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folding_kr-vs-k-three_vs_eleven.log

folding_kr-vs-k-three_vs_eleven.log 258 KB
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
  1. 

  2. 

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

  4. // Running convGAN-majority-5 on folding_kr-vs-k-three_vs_eleven
    5. 

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

  6. 

  7. Load 'data_input/folding_kr-vs-k-three_vs_eleven'
    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 2219 synthetic samples
    21. 

  21. -> retrain GAN for predict
    22. 

  22. Epoch 1/10
    23. 

  23. 
  1/229 [..............................] - ETA: 37s - loss: 8.0260e-04
 42/229 [====>.........................] - ETA: 0s - loss: 4.8973e-04 
 80/229 [=========>....................] - ETA: 0s - loss: 7.0063e-04
119/229 [==============>...............] - ETA: 0s - loss: 6.3734e-04
158/229 [===================>..........] - ETA: 0s - loss: 5.4818e-04
198/229 [========================>.....] - ETA: 0s - loss: 5.1216e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.7526e-04
    24. 

  24. Epoch 2/10
    25. 

  25. 
  1/229 [..............................] - ETA: 0s - loss: 3.1340e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.0928e-04
 79/229 [=========>....................] - ETA: 0s - loss: 5.1118e-04
114/229 [=============>................] - ETA: 0s - loss: 4.4231e-04
151/229 [==================>...........] - ETA: 0s - loss: 4.3508e-04
191/229 [========================>.....] - ETA: 0s - loss: 4.1098e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.9421e-04
    26. 

  26. Epoch 3/10
    27. 

  27. 
  1/229 [..............................] - ETA: 0s - loss: 1.0005e-04
 40/229 [====>.........................] - ETA: 0s - loss: 2.6348e-04
 75/229 [========>.....................] - ETA: 0s - loss: 3.1178e-04
108/229 [=============>................] - ETA: 0s - loss: 2.8576e-04
140/229 [=================>............] - ETA: 0s - loss: 2.8911e-04
178/229 [======================>.......] - ETA: 0s - loss: 3.3513e-04
217/229 [===========================>..] - ETA: 0s - loss: 3.1801e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.1754e-04
    28. 

  28. Epoch 4/10
    29. 

  29. 
  1/229 [..............................] - ETA: 0s - loss: 1.2415e-04
 40/229 [====>.........................] - ETA: 0s - loss: 4.3238e-04
 74/229 [========>.....................] - ETA: 0s - loss: 3.2512e-04
111/229 [=============>................] - ETA: 0s - loss: 3.1242e-04
151/229 [==================>...........] - ETA: 0s - loss: 3.2092e-04
190/229 [=======================>......] - ETA: 0s - loss: 2.9337e-04
228/229 [============================>.] - ETA: 0s - loss: 2.6977e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6951e-04
    30. 

  30. Epoch 5/10
    31. 

  31. 
  1/229 [..............................] - ETA: 0s - loss: 2.4398e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.2028e-04
 82/229 [=========>....................] - ETA: 0s - loss: 1.7391e-04
123/229 [===============>..............] - ETA: 0s - loss: 2.0779e-04
163/229 [====================>.........] - ETA: 0s - loss: 1.8215e-04
202/229 [=========================>....] - ETA: 0s - loss: 2.3838e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2880e-04
    32. 

  32. Epoch 6/10
    33. 

  33. 
  1/229 [..............................] - ETA: 0s - loss: 8.1348e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.9444e-04
 79/229 [=========>....................] - ETA: 0s - loss: 2.2400e-04
120/229 [==============>...............] - ETA: 0s - loss: 1.9092e-04
160/229 [===================>..........] - ETA: 0s - loss: 1.9585e-04
201/229 [=========================>....] - ETA: 0s - loss: 1.7588e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.8929e-04
    34. 

  34. Epoch 7/10
    35. 

  35. 
  1/229 [..............................] - ETA: 0s - loss: 1.5455e-04
 40/229 [====>.........................] - ETA: 0s - loss: 2.0202e-04
 79/229 [=========>....................] - ETA: 0s - loss: 1.6905e-04
120/229 [==============>...............] - ETA: 0s - loss: 1.8568e-04
160/229 [===================>..........] - ETA: 0s - loss: 1.8568e-04
201/229 [=========================>....] - ETA: 0s - loss: 1.6370e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.6021e-04
    36. 

  36. Epoch 8/10
    37. 

  37. 
  1/229 [..............................] - ETA: 0s - loss: 3.2880e-05
 41/229 [====>.........................] - ETA: 0s - loss: 1.0938e-04
 81/229 [=========>....................] - ETA: 0s - loss: 1.1309e-04
123/229 [===============>..............] - ETA: 0s - loss: 1.0360e-04
163/229 [====================>.........] - ETA: 0s - loss: 1.1811e-04
204/229 [=========================>....] - ETA: 0s - loss: 1.3438e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.3503e-04
    38. 

  38. Epoch 9/10
    39. 

  39. 
  1/229 [..............................] - ETA: 0s - loss: 1.3007e-05
 40/229 [====>.........................] - ETA: 0s - loss: 1.0834e-04
 81/229 [=========>....................] - ETA: 0s - loss: 1.0118e-04
121/229 [==============>...............] - ETA: 0s - loss: 1.1027e-04
161/229 [====================>.........] - ETA: 0s - loss: 1.0596e-04
201/229 [=========================>....] - ETA: 0s - loss: 1.0134e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.1265e-04
    40. 

  40. Epoch 10/10
    41. 

  41. 
  1/229 [..............................] - ETA: 0s - loss: 3.8677e-05
 37/229 [===>..........................] - ETA: 0s - loss: 7.3937e-05
 75/229 [========>.....................] - ETA: 0s - loss: 7.7507e-05
115/229 [==============>...............] - ETA: 0s - loss: 7.5776e-05
149/229 [==================>...........] - ETA: 0s - loss: 7.8641e-05
184/229 [=======================>......] - ETA: 0s - loss: 8.3930e-05
221/229 [===========================>..] - ETA: 0s - loss: 9.5777e-05
229/229 [==============================] - 0s 1ms/step - loss: 9.4886e-05
    42. 

  42. -> test with GAN.predict
    43. 

  43. GAN tn, fp: 571, 0
    44. 

  44. GAN fn, tp: 0, 17
    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: 570, 1
    50. 

  50. LR fn, tp: 1, 16
    51. 

  51. LR f1 score: 0.941
    52. 

  52. LR cohens kappa score: 0.939
    53. 

  53. LR average precision score: 0.997
    54. 

  54. 

  55. -> test with 'RF'
    56. 

  56. RF tn, fp: 571, 0
    57. 

  57. RF fn, tp: 0, 17
    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: 571, 0
    63. 

  63. GB fn, tp: 0, 17
    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: 567, 4
    69. 

  69. KNN fn, tp: 0, 17
    70. 

  70. KNN f1 score: 0.895
    71. 

  71. KNN cohens kappa score: 0.891
    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 2219 synthetic samples
    78. 

  78. -> retrain GAN for predict
    79. 

  79. Epoch 1/10
    80. 

  80. 
  1/229 [..............................] - ETA: 35s - loss: 0.0045
 42/229 [====>.........................] - ETA: 0s - loss: 0.0024 
 82/229 [=========>....................] - ETA: 0s - loss: 0.0016
122/229 [==============>...............] - ETA: 0s - loss: 0.0013
162/229 [====================>.........] - ETA: 0s - loss: 0.0012
201/229 [=========================>....] - ETA: 0s - loss: 0.0010
229/229 [==============================] - 0s 1ms/step - loss: 9.4742e-04
    81. 

  81. Epoch 2/10
    82. 

  82. 
  1/229 [..............................] - ETA: 0s - loss: 4.2129e-04
 39/229 [====>.........................] - ETA: 0s - loss: 0.0018    
 78/229 [=========>....................] - ETA: 0s - loss: 0.0012
118/229 [==============>...............] - ETA: 0s - loss: 9.4996e-04
159/229 [===================>..........] - ETA: 0s - loss: 8.5982e-04
199/229 [=========================>....] - ETA: 0s - loss: 7.7758e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.3261e-04
    83. 

  83. Epoch 3/10
    84. 

  84. 
  1/229 [..............................] - ETA: 0s - loss: 5.5875e-05
 40/229 [====>.........................] - ETA: 0s - loss: 4.6988e-04
 81/229 [=========>....................] - ETA: 0s - loss: 7.9144e-04
122/229 [==============>...............] - ETA: 0s - loss: 6.9487e-04
161/229 [====================>.........] - ETA: 0s - loss: 6.5440e-04
200/229 [=========================>....] - ETA: 0s - loss: 6.1778e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.7271e-04
    85. 

  85. Epoch 4/10
    86. 

  86. 
  1/229 [..............................] - ETA: 0s - loss: 1.3689e-04
 41/229 [====>.........................] - ETA: 0s - loss: 3.1109e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.8601e-04
120/229 [==============>...............] - ETA: 0s - loss: 3.5935e-04
161/229 [====================>.........] - ETA: 0s - loss: 3.4024e-04
201/229 [=========================>....] - ETA: 0s - loss: 4.1941e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.2490e-04
    87. 

  87. Epoch 5/10
    88. 

  88. 
  1/229 [..............................] - ETA: 0s - loss: 1.8997e-04
 42/229 [====>.........................] - ETA: 0s - loss: 3.5619e-04
 82/229 [=========>....................] - ETA: 0s - loss: 3.6884e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.3219e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.2945e-04
203/229 [=========================>....] - ETA: 0s - loss: 3.2757e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.7360e-04
    89. 

  89. Epoch 6/10
    90. 

  90. 
  1/229 [..............................] - ETA: 0s - loss: 3.3468e-04
 39/229 [====>.........................] - ETA: 0s - loss: 2.2843e-04
 78/229 [=========>....................] - ETA: 0s - loss: 3.8580e-04
119/229 [==============>...............] - ETA: 0s - loss: 3.5006e-04
159/229 [===================>..........] - ETA: 0s - loss: 3.2937e-04
198/229 [========================>.....] - ETA: 0s - loss: 3.0952e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.9802e-04
    91. 

  91. Epoch 7/10
    92. 

  92. 
  1/229 [..............................] - ETA: 0s - loss: 8.2198e-05
 34/229 [===>..........................] - ETA: 0s - loss: 1.4037e-04
 65/229 [=======>......................] - ETA: 0s - loss: 3.0700e-04
 98/229 [===========>..................] - ETA: 0s - loss: 2.8404e-04
139/229 [=================>............] - ETA: 0s - loss: 2.6992e-04
180/229 [======================>.......] - ETA: 0s - loss: 2.5996e-04
221/229 [===========================>..] - ETA: 0s - loss: 2.5355e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.5430e-04
    93. 

  93. Epoch 8/10
    94. 

  94. 
  1/229 [..............................] - ETA: 0s - loss: 9.0794e-05
 42/229 [====>.........................] - ETA: 0s - loss: 2.3837e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.5171e-04
123/229 [===============>..............] - ETA: 0s - loss: 2.2846e-04
164/229 [====================>.........] - ETA: 0s - loss: 2.0100e-04
205/229 [=========================>....] - ETA: 0s - loss: 2.0474e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.0263e-04
    95. 

  95. Epoch 9/10
    96. 

  96. 
  1/229 [..............................] - ETA: 0s - loss: 3.5679e-06
 40/229 [====>.........................] - ETA: 0s - loss: 1.5498e-04
 78/229 [=========>....................] - ETA: 0s - loss: 1.5939e-04
117/229 [==============>...............] - ETA: 0s - loss: 1.5263e-04
156/229 [===================>..........] - ETA: 0s - loss: 1.4154e-04
196/229 [========================>.....] - ETA: 0s - loss: 1.4809e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.6326e-04
    97. 

  97. Epoch 10/10
    98. 

  98. 
  1/229 [..............................] - ETA: 0s - loss: 2.9665e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.5149e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.3184e-04
124/229 [===============>..............] - ETA: 0s - loss: 1.6923e-04
165/229 [====================>.........] - ETA: 0s - loss: 1.5981e-04
205/229 [=========================>....] - ETA: 0s - loss: 1.5179e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.4541e-04
    99. 

  99. -> test with GAN.predict
    100. 

  100. GAN tn, fp: 571, 0
    101. 

  101. GAN fn, tp: 0, 17
    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: 571, 0
    107. 

  107. LR fn, tp: 1, 16
    108. 

  108. LR f1 score: 0.970
    109. 

  109. LR cohens kappa score: 0.969
    110. 

  110. LR average precision score: 1.000
    111. 

  111. 

  112. -> test with 'RF'
    113. 

  113. RF tn, fp: 571, 0
    114. 

  114. RF fn, tp: 1, 16
    115. 

  115. RF f1 score: 0.970
    116. 

  116. RF cohens kappa score: 0.969
    117. 

  117. 

  118. -> test with 'GB'
    119. 

  119. GB tn, fp: 571, 0
    120. 

  120. GB fn, tp: 0, 17
    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: 568, 3
    126. 

  126. KNN fn, tp: 0, 17
    127. 

  127. KNN f1 score: 0.919
    128. 

  128. KNN cohens kappa score: 0.916
    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 2219 synthetic samples
    135. 

  135. -> retrain GAN for predict
    136. 

  136. Epoch 1/10
    137. 

  137. 
  1/229 [..............................] - ETA: 37s - loss: 8.3297e-04
 40/229 [====>.........................] - ETA: 0s - loss: 0.0013     
 80/229 [=========>....................] - ETA: 0s - loss: 0.0010
119/229 [==============>...............] - ETA: 0s - loss: 9.2559e-04
158/229 [===================>..........] - ETA: 0s - loss: 8.3113e-04
196/229 [========================>.....] - ETA: 0s - loss: 8.0737e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.8282e-04
    138. 

  138. Epoch 2/10
    139. 

  139. 
  1/229 [..............................] - ETA: 0s - loss: 0.0015
 39/229 [====>.........................] - ETA: 0s - loss: 0.0013
 77/229 [=========>....................] - ETA: 0s - loss: 9.3260e-04
117/229 [==============>...............] - ETA: 0s - loss: 8.3652e-04
158/229 [===================>..........] - ETA: 0s - loss: 7.3106e-04
197/229 [========================>.....] - ETA: 0s - loss: 6.6103e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.5122e-04
    140. 

  140. Epoch 3/10
    141. 

  141. 
  1/229 [..............................] - ETA: 0s - loss: 1.1196e-05
 36/229 [===>..........................] - ETA: 0s - loss: 3.2393e-04
 69/229 [========>.....................] - ETA: 0s - loss: 3.2092e-04
108/229 [=============>................] - ETA: 0s - loss: 5.6773e-04
149/229 [==================>...........] - ETA: 0s - loss: 5.4010e-04
189/229 [=======================>......] - ETA: 0s - loss: 5.0194e-04
229/229 [==============================] - ETA: 0s - loss: 5.0840e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.0840e-04
    142. 

  142. Epoch 4/10
    143. 

  143. 
  1/229 [..............................] - ETA: 0s - loss: 6.8505e-04
 41/229 [====>.........................] - ETA: 0s - loss: 4.1807e-04
 81/229 [=========>....................] - ETA: 0s - loss: 3.7391e-04
122/229 [==============>...............] - ETA: 0s - loss: 3.5561e-04
162/229 [====================>.........] - ETA: 0s - loss: 4.2865e-04
201/229 [=========================>....] - ETA: 0s - loss: 4.2469e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.0593e-04
    144. 

  144. Epoch 5/10
    145. 

  145. 
  1/229 [..............................] - ETA: 0s - loss: 3.9763e-04
 41/229 [====>.........................] - ETA: 0s - loss: 3.2401e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.8866e-04
121/229 [==============>...............] - ETA: 0s - loss: 4.1555e-04
160/229 [===================>..........] - ETA: 0s - loss: 3.7546e-04
197/229 [========================>.....] - ETA: 0s - loss: 3.6285e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.2622e-04
    146. 

  146. Epoch 6/10
    147. 

  147. 
  1/229 [..............................] - ETA: 0s - loss: 4.0888e-05
 38/229 [===>..........................] - ETA: 0s - loss: 1.9140e-04
 77/229 [=========>....................] - ETA: 0s - loss: 2.5548e-04
115/229 [==============>...............] - ETA: 0s - loss: 2.4501e-04
154/229 [===================>..........] - ETA: 0s - loss: 2.8939e-04
194/229 [========================>.....] - ETA: 0s - loss: 2.7362e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6981e-04
    148. 

  148. Epoch 7/10
    149. 

  149. 
  1/229 [..............................] - ETA: 0s - loss: 2.9044e-04
 40/229 [====>.........................] - ETA: 0s - loss: 2.4942e-04
 80/229 [=========>....................] - ETA: 0s - loss: 2.0558e-04
118/229 [==============>...............] - ETA: 0s - loss: 2.1618e-04
157/229 [===================>..........] - ETA: 0s - loss: 2.5028e-04
195/229 [========================>.....] - ETA: 0s - loss: 2.4030e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2518e-04
    150. 

  150. Epoch 8/10
    151. 

  151. 
  1/229 [..............................] - ETA: 0s - loss: 2.6530e-04
 43/229 [====>.........................] - ETA: 0s - loss: 1.4038e-04
 83/229 [=========>....................] - ETA: 0s - loss: 2.7110e-04
123/229 [===============>..............] - ETA: 0s - loss: 2.1616e-04
161/229 [====================>.........] - ETA: 0s - loss: 1.9585e-04
200/229 [=========================>....] - ETA: 0s - loss: 1.9896e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.9725e-04
    152. 

  152. Epoch 9/10
    153. 

  153. 
  1/229 [..............................] - ETA: 0s - loss: 8.1865e-06
 39/229 [====>.........................] - ETA: 0s - loss: 1.6695e-04
 76/229 [========>.....................] - ETA: 0s - loss: 1.4297e-04
116/229 [==============>...............] - ETA: 0s - loss: 1.4397e-04
156/229 [===================>..........] - ETA: 0s - loss: 1.7004e-04
194/229 [========================>.....] - ETA: 0s - loss: 1.6502e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5803e-04
    154. 

  154. Epoch 10/10
    155. 

  155. 
  1/229 [..............................] - ETA: 0s - loss: 2.3117e-05
 40/229 [====>.........................] - ETA: 0s - loss: 1.5107e-04
 73/229 [========>.....................] - ETA: 0s - loss: 1.1485e-04
107/229 [=============>................] - ETA: 0s - loss: 1.3862e-04
144/229 [=================>............] - ETA: 0s - loss: 1.3035e-04
184/229 [=======================>......] - ETA: 0s - loss: 1.4540e-04
223/229 [============================>.] - ETA: 0s - loss: 1.3392e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.3330e-04
    156. 

  156. -> test with GAN.predict
    157. 

  157. GAN tn, fp: 571, 0
    158. 

  158. GAN fn, tp: 0, 17
    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: 570, 1
    164. 

  164. LR fn, tp: 0, 17
    165. 

  165. LR f1 score: 0.971
    166. 

  166. LR cohens kappa score: 0.971
    167. 

  167. LR average precision score: 0.997
    168. 

  168. 

  169. -> test with 'RF'
    170. 

  170. RF tn, fp: 571, 0
    171. 

  171. RF fn, tp: 0, 17
    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: 571, 0
    177. 

  177. GB fn, tp: 0, 17
    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: 569, 2
    183. 

  183. KNN fn, tp: 0, 17
    184. 

  184. KNN f1 score: 0.944
    185. 

  185. KNN cohens kappa score: 0.943
    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 2219 synthetic samples
    192. 

  192. -> retrain GAN for predict
    193. 

  193. Epoch 1/10
    194. 

  194. 
  1/229 [..............................] - ETA: 35s - loss: 6.1366e-04
 42/229 [====>.........................] - ETA: 0s - loss: 0.0012     
 82/229 [=========>....................] - ETA: 0s - loss: 0.0011
121/229 [==============>...............] - ETA: 0s - loss: 9.3983e-04
160/229 [===================>..........] - ETA: 0s - loss: 0.0011    
196/229 [========================>.....] - ETA: 0s - loss: 0.0011
229/229 [==============================] - 0s 1ms/step - loss: 0.0010
    195. 

  195. Epoch 2/10
    196. 

  196. 
  1/229 [..............................] - ETA: 0s - loss: 2.0271e-04
 39/229 [====>.........................] - ETA: 0s - loss: 2.7231e-04
 79/229 [=========>....................] - ETA: 0s - loss: 4.3312e-04
118/229 [==============>...............] - ETA: 0s - loss: 4.1156e-04
160/229 [===================>..........] - ETA: 0s - loss: 7.4136e-04
200/229 [=========================>....] - ETA: 0s - loss: 7.5356e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.5608e-04
    197. 

  197. Epoch 3/10
    198. 

  198. 
  1/229 [..............................] - ETA: 0s - loss: 3.6231e-04
 41/229 [====>.........................] - ETA: 0s - loss: 5.6173e-04
 79/229 [=========>....................] - ETA: 0s - loss: 4.9749e-04
119/229 [==============>...............] - ETA: 0s - loss: 8.3769e-04
159/229 [===================>..........] - ETA: 0s - loss: 7.4442e-04
199/229 [=========================>....] - ETA: 0s - loss: 6.7371e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.3890e-04
    199. 

  199. Epoch 4/10
    200. 

  200. 
  1/229 [..............................] - ETA: 0s - loss: 5.1701e-05
 40/229 [====>.........................] - ETA: 0s - loss: 5.2861e-04
 83/229 [=========>....................] - ETA: 0s - loss: 4.9343e-04
125/229 [===============>..............] - ETA: 0s - loss: 4.7927e-04
166/229 [====================>.........] - ETA: 0s - loss: 4.4431e-04
203/229 [=========================>....] - ETA: 0s - loss: 5.1603e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.0432e-04
    201. 

  201. Epoch 5/10
    202. 

  202. 
  1/229 [..............................] - ETA: 0s - loss: 1.7896e-04
 40/229 [====>.........................] - ETA: 0s - loss: 3.9086e-04
 79/229 [=========>....................] - ETA: 0s - loss: 5.3825e-04
114/229 [=============>................] - ETA: 0s - loss: 4.9079e-04
148/229 [==================>...........] - ETA: 0s - loss: 5.0626e-04
182/229 [======================>.......] - ETA: 0s - loss: 4.8083e-04
218/229 [===========================>..] - ETA: 0s - loss: 4.2873e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.2609e-04
    203. 

  203. Epoch 6/10
    204. 

  204. 
  1/229 [..............................] - ETA: 0s - loss: 1.5129e-04
 41/229 [====>.........................] - ETA: 0s - loss: 6.6909e-04
 81/229 [=========>....................] - ETA: 0s - loss: 4.9125e-04
120/229 [==============>...............] - ETA: 0s - loss: 4.3032e-04
162/229 [====================>.........] - ETA: 0s - loss: 3.6117e-04
203/229 [=========================>....] - ETA: 0s - loss: 3.5057e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.5042e-04
    205. 

  205. Epoch 7/10
    206. 

  206. 
  1/229 [..............................] - ETA: 0s - loss: 2.0247e-04
 39/229 [====>.........................] - ETA: 0s - loss: 4.1927e-04
 78/229 [=========>....................] - ETA: 0s - loss: 3.6683e-04
118/229 [==============>...............] - ETA: 0s - loss: 3.3102e-04
159/229 [===================>..........] - ETA: 0s - loss: 3.3623e-04
198/229 [========================>.....] - ETA: 0s - loss: 3.2417e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.0070e-04
    207. 

  207. Epoch 8/10
    208. 

  208. 
  1/229 [..............................] - ETA: 0s - loss: 3.2333e-05
 37/229 [===>..........................] - ETA: 0s - loss: 1.8030e-04
 75/229 [========>.....................] - ETA: 0s - loss: 1.9573e-04
114/229 [=============>................] - ETA: 0s - loss: 2.8425e-04
154/229 [===================>..........] - ETA: 0s - loss: 2.6540e-04
193/229 [========================>.....] - ETA: 0s - loss: 2.6004e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.5387e-04
    209. 

  209. Epoch 9/10
    210. 

  210. 
  1/229 [..............................] - ETA: 0s - loss: 8.5424e-05
 41/229 [====>.........................] - ETA: 0s - loss: 3.3763e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.9794e-04
122/229 [==============>...............] - ETA: 0s - loss: 2.7964e-04
161/229 [====================>.........] - ETA: 0s - loss: 2.4965e-04
201/229 [=========================>....] - ETA: 0s - loss: 2.3398e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1956e-04
    211. 

  211. Epoch 10/10
    212. 

  212. 
  1/229 [..............................] - ETA: 0s - loss: 4.4317e-05
 39/229 [====>.........................] - ETA: 0s - loss: 1.6378e-04
 78/229 [=========>....................] - ETA: 0s - loss: 1.6137e-04
117/229 [==============>...............] - ETA: 0s - loss: 2.1037e-04
157/229 [===================>..........] - ETA: 0s - loss: 1.9570e-04
198/229 [========================>.....] - ETA: 0s - loss: 1.7062e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.8750e-04
    213. 

  213. -> test with GAN.predict
    214. 

  214. GAN tn, fp: 571, 0
    215. 

  215. GAN fn, tp: 0, 17
    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: 570, 1
    221. 

  221. LR fn, tp: 0, 17
    222. 

  222. LR f1 score: 0.971
    223. 

  223. LR cohens kappa score: 0.971
    224. 

  224. LR average precision score: 1.000
    225. 

  225. 

  226. -> test with 'RF'
    227. 

  227. RF tn, fp: 571, 0
    228. 

  228. RF fn, tp: 0, 17
    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: 571, 0
    234. 

  234. GB fn, tp: 0, 17
    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: 563, 8
    240. 

  240. KNN fn, tp: 0, 17
    241. 

  241. KNN f1 score: 0.810
    242. 

  242. KNN cohens kappa score: 0.803
    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 2216 synthetic samples
    249. 

  249. -> retrain GAN for predict
    250. 

  250. Epoch 1/10
    251. 

  251. 
  1/229 [..............................] - ETA: 35s - loss: 1.2880e-04
 42/229 [====>.........................] - ETA: 0s - loss: 3.2989e-04 
 84/229 [==========>...................] - ETA: 0s - loss: 4.3624e-04
124/229 [===============>..............] - ETA: 0s - loss: 4.8901e-04
165/229 [====================>.........] - ETA: 0s - loss: 4.6697e-04
199/229 [=========================>....] - ETA: 0s - loss: 4.8091e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4899e-04
    252. 

  252. Epoch 2/10
    253. 

  253. 
  1/229 [..............................] - ETA: 0s - loss: 2.6685e-05
 42/229 [====>.........................] - ETA: 0s - loss: 3.5824e-04
 81/229 [=========>....................] - ETA: 0s - loss: 3.9472e-04
121/229 [==============>...............] - ETA: 0s - loss: 3.7308e-04
161/229 [====================>.........] - ETA: 0s - loss: 3.6794e-04
201/229 [=========================>....] - ETA: 0s - loss: 4.0210e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.7979e-04
    254. 

  254. Epoch 3/10
    255. 

  255. 
  1/229 [..............................] - ETA: 0s - loss: 2.6588e-04
 42/229 [====>.........................] - ETA: 0s - loss: 2.8518e-04
 82/229 [=========>....................] - ETA: 0s - loss: 3.7216e-04
119/229 [==============>...............] - ETA: 0s - loss: 3.8274e-04
160/229 [===================>..........] - ETA: 0s - loss: 3.5968e-04
201/229 [=========================>....] - ETA: 0s - loss: 3.2563e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.1481e-04
    256. 

  256. Epoch 4/10
    257. 

  257. 
  1/229 [..............................] - ETA: 0s - loss: 1.1588e-04
 43/229 [====>.........................] - ETA: 0s - loss: 1.3967e-04
 84/229 [==========>...................] - ETA: 0s - loss: 2.0933e-04
125/229 [===============>..............] - ETA: 0s - loss: 2.2279e-04
165/229 [====================>.........] - ETA: 0s - loss: 2.3676e-04
207/229 [==========================>...] - ETA: 0s - loss: 2.5606e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.5096e-04
    258. 

  258. Epoch 5/10
    259. 

  259. 
  1/229 [..............................] - ETA: 0s - loss: 3.4520e-05
 42/229 [====>.........................] - ETA: 0s - loss: 3.7383e-04
 84/229 [==========>...................] - ETA: 0s - loss: 2.7263e-04
123/229 [===============>..............] - ETA: 0s - loss: 2.3310e-04
164/229 [====================>.........] - ETA: 0s - loss: 2.3779e-04
205/229 [=========================>....] - ETA: 0s - loss: 2.1655e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1512e-04
    260. 

  260. Epoch 6/10
    261. 

  261. 
  1/229 [..............................] - ETA: 0s - loss: 7.6334e-06
 34/229 [===>..........................] - ETA: 0s - loss: 1.4043e-04
 69/229 [========>.....................] - ETA: 0s - loss: 1.4283e-04
108/229 [=============>................] - ETA: 0s - loss: 1.7590e-04
149/229 [==================>...........] - ETA: 0s - loss: 1.6787e-04
190/229 [=======================>......] - ETA: 0s - loss: 1.6717e-04
226/229 [============================>.] - ETA: 0s - loss: 1.8134e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.7971e-04
    262. 

  262. Epoch 7/10
    263. 

  263. 
  1/229 [..............................] - ETA: 0s - loss: 3.9522e-05
 41/229 [====>.........................] - ETA: 0s - loss: 1.1311e-04
 81/229 [=========>....................] - ETA: 0s - loss: 1.4890e-04
123/229 [===============>..............] - ETA: 0s - loss: 1.4976e-04
164/229 [====================>.........] - ETA: 0s - loss: 1.4712e-04
206/229 [=========================>....] - ETA: 0s - loss: 1.4874e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5521e-04
    264. 

  264. Epoch 8/10
    265. 

  265. 
  1/229 [..............................] - ETA: 0s - loss: 2.1057e-04
 38/229 [===>..........................] - ETA: 0s - loss: 1.3634e-04
 78/229 [=========>....................] - ETA: 0s - loss: 1.3320e-04
120/229 [==============>...............] - ETA: 0s - loss: 1.2686e-04
157/229 [===================>..........] - ETA: 0s - loss: 1.1049e-04
198/229 [========================>.....] - ETA: 0s - loss: 1.3006e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.2959e-04
    266. 

  266. Epoch 9/10
    267. 

  267. 
  1/229 [..............................] - ETA: 0s - loss: 2.5160e-06
 41/229 [====>.........................] - ETA: 0s - loss: 1.4734e-04
 82/229 [=========>....................] - ETA: 0s - loss: 1.3270e-04
121/229 [==============>...............] - ETA: 0s - loss: 1.1907e-04
162/229 [====================>.........] - ETA: 0s - loss: 1.1197e-04
202/229 [=========================>....] - ETA: 0s - loss: 1.1219e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.0881e-04
    268. 

  268. Epoch 10/10
    269. 

  269. 
  1/229 [..............................] - ETA: 0s - loss: 2.6372e-06
 44/229 [====>.........................] - ETA: 0s - loss: 1.0696e-04
 85/229 [==========>...................] - ETA: 0s - loss: 9.7080e-05
124/229 [===============>..............] - ETA: 0s - loss: 9.8297e-05
165/229 [====================>.........] - ETA: 0s - loss: 9.1707e-05
206/229 [=========================>....] - ETA: 0s - loss: 9.4109e-05
229/229 [==============================] - 0s 1ms/step - loss: 9.4536e-05
    270. 

  270. -> test with GAN.predict
    271. 

  271. GAN tn, fp: 568, 2
    272. 

  272. GAN fn, tp: 0, 13
    273. 

  273. GAN f1 score: 0.929
    274. 

  274. GAN cohens kappa score: 0.927
    275. 

  275. 

  276. -> test with 'LR'
    277. 

  277. LR tn, fp: 566, 4
    278. 

  278. LR fn, tp: 1, 12
    279. 

  279. LR f1 score: 0.828
    280. 

  280. LR cohens kappa score: 0.823
    281. 

  281. LR average precision score: 0.911
    282. 

  282. 

  283. -> test with 'RF'
    284. 

  284. RF tn, fp: 570, 0
    285. 

  285. RF fn, tp: 0, 13
    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: 568, 2
    291. 

  291. GB fn, tp: 0, 13
    292. 

  292. GB f1 score: 0.929
    293. 

  293. GB cohens kappa score: 0.927
    294. 

  294. 

  295. -> test with 'KNN'
    296. 

  296. KNN tn, fp: 569, 1
    297. 

  297. KNN fn, tp: 0, 13
    298. 

  298. KNN f1 score: 0.963
    299. 

  299. KNN cohens kappa score: 0.962
    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 2219 synthetic samples
    310. 

  310. -> retrain GAN for predict
    311. 

  311. Epoch 1/10
    312. 

  312. 
  1/229 [..............................] - ETA: 45s - loss: 2.6916e-04
 36/229 [===>..........................] - ETA: 0s - loss: 0.0011     
 70/229 [========>.....................] - ETA: 0s - loss: 8.1282e-04
105/229 [============>.................] - ETA: 0s - loss: 6.5914e-04
141/229 [=================>............] - ETA: 0s - loss: 6.9345e-04
175/229 [=====================>........] - ETA: 0s - loss: 7.7278e-04
210/229 [==========================>...] - ETA: 0s - loss: 7.4669e-04
229/229 [==============================] - 1s 1ms/step - loss: 0.0011
    313. 

  313. Epoch 2/10
    314. 

  314. 
  1/229 [..............................] - ETA: 0s - loss: 0.0036
 39/229 [====>.........................] - ETA: 0s - loss: 0.0020
 76/229 [========>.....................] - ETA: 0s - loss: 0.0015
111/229 [=============>................] - ETA: 0s - loss: 0.0012
147/229 [==================>...........] - ETA: 0s - loss: 0.0010
184/229 [=======================>......] - ETA: 0s - loss: 8.9895e-04
220/229 [===========================>..] - ETA: 0s - loss: 8.4282e-04
229/229 [==============================] - 0s 1ms/step - loss: 8.4288e-04
    315. 

  315. Epoch 3/10
    316. 

  316. 
  1/229 [..............................] - ETA: 0s - loss: 1.4849e-04
 36/229 [===>..........................] - ETA: 0s - loss: 4.1707e-04
 71/229 [========>.....................] - ETA: 0s - loss: 0.0011    
105/229 [============>.................] - ETA: 0s - loss: 9.5100e-04
138/229 [=================>............] - ETA: 0s - loss: 9.1337e-04
175/229 [=====================>........] - ETA: 0s - loss: 8.1592e-04
214/229 [===========================>..] - ETA: 0s - loss: 7.3944e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.2974e-04
    317. 

  317. Epoch 4/10
    318. 

  318. 
  1/229 [..............................] - ETA: 0s - loss: 2.2583e-04
 36/229 [===>..........................] - ETA: 0s - loss: 0.0013    
 72/229 [========>.....................] - ETA: 0s - loss: 8.5554e-04
106/229 [============>.................] - ETA: 0s - loss: 6.7629e-04
142/229 [=================>............] - ETA: 0s - loss: 5.9693e-04
181/229 [======================>.......] - ETA: 0s - loss: 5.1577e-04
218/229 [===========================>..] - ETA: 0s - loss: 5.1945e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.2035e-04
    319. 

  319. Epoch 5/10
    320. 

  320. 
  1/229 [..............................] - ETA: 0s - loss: 5.4628e-05
 27/229 [==>...........................] - ETA: 0s - loss: 5.4535e-04
 51/229 [=====>........................] - ETA: 0s - loss: 4.6210e-04
 75/229 [========>.....................] - ETA: 0s - loss: 3.9421e-04
102/229 [============>.................] - ETA: 0s - loss: 5.7386e-04
130/229 [================>.............] - ETA: 0s - loss: 5.1977e-04
162/229 [====================>.........] - ETA: 0s - loss: 5.0196e-04
190/229 [=======================>......] - ETA: 0s - loss: 4.9799e-04
221/229 [===========================>..] - ETA: 0s - loss: 4.5172e-04
229/229 [==============================] - 0s 2ms/step - loss: 4.4986e-04
    321. 

  321. Epoch 6/10
    322. 

  322. 
  1/229 [..............................] - ETA: 0s - loss: 5.2454e-05
 32/229 [===>..........................] - ETA: 0s - loss: 4.0585e-04
 65/229 [=======>......................] - ETA: 0s - loss: 4.0143e-04
 92/229 [===========>..................] - ETA: 0s - loss: 3.5311e-04
111/229 [=============>................] - ETA: 0s - loss: 4.4793e-04
135/229 [================>.............] - ETA: 0s - loss: 4.1902e-04
156/229 [===================>..........] - ETA: 0s - loss: 3.8930e-04
178/229 [======================>.......] - ETA: 0s - loss: 4.1560e-04
198/229 [========================>.....] - ETA: 0s - loss: 4.0720e-04
220/229 [===========================>..] - ETA: 0s - loss: 3.8185e-04
229/229 [==============================] - 0s 2ms/step - loss: 3.7330e-04
    323. 

  323. Epoch 7/10
    324. 

  324. 
  1/229 [..............................] - ETA: 0s - loss: 3.3994e-05
 26/229 [==>...........................] - ETA: 0s - loss: 1.9277e-04
 46/229 [=====>........................] - ETA: 0s - loss: 1.8859e-04
 65/229 [=======>......................] - ETA: 0s - loss: 2.4639e-04
 80/229 [=========>....................] - ETA: 0s - loss: 3.5583e-04
 97/229 [===========>..................] - ETA: 0s - loss: 3.7057e-04
114/229 [=============>................] - ETA: 0s - loss: 3.4317e-04
130/229 [================>.............] - ETA: 0s - loss: 3.5955e-04
147/229 [==================>...........] - ETA: 0s - loss: 3.4265e-04
164/229 [====================>.........] - ETA: 0s - loss: 3.3927e-04
176/229 [======================>.......] - ETA: 0s - loss: 3.3651e-04
193/229 [========================>.....] - ETA: 0s - loss: 3.3130e-04
212/229 [==========================>...] - ETA: 0s - loss: 3.1215e-04
229/229 [==============================] - 1s 3ms/step - loss: 2.9944e-04
    325. 

  325. Epoch 8/10
    326. 

  326. 
  1/229 [..............................] - ETA: 0s - loss: 7.7168e-05
 25/229 [==>...........................] - ETA: 0s - loss: 5.5151e-04
 48/229 [=====>........................] - ETA: 0s - loss: 3.9832e-04
 72/229 [========>.....................] - ETA: 0s - loss: 3.4654e-04
 98/229 [===========>..................] - ETA: 0s - loss: 3.2900e-04
122/229 [==============>...............] - ETA: 0s - loss: 3.0379e-04
148/229 [==================>...........] - ETA: 0s - loss: 2.9604e-04
178/229 [======================>.......] - ETA: 0s - loss: 2.8080e-04
202/229 [=========================>....] - ETA: 0s - loss: 2.7211e-04
227/229 [============================>.] - ETA: 0s - loss: 2.5014e-04
229/229 [==============================] - 0s 2ms/step - loss: 2.4891e-04
    327. 

  327. Epoch 9/10
    328. 

  328. 
  1/229 [..............................] - ETA: 0s - loss: 9.7427e-05
 25/229 [==>...........................] - ETA: 0s - loss: 2.6759e-04
 54/229 [======>.......................] - ETA: 0s - loss: 2.1364e-04
 87/229 [==========>...................] - ETA: 0s - loss: 2.9169e-04
113/229 [=============>................] - ETA: 0s - loss: 2.6250e-04
144/229 [=================>............] - ETA: 0s - loss: 2.4998e-04
167/229 [====================>.........] - ETA: 0s - loss: 2.3390e-04
190/229 [=======================>......] - ETA: 0s - loss: 2.1630e-04
216/229 [===========================>..] - ETA: 0s - loss: 2.1459e-04
229/229 [==============================] - 0s 2ms/step - loss: 2.1885e-04
    329. 

  329. Epoch 10/10
    330. 

  330. 
  1/229 [..............................] - ETA: 0s - loss: 2.8703e-05
 26/229 [==>...........................] - ETA: 0s - loss: 1.1777e-04
 54/229 [======>.......................] - ETA: 0s - loss: 1.1763e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.0879e-04
105/229 [============>.................] - ETA: 0s - loss: 2.0664e-04
130/229 [================>.............] - ETA: 0s - loss: 1.9683e-04
156/229 [===================>..........] - ETA: 0s - loss: 1.7964e-04
182/229 [======================>.......] - ETA: 0s - loss: 1.7731e-04
208/229 [==========================>...] - ETA: 0s - loss: 1.7030e-04
229/229 [==============================] - ETA: 0s - loss: 1.7501e-04
229/229 [==============================] - 0s 2ms/step - loss: 1.7501e-04
    331. 

  331. -> test with GAN.predict
    332. 

  332. GAN tn, fp: 571, 0
    333. 

  333. GAN fn, tp: 0, 17
    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: 569, 2
    339. 

  339. LR fn, tp: 0, 17
    340. 

  340. LR f1 score: 0.944
    341. 

  341. LR cohens kappa score: 0.943
    342. 

  342. LR average precision score: 1.000
    343. 

  343. 

  344. -> test with 'RF'
    345. 

  345. RF tn, fp: 571, 0
    346. 

  346. RF fn, tp: 0, 17
    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: 571, 0
    352. 

  352. GB fn, tp: 0, 17
    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: 570, 1
    358. 

  358. KNN fn, tp: 1, 16
    359. 

  359. KNN f1 score: 0.941
    360. 

  360. KNN cohens kappa score: 0.939
    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 2219 synthetic samples
    367. 

  367. -> retrain GAN for predict
    368. 

  368. Epoch 1/10
    369. 

  369. 
  1/229 [..............................] - ETA: 35s - loss: 1.6093e-04
 40/229 [====>.........................] - ETA: 0s - loss: 7.2785e-04 
 82/229 [=========>....................] - ETA: 0s - loss: 8.7768e-04
119/229 [==============>...............] - ETA: 0s - loss: 7.3999e-04
155/229 [===================>..........] - ETA: 0s - loss: 6.7123e-04
196/229 [========================>.....] - ETA: 0s - loss: 6.9868e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.5615e-04
    370. 

  370. Epoch 2/10
    371. 

  371. 
  1/229 [..............................] - ETA: 0s - loss: 2.0752e-04
 43/229 [====>.........................] - ETA: 0s - loss: 7.0165e-04
 82/229 [=========>....................] - ETA: 0s - loss: 5.4566e-04
118/229 [==============>...............] - ETA: 0s - loss: 5.0799e-04
154/229 [===================>..........] - ETA: 0s - loss: 4.5449e-04
188/229 [=======================>......] - ETA: 0s - loss: 4.6708e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.9852e-04
    372. 

  372. Epoch 3/10
    373. 

  373. 
  1/229 [..............................] - ETA: 0s - loss: 2.7337e-04
 40/229 [====>.........................] - ETA: 0s - loss: 3.5702e-04
 81/229 [=========>....................] - ETA: 0s - loss: 3.9960e-04
121/229 [==============>...............] - ETA: 0s - loss: 4.7038e-04
161/229 [====================>.........] - ETA: 0s - loss: 4.4582e-04
202/229 [=========================>....] - ETA: 0s - loss: 3.9356e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.2473e-04
    374. 

  374. Epoch 4/10
    375. 

  375. 
  1/229 [..............................] - ETA: 0s - loss: 3.8227e-05
 41/229 [====>.........................] - ETA: 0s - loss: 5.0185e-04
 83/229 [=========>....................] - ETA: 0s - loss: 4.4795e-04
122/229 [==============>...............] - ETA: 0s - loss: 3.8653e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.5780e-04
205/229 [=========================>....] - ETA: 0s - loss: 3.3170e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.3586e-04
    376. 

  376. Epoch 5/10
    377. 

  377. 
  1/229 [..............................] - ETA: 0s - loss: 1.9954e-05
 43/229 [====>.........................] - ETA: 0s - loss: 3.2303e-04
 84/229 [==========>...................] - ETA: 0s - loss: 3.2829e-04
116/229 [==============>...............] - ETA: 0s - loss: 3.5154e-04
152/229 [==================>...........] - ETA: 0s - loss: 3.2983e-04
187/229 [=======================>......] - ETA: 0s - loss: 3.0642e-04
226/229 [============================>.] - ETA: 0s - loss: 2.9767e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.9541e-04
    378. 

  378. Epoch 6/10
    379. 

  379. 
  1/229 [..............................] - ETA: 0s - loss: 0.0022
 42/229 [====>.........................] - ETA: 0s - loss: 3.4168e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.6345e-04
120/229 [==============>...............] - ETA: 0s - loss: 2.6902e-04
161/229 [====================>.........] - ETA: 0s - loss: 2.5272e-04
201/229 [=========================>....] - ETA: 0s - loss: 2.5021e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4973e-04
    380. 

  380. Epoch 7/10
    381. 

  381. 
  1/229 [..............................] - ETA: 0s - loss: 4.6679e-05
 43/229 [====>.........................] - ETA: 0s - loss: 1.7250e-04
 85/229 [==========>...................] - ETA: 0s - loss: 2.5820e-04
127/229 [===============>..............] - ETA: 0s - loss: 2.4296e-04
168/229 [=====================>........] - ETA: 0s - loss: 2.3045e-04
207/229 [==========================>...] - ETA: 0s - loss: 2.3025e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1938e-04
    382. 

  382. Epoch 8/10
    383. 

  383. 
  1/229 [..............................] - ETA: 0s - loss: 1.7840e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.2616e-04
 79/229 [=========>....................] - ETA: 0s - loss: 1.9549e-04
119/229 [==============>...............] - ETA: 0s - loss: 2.0318e-04
160/229 [===================>..........] - ETA: 0s - loss: 1.7841e-04
201/229 [=========================>....] - ETA: 0s - loss: 1.7880e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.8561e-04
    384. 

  384. Epoch 9/10
    385. 

  385. 
  1/229 [..............................] - ETA: 0s - loss: 4.3525e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.4074e-04
 85/229 [==========>...................] - ETA: 0s - loss: 1.4806e-04
127/229 [===============>..............] - ETA: 0s - loss: 1.6131e-04
168/229 [=====================>........] - ETA: 0s - loss: 1.5420e-04
205/229 [=========================>....] - ETA: 0s - loss: 1.5559e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5607e-04
    386. 

  386. Epoch 10/10
    387. 

  387. 
  1/229 [..............................] - ETA: 0s - loss: 4.1858e-05
 41/229 [====>.........................] - ETA: 0s - loss: 1.5193e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.4135e-04
125/229 [===============>..............] - ETA: 0s - loss: 1.2904e-04
167/229 [====================>.........] - ETA: 0s - loss: 1.3560e-04
210/229 [==========================>...] - ETA: 0s - loss: 1.3874e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.3268e-04
    388. 

  388. -> test with GAN.predict
    389. 

  389. GAN tn, fp: 571, 0
    390. 

  390. GAN fn, tp: 0, 17
    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: 571, 0
    396. 

  396. LR fn, tp: 1, 16
    397. 

  397. LR f1 score: 0.970
    398. 

  398. LR cohens kappa score: 0.969
    399. 

  399. LR average precision score: 1.000
    400. 

  400. 

  401. -> test with 'RF'
    402. 

  402. RF tn, fp: 571, 0
    403. 

  403. RF fn, tp: 0, 17
    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: 571, 0
    409. 

  409. GB fn, tp: 0, 17
    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: 570, 1
    415. 

  415. KNN fn, tp: 0, 17
    416. 

  416. KNN f1 score: 0.971
    417. 

  417. KNN cohens kappa score: 0.971
    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 2219 synthetic samples
    424. 

  424. -> retrain GAN for predict
    425. 

  425. Epoch 1/10
    426. 

  426. 
  1/229 [..............................] - ETA: 34s - loss: 4.0058e-04
 42/229 [====>.........................] - ETA: 0s - loss: 2.5587e-04 
 83/229 [=========>....................] - ETA: 0s - loss: 2.9110e-04
118/229 [==============>...............] - ETA: 0s - loss: 2.7666e-04
150/229 [==================>...........] - ETA: 0s - loss: 3.6298e-04
183/229 [======================>.......] - ETA: 0s - loss: 4.1058e-04
223/229 [============================>.] - ETA: 0s - loss: 4.4445e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.6114e-04
    427. 

  427. Epoch 2/10
    428. 

  428. 
  1/229 [..............................] - ETA: 0s - loss: 9.6416e-04
 43/229 [====>.........................] - ETA: 0s - loss: 6.6197e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.9588e-04
120/229 [==============>...............] - ETA: 0s - loss: 4.4352e-04
160/229 [===================>..........] - ETA: 0s - loss: 4.4020e-04
198/229 [========================>.....] - ETA: 0s - loss: 4.0666e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.7932e-04
    429. 

  429. Epoch 3/10
    430. 

  430. 
  1/229 [..............................] - ETA: 0s - loss: 1.2086e-04
 42/229 [====>.........................] - ETA: 0s - loss: 2.6031e-04
 82/229 [=========>....................] - ETA: 0s - loss: 3.0904e-04
124/229 [===============>..............] - ETA: 0s - loss: 3.7274e-04
162/229 [====================>.........] - ETA: 0s - loss: 3.5117e-04
203/229 [=========================>....] - ETA: 0s - loss: 3.3762e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.3621e-04
    431. 

  431. Epoch 4/10
    432. 

  432. 
  1/229 [..............................] - ETA: 0s - loss: 3.3633e-04
 41/229 [====>.........................] - ETA: 0s - loss: 3.8342e-04
 81/229 [=========>....................] - ETA: 0s - loss: 3.1648e-04
121/229 [==============>...............] - ETA: 0s - loss: 2.9548e-04
162/229 [====================>.........] - ETA: 0s - loss: 2.9839e-04
202/229 [=========================>....] - ETA: 0s - loss: 2.8632e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.8728e-04
    433. 

  433. Epoch 5/10
    434. 

  434. 
  1/229 [..............................] - ETA: 0s - loss: 1.7295e-04
 41/229 [====>.........................] - ETA: 0s - loss: 2.3938e-04
 83/229 [=========>....................] - ETA: 0s - loss: 2.2602e-04
122/229 [==============>...............] - ETA: 0s - loss: 2.2546e-04
163/229 [====================>.........] - ETA: 0s - loss: 2.5084e-04
204/229 [=========================>....] - ETA: 0s - loss: 2.5358e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4450e-04
    435. 

  435. Epoch 6/10
    436. 

  436. 
  1/229 [..............................] - ETA: 0s - loss: 2.6677e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.2270e-04
 79/229 [=========>....................] - ETA: 0s - loss: 2.0710e-04
119/229 [==============>...............] - ETA: 0s - loss: 1.8294e-04
159/229 [===================>..........] - ETA: 0s - loss: 2.0242e-04
202/229 [=========================>....] - ETA: 0s - loss: 2.2433e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1461e-04
    437. 

  437. Epoch 7/10
    438. 

  438. 
  1/229 [..............................] - ETA: 0s - loss: 3.2243e-04
 41/229 [====>.........................] - ETA: 0s - loss: 1.3677e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.1983e-04
122/229 [==============>...............] - ETA: 0s - loss: 1.1932e-04
163/229 [====================>.........] - ETA: 0s - loss: 1.4138e-04
203/229 [=========================>....] - ETA: 0s - loss: 1.6353e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.7404e-04
    439. 

  439. Epoch 8/10
    440. 

  440. 
  1/229 [..............................] - ETA: 0s - loss: 9.4808e-05
 42/229 [====>.........................] - ETA: 0s - loss: 2.5997e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.8503e-04
118/229 [==============>...............] - ETA: 0s - loss: 1.6638e-04
156/229 [===================>..........] - ETA: 0s - loss: 1.5235e-04
188/229 [=======================>......] - ETA: 0s - loss: 1.5949e-04
219/229 [===========================>..] - ETA: 0s - loss: 1.5192e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5170e-04
    441. 

  441. Epoch 9/10
    442. 

  442. 
  1/229 [..............................] - ETA: 0s - loss: 2.0003e-05
 40/229 [====>.........................] - ETA: 0s - loss: 2.8087e-04
 78/229 [=========>....................] - ETA: 0s - loss: 2.2628e-04
120/229 [==============>...............] - ETA: 0s - loss: 1.8700e-04
160/229 [===================>..........] - ETA: 0s - loss: 1.5782e-04
202/229 [=========================>....] - ETA: 0s - loss: 1.3857e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.3830e-04
    443. 

  443. Epoch 10/10
    444. 

  444. 
  1/229 [..............................] - ETA: 0s - loss: 6.1311e-05
 39/229 [====>.........................] - ETA: 0s - loss: 1.1584e-04
 80/229 [=========>....................] - ETA: 0s - loss: 1.3802e-04
120/229 [==============>...............] - ETA: 0s - loss: 1.2699e-04
160/229 [===================>..........] - ETA: 0s - loss: 1.2088e-04
200/229 [=========================>....] - ETA: 0s - loss: 1.2870e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.2383e-04
    445. 

  445. -> test with GAN.predict
    446. 

  446. GAN tn, fp: 571, 0
    447. 

  447. GAN fn, tp: 0, 17
    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: 570, 1
    453. 

  453. LR fn, tp: 2, 15
    454. 

  454. LR f1 score: 0.909
    455. 

  455. LR cohens kappa score: 0.906
    456. 

  456. LR average precision score: 0.979
    457. 

  457. 

  458. -> test with 'RF'
    459. 

  459. RF tn, fp: 571, 0
    460. 

  460. RF fn, tp: 2, 15
    461. 

  461. RF f1 score: 0.938
    462. 

  462. RF cohens kappa score: 0.936
    463. 

  463. 

  464. -> test with 'GB'
    465. 

  465. GB tn, fp: 571, 0
    466. 

  466. GB fn, tp: 0, 17
    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: 566, 5
    472. 

  472. KNN fn, tp: 0, 17
    473. 

  473. KNN f1 score: 0.872
    474. 

  474. KNN cohens kappa score: 0.867
    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 2219 synthetic samples
    481. 

  481. -> retrain GAN for predict
    482. 

  482. Epoch 1/10
    483. 

  483. 
  1/229 [..............................] - ETA: 35s - loss: 0.0022
 45/229 [====>.........................] - ETA: 0s - loss: 0.0010 
 88/229 [==========>...................] - ETA: 0s - loss: 0.0020
131/229 [================>.............] - ETA: 0s - loss: 0.0016
172/229 [=====================>........] - ETA: 0s - loss: 0.0014
214/229 [===========================>..] - ETA: 0s - loss: 0.0012
229/229 [==============================] - 0s 1ms/step - loss: 0.0012
    484. 

  484. Epoch 2/10
    485. 

  485. 
  1/229 [..............................] - ETA: 0s - loss: 1.8259e-04
 37/229 [===>..........................] - ETA: 0s - loss: 5.5019e-04
 78/229 [=========>....................] - ETA: 0s - loss: 4.6421e-04
120/229 [==============>...............] - ETA: 0s - loss: 0.0012    
160/229 [===================>..........] - ETA: 0s - loss: 0.0011
201/229 [=========================>....] - ETA: 0s - loss: 9.8919e-04
229/229 [==============================] - 0s 1ms/step - loss: 9.2211e-04
    486. 

  486. Epoch 3/10
    487. 

  487. 
  1/229 [..............................] - ETA: 0s - loss: 4.4342e-04
 43/229 [====>.........................] - ETA: 0s - loss: 0.0022    
 82/229 [=========>....................] - ETA: 0s - loss: 0.0015
124/229 [===============>..............] - ETA: 0s - loss: 0.0012
165/229 [====================>.........] - ETA: 0s - loss: 9.6122e-04
206/229 [=========================>....] - ETA: 0s - loss: 8.3041e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.9474e-04
    488. 

  488. Epoch 4/10
    489. 

  489. 
  1/229 [..............................] - ETA: 0s - loss: 3.3535e-05
 41/229 [====>.........................] - ETA: 0s - loss: 3.7552e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.1908e-04
124/229 [===============>..............] - ETA: 0s - loss: 3.7537e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.6671e-04
203/229 [=========================>....] - ETA: 0s - loss: 6.8121e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.9002e-04
    490. 

  490. Epoch 5/10
    491. 

  491. 
  1/229 [..............................] - ETA: 0s - loss: 4.7932e-04
 42/229 [====>.........................] - ETA: 0s - loss: 3.1773e-04
 84/229 [==========>...................] - ETA: 0s - loss: 3.9583e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.4333e-04
158/229 [===================>..........] - ETA: 0s - loss: 6.2139e-04
197/229 [========================>.....] - ETA: 0s - loss: 5.8201e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.7317e-04
    492. 

  492. Epoch 6/10
    493. 

  493. 
  1/229 [..............................] - ETA: 0s - loss: 9.6048e-04
 41/229 [====>.........................] - ETA: 0s - loss: 4.1392e-04
 76/229 [========>.....................] - ETA: 0s - loss: 3.7535e-04
111/229 [=============>................] - ETA: 0s - loss: 3.1910e-04
144/229 [=================>............] - ETA: 0s - loss: 5.2421e-04
181/229 [======================>.......] - ETA: 0s - loss: 4.9189e-04
220/229 [===========================>..] - ETA: 0s - loss: 4.6935e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.5876e-04
    494. 

  494. Epoch 7/10
    495. 

  495. 
  1/229 [..............................] - ETA: 0s - loss: 1.3403e-04
 39/229 [====>.........................] - ETA: 0s - loss: 7.3859e-04
 75/229 [========>.....................] - ETA: 0s - loss: 5.1349e-04
115/229 [==============>...............] - ETA: 0s - loss: 4.5193e-04
151/229 [==================>...........] - ETA: 0s - loss: 4.2333e-04
184/229 [=======================>......] - ETA: 0s - loss: 4.0893e-04
220/229 [===========================>..] - ETA: 0s - loss: 3.8451e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.7694e-04
    496. 

  496. Epoch 8/10
    497. 

  497. 
  1/229 [..............................] - ETA: 0s - loss: 5.3277e-05
 36/229 [===>..........................] - ETA: 0s - loss: 6.5337e-04
 78/229 [=========>....................] - ETA: 0s - loss: 4.1649e-04
120/229 [==============>...............] - ETA: 0s - loss: 3.7946e-04
162/229 [====================>.........] - ETA: 0s - loss: 3.4457e-04
202/229 [=========================>....] - ETA: 0s - loss: 3.1677e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.1878e-04
    498. 

  498. Epoch 9/10
    499. 

  499. 
  1/229 [..............................] - ETA: 0s - loss: 0.0018
 42/229 [====>.........................] - ETA: 0s - loss: 2.0752e-04
 83/229 [=========>....................] - ETA: 0s - loss: 2.0694e-04
123/229 [===============>..............] - ETA: 0s - loss: 1.9279e-04
165/229 [====================>.........] - ETA: 0s - loss: 2.9756e-04
206/229 [=========================>....] - ETA: 0s - loss: 3.2123e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.9957e-04
    500. 

  500. Epoch 10/10
    501. 

  501. 
  1/229 [..............................] - ETA: 0s - loss: 2.3118e-04
 42/229 [====>.........................] - ETA: 0s - loss: 1.6715e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.6298e-04
125/229 [===============>..............] - ETA: 0s - loss: 1.5008e-04
165/229 [====================>.........] - ETA: 0s - loss: 1.4174e-04
206/229 [=========================>....] - ETA: 0s - loss: 2.5121e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4276e-04
    502. 

  502. -> test with GAN.predict
    503. 

  503. GAN tn, fp: 571, 0
    504. 

  504. GAN fn, tp: 0, 17
    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: 569, 2
    510. 

  510. LR fn, tp: 0, 17
    511. 

  511. LR f1 score: 0.944
    512. 

  512. LR cohens kappa score: 0.943
    513. 

  513. LR average precision score: 1.000
    514. 

  514. 

  515. -> test with 'RF'
    516. 

  516. RF tn, fp: 571, 0
    517. 

  517. RF fn, tp: 0, 17
    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: 571, 0
    523. 

  523. GB fn, tp: 0, 17
    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: 565, 6
    529. 

  529. KNN fn, tp: 0, 17
    530. 

  530. KNN f1 score: 0.850
    531. 

  531. KNN cohens kappa score: 0.845
    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 2216 synthetic samples
    538. 

  538. -> retrain GAN for predict
    539. 

  539. Epoch 1/10
    540. 

  540. 
  1/229 [..............................] - ETA: 35s - loss: 2.1218e-04
 41/229 [====>.........................] - ETA: 0s - loss: 9.8123e-04 
 83/229 [=========>....................] - ETA: 0s - loss: 0.0017    
124/229 [===============>..............] - ETA: 0s - loss: 0.0016
166/229 [====================>.........] - ETA: 0s - loss: 0.0015
208/229 [==========================>...] - ETA: 0s - loss: 0.0014
229/229 [==============================] - 0s 1ms/step - loss: 0.0014
    541. 

  541. Epoch 2/10
    542. 

  542. 
  1/229 [..............................] - ETA: 0s - loss: 3.0003e-04
 42/229 [====>.........................] - ETA: 0s - loss: 9.5557e-04
 82/229 [=========>....................] - ETA: 0s - loss: 0.0014    
112/229 [=============>................] - ETA: 0s - loss: 0.0018
144/229 [=================>............] - ETA: 0s - loss: 0.0014
181/229 [======================>.......] - ETA: 0s - loss: 0.0014
222/229 [============================>.] - ETA: 0s - loss: 0.0013
229/229 [==============================] - 0s 1ms/step - loss: 0.0013
    543. 

  543. Epoch 3/10
    544. 

  544. 
  1/229 [..............................] - ETA: 0s - loss: 9.7000e-06
 39/229 [====>.........................] - ETA: 0s - loss: 7.3732e-04
 81/229 [=========>....................] - ETA: 0s - loss: 0.0013    
123/229 [===============>..............] - ETA: 0s - loss: 0.0012
164/229 [====================>.........] - ETA: 0s - loss: 0.0012
204/229 [=========================>....] - ETA: 0s - loss: 0.0011
229/229 [==============================] - 0s 1ms/step - loss: 0.0011
    545. 

  545. Epoch 4/10
    546. 

  546. 
  1/229 [..............................] - ETA: 0s - loss: 7.3038e-05
 40/229 [====>.........................] - ETA: 0s - loss: 0.0014    
 82/229 [=========>....................] - ETA: 0s - loss: 0.0010
123/229 [===============>..............] - ETA: 0s - loss: 8.4218e-04
161/229 [====================>.........] - ETA: 0s - loss: 6.9439e-04
201/229 [=========================>....] - ETA: 0s - loss: 8.6664e-04
229/229 [==============================] - 0s 1ms/step - loss: 9.4099e-04
    547. 

  547. Epoch 5/10
    548. 

  548. 
  1/229 [..............................] - ETA: 0s - loss: 2.3532e-04
 40/229 [====>.........................] - ETA: 0s - loss: 8.2909e-04
 77/229 [=========>....................] - ETA: 0s - loss: 6.3021e-04
113/229 [=============>................] - ETA: 0s - loss: 6.8346e-04
151/229 [==================>...........] - ETA: 0s - loss: 7.4309e-04
192/229 [========================>.....] - ETA: 0s - loss: 6.9739e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.4527e-04
    549. 

  549. Epoch 6/10
    550. 

  550. 
  1/229 [..............................] - ETA: 0s - loss: 1.1284e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.7128e-04
 82/229 [=========>....................] - ETA: 0s - loss: 7.1520e-04
122/229 [==============>...............] - ETA: 0s - loss: 7.9434e-04
163/229 [====================>.........] - ETA: 0s - loss: 6.6521e-04
202/229 [=========================>....] - ETA: 0s - loss: 6.1502e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.4094e-04
    551. 

  551. Epoch 7/10
    552. 

  552. 
  1/229 [..............................] - ETA: 0s - loss: 1.1691e-05
 41/229 [====>.........................] - ETA: 0s - loss: 5.5409e-04
 81/229 [=========>....................] - ETA: 0s - loss: 6.7239e-04
121/229 [==============>...............] - ETA: 0s - loss: 5.6154e-04
161/229 [====================>.........] - ETA: 0s - loss: 5.2065e-04
203/229 [=========================>....] - ETA: 0s - loss: 4.9659e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.4908e-04
    553. 

  553. Epoch 8/10
    554. 

  554. 
  1/229 [..............................] - ETA: 0s - loss: 1.0145e-04
 42/229 [====>.........................] - ETA: 0s - loss: 4.2144e-04
 83/229 [=========>....................] - ETA: 0s - loss: 4.3413e-04
123/229 [===============>..............] - ETA: 0s - loss: 4.9841e-04
162/229 [====================>.........] - ETA: 0s - loss: 4.5084e-04
203/229 [=========================>....] - ETA: 0s - loss: 4.7218e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4199e-04
    555. 

  555. Epoch 9/10
    556. 

  556. 
  1/229 [..............................] - ETA: 0s - loss: 4.5763e-05
 43/229 [====>.........................] - ETA: 0s - loss: 3.3743e-04
 82/229 [=========>....................] - ETA: 0s - loss: 3.9203e-04
122/229 [==============>...............] - ETA: 0s - loss: 3.0104e-04
159/229 [===================>..........] - ETA: 0s - loss: 3.1023e-04
191/229 [========================>.....] - ETA: 0s - loss: 3.2844e-04
224/229 [============================>.] - ETA: 0s - loss: 3.3982e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.7268e-04
    557. 

  557. Epoch 10/10
    558. 

  558. 
  1/229 [..............................] - ETA: 0s - loss: 2.6729e-04
 40/229 [====>.........................] - ETA: 0s - loss: 5.3424e-04
 81/229 [=========>....................] - ETA: 0s - loss: 3.4310e-04
122/229 [==============>...............] - ETA: 0s - loss: 2.8968e-04
163/229 [====================>.........] - ETA: 0s - loss: 2.9096e-04
205/229 [=========================>....] - ETA: 0s - loss: 2.7664e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.1103e-04
    559. 

  559. -> test with GAN.predict
    560. 

  560. GAN tn, fp: 570, 0
    561. 

  561. GAN fn, tp: 0, 13
    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: 569, 1
    567. 

  567. LR fn, tp: 0, 13
    568. 

  568. LR f1 score: 0.963
    569. 

  569. LR cohens kappa score: 0.962
    570. 

  570. LR average precision score: 0.995
    571. 

  571. 

  572. -> test with 'RF'
    573. 

  573. RF tn, fp: 570, 0
    574. 

  574. RF fn, tp: 0, 13
    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: 570, 0
    580. 

  580. GB fn, tp: 0, 13
    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: 563, 7
    586. 

  586. KNN fn, tp: 0, 13
    587. 

  587. KNN f1 score: 0.788
    588. 

  588. KNN cohens kappa score: 0.782
    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 2219 synthetic samples
    599. 

  599. -> retrain GAN for predict
    600. 

  600. Epoch 1/10
    601. 

  601. 
  1/229 [..............................] - ETA: 37s - loss: 0.0027
 42/229 [====>.........................] - ETA: 0s - loss: 8.4415e-04
 84/229 [==========>...................] - ETA: 0s - loss: 7.9499e-04
126/229 [===============>..............] - ETA: 0s - loss: 7.4392e-04
165/229 [====================>.........] - ETA: 0s - loss: 6.8898e-04
207/229 [==========================>...] - ETA: 0s - loss: 9.0045e-04
229/229 [==============================] - 0s 1ms/step - loss: 8.8067e-04
    602. 

  602. Epoch 2/10
    603. 

  603. 
  1/229 [..............................] - ETA: 0s - loss: 0.0013
 40/229 [====>.........................] - ETA: 0s - loss: 5.4063e-04
 81/229 [=========>....................] - ETA: 0s - loss: 6.2170e-04
122/229 [==============>...............] - ETA: 0s - loss: 8.0679e-04
163/229 [====================>.........] - ETA: 0s - loss: 7.3138e-04
203/229 [=========================>....] - ETA: 0s - loss: 7.6044e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.4176e-04
    604. 

  604. Epoch 3/10
    605. 

  605. 
  1/229 [..............................] - ETA: 0s - loss: 1.1084e-04
 42/229 [====>.........................] - ETA: 0s - loss: 4.6500e-04
 80/229 [=========>....................] - ETA: 0s - loss: 7.7666e-04
113/229 [=============>................] - ETA: 0s - loss: 7.2174e-04
147/229 [==================>...........] - ETA: 0s - loss: 6.7019e-04
176/229 [======================>.......] - ETA: 0s - loss: 7.1956e-04
214/229 [===========================>..] - ETA: 0s - loss: 6.5305e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.4193e-04
    606. 

  606. Epoch 4/10
    607. 

  607. 
  1/229 [..............................] - ETA: 0s - loss: 3.3086e-04
 42/229 [====>.........................] - ETA: 0s - loss: 9.7993e-04
 83/229 [=========>....................] - ETA: 0s - loss: 8.4434e-04
125/229 [===============>..............] - ETA: 0s - loss: 6.6169e-04
166/229 [====================>.........] - ETA: 0s - loss: 6.2609e-04
207/229 [==========================>...] - ETA: 0s - loss: 5.8597e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.6173e-04
    608. 

  608. Epoch 5/10
    609. 

  609. 
  1/229 [..............................] - ETA: 0s - loss: 3.7267e-05
 42/229 [====>.........................] - ETA: 0s - loss: 4.4858e-04
 83/229 [=========>....................] - ETA: 0s - loss: 3.8060e-04
125/229 [===============>..............] - ETA: 0s - loss: 3.6426e-04
167/229 [====================>.........] - ETA: 0s - loss: 3.5698e-04
209/229 [==========================>...] - ETA: 0s - loss: 3.8207e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4273e-04
    610. 

  610. Epoch 6/10
    611. 

  611. 
  1/229 [..............................] - ETA: 0s - loss: 5.7648e-04
 43/229 [====>.........................] - ETA: 0s - loss: 3.5870e-04
 84/229 [==========>...................] - ETA: 0s - loss: 4.9956e-04
124/229 [===============>..............] - ETA: 0s - loss: 4.7456e-04
165/229 [====================>.........] - ETA: 0s - loss: 4.7852e-04
206/229 [=========================>....] - ETA: 0s - loss: 4.2761e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.1274e-04
    612. 

  612. Epoch 7/10
    613. 

  613. 
  1/229 [..............................] - ETA: 0s - loss: 9.8754e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.3090e-04
 82/229 [=========>....................] - ETA: 0s - loss: 1.8838e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.4212e-04
164/229 [====================>.........] - ETA: 0s - loss: 3.3746e-04
206/229 [=========================>....] - ETA: 0s - loss: 3.3857e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.2860e-04
    614. 

  614. Epoch 8/10
    615. 

  615. 
  1/229 [..............................] - ETA: 0s - loss: 3.6544e-05
 40/229 [====>.........................] - ETA: 0s - loss: 3.0027e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.0989e-04
122/229 [==============>...............] - ETA: 0s - loss: 1.8131e-04
163/229 [====================>.........] - ETA: 0s - loss: 2.2862e-04
204/229 [=========================>....] - ETA: 0s - loss: 2.6464e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6350e-04
    616. 

  616. Epoch 9/10
    617. 

  617. 
  1/229 [..............................] - ETA: 0s - loss: 2.0972e-04
 43/229 [====>.........................] - ETA: 0s - loss: 1.6746e-04
 85/229 [==========>...................] - ETA: 0s - loss: 2.8574e-04
126/229 [===============>..............] - ETA: 0s - loss: 2.6465e-04
168/229 [=====================>........] - ETA: 0s - loss: 2.4375e-04
209/229 [==========================>...] - ETA: 0s - loss: 2.3631e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4279e-04
    618. 

  618. Epoch 10/10
    619. 

  619. 
  1/229 [..............................] - ETA: 0s - loss: 1.2001e-04
 42/229 [====>.........................] - ETA: 0s - loss: 1.1999e-04
 84/229 [==========>...................] - ETA: 0s - loss: 1.6111e-04
126/229 [===============>..............] - ETA: 0s - loss: 1.6518e-04
163/229 [====================>.........] - ETA: 0s - loss: 2.0818e-04
199/229 [=========================>....] - ETA: 0s - loss: 1.9789e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.9288e-04
    620. 

  620. -> test with GAN.predict
    621. 

  621. GAN tn, fp: 570, 1
    622. 

  622. GAN fn, tp: 0, 17
    623. 

  623. GAN f1 score: 0.971
    624. 

  624. GAN cohens kappa score: 0.971
    625. 

  625. 

  626. -> test with 'LR'
    627. 

  627. LR tn, fp: 569, 2
    628. 

  628. LR fn, tp: 0, 17
    629. 

  629. LR f1 score: 0.944
    630. 

  630. LR cohens kappa score: 0.943
    631. 

  631. LR average precision score: 0.987
    632. 

  632. 

  633. -> test with 'RF'
    634. 

  634. RF tn, fp: 571, 0
    635. 

  635. RF fn, tp: 0, 17
    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: 571, 0
    641. 

  641. GB fn, tp: 0, 17
    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: 567, 4
    647. 

  647. KNN fn, tp: 0, 17
    648. 

  648. KNN f1 score: 0.895
    649. 

  649. KNN cohens kappa score: 0.891
    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 2219 synthetic samples
    656. 

  656. -> retrain GAN for predict
    657. 

  657. Epoch 1/10
    658. 

  658. 
  1/229 [..............................] - ETA: 42s - loss: 0.0026
 42/229 [====>.........................] - ETA: 0s - loss: 4.6075e-04
 82/229 [=========>....................] - ETA: 0s - loss: 6.7707e-04
119/229 [==============>...............] - ETA: 0s - loss: 5.5816e-04
153/229 [===================>..........] - ETA: 0s - loss: 5.3544e-04
188/229 [=======================>......] - ETA: 0s - loss: 6.0366e-04
226/229 [============================>.] - ETA: 0s - loss: 6.1212e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.0985e-04
    659. 

  659. Epoch 2/10
    660. 

  660. 
  1/229 [..............................] - ETA: 0s - loss: 3.8749e-04
 41/229 [====>.........................] - ETA: 0s - loss: 5.7478e-04
 81/229 [=========>....................] - ETA: 0s - loss: 5.8116e-04
123/229 [===============>..............] - ETA: 0s - loss: 5.0337e-04
164/229 [====================>.........] - ETA: 0s - loss: 4.8869e-04
206/229 [=========================>....] - ETA: 0s - loss: 4.3189e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.1766e-04
    661. 

  661. Epoch 3/10
    662. 

  662. 
  1/229 [..............................] - ETA: 0s - loss: 3.5967e-05
 42/229 [====>.........................] - ETA: 0s - loss: 4.3419e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.1264e-04
123/229 [===============>..............] - ETA: 0s - loss: 4.4104e-04
164/229 [====================>.........] - ETA: 0s - loss: 4.1476e-04
206/229 [=========================>....] - ETA: 0s - loss: 4.5898e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4079e-04
    663. 

  663. Epoch 4/10
    664. 

  664. 
  1/229 [..............................] - ETA: 0s - loss: 1.0021e-04
 43/229 [====>.........................] - ETA: 0s - loss: 3.6533e-04
 84/229 [==========>...................] - ETA: 0s - loss: 2.9962e-04
125/229 [===============>..............] - ETA: 0s - loss: 3.1631e-04
166/229 [====================>.........] - ETA: 0s - loss: 3.6420e-04
206/229 [=========================>....] - ETA: 0s - loss: 3.6373e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.6809e-04
    665. 

  665. Epoch 5/10
    666. 

  666. 
  1/229 [..............................] - ETA: 0s - loss: 4.2868e-04
 41/229 [====>.........................] - ETA: 0s - loss: 3.5742e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.1206e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.8336e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.6487e-04
204/229 [=========================>....] - ETA: 0s - loss: 3.3409e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.1158e-04
    667. 

  667. Epoch 6/10
    668. 

  668. 
  1/229 [..............................] - ETA: 0s - loss: 2.9093e-05
 42/229 [====>.........................] - ETA: 0s - loss: 2.4545e-04
 84/229 [==========>...................] - ETA: 0s - loss: 2.4809e-04
126/229 [===============>..............] - ETA: 0s - loss: 2.7431e-04
160/229 [===================>..........] - ETA: 0s - loss: 2.7494e-04
200/229 [=========================>....] - ETA: 0s - loss: 2.8081e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.7165e-04
    669. 

  669. Epoch 7/10
    670. 

  670. 
  1/229 [..............................] - ETA: 0s - loss: 1.4346e-04
 40/229 [====>.........................] - ETA: 0s - loss: 1.7366e-04
 78/229 [=========>....................] - ETA: 0s - loss: 1.9898e-04
116/229 [==============>...............] - ETA: 0s - loss: 1.9385e-04
155/229 [===================>..........] - ETA: 0s - loss: 1.9268e-04
195/229 [========================>.....] - ETA: 0s - loss: 2.1250e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2672e-04
    671. 

  671. Epoch 8/10
    672. 

  672. 
  1/229 [..............................] - ETA: 0s - loss: 1.5457e-04
 43/229 [====>.........................] - ETA: 0s - loss: 1.8425e-04
 84/229 [==========>...................] - ETA: 0s - loss: 1.6611e-04
125/229 [===============>..............] - ETA: 0s - loss: 1.5429e-04
165/229 [====================>.........] - ETA: 0s - loss: 1.7177e-04
201/229 [=========================>....] - ETA: 0s - loss: 2.0201e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.9580e-04
    673. 

  673. Epoch 9/10
    674. 

  674. 
  1/229 [..............................] - ETA: 0s - loss: 3.8037e-05
 34/229 [===>..........................] - ETA: 0s - loss: 1.7648e-04
 72/229 [========>.....................] - ETA: 0s - loss: 1.5681e-04
111/229 [=============>................] - ETA: 0s - loss: 1.6378e-04
151/229 [==================>...........] - ETA: 0s - loss: 1.6445e-04
193/229 [========================>.....] - ETA: 0s - loss: 1.4714e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.6561e-04
    675. 

  675. Epoch 10/10
    676. 

  676. 
  1/229 [..............................] - ETA: 0s - loss: 2.0819e-04
 41/229 [====>.........................] - ETA: 0s - loss: 1.1321e-04
 80/229 [=========>....................] - ETA: 0s - loss: 9.3967e-05
121/229 [==============>...............] - ETA: 0s - loss: 1.0973e-04
163/229 [====================>.........] - ETA: 0s - loss: 1.4165e-04
205/229 [=========================>....] - ETA: 0s - loss: 1.3844e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.4131e-04
    677. 

  677. -> test with GAN.predict
    678. 

  678. GAN tn, fp: 571, 0
    679. 

  679. GAN fn, tp: 0, 17
    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: 571, 0
    685. 

  685. LR fn, tp: 1, 16
    686. 

  686. LR f1 score: 0.970
    687. 

  687. LR cohens kappa score: 0.969
    688. 

  688. LR average precision score: 0.997
    689. 

  689. 

  690. -> test with 'RF'
    691. 

  691. RF tn, fp: 571, 0
    692. 

  692. RF fn, tp: 1, 16
    693. 

  693. RF f1 score: 0.970
    694. 

  694. RF cohens kappa score: 0.969
    695. 

  695. 

  696. -> test with 'GB'
    697. 

  697. GB tn, fp: 571, 0
    698. 

  698. GB fn, tp: 0, 17
    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: 567, 4
    704. 

  704. KNN fn, tp: 0, 17
    705. 

  705. KNN f1 score: 0.895
    706. 

  706. KNN cohens kappa score: 0.891
    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 2219 synthetic samples
    713. 

  713. -> retrain GAN for predict
    714. 

  714. Epoch 1/10
    715. 

  715. 
  1/229 [..............................] - ETA: 37s - loss: 3.1444e-04
 43/229 [====>.........................] - ETA: 0s - loss: 4.5905e-04 
 84/229 [==========>...................] - ETA: 0s - loss: 0.0012    
125/229 [===============>..............] - ETA: 0s - loss: 9.9981e-04
167/229 [====================>.........] - ETA: 0s - loss: 8.2550e-04
208/229 [==========================>...] - ETA: 0s - loss: 7.1049e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.9596e-04
    716. 

  716. Epoch 2/10
    717. 

  717. 
  1/229 [..............................] - ETA: 0s - loss: 2.7541e-04
 40/229 [====>.........................] - ETA: 0s - loss: 3.1859e-04
 80/229 [=========>....................] - ETA: 0s - loss: 3.8854e-04
118/229 [==============>...............] - ETA: 0s - loss: 4.1358e-04
158/229 [===================>..........] - ETA: 0s - loss: 5.6961e-04
198/229 [========================>.....] - ETA: 0s - loss: 5.3940e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.0613e-04
    718. 

  718. Epoch 3/10
    719. 

  719. 
  1/229 [..............................] - ETA: 0s - loss: 1.7256e-04
 37/229 [===>..........................] - ETA: 0s - loss: 6.4087e-04
 71/229 [========>.....................] - ETA: 0s - loss: 4.7121e-04
108/229 [=============>................] - ETA: 0s - loss: 5.8878e-04
151/229 [==================>...........] - ETA: 0s - loss: 4.8902e-04
190/229 [=======================>......] - ETA: 0s - loss: 4.5007e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.1763e-04
    720. 

  720. Epoch 4/10
    721. 

  721. 
  1/229 [..............................] - ETA: 0s - loss: 5.1015e-04
 43/229 [====>.........................] - ETA: 0s - loss: 2.2428e-04
 84/229 [==========>...................] - ETA: 0s - loss: 3.4561e-04
124/229 [===============>..............] - ETA: 0s - loss: 4.5882e-04
166/229 [====================>.........] - ETA: 0s - loss: 3.9242e-04
207/229 [==========================>...] - ETA: 0s - loss: 3.6499e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.5026e-04
    722. 

  722. Epoch 5/10
    723. 

  723. 
  1/229 [..............................] - ETA: 0s - loss: 1.7672e-05
 40/229 [====>.........................] - ETA: 0s - loss: 2.3762e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.3497e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.2495e-04
162/229 [====================>.........] - ETA: 0s - loss: 3.3590e-04
201/229 [=========================>....] - ETA: 0s - loss: 3.2539e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.9813e-04
    724. 

  724. Epoch 6/10
    725. 

  725. 
  1/229 [..............................] - ETA: 0s - loss: 1.2463e-05
 42/229 [====>.........................] - ETA: 0s - loss: 2.7092e-04
 84/229 [==========>...................] - ETA: 0s - loss: 2.2217e-04
124/229 [===============>..............] - ETA: 0s - loss: 2.3076e-04
165/229 [====================>.........] - ETA: 0s - loss: 2.1711e-04
206/229 [=========================>....] - ETA: 0s - loss: 2.7061e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.7528e-04
    726. 

  726. Epoch 7/10
    727. 

  727. 
  1/229 [..............................] - ETA: 0s - loss: 2.3315e-04
 43/229 [====>.........................] - ETA: 0s - loss: 1.6302e-04
 84/229 [==========>...................] - ETA: 0s - loss: 2.6079e-04
126/229 [===============>..............] - ETA: 0s - loss: 2.2124e-04
168/229 [=====================>........] - ETA: 0s - loss: 2.1153e-04
208/229 [==========================>...] - ETA: 0s - loss: 2.2800e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.3224e-04
    728. 

  728. Epoch 8/10
    729. 

  729. 
  1/229 [..............................] - ETA: 0s - loss: 1.8451e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.3190e-04
 83/229 [=========>....................] - ETA: 0s - loss: 2.0874e-04
125/229 [===============>..............] - ETA: 0s - loss: 2.1992e-04
167/229 [====================>.........] - ETA: 0s - loss: 2.0424e-04
206/229 [=========================>....] - ETA: 0s - loss: 2.0756e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.0323e-04
    730. 

  730. Epoch 9/10
    731. 

  731. 
  1/229 [..............................] - ETA: 0s - loss: 9.4028e-04
 43/229 [====>.........................] - ETA: 0s - loss: 1.5468e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.0235e-04
123/229 [===============>..............] - ETA: 0s - loss: 1.6962e-04
160/229 [===================>..........] - ETA: 0s - loss: 1.6041e-04
200/229 [=========================>....] - ETA: 0s - loss: 1.5633e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.7376e-04
    732. 

  732. Epoch 10/10
    733. 

  733. 
  1/229 [..............................] - ETA: 0s - loss: 2.8586e-05
 43/229 [====>.........................] - ETA: 0s - loss: 9.6265e-05
 84/229 [==========>...................] - ETA: 0s - loss: 8.7408e-05
119/229 [==============>...............] - ETA: 0s - loss: 8.5744e-05
153/229 [===================>..........] - ETA: 0s - loss: 1.0406e-04
185/229 [=======================>......] - ETA: 0s - loss: 1.5289e-04
226/229 [============================>.] - ETA: 0s - loss: 1.5744e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5632e-04
    734. 

  734. -> test with GAN.predict
    735. 

  735. GAN tn, fp: 571, 0
    736. 

  736. GAN fn, tp: 0, 17
    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: 571, 0
    742. 

  742. LR fn, tp: 0, 17
    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: 571, 0
    749. 

  749. RF fn, tp: 0, 17
    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: 571, 0
    755. 

  755. GB fn, tp: 0, 17
    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: 567, 4
    761. 

  761. KNN fn, tp: 0, 17
    762. 

  762. KNN f1 score: 0.895
    763. 

  763. KNN cohens kappa score: 0.891
    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 2219 synthetic samples
    770. 

  770. -> retrain GAN for predict
    771. 

  771. Epoch 1/10
    772. 

  772. 
  1/229 [..............................] - ETA: 37s - loss: 5.5446e-05
 39/229 [====>.........................] - ETA: 0s - loss: 5.4617e-04 
 81/229 [=========>....................] - ETA: 0s - loss: 5.1719e-04
121/229 [==============>...............] - ETA: 0s - loss: 6.6351e-04
160/229 [===================>..........] - ETA: 0s - loss: 6.9078e-04
200/229 [=========================>....] - ETA: 0s - loss: 0.0013    
229/229 [==============================] - 0s 1ms/step - loss: 0.0012
    773. 

  773. Epoch 2/10
    774. 

  774. 
  1/229 [..............................] - ETA: 0s - loss: 0.0873
 41/229 [====>.........................] - ETA: 0s - loss: 0.0029
 80/229 [=========>....................] - ETA: 0s - loss: 0.0017
120/229 [==============>...............] - ETA: 0s - loss: 0.0013
160/229 [===================>..........] - ETA: 0s - loss: 0.0012
199/229 [=========================>....] - ETA: 0s - loss: 0.0011
229/229 [==============================] - 0s 1ms/step - loss: 0.0010
    775. 

  775. Epoch 3/10
    776. 

  776. 
  1/229 [..............................] - ETA: 0s - loss: 3.6166e-04
 42/229 [====>.........................] - ETA: 0s - loss: 4.1458e-04
 83/229 [=========>....................] - ETA: 0s - loss: 4.6887e-04
125/229 [===============>..............] - ETA: 0s - loss: 4.7679e-04
164/229 [====================>.........] - ETA: 0s - loss: 0.0010    
202/229 [=========================>....] - ETA: 0s - loss: 9.1541e-04
229/229 [==============================] - 0s 1ms/step - loss: 8.5222e-04
    777. 

  777. Epoch 4/10
    778. 

  778. 
  1/229 [..............................] - ETA: 0s - loss: 4.7232e-04
 42/229 [====>.........................] - ETA: 0s - loss: 3.9239e-04
 84/229 [==========>...................] - ETA: 0s - loss: 3.7726e-04
125/229 [===============>..............] - ETA: 0s - loss: 3.7005e-04
166/229 [====================>.........] - ETA: 0s - loss: 8.3277e-04
208/229 [==========================>...] - ETA: 0s - loss: 7.6477e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.2230e-04
    779. 

  779. Epoch 5/10
    780. 

  780. 
  1/229 [..............................] - ETA: 0s - loss: 1.7132e-04
 43/229 [====>.........................] - ETA: 0s - loss: 2.3641e-04
 84/229 [==========>...................] - ETA: 0s - loss: 2.9268e-04
123/229 [===============>..............] - ETA: 0s - loss: 2.8342e-04
164/229 [====================>.........] - ETA: 0s - loss: 3.3747e-04
202/229 [=========================>....] - ETA: 0s - loss: 3.5176e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.8111e-04
    781. 

  781. Epoch 6/10
    782. 

  782. 
  1/229 [..............................] - ETA: 0s - loss: 0.0017
 32/229 [===>..........................] - ETA: 0s - loss: 6.9376e-04
 66/229 [=======>......................] - ETA: 0s - loss: 4.7859e-04
104/229 [============>.................] - ETA: 0s - loss: 6.9404e-04
146/229 [==================>...........] - ETA: 0s - loss: 6.0923e-04
187/229 [=======================>......] - ETA: 0s - loss: 6.0933e-04
228/229 [============================>.] - ETA: 0s - loss: 5.4259e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.4191e-04
    783. 

  783. Epoch 7/10
    784. 

  784. 
  1/229 [..............................] - ETA: 0s - loss: 1.3201e-04
 40/229 [====>.........................] - ETA: 0s - loss: 2.3496e-04
 81/229 [=========>....................] - ETA: 0s - loss: 3.5935e-04
122/229 [==============>...............] - ETA: 0s - loss: 3.2403e-04
163/229 [====================>.........] - ETA: 0s - loss: 4.7848e-04
201/229 [=========================>....] - ETA: 0s - loss: 4.5551e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4196e-04
    785. 

  785. Epoch 8/10
    786. 

  786. 
  1/229 [..............................] - ETA: 0s - loss: 6.3885e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.6261e-04
 82/229 [=========>....................] - ETA: 0s - loss: 1.8526e-04
122/229 [==============>...............] - ETA: 0s - loss: 2.0994e-04
163/229 [====================>.........] - ETA: 0s - loss: 2.2165e-04
205/229 [=========================>....] - ETA: 0s - loss: 2.0555e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.3819e-04
    787. 

  787. Epoch 9/10
    788. 

  788. 
  1/229 [..............................] - ETA: 0s - loss: 1.3019e-04
 42/229 [====>.........................] - ETA: 0s - loss: 2.7307e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.2207e-04
122/229 [==============>...............] - ETA: 0s - loss: 1.9831e-04
162/229 [====================>.........] - ETA: 0s - loss: 2.0006e-04
204/229 [=========================>....] - ETA: 0s - loss: 1.9494e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6510e-04
    789. 

  789. Epoch 10/10
    790. 

  790. 
  1/229 [..............................] - ETA: 0s - loss: 3.2427e-05
 42/229 [====>.........................] - ETA: 0s - loss: 2.1861e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.9258e-04
125/229 [===============>..............] - ETA: 0s - loss: 1.8121e-04
167/229 [====================>.........] - ETA: 0s - loss: 1.7260e-04
208/229 [==========================>...] - ETA: 0s - loss: 2.2571e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.3050e-04
    791. 

  791. -> test with GAN.predict
    792. 

  792. GAN tn, fp: 571, 0
    793. 

  793. GAN fn, tp: 0, 17
    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: 570, 1
    799. 

  799. LR fn, tp: 0, 17
    800. 

  800. LR f1 score: 0.971
    801. 

  801. LR cohens kappa score: 0.971
    802. 

  802. LR average precision score: 1.000
    803. 

  803. 

  804. -> test with 'RF'
    805. 

  805. RF tn, fp: 571, 0
    806. 

  806. RF fn, tp: 0, 17
    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: 571, 0
    812. 

  812. GB fn, tp: 0, 17
    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: 568, 3
    818. 

  818. KNN fn, tp: 0, 17
    819. 

  819. KNN f1 score: 0.919
    820. 

  820. KNN cohens kappa score: 0.916
    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 2216 synthetic samples
    827. 

  827. -> retrain GAN for predict
    828. 

  828. Epoch 1/10
    829. 

  829. 
  1/229 [..............................] - ETA: 36s - loss: 0.0028
 43/229 [====>.........................] - ETA: 0s - loss: 0.0026 
 85/229 [==========>...................] - ETA: 0s - loss: 0.0017
127/229 [===============>..............] - ETA: 0s - loss: 0.0015
168/229 [=====================>........] - ETA: 0s - loss: 0.0013
206/229 [=========================>....] - ETA: 0s - loss: 0.0013
229/229 [==============================] - 0s 1ms/step - loss: 0.0012
    830. 

  830. Epoch 2/10
    831. 

  831. 
  1/229 [..............................] - ETA: 0s - loss: 9.8146e-05
 36/229 [===>..........................] - ETA: 0s - loss: 4.8161e-04
 74/229 [========>.....................] - ETA: 0s - loss: 0.0011    
116/229 [==============>...............] - ETA: 0s - loss: 0.0011
156/229 [===================>..........] - ETA: 0s - loss: 9.6267e-04
197/229 [========================>.....] - ETA: 0s - loss: 9.2412e-04
229/229 [==============================] - 0s 1ms/step - loss: 9.0159e-04
    832. 

  832. Epoch 3/10
    833. 

  833. 
  1/229 [..............................] - ETA: 0s - loss: 4.0530e-05
 40/229 [====>.........................] - ETA: 0s - loss: 8.0100e-04
 81/229 [=========>....................] - ETA: 0s - loss: 5.7884e-04
123/229 [===============>..............] - ETA: 0s - loss: 6.2948e-04
163/229 [====================>.........] - ETA: 0s - loss: 5.9758e-04
198/229 [========================>.....] - ETA: 0s - loss: 6.7847e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.3903e-04
    834. 

  834. Epoch 4/10
    835. 

  835. 
  1/229 [..............................] - ETA: 0s - loss: 1.6010e-04
 42/229 [====>.........................] - ETA: 0s - loss: 5.1441e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.2432e-04
122/229 [==============>...............] - ETA: 0s - loss: 4.4809e-04
163/229 [====================>.........] - ETA: 0s - loss: 5.6503e-04
204/229 [=========================>....] - ETA: 0s - loss: 5.4130e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.2050e-04
    836. 

  836. Epoch 5/10
    837. 

  837. 
  1/229 [..............................] - ETA: 0s - loss: 7.4611e-04
 40/229 [====>.........................] - ETA: 0s - loss: 3.6397e-04
 75/229 [========>.....................] - ETA: 0s - loss: 3.6871e-04
115/229 [==============>...............] - ETA: 0s - loss: 3.2681e-04
156/229 [===================>..........] - ETA: 0s - loss: 4.6321e-04
194/229 [========================>.....] - ETA: 0s - loss: 4.2266e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.9288e-04
    838. 

  838. Epoch 6/10
    839. 

  839. 
  1/229 [..............................] - ETA: 0s - loss: 5.9754e-05
 43/229 [====>.........................] - ETA: 0s - loss: 3.4208e-04
 84/229 [==========>...................] - ETA: 0s - loss: 3.7177e-04
124/229 [===============>..............] - ETA: 0s - loss: 3.7091e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.4726e-04
204/229 [=========================>....] - ETA: 0s - loss: 3.2226e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.1249e-04
    840. 

  840. Epoch 7/10
    841. 

  841. 
  1/229 [..............................] - ETA: 0s - loss: 1.1495e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.6389e-04
 80/229 [=========>....................] - ETA: 0s - loss: 2.9973e-04
121/229 [==============>...............] - ETA: 0s - loss: 2.9053e-04
162/229 [====================>.........] - ETA: 0s - loss: 2.5237e-04
204/229 [=========================>....] - ETA: 0s - loss: 2.3846e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4834e-04
    842. 

  842. Epoch 8/10
    843. 

  843. 
  1/229 [..............................] - ETA: 0s - loss: 5.6528e-04
 42/229 [====>.........................] - ETA: 0s - loss: 1.1780e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.8036e-04
125/229 [===============>..............] - ETA: 0s - loss: 2.6302e-04
167/229 [====================>.........] - ETA: 0s - loss: 2.4230e-04
207/229 [==========================>...] - ETA: 0s - loss: 2.2437e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1990e-04
    844. 

  844. Epoch 9/10
    845. 

  845. 
  1/229 [..............................] - ETA: 0s - loss: 2.0111e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.8117e-04
 77/229 [=========>....................] - ETA: 0s - loss: 2.0441e-04
111/229 [=============>................] - ETA: 0s - loss: 2.2320e-04
148/229 [==================>...........] - ETA: 0s - loss: 1.9399e-04
188/229 [=======================>......] - ETA: 0s - loss: 1.8669e-04
228/229 [============================>.] - ETA: 0s - loss: 1.7583e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.7553e-04
    846. 

  846. Epoch 10/10
    847. 

  847. 
  1/229 [..............................] - ETA: 0s - loss: 2.9425e-06
 41/229 [====>.........................] - ETA: 0s - loss: 1.2488e-04
 81/229 [=========>....................] - ETA: 0s - loss: 1.6079e-04
120/229 [==============>...............] - ETA: 0s - loss: 1.5365e-04
160/229 [===================>..........] - ETA: 0s - loss: 1.4120e-04
201/229 [=========================>....] - ETA: 0s - loss: 1.4623e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.4269e-04
    848. 

  848. -> test with GAN.predict
    849. 

  849. GAN tn, fp: 570, 0
    850. 

  850. GAN fn, tp: 0, 13
    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: 570, 0
    856. 

  856. LR fn, tp: 1, 12
    857. 

  857. LR f1 score: 0.960
    858. 

  858. LR cohens kappa score: 0.959
    859. 

  859. LR average precision score: 1.000
    860. 

  860. 

  861. -> test with 'RF'
    862. 

  862. RF tn, fp: 570, 0
    863. 

  863. RF fn, tp: 0, 13
    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: 570, 0
    869. 

  869. GB fn, tp: 0, 13
    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: 568, 2
    875. 

  875. KNN fn, tp: 0, 13
    876. 

  876. KNN f1 score: 0.929
    877. 

  877. KNN cohens kappa score: 0.927
    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 2219 synthetic samples
    888. 

  888. -> retrain GAN for predict
    889. 

  889. Epoch 1/10
    890. 

  890. 
  1/229 [..............................] - ETA: 36s - loss: 4.9009e-04
 41/229 [====>.........................] - ETA: 0s - loss: 0.0019     
 80/229 [=========>....................] - ETA: 0s - loss: 0.0024
121/229 [==============>...............] - ETA: 0s - loss: 0.0019
160/229 [===================>..........] - ETA: 0s - loss: 0.0016
200/229 [=========================>....] - ETA: 0s - loss: 0.0014
229/229 [==============================] - 0s 1ms/step - loss: 0.0013
    891. 

  891. Epoch 2/10
    892. 

  892. 
  1/229 [..............................] - ETA: 0s - loss: 1.2001e-04
 38/229 [===>..........................] - ETA: 0s - loss: 5.5836e-04
 79/229 [=========>....................] - ETA: 0s - loss: 7.0708e-04
118/229 [==============>...............] - ETA: 0s - loss: 8.3847e-04
158/229 [===================>..........] - ETA: 0s - loss: 7.8013e-04
201/229 [=========================>....] - ETA: 0s - loss: 0.0011    
229/229 [==============================] - 0s 1ms/step - loss: 0.0011
    893. 

  893. Epoch 3/10
    894. 

  894. 
  1/229 [..............................] - ETA: 0s - loss: 9.6634e-05
 42/229 [====>.........................] - ETA: 0s - loss: 4.7733e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.0555e-04
122/229 [==============>...............] - ETA: 0s - loss: 6.0680e-04
159/229 [===================>..........] - ETA: 0s - loss: 6.1354e-04
199/229 [=========================>....] - ETA: 0s - loss: 5.7517e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.9620e-04
    895. 

  895. Epoch 4/10
    896. 

  896. 
  1/229 [..............................] - ETA: 0s - loss: 6.4047e-04
 38/229 [===>..........................] - ETA: 0s - loss: 8.5025e-04
 79/229 [=========>....................] - ETA: 0s - loss: 0.0011    
117/229 [==============>...............] - ETA: 0s - loss: 9.5250e-04
158/229 [===================>..........] - ETA: 0s - loss: 7.8341e-04
198/229 [========================>.....] - ETA: 0s - loss: 6.7467e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.1768e-04
    897. 

  897. Epoch 5/10
    898. 

  898. 
  1/229 [..............................] - ETA: 0s - loss: 4.6315e-04
 41/229 [====>.........................] - ETA: 0s - loss: 4.4382e-04
 80/229 [=========>....................] - ETA: 0s - loss: 6.1660e-04
120/229 [==============>...............] - ETA: 0s - loss: 5.2785e-04
158/229 [===================>..........] - ETA: 0s - loss: 6.7969e-04
194/229 [========================>.....] - ETA: 0s - loss: 6.1615e-04
229/229 [==============================] - ETA: 0s - loss: 5.6313e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.6313e-04
    899. 

  899. Epoch 6/10
    900. 

  900. 
  1/229 [..............................] - ETA: 0s - loss: 4.3496e-05
 32/229 [===>..........................] - ETA: 0s - loss: 1.8895e-04
 68/229 [=======>......................] - ETA: 0s - loss: 4.0425e-04
106/229 [============>.................] - ETA: 0s - loss: 5.6003e-04
146/229 [==================>...........] - ETA: 0s - loss: 4.8390e-04
182/229 [======================>.......] - ETA: 0s - loss: 4.7799e-04
219/229 [===========================>..] - ETA: 0s - loss: 4.4636e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.3560e-04
    901. 

  901. Epoch 7/10
    902. 

  902. 
  1/229 [..............................] - ETA: 0s - loss: 5.8132e-04
 41/229 [====>.........................] - ETA: 0s - loss: 3.4981e-04
 79/229 [=========>....................] - ETA: 0s - loss: 3.3489e-04
120/229 [==============>...............] - ETA: 0s - loss: 3.4730e-04
158/229 [===================>..........] - ETA: 0s - loss: 4.4171e-04
198/229 [========================>.....] - ETA: 0s - loss: 3.9625e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.6781e-04
    903. 

  903. Epoch 8/10
    904. 

  904. 
  1/229 [..............................] - ETA: 0s - loss: 5.6880e-05
 39/229 [====>.........................] - ETA: 0s - loss: 3.0278e-04
 78/229 [=========>....................] - ETA: 0s - loss: 2.1884e-04
115/229 [==============>...............] - ETA: 0s - loss: 3.9228e-04
151/229 [==================>...........] - ETA: 0s - loss: 3.5891e-04
190/229 [=======================>......] - ETA: 0s - loss: 3.2459e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.0704e-04
    905. 

  905. Epoch 9/10
    906. 

  906. 
  1/229 [..............................] - ETA: 0s - loss: 3.1293e-04
 45/229 [====>.........................] - ETA: 0s - loss: 2.2300e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.5003e-04
122/229 [==============>...............] - ETA: 0s - loss: 2.5259e-04
160/229 [===================>..........] - ETA: 0s - loss: 2.9652e-04
200/229 [=========================>....] - ETA: 0s - loss: 2.5856e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6033e-04
    907. 

  907. Epoch 10/10
    908. 

  908. 
  1/229 [..............................] - ETA: 0s - loss: 5.2071e-04
 40/229 [====>.........................] - ETA: 0s - loss: 3.7866e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.5498e-04
120/229 [==============>...............] - ETA: 0s - loss: 2.3134e-04
160/229 [===================>..........] - ETA: 0s - loss: 2.4798e-04
200/229 [=========================>....] - ETA: 0s - loss: 2.3360e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1416e-04
    909. 

  909. -> test with GAN.predict
    910. 

  910. GAN tn, fp: 571, 0
    911. 

  911. GAN fn, tp: 0, 17
    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: 568, 3
    917. 

  917. LR fn, tp: 0, 17
    918. 

  918. LR f1 score: 0.919
    919. 

  919. LR cohens kappa score: 0.916
    920. 

  920. LR average precision score: 1.000
    921. 

  921. 

  922. -> test with 'RF'
    923. 

  923. RF tn, fp: 571, 0
    924. 

  924. RF fn, tp: 0, 17
    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: 571, 0
    930. 

  930. GB fn, tp: 0, 17
    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: 562, 9
    936. 

  936. KNN fn, tp: 0, 17
    937. 

  937. KNN f1 score: 0.791
    938. 

  938. KNN cohens kappa score: 0.783
    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 2219 synthetic samples
    945. 

  945. -> retrain GAN for predict
    946. 

  946. Epoch 1/10
    947. 

  947. 
  1/229 [..............................] - ETA: 38s - loss: 2.7466e-04
 41/229 [====>.........................] - ETA: 0s - loss: 7.6674e-04 
 82/229 [=========>....................] - ETA: 0s - loss: 5.9884e-04
121/229 [==============>...............] - ETA: 0s - loss: 9.5135e-04
162/229 [====================>.........] - ETA: 0s - loss: 8.5459e-04
203/229 [=========================>....] - ETA: 0s - loss: 9.1108e-04
229/229 [==============================] - 0s 1ms/step - loss: 8.4404e-04
    948. 

  948. Epoch 2/10
    949. 

  949. 
  1/229 [..............................] - ETA: 0s - loss: 1.1041e-04
 39/229 [====>.........................] - ETA: 0s - loss: 4.7627e-04
 74/229 [========>.....................] - ETA: 0s - loss: 4.1220e-04
106/229 [============>.................] - ETA: 0s - loss: 8.8676e-04
143/229 [=================>............] - ETA: 0s - loss: 7.8166e-04
182/229 [======================>.......] - ETA: 0s - loss: 7.6793e-04
223/229 [============================>.] - ETA: 0s - loss: 7.0842e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.0014e-04
    950. 

  950. Epoch 3/10
    951. 

  951. 
  1/229 [..............................] - ETA: 0s - loss: 2.8410e-04
 39/229 [====>.........................] - ETA: 0s - loss: 2.5175e-04
 79/229 [=========>....................] - ETA: 0s - loss: 4.0531e-04
120/229 [==============>...............] - ETA: 0s - loss: 4.3360e-04
162/229 [====================>.........] - ETA: 0s - loss: 4.4164e-04
204/229 [=========================>....] - ETA: 0s - loss: 6.1776e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.9887e-04
    952. 

  952. Epoch 4/10
    953. 

  953. 
  1/229 [..............................] - ETA: 0s - loss: 4.7001e-06
 40/229 [====>.........................] - ETA: 0s - loss: 2.3714e-04
 80/229 [=========>....................] - ETA: 0s - loss: 3.7086e-04
119/229 [==============>...............] - ETA: 0s - loss: 5.2327e-04
160/229 [===================>..........] - ETA: 0s - loss: 4.7711e-04
198/229 [========================>.....] - ETA: 0s - loss: 5.4798e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.1332e-04
    954. 

  954. Epoch 5/10
    955. 

  955. 
  1/229 [..............................] - ETA: 0s - loss: 3.4512e-05
 43/229 [====>.........................] - ETA: 0s - loss: 3.5244e-04
 83/229 [=========>....................] - ETA: 0s - loss: 3.6951e-04
122/229 [==============>...............] - ETA: 0s - loss: 2.9401e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.0997e-04
203/229 [=========================>....] - ETA: 0s - loss: 4.3753e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.3135e-04
    956. 

  956. Epoch 6/10
    957. 

  957. 
  1/229 [..............................] - ETA: 0s - loss: 4.0396e-04
 41/229 [====>.........................] - ETA: 0s - loss: 2.5844e-04
 77/229 [=========>....................] - ETA: 0s - loss: 2.0214e-04
116/229 [==============>...............] - ETA: 0s - loss: 5.1951e-04
158/229 [===================>..........] - ETA: 0s - loss: 4.4046e-04
199/229 [=========================>....] - ETA: 0s - loss: 4.0242e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.6928e-04
    958. 

  958. Epoch 7/10
    959. 

  959. 
  1/229 [..............................] - ETA: 0s - loss: 2.6974e-06
 40/229 [====>.........................] - ETA: 0s - loss: 6.4364e-04
 78/229 [=========>....................] - ETA: 0s - loss: 4.0630e-04
118/229 [==============>...............] - ETA: 0s - loss: 4.0508e-04
157/229 [===================>..........] - ETA: 0s - loss: 3.7077e-04
199/229 [=========================>....] - ETA: 0s - loss: 3.4076e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.2416e-04
    960. 

  960. Epoch 8/10
    961. 

  961. 
  1/229 [..............................] - ETA: 0s - loss: 6.8522e-05
 41/229 [====>.........................] - ETA: 0s - loss: 2.0442e-04
 78/229 [=========>....................] - ETA: 0s - loss: 1.9961e-04
118/229 [==============>...............] - ETA: 0s - loss: 2.3676e-04
157/229 [===================>..........] - ETA: 0s - loss: 2.7382e-04
198/229 [========================>.....] - ETA: 0s - loss: 2.9844e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6611e-04
    962. 

  962. Epoch 9/10
    963. 

  963. 
  1/229 [..............................] - ETA: 0s - loss: 3.5536e-05
 41/229 [====>.........................] - ETA: 0s - loss: 3.5239e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.6140e-04
120/229 [==============>...............] - ETA: 0s - loss: 2.8293e-04
154/229 [===================>..........] - ETA: 0s - loss: 2.5403e-04
188/229 [=======================>......] - ETA: 0s - loss: 2.1697e-04
221/229 [===========================>..] - ETA: 0s - loss: 2.5307e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.5203e-04
    964. 

  964. Epoch 10/10
    965. 

  965. 
  1/229 [..............................] - ETA: 0s - loss: 7.0980e-04
 41/229 [====>.........................] - ETA: 0s - loss: 2.9175e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.7962e-04
121/229 [==============>...............] - ETA: 0s - loss: 2.6260e-04
160/229 [===================>..........] - ETA: 0s - loss: 2.3028e-04
196/229 [========================>.....] - ETA: 0s - loss: 2.2121e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.1440e-04
    966. 

  966. -> test with GAN.predict
    967. 

  967. GAN tn, fp: 571, 0
    968. 

  968. GAN fn, tp: 0, 17
    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: 571, 0
    974. 

  974. LR fn, tp: 0, 17
    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: 571, 0
    981. 

  981. RF fn, tp: 0, 17
    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: 571, 0
    987. 

  987. GB fn, tp: 0, 17
    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: 569, 2
    993. 

  993. KNN fn, tp: 1, 16
    994. 

  994. KNN f1 score: 0.914
    995. 

  995. KNN cohens kappa score: 0.912
    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 2219 synthetic samples
    1002. 

  1002. -> retrain GAN for predict
    1003. 

  1003. Epoch 1/10
    1004. 

  1004. 
  1/229 [..............................] - ETA: 37s - loss: 0.0049
 36/229 [===>..........................] - ETA: 0s - loss: 0.0015 
 69/229 [========>.....................] - ETA: 0s - loss: 0.0015
105/229 [============>.................] - ETA: 0s - loss: 0.0013
142/229 [=================>............] - ETA: 0s - loss: 0.0014
181/229 [======================>.......] - ETA: 0s - loss: 0.0013
221/229 [===========================>..] - ETA: 0s - loss: 0.0013
229/229 [==============================] - 0s 1ms/step - loss: 0.0013
    1005. 

  1005. Epoch 2/10
    1006. 

  1006. 
  1/229 [..............................] - ETA: 0s - loss: 8.3564e-04
 39/229 [====>.........................] - ETA: 0s - loss: 0.0011    
 73/229 [========>.....................] - ETA: 0s - loss: 0.0012
111/229 [=============>................] - ETA: 0s - loss: 0.0011
150/229 [==================>...........] - ETA: 0s - loss: 0.0010
189/229 [=======================>......] - ETA: 0s - loss: 9.1662e-04
228/229 [============================>.] - ETA: 0s - loss: 0.0010    
229/229 [==============================] - 0s 1ms/step - loss: 0.0010
    1007. 

  1007. Epoch 3/10
    1008. 

  1008. 
  1/229 [..............................] - ETA: 0s - loss: 6.8282e-04
 41/229 [====>.........................] - ETA: 0s - loss: 7.6709e-04
 78/229 [=========>....................] - ETA: 0s - loss: 6.5001e-04
116/229 [==============>...............] - ETA: 0s - loss: 7.7018e-04
153/229 [===================>..........] - ETA: 0s - loss: 8.2641e-04
194/229 [========================>.....] - ETA: 0s - loss: 7.7762e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.6628e-04
    1009. 

  1009. Epoch 4/10
    1010. 

  1010. 
  1/229 [..............................] - ETA: 0s - loss: 1.2462e-04
 40/229 [====>.........................] - ETA: 0s - loss: 5.5024e-04
 80/229 [=========>....................] - ETA: 0s - loss: 5.3447e-04
121/229 [==============>...............] - ETA: 0s - loss: 5.7750e-04
162/229 [====================>.........] - ETA: 0s - loss: 5.7807e-04
200/229 [=========================>....] - ETA: 0s - loss: 6.2918e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.8879e-04
    1011. 

  1011. Epoch 5/10
    1012. 

  1012. 
  1/229 [..............................] - ETA: 0s - loss: 0.0018
 42/229 [====>.........................] - ETA: 0s - loss: 5.0776e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.5952e-04
116/229 [==============>...............] - ETA: 0s - loss: 4.7654e-04
150/229 [==================>...........] - ETA: 0s - loss: 4.2912e-04
185/229 [=======================>......] - ETA: 0s - loss: 4.2199e-04
221/229 [===========================>..] - ETA: 0s - loss: 4.7334e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.6356e-04
    1013. 

  1013. Epoch 6/10
    1014. 

  1014. 
  1/229 [..............................] - ETA: 0s - loss: 6.6018e-04
 42/229 [====>.........................] - ETA: 0s - loss: 4.9745e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.5877e-04
124/229 [===============>..............] - ETA: 0s - loss: 3.9582e-04
165/229 [====================>.........] - ETA: 0s - loss: 3.7500e-04
206/229 [=========================>....] - ETA: 0s - loss: 3.7003e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.7118e-04
    1015. 

  1015. Epoch 7/10
    1016. 

  1016. 
  1/229 [..............................] - ETA: 0s - loss: 6.1324e-04
 41/229 [====>.........................] - ETA: 0s - loss: 2.4386e-04
 81/229 [=========>....................] - ETA: 0s - loss: 2.2628e-04
120/229 [==============>...............] - ETA: 0s - loss: 2.4113e-04
160/229 [===================>..........] - ETA: 0s - loss: 2.3915e-04
201/229 [=========================>....] - ETA: 0s - loss: 2.4403e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.8417e-04
    1017. 

  1017. Epoch 8/10
    1018. 

  1018. 
  1/229 [..............................] - ETA: 0s - loss: 1.6092e-05
 42/229 [====>.........................] - ETA: 0s - loss: 2.0834e-04
 76/229 [========>.....................] - ETA: 0s - loss: 2.2396e-04
111/229 [=============>................] - ETA: 0s - loss: 1.9565e-04
151/229 [==================>...........] - ETA: 0s - loss: 1.9281e-04
190/229 [=======================>......] - ETA: 0s - loss: 2.3207e-04
226/229 [============================>.] - ETA: 0s - loss: 2.2777e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.3032e-04
    1019. 

  1019. Epoch 9/10
    1020. 

  1020. 
  1/229 [..............................] - ETA: 0s - loss: 3.3108e-04
 40/229 [====>.........................] - ETA: 0s - loss: 2.0757e-04
 80/229 [=========>....................] - ETA: 0s - loss: 1.7707e-04
122/229 [==============>...............] - ETA: 0s - loss: 1.6302e-04
164/229 [====================>.........] - ETA: 0s - loss: 1.5162e-04
205/229 [=========================>....] - ETA: 0s - loss: 1.8330e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.7636e-04
    1021. 

  1021. Epoch 10/10
    1022. 

  1022. 
  1/229 [..............................] - ETA: 0s - loss: 1.5233e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.4217e-04
 82/229 [=========>....................] - ETA: 0s - loss: 1.3358e-04
124/229 [===============>..............] - ETA: 0s - loss: 1.2946e-04
165/229 [====================>.........] - ETA: 0s - loss: 1.2930e-04
204/229 [=========================>....] - ETA: 0s - loss: 1.3771e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.4696e-04
    1023. 

  1023. -> test with GAN.predict
    1024. 

  1024. GAN tn, fp: 571, 0
    1025. 

  1025. GAN fn, tp: 0, 17
    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: 570, 1
    1031. 

  1031. LR fn, tp: 0, 17
    1032. 

  1032. LR f1 score: 0.971
    1033. 

  1033. LR cohens kappa score: 0.971
    1034. 

  1034. LR average precision score: 1.000
    1035. 

  1035. 

  1036. -> test with 'RF'
    1037. 

  1037. RF tn, fp: 571, 0
    1038. 

  1038. RF fn, tp: 0, 17
    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: 571, 0
    1044. 

  1044. GB fn, tp: 0, 17
    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: 565, 6
    1050. 

  1050. KNN fn, tp: 0, 17
    1051. 

  1051. KNN f1 score: 0.850
    1052. 

  1052. KNN cohens kappa score: 0.845
    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 2219 synthetic samples
    1059. 

  1059. -> retrain GAN for predict
    1060. 

  1060. Epoch 1/10
    1061. 

  1061. 
  1/229 [..............................] - ETA: 39s - loss: 4.3940e-05
 40/229 [====>.........................] - ETA: 0s - loss: 0.0013     
 77/229 [=========>....................] - ETA: 0s - loss: 0.0014
113/229 [=============>................] - ETA: 0s - loss: 0.0011
147/229 [==================>...........] - ETA: 0s - loss: 0.0012
180/229 [======================>.......] - ETA: 0s - loss: 0.0010
215/229 [===========================>..] - ETA: 0s - loss: 0.0010
229/229 [==============================] - 1s 1ms/step - loss: 0.0010
    1062. 

  1062. Epoch 2/10
    1063. 

  1063. 
  1/229 [..............................] - ETA: 0s - loss: 2.8541e-04
 37/229 [===>..........................] - ETA: 0s - loss: 8.7419e-04
 76/229 [========>.....................] - ETA: 0s - loss: 9.6742e-04
116/229 [==============>...............] - ETA: 0s - loss: 9.0633e-04
154/229 [===================>..........] - ETA: 0s - loss: 8.8512e-04
188/229 [=======================>......] - ETA: 0s - loss: 8.8895e-04
224/229 [============================>.] - ETA: 0s - loss: 8.7502e-04
229/229 [==============================] - 0s 1ms/step - loss: 9.3431e-04
    1064. 

  1064. Epoch 3/10
    1065. 

  1065. 
  1/229 [..............................] - ETA: 0s - loss: 2.5488e-04
 41/229 [====>.........................] - ETA: 0s - loss: 2.7984e-04
 77/229 [=========>....................] - ETA: 0s - loss: 8.6933e-04
114/229 [=============>................] - ETA: 0s - loss: 6.7873e-04
154/229 [===================>..........] - ETA: 0s - loss: 7.5338e-04
195/229 [========================>.....] - ETA: 0s - loss: 7.4668e-04
229/229 [==============================] - 0s 1ms/step - loss: 8.0072e-04
    1066. 

  1066. Epoch 4/10
    1067. 

  1067. 
  1/229 [..............................] - ETA: 0s - loss: 2.0748e-05
 40/229 [====>.........................] - ETA: 0s - loss: 2.7143e-04
 79/229 [=========>....................] - ETA: 0s - loss: 3.9009e-04
119/229 [==============>...............] - ETA: 0s - loss: 7.9413e-04
156/229 [===================>..........] - ETA: 0s - loss: 7.5723e-04
193/229 [========================>.....] - ETA: 0s - loss: 6.6130e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.0012e-04
    1068. 

  1068. Epoch 5/10
    1069. 

  1069. 
  1/229 [..............................] - ETA: 0s - loss: 1.9005e-05
 34/229 [===>..........................] - ETA: 0s - loss: 5.9465e-04
 68/229 [=======>......................] - ETA: 0s - loss: 6.5006e-04
105/229 [============>.................] - ETA: 0s - loss: 5.7927e-04
145/229 [=================>............] - ETA: 0s - loss: 6.1714e-04
184/229 [=======================>......] - ETA: 0s - loss: 5.2212e-04
224/229 [============================>.] - ETA: 0s - loss: 6.2248e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.1342e-04
    1070. 

  1070. Epoch 6/10
    1071. 

  1071. 
  1/229 [..............................] - ETA: 0s - loss: 6.6644e-04
 41/229 [====>.........................] - ETA: 0s - loss: 4.0432e-04
 80/229 [=========>....................] - ETA: 0s - loss: 3.0141e-04
121/229 [==============>...............] - ETA: 0s - loss: 4.0662e-04
158/229 [===================>..........] - ETA: 0s - loss: 4.8477e-04
196/229 [========================>.....] - ETA: 0s - loss: 4.7114e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.2136e-04
    1072. 

  1072. Epoch 7/10
    1073. 

  1073. 
  1/229 [..............................] - ETA: 0s - loss: 1.4108e-05
 39/229 [====>.........................] - ETA: 0s - loss: 2.2450e-04
 79/229 [=========>....................] - ETA: 0s - loss: 2.7636e-04
120/229 [==============>...............] - ETA: 0s - loss: 3.1924e-04
160/229 [===================>..........] - ETA: 0s - loss: 2.7577e-04
199/229 [=========================>....] - ETA: 0s - loss: 3.6548e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.5828e-04
    1074. 

  1074. Epoch 8/10
    1075. 

  1075. 
  1/229 [..............................] - ETA: 0s - loss: 5.9745e-05
 41/229 [====>.........................] - ETA: 0s - loss: 3.0048e-04
 81/229 [=========>....................] - ETA: 0s - loss: 4.4167e-04
119/229 [==============>...............] - ETA: 0s - loss: 3.4253e-04
158/229 [===================>..........] - ETA: 0s - loss: 4.2664e-04
197/229 [========================>.....] - ETA: 0s - loss: 3.7003e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.9906e-04
    1076. 

  1076. Epoch 9/10
    1077. 

  1077. 
  1/229 [..............................] - ETA: 0s - loss: 1.0176e-04
 42/229 [====>.........................] - ETA: 0s - loss: 1.2994e-04
 81/229 [=========>....................] - ETA: 0s - loss: 1.9555e-04
121/229 [==============>...............] - ETA: 0s - loss: 2.6734e-04
160/229 [===================>..........] - ETA: 0s - loss: 3.7066e-04
198/229 [========================>.....] - ETA: 0s - loss: 3.2065e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.4622e-04
    1078. 

  1078. Epoch 10/10
    1079. 

  1079. 
  1/229 [..............................] - ETA: 0s - loss: 1.8832e-05
 41/229 [====>.........................] - ETA: 0s - loss: 5.3749e-04
 83/229 [=========>....................] - ETA: 0s - loss: 4.4077e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.2313e-04
162/229 [====================>.........] - ETA: 0s - loss: 3.1795e-04
202/229 [=========================>....] - ETA: 0s - loss: 3.2291e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.9710e-04
    1080. 

  1080. -> test with GAN.predict
    1081. 

  1081. GAN tn, fp: 569, 2
    1082. 

  1082. GAN fn, tp: 0, 17
    1083. 

  1083. GAN f1 score: 0.944
    1084. 

  1084. GAN cohens kappa score: 0.943
    1085. 

  1085. 

  1086. -> test with 'LR'
    1087. 

  1087. LR tn, fp: 568, 3
    1088. 

  1088. LR fn, tp: 0, 17
    1089. 

  1089. LR f1 score: 0.919
    1090. 

  1090. LR cohens kappa score: 0.916
    1091. 

  1091. LR average precision score: 0.887
    1092. 

  1092. 

  1093. -> test with 'RF'
    1094. 

  1094. RF tn, fp: 571, 0
    1095. 

  1095. RF fn, tp: 0, 17
    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: 569, 2
    1101. 

  1101. GB fn, tp: 0, 17
    1102. 

  1102. GB f1 score: 0.944
    1103. 

  1103. GB cohens kappa score: 0.943
    1104. 

  1104. 

  1105. -> test with 'KNN'
    1106. 

  1106. KNN tn, fp: 568, 3
    1107. 

  1107. KNN fn, tp: 0, 17
    1108. 

  1108. KNN f1 score: 0.919
    1109. 

  1109. KNN cohens kappa score: 0.916
    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 2216 synthetic samples
    1116. 

  1116. -> retrain GAN for predict
    1117. 

  1117. Epoch 1/10
    1118. 

  1118. 
  1/229 [..............................] - ETA: 1:37 - loss: 0.0014
 37/229 [===>..........................] - ETA: 0s - loss: 4.5740e-04
 75/229 [========>.....................] - ETA: 0s - loss: 4.1482e-04
110/229 [=============>................] - ETA: 0s - loss: 3.9425e-04
147/229 [==================>...........] - ETA: 0s - loss: 3.4817e-04
182/229 [======================>.......] - ETA: 0s - loss: 4.0920e-04
222/229 [============================>.] - ETA: 0s - loss: 4.7137e-04
229/229 [==============================] - 1s 1ms/step - loss: 4.6912e-04
    1119. 

  1119. Epoch 2/10
    1120. 

  1120. 
  1/229 [..............................] - ETA: 0s - loss: 1.5364e-04
 33/229 [===>..........................] - ETA: 0s - loss: 3.4527e-04
 64/229 [=======>......................] - ETA: 0s - loss: 3.4348e-04
 96/229 [===========>..................] - ETA: 0s - loss: 3.2924e-04
126/229 [===============>..............] - ETA: 0s - loss: 3.4132e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.2583e-04
194/229 [========================>.....] - ETA: 0s - loss: 4.2129e-04
228/229 [============================>.] - ETA: 0s - loss: 4.0570e-04
229/229 [==============================] - 0s 2ms/step - loss: 4.0544e-04
    1121. 

  1121. Epoch 3/10
    1122. 

  1122. 
  1/229 [..............................] - ETA: 0s - loss: 1.9227e-04
 35/229 [===>..........................] - ETA: 0s - loss: 1.9116e-04
 70/229 [========>.....................] - ETA: 0s - loss: 2.1411e-04
105/229 [============>.................] - ETA: 0s - loss: 2.1348e-04
141/229 [=================>............] - ETA: 0s - loss: 3.2932e-04
175/229 [=====================>........] - ETA: 0s - loss: 3.3042e-04
211/229 [==========================>...] - ETA: 0s - loss: 3.3278e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.2012e-04
    1123. 

  1123. Epoch 4/10
    1124. 

  1124. 
  1/229 [..............................] - ETA: 0s - loss: 3.7516e-05
 33/229 [===>..........................] - ETA: 0s - loss: 1.5806e-04
 67/229 [=======>......................] - ETA: 0s - loss: 3.3975e-04
101/229 [============>.................] - ETA: 0s - loss: 3.1704e-04
140/229 [=================>............] - ETA: 0s - loss: 3.2826e-04
178/229 [======================>.......] - ETA: 0s - loss: 3.0283e-04
214/229 [===========================>..] - ETA: 0s - loss: 2.7731e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6693e-04
    1125. 

  1125. Epoch 5/10
    1126. 

  1126. 
  1/229 [..............................] - ETA: 0s - loss: 2.4312e-05
 36/229 [===>..........................] - ETA: 0s - loss: 3.8514e-04
 71/229 [========>.....................] - ETA: 0s - loss: 2.8263e-04
107/229 [=============>................] - ETA: 0s - loss: 2.5135e-04
141/229 [=================>............] - ETA: 0s - loss: 2.2544e-04
178/229 [======================>.......] - ETA: 0s - loss: 2.4395e-04
214/229 [===========================>..] - ETA: 0s - loss: 2.5164e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4138e-04
    1127. 

  1127. Epoch 6/10
    1128. 

  1128. 
  1/229 [..............................] - ETA: 0s - loss: 2.0140e-04
 36/229 [===>..........................] - ETA: 0s - loss: 1.3376e-04
 72/229 [========>.....................] - ETA: 0s - loss: 1.7072e-04
107/229 [=============>................] - ETA: 0s - loss: 2.4958e-04
143/229 [=================>............] - ETA: 0s - loss: 2.2965e-04
176/229 [======================>.......] - ETA: 0s - loss: 2.0620e-04
215/229 [===========================>..] - ETA: 0s - loss: 1.9382e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.8971e-04
    1129. 

  1129. Epoch 7/10
    1130. 

  1130. 
  1/229 [..............................] - ETA: 0s - loss: 1.2884e-04
 36/229 [===>..........................] - ETA: 0s - loss: 1.6648e-04
 70/229 [========>.....................] - ETA: 0s - loss: 1.5906e-04
106/229 [============>.................] - ETA: 0s - loss: 2.0863e-04
141/229 [=================>............] - ETA: 0s - loss: 1.9435e-04
178/229 [======================>.......] - ETA: 0s - loss: 1.7613e-04
214/229 [===========================>..] - ETA: 0s - loss: 1.5821e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.6158e-04
    1131. 

  1131. Epoch 8/10
    1132. 

  1132. 
  1/229 [..............................] - ETA: 0s - loss: 1.1655e-04
 36/229 [===>..........................] - ETA: 0s - loss: 1.2429e-04
 70/229 [========>.....................] - ETA: 0s - loss: 1.9870e-04
108/229 [=============>................] - ETA: 0s - loss: 1.7339e-04
140/229 [=================>............] - ETA: 0s - loss: 1.6239e-04
169/229 [=====================>........] - ETA: 0s - loss: 1.5437e-04
195/229 [========================>.....] - ETA: 0s - loss: 1.5506e-04
228/229 [============================>.] - ETA: 0s - loss: 1.4442e-04
229/229 [==============================] - 0s 2ms/step - loss: 1.4457e-04
    1133. 

  1133. Epoch 9/10
    1134. 

  1134. 
  1/229 [..............................] - ETA: 0s - loss: 1.1877e-05
 33/229 [===>..........................] - ETA: 0s - loss: 1.3423e-04
 68/229 [=======>......................] - ETA: 0s - loss: 1.0132e-04
106/229 [============>.................] - ETA: 0s - loss: 9.3521e-05
144/229 [=================>............] - ETA: 0s - loss: 1.2134e-04
180/229 [======================>.......] - ETA: 0s - loss: 1.1965e-04
216/229 [===========================>..] - ETA: 0s - loss: 1.2028e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.2089e-04
    1135. 

  1135. Epoch 10/10
    1136. 

  1136. 
  1/229 [..............................] - ETA: 0s - loss: 4.4571e-06
 37/229 [===>..........................] - ETA: 0s - loss: 7.7388e-05
 71/229 [========>.....................] - ETA: 0s - loss: 7.1121e-05
106/229 [============>.................] - ETA: 0s - loss: 7.3193e-05
140/229 [=================>............] - ETA: 0s - loss: 7.9492e-05
176/229 [======================>.......] - ETA: 0s - loss: 7.9454e-05
212/229 [==========================>...] - ETA: 0s - loss: 7.1794e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0880e-04
    1137. 

  1137. -> test with GAN.predict
    1138. 

  1138. GAN tn, fp: 570, 0
    1139. 

  1139. GAN fn, tp: 0, 13
    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: 570, 0
    1145. 

  1145. LR fn, tp: 1, 12
    1146. 

  1146. LR f1 score: 0.960
    1147. 

  1147. LR cohens kappa score: 0.959
    1148. 

  1148. LR average precision score: 0.982
    1149. 

  1149. 

  1150. -> test with 'RF'
    1151. 

  1151. RF tn, fp: 570, 0
    1152. 

  1152. RF fn, tp: 1, 12
    1153. 

  1153. RF f1 score: 0.960
    1154. 

  1154. RF cohens kappa score: 0.959
    1155. 

  1155. 

  1156. -> test with 'GB'
    1157. 

  1157. GB tn, fp: 570, 0
    1158. 

  1158. GB fn, tp: 0, 13
    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: 567, 3
    1164. 

  1164. KNN fn, tp: 0, 13
    1165. 

  1165. KNN f1 score: 0.897
    1166. 

  1166. KNN cohens kappa score: 0.894
    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 2219 synthetic samples
    1177. 

  1177. -> retrain GAN for predict
    1178. 

  1178. Epoch 1/10
    1179. 

  1179. 
  1/229 [..............................] - ETA: 40s - loss: 3.2768e-04
 34/229 [===>..........................] - ETA: 0s - loss: 6.7862e-04 
 68/229 [=======>......................] - ETA: 0s - loss: 5.4422e-04
103/229 [============>.................] - ETA: 0s - loss: 6.2827e-04
137/229 [================>.............] - ETA: 0s - loss: 0.0017    
172/229 [=====================>........] - ETA: 0s - loss: 0.0016
210/229 [==========================>...] - ETA: 0s - loss: 0.0014
229/229 [==============================] - 1s 1ms/step - loss: 0.0013
    1180. 

  1180. Epoch 2/10
    1181. 

  1181. 
  1/229 [..............................] - ETA: 0s - loss: 2.0371e-04
 35/229 [===>..........................] - ETA: 0s - loss: 0.0041    
 67/229 [=======>......................] - ETA: 0s - loss: 0.0026
100/229 [============>.................] - ETA: 0s - loss: 0.0020
133/229 [================>.............] - ETA: 0s - loss: 0.0016
167/229 [====================>.........] - ETA: 0s - loss: 0.0014
199/229 [=========================>....] - ETA: 0s - loss: 0.0012
229/229 [==============================] - 0s 2ms/step - loss: 0.0011
    1182. 

  1182. Epoch 3/10
    1183. 

  1183. 
  1/229 [..............................] - ETA: 0s - loss: 3.3318e-04
 34/229 [===>..........................] - ETA: 0s - loss: 3.7322e-04
 69/229 [========>.....................] - ETA: 0s - loss: 4.5028e-04
108/229 [=============>................] - ETA: 0s - loss: 0.0014    
143/229 [=================>............] - ETA: 0s - loss: 0.0011
179/229 [======================>.......] - ETA: 0s - loss: 0.0010
216/229 [===========================>..] - ETA: 0s - loss: 9.0356e-04
229/229 [==============================] - 0s 1ms/step - loss: 8.6690e-04
    1184. 

  1184. Epoch 4/10
    1185. 

  1185. 
  1/229 [..............................] - ETA: 0s - loss: 2.5573e-04
 34/229 [===>..........................] - ETA: 0s - loss: 3.2585e-04
 67/229 [=======>......................] - ETA: 0s - loss: 0.0015    
 98/229 [===========>..................] - ETA: 0s - loss: 0.0012
132/229 [================>.............] - ETA: 0s - loss: 0.0011
164/229 [====================>.........] - ETA: 0s - loss: 9.2985e-04
200/229 [=========================>....] - ETA: 0s - loss: 8.4042e-04
229/229 [==============================] - 0s 2ms/step - loss: 7.7420e-04
    1186. 

  1186. Epoch 5/10
    1187. 

  1187. 
  1/229 [..............................] - ETA: 0s - loss: 4.1194e-06
 36/229 [===>..........................] - ETA: 0s - loss: 0.0015    
 70/229 [========>.....................] - ETA: 0s - loss: 9.7549e-04
104/229 [============>.................] - ETA: 0s - loss: 7.7670e-04
138/229 [=================>............] - ETA: 0s - loss: 6.6726e-04
173/229 [=====================>........] - ETA: 0s - loss: 6.1878e-04
207/229 [==========================>...] - ETA: 0s - loss: 5.6302e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.4543e-04
    1188. 

  1188. Epoch 6/10
    1189. 

  1189. 
  1/229 [..............................] - ETA: 0s - loss: 6.8843e-05
 34/229 [===>..........................] - ETA: 0s - loss: 2.7606e-04
 66/229 [=======>......................] - ETA: 0s - loss: 2.8739e-04
103/229 [============>.................] - ETA: 0s - loss: 5.6088e-04
137/229 [================>.............] - ETA: 0s - loss: 5.4149e-04
173/229 [=====================>........] - ETA: 0s - loss: 5.0436e-04
208/229 [==========================>...] - ETA: 0s - loss: 4.6426e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.3759e-04
    1190. 

  1190. Epoch 7/10
    1191. 

  1191. 
  1/229 [..............................] - ETA: 0s - loss: 4.9954e-05
 37/229 [===>..........................] - ETA: 0s - loss: 8.3146e-04
 72/229 [========>.....................] - ETA: 0s - loss: 6.0233e-04
108/229 [=============>................] - ETA: 0s - loss: 5.0352e-04
147/229 [==================>...........] - ETA: 0s - loss: 4.4929e-04
179/229 [======================>.......] - ETA: 0s - loss: 3.9212e-04
215/229 [===========================>..] - ETA: 0s - loss: 3.6367e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.4994e-04
    1192. 

  1192. Epoch 8/10
    1193. 

  1193. 
  1/229 [..............................] - ETA: 0s - loss: 4.1377e-05
 34/229 [===>..........................] - ETA: 0s - loss: 2.3892e-04
 68/229 [=======>......................] - ETA: 0s - loss: 5.2127e-04
103/229 [============>.................] - ETA: 0s - loss: 4.0600e-04
130/229 [================>.............] - ETA: 0s - loss: 3.5701e-04
161/229 [====================>.........] - ETA: 0s - loss: 3.1400e-04
190/229 [=======================>......] - ETA: 0s - loss: 3.0125e-04
225/229 [============================>.] - ETA: 0s - loss: 2.7947e-04
229/229 [==============================] - 0s 2ms/step - loss: 2.7703e-04
    1194. 

  1194. Epoch 9/10
    1195. 

  1195. 
  1/229 [..............................] - ETA: 0s - loss: 4.4413e-05
 37/229 [===>..........................] - ETA: 0s - loss: 1.8755e-04
 71/229 [========>.....................] - ETA: 0s - loss: 2.1177e-04
105/229 [============>.................] - ETA: 0s - loss: 1.8765e-04
139/229 [=================>............] - ETA: 0s - loss: 2.7921e-04
176/229 [======================>.......] - ETA: 0s - loss: 2.7883e-04
212/229 [==========================>...] - ETA: 0s - loss: 2.5350e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4099e-04
    1196. 

  1196. Epoch 10/10
    1197. 

  1197. 
  1/229 [..............................] - ETA: 0s - loss: 2.5195e-05
 37/229 [===>..........................] - ETA: 0s - loss: 1.5006e-04
 69/229 [========>.....................] - ETA: 0s - loss: 1.2761e-04
101/229 [============>.................] - ETA: 0s - loss: 1.3130e-04
135/229 [================>.............] - ETA: 0s - loss: 1.2197e-04
171/229 [=====================>........] - ETA: 0s - loss: 1.7335e-04
204/229 [=========================>....] - ETA: 0s - loss: 1.7805e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.8297e-04
    1198. 

  1198. -> test with GAN.predict
    1199. 

  1199. GAN tn, fp: 571, 0
    1200. 

  1200. GAN fn, tp: 0, 17
    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: 566, 5
    1206. 

  1206. LR fn, tp: 0, 17
    1207. 

  1207. LR f1 score: 0.872
    1208. 

  1208. LR cohens kappa score: 0.867
    1209. 

  1209. LR average precision score: 1.000
    1210. 

  1210. 

  1211. -> test with 'RF'
    1212. 

  1212. RF tn, fp: 571, 0
    1213. 

  1213. RF fn, tp: 0, 17
    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: 571, 0
    1219. 

  1219. GB fn, tp: 0, 17
    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: 565, 6
    1225. 

  1225. KNN fn, tp: 0, 17
    1226. 

  1226. KNN f1 score: 0.850
    1227. 

  1227. KNN cohens kappa score: 0.845
    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 2219 synthetic samples
    1234. 

  1234. -> retrain GAN for predict
    1235. 

  1235. Epoch 1/10
    1236. 

  1236. 
  1/229 [..............................] - ETA: 48s - loss: 9.8848e-05
 39/229 [====>.........................] - ETA: 0s - loss: 5.0745e-04 
 75/229 [========>.....................] - ETA: 0s - loss: 4.0945e-04
112/229 [=============>................] - ETA: 0s - loss: 6.9750e-04
149/229 [==================>...........] - ETA: 0s - loss: 8.4481e-04
185/229 [=======================>......] - ETA: 0s - loss: 7.8393e-04
220/229 [===========================>..] - ETA: 0s - loss: 7.1364e-04
229/229 [==============================] - 1s 1ms/step - loss: 7.0227e-04
    1237. 

  1237. Epoch 2/10
    1238. 

  1238. 
  1/229 [..............................] - ETA: 0s - loss: 1.9706e-04
 40/229 [====>.........................] - ETA: 0s - loss: 0.0010    
 77/229 [=========>....................] - ETA: 0s - loss: 7.7420e-04
113/229 [=============>................] - ETA: 0s - loss: 6.1476e-04
150/229 [==================>...........] - ETA: 0s - loss: 5.7468e-04
184/229 [=======================>......] - ETA: 0s - loss: 5.8068e-04
222/229 [============================>.] - ETA: 0s - loss: 6.0640e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.9861e-04
    1239. 

  1239. Epoch 3/10
    1240. 

  1240. 
  1/229 [..............................] - ETA: 0s - loss: 3.3823e-05
 37/229 [===>..........................] - ETA: 0s - loss: 8.8752e-04
 74/229 [========>.....................] - ETA: 0s - loss: 6.2896e-04
106/229 [============>.................] - ETA: 0s - loss: 5.5894e-04
141/229 [=================>............] - ETA: 0s - loss: 5.1266e-04
176/229 [======================>.......] - ETA: 0s - loss: 4.4235e-04
212/229 [==========================>...] - ETA: 0s - loss: 4.3468e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4648e-04
    1241. 

  1241. Epoch 4/10
    1242. 

  1242. 
  1/229 [..............................] - ETA: 0s - loss: 2.5588e-05
 36/229 [===>..........................] - ETA: 0s - loss: 3.0648e-04
 71/229 [========>.....................] - ETA: 0s - loss: 2.3595e-04
105/229 [============>.................] - ETA: 0s - loss: 4.4439e-04
138/229 [=================>............] - ETA: 0s - loss: 4.5884e-04
173/229 [=====================>........] - ETA: 0s - loss: 4.0921e-04
208/229 [==========================>...] - ETA: 0s - loss: 4.3262e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.3751e-04
    1243. 

  1243. Epoch 5/10
    1244. 

  1244. 
  1/229 [..............................] - ETA: 0s - loss: 9.0947e-04
 33/229 [===>..........................] - ETA: 0s - loss: 2.3641e-04
 63/229 [=======>......................] - ETA: 0s - loss: 1.7785e-04
 91/229 [==========>...................] - ETA: 0s - loss: 1.5570e-04
122/229 [==============>...............] - ETA: 0s - loss: 1.7341e-04
155/229 [===================>..........] - ETA: 0s - loss: 2.3230e-04
188/229 [=======================>......] - ETA: 0s - loss: 2.4678e-04
224/229 [============================>.] - ETA: 0s - loss: 3.2461e-04
229/229 [==============================] - 0s 2ms/step - loss: 3.2795e-04
    1245. 

  1245. Epoch 6/10
    1246. 

  1246. 
  1/229 [..............................] - ETA: 0s - loss: 4.7992e-04
 34/229 [===>..........................] - ETA: 0s - loss: 2.1340e-04
 67/229 [=======>......................] - ETA: 0s - loss: 3.8919e-04
102/229 [============>.................] - ETA: 0s - loss: 3.5515e-04
134/229 [================>.............] - ETA: 0s - loss: 3.3896e-04
166/229 [====================>.........] - ETA: 0s - loss: 3.2604e-04
200/229 [=========================>....] - ETA: 0s - loss: 2.9598e-04
229/229 [==============================] - 0s 2ms/step - loss: 2.8004e-04
    1247. 

  1247. Epoch 7/10
    1248. 

  1248. 
  1/229 [..............................] - ETA: 0s - loss: 2.1412e-05
 35/229 [===>..........................] - ETA: 0s - loss: 5.8847e-04
 66/229 [=======>......................] - ETA: 0s - loss: 4.2164e-04
101/229 [============>.................] - ETA: 0s - loss: 3.5603e-04
138/229 [=================>............] - ETA: 0s - loss: 2.9236e-04
174/229 [=====================>........] - ETA: 0s - loss: 2.7085e-04
210/229 [==========================>...] - ETA: 0s - loss: 2.3588e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2275e-04
    1249. 

  1249. Epoch 8/10
    1250. 

  1250. 
  1/229 [..............................] - ETA: 0s - loss: 3.5847e-05
 40/229 [====>.........................] - ETA: 0s - loss: 3.0846e-04
 79/229 [=========>....................] - ETA: 0s - loss: 2.5180e-04
116/229 [==============>...............] - ETA: 0s - loss: 3.0191e-04
155/229 [===================>..........] - ETA: 0s - loss: 2.7410e-04
187/229 [=======================>......] - ETA: 0s - loss: 2.4196e-04
221/229 [===========================>..] - ETA: 0s - loss: 2.3392e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2874e-04
    1251. 

  1251. Epoch 9/10
    1252. 

  1252. 
  1/229 [..............................] - ETA: 0s - loss: 5.3499e-05
 37/229 [===>..........................] - ETA: 0s - loss: 1.0253e-04
 71/229 [========>.....................] - ETA: 0s - loss: 9.2093e-05
101/229 [============>.................] - ETA: 0s - loss: 1.3328e-04
139/229 [=================>............] - ETA: 0s - loss: 1.4508e-04
176/229 [======================>.......] - ETA: 0s - loss: 1.4229e-04
211/229 [==========================>...] - ETA: 0s - loss: 1.5354e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.7475e-04
    1253. 

  1253. Epoch 10/10
    1254. 

  1254. 
  1/229 [..............................] - ETA: 0s - loss: 3.3243e-04
 37/229 [===>..........................] - ETA: 0s - loss: 2.2361e-04
 72/229 [========>.....................] - ETA: 0s - loss: 1.6924e-04
108/229 [=============>................] - ETA: 0s - loss: 1.9456e-04
141/229 [=================>............] - ETA: 0s - loss: 1.7736e-04
173/229 [=====================>........] - ETA: 0s - loss: 1.5586e-04
208/229 [==========================>...] - ETA: 0s - loss: 1.4366e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.4428e-04
    1255. 

  1255. -> test with GAN.predict
    1256. 

  1256. GAN tn, fp: 570, 1
    1257. 

  1257. GAN fn, tp: 0, 17
    1258. 

  1258. GAN f1 score: 0.971
    1259. 

  1259. GAN cohens kappa score: 0.971
    1260. 

  1260. 

  1261. -> test with 'LR'
    1262. 

  1262. LR tn, fp: 570, 1
    1263. 

  1263. LR fn, tp: 0, 17
    1264. 

  1264. LR f1 score: 0.971
    1265. 

  1265. LR cohens kappa score: 0.971
    1266. 

  1266. LR average precision score: 0.990
    1267. 

  1267. 

  1268. -> test with 'RF'
    1269. 

  1269. RF tn, fp: 571, 0
    1270. 

  1270. RF fn, tp: 0, 17
    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: 571, 0
    1276. 

  1276. GB fn, tp: 0, 17
    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: 571, 0
    1282. 

  1282. KNN fn, tp: 0, 17
    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 2219 synthetic samples
    1291. 

  1291. -> retrain GAN for predict
    1292. 

  1292. Epoch 1/10
    1293. 

  1293. 
  1/229 [..............................] - ETA: 35s - loss: 2.8038e-04
 40/229 [====>.........................] - ETA: 0s - loss: 4.7515e-04 
 80/229 [=========>....................] - ETA: 0s - loss: 4.6248e-04
120/229 [==============>...............] - ETA: 0s - loss: 5.7530e-04
160/229 [===================>..........] - ETA: 0s - loss: 8.4944e-04
200/229 [=========================>....] - ETA: 0s - loss: 7.7721e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.4948e-04
    1294. 

  1294. Epoch 2/10
    1295. 

  1295. 
  1/229 [..............................] - ETA: 0s - loss: 2.0797e-04
 42/229 [====>.........................] - ETA: 0s - loss: 0.0013    
 84/229 [==========>...................] - ETA: 0s - loss: 9.7285e-04
123/229 [===============>..............] - ETA: 0s - loss: 7.8376e-04
162/229 [====================>.........] - ETA: 0s - loss: 6.6307e-04
194/229 [========================>.....] - ETA: 0s - loss: 6.5960e-04
228/229 [============================>.] - ETA: 0s - loss: 6.2061e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.1979e-04
    1296. 

  1296. Epoch 3/10
    1297. 

  1297. 
  1/229 [..............................] - ETA: 0s - loss: 4.1900e-04
 36/229 [===>..........................] - ETA: 0s - loss: 4.5312e-04
 67/229 [=======>......................] - ETA: 0s - loss: 8.4752e-04
103/229 [============>.................] - ETA: 0s - loss: 6.9051e-04
136/229 [================>.............] - ETA: 0s - loss: 6.2527e-04
173/229 [=====================>........] - ETA: 0s - loss: 5.5022e-04
207/229 [==========================>...] - ETA: 0s - loss: 5.4810e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.1724e-04
    1298. 

  1298. Epoch 4/10
    1299. 

  1299. 
  1/229 [..............................] - ETA: 0s - loss: 1.2652e-05
 36/229 [===>..........................] - ETA: 0s - loss: 2.9407e-04
 71/229 [========>.....................] - ETA: 0s - loss: 6.2269e-04
108/229 [=============>................] - ETA: 0s - loss: 5.0546e-04
141/229 [=================>............] - ETA: 0s - loss: 4.5206e-04
172/229 [=====================>........] - ETA: 0s - loss: 4.2020e-04
209/229 [==========================>...] - ETA: 0s - loss: 4.3842e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.2536e-04
    1300. 

  1300. Epoch 5/10
    1301. 

  1301. 
  1/229 [..............................] - ETA: 0s - loss: 1.0566e-05
 30/229 [==>...........................] - ETA: 0s - loss: 7.8820e-04
 63/229 [=======>......................] - ETA: 0s - loss: 5.8119e-04
 92/229 [===========>..................] - ETA: 0s - loss: 4.5707e-04
127/229 [===============>..............] - ETA: 0s - loss: 3.8657e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.7807e-04
200/229 [=========================>....] - ETA: 0s - loss: 3.7204e-04
229/229 [==============================] - 0s 2ms/step - loss: 3.5244e-04
    1302. 

  1302. Epoch 6/10
    1303. 

  1303. 
  1/229 [..............................] - ETA: 0s - loss: 9.5021e-05
 34/229 [===>..........................] - ETA: 0s - loss: 2.5700e-04
 72/229 [========>.....................] - ETA: 0s - loss: 2.5736e-04
103/229 [============>.................] - ETA: 0s - loss: 3.5904e-04
130/229 [================>.............] - ETA: 0s - loss: 3.3370e-04
163/229 [====================>.........] - ETA: 0s - loss: 3.2548e-04
198/229 [========================>.....] - ETA: 0s - loss: 2.9594e-04
229/229 [==============================] - 0s 2ms/step - loss: 2.7890e-04
    1304. 

  1304. Epoch 7/10
    1305. 

  1305. 
  1/229 [..............................] - ETA: 0s - loss: 3.1343e-04
 35/229 [===>..........................] - ETA: 0s - loss: 1.2650e-04
 70/229 [========>.....................] - ETA: 0s - loss: 3.3380e-04
105/229 [============>.................] - ETA: 0s - loss: 2.8942e-04
144/229 [=================>............] - ETA: 0s - loss: 2.7892e-04
177/229 [======================>.......] - ETA: 0s - loss: 2.4974e-04
215/229 [===========================>..] - ETA: 0s - loss: 2.4780e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4681e-04
    1306. 

  1306. Epoch 8/10
    1307. 

  1307. 
  1/229 [..............................] - ETA: 0s - loss: 7.5230e-05
 37/229 [===>..........................] - ETA: 0s - loss: 1.5520e-04
 73/229 [========>.....................] - ETA: 0s - loss: 1.8804e-04
105/229 [============>.................] - ETA: 0s - loss: 2.3929e-04
141/229 [=================>............] - ETA: 0s - loss: 2.3029e-04
177/229 [======================>.......] - ETA: 0s - loss: 2.1416e-04
213/229 [==========================>...] - ETA: 0s - loss: 1.9668e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.9244e-04
    1308. 

  1308. Epoch 9/10
    1309. 

  1309. 
  1/229 [..............................] - ETA: 0s - loss: 1.1654e-04
 34/229 [===>..........................] - ETA: 0s - loss: 1.9764e-04
 71/229 [========>.....................] - ETA: 0s - loss: 2.3386e-04
108/229 [=============>................] - ETA: 0s - loss: 2.0933e-04
146/229 [==================>...........] - ETA: 0s - loss: 2.0897e-04
181/229 [======================>.......] - ETA: 0s - loss: 1.9538e-04
215/229 [===========================>..] - ETA: 0s - loss: 1.8446e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.7800e-04
    1310. 

  1310. Epoch 10/10
    1311. 

  1311. 
  1/229 [..............................] - ETA: 0s - loss: 1.6540e-05
 40/229 [====>.........................] - ETA: 0s - loss: 8.9745e-05
 80/229 [=========>....................] - ETA: 0s - loss: 1.5246e-04
118/229 [==============>...............] - ETA: 0s - loss: 1.3791e-04
157/229 [===================>..........] - ETA: 0s - loss: 1.5799e-04
198/229 [========================>.....] - ETA: 0s - loss: 1.5247e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.5412e-04
    1312. 

  1312. -> test with GAN.predict
    1313. 

  1313. GAN tn, fp: 571, 0
    1314. 

  1314. GAN fn, tp: 0, 17
    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: 571, 0
    1320. 

  1320. LR fn, tp: 0, 17
    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: 571, 0
    1327. 

  1327. RF fn, tp: 0, 17
    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: 571, 0
    1333. 

  1333. GB fn, tp: 0, 17
    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: 566, 5
    1339. 

  1339. KNN fn, tp: 0, 17
    1340. 

  1340. KNN f1 score: 0.872
    1341. 

  1341. KNN cohens kappa score: 0.867
    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 2219 synthetic samples
    1348. 

  1348. -> retrain GAN for predict
    1349. 

  1349. Epoch 1/10
    1350. 

  1350. 
  1/229 [..............................] - ETA: 45s - loss: 0.0013
 41/229 [====>.........................] - ETA: 0s - loss: 9.4635e-04
 81/229 [=========>....................] - ETA: 0s - loss: 7.4982e-04
123/229 [===============>..............] - ETA: 0s - loss: 6.7754e-04
162/229 [====================>.........] - ETA: 0s - loss: 6.4721e-04
196/229 [========================>.....] - ETA: 0s - loss: 5.9004e-04
229/229 [==============================] - 1s 1ms/step - loss: 7.6490e-04
    1351. 

  1351. Epoch 2/10
    1352. 

  1352. 
  1/229 [..............................] - ETA: 0s - loss: 4.1442e-04
 39/229 [====>.........................] - ETA: 0s - loss: 9.3833e-04
 80/229 [=========>....................] - ETA: 0s - loss: 6.7077e-04
120/229 [==============>...............] - ETA: 0s - loss: 6.4016e-04
158/229 [===================>..........] - ETA: 0s - loss: 7.3675e-04
200/229 [=========================>....] - ETA: 0s - loss: 6.8897e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.3890e-04
    1353. 

  1353. Epoch 3/10
    1354. 

  1354. 
  1/229 [..............................] - ETA: 0s - loss: 1.3329e-04
 43/229 [====>.........................] - ETA: 0s - loss: 5.4927e-04
 83/229 [=========>....................] - ETA: 0s - loss: 4.7615e-04
123/229 [===============>..............] - ETA: 0s - loss: 4.7268e-04
164/229 [====================>.........] - ETA: 0s - loss: 4.1970e-04
205/229 [=========================>....] - ETA: 0s - loss: 4.0591e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.1939e-04
    1355. 

  1355. Epoch 4/10
    1356. 

  1356. 
  1/229 [..............................] - ETA: 0s - loss: 1.3170e-04
 41/229 [====>.........................] - ETA: 0s - loss: 5.2677e-04
 77/229 [=========>....................] - ETA: 0s - loss: 4.2191e-04
118/229 [==============>...............] - ETA: 0s - loss: 3.9583e-04
157/229 [===================>..........] - ETA: 0s - loss: 3.6381e-04
198/229 [========================>.....] - ETA: 0s - loss: 3.4904e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4499e-04
    1357. 

  1357. Epoch 5/10
    1358. 

  1358. 
  1/229 [..............................] - ETA: 0s - loss: 7.5911e-04
 38/229 [===>..........................] - ETA: 0s - loss: 7.2108e-04
 78/229 [=========>....................] - ETA: 0s - loss: 5.0947e-04
119/229 [==============>...............] - ETA: 0s - loss: 3.9804e-04
157/229 [===================>..........] - ETA: 0s - loss: 3.5652e-04
195/229 [========================>.....] - ETA: 0s - loss: 3.4043e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.6252e-04
    1359. 

  1359. Epoch 6/10
    1360. 

  1360. 
  1/229 [..............................] - ETA: 0s - loss: 9.9070e-05
 42/229 [====>.........................] - ETA: 0s - loss: 6.0094e-04
 81/229 [=========>....................] - ETA: 0s - loss: 4.6051e-04
123/229 [===============>..............] - ETA: 0s - loss: 3.7982e-04
162/229 [====================>.........] - ETA: 0s - loss: 3.5346e-04
201/229 [=========================>....] - ETA: 0s - loss: 3.1762e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.0639e-04
    1361. 

  1361. Epoch 7/10
    1362. 

  1362. 
  1/229 [..............................] - ETA: 0s - loss: 8.1180e-05
 40/229 [====>.........................] - ETA: 0s - loss: 4.7241e-04
 81/229 [=========>....................] - ETA: 0s - loss: 3.9740e-04
121/229 [==============>...............] - ETA: 0s - loss: 3.2185e-04
159/229 [===================>..........] - ETA: 0s - loss: 3.0931e-04
199/229 [=========================>....] - ETA: 0s - loss: 2.6207e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4529e-04
    1363. 

  1363. Epoch 8/10
    1364. 

  1364. 
  1/229 [..............................] - ETA: 0s - loss: 2.5192e-04
 42/229 [====>.........................] - ETA: 0s - loss: 1.6142e-04
 82/229 [=========>....................] - ETA: 0s - loss: 1.4080e-04
121/229 [==============>...............] - ETA: 0s - loss: 1.4272e-04
161/229 [====================>.........] - ETA: 0s - loss: 1.6200e-04
197/229 [========================>.....] - ETA: 0s - loss: 1.5633e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.0875e-04
    1365. 

  1365. Epoch 9/10
    1366. 

  1366. 
  1/229 [..............................] - ETA: 0s - loss: 1.4526e-04
 34/229 [===>..........................] - ETA: 0s - loss: 2.5258e-04
 73/229 [========>.....................] - ETA: 0s - loss: 1.9308e-04
110/229 [=============>................] - ETA: 0s - loss: 2.0753e-04
150/229 [==================>...........] - ETA: 0s - loss: 1.9438e-04
189/229 [=======================>......] - ETA: 0s - loss: 1.7196e-04
228/229 [============================>.] - ETA: 0s - loss: 2.0979e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.0980e-04
    1367. 

  1367. Epoch 10/10
    1368. 

  1368. 
  1/229 [..............................] - ETA: 0s - loss: 1.8282e-04
 43/229 [====>.........................] - ETA: 0s - loss: 2.3476e-04
 86/229 [==========>...................] - ETA: 0s - loss: 1.9471e-04
125/229 [===============>..............] - ETA: 0s - loss: 1.9112e-04
166/229 [====================>.........] - ETA: 0s - loss: 1.8633e-04
206/229 [=========================>....] - ETA: 0s - loss: 1.6840e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.6133e-04
    1369. 

  1369. -> test with GAN.predict
    1370. 

  1370. GAN tn, fp: 571, 0
    1371. 

  1371. GAN fn, tp: 0, 17
    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: 570, 1
    1377. 

  1377. LR fn, tp: 1, 16
    1378. 

  1378. LR f1 score: 0.941
    1379. 

  1379. LR cohens kappa score: 0.939
    1380. 

  1380. LR average precision score: 0.993
    1381. 

  1381. 

  1382. -> test with 'RF'
    1383. 

  1383. RF tn, fp: 571, 0
    1384. 

  1384. RF fn, tp: 0, 17
    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: 571, 0
    1390. 

  1390. GB fn, tp: 0, 17
    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: 567, 4
    1396. 

  1396. KNN fn, tp: 0, 17
    1397. 

  1397. KNN f1 score: 0.895
    1398. 

  1398. KNN cohens kappa score: 0.891
    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 2216 synthetic samples
    1405. 

  1405. -> retrain GAN for predict
    1406. 

  1406. Epoch 1/10
    1407. 

  1407. 
  1/229 [..............................] - ETA: 44s - loss: 0.0020
 42/229 [====>.........................] - ETA: 0s - loss: 4.3030e-04
 84/229 [==========>...................] - ETA: 0s - loss: 6.6589e-04
125/229 [===============>..............] - ETA: 0s - loss: 0.0010    
166/229 [====================>.........] - ETA: 0s - loss: 9.3516e-04
208/229 [==========================>...] - ETA: 0s - loss: 9.6447e-04
229/229 [==============================] - 0s 1ms/step - loss: 9.4350e-04
    1408. 

  1408. Epoch 2/10
    1409. 

  1409. 
  1/229 [..............................] - ETA: 0s - loss: 6.2648e-04
 42/229 [====>.........................] - ETA: 0s - loss: 5.5024e-04
 82/229 [=========>....................] - ETA: 0s - loss: 4.2784e-04
122/229 [==============>...............] - ETA: 0s - loss: 4.9752e-04
163/229 [====================>.........] - ETA: 0s - loss: 5.0361e-04
203/229 [=========================>....] - ETA: 0s - loss: 7.1788e-04
229/229 [==============================] - 0s 1ms/step - loss: 7.2824e-04
    1410. 

  1410. Epoch 3/10
    1411. 

  1411. 
  1/229 [..............................] - ETA: 0s - loss: 0.0016
 41/229 [====>.........................] - ETA: 0s - loss: 6.5081e-04
 81/229 [=========>....................] - ETA: 0s - loss: 4.7432e-04
123/229 [===============>..............] - ETA: 0s - loss: 4.6965e-04
163/229 [====================>.........] - ETA: 0s - loss: 4.5907e-04
197/229 [========================>.....] - ETA: 0s - loss: 6.2081e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.1793e-04
    1412. 

  1412. Epoch 4/10
    1413. 

  1413. 
  1/229 [..............................] - ETA: 0s - loss: 2.9833e-05
 36/229 [===>..........................] - ETA: 0s - loss: 4.6681e-04
 78/229 [=========>....................] - ETA: 0s - loss: 3.6769e-04
118/229 [==============>...............] - ETA: 0s - loss: 6.0693e-04
159/229 [===================>..........] - ETA: 0s - loss: 5.6138e-04
200/229 [=========================>....] - ETA: 0s - loss: 5.0995e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.0617e-04
    1414. 

  1414. Epoch 5/10
    1415. 

  1415. 
  1/229 [..............................] - ETA: 0s - loss: 6.6776e-04
 43/229 [====>.........................] - ETA: 0s - loss: 3.9354e-04
 84/229 [==========>...................] - ETA: 0s - loss: 3.7626e-04
125/229 [===============>..............] - ETA: 0s - loss: 3.3177e-04
166/229 [====================>.........] - ETA: 0s - loss: 4.8185e-04
206/229 [=========================>....] - ETA: 0s - loss: 4.5870e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.4874e-04
    1416. 

  1416. Epoch 6/10
    1417. 

  1417. 
  1/229 [..............................] - ETA: 0s - loss: 3.0817e-04
 41/229 [====>.........................] - ETA: 0s - loss: 4.4389e-04
 82/229 [=========>....................] - ETA: 0s - loss: 3.2590e-04
123/229 [===============>..............] - ETA: 0s - loss: 4.3784e-04
164/229 [====================>.........] - ETA: 0s - loss: 3.9437e-04
205/229 [=========================>....] - ETA: 0s - loss: 3.8281e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.7278e-04
    1418. 

  1418. Epoch 7/10
    1419. 

  1419. 
  1/229 [..............................] - ETA: 0s - loss: 2.9540e-06
 39/229 [====>.........................] - ETA: 0s - loss: 1.2713e-04
 77/229 [=========>....................] - ETA: 0s - loss: 1.5865e-04
114/229 [=============>................] - ETA: 0s - loss: 3.1019e-04
146/229 [==================>...........] - ETA: 0s - loss: 3.3600e-04
184/229 [=======================>......] - ETA: 0s - loss: 3.2515e-04
224/229 [============================>.] - ETA: 0s - loss: 3.1211e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.1375e-04
    1420. 

  1420. Epoch 8/10
    1421. 

  1421. 
  1/229 [..............................] - ETA: 0s - loss: 9.0148e-05
 42/229 [====>.........................] - ETA: 0s - loss: 4.5271e-04
 83/229 [=========>....................] - ETA: 0s - loss: 3.2084e-04
124/229 [===============>..............] - ETA: 0s - loss: 2.9853e-04
165/229 [====================>.........] - ETA: 0s - loss: 2.7481e-04
207/229 [==========================>...] - ETA: 0s - loss: 2.7766e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.6535e-04
    1422. 

  1422. Epoch 9/10
    1423. 

  1423. 
  1/229 [..............................] - ETA: 0s - loss: 1.4477e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.6742e-04
 83/229 [=========>....................] - ETA: 0s - loss: 1.8308e-04
124/229 [===============>..............] - ETA: 0s - loss: 1.7498e-04
164/229 [====================>.........] - ETA: 0s - loss: 1.9138e-04
204/229 [=========================>....] - ETA: 0s - loss: 2.2665e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2909e-04
    1424. 

  1424. Epoch 10/10
    1425. 

  1425. 
  1/229 [..............................] - ETA: 0s - loss: 4.4422e-05
 41/229 [====>.........................] - ETA: 0s - loss: 1.6034e-04
 82/229 [=========>....................] - ETA: 0s - loss: 2.3590e-04
123/229 [===============>..............] - ETA: 0s - loss: 2.0840e-04
164/229 [====================>.........] - ETA: 0s - loss: 2.0995e-04
206/229 [=========================>....] - ETA: 0s - loss: 1.8833e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.9087e-04
    1426. 

  1426. -> test with GAN.predict
    1427. 

  1427. GAN tn, fp: 570, 0
    1428. 

  1428. GAN fn, tp: 0, 13
    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: 570, 0
    1434. 

  1434. LR fn, tp: 0, 13
    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: 570, 0
    1441. 

  1441. RF fn, tp: 0, 13
    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: 570, 0
    1447. 

  1447. GB fn, tp: 0, 13
    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: 567, 3
    1453. 

  1453. KNN fn, tp: 0, 13
    1454. 

  1454. KNN f1 score: 0.897
    1455. 

  1455. KNN cohens kappa score: 0.894
    1456. 

  1456. 

  1457. ### Exercise is done.
    1458. 

  1458. 

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

  1460. maximum:
    1461. 

  1461. LR tn, fp: 571, 5
    1462. 

  1462. LR fn, tp: 2, 17
    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: 569.6, 1.2
    1470. 

  1470. LR fn, tp: 0.4, 15.8
    1471. 

  1471. LR f1 score: 0.952
    1472. 

  1472. LR cohens kappa score: 0.951
    1473. 

  1473. LR average precision score: 0.989
    1474. 

  1474. 

  1475. 

  1476. minimum:
    1477. 

  1477. LR tn, fp: 566, 0
    1478. 

  1478. LR fn, tp: 0, 12
    1479. 

  1479. LR f1 score: 0.828
    1480. 

  1480. LR cohens kappa score: 0.823
    1481. 

  1481. LR average precision score: 0.887
    1482. 

  1482. 

  1483. 

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

  1485. maximum:
    1486. 

  1486. RF tn, fp: 571, 0
    1487. 

  1487. RF fn, tp: 2, 17
    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: 570.8, 0.0
    1494. 

  1494. RF fn, tp: 0.2, 16.0
    1495. 

  1495. RF f1 score: 0.993
    1496. 

  1496. RF cohens kappa score: 0.993
    1497. 

  1497. 

  1498. 

  1499. minimum:
    1500. 

  1500. RF tn, fp: 570, 0
    1501. 

  1501. RF fn, tp: 0, 12
    1502. 

  1502. RF f1 score: 0.938
    1503. 

  1503. RF cohens kappa score: 0.936
    1504. 

  1504. 

  1505. 

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

  1507. maximum:
    1508. 

  1508. GB tn, fp: 571, 2
    1509. 

  1509. GB fn, tp: 0, 17
    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: 570.64, 0.16
    1516. 

  1516. GB fn, tp: 0.0, 16.2
    1517. 

  1517. GB f1 score: 0.995
    1518. 

  1518. GB cohens kappa score: 0.995
    1519. 

  1519. 

  1520. 

  1521. minimum:
    1522. 

  1522. GB tn, fp: 568, 0
    1523. 

  1523. GB fn, tp: 0, 13
    1524. 

  1524. GB f1 score: 0.929
    1525. 

  1525. GB cohens kappa score: 0.927
    1526. 

  1526. 

  1527. 

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

  1529. maximum:
    1530. 

  1530. KNN tn, fp: 571, 9
    1531. 

  1531. KNN fn, tp: 1, 17
    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: 566.96, 3.84
    1538. 

  1538. KNN fn, tp: 0.08, 16.12
    1539. 

  1539. KNN f1 score: 0.895
    1540. 

  1540. KNN cohens kappa score: 0.891
    1541. 

  1541. 

  1542. 

  1543. minimum:
    1544. 

  1544. KNN tn, fp: 562, 0
    1545. 

  1545. KNN fn, tp: 0, 13
    1546. 

  1546. KNN f1 score: 0.788
    1547. 

  1547. KNN cohens kappa score: 0.782
    1548. 

  1548. 

  1549. 

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

  1551. maximum:
    1552. 

  1552. GAN tn, fp: 571, 2
    1553. 

  1553. GAN fn, tp: 0, 17
    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: 570.56, 0.24
    1560. 

  1560. GAN fn, tp: 0.0, 16.2
    1561. 

  1561. GAN f1 score: 0.993
    1562. 

  1562. GAN cohens kappa score: 0.992
    1563. 

  1563. 

  1564. 

  1565. minimum:
    1566. 

  1566. GAN tn, fp: 568, 0
    1567. 

  1567. GAN fn, tp: 0, 13
    1568. 

  1568. GAN f1 score: 0.929
    1569. 

  1569. GAN cohens kappa score: 0.927
    1570. 

  1570.