loss: 1.4437e-07
223/262 [========================>.....] - ETA: 0s - loss: 2.0319e-07
258/262 [============================>.] - ETA: 0s - loss: 6.8122e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.7201e-07
    268. 

  268. Epoch 10/10
    269. 

  269. 
  1/262 [..............................] - ETA: 0s - loss: 1.1825e-08
 39/262 [===>..........................] - ETA: 0s - loss: 8.2162e-08
 77/262 [=======>......................] - ETA: 0s - loss: 1.8001e-07
117/262 [============>.................] - ETA: 0s - loss: 1.0155e-06
158/262 [=================>............] - ETA: 0s - loss: 8.5800e-07
199/262 [=====================>........] - ETA: 0s - loss: 6.8804e-07
240/262 [==========================>...] - ETA: 0s - loss: 5.9593e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.4854e-07
    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: 45s - loss: 1.0302e-06
 41/262 [===>..........................] - ETA: 0s - loss: 7.3490e-06 
 78/262 [=======>......................] - ETA: 0s - loss: 5.3252e-06
118/262 [============>.................] - ETA: 0s - loss: 3.7945e-06
158/262 [=================>............] - ETA: 0s - loss: 0.0056    
197/262 [=====================>........] - ETA: 0s - loss: 0.0084
235/262 [=========================>....] - ETA: 0s - loss: 0.0071
262/262 [==============================] - 1s 1ms/step - loss: 0.0064
    313. 

  313. Epoch 2/10
    314. 

  314. 
  1/262 [..............................] - ETA: 0s - loss: 6.6917e-06
 41/262 [===>..........................] - ETA: 0s - loss: 9.0227e-05
 79/262 [========>.....................] - ETA: 0s - loss: 2.8438e-04
118/262 [============>.................] - ETA: 0s - loss: 1.9977e-04
158/262 [=================>............] - ETA: 0s - loss: 3.4936e-04
194/262 [=====================>........] - ETA: 0s - loss: 2.9792e-04
226/262 [========================>.....] - ETA: 0s - loss: 2.6460e-04
259/262 [============================>.] - ETA: 0s - loss: 2.3186e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.2984e-04
    315. 

  315. Epoch 3/10
    316. 

  316. 
  1/262 [..............................] - ETA: 0s - loss: 7.7290e-06
 37/262 [===>..........................] - ETA: 0s - loss: 6.9684e-06
 77/262 [=======>......................] - ETA: 0s - loss: 2.4029e-05
117/262 [============>.................] - ETA: 0s - loss: 1.7898e-05
155/262 [================>.............] - ETA: 0s - loss: 1.6737e-05
191/262 [====================>.........] - ETA: 0s - loss: 1.5155e-05
228/262 [=========================>....] - ETA: 0s - loss: 1.4098e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.2783e-05
    317. 

  317. Epoch 4/10
    318. 

  318. 
  1/262 [..............................] - ETA: 0s - loss: 1.8128e-06
 37/262 [===>..........................] - ETA: 0s - loss: 3.9508e-06
 74/262 [=======>......................] - ETA: 0s - loss: 4.5434e-06
110/262 [===========>..................] - ETA: 0s - loss: 4.5368e-06
146/262 [===============>..............] - ETA: 0s - loss: 1.3004e-05
179/262 [===================>..........] - ETA: 0s - loss: 1.1658e-05
215/262 [=======================>......] - ETA: 0s - loss: 1.1396e-05
250/262 [===========================>..] - ETA: 0s - loss: 1.0900e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.0558e-05
    319. 

  319. Epoch 5/10
    320. 

  320. 
  1/262 [..............................] - ETA: 0s - loss: 1.1901e-06
 37/262 [===>..........................] - ETA: 0s - loss: 4.0431e-06
 72/262 [=======>......................] - ETA: 0s - loss: 4.6741e-06
108/262 [===========>..................] - ETA: 0s - loss: 3.7049e-06
141/262 [===============>..............] - ETA: 0s - loss: 3.3575e-06
176/262 [===================>..........] - ETA: 0s - loss: 3.5477e-06
211/262 [=======================>......] - ETA: 0s - loss: 3.2241e-06
249/262 [===========================>..] - ETA: 0s - loss: 9.8425e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.6659e-06
    321. 

  321. Epoch 6/10
    322. 

  322. 
  1/262 [..............................] - ETA: 0s - loss: 2.5742e-06
 41/262 [===>..........................] - ETA: 0s - loss: 7.1398e-06
 77/262 [=======>......................] - ETA: 0s - loss: 1.0897e-05
118/262 [============>.................] - ETA: 0s - loss: 9.6658e-06
158/262 [=================>............] - ETA: 0s - loss: 8.0175e-06
192/262 [====================>.........] - ETA: 0s - loss: 7.7895e-06
226/262 [========================>.....] - ETA: 0s - loss: 6.9418e-06
260/262 [============================>.] - ETA: 0s - loss: 6.4667e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.4373e-06
    323. 

  323. Epoch 7/10
    324. 

  324. 
  1/262 [..............................] - ETA: 0s - loss: 7.2657e-06
 34/262 [==>...........................] - ETA: 0s - loss: 3.3787e-06
 73/262 [=======>......................] - ETA: 0s - loss: 2.5061e-06
113/262 [===========>..................] - ETA: 0s - loss: 2.8690e-06
152/262 [================>.............] - ETA: 0s - loss: 3.6183e-06
191/262 [====================>.........] - ETA: 0s - loss: 3.2706e-06
231/262 [=========================>....] - ETA: 0s - loss: 2.9514e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.6530e-06
    325. 

  325. Epoch 8/10
    326. 

  326. 
  1/262 [..............................] - ETA: 0s - loss: 2.7346e-06
 39/262 [===>..........................] - ETA: 0s - loss: 1.1752e-05
 78/262 [=======>......................] - ETA: 0s - loss: 7.7398e-06
117/262 [============>.................] - ETA: 0s - loss: 6.5835e-06
157/262 [================>.............] - ETA: 0s - loss: 5.9097e-06
193/262 [=====================>........] - ETA: 0s - loss: 5.4016e-06
226/262 [========================>.....] - ETA: 0s - loss: 5.0156e-06
257/262 [============================>.] - ETA: 0s - loss: 4.6166e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.5523e-06
    327. 

  327. Epoch 9/10
    328. 

  328. 
  1/262 [..............................] - ETA: 0s - loss: 4.9449e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.5542e-05
 80/262 [========>.....................] - ETA: 0s - loss: 8.8831e-06
117/262 [============>.................] - ETA: 0s - loss: 6.8768e-06
156/262 [================>.............] - ETA: 0s - loss: 6.1185e-06
193/262 [=====================>........] - ETA: 0s - loss: 5.3915e-06
231/262 [=========================>....] - ETA: 0s - loss: 4.8331e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.4474e-06
    329. 

  329. Epoch 10/10
    330. 

  330. 
  1/262 [..............................] - ETA: 0s - loss: 1.2153e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.9611e-06
 78/262 [=======>......................] - ETA: 0s - loss: 8.8035e-06
116/262 [============>.................] - ETA: 0s - loss: 6.9753e-06
153/262 [================>.............] - ETA: 0s - loss: 5.8017e-06
189/262 [====================>.........] - ETA: 0s - loss: 5.1380e-06
229/262 [=========================>....] - ETA: 0s - loss: 4.5212e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.3588e-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: 1, 9
    359. 

  359. KNN f1 score: 0.900
    360. 

  360. KNN cohens kappa score: 0.898
    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: 41s - loss: 9.9892e-08
 35/262 [===>..........................] - ETA: 0s - loss: 7.6658e-06 
 70/262 [=======>......................] - ETA: 0s - loss: 4.4384e-06
108/262 [===========>..................] - ETA: 0s - loss: 2.9622e-06
147/262 [===============>..............] - ETA: 0s - loss: 2.2259e-06
188/262 [====================>.........] - ETA: 0s - loss: 1.8166e-06
228/262 [=========================>....] - ETA: 0s - loss: 1.5430e-06
262/262 [==============================] - 1s 1ms/step - loss: 1.3627e-06
    370. 

  370. Epoch 2/10
    371. 

  371. 
  1/262 [..............................] - ETA: 0s - loss: 1.2178e-07
 40/262 [===>..........................] - ETA: 0s - loss: 2.1832e-07
 80/262 [========>.....................] - ETA: 0s - loss: 2.5693e-07
120/262 [============>.................] - ETA: 0s - loss: 3.5719e-07
157/262 [================>.............] - ETA: 0s - loss: 5.7828e-07
195/262 [=====================>........] - ETA: 0s - loss: 5.0634e-07
233/262 [=========================>....] - ETA: 0s - loss: 1.3570e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.8143e-04
    372. 

  372. Epoch 3/10
    373. 

  373. 
  1/262 [..............................] - ETA: 0s - loss: 6.4556e-06
 40/262 [===>..........................] - ETA: 0s - loss: 0.0655    
 80/262 [========>.....................] - ETA: 0s - loss: 0.0331
120/262 [============>.................] - ETA: 0s - loss: 0.0221
160/262 [=================>............] - ETA: 0s - loss: 0.0166
201/262 [======================>.......] - ETA: 0s - loss: 0.0132
239/262 [==========================>...] - ETA: 0s - loss: 0.0111
262/262 [==============================] - 0s 1ms/step - loss: 0.0102
    374. 

  374. Epoch 4/10
    375. 

  375. 
  1/262 [..............................] - ETA: 0s - loss: 3.3458e-07
 40/262 [===>..........................] - ETA: 0s - loss: 3.5526e-06
 78/262 [=======>......................] - ETA: 0s - loss: 2.0563e-06
118/262 [============>.................] - ETA: 0s - loss: 1.4482e-06
156/262 [================>.............] - ETA: 0s - loss: 1.2207e-06
197/262 [=====================>........] - ETA: 0s - loss: 1.0401e-06
236/262 [==========================>...] - ETA: 0s - loss: 9.9626e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.1648e-06
    376. 

  376. Epoch 5/10
    377. 

  377. 
  1/262 [..............................] - ETA: 0s - loss: 7.5886e-08
 36/262 [===>..........................] - ETA: 0s - loss: 3.6502e-07
 72/262 [=======>......................] - ETA: 0s - loss: 5.7366e-07
109/262 [===========>..................] - ETA: 0s - loss: 8.9277e-07
145/262 [===============>..............] - ETA: 0s - loss: 7.4526e-07
186/262 [====================>.........] - ETA: 0s - loss: 6.6473e-07
225/262 [========================>.....] - ETA: 0s - loss: 1.1301e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.0365e-06
    378. 

  378. Epoch 6/10
    379. 

  379. 
  1/262 [..............................] - ETA: 0s - loss: 8.6651e-08
 40/262 [===>..........................] - ETA: 0s - loss: 3.4960e-07
 75/262 [=======>......................] - ETA: 0s - loss: 1.6493e-06
114/262 [============>.................] - ETA: 0s - loss: 1.2189e-06
153/262 [================>.............] - ETA: 0s - loss: 1.2959e-06
190/262 [====================>.........] - ETA: 0s - loss: 1.1732e-06
227/262 [========================>.....] - ETA: 0s - loss: 1.0160e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.2305e-07
    380. 

  380. Epoch 7/10
    381. 

  381. 
  1/262 [..............................] - ETA: 0s - loss: 4.9230e-08
 37/262 [===>..........................] - ETA: 0s - loss: 2.6561e-07
 69/262 [======>.......................] - ETA: 0s - loss: 4.2091e-07
102/262 [==========>...................] - ETA: 0s - loss: 3.6186e-07
140/262 [===============>..............] - ETA: 0s - loss: 4.1537e-07
178/262 [===================>..........] - ETA: 0s - loss: 1.0170e-06
215/262 [=======================>......] - ETA: 0s - loss: 9.5556e-07
254/262 [============================>.] - ETA: 0s - loss: 8.4893e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.3519e-07
    382. 

  382. Epoch 8/10
    383. 

  383. 
  1/262 [..............................] - ETA: 0s - loss: 5.3654e-08
 41/262 [===>..........................] - ETA: 0s - loss: 1.1560e-06
 71/262 [=======>......................] - ETA: 0s - loss: 8.8286e-07
108/262 [===========>..................] - ETA: 0s - loss: 7.1539e-07
148/262 [===============>..............] - ETA: 0s - loss: 1.0266e-06
181/262 [===================>..........] - ETA: 0s - loss: 9.4526e-07
217/262 [=======================>......] - ETA: 0s - loss: 8.4209e-07
256/262 [============================>.] - ETA: 0s - loss: 7.6147e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.5317e-07
    384. 

  384. Epoch 9/10
    385. 

  385. 
  1/262 [..............................] - ETA: 0s - loss: 2.4939e-07
 38/262 [===>..........................] - ETA: 0s - loss: 1.2770e-06
 73/262 [=======>......................] - ETA: 0s - loss: 7.8020e-07
112/262 [===========>..................] - ETA: 0s - loss: 5.9606e-07
153/262 [================>.............] - ETA: 0s - loss: 5.2412e-07
192/262 [====================>.........] - ETA: 0s - loss: 4.7774e-07
230/262 [=========================>....] - ETA: 0s - loss: 7.3935e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.8320e-07
    386. 

  386. Epoch 10/10
    387. 

  387. 
  1/262 [..............................] - ETA: 0s - loss: 2.6672e-07
 38/262 [===>..........................] - ETA: 0s - loss: 1.1317e-06
 76/262 [=======>......................] - ETA: 0s - loss: 7.0514e-07
116/262 [============>.................] - ETA: 0s - loss: 5.3616e-07
155/262 [================>.............] - ETA: 0s - loss: 4.5706e-07
195/262 [=====================>........] - ETA: 0s - loss: 4.1103e-07
233/262 [=========================>....] - ETA: 0s - loss: 6.0641e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.2007e-07
    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: 55s - loss: 7.0393e-07
 39/262 [===>..........................] - ETA: 0s - loss: 7.3958e-06 
 79/262 [========>.....................] - ETA: 0s - loss: 7.8995e-06
119/262 [============>.................] - ETA: 0s - loss: 8.7183e-06
159/262 [=================>............] - ETA: 0s - loss: 7.9831e-06
199/262 [=====================>........] - ETA: 0s - loss: 6.4299e-06
230/262 [=========================>....] - ETA: 0s - loss: 5.7762e-06
262/262 [==============================] - 1s 1ms/step - loss: 5.2345e-06
    427. 

  427. Epoch 2/10
    428. 

  428. 
  1/262 [..............................] - ETA: 0s - loss: 6.2303e-08
 34/262 [==>...........................] - ETA: 0s - loss: 2.6192e-05
 73/262 [=======>......................] - ETA: 0s - loss: 1.2880e-05
104/262 [==========>...................] - ETA: 0s - loss: 9.1341e-06
125/262 [=============>................] - ETA: 0s - loss: 7.6134e-06
159/262 [=================>............] - ETA: 0s - loss: 6.1964e-06
192/262 [====================>.........] - ETA: 0s - loss: 5.4127e-06
228/262 [=========================>....] - ETA: 0s - loss: 4.5898e-06
262/262 [==============================] - 0s 2ms/step - loss: 4.1338e-06
    429. 

  429. Epoch 3/10
    430. 

  430. 
  1/262 [..............................] - ETA: 0s - loss: 7.2859e-08
 34/262 [==>...........................] - ETA: 0s - loss: 1.2128e-07
 65/262 [======>.......................] - ETA: 0s - loss: 3.7665e-07
100/262 [==========>...................] - ETA: 0s - loss: 3.1689e-07
132/262 [==============>...............] - ETA: 0s - loss: 2.9833e-07
163/262 [=================>............] - ETA: 0s - loss: 8.4087e-07
194/262 [=====================>........] - ETA: 0s - loss: 9.9898e-07
230/262 [=========================>....] - ETA: 0s - loss: 9.1008e-07
262/262 [==============================] - 0s 2ms/step - loss: 8.3103e-07
    431. 

  431. Epoch 4/10
    432. 

  432. 
  1/262 [..............................] - ETA: 0s - loss: 5.7591e-08
 40/262 [===>..........................] - ETA: 0s - loss: 8.2434e-07
 81/262 [========>.....................] - ETA: 0s - loss: 5.9364e-07
120/262 [============>.................] - ETA: 0s - loss: 8.6528e-07
155/262 [================>.............] - ETA: 0s - loss: 7.4828e-07
184/262 [====================>.........] - ETA: 0s - loss: 7.4998e-07
220/262 [========================>.....] - ETA: 0s - loss: 6.5734e-07
254/262 [============================>.] - ETA: 0s - loss: 6.4028e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.2651e-07
    433. 

  433. Epoch 5/10
    434. 

  434. 
  1/262 [..............................] - ETA: 0s - loss: 7.1804e-08
 38/262 [===>..........................] - ETA: 0s - loss: 7.7215e-07
 73/262 [=======>......................] - ETA: 0s - loss: 4.6827e-07
111/262 [===========>..................] - ETA: 0s - loss: 4.0257e-07
149/262 [================>.............] - ETA: 0s - loss: 3.5404e-07
185/262 [====================>.........] - ETA: 0s - loss: 3.1042e-07
221/262 [========================>.....] - ETA: 0s - loss: 5.2979e-07
259/262 [============================>.] - ETA: 0s - loss: 4.9099e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.8785e-07
    435. 

  435. Epoch 6/10
    436. 

  436. 
  1/262 [..............................] - ETA: 0s - loss: 1.6287e-07
 38/262 [===>..........................] - ETA: 0s - loss: 9.8325e-07
 75/262 [=======>......................] - ETA: 0s - loss: 6.6890e-07
112/262 [===========>..................] - ETA: 0s - loss: 5.7562e-07
150/262 [================>.............] - ETA: 0s - loss: 5.0333e-07
188/262 [====================>.........] - ETA: 0s - loss: 4.4493e-07
226/262 [========================>.....] - ETA: 0s - loss: 4.2713e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.8012e-07
    437. 

  437. Epoch 7/10
    438. 

  438. 
  1/262 [..............................] - ETA: 0s - loss: 5.2771e-08
 41/262 [===>..........................] - ETA: 0s - loss: 4.4203e-07
 80/262 [========>.....................] - ETA: 0s - loss: 2.7326e-07
119/262 [============>.................] - ETA: 0s - loss: 2.7311e-07
150/262 [================>.............] - ETA: 0s - loss: 2.8105e-07
180/262 [===================>..........] - ETA: 0s - loss: 2.6020e-07
215/262 [=======================>......] - ETA: 0s - loss: 2.3247e-07
252/262 [===========================>..] - ETA: 0s - loss: 3.9642e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.8795e-07
    439. 

  439. Epoch 8/10
    440. 

  440. 
  1/262 [..............................] - ETA: 0s - loss: 7.2980e-08
 38/262 [===>..........................] - ETA: 0s - loss: 5.8151e-07
 79/262 [========>.....................] - ETA: 0s - loss: 4.2076e-07
120/262 [============>.................] - ETA: 0s - loss: 3.6977e-07
161/262 [=================>............] - ETA: 0s - loss: 3.1218e-07
200/262 [=====================>........] - ETA: 0s - loss: 2.7574e-07
234/262 [=========================>....] - ETA: 0s - loss: 3.7296e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.1500e-07
    441. 

  441. Epoch 9/10
    442. 

  442. 
  1/262 [..............................] - ETA: 0s - loss: 3.9296e-08
 37/262 [===>..........................] - ETA: 0s - loss: 2.7401e-07
 70/262 [=======>......................] - ETA: 0s - loss: 2.3685e-07
110/262 [===========>..................] - ETA: 0s - loss: 1.9591e-07
151/262 [================>.............] - ETA: 0s - loss: 1.9477e-07
191/262 [====================>.........] - ETA: 0s - loss: 1.7797e-07
230/262 [=========================>....] - ETA: 0s - loss: 1.9207e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.7423e-07
    443. 

  443. Epoch 10/10
    444. 

  444. 
  1/262 [..............................] - ETA: 0s - loss: 6.1200e-08
 39/262 [===>..........................] - ETA: 0s - loss: 3.3211e-07
 79/262 [========>.....................] - ETA: 0s - loss: 4.1214e-07
120/262 [============>.................] - ETA: 0s - loss: 3.4325e-07
161/262 [=================>............] - ETA: 0s - loss: 2.9272e-07
201/262 [======================>.......] - ETA: 0s - loss: 2.6940e-07
241/262 [==========================>...] - ETA: 0s - loss: 2.3646e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.2831e-07
    445. 

  445. -> test with GAN.predict
    446. 

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

  447. GAN fn, tp: 0, 10
    448. 

  448. GAN f1 score: 1.000
    449. 

  449. GAN cohens kappa score: 1.000
    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: 2, 8
    473. 

  473. KNN f1 score: 0.800
    474. 

  474. KNN cohens kappa score: 0.797
    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: 40s - loss: 6.9867e-06
 42/262 [===>..........................] - ETA: 0s - loss: 5.1699e-07 
 82/262 [========>.....................] - ETA: 0s - loss: 3.2954e-04
123/262 [=============>................] - ETA: 0s - loss: 2.2185e-04
164/262 [=================>............] - ETA: 0s - loss: 1.6674e-04
203/262 [======================>.......] - ETA: 0s - loss: 2.2887e-04
241/262 [==========================>...] - ETA: 0s - loss: 1.9304e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.7812e-04
    484. 

  484. Epoch 2/10
    485. 

  485. 
  1/262 [..............................] - ETA: 0s - loss: 8.6696e-08
 42/262 [===>..........................] - ETA: 0s - loss: 5.5141e-07
 82/262 [========>.....................] - ETA: 0s - loss: 0.0060    
120/262 [============>.................] - ETA: 0s - loss: 0.0041
155/262 [================>.............] - ETA: 0s - loss: 0.0032
191/262 [====================>.........] - ETA: 0s - loss: 0.0026
224/262 [========================>.....] - ETA: 0s - loss: 0.0049
258/262 [============================>.] - ETA: 0s - loss: 0.0042
262/262 [==============================] - 0s 1ms/step - loss: 0.0042
    486. 

  486. Epoch 3/10
    487. 

  487. 
  1/262 [..............................] - ETA: 0s - loss: 3.0245e-05
 38/262 [===>..........................] - ETA: 0s - loss: 1.4899e-04
 77/262 [=======>......................] - ETA: 0s - loss: 8.4000e-05
117/262 [============>.................] - ETA: 0s - loss: 5.5709e-05
157/262 [================>.............] - ETA: 0s - loss: 4.2691e-05
193/262 [=====================>........] - ETA: 0s - loss: 3.5476e-05
229/262 [=========================>....] - ETA: 0s - loss: 3.0228e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.7992e-04
    488. 

  488. Epoch 4/10
    489. 

  489. 
  1/262 [..............................] - ETA: 0s - loss: 2.6686e-07
 40/262 [===>..........................] - ETA: 0s - loss: 2.4698e-05
 81/262 [========>.....................] - ETA: 0s - loss: 1.4014e-05
118/262 [============>.................] - ETA: 0s - loss: 1.1035e-05
159/262 [=================>............] - ETA: 0s - loss: 9.2282e-06
198/262 [=====================>........] - ETA: 0s - loss: 7.7979e-06
238/262 [==========================>...] - ETA: 0s - loss: 7.2181e-06
262/262 [==============================] - 0s 1ms/step - loss: 6.7865e-06
    490. 

  490. Epoch 5/10
    491. 

  491. 
  1/262 [..............................] - ETA: 0s - loss: 2.9632e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.0664e-06
 82/262 [========>.....................] - ETA: 0s - loss: 1.7248e-06
123/262 [=============>................] - ETA: 0s - loss: 1.4526e-06
163/262 [=================>............] - ETA: 0s - loss: 1.4997e-06
203/262 [======================>.......] - ETA: 0s - loss: 1.2913e-06
242/262 [==========================>...] - ETA: 0s - loss: 1.4208e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.3434e-06
    492. 

  492. Epoch 6/10
    493. 

  493. 
  1/262 [..............................] - ETA: 0s - loss: 8.7128e-08
 41/262 [===>..........................] - ETA: 0s - loss: 8.4204e-07
 81/262 [========>.....................] - ETA: 0s - loss: 8.9849e-07
121/262 [============>.................] - ETA: 0s - loss: 8.7655e-07
161/262 [=================>............] - ETA: 0s - loss: 9.8053e-07
201/262 [======================>.......] - ETA: 0s - loss: 8.8209e-07
240/262 [==========================>...] - ETA: 0s - loss: 8.3106e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.8681e-07
    494. 

  494. Epoch 7/10
    495. 

  495. 
  1/262 [..............................] - ETA: 0s - loss: 2.9900e-07
 41/262 [===>..........................] - ETA: 0s - loss: 7.1762e-07
 82/262 [========>.....................] - ETA: 0s - loss: 5.8731e-07
121/262 [============>.................] - ETA: 0s - loss: 1.0619e-06
160/262 [=================>............] - ETA: 0s - loss: 8.6525e-07
200/262 [=====================>........] - ETA: 0s - loss: 7.9129e-07
240/262 [==========================>...] - ETA: 0s - loss: 7.2368e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.1196e-07
    496. 

  496. Epoch 8/10
    497. 

  497. 
  1/262 [..............................] - ETA: 0s - loss: 7.3273e-08
 38/262 [===>..........................] - ETA: 0s - loss: 3.4800e-07
 79/262 [========>.....................] - ETA: 0s - loss: 3.0022e-07
112/262 [===========>..................] - ETA: 0s - loss: 4.8100e-07
149/262 [================>.............] - ETA: 0s - loss: 5.1642e-07
187/262 [====================>.........] - ETA: 0s - loss: 5.0707e-07
227/262 [========================>.....] - ETA: 0s - loss: 7.1031e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.3111e-07
    498. 

  498. Epoch 9/10
    499. 

  499. 
  1/262 [..............................] - ETA: 0s - loss: 5.4277e-07
 32/262 [==>...........................] - ETA: 0s - loss: 1.0726e-06
 59/262 [=====>........................] - ETA: 0s - loss: 6.5765e-07
 88/262 [=========>....................] - ETA: 0s - loss: 5.7508e-07
117/262 [============>.................] - ETA: 0s - loss: 4.6968e-07
144/262 [===============>..............] - ETA: 0s - loss: 4.7959e-07
175/262 [===================>..........] - ETA: 0s - loss: 4.4062e-07
203/262 [======================>.......] - ETA: 0s - loss: 3.9607e-07
234/262 [=========================>....] - ETA: 0s - loss: 3.7398e-07
262/262 [==============================] - 0s 2ms/step - loss: 5.8676e-07
    500. 

  500. Epoch 10/10
    501. 

  501. 
  1/262 [..............................] - ETA: 0s - loss: 4.5209e-08
 33/262 [==>...........................] - ETA: 0s - loss: 2.4339e-07
 70/262 [=======>......................] - ETA: 0s - loss: 2.8417e-07
105/262 [===========>..................] - ETA: 0s - loss: 8.1352e-07
142/262 [===============>..............] - ETA: 0s - loss: 7.0906e-07
179/262 [===================>..........] - ETA: 0s - loss: 6.3888e-07
215/262 [=======================>......] - ETA: 0s - loss: 6.0396e-07
252/262 [===========================>..] - ETA: 0s - loss: 5.3176e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.5209e-07
    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: 1:10 - loss: 2.5024e-07
 33/262 [==>...........................] - ETA: 0s - loss: 3.6942e-05  
 69/262 [======>.......................] - ETA: 0s - loss: 1.8724e-05
107/262 [===========>..................] - ETA: 0s - loss: 1.3629e-05
145/262 [===============>..............] - ETA: 0s - loss: 1.4900e-05
181/262 [===================>..........] - ETA: 0s - loss: 1.6321e-05
217/262 [=======================>......] - ETA: 0s - loss: 1.4287e-05
256/262 [============================>.] - ETA: 0s - loss: 1.2260e-05
262/262 [==============================] - 1s 1ms/step - loss: 1.2007e-05
    541. 

  541. Epoch 2/10
    542. 

  542. 
  1/262 [..............................] - ETA: 0s - loss: 3.0596e-07
 36/262 [===>..........................] - ETA: 0s - loss: 9.6687e-07
 73/262 [=======>......................] - ETA: 0s - loss: 1.4760e-06
112/262 [===========>..................] - ETA: 0s - loss: 1.3951e-06
151/262 [================>.............] - ETA: 0s - loss: 1.4140e-06
187/262 [====================>.........] - ETA: 0s - loss: 2.3982e-06
217/262 [=======================>......] - ETA: 0s - loss: 2.8423e-06
245/262 [===========================>..] - ETA: 0s - loss: 2.7338e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.5627e-06
    543. 

  543. Epoch 3/10
    544. 

  544. 
  1/262 [..............................] - ETA: 0s - loss: 1.9024e-05
 39/262 [===>..........................] - ETA: 0s - loss: 1.5503e-05
 77/262 [=======>......................] - ETA: 0s - loss: 9.2910e-06
117/262 [============>.................] - ETA: 0s - loss: 6.4683e-06
156/262 [================>.............] - ETA: 0s - loss: 5.4357e-06
196/262 [=====================>........] - ETA: 0s - loss: 4.5872e-06
233/262 [=========================>....] - ETA: 0s - loss: 4.0228e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.7686e-06
    545. 

  545. Epoch 4/10
    546. 

  546. 
  1/262 [..............................] - ETA: 0s - loss: 2.5040e-07
 38/262 [===>..........................] - ETA: 0s - loss: 2.6525e-05
 74/262 [=======>......................] - ETA: 0s - loss: 1.5230e-05
112/262 [===========>..................] - ETA: 0s - loss: 1.0603e-05
149/262 [================>.............] - ETA: 0s - loss: 8.1530e-06
185/262 [====================>.........] - ETA: 0s - loss: 6.6683e-06
225/262 [========================>.....] - ETA: 0s - loss: 5.6011e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.9454e-06
    547. 

  547. Epoch 5/10
    548. 

  548. 
  1/262 [..............................] - ETA: 0s - loss: 9.6220e-08
 41/262 [===>..........................] - ETA: 0s - loss: 1.9694e-06
 79/262 [========>.....................] - ETA: 0s - loss: 1.9166e-06
115/262 [============>.................] - ETA: 0s - loss: 1.4748e-06
144/262 [===============>..............] - ETA: 0s - loss: 6.0453e-06
182/262 [===================>..........] - ETA: 0s - loss: 5.6792e-06
220/262 [========================>.....] - ETA: 0s - loss: 4.8403e-06
258/262 [============================>.] - ETA: 0s - loss: 4.2123e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.1562e-06
    549. 

  549. Epoch 6/10
    550. 

  550. 
  1/262 [..............................] - ETA: 0s - loss: 3.4898e-07
 39/262 [===>..........................] - ETA: 0s - loss: 1.0263e-06
 78/262 [=======>......................] - ETA: 0s - loss: 1.2403e-06
117/262 [============>.................] - ETA: 0s - loss: 1.0381e-06
157/262 [================>.............] - ETA: 0s - loss: 1.8275e-06
195/262 [=====================>........] - ETA: 0s - loss: 1.6651e-06
231/262 [=========================>....] - ETA: 0s - loss: 1.6222e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5460e-06
    551. 

  551. Epoch 7/10
    552. 

  552. 
  1/262 [..............................] - ETA: 0s - loss: 8.4196e-07
 39/262 [===>..........................] - ETA: 0s - loss: 7.9593e-07
 78/262 [=======>......................] - ETA: 0s - loss: 6.0828e-07
113/262 [===========>..................] - ETA: 0s - loss: 5.2089e-07
151/262 [================>.............] - ETA: 0s - loss: 2.6129e-06
190/262 [====================>.........] - ETA: 0s - loss: 2.3335e-06
228/262 [=========================>....] - ETA: 0s - loss: 2.0687e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.9221e-06
    553. 

  553. Epoch 8/10
    554. 

  554. 
  1/262 [..............................] - ETA: 0s - loss: 2.9353e-07
 39/262 [===>..........................] - ETA: 0s - loss: 4.4026e-07
 74/262 [=======>......................] - ETA: 0s - loss: 5.9329e-07
112/262 [===========>..................] - ETA: 0s - loss: 4.7663e-07
151/262 [================>.............] - ETA: 0s - loss: 1.7867e-06
190/262 [====================>.........] - ETA: 0s - loss: 1.5286e-06
223/262 [========================>.....] - ETA: 0s - loss: 1.3524e-06
256/262 [============================>.] - ETA: 0s - loss: 1.2662e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2454e-06
    555. 

  555. Epoch 9/10
    556. 

  556. 
  1/262 [..............................] - ETA: 0s - loss: 1.3999e-07
 37/262 [===>..........................] - ETA: 0s - loss: 1.3363e-07
 73/262 [=======>......................] - ETA: 0s - loss: 3.1000e-07
111/262 [===========>..................] - ETA: 0s - loss: 2.5766e-07
149/262 [================>.............] - ETA: 0s - loss: 3.1415e-07
184/262 [====================>.........] - ETA: 0s - loss: 1.4310e-06
214/262 [=======================>......] - ETA: 0s - loss: 1.0639e-05
252/262 [===========================>..] - ETA: 0s - loss: 4.6438e-04
262/262 [==============================] - 0s 1ms/step - loss: 4.4734e-04
    557. 

  557. Epoch 10/10
    558. 

  558. 
  1/262 [..............................] - ETA: 0s - loss: 3.2535e-07
 39/262 [===>..........................] - ETA: 0s - loss: 0.0036    
 76/262 [=======>......................] - ETA: 0s - loss: 0.0020
116/262 [============>.................] - ETA: 0s - loss: 0.0014
151/262 [================>.............] - ETA: 0s - loss: 0.0011
190/262 [====================>.........] - ETA: 0s - loss: 8.7495e-04
227/262 [========================>.....] - ETA: 0s - loss: 7.3533e-04
262/262 [==============================] - 0s 1ms/step - loss: 6.3816e-04
    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: 1:12 - loss: 1.0660e-06
 31/262 [==>...........................] - ETA: 0s - loss: 7.4120e-05  
 59/262 [=====>........................] - ETA: 0s - loss: 4.4626e-05
 94/262 [=========>....................] - ETA: 0s - loss: 2.6890e-04
121/262 [============>.................] - ETA: 0s - loss: 7.5755e-04
155/262 [================>.............] - ETA: 0s - loss: 5.9258e-04
188/262 [====================>.........] - ETA: 0s - loss: 6.2309e-04
217/262 [=======================>......] - ETA: 0s - loss: 5.5337e-04
247/262 [===========================>..] - ETA: 0s - loss: 4.8646e-04
262/262 [==============================] - 1s 2ms/step - loss: 4.6014e-04
    602. 

  602. Epoch 2/10
    603. 

  603. 
  1/262 [..............................] - ETA: 0s - loss: 1.3009e-06
 22/262 [=>............................] - ETA: 0s - loss: 9.5415e-06
 49/262 [====>.........................] - ETA: 0s - loss: 1.3492e-04
 86/262 [========>.....................] - ETA: 0s - loss: 8.6237e-05
116/262 [============>.................] - ETA: 0s - loss: 6.4900e-05
145/262 [===============>..............] - ETA: 0s - loss: 5.3435e-05
173/262 [==================>...........] - ETA: 0s - loss: 4.5052e-05
207/262 [======================>.......] - ETA: 0s - loss: 3.8192e-05
235/262 [=========================>....] - ETA: 0s - loss: 3.3908e-05
254/262 [============================>.] - ETA: 0s - loss: 3.4619e-05
262/262 [==============================] - 0s 2ms/step - loss: 3.3704e-05
    604. 

  604. Epoch 3/10
    605. 

  605. 
  1/262 [..............................] - ETA: 0s - loss: 2.4460e-05
 28/262 [==>...........................] - ETA: 0s - loss: 6.7364e-04
 50/262 [====>.........................] - ETA: 0s - loss: 3.8747e-04
 70/262 [=======>......................] - ETA: 0s - loss: 7.1960e-04
 87/262 [========>.....................] - ETA: 0s - loss: 6.0687e-04
110/262 [===========>..................] - ETA: 0s - loss: 0.0012    
140/262 [===============>..............] - ETA: 0s - loss: 9.6342e-04
169/262 [==================>...........] - ETA: 0s - loss: 8.0160e-04
199/262 [=====================>........] - ETA: 0s - loss: 6.8285e-04
231/262 [=========================>....] - ETA: 0s - loss: 5.9038e-04
260/262 [============================>.] - ETA: 0s - loss: 5.2535e-04
262/262 [==============================] - 1s 2ms/step - loss: 5.2277e-04
    606. 

  606. Epoch 4/10
    607. 

  607. 
  1/262 [..............................] - ETA: 0s - loss: 1.0005e-05
 32/262 [==>...........................] - ETA: 0s - loss: 4.3208e-04
 57/262 [=====>........................] - ETA: 0s - loss: 2.4387e-04
 84/262 [========>.....................] - ETA: 0s - loss: 1.7084e-04
112/262 [===========>..................] - ETA: 0s - loss: 1.5089e-04
140/262 [===============>..............] - ETA: 0s - loss: 1.2211e-04
166/262 [==================>...........] - ETA: 0s - loss: 1.0433e-04
196/262 [=====================>........] - ETA: 0s - loss: 8.9460e-05
230/262 [=========================>....] - ETA: 0s - loss: 8.1158e-05
262/262 [==============================] - ETA: 0s - loss: 7.1801e-05
262/262 [==============================] - 0s 2ms/step - loss: 7.1801e-05
    608. 

  608. Epoch 5/10
    609. 

  609. 
  1/262 [..............................] - ETA: 0s - loss: 1.1255e-05
 29/262 [==>...........................] - ETA: 0s - loss: 1.0326e-05
 57/262 [=====>........................] - ETA: 0s - loss: 6.1534e-06
 80/262 [========>.....................] - ETA: 0s - loss: 4.9035e-06
102/262 [==========>...................] - ETA: 0s - loss: 4.3215e-06
117/262 [============>.................] - ETA: 0s - loss: 4.3222e-06
136/262 [==============>...............] - ETA: 0s - loss: 3.8475e-06
152/262 [================>.............] - ETA: 0s - loss: 3.5677e-06
171/262 [==================>...........] - ETA: 0s - loss: 3.2610e-06
203/262 [======================>.......] - ETA: 0s - loss: 5.9381e-06
231/262 [=========================>....] - ETA: 0s - loss: 5.4495e-06
261/262 [============================>.] - ETA: 0s - loss: 5.5802e-06
262/262 [==============================] - 1s 2ms/step - loss: 5.5777e-06
    610. 

  610. Epoch 6/10
    611. 

  611. 
  1/262 [..............................] - ETA: 0s - loss: 5.6708e-07
 23/262 [=>............................] - ETA: 0s - loss: 2.3713e-06
 43/262 [===>..........................] - ETA: 0s - loss: 1.8958e-06
 60/262 [=====>........................] - ETA: 0s - loss: 1.8442e-06
 84/262 [========>.....................] - ETA: 0s - loss: 2.1087e-06
114/262 [============>.................] - ETA: 0s - loss: 1.9383e-06
146/262 [===============>..............] - ETA: 0s - loss: 2.0288e-06
171/262 [==================>...........] - ETA: 0s - loss: 1.8125e-06
198/262 [=====================>........] - ETA: 0s - loss: 1.6678e-06
225/262 [========================>.....] - ETA: 0s - loss: 4.7933e-06
253/262 [===========================>..] - ETA: 0s - loss: 4.3828e-06
262/262 [==============================] - 1s 2ms/step - loss: 4.2910e-06
    612. 

  612. Epoch 7/10
    613. 

  613. 
  1/262 [..............................] - ETA: 0s - loss: 1.5114e-05
 31/262 [==>...........................] - ETA: 0s - loss: 3.3400e-06
 48/262 [====>.........................] - ETA: 0s - loss: 2.4459e-06
 68/262 [======>.......................] - ETA: 0s - loss: 5.8153e-06
 90/262 [=========>....................] - ETA: 0s - loss: 4.9321e-06
118/262 [============>.................] - ETA: 0s - loss: 4.5803e-06
145/262 [===============>..............] - ETA: 0s - loss: 4.0061e-06
160/262 [=================>............] - ETA: 0s - loss: 3.6992e-06
175/262 [===================>..........] - ETA: 0s - loss: 3.5150e-06
189/262 [====================>.........] - ETA: 0s - loss: 3.3136e-06
216/262 [=======================>......] - ETA: 0s - loss: 3.0510e-06
247/262 [===========================>..] - ETA: 0s - loss: 2.7538e-06
262/262 [==============================] - 1s 2ms/step - loss: 3.5951e-06
    614. 

  614. Epoch 8/10
    615. 

  615. 
  1/262 [..............................] - ETA: 0s - loss: 7.2365e-07
 31/262 [==>...........................] - ETA: 0s - loss: 1.2246e-06
 59/262 [=====>........................] - ETA: 0s - loss: 1.3150e-06
 88/262 [=========>....................] - ETA: 0s - loss: 1.2707e-06
118/262 [============>.................] - ETA: 0s - loss: 1.3432e-06
142/262 [===============>..............] - ETA: 0s - loss: 1.4877e-06
171/262 [==================>...........] - ETA: 0s - loss: 2.6225e-06
207/262 [======================>.......] - ETA: 0s - loss: 2.4170e-06
237/262 [==========================>...] - ETA: 0s - loss: 2.5349e-06
259/262 [============================>.] - ETA: 0s - loss: 3.2635e-06
262/262 [==============================] - 0s 2ms/step - loss: 3.2387e-06
    616. 

  616. Epoch 9/10
    617. 

  617. 
  1/262 [..............................] - ETA: 0s - loss: 2.4789e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.3768e-06
 69/262 [======>.......................] - ETA: 0s - loss: 1.3464e-06
 99/262 [==========>...................] - ETA: 0s - loss: 1.2257e-06
123/262 [=============>................] - ETA: 0s - loss: 1.1638e-06
147/262 [===============>..............] - ETA: 0s - loss: 1.1442e-06
171/262 [==================>...........] - ETA: 0s - loss: 2.1989e-06
197/262 [=====================>........] - ETA: 0s - loss: 2.1942e-06
221/262 [========================>.....] - ETA: 0s - loss: 2.1818e-06
246/262 [===========================>..] - ETA: 0s - loss: 3.0606e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.9414e-06
    618. 

  618. Epoch 10/10
    619. 

  619. 
  1/262 [..............................] - ETA: 0s - loss: 1.5334e-07
 26/262 [=>............................] - ETA: 0s - loss: 1.0191e-06
 55/262 [=====>........................] - ETA: 0s - loss: 4.0717e-06
 83/262 [========>.....................] - ETA: 0s - loss: 3.0758e-06
118/262 [============>.................] - ETA: 0s - loss: 2.5728e-06
151/262 [================>.............] - ETA: 0s - loss: 3.1998e-06
179/262 [===================>..........] - ETA: 0s - loss: 3.3093e-06
207/262 [======================>.......] - ETA: 0s - loss: 2.9889e-06
226/262 [========================>.....] - ETA: 0s - loss: 2.8816e-06
246/262 [===========================>..] - ETA: 0s - loss: 2.7552e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.6357e-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: 54s - loss: 4.6905e-07
 29/262 [==>...........................] - ETA: 0s - loss: 1.6363e-06 
 52/262 [====>.........................] - ETA: 0s - loss: 1.2521e-05
 66/262 [======>.......................] - ETA: 0s - loss: 1.0938e-05
 79/262 [========>.....................] - ETA: 0s - loss: 9.2352e-06
 89/262 [=========>....................] - ETA: 0s - loss: 8.3074e-06
100/262 [==========>...................] - ETA: 0s - loss: 7.4758e-06
124/262 [=============>................] - ETA: 0s - loss: 6.1112e-06
154/262 [================>.............] - ETA: 0s - loss: 5.3945e-05
186/262 [====================>.........] - ETA: 0s - loss: 4.1369e-04
217/262 [=======================>......] - ETA: 0s - loss: 3.5770e-04
246/262 [===========================>..] - ETA: 0s - loss: 3.1581e-04
262/262 [==============================] - 1s 2ms/step - loss: 2.9734e-04
    659. 

  659. Epoch 2/10
    660. 

  660. 
  1/262 [..............................] - ETA: 0s - loss: 8.4698e-08
 31/262 [==>...........................] - ETA: 0s - loss: 2.5925e-07
 61/262 [=====>........................] - ETA: 0s - loss: 2.3652e-04
 85/262 [========>.....................] - ETA: 0s - loss: 1.7700e-04
118/262 [============>.................] - ETA: 0s - loss: 1.2812e-04
153/262 [================>.............] - ETA: 0s - loss: 9.9138e-05
180/262 [===================>..........] - ETA: 0s - loss: 8.4488e-05
210/262 [=======================>......] - ETA: 0s - loss: 7.2524e-05
231/262 [=========================>....] - ETA: 0s - loss: 6.7361e-05
258/262 [============================>.] - ETA: 0s - loss: 6.0495e-05
262/262 [==============================] - 0s 2ms/step - loss: 5.9737e-05
    661. 

  661. Epoch 3/10
    662. 

  662. 
  1/262 [..............................] - ETA: 0s - loss: 1.9157e-07
 28/262 [==>...........................] - ETA: 0s - loss: 2.3628e-06
 56/262 [=====>........................] - ETA: 0s - loss: 1.5332e-06
 78/262 [=======>......................] - ETA: 0s - loss: 1.2714e-06
101/262 [==========>...................] - ETA: 0s - loss: 1.1513e-06
120/262 [============>.................] - ETA: 0s - loss: 1.4649e-06
151/262 [================>.............] - ETA: 0s - loss: 1.7545e-06
178/262 [===================>..........] - ETA: 0s - loss: 3.2129e-06
205/262 [======================>.......] - ETA: 0s - loss: 2.8570e-06
230/262 [=========================>....] - ETA: 0s - loss: 2.6382e-06
259/262 [============================>.] - ETA: 0s - loss: 2.4368e-06
262/262 [==============================] - 1s 2ms/step - loss: 2.4197e-06
    663. 

  663. Epoch 4/10
    664. 

  664. 
  1/262 [..............................] - ETA: 0s - loss: 1.0993e-06
 29/262 [==>...........................] - ETA: 0s - loss: 6.6624e-07
 60/262 [=====>........................] - ETA: 0s - loss: 8.1332e-07
 90/262 [=========>....................] - ETA: 0s - loss: 8.2705e-07
122/262 [============>.................] - ETA: 0s - loss: 8.9898e-07
157/262 [================>.............] - ETA: 0s - loss: 1.0211e-06
186/262 [====================>.........] - ETA: 0s - loss: 9.0979e-07
210/262 [=======================>......] - ETA: 0s - loss: 8.4080e-07
232/262 [=========================>....] - ETA: 0s - loss: 7.9331e-07
254/262 [============================>.] - ETA: 0s - loss: 8.0767e-07
262/262 [==============================] - 0s 2ms/step - loss: 1.0346e-06
    665. 

  665. Epoch 5/10
    666. 

  666. 
  1/262 [..............................] - ETA: 0s - loss: 1.6815e-06
 14/262 [>.............................] - ETA: 0s - loss: 1.6169e-06
 39/262 [===>..........................] - ETA: 0s - loss: 1.1712e-06
 66/262 [======>.......................] - ETA: 0s - loss: 9.2768e-07
100/262 [==========>...................] - ETA: 0s - loss: 8.0903e-07
130/262 [=============>................] - ETA: 0s - loss: 1.0698e-06
158/262 [=================>............] - ETA: 0s - loss: 9.7915e-07
193/262 [=====================>........] - ETA: 0s - loss: 9.3580e-07
219/262 [========================>.....] - ETA: 0s - loss: 8.6855e-07
254/262 [============================>.] - ETA: 0s - loss: 8.0044e-07
262/262 [==============================] - 0s 2ms/step - loss: 8.1038e-07
    667. 

  667. Epoch 6/10
    668. 

  668. 
  1/262 [..............................] - ETA: 0s - loss: 4.6482e-07
 26/262 [=>............................] - ETA: 0s - loss: 2.4601e-07
 48/262 [====>.........................] - ETA: 0s - loss: 4.0500e-07
 73/262 [=======>......................] - ETA: 0s - loss: 4.4451e-07
109/262 [===========>..................] - ETA: 0s - loss: 3.7206e-07
130/262 [=============>................] - ETA: 0s - loss: 4.6063e-07
155/262 [================>.............] - ETA: 0s - loss: 4.6209e-07
180/262 [===================>..........] - ETA: 0s - loss: 4.4814e-07
208/262 [======================>.......] - ETA: 0s - loss: 4.3341e-07
239/262 [==========================>...] - ETA: 0s - loss: 7.1589e-07
262/262 [==============================] - 1s 2ms/step - loss: 6.9898e-07
    669. 

  669. Epoch 7/10
    670. 

  670. 
  1/262 [..............................] - ETA: 0s - loss: 9.8895e-08
 33/262 [==>...........................] - ETA: 0s - loss: 1.4784e-06
 60/262 [=====>........................] - ETA: 0s - loss: 1.1256e-06
 91/262 [=========>....................] - ETA: 0s - loss: 1.0529e-06
117/262 [============>.................] - ETA: 0s - loss: 9.7221e-07
145/262 [===============>..............] - ETA: 0s - loss: 8.4918e-07
176/262 [===================>..........] - ETA: 0s - loss: 7.4149e-07
211/262 [=======================>......] - ETA: 0s - loss: 6.5760e-07
239/262 [==========================>...] - ETA: 0s - loss: 6.6375e-07
262/262 [==============================] - 0s 2ms/step - loss: 6.3441e-07
    671. 

  671. Epoch 8/10
    672. 

  672. 
  1/262 [..............................] - ETA: 0s - loss: 3.9470e-08
 34/262 [==>...........................] - ETA: 0s - loss: 3.8703e-07
 61/262 [=====>........................] - ETA: 0s - loss: 2.9187e-07
 91/262 [=========>....................] - ETA: 0s - loss: 3.3594e-07
113/262 [===========>..................] - ETA: 0s - loss: 4.2305e-07
138/262 [==============>...............] - ETA: 0s - loss: 3.9541e-07
149/262 [================>.............] - ETA: 0s - loss: 7.7175e-07
170/262 [==================>...........] - ETA: 0s - loss: 7.4264e-07
197/262 [=====================>........] - ETA: 0s - loss: 7.0030e-07
221/262 [========================>.....] - ETA: 0s - loss: 7.0650e-07
244/262 [==========================>...] - ETA: 0s - loss: 6.6044e-07
262/262 [==============================] - 1s 2ms/step - loss: 6.3122e-07
    673. 

  673. Epoch 9/10
    674. 

  674. 
  1/262 [..............................] - ETA: 0s - loss: 1.3687e-07
 30/262 [==>...........................] - ETA: 0s - loss: 6.7805e-07
 61/262 [=====>........................] - ETA: 0s - loss: 5.3373e-07
 99/262 [==========>...................] - ETA: 0s - loss: 4.1072e-07
124/262 [=============>................] - ETA: 0s - loss: 3.6549e-07
160/262 [=================>............] - ETA: 0s - loss: 7.9196e-07
192/262 [====================>.........] - ETA: 0s - loss: 7.3074e-07
215/262 [=======================>......] - ETA: 0s - loss: 6.8308e-07
233/262 [=========================>....] - ETA: 0s - loss: 6.4517e-07
262/262 [==============================] - 0s 2ms/step - loss: 6.0468e-07
    675. 

  675. Epoch 10/10
    676. 

  676. 
  1/262 [..............................] - ETA: 0s - loss: 5.5962e-08
 28/262 [==>...........................] - ETA: 0s - loss: 1.8910e-06
 54/262 [=====>........................] - ETA: 0s - loss: 1.1805e-06
 84/262 [========>.....................] - ETA: 0s - loss: 1.0460e-06
113/262 [===========>..................] - ETA: 0s - loss: 8.3408e-07
145/262 [===============>..............] - ETA: 0s - loss: 7.0744e-07
164/262 [=================>............] - ETA: 0s - loss: 6.4490e-07
188/262 [====================>.........] - ETA: 0s - loss: 5.9282e-07
211/262 [=======================>......] - ETA: 0s - loss: 5.6656e-07
237/262 [==========================>...] - ETA: 0s - loss: 5.4084e-07
262/262 [==============================] - 1s 2ms/step - loss: 5.2949e-07
    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: 654, 0
    685. 

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

  686. LR f1 score: 1.000
    687. 

  687. LR cohens kappa score: 1.000
    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: 0, 10
    705. 

  705. KNN f1 score: 0.952
    706. 

  706. KNN cohens kappa score: 0.952
    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: 1:21 - loss: 9.3392e-08
 27/262 [==>...........................] - ETA: 0s - loss: 2.3047e-07  
 53/262 [=====>........................] - ETA: 0s - loss: 8.4142e-06
 81/262 [========>.....................] - ETA: 0s - loss: 1.3849e-05
103/262 [==========>...................] - ETA: 0s - loss: 1.0921e-05
128/262 [=============>................] - ETA: 0s - loss: 1.0697e-05
157/262 [================>.............] - ETA: 0s - loss: 0.0011    
186/262 [====================>.........] - ETA: 0s - loss: 9.2852e-04
215/262 [=======================>......] - ETA: 0s - loss: 0.0021    
237/262 [==========================>...] - ETA: 0s - loss: 0.0019
261/262 [============================>.] - ETA: 0s - loss: 0.0018
262/262 [==============================] - 1s 2ms/step - loss: 0.0018
    716. 

  716. Epoch 2/10
    717. 

  717. 
  1/262 [..............................] - ETA: 0s - loss: 2.6381e-07
 25/262 [=>............................] - ETA: 0s - loss: 1.1703e-06
 46/262 [====>.........................] - ETA: 0s - loss: 8.1249e-07
 68/262 [======>.......................] - ETA: 0s - loss: 2.3366e-06
 89/262 [=========>....................] - ETA: 0s - loss: 2.1552e-06
113/262 [===========>..................] - ETA: 0s - loss: 1.9085e-06
143/262 [===============>..............] - ETA: 0s - loss: 1.5898e-06
168/262 [==================>...........] - ETA: 0s - loss: 5.7135e-04
193/262 [=====================>........] - ETA: 0s - loss: 4.9738e-04
216/262 [=======================>......] - ETA: 0s - loss: 4.4466e-04
243/262 [==========================>...] - ETA: 0s - loss: 4.5095e-04
262/262 [==============================] - 1s 2ms/step - loss: 4.1999e-04
    718. 

  718. Epoch 3/10
    719. 

  719. 
  1/262 [..............................] - ETA: 0s - loss: 2.8444e-07
 33/262 [==>...........................] - ETA: 0s - loss: 4.9025e-06
 58/262 [=====>........................] - ETA: 0s - loss: 4.6750e-06
 79/262 [========>.....................] - ETA: 0s - loss: 9.9953e-06
109/262 [===========>..................] - ETA: 0s - loss: 7.6974e-06
133/262 [==============>...............] - ETA: 0s - loss: 6.4733e-06
155/262 [================>.............] - ETA: 0s - loss: 5.6405e-06
179/262 [===================>..........] - ETA: 0s - loss: 5.0389e-06
203/262 [======================>.......] - ETA: 0s - loss: 4.6840e-06
227/262 [========================>.....] - ETA: 0s - loss: 4.4515e-06
250/262 [===========================>..] - ETA: 0s - loss: 4.1432e-06
262/262 [==============================] - 1s 2ms/step - loss: 4.5484e-06
    720. 

  720. Epoch 4/10
    721. 

  721. 
  1/262 [..............................] - ETA: 0s - loss: 1.7077e-07
 28/262 [==>...........................] - ETA: 0s - loss: 6.6263e-07
 48/262 [====>.........................] - ETA: 0s - loss: 9.6107e-07
 77/262 [=======>......................] - ETA: 0s - loss: 2.6124e-06
101/262 [==========>...................] - ETA: 0s - loss: 2.7741e-06
127/262 [=============>................] - ETA: 0s - loss: 2.3744e-06
157/262 [================>.............] - ETA: 0s - loss: 2.0532e-06
181/262 [===================>..........] - ETA: 0s - loss: 2.0703e-06
208/262 [======================>.......] - ETA: 0s - loss: 1.9299e-06
237/262 [==========================>...] - ETA: 0s - loss: 1.9143e-06
262/262 [==============================] - ETA: 0s - loss: 1.8013e-06
262/262 [==============================] - 1s 2ms/step - loss: 1.8013e-06
    722. 

  722. Epoch 5/10
    723. 

  723. 
  1/262 [..............................] - ETA: 0s - loss: 1.2293e-05
 24/262 [=>............................] - ETA: 0s - loss: 2.8517e-06
 53/262 [=====>........................] - ETA: 0s - loss: 3.1893e-06
 77/262 [=======>......................] - ETA: 0s - loss: 2.7263e-06
102/262 [==========>...................] - ETA: 0s - loss: 2.2388e-06
124/262 [=============>................] - ETA: 0s - loss: 1.8793e-06
150/262 [================>.............] - ETA: 0s - loss: 1.6164e-06
172/262 [==================>...........] - ETA: 0s - loss: 1.4852e-06
201/262 [======================>.......] - ETA: 0s - loss: 1.4599e-06
226/262 [========================>.....] - ETA: 0s - loss: 1.4084e-06
252/262 [===========================>..] - ETA: 0s - loss: 1.3027e-06
262/262 [==============================] - 1s 2ms/step - loss: 1.2761e-06
    724. 

  724. Epoch 6/10
    725. 

  725. 
  1/262 [..............................] - ETA: 0s - loss: 8.1322e-07
 26/262 [=>............................] - ETA: 0s - loss: 1.1596e-06
 46/262 [====>.........................] - ETA: 0s - loss: 1.1953e-06
 71/262 [=======>......................] - ETA: 0s - loss: 1.3693e-06
 93/262 [=========>....................] - ETA: 0s - loss: 1.3225e-06
114/262 [============>.................] - ETA: 0s - loss: 1.2156e-06
137/262 [==============>...............] - ETA: 0s - loss: 1.3807e-06
164/262 [=================>............] - ETA: 0s - loss: 1.2120e-06
189/262 [====================>.........] - ETA: 0s - loss: 1.0921e-06
216/262 [=======================>......] - ETA: 0s - loss: 1.1048e-06
238/262 [==========================>...] - ETA: 0s - loss: 1.0530e-06
262/262 [==============================] - 1s 2ms/step - loss: 1.0167e-06
    726. 

  726. Epoch 7/10
    727. 

  727. 
  1/262 [..............................] - ETA: 0s - loss: 2.4879e-07
 24/262 [=>............................] - ETA: 0s - loss: 1.6744e-06
 47/262 [====>.........................] - ETA: 0s - loss: 1.1727e-06
 71/262 [=======>......................] - ETA: 0s - loss: 1.2747e-06
 96/262 [=========>....................] - ETA: 0s - loss: 1.2600e-06
121/262 [============>.................] - ETA: 0s - loss: 1.0946e-06
146/262 [===============>..............] - ETA: 0s - loss: 1.1520e-06
171/262 [==================>...........] - ETA: 0s - loss: 1.0720e-06
193/262 [=====================>........] - ETA: 0s - loss: 1.0607e-06
221/262 [========================>.....] - ETA: 0s - loss: 9.6439e-07
251/262 [===========================>..] - ETA: 0s - loss: 8.8677e-07
262/262 [==============================] - 1s 2ms/step - loss: 8.5746e-07
    728. 

  728. Epoch 8/10
    729. 

  729. 
  1/262 [..............................] - ETA: 0s - loss: 6.5987e-06
 24/262 [=>............................] - ETA: 0s - loss: 1.2133e-06
 49/262 [====>.........................] - ETA: 0s - loss: 6.6863e-07
 73/262 [=======>......................] - ETA: 0s - loss: 5.4824e-07
100/262 [==========>...................] - ETA: 0s - loss: 4.6564e-07
129/262 [=============>................] - ETA: 0s - loss: 4.9838e-07
156/262 [================>.............] - ETA: 0s - loss: 5.5839e-07
180/262 [===================>..........] - ETA: 0s - loss: 6.0446e-07
207/262 [======================>.......] - ETA: 0s - loss: 7.0201e-07
227/262 [========================>.....] - ETA: 0s - loss: 6.8258e-07
253/262 [===========================>..] - ETA: 0s - loss: 6.4675e-07
262/262 [==============================] - 1s 2ms/step - loss: 7.5064e-07
    730. 

  730. Epoch 9/10
    731. 

  731. 
  1/262 [..............................] - ETA: 0s - loss: 2.1289e-05
 29/262 [==>...........................] - ETA: 0s - loss: 1.4651e-06
 51/262 [====>.........................] - ETA: 0s - loss: 1.1366e-06
 77/262 [=======>......................] - ETA: 0s - loss: 8.5423e-07
102/262 [==========>...................] - ETA: 0s - loss: 8.5971e-07
126/262 [=============>................] - ETA: 0s - loss: 9.7634e-07
152/262 [================>.............] - ETA: 0s - loss: 9.1320e-07
172/262 [==================>...........] - ETA: 0s - loss: 8.3577e-07
191/262 [====================>.........] - ETA: 0s - loss: 8.0146e-07
214/262 [=======================>......] - ETA: 0s - loss: 7.6155e-07
239/262 [==========================>...] - ETA: 0s - loss: 6.9786e-07
262/262 [==============================] - ETA: 0s - loss: 6.6971e-07
262/262 [==============================] - 1s 2ms/step - loss: 6.6971e-07
    732. 

  732. Epoch 10/10
    733. 

  733. 
  1/262 [..............................] - ETA: 0s - loss: 1.5481e-07
 29/262 [==>...........................] - ETA: 0s - loss: 1.9742e-07
 50/262 [====>.........................] - ETA: 0s - loss: 5.0122e-07
 67/262 [======>.......................] - ETA: 0s - loss: 4.1227e-07
 90/262 [=========>....................] - ETA: 0s - loss: 5.1483e-07
114/262 [============>.................] - ETA: 0s - loss: 4.7107e-07
137/262 [==============>...............] - ETA: 0s - loss: 6.3665e-07
155/262 [================>.............] - ETA: 0s - loss: 5.7938e-07
183/262 [===================>..........] - ETA: 0s - loss: 5.7036e-07
208/262 [======================>.......] - ETA: 0s - loss: 5.2318e-07
232/262 [=========================>....] - ETA: 0s - loss: 6.3600e-07
258/262 [============================>.] - ETA: 0s - loss: 6.0549e-07
262/262 [==============================] - 1s 2ms/step - loss: 5.9950e-07
    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: 56s - loss: 4.2941e-07
 38/262 [===>..........................] - ETA: 0s - loss: 0.0038     
 78/262 [=======>......................] - ETA: 0s - loss: 0.0038
118/262 [============>.................] - ETA: 0s - loss: 0.0633
162/262 [=================>............] - ETA: 0s - loss: 0.0461
205/262 [======================>.......] - ETA: 0s - loss: 0.0364
245/262 [===========================>..] - ETA: 0s - loss: 0.0305
262/262 [==============================] - 1s 1ms/step - loss: 0.0286
    773. 

  773. Epoch 2/10
    774. 

  774. 
  1/262 [..............................] - ETA: 0s - loss: 6.8980e-07
 42/262 [===>..........................] - ETA: 0s - loss: 1.4699e-05
 82/262 [========>.....................] - ETA: 0s - loss: 8.1728e-06
122/262 [============>.................] - ETA: 0s - loss: 6.3949e-06
160/262 [=================>............] - ETA: 0s - loss: 5.2886e-06
200/262 [=====================>........] - ETA: 0s - loss: 5.2508e-04
240/262 [==========================>...] - ETA: 0s - loss: 4.3812e-04
262/262 [==============================] - 0s 1ms/step - loss: 4.0256e-04
    775. 

  775. Epoch 3/10
    776. 

  776. 
  1/262 [..............................] - ETA: 0s - loss: 1.1968e-06
 44/262 [====>.........................] - ETA: 0s - loss: 1.7623e-06
 89/262 [=========>....................] - ETA: 0s - loss: 1.7059e-06
132/262 [==============>...............] - ETA: 0s - loss: 1.7166e-05
172/262 [==================>...........] - ETA: 0s - loss: 1.3396e-05
212/262 [=======================>......] - ETA: 0s - loss: 1.1283e-05
253/262 [===========================>..] - ETA: 0s - loss: 9.7480e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.4799e-06
    777. 

  777. Epoch 4/10
    778. 

  778. 
  1/262 [..............................] - ETA: 0s - loss: 9.9277e-07
 45/262 [====>.........................] - ETA: 0s - loss: 1.2394e-05
 88/262 [=========>....................] - ETA: 0s - loss: 8.1648e-06
127/262 [=============>................] - ETA: 0s - loss: 5.9751e-06
167/262 [==================>...........] - ETA: 0s - loss: 4.8405e-06
203/262 [======================>.......] - ETA: 0s - loss: 4.2699e-06
242/262 [==========================>...] - ETA: 0s - loss: 4.3217e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.1805e-06
    779. 

  779. Epoch 5/10
    780. 

  780. 
  1/262 [..............................] - ETA: 0s - loss: 3.2569e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.4476e-06
 80/262 [========>.....................] - ETA: 0s - loss: 2.1085e-06
112/262 [===========>..................] - ETA: 0s - loss: 2.3003e-06
150/262 [================>.............] - ETA: 0s - loss: 6.1077e-06
177/262 [===================>..........] - ETA: 0s - loss: 5.6676e-06
207/262 [======================>.......] - ETA: 0s - loss: 4.9327e-06
233/262 [=========================>....] - ETA: 0s - loss: 4.4662e-06
262/262 [==============================] - 0s 2ms/step - loss: 4.1291e-06
    781. 

  781. Epoch 6/10
    782. 

  782. 
  1/262 [..............................] - ETA: 0s - loss: 4.5685e-07
 39/262 [===>..........................] - ETA: 0s - loss: 3.7890e-06
 74/262 [=======>......................] - ETA: 0s - loss: 2.2834e-06
111/262 [===========>..................] - ETA: 0s - loss: 2.0891e-06
150/262 [================>.............] - ETA: 0s - loss: 4.8281e-06
188/262 [====================>.........] - ETA: 0s - loss: 4.1992e-06
226/262 [========================>.....] - ETA: 0s - loss: 3.7022e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.5758e-06
    783. 

  783. Epoch 7/10
    784. 

  784. 
  1/262 [..............................] - ETA: 0s - loss: 3.6662e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.9885e-06
 79/262 [========>.....................] - ETA: 0s - loss: 1.7950e-06
118/262 [============>.................] - ETA: 0s - loss: 1.5164e-06
157/262 [================>.............] - ETA: 0s - loss: 1.2533e-06
195/262 [=====================>........] - ETA: 0s - loss: 1.1408e-06
236/262 [==========================>...] - ETA: 0s - loss: 5.6000e-06
262/262 [==============================] - 0s 1ms/step - loss: 5.1439e-06
    785. 

  785. Epoch 8/10
    786. 

  786. 
  1/262 [..............................] - ETA: 0s - loss: 2.5975e-06
 35/262 [===>..........................] - ETA: 0s - loss: 2.7006e-06
 75/262 [=======>......................] - ETA: 0s - loss: 2.0866e-06
112/262 [===========>..................] - ETA: 0s - loss: 4.0174e-06
152/262 [================>.............] - ETA: 0s - loss: 4.4450e-06
189/262 [====================>.........] - ETA: 0s - loss: 3.7245e-06
226/262 [========================>.....] - ETA: 0s - loss: 3.6355e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.2782e-06
    787. 

  787. Epoch 9/10
    788. 

  788. 
  1/262 [..............................] - ETA: 0s - loss: 1.3418e-06
 39/262 [===>..........................] - ETA: 0s - loss: 9.0202e-06
 78/262 [=======>......................] - ETA: 0s - loss: 5.6657e-06
116/262 [============>.................] - ETA: 0s - loss: 4.8903e-06
155/262 [================>.............] - ETA: 0s - loss: 3.8552e-06
194/262 [=====================>........] - ETA: 0s - loss: 3.4575e-06
233/262 [=========================>....] - ETA: 0s - loss: 3.1666e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.8782e-06
    789. 

  789. Epoch 10/10
    790. 

  790. 
  1/262 [..............................] - ETA: 0s - loss: 3.6066e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.2699e-06
 78/262 [=======>......................] - ETA: 0s - loss: 9.0233e-07
112/262 [===========>..................] - ETA: 0s - loss: 8.3329e-07
143/262 [===============>..............] - ETA: 0s - loss: 7.8272e-07
177/262 [===================>..........] - ETA: 0s - loss: 1.1389e-06
212/262 [=======================>......] - ETA: 0s - loss: 1.0589e-06
242/262 [==========================>...] - ETA: 0s - loss: 3.1219e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.9313e-06
    791. 

  791. -> test with GAN.predict
    792. 

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

  793. GAN fn, tp: 1, 9
    794. 

  794. GAN f1 score: 0.947
    795. 

  795. GAN cohens kappa score: 0.947
    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: 52s - loss: 1.3839e-06
 41/262 [===>..........................] - ETA: 0s - loss: 2.7351e-06 
 71/262 [=======>......................] - ETA: 0s - loss: 5.7080e-06
103/262 [==========>...................] - ETA: 0s - loss: 4.4095e-06
139/262 [==============>...............] - ETA: 0s - loss: 5.1886e-06
177/262 [===================>..........] - ETA: 0s - loss: 4.7631e-06
216/262 [=======================>......] - ETA: 0s - loss: 4.3358e-06
256/262 [============================>.] - ETA: 0s - loss: 2.1290e-05
262/262 [==============================] - 1s 1ms/step - loss: 2.0874e-05
    830. 

  830. Epoch 2/10
    831. 

  831. 
  1/262 [..............................] - ETA: 0s - loss: 2.5024e-07
 42/262 [===>..........................] - ETA: 0s - loss: 8.1930e-06
 82/262 [========>.....................] - ETA: 0s - loss: 5.5992e-06
119/262 [============>.................] - ETA: 0s - loss: 4.0251e-06
157/262 [================>.............] - ETA: 0s - loss: 3.7477e-04
197/262 [=====================>........] - ETA: 0s - loss: 0.0120    
237/262 [==========================>...] - ETA: 0s - loss: 0.0100
262/262 [==============================] - 0s 1ms/step - loss: 0.0091
    832. 

  832. Epoch 3/10
    833. 

  833. 
  1/262 [..............................] - ETA: 0s - loss: 9.3609e-07
 39/262 [===>..........................] - ETA: 0s - loss: 8.3250e-05
 77/262 [=======>......................] - ETA: 0s - loss: 4.3492e-05
115/262 [============>.................] - ETA: 0s - loss: 2.9792e-05
151/262 [================>.............] - ETA: 0s - loss: 2.4039e-05
189/262 [====================>.........] - ETA: 0s - loss: 1.9885e-05
227/262 [========================>.....] - ETA: 0s - loss: 1.6833e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.7188e-05
    834. 

  834. Epoch 4/10
    835. 

  835. 
  1/262 [..............................] - ETA: 0s - loss: 3.2334e-06
 43/262 [===>..........................] - ETA: 0s - loss: 2.6970e-06
 85/262 [========>.....................] - ETA: 0s - loss: 4.8577e-06
124/262 [=============>................] - ETA: 0s - loss: 4.6346e-06
163/262 [=================>............] - ETA: 0s - loss: 4.4155e-06
202/262 [======================>.......] - ETA: 0s - loss: 5.4998e-06
241/262 [==========================>...] - ETA: 0s - loss: 4.9657e-06
262/262 [==============================] - 0s 1ms/step - loss: 4.8753e-06
    836. 

  836. Epoch 5/10
    837. 

  837. 
  1/262 [..............................] - ETA: 0s - loss: 1.0802e-06
 40/262 [===>..........................] - ETA: 0s - loss: 1.6537e-06
 80/262 [========>.....................] - ETA: 0s - loss: 2.1907e-06
117/262 [============>.................] - ETA: 0s - loss: 1.7876e-06
155/262 [================>.............] - ETA: 0s - loss: 1.7306e-06
193/262 [=====================>........] - ETA: 0s - loss: 1.6888e-06
229/262 [=========================>....] - ETA: 0s - loss: 4.1216e-06
260/262 [============================>.] - ETA: 0s - loss: 3.9023e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.8929e-06
    838. 

  838. Epoch 6/10
    839. 

  839. 
  1/262 [..............................] - ETA: 0s - loss: 1.3991e-06
 33/262 [==>...........................] - ETA: 0s - loss: 2.6680e-06
 70/262 [=======>......................] - ETA: 0s - loss: 2.4741e-06
108/262 [===========>..................] - ETA: 0s - loss: 3.1975e-06
147/262 [===============>..............] - ETA: 0s - loss: 2.8284e-06
185/262 [====================>.........] - ETA: 0s - loss: 3.6502e-06
225/262 [========================>.....] - ETA: 0s - loss: 3.3270e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.0897e-06
    840. 

  840. Epoch 7/10
    841. 

  841. 
  1/262 [..............................] - ETA: 0s - loss: 1.0110e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.5464e-06
 74/262 [=======>......................] - ETA: 0s - loss: 1.6445e-06
110/262 [===========>..................] - ETA: 0s - loss: 1.4571e-06
149/262 [================>.............] - ETA: 0s - loss: 1.2923e-06
187/262 [====================>.........] - ETA: 0s - loss: 2.3723e-06
224/262 [========================>.....] - ETA: 0s - loss: 2.2737e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.5292e-06
    842. 

  842. Epoch 8/10
    843. 

  843. 
  1/262 [..............................] - ETA: 0s - loss: 1.1305e-06
 38/262 [===>..........................] - ETA: 0s - loss: 1.1719e-06
 78/262 [=======>......................] - ETA: 0s - loss: 2.0740e-06
117/262 [============>.................] - ETA: 0s - loss: 1.7602e-06
156/262 [================>.............] - ETA: 0s - loss: 1.5578e-06
196/262 [=====================>........] - ETA: 0s - loss: 1.4151e-06
231/262 [=========================>....] - ETA: 0s - loss: 1.3928e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.1307e-06
    844. 

  844. Epoch 9/10
    845. 

  845. 
  1/262 [..............................] - ETA: 0s - loss: 9.6767e-07
 40/262 [===>..........................] - ETA: 0s - loss: 8.1202e-07
 76/262 [=======>......................] - ETA: 0s - loss: 8.2211e-07
114/262 [============>.................] - ETA: 0s - loss: 9.3927e-07
152/262 [================>.............] - ETA: 0s - loss: 1.6546e-06
188/262 [====================>.........] - ETA: 0s - loss: 2.1527e-06
227/262 [========================>.....] - ETA: 0s - loss: 1.9235e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.7567e-06
    846. 

  846. Epoch 10/10
    847. 

  847. 
  1/262 [..............................] - ETA: 0s - loss: 5.3073e-07
 39/262 [===>..........................] - ETA: 0s - loss: 3.6870e-06
 78/262 [=======>......................] - ETA: 0s - loss: 2.4864e-06
116/262 [============>.................] - ETA: 0s - loss: 1.9344e-06
154/262 [================>.............] - ETA: 0s - loss: 1.6501e-06
191/262 [====================>.........] - ETA: 0s - loss: 1.4386e-06
231/262 [=========================>....] - ETA: 0s - loss: 1.5454e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5029e-06
    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: 1, 8
    876. 

  876. KNN f1 score: 0.842
    877. 

  877. KNN cohens kappa score: 0.840
    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: 44s - loss: 1.1415e-06
 40/262 [===>..........................] - ETA: 0s - loss: 3.3777e-06 
 80/262 [========>.....................] - ETA: 0s - loss: 1.9228e-05
120/262 [============>.................] - ETA: 0s - loss: 2.4166e-05
159/262 [=================>............] - ETA: 0s - loss: 1.8301e-05
199/262 [=====================>........] - ETA: 0s - loss: 1.4700e-05
234/262 [=========================>....] - ETA: 0s - loss: 1.2602e-05
262/262 [==============================] - 1s 1ms/step - loss: 1.1326e-05
    891. 

  891. Epoch 2/10
    892. 

  892. 
  1/262 [..............................] - ETA: 0s - loss: 9.9847e-08
 34/262 [==>...........................] - ETA: 0s - loss: 7.6894e-05
 69/262 [======>.......................] - ETA: 0s - loss: 4.3443e-05
109/262 [===========>..................] - ETA: 0s - loss: 2.7583e-05
149/262 [================>.............] - ETA: 0s - loss: 2.0388e-05
188/262 [====================>.........] - ETA: 0s - loss: 1.8061e-05
225/262 [========================>.....] - ETA: 0s - loss: 1.5369e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.3360e-05
    893. 

  893. Epoch 3/10
    894. 

  894. 
  1/262 [..............................] - ETA: 0s - loss: 4.8001e-08
 40/262 [===>..........................] - ETA: 0s - loss: 4.1780e-07
 80/262 [========>.....................] - ETA: 0s - loss: 3.5132e-07
120/262 [============>.................] - ETA: 0s - loss: 3.3925e-07
160/262 [=================>............] - ETA: 0s - loss: 3.0712e-07
199/262 [=====================>........] - ETA: 0s - loss: 2.5249e-06
236/262 [==========================>...] - ETA: 0s - loss: 2.5491e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.4322e-06
    895. 

  895. Epoch 4/10
    896. 

  896. 
  1/262 [..............................] - ETA: 0s - loss: 7.9273e-07
 40/262 [===>..........................] - ETA: 0s - loss: 2.2642e-06
 80/262 [========>.....................] - ETA: 0s - loss: 1.9772e-06
114/262 [============>.................] - ETA: 0s - loss: 1.7974e-06
153/262 [================>.............] - ETA: 0s - loss: 1.4451e-06
192/262 [====================>.........] - ETA: 0s - loss: 1.2278e-06
232/262 [=========================>....] - ETA: 0s - loss: 1.0687e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.7587e-07
    897. 

  897. Epoch 5/10
    898. 

  898. 
  1/262 [..............................] - ETA: 0s - loss: 1.0448e-07
 39/262 [===>..........................] - ETA: 0s - loss: 3.3124e-07
 78/262 [=======>......................] - ETA: 0s - loss: 3.5014e-07
118/262 [============>.................] - ETA: 0s - loss: 3.0711e-07
158/262 [=================>............] - ETA: 0s - loss: 2.8403e-07
197/262 [=====================>........] - ETA: 0s - loss: 2.5985e-07
231/262 [=========================>....] - ETA: 0s - loss: 2.4486e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.1147e-06
    899. 

  899. Epoch 6/10
    900. 

  900. 
  1/262 [..............................] - ETA: 0s - loss: 2.9600e-07
 40/262 [===>..........................] - ETA: 0s - loss: 3.5913e-06
 75/262 [=======>......................] - ETA: 0s - loss: 2.3310e-06
113/262 [===========>..................] - ETA: 0s - loss: 1.6559e-06
152/262 [================>.............] - ETA: 0s - loss: 1.2890e-06
191/262 [====================>.........] - ETA: 0s - loss: 1.9420e-06
231/262 [=========================>....] - ETA: 0s - loss: 1.8776e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.6976e-06
    901. 

  901. Epoch 7/10
    902. 

  902. 
  1/262 [..............................] - ETA: 0s - loss: 2.0959e-07
 41/262 [===>..........................] - ETA: 0s - loss: 2.0749e-07
 79/262 [========>.....................] - ETA: 0s - loss: 1.5277e-06
118/262 [============>.................] - ETA: 0s - loss: 1.5446e-06
157/262 [================>.............] - ETA: 0s - loss: 1.3701e-06
194/262 [=====================>........] - ETA: 0s - loss: 1.1751e-06
234/262 [=========================>....] - ETA: 0s - loss: 1.0488e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.5748e-07
    903. 

  903. Epoch 8/10
    904. 

  904. 
  1/262 [..............................] - ETA: 0s - loss: 5.8580e-08
 32/262 [==>...........................] - ETA: 0s - loss: 1.4410e-07
 66/262 [======>.......................] - ETA: 0s - loss: 2.4959e-06
101/262 [==========>...................] - ETA: 0s - loss: 2.6167e-06
141/262 [===============>..............] - ETA: 0s - loss: 2.0374e-06
180/262 [===================>..........] - ETA: 0s - loss: 1.6436e-06
220/262 [========================>.....] - ETA: 0s - loss: 1.3857e-06
258/262 [============================>.] - ETA: 0s - loss: 1.2163e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2019e-06
    905. 

  905. Epoch 9/10
    906. 

  906. 
  1/262 [..............................] - ETA: 0s - loss: 5.4629e-08
 41/262 [===>..........................] - ETA: 0s - loss: 1.4947e-07
 80/262 [========>.....................] - ETA: 0s - loss: 4.3821e-07
119/262 [============>.................] - ETA: 0s - loss: 1.3086e-06
157/262 [================>.............] - ETA: 0s - loss: 1.4258e-06
196/262 [=====================>........] - ETA: 0s - loss: 1.1912e-06
236/262 [==========================>...] - ETA: 0s - loss: 1.0429e-06
262/262 [==============================] - 0s 1ms/step - loss: 9.6397e-07
    907. 

  907. Epoch 10/10
    908. 

  908. 
  1/262 [..............................] - ETA: 0s - loss: 1.6836e-07
 36/262 [===>..........................] - ETA: 0s - loss: 3.2165e-06
 76/262 [=======>......................] - ETA: 0s - loss: 2.5709e-06
113/262 [===========>..................] - ETA: 0s - loss: 1.7697e-06
153/262 [================>.............] - ETA: 0s - loss: 1.3610e-06
191/262 [====================>.........] - ETA: 0s - loss: 1.1174e-06
229/262 [=========================>....] - ETA: 0s - loss: 9.5259e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.6084e-07
    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: 47s - loss: 4.4591e-07
 38/262 [===>..........................] - ETA: 0s - loss: 2.6384e-06 
 76/262 [=======>......................] - ETA: 0s - loss: 2.5960e-06
112/262 [===========>..................] - ETA: 0s - loss: 2.4863e-06
150/262 [================>.............] - ETA: 0s - loss: 1.2467e-05
188/262 [====================>.........] - ETA: 0s - loss: 1.0547e-05
226/262 [========================>.....] - ETA: 0s - loss: 1.0822e-05
262/262 [==============================] - 1s 1ms/step - loss: 9.9661e-06
    948. 

  948. Epoch 2/10
    949. 

  949. 
  1/262 [..............................] - ETA: 0s - loss: 1.1004e-06
 38/262 [===>..........................] - ETA: 0s - loss: 9.3595e-07
 75/262 [=======>......................] - ETA: 0s - loss: 2.3880e-06
110/262 [===========>..................] - ETA: 0s - loss: 2.1620e-06
147/262 [===============>..............] - ETA: 0s - loss: 2.9672e-06
184/262 [====================>.........] - ETA: 0s - loss: 2.9653e-06
219/262 [========================>.....] - ETA: 0s - loss: 2.8397e-06
256/262 [============================>.] - ETA: 0s - loss: 8.1060e-06
262/262 [==============================] - 0s 1ms/step - loss: 7.9519e-06
    950. 

  950. Epoch 3/10
    951. 

  951. 
  1/262 [..............................] - ETA: 0s - loss: 1.2296e-07
 35/262 [===>..........................] - ETA: 0s - loss: 1.8096e-06
 64/262 [======>.......................] - ETA: 0s - loss: 2.2608e-06
 96/262 [=========>....................] - ETA: 0s - loss: 4.7622e-05
128/262 [=============>................] - ETA: 0s - loss: 1.1361e-04
162/262 [=================>............] - ETA: 0s - loss: 2.6845e-04
195/262 [=====================>........] - ETA: 0s - loss: 0.0017    
228/262 [=========================>....] - ETA: 0s - loss: 0.0015
260/262 [============================>.] - ETA: 0s - loss: 0.0013
262/262 [==============================] - 0s 2ms/step - loss: 0.0013
    952. 

  952. Epoch 4/10
    953. 

  953. 
  1/262 [..............................] - ETA: 0s - loss: 1.6188e-06
 35/262 [===>..........................] - ETA: 0s - loss: 0.0052    
 65/262 [======>.......................] - ETA: 0s - loss: 0.0063
 97/262 [==========>...................] - ETA: 0s - loss: 0.0044
128/262 [=============>................] - ETA: 0s - loss: 0.0034
161/262 [=================>............] - ETA: 0s - loss: 0.0027
193/262 [=====================>........] - ETA: 0s - loss: 0.0022
225/262 [========================>.....] - ETA: 0s - loss: 0.0019
256/262 [============================>.] - ETA: 0s - loss: 0.0017
262/262 [==============================] - 0s 2ms/step - loss: 0.0017
    954. 

  954. Epoch 5/10
    955. 

  955. 
  1/262 [..............................] - ETA: 0s - loss: 1.8414e-06
 32/262 [==>...........................] - ETA: 0s - loss: 4.0230e-06
 62/262 [======>.......................] - ETA: 0s - loss: 2.3751e-06
 92/262 [=========>....................] - ETA: 0s - loss: 2.1124e-06
118/262 [============>.................] - ETA: 0s - loss: 1.7770e-06
150/262 [================>.............] - ETA: 0s - loss: 1.6598e-06
182/262 [===================>..........] - ETA: 0s - loss: 1.4324e-06
215/262 [=======================>......] - ETA: 0s - loss: 1.2629e-06
249/262 [===========================>..] - ETA: 0s - loss: 1.1699e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.1264e-06
    956. 

  956. Epoch 6/10
    957. 

  957. 
  1/262 [..............................] - ETA: 0s - loss: 1.6120e-07
 33/262 [==>...........................] - ETA: 0s - loss: 4.1539e-07
 67/262 [======>.......................] - ETA: 0s - loss: 4.0569e-07
103/262 [==========>...................] - ETA: 0s - loss: 3.7802e-07
140/262 [===============>..............] - ETA: 0s - loss: 4.7006e-07
177/262 [===================>..........] - ETA: 0s - loss: 5.3886e-07
212/262 [=======================>......] - ETA: 0s - loss: 4.9122e-07
243/262 [==========================>...] - ETA: 0s - loss: 7.9528e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.7544e-07
    958. 

  958. Epoch 7/10
    959. 

  959. 
  1/262 [..............................] - ETA: 0s - loss: 5.3163e-07
 35/262 [===>..........................] - ETA: 0s - loss: 2.7011e-06
 71/262 [=======>......................] - ETA: 0s - loss: 1.6213e-06
108/262 [===========>..................] - ETA: 0s - loss: 1.1782e-06
145/262 [===============>..............] - ETA: 0s - loss: 9.6535e-07
182/262 [===================>..........] - ETA: 0s - loss: 9.6458e-07
218/262 [=======================>......] - ETA: 0s - loss: 8.6467e-07
255/262 [============================>.] - ETA: 0s - loss: 8.0669e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.9359e-07
    960. 

  960. Epoch 8/10
    961. 

  961. 
  1/262 [..............................] - ETA: 0s - loss: 5.2500e-07
 39/262 [===>..........................] - ETA: 0s - loss: 7.6783e-07
 76/262 [=======>......................] - ETA: 0s - loss: 1.5648e-06
111/262 [===========>..................] - ETA: 0s - loss: 1.1983e-06
144/262 [===============>..............] - ETA: 0s - loss: 1.0006e-06
174/262 [==================>...........] - ETA: 0s - loss: 8.8810e-07
207/262 [======================>.......] - ETA: 0s - loss: 9.4780e-07
238/262 [==========================>...] - ETA: 0s - loss: 8.4926e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.8904e-07
    962. 

  962. Epoch 9/10
    963. 

  963. 
  1/262 [..............................] - ETA: 0s - loss: 8.7401e-08
 36/262 [===>..........................] - ETA: 0s - loss: 2.8899e-07
 72/262 [=======>......................] - ETA: 0s - loss: 6.1676e-07
109/262 [===========>..................] - ETA: 0s - loss: 6.3623e-07
146/262 [===============>..............] - ETA: 0s - loss: 5.8956e-07
184/262 [====================>.........] - ETA: 0s - loss: 5.0468e-07
220/262 [========================>.....] - ETA: 0s - loss: 4.5047e-07
257/262 [============================>.] - ETA: 0s - loss: 7.8914e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.7790e-07
    964. 

  964. Epoch 10/10
    965. 

  965. 
  1/262 [..............................] - ETA: 0s - loss: 4.3733e-08
 39/262 [===>..........................] - ETA: 0s - loss: 2.4394e-07
 76/262 [=======>......................] - ETA: 0s - loss: 4.1761e-07
114/262 [============>.................] - ETA: 0s - loss: 5.4331e-07
150/262 [================>.............] - ETA: 0s - loss: 4.9505e-07
187/262 [====================>.........] - ETA: 0s - loss: 5.3998e-07
222/262 [========================>.....] - ETA: 0s - loss: 8.0690e-07
252/262 [===========================>..] - ETA: 0s - loss: 7.7172e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.5420e-07
    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: 47s - loss: 1.0899e-06
 34/262 [==>...........................] - ETA: 0s - loss: 7.0342e-07 
 64/262 [======>.......................] - ETA: 0s - loss: 8.2159e-07
 98/262 [==========>...................] - ETA: 0s - loss: 7.3238e-07
132/262 [==============>...............] - ETA: 0s - loss: 3.4136e-06
168/262 [==================>...........] - ETA: 0s - loss: 2.9153e-06
203/262 [======================>.......] - ETA: 0s - loss: 2.5148e-06
238/262 [==========================>...] - ETA: 0s - loss: 4.9999e-05
262/262 [==============================] - 1s 1ms/step - loss: 0.0026
    1005. 

  1005. Epoch 2/10
    1006. 

  1006. 
  1/262 [..............................] - ETA: 0s - loss: 1.4545e-07
 36/262 [===>..........................] - ETA: 0s - loss: 0.0233    
 74/262 [=======>......................] - ETA: 0s - loss: 0.0113
112/262 [===========>..................] - ETA: 0s - loss: 0.0076
148/262 [===============>..............] - ETA: 0s - loss: 0.0058
184/262 [====================>.........] - ETA: 0s - loss: 0.0046
219/262 [========================>.....] - ETA: 0s - loss: 0.0039
254/262 [============================>.] - ETA: 0s - loss: 0.0034
262/262 [==============================] - 0s 1ms/step - loss: 0.0033
    1007. 

  1007. Epoch 3/10
    1008. 

  1008. 
  1/262 [..............................] - ETA: 0s - loss: 1.3901e-07
 38/262 [===>..........................] - ETA: 0s - loss: 8.0491e-07
 71/262 [=======>......................] - ETA: 0s - loss: 1.1890e-06
107/262 [===========>..................] - ETA: 0s - loss: 1.0437e-06
144/262 [===============>..............] - ETA: 0s - loss: 1.0606e-06
180/262 [===================>..........] - ETA: 0s - loss: 1.0172e-06
214/262 [=======================>......] - ETA: 0s - loss: 1.4353e-06
250/262 [===========================>..] - ETA: 0s - loss: 1.2996e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2808e-06
    1009. 

  1009. Epoch 4/10
    1010. 

  1010. 
  1/262 [..............................] - ETA: 0s - loss: 2.9902e-08
 28/262 [==>...........................] - ETA: 0s - loss: 7.6815e-07
 63/262 [======>.......................] - ETA: 0s - loss: 6.0097e-07
100/262 [==========>...................] - ETA: 0s - loss: 8.8533e-07
134/262 [==============>...............] - ETA: 0s - loss: 1.0362e-06
168/262 [==================>...........] - ETA: 0s - loss: 1.0080e-06
203/262 [======================>.......] - ETA: 0s - loss: 8.7466e-07
237/262 [==========================>...] - ETA: 0s - loss: 8.1724e-07
262/262 [==============================] - 0s 2ms/step - loss: 8.0951e-07
    1011. 

  1011. Epoch 5/10
    1012. 

  1012. 
  1/262 [..............................] - ETA: 0s - loss: 1.0728e-07
 34/262 [==>...........................] - ETA: 0s - loss: 1.9650e-06
 72/262 [=======>......................] - ETA: 0s - loss: 1.2501e-06
107/262 [===========>..................] - ETA: 0s - loss: 9.4750e-07
141/262 [===============>..............] - ETA: 0s - loss: 8.7762e-07
176/262 [===================>..........] - ETA: 0s - loss: 7.8277e-07
209/262 [======================>.......] - ETA: 0s - loss: 7.3696e-07
243/262 [==========================>...] - ETA: 0s - loss: 7.2372e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.8547e-07
    1013. 

  1013. Epoch 6/10
    1014. 

  1014. 
  1/262 [..............................] - ETA: 0s - loss: 9.1964e-08
 33/262 [==>...........................] - ETA: 0s - loss: 5.6309e-07
 67/262 [======>.......................] - ETA: 0s - loss: 4.8164e-07
 99/262 [==========>...................] - ETA: 0s - loss: 4.5992e-07
134/262 [==============>...............] - ETA: 0s - loss: 7.6986e-07
170/262 [==================>...........] - ETA: 0s - loss: 7.0290e-07
199/262 [=====================>........] - ETA: 0s - loss: 6.6734e-07
232/262 [=========================>....] - ETA: 0s - loss: 6.6134e-07
262/262 [==============================] - 0s 2ms/step - loss: 6.2080e-07
    1015. 

  1015. Epoch 7/10
    1016. 

  1016. 
  1/262 [..............................] - ETA: 0s - loss: 1.5459e-07
 37/262 [===>..........................] - ETA: 0s - loss: 5.5601e-07
 72/262 [=======>......................] - ETA: 0s - loss: 4.1695e-07
105/262 [===========>..................] - ETA: 0s - loss: 3.2894e-07
139/262 [==============>...............] - ETA: 0s - loss: 3.7310e-07
173/262 [==================>...........] - ETA: 0s - loss: 3.3756e-07
207/262 [======================>.......] - ETA: 0s - loss: 4.9801e-07
243/262 [==========================>...] - ETA: 0s - loss: 5.4780e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.5157e-07
    1017. 

  1017. Epoch 8/10
    1018. 

  1018. 
  1/262 [..............................] - ETA: 0s - loss: 5.4496e-08
 34/262 [==>...........................] - ETA: 0s - loss: 1.4972e-06
 68/262 [======>.......................] - ETA: 0s - loss: 9.4491e-07
104/262 [==========>...................] - ETA: 0s - loss: 7.5146e-07
139/262 [==============>...............] - ETA: 0s - loss: 5.9414e-07
175/262 [===================>..........] - ETA: 0s - loss: 4.9952e-07
210/262 [=======================>......] - ETA: 0s - loss: 5.4543e-07
245/262 [===========================>..] - ETA: 0s - loss: 5.3425e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.1035e-07
    1019. 

  1019. Epoch 9/10
    1020. 

  1020. 
  1/262 [..............................] - ETA: 0s - loss: 3.3461e-08
 33/262 [==>...........................] - ETA: 0s - loss: 1.7400e-06
 68/262 [======>.......................] - ETA: 0s - loss: 1.0369e-06
102/262 [==========>...................] - ETA: 0s - loss: 7.9110e-07
135/262 [==============>...............] - ETA: 0s - loss: 6.3361e-07
167/262 [==================>...........] - ETA: 0s - loss: 5.6539e-07
195/262 [=====================>........] - ETA: 0s - loss: 5.2195e-07
225/262 [========================>.....] - ETA: 0s - loss: 4.7741e-07
260/262 [============================>.] - ETA: 0s - loss: 4.5412e-07
262/262 [==============================] - 0s 2ms/step - loss: 4.5238e-07
    1021. 

  1021. Epoch 10/10
    1022. 

  1022. 
  1/262 [..............................] - ETA: 0s - loss: 1.0648e-07
 35/262 [===>..........................] - ETA: 0s - loss: 1.0367e-07
 69/262 [======>.......................] - ETA: 0s - loss: 1.5192e-07
101/262 [==========>...................] - ETA: 0s - loss: 1.5385e-07
135/262 [==============>...............] - ETA: 0s - loss: 2.3323e-07
170/262 [==================>...........] - ETA: 0s - loss: 5.4204e-07
206/262 [======================>.......] - ETA: 0s - loss: 5.1142e-07
240/262 [==========================>...] - ETA: 0s - loss: 4.9586e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.7168e-07
    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: 49s - loss: 2.1960e-07
 39/262 [===>..........................] - ETA: 0s - loss: 1.8230e-05 
 75/262 [=======>......................] - ETA: 0s - loss: 9.5975e-06
112/262 [===========>..................] - ETA: 0s - loss: 6.6531e-06
151/262 [================>.............] - ETA: 0s - loss: 5.0374e-06
187/262 [====================>.........] - ETA: 0s - loss: 4.1065e-06
219/262 [========================>.....] - ETA: 0s - loss: 3.5288e-06
250/262 [===========================>..] - ETA: 0s - loss: 3.1292e-06
262/262 [==============================] - 1s 1ms/step - loss: 3.0001e-06
    1062. 

  1062. Epoch 2/10
    1063. 

  1063. 
  1/262 [..............................] - ETA: 0s - loss: 3.9518e-08
 38/262 [===>..........................] - ETA: 0s - loss: 4.0243e-07
 75/262 [=======>......................] - ETA: 0s - loss: 2.9211e-07
110/262 [===========>..................] - ETA: 0s - loss: 2.2689e-06
146/262 [===============>..............] - ETA: 0s - loss: 2.2544e-06
179/262 [===================>..........] - ETA: 0s - loss: 1.9561e-06
212/262 [=======================>......] - ETA: 0s - loss: 1.6767e-06
248/262 [===========================>..] - ETA: 0s - loss: 1.4853e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.4167e-06
    1064. 

  1064. Epoch 3/10
    1065. 

  1065. 
  1/262 [..............................] - ETA: 0s - loss: 9.4601e-08
 38/262 [===>..........................] - ETA: 0s - loss: 2.1521e-07
 75/262 [=======>......................] - ETA: 0s - loss: 1.6938e-07
113/262 [===========>..................] - ETA: 0s - loss: 1.5026e-07
146/262 [===============>..............] - ETA: 0s - loss: 1.8210e-07
183/262 [===================>..........] - ETA: 0s - loss: 1.7410e-07
221/262 [========================>.....] - ETA: 0s - loss: 3.0839e-07
258/262 [============================>.] - ETA: 0s - loss: 4.6953e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.7104e-07
    1066. 

  1066. Epoch 4/10
    1067. 

  1067. 
  1/262 [..............................] - ETA: 0s - loss: 6.0920e-07
 38/262 [===>..........................] - ETA: 0s - loss: 8.4853e-07
 75/262 [=======>......................] - ETA: 0s - loss: 5.3552e-07
112/262 [===========>..................] - ETA: 0s - loss: 4.0980e-07
150/262 [================>.............] - ETA: 0s - loss: 6.3695e-07
188/262 [====================>.........] - ETA: 0s - loss: 6.1887e-07
226/262 [========================>.....] - ETA: 0s - loss: 5.5572e-07
262/262 [==============================] - ETA: 0s - loss: 5.0497e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.0497e-07
    1068. 

  1068. Epoch 5/10
    1069. 

  1069. 
  1/262 [..............................] - ETA: 0s - loss: 8.6929e-08
 39/262 [===>..........................] - ETA: 0s - loss: 1.4039e-07
 77/262 [=======>......................] - ETA: 0s - loss: 8.2742e-07
114/262 [============>.................] - ETA: 0s - loss: 7.5669e-07
149/262 [================>.............] - ETA: 0s - loss: 6.3919e-07
188/262 [====================>.........] - ETA: 0s - loss: 5.3705e-07
226/262 [========================>.....] - ETA: 0s - loss: 4.7713e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.4649e-07
    1070. 

  1070. Epoch 6/10
    1071. 

  1071. 
  1/262 [..............................] - ETA: 0s - loss: 4.4070e-08
 38/262 [===>..........................] - ETA: 0s - loss: 1.9153e-07
 76/262 [=======>......................] - ETA: 0s - loss: 2.0049e-07
111/262 [===========>..................] - ETA: 0s - loss: 1.8560e-07
148/262 [===============>..............] - ETA: 0s - loss: 1.6514e-07
187/262 [====================>.........] - ETA: 0s - loss: 1.4840e-07
224/262 [========================>.....] - ETA: 0s - loss: 1.4319e-07
262/262 [==============================] - ETA: 0s - loss: 3.2687e-07
262/262 [==============================] - 0s 1ms/step - loss: 3.2687e-07
    1072. 

  1072. Epoch 7/10
    1073. 

  1073. 
  1/262 [..............................] - ETA: 0s - loss: 5.5663e-07
 39/262 [===>..........................] - ETA: 0s - loss: 4.4019e-07
 77/262 [=======>......................] - ETA: 0s - loss: 3.5100e-07
113/262 [===========>..................] - ETA: 0s - loss: 2.7785e-07
150/262 [================>.............] - ETA: 0s - loss: 2.5970e-07
179/262 [===================>..........] - ETA: 0s - loss: 2.3260e-07
210/262 [=======================>......] - ETA: 0s - loss: 3.0772e-07
238/262 [==========================>...] - ETA: 0s - loss: 3.0699e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.8824e-07
    1074. 

  1074. Epoch 8/10
    1075. 

  1075. 
  1/262 [..............................] - ETA: 0s - loss: 2.1749e-07
 33/262 [==>...........................] - ETA: 0s - loss: 3.9542e-07
 66/262 [======>.......................] - ETA: 0s - loss: 3.1226e-07
102/262 [==========>...................] - ETA: 0s - loss: 2.5285e-07
139/262 [==============>...............] - ETA: 0s - loss: 2.1568e-07
174/262 [==================>...........] - ETA: 0s - loss: 1.8964e-07
208/262 [======================>.......] - ETA: 0s - loss: 1.7031e-07
245/262 [===========================>..] - ETA: 0s - loss: 1.5753e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.5422e-07
    1076. 

  1076. Epoch 9/10
    1077. 

  1077. 
  1/262 [..............................] - ETA: 0s - loss: 3.3665e-08
 39/262 [===>..........................] - ETA: 0s - loss: 1.7098e-07
 75/262 [=======>......................] - ETA: 0s - loss: 1.2225e-07
113/262 [===========>..................] - ETA: 0s - loss: 1.1019e-07
151/262 [================>.............] - ETA: 0s - loss: 2.6788e-07
188/262 [====================>.........] - ETA: 0s - loss: 2.7474e-07
224/262 [========================>.....] - ETA: 0s - loss: 2.4611e-07
260/262 [============================>.] - ETA: 0s - loss: 2.2088e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.2048e-07
    1078. 

  1078. Epoch 10/10
    1079. 

  1079. 
  1/262 [..............................] - ETA: 0s - loss: 4.7270e-08
 39/262 [===>..........................] - ETA: 0s - loss: 7.3214e-08
 77/262 [=======>......................] - ETA: 0s - loss: 6.7912e-08
114/262 [============>.................] - ETA: 0s - loss: 7.1858e-08
151/262 [================>.............] - ETA: 0s - loss: 6.5376e-08
183/262 [===================>..........] - ETA: 0s - loss: 6.3350e-08
205/262 [======================>.......] - ETA: 0s - loss: 1.5974e-07
227/262 [========================>.....] - ETA: 0s - loss: 1.5404e-07
252/262 [===========================>..] - ETA: 0s - loss: 1.7255e-07
262/262 [==============================] - 0s 2ms/step - loss: 1.7053e-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: 2, 8
    1108. 

  1108. KNN f1 score: 0.842
    1109. 

  1109. KNN cohens kappa score: 0.840
    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: 41s - loss: 1.0122e-06
 42/262 [===>..........................] - ETA: 0s - loss: 3.6054e-06 
 81/262 [========>.....................] - ETA: 0s - loss: 1.3092e-05
121/262 [============>.................] - ETA: 0s - loss: 1.6851e-05
161/262 [=================>............] - ETA: 0s - loss: 1.6309e-05
201/262 [======================>.......] - ETA: 0s - loss: 1.5042e-05
242/262 [==========================>...] - ETA: 0s - loss: 1.3167e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.5892e-05
    1119. 

  1119. Epoch 2/10
    1120. 

  1120. 
  1/262 [..............................] - ETA: 0s - loss: 2.0881e-05
 42/262 [===>..........................] - ETA: 0s - loss: 3.6881e-04
 82/262 [========>.....................] - ETA: 0s - loss: 4.0558e-04
122/262 [============>.................] - ETA: 0s - loss: 7.8422e-04
160/262 [=================>............] - ETA: 0s - loss: 8.4702e-04
200/262 [=====================>........] - ETA: 0s - loss: 6.7792e-04
239/262 [==========================>...] - ETA: 0s - loss: 6.5568e-04
262/262 [==============================] - 0s 1ms/step - loss: 6.3283e-04
    1121. 

  1121. Epoch 3/10
    1122. 

  1122. 
  1/262 [..............................] - ETA: 0s - loss: 5.5037e-07
 37/262 [===>..........................] - ETA: 0s - loss: 5.3777e-06
 78/262 [=======>......................] - ETA: 0s - loss: 1.4922e-04
115/262 [============>.................] - ETA: 0s - loss: 1.2723e-04
154/262 [================>.............] - ETA: 0s - loss: 9.5352e-05
193/262 [=====================>........] - ETA: 0s - loss: 7.6325e-05
233/262 [=========================>....] - ETA: 0s - loss: 6.3399e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.6533e-05
    1123. 

  1123. Epoch 4/10
    1124. 

  1124. 
  1/262 [..............................] - ETA: 0s - loss: 2.3699e-07
 41/262 [===>..........................] - ETA: 0s - loss: 5.7848e-07
 80/262 [========>.....................] - ETA: 0s - loss: 8.9976e-07
121/262 [============>.................] - ETA: 0s - loss: 9.6514e-07
161/262 [=================>............] - ETA: 0s - loss: 1.1020e-06
202/262 [======================>.......] - ETA: 0s - loss: 1.0567e-06
238/262 [==========================>...] - ETA: 0s - loss: 9.7912e-07
262/262 [==============================] - 0s 1ms/step - loss: 9.3068e-07
    1125. 

  1125. Epoch 5/10
    1126. 

  1126. 
  1/262 [..............................] - ETA: 0s - loss: 2.9111e-06
 38/262 [===>..........................] - ETA: 0s - loss: 9.9436e-07
 76/262 [=======>......................] - ETA: 0s - loss: 1.0698e-06
111/262 [===========>..................] - ETA: 0s - loss: 1.0122e-06
146/262 [===============>..............] - ETA: 0s - loss: 1.1446e-06
182/262 [===================>..........] - ETA: 0s - loss: 1.0070e-06
220/262 [========================>.....] - ETA: 0s - loss: 9.3541e-07
260/262 [============================>.] - ETA: 0s - loss: 8.5716e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.5443e-07
    1127. 

  1127. Epoch 6/10
    1128. 

  1128. 
  1/262 [..............................] - ETA: 0s - loss: 4.7637e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.0481e-06
 78/262 [=======>......................] - ETA: 0s - loss: 7.2355e-07
119/262 [============>.................] - ETA: 0s - loss: 9.6537e-07
158/262 [=================>............] - ETA: 0s - loss: 8.5986e-07
198/262 [=====================>........] - ETA: 0s - loss: 8.2657e-07
236/262 [==========================>...] - ETA: 0s - loss: 8.4456e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.9762e-07
    1129. 

  1129. Epoch 7/10
    1130. 

  1130. 
  1/262 [..............................] - ETA: 0s - loss: 2.7737e-07
 41/262 [===>..........................] - ETA: 0s - loss: 5.1583e-07
 81/262 [========>.....................] - ETA: 0s - loss: 7.6083e-07
119/262 [============>.................] - ETA: 0s - loss: 6.7398e-07
159/262 [=================>............] - ETA: 0s - loss: 9.4088e-07
199/262 [=====================>........] - ETA: 0s - loss: 8.2333e-07
238/262 [==========================>...] - ETA: 0s - loss: 7.8885e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.5320e-07
    1131. 

  1131. Epoch 8/10
    1132. 

  1132. 
  1/262 [..............................] - ETA: 0s - loss: 6.9757e-07
 41/262 [===>..........................] - ETA: 0s - loss: 3.9977e-07
 81/262 [========>.....................] - ETA: 0s - loss: 3.8674e-07
121/262 [============>.................] - ETA: 0s - loss: 4.3150e-07
162/262 [=================>............] - ETA: 0s - loss: 5.6286e-07
202/262 [======================>.......] - ETA: 0s - loss: 5.5337e-07
242/262 [==========================>...] - ETA: 0s - loss: 7.1217e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.1509e-07
    1133. 

  1133. Epoch 9/10
    1134. 

  1134. 
  1/262 [..............................] - ETA: 0s - loss: 4.7473e-07
 40/262 [===>..........................] - ETA: 0s - loss: 4.2196e-07
 78/262 [=======>......................] - ETA: 0s - loss: 6.3332e-07
118/262 [============>.................] - ETA: 0s - loss: 5.6307e-07
154/262 [================>.............] - ETA: 0s - loss: 5.5941e-07
192/262 [====================>.........] - ETA: 0s - loss: 5.3415e-07
232/262 [=========================>....] - ETA: 0s - loss: 7.2705e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.8020e-07
    1135. 

  1135. Epoch 10/10
    1136. 

  1136. 
  1/262 [..............................] - ETA: 0s - loss: 4.5581e-07
 41/262 [===>..........................] - ETA: 0s - loss: 3.7335e-07
 81/262 [========>.....................] - ETA: 0s - loss: 4.7715e-07
121/262 [============>.................] - ETA: 0s - loss: 7.5788e-07
161/262 [=================>............] - ETA: 0s - loss: 7.1032e-07
202/262 [======================>.......] - ETA: 0s - loss: 6.9913e-07
239/262 [==========================>...] - ETA: 0s - loss: 6.7739e-07
262/262 [==============================] - 0s 1ms/step - loss: 6.4769e-07
    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: 651, 0
    1145. 

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

  1146. LR f1 score: 1.000
    1147. 

  1147. LR cohens kappa score: 1.000
    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: 48s - loss: 6.0175e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.7726e-06 
 78/262 [=======>......................] - ETA: 0s - loss: 4.1358e-05
118/262 [============>.................] - ETA: 0s - loss: 3.1828e-05
158/262 [=================>............] - ETA: 0s - loss: 2.4835e-05
196/262 [=====================>........] - ETA: 0s - loss: 2.0245e-05
234/262 [=========================>....] - ETA: 0s - loss: 1.7067e-05
262/262 [==============================] - 1s 1ms/step - loss: 1.5764e-05
    1180. 

  1180. Epoch 2/10
    1181. 

  1181. 
  1/262 [..............................] - ETA: 0s - loss: 1.8909e-06
 40/262 [===>..........................] - ETA: 0s - loss: 1.4246e-06
 79/262 [========>.....................] - ETA: 0s - loss: 1.1838e-06
118/262 [============>.................] - ETA: 0s - loss: 1.1205e-06
148/262 [===============>..............] - ETA: 0s - loss: 9.7442e-07
181/262 [===================>..........] - ETA: 0s - loss: 4.2300e-06
216/262 [=======================>......] - ETA: 0s - loss: 4.4209e-06
251/262 [===========================>..] - ETA: 0s - loss: 4.0031e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.9675e-06
    1182. 

  1182. Epoch 3/10
    1183. 

  1183. 
  1/262 [..............................] - ETA: 0s - loss: 4.2099e-07
 33/262 [==>...........................] - ETA: 0s - loss: 1.1817e-06
 65/262 [======>.......................] - ETA: 0s - loss: 8.9930e-07
 96/262 [=========>....................] - ETA: 0s - loss: 8.4410e-07
132/262 [==============>...............] - ETA: 0s - loss: 3.3219e-06
161/262 [=================>............] - ETA: 0s - loss: 2.8179e-06
192/262 [====================>.........] - ETA: 0s - loss: 2.4597e-06
226/262 [========================>.....] - ETA: 0s - loss: 2.1812e-06
261/262 [============================>.] - ETA: 0s - loss: 2.0349e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.0329e-06
    1184. 

  1184. Epoch 4/10
    1185. 

  1185. 
  1/262 [..............................] - ETA: 0s - loss: 4.6079e-07
 37/262 [===>..........................] - ETA: 0s - loss: 3.6700e-07
 74/262 [=======>......................] - ETA: 0s - loss: 4.0012e-07
109/262 [===========>..................] - ETA: 0s - loss: 4.8529e-06
144/262 [===============>..............] - ETA: 0s - loss: 6.2817e-06
181/262 [===================>..........] - ETA: 0s - loss: 5.2290e-06
215/262 [=======================>......] - ETA: 0s - loss: 4.5846e-06
242/262 [==========================>...] - ETA: 0s - loss: 4.3578e-06
262/262 [==============================] - 0s 2ms/step - loss: 4.0731e-06
    1186. 

  1186. Epoch 5/10
    1187. 

  1187. 
  1/262 [..............................] - ETA: 0s - loss: 9.7912e-08
 32/262 [==>...........................] - ETA: 0s - loss: 4.3165e-07
 69/262 [======>.......................] - ETA: 0s - loss: 7.2217e-07
106/262 [===========>..................] - ETA: 0s - loss: 1.6294e-06
145/262 [===============>..............] - ETA: 0s - loss: 1.8147e-06
184/262 [====================>.........] - ETA: 0s - loss: 1.5606e-06
222/262 [========================>.....] - ETA: 0s - loss: 1.3898e-06
254/262 [============================>.] - ETA: 0s - loss: 1.2493e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2196e-06
    1188. 

  1188. Epoch 6/10
    1189. 

  1189. 
  1/262 [..............................] - ETA: 0s - loss: 1.5484e-07
 32/262 [==>...........................] - ETA: 0s - loss: 3.3896e-07
 68/262 [======>.......................] - ETA: 0s - loss: 2.2700e-06
106/262 [===========>..................] - ETA: 0s - loss: 1.8823e-06
133/262 [==============>...............] - ETA: 0s - loss: 1.8789e-06
159/262 [=================>............] - ETA: 0s - loss: 1.6804e-06
195/262 [=====================>........] - ETA: 0s - loss: 1.4525e-06
229/262 [=========================>....] - ETA: 0s - loss: 1.2692e-06
261/262 [============================>.] - ETA: 0s - loss: 1.1350e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.1337e-06
    1190. 

  1190. Epoch 7/10
    1191. 

  1191. 
  1/262 [..............................] - ETA: 0s - loss: 4.0276e-07
 39/262 [===>..........................] - ETA: 0s - loss: 2.7641e-07
 76/262 [=======>......................] - ETA: 0s - loss: 2.3885e-07
114/262 [============>.................] - ETA: 0s - loss: 4.0017e-07
152/262 [================>.............] - ETA: 0s - loss: 1.2064e-06
190/262 [====================>.........] - ETA: 0s - loss: 1.1725e-06
226/262 [========================>.....] - ETA: 0s - loss: 1.2158e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.0713e-06
    1192. 

  1192. Epoch 8/10
    1193. 

  1193. 
  1/262 [..............................] - ETA: 0s - loss: 4.6452e-08
 38/262 [===>..........................] - ETA: 0s - loss: 1.7019e-07
 77/262 [=======>......................] - ETA: 0s - loss: 1.6769e-06
114/262 [============>.................] - ETA: 0s - loss: 1.3329e-06
148/262 [===============>..............] - ETA: 0s - loss: 1.1164e-06
181/262 [===================>..........] - ETA: 0s - loss: 1.0185e-06
213/262 [=======================>......] - ETA: 0s - loss: 9.6863e-07
247/262 [===========================>..] - ETA: 0s - loss: 8.6068e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.4285e-07
    1194. 

  1194. Epoch 9/10
    1195. 

  1195. 
  1/262 [..............................] - ETA: 0s - loss: 9.1202e-08
 39/262 [===>..........................] - ETA: 0s - loss: 1.3186e-07
 73/262 [=======>......................] - ETA: 0s - loss: 3.2007e-07
108/262 [===========>..................] - ETA: 0s - loss: 2.7285e-07
145/262 [===============>..............] - ETA: 0s - loss: 1.1113e-06
180/262 [===================>..........] - ETA: 0s - loss: 9.9118e-07
217/262 [=======================>......] - ETA: 0s - loss: 9.3079e-07
250/262 [===========================>..] - ETA: 0s - loss: 8.3976e-07
262/262 [==============================] - 0s 1ms/step - loss: 8.0807e-07
    1196. 

  1196. Epoch 10/10
    1197. 

  1197. 
  1/262 [..............................] - ETA: 0s - loss: 4.4672e-08
 34/262 [==>...........................] - ETA: 0s - loss: 1.5825e-07
 65/262 [======>.......................] - ETA: 0s - loss: 3.3099e-07
101/262 [==========>...................] - ETA: 0s - loss: 2.7153e-07
133/262 [==============>...............] - ETA: 0s - loss: 2.3949e-07
167/262 [==================>...........] - ETA: 0s - loss: 2.1900e-07
202/262 [======================>.......] - ETA: 0s - loss: 2.2349e-07
234/262 [=========================>....] - ETA: 0s - loss: 6.5736e-07
262/262 [==============================] - 0s 2ms/step - loss: 9.3125e-07
    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: 50s - loss: 2.7077e-05
 41/262 [===>..........................] - ETA: 0s - loss: 0.0190     
 76/262 [=======>......................] - ETA: 0s - loss: 0.0177
110/262 [===========>..................] - ETA: 0s - loss: 0.0123
144/262 [===============>..............] - ETA: 0s - loss: 0.0094
182/262 [===================>..........] - ETA: 0s - loss: 0.0075
218/262 [=======================>......] - ETA: 0s - loss: 0.0062
257/262 [============================>.] - ETA: 0s - loss: 0.0053
262/262 [==============================] - 1s 1ms/step - loss: 0.0052
    1237. 

  1237. Epoch 2/10
    1238. 

  1238. 
  1/262 [..............................] - ETA: 0s - loss: 2.0315e-06
 36/262 [===>..........................] - ETA: 0s - loss: 1.5487e-05
 75/262 [=======>......................] - ETA: 0s - loss: 8.6098e-06
113/262 [===========>..................] - ETA: 0s - loss: 6.3890e-06
151/262 [================>.............] - ETA: 0s - loss: 1.2692e-04
189/262 [====================>.........] - ETA: 0s - loss: 1.2037e-04
228/262 [=========================>....] - ETA: 0s - loss: 1.0095e-04
262/262 [==============================] - 0s 1ms/step - loss: 8.8297e-05
    1239. 

  1239. Epoch 3/10
    1240. 

  1240. 
  1/262 [..............................] - ETA: 0s - loss: 2.8016e-06
 41/262 [===>..........................] - ETA: 0s - loss: 4.2026e-06
 80/262 [========>.....................] - ETA: 0s - loss: 5.9734e-06
120/262 [============>.................] - ETA: 0s - loss: 5.0829e-06
160/262 [=================>............] - ETA: 0s - loss: 4.6466e-06
198/262 [=====================>........] - ETA: 0s - loss: 4.0869e-06
236/262 [==========================>...] - ETA: 0s - loss: 3.5824e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.3092e-06
    1241. 

  1241. Epoch 4/10
    1242. 

  1242. 
  1/262 [..............................] - ETA: 0s - loss: 6.0647e-07
 37/262 [===>..........................] - ETA: 0s - loss: 1.2708e-06
 68/262 [======>.......................] - ETA: 0s - loss: 3.2300e-06
 96/262 [=========>....................] - ETA: 0s - loss: 2.5198e-06
125/262 [=============>................] - ETA: 0s - loss: 2.3975e-06
156/262 [================>.............] - ETA: 0s - loss: 2.4403e-06
193/262 [=====================>........] - ETA: 0s - loss: 2.4402e-06
225/262 [========================>.....] - ETA: 0s - loss: 2.2971e-06
256/262 [============================>.] - ETA: 0s - loss: 2.1909e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.1545e-06
    1243. 

  1243. Epoch 5/10
    1244. 

  1244. 
  1/262 [..............................] - ETA: 0s - loss: 4.1194e-07
 30/262 [==>...........................] - ETA: 0s - loss: 2.1126e-06
 62/262 [======>.......................] - ETA: 0s - loss: 1.1918e-06
101/262 [==========>...................] - ETA: 0s - loss: 1.8169e-06
141/262 [===============>..............] - ETA: 0s - loss: 1.5895e-06
181/262 [===================>..........] - ETA: 0s - loss: 1.9614e-06
220/262 [========================>.....] - ETA: 0s - loss: 1.7128e-06
260/262 [============================>.] - ETA: 0s - loss: 1.7802e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.7717e-06
    1245. 

  1245. Epoch 6/10
    1246. 

  1246. 
  1/262 [..............................] - ETA: 0s - loss: 9.3527e-08
 39/262 [===>..........................] - ETA: 0s - loss: 1.1386e-06
 78/262 [=======>......................] - ETA: 0s - loss: 1.8656e-06
117/262 [============>.................] - ETA: 0s - loss: 1.7474e-06
158/262 [=================>............] - ETA: 0s - loss: 1.4558e-06
197/262 [=====================>........] - ETA: 0s - loss: 1.6098e-06
237/262 [==========================>...] - ETA: 0s - loss: 1.4482e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5258e-06
    1247. 

  1247. Epoch 7/10
    1248. 

  1248. 
  1/262 [..............................] - ETA: 0s - loss: 1.5216e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.0155e-06
 73/262 [=======>......................] - ETA: 0s - loss: 7.3167e-07
103/262 [==========>...................] - ETA: 0s - loss: 1.6259e-06
139/262 [==============>...............] - ETA: 0s - loss: 1.6750e-06
170/262 [==================>...........] - ETA: 0s - loss: 1.5867e-06
209/262 [======================>.......] - ETA: 0s - loss: 1.3655e-06
247/262 [===========================>..] - ETA: 0s - loss: 1.4668e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.4108e-06
    1249. 

  1249. Epoch 8/10
    1250. 

  1250. 
  1/262 [..............................] - ETA: 0s - loss: 3.0748e-07
 41/262 [===>..........................] - ETA: 0s - loss: 1.2640e-06
 81/262 [========>.....................] - ETA: 0s - loss: 8.3799e-07
122/262 [============>.................] - ETA: 0s - loss: 1.6593e-06
161/262 [=================>............] - ETA: 0s - loss: 1.4144e-06
200/262 [=====================>........] - ETA: 0s - loss: 1.4282e-06
239/262 [==========================>...] - ETA: 0s - loss: 1.3625e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2771e-06
    1251. 

  1251. Epoch 9/10
    1252. 

  1252. 
  1/262 [..............................] - ETA: 0s - loss: 5.8507e-08
 41/262 [===>..........................] - ETA: 0s - loss: 4.7145e-07
 80/262 [========>.....................] - ETA: 0s - loss: 5.0938e-07
117/262 [============>.................] - ETA: 0s - loss: 1.5375e-06
157/262 [================>.............] - ETA: 0s - loss: 1.4154e-06
196/262 [=====================>........] - ETA: 0s - loss: 1.2919e-06
235/262 [=========================>....] - ETA: 0s - loss: 1.2429e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.2176e-06
    1253. 

  1253. Epoch 10/10
    1254. 

  1254. 
  1/262 [..............................] - ETA: 0s - loss: 4.9512e-08
 41/262 [===>..........................] - ETA: 0s - loss: 2.2953e-07
 80/262 [========>.....................] - ETA: 0s - loss: 6.7652e-07
119/262 [============>.................] - ETA: 0s - loss: 8.1994e-07
159/262 [=================>............] - ETA: 0s - loss: 1.5146e-06
199/262 [=====================>........] - ETA: 0s - loss: 1.2967e-06
238/262 [==========================>...] - ETA: 0s - loss: 1.2139e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.1655e-06
    1255. 

  1255. -> test with GAN.predict
    1256. 

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

  1257. GAN fn, tp: 1, 9
    1258. 

  1258. GAN f1 score: 0.947
    1259. 

  1259. GAN cohens kappa score: 0.947
    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: 1:00 - loss: 1.6288e-07
 38/262 [===>..........................] - ETA: 0s - loss: 8.8314e-06  
 78/262 [=======>......................] - ETA: 0s - loss: 4.5690e-06
115/262 [============>.................] - ETA: 0s - loss: 3.1897e-06
153/262 [================>.............] - ETA: 0s - loss: 2.6771e-06
192/262 [====================>.........] - ETA: 0s - loss: 3.7951e-06
229/262 [=========================>....] - ETA: 0s - loss: 3.6364e-06
262/262 [==============================] - 1s 1ms/step - loss: 3.2258e-06
    1294. 

  1294. Epoch 2/10
    1295. 

  1295. 
  1/262 [..............................] - ETA: 0s - loss: 4.3747e-08
 40/262 [===>..........................] - ETA: 0s - loss: 2.4203e-06
 75/262 [=======>......................] - ETA: 0s - loss: 1.4448e-06
114/262 [============>.................] - ETA: 0s - loss: 1.7737e-06
153/262 [================>.............] - ETA: 0s - loss: 1.6174e-06
188/262 [====================>.........] - ETA: 0s - loss: 1.3930e-06
221/262 [========================>.....] - ETA: 0s - loss: 1.3329e-06
255/262 [============================>.] - ETA: 0s - loss: 1.1719e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.1473e-06
    1296. 

  1296. Epoch 3/10
    1297. 

  1297. 
  1/262 [..............................] - ETA: 0s - loss: 3.7134e-08
 38/262 [===>..........................] - ETA: 0s - loss: 2.0700e-06
 76/262 [=======>......................] - ETA: 0s - loss: 1.4246e-06
114/262 [============>.................] - ETA: 0s - loss: 1.3627e-06
153/262 [================>.............] - ETA: 0s - loss: 1.1012e-06
190/262 [====================>.........] - ETA: 0s - loss: 9.4735e-07
228/262 [=========================>....] - ETA: 0s - loss: 8.0287e-07
262/262 [==============================] - 0s 1ms/step - loss: 7.1365e-07
    1298. 

  1298. Epoch 4/10
    1299. 

  1299. 
  1/262 [..............................] - ETA: 0s - loss: 6.4068e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.2938e-06
 79/262 [========>.....................] - ETA: 0s - loss: 9.4980e-07
114/262 [============>.................] - ETA: 0s - loss: 8.1925e-07
151/262 [================>.............] - ETA: 0s - loss: 6.5506e-07
186/262 [====================>.........] - ETA: 0s - loss: 5.7334e-07
218/262 [=======================>......] - ETA: 0s - loss: 6.0823e-07
252/262 [===========================>..] - ETA: 0s - loss: 5.3804e-07
262/262 [==============================] - 0s 1ms/step - loss: 5.2076e-07
    1300. 

  1300. Epoch 5/10
    1301. 

  1301. 
  1/262 [..............................] - ETA: 0s - loss: 6.3422e-08
 39/262 [===>..........................] - ETA: 0s - loss: 8.1068e-07
 73/262 [=======>......................] - ETA: 0s - loss: 4.7103e-07
112/262 [===========>..................] - ETA: 0s - loss: 3.8510e-07
150/262 [================>.............] - ETA: 0s - loss: 3.6608e-07
187/262 [====================>.........] - ETA: 0s - loss: 3.1595e-07
225/262 [========================>.....] - ETA: 0s - loss: 2.7661e-07
262/262 [==============================] - 0s 1ms/step - loss: 4.1653e-07
    1302. 

  1302. Epoch 6/10
    1303. 

  1303. 
  1/262 [..............................] - ETA: 0s - loss: 5.0937e-08
 35/262 [===>..........................] - ETA: 0s - loss: 4.9544e-06
 72/262 [=======>......................] - ETA: 0s - loss: 2.6838e-06
110/262 [===========>..................] - ETA: 0s - loss: 1.8817e-06
149/262 [================>.............] - ETA: 0s - loss: 1.4952e-06
187/262 [====================>.........] - ETA: 0s - loss: 1.2015e-06
226/262 [========================>.....] - ETA: 0s - loss: 1.1545e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.0133e-06
    1304. 

  1304. Epoch 7/10
    1305. 

  1305. 
  1/262 [..............................] - ETA: 0s - loss: 9.9223e-08
 40/262 [===>..........................] - ETA: 0s - loss: 3.7942e-07
 77/262 [=======>......................] - ETA: 0s - loss: 2.5355e-07
117/262 [============>.................] - ETA: 0s - loss: 2.9131e-07
154/262 [================>.............] - ETA: 0s - loss: 2.3928e-07
193/262 [=====================>........] - ETA: 0s - loss: 2.1168e-07
229/262 [=========================>....] - ETA: 0s - loss: 1.9370e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.2493e-07
    1306. 

  1306. Epoch 8/10
    1307. 

  1307. 
  1/262 [..............................] - ETA: 0s - loss: 2.3677e-08
 39/262 [===>..........................] - ETA: 0s - loss: 7.9547e-08
 78/262 [=======>......................] - ETA: 0s - loss: 6.3057e-08
115/262 [============>.................] - ETA: 0s - loss: 6.0786e-08
154/262 [================>.............] - ETA: 0s - loss: 1.6194e-07
193/262 [=====================>........] - ETA: 0s - loss: 1.6047e-07
228/262 [=========================>....] - ETA: 0s - loss: 2.2052e-07
259/262 [============================>.] - ETA: 0s - loss: 2.0916e-07
262/262 [==============================] - 0s 1ms/step - loss: 2.0817e-07
    1308. 

  1308. Epoch 9/10
    1309. 

  1309. 
  1/262 [..............................] - ETA: 0s - loss: 4.1072e-08
 37/262 [===>..........................] - ETA: 0s - loss: 1.1773e-07
 76/262 [=======>......................] - ETA: 0s - loss: 8.7080e-08
112/262 [===========>..................] - ETA: 0s - loss: 1.6939e-07
151/262 [================>.............] - ETA: 0s - loss: 1.3684e-07
188/262 [====================>.........] - ETA: 0s - loss: 1.1539e-07
227/262 [========================>.....] - ETA: 0s - loss: 1.0410e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.7454e-07
    1310. 

  1310. Epoch 10/10
    1311. 

  1311. 
  1/262 [..............................] - ETA: 0s - loss: 1.8805e-08
 39/262 [===>..........................] - ETA: 0s - loss: 1.6746e-07
 72/262 [=======>......................] - ETA: 0s - loss: 1.6565e-07
104/262 [==========>...................] - ETA: 0s - loss: 1.2526e-07
142/262 [===============>..............] - ETA: 0s - loss: 1.1741e-07
181/262 [===================>..........] - ETA: 0s - loss: 1.0704e-07
218/262 [=======================>......] - ETA: 0s - loss: 1.5042e-07
256/262 [============================>.] - ETA: 0s - loss: 1.3577e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.5812e-07
    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: 653, 1
    1320. 

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

  1321. LR f1 score: 0.952
    1322. 

  1322. LR cohens kappa score: 0.952
    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. 
  1/262 [..............................] - ETA: 43s - loss: 2.0933e-06
 40/262 [===>..........................] - ETA: 0s - loss: 1.0635e-04 
 81/262 [========>.....................] - ETA: 0s - loss: 0.0023    
122/262 [============>.................] - ETA: 0s - loss: 0.0077
160/262 [=================>............] - ETA: 0s - loss: 0.0059
196/262 [=====================>........] - ETA: 0s - loss: 0.0048
230/262 [=========================>....] - ETA: 0s - loss: 0.0041
262/262 [==============================] - 1s 1ms/step - loss: 0.0036
    1351. 

  1351. Epoch 2/10
    1352. 

  1352. 
  1/262 [..............................] - ETA: 0s - loss: 5.7957e-06
 34/262 [==>...........................] - ETA: 0s - loss: 6.8317e-06
 73/262 [=======>......................] - ETA: 0s - loss: 6.8441e-06
111/262 [===========>..................] - ETA: 0s - loss: 5.2096e-06
149/262 [================>.............] - ETA: 0s - loss: 4.6662e-06
189/262 [====================>.........] - ETA: 0s - loss: 2.5665e-04
229/262 [=========================>....] - ETA: 0s - loss: 2.1329e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.9421e-04
    1353. 

  1353. Epoch 3/10
    1354. 

  1354. 
  1/262 [..............................] - ETA: 0s - loss: 1.2649e-06
 31/262 [==>...........................] - ETA: 0s - loss: 3.5210e-06
 63/262 [======>.......................] - ETA: 0s - loss: 2.2317e-06
 95/262 [=========>....................] - ETA: 0s - loss: 2.1773e-06
124/262 [=============>................] - ETA: 0s - loss: 1.8386e-06
150/262 [================>.............] - ETA: 0s - loss: 3.5204e-06
177/262 [===================>..........] - ETA: 0s - loss: 3.0981e-06
204/262 [======================>.......] - ETA: 0s - loss: 2.8805e-06
236/262 [==========================>...] - ETA: 0s - loss: 2.6805e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.5216e-06
    1355. 

  1355. Epoch 4/10
    1356. 

  1356. 
  1/262 [..............................] - ETA: 0s - loss: 1.6535e-06
 34/262 [==>...........................] - ETA: 0s - loss: 1.6032e-06
 64/262 [======>.......................] - ETA: 0s - loss: 1.2431e-06
 96/262 [=========>....................] - ETA: 0s - loss: 1.4011e-06
128/262 [=============>................] - ETA: 0s - loss: 1.4891e-06
159/262 [=================>............] - ETA: 0s - loss: 1.4196e-06
195/262 [=====================>........] - ETA: 0s - loss: 1.4887e-06
233/262 [=========================>....] - ETA: 0s - loss: 1.3832e-06
262/262 [==============================] - 0s 2ms/step - loss: 2.3423e-06
    1357. 

  1357. Epoch 5/10
    1358. 

  1358. 
  1/262 [..............................] - ETA: 0s - loss: 2.1340e-07
 30/262 [==>...........................] - ETA: 0s - loss: 1.0257e-06
 62/262 [======>.......................] - ETA: 0s - loss: 3.6794e-06
 94/262 [=========>....................] - ETA: 0s - loss: 3.0211e-06
127/262 [=============>................] - ETA: 0s - loss: 2.4820e-06
163/262 [=================>............] - ETA: 0s - loss: 2.6660e-06
203/262 [======================>.......] - ETA: 0s - loss: 2.5113e-06
243/262 [==========================>...] - ETA: 0s - loss: 2.2173e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.1261e-06
    1359. 

  1359. Epoch 6/10
    1360. 

  1360. 
  1/262 [..............................] - ETA: 0s - loss: 1.3282e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.1313e-06
 79/262 [========>.....................] - ETA: 0s - loss: 9.0376e-07
118/262 [============>.................] - ETA: 0s - loss: 1.4640e-06
159/262 [=================>............] - ETA: 0s - loss: 1.2552e-06
199/262 [=====================>........] - ETA: 0s - loss: 1.2129e-06
240/262 [==========================>...] - ETA: 0s - loss: 1.1574e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.0423e-06
    1361. 

  1361. Epoch 7/10
    1362. 

  1362. 
  1/262 [..............................] - ETA: 0s - loss: 1.1016e-06
 38/262 [===>..........................] - ETA: 0s - loss: 6.3694e-07
 71/262 [=======>......................] - ETA: 0s - loss: 2.7136e-06
104/262 [==========>...................] - ETA: 0s - loss: 2.3868e-06
134/262 [==============>...............] - ETA: 0s - loss: 2.0246e-06
166/262 [==================>...........] - ETA: 0s - loss: 1.9122e-06
203/262 [======================>.......] - ETA: 0s - loss: 1.8098e-06
240/262 [==========================>...] - ETA: 0s - loss: 1.9354e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.8380e-06
    1363. 

  1363. Epoch 8/10
    1364. 

  1364. 
  1/262 [..............................] - ETA: 0s - loss: 8.2904e-07
 33/262 [==>...........................] - ETA: 0s - loss: 6.7920e-07
 64/262 [======>.......................] - ETA: 0s - loss: 7.1990e-07
 94/262 [=========>....................] - ETA: 0s - loss: 6.2125e-07
124/262 [=============>................] - ETA: 0s - loss: 2.2420e-06
156/262 [================>.............] - ETA: 0s - loss: 2.0963e-06
185/262 [====================>.........] - ETA: 0s - loss: 2.2083e-06
217/262 [=======================>......] - ETA: 0s - loss: 2.0712e-06
250/262 [===========================>..] - ETA: 0s - loss: 1.8928e-06
262/262 [==============================] - 0s 2ms/step - loss: 1.8577e-06
    1365. 

  1365. Epoch 9/10
    1366. 

  1366. 
  1/262 [..............................] - ETA: 0s - loss: 2.0209e-07
 34/262 [==>...........................] - ETA: 0s - loss: 1.3945e-06
 67/262 [======>.......................] - ETA: 0s - loss: 1.1605e-06
106/262 [===========>..................] - ETA: 0s - loss: 9.6479e-07
147/262 [===============>..............] - ETA: 0s - loss: 2.0232e-06
187/262 [====================>.........] - ETA: 0s - loss: 1.8245e-06
224/262 [========================>.....] - ETA: 0s - loss: 1.9180e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.7024e-06
    1367. 

  1367. Epoch 10/10
    1368. 

  1368. 
  1/262 [..............................] - ETA: 0s - loss: 2.2009e-07
 41/262 [===>..........................] - ETA: 0s - loss: 3.9733e-07
 82/262 [========>.....................] - ETA: 0s - loss: 1.2725e-06
123/262 [=============>................] - ETA: 0s - loss: 2.5186e-06
163/262 [=================>............] - ETA: 0s - loss: 2.1640e-06
203/262 [======================>.......] - ETA: 0s - loss: 1.8326e-06
242/262 [==========================>...] - ETA: 0s - loss: 1.6636e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.6058e-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. 
  1/262 [..............................] - ETA: 54s - loss: 5.0781e-07
 41/262 [===>..........................] - ETA: 0s - loss: 2.1829e-04 
 76/262 [=======>......................] - ETA: 0s - loss: 1.1859e-04
115/262 [============>.................] - ETA: 0s - loss: 7.8560e-05
154/262 [================>.............] - ETA: 0s - loss: 5.8792e-05
187/262 [====================>.........] - ETA: 0s - loss: 4.8558e-05
221/262 [========================>.....] - ETA: 0s - loss: 4.4093e-05
261/262 [============================>.] - ETA: 0s - loss: 3.7585e-05
262/262 [==============================] - 1s 1ms/step - loss: 3.7501e-05
    1408. 

  1408. Epoch 2/10
    1409. 

  1409. 
  1/262 [..............................] - ETA: 0s - loss: 1.4409e-06
 41/262 [===>..........................] - ETA: 0s - loss: 1.1527e-06
 80/262 [========>.....................] - ETA: 0s - loss: 9.5706e-07
118/262 [============>.................] - ETA: 0s - loss: 5.2754e-06
158/262 [=================>............] - ETA: 0s - loss: 5.0427e-06
195/262 [=====================>........] - ETA: 0s - loss: 4.5497e-06
235/262 [=========================>....] - ETA: 0s - loss: 4.2853e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.9547e-06
    1410. 

  1410. Epoch 3/10
    1411. 

  1411. 
  1/262 [..............................] - ETA: 0s - loss: 7.0357e-07
 40/262 [===>..........................] - ETA: 0s - loss: 1.0107e-06
 78/262 [=======>......................] - ETA: 0s - loss: 2.0272e-06
115/262 [============>.................] - ETA: 0s - loss: 5.9276e-06
153/262 [================>.............] - ETA: 0s - loss: 4.9276e-06
193/262 [=====================>........] - ETA: 0s - loss: 4.0292e-06
232/262 [=========================>....] - ETA: 0s - loss: 3.4471e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.1311e-06
    1412. 

  1412. Epoch 4/10
    1413. 

  1413. 
  1/262 [..............................] - ETA: 0s - loss: 4.6823e-07
 38/262 [===>..........................] - ETA: 0s - loss: 5.5454e-07
 70/262 [=======>......................] - ETA: 0s - loss: 6.4401e-07
101/262 [==========>...................] - ETA: 0s - loss: 6.4206e-07
134/262 [==============>...............] - ETA: 0s - loss: 1.4781e-06
173/262 [==================>...........] - ETA: 0s - loss: 1.3482e-06
212/262 [=======================>......] - ETA: 0s - loss: 3.1153e-06
251/262 [===========================>..] - ETA: 0s - loss: 3.5814e-06
262/262 [==============================] - 0s 1ms/step - loss: 3.4918e-06
    1414. 

  1414. Epoch 5/10
    1415. 

  1415. 
  1/262 [..............................] - ETA: 0s - loss: 4.6560e-07
 41/262 [===>..........................] - ETA: 0s - loss: 4.0765e-06
 79/262 [========>.....................] - ETA: 0s - loss: 2.5726e-06
118/262 [============>.................] - ETA: 0s - loss: 2.1706e-06
157/262 [================>.............] - ETA: 0s - loss: 1.7815e-06
197/262 [=====================>........] - ETA: 0s - loss: 1.5873e-06
236/262 [==========================>...] - ETA: 0s - loss: 1.4058e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.6074e-06
    1416. 

  1416. Epoch 6/10
    1417. 

  1417. 
  1/262 [..............................] - ETA: 0s - loss: 3.1857e-07
 40/262 [===>..........................] - ETA: 0s - loss: 5.1517e-06
 79/262 [========>.....................] - ETA: 0s - loss: 3.5337e-06
118/262 [============>.................] - ETA: 0s - loss: 2.7081e-06
158/262 [=================>............] - ETA: 0s - loss: 2.4869e-06
198/262 [=====================>........] - ETA: 0s - loss: 2.1080e-06
235/262 [=========================>....] - ETA: 0s - loss: 1.8587e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.7237e-06
    1418. 

  1418. Epoch 7/10
    1419. 

  1419. 
  1/262 [..............................] - ETA: 0s - loss: 2.2194e-07
 41/262 [===>..........................] - ETA: 0s - loss: 4.1605e-07
 81/262 [========>.....................] - ETA: 0s - loss: 3.3101e-07
118/262 [============>.................] - ETA: 0s - loss: 3.4643e-07
157/262 [================>.............] - ETA: 0s - loss: 3.9897e-07
196/262 [=====================>........] - ETA: 0s - loss: 3.6728e-07
233/262 [=========================>....] - ETA: 0s - loss: 8.5330e-07
262/262 [==============================] - 0s 1ms/step - loss: 1.3736e-06
    1420. 

  1420. Epoch 8/10
    1421. 

  1421. 
  1/262 [..............................] - ETA: 0s - loss: 1.8343e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.1323e-06
 79/262 [========>.....................] - ETA: 0s - loss: 1.7683e-06
116/262 [============>.................] - ETA: 0s - loss: 1.5107e-06
156/262 [================>.............] - ETA: 0s - loss: 2.5538e-06
196/262 [=====================>........] - ETA: 0s - loss: 2.7249e-06
235/262 [=========================>....] - ETA: 0s - loss: 2.4030e-06
262/262 [==============================] - 0s 1ms/step - loss: 2.2842e-06
    1422. 

  1422. Epoch 9/10
    1423. 

  1423. 
  1/262 [..............................] - ETA: 0s - loss: 3.3572e-07
 39/262 [===>..........................] - ETA: 0s - loss: 4.9224e-06
 78/262 [=======>......................] - ETA: 0s - loss: 3.9115e-06
118/262 [============>.................] - ETA: 0s - loss: 3.0031e-06
157/262 [================>.............] - ETA: 0s - loss: 2.3341e-06
196/262 [=====================>........] - ETA: 0s - loss: 1.9205e-06
236/262 [==========================>...] - ETA: 0s - loss: 1.6607e-06
262/262 [==============================] - 0s 1ms/step - loss: 1.5313e-06
    1424. 

  1424. Epoch 10/10
    1425. 

  1425. 
  1/262 [..............................] - ETA: 0s - loss: 6.7326e-08
 39/262 [===>..........................] - ETA: 0s - loss: 7.4928e-06
 72/262 [=======>......................] - ETA: 0s - loss: 1.0789e-05
109/262 [===========>..................] - ETA: 0s - loss: 7.2261e-06
141/262 [===============>..............] - ETA: 0s - loss: 5.6690e-06
175/262 [===================>..........] - ETA: 0s - loss: 4.5936e-06
212/262 [=======================>......] - ETA: 0s - loss: 3.8994e-06
251/262 [===========================>..] - ETA: 0s - loss: 1.1990e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.1519e-05
    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, 1
    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: 653.32, 0.08
    1470. 

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

  1471. LR f1 score: 0.996
    1472. 

  1472. LR cohens kappa score: 0.996
    1473. 

  1473. LR average precision score: 1.000
    1474. 

  1474. 

  1475. 

  1476. minimum:
    1477. 

  1477. LR tn, fp: 651, 0
    1478. 

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

  1479. LR f1 score: 0.952
    1480. 

  1480. LR cohens kappa score: 0.952
    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: 0.36, 9.44
    1539. 

  1539. KNN f1 score: 0.932
    1540. 

  1540. KNN cohens kappa score: 0.931
    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: 0.08, 9.72
    1561. 

  1561. GAN f1 score: 0.996
    1562. 

  1562. GAN cohens kappa score: 0.996
    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.