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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-5 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: 49s - loss: 9.9709e-05
 36/262 [===>..........................] - ETA: 0s - loss: 0.0024     
 73/262 [=======>......................] - ETA: 0s - loss: 0.0019
112/262 [===========>..................] - ETA: 0s - loss: 0.0023
147/262 [===============>..............] - ETA: 0s - loss: 0.0021
187/262 [====================>.........] - ETA: 0s - loss: 0.0021
227/262 [========================>.....] - ETA: 0s - loss: 0.0022
262/262 [==============================] - ETA: 0s - loss: 0.0021
262/262 [==============================] - 1s 1ms/step - loss: 0.0021
    24. 

  24. Epoch 2/10
    25. 

  25. 
  1/262 [..............................] - ETA: 0s - loss: 1.3357e-04
 42/262 [===>..........................] - ETA: 0s - loss: 2.9305e-04
 78/262 [=======>......................] - ETA: 0s - loss: 7.4690e-04
118/262 [============>.................] - ETA: 0s - loss: 0.0020    
156/262 [================>.............] - ETA: 0s - loss: 0.0016
192/262 [====================>.........] - ETA: 0s - loss: 0.0016
229/262 [=========================>....] - ETA: 0s - loss: 0.0018
262/262 [==============================] - 0s 1ms/step - loss: 0.0020
    26. 

  26. Epoch 3/10
    27. 

  27. 
  1/262 [..............................] - ETA: 0s - loss: 2.0167e-04
 33/262 [==>...........................] - ETA: 0s - loss: 0.0023    
 68/262 [======>.......................] - ETA: 0s - loss: 0.0012
103/262 [==========>...................] - ETA: 0s - loss: 0.0022
143/262 [===============>..............] - ETA: 0s - loss: 0.0021
181/262 [===================>..........] - ETA: 0s - loss: 0.0017
217/262 [=======================>......] - ETA: 0s - loss: 0.0014
258/262 [============================>.] - ETA: 0s - loss: 0.0019
262/262 [==============================] - 0s 1ms/step - loss: 0.0018
    28. 

  28. Epoch 4/10
    29. 

  29. 
  1/262 [..............................] - ETA: 0s - loss: 9.5284e-05
 39/262 [===>..........................] - ETA: 0s - loss: 9.9864e-04
 78/262 [=======>......................] - ETA: 0s - loss: 0.0018    
117/262 [============>.................] - ETA: 0s - loss: 0.0020
153/262 [================>.............] - ETA: 0s - loss: 0.0016
194/262 [=====================>........] - ETA: 0s - loss: 0.0018
235/262 [=========================>....] - ETA: 0s - loss: 0.0016
262/262 [==============================] - 0s 1ms/step - loss: 0.0017
    30. 

  30. Epoch 5/10
    31. 

  31. 
  1/262 [..............................] - ETA: 0s - loss: 6.1870e-05
 39/262 [===>..........................] - ETA: 0s - loss: 0.0016    
 75/262 [=======>......................] - ETA: 0s - loss: 0.0021
114/262 [============>.................] - ETA: 0s - loss: 0.0019
155/262 [================>.............] - ETA: 0s - loss: 0.0018
196/262 [=====================>........] - ETA: 0s - loss: 0.0016
234/262 [=========================>....] - ETA: 0s - loss: 0.0015
262/262 [==============================] - 0s 1ms/step - loss: 0.0016
    32. 

  32. Epoch 6/10
    33. 

  33. 
  1/262 [..............................] - ETA: 0s - loss: 4.4249e-05
 40/262 [===>..........................] - ETA: 0s - loss: 0.0022    
 76/262 [=======>......................] - ETA: 0s - loss: 0.0015
110/262 [===========>..................] - ETA: 0s - loss: 0.0013
142/262 [===============>..............] - ETA: 0s - loss: 0.0013
174/262 [==================>...........] - ETA: 0s - loss: 0.0015
209/262 [======================>.......] - ETA: 0s - loss: 0.0014
241/262 [==========================>...] - ETA: 0s - loss: 0.0014
262/262 [==============================] - 0s 1ms/step - loss: 0.0014
    34. 

  34. Epoch 7/10
    35. 

  35. 
  1/262 [..............................] - ETA: 0s - loss: 1.0093e-04
 40/262 [===>..........................] - ETA: 0s - loss: 6.9727e-04
 81/262 [========>.....................] - ETA: 0s - loss: 0.0016    
121/262 [============>.................] - ETA: 0s - loss: 0.0013
161/262 [=================>............] - ETA: 0s - loss: 0.0016
202/262 [======================>.......] - ETA: 0s - loss: 0.0014
240/262 [==========================>...] - ETA: 0s - loss: 0.0013
262/262 [==============================] - 0s 1ms/step - loss: 0.0013
    36. 

  36. Epoch 8/10
    37. 

  37. 
  1/262 [..............................] - ETA: 0s - loss: 3.5393e-04
 38/262 [===>..........................] - ETA: 0s - loss: 6.7963e-04
 78/262 [=======>......................] - ETA: 0s - loss: 0.0015    
119/262 [============>.................] - ETA: 0s - loss: 0.0012
159/262 [=================>............] - ETA: 0s - loss: 0.0013
197/262 [=====================>........] - ETA: 0s - loss: 0.0013
233/262 [=========================>....] - ETA: 0s - loss: 0.0092
262/262 [==============================] - 0s 1ms/step - loss: 0.0082
    38. 

  38. Epoch 9/10
    39. 

  39. 
  1/262 [..............................] - ETA: 0s - loss: 7.6117e-05
 40/262 [===>..........................] - ETA: 0s - loss: 6.9704e-04
 76/262 [=======>......................] - ETA: 0s - loss: 9.4441e-04
115/262 [============>.................] - ETA: 0s - loss: 8.1968e-04
154/262 [================>.............] - ETA: 0s - loss: 0.0012    
196/262 [=====================>........] - ETA: 0s - loss: 0.0011
236/262 [==========================>...] - ETA: 0s - loss: 0.0011
262/262 [==============================] - 0s 1ms/step - loss: 0.0011
    40. 

  40. Epoch 10/10
    41. 

  41. 
  1/262 [..............................] - ETA: 0s - loss: 1.2303e-05
 41/262 [===>..........................] - ETA: 0s - loss: 0.0014    
 81/262 [========>.....................] - ETA: 0s - loss: 0.0012
121/262 [============>.................] - ETA: 0s - loss: 9.8109e-04
162/262 [=================>............] - ETA: 0s - loss: 8.5322e-04
200/262 [=====================>........] - ETA: 0s - loss: 0.0011    
240/262 [==========================>...] - ETA: 0s - loss: 0.0010
262/262 [==============================] - 0s 1ms/step - loss: 9.5338e-04
    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: 652, 2
    50. 

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

  51. LR f1 score: 0.909
    52. 

  52. LR cohens kappa score: 0.908
    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: 43s - loss: 1.1934e-04
 43/262 [===>..........................] - ETA: 0s - loss: 1.5256e-04 
 84/262 [========>.....................] - ETA: 0s - loss: 1.4566e-04
125/262 [=============>................] - ETA: 0s - loss: 1.3591e-04
165/262 [=================>............] - ETA: 0s - loss: 1.7622e-04
205/262 [======================>.......] - ETA: 0s - loss: 1.7372e-04
245/262 [===========================>..] - ETA: 0s - loss: 1.6641e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.6144e-04
    81. 

  81. Epoch 2/10
    82. 

  82. 
  1/262 [..............................] - ETA: 0s - loss: 5.5771e-05
 43/262 [===>..........................] - ETA: 0s - loss: 8.8731e-05
 82/262 [========>.....................] - ETA: 0s - loss: 8.8557e-05
124/262 [=============>................] - ETA: 0s - loss: 9.8399e-05
164/262 [=================>............] - ETA: 0s - loss: 1.4834e-04
204/262 [======================>.......] - ETA: 0s - loss: 1.4100e-04
245/262 [===========================>..] - ETA: 0s - loss: 1.3119e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2764e-04
    83. 

  83. Epoch 3/10
    84. 

  84. 
  1/262 [..............................] - ETA: 0s - loss: 8.8922e-05
 38/262 [===>..........................] - ETA: 0s - loss: 8.1664e-05
 77/262 [=======>......................] - ETA: 0s - loss: 8.0683e-05
114/262 [============>.................] - ETA: 0s - loss: 7.5852e-05
154/262 [================>.............] - ETA: 0s - loss: 7.5115e-05
195/262 [=====================>........] - ETA: 0s - loss: 6.9399e-05
235/262 [=========================>....] - ETA: 0s - loss: 1.0015e-04
262/262 [==============================] - 0s 1ms/step - loss: 9.8113e-05
    85. 

  85. Epoch 4/10
    86. 

  86. 
  1/262 [..............................] - ETA: 0s - loss: 7.8293e-05
 41/262 [===>..........................] - ETA: 0s - loss: 5.7194e-05
 79/262 [========>.....................] - ETA: 0s - loss: 5.4043e-05
121/262 [============>.................] - ETA: 0s - loss: 5.3201e-05
161/262 [=================>............] - ETA: 0s - loss: 5.0465e-05
202/262 [======================>.......] - ETA: 0s - loss: 4.7707e-05
243/262 [==========================>...] - ETA: 0s - loss: 5.0718e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.2859e-05
    87. 

  87. Epoch 5/10
    88. 

  88. 
  1/262 [..............................] - ETA: 0s - loss: 9.1769e-05
 42/262 [===>..........................] - ETA: 0s - loss: 1.0120e-04
 76/262 [=======>......................] - ETA: 0s - loss: 1.1592e-04
115/262 [============>.................] - ETA: 0s - loss: 9.5434e-05
154/262 [================>.............] - ETA: 0s - loss: 8.3617e-05
194/262 [=====================>........] - ETA: 0s - loss: 7.4029e-05
232/262 [=========================>....] - ETA: 0s - loss: 6.8172e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.4816e-05
    89. 

  89. Epoch 6/10
    90. 

  90. 
  1/262 [..............................] - ETA: 0s - loss: 2.2366e-05
 39/262 [===>..........................] - ETA: 0s - loss: 3.3263e-05
 80/262 [========>.....................] - ETA: 0s - loss: 3.5732e-05
121/262 [============>.................] - ETA: 0s - loss: 3.5287e-05
162/262 [=================>............] - ETA: 0s - loss: 3.5846e-05
203/262 [======================>.......] - ETA: 0s - loss: 3.4414e-05
240/262 [==========================>...] - ETA: 0s - loss: 5.8061e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.2289e-05
    91. 

  91. Epoch 7/10
    92. 

  92. 
  1/262 [..............................] - ETA: 0s - loss: 2.7948e-05
 37/262 [===>..........................] - ETA: 0s - loss: 4.8502e-05
 74/262 [=======>......................] - ETA: 0s - loss: 3.9917e-05
110/262 [===========>..................] - ETA: 0s - loss: 3.4776e-05
150/262 [================>.............] - ETA: 0s - loss: 3.2263e-05
191/262 [====================>.........] - ETA: 0s - loss: 3.1108e-05
229/262 [=========================>....] - ETA: 0s - loss: 5.0717e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.2979e-05
    93. 

  93. Epoch 8/10
    94. 

  94. 
  1/262 [..............................] - ETA: 0s - loss: 1.1660e-05
 42/262 [===>..........................] - ETA: 0s - loss: 2.9119e-05
 80/262 [========>.....................] - ETA: 0s - loss: 2.5940e-05
122/262 [============>.................] - ETA: 0s - loss: 6.5032e-05
162/262 [=================>............] - ETA: 0s - loss: 5.7342e-05
197/262 [=====================>........] - ETA: 0s - loss: 5.1395e-05
236/262 [==========================>...] - ETA: 0s - loss: 4.6736e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.3608e-05
    95. 

  95. Epoch 9/10
    96. 

  96. 
  1/262 [..............................] - ETA: 0s - loss: 1.2921e-05
 43/262 [===>..........................] - ETA: 0s - loss: 1.9950e-05
 84/262 [========>.....................] - ETA: 0s - loss: 2.0612e-05
125/262 [=============>................] - ETA: 0s - loss: 1.9217e-05
166/262 [==================>...........] - ETA: 0s - loss: 2.0247e-05
206/262 [======================>.......] - ETA: 0s - loss: 1.9226e-05
246/262 [===========================>..] - ETA: 0s - loss: 3.2570e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.6848e-05
    97. 

  97. Epoch 10/10
    98. 

  98. 
  1/262 [..............................] - ETA: 0s - loss: 1.3468e-05
 37/262 [===>..........................] - ETA: 0s - loss: 4.2269e-05
 73/262 [=======>......................] - ETA: 0s - loss: 3.4682e-05
107/262 [===========>..................] - ETA: 0s - loss: 2.8185e-05
138/262 [==============>...............] - ETA: 0s - loss: 2.5076e-05
172/262 [==================>...........] - ETA: 0s - loss: 2.3476e-05
209/262 [======================>.......] - ETA: 0s - loss: 4.0107e-05
250/262 [===========================>..] - ETA: 0s - loss: 4.0608e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.9442e-05
    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: 40s - loss: 5.1062e-04
 42/262 [===>..........................] - ETA: 0s - loss: 2.4493e-04 
 83/262 [========>.....................] - ETA: 0s - loss: 2.3533e-04
123/262 [=============>................] - ETA: 0s - loss: 2.2347e-04
164/262 [=================>............] - ETA: 0s - loss: 1.9444e-04
206/262 [======================>.......] - ETA: 0s - loss: 1.8229e-04
247/262 [===========================>..] - ETA: 0s - loss: 1.7659e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.7845e-04
    138. 

  138. Epoch 2/10
    139. 

  139. 
  1/262 [..............................] - ETA: 0s - loss: 5.4183e-05
 41/262 [===>..........................] - ETA: 0s - loss: 1.0813e-04
 81/262 [========>.....................] - ETA: 0s - loss: 1.0430e-04
114/262 [============>.................] - ETA: 0s - loss: 1.1503e-04
148/262 [===============>..............] - ETA: 0s - loss: 1.1804e-04
186/262 [====================>.........] - ETA: 0s - loss: 1.2497e-04
226/262 [========================>.....] - ETA: 0s - loss: 1.3186e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.3207e-04
    140. 

  140. Epoch 3/10
    141. 

  141. 
  1/262 [..............................] - ETA: 0s - loss: 3.9352e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.3063e-04
 81/262 [========>.....................] - ETA: 0s - loss: 1.1426e-04
121/262 [============>.................] - ETA: 0s - loss: 1.0703e-04
160/262 [=================>............] - ETA: 0s - loss: 1.0500e-04
199/262 [=====================>........] - ETA: 0s - loss: 1.0445e-04
238/262 [==========================>...] - ETA: 0s - loss: 1.0167e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0113e-04
    142. 

  142. Epoch 4/10
    143. 

  143. 
  1/262 [..............................] - ETA: 0s - loss: 1.2437e-05
 37/262 [===>..........................] - ETA: 0s - loss: 8.9160e-05
 78/262 [=======>......................] - ETA: 0s - loss: 9.1563e-05
119/262 [============>.................] - ETA: 0s - loss: 8.9620e-05
160/262 [=================>............] - ETA: 0s - loss: 9.0979e-05
198/262 [=====================>........] - ETA: 0s - loss: 8.7773e-05
239/262 [==========================>...] - ETA: 0s - loss: 8.6712e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.2914e-05
    144. 

  144. Epoch 5/10
    145. 

  145. 
  1/262 [..............................] - ETA: 0s - loss: 3.2474e-05
 41/262 [===>..........................] - ETA: 0s - loss: 5.5465e-05
 80/262 [========>.....................] - ETA: 0s - loss: 7.1733e-05
120/262 [============>.................] - ETA: 0s - loss: 6.8176e-05
160/262 [=================>............] - ETA: 0s - loss: 7.1905e-05
200/262 [=====================>........] - ETA: 0s - loss: 7.1934e-05
235/262 [=========================>....] - ETA: 0s - loss: 7.2030e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.8234e-05
    146. 

  146. Epoch 6/10
    147. 

  147. 
  1/262 [..............................] - ETA: 0s - loss: 2.6813e-05
 41/262 [===>..........................] - ETA: 0s - loss: 7.8572e-05
 81/262 [========>.....................] - ETA: 0s - loss: 7.0135e-05
121/262 [============>.................] - ETA: 0s - loss: 6.1640e-05
162/262 [=================>............] - ETA: 0s - loss: 6.3162e-05
202/262 [======================>.......] - ETA: 0s - loss: 6.3425e-05
243/262 [==========================>...] - ETA: 0s - loss: 5.8862e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.8272e-05
    148. 

  148. Epoch 7/10
    149. 

  149. 
  1/262 [..............................] - ETA: 0s - loss: 1.8850e-05
 41/262 [===>..........................] - ETA: 0s - loss: 5.0101e-05
 80/262 [========>.....................] - ETA: 0s - loss: 4.2583e-05
119/262 [============>.................] - ETA: 0s - loss: 4.8209e-05
159/262 [=================>............] - ETA: 0s - loss: 4.8071e-05
199/262 [=====================>........] - ETA: 0s - loss: 4.5198e-05
240/262 [==========================>...] - ETA: 0s - loss: 4.3035e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.7514e-05
    150. 

  150. Epoch 8/10
    151. 

  151. 
  1/262 [..............................] - ETA: 0s - loss: 1.9159e-05
 42/262 [===>..........................] - ETA: 0s - loss: 4.4781e-05
 81/262 [========>.....................] - ETA: 0s - loss: 4.6735e-05
118/262 [============>.................] - ETA: 0s - loss: 4.2152e-05
158/262 [=================>............] - ETA: 0s - loss: 4.0508e-05
193/262 [=====================>........] - ETA: 0s - loss: 4.0045e-05
227/262 [========================>.....] - ETA: 0s - loss: 4.0184e-05
260/262 [============================>.] - ETA: 0s - loss: 4.0611e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.0673e-05
    152. 

  152. Epoch 9/10
    153. 

  153. 
  1/262 [..............................] - ETA: 0s - loss: 3.1245e-05
 40/262 [===>..........................] - ETA: 0s - loss: 4.4159e-05
 80/262 [========>.....................] - ETA: 0s - loss: 3.9865e-05
121/262 [============>.................] - ETA: 0s - loss: 3.9385e-05
162/262 [=================>............] - ETA: 0s - loss: 3.6747e-05
202/262 [======================>.......] - ETA: 0s - loss: 3.5388e-05
242/262 [==========================>...] - ETA: 0s - loss: 3.4450e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.3978e-05
    154. 

  154. Epoch 10/10
    155. 

  155. 
  1/262 [..............................] - ETA: 0s - loss: 1.3524e-05
 42/262 [===>..........................] - ETA: 0s - loss: 3.0399e-05
 78/262 [=======>......................] - ETA: 0s - loss: 2.9932e-05
117/262 [============>.................] - ETA: 0s - loss: 2.9222e-05
158/262 [=================>............] - ETA: 0s - loss: 2.9226e-05
199/262 [=====================>........] - ETA: 0s - loss: 3.0170e-05
239/262 [==========================>...] - ETA: 0s - loss: 2.8735e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.8021e-05
    156. 

  156. -> test with GAN.predict
    157. 

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

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

  159. GAN f1 score: 1.000
    160. 

  160. GAN cohens kappa score: 1.000
    161. 

  161. 

  162. -> test with 'LR'
    163. 

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

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

  165. LR f1 score: 1.000
    166. 

  166. LR cohens kappa score: 1.000
    167. 

  167. LR average precision score: 1.000
    168. 

  168. 

  169. -> test with 'RF'
    170. 

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

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

  172. RF f1 score: 1.000
    173. 

  173. RF cohens kappa score: 1.000
    174. 

  174. 

  175. -> test with 'GB'
    176. 

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

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

  178. GB f1 score: 1.000
    179. 

  179. GB cohens kappa score: 1.000
    180. 

  180. 

  181. -> test with 'KNN'
    182. 

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

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

  184. KNN f1 score: 1.000
    185. 

  185. KNN cohens kappa score: 1.000
    186. 

  186. 

  187. 

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

  189. -> Reset the GAN
    190. 

  190. -> Train generator for synthetic samples
    191. 

  191. -> create 2574 synthetic samples
    192. 

  192. -> retrain GAN for predict
    193. 

  193. Epoch 1/10
    194. 

  194. 
  1/262 [..............................] - ETA: 46s - loss: 4.3901e-04
 42/262 [===>..........................] - ETA: 0s - loss: 3.5200e-04 
 80/262 [========>.....................] - ETA: 0s - loss: 3.2416e-04
121/262 [============>.................] - ETA: 0s - loss: 3.3751e-04
162/262 [=================>............] - ETA: 0s - loss: 3.4616e-04
203/262 [======================>.......] - ETA: 0s - loss: 3.5076e-04
240/262 [==========================>...] - ETA: 0s - loss: 3.5256e-04
262/262 [==============================] - 1s 1ms/step - loss: 3.5695e-04
    195. 

  195. Epoch 2/10
    196. 

  196. 
  1/262 [..............................] - ETA: 0s - loss: 7.9669e-05
 36/262 [===>..........................] - ETA: 0s - loss: 3.4328e-04
 71/262 [=======>......................] - ETA: 0s - loss: 2.7644e-04
110/262 [===========>..................] - ETA: 0s - loss: 2.7944e-04
149/262 [================>.............] - ETA: 0s - loss: 2.9703e-04
188/262 [====================>.........] - ETA: 0s - loss: 2.9712e-04
229/262 [=========================>....] - ETA: 0s - loss: 2.8577e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.7780e-04
    197. 

  197. Epoch 3/10
    198. 

  198. 
  1/262 [..............................] - ETA: 0s - loss: 8.4693e-05
 38/262 [===>..........................] - ETA: 0s - loss: 2.6499e-04
 74/262 [=======>......................] - ETA: 0s - loss: 2.2105e-04
115/262 [============>.................] - ETA: 0s - loss: 2.2629e-04
156/262 [================>.............] - ETA: 0s - loss: 2.1638e-04
196/262 [=====================>........] - ETA: 0s - loss: 2.1114e-04
236/262 [==========================>...] - ETA: 0s - loss: 2.0711e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.1370e-04
    199. 

  199. Epoch 4/10
    200. 

  200. 
  1/262 [..............................] - ETA: 0s - loss: 2.9845e-04
 43/262 [===>..........................] - ETA: 0s - loss: 1.4906e-04
 83/262 [========>.....................] - ETA: 0s - loss: 1.8433e-04
124/262 [=============>................] - ETA: 0s - loss: 1.7743e-04
161/262 [=================>............] - ETA: 0s - loss: 1.8196e-04
200/262 [=====================>........] - ETA: 0s - loss: 1.7984e-04
242/262 [==========================>...] - ETA: 0s - loss: 1.7352e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.7091e-04
    201. 

  201. Epoch 5/10
    202. 

  202. 
  1/262 [..............................] - ETA: 0s - loss: 2.8698e-04
 43/262 [===>..........................] - ETA: 0s - loss: 1.1896e-04
 84/262 [========>.....................] - ETA: 0s - loss: 1.3391e-04
123/262 [=============>................] - ETA: 0s - loss: 1.4582e-04
163/262 [=================>............] - ETA: 0s - loss: 1.4330e-04
204/262 [======================>.......] - ETA: 0s - loss: 1.3654e-04
242/262 [==========================>...] - ETA: 0s - loss: 1.4236e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.3795e-04
    203. 

  203. Epoch 6/10
    204. 

  204. 
  1/262 [..............................] - ETA: 0s - loss: 6.8499e-05
 42/262 [===>..........................] - ETA: 0s - loss: 1.1840e-04
 82/262 [========>.....................] - ETA: 0s - loss: 1.1228e-04
122/262 [============>.................] - ETA: 0s - loss: 1.0566e-04
162/262 [=================>............] - ETA: 0s - loss: 1.0785e-04
202/262 [======================>.......] - ETA: 0s - loss: 1.0769e-04
240/262 [==========================>...] - ETA: 0s - loss: 1.0384e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0276e-04
    205. 

  205. Epoch 7/10
    206. 

  206. 
  1/262 [..............................] - ETA: 0s - loss: 2.8628e-05
 43/262 [===>..........................] - ETA: 0s - loss: 7.2901e-05
 85/262 [========>.....................] - ETA: 0s - loss: 9.7631e-05
127/262 [=============>................] - ETA: 0s - loss: 8.7787e-05
164/262 [=================>............] - ETA: 0s - loss: 8.6013e-05
203/262 [======================>.......] - ETA: 0s - loss: 8.3505e-05
244/262 [==========================>...] - ETA: 0s - loss: 7.9507e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.8160e-05
    207. 

  207. Epoch 8/10
    208. 

  208. 
  1/262 [..............................] - ETA: 0s - loss: 5.5292e-05
 39/262 [===>..........................] - ETA: 0s - loss: 6.7644e-05
 77/262 [=======>......................] - ETA: 0s - loss: 6.0150e-05
111/262 [===========>..................] - ETA: 0s - loss: 6.7776e-05
145/262 [===============>..............] - ETA: 0s - loss: 6.7998e-05
179/262 [===================>..........] - ETA: 0s - loss: 6.8105e-05
218/262 [=======================>......] - ETA: 0s - loss: 6.6569e-05
257/262 [============================>.] - ETA: 0s - loss: 6.3506e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.3014e-05
    209. 

  209. Epoch 9/10
    210. 

  210. 
  1/262 [..............................] - ETA: 0s - loss: 3.0853e-05
 39/262 [===>..........................] - ETA: 0s - loss: 6.3435e-05
 79/262 [========>.....................] - ETA: 0s - loss: 6.0124e-05
120/262 [============>.................] - ETA: 0s - loss: 5.9087e-05
161/262 [=================>............] - ETA: 0s - loss: 5.2160e-05
202/262 [======================>.......] - ETA: 0s - loss: 5.0203e-05
241/262 [==========================>...] - ETA: 0s - loss: 4.8635e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.0573e-05
    211. 

  211. Epoch 10/10
    212. 

  212. 
  1/262 [..............................] - ETA: 0s - loss: 4.0599e-06
 41/262 [===>..........................] - ETA: 0s - loss: 4.4832e-05
 82/262 [========>.....................] - ETA: 0s - loss: 4.5720e-05
122/262 [============>.................] - ETA: 0s - loss: 4.0654e-05
161/262 [=================>............] - ETA: 0s - loss: 4.7120e-05
199/262 [=====================>........] - ETA: 0s - loss: 4.5147e-05
239/262 [==========================>...] - ETA: 0s - loss: 4.4155e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.2779e-05
    213. 

  213. -> test with GAN.predict
    214. 

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

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

  216. GAN f1 score: 1.000
    217. 

  217. GAN cohens kappa score: 1.000
    218. 

  218. 

  219. -> test with 'LR'
    220. 

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

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

  222. LR f1 score: 1.000
    223. 

  223. LR cohens kappa score: 1.000
    224. 

  224. LR average precision score: 1.000
    225. 

  225. 

  226. -> test with 'RF'
    227. 

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

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

  229. RF f1 score: 1.000
    230. 

  230. RF cohens kappa score: 1.000
    231. 

  231. 

  232. -> test with 'GB'
    233. 

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

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

  235. GB f1 score: 1.000
    236. 

  236. GB cohens kappa score: 1.000
    237. 

  237. 

  238. -> test with 'KNN'
    239. 

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

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

  241. KNN f1 score: 0.909
    242. 

  242. KNN cohens kappa score: 0.908
    243. 

  243. 

  244. 

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

  246. -> Reset the GAN
    247. 

  247. -> Train generator for synthetic samples
    248. 

  248. -> create 2576 synthetic samples
    249. 

  249. -> retrain GAN for predict
    250. 

  250. Epoch 1/10
    251. 

  251. 
  1/262 [..............................] - ETA: 41s - loss: 0.0149
 42/262 [===>..........................] - ETA: 0s - loss: 0.0076 
 83/262 [========>.....................] - ETA: 0s - loss: 0.0069
123/262 [=============>................] - ETA: 0s - loss: 0.0067
162/262 [=================>............] - ETA: 0s - loss: 0.0070
202/262 [======================>.......] - ETA: 0s - loss: 0.0068
241/262 [==========================>...] - ETA: 0s - loss: 0.0064
262/262 [==============================] - 0s 1ms/step - loss: 0.0062
    252. 

  252. Epoch 2/10
    253. 

  253. 
  1/262 [..............................] - ETA: 0s - loss: 3.8035e-04
 37/262 [===>..........................] - ETA: 0s - loss: 0.0060    
 78/262 [=======>......................] - ETA: 0s - loss: 0.0061
114/262 [============>.................] - ETA: 0s - loss: 0.0053
153/262 [================>.............] - ETA: 0s - loss: 0.0048
193/262 [=====================>........] - ETA: 0s - loss: 0.0047
234/262 [=========================>....] - ETA: 0s - loss: 0.0045
262/262 [==============================] - 0s 1ms/step - loss: 0.0061
    254. 

  254. Epoch 3/10
    255. 

  255. 
  1/262 [..............................] - ETA: 0s - loss: 0.0062
 39/262 [===>..........................] - ETA: 0s - loss: 0.0042
 79/262 [========>.....................] - ETA: 0s - loss: 0.0039
119/262 [============>.................] - ETA: 0s - loss: 0.0037
160/262 [=================>............] - ETA: 0s - loss: 0.0035
197/262 [=====================>........] - ETA: 0s - loss: 0.0036
234/262 [=========================>....] - ETA: 0s - loss: 0.0035
262/262 [==============================] - 0s 1ms/step - loss: 0.0034
    256. 

  256. Epoch 4/10
    257. 

  257. 
  1/262 [..............................] - ETA: 0s - loss: 1.2445e-04
 39/262 [===>..........................] - ETA: 0s - loss: 0.0024    
 76/262 [=======>......................] - ETA: 0s - loss: 0.0021
116/262 [============>.................] - ETA: 0s - loss: 0.0025
156/262 [================>.............] - ETA: 0s - loss: 0.0024
188/262 [====================>.........] - ETA: 0s - loss: 0.0024
220/262 [========================>.....] - ETA: 0s - loss: 0.0025
251/262 [===========================>..] - ETA: 0s - loss: 0.0024
262/262 [==============================] - 0s 1ms/step - loss: 0.0025
    258. 

  258. Epoch 5/10
    259. 

  259. 
  1/262 [..............................] - ETA: 0s - loss: 0.0034
 41/262 [===>..........................] - ETA: 0s - loss: 0.0023
 82/262 [========>.....................] - ETA: 0s - loss: 0.0021
121/262 [============>.................] - ETA: 0s - loss: 0.0021
157/262 [================>.............] - ETA: 0s - loss: 0.0018
198/262 [=====================>........] - ETA: 0s - loss: 0.0019
234/262 [=========================>....] - ETA: 0s - loss: 0.0019
262/262 [==============================] - 0s 1ms/step - loss: 0.0018
    260. 

  260. Epoch 6/10
    261. 

  261. 
  1/262 [..............................] - ETA: 0s - loss: 1.2528e-05
 41/262 [===>..........................] - ETA: 0s - loss: 0.0011    
 82/262 [========>.....................] - ETA: 0s - loss: 0.0014
121/262 [============>.................] - ETA: 0s - loss: 0.0013
162/262 [=================>............] - ETA: 0s - loss: 0.0014
203/262 [======================>.......] - ETA: 0s - loss: 0.0014
245/262 [===========================>..] - ETA: 0s - loss: 0.0014
262/262 [==============================] - 0s 1ms/step - loss: 0.0014
    262. 

  262. Epoch 7/10
    263. 

  263. 
  1/262 [..............................] - ETA: 0s - loss: 4.6212e-05
 42/262 [===>..........................] - ETA: 0s - loss: 0.0014    
 83/262 [========>.....................] - ETA: 0s - loss: 0.0011
123/262 [=============>................] - ETA: 0s - loss: 0.0010
163/262 [=================>............] - ETA: 0s - loss: 0.0011
204/262 [======================>.......] - ETA: 0s - loss: 0.0010
242/262 [==========================>...] - ETA: 0s - loss: 0.0010
262/262 [==============================] - 0s 1ms/step - loss: 0.0010
    264. 

  264. Epoch 8/10
    265. 

  265. 
  1/262 [..............................] - ETA: 0s - loss: 4.7440e-06
 41/262 [===>..........................] - ETA: 0s - loss: 0.0010    
 80/262 [========>.....................] - ETA: 0s - loss: 0.0010
118/262 [============>.................] - ETA: 0s - loss: 9.9497e-04
158/262 [=================>............] - ETA: 0s - loss: 8.8858e-04
199/262 [=====================>........] - ETA: 0s - loss: 0.0172    
238/262 [==========================>...] - ETA: 0s - loss: 0.0147
262/262 [==============================] - 0s 1ms/step - loss: 0.0135
    266. 

  266. Epoch 9/10
    267. 

  267. 
  1/262 [..............................] - ETA: 0s - loss: 4.1667e-05
 38/262 [===>..........................] - ETA: 0s - loss: 0.0012    
 73/262 [=======>......................] - ETA: 0s - loss: 0.0010
111/262 [===========>..................] - ETA: 0s - loss: 9.3144e-04
150/262 [================>.............] - ETA: 0s - loss: 8.8663e-04
191/262 [====================>.........] - ETA: 0s - loss: 8.7817e-04
232/262 [=========================>....] - ETA: 0s - loss: 8.8007e-04
262/262 [==============================] - 0s 1ms/step - loss: 8.8643e-04
    268. 

  268. Epoch 10/10
    269. 

  269. 
  1/262 [..............................] - ETA: 0s - loss: 0.0013
 41/262 [===>..........................] - ETA: 0s - loss: 7.0608e-04
 79/262 [========>.....................] - ETA: 0s - loss: 6.9822e-04
119/262 [============>.................] - ETA: 0s - loss: 7.0652e-04
156/262 [================>.............] - ETA: 0s - loss: 7.3719e-04
197/262 [=====================>........] - ETA: 0s - loss: 7.1586e-04
235/262 [=========================>....] - ETA: 0s - loss: 6.8045e-04
262/262 [==============================] - 0s 1ms/step - loss: 6.8234e-04
    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: 42s - loss: 0.0014
 38/262 [===>..........................] - ETA: 0s - loss: 9.1373e-04
 72/262 [=======>......................] - ETA: 0s - loss: 9.9901e-04
108/262 [===========>..................] - ETA: 0s - loss: 0.0011    
143/262 [===============>..............] - ETA: 0s - loss: 0.0011
177/262 [===================>..........] - ETA: 0s - loss: 0.0011
212/262 [=======================>......] - ETA: 0s - loss: 0.0011
247/262 [===========================>..] - ETA: 0s - loss: 0.0011
262/262 [==============================] - 1s 1ms/step - loss: 0.0011
    313. 

  313. Epoch 2/10
    314. 

  314. 
  1/262 [..............................] - ETA: 0s - loss: 1.7537e-05
 36/262 [===>..........................] - ETA: 0s - loss: 9.2668e-04
 72/262 [=======>......................] - ETA: 0s - loss: 8.3841e-04
108/262 [===========>..................] - ETA: 0s - loss: 9.4795e-04
142/262 [===============>..............] - ETA: 0s - loss: 9.4088e-04
179/262 [===================>..........] - ETA: 0s - loss: 9.0696e-04
213/262 [=======================>......] - ETA: 0s - loss: 8.7243e-04
246/262 [===========================>..] - ETA: 0s - loss: 9.1794e-04
262/262 [==============================] - 0s 1ms/step - loss: 8.9741e-04
    315. 

  315. Epoch 3/10
    316. 

  316. 
  1/262 [..............................] - ETA: 0s - loss: 1.2506e-05
 34/262 [==>...........................] - ETA: 0s - loss: 0.0011    
 62/262 [======>.......................] - ETA: 0s - loss: 7.6781e-04
 94/262 [=========>....................] - ETA: 0s - loss: 6.4644e-04
125/262 [=============>................] - ETA: 0s - loss: 6.8026e-04
157/262 [================>.............] - ETA: 0s - loss: 7.6199e-04
191/262 [====================>.........] - ETA: 0s - loss: 7.4739e-04
225/262 [========================>.....] - ETA: 0s - loss: 7.3733e-04
258/262 [============================>.] - ETA: 0s - loss: 7.4442e-04
262/262 [==============================] - 0s 2ms/step - loss: 7.3834e-04
    317. 

  317. Epoch 4/10
    318. 

  318. 
  1/262 [..............................] - ETA: 0s - loss: 7.8550e-04
 36/262 [===>..........................] - ETA: 0s - loss: 7.5804e-04
 70/262 [=======>......................] - ETA: 0s - loss: 6.9567e-04
104/262 [==========>...................] - ETA: 0s - loss: 6.8081e-04
139/262 [==============>...............] - ETA: 0s - loss: 6.1102e-04
173/262 [==================>...........] - ETA: 0s - loss: 6.0973e-04
207/262 [======================>.......] - ETA: 0s - loss: 6.1044e-04
241/262 [==========================>...] - ETA: 0s - loss: 6.1311e-04
262/262 [==============================] - 0s 1ms/step - loss: 6.0438e-04
    319. 

  319. Epoch 5/10
    320. 

  320. 
  1/262 [..............................] - ETA: 0s - loss: 6.4381e-04
 36/262 [===>..........................] - ETA: 0s - loss: 4.4393e-04
 71/262 [=======>......................] - ETA: 0s - loss: 5.1729e-04
105/262 [===========>..................] - ETA: 0s - loss: 5.3552e-04
145/262 [===============>..............] - ETA: 0s - loss: 5.2525e-04
183/262 [===================>..........] - ETA: 0s - loss: 5.2380e-04
218/262 [=======================>......] - ETA: 0s - loss: 5.1535e-04
250/262 [===========================>..] - ETA: 0s - loss: 4.9770e-04
262/262 [==============================] - 0s 1ms/step - loss: 4.9940e-04
    321. 

  321. Epoch 6/10
    322. 

  322. 
  1/262 [..............................] - ETA: 0s - loss: 5.2580e-04
 38/262 [===>..........................] - ETA: 0s - loss: 4.8170e-04
 75/262 [=======>......................] - ETA: 0s - loss: 4.5599e-04
108/262 [===========>..................] - ETA: 0s - loss: 4.1267e-04
142/262 [===============>..............] - ETA: 0s - loss: 4.4766e-04
174/262 [==================>...........] - ETA: 0s - loss: 4.1889e-04
206/262 [======================>.......] - ETA: 0s - loss: 4.1459e-04
240/262 [==========================>...] - ETA: 0s - loss: 4.2358e-04
262/262 [==============================] - 0s 1ms/step - loss: 4.1324e-04
    323. 

  323. Epoch 7/10
    324. 

  324. 
  1/262 [..............................] - ETA: 0s - loss: 5.6512e-04
 36/262 [===>..........................] - ETA: 0s - loss: 4.5072e-04
 71/262 [=======>......................] - ETA: 0s - loss: 4.3626e-04
106/262 [===========>..................] - ETA: 0s - loss: 4.1332e-04
142/262 [===============>..............] - ETA: 0s - loss: 3.7649e-04
177/262 [===================>..........] - ETA: 0s - loss: 3.6762e-04
217/262 [=======================>......] - ETA: 0s - loss: 3.5756e-04
256/262 [============================>.] - ETA: 0s - loss: 3.4439e-04
262/262 [==============================] - 0s 1ms/step - loss: 3.4485e-04
    325. 

  325. Epoch 8/10
    326. 

  326. 
  1/262 [..............................] - ETA: 0s - loss: 6.2503e-06
 34/262 [==>...........................] - ETA: 0s - loss: 3.7149e-04
 73/262 [=======>......................] - ETA: 0s - loss: 3.1017e-04
107/262 [===========>..................] - ETA: 0s - loss: 3.1163e-04
139/262 [==============>...............] - ETA: 0s - loss: 3.1467e-04
168/262 [==================>...........] - ETA: 0s - loss: 3.0237e-04
200/262 [=====================>........] - ETA: 0s - loss: 3.0281e-04
238/262 [==========================>...] - ETA: 0s - loss: 2.9894e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.8682e-04
    327. 

  327. Epoch 9/10
    328. 

  328. 
  1/262 [..............................] - ETA: 0s - loss: 5.8390e-04
 33/262 [==>...........................] - ETA: 0s - loss: 2.5226e-04
 67/262 [======>.......................] - ETA: 0s - loss: 2.7131e-04
101/262 [==========>...................] - ETA: 0s - loss: 2.7217e-04
137/262 [==============>...............] - ETA: 0s - loss: 2.6639e-04
171/262 [==================>...........] - ETA: 0s - loss: 2.5059e-04
208/262 [======================>.......] - ETA: 0s - loss: 2.4038e-04
241/262 [==========================>...] - ETA: 0s - loss: 2.3892e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.3956e-04
    329. 

  329. Epoch 10/10
    330. 

  330. 
  1/262 [..............................] - ETA: 0s - loss: 2.4386e-04
 36/262 [===>..........................] - ETA: 0s - loss: 2.3020e-04
 71/262 [=======>......................] - ETA: 0s - loss: 1.9723e-04
108/262 [===========>..................] - ETA: 0s - loss: 1.9811e-04
141/262 [===============>..............] - ETA: 0s - loss: 1.8990e-04
176/262 [===================>..........] - ETA: 0s - loss: 1.9595e-04
210/262 [=======================>......] - ETA: 0s - loss: 2.0680e-04
246/262 [===========================>..] - ETA: 0s - loss: 2.0450e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.0083e-04
    331. 

  331. -> test with GAN.predict
    332. 

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

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

  334. GAN f1 score: 1.000
    335. 

  335. GAN cohens kappa score: 1.000
    336. 

  336. 

  337. -> test with 'LR'
    338. 

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

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

  340. LR f1 score: 1.000
    341. 

  341. LR cohens kappa score: 1.000
    342. 

  342. LR average precision score: 1.000
    343. 

  343. 

  344. -> test with 'RF'
    345. 

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

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

  347. RF f1 score: 1.000
    348. 

  348. RF cohens kappa score: 1.000
    349. 

  349. 

  350. -> test with 'GB'
    351. 

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

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

  353. GB f1 score: 1.000
    354. 

  354. GB cohens kappa score: 1.000
    355. 

  355. 

  356. -> test with 'KNN'
    357. 

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

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

  359. KNN f1 score: 0.952
    360. 

  360. KNN cohens kappa score: 0.952
    361. 

  361. 

  362. 

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

  364. -> Reset the GAN
    365. 

  365. -> Train generator for synthetic samples
    366. 

  366. -> create 2574 synthetic samples
    367. 

  367. -> retrain GAN for predict
    368. 

  368. Epoch 1/10
    369. 

  369. 
  1/262 [..............................] - ETA: 39s - loss: 2.2966e-04
 41/262 [===>..........................] - ETA: 0s - loss: 2.6855e-04 
 80/262 [========>.....................] - ETA: 0s - loss: 2.5566e-04
121/262 [============>.................] - ETA: 0s - loss: 2.4922e-04
154/262 [================>.............] - ETA: 0s - loss: 2.5471e-04
188/262 [====================>.........] - ETA: 0s - loss: 2.6704e-04
222/262 [========================>.....] - ETA: 0s - loss: 2.6700e-04
260/262 [============================>.] - ETA: 0s - loss: 2.7246e-04
262/262 [==============================] - 1s 1ms/step - loss: 2.7148e-04
    370. 

  370. Epoch 2/10
    371. 

  371. 
  1/262 [..............................] - ETA: 0s - loss: 9.6394e-05
 39/262 [===>..........................] - ETA: 0s - loss: 3.1161e-04
 79/262 [========>.....................] - ETA: 0s - loss: 2.6069e-04
120/262 [============>.................] - ETA: 0s - loss: 2.2866e-04
160/262 [=================>............] - ETA: 0s - loss: 2.2200e-04
200/262 [=====================>........] - ETA: 0s - loss: 2.0715e-04
240/262 [==========================>...] - ETA: 0s - loss: 2.0884e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.1442e-04
    372. 

  372. Epoch 3/10
    373. 

  373. 
  1/262 [..............................] - ETA: 0s - loss: 7.7922e-05
 41/262 [===>..........................] - ETA: 0s - loss: 1.9939e-04
 82/262 [========>.....................] - ETA: 0s - loss: 1.7515e-04
117/262 [============>.................] - ETA: 0s - loss: 1.6288e-04
157/262 [================>.............] - ETA: 0s - loss: 1.6247e-04
196/262 [=====================>........] - ETA: 0s - loss: 1.7306e-04
236/262 [==========================>...] - ETA: 0s - loss: 1.6207e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.7226e-04
    374. 

  374. Epoch 4/10
    375. 

  375. 
  1/262 [..............................] - ETA: 0s - loss: 6.4105e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.2531e-04
 80/262 [========>.....................] - ETA: 0s - loss: 1.2653e-04
115/262 [============>.................] - ETA: 0s - loss: 1.3677e-04
149/262 [================>.............] - ETA: 0s - loss: 1.3631e-04
184/262 [====================>.........] - ETA: 0s - loss: 1.3535e-04
223/262 [========================>.....] - ETA: 0s - loss: 1.3710e-04
261/262 [============================>.] - ETA: 0s - loss: 1.3990e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.3990e-04
    376. 

  376. Epoch 5/10
    377. 

  377. 
  1/262 [..............................] - ETA: 0s - loss: 3.7999e-05
 41/262 [===>..........................] - ETA: 0s - loss: 1.1610e-04
 81/262 [========>.....................] - ETA: 0s - loss: 1.1012e-04
122/262 [============>.................] - ETA: 0s - loss: 1.0693e-04
162/262 [=================>............] - ETA: 0s - loss: 1.0414e-04
203/262 [======================>.......] - ETA: 0s - loss: 1.0552e-04
243/262 [==========================>...] - ETA: 0s - loss: 1.1170e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0913e-04
    378. 

  378. Epoch 6/10
    379. 

  379. 
  1/262 [..............................] - ETA: 0s - loss: 3.3991e-04
 42/262 [===>..........................] - ETA: 0s - loss: 8.9478e-05
 81/262 [========>.....................] - ETA: 0s - loss: 8.2018e-05
121/262 [============>.................] - ETA: 0s - loss: 8.1872e-05
162/262 [=================>............] - ETA: 0s - loss: 8.4760e-05
203/262 [======================>.......] - ETA: 0s - loss: 8.8459e-05
242/262 [==========================>...] - ETA: 0s - loss: 8.8469e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.0419e-05
    380. 

  380. Epoch 7/10
    381. 

  381. 
  1/262 [..............................] - ETA: 0s - loss: 1.0118e-04
 40/262 [===>..........................] - ETA: 0s - loss: 6.7168e-05
 79/262 [========>.....................] - ETA: 0s - loss: 6.8135e-05
120/262 [============>.................] - ETA: 0s - loss: 7.7581e-05
160/262 [=================>............] - ETA: 0s - loss: 7.7799e-05
196/262 [=====================>........] - ETA: 0s - loss: 7.6801e-05
230/262 [=========================>....] - ETA: 0s - loss: 7.6667e-05
262/262 [==============================] - ETA: 0s - loss: 7.5365e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.5365e-05
    382. 

  382. Epoch 8/10
    383. 

  383. 
  1/262 [..............................] - ETA: 0s - loss: 2.1076e-05
 33/262 [==>...........................] - ETA: 0s - loss: 4.8717e-05
 71/262 [=======>......................] - ETA: 0s - loss: 7.4268e-05
108/262 [===========>..................] - ETA: 0s - loss: 7.3939e-05
146/262 [===============>..............] - ETA: 0s - loss: 6.9571e-05
186/262 [====================>.........] - ETA: 0s - loss: 6.5065e-05
226/262 [========================>.....] - ETA: 0s - loss: 6.3965e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.2548e-05
    384. 

  384. Epoch 9/10
    385. 

  385. 
  1/262 [..............................] - ETA: 0s - loss: 2.1256e-04
 38/262 [===>..........................] - ETA: 0s - loss: 4.4073e-05
 77/262 [=======>......................] - ETA: 0s - loss: 4.8828e-05
117/262 [============>.................] - ETA: 0s - loss: 5.4370e-05
158/262 [=================>............] - ETA: 0s - loss: 5.4253e-05
197/262 [=====================>........] - ETA: 0s - loss: 5.2591e-05
237/262 [==========================>...] - ETA: 0s - loss: 5.0613e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.2566e-05
    386. 

  386. Epoch 10/10
    387. 

  387. 
  1/262 [..............................] - ETA: 0s - loss: 5.9337e-06
 42/262 [===>..........................] - ETA: 0s - loss: 6.5555e-05
 83/262 [========>.....................] - ETA: 0s - loss: 4.8667e-05
121/262 [============>.................] - ETA: 0s - loss: 5.0456e-05
160/262 [=================>............] - ETA: 0s - loss: 5.4520e-05
200/262 [=====================>........] - ETA: 0s - loss: 4.9897e-05
241/262 [==========================>...] - ETA: 0s - loss: 4.5713e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.3615e-05
    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: 1:29 - loss: 3.1513e-04
 41/262 [===>..........................] - ETA: 0s - loss: 1.4672e-04  
 80/262 [========>.....................] - ETA: 0s - loss: 1.4364e-04
118/262 [============>.................] - ETA: 0s - loss: 1.4368e-04
155/262 [================>.............] - ETA: 0s - loss: 1.3973e-04
189/262 [====================>.........] - ETA: 0s - loss: 1.3534e-04
225/262 [========================>.....] - ETA: 0s - loss: 1.3471e-04
259/262 [============================>.] - ETA: 0s - loss: 1.3423e-04
262/262 [==============================] - 1s 1ms/step - loss: 1.3418e-04
    427. 

  427. Epoch 2/10
    428. 

  428. 
  1/262 [..............................] - ETA: 0s - loss: 6.1720e-05
 38/262 [===>..........................] - ETA: 0s - loss: 1.2757e-04
 78/262 [=======>......................] - ETA: 0s - loss: 1.0786e-04
118/262 [============>.................] - ETA: 0s - loss: 9.9893e-05
157/262 [================>.............] - ETA: 0s - loss: 9.9553e-05
197/262 [=====================>........] - ETA: 0s - loss: 1.0697e-04
236/262 [==========================>...] - ETA: 0s - loss: 1.0450e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0225e-04
    429. 

  429. Epoch 3/10
    430. 

  430. 
  1/262 [..............................] - ETA: 0s - loss: 8.9180e-05
 34/262 [==>...........................] - ETA: 0s - loss: 7.0193e-05
 67/262 [======>.......................] - ETA: 0s - loss: 8.8448e-05
106/262 [===========>..................] - ETA: 0s - loss: 8.5991e-05
146/262 [===============>..............] - ETA: 0s - loss: 8.1667e-05
188/262 [====================>.........] - ETA: 0s - loss: 8.3552e-05
229/262 [=========================>....] - ETA: 0s - loss: 8.2970e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.0556e-05
    431. 

  431. Epoch 4/10
    432. 

  432. 
  1/262 [..............................] - ETA: 0s - loss: 8.3611e-05
 40/262 [===>..........................] - ETA: 0s - loss: 6.4954e-05
 81/262 [========>.....................] - ETA: 0s - loss: 5.8909e-05
119/262 [============>.................] - ETA: 0s - loss: 5.7325e-05
159/262 [=================>............] - ETA: 0s - loss: 5.7385e-05
199/262 [=====================>........] - ETA: 0s - loss: 6.2946e-05
240/262 [==========================>...] - ETA: 0s - loss: 6.0485e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.3387e-05
    433. 

  433. Epoch 5/10
    434. 

  434. 
  1/262 [..............................] - ETA: 0s - loss: 8.8726e-06
 41/262 [===>..........................] - ETA: 0s - loss: 6.2806e-05
 81/262 [========>.....................] - ETA: 0s - loss: 6.2707e-05
118/262 [============>.................] - ETA: 0s - loss: 5.8164e-05
154/262 [================>.............] - ETA: 0s - loss: 5.3679e-05
191/262 [====================>.........] - ETA: 0s - loss: 5.1084e-05
228/262 [=========================>....] - ETA: 0s - loss: 5.0756e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.0876e-05
    435. 

  435. Epoch 6/10
    436. 

  436. 
  1/262 [..............................] - ETA: 0s - loss: 9.9650e-06
 41/262 [===>..........................] - ETA: 0s - loss: 5.3629e-05
 78/262 [=======>......................] - ETA: 0s - loss: 5.5379e-05
117/262 [============>.................] - ETA: 0s - loss: 4.6841e-05
156/262 [================>.............] - ETA: 0s - loss: 4.7143e-05
195/262 [=====================>........] - ETA: 0s - loss: 4.4474e-05
233/262 [=========================>....] - ETA: 0s - loss: 4.2484e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.1451e-05
    437. 

  437. Epoch 7/10
    438. 

  438. 
  1/262 [..............................] - ETA: 0s - loss: 1.5459e-05
 40/262 [===>..........................] - ETA: 0s - loss: 3.5294e-05
 78/262 [=======>......................] - ETA: 0s - loss: 3.8551e-05
117/262 [============>.................] - ETA: 0s - loss: 3.5783e-05
156/262 [================>.............] - ETA: 0s - loss: 3.2927e-05
196/262 [=====================>........] - ETA: 0s - loss: 3.2376e-05
235/262 [=========================>....] - ETA: 0s - loss: 3.4251e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.4180e-05
    439. 

  439. Epoch 8/10
    440. 

  440. 
  1/262 [..............................] - ETA: 0s - loss: 2.8816e-05
 41/262 [===>..........................] - ETA: 0s - loss: 2.0527e-05
 79/262 [========>.....................] - ETA: 0s - loss: 2.1858e-05
119/262 [============>.................] - ETA: 0s - loss: 3.0235e-05
158/262 [=================>............] - ETA: 0s - loss: 2.7866e-05
197/262 [=====================>........] - ETA: 0s - loss: 2.8000e-05
235/262 [=========================>....] - ETA: 0s - loss: 2.7837e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.8020e-05
    441. 

  441. Epoch 9/10
    442. 

  442. 
  1/262 [..............................] - ETA: 0s - loss: 3.2400e-06
 39/262 [===>..........................] - ETA: 0s - loss: 2.9857e-05
 72/262 [=======>......................] - ETA: 0s - loss: 2.7569e-05
104/262 [==========>...................] - ETA: 0s - loss: 2.8098e-05
138/262 [==============>...............] - ETA: 0s - loss: 2.6371e-05
177/262 [===================>..........] - ETA: 0s - loss: 2.6471e-05
217/262 [=======================>......] - ETA: 0s - loss: 2.5102e-05
256/262 [============================>.] - ETA: 0s - loss: 2.3708e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.3535e-05
    443. 

  443. Epoch 10/10
    444. 

  444. 
  1/262 [..............................] - ETA: 0s - loss: 3.3222e-05
 41/262 [===>..........................] - ETA: 0s - loss: 2.2222e-05
 81/262 [========>.....................] - ETA: 0s - loss: 2.0932e-05
119/262 [============>.................] - ETA: 0s - loss: 2.0004e-05
156/262 [================>.............] - ETA: 0s - loss: 2.2932e-05
196/262 [=====================>........] - ETA: 0s - loss: 2.1331e-05
235/262 [=========================>....] - ETA: 0s - loss: 2.0640e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.9774e-05
    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: 0, 10
    473. 

  473. KNN f1 score: 0.909
    474. 

  474. KNN cohens kappa score: 0.908
    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: 1:00 - loss: 5.5053e-05
 33/262 [==>...........................] - ETA: 0s - loss: 1.5677e-04  
 68/262 [======>.......................] - ETA: 0s - loss: 1.6216e-04
102/262 [==========>...................] - ETA: 0s - loss: 1.6607e-04
134/262 [==============>...............] - ETA: 0s - loss: 1.6016e-04
168/262 [==================>...........] - ETA: 0s - loss: 1.6763e-04
207/262 [======================>.......] - ETA: 0s - loss: 1.6250e-04
240/262 [==========================>...] - ETA: 0s - loss: 1.6238e-04
262/262 [==============================] - 1s 1ms/step - loss: 1.5940e-04
    484. 

  484. Epoch 2/10
    485. 

  485. 
  1/262 [..............................] - ETA: 0s - loss: 2.2459e-04
 37/262 [===>..........................] - ETA: 0s - loss: 1.5860e-04
 72/262 [=======>......................] - ETA: 0s - loss: 1.4526e-04
107/262 [===========>..................] - ETA: 0s - loss: 1.2759e-04
139/262 [==============>...............] - ETA: 0s - loss: 1.2269e-04
173/262 [==================>...........] - ETA: 0s - loss: 1.2220e-04
205/262 [======================>.......] - ETA: 0s - loss: 1.2211e-04
241/262 [==========================>...] - ETA: 0s - loss: 1.2122e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2538e-04
    486. 

  486. Epoch 3/10
    487. 

  487. 
  1/262 [..............................] - ETA: 0s - loss: 7.6510e-05
 33/262 [==>...........................] - ETA: 0s - loss: 1.2111e-04
 69/262 [======>.......................] - ETA: 0s - loss: 1.2327e-04
107/262 [===========>..................] - ETA: 0s - loss: 1.1451e-04
141/262 [===============>..............] - ETA: 0s - loss: 1.1047e-04
181/262 [===================>..........] - ETA: 0s - loss: 1.0704e-04
215/262 [=======================>......] - ETA: 0s - loss: 1.0330e-04
252/262 [===========================>..] - ETA: 0s - loss: 1.0116e-04
262/262 [==============================] - 0s 1ms/step - loss: 9.9897e-05
    488. 

  488. Epoch 4/10
    489. 

  489. 
  1/262 [..............................] - ETA: 0s - loss: 6.0327e-05
 40/262 [===>..........................] - ETA: 0s - loss: 7.5533e-05
 80/262 [========>.....................] - ETA: 0s - loss: 7.3751e-05
120/262 [============>.................] - ETA: 0s - loss: 8.2262e-05
158/262 [=================>............] - ETA: 0s - loss: 8.0638e-05
195/262 [=====================>........] - ETA: 0s - loss: 7.6094e-05
233/262 [=========================>....] - ETA: 0s - loss: 7.8227e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.0104e-05
    490. 

  490. Epoch 5/10
    491. 

  491. 
  1/262 [..............................] - ETA: 0s - loss: 5.9716e-05
 40/262 [===>..........................] - ETA: 0s - loss: 4.9215e-05
 80/262 [========>.....................] - ETA: 0s - loss: 5.5555e-05
116/262 [============>.................] - ETA: 0s - loss: 6.3457e-05
152/262 [================>.............] - ETA: 0s - loss: 7.0495e-05
188/262 [====================>.........] - ETA: 0s - loss: 6.6768e-05
225/262 [========================>.....] - ETA: 0s - loss: 6.6709e-05
259/262 [============================>.] - ETA: 0s - loss: 6.5733e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.6354e-05
    492. 

  492. Epoch 6/10
    493. 

  493. 
  1/262 [..............................] - ETA: 0s - loss: 5.4063e-05
 34/262 [==>...........................] - ETA: 0s - loss: 5.1196e-05
 68/262 [======>.......................] - ETA: 0s - loss: 5.5445e-05
107/262 [===========>..................] - ETA: 0s - loss: 6.2974e-05
146/262 [===============>..............] - ETA: 0s - loss: 5.6067e-05
186/262 [====================>.........] - ETA: 0s - loss: 5.4488e-05
226/262 [========================>.....] - ETA: 0s - loss: 5.5087e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.2888e-05
    494. 

  494. Epoch 7/10
    495. 

  495. 
  1/262 [..............................] - ETA: 0s - loss: 1.6041e-05
 39/262 [===>..........................] - ETA: 0s - loss: 4.3290e-05
 79/262 [========>.....................] - ETA: 0s - loss: 4.4496e-05
119/262 [============>.................] - ETA: 0s - loss: 4.3104e-05
158/262 [=================>............] - ETA: 0s - loss: 4.4866e-05
195/262 [=====================>........] - ETA: 0s - loss: 4.1728e-05
233/262 [=========================>....] - ETA: 0s - loss: 4.2853e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.3594e-05
    496. 

  496. Epoch 8/10
    497. 

  497. 
  1/262 [..............................] - ETA: 0s - loss: 7.0403e-05
 39/262 [===>..........................] - ETA: 0s - loss: 3.4635e-05
 73/262 [=======>......................] - ETA: 0s - loss: 3.0243e-05
111/262 [===========>..................] - ETA: 0s - loss: 3.2858e-05
150/262 [================>.............] - ETA: 0s - loss: 3.6369e-05
188/262 [====================>.........] - ETA: 0s - loss: 3.6472e-05
226/262 [========================>.....] - ETA: 0s - loss: 3.6562e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.5615e-05
    498. 

  498. Epoch 9/10
    499. 

  499. 
  1/262 [..............................] - ETA: 0s - loss: 1.5709e-05
 40/262 [===>..........................] - ETA: 0s - loss: 3.6594e-05
 80/262 [========>.....................] - ETA: 0s - loss: 3.6577e-05
120/262 [============>.................] - ETA: 0s - loss: 3.2417e-05
161/262 [=================>............] - ETA: 0s - loss: 3.0216e-05
201/262 [======================>.......] - ETA: 0s - loss: 2.8199e-05
241/262 [==========================>...] - ETA: 0s - loss: 2.7992e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.6859e-05
    500. 

  500. Epoch 10/10
    501. 

  501. 
  1/262 [..............................] - ETA: 0s - loss: 6.1661e-06
 40/262 [===>..........................] - ETA: 0s - loss: 2.4366e-05
 79/262 [========>.....................] - ETA: 0s - loss: 2.5786e-05
118/262 [============>.................] - ETA: 0s - loss: 2.4057e-05
158/262 [=================>............] - ETA: 0s - loss: 2.3281e-05
196/262 [=====================>........] - ETA: 0s - loss: 2.4992e-05
235/262 [=========================>....] - ETA: 0s - loss: 2.3540e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.2553e-05
    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: 52s - loss: 1.6760e-04
 41/262 [===>..........................] - ETA: 0s - loss: 2.9916e-04 
 81/262 [========>.....................] - ETA: 0s - loss: 2.4875e-04
124/262 [=============>................] - ETA: 0s - loss: 2.3902e-04
162/262 [=================>............] - ETA: 0s - loss: 2.4617e-04
202/262 [======================>.......] - ETA: 0s - loss: 2.4671e-04
242/262 [==========================>...] - ETA: 0s - loss: 2.2799e-04
262/262 [==============================] - 1s 1ms/step - loss: 2.2152e-04
    541. 

  541. Epoch 2/10
    542. 

  542. 
  1/262 [..............................] - ETA: 0s - loss: 1.4794e-04
 40/262 [===>..........................] - ETA: 0s - loss: 3.5915e-04
 81/262 [========>.....................] - ETA: 0s - loss: 2.5752e-04
118/262 [============>.................] - ETA: 0s - loss: 2.2322e-04
159/262 [=================>............] - ETA: 0s - loss: 2.0796e-04
199/262 [=====================>........] - ETA: 0s - loss: 1.8213e-04
238/262 [==========================>...] - ETA: 0s - loss: 1.7896e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.7299e-04
    543. 

  543. Epoch 3/10
    544. 

  544. 
  1/262 [..............................] - ETA: 0s - loss: 6.1068e-05
 41/262 [===>..........................] - ETA: 0s - loss: 1.5142e-04
 79/262 [========>.....................] - ETA: 0s - loss: 1.4115e-04
118/262 [============>.................] - ETA: 0s - loss: 1.4499e-04
157/262 [================>.............] - ETA: 0s - loss: 1.4499e-04
195/262 [=====================>........] - ETA: 0s - loss: 1.3924e-04
232/262 [=========================>....] - ETA: 0s - loss: 1.3081e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2686e-04
    545. 

  545. Epoch 4/10
    546. 

  546. 
  1/262 [..............................] - ETA: 0s - loss: 5.1173e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.2907e-04
 75/262 [=======>......................] - ETA: 0s - loss: 1.1094e-04
111/262 [===========>..................] - ETA: 0s - loss: 1.0639e-04
149/262 [================>.............] - ETA: 0s - loss: 9.3065e-05
186/262 [====================>.........] - ETA: 0s - loss: 8.9485e-05
225/262 [========================>.....] - ETA: 0s - loss: 8.8646e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.8835e-05
    547. 

  547. Epoch 5/10
    548. 

  548. 
  1/262 [..............................] - ETA: 0s - loss: 3.3848e-05
 41/262 [===>..........................] - ETA: 0s - loss: 5.3170e-05
 81/262 [========>.....................] - ETA: 0s - loss: 5.6917e-05
120/262 [============>.................] - ETA: 0s - loss: 5.7906e-05
160/262 [=================>............] - ETA: 0s - loss: 6.0963e-05
198/262 [=====================>........] - ETA: 0s - loss: 6.3990e-05
237/262 [==========================>...] - ETA: 0s - loss: 6.0093e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.5766e-05
    549. 

  549. Epoch 6/10
    550. 

  550. 
  1/262 [..............................] - ETA: 0s - loss: 2.9329e-05
 39/262 [===>..........................] - ETA: 0s - loss: 5.9055e-05
 78/262 [=======>......................] - ETA: 0s - loss: 6.2804e-05
117/262 [============>.................] - ETA: 0s - loss: 5.6009e-05
152/262 [================>.............] - ETA: 0s - loss: 5.6016e-05
187/262 [====================>.........] - ETA: 0s - loss: 5.3049e-05
219/262 [========================>.....] - ETA: 0s - loss: 5.2028e-05
253/262 [===========================>..] - ETA: 0s - loss: 4.9728e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.9788e-05
    551. 

  551. Epoch 7/10
    552. 

  552. 
  1/262 [..............................] - ETA: 0s - loss: 1.0723e-05
 38/262 [===>..........................] - ETA: 0s - loss: 3.9985e-05
 78/262 [=======>......................] - ETA: 0s - loss: 4.3839e-05
117/262 [============>.................] - ETA: 0s - loss: 3.8237e-05
154/262 [================>.............] - ETA: 0s - loss: 3.8635e-05
191/262 [====================>.........] - ETA: 0s - loss: 3.7536e-05
230/262 [=========================>....] - ETA: 0s - loss: 3.9603e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.9846e-05
    553. 

  553. Epoch 8/10
    554. 

  554. 
  1/262 [..............................] - ETA: 0s - loss: 4.4380e-05
 40/262 [===>..........................] - ETA: 0s - loss: 3.8926e-05
 80/262 [========>.....................] - ETA: 0s - loss: 3.6225e-05
120/262 [============>.................] - ETA: 0s - loss: 3.5137e-05
159/262 [=================>............] - ETA: 0s - loss: 3.4926e-05
197/262 [=====================>........] - ETA: 0s - loss: 3.4005e-05
236/262 [==========================>...] - ETA: 0s - loss: 3.3660e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.2232e-05
    555. 

  555. Epoch 9/10
    556. 

  556. 
  1/262 [..............................] - ETA: 0s - loss: 4.2744e-05
 37/262 [===>..........................] - ETA: 0s - loss: 2.2928e-05
 73/262 [=======>......................] - ETA: 0s - loss: 2.5615e-05
109/262 [===========>..................] - ETA: 0s - loss: 2.7211e-05
149/262 [================>.............] - ETA: 0s - loss: 2.7346e-05
182/262 [===================>..........] - ETA: 0s - loss: 2.8656e-05
218/262 [=======================>......] - ETA: 0s - loss: 2.8157e-05
249/262 [===========================>..] - ETA: 0s - loss: 2.6574e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.6059e-05
    557. 

  557. Epoch 10/10
    558. 

  558. 
  1/262 [..............................] - ETA: 0s - loss: 6.4977e-06
 38/262 [===>..........................] - ETA: 0s - loss: 2.5835e-05
 77/262 [=======>......................] - ETA: 0s - loss: 2.6375e-05
116/262 [============>.................] - ETA: 0s - loss: 2.4174e-05
154/262 [================>.............] - ETA: 0s - loss: 2.2952e-05
193/262 [=====================>........] - ETA: 0s - loss: 2.0714e-05
232/262 [=========================>....] - ETA: 0s - loss: 2.0532e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.1046e-05
    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: 650, 1
    586. 

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

  587. KNN f1 score: 0.947
    588. 

  588. KNN cohens kappa score: 0.947
    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: 41s - loss: 4.2057e-04
 44/262 [====>.........................] - ETA: 0s - loss: 2.3702e-04 
 82/262 [========>.....................] - ETA: 0s - loss: 2.6745e-04
123/262 [=============>................] - ETA: 0s - loss: 2.4238e-04
162/262 [=================>............] - ETA: 0s - loss: 2.3631e-04
203/262 [======================>.......] - ETA: 0s - loss: 2.4346e-04
240/262 [==========================>...] - ETA: 0s - loss: 2.3525e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.3117e-04
    602. 

  602. Epoch 2/10
    603. 

  603. 
  1/262 [..............................] - ETA: 0s - loss: 1.3751e-04
 39/262 [===>..........................] - ETA: 0s - loss: 1.5487e-04
 77/262 [=======>......................] - ETA: 0s - loss: 1.7267e-04
113/262 [===========>..................] - ETA: 0s - loss: 1.6322e-04
151/262 [================>.............] - ETA: 0s - loss: 1.5353e-04
191/262 [====================>.........] - ETA: 0s - loss: 1.5824e-04
230/262 [=========================>....] - ETA: 0s - loss: 1.5918e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.5978e-04
    604. 

  604. Epoch 3/10
    605. 

  605. 
  1/262 [..............................] - ETA: 0s - loss: 5.6715e-05
 42/262 [===>..........................] - ETA: 0s - loss: 1.3401e-04
 76/262 [=======>......................] - ETA: 0s - loss: 1.1245e-04
115/262 [============>.................] - ETA: 0s - loss: 9.9845e-05
154/262 [================>.............] - ETA: 0s - loss: 1.1167e-04
194/262 [=====================>........] - ETA: 0s - loss: 1.1677e-04
232/262 [=========================>....] - ETA: 0s - loss: 1.1960e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.1966e-04
    606. 

  606. Epoch 4/10
    607. 

  607. 
  1/262 [..............................] - ETA: 0s - loss: 2.7846e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.0894e-04
 79/262 [========>.....................] - ETA: 0s - loss: 1.1467e-04
118/262 [============>.................] - ETA: 0s - loss: 1.0604e-04
157/262 [================>.............] - ETA: 0s - loss: 1.0271e-04
196/262 [=====================>........] - ETA: 0s - loss: 9.8286e-05
236/262 [==========================>...] - ETA: 0s - loss: 9.3082e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.6408e-05
    608. 

  608. Epoch 5/10
    609. 

  609. 
  1/262 [..............................] - ETA: 0s - loss: 3.3770e-05
 42/262 [===>..........................] - ETA: 0s - loss: 7.2591e-05
 81/262 [========>.....................] - ETA: 0s - loss: 7.0885e-05
121/262 [============>.................] - ETA: 0s - loss: 7.5673e-05
162/262 [=================>............] - ETA: 0s - loss: 7.4942e-05
201/262 [======================>.......] - ETA: 0s - loss: 7.6444e-05
240/262 [==========================>...] - ETA: 0s - loss: 7.8488e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.5750e-05
    610. 

  610. Epoch 6/10
    611. 

  611. 
  1/262 [..............................] - ETA: 0s - loss: 3.7376e-05
 42/262 [===>..........................] - ETA: 0s - loss: 9.4838e-05
 81/262 [========>.....................] - ETA: 0s - loss: 8.1734e-05
114/262 [============>.................] - ETA: 0s - loss: 6.9809e-05
146/262 [===============>..............] - ETA: 0s - loss: 6.5862e-05
176/262 [===================>..........] - ETA: 0s - loss: 6.4913e-05
213/262 [=======================>......] - ETA: 0s - loss: 6.2143e-05
253/262 [===========================>..] - ETA: 0s - loss: 6.2932e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.2107e-05
    612. 

  612. Epoch 7/10
    613. 

  613. 
  1/262 [..............................] - ETA: 0s - loss: 2.8236e-05
 41/262 [===>..........................] - ETA: 0s - loss: 4.8786e-05
 81/262 [========>.....................] - ETA: 0s - loss: 4.4886e-05
121/262 [============>.................] - ETA: 0s - loss: 4.5663e-05
162/262 [=================>............] - ETA: 0s - loss: 4.9225e-05
202/262 [======================>.......] - ETA: 0s - loss: 5.2188e-05
240/262 [==========================>...] - ETA: 0s - loss: 5.3401e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.1962e-05
    614. 

  614. Epoch 8/10
    615. 

  615. 
  1/262 [..............................] - ETA: 0s - loss: 2.1227e-04
 41/262 [===>..........................] - ETA: 0s - loss: 4.4721e-05
 80/262 [========>.....................] - ETA: 0s - loss: 3.4543e-05
118/262 [============>.................] - ETA: 0s - loss: 4.4151e-05
158/262 [=================>............] - ETA: 0s - loss: 4.5742e-05
199/262 [=====================>........] - ETA: 0s - loss: 4.3281e-05
238/262 [==========================>...] - ETA: 0s - loss: 4.2007e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.1805e-05
    616. 

  616. Epoch 9/10
    617. 

  617. 
  1/262 [..............................] - ETA: 0s - loss: 6.6010e-05
 36/262 [===>..........................] - ETA: 0s - loss: 3.3450e-05
 75/262 [=======>......................] - ETA: 0s - loss: 3.0464e-05
113/262 [===========>..................] - ETA: 0s - loss: 2.5961e-05
153/262 [================>.............] - ETA: 0s - loss: 2.8620e-05
193/262 [=====================>........] - ETA: 0s - loss: 3.2524e-05
233/262 [=========================>....] - ETA: 0s - loss: 3.5440e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.5091e-05
    618. 

  618. Epoch 10/10
    619. 

  619. 
  1/262 [..............................] - ETA: 0s - loss: 8.6847e-06
 42/262 [===>..........................] - ETA: 0s - loss: 2.9604e-05
 80/262 [========>.....................] - ETA: 0s - loss: 3.1735e-05
115/262 [============>.................] - ETA: 0s - loss: 3.3219e-05
153/262 [================>.............] - ETA: 0s - loss: 3.1319e-05
194/262 [=====================>........] - ETA: 0s - loss: 3.0626e-05
233/262 [=========================>....] - ETA: 0s - loss: 2.9391e-05
262/262 [==============================] - 0s 1ms/step - loss: 2.9382e-05
    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: 654, 0
    647. 

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

  648. KNN f1 score: 1.000
    649. 

  649. KNN cohens kappa score: 1.000
    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: 46s - loss: 5.2754e-04
 42/262 [===>..........................] - ETA: 0s - loss: 3.4231e-04 
 82/262 [========>.....................] - ETA: 0s - loss: 3.7322e-04
122/262 [============>.................] - ETA: 0s - loss: 3.6739e-04
162/262 [=================>............] - ETA: 0s - loss: 3.4062e-04
201/262 [======================>.......] - ETA: 0s - loss: 3.4159e-04
241/262 [==========================>...] - ETA: 0s - loss: 3.3729e-04
262/262 [==============================] - 1s 1ms/step - loss: 3.2401e-04
    659. 

  659. Epoch 2/10
    660. 

  660. 
  1/262 [..............................] - ETA: 0s - loss: 1.9408e-04
 42/262 [===>..........................] - ETA: 0s - loss: 3.6178e-04
 81/262 [========>.....................] - ETA: 0s - loss: 3.3228e-04
121/262 [============>.................] - ETA: 0s - loss: 3.0284e-04
160/262 [=================>............] - ETA: 0s - loss: 2.8371e-04
200/262 [=====================>........] - ETA: 0s - loss: 2.5781e-04
240/262 [==========================>...] - ETA: 0s - loss: 2.4925e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.4534e-04
    661. 

  661. Epoch 3/10
    662. 

  662. 
  1/262 [..............................] - ETA: 0s - loss: 5.8784e-05
 41/262 [===>..........................] - ETA: 0s - loss: 1.7838e-04
 79/262 [========>.....................] - ETA: 0s - loss: 2.4967e-04
117/262 [============>.................] - ETA: 0s - loss: 2.2085e-04
158/262 [=================>............] - ETA: 0s - loss: 2.1008e-04
198/262 [=====================>........] - ETA: 0s - loss: 1.9914e-04
237/262 [==========================>...] - ETA: 0s - loss: 1.9583e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.9395e-04
    663. 

  663. Epoch 4/10
    664. 

  664. 
  1/262 [..............................] - ETA: 0s - loss: 1.0691e-04
 39/262 [===>..........................] - ETA: 0s - loss: 1.7975e-04
 73/262 [=======>......................] - ETA: 0s - loss: 1.9396e-04
107/262 [===========>..................] - ETA: 0s - loss: 1.8653e-04
144/262 [===============>..............] - ETA: 0s - loss: 1.8399e-04
182/262 [===================>..........] - ETA: 0s - loss: 1.7970e-04
222/262 [========================>.....] - ETA: 0s - loss: 1.6667e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.5772e-04
    665. 

  665. Epoch 5/10
    666. 

  666. 
  1/262 [..............................] - ETA: 0s - loss: 1.0136e-04
 41/262 [===>..........................] - ETA: 0s - loss: 1.2270e-04
 80/262 [========>.....................] - ETA: 0s - loss: 1.2080e-04
120/262 [============>.................] - ETA: 0s - loss: 1.3072e-04
161/262 [=================>............] - ETA: 0s - loss: 1.3471e-04
201/262 [======================>.......] - ETA: 0s - loss: 1.3411e-04
241/262 [==========================>...] - ETA: 0s - loss: 1.3183e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2876e-04
    667. 

  667. Epoch 6/10
    668. 

  668. 
  1/262 [..............................] - ETA: 0s - loss: 8.3604e-05
 41/262 [===>..........................] - ETA: 0s - loss: 8.8542e-05
 82/262 [========>.....................] - ETA: 0s - loss: 8.6301e-05
118/262 [============>.................] - ETA: 0s - loss: 8.7968e-05
152/262 [================>.............] - ETA: 0s - loss: 1.0082e-04
192/262 [====================>.........] - ETA: 0s - loss: 1.0489e-04
232/262 [=========================>....] - ETA: 0s - loss: 1.0428e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0757e-04
    669. 

  669. Epoch 7/10
    670. 

  670. 
  1/262 [..............................] - ETA: 0s - loss: 4.6361e-05
 41/262 [===>..........................] - ETA: 0s - loss: 8.3550e-05
 79/262 [========>.....................] - ETA: 0s - loss: 9.5391e-05
119/262 [============>.................] - ETA: 0s - loss: 9.3145e-05
158/262 [=================>............] - ETA: 0s - loss: 9.0529e-05
198/262 [=====================>........] - ETA: 0s - loss: 8.4340e-05
238/262 [==========================>...] - ETA: 0s - loss: 8.4052e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.7180e-05
    671. 

  671. Epoch 8/10
    672. 

  672. 
  1/262 [..............................] - ETA: 0s - loss: 6.2190e-05
 41/262 [===>..........................] - ETA: 0s - loss: 8.4301e-05
 82/262 [========>.....................] - ETA: 0s - loss: 8.4733e-05
122/262 [============>.................] - ETA: 0s - loss: 8.2283e-05
162/262 [=================>............] - ETA: 0s - loss: 7.6597e-05
203/262 [======================>.......] - ETA: 0s - loss: 7.2712e-05
244/262 [==========================>...] - ETA: 0s - loss: 7.0433e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.2498e-05
    673. 

  673. Epoch 9/10
    674. 

  674. 
  1/262 [..............................] - ETA: 0s - loss: 2.2699e-05
 41/262 [===>..........................] - ETA: 0s - loss: 5.9876e-05
 81/262 [========>.....................] - ETA: 0s - loss: 6.2872e-05
121/262 [============>.................] - ETA: 0s - loss: 6.0331e-05
153/262 [================>.............] - ETA: 0s - loss: 6.1325e-05
194/262 [=====================>........] - ETA: 0s - loss: 6.1692e-05
233/262 [=========================>....] - ETA: 0s - loss: 6.2070e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.2014e-05
    675. 

  675. Epoch 10/10
    676. 

  676. 
  1/262 [..............................] - ETA: 0s - loss: 3.0858e-05
 40/262 [===>..........................] - ETA: 0s - loss: 4.2733e-05
 78/262 [=======>......................] - ETA: 0s - loss: 4.0573e-05
113/262 [===========>..................] - ETA: 0s - loss: 5.0242e-05
146/262 [===============>..............] - ETA: 0s - loss: 5.1737e-05
178/262 [===================>..........] - ETA: 0s - loss: 4.9595e-05
214/262 [=======================>......] - ETA: 0s - loss: 5.1892e-05
254/262 [============================>.] - ETA: 0s - loss: 5.1633e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.1007e-05
    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: 1:00 - loss: 3.6306e-04
 31/262 [==>...........................] - ETA: 0s - loss: 4.3796e-04  
 56/262 [=====>........................] - ETA: 0s - loss: 4.1036e-04
 83/262 [========>.....................] - ETA: 0s - loss: 4.0100e-04
109/262 [===========>..................] - ETA: 0s - loss: 4.3157e-04
141/262 [===============>..............] - ETA: 0s - loss: 4.1518e-04
168/262 [==================>...........] - ETA: 0s - loss: 4.0891e-04
200/262 [=====================>........] - ETA: 0s - loss: 4.0238e-04
234/262 [=========================>....] - ETA: 0s - loss: 3.9180e-04
262/262 [==============================] - 1s 2ms/step - loss: 3.8213e-04
    716. 

  716. Epoch 2/10
    717. 

  717. 
  1/262 [..............................] - ETA: 0s - loss: 1.0047e-04
 33/262 [==>...........................] - ETA: 0s - loss: 2.8627e-04
 66/262 [======>.......................] - ETA: 0s - loss: 3.2713e-04
104/262 [==========>...................] - ETA: 0s - loss: 3.0735e-04
143/262 [===============>..............] - ETA: 0s - loss: 3.1399e-04
180/262 [===================>..........] - ETA: 0s - loss: 3.1124e-04
219/262 [========================>.....] - ETA: 0s - loss: 3.0855e-04
254/262 [============================>.] - ETA: 0s - loss: 3.0599e-04
262/262 [==============================] - 0s 1ms/step - loss: 3.0402e-04
    718. 

  718. Epoch 3/10
    719. 

  719. 
  1/262 [..............................] - ETA: 0s - loss: 8.8503e-05
 38/262 [===>..........................] - ETA: 0s - loss: 2.2429e-04
 79/262 [========>.....................] - ETA: 0s - loss: 2.7697e-04
118/262 [============>.................] - ETA: 0s - loss: 2.5662e-04
155/262 [================>.............] - ETA: 0s - loss: 2.4747e-04
192/262 [====================>.........] - ETA: 0s - loss: 2.3689e-04
231/262 [=========================>....] - ETA: 0s - loss: 2.3957e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.4097e-04
    720. 

  720. Epoch 4/10
    721. 

  721. 
  1/262 [..............................] - ETA: 0s - loss: 7.0071e-05
 38/262 [===>..........................] - ETA: 0s - loss: 2.4775e-04
 76/262 [=======>......................] - ETA: 0s - loss: 2.3800e-04
114/262 [============>.................] - ETA: 0s - loss: 2.1368e-04
153/262 [================>.............] - ETA: 0s - loss: 1.9844e-04
189/262 [====================>.........] - ETA: 0s - loss: 2.0400e-04
228/262 [=========================>....] - ETA: 0s - loss: 1.9923e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.9533e-04
    722. 

  722. Epoch 5/10
    723. 

  723. 
  1/262 [..............................] - ETA: 0s - loss: 1.7537e-04
 39/262 [===>..........................] - ETA: 0s - loss: 1.7609e-04
 73/262 [=======>......................] - ETA: 0s - loss: 1.6637e-04
106/262 [===========>..................] - ETA: 0s - loss: 1.6560e-04
142/262 [===============>..............] - ETA: 0s - loss: 1.6963e-04
182/262 [===================>..........] - ETA: 0s - loss: 1.6918e-04
221/262 [========================>.....] - ETA: 0s - loss: 1.5736e-04
260/262 [============================>.] - ETA: 0s - loss: 1.5776e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.5798e-04
    724. 

  724. Epoch 6/10
    725. 

  725. 
  1/262 [..............................] - ETA: 0s - loss: 3.8141e-04
 42/262 [===>..........................] - ETA: 0s - loss: 1.4746e-04
 81/262 [========>.....................] - ETA: 0s - loss: 1.6559e-04
121/262 [============>.................] - ETA: 0s - loss: 1.5202e-04
161/262 [=================>............] - ETA: 0s - loss: 1.4112e-04
202/262 [======================>.......] - ETA: 0s - loss: 1.3643e-04
242/262 [==========================>...] - ETA: 0s - loss: 1.2802e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2840e-04
    726. 

  726. Epoch 7/10
    727. 

  727. 
  1/262 [..............................] - ETA: 0s - loss: 2.2186e-05
 41/262 [===>..........................] - ETA: 0s - loss: 9.4851e-05
 80/262 [========>.....................] - ETA: 0s - loss: 1.1164e-04
119/262 [============>.................] - ETA: 0s - loss: 1.1291e-04
158/262 [=================>............] - ETA: 0s - loss: 1.0584e-04
198/262 [=====================>........] - ETA: 0s - loss: 1.0272e-04
235/262 [=========================>....] - ETA: 0s - loss: 1.0361e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0567e-04
    728. 

  728. Epoch 8/10
    729. 

  729. 
  1/262 [..............................] - ETA: 0s - loss: 4.4990e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.0912e-04
 79/262 [========>.....................] - ETA: 0s - loss: 9.1186e-05
119/262 [============>.................] - ETA: 0s - loss: 9.7875e-05
158/262 [=================>............] - ETA: 0s - loss: 9.5480e-05
197/262 [=====================>........] - ETA: 0s - loss: 9.1784e-05
234/262 [=========================>....] - ETA: 0s - loss: 8.9331e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.5955e-05
    730. 

  730. Epoch 9/10
    731. 

  731. 
  1/262 [..............................] - ETA: 0s - loss: 2.8517e-05
 40/262 [===>..........................] - ETA: 0s - loss: 5.5658e-05
 79/262 [========>.....................] - ETA: 0s - loss: 5.5684e-05
117/262 [============>.................] - ETA: 0s - loss: 6.0188e-05
156/262 [================>.............] - ETA: 0s - loss: 6.6158e-05
196/262 [=====================>........] - ETA: 0s - loss: 7.5394e-05
235/262 [=========================>....] - ETA: 0s - loss: 7.3366e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.2258e-05
    732. 

  732. Epoch 10/10
    733. 

  733. 
  1/262 [..............................] - ETA: 0s - loss: 1.0547e-05
 36/262 [===>..........................] - ETA: 0s - loss: 9.2623e-05
 75/262 [=======>......................] - ETA: 0s - loss: 8.4208e-05
114/262 [============>.................] - ETA: 0s - loss: 7.4640e-05
154/262 [================>.............] - ETA: 0s - loss: 6.6134e-05
194/262 [=====================>........] - ETA: 0s - loss: 6.4487e-05
235/262 [=========================>....] - ETA: 0s - loss: 6.1415e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.7994e-05
    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: 57s - loss: 3.3470e-05
 35/262 [===>..........................] - ETA: 0s - loss: 1.0296e-04 
 64/262 [======>.......................] - ETA: 0s - loss: 1.2294e-04
100/262 [==========>...................] - ETA: 0s - loss: 1.0402e-04
138/262 [==============>...............] - ETA: 0s - loss: 1.0008e-04
175/262 [===================>..........] - ETA: 0s - loss: 9.3734e-05
211/262 [=======================>......] - ETA: 0s - loss: 9.0263e-05
249/262 [===========================>..] - ETA: 0s - loss: 8.5453e-05
262/262 [==============================] - 1s 1ms/step - loss: 8.3067e-05
    773. 

  773. Epoch 2/10
    774. 

  774. 
  1/262 [..............................] - ETA: 0s - loss: 5.1434e-05
 36/262 [===>..........................] - ETA: 0s - loss: 7.5801e-05
 70/262 [=======>......................] - ETA: 0s - loss: 7.0720e-05
105/262 [===========>..................] - ETA: 0s - loss: 8.6031e-05
139/262 [==============>...............] - ETA: 0s - loss: 7.8675e-05
172/262 [==================>...........] - ETA: 0s - loss: 7.7554e-05
206/262 [======================>.......] - ETA: 0s - loss: 7.6225e-05
239/262 [==========================>...] - ETA: 0s - loss: 7.1263e-05
262/262 [==============================] - 0s 2ms/step - loss: 6.8081e-05
    775. 

  775. Epoch 3/10
    776. 

  776. 
  1/262 [..............................] - ETA: 0s - loss: 2.5707e-05
 35/262 [===>..........................] - ETA: 0s - loss: 5.9372e-05
 72/262 [=======>......................] - ETA: 0s - loss: 7.8600e-05
104/262 [==========>...................] - ETA: 0s - loss: 6.6762e-05
136/262 [==============>...............] - ETA: 0s - loss: 6.4117e-05
171/262 [==================>...........] - ETA: 0s - loss: 5.9299e-05
206/262 [======================>.......] - ETA: 0s - loss: 5.6013e-05
244/262 [==========================>...] - ETA: 0s - loss: 5.3475e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.1799e-05
    777. 

  777. Epoch 4/10
    778. 

  778. 
  1/262 [..............................] - ETA: 0s - loss: 1.0821e-05
 37/262 [===>..........................] - ETA: 0s - loss: 3.3474e-05
 68/262 [======>.......................] - ETA: 0s - loss: 3.4826e-05
 98/262 [==========>...................] - ETA: 0s - loss: 3.3797e-05
134/262 [==============>...............] - ETA: 0s - loss: 4.3904e-05
171/262 [==================>...........] - ETA: 0s - loss: 4.0111e-05
202/262 [======================>.......] - ETA: 0s - loss: 3.8047e-05
236/262 [==========================>...] - ETA: 0s - loss: 3.7784e-05
262/262 [==============================] - 0s 2ms/step - loss: 3.6213e-05
    779. 

  779. Epoch 5/10
    780. 

  780. 
  1/262 [..............................] - ETA: 0s - loss: 1.5147e-05
 35/262 [===>..........................] - ETA: 0s - loss: 2.4589e-05
 69/262 [======>.......................] - ETA: 0s - loss: 3.1512e-05
104/262 [==========>...................] - ETA: 0s - loss: 2.8976e-05
138/262 [==============>...............] - ETA: 0s - loss: 2.8294e-05
170/262 [==================>...........] - ETA: 0s - loss: 2.7315e-05
199/262 [=====================>........] - ETA: 0s - loss: 3.0981e-05
215/262 [=======================>......] - ETA: 0s - loss: 3.0228e-05
240/262 [==========================>...] - ETA: 0s - loss: 2.9560e-05
262/262 [==============================] - 0s 2ms/step - loss: 2.9749e-05
    781. 

  781. Epoch 6/10
    782. 

  782. 
  1/262 [..............................] - ETA: 0s - loss: 2.0058e-05
 34/262 [==>...........................] - ETA: 0s - loss: 3.1512e-05
 61/262 [=====>........................] - ETA: 0s - loss: 2.5425e-05
 94/262 [=========>....................] - ETA: 0s - loss: 2.3369e-05
126/262 [=============>................] - ETA: 0s - loss: 2.3013e-05
158/262 [=================>............] - ETA: 0s - loss: 2.3416e-05
187/262 [====================>.........] - ETA: 0s - loss: 2.3218e-05
217/262 [=======================>......] - ETA: 0s - loss: 2.2155e-05
242/262 [==========================>...] - ETA: 0s - loss: 2.1525e-05
262/262 [==============================] - 0s 2ms/step - loss: 2.4914e-05
    783. 

  783. Epoch 7/10
    784. 

  784. 
  1/262 [..............................] - ETA: 0s - loss: 1.1376e-05
 27/262 [==>...........................] - ETA: 0s - loss: 1.8308e-05
 48/262 [====>.........................] - ETA: 0s - loss: 2.5273e-05
 77/262 [=======>......................] - ETA: 0s - loss: 2.2202e-05
103/262 [==========>...................] - ETA: 0s - loss: 2.1492e-05
125/262 [=============>................] - ETA: 0s - loss: 2.7084e-05
149/262 [================>.............] - ETA: 0s - loss: 2.5552e-05
174/262 [==================>...........] - ETA: 0s - loss: 2.4038e-05
204/262 [======================>.......] - ETA: 0s - loss: 2.3289e-05
226/262 [========================>.....] - ETA: 0s - loss: 2.2533e-05
248/262 [===========================>..] - ETA: 0s - loss: 2.2112e-05
262/262 [==============================] - 1s 2ms/step - loss: 2.2116e-05
    785. 

  785. Epoch 8/10
    786. 

  786. 
  1/262 [..............................] - ETA: 0s - loss: 8.1206e-06
 27/262 [==>...........................] - ETA: 0s - loss: 4.0189e-05
 53/262 [=====>........................] - ETA: 0s - loss: 2.8716e-05
 81/262 [========>.....................] - ETA: 0s - loss: 2.3493e-05
108/262 [===========>..................] - ETA: 0s - loss: 2.2129e-05
134/262 [==============>...............] - ETA: 0s - loss: 2.2229e-05
160/262 [=================>............] - ETA: 0s - loss: 2.0688e-05
198/262 [=====================>........] - ETA: 0s - loss: 1.9611e-05
233/262 [=========================>....] - ETA: 0s - loss: 1.9028e-05
262/262 [==============================] - 0s 2ms/step - loss: 1.8454e-05
    787. 

  787. Epoch 9/10
    788. 

  788. 
  1/262 [..............................] - ETA: 0s - loss: 1.4651e-05
 34/262 [==>...........................] - ETA: 0s - loss: 1.6385e-05
 69/262 [======>.......................] - ETA: 0s - loss: 1.5628e-05
100/262 [==========>...................] - ETA: 0s - loss: 1.4444e-05
133/262 [==============>...............] - ETA: 0s - loss: 1.4426e-05
169/262 [==================>...........] - ETA: 0s - loss: 1.3573e-05
200/262 [=====================>........] - ETA: 0s - loss: 1.4706e-05
231/262 [=========================>....] - ETA: 0s - loss: 1.4232e-05
262/262 [==============================] - 0s 2ms/step - loss: 1.6531e-05
    789. 

  789. Epoch 10/10
    790. 

  790. 
  1/262 [..............................] - ETA: 0s - loss: 1.2650e-05
 32/262 [==>...........................] - ETA: 0s - loss: 1.4375e-05
 63/262 [======>.......................] - ETA: 0s - loss: 1.5410e-05
102/262 [==========>...................] - ETA: 0s - loss: 1.3798e-05
142/262 [===============>..............] - ETA: 0s - loss: 1.2768e-05
178/262 [===================>..........] - ETA: 0s - loss: 1.6502e-05
214/262 [=======================>......] - ETA: 0s - loss: 1.5944e-05
250/262 [===========================>..] - ETA: 0s - loss: 1.5375e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.5284e-05
    791. 

  791. -> test with GAN.predict
    792. 

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

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

  794. GAN f1 score: 1.000
    795. 

  795. GAN cohens kappa score: 1.000
    796. 

  796. 

  797. -> test with 'LR'
    798. 

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

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

  800. LR f1 score: 1.000
    801. 

  801. LR cohens kappa score: 1.000
    802. 

  802. LR average precision score: 1.000
    803. 

  803. 

  804. -> test with 'RF'
    805. 

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

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

  807. RF f1 score: 1.000
    808. 

  808. RF cohens kappa score: 1.000
    809. 

  809. 

  810. -> test with 'GB'
    811. 

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

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

  813. GB f1 score: 1.000
    814. 

  814. GB cohens kappa score: 1.000
    815. 

  815. 

  816. -> test with 'KNN'
    817. 

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

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

  819. KNN f1 score: 0.952
    820. 

  820. KNN cohens kappa score: 0.952
    821. 

  821. 

  822. 

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

  824. -> Reset the GAN
    825. 

  825. -> Train generator for synthetic samples
    826. 

  826. -> create 2576 synthetic samples
    827. 

  827. -> retrain GAN for predict
    828. 

  828. Epoch 1/10
    829. 

  829. 
  1/262 [..............................] - ETA: 41s - loss: 0.0110
 41/262 [===>..........................] - ETA: 0s - loss: 0.0106 
 79/262 [========>.....................] - ETA: 0s - loss: 0.0081
119/262 [============>.................] - ETA: 0s - loss: 0.0069
158/262 [=================>............] - ETA: 0s - loss: 0.0059
197/262 [=====================>........] - ETA: 0s - loss: 0.0055
237/262 [==========================>...] - ETA: 0s - loss: 0.0051
262/262 [==============================] - 0s 1ms/step - loss: 0.0049
    830. 

  830. Epoch 2/10
    831. 

  831. 
  1/262 [..............................] - ETA: 0s - loss: 9.8959e-05
 41/262 [===>..........................] - ETA: 0s - loss: 0.0027    
 81/262 [========>.....................] - ETA: 0s - loss: 0.0029
120/262 [============>.................] - ETA: 0s - loss: 0.0031
159/262 [=================>............] - ETA: 0s - loss: 0.0031
199/262 [=====================>........] - ETA: 0s - loss: 0.0030
239/262 [==========================>...] - ETA: 0s - loss: 0.0028
262/262 [==============================] - 0s 1ms/step - loss: 0.0028
    832. 

  832. Epoch 3/10
    833. 

  833. 
  1/262 [..............................] - ETA: 0s - loss: 3.9056e-04
 35/262 [===>..........................] - ETA: 0s - loss: 0.0031    
 68/262 [======>.......................] - ETA: 0s - loss: 0.0025
108/262 [===========>..................] - ETA: 0s - loss: 0.0032
142/262 [===============>..............] - ETA: 0s - loss: 0.0029
179/262 [===================>..........] - ETA: 0s - loss: 0.0027
217/262 [=======================>......] - ETA: 0s - loss: 0.0026
254/262 [============================>.] - ETA: 0s - loss: 0.0025
262/262 [==============================] - 0s 1ms/step - loss: 0.0025
    834. 

  834. Epoch 4/10
    835. 

  835. 
  1/262 [..............................] - ETA: 0s - loss: 7.4092e-05
 40/262 [===>..........................] - ETA: 0s - loss: 0.0018    
 78/262 [=======>......................] - ETA: 0s - loss: 0.0018
117/262 [============>.................] - ETA: 0s - loss: 0.0019
155/262 [================>.............] - ETA: 0s - loss: 0.0019
193/262 [=====================>........] - ETA: 0s - loss: 0.0019
231/262 [=========================>....] - ETA: 0s - loss: 0.0017
262/262 [==============================] - 0s 1ms/step - loss: 0.0018
    836. 

  836. Epoch 5/10
    837. 

  837. 
  1/262 [..............................] - ETA: 0s - loss: 9.7590e-05
 41/262 [===>..........................] - ETA: 0s - loss: 0.0014    
 80/262 [========>.....................] - ETA: 0s - loss: 0.0016
121/262 [============>.................] - ETA: 0s - loss: 0.0017
160/262 [=================>............] - ETA: 0s - loss: 0.0016
199/262 [=====================>........] - ETA: 0s - loss: 0.0016
239/262 [==========================>...] - ETA: 0s - loss: 0.0015
262/262 [==============================] - 0s 1ms/step - loss: 0.0014
    838. 

  838. Epoch 6/10
    839. 

  839. 
  1/262 [..............................] - ETA: 0s - loss: 2.1124e-05
 40/262 [===>..........................] - ETA: 0s - loss: 0.0012    
 81/262 [========>.....................] - ETA: 0s - loss: 0.0012
121/262 [============>.................] - ETA: 0s - loss: 0.0012
161/262 [=================>............] - ETA: 0s - loss: 0.0011
200/262 [=====================>........] - ETA: 0s - loss: 0.0011
240/262 [==========================>...] - ETA: 0s - loss: 0.0011
262/262 [==============================] - 0s 1ms/step - loss: 0.0011
    840. 

  840. Epoch 7/10
    841. 

  841. 
  1/262 [..............................] - ETA: 0s - loss: 0.0025
 39/262 [===>..........................] - ETA: 0s - loss: 8.4334e-04
 79/262 [========>.....................] - ETA: 0s - loss: 8.2722e-04
119/262 [============>.................] - ETA: 0s - loss: 8.0483e-04
159/262 [=================>............] - ETA: 0s - loss: 8.0304e-04
199/262 [=====================>........] - ETA: 0s - loss: 7.8457e-04
237/262 [==========================>...] - ETA: 0s - loss: 7.9726e-04
262/262 [==============================] - 0s 1ms/step - loss: 7.8708e-04
    842. 

  842. Epoch 8/10
    843. 

  843. 
  1/262 [..............................] - ETA: 0s - loss: 0.0026
 39/262 [===>..........................] - ETA: 0s - loss: 5.8220e-04
 74/262 [=======>......................] - ETA: 0s - loss: 6.1381e-04
108/262 [===========>..................] - ETA: 0s - loss: 6.0353e-04
149/262 [================>.............] - ETA: 0s - loss: 5.7826e-04
188/262 [====================>.........] - ETA: 0s - loss: 5.5704e-04
227/262 [========================>.....] - ETA: 0s - loss: 5.5029e-04
262/262 [==============================] - 0s 1ms/step - loss: 5.3252e-04
    844. 

  844. Epoch 9/10
    845. 

  845. 
  1/262 [..............................] - ETA: 0s - loss: 4.1570e-06
 37/262 [===>..........................] - ETA: 0s - loss: 4.2125e-04
 71/262 [=======>......................] - ETA: 0s - loss: 0.0028    
103/262 [==========>...................] - ETA: 0s - loss: 0.0021
138/262 [==============>...............] - ETA: 0s - loss: 0.0017
169/262 [==================>...........] - ETA: 0s - loss: 0.0014
203/262 [======================>.......] - ETA: 0s - loss: 0.0013
244/262 [==========================>...] - ETA: 0s - loss: 0.0012
262/262 [==============================] - 0s 1ms/step - loss: 0.0011
    846. 

  846. Epoch 10/10
    847. 

  847. 
  1/262 [..............................] - ETA: 0s - loss: 1.0733e-05
 42/262 [===>..........................] - ETA: 0s - loss: 3.1043e-04
 82/262 [========>.....................] - ETA: 0s - loss: 3.5539e-04
121/262 [============>.................] - ETA: 0s - loss: 3.4529e-04
159/262 [=================>............] - ETA: 0s - loss: 3.4856e-04
197/262 [=====================>........] - ETA: 0s - loss: 3.4980e-04
237/262 [==========================>...] - ETA: 0s - loss: 3.4557e-04
262/262 [==============================] - 0s 1ms/step - loss: 3.4323e-04
    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: 650, 1
    856. 

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

  857. LR f1 score: 0.947
    858. 

  858. LR cohens kappa score: 0.947
    859. 

  859. LR average precision score: 1.000
    860. 

  860. 

  861. -> test with 'RF'
    862. 

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

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

  864. RF f1 score: 1.000
    865. 

  865. RF cohens kappa score: 1.000
    866. 

  866. 

  867. -> test with 'GB'
    868. 

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

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

  870. GB f1 score: 1.000
    871. 

  871. GB cohens kappa score: 1.000
    872. 

  872. 

  873. -> test with 'KNN'
    874. 

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

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

  876. KNN f1 score: 0.900
    877. 

  877. KNN cohens kappa score: 0.898
    878. 

  878. 

  879. 

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

  881. -> Shuffling data
    882. 

  882. -> Spliting data to slices
    883. 

  883. 

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

  885. -> Reset the GAN
    886. 

  886. -> Train generator for synthetic samples
    887. 

  887. -> create 2574 synthetic samples
    888. 

  888. -> retrain GAN for predict
    889. 

  889. Epoch 1/10
    890. 

  890. 
  1/262 [..............................] - ETA: 1:07 - loss: 8.5677e-05
 36/262 [===>..........................] - ETA: 0s - loss: 2.1560e-04  
 66/262 [======>.......................] - ETA: 0s - loss: 1.7454e-04
 98/262 [==========>...................] - ETA: 0s - loss: 1.8993e-04
126/262 [=============>................] - ETA: 0s - loss: 1.9173e-04
150/262 [================>.............] - ETA: 0s - loss: 1.8730e-04
167/262 [==================>...........] - ETA: 0s - loss: 1.8333e-04
177/262 [===================>..........] - ETA: 0s - loss: 1.7924e-04
195/262 [=====================>........] - ETA: 0s - loss: 1.8286e-04
222/262 [========================>.....] - ETA: 0s - loss: 1.7855e-04
248/262 [===========================>..] - ETA: 0s - loss: 1.7356e-04
262/262 [==============================] - 1s 2ms/step - loss: 1.7526e-04
    891. 

  891. Epoch 2/10
    892. 

  892. 
  1/262 [..............................] - ETA: 0s - loss: 5.5346e-05
 33/262 [==>...........................] - ETA: 0s - loss: 1.5602e-04
 62/262 [======>.......................] - ETA: 0s - loss: 1.7789e-04
 89/262 [=========>....................] - ETA: 0s - loss: 1.6654e-04
109/262 [===========>..................] - ETA: 0s - loss: 1.5185e-04
131/262 [==============>...............] - ETA: 0s - loss: 1.4635e-04
154/262 [================>.............] - ETA: 0s - loss: 1.3505e-04
172/262 [==================>...........] - ETA: 0s - loss: 1.3352e-04
198/262 [=====================>........] - ETA: 0s - loss: 1.3558e-04
224/262 [========================>.....] - ETA: 0s - loss: 1.3251e-04
254/262 [============================>.] - ETA: 0s - loss: 1.2776e-04
262/262 [==============================] - 1s 2ms/step - loss: 1.2627e-04
    893. 

  893. Epoch 3/10
    894. 

  894. 
  1/262 [..............................] - ETA: 0s - loss: 0.0019
 25/262 [=>............................] - ETA: 0s - loss: 1.5388e-04
 56/262 [=====>........................] - ETA: 0s - loss: 1.3648e-04
 81/262 [========>.....................] - ETA: 0s - loss: 1.1491e-04
102/262 [==========>...................] - ETA: 0s - loss: 1.2813e-04
122/262 [============>.................] - ETA: 0s - loss: 1.2066e-04
143/262 [===============>..............] - ETA: 0s - loss: 1.1549e-04
168/262 [==================>...........] - ETA: 0s - loss: 1.0725e-04
201/262 [======================>.......] - ETA: 0s - loss: 1.0579e-04
229/262 [=========================>....] - ETA: 0s - loss: 1.0079e-04
256/262 [============================>.] - ETA: 0s - loss: 1.0125e-04
262/262 [==============================] - 1s 2ms/step - loss: 1.0034e-04
    895. 

  895. Epoch 4/10
    896. 

  896. 
  1/262 [..............................] - ETA: 0s - loss: 2.3241e-05
 26/262 [=>............................] - ETA: 0s - loss: 8.4487e-05
 60/262 [=====>........................] - ETA: 0s - loss: 9.3799e-05
 83/262 [========>.....................] - ETA: 0s - loss: 8.9395e-05
106/262 [===========>..................] - ETA: 0s - loss: 9.8495e-05
134/262 [==============>...............] - ETA: 0s - loss: 9.3733e-05
154/262 [================>.............] - ETA: 0s - loss: 8.9996e-05
170/262 [==================>...........] - ETA: 0s - loss: 8.6272e-05
194/262 [=====================>........] - ETA: 0s - loss: 8.2945e-05
214/262 [=======================>......] - ETA: 0s - loss: 7.9511e-05
235/262 [=========================>....] - ETA: 0s - loss: 7.8205e-05
262/262 [==============================] - 1s 2ms/step - loss: 7.7039e-05
    897. 

  897. Epoch 5/10
    898. 

  898. 
  1/262 [..............................] - ETA: 0s - loss: 5.7547e-05
 23/262 [=>............................] - ETA: 0s - loss: 4.8460e-05
 45/262 [====>.........................] - ETA: 0s - loss: 5.4695e-05
 67/262 [======>.......................] - ETA: 0s - loss: 4.9112e-05
101/262 [==========>...................] - ETA: 0s - loss: 5.4261e-05
130/262 [=============>................] - ETA: 0s - loss: 5.5039e-05
159/262 [=================>............] - ETA: 0s - loss: 5.8643e-05
186/262 [====================>.........] - ETA: 0s - loss: 5.7240e-05
215/262 [=======================>......] - ETA: 0s - loss: 5.7862e-05
245/262 [===========================>..] - ETA: 0s - loss: 5.5457e-05
262/262 [==============================] - 0s 2ms/step - loss: 5.9199e-05
    899. 

  899. Epoch 6/10
    900. 

  900. 
  1/262 [..............................] - ETA: 0s - loss: 3.2951e-05
 26/262 [=>............................] - ETA: 0s - loss: 6.5349e-05
 47/262 [====>.........................] - ETA: 0s - loss: 5.6845e-05
 76/262 [=======>......................] - ETA: 0s - loss: 6.5359e-05
 97/262 [==========>...................] - ETA: 0s - loss: 5.7905e-05
126/262 [=============>................] - ETA: 0s - loss: 5.5203e-05
142/262 [===============>..............] - ETA: 0s - loss: 5.2030e-05
167/262 [==================>...........] - ETA: 0s - loss: 5.0298e-05
199/262 [=====================>........] - ETA: 0s - loss: 4.7555e-05
226/262 [========================>.....] - ETA: 0s - loss: 4.5223e-05
249/262 [===========================>..] - ETA: 0s - loss: 4.5201e-05
262/262 [==============================] - 1s 2ms/step - loss: 4.6460e-05
    901. 

  901. Epoch 7/10
    902. 

  902. 
  1/262 [..............................] - ETA: 0s - loss: 1.7821e-05
 31/262 [==>...........................] - ETA: 0s - loss: 2.3311e-05
 53/262 [=====>........................] - ETA: 0s - loss: 2.9459e-05
 77/262 [=======>......................] - ETA: 0s - loss: 2.9702e-05
105/262 [===========>..................] - ETA: 0s - loss: 2.9449e-05
133/262 [==============>...............] - ETA: 0s - loss: 3.3729e-05
158/262 [=================>............] - ETA: 0s - loss: 3.9128e-05
187/262 [====================>.........] - ETA: 0s - loss: 4.0749e-05
215/262 [=======================>......] - ETA: 0s - loss: 3.9340e-05
241/262 [==========================>...] - ETA: 0s - loss: 3.7999e-05
262/262 [==============================] - 1s 2ms/step - loss: 3.6811e-05
    903. 

  903. Epoch 8/10
    904. 

  904. 
  1/262 [..............................] - ETA: 0s - loss: 1.1962e-05
 30/262 [==>...........................] - ETA: 0s - loss: 2.5875e-05
 58/262 [=====>........................] - ETA: 0s - loss: 3.1008e-05
 89/262 [=========>....................] - ETA: 0s - loss: 2.8684e-05
116/262 [============>.................] - ETA: 0s - loss: 3.3520e-05
143/262 [===============>..............] - ETA: 0s - loss: 3.3776e-05
169/262 [==================>...........] - ETA: 0s - loss: 3.3295e-05
196/262 [=====================>........] - ETA: 0s - loss: 3.2840e-05
221/262 [========================>.....] - ETA: 0s - loss: 3.1584e-05
238/262 [==========================>...] - ETA: 0s - loss: 3.0274e-05
253/262 [===========================>..] - ETA: 0s - loss: 3.0210e-05
262/262 [==============================] - 1s 2ms/step - loss: 2.9842e-05
    905. 

  905. Epoch 9/10
    906. 

  906. 
  1/262 [..............................] - ETA: 0s - loss: 9.0630e-06
 17/262 [>.............................] - ETA: 0s - loss: 1.6448e-05
 35/262 [===>..........................] - ETA: 0s - loss: 1.4401e-05
 58/262 [=====>........................] - ETA: 0s - loss: 1.4541e-05
 84/262 [========>.....................] - ETA: 0s - loss: 1.9765e-05
107/262 [===========>..................] - ETA: 0s - loss: 2.2143e-05
131/262 [==============>...............] - ETA: 0s - loss: 2.2073e-05
156/262 [================>.............] - ETA: 0s - loss: 2.6637e-05
183/262 [===================>..........] - ETA: 0s - loss: 2.7195e-05
208/262 [======================>.......] - ETA: 0s - loss: 2.6523e-05
233/262 [=========================>....] - ETA: 0s - loss: 2.5998e-05
261/262 [============================>.] - ETA: 0s - loss: 2.4762e-05
262/262 [==============================] - 1s 2ms/step - loss: 2.4760e-05
    907. 

  907. Epoch 10/10
    908. 

  908. 
  1/262 [..............................] - ETA: 0s - loss: 8.3444e-06
 29/262 [==>...........................] - ETA: 0s - loss: 2.6078e-05
 56/262 [=====>........................] - ETA: 0s - loss: 2.2102e-05
 82/262 [========>.....................] - ETA: 0s - loss: 2.8751e-05
111/262 [===========>..................] - ETA: 0s - loss: 2.6016e-05
143/262 [===============>..............] - ETA: 0s - loss: 2.2436e-05
175/262 [===================>..........] - ETA: 0s - loss: 2.1577e-05
202/262 [======================>.......] - ETA: 0s - loss: 2.0003e-05
224/262 [========================>.....] - ETA: 0s - loss: 2.0126e-05
237/262 [==========================>...] - ETA: 0s - loss: 1.9656e-05
249/262 [===========================>..] - ETA: 0s - loss: 1.9331e-05
262/262 [==============================] - 1s 2ms/step - loss: 1.8967e-05
    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: 51s - loss: 9.0760e-04
 32/262 [==>...........................] - ETA: 0s - loss: 6.0743e-04 
 61/262 [=====>........................] - ETA: 0s - loss: 5.1778e-04
 84/262 [========>.....................] - ETA: 0s - loss: 6.0711e-04
114/262 [============>.................] - ETA: 0s - loss: 5.3817e-04
135/262 [==============>...............] - ETA: 0s - loss: 5.3237e-04
163/262 [=================>............] - ETA: 0s - loss: 5.3237e-04
187/262 [====================>.........] - ETA: 0s - loss: 5.4849e-04
215/262 [=======================>......] - ETA: 0s - loss: 5.2709e-04
240/262 [==========================>...] - ETA: 0s - loss: 5.2523e-04
262/262 [==============================] - 1s 2ms/step - loss: 5.2422e-04
    948. 

  948. Epoch 2/10
    949. 

  949. 
  1/262 [..............................] - ETA: 0s - loss: 8.0622e-04
 27/262 [==>...........................] - ETA: 0s - loss: 4.2167e-04
 48/262 [====>.........................] - ETA: 0s - loss: 4.2172e-04
 75/262 [=======>......................] - ETA: 0s - loss: 4.8467e-04
 95/262 [=========>....................] - ETA: 0s - loss: 4.9324e-04
116/262 [============>.................] - ETA: 0s - loss: 4.7058e-04
142/262 [===============>..............] - ETA: 0s - loss: 4.3053e-04
163/262 [=================>............] - ETA: 0s - loss: 4.2396e-04
185/262 [====================>.........] - ETA: 0s - loss: 4.1420e-04
215/262 [=======================>......] - ETA: 0s - loss: 4.1830e-04
237/262 [==========================>...] - ETA: 0s - loss: 4.1333e-04
261/262 [============================>.] - ETA: 0s - loss: 3.9785e-04
262/262 [==============================] - 1s 2ms/step - loss: 3.9743e-04
    950. 

  950. Epoch 3/10
    951. 

  951. 
  1/262 [..............................] - ETA: 0s - loss: 4.5403e-05
 21/262 [=>............................] - ETA: 0s - loss: 3.9265e-04
 38/262 [===>..........................] - ETA: 0s - loss: 3.8315e-04
 54/262 [=====>........................] - ETA: 0s - loss: 4.1913e-04
 83/262 [========>.....................] - ETA: 0s - loss: 3.8167e-04
111/262 [===========>..................] - ETA: 0s - loss: 3.6734e-04
142/262 [===============>..............] - ETA: 0s - loss: 3.2531e-04
171/262 [==================>...........] - ETA: 0s - loss: 3.3526e-04
197/262 [=====================>........] - ETA: 0s - loss: 3.2219e-04
226/262 [========================>.....] - ETA: 0s - loss: 3.1750e-04
251/262 [===========================>..] - ETA: 0s - loss: 3.1148e-04
262/262 [==============================] - 1s 2ms/step - loss: 3.0623e-04
    952. 

  952. Epoch 4/10
    953. 

  953. 
  1/262 [..............................] - ETA: 0s - loss: 1.1364e-04
 23/262 [=>............................] - ETA: 0s - loss: 2.3957e-04
 53/262 [=====>........................] - ETA: 0s - loss: 2.8671e-04
 91/262 [=========>....................] - ETA: 0s - loss: 2.4347e-04
122/262 [============>.................] - ETA: 0s - loss: 2.5363e-04
152/262 [================>.............] - ETA: 0s - loss: 2.4754e-04
184/262 [====================>.........] - ETA: 0s - loss: 2.3994e-04
215/262 [=======================>......] - ETA: 0s - loss: 2.3642e-04
244/262 [==========================>...] - ETA: 0s - loss: 2.4532e-04
262/262 [==============================] - 0s 2ms/step - loss: 2.4546e-04
    954. 

  954. Epoch 5/10
    955. 

  955. 
  1/262 [..............................] - ETA: 0s - loss: 3.3323e-05
 34/262 [==>...........................] - ETA: 0s - loss: 2.0947e-04
 54/262 [=====>........................] - ETA: 0s - loss: 2.7960e-04
 75/262 [=======>......................] - ETA: 0s - loss: 2.7471e-04
100/262 [==========>...................] - ETA: 0s - loss: 2.6970e-04
117/262 [============>.................] - ETA: 0s - loss: 2.5822e-04
130/262 [=============>................] - ETA: 0s - loss: 2.5668e-04
146/262 [===============>..............] - ETA: 0s - loss: 2.4524e-04
167/262 [==================>...........] - ETA: 0s - loss: 2.3267e-04
183/262 [===================>..........] - ETA: 0s - loss: 2.1924e-04
206/262 [======================>.......] - ETA: 0s - loss: 2.1324e-04
233/262 [=========================>....] - ETA: 0s - loss: 2.0380e-04
259/262 [============================>.] - ETA: 0s - loss: 1.9378e-04
262/262 [==============================] - 1s 2ms/step - loss: 1.9258e-04
    956. 

  956. Epoch 6/10
    957. 

  957. 
  1/262 [..............................] - ETA: 0s - loss: 1.4867e-04
 30/262 [==>...........................] - ETA: 0s - loss: 1.4915e-04
 55/262 [=====>........................] - ETA: 0s - loss: 1.9846e-04
 82/262 [========>.....................] - ETA: 0s - loss: 1.6494e-04
108/262 [===========>..................] - ETA: 0s - loss: 1.6607e-04
128/262 [=============>................] - ETA: 0s - loss: 1.5727e-04
157/262 [================>.............] - ETA: 0s - loss: 1.4725e-04
183/262 [===================>..........] - ETA: 0s - loss: 1.3846e-04
200/262 [=====================>........] - ETA: 0s - loss: 1.3863e-04
229/262 [=========================>....] - ETA: 0s - loss: 1.3011e-04
262/262 [==============================] - 1s 2ms/step - loss: 1.3100e-04
    958. 

  958. Epoch 7/10
    959. 

  959. 
  1/262 [..............................] - ETA: 0s - loss: 3.3518e-05
 28/262 [==>...........................] - ETA: 0s - loss: 1.5780e-04
 52/262 [====>.........................] - ETA: 0s - loss: 1.0285e-04
 80/262 [========>.....................] - ETA: 0s - loss: 1.1672e-04
106/262 [===========>..................] - ETA: 0s - loss: 1.1461e-04
124/262 [=============>................] - ETA: 0s - loss: 1.0802e-04
136/262 [==============>...............] - ETA: 0s - loss: 1.0155e-04
156/262 [================>.............] - ETA: 0s - loss: 1.0191e-04
173/262 [==================>...........] - ETA: 0s - loss: 9.6700e-05
203/262 [======================>.......] - ETA: 0s - loss: 9.9023e-05
229/262 [=========================>....] - ETA: 0s - loss: 9.7357e-05
259/262 [============================>.] - ETA: 0s - loss: 9.9597e-05
262/262 [==============================] - 1s 2ms/step - loss: 9.9642e-05
    960. 

  960. Epoch 8/10
    961. 

  961. 
  1/262 [..............................] - ETA: 0s - loss: 1.0188e-05
 25/262 [=>............................] - ETA: 0s - loss: 9.0261e-05
 53/262 [=====>........................] - ETA: 0s - loss: 6.7115e-05
 79/262 [========>.....................] - ETA: 0s - loss: 6.6201e-05
101/262 [==========>...................] - ETA: 0s - loss: 7.1711e-05
124/262 [=============>................] - ETA: 0s - loss: 6.7624e-05
147/262 [===============>..............] - ETA: 0s - loss: 7.6997e-05
175/262 [===================>..........] - ETA: 0s - loss: 7.7732e-05
198/262 [=====================>........] - ETA: 0s - loss: 8.3304e-05
221/262 [========================>.....] - ETA: 0s - loss: 8.2273e-05
236/262 [==========================>...] - ETA: 0s - loss: 8.5052e-05
256/262 [============================>.] - ETA: 0s - loss: 8.3193e-05
262/262 [==============================] - 1s 2ms/step - loss: 8.2619e-05
    962. 

  962. Epoch 9/10
    963. 

  963. 
  1/262 [..............................] - ETA: 0s - loss: 1.2253e-04
 16/262 [>.............................] - ETA: 0s - loss: 6.9537e-05
 27/262 [==>...........................] - ETA: 0s - loss: 5.0642e-05
 41/262 [===>..........................] - ETA: 0s - loss: 4.9851e-05
 60/262 [=====>........................] - ETA: 0s - loss: 7.1191e-05
 84/262 [========>.....................] - ETA: 0s - loss: 7.4570e-05
114/262 [============>.................] - ETA: 0s - loss: 7.0404e-05
148/262 [===============>..............] - ETA: 0s - loss: 6.6837e-05
176/262 [===================>..........] - ETA: 0s - loss: 6.7856e-05
197/262 [=====================>........] - ETA: 0s - loss: 6.7530e-05
216/262 [=======================>......] - ETA: 0s - loss: 6.4698e-05
233/262 [=========================>....] - ETA: 0s - loss: 6.4252e-05
243/262 [==========================>...] - ETA: 0s - loss: 6.2643e-05
260/262 [============================>.] - ETA: 0s - loss: 6.2590e-05
262/262 [==============================] - 1s 3ms/step - loss: 6.4052e-05
    964. 

  964. Epoch 10/10
    965. 

  965. 
  1/262 [..............................] - ETA: 0s - loss: 3.6057e-04
 29/262 [==>...........................] - ETA: 0s - loss: 6.9469e-05
 50/262 [====>.........................] - ETA: 0s - loss: 5.3363e-05
 74/262 [=======>......................] - ETA: 0s - loss: 5.8121e-05
105/262 [===========>..................] - ETA: 0s - loss: 5.0963e-05
138/262 [==============>...............] - ETA: 0s - loss: 5.7595e-05
170/262 [==================>...........] - ETA: 0s - loss: 5.9008e-05
201/262 [======================>.......] - ETA: 0s - loss: 5.6498e-05
233/262 [=========================>....] - ETA: 0s - loss: 5.5803e-05
262/262 [==============================] - 0s 2ms/step - loss: 5.6235e-05
    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: 1:37 - loss: 6.7694e-05
 27/262 [==>...........................] - ETA: 0s - loss: 0.0028      
 53/262 [=====>........................] - ETA: 0s - loss: 0.0023
 83/262 [========>.....................] - ETA: 0s - loss: 0.0022
105/262 [===========>..................] - ETA: 0s - loss: 0.0022
129/262 [=============>................] - ETA: 0s - loss: 0.0023
153/262 [================>.............] - ETA: 0s - loss: 0.0022
181/262 [===================>..........] - ETA: 0s - loss: 0.0022
205/262 [======================>.......] - ETA: 0s - loss: 0.0022
228/262 [=========================>....] - ETA: 0s - loss: 0.0021
249/262 [===========================>..] - ETA: 0s - loss: 0.0021
262/262 [==============================] - 1s 2ms/step - loss: 0.0020
    1005. 

  1005. Epoch 2/10
    1006. 

  1006. 
  1/262 [..............................] - ETA: 0s - loss: 0.0023
 29/262 [==>...........................] - ETA: 0s - loss: 0.0018
 57/262 [=====>........................] - ETA: 0s - loss: 0.0018
 79/262 [========>.....................] - ETA: 0s - loss: 0.0018
102/262 [==========>...................] - ETA: 0s - loss: 0.0017
127/262 [=============>................] - ETA: 0s - loss: 0.0017
152/262 [================>.............] - ETA: 0s - loss: 0.0017
176/262 [===================>..........] - ETA: 0s - loss: 0.0016
206/262 [======================>.......] - ETA: 0s - loss: 0.0016
230/262 [=========================>....] - ETA: 0s - loss: 0.0015
258/262 [============================>.] - ETA: 0s - loss: 0.0015
262/262 [==============================] - 1s 2ms/step - loss: 0.0015
    1007. 

  1007. Epoch 3/10
    1008. 

  1008. 
  1/262 [..............................] - ETA: 0s - loss: 3.2462e-04
 28/262 [==>...........................] - ETA: 0s - loss: 0.0011    
 54/262 [=====>........................] - ETA: 0s - loss: 0.0012
 75/262 [=======>......................] - ETA: 0s - loss: 0.0012
100/262 [==========>...................] - ETA: 0s - loss: 0.0012
118/262 [============>.................] - ETA: 0s - loss: 0.0013
144/262 [===============>..............] - ETA: 0s - loss: 0.0012
169/262 [==================>...........] - ETA: 0s - loss: 0.0012
192/262 [====================>.........] - ETA: 0s - loss: 0.0012
216/262 [=======================>......] - ETA: 0s - loss: 0.0011
238/262 [==========================>...] - ETA: 0s - loss: 0.0011
262/262 [==============================] - 1s 2ms/step - loss: 0.0011
    1009. 

  1009. Epoch 4/10
    1010. 

  1010. 
  1/262 [..............................] - ETA: 0s - loss: 9.1576e-04
 26/262 [=>............................] - ETA: 0s - loss: 0.0010    
 52/262 [====>.........................] - ETA: 0s - loss: 9.9016e-04
 74/262 [=======>......................] - ETA: 0s - loss: 0.0010    
 92/262 [=========>....................] - ETA: 0s - loss: 0.0011
125/262 [=============>................] - ETA: 0s - loss: 0.0011
150/262 [================>.............] - ETA: 0s - loss: 0.0010
173/262 [==================>...........] - ETA: 0s - loss: 0.0010
202/262 [======================>.......] - ETA: 0s - loss: 0.0010
231/262 [=========================>....] - ETA: 0s - loss: 9.9047e-04
258/262 [============================>.] - ETA: 0s - loss: 9.7472e-04
262/262 [==============================] - 1s 2ms/step - loss: 9.7165e-04
    1011. 

  1011. Epoch 5/10
    1012. 

  1012. 
  1/262 [..............................] - ETA: 0s - loss: 2.2141e-05
 28/262 [==>...........................] - ETA: 0s - loss: 8.6293e-04
 56/262 [=====>........................] - ETA: 0s - loss: 8.7182e-04
 83/262 [========>.....................] - ETA: 0s - loss: 8.1281e-04
112/262 [===========>..................] - ETA: 0s - loss: 8.1602e-04
139/262 [==============>...............] - ETA: 0s - loss: 7.9791e-04
164/262 [=================>............] - ETA: 0s - loss: 7.7975e-04
193/262 [=====================>........] - ETA: 0s - loss: 7.7522e-04
218/262 [=======================>......] - ETA: 0s - loss: 7.5506e-04
241/262 [==========================>...] - ETA: 0s - loss: 7.6144e-04
262/262 [==============================] - 1s 2ms/step - loss: 7.6657e-04
    1013. 

  1013. Epoch 6/10
    1014. 

  1014. 
  1/262 [..............................] - ETA: 0s - loss: 4.4968e-04
 24/262 [=>............................] - ETA: 0s - loss: 6.1863e-04
 44/262 [====>.........................] - ETA: 0s - loss: 5.8069e-04
 73/262 [=======>......................] - ETA: 0s - loss: 6.6194e-04
 98/262 [==========>...................] - ETA: 0s - loss: 7.0868e-04
121/262 [============>.................] - ETA: 0s - loss: 7.2052e-04
145/262 [===============>..............] - ETA: 0s - loss: 6.9820e-04
172/262 [==================>...........] - ETA: 0s - loss: 6.8423e-04
198/262 [=====================>........] - ETA: 0s - loss: 6.6130e-04
218/262 [=======================>......] - ETA: 0s - loss: 6.5288e-04
244/262 [==========================>...] - ETA: 0s - loss: 6.4141e-04
261/262 [============================>.] - ETA: 0s - loss: 6.3332e-04
262/262 [==============================] - 1s 2ms/step - loss: 6.3273e-04
    1015. 

  1015. Epoch 7/10
    1016. 

  1016. 
  1/262 [..............................] - ETA: 0s - loss: 0.0025
 26/262 [=>............................] - ETA: 0s - loss: 6.1990e-04
 54/262 [=====>........................] - ETA: 0s - loss: 6.2574e-04
 81/262 [========>.....................] - ETA: 0s - loss: 6.5264e-04
101/262 [==========>...................] - ETA: 0s - loss: 6.3218e-04
125/262 [=============>................] - ETA: 0s - loss: 5.9426e-04
148/262 [===============>..............] - ETA: 0s - loss: 5.9007e-04
169/262 [==================>...........] - ETA: 0s - loss: 5.5832e-04
201/262 [======================>.......] - ETA: 0s - loss: 5.3035e-04
225/262 [========================>.....] - ETA: 0s - loss: 5.1951e-04
246/262 [===========================>..] - ETA: 0s - loss: 5.1922e-04
262/262 [==============================] - 1s 2ms/step - loss: 5.2380e-04
    1017. 

  1017. Epoch 8/10
    1018. 

  1018. 
  1/262 [..............................] - ETA: 0s - loss: 0.0011
 29/262 [==>...........................] - ETA: 0s - loss: 4.0572e-04
 56/262 [=====>........................] - ETA: 0s - loss: 4.7797e-04
 87/262 [========>.....................] - ETA: 0s - loss: 4.8057e-04
112/262 [===========>..................] - ETA: 0s - loss: 4.6447e-04
138/262 [==============>...............] - ETA: 0s - loss: 4.5549e-04
162/262 [=================>............] - ETA: 0s - loss: 4.3866e-04
185/262 [====================>.........] - ETA: 0s - loss: 4.2970e-04
210/262 [=======================>......] - ETA: 0s - loss: 4.2038e-04
237/262 [==========================>...] - ETA: 0s - loss: 4.3175e-04
262/262 [==============================] - 1s 2ms/step - loss: 4.3149e-04
    1019. 

  1019. Epoch 9/10
    1020. 

  1020. 
  1/262 [..............................] - ETA: 0s - loss: 1.1872e-05
 29/262 [==>...........................] - ETA: 0s - loss: 3.7763e-04
 55/262 [=====>........................] - ETA: 0s - loss: 3.8161e-04
 82/262 [========>.....................] - ETA: 0s - loss: 3.5945e-04
108/262 [===========>..................] - ETA: 0s - loss: 3.7378e-04
135/262 [==============>...............] - ETA: 0s - loss: 3.5315e-04
166/262 [==================>...........] - ETA: 0s - loss: 3.4211e-04
193/262 [=====================>........] - ETA: 0s - loss: 3.6518e-04
213/262 [=======================>......] - ETA: 0s - loss: 3.6268e-04
239/262 [==========================>...] - ETA: 0s - loss: 3.6198e-04
262/262 [==============================] - 1s 2ms/step - loss: 3.5307e-04
    1021. 

  1021. Epoch 10/10
    1022. 

  1022. 
  1/262 [..............................] - ETA: 0s - loss: 5.1561e-04
 24/262 [=>............................] - ETA: 0s - loss: 2.8636e-04
 46/262 [====>.........................] - ETA: 0s - loss: 2.9410e-04
 69/262 [======>.......................] - ETA: 0s - loss: 2.8958e-04
 95/262 [=========>....................] - ETA: 0s - loss: 2.9948e-04
117/262 [============>.................] - ETA: 0s - loss: 2.9189e-04
149/262 [================>.............] - ETA: 0s - loss: 2.9415e-04
176/262 [===================>..........] - ETA: 0s - loss: 2.9233e-04
198/262 [=====================>........] - ETA: 0s - loss: 2.9495e-04
224/262 [========================>.....] - ETA: 0s - loss: 2.9178e-04
251/262 [===========================>..] - ETA: 0s - loss: 2.9612e-04
262/262 [==============================] - 1s 2ms/step - loss: 2.9676e-04
    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: 48s - loss: 2.5597e-04
 39/262 [===>..........................] - ETA: 0s - loss: 1.9855e-04 
 77/262 [=======>......................] - ETA: 0s - loss: 2.2017e-04
115/262 [============>.................] - ETA: 0s - loss: 2.2716e-04
153/262 [================>.............] - ETA: 0s - loss: 2.3063e-04
190/262 [====================>.........] - ETA: 0s - loss: 2.2840e-04
225/262 [========================>.....] - ETA: 0s - loss: 2.3194e-04
261/262 [============================>.] - ETA: 0s - loss: 2.3360e-04
262/262 [==============================] - 1s 1ms/step - loss: 2.3388e-04
    1062. 

  1062. Epoch 2/10
    1063. 

  1063. 
  1/262 [..............................] - ETA: 0s - loss: 8.2240e-05
 36/262 [===>..........................] - ETA: 0s - loss: 2.7821e-04
 74/262 [=======>......................] - ETA: 0s - loss: 2.1825e-04
113/262 [===========>..................] - ETA: 0s - loss: 2.1364e-04
152/262 [================>.............] - ETA: 0s - loss: 1.9541e-04
191/262 [====================>.........] - ETA: 0s - loss: 1.9336e-04
230/262 [=========================>....] - ETA: 0s - loss: 1.8650e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.8622e-04
    1064. 

  1064. Epoch 3/10
    1065. 

  1065. 
  1/262 [..............................] - ETA: 0s - loss: 1.0388e-04
 32/262 [==>...........................] - ETA: 0s - loss: 1.7326e-04
 66/262 [======>.......................] - ETA: 0s - loss: 1.6205e-04
 99/262 [==========>...................] - ETA: 0s - loss: 1.6895e-04
138/262 [==============>...............] - ETA: 0s - loss: 1.6226e-04
176/262 [===================>..........] - ETA: 0s - loss: 1.5496e-04
213/262 [=======================>......] - ETA: 0s - loss: 1.5386e-04
252/262 [===========================>..] - ETA: 0s - loss: 1.4740e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.4712e-04
    1066. 

  1066. Epoch 4/10
    1067. 

  1067. 
  1/262 [..............................] - ETA: 0s - loss: 2.9039e-04
 40/262 [===>..........................] - ETA: 0s - loss: 1.5346e-04
 79/262 [========>.....................] - ETA: 0s - loss: 1.3413e-04
119/262 [============>.................] - ETA: 0s - loss: 1.2963e-04
158/262 [=================>............] - ETA: 0s - loss: 1.2979e-04
197/262 [=====================>........] - ETA: 0s - loss: 1.2383e-04
235/262 [=========================>....] - ETA: 0s - loss: 1.2011e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.1804e-04
    1068. 

  1068. Epoch 5/10
    1069. 

  1069. 
  1/262 [..............................] - ETA: 0s - loss: 3.1890e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.1221e-04
 77/262 [=======>......................] - ETA: 0s - loss: 1.1112e-04
110/262 [===========>..................] - ETA: 0s - loss: 1.1418e-04
147/262 [===============>..............] - ETA: 0s - loss: 1.0644e-04
183/262 [===================>..........] - ETA: 0s - loss: 1.0394e-04
221/262 [========================>.....] - ETA: 0s - loss: 1.0050e-04
257/262 [============================>.] - ETA: 0s - loss: 9.6814e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.7262e-05
    1070. 

  1070. Epoch 6/10
    1071. 

  1071. 
  1/262 [..............................] - ETA: 0s - loss: 9.4420e-05
 39/262 [===>..........................] - ETA: 0s - loss: 8.8380e-05
 77/262 [=======>......................] - ETA: 0s - loss: 9.0502e-05
116/262 [============>.................] - ETA: 0s - loss: 8.5744e-05
154/262 [================>.............] - ETA: 0s - loss: 8.3019e-05
192/262 [====================>.........] - ETA: 0s - loss: 8.5503e-05
231/262 [=========================>....] - ETA: 0s - loss: 8.3294e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.0301e-05
    1072. 

  1072. Epoch 7/10
    1073. 

  1073. 
  1/262 [..............................] - ETA: 0s - loss: 3.4505e-05
 40/262 [===>..........................] - ETA: 0s - loss: 7.2268e-05
 78/262 [=======>......................] - ETA: 0s - loss: 7.0740e-05
116/262 [============>.................] - ETA: 0s - loss: 7.5369e-05
154/262 [================>.............] - ETA: 0s - loss: 7.4123e-05
193/262 [=====================>........] - ETA: 0s - loss: 6.9901e-05
232/262 [=========================>....] - ETA: 0s - loss: 6.7717e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.6678e-05
    1074. 

  1074. Epoch 8/10
    1075. 

  1075. 
  1/262 [..............................] - ETA: 0s - loss: 7.0583e-05
 40/262 [===>..........................] - ETA: 0s - loss: 5.8487e-05
 78/262 [=======>......................] - ETA: 0s - loss: 5.4933e-05
115/262 [============>.................] - ETA: 0s - loss: 5.7966e-05
154/262 [================>.............] - ETA: 0s - loss: 5.6746e-05
193/262 [=====================>........] - ETA: 0s - loss: 5.6552e-05
234/262 [=========================>....] - ETA: 0s - loss: 5.5191e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.5831e-05
    1076. 

  1076. Epoch 9/10
    1077. 

  1077. 
  1/262 [..............................] - ETA: 0s - loss: 2.3826e-05
  9/262 [>.............................] - ETA: 1s - loss: 3.3001e-05
 24/262 [=>............................] - ETA: 1s - loss: 4.9560e-05
 40/262 [===>..........................] - ETA: 0s - loss: 4.8090e-05
 76/262 [=======>......................] - ETA: 0s - loss: 4.9052e-05
116/262 [============>.................] - ETA: 0s - loss: 4.8655e-05
159/262 [=================>............] - ETA: 0s - loss: 4.5656e-05
201/262 [======================>.......] - ETA: 0s - loss: 4.6683e-05
242/262 [==========================>...] - ETA: 0s - loss: 4.6662e-05
262/262 [==============================] - 0s 2ms/step - loss: 4.6375e-05
    1078. 

  1078. Epoch 10/10
    1079. 

  1079. 
  1/262 [..............................] - ETA: 0s - loss: 3.0729e-05
 41/262 [===>..........................] - ETA: 0s - loss: 4.5849e-05
 80/262 [========>.....................] - ETA: 0s - loss: 3.9873e-05
121/262 [============>.................] - ETA: 0s - loss: 3.7803e-05
161/262 [=================>............] - ETA: 0s - loss: 3.4213e-05
200/262 [=====================>........] - ETA: 0s - loss: 3.5671e-05
238/262 [==========================>...] - ETA: 0s - loss: 3.9359e-05
262/262 [==============================] - 0s 1ms/step - loss: 3.8505e-05
    1080. 

  1080. -> test with GAN.predict
    1081. 

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

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

  1083. GAN f1 score: 1.000
    1084. 

  1084. GAN cohens kappa score: 1.000
    1085. 

  1085. 

  1086. -> test with 'LR'
    1087. 

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

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

  1089. LR f1 score: 1.000
    1090. 

  1090. LR cohens kappa score: 1.000
    1091. 

  1091. LR average precision score: 1.000
    1092. 

  1092. 

  1093. -> test with 'RF'
    1094. 

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

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

  1096. RF f1 score: 1.000
    1097. 

  1097. RF cohens kappa score: 1.000
    1098. 

  1098. 

  1099. -> test with 'GB'
    1100. 

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

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

  1102. GB f1 score: 1.000
    1103. 

  1103. GB cohens kappa score: 1.000
    1104. 

  1104. 

  1105. -> test with 'KNN'
    1106. 

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

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

  1108. KNN f1 score: 0.952
    1109. 

  1109. KNN cohens kappa score: 0.952
    1110. 

  1110. 

  1111. 

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

  1113. -> Reset the GAN
    1114. 

  1114. -> Train generator for synthetic samples
    1115. 

  1115. -> create 2576 synthetic samples
    1116. 

  1116. -> retrain GAN for predict
    1117. 

  1117. Epoch 1/10
    1118. 

  1118. 
  1/262 [..............................] - ETA: 55s - loss: 2.3284e-04
 39/262 [===>..........................] - ETA: 0s - loss: 4.2518e-04 
 79/262 [========>.....................] - ETA: 0s - loss: 3.5836e-04
118/262 [============>.................] - ETA: 0s - loss: 3.9075e-04
148/262 [===============>..............] - ETA: 0s - loss: 3.8671e-04
180/262 [===================>..........] - ETA: 0s - loss: 3.7116e-04
213/262 [=======================>......] - ETA: 0s - loss: 3.5173e-04
253/262 [===========================>..] - ETA: 0s - loss: 3.3868e-04
262/262 [==============================] - 1s 1ms/step - loss: 3.4122e-04
    1119. 

  1119. Epoch 2/10
    1120. 

  1120. 
  1/262 [..............................] - ETA: 0s - loss: 0.0026
 41/262 [===>..........................] - ETA: 0s - loss: 3.5974e-04
 80/262 [========>.....................] - ETA: 0s - loss: 3.4453e-04
117/262 [============>.................] - ETA: 0s - loss: 3.0030e-04
156/262 [================>.............] - ETA: 0s - loss: 2.7767e-04
196/262 [=====================>........] - ETA: 0s - loss: 2.5297e-04
236/262 [==========================>...] - ETA: 0s - loss: 2.7313e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.6435e-04
    1121. 

  1121. Epoch 3/10
    1122. 

  1122. 
  1/262 [..............................] - ETA: 0s - loss: 6.8982e-05
 39/262 [===>..........................] - ETA: 0s - loss: 1.6117e-04
 79/262 [========>.....................] - ETA: 0s - loss: 2.0476e-04
117/262 [============>.................] - ETA: 0s - loss: 2.2543e-04
155/262 [================>.............] - ETA: 0s - loss: 2.2791e-04
194/262 [=====================>........] - ETA: 0s - loss: 2.1947e-04
230/262 [=========================>....] - ETA: 0s - loss: 2.1997e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.1465e-04
    1123. 

  1123. Epoch 4/10
    1124. 

  1124. 
  1/262 [..............................] - ETA: 0s - loss: 1.5049e-04
 39/262 [===>..........................] - ETA: 0s - loss: 2.2881e-04
 75/262 [=======>......................] - ETA: 0s - loss: 2.0184e-04
115/262 [============>.................] - ETA: 0s - loss: 1.8857e-04
155/262 [================>.............] - ETA: 0s - loss: 1.6774e-04
195/262 [=====================>........] - ETA: 0s - loss: 1.5867e-04
233/262 [=========================>....] - ETA: 0s - loss: 1.7392e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.6861e-04
    1125. 

  1125. Epoch 5/10
    1126. 

  1126. 
  1/262 [..............................] - ETA: 0s - loss: 5.6982e-05
 40/262 [===>..........................] - ETA: 0s - loss: 2.4380e-04
 79/262 [========>.....................] - ETA: 0s - loss: 1.8766e-04
118/262 [============>.................] - ETA: 0s - loss: 1.5796e-04
157/262 [================>.............] - ETA: 0s - loss: 1.6265e-04
192/262 [====================>.........] - ETA: 0s - loss: 1.6419e-04
228/262 [=========================>....] - ETA: 0s - loss: 1.4876e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.4356e-04
    1127. 

  1127. Epoch 6/10
    1128. 

  1128. 
  1/262 [..............................] - ETA: 0s - loss: 3.1846e-05
 41/262 [===>..........................] - ETA: 0s - loss: 1.4931e-04
 80/262 [========>.....................] - ETA: 0s - loss: 1.2791e-04
119/262 [============>.................] - ETA: 0s - loss: 1.1954e-04
157/262 [================>.............] - ETA: 0s - loss: 1.2485e-04
197/262 [=====================>........] - ETA: 0s - loss: 1.3020e-04
235/262 [=========================>....] - ETA: 0s - loss: 1.2592e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2723e-04
    1129. 

  1129. Epoch 7/10
    1130. 

  1130. 
  1/262 [..............................] - ETA: 0s - loss: 2.9881e-05
 40/262 [===>..........................] - ETA: 0s - loss: 6.1171e-05
 78/262 [=======>......................] - ETA: 0s - loss: 7.7843e-05
113/262 [===========>..................] - ETA: 0s - loss: 7.9016e-05
151/262 [================>.............] - ETA: 0s - loss: 7.4457e-05
185/262 [====================>.........] - ETA: 0s - loss: 7.5404e-05
217/262 [=======================>......] - ETA: 0s - loss: 8.9924e-05
250/262 [===========================>..] - ETA: 0s - loss: 9.4774e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.4001e-05
    1131. 

  1131. Epoch 8/10
    1132. 

  1132. 
  1/262 [..............................] - ETA: 0s - loss: 5.4229e-04
 41/262 [===>..........................] - ETA: 0s - loss: 1.3791e-04
 79/262 [========>.....................] - ETA: 0s - loss: 1.0890e-04
117/262 [============>.................] - ETA: 0s - loss: 9.6063e-05
157/262 [================>.............] - ETA: 0s - loss: 8.5844e-05
195/262 [=====================>........] - ETA: 0s - loss: 8.8675e-05
234/262 [=========================>....] - ETA: 0s - loss: 8.1486e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.6545e-05
    1133. 

  1133. Epoch 9/10
    1134. 

  1134. 
  1/262 [..............................] - ETA: 0s - loss: 3.0157e-05
 39/262 [===>..........................] - ETA: 0s - loss: 2.5740e-05
 77/262 [=======>......................] - ETA: 0s - loss: 5.1946e-05
114/262 [============>.................] - ETA: 0s - loss: 6.1144e-05
154/262 [================>.............] - ETA: 0s - loss: 6.3819e-05
194/262 [=====================>........] - ETA: 0s - loss: 6.0481e-05
234/262 [=========================>....] - ETA: 0s - loss: 6.5330e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.5115e-05
    1135. 

  1135. Epoch 10/10
    1136. 

  1136. 
  1/262 [..............................] - ETA: 0s - loss: 2.2660e-05
 42/262 [===>..........................] - ETA: 0s - loss: 6.1405e-05
 80/262 [========>.....................] - ETA: 0s - loss: 7.8457e-05
121/262 [============>.................] - ETA: 0s - loss: 7.8066e-05
160/262 [=================>............] - ETA: 0s - loss: 6.5915e-05
201/262 [======================>.......] - ETA: 0s - loss: 6.8020e-05
240/262 [==========================>...] - ETA: 0s - loss: 6.3393e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.0127e-05
    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: 1:05 - loss: 4.4571e-04
 35/262 [===>..........................] - ETA: 0s - loss: 0.0101      
 73/262 [=======>......................] - ETA: 0s - loss: 0.0087
104/262 [==========>...................] - ETA: 0s - loss: 0.0102
144/262 [===============>..............] - ETA: 0s - loss: 0.0100
183/262 [===================>..........] - ETA: 0s - loss: 0.0100
219/262 [========================>.....] - ETA: 0s - loss: 0.0098
257/262 [============================>.] - ETA: 0s - loss: 0.0096
262/262 [==============================] - 1s 1ms/step - loss: 0.0095
    1180. 

  1180. Epoch 2/10
    1181. 

  1181. 
  1/262 [..............................] - ETA: 0s - loss: 0.0203
 40/262 [===>..........................] - ETA: 0s - loss: 0.0097
 79/262 [========>.....................] - ETA: 0s - loss: 0.0089
118/262 [============>.................] - ETA: 0s - loss: 0.0089
157/262 [================>.............] - ETA: 0s - loss: 0.0078
196/262 [=====================>........] - ETA: 0s - loss: 0.0075
235/262 [=========================>....] - ETA: 0s - loss: 0.0082
262/262 [==============================] - 0s 1ms/step - loss: 0.0082
    1182. 

  1182. Epoch 3/10
    1183. 

  1183. 
  1/262 [..............................] - ETA: 0s - loss: 1.0827e-04
 39/262 [===>..........................] - ETA: 0s - loss: 0.0068    
 77/262 [=======>......................] - ETA: 0s - loss: 0.0061
116/262 [============>.................] - ETA: 0s - loss: 0.0068
152/262 [================>.............] - ETA: 0s - loss: 0.0072
190/262 [====================>.........] - ETA: 0s - loss: 0.0070
227/262 [========================>.....] - ETA: 0s - loss: 0.0071
262/262 [==============================] - 0s 1ms/step - loss: 0.0070
    1184. 

  1184. Epoch 4/10
    1185. 

  1185. 
  1/262 [..............................] - ETA: 0s - loss: 0.0295
 40/262 [===>..........................] - ETA: 0s - loss: 0.0089
 79/262 [========>.....................] - ETA: 0s - loss: 0.0098
118/262 [============>.................] - ETA: 0s - loss: 0.0097
156/262 [================>.............] - ETA: 0s - loss: 0.0088
193/262 [=====================>........] - ETA: 0s - loss: 0.0080
232/262 [=========================>....] - ETA: 0s - loss: 0.0078
262/262 [==============================] - 0s 1ms/step - loss: 0.0075
    1186. 

  1186. Epoch 5/10
    1187. 

  1187. 
  1/262 [..............................] - ETA: 0s - loss: 0.0131
 40/262 [===>..........................] - ETA: 0s - loss: 0.0060
 77/262 [=======>......................] - ETA: 0s - loss: 0.0055
115/262 [============>.................] - ETA: 0s - loss: 0.0051
154/262 [================>.............] - ETA: 0s - loss: 0.0054
192/262 [====================>.........] - ETA: 0s - loss: 0.0050
231/262 [=========================>....] - ETA: 0s - loss: 0.0050
262/262 [==============================] - 0s 1ms/step - loss: 0.0053
    1188. 

  1188. Epoch 6/10
    1189. 

  1189. 
  1/262 [..............................] - ETA: 0s - loss: 4.2111e-05
 39/262 [===>..........................] - ETA: 0s - loss: 0.0062    
 75/262 [=======>......................] - ETA: 0s - loss: 0.0049
113/262 [===========>..................] - ETA: 0s - loss: 0.0050
151/262 [================>.............] - ETA: 0s - loss: 0.0050
184/262 [====================>.........] - ETA: 0s - loss: 0.0049
219/262 [========================>.....] - ETA: 0s - loss: 0.0047
258/262 [============================>.] - ETA: 0s - loss: 0.0044
262/262 [==============================] - 0s 1ms/step - loss: 0.0044
    1190. 

  1190. Epoch 7/10
    1191. 

  1191. 
  1/262 [..............................] - ETA: 0s - loss: 0.0091
 36/262 [===>..........................] - ETA: 0s - loss: 0.0033
 67/262 [======>.......................] - ETA: 0s - loss: 0.0040
104/262 [==========>...................] - ETA: 0s - loss: 0.0038
138/262 [==============>...............] - ETA: 0s - loss: 0.0042
175/262 [===================>..........] - ETA: 0s - loss: 0.0042
214/262 [=======================>......] - ETA: 0s - loss: 0.0039
252/262 [===========================>..] - ETA: 0s - loss: 0.0036
262/262 [==============================] - 0s 1ms/step - loss: 0.0036
    1192. 

  1192. Epoch 8/10
    1193. 

  1193. 
  1/262 [..............................] - ETA: 0s - loss: 3.7568e-04
 40/262 [===>..........................] - ETA: 0s - loss: 0.0027    
 79/262 [========>.....................] - ETA: 0s - loss: 0.0033
117/262 [============>.................] - ETA: 0s - loss: 0.0031
156/262 [================>.............] - ETA: 0s - loss: 0.0026
195/262 [=====================>........] - ETA: 0s - loss: 0.0028
233/262 [=========================>....] - ETA: 0s - loss: 0.0031
262/262 [==============================] - 0s 1ms/step - loss: 0.0030
    1194. 

  1194. Epoch 9/10
    1195. 

  1195. 
  1/262 [..............................] - ETA: 0s - loss: 0.0061
 38/262 [===>..........................] - ETA: 0s - loss: 0.0029
 77/262 [=======>......................] - ETA: 0s - loss: 0.0030
114/262 [============>.................] - ETA: 0s - loss: 0.0030
152/262 [================>.............] - ETA: 0s - loss: 0.0029
190/262 [====================>.........] - ETA: 0s - loss: 0.0026
230/262 [=========================>....] - ETA: 0s - loss: 0.0025
262/262 [==============================] - 0s 1ms/step - loss: 0.0024
    1196. 

  1196. Epoch 10/10
    1197. 

  1197. 
  1/262 [..............................] - ETA: 0s - loss: 6.2831e-05
 41/262 [===>..........................] - ETA: 0s - loss: 0.0023    
 82/262 [========>.....................] - ETA: 0s - loss: 0.0020
123/262 [=============>................] - ETA: 0s - loss: 0.0020
163/262 [=================>............] - ETA: 0s - loss: 0.0018
200/262 [=====================>........] - ETA: 0s - loss: 0.0019
237/262 [==========================>...] - ETA: 0s - loss: 0.0019
262/262 [==============================] - 0s 1ms/step - loss: 0.0020
    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: 56s - loss: 3.2027e-04
 39/262 [===>..........................] - ETA: 0s - loss: 3.2491e-04 
 78/262 [=======>......................] - ETA: 0s - loss: 2.8673e-04
118/262 [============>.................] - ETA: 0s - loss: 2.5154e-04
158/262 [=================>............] - ETA: 0s - loss: 2.3744e-04
192/262 [====================>.........] - ETA: 0s - loss: 2.5767e-04
225/262 [========================>.....] - ETA: 0s - loss: 2.7559e-04
261/262 [============================>.] - ETA: 0s - loss: 2.7231e-04
262/262 [==============================] - 1s 1ms/step - loss: 2.7206e-04
    1237. 

  1237. Epoch 2/10
    1238. 

  1238. 
  1/262 [..............................] - ETA: 0s - loss: 6.0408e-05
 37/262 [===>..........................] - ETA: 0s - loss: 2.3529e-04
 73/262 [=======>......................] - ETA: 0s - loss: 2.6328e-04
 96/262 [=========>....................] - ETA: 0s - loss: 2.3973e-04
121/262 [============>.................] - ETA: 0s - loss: 2.3175e-04
155/262 [================>.............] - ETA: 0s - loss: 2.2731e-04
191/262 [====================>.........] - ETA: 0s - loss: 2.1686e-04
227/262 [========================>.....] - ETA: 0s - loss: 2.1485e-04
262/262 [==============================] - 0s 2ms/step - loss: 2.0934e-04
    1239. 

  1239. Epoch 3/10
    1240. 

  1240. 
  1/262 [..............................] - ETA: 0s - loss: 1.0551e-04
 37/262 [===>..........................] - ETA: 0s - loss: 1.9315e-04
 69/262 [======>.......................] - ETA: 0s - loss: 1.7854e-04
108/262 [===========>..................] - ETA: 0s - loss: 1.9067e-04
145/262 [===============>..............] - ETA: 0s - loss: 1.6937e-04
184/262 [====================>.........] - ETA: 0s - loss: 1.7651e-04
223/262 [========================>.....] - ETA: 0s - loss: 1.7358e-04
262/262 [==============================] - ETA: 0s - loss: 1.6830e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.6830e-04
    1241. 

  1241. Epoch 4/10
    1242. 

  1242. 
  1/262 [..............................] - ETA: 0s - loss: 3.1226e-05
 32/262 [==>...........................] - ETA: 0s - loss: 2.0620e-04
 71/262 [=======>......................] - ETA: 0s - loss: 1.7354e-04
110/262 [===========>..................] - ETA: 0s - loss: 1.5386e-04
149/262 [================>.............] - ETA: 0s - loss: 1.5760e-04
181/262 [===================>..........] - ETA: 0s - loss: 1.5460e-04
217/262 [=======================>......] - ETA: 0s - loss: 1.4671e-04
247/262 [===========================>..] - ETA: 0s - loss: 1.4190e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.3676e-04
    1243. 

  1243. Epoch 5/10
    1244. 

  1244. 
  1/262 [..............................] - ETA: 0s - loss: 7.6821e-05
 36/262 [===>..........................] - ETA: 0s - loss: 1.5691e-04
 63/262 [======>.......................] - ETA: 0s - loss: 1.2736e-04
 99/262 [==========>...................] - ETA: 0s - loss: 1.1817e-04
127/262 [=============>................] - ETA: 0s - loss: 1.1486e-04
165/262 [=================>............] - ETA: 0s - loss: 1.0961e-04
203/262 [======================>.......] - ETA: 0s - loss: 1.0466e-04
242/262 [==========================>...] - ETA: 0s - loss: 1.0187e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.0921e-04
    1245. 

  1245. Epoch 6/10
    1246. 

  1246. 
  1/262 [..............................] - ETA: 0s - loss: 3.4304e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.0211e-04
 79/262 [========>.....................] - ETA: 0s - loss: 1.0878e-04
117/262 [============>.................] - ETA: 0s - loss: 9.6566e-05
155/262 [================>.............] - ETA: 0s - loss: 9.7837e-05
193/262 [=====================>........] - ETA: 0s - loss: 9.3902e-05
232/262 [=========================>....] - ETA: 0s - loss: 9.2538e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.1760e-05
    1247. 

  1247. Epoch 7/10
    1248. 

  1248. 
  1/262 [..............................] - ETA: 0s - loss: 4.4668e-04
 34/262 [==>...........................] - ETA: 0s - loss: 8.8941e-05
 68/262 [======>.......................] - ETA: 0s - loss: 9.1188e-05
104/262 [==========>...................] - ETA: 0s - loss: 8.0009e-05
142/262 [===============>..............] - ETA: 0s - loss: 7.8583e-05
179/262 [===================>..........] - ETA: 0s - loss: 7.3891e-05
216/262 [=======================>......] - ETA: 0s - loss: 7.0137e-05
252/262 [===========================>..] - ETA: 0s - loss: 7.1171e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.1163e-05
    1249. 

  1249. Epoch 8/10
    1250. 

  1250. 
  1/262 [..............................] - ETA: 0s - loss: 1.0882e-05
 29/262 [==>...........................] - ETA: 0s - loss: 5.1951e-05
 60/262 [=====>........................] - ETA: 0s - loss: 5.6420e-05
 94/262 [=========>....................] - ETA: 0s - loss: 5.9064e-05
126/262 [=============>................] - ETA: 0s - loss: 6.5057e-05
160/262 [=================>............] - ETA: 0s - loss: 6.3239e-05
184/262 [====================>.........] - ETA: 0s - loss: 6.1140e-05
202/262 [======================>.......] - ETA: 0s - loss: 5.9658e-05
235/262 [=========================>....] - ETA: 0s - loss: 5.9869e-05
262/262 [==============================] - 0s 2ms/step - loss: 6.0266e-05
    1251. 

  1251. Epoch 9/10
    1252. 

  1252. 
  1/262 [..............................] - ETA: 0s - loss: 2.8789e-05
 37/262 [===>..........................] - ETA: 0s - loss: 3.8842e-05
 72/262 [=======>......................] - ETA: 0s - loss: 3.8486e-05
 99/262 [==========>...................] - ETA: 0s - loss: 4.8180e-05
116/262 [============>.................] - ETA: 0s - loss: 5.2834e-05
145/262 [===============>..............] - ETA: 0s - loss: 5.6471e-05
178/262 [===================>..........] - ETA: 0s - loss: 5.6561e-05
211/262 [=======================>......] - ETA: 0s - loss: 5.2883e-05
244/262 [==========================>...] - ETA: 0s - loss: 5.0061e-05
262/262 [==============================] - 0s 2ms/step - loss: 4.9259e-05
    1253. 

  1253. Epoch 10/10
    1254. 

  1254. 
  1/262 [..............................] - ETA: 0s - loss: 3.7927e-05
 31/262 [==>...........................] - ETA: 0s - loss: 3.9193e-05
 63/262 [======>.......................] - ETA: 0s - loss: 3.9488e-05
 96/262 [=========>....................] - ETA: 0s - loss: 4.1136e-05
128/262 [=============>................] - ETA: 0s - loss: 3.9555e-05
161/262 [=================>............] - ETA: 0s - loss: 3.6912e-05
198/262 [=====================>........] - ETA: 0s - loss: 4.0647e-05
235/262 [=========================>....] - ETA: 0s - loss: 4.2975e-05
262/262 [==============================] - 0s 2ms/step - loss: 4.2605e-05
    1255. 

  1255. -> test with GAN.predict
    1256. 

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

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

  1258. GAN f1 score: 1.000
    1259. 

  1259. GAN cohens kappa score: 1.000
    1260. 

  1260. 

  1261. -> test with 'LR'
    1262. 

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

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

  1264. LR f1 score: 1.000
    1265. 

  1265. LR cohens kappa score: 1.000
    1266. 

  1266. LR average precision score: 1.000
    1267. 

  1267. 

  1268. -> test with 'RF'
    1269. 

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

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

  1271. RF f1 score: 1.000
    1272. 

  1272. RF cohens kappa score: 1.000
    1273. 

  1273. 

  1274. -> test with 'GB'
    1275. 

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

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

  1277. GB f1 score: 1.000
    1278. 

  1278. GB cohens kappa score: 1.000
    1279. 

  1279. 

  1280. -> test with 'KNN'
    1281. 

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

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

  1283. KNN f1 score: 1.000
    1284. 

  1284. KNN cohens kappa score: 1.000
    1285. 

  1285. 

  1286. 

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

  1288. -> Reset the GAN
    1289. 

  1289. -> Train generator for synthetic samples
    1290. 

  1290. -> create 2574 synthetic samples
    1291. 

  1291. -> retrain GAN for predict
    1292. 

  1292. Epoch 1/10
    1293. 

  1293. 
  1/262 [..............................] - ETA: 50s - loss: 2.8557e-04
 36/262 [===>..........................] - ETA: 0s - loss: 3.8174e-04 
 70/262 [=======>......................] - ETA: 0s - loss: 3.0736e-04
102/262 [==========>...................] - ETA: 0s - loss: 2.7571e-04
140/262 [===============>..............] - ETA: 0s - loss: 2.6323e-04
175/262 [===================>..........] - ETA: 0s - loss: 2.6395e-04
209/262 [======================>.......] - ETA: 0s - loss: 2.5362e-04
240/262 [==========================>...] - ETA: 0s - loss: 2.4396e-04
262/262 [==============================] - 1s 1ms/step - loss: 2.4261e-04
    1294. 

  1294. Epoch 2/10
    1295. 

  1295. 
  1/262 [..............................] - ETA: 0s - loss: 1.2464e-04
 33/262 [==>...........................] - ETA: 0s - loss: 1.9118e-04
 68/262 [======>.......................] - ETA: 0s - loss: 1.9227e-04
102/262 [==========>...................] - ETA: 0s - loss: 1.7869e-04
136/262 [==============>...............] - ETA: 0s - loss: 1.7638e-04
165/262 [=================>............] - ETA: 0s - loss: 1.7136e-04
193/262 [=====================>........] - ETA: 0s - loss: 1.6611e-04
217/262 [=======================>......] - ETA: 0s - loss: 1.8999e-04
244/262 [==========================>...] - ETA: 0s - loss: 1.9692e-04
262/262 [==============================] - 0s 2ms/step - loss: 1.9425e-04
    1296. 

  1296. Epoch 3/10
    1297. 

  1297. 
  1/262 [..............................] - ETA: 0s - loss: 1.0588e-04
 35/262 [===>..........................] - ETA: 0s - loss: 1.4058e-04
 69/262 [======>.......................] - ETA: 0s - loss: 1.5351e-04
102/262 [==========>...................] - ETA: 0s - loss: 1.4857e-04
137/262 [==============>...............] - ETA: 0s - loss: 1.6396e-04
171/262 [==================>...........] - ETA: 0s - loss: 1.6293e-04
208/262 [======================>.......] - ETA: 0s - loss: 1.7583e-04
242/262 [==========================>...] - ETA: 0s - loss: 1.6951e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.6910e-04
    1298. 

  1298. Epoch 4/10
    1299. 

  1299. 
  1/262 [..............................] - ETA: 0s - loss: 1.3518e-04
 40/262 [===>..........................] - ETA: 0s - loss: 1.3628e-04
 73/262 [=======>......................] - ETA: 0s - loss: 1.2116e-04
108/262 [===========>..................] - ETA: 0s - loss: 1.3668e-04
141/262 [===============>..............] - ETA: 0s - loss: 1.5467e-04
176/262 [===================>..........] - ETA: 0s - loss: 1.6118e-04
209/262 [======================>.......] - ETA: 0s - loss: 1.5665e-04
242/262 [==========================>...] - ETA: 0s - loss: 1.4837e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.4554e-04
    1300. 

  1300. Epoch 5/10
    1301. 

  1301. 
  1/262 [..............................] - ETA: 0s - loss: 1.1038e-04
 36/262 [===>..........................] - ETA: 0s - loss: 1.0066e-04
 73/262 [=======>......................] - ETA: 0s - loss: 9.3062e-05
111/262 [===========>..................] - ETA: 0s - loss: 1.1067e-04
144/262 [===============>..............] - ETA: 0s - loss: 1.0790e-04
178/262 [===================>..........] - ETA: 0s - loss: 1.4160e-04
214/262 [=======================>......] - ETA: 0s - loss: 1.3246e-04
250/262 [===========================>..] - ETA: 0s - loss: 1.2589e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2410e-04
    1302. 

  1302. Epoch 6/10
    1303. 

  1303. 
  1/262 [..............................] - ETA: 0s - loss: 8.3549e-05
 36/262 [===>..........................] - ETA: 0s - loss: 8.0684e-05
 70/262 [=======>......................] - ETA: 0s - loss: 7.5072e-05
103/262 [==========>...................] - ETA: 0s - loss: 7.9094e-05
141/262 [===============>..............] - ETA: 0s - loss: 7.7302e-05
176/262 [===================>..........] - ETA: 0s - loss: 9.2776e-05
213/262 [=======================>......] - ETA: 0s - loss: 9.0803e-05
247/262 [===========================>..] - ETA: 0s - loss: 8.7718e-05
262/262 [==============================] - 0s 1ms/step - loss: 1.0277e-04
    1304. 

  1304. Epoch 7/10
    1305. 

  1305. 
  1/262 [..............................] - ETA: 0s - loss: 4.7615e-05
 34/262 [==>...........................] - ETA: 0s - loss: 7.9894e-05
 68/262 [======>.......................] - ETA: 0s - loss: 1.0697e-04
101/262 [==========>...................] - ETA: 0s - loss: 1.0952e-04
135/262 [==============>...............] - ETA: 0s - loss: 9.7987e-05
166/262 [==================>...........] - ETA: 0s - loss: 9.0636e-05
198/262 [=====================>........] - ETA: 0s - loss: 8.7417e-05
233/262 [=========================>....] - ETA: 0s - loss: 8.3697e-05
262/262 [==============================] - 0s 2ms/step - loss: 8.1270e-05
    1306. 

  1306. Epoch 8/10
    1307. 

  1307. 
  1/262 [..............................] - ETA: 0s - loss: 2.6137e-05
 34/262 [==>...........................] - ETA: 0s - loss: 6.1406e-05
 69/262 [======>.......................] - ETA: 0s - loss: 8.3152e-05
 98/262 [==========>...................] - ETA: 0s - loss: 7.3927e-05
125/262 [=============>................] - ETA: 0s - loss: 6.7551e-05
159/262 [=================>............] - ETA: 0s - loss: 7.9651e-05
191/262 [====================>.........] - ETA: 0s - loss: 7.8204e-05
225/262 [========================>.....] - ETA: 0s - loss: 7.6888e-05
259/262 [============================>.] - ETA: 0s - loss: 7.2064e-05
262/262 [==============================] - 0s 2ms/step - loss: 7.1733e-05
    1308. 

  1308. Epoch 9/10
    1309. 

  1309. 
  1/262 [..............................] - ETA: 0s - loss: 4.0233e-05
 33/262 [==>...........................] - ETA: 0s - loss: 3.7203e-05
 69/262 [======>.......................] - ETA: 0s - loss: 4.0261e-05
106/262 [===========>..................] - ETA: 0s - loss: 5.6172e-05
140/262 [===============>..............] - ETA: 0s - loss: 5.0740e-05
173/262 [==================>...........] - ETA: 0s - loss: 5.2661e-05
211/262 [=======================>......] - ETA: 0s - loss: 5.4009e-05
247/262 [===========================>..] - ETA: 0s - loss: 5.2659e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.9786e-05
    1310. 

  1310. Epoch 10/10
    1311. 

  1311. 
  1/262 [..............................] - ETA: 0s - loss: 4.2753e-05
 39/262 [===>..........................] - ETA: 0s - loss: 1.8951e-04
 73/262 [=======>......................] - ETA: 0s - loss: 1.2468e-04
107/262 [===========>..................] - ETA: 0s - loss: 9.9063e-05
140/262 [===============>..............] - ETA: 0s - loss: 9.5499e-05
175/262 [===================>..........] - ETA: 0s - loss: 8.2320e-05
210/262 [=======================>......] - ETA: 0s - loss: 7.4545e-05
245/262 [===========================>..] - ETA: 0s - loss: 6.7844e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.5585e-05
    1312. 

  1312. -> test with GAN.predict
    1313. 

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

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

  1315. GAN f1 score: 1.000
    1316. 

  1316. GAN cohens kappa score: 1.000
    1317. 

  1317. 

  1318. -> test with 'LR'
    1319. 

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

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

  1321. LR f1 score: 1.000
    1322. 

  1322. LR cohens kappa score: 1.000
    1323. 

  1323. LR average precision score: 1.000
    1324. 

  1324. 

  1325. -> test with 'RF'
    1326. 

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

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

  1328. RF f1 score: 1.000
    1329. 

  1329. RF cohens kappa score: 1.000
    1330. 

  1330. 

  1331. -> test with 'GB'
    1332. 

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

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

  1334. GB f1 score: 1.000
    1335. 

  1335. GB cohens kappa score: 1.000
    1336. 

  1336. 

  1337. -> test with 'KNN'
    1338. 

  1338. KNN tn, fp: 651, 3
    1339. 

  1339. KNN fn, tp: 1, 9
    1340. 

  1340. KNN f1 score: 0.818
    1341. 

  1341. KNN cohens kappa score: 0.815
    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: 46s - loss: 3.4450e-04
 40/262 [===>..........................] - ETA: 0s - loss: 3.3857e-04 
 80/262 [========>.....................] - ETA: 0s - loss: 4.2047e-04
119/262 [============>.................] - ETA: 0s - loss: 3.8365e-04
152/262 [================>.............] - ETA: 0s - loss: 3.6770e-04
187/262 [====================>.........] - ETA: 0s - loss: 3.6125e-04
224/262 [========================>.....] - ETA: 0s - loss: 3.4562e-04
262/262 [==============================] - 1s 1ms/step - loss: 3.3090e-04
    1351. 

  1351. Epoch 2/10
    1352. 

  1352. 
  1/262 [..............................] - ETA: 0s - loss: 1.6990e-04
 41/262 [===>..........................] - ETA: 0s - loss: 2.6235e-04
 80/262 [========>.....................] - ETA: 0s - loss: 2.7132e-04
121/262 [============>.................] - ETA: 0s - loss: 2.6697e-04
159/262 [=================>............] - ETA: 0s - loss: 2.6345e-04
190/262 [====================>.........] - ETA: 0s - loss: 2.7361e-04
230/262 [=========================>....] - ETA: 0s - loss: 2.6341e-04
262/262 [==============================] - 0s 1ms/step - loss: 2.5669e-04
    1353. 

  1353. Epoch 3/10
    1354. 

  1354. 
  1/262 [..............................] - ETA: 0s - loss: 7.1717e-05
 40/262 [===>..........................] - ETA: 0s - loss: 2.6043e-04
 76/262 [=======>......................] - ETA: 0s - loss: 2.2910e-04
111/262 [===========>..................] - ETA: 0s - loss: 2.1445e-04
148/262 [===============>..............] - ETA: 0s - loss: 2.0443e-04
181/262 [===================>..........] - ETA: 0s - loss: 2.0564e-04
219/262 [========================>.....] - ETA: 0s - loss: 1.9818e-04
257/262 [============================>.] - ETA: 0s - loss: 1.9573e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.9765e-04
    1355. 

  1355. Epoch 4/10
    1356. 

  1356. 
  1/262 [..............................] - ETA: 0s - loss: 2.3738e-04
 37/262 [===>..........................] - ETA: 0s - loss: 1.6530e-04
 77/262 [=======>......................] - ETA: 0s - loss: 1.9402e-04
117/262 [============>.................] - ETA: 0s - loss: 1.7231e-04
153/262 [================>.............] - ETA: 0s - loss: 1.7441e-04
193/262 [=====================>........] - ETA: 0s - loss: 1.6430e-04
233/262 [=========================>....] - ETA: 0s - loss: 1.5925e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.5434e-04
    1357. 

  1357. Epoch 5/10
    1358. 

  1358. 
  1/262 [..............................] - ETA: 0s - loss: 4.7547e-05
 40/262 [===>..........................] - ETA: 0s - loss: 1.5536e-04
 81/262 [========>.....................] - ETA: 0s - loss: 1.3316e-04
120/262 [============>.................] - ETA: 0s - loss: 1.2633e-04
160/262 [=================>............] - ETA: 0s - loss: 1.2299e-04
200/262 [=====================>........] - ETA: 0s - loss: 1.1794e-04
238/262 [==========================>...] - ETA: 0s - loss: 1.1908e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2276e-04
    1359. 

  1359. Epoch 6/10
    1360. 

  1360. 
  1/262 [..............................] - ETA: 0s - loss: 5.6897e-05
 41/262 [===>..........................] - ETA: 0s - loss: 1.0027e-04
 82/262 [========>.....................] - ETA: 0s - loss: 9.3824e-05
122/262 [============>.................] - ETA: 0s - loss: 9.9658e-05
161/262 [=================>............] - ETA: 0s - loss: 9.9891e-05
200/262 [=====================>........] - ETA: 0s - loss: 9.8677e-05
240/262 [==========================>...] - ETA: 0s - loss: 9.7038e-05
262/262 [==============================] - 0s 1ms/step - loss: 9.8936e-05
    1361. 

  1361. Epoch 7/10
    1362. 

  1362. 
  1/262 [..............................] - ETA: 0s - loss: 6.1101e-05
 38/262 [===>..........................] - ETA: 0s - loss: 9.0800e-05
 73/262 [=======>......................] - ETA: 0s - loss: 7.8088e-05
112/262 [===========>..................] - ETA: 0s - loss: 8.4579e-05
146/262 [===============>..............] - ETA: 0s - loss: 8.2256e-05
177/262 [===================>..........] - ETA: 0s - loss: 8.4722e-05
209/262 [======================>.......] - ETA: 0s - loss: 8.4914e-05
238/262 [==========================>...] - ETA: 0s - loss: 8.1998e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.9371e-05
    1363. 

  1363. Epoch 8/10
    1364. 

  1364. 
  1/262 [..............................] - ETA: 0s - loss: 5.0439e-05
 37/262 [===>..........................] - ETA: 0s - loss: 5.8224e-05
 73/262 [=======>......................] - ETA: 0s - loss: 6.8112e-05
109/262 [===========>..................] - ETA: 0s - loss: 6.7614e-05
146/262 [===============>..............] - ETA: 0s - loss: 6.6887e-05
182/262 [===================>..........] - ETA: 0s - loss: 6.2692e-05
217/262 [=======================>......] - ETA: 0s - loss: 6.2967e-05
254/262 [============================>.] - ETA: 0s - loss: 6.2927e-05
262/262 [==============================] - 0s 1ms/step - loss: 6.3935e-05
    1365. 

  1365. Epoch 9/10
    1366. 

  1366. 
  1/262 [..............................] - ETA: 0s - loss: 2.7432e-05
 33/262 [==>...........................] - ETA: 0s - loss: 6.3678e-05
 66/262 [======>.......................] - ETA: 0s - loss: 5.7926e-05
 98/262 [==========>...................] - ETA: 0s - loss: 5.6847e-05
127/262 [=============>................] - ETA: 0s - loss: 5.7109e-05
160/262 [=================>............] - ETA: 0s - loss: 5.6835e-05
198/262 [=====================>........] - ETA: 0s - loss: 5.5375e-05
234/262 [=========================>....] - ETA: 0s - loss: 5.3443e-05
262/262 [==============================] - 0s 2ms/step - loss: 5.2495e-05
    1367. 

  1367. Epoch 10/10
    1368. 

  1368. 
  1/262 [..............................] - ETA: 0s - loss: 6.0456e-05
 33/262 [==>...........................] - ETA: 0s - loss: 3.7199e-05
 68/262 [======>.......................] - ETA: 0s - loss: 4.3838e-05
 97/262 [==========>...................] - ETA: 0s - loss: 4.5951e-05
133/262 [==============>...............] - ETA: 0s - loss: 4.5596e-05
170/262 [==================>...........] - ETA: 0s - loss: 4.5936e-05
206/262 [======================>.......] - ETA: 0s - loss: 4.4573e-05
240/262 [==========================>...] - ETA: 0s - loss: 4.3940e-05
262/262 [==============================] - 0s 1ms/step - loss: 4.3328e-05
    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: 43s - loss: 5.0154e-04
 42/262 [===>..........................] - ETA: 0s - loss: 3.0932e-04 
 83/262 [========>.....................] - ETA: 0s - loss: 3.9349e-04
123/262 [=============>................] - ETA: 0s - loss: 3.1805e-04
163/262 [=================>............] - ETA: 0s - loss: 2.8539e-04
196/262 [=====================>........] - ETA: 0s - loss: 2.5869e-04
236/262 [==========================>...] - ETA: 0s - loss: 2.6122e-04
262/262 [==============================] - 1s 1ms/step - loss: 2.5008e-04
    1408. 

  1408. Epoch 2/10
    1409. 

  1409. 
  1/262 [..............................] - ETA: 0s - loss: 1.6480e-04
 35/262 [===>..........................] - ETA: 0s - loss: 1.2911e-04
 72/262 [=======>......................] - ETA: 0s - loss: 1.6155e-04
111/262 [===========>..................] - ETA: 0s - loss: 1.7012e-04
150/262 [================>.............] - ETA: 0s - loss: 2.3658e-04
190/262 [====================>.........] - ETA: 0s - loss: 2.1438e-04
230/262 [=========================>....] - ETA: 0s - loss: 1.9716e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.8459e-04
    1410. 

  1410. Epoch 3/10
    1411. 

  1411. 
  1/262 [..............................] - ETA: 0s - loss: 7.9659e-05
 39/262 [===>..........................] - ETA: 0s - loss: 1.1093e-04
 79/262 [========>.....................] - ETA: 0s - loss: 1.1474e-04
116/262 [============>.................] - ETA: 0s - loss: 1.0736e-04
156/262 [================>.............] - ETA: 0s - loss: 1.0591e-04
197/262 [=====================>........] - ETA: 0s - loss: 1.1151e-04
238/262 [==========================>...] - ETA: 0s - loss: 1.5496e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.5535e-04
    1412. 

  1412. Epoch 4/10
    1413. 

  1413. 
  1/262 [..............................] - ETA: 0s - loss: 1.0993e-04
 42/262 [===>..........................] - ETA: 0s - loss: 2.4940e-04
 82/262 [========>.....................] - ETA: 0s - loss: 1.9824e-04
123/262 [=============>................] - ETA: 0s - loss: 1.6701e-04
163/262 [=================>............] - ETA: 0s - loss: 1.4338e-04
202/262 [======================>.......] - ETA: 0s - loss: 1.3774e-04
242/262 [==========================>...] - ETA: 0s - loss: 1.3154e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2828e-04
    1414. 

  1414. Epoch 5/10
    1415. 

  1415. 
  1/262 [..............................] - ETA: 0s - loss: 4.6880e-05
 41/262 [===>..........................] - ETA: 0s - loss: 7.8328e-05
 80/262 [========>.....................] - ETA: 0s - loss: 7.2141e-05
119/262 [============>.................] - ETA: 0s - loss: 7.1252e-05
159/262 [=================>............] - ETA: 0s - loss: 1.3566e-04
199/262 [=====================>........] - ETA: 0s - loss: 1.3655e-04
239/262 [==========================>...] - ETA: 0s - loss: 1.3256e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.2787e-04
    1416. 

  1416. Epoch 6/10
    1417. 

  1417. 
  1/262 [..............................] - ETA: 0s - loss: 3.7445e-05
 38/262 [===>..........................] - ETA: 0s - loss: 6.6479e-05
 77/262 [=======>......................] - ETA: 0s - loss: 6.3678e-05
115/262 [============>.................] - ETA: 0s - loss: 1.1445e-04
155/262 [================>.............] - ETA: 0s - loss: 1.3690e-04
192/262 [====================>.........] - ETA: 0s - loss: 1.2170e-04
228/262 [=========================>....] - ETA: 0s - loss: 1.2231e-04
261/262 [============================>.] - ETA: 0s - loss: 1.1301e-04
262/262 [==============================] - 0s 1ms/step - loss: 1.1279e-04
    1418. 

  1418. Epoch 7/10
    1419. 

  1419. 
  1/262 [..............................] - ETA: 0s - loss: 3.5097e-05
 36/262 [===>..........................] - ETA: 0s - loss: 1.8430e-04
 72/262 [=======>......................] - ETA: 0s - loss: 1.5655e-04
107/262 [===========>..................] - ETA: 0s - loss: 1.2159e-04
139/262 [==============>...............] - ETA: 0s - loss: 1.0362e-04
173/262 [==================>...........] - ETA: 0s - loss: 9.1022e-05
209/262 [======================>.......] - ETA: 0s - loss: 8.5055e-05
243/262 [==========================>...] - ETA: 0s - loss: 8.0037e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.7895e-05
    1420. 

  1420. Epoch 8/10
    1421. 

  1421. 
  1/262 [..............................] - ETA: 0s - loss: 3.8865e-05
 36/262 [===>..........................] - ETA: 0s - loss: 3.6207e-05
 72/262 [=======>......................] - ETA: 0s - loss: 4.0547e-05
112/262 [===========>..................] - ETA: 0s - loss: 4.4061e-05
152/262 [================>.............] - ETA: 0s - loss: 4.4913e-05
191/262 [====================>.........] - ETA: 0s - loss: 5.5466e-05
228/262 [=========================>....] - ETA: 0s - loss: 7.9518e-05
262/262 [==============================] - 0s 1ms/step - loss: 8.3356e-05
    1422. 

  1422. Epoch 9/10
    1423. 

  1423. 
  1/262 [..............................] - ETA: 0s - loss: 1.1768e-04
 32/262 [==>...........................] - ETA: 0s - loss: 7.2176e-05
 64/262 [======>.......................] - ETA: 0s - loss: 6.2483e-05
100/262 [==========>...................] - ETA: 0s - loss: 5.8607e-05
133/262 [==============>...............] - ETA: 0s - loss: 5.1489e-05
171/262 [==================>...........] - ETA: 0s - loss: 4.7092e-05
210/262 [=======================>......] - ETA: 0s - loss: 7.8472e-05
248/262 [===========================>..] - ETA: 0s - loss: 7.6671e-05
262/262 [==============================] - 0s 1ms/step - loss: 7.4073e-05
    1424. 

  1424. Epoch 10/10
    1425. 

  1425. 
  1/262 [..............................] - ETA: 0s - loss: 1.7860e-05
 34/262 [==>...........................] - ETA: 0s - loss: 1.6260e-04
 67/262 [======>.......................] - ETA: 0s - loss: 1.1750e-04
106/262 [===========>..................] - ETA: 0s - loss: 8.4664e-05
144/262 [===============>..............] - ETA: 0s - loss: 6.8021e-05
183/262 [===================>..........] - ETA: 0s - loss: 5.9468e-05
221/262 [========================>.....] - ETA: 0s - loss: 5.4196e-05
260/262 [============================>.] - ETA: 0s - loss: 5.1068e-05
262/262 [==============================] - 0s 1ms/step - loss: 5.0900e-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, 2
    1462. 

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

  1463. LR f1 score: 1.000
    1464. 

  1464. LR cohens kappa score: 1.000
    1465. 

  1465. LR average precision score: 1.000
    1466. 

  1466. 

  1467. 

  1468. average:
    1469. 

  1469. LR tn, fp: 653.28, 0.12
    1470. 

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

  1471. LR f1 score: 0.994
    1472. 

  1472. LR cohens kappa score: 0.994
    1473. 

  1473. LR average precision score: 1.000
    1474. 

  1474. 

  1475. 

  1476. minimum:
    1477. 

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

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

  1479. LR f1 score: 0.909
    1480. 

  1480. LR cohens kappa score: 0.908
    1481. 

  1481. LR average precision score: 1.000
    1482. 

  1482. 

  1483. 

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

  1485. maximum:
    1486. 

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

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

  1488. RF f1 score: 1.000
    1489. 

  1489. RF cohens kappa score: 1.000
    1490. 

  1490. 

  1491. 

  1492. average:
    1493. 

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

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

  1495. RF f1 score: 1.000
    1496. 

  1496. RF cohens kappa score: 1.000
    1497. 

  1497. 

  1498. 

  1499. minimum:
    1500. 

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

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

  1502. RF f1 score: 1.000
    1503. 

  1503. RF cohens kappa score: 1.000
    1504. 

  1504. 

  1505. 

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

  1507. maximum:
    1508. 

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

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

  1510. GB f1 score: 1.000
    1511. 

  1511. GB cohens kappa score: 1.000
    1512. 

  1512. 

  1513. 

  1514. average:
    1515. 

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

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

  1517. GB f1 score: 1.000
    1518. 

  1518. GB cohens kappa score: 1.000
    1519. 

  1519. 

  1520. 

  1521. minimum:
    1522. 

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

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

  1524. GB f1 score: 1.000
    1525. 

  1525. GB cohens kappa score: 1.000
    1526. 

  1526. 

  1527. 

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

  1529. maximum:
    1530. 

  1530. KNN tn, fp: 654, 3
    1531. 

  1531. KNN fn, tp: 1, 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: 652.48, 0.92
    1538. 

  1538. KNN fn, tp: 0.04, 9.76
    1539. 

  1539. KNN f1 score: 0.954
    1540. 

  1540. KNN cohens kappa score: 0.954
    1541. 

  1541. 

  1542. 

  1543. minimum:
    1544. 

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

  1545. KNN fn, tp: 0, 9
    1546. 

  1546. KNN f1 score: 0.818
    1547. 

  1547. KNN cohens kappa score: 0.815
    1548. 

  1548. 

  1549. 

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

  1551. maximum:
    1552. 

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

  1553. GAN fn, tp: 0, 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: 0.0, 9.8
    1561. 

  1561. GAN f1 score: 1.000
    1562. 

  1562. GAN cohens kappa score: 1.000
    1563. 

  1563. 

  1564. 

  1565. minimum:
    1566. 

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

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

  1568. GAN f1 score: 1.000
    1569. 

  1569. GAN cohens kappa score: 1.000
    1570. 

  1570.