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folding_kr-vs-k-zero-one_vs_draw.log

folding_kr-vs-k-zero-one_vs_draw.log 249 KB
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
  1. 

  2. 

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

  4. // Running convGAN-proximary-5 on folding_kr-vs-k-zero-one_vs_draw
    5. 

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

  6. 

  7. Load 'data_input/folding_kr-vs-k-zero-one_vs_draw'
    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 2152 synthetic samples
    21. 

  21. -> retrain GAN for predict
    22. 

  22. Epoch 1/10
    23. 

  23. 
  1/224 [..............................] - ETA: 38s - loss: 6.5437e-05
 35/224 [===>..........................] - ETA: 0s - loss: 0.0088     
 73/224 [========>.....................] - ETA: 0s - loss: 0.0090
114/224 [==============>...............] - ETA: 0s - loss: 0.0062
151/224 [===================>..........] - ETA: 0s - loss: 0.0069
190/224 [========================>.....] - ETA: 0s - loss: 0.0062
224/224 [==============================] - 0s 1ms/step - loss: 0.0071
    24. 

  24. Epoch 2/10
    25. 

  25. 
  1/224 [..............................] - ETA: 0s - loss: 0.0028
 42/224 [====>.........................] - ETA: 0s - loss: 0.0061
 82/224 [=========>....................] - ETA: 0s - loss: 0.0080
120/224 [===============>..............] - ETA: 0s - loss: 0.0060
162/224 [====================>.........] - ETA: 0s - loss: 0.0055
202/224 [==========================>...] - ETA: 0s - loss: 0.0053
224/224 [==============================] - 0s 1ms/step - loss: 0.0052
    26. 

  26. Epoch 3/10
    27. 

  27. 
  1/224 [..............................] - ETA: 0s - loss: 4.4190e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0023    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0028
124/224 [===============>..............] - ETA: 0s - loss: 0.0035
164/224 [====================>.........] - ETA: 0s - loss: 0.0037
204/224 [==========================>...] - ETA: 0s - loss: 0.0039
224/224 [==============================] - 0s 1ms/step - loss: 0.0038
    28. 

  28. Epoch 4/10
    29. 

  29. 
  1/224 [..............................] - ETA: 0s - loss: 0.0018
 41/224 [====>.........................] - ETA: 0s - loss: 0.0029
 74/224 [========>.....................] - ETA: 0s - loss: 0.0023
107/224 [=============>................] - ETA: 0s - loss: 0.0026
139/224 [=================>............] - ETA: 0s - loss: 0.0024
177/224 [======================>.......] - ETA: 0s - loss: 0.0031
217/224 [============================>.] - ETA: 0s - loss: 0.0031
224/224 [==============================] - 0s 1ms/step - loss: 0.0031
    30. 

  30. Epoch 5/10
    31. 

  31. 
  1/224 [..............................] - ETA: 0s - loss: 6.0934e-07
 42/224 [====>.........................] - ETA: 0s - loss: 0.0018    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0024
123/224 [===============>..............] - ETA: 0s - loss: 0.0025
164/224 [====================>.........] - ETA: 0s - loss: 0.0023
205/224 [==========================>...] - ETA: 0s - loss: 0.0026
224/224 [==============================] - 0s 1ms/step - loss: 0.0027
    32. 

  32. Epoch 6/10
    33. 

  33. 
  1/224 [..............................] - ETA: 0s - loss: 1.7394e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0024    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0024
119/224 [==============>...............] - ETA: 0s - loss: 0.0023
160/224 [====================>.........] - ETA: 0s - loss: 0.0023
200/224 [=========================>....] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0025
    34. 

  34. Epoch 7/10
    35. 

  35. 
  1/224 [..............................] - ETA: 0s - loss: 0.0019
 42/224 [====>.........................] - ETA: 0s - loss: 0.0030
 84/224 [==========>...................] - ETA: 0s - loss: 0.0020
124/224 [===============>..............] - ETA: 0s - loss: 0.0021
164/224 [====================>.........] - ETA: 0s - loss: 0.0026
205/224 [==========================>...] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0022
    36. 

  36. Epoch 8/10
    37. 

  37. 
  1/224 [..............................] - ETA: 0s - loss: 7.3573e-06
 38/224 [====>.........................] - ETA: 0s - loss: 0.0018    
 73/224 [========>.....................] - ETA: 0s - loss: 0.0015
113/224 [==============>...............] - ETA: 0s - loss: 0.0019
153/224 [===================>..........] - ETA: 0s - loss: 0.0018
192/224 [========================>.....] - ETA: 0s - loss: 0.0019
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
    38. 

  38. Epoch 9/10
    39. 

  39. 
  1/224 [..............................] - ETA: 0s - loss: 2.6226e-06
 42/224 [====>.........................] - ETA: 0s - loss: 0.0022    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0026
123/224 [===============>..............] - ETA: 0s - loss: 0.0021
163/224 [====================>.........] - ETA: 0s - loss: 0.0018
205/224 [==========================>...] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
    40. 

  40. Epoch 10/10
    41. 

  41. 
  1/224 [..............................] - ETA: 0s - loss: 3.5332e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0018    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0017
119/224 [==============>...............] - ETA: 0s - loss: 0.0013
159/224 [====================>.........] - ETA: 0s - loss: 0.0014
200/224 [=========================>....] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0015
    42. 

  42. -> test with GAN.predict
    43. 

  43. GAN tn, fp: 560, 0
    44. 

  44. GAN fn, tp: 3, 18
    45. 

  45. GAN f1 score: 0.923
    46. 

  46. GAN cohens kappa score: 0.920
    47. 

  47. 

  48. -> test with 'LR'
    49. 

  49. LR tn, fp: 549, 11
    50. 

  50. LR fn, tp: 2, 19
    51. 

  51. LR f1 score: 0.745
    52. 

  52. LR cohens kappa score: 0.734
    53. 

  53. LR average precision score: 0.865
    54. 

  54. 

  55. -> test with 'RF'
    56. 

  56. RF tn, fp: 558, 2
    57. 

  57. RF fn, tp: 2, 19
    58. 

  58. RF f1 score: 0.905
    59. 

  59. RF cohens kappa score: 0.901
    60. 

  60. 

  61. -> test with 'GB'
    62. 

  62. GB tn, fp: 560, 0
    63. 

  63. GB fn, tp: 2, 19
    64. 

  64. GB f1 score: 0.950
    65. 

  65. GB cohens kappa score: 0.948
    66. 

  66. 

  67. -> test with 'KNN'
    68. 

  68. KNN tn, fp: 552, 8
    69. 

  69. KNN fn, tp: 0, 21
    70. 

  70. KNN f1 score: 0.840
    71. 

  71. KNN cohens kappa score: 0.833
    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 2152 synthetic samples
    78. 

  78. -> retrain GAN for predict
    79. 

  79. Epoch 1/10
    80. 

  80. 
  1/224 [..............................] - ETA: 36s - loss: 0.0015
 32/224 [===>..........................] - ETA: 0s - loss: 0.0012 
 67/224 [=======>......................] - ETA: 0s - loss: 0.0016
103/224 [============>.................] - ETA: 0s - loss: 0.0023
137/224 [=================>............] - ETA: 0s - loss: 0.0018
173/224 [======================>.......] - ETA: 0s - loss: 0.0022
208/224 [==========================>...] - ETA: 0s - loss: 0.0024
224/224 [==============================] - 0s 1ms/step - loss: 0.0023
    81. 

  81. Epoch 2/10
    82. 

  82. 
  1/224 [..............................] - ETA: 0s - loss: 5.1810e-05
 37/224 [===>..........................] - ETA: 0s - loss: 0.0011    
 73/224 [========>.....................] - ETA: 0s - loss: 9.4336e-04
109/224 [=============>................] - ETA: 0s - loss: 7.5385e-04
144/224 [==================>...........] - ETA: 0s - loss: 0.0013    
181/224 [=======================>......] - ETA: 0s - loss: 0.0014
213/224 [===========================>..] - ETA: 0s - loss: 0.0016
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
    83. 

  83. Epoch 3/10
    84. 

  84. 
  1/224 [..............................] - ETA: 0s - loss: 5.5383e-04
 34/224 [===>..........................] - ETA: 0s - loss: 0.0029    
 66/224 [=======>......................] - ETA: 0s - loss: 0.0020
100/224 [============>.................] - ETA: 0s - loss: 0.0016
134/224 [================>.............] - ETA: 0s - loss: 0.0016
173/224 [======================>.......] - ETA: 0s - loss: 0.0015
209/224 [==========================>...] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    85. 

  85. Epoch 4/10
    86. 

  86. 
  1/224 [..............................] - ETA: 0s - loss: 5.2420e-04
 35/224 [===>..........................] - ETA: 0s - loss: 0.0016    
 71/224 [========>.....................] - ETA: 0s - loss: 0.0014
108/224 [=============>................] - ETA: 0s - loss: 0.0014
146/224 [==================>...........] - ETA: 0s - loss: 0.0012
181/224 [=======================>......] - ETA: 0s - loss: 0.0014
216/224 [===========================>..] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    87. 

  87. Epoch 5/10
    88. 

  88. 
  1/224 [..............................] - ETA: 0s - loss: 1.7045e-05
 35/224 [===>..........................] - ETA: 0s - loss: 0.0026    
 69/224 [========>.....................] - ETA: 0s - loss: 0.0019
103/224 [============>.................] - ETA: 0s - loss: 0.0014
140/224 [=================>............] - ETA: 0s - loss: 0.0013
176/224 [======================>.......] - ETA: 0s - loss: 0.0013
211/224 [===========================>..] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    89. 

  89. Epoch 6/10
    90. 

  90. 
  1/224 [..............................] - ETA: 0s - loss: 6.6247e-05
 34/224 [===>..........................] - ETA: 0s - loss: 0.0027    
 68/224 [========>.....................] - ETA: 0s - loss: 0.0015
 99/224 [============>.................] - ETA: 0s - loss: 0.0013
132/224 [================>.............] - ETA: 0s - loss: 0.0013
165/224 [=====================>........] - ETA: 0s - loss: 0.0012
202/224 [==========================>...] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 9.6069e-04
    91. 

  91. Epoch 7/10
    92. 

  92. 
  1/224 [..............................] - ETA: 0s - loss: 1.4620e-04
 36/224 [===>..........................] - ETA: 0s - loss: 4.2124e-04
 72/224 [========>.....................] - ETA: 0s - loss: 5.1451e-04
108/224 [=============>................] - ETA: 0s - loss: 5.4063e-04
142/224 [==================>...........] - ETA: 0s - loss: 5.2061e-04
175/224 [======================>.......] - ETA: 0s - loss: 5.1156e-04
209/224 [==========================>...] - ETA: 0s - loss: 7.3372e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.4088e-04
    93. 

  93. Epoch 8/10
    94. 

  94. 
  1/224 [..............................] - ETA: 0s - loss: 7.6199e-05
 36/224 [===>..........................] - ETA: 0s - loss: 4.3227e-04
 71/224 [========>.....................] - ETA: 0s - loss: 7.1709e-04
106/224 [=============>................] - ETA: 0s - loss: 8.6812e-04
139/224 [=================>............] - ETA: 0s - loss: 7.7975e-04
173/224 [======================>.......] - ETA: 0s - loss: 8.0439e-04
208/224 [==========================>...] - ETA: 0s - loss: 7.5942e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.2357e-04
    95. 

  95. Epoch 9/10
    96. 

  96. 
  1/224 [..............................] - ETA: 0s - loss: 2.0197e-05
 36/224 [===>..........................] - ETA: 0s - loss: 2.2171e-04
 71/224 [========>.....................] - ETA: 0s - loss: 5.1002e-04
107/224 [=============>................] - ETA: 0s - loss: 4.7974e-04
143/224 [==================>...........] - ETA: 0s - loss: 6.6843e-04
173/224 [======================>.......] - ETA: 0s - loss: 7.4457e-04
206/224 [==========================>...] - ETA: 0s - loss: 6.9284e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.0271e-04
    97. 

  97. Epoch 10/10
    98. 

  98. 
  1/224 [..............................] - ETA: 0s - loss: 8.2350e-10
 32/224 [===>..........................] - ETA: 0s - loss: 9.0300e-04
 66/224 [=======>......................] - ETA: 0s - loss: 7.0497e-04
101/224 [============>.................] - ETA: 0s - loss: 7.5463e-04
136/224 [=================>............] - ETA: 0s - loss: 7.7408e-04
173/224 [======================>.......] - ETA: 0s - loss: 7.2848e-04
206/224 [==========================>...] - ETA: 0s - loss: 6.7408e-04
224/224 [==============================] - 0s 2ms/step - loss: 6.3011e-04
    99. 

  99. -> test with GAN.predict
    100. 

  100. GAN tn, fp: 560, 0
    101. 

  101. GAN fn, tp: 0, 21
    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: 548, 12
    107. 

  107. LR fn, tp: 0, 21
    108. 

  108. LR f1 score: 0.778
    109. 

  109. LR cohens kappa score: 0.768
    110. 

  110. LR average precision score: 0.927
    111. 

  111. 

  112. -> test with 'RF'
    113. 

  113. RF tn, fp: 560, 0
    114. 

  114. RF fn, tp: 1, 20
    115. 

  115. RF f1 score: 0.976
    116. 

  116. RF cohens kappa score: 0.975
    117. 

  117. 

  118. -> test with 'GB'
    119. 

  119. GB tn, fp: 560, 0
    120. 

  120. GB fn, tp: 3, 18
    121. 

  121. GB f1 score: 0.923
    122. 

  122. GB cohens kappa score: 0.920
    123. 

  123. 

  124. -> test with 'KNN'
    125. 

  125. KNN tn, fp: 558, 2
    126. 

  126. KNN fn, tp: 0, 21
    127. 

  127. KNN f1 score: 0.955
    128. 

  128. KNN cohens kappa score: 0.953
    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 2152 synthetic samples
    135. 

  135. -> retrain GAN for predict
    136. 

  136. Epoch 1/10
    137. 

  137. 
  1/224 [..............................] - ETA: 37s - loss: 2.5032e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0029     
 82/224 [=========>....................] - ETA: 0s - loss: 0.0022
124/224 [===============>..............] - ETA: 0s - loss: 0.0032
164/224 [====================>.........] - ETA: 0s - loss: 0.0037
200/224 [=========================>....] - ETA: 0s - loss: 0.0040
224/224 [==============================] - 0s 1ms/step - loss: 0.0047
    138. 

  138. Epoch 2/10
    139. 

  139. 
  1/224 [..............................] - ETA: 0s - loss: 0.0058
 34/224 [===>..........................] - ETA: 0s - loss: 0.0021
 70/224 [========>.....................] - ETA: 0s - loss: 0.0031
107/224 [=============>................] - ETA: 0s - loss: 0.0027
145/224 [==================>...........] - ETA: 0s - loss: 0.0040
184/224 [=======================>......] - ETA: 0s - loss: 0.0033
221/224 [============================>.] - ETA: 0s - loss: 0.0039
224/224 [==============================] - 0s 1ms/step - loss: 0.0039
    140. 

  140. Epoch 3/10
    141. 

  141. 
  1/224 [..............................] - ETA: 0s - loss: 5.3931e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0041    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0032
118/224 [==============>...............] - ETA: 0s - loss: 0.0025
156/224 [===================>..........] - ETA: 0s - loss: 0.0024
195/224 [=========================>....] - ETA: 0s - loss: 0.0029
224/224 [==============================] - 0s 1ms/step - loss: 0.0028
    142. 

  142. Epoch 4/10
    143. 

  143. 
  1/224 [..............................] - ETA: 0s - loss: 9.9281e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0025    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0026
116/224 [==============>...............] - ETA: 0s - loss: 0.0020
155/224 [===================>..........] - ETA: 0s - loss: 0.0016
195/224 [=========================>....] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 1ms/step - loss: 0.0023
    144. 

  144. Epoch 5/10
    145. 

  145. 
  1/224 [..............................] - ETA: 0s - loss: 1.5703e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0013    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0013
122/224 [===============>..............] - ETA: 0s - loss: 0.0018
163/224 [====================>.........] - ETA: 0s - loss: 0.0016
204/224 [==========================>...] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
    146. 

  146. Epoch 6/10
    147. 

  147. 
  1/224 [..............................] - ETA: 0s - loss: 5.1926e-04
 37/224 [===>..........................] - ETA: 0s - loss: 0.0017    
 72/224 [========>.....................] - ETA: 0s - loss: 0.0018
107/224 [=============>................] - ETA: 0s - loss: 0.0015
146/224 [==================>...........] - ETA: 0s - loss: 0.0016
186/224 [=======================>......] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    148. 

  148. Epoch 7/10
    149. 

  149. 
  1/224 [..............................] - ETA: 0s - loss: 3.6371e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0019    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0014
123/224 [===============>..............] - ETA: 0s - loss: 0.0014
163/224 [====================>.........] - ETA: 0s - loss: 0.0012
204/224 [==========================>...] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    150. 

  150. Epoch 8/10
    151. 

  151. 
  1/224 [..............................] - ETA: 0s - loss: 7.3205e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0017    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0014
115/224 [==============>...............] - ETA: 0s - loss: 0.0011
156/224 [===================>..........] - ETA: 0s - loss: 0.0011
194/224 [========================>.....] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    152. 

  152. Epoch 9/10
    153. 

  153. 
  1/224 [..............................] - ETA: 0s - loss: 8.3398e-05
 42/224 [====>.........................] - ETA: 0s - loss: 5.4044e-04
 77/224 [=========>....................] - ETA: 0s - loss: 0.0011    
111/224 [=============>................] - ETA: 0s - loss: 0.0011
147/224 [==================>...........] - ETA: 0s - loss: 0.0010
187/224 [========================>.....] - ETA: 0s - loss: 9.7148e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.3181e-04
    154. 

  154. Epoch 10/10
    155. 

  155. 
  1/224 [..............................] - ETA: 0s - loss: 1.0252e-06
 42/224 [====>.........................] - ETA: 0s - loss: 0.0026    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0016
125/224 [===============>..............] - ETA: 0s - loss: 0.0013
165/224 [=====================>........] - ETA: 0s - loss: 0.0012
202/224 [==========================>...] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 9.8900e-04
    156. 

  156. -> test with GAN.predict
    157. 

  157. GAN tn, fp: 559, 1
    158. 

  158. GAN fn, tp: 0, 21
    159. 

  159. GAN f1 score: 0.977
    160. 

  160. GAN cohens kappa score: 0.976
    161. 

  161. 

  162. -> test with 'LR'
    163. 

  163. LR tn, fp: 537, 23
    164. 

  164. LR fn, tp: 1, 20
    165. 

  165. LR f1 score: 0.625
    166. 

  166. LR cohens kappa score: 0.606
    167. 

  167. LR average precision score: 0.832
    168. 

  168. 

  169. -> test with 'RF'
    170. 

  170. RF tn, fp: 560, 0
    171. 

  171. RF fn, tp: 3, 18
    172. 

  172. RF f1 score: 0.923
    173. 

  173. RF cohens kappa score: 0.920
    174. 

  174. 

  175. -> test with 'GB'
    176. 

  176. GB tn, fp: 560, 0
    177. 

  177. GB fn, tp: 1, 20
    178. 

  178. GB f1 score: 0.976
    179. 

  179. GB cohens kappa score: 0.975
    180. 

  180. 

  181. -> test with 'KNN'
    182. 

  182. KNN tn, fp: 551, 9
    183. 

  183. KNN fn, tp: 0, 21
    184. 

  184. KNN f1 score: 0.824
    185. 

  185. KNN cohens kappa score: 0.816
    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 2152 synthetic samples
    192. 

  192. -> retrain GAN for predict
    193. 

  193. Epoch 1/10
    194. 

  194. 
  1/224 [..............................] - ETA: 1:18 - loss: 1.5758e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0017      
 83/224 [==========>...................] - ETA: 0s - loss: 0.0012
123/224 [===============>..............] - ETA: 0s - loss: 0.0018
163/224 [====================>.........] - ETA: 0s - loss: 0.0017
204/224 [==========================>...] - ETA: 0s - loss: 0.0016
224/224 [==============================] - 1s 1ms/step - loss: 0.0015
    195. 

  195. Epoch 2/10
    196. 

  196. 
  1/224 [..............................] - ETA: 0s - loss: 0.0159
 41/224 [====>.........................] - ETA: 0s - loss: 0.0017
 77/224 [=========>....................] - ETA: 0s - loss: 0.0012
117/224 [==============>...............] - ETA: 0s - loss: 0.0011
159/224 [====================>.........] - ETA: 0s - loss: 0.0012
199/224 [=========================>....] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    197. 

  197. Epoch 3/10
    198. 

  198. 
  1/224 [..............................] - ETA: 0s - loss: 0.0011
 40/224 [====>.........................] - ETA: 0s - loss: 8.4746e-04
 79/224 [=========>....................] - ETA: 0s - loss: 0.0010    
119/224 [==============>...............] - ETA: 0s - loss: 9.4243e-04
158/224 [====================>.........] - ETA: 0s - loss: 8.8787e-04
193/224 [========================>.....] - ETA: 0s - loss: 8.8077e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.7818e-04
    199. 

  199. Epoch 4/10
    200. 

  200. 
  1/224 [..............................] - ETA: 0s - loss: 2.3939e-05
 42/224 [====>.........................] - ETA: 0s - loss: 4.1335e-04
 82/224 [=========>....................] - ETA: 0s - loss: 3.6490e-04
123/224 [===============>..............] - ETA: 0s - loss: 5.2810e-04
162/224 [====================>.........] - ETA: 0s - loss: 6.7551e-04
202/224 [==========================>...] - ETA: 0s - loss: 6.9662e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.6321e-04
    201. 

  201. Epoch 5/10
    202. 

  202. 
  1/224 [..............................] - ETA: 0s - loss: 4.0893e-06
 41/224 [====>.........................] - ETA: 0s - loss: 6.2767e-04
 81/224 [=========>....................] - ETA: 0s - loss: 5.9857e-04
122/224 [===============>..............] - ETA: 0s - loss: 5.4987e-04
161/224 [====================>.........] - ETA: 0s - loss: 5.1409e-04
201/224 [=========================>....] - ETA: 0s - loss: 6.2344e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.0525e-04
    203. 

  203. Epoch 6/10
    204. 

  204. 
  1/224 [..............................] - ETA: 0s - loss: 2.8861e-09
 42/224 [====>.........................] - ETA: 0s - loss: 8.6644e-04
 78/224 [=========>....................] - ETA: 0s - loss: 7.2316e-04
111/224 [=============>................] - ETA: 0s - loss: 6.0638e-04
147/224 [==================>...........] - ETA: 0s - loss: 5.3168e-04
182/224 [=======================>......] - ETA: 0s - loss: 4.6496e-04
219/224 [============================>.] - ETA: 0s - loss: 5.0719e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.0165e-04
    205. 

  205. Epoch 7/10
    206. 

  206. 
  1/224 [..............................] - ETA: 0s - loss: 1.6427e-04
 35/224 [===>..........................] - ETA: 0s - loss: 3.9540e-04
 72/224 [========>.....................] - ETA: 0s - loss: 2.9336e-04
108/224 [=============>................] - ETA: 0s - loss: 4.6371e-04
149/224 [==================>...........] - ETA: 0s - loss: 5.1943e-04
190/224 [========================>.....] - ETA: 0s - loss: 4.8648e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.7765e-04
    207. 

  207. Epoch 8/10
    208. 

  208. 
  1/224 [..............................] - ETA: 0s - loss: 5.9155e-06
 43/224 [====>.........................] - ETA: 0s - loss: 5.5112e-04
 82/224 [=========>....................] - ETA: 0s - loss: 3.7248e-04
121/224 [===============>..............] - ETA: 0s - loss: 4.0087e-04
163/224 [====================>.........] - ETA: 0s - loss: 4.7108e-04
204/224 [==========================>...] - ETA: 0s - loss: 4.4687e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.3163e-04
    209. 

  209. Epoch 9/10
    210. 

  210. 
  1/224 [..............................] - ETA: 0s - loss: 0.0010
 40/224 [====>.........................] - ETA: 0s - loss: 3.4828e-04
 81/224 [=========>....................] - ETA: 0s - loss: 2.5545e-04
122/224 [===============>..............] - ETA: 0s - loss: 2.1974e-04
163/224 [====================>.........] - ETA: 0s - loss: 4.6278e-04
204/224 [==========================>...] - ETA: 0s - loss: 4.1617e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.1013e-04
    211. 

  211. Epoch 10/10
    212. 

  212. 
  1/224 [..............................] - ETA: 0s - loss: 1.1772e-05
 43/224 [====>.........................] - ETA: 0s - loss: 2.1571e-04
 84/224 [==========>...................] - ETA: 0s - loss: 2.4134e-04
125/224 [===============>..............] - ETA: 0s - loss: 2.5070e-04
164/224 [====================>.........] - ETA: 0s - loss: 3.1872e-04
205/224 [==========================>...] - ETA: 0s - loss: 3.2919e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.4229e-04
    213. 

  213. -> test with GAN.predict
    214. 

  214. GAN tn, fp: 559, 1
    215. 

  215. GAN fn, tp: 0, 21
    216. 

  216. GAN f1 score: 0.977
    217. 

  217. GAN cohens kappa score: 0.976
    218. 

  218. 

  219. -> test with 'LR'
    220. 

  220. LR tn, fp: 540, 20
    221. 

  221. LR fn, tp: 1, 20
    222. 

  222. LR f1 score: 0.656
    223. 

  223. LR cohens kappa score: 0.639
    224. 

  224. LR average precision score: 0.864
    225. 

  225. 

  226. -> test with 'RF'
    227. 

  227. RF tn, fp: 555, 5
    228. 

  228. RF fn, tp: 1, 20
    229. 

  229. RF f1 score: 0.870
    230. 

  230. RF cohens kappa score: 0.864
    231. 

  231. 

  232. -> test with 'GB'
    233. 

  233. GB tn, fp: 555, 5
    234. 

  234. GB fn, tp: 1, 20
    235. 

  235. GB f1 score: 0.870
    236. 

  236. GB cohens kappa score: 0.864
    237. 

  237. 

  238. -> test with 'KNN'
    239. 

  239. KNN tn, fp: 552, 8
    240. 

  240. KNN fn, tp: 0, 21
    241. 

  241. KNN f1 score: 0.840
    242. 

  242. KNN cohens kappa score: 0.833
    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 2156 synthetic samples
    249. 

  249. -> retrain GAN for predict
    250. 

  250. Epoch 1/10
    251. 

  251. 
  1/224 [..............................] - ETA: 29s - loss: 9.2250e-04
 35/224 [===>..........................] - ETA: 0s - loss: 0.0087     
 75/224 [=========>....................] - ETA: 0s - loss: 0.0061
119/224 [==============>...............] - ETA: 0s - loss: 0.0049
164/224 [====================>.........] - ETA: 0s - loss: 0.0039
207/224 [==========================>...] - ETA: 0s - loss: 0.0045
224/224 [==============================] - 0s 1ms/step - loss: 0.0045
    252. 

  252. Epoch 2/10
    253. 

  253. 
  1/224 [..............................] - ETA: 0s - loss: 3.7762e-05
 44/224 [====>.........................] - ETA: 0s - loss: 0.0031    
 88/224 [==========>...................] - ETA: 0s - loss: 0.0028
127/224 [================>.............] - ETA: 0s - loss: 0.0032
170/224 [=====================>........] - ETA: 0s - loss: 0.0028
215/224 [===========================>..] - ETA: 0s - loss: 0.0032
224/224 [==============================] - 0s 1ms/step - loss: 0.0031
    254. 

  254. Epoch 3/10
    255. 

  255. 
  1/224 [..............................] - ETA: 0s - loss: 1.0529e-05
 44/224 [====>.........................] - ETA: 0s - loss: 0.0042    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0033
118/224 [==============>...............] - ETA: 0s - loss: 0.0025
156/224 [===================>..........] - ETA: 0s - loss: 0.0026
197/224 [=========================>....] - ETA: 0s - loss: 0.0026
224/224 [==============================] - 0s 1ms/step - loss: 0.0024
    256. 

  256. Epoch 4/10
    257. 

  257. 
  1/224 [..............................] - ETA: 0s - loss: 9.7322e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0017    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0027
124/224 [===============>..............] - ETA: 0s - loss: 0.0023
160/224 [====================>.........] - ETA: 0s - loss: 0.0020
196/224 [=========================>....] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0020
    258. 

  258. Epoch 5/10
    259. 

  259. 
  1/224 [..............................] - ETA: 0s - loss: 2.0617e-04
 45/224 [=====>........................] - ETA: 0s - loss: 8.8306e-04
 89/224 [==========>...................] - ETA: 0s - loss: 9.3695e-04
132/224 [================>.............] - ETA: 0s - loss: 0.0011    
176/224 [======================>.......] - ETA: 0s - loss: 0.0016
220/224 [============================>.] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
    260. 

  260. Epoch 6/10
    261. 

  261. 
  1/224 [..............................] - ETA: 0s - loss: 0.0048
 43/224 [====>.........................] - ETA: 0s - loss: 0.0020
 86/224 [==========>...................] - ETA: 0s - loss: 0.0019
129/224 [================>.............] - ETA: 0s - loss: 0.0015
173/224 [======================>.......] - ETA: 0s - loss: 0.0016
216/224 [===========================>..] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    262. 

  262. Epoch 7/10
    263. 

  263. 
  1/224 [..............................] - ETA: 0s - loss: 4.4998e-06
 45/224 [=====>........................] - ETA: 0s - loss: 0.0017    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0014
130/224 [================>.............] - ETA: 0s - loss: 0.0011
173/224 [======================>.......] - ETA: 0s - loss: 0.0011
216/224 [===========================>..] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    264. 

  264. Epoch 8/10
    265. 

  265. 
  1/224 [..............................] - ETA: 0s - loss: 0.0014
 43/224 [====>.........................] - ETA: 0s - loss: 7.2312e-04
 83/224 [==========>...................] - ETA: 0s - loss: 8.0132e-04
126/224 [===============>..............] - ETA: 0s - loss: 0.0011    
170/224 [=====================>........] - ETA: 0s - loss: 0.0010
213/224 [===========================>..] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    266. 

  266. Epoch 9/10
    267. 

  267. 
  1/224 [..............................] - ETA: 0s - loss: 3.9058e-08
 42/224 [====>.........................] - ETA: 0s - loss: 5.7286e-04
 86/224 [==========>...................] - ETA: 0s - loss: 5.8443e-04
130/224 [================>.............] - ETA: 0s - loss: 9.0487e-04
172/224 [======================>.......] - ETA: 0s - loss: 9.5570e-04
214/224 [===========================>..] - ETA: 0s - loss: 0.0010    
224/224 [==============================] - 0s 1ms/step - loss: 0.0010
    268. 

  268. Epoch 10/10
    269. 

  269. 
  1/224 [..............................] - ETA: 0s - loss: 4.0722e-04
 39/224 [====>.........................] - ETA: 0s - loss: 0.0010    
 79/224 [=========>....................] - ETA: 0s - loss: 6.9307e-04
120/224 [===============>..............] - ETA: 0s - loss: 7.9153e-04
163/224 [====================>.........] - ETA: 0s - loss: 6.9713e-04
202/224 [==========================>...] - ETA: 0s - loss: 6.3269e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.8930e-04
    270. 

  270. -> test with GAN.predict
    271. 

  271. GAN tn, fp: 556, 0
    272. 

  272. GAN fn, tp: 0, 21
    273. 

  273. GAN f1 score: 1.000
    274. 

  274. GAN cohens kappa score: 1.000
    275. 

  275. 

  276. -> test with 'LR'
    277. 

  277. LR tn, fp: 538, 18
    278. 

  278. LR fn, tp: 0, 21
    279. 

  279. LR f1 score: 0.700
    280. 

  280. LR cohens kappa score: 0.685
    281. 

  281. LR average precision score: 0.981
    282. 

  282. 

  283. -> test with 'RF'
    284. 

  284. RF tn, fp: 556, 0
    285. 

  285. RF fn, tp: 1, 20
    286. 

  286. RF f1 score: 0.976
    287. 

  287. RF cohens kappa score: 0.975
    288. 

  288. 

  289. -> test with 'GB'
    290. 

  290. GB tn, fp: 556, 0
    291. 

  291. GB fn, tp: 1, 20
    292. 

  292. GB f1 score: 0.976
    293. 

  293. GB cohens kappa score: 0.975
    294. 

  294. 

  295. -> test with 'KNN'
    296. 

  296. KNN tn, fp: 551, 5
    297. 

  297. KNN fn, tp: 0, 21
    298. 

  298. KNN f1 score: 0.894
    299. 

  299. KNN cohens kappa score: 0.889
    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 2152 synthetic samples
    310. 

  310. -> retrain GAN for predict
    311. 

  311. Epoch 1/10
    312. 

  312. 
  1/224 [..............................] - ETA: 36s - loss: 2.2804e-05
 43/224 [====>.........................] - ETA: 0s - loss: 0.0048     
 83/224 [==========>...................] - ETA: 0s - loss: 0.0031
124/224 [===============>..............] - ETA: 0s - loss: 0.0027
165/224 [=====================>........] - ETA: 0s - loss: 0.0030
205/224 [==========================>...] - ETA: 0s - loss: 0.0035
224/224 [==============================] - 0s 1ms/step - loss: 0.0033
    313. 

  313. Epoch 2/10
    314. 

  314. 
  1/224 [..............................] - ETA: 0s - loss: 0.0407
 37/224 [===>..........................] - ETA: 0s - loss: 0.0037
 75/224 [=========>....................] - ETA: 0s - loss: 0.0026
112/224 [==============>...............] - ETA: 0s - loss: 0.0022
153/224 [===================>..........] - ETA: 0s - loss: 0.0028
194/224 [========================>.....] - ETA: 0s - loss: 0.0025
224/224 [==============================] - 0s 1ms/step - loss: 0.0024
    315. 

  315. Epoch 3/10
    316. 

  316. 
  1/224 [..............................] - ETA: 0s - loss: 2.0779e-06
 40/224 [====>.........................] - ETA: 0s - loss: 8.3603e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0021    
121/224 [===============>..............] - ETA: 0s - loss: 0.0024
158/224 [====================>.........] - ETA: 0s - loss: 0.0023
198/224 [=========================>....] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
    317. 

  317. Epoch 4/10
    318. 

  318. 
  1/224 [..............................] - ETA: 0s - loss: 1.3922e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0017    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0018
112/224 [==============>...............] - ETA: 0s - loss: 0.0015
145/224 [==================>...........] - ETA: 0s - loss: 0.0019
182/224 [=======================>......] - ETA: 0s - loss: 0.0018
222/224 [============================>.] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0017
    319. 

  319. Epoch 5/10
    320. 

  320. 
  1/224 [..............................] - ETA: 0s - loss: 1.4109e-04
 43/224 [====>.........................] - ETA: 0s - loss: 8.6598e-04
 84/224 [==========>...................] - ETA: 0s - loss: 0.0012    
125/224 [===============>..............] - ETA: 0s - loss: 0.0013
166/224 [=====================>........] - ETA: 0s - loss: 0.0015
203/224 [==========================>...] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0015
    321. 

  321. Epoch 6/10
    322. 

  322. 
  1/224 [..............................] - ETA: 0s - loss: 3.5668e-06
 43/224 [====>.........................] - ETA: 0s - loss: 7.0936e-04
 84/224 [==========>...................] - ETA: 0s - loss: 0.0010    
119/224 [==============>...............] - ETA: 0s - loss: 0.0011
159/224 [====================>.........] - ETA: 0s - loss: 0.0014
198/224 [=========================>....] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    323. 

  323. Epoch 7/10
    324. 

  324. 
  1/224 [..............................] - ETA: 0s - loss: 1.3807e-05
 40/224 [====>.........................] - ETA: 0s - loss: 8.3159e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0013    
121/224 [===============>..............] - ETA: 0s - loss: 9.5232e-04
162/224 [====================>.........] - ETA: 0s - loss: 0.0013    
203/224 [==========================>...] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    325. 

  325. Epoch 8/10
    326. 

  326. 
  1/224 [..............................] - ETA: 0s - loss: 0.0061
 42/224 [====>.........................] - ETA: 0s - loss: 0.0015
 81/224 [=========>....................] - ETA: 0s - loss: 0.0013
122/224 [===============>..............] - ETA: 0s - loss: 9.3450e-04
163/224 [====================>.........] - ETA: 0s - loss: 0.0010    
201/224 [=========================>....] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    327. 

  327. Epoch 9/10
    328. 

  328. 
  1/224 [..............................] - ETA: 0s - loss: 8.1012e-04
 42/224 [====>.........................] - ETA: 0s - loss: 7.8649e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0010    
123/224 [===============>..............] - ETA: 0s - loss: 8.4586e-04
164/224 [====================>.........] - ETA: 0s - loss: 0.0010    
205/224 [==========================>...] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    329. 

  329. Epoch 10/10
    330. 

  330. 
  1/224 [..............................] - ETA: 0s - loss: 8.7864e-05
 42/224 [====>.........................] - ETA: 0s - loss: 7.6803e-04
 84/224 [==========>...................] - ETA: 0s - loss: 5.9260e-04
125/224 [===============>..............] - ETA: 0s - loss: 0.0011    
166/224 [=====================>........] - ETA: 0s - loss: 0.0011
207/224 [==========================>...] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 9.9365e-04
    331. 

  331. -> test with GAN.predict
    332. 

  332. GAN tn, fp: 560, 0
    333. 

  333. GAN fn, tp: 1, 20
    334. 

  334. GAN f1 score: 0.976
    335. 

  335. GAN cohens kappa score: 0.975
    336. 

  336. 

  337. -> test with 'LR'
    338. 

  338. LR tn, fp: 549, 11
    339. 

  339. LR fn, tp: 1, 20
    340. 

  340. LR f1 score: 0.769
    341. 

  341. LR cohens kappa score: 0.759
    342. 

  342. LR average precision score: 0.933
    343. 

  343. 

  344. -> test with 'RF'
    345. 

  345. RF tn, fp: 558, 2
    346. 

  346. RF fn, tp: 0, 21
    347. 

  347. RF f1 score: 0.955
    348. 

  348. RF cohens kappa score: 0.953
    349. 

  349. 

  350. -> test with 'GB'
    351. 

  351. GB tn, fp: 560, 0
    352. 

  352. GB fn, tp: 1, 20
    353. 

  353. GB f1 score: 0.976
    354. 

  354. GB cohens kappa score: 0.975
    355. 

  355. 

  356. -> test with 'KNN'
    357. 

  357. KNN tn, fp: 549, 11
    358. 

  358. KNN fn, tp: 0, 21
    359. 

  359. KNN f1 score: 0.792
    360. 

  360. KNN cohens kappa score: 0.783
    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 2152 synthetic samples
    367. 

  367. -> retrain GAN for predict
    368. 

  368. Epoch 1/10
    369. 

  369. 
  1/224 [..............................] - ETA: 40s - loss: 0.0106
 42/224 [====>.........................] - ETA: 0s - loss: 0.0024 
 83/224 [==========>...................] - ETA: 0s - loss: 0.0054
120/224 [===============>..............] - ETA: 0s - loss: 0.0056
155/224 [===================>..........] - ETA: 0s - loss: 0.0046
190/224 [========================>.....] - ETA: 0s - loss: 0.0038
224/224 [==============================] - 0s 1ms/step - loss: 0.0039
    370. 

  370. Epoch 2/10
    371. 

  371. 
  1/224 [..............................] - ETA: 0s - loss: 1.1505e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0041    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0027
119/224 [==============>...............] - ETA: 0s - loss: 0.0022
158/224 [====================>.........] - ETA: 0s - loss: 0.0025
198/224 [=========================>....] - ETA: 0s - loss: 0.0026
224/224 [==============================] - 0s 1ms/step - loss: 0.0024
    372. 

  372. Epoch 3/10
    373. 

  373. 
  1/224 [..............................] - ETA: 0s - loss: 9.2399e-05
 39/224 [====>.........................] - ETA: 0s - loss: 0.0012    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0018
118/224 [==============>...............] - ETA: 0s - loss: 0.0016
157/224 [====================>.........] - ETA: 0s - loss: 0.0017
197/224 [=========================>....] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0017
    374. 

  374. Epoch 4/10
    375. 

  375. 
  1/224 [..............................] - ETA: 0s - loss: 5.8068e-05
 42/224 [====>.........................] - ETA: 0s - loss: 9.9679e-04
 80/224 [=========>....................] - ETA: 0s - loss: 0.0012    
117/224 [==============>...............] - ETA: 0s - loss: 9.6464e-04
151/224 [===================>..........] - ETA: 0s - loss: 9.3866e-04
188/224 [========================>.....] - ETA: 0s - loss: 0.0010    
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
    376. 

  376. Epoch 5/10
    377. 

  377. 
  1/224 [..............................] - ETA: 0s - loss: 2.9235e-05
 39/224 [====>.........................] - ETA: 0s - loss: 8.3932e-04
 76/224 [=========>....................] - ETA: 0s - loss: 8.4329e-04
114/224 [==============>...............] - ETA: 0s - loss: 9.5445e-04
153/224 [===================>..........] - ETA: 0s - loss: 0.0012    
191/224 [========================>.....] - ETA: 0s - loss: 9.7887e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.7314e-04
    378. 

  378. Epoch 6/10
    379. 

  379. 
  1/224 [..............................] - ETA: 0s - loss: 6.6464e-04
 41/224 [====>.........................] - ETA: 0s - loss: 2.5958e-04
 79/224 [=========>....................] - ETA: 0s - loss: 4.1014e-04
119/224 [==============>...............] - ETA: 0s - loss: 4.3892e-04
157/224 [====================>.........] - ETA: 0s - loss: 5.2450e-04
195/224 [=========================>....] - ETA: 0s - loss: 6.0100e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.6105e-04
    380. 

  380. Epoch 7/10
    381. 

  381. 
  1/224 [..............................] - ETA: 0s - loss: 6.8217e-04
 40/224 [====>.........................] - ETA: 0s - loss: 2.2983e-04
 75/224 [=========>....................] - ETA: 0s - loss: 3.9977e-04
115/224 [==============>...............] - ETA: 0s - loss: 3.2598e-04
155/224 [===================>..........] - ETA: 0s - loss: 4.0160e-04
194/224 [========================>.....] - ETA: 0s - loss: 5.3792e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.9748e-04
    382. 

  382. Epoch 8/10
    383. 

  383. 
  1/224 [..............................] - ETA: 0s - loss: 1.3825e-04
 41/224 [====>.........................] - ETA: 0s - loss: 2.2965e-04
 81/224 [=========>....................] - ETA: 0s - loss: 4.7069e-04
121/224 [===============>..............] - ETA: 0s - loss: 3.8599e-04
158/224 [====================>.........] - ETA: 0s - loss: 5.6483e-04
190/224 [========================>.....] - ETA: 0s - loss: 5.1004e-04
220/224 [============================>.] - ETA: 0s - loss: 5.0092e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.9468e-04
    384. 

  384. Epoch 9/10
    385. 

  385. 
  1/224 [..............................] - ETA: 0s - loss: 3.7237e-04
 36/224 [===>..........................] - ETA: 0s - loss: 5.7418e-04
 74/224 [========>.....................] - ETA: 0s - loss: 5.5503e-04
113/224 [==============>...............] - ETA: 0s - loss: 4.4870e-04
153/224 [===================>..........] - ETA: 0s - loss: 3.8211e-04
192/224 [========================>.....] - ETA: 0s - loss: 3.8332e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.1520e-04
    386. 

  386. Epoch 10/10
    387. 

  387. 
  1/224 [..............................] - ETA: 0s - loss: 2.5377e-05
 40/224 [====>.........................] - ETA: 0s - loss: 7.0038e-04
 78/224 [=========>....................] - ETA: 0s - loss: 6.0073e-04
117/224 [==============>...............] - ETA: 0s - loss: 5.4022e-04
158/224 [====================>.........] - ETA: 0s - loss: 5.0561e-04
197/224 [=========================>....] - ETA: 0s - loss: 4.5804e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.4646e-04
    388. 

  388. -> test with GAN.predict
    389. 

  389. GAN tn, fp: 559, 1
    390. 

  390. GAN fn, tp: 1, 20
    391. 

  391. GAN f1 score: 0.952
    392. 

  392. GAN cohens kappa score: 0.951
    393. 

  393. 

  394. -> test with 'LR'
    395. 

  395. LR tn, fp: 551, 9
    396. 

  396. LR fn, tp: 2, 19
    397. 

  397. LR f1 score: 0.776
    398. 

  398. LR cohens kappa score: 0.766
    399. 

  399. LR average precision score: 0.933
    400. 

  400. 

  401. -> test with 'RF'
    402. 

  402. RF tn, fp: 560, 0
    403. 

  403. RF fn, tp: 3, 18
    404. 

  404. RF f1 score: 0.923
    405. 

  405. RF cohens kappa score: 0.920
    406. 

  406. 

  407. -> test with 'GB'
    408. 

  408. GB tn, fp: 558, 2
    409. 

  409. GB fn, tp: 1, 20
    410. 

  410. GB f1 score: 0.930
    411. 

  411. GB cohens kappa score: 0.928
    412. 

  412. 

  413. -> test with 'KNN'
    414. 

  414. KNN tn, fp: 557, 3
    415. 

  415. KNN fn, tp: 1, 20
    416. 

  416. KNN f1 score: 0.909
    417. 

  417. KNN cohens kappa score: 0.906
    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 2152 synthetic samples
    424. 

  424. -> retrain GAN for predict
    425. 

  425. Epoch 1/10
    426. 

  426. 
  1/224 [..............................] - ETA: 47s - loss: 0.0021
 42/224 [====>.........................] - ETA: 0s - loss: 9.9824e-04
 79/224 [=========>....................] - ETA: 0s - loss: 9.8480e-04
120/224 [===============>..............] - ETA: 0s - loss: 8.3631e-04
160/224 [====================>.........] - ETA: 0s - loss: 8.5796e-04
196/224 [=========================>....] - ETA: 0s - loss: 7.4004e-04
224/224 [==============================] - 1s 1ms/step - loss: 6.7602e-04
    427. 

  427. Epoch 2/10
    428. 

  428. 
  1/224 [..............................] - ETA: 0s - loss: 1.9521e-05
 36/224 [===>..........................] - ETA: 0s - loss: 3.8103e-04
 76/224 [=========>....................] - ETA: 0s - loss: 5.0282e-04
113/224 [==============>...............] - ETA: 0s - loss: 5.2569e-04
154/224 [===================>..........] - ETA: 0s - loss: 5.4116e-04
192/224 [========================>.....] - ETA: 0s - loss: 5.2242e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.2266e-04
    429. 

  429. Epoch 3/10
    430. 

  430. 
  1/224 [..............................] - ETA: 0s - loss: 2.7898e-04
 40/224 [====>.........................] - ETA: 0s - loss: 7.3048e-04
 77/224 [=========>....................] - ETA: 0s - loss: 6.3006e-04
117/224 [==============>...............] - ETA: 0s - loss: 5.0014e-04
154/224 [===================>..........] - ETA: 0s - loss: 4.7055e-04
192/224 [========================>.....] - ETA: 0s - loss: 4.4747e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.6335e-04
    431. 

  431. Epoch 4/10
    432. 

  432. 
  1/224 [..............................] - ETA: 0s - loss: 1.6965e-05
 41/224 [====>.........................] - ETA: 0s - loss: 6.7568e-04
 79/224 [=========>....................] - ETA: 0s - loss: 6.1653e-04
120/224 [===============>..............] - ETA: 0s - loss: 5.7582e-04
162/224 [====================>.........] - ETA: 0s - loss: 4.8729e-04
198/224 [=========================>....] - ETA: 0s - loss: 4.5709e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.7011e-04
    433. 

  433. Epoch 5/10
    434. 

  434. 
  1/224 [..............................] - ETA: 1s - loss: 6.3460e-06
 40/224 [====>.........................] - ETA: 0s - loss: 5.7042e-04
 78/224 [=========>....................] - ETA: 0s - loss: 4.0870e-04
111/224 [=============>................] - ETA: 0s - loss: 3.9018e-04
145/224 [==================>...........] - ETA: 0s - loss: 4.8347e-04
175/224 [======================>.......] - ETA: 0s - loss: 4.5629e-04
213/224 [===========================>..] - ETA: 0s - loss: 4.0410e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.9565e-04
    435. 

  435. Epoch 6/10
    436. 

  436. 
  1/224 [..............................] - ETA: 0s - loss: 1.0801e-04
 41/224 [====>.........................] - ETA: 0s - loss: 4.8783e-04
 80/224 [=========>....................] - ETA: 0s - loss: 3.5296e-04
119/224 [==============>...............] - ETA: 0s - loss: 3.3407e-04
159/224 [====================>.........] - ETA: 0s - loss: 3.6853e-04
199/224 [=========================>....] - ETA: 0s - loss: 3.6134e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.6511e-04
    437. 

  437. Epoch 7/10
    438. 

  438. 
  1/224 [..............................] - ETA: 0s - loss: 7.2672e-05
 41/224 [====>.........................] - ETA: 0s - loss: 2.8269e-04
 80/224 [=========>....................] - ETA: 0s - loss: 2.2625e-04
120/224 [===============>..............] - ETA: 0s - loss: 4.2241e-04
160/224 [====================>.........] - ETA: 0s - loss: 4.3426e-04
200/224 [=========================>....] - ETA: 0s - loss: 4.2571e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.1320e-04
    439. 

  439. Epoch 8/10
    440. 

  440. 
  1/224 [..............................] - ETA: 0s - loss: 7.7817e-04
 41/224 [====>.........................] - ETA: 0s - loss: 1.7506e-04
 81/224 [=========>....................] - ETA: 0s - loss: 3.3619e-04
121/224 [===============>..............] - ETA: 0s - loss: 3.4395e-04
161/224 [====================>.........] - ETA: 0s - loss: 4.0619e-04
201/224 [=========================>....] - ETA: 0s - loss: 3.5914e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.6812e-04
    441. 

  441. Epoch 9/10
    442. 

  442. 
  1/224 [..............................] - ETA: 0s - loss: 5.8757e-04
 40/224 [====>.........................] - ETA: 0s - loss: 2.8072e-04
 79/224 [=========>....................] - ETA: 0s - loss: 3.2509e-04
118/224 [==============>...............] - ETA: 0s - loss: 2.8192e-04
157/224 [====================>.........] - ETA: 0s - loss: 2.9217e-04
196/224 [=========================>....] - ETA: 0s - loss: 2.8926e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.0905e-04
    443. 

  443. Epoch 10/10
    444. 

  444. 
  1/224 [..............................] - ETA: 0s - loss: 1.2580e-04
 40/224 [====>.........................] - ETA: 0s - loss: 3.3382e-04
 81/224 [=========>....................] - ETA: 0s - loss: 2.7754e-04
121/224 [===============>..............] - ETA: 0s - loss: 2.7007e-04
159/224 [====================>.........] - ETA: 0s - loss: 2.5855e-04
199/224 [=========================>....] - ETA: 0s - loss: 2.8338e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.0304e-04
    445. 

  445. -> test with GAN.predict
    446. 

  446. GAN tn, fp: 559, 1
    447. 

  447. GAN fn, tp: 1, 20
    448. 

  448. GAN f1 score: 0.952
    449. 

  449. GAN cohens kappa score: 0.951
    450. 

  450. 

  451. -> test with 'LR'
    452. 

  452. LR tn, fp: 543, 17
    453. 

  453. LR fn, tp: 0, 21
    454. 

  454. LR f1 score: 0.712
    455. 

  455. LR cohens kappa score: 0.698
    456. 

  456. LR average precision score: 0.897
    457. 

  457. 

  458. -> test with 'RF'
    459. 

  459. RF tn, fp: 560, 0
    460. 

  460. RF fn, tp: 1, 20
    461. 

  461. RF f1 score: 0.976
    462. 

  462. RF cohens kappa score: 0.975
    463. 

  463. 

  464. -> test with 'GB'
    465. 

  465. GB tn, fp: 560, 0
    466. 

  466. GB fn, tp: 1, 20
    467. 

  467. GB f1 score: 0.976
    468. 

  468. GB cohens kappa score: 0.975
    469. 

  469. 

  470. -> test with 'KNN'
    471. 

  471. KNN tn, fp: 558, 2
    472. 

  472. KNN fn, tp: 0, 21
    473. 

  473. KNN f1 score: 0.955
    474. 

  474. KNN cohens kappa score: 0.953
    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 2152 synthetic samples
    481. 

  481. -> retrain GAN for predict
    482. 

  482. Epoch 1/10
    483. 

  483. 
  1/224 [..............................] - ETA: 36s - loss: 4.5673e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0092     
 80/224 [=========>....................] - ETA: 0s - loss: 0.0060
117/224 [==============>...............] - ETA: 0s - loss: 0.0065
151/224 [===================>..........] - ETA: 0s - loss: 0.0070
188/224 [========================>.....] - ETA: 0s - loss: 0.0059
224/224 [==============================] - 0s 1ms/step - loss: 0.0052
    484. 

  484. Epoch 2/10
    485. 

  485. 
  1/224 [..............................] - ETA: 0s - loss: 7.4065e-04
 37/224 [===>..........................] - ETA: 0s - loss: 0.0010    
 73/224 [========>.....................] - ETA: 0s - loss: 0.0027
109/224 [=============>................] - ETA: 0s - loss: 0.0022
149/224 [==================>...........] - ETA: 0s - loss: 0.0022
189/224 [========================>.....] - ETA: 0s - loss: 0.0026
220/224 [============================>.] - ETA: 0s - loss: 0.0027
224/224 [==============================] - 0s 1ms/step - loss: 0.0027
    486. 

  486. Epoch 3/10
    487. 

  487. 
  1/224 [..............................] - ETA: 0s - loss: 3.9548e-04
 34/224 [===>..........................] - ETA: 0s - loss: 0.0013    
 64/224 [=======>......................] - ETA: 0s - loss: 0.0014
101/224 [============>.................] - ETA: 0s - loss: 0.0015
140/224 [=================>............] - ETA: 0s - loss: 0.0014
177/224 [======================>.......] - ETA: 0s - loss: 0.0020
216/224 [===========================>..] - ETA: 0s - loss: 0.0019
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
    488. 

  488. Epoch 4/10
    489. 

  489. 
  1/224 [..............................] - ETA: 0s - loss: 1.2006e-05
 37/224 [===>..........................] - ETA: 0s - loss: 7.1791e-04
 77/224 [=========>....................] - ETA: 0s - loss: 7.5187e-04
112/224 [==============>...............] - ETA: 0s - loss: 7.3623e-04
152/224 [===================>..........] - ETA: 0s - loss: 0.0013    
185/224 [=======================>......] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    490. 

  490. Epoch 5/10
    491. 

  491. 
  1/224 [..............................] - ETA: 0s - loss: 4.3830e-05
 41/224 [====>.........................] - ETA: 0s - loss: 6.8793e-04
 79/224 [=========>....................] - ETA: 0s - loss: 6.1767e-04
121/224 [===============>..............] - ETA: 0s - loss: 8.6501e-04
158/224 [====================>.........] - ETA: 0s - loss: 8.9755e-04
198/224 [=========================>....] - ETA: 0s - loss: 9.2688e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    492. 

  492. Epoch 6/10
    493. 

  493. 
  1/224 [..............................] - ETA: 1s - loss: 6.8746e-06
 43/224 [====>.........................] - ETA: 0s - loss: 8.9407e-04
 83/224 [==========>...................] - ETA: 0s - loss: 0.0012    
119/224 [==============>...............] - ETA: 0s - loss: 0.0012
161/224 [====================>.........] - ETA: 0s - loss: 9.9400e-04
197/224 [=========================>....] - ETA: 0s - loss: 0.0014    
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    494. 

  494. Epoch 7/10
    495. 

  495. 
  1/224 [..............................] - ETA: 0s - loss: 1.7365e-06
 40/224 [====>.........................] - ETA: 0s - loss: 8.9498e-04
 76/224 [=========>....................] - ETA: 0s - loss: 6.5724e-04
117/224 [==============>...............] - ETA: 0s - loss: 8.3139e-04
154/224 [===================>..........] - ETA: 0s - loss: 9.3884e-04
194/224 [========================>.....] - ETA: 0s - loss: 0.0011    
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    496. 

  496. Epoch 8/10
    497. 

  497. 
  1/224 [..............................] - ETA: 0s - loss: 0.0174
 41/224 [====>.........................] - ETA: 0s - loss: 0.0013
 79/224 [=========>....................] - ETA: 0s - loss: 0.0012
117/224 [==============>...............] - ETA: 0s - loss: 0.0012
155/224 [===================>..........] - ETA: 0s - loss: 0.0012
194/224 [========================>.....] - ETA: 0s - loss: 9.7741e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.8346e-04
    498. 

  498. Epoch 9/10
    499. 

  499. 
  1/224 [..............................] - ETA: 0s - loss: 0.0300
 42/224 [====>.........................] - ETA: 0s - loss: 0.0017
 83/224 [==========>...................] - ETA: 0s - loss: 0.0013
120/224 [===============>..............] - ETA: 0s - loss: 0.0011
155/224 [===================>..........] - ETA: 0s - loss: 0.0012
192/224 [========================>.....] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 9.3980e-04
    500. 

  500. Epoch 10/10
    501. 

  501. 
  1/224 [..............................] - ETA: 0s - loss: 4.6635e-05
 36/224 [===>..........................] - ETA: 0s - loss: 2.2033e-04
 73/224 [========>.....................] - ETA: 0s - loss: 9.6257e-04
106/224 [=============>................] - ETA: 0s - loss: 7.9913e-04
145/224 [==================>...........] - ETA: 0s - loss: 6.8933e-04
186/224 [=======================>......] - ETA: 0s - loss: 6.4127e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.8425e-04
    502. 

  502. -> test with GAN.predict
    503. 

  503. GAN tn, fp: 560, 0
    504. 

  504. GAN fn, tp: 0, 21
    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: 538, 22
    510. 

  510. LR fn, tp: 0, 21
    511. 

  511. LR f1 score: 0.656
    512. 

  512. LR cohens kappa score: 0.639
    513. 

  513. LR average precision score: 0.876
    514. 

  514. 

  515. -> test with 'RF'
    516. 

  516. RF tn, fp: 559, 1
    517. 

  517. RF fn, tp: 3, 18
    518. 

  518. RF f1 score: 0.900
    519. 

  519. RF cohens kappa score: 0.896
    520. 

  520. 

  521. -> test with 'GB'
    522. 

  522. GB tn, fp: 559, 1
    523. 

  523. GB fn, tp: 1, 20
    524. 

  524. GB f1 score: 0.952
    525. 

  525. GB cohens kappa score: 0.951
    526. 

  526. 

  527. -> test with 'KNN'
    528. 

  528. KNN tn, fp: 550, 10
    529. 

  529. KNN fn, tp: 1, 20
    530. 

  530. KNN f1 score: 0.784
    531. 

  531. KNN cohens kappa score: 0.775
    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 2156 synthetic samples
    538. 

  538. -> retrain GAN for predict
    539. 

  539. Epoch 1/10
    540. 

  540. 
  1/224 [..............................] - ETA: 31s - loss: 7.1762e-04
 44/224 [====>.........................] - ETA: 0s - loss: 0.0058     
 86/224 [==========>...................] - ETA: 0s - loss: 0.0051
121/224 [===============>..............] - ETA: 0s - loss: 0.0059
164/224 [====================>.........] - ETA: 0s - loss: 0.0070
204/224 [==========================>...] - ETA: 0s - loss: 0.0075
224/224 [==============================] - 0s 1ms/step - loss: 0.0068
    541. 

  541. Epoch 2/10
    542. 

  542. 
  1/224 [..............................] - ETA: 0s - loss: 2.5995e-06
 44/224 [====>.........................] - ETA: 0s - loss: 0.0062    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0048
127/224 [================>.............] - ETA: 0s - loss: 0.0049
169/224 [=====================>........] - ETA: 0s - loss: 0.0048
213/224 [===========================>..] - ETA: 0s - loss: 0.0053
224/224 [==============================] - 0s 1ms/step - loss: 0.0059
    543. 

  543. Epoch 3/10
    544. 

  544. 
  1/224 [..............................] - ETA: 0s - loss: 4.5032e-04
 44/224 [====>.........................] - ETA: 0s - loss: 0.0013    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0019
124/224 [===============>..............] - ETA: 0s - loss: 0.0046
165/224 [=====================>........] - ETA: 0s - loss: 0.0050
207/224 [==========================>...] - ETA: 0s - loss: 0.0055
224/224 [==============================] - 0s 1ms/step - loss: 0.0051
    545. 

  545. Epoch 4/10
    546. 

  546. 
  1/224 [..............................] - ETA: 0s - loss: 2.7300e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0024    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0032
125/224 [===============>..............] - ETA: 0s - loss: 0.0042
164/224 [====================>.........] - ETA: 0s - loss: 0.0053
196/224 [=========================>....] - ETA: 0s - loss: 0.0049
224/224 [==============================] - 0s 1ms/step - loss: 0.0044
    547. 

  547. Epoch 5/10
    548. 

  548. 
  1/224 [..............................] - ETA: 0s - loss: 1.1088e-05
 39/224 [====>.........................] - ETA: 0s - loss: 0.0053    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0045
117/224 [==============>...............] - ETA: 0s - loss: 0.0034
160/224 [====================>.........] - ETA: 0s - loss: 0.0040
202/224 [==========================>...] - ETA: 0s - loss: 0.0042
224/224 [==============================] - 0s 1ms/step - loss: 0.0044
    549. 

  549. Epoch 6/10
    550. 

  550. 
  1/224 [..............................] - ETA: 0s - loss: 0.0011
 44/224 [====>.........................] - ETA: 0s - loss: 0.0028
 83/224 [==========>...................] - ETA: 0s - loss: 0.0026
126/224 [===============>..............] - ETA: 0s - loss: 0.0039
168/224 [=====================>........] - ETA: 0s - loss: 0.0034
208/224 [==========================>...] - ETA: 0s - loss: 0.0039
224/224 [==============================] - 0s 1ms/step - loss: 0.0038
    551. 

  551. Epoch 7/10
    552. 

  552. 
  1/224 [..............................] - ETA: 0s - loss: 3.0191e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0041    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0027
125/224 [===============>..............] - ETA: 0s - loss: 0.0030
165/224 [=====================>........] - ETA: 0s - loss: 0.0039
209/224 [==========================>...] - ETA: 0s - loss: 0.0041
224/224 [==============================] - 0s 1ms/step - loss: 0.0041
    553. 

  553. Epoch 8/10
    554. 

  554. 
  1/224 [..............................] - ETA: 0s - loss: 2.5182e-05
 40/224 [====>.........................] - ETA: 0s - loss: 0.0044    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0039
125/224 [===============>..............] - ETA: 0s - loss: 0.0054
164/224 [====================>.........] - ETA: 0s - loss: 0.0048
207/224 [==========================>...] - ETA: 0s - loss: 0.0041
224/224 [==============================] - 0s 1ms/step - loss: 0.0040
    555. 

  555. Epoch 9/10
    556. 

  556. 
  1/224 [..............................] - ETA: 0s - loss: 2.0562e-05
 39/224 [====>.........................] - ETA: 0s - loss: 0.0031    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0042
122/224 [===============>..............] - ETA: 0s - loss: 0.0049
163/224 [====================>.........] - ETA: 0s - loss: 0.0040
205/224 [==========================>...] - ETA: 0s - loss: 0.0036
224/224 [==============================] - 0s 1ms/step - loss: 0.0038
    557. 

  557. Epoch 10/10
    558. 

  558. 
  1/224 [..............................] - ETA: 0s - loss: 2.3523e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0030    
 85/224 [==========>...................] - ETA: 0s - loss: 0.0042
121/224 [===============>..............] - ETA: 0s - loss: 0.0046
164/224 [====================>.........] - ETA: 0s - loss: 0.0041
208/224 [==========================>...] - ETA: 0s - loss: 0.0034
224/224 [==============================] - 0s 1ms/step - loss: 0.0032
    559. 

  559. -> test with GAN.predict
    560. 

  560. GAN tn, fp: 555, 1
    561. 

  561. GAN fn, tp: 1, 20
    562. 

  562. GAN f1 score: 0.952
    563. 

  563. GAN cohens kappa score: 0.951
    564. 

  564. 

  565. -> test with 'LR'
    566. 

  566. LR tn, fp: 538, 18
    567. 

  567. LR fn, tp: 0, 21
    568. 

  568. LR f1 score: 0.700
    569. 

  569. LR cohens kappa score: 0.685
    570. 

  570. LR average precision score: 0.912
    571. 

  571. 

  572. -> test with 'RF'
    573. 

  573. RF tn, fp: 556, 0
    574. 

  574. RF fn, tp: 2, 19
    575. 

  575. RF f1 score: 0.950
    576. 

  576. RF cohens kappa score: 0.948
    577. 

  577. 

  578. -> test with 'GB'
    579. 

  579. GB tn, fp: 556, 0
    580. 

  580. GB fn, tp: 0, 21
    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: 551, 5
    586. 

  586. KNN fn, tp: 0, 21
    587. 

  587. KNN f1 score: 0.894
    588. 

  588. KNN cohens kappa score: 0.889
    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 2152 synthetic samples
    599. 

  599. -> retrain GAN for predict
    600. 

  600. Epoch 1/10
    601. 

  601. 
  1/224 [..............................] - ETA: 47s - loss: 7.0290e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0011     
 84/224 [==========>...................] - ETA: 0s - loss: 0.0010
124/224 [===============>..............] - ETA: 0s - loss: 9.9457e-04
163/224 [====================>.........] - ETA: 0s - loss: 0.0015    
196/224 [=========================>....] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 1s 1ms/step - loss: 0.0014
    602. 

  602. Epoch 2/10
    603. 

  603. 
  1/224 [..............................] - ETA: 0s - loss: 3.9627e-04
 37/224 [===>..........................] - ETA: 0s - loss: 7.7148e-04
 77/224 [=========>....................] - ETA: 0s - loss: 9.5903e-04
119/224 [==============>...............] - ETA: 0s - loss: 0.0012    
163/224 [====================>.........] - ETA: 0s - loss: 0.0011
205/224 [==========================>...] - ETA: 0s - loss: 9.8629e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.3131e-04
    604. 

  604. Epoch 3/10
    605. 

  605. 
  1/224 [..............................] - ETA: 0s - loss: 2.0638e-04
 42/224 [====>.........................] - ETA: 0s - loss: 8.2888e-04
 83/224 [==========>...................] - ETA: 0s - loss: 6.6419e-04
122/224 [===============>..............] - ETA: 0s - loss: 9.7646e-04
161/224 [====================>.........] - ETA: 0s - loss: 8.9517e-04
200/224 [=========================>....] - ETA: 0s - loss: 8.8675e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.4051e-04
    606. 

  606. Epoch 4/10
    607. 

  607. 
  1/224 [..............................] - ETA: 0s - loss: 6.4218e-05
 39/224 [====>.........................] - ETA: 0s - loss: 6.9817e-04
 79/224 [=========>....................] - ETA: 0s - loss: 6.5447e-04
117/224 [==============>...............] - ETA: 0s - loss: 5.3541e-04
157/224 [====================>.........] - ETA: 0s - loss: 6.2987e-04
196/224 [=========================>....] - ETA: 0s - loss: 6.0441e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.8435e-04
    608. 

  608. Epoch 5/10
    609. 

  609. 
  1/224 [..............................] - ETA: 0s - loss: 2.8530e-04
 39/224 [====>.........................] - ETA: 0s - loss: 0.0010    
 78/224 [=========>....................] - ETA: 0s - loss: 7.5254e-04
118/224 [==============>...............] - ETA: 0s - loss: 7.1309e-04
158/224 [====================>.........] - ETA: 0s - loss: 6.3699e-04
198/224 [=========================>....] - ETA: 0s - loss: 6.0062e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.9067e-04
    610. 

  610. Epoch 6/10
    611. 

  611. 
  1/224 [..............................] - ETA: 0s - loss: 8.8973e-05
 39/224 [====>.........................] - ETA: 0s - loss: 4.1227e-04
 76/224 [=========>....................] - ETA: 0s - loss: 4.6312e-04
115/224 [==============>...............] - ETA: 0s - loss: 5.6039e-04
154/224 [===================>..........] - ETA: 0s - loss: 5.4285e-04
193/224 [========================>.....] - ETA: 0s - loss: 5.0305e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.0909e-04
    612. 

  612. Epoch 7/10
    613. 

  613. 
  1/224 [..............................] - ETA: 0s - loss: 1.8962e-06
 41/224 [====>.........................] - ETA: 0s - loss: 7.5429e-04
 81/224 [=========>....................] - ETA: 0s - loss: 5.0053e-04
120/224 [===============>..............] - ETA: 0s - loss: 4.8739e-04
160/224 [====================>.........] - ETA: 0s - loss: 4.7352e-04
200/224 [=========================>....] - ETA: 0s - loss: 4.7949e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.7097e-04
    614. 

  614. Epoch 8/10
    615. 

  615. 
  1/224 [..............................] - ETA: 0s - loss: 2.7768e-04
 40/224 [====>.........................] - ETA: 0s - loss: 3.4925e-04
 79/224 [=========>....................] - ETA: 0s - loss: 3.9113e-04
119/224 [==============>...............] - ETA: 0s - loss: 3.7753e-04
160/224 [====================>.........] - ETA: 0s - loss: 3.8363e-04
199/224 [=========================>....] - ETA: 0s - loss: 3.9390e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.3224e-04
    616. 

  616. Epoch 9/10
    617. 

  617. 
  1/224 [..............................] - ETA: 0s - loss: 3.2249e-04
 38/224 [====>.........................] - ETA: 0s - loss: 4.3469e-04
 72/224 [========>.....................] - ETA: 0s - loss: 5.0154e-04
103/224 [============>.................] - ETA: 0s - loss: 4.8978e-04
140/224 [=================>............] - ETA: 0s - loss: 4.4125e-04
180/224 [=======================>......] - ETA: 0s - loss: 3.9259e-04
220/224 [============================>.] - ETA: 0s - loss: 3.5065e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.4577e-04
    618. 

  618. Epoch 10/10
    619. 

  619. 
  1/224 [..............................] - ETA: 0s - loss: 2.9731e-05
 41/224 [====>.........................] - ETA: 0s - loss: 2.3709e-04
 81/224 [=========>....................] - ETA: 0s - loss: 3.6347e-04
117/224 [==============>...............] - ETA: 0s - loss: 3.1119e-04
155/224 [===================>..........] - ETA: 0s - loss: 2.8149e-04
188/224 [========================>.....] - ETA: 0s - loss: 3.4505e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.4474e-04
    620. 

  620. -> test with GAN.predict
    621. 

  621. GAN tn, fp: 560, 0
    622. 

  622. GAN fn, tp: 0, 21
    623. 

  623. GAN f1 score: 1.000
    624. 

  624. GAN cohens kappa score: 1.000
    625. 

  625. 

  626. -> test with 'LR'
    627. 

  627. LR tn, fp: 546, 14
    628. 

  628. LR fn, tp: 0, 21
    629. 

  629. LR f1 score: 0.750
    630. 

  630. LR cohens kappa score: 0.738
    631. 

  631. LR average precision score: 0.937
    632. 

  632. 

  633. -> test with 'RF'
    634. 

  634. RF tn, fp: 559, 1
    635. 

  635. RF fn, tp: 2, 19
    636. 

  636. RF f1 score: 0.927
    637. 

  637. RF cohens kappa score: 0.924
    638. 

  638. 

  639. -> test with 'GB'
    640. 

  640. GB tn, fp: 559, 1
    641. 

  641. GB fn, tp: 1, 20
    642. 

  642. GB f1 score: 0.952
    643. 

  643. GB cohens kappa score: 0.951
    644. 

  644. 

  645. -> test with 'KNN'
    646. 

  646. KNN tn, fp: 551, 9
    647. 

  647. KNN fn, tp: 0, 21
    648. 

  648. KNN f1 score: 0.824
    649. 

  649. KNN cohens kappa score: 0.816
    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 2152 synthetic samples
    656. 

  656. -> retrain GAN for predict
    657. 

  657. Epoch 1/10
    658. 

  658. 
  1/224 [..............................] - ETA: 34s - loss: 0.0024
 42/224 [====>.........................] - ETA: 0s - loss: 0.0044 
 83/224 [==========>...................] - ETA: 0s - loss: 0.0057
124/224 [===============>..............] - ETA: 0s - loss: 0.0043
160/224 [====================>.........] - ETA: 0s - loss: 0.0042
194/224 [========================>.....] - ETA: 0s - loss: 0.0038
224/224 [==============================] - 0s 1ms/step - loss: 0.0039
    659. 

  659. Epoch 2/10
    660. 

  660. 
  1/224 [..............................] - ETA: 0s - loss: 6.8131e-04
 39/224 [====>.........................] - ETA: 0s - loss: 0.0029    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0031
121/224 [===============>..............] - ETA: 0s - loss: 0.0031
161/224 [====================>.........] - ETA: 0s - loss: 0.0027
201/224 [=========================>....] - ETA: 0s - loss: 0.0027
224/224 [==============================] - 0s 1ms/step - loss: 0.0026
    661. 

  661. Epoch 3/10
    662. 

  662. 
  1/224 [..............................] - ETA: 0s - loss: 0.0066
 41/224 [====>.........................] - ETA: 0s - loss: 0.0021
 80/224 [=========>....................] - ETA: 0s - loss: 0.0023
120/224 [===============>..............] - ETA: 0s - loss: 0.0024
161/224 [====================>.........] - ETA: 0s - loss: 0.0020
202/224 [==========================>...] - ETA: 0s - loss: 0.0021
224/224 [==============================] - 0s 1ms/step - loss: 0.0020
    663. 

  663. Epoch 4/10
    664. 

  664. 
  1/224 [..............................] - ETA: 0s - loss: 9.4968e-06
 38/224 [====>.........................] - ETA: 0s - loss: 0.0033    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0024
121/224 [===============>..............] - ETA: 0s - loss: 0.0019
162/224 [====================>.........] - ETA: 0s - loss: 0.0019
203/224 [==========================>...] - ETA: 0s - loss: 0.0019
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
    665. 

  665. Epoch 5/10
    666. 

  666. 
  1/224 [..............................] - ETA: 0s - loss: 8.0334e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0027    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0024
121/224 [===============>..............] - ETA: 0s - loss: 0.0018
163/224 [====================>.........] - ETA: 0s - loss: 0.0016
203/224 [==========================>...] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
    667. 

  667. Epoch 6/10
    668. 

  668. 
  1/224 [..............................] - ETA: 0s - loss: 0.0063
 42/224 [====>.........................] - ETA: 0s - loss: 0.0021
 82/224 [=========>....................] - ETA: 0s - loss: 0.0016
122/224 [===============>..............] - ETA: 0s - loss: 0.0015
164/224 [====================>.........] - ETA: 0s - loss: 0.0015
206/224 [==========================>...] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    669. 

  669. Epoch 7/10
    670. 

  670. 
  1/224 [..............................] - ETA: 0s - loss: 7.4911e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0016
125/224 [===============>..............] - ETA: 0s - loss: 0.0015
166/224 [=====================>........] - ETA: 0s - loss: 0.0013
206/224 [==========================>...] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    671. 

  671. Epoch 8/10
    672. 

  672. 
  1/224 [..............................] - ETA: 0s - loss: 2.0511e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0012    
 84/224 [==========>...................] - ETA: 0s - loss: 7.9718e-04
124/224 [===============>..............] - ETA: 0s - loss: 7.1839e-04
164/224 [====================>.........] - ETA: 0s - loss: 9.9381e-04
206/224 [==========================>...] - ETA: 0s - loss: 0.0011    
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    673. 

  673. Epoch 9/10
    674. 

  674. 
  1/224 [..............................] - ETA: 0s - loss: 3.3853e-05
 39/224 [====>.........................] - ETA: 0s - loss: 9.7610e-04
 73/224 [========>.....................] - ETA: 0s - loss: 9.2566e-04
107/224 [=============>................] - ETA: 0s - loss: 9.2546e-04
143/224 [==================>...........] - ETA: 0s - loss: 9.0740e-04
182/224 [=======================>......] - ETA: 0s - loss: 0.0011    
222/224 [============================>.] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 0.0010
    675. 

  675. Epoch 10/10
    676. 

  676. 
  1/224 [..............................] - ETA: 0s - loss: 2.0493e-04
 41/224 [====>.........................] - ETA: 0s - loss: 7.8087e-04
 82/224 [=========>....................] - ETA: 0s - loss: 5.5689e-04
123/224 [===============>..............] - ETA: 0s - loss: 4.4983e-04
162/224 [====================>.........] - ETA: 0s - loss: 5.5548e-04
202/224 [==========================>...] - ETA: 0s - loss: 9.3345e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.2939e-04
    677. 

  677. -> test with GAN.predict
    678. 

  678. GAN tn, fp: 560, 0
    679. 

  679. GAN fn, tp: 2, 19
    680. 

  680. GAN f1 score: 0.950
    681. 

  681. GAN cohens kappa score: 0.948
    682. 

  682. 

  683. -> test with 'LR'
    684. 

  684. LR tn, fp: 552, 8
    685. 

  685. LR fn, tp: 1, 20
    686. 

  686. LR f1 score: 0.816
    687. 

  687. LR cohens kappa score: 0.808
    688. 

  688. LR average precision score: 0.896
    689. 

  689. 

  690. -> test with 'RF'
    691. 

  691. RF tn, fp: 560, 0
    692. 

  692. RF fn, tp: 3, 18
    693. 

  693. RF f1 score: 0.923
    694. 

  694. RF cohens kappa score: 0.920
    695. 

  695. 

  696. -> test with 'GB'
    697. 

  697. GB tn, fp: 560, 0
    698. 

  698. GB fn, tp: 1, 20
    699. 

  699. GB f1 score: 0.976
    700. 

  700. GB cohens kappa score: 0.975
    701. 

  701. 

  702. -> test with 'KNN'
    703. 

  703. KNN tn, fp: 555, 5
    704. 

  704. KNN fn, tp: 0, 21
    705. 

  705. KNN f1 score: 0.894
    706. 

  706. KNN cohens kappa score: 0.889
    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 2152 synthetic samples
    713. 

  713. -> retrain GAN for predict
    714. 

  714. Epoch 1/10
    715. 

  715. 
  1/224 [..............................] - ETA: 44s - loss: 0.0031
 39/224 [====>.........................] - ETA: 0s - loss: 0.0026 
 79/224 [=========>....................] - ETA: 0s - loss: 0.0016
120/224 [===============>..............] - ETA: 0s - loss: 0.0014
161/224 [====================>.........] - ETA: 0s - loss: 0.0013
201/224 [=========================>....] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
    716. 

  716. Epoch 2/10
    717. 

  717. 
  1/224 [..............................] - ETA: 0s - loss: 2.7318e-05
 36/224 [===>..........................] - ETA: 0s - loss: 0.0012    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0011
118/224 [==============>...............] - ETA: 0s - loss: 0.0016
159/224 [====================>.........] - ETA: 0s - loss: 0.0016
199/224 [=========================>....] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    718. 

  718. Epoch 3/10
    719. 

  719. 
  1/224 [..............................] - ETA: 0s - loss: 1.0461e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0022    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0016
125/224 [===============>..............] - ETA: 0s - loss: 0.0014
166/224 [=====================>........] - ETA: 0s - loss: 0.0012
206/224 [==========================>...] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 1ms/step - loss: 9.8567e-04
    720. 

  720. Epoch 4/10
    721. 

  721. 
  1/224 [..............................] - ETA: 0s - loss: 5.2108e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0022    
 74/224 [========>.....................] - ETA: 0s - loss: 0.0016
105/224 [=============>................] - ETA: 0s - loss: 0.0014
136/224 [=================>............] - ETA: 0s - loss: 0.0011
174/224 [======================>.......] - ETA: 0s - loss: 0.0010
214/224 [===========================>..] - ETA: 0s - loss: 9.9763e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.6493e-04
    722. 

  722. Epoch 5/10
    723. 

  723. 
  1/224 [..............................] - ETA: 0s - loss: 3.5749e-05
 41/224 [====>.........................] - ETA: 0s - loss: 6.9189e-04
 82/224 [=========>....................] - ETA: 0s - loss: 5.5369e-04
122/224 [===============>..............] - ETA: 0s - loss: 5.8682e-04
162/224 [====================>.........] - ETA: 0s - loss: 5.4937e-04
203/224 [==========================>...] - ETA: 0s - loss: 7.7966e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.0216e-04
    724. 

  724. Epoch 6/10
    725. 

  725. 
  1/224 [..............................] - ETA: 0s - loss: 4.2536e-07
 43/224 [====>.........................] - ETA: 0s - loss: 5.3549e-04
 82/224 [=========>....................] - ETA: 0s - loss: 6.5540e-04
123/224 [===============>..............] - ETA: 0s - loss: 5.4802e-04
163/224 [====================>.........] - ETA: 0s - loss: 7.6514e-04
203/224 [==========================>...] - ETA: 0s - loss: 6.8595e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.5462e-04
    726. 

  726. Epoch 7/10
    727. 

  727. 
  1/224 [..............................] - ETA: 0s - loss: 6.9088e-05
 40/224 [====>.........................] - ETA: 0s - loss: 4.1574e-04
 81/224 [=========>....................] - ETA: 0s - loss: 4.0303e-04
122/224 [===============>..............] - ETA: 0s - loss: 4.0467e-04
163/224 [====================>.........] - ETA: 0s - loss: 6.2006e-04
203/224 [==========================>...] - ETA: 0s - loss: 5.7838e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.6349e-04
    728. 

  728. Epoch 8/10
    729. 

  729. 
  1/224 [..............................] - ETA: 0s - loss: 0.0029
 40/224 [====>.........................] - ETA: 0s - loss: 6.1722e-04
 79/224 [=========>....................] - ETA: 0s - loss: 3.8721e-04
116/224 [==============>...............] - ETA: 0s - loss: 4.2572e-04
155/224 [===================>..........] - ETA: 0s - loss: 3.7875e-04
195/224 [=========================>....] - ETA: 0s - loss: 4.8950e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.0192e-04
    730. 

  730. Epoch 9/10
    731. 

  731. 
  1/224 [..............................] - ETA: 0s - loss: 9.0298e-05
 42/224 [====>.........................] - ETA: 0s - loss: 4.8401e-04
 81/224 [=========>....................] - ETA: 0s - loss: 4.5716e-04
118/224 [==============>...............] - ETA: 0s - loss: 5.2146e-04
159/224 [====================>.........] - ETA: 0s - loss: 4.4676e-04
200/224 [=========================>....] - ETA: 0s - loss: 4.3496e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.1433e-04
    732. 

  732. Epoch 10/10
    733. 

  733. 
  1/224 [..............................] - ETA: 0s - loss: 9.6707e-06
 41/224 [====>.........................] - ETA: 0s - loss: 3.2605e-04
 81/224 [=========>....................] - ETA: 0s - loss: 3.4566e-04
122/224 [===============>..............] - ETA: 0s - loss: 4.9742e-04
163/224 [====================>.........] - ETA: 0s - loss: 4.3747e-04
203/224 [==========================>...] - ETA: 0s - loss: 3.8530e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.5964e-04
    734. 

  734. -> test with GAN.predict
    735. 

  735. GAN tn, fp: 560, 0
    736. 

  736. GAN fn, tp: 1, 20
    737. 

  737. GAN f1 score: 0.976
    738. 

  738. GAN cohens kappa score: 0.975
    739. 

  739. 

  740. -> test with 'LR'
    741. 

  741. LR tn, fp: 539, 21
    742. 

  742. LR fn, tp: 1, 20
    743. 

  743. LR f1 score: 0.645
    744. 

  744. LR cohens kappa score: 0.627
    745. 

  745. LR average precision score: 0.870
    746. 

  746. 

  747. -> test with 'RF'
    748. 

  748. RF tn, fp: 560, 0
    749. 

  749. RF fn, tp: 3, 18
    750. 

  750. RF f1 score: 0.923
    751. 

  751. RF cohens kappa score: 0.920
    752. 

  752. 

  753. -> test with 'GB'
    754. 

  754. GB tn, fp: 560, 0
    755. 

  755. GB fn, tp: 0, 21
    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: 554, 6
    761. 

  761. KNN fn, tp: 0, 21
    762. 

  762. KNN f1 score: 0.875
    763. 

  763. KNN cohens kappa score: 0.870
    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 2152 synthetic samples
    770. 

  770. -> retrain GAN for predict
    771. 

  771. Epoch 1/10
    772. 

  772. 
  1/224 [..............................] - ETA: 41s - loss: 3.8366e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0030     
 81/224 [=========>....................] - ETA: 0s - loss: 0.0023
121/224 [===============>..............] - ETA: 0s - loss: 0.0033
162/224 [====================>.........] - ETA: 0s - loss: 0.0029
201/224 [=========================>....] - ETA: 0s - loss: 0.0027
224/224 [==============================] - 0s 1ms/step - loss: 0.0026
    773. 

  773. Epoch 2/10
    774. 

  774. 
  1/224 [..............................] - ETA: 0s - loss: 6.1409e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0018
118/224 [==============>...............] - ETA: 0s - loss: 0.0018
158/224 [====================>.........] - ETA: 0s - loss: 0.0018
199/224 [=========================>....] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
    775. 

  775. Epoch 3/10
    776. 

  776. 
  1/224 [..............................] - ETA: 0s - loss: 2.9851e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0016    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0013
115/224 [==============>...............] - ETA: 0s - loss: 0.0014
149/224 [==================>...........] - ETA: 0s - loss: 0.0013
185/224 [=======================>......] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    777. 

  777. Epoch 4/10
    778. 

  778. 
  1/224 [..............................] - ETA: 0s - loss: 3.0995e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0013    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0013
124/224 [===============>..............] - ETA: 0s - loss: 0.0013
162/224 [====================>.........] - ETA: 0s - loss: 0.0012
202/224 [==========================>...] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    779. 

  779. Epoch 5/10
    780. 

  780. 
  1/224 [..............................] - ETA: 0s - loss: 1.5229e-04
 42/224 [====>.........................] - ETA: 0s - loss: 5.8003e-04
 82/224 [=========>....................] - ETA: 0s - loss: 6.4990e-04
123/224 [===============>..............] - ETA: 0s - loss: 8.0544e-04
164/224 [====================>.........] - ETA: 0s - loss: 8.8543e-04
206/224 [==========================>...] - ETA: 0s - loss: 9.4454e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.3319e-04
    781. 

  781. Epoch 6/10
    782. 

  782. 
  1/224 [..............................] - ETA: 0s - loss: 1.2132e-05
 41/224 [====>.........................] - ETA: 0s - loss: 9.9517e-04
 80/224 [=========>....................] - ETA: 0s - loss: 8.8501e-04
118/224 [==============>...............] - ETA: 0s - loss: 7.9477e-04
159/224 [====================>.........] - ETA: 0s - loss: 7.1284e-04
200/224 [=========================>....] - ETA: 0s - loss: 7.6846e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.0892e-04
    783. 

  783. Epoch 7/10
    784. 

  784. 
  1/224 [..............................] - ETA: 0s - loss: 1.3338e-05
 43/224 [====>.........................] - ETA: 0s - loss: 5.2369e-04
 80/224 [=========>....................] - ETA: 0s - loss: 7.9473e-04
120/224 [===============>..............] - ETA: 0s - loss: 7.8038e-04
161/224 [====================>.........] - ETA: 0s - loss: 8.1870e-04
201/224 [=========================>....] - ETA: 0s - loss: 7.3401e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.1007e-04
    785. 

  785. Epoch 8/10
    786. 

  786. 
  1/224 [..............................] - ETA: 0s - loss: 8.3128e-06
 42/224 [====>.........................] - ETA: 0s - loss: 7.7943e-04
 83/224 [==========>...................] - ETA: 0s - loss: 6.1004e-04
124/224 [===============>..............] - ETA: 0s - loss: 5.4483e-04
165/224 [=====================>........] - ETA: 0s - loss: 6.2123e-04
201/224 [=========================>....] - ETA: 0s - loss: 5.9852e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.3442e-04
    787. 

  787. Epoch 9/10
    788. 

  788. 
  1/224 [..............................] - ETA: 0s - loss: 0.0013
 41/224 [====>.........................] - ETA: 0s - loss: 3.1516e-04
 80/224 [=========>....................] - ETA: 0s - loss: 4.8944e-04
119/224 [==============>...............] - ETA: 0s - loss: 5.3714e-04
160/224 [====================>.........] - ETA: 0s - loss: 5.5996e-04
202/224 [==========================>...] - ETA: 0s - loss: 5.7112e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.6107e-04
    789. 

  789. Epoch 10/10
    790. 

  790. 
  1/224 [..............................] - ETA: 0s - loss: 5.3024e-05
 42/224 [====>.........................] - ETA: 0s - loss: 2.4556e-04
 83/224 [==========>...................] - ETA: 0s - loss: 2.6720e-04
122/224 [===============>..............] - ETA: 0s - loss: 3.9672e-04
163/224 [====================>.........] - ETA: 0s - loss: 5.0135e-04
200/224 [=========================>....] - ETA: 0s - loss: 5.0886e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.8160e-04
    791. 

  791. -> test with GAN.predict
    792. 

  792. GAN tn, fp: 559, 1
    793. 

  793. GAN fn, tp: 0, 21
    794. 

  794. GAN f1 score: 0.977
    795. 

  795. GAN cohens kappa score: 0.976
    796. 

  796. 

  797. -> test with 'LR'
    798. 

  798. LR tn, fp: 545, 15
    799. 

  799. LR fn, tp: 1, 20
    800. 

  800. LR f1 score: 0.714
    801. 

  801. LR cohens kappa score: 0.701
    802. 

  802. LR average precision score: 0.947
    803. 

  803. 

  804. -> test with 'RF'
    805. 

  805. RF tn, fp: 560, 0
    806. 

  806. RF fn, tp: 1, 20
    807. 

  807. RF f1 score: 0.976
    808. 

  808. RF cohens kappa score: 0.975
    809. 

  809. 

  810. -> test with 'GB'
    811. 

  811. GB tn, fp: 560, 0
    812. 

  812. GB fn, tp: 0, 21
    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: 557, 3
    818. 

  818. KNN fn, tp: 0, 21
    819. 

  819. KNN f1 score: 0.933
    820. 

  820. KNN cohens kappa score: 0.931
    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 2156 synthetic samples
    827. 

  827. -> retrain GAN for predict
    828. 

  828. Epoch 1/10
    829. 

  829. 
  1/224 [..............................] - ETA: 34s - loss: 3.5596e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0038     
 84/224 [==========>...................] - ETA: 0s - loss: 0.0031
125/224 [===============>..............] - ETA: 0s - loss: 0.0054
168/224 [=====================>........] - ETA: 0s - loss: 0.0056
208/224 [==========================>...] - ETA: 0s - loss: 0.0050
224/224 [==============================] - 0s 1ms/step - loss: 0.0048
    830. 

  830. Epoch 2/10
    831. 

  831. 
  1/224 [..............................] - ETA: 0s - loss: 4.2420e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0060    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0061
127/224 [================>.............] - ETA: 0s - loss: 0.0048
169/224 [=====================>........] - ETA: 0s - loss: 0.0039
213/224 [===========================>..] - ETA: 0s - loss: 0.0050
224/224 [==============================] - 0s 1ms/step - loss: 0.0048
    832. 

  832. Epoch 3/10
    833. 

  833. 
  1/224 [..............................] - ETA: 0s - loss: 0.0012
 44/224 [====>.........................] - ETA: 0s - loss: 0.0052
 86/224 [==========>...................] - ETA: 0s - loss: 0.0039
131/224 [================>.............] - ETA: 0s - loss: 0.0043
172/224 [======================>.......] - ETA: 0s - loss: 0.0051
208/224 [==========================>...] - ETA: 0s - loss: 0.0045
224/224 [==============================] - 0s 1ms/step - loss: 0.0044
    834. 

  834. Epoch 4/10
    835. 

  835. 
  1/224 [..............................] - ETA: 0s - loss: 3.6730e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0014
122/224 [===============>..............] - ETA: 0s - loss: 0.0027
165/224 [=====================>........] - ETA: 0s - loss: 0.0035
205/224 [==========================>...] - ETA: 0s - loss: 0.0042
224/224 [==============================] - 0s 1ms/step - loss: 0.0042
    836. 

  836. Epoch 5/10
    837. 

  837. 
  1/224 [..............................] - ETA: 0s - loss: 9.6090e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0022    
 85/224 [==========>...................] - ETA: 0s - loss: 0.0017
125/224 [===============>..............] - ETA: 0s - loss: 0.0026
168/224 [=====================>........] - ETA: 0s - loss: 0.0026
211/224 [===========================>..] - ETA: 0s - loss: 0.0042
224/224 [==============================] - 0s 1ms/step - loss: 0.0041
    838. 

  838. Epoch 6/10
    839. 

  839. 
  1/224 [..............................] - ETA: 0s - loss: 0.0357
 43/224 [====>.........................] - ETA: 0s - loss: 0.0057
 83/224 [==========>...................] - ETA: 0s - loss: 0.0041
120/224 [===============>..............] - ETA: 0s - loss: 0.0045
155/224 [===================>..........] - ETA: 0s - loss: 0.0039
193/224 [========================>.....] - ETA: 0s - loss: 0.0039
224/224 [==============================] - 0s 1ms/step - loss: 0.0038
    840. 

  840. Epoch 7/10
    841. 

  841. 
  1/224 [..............................] - ETA: 0s - loss: 6.7528e-05
 44/224 [====>.........................] - ETA: 0s - loss: 6.4318e-04
 80/224 [=========>....................] - ETA: 0s - loss: 0.0025    
121/224 [===============>..............] - ETA: 0s - loss: 0.0036
162/224 [====================>.........] - ETA: 0s - loss: 0.0044
203/224 [==========================>...] - ETA: 0s - loss: 0.0040
224/224 [==============================] - 0s 1ms/step - loss: 0.0037
    842. 

  842. Epoch 8/10
    843. 

  843. 
  1/224 [..............................] - ETA: 0s - loss: 4.3359e-04
 44/224 [====>.........................] - ETA: 0s - loss: 0.0015    
 87/224 [==========>...................] - ETA: 0s - loss: 0.0012
129/224 [================>.............] - ETA: 0s - loss: 0.0011
170/224 [=====================>........] - ETA: 0s - loss: 0.0027
212/224 [===========================>..] - ETA: 0s - loss: 0.0035
224/224 [==============================] - 0s 1ms/step - loss: 0.0033
    844. 

  844. Epoch 9/10
    845. 

  845. 
  1/224 [..............................] - ETA: 0s - loss: 7.3894e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0059    
 84/224 [==========>...................] - ETA: 0s - loss: 0.0039
126/224 [===============>..............] - ETA: 0s - loss: 0.0036
167/224 [=====================>........] - ETA: 0s - loss: 0.0040
208/224 [==========================>...] - ETA: 0s - loss: 0.0035
224/224 [==============================] - 0s 1ms/step - loss: 0.0033
    846. 

  846. Epoch 10/10
    847. 

  847. 
  1/224 [..............................] - ETA: 0s - loss: 5.2649e-04
 44/224 [====>.........................] - ETA: 0s - loss: 0.0068    
 85/224 [==========>...................] - ETA: 0s - loss: 0.0058
125/224 [===============>..............] - ETA: 0s - loss: 0.0041
168/224 [=====================>........] - ETA: 0s - loss: 0.0042
205/224 [==========================>...] - ETA: 0s - loss: 0.0036
224/224 [==============================] - 0s 1ms/step - loss: 0.0034
    848. 

  848. -> test with GAN.predict
    849. 

  849. GAN tn, fp: 550, 6
    850. 

  850. GAN fn, tp: 0, 21
    851. 

  851. GAN f1 score: 0.875
    852. 

  852. GAN cohens kappa score: 0.870
    853. 

  853. 

  854. -> test with 'LR'
    855. 

  855. LR tn, fp: 533, 23
    856. 

  856. LR fn, tp: 0, 21
    857. 

  857. LR f1 score: 0.646
    858. 

  858. LR cohens kappa score: 0.628
    859. 

  859. LR average precision score: 0.906
    860. 

  860. 

  861. -> test with 'RF'
    862. 

  862. RF tn, fp: 555, 1
    863. 

  863. RF fn, tp: 0, 21
    864. 

  864. RF f1 score: 0.977
    865. 

  865. RF cohens kappa score: 0.976
    866. 

  866. 

  867. -> test with 'GB'
    868. 

  868. GB tn, fp: 555, 1
    869. 

  869. GB fn, tp: 0, 21
    870. 

  870. GB f1 score: 0.977
    871. 

  871. GB cohens kappa score: 0.976
    872. 

  872. 

  873. -> test with 'KNN'
    874. 

  874. KNN tn, fp: 547, 9
    875. 

  875. KNN fn, tp: 0, 21
    876. 

  876. KNN f1 score: 0.824
    877. 

  877. KNN cohens kappa score: 0.816
    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 2152 synthetic samples
    888. 

  888. -> retrain GAN for predict
    889. 

  889. Epoch 1/10
    890. 

  890. 
  1/224 [..............................] - ETA: 43s - loss: 1.9654e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0075     
 83/224 [==========>...................] - ETA: 0s - loss: 0.0051
123/224 [===============>..............] - ETA: 0s - loss: 0.0044
162/224 [====================>.........] - ETA: 0s - loss: 0.0045
203/224 [==========================>...] - ETA: 0s - loss: 0.0037
224/224 [==============================] - 0s 1ms/step - loss: 0.0035
    891. 

  891. Epoch 2/10
    892. 

  892. 
  1/224 [..............................] - ETA: 0s - loss: 0.0050
 42/224 [====>.........................] - ETA: 0s - loss: 0.0032
 83/224 [==========>...................] - ETA: 0s - loss: 0.0024
121/224 [===============>..............] - ETA: 0s - loss: 0.0020
161/224 [====================>.........] - ETA: 0s - loss: 0.0018
202/224 [==========================>...] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
    893. 

  893. Epoch 3/10
    894. 

  894. 
  1/224 [..............................] - ETA: 0s - loss: 2.1782e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0033    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0024
123/224 [===============>..............] - ETA: 0s - loss: 0.0023
161/224 [====================>.........] - ETA: 0s - loss: 0.0026
198/224 [=========================>....] - ETA: 0s - loss: 0.0023
224/224 [==============================] - 0s 1ms/step - loss: 0.0020
    895. 

  895. Epoch 4/10
    896. 

  896. 
  1/224 [..............................] - ETA: 0s - loss: 2.5391e-05
 36/224 [===>..........................] - ETA: 0s - loss: 3.9607e-04
 72/224 [========>.....................] - ETA: 0s - loss: 0.0012    
111/224 [=============>................] - ETA: 0s - loss: 9.6158e-04
150/224 [===================>..........] - ETA: 0s - loss: 0.0017    
190/224 [========================>.....] - ETA: 0s - loss: 0.0019
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
    897. 

  897. Epoch 5/10
    898. 

  898. 
  1/224 [..............................] - ETA: 0s - loss: 1.8143e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0021    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0016
120/224 [===============>..............] - ETA: 0s - loss: 0.0019
160/224 [====================>.........] - ETA: 0s - loss: 0.0017
201/224 [=========================>....] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    899. 

  899. Epoch 6/10
    900. 

  900. 
  1/224 [..............................] - ETA: 0s - loss: 1.5590e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0027    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0017
123/224 [===============>..............] - ETA: 0s - loss: 0.0017
163/224 [====================>.........] - ETA: 0s - loss: 0.0017
204/224 [==========================>...] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    901. 

  901. Epoch 7/10
    902. 

  902. 
  1/224 [..............................] - ETA: 0s - loss: 8.0731e-04
 39/224 [====>.........................] - ETA: 0s - loss: 5.1186e-04
 75/224 [=========>....................] - ETA: 0s - loss: 3.8916e-04
112/224 [==============>...............] - ETA: 0s - loss: 0.0016    
152/224 [===================>..........] - ETA: 0s - loss: 0.0013
191/224 [========================>.....] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    903. 

  903. Epoch 8/10
    904. 

  904. 
  1/224 [..............................] - ETA: 0s - loss: 0.0015
 40/224 [====>.........................] - ETA: 0s - loss: 7.2814e-04
 81/224 [=========>....................] - ETA: 0s - loss: 6.2846e-04
121/224 [===============>..............] - ETA: 0s - loss: 7.1219e-04
162/224 [====================>.........] - ETA: 0s - loss: 6.2200e-04
202/224 [==========================>...] - ETA: 0s - loss: 8.6482e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    905. 

  905. Epoch 9/10
    906. 

  906. 
  1/224 [..............................] - ETA: 0s - loss: 0.0046
 40/224 [====>.........................] - ETA: 0s - loss: 5.1265e-04
 80/224 [=========>....................] - ETA: 0s - loss: 5.9931e-04
119/224 [==============>...............] - ETA: 0s - loss: 0.0010    
160/224 [====================>.........] - ETA: 0s - loss: 9.5807e-04
200/224 [=========================>....] - ETA: 0s - loss: 9.2262e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.9183e-04
    907. 

  907. Epoch 10/10
    908. 

  908. 
  1/224 [..............................] - ETA: 0s - loss: 4.6670e-04
 42/224 [====>.........................] - ETA: 0s - loss: 3.3852e-04
 81/224 [=========>....................] - ETA: 0s - loss: 6.3704e-04
120/224 [===============>..............] - ETA: 0s - loss: 5.2011e-04
161/224 [====================>.........] - ETA: 0s - loss: 4.9605e-04
202/224 [==========================>...] - ETA: 0s - loss: 8.2501e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.9942e-04
    909. 

  909. -> test with GAN.predict
    910. 

  910. GAN tn, fp: 560, 0
    911. 

  911. GAN fn, tp: 0, 21
    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: 550, 10
    917. 

  917. LR fn, tp: 1, 20
    918. 

  918. LR f1 score: 0.784
    919. 

  919. LR cohens kappa score: 0.775
    920. 

  920. LR average precision score: 0.935
    921. 

  921. 

  922. -> test with 'RF'
    923. 

  923. RF tn, fp: 558, 2
    924. 

  924. RF fn, tp: 0, 21
    925. 

  925. RF f1 score: 0.955
    926. 

  926. RF cohens kappa score: 0.953
    927. 

  927. 

  928. -> test with 'GB'
    929. 

  929. GB tn, fp: 558, 2
    930. 

  930. GB fn, tp: 0, 21
    931. 

  931. GB f1 score: 0.955
    932. 

  932. GB cohens kappa score: 0.953
    933. 

  933. 

  934. -> test with 'KNN'
    935. 

  935. KNN tn, fp: 553, 7
    936. 

  936. KNN fn, tp: 0, 21
    937. 

  937. KNN f1 score: 0.857
    938. 

  938. KNN cohens kappa score: 0.851
    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 2152 synthetic samples
    945. 

  945. -> retrain GAN for predict
    946. 

  946. Epoch 1/10
    947. 

  947. 
  1/224 [..............................] - ETA: 45s - loss: 3.0584e-04
 34/224 [===>..........................] - ETA: 0s - loss: 0.0014     
 69/224 [========>.....................] - ETA: 0s - loss: 0.0019
107/224 [=============>................] - ETA: 0s - loss: 0.0029
147/224 [==================>...........] - ETA: 0s - loss: 0.0031
186/224 [=======================>......] - ETA: 0s - loss: 0.0027
224/224 [==============================] - 1s 1ms/step - loss: 0.0023
    948. 

  948. Epoch 2/10
    949. 

  949. 
  1/224 [..............................] - ETA: 0s - loss: 0.0023
 40/224 [====>.........................] - ETA: 0s - loss: 8.6431e-04
 80/224 [=========>....................] - ETA: 0s - loss: 0.0021    
118/224 [==============>...............] - ETA: 0s - loss: 0.0021
158/224 [====================>.........] - ETA: 0s - loss: 0.0017
198/224 [=========================>....] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
    950. 

  950. Epoch 3/10
    951. 

  951. 
  1/224 [..............................] - ETA: 0s - loss: 1.1864e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0022    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0017
117/224 [==============>...............] - ETA: 0s - loss: 0.0014
150/224 [===================>..........] - ETA: 0s - loss: 0.0015
184/224 [=======================>......] - ETA: 0s - loss: 0.0014
218/224 [============================>.] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0015
    952. 

  952. Epoch 4/10
    953. 

  953. 
  1/224 [..............................] - ETA: 0s - loss: 0.0011
 41/224 [====>.........................] - ETA: 0s - loss: 0.0014
 82/224 [=========>....................] - ETA: 0s - loss: 9.7095e-04
117/224 [==============>...............] - ETA: 0s - loss: 8.3428e-04
153/224 [===================>..........] - ETA: 0s - loss: 0.0012    
189/224 [========================>.....] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    954. 

  954. Epoch 5/10
    955. 

  955. 
  1/224 [..............................] - ETA: 0s - loss: 8.1264e-06
 40/224 [====>.........................] - ETA: 0s - loss: 6.9278e-04
 81/224 [=========>....................] - ETA: 0s - loss: 8.7818e-04
119/224 [==============>...............] - ETA: 0s - loss: 8.0218e-04
157/224 [====================>.........] - ETA: 0s - loss: 0.0012    
197/224 [=========================>....] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
    956. 

  956. Epoch 6/10
    957. 

  957. 
  1/224 [..............................] - ETA: 0s - loss: 7.4500e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0019    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0014
121/224 [===============>..............] - ETA: 0s - loss: 0.0010
159/224 [====================>.........] - ETA: 0s - loss: 9.3673e-04
197/224 [=========================>....] - ETA: 0s - loss: 9.7892e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0010
    958. 

  958. Epoch 7/10
    959. 

  959. 
  1/224 [..............................] - ETA: 0s - loss: 1.5063e-06
 41/224 [====>.........................] - ETA: 0s - loss: 2.6471e-04
 81/224 [=========>....................] - ETA: 0s - loss: 5.8733e-04
122/224 [===============>..............] - ETA: 0s - loss: 5.4675e-04
162/224 [====================>.........] - ETA: 0s - loss: 7.7136e-04
202/224 [==========================>...] - ETA: 0s - loss: 9.0455e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.9835e-04
    960. 

  960. Epoch 8/10
    961. 

  961. 
  1/224 [..............................] - ETA: 0s - loss: 6.6957e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0013    
 73/224 [========>.....................] - ETA: 0s - loss: 0.0010
108/224 [=============>................] - ETA: 0s - loss: 8.2407e-04
144/224 [==================>...........] - ETA: 0s - loss: 9.1184e-04
184/224 [=======================>......] - ETA: 0s - loss: 8.5170e-04
223/224 [============================>.] - ETA: 0s - loss: 8.1748e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.1529e-04
    962. 

  962. Epoch 9/10
    963. 

  963. 
  1/224 [..............................] - ETA: 0s - loss: 3.0277e-04
 41/224 [====>.........................] - ETA: 0s - loss: 7.1841e-04
 80/224 [=========>....................] - ETA: 0s - loss: 7.9552e-04
121/224 [===============>..............] - ETA: 0s - loss: 6.8414e-04
161/224 [====================>.........] - ETA: 0s - loss: 7.1081e-04
200/224 [=========================>....] - ETA: 0s - loss: 7.0162e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.6919e-04
    964. 

  964. Epoch 10/10
    965. 

  965. 
  1/224 [..............................] - ETA: 0s - loss: 9.7979e-07
 41/224 [====>.........................] - ETA: 0s - loss: 9.2333e-04
 81/224 [=========>....................] - ETA: 0s - loss: 6.2853e-04
120/224 [===============>..............] - ETA: 0s - loss: 6.3207e-04
161/224 [====================>.........] - ETA: 0s - loss: 7.0781e-04
200/224 [=========================>....] - ETA: 0s - loss: 6.5695e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.8874e-04
    966. 

  966. -> test with GAN.predict
    967. 

  967. GAN tn, fp: 559, 1
    968. 

  968. GAN fn, tp: 0, 21
    969. 

  969. GAN f1 score: 0.977
    970. 

  970. GAN cohens kappa score: 0.976
    971. 

  971. 

  972. -> test with 'LR'
    973. 

  973. LR tn, fp: 538, 22
    974. 

  974. LR fn, tp: 0, 21
    975. 

  975. LR f1 score: 0.656
    976. 

  976. LR cohens kappa score: 0.639
    977. 

  977. LR average precision score: 0.958
    978. 

  978. 

  979. -> test with 'RF'
    980. 

  980. RF tn, fp: 560, 0
    981. 

  981. RF fn, tp: 1, 20
    982. 

  982. RF f1 score: 0.976
    983. 

  983. RF cohens kappa score: 0.975
    984. 

  984. 

  985. -> test with 'GB'
    986. 

  986. GB tn, fp: 560, 0
    987. 

  987. GB fn, tp: 1, 20
    988. 

  988. GB f1 score: 0.976
    989. 

  989. GB cohens kappa score: 0.975
    990. 

  990. 

  991. -> test with 'KNN'
    992. 

  992. KNN tn, fp: 554, 6
    993. 

  993. KNN fn, tp: 0, 21
    994. 

  994. KNN f1 score: 0.875
    995. 

  995. KNN cohens kappa score: 0.870
    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 2152 synthetic samples
    1002. 

  1002. -> retrain GAN for predict
    1003. 

  1003. Epoch 1/10
    1004. 

  1004. 
  1/224 [..............................] - ETA: 50s - loss: 3.9887e-05
 34/224 [===>..........................] - ETA: 0s - loss: 0.0018     
 72/224 [========>.....................] - ETA: 0s - loss: 0.0022
108/224 [=============>................] - ETA: 0s - loss: 0.0018
144/224 [==================>...........] - ETA: 0s - loss: 0.0018
180/224 [=======================>......] - ETA: 0s - loss: 0.0019
215/224 [===========================>..] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 1s 1ms/step - loss: 0.0018
    1005. 

  1005. Epoch 2/10
    1006. 

  1006. 
  1/224 [..............................] - ETA: 0s - loss: 9.6975e-05
 33/224 [===>..........................] - ETA: 0s - loss: 0.0012    
 69/224 [========>.....................] - ETA: 0s - loss: 9.8182e-04
103/224 [============>.................] - ETA: 0s - loss: 8.6992e-04
138/224 [=================>............] - ETA: 0s - loss: 0.0015    
174/224 [======================>.......] - ETA: 0s - loss: 0.0013
204/224 [==========================>...] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    1007. 

  1007. Epoch 3/10
    1008. 

  1008. 
  1/224 [..............................] - ETA: 0s - loss: 2.8763e-04
 36/224 [===>..........................] - ETA: 0s - loss: 9.7488e-04
 70/224 [========>.....................] - ETA: 0s - loss: 8.8657e-04
105/224 [=============>................] - ETA: 0s - loss: 9.4929e-04
140/224 [=================>............] - ETA: 0s - loss: 0.0012    
177/224 [======================>.......] - ETA: 0s - loss: 0.0011
216/224 [===========================>..] - ETA: 0s - loss: 9.9943e-04
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
    1009. 

  1009. Epoch 4/10
    1010. 

  1010. 
  1/224 [..............................] - ETA: 0s - loss: 1.1347e-04
 37/224 [===>..........................] - ETA: 0s - loss: 0.0021    
 72/224 [========>.....................] - ETA: 0s - loss: 0.0013
109/224 [=============>................] - ETA: 0s - loss: 9.7658e-04
145/224 [==================>...........] - ETA: 0s - loss: 9.7766e-04
182/224 [=======================>......] - ETA: 0s - loss: 0.0012    
218/224 [============================>.] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    1011. 

  1011. Epoch 5/10
    1012. 

  1012. 
  1/224 [..............................] - ETA: 0s - loss: 7.2233e-05
 34/224 [===>..........................] - ETA: 0s - loss: 9.5133e-04
 63/224 [=======>......................] - ETA: 0s - loss: 8.2442e-04
 95/224 [===========>..................] - ETA: 0s - loss: 7.3744e-04
134/224 [================>.............] - ETA: 0s - loss: 8.0317e-04
169/224 [=====================>........] - ETA: 0s - loss: 8.7126e-04
204/224 [==========================>...] - ETA: 0s - loss: 0.0010    
224/224 [==============================] - 0s 1ms/step - loss: 9.5091e-04
    1013. 

  1013. Epoch 6/10
    1014. 

  1014. 
  1/224 [..............................] - ETA: 0s - loss: 2.1177e-05
 29/224 [==>...........................] - ETA: 0s - loss: 0.0017    
 59/224 [======>.......................] - ETA: 0s - loss: 0.0016
 89/224 [==========>...................] - ETA: 0s - loss: 0.0012
122/224 [===============>..............] - ETA: 0s - loss: 0.0011
159/224 [====================>.........] - ETA: 0s - loss: 9.4634e-04
195/224 [=========================>....] - ETA: 0s - loss: 8.0509e-04
224/224 [==============================] - 0s 2ms/step - loss: 7.9031e-04
    1015. 

  1015. Epoch 7/10
    1016. 

  1016. 
  1/224 [..............................] - ETA: 0s - loss: 5.1550e-06
 34/224 [===>..........................] - ETA: 0s - loss: 9.0142e-04
 66/224 [=======>......................] - ETA: 0s - loss: 9.9699e-04
101/224 [============>.................] - ETA: 0s - loss: 9.1488e-04
135/224 [=================>............] - ETA: 0s - loss: 8.7602e-04
164/224 [====================>.........] - ETA: 0s - loss: 7.9773e-04
197/224 [=========================>....] - ETA: 0s - loss: 7.6238e-04
224/224 [==============================] - 0s 2ms/step - loss: 6.8278e-04
    1017. 

  1017. Epoch 8/10
    1018. 

  1018. 
  1/224 [..............................] - ETA: 0s - loss: 4.2551e-06
 33/224 [===>..........................] - ETA: 0s - loss: 2.5789e-04
 65/224 [=======>......................] - ETA: 0s - loss: 2.2340e-04
 99/224 [============>.................] - ETA: 0s - loss: 4.4870e-04
136/224 [=================>............] - ETA: 0s - loss: 5.4061e-04
174/224 [======================>.......] - ETA: 0s - loss: 5.6544e-04
208/224 [==========================>...] - ETA: 0s - loss: 5.4848e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.8422e-04
    1019. 

  1019. Epoch 9/10
    1020. 

  1020. 
  1/224 [..............................] - ETA: 0s - loss: 7.3882e-05
 38/224 [====>.........................] - ETA: 0s - loss: 4.5196e-04
 74/224 [========>.....................] - ETA: 0s - loss: 5.0252e-04
111/224 [=============>................] - ETA: 0s - loss: 7.5887e-04
146/224 [==================>...........] - ETA: 0s - loss: 7.3331e-04
181/224 [=======================>......] - ETA: 0s - loss: 6.7132e-04
216/224 [===========================>..] - ETA: 0s - loss: 5.7987e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.7542e-04
    1021. 

  1021. Epoch 10/10
    1022. 

  1022. 
  1/224 [..............................] - ETA: 0s - loss: 6.5849e-04
 36/224 [===>..........................] - ETA: 0s - loss: 4.6767e-04
 72/224 [========>.....................] - ETA: 0s - loss: 3.3811e-04
107/224 [=============>................] - ETA: 0s - loss: 3.6807e-04
142/224 [==================>...........] - ETA: 0s - loss: 3.9965e-04
177/224 [======================>.......] - ETA: 0s - loss: 4.0216e-04
213/224 [===========================>..] - ETA: 0s - loss: 4.5951e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.8604e-04
    1023. 

  1023. -> test with GAN.predict
    1024. 

  1024. GAN tn, fp: 560, 0
    1025. 

  1025. GAN fn, tp: 3, 18
    1026. 

  1026. GAN f1 score: 0.923
    1027. 

  1027. GAN cohens kappa score: 0.920
    1028. 

  1028. 

  1029. -> test with 'LR'
    1030. 

  1030. LR tn, fp: 546, 14
    1031. 

  1031. LR fn, tp: 5, 16
    1032. 

  1032. LR f1 score: 0.627
    1033. 

  1033. LR cohens kappa score: 0.611
    1034. 

  1034. LR average precision score: 0.813
    1035. 

  1035. 

  1036. -> test with 'RF'
    1037. 

  1037. RF tn, fp: 560, 0
    1038. 

  1038. RF fn, tp: 6, 15
    1039. 

  1039. RF f1 score: 0.833
    1040. 

  1040. RF cohens kappa score: 0.828
    1041. 

  1041. 

  1042. -> test with 'GB'
    1043. 

  1043. GB tn, fp: 560, 0
    1044. 

  1044. GB fn, tp: 4, 17
    1045. 

  1045. GB f1 score: 0.895
    1046. 

  1046. GB cohens kappa score: 0.891
    1047. 

  1047. 

  1048. -> test with 'KNN'
    1049. 

  1049. KNN tn, fp: 553, 7
    1050. 

  1050. KNN fn, tp: 1, 20
    1051. 

  1051. KNN f1 score: 0.833
    1052. 

  1052. KNN cohens kappa score: 0.826
    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 2152 synthetic samples
    1059. 

  1059. -> retrain GAN for predict
    1060. 

  1060. Epoch 1/10
    1061. 

  1061. 
  1/224 [..............................] - ETA: 38s - loss: 0.0127
 41/224 [====>.........................] - ETA: 0s - loss: 0.0022 
 81/224 [=========>....................] - ETA: 0s - loss: 0.0023
122/224 [===============>..............] - ETA: 0s - loss: 0.0018
161/224 [====================>.........] - ETA: 0s - loss: 0.0018
202/224 [==========================>...] - ETA: 0s - loss: 0.0021
224/224 [==============================] - 0s 1ms/step - loss: 0.0020
    1062. 

  1062. Epoch 2/10
    1063. 

  1063. 
  1/224 [..............................] - ETA: 0s - loss: 2.2542e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0018    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0012
123/224 [===============>..............] - ETA: 0s - loss: 0.0017
165/224 [=====================>........] - ETA: 0s - loss: 0.0021
205/224 [==========================>...] - ETA: 0s - loss: 0.0019
224/224 [==============================] - 0s 1ms/step - loss: 0.0018
    1064. 

  1064. Epoch 3/10
    1065. 

  1065. 
  1/224 [..............................] - ETA: 0s - loss: 1.4888e-04
 41/224 [====>.........................] - ETA: 0s - loss: 6.9693e-04
 82/224 [=========>....................] - ETA: 0s - loss: 0.0013    
122/224 [===============>..............] - ETA: 0s - loss: 0.0013
162/224 [====================>.........] - ETA: 0s - loss: 0.0013
199/224 [=========================>....] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
    1066. 

  1066. Epoch 4/10
    1067. 

  1067. 
  1/224 [..............................] - ETA: 0s - loss: 1.0102e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0016    
 79/224 [=========>....................] - ETA: 0s - loss: 0.0012
119/224 [==============>...............] - ETA: 0s - loss: 0.0015
160/224 [====================>.........] - ETA: 0s - loss: 0.0014
199/224 [=========================>....] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    1068. 

  1068. Epoch 5/10
    1069. 

  1069. 
  1/224 [..............................] - ETA: 0s - loss: 1.5335e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0019    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0016
120/224 [===============>..............] - ETA: 0s - loss: 0.0014
160/224 [====================>.........] - ETA: 0s - loss: 0.0017
196/224 [=========================>....] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    1070. 

  1070. Epoch 6/10
    1071. 

  1071. 
  1/224 [..............................] - ETA: 0s - loss: 2.4735e-05
 35/224 [===>..........................] - ETA: 0s - loss: 0.0013    
 74/224 [========>.....................] - ETA: 0s - loss: 0.0010
112/224 [==============>...............] - ETA: 0s - loss: 0.0011
151/224 [===================>..........] - ETA: 0s - loss: 0.0010
191/224 [========================>.....] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
    1072. 

  1072. Epoch 7/10
    1073. 

  1073. 
  1/224 [..............................] - ETA: 0s - loss: 2.7671e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0012    
 75/224 [=========>....................] - ETA: 0s - loss: 0.0012
112/224 [==============>...............] - ETA: 0s - loss: 9.5216e-04
153/224 [===================>..........] - ETA: 0s - loss: 7.7015e-04
194/224 [========================>.....] - ETA: 0s - loss: 8.1235e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.3393e-04
    1074. 

  1074. Epoch 8/10
    1075. 

  1075. 
  1/224 [..............................] - ETA: 0s - loss: 1.8966e-04
 41/224 [====>.........................] - ETA: 0s - loss: 5.2410e-04
 82/224 [=========>....................] - ETA: 0s - loss: 5.2039e-04
122/224 [===============>..............] - ETA: 0s - loss: 9.2667e-04
161/224 [====================>.........] - ETA: 0s - loss: 8.5834e-04
201/224 [=========================>....] - ETA: 0s - loss: 7.8138e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.7974e-04
    1076. 

  1076. Epoch 9/10
    1077. 

  1077. 
  1/224 [..............................] - ETA: 0s - loss: 1.7043e-05
 42/224 [====>.........................] - ETA: 0s - loss: 5.8420e-04
 83/224 [==========>...................] - ETA: 0s - loss: 5.4609e-04
124/224 [===============>..............] - ETA: 0s - loss: 6.7235e-04
165/224 [=====================>........] - ETA: 0s - loss: 6.1784e-04
207/224 [==========================>...] - ETA: 0s - loss: 6.7520e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.0512e-04
    1078. 

  1078. Epoch 10/10
    1079. 

  1079. 
  1/224 [..............................] - ETA: 0s - loss: 1.7278e-04
 42/224 [====>.........................] - ETA: 0s - loss: 5.3105e-04
 80/224 [=========>....................] - ETA: 0s - loss: 7.1914e-04
119/224 [==============>...............] - ETA: 0s - loss: 7.0439e-04
158/224 [====================>.........] - ETA: 0s - loss: 7.4246e-04
197/224 [=========================>....] - ETA: 0s - loss: 7.5817e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.5992e-04
    1080. 

  1080. -> test with GAN.predict
    1081. 

  1081. GAN tn, fp: 560, 0
    1082. 

  1082. GAN fn, tp: 1, 20
    1083. 

  1083. GAN f1 score: 0.976
    1084. 

  1084. GAN cohens kappa score: 0.975
    1085. 

  1085. 

  1086. -> test with 'LR'
    1087. 

  1087. LR tn, fp: 540, 20
    1088. 

  1088. LR fn, tp: 0, 21
    1089. 

  1089. LR f1 score: 0.677
    1090. 

  1090. LR cohens kappa score: 0.661
    1091. 

  1091. LR average precision score: 0.913
    1092. 

  1092. 

  1093. -> test with 'RF'
    1094. 

  1094. RF tn, fp: 559, 1
    1095. 

  1095. RF fn, tp: 1, 20
    1096. 

  1096. RF f1 score: 0.952
    1097. 

  1097. RF cohens kappa score: 0.951
    1098. 

  1098. 

  1099. -> test with 'GB'
    1100. 

  1100. GB tn, fp: 559, 1
    1101. 

  1101. GB fn, tp: 1, 20
    1102. 

  1102. GB f1 score: 0.952
    1103. 

  1103. GB cohens kappa score: 0.951
    1104. 

  1104. 

  1105. -> test with 'KNN'
    1106. 

  1106. KNN tn, fp: 554, 6
    1107. 

  1107. KNN fn, tp: 1, 20
    1108. 

  1108. KNN f1 score: 0.851
    1109. 

  1109. KNN cohens kappa score: 0.845
    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 2156 synthetic samples
    1116. 

  1116. -> retrain GAN for predict
    1117. 

  1117. Epoch 1/10
    1118. 

  1118. 
  1/224 [..............................] - ETA: 36s - loss: 1.0723e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0021     
 86/224 [==========>...................] - ETA: 0s - loss: 0.0021
130/224 [================>.............] - ETA: 0s - loss: 0.0019
173/224 [======================>.......] - ETA: 0s - loss: 0.0016
215/224 [===========================>..] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 1ms/step - loss: 0.0017
    1119. 

  1119. Epoch 2/10
    1120. 

  1120. 
  1/224 [..............................] - ETA: 0s - loss: 0.0026
 45/224 [=====>........................] - ETA: 0s - loss: 0.0012
 88/224 [==========>...................] - ETA: 0s - loss: 0.0011
132/224 [================>.............] - ETA: 0s - loss: 0.0011
177/224 [======================>.......] - ETA: 0s - loss: 0.0014
220/224 [============================>.] - ETA: 0s - loss: 0.0014
224/224 [==============================] - 0s 1ms/step - loss: 0.0014
    1121. 

  1121. Epoch 3/10
    1122. 

  1122. 
  1/224 [..............................] - ETA: 0s - loss: 1.1610e-04
 45/224 [=====>........................] - ETA: 0s - loss: 9.5272e-04
 88/224 [==========>...................] - ETA: 0s - loss: 0.0017    
131/224 [================>.............] - ETA: 0s - loss: 0.0015
176/224 [======================>.......] - ETA: 0s - loss: 0.0014
220/224 [============================>.] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    1123. 

  1123. Epoch 4/10
    1124. 

  1124. 
  1/224 [..............................] - ETA: 0s - loss: 1.3858e-04
 45/224 [=====>........................] - ETA: 0s - loss: 3.6742e-04
 88/224 [==========>...................] - ETA: 0s - loss: 5.4274e-04
132/224 [================>.............] - ETA: 0s - loss: 7.1327e-04
175/224 [======================>.......] - ETA: 0s - loss: 6.6174e-04
219/224 [============================>.] - ETA: 0s - loss: 0.0011    
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    1125. 

  1125. Epoch 5/10
    1126. 

  1126. 
  1/224 [..............................] - ETA: 0s - loss: 5.0020e-04
 46/224 [=====>........................] - ETA: 0s - loss: 6.0816e-04
 89/224 [==========>...................] - ETA: 0s - loss: 5.2879e-04
133/224 [================>.............] - ETA: 0s - loss: 4.7501e-04
177/224 [======================>.......] - ETA: 0s - loss: 9.3626e-04
219/224 [============================>.] - ETA: 0s - loss: 0.0011    
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    1127. 

  1127. Epoch 6/10
    1128. 

  1128. 
  1/224 [..............................] - ETA: 0s - loss: 7.0247e-06
 45/224 [=====>........................] - ETA: 0s - loss: 3.6358e-04
 84/224 [==========>...................] - ETA: 0s - loss: 8.5418e-04
123/224 [===============>..............] - ETA: 0s - loss: 8.0533e-04
159/224 [====================>.........] - ETA: 0s - loss: 0.0011    
200/224 [=========================>....] - ETA: 0s - loss: 9.9206e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.8106e-04
    1129. 

  1129. Epoch 7/10
    1130. 

  1130. 
  1/224 [..............................] - ETA: 0s - loss: 4.7965e-04
 44/224 [====>.........................] - ETA: 0s - loss: 7.5618e-04
 84/224 [==========>...................] - ETA: 0s - loss: 5.8907e-04
121/224 [===============>..............] - ETA: 0s - loss: 4.9585e-04
162/224 [====================>.........] - ETA: 0s - loss: 4.8464e-04
205/224 [==========================>...] - ETA: 0s - loss: 7.0547e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.0077e-04
    1131. 

  1131. Epoch 8/10
    1132. 

  1132. 
  1/224 [..............................] - ETA: 0s - loss: 2.3656e-05
 46/224 [=====>........................] - ETA: 0s - loss: 4.5695e-04
 89/224 [==========>...................] - ETA: 0s - loss: 4.5732e-04
132/224 [================>.............] - ETA: 0s - loss: 4.7410e-04
177/224 [======================>.......] - ETA: 0s - loss: 4.9848e-04
220/224 [============================>.] - ETA: 0s - loss: 7.1252e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.0678e-04
    1133. 

  1133. Epoch 9/10
    1134. 

  1134. 
  1/224 [..............................] - ETA: 0s - loss: 1.7682e-04
 44/224 [====>.........................] - ETA: 0s - loss: 8.4710e-04
 88/224 [==========>...................] - ETA: 0s - loss: 0.0012    
132/224 [================>.............] - ETA: 0s - loss: 0.0010
177/224 [======================>.......] - ETA: 0s - loss: 8.1253e-04
220/224 [============================>.] - ETA: 0s - loss: 8.8659e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.8291e-04
    1135. 

  1135. Epoch 10/10
    1136. 

  1136. 
  1/224 [..............................] - ETA: 0s - loss: 4.7720e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0011    
 86/224 [==========>...................] - ETA: 0s - loss: 7.7561e-04
129/224 [================>.............] - ETA: 0s - loss: 6.2867e-04
171/224 [=====================>........] - ETA: 0s - loss: 6.5772e-04
215/224 [===========================>..] - ETA: 0s - loss: 6.5551e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.4413e-04
    1137. 

  1137. -> test with GAN.predict
    1138. 

  1138. GAN tn, fp: 555, 1
    1139. 

  1139. GAN fn, tp: 2, 19
    1140. 

  1140. GAN f1 score: 0.927
    1141. 

  1141. GAN cohens kappa score: 0.924
    1142. 

  1142. 

  1143. -> test with 'LR'
    1144. 

  1144. LR tn, fp: 547, 9
    1145. 

  1145. LR fn, tp: 1, 20
    1146. 

  1146. LR f1 score: 0.800
    1147. 

  1147. LR cohens kappa score: 0.791
    1148. 

  1148. LR average precision score: 0.926
    1149. 

  1149. 

  1150. -> test with 'RF'
    1151. 

  1151. RF tn, fp: 556, 0
    1152. 

  1152. RF fn, tp: 3, 18
    1153. 

  1153. RF f1 score: 0.923
    1154. 

  1154. RF cohens kappa score: 0.920
    1155. 

  1155. 

  1156. -> test with 'GB'
    1157. 

  1157. GB tn, fp: 556, 0
    1158. 

  1158. GB fn, tp: 2, 19
    1159. 

  1159. GB f1 score: 0.950
    1160. 

  1160. GB cohens kappa score: 0.948
    1161. 

  1161. 

  1162. -> test with 'KNN'
    1163. 

  1163. KNN tn, fp: 551, 5
    1164. 

  1164. KNN fn, tp: 0, 21
    1165. 

  1165. KNN f1 score: 0.894
    1166. 

  1166. KNN cohens kappa score: 0.889
    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 2152 synthetic samples
    1177. 

  1177. -> retrain GAN for predict
    1178. 

  1178. Epoch 1/10
    1179. 

  1179. 
  1/224 [..............................] - ETA: 48s - loss: 0.0419
 37/224 [===>..........................] - ETA: 0s - loss: 0.0210 
 78/224 [=========>....................] - ETA: 0s - loss: 0.0110
120/224 [===============>..............] - ETA: 0s - loss: 0.0099
157/224 [====================>.........] - ETA: 0s - loss: 0.0098
198/224 [=========================>....] - ETA: 0s - loss: 0.0084
224/224 [==============================] - 1s 1ms/step - loss: 0.0089
    1180. 

  1180. Epoch 2/10
    1181. 

  1181. 
  1/224 [..............................] - ETA: 0s - loss: 3.3118e-04
 38/224 [====>.........................] - ETA: 0s - loss: 0.0032    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0058
114/224 [==============>...............] - ETA: 0s - loss: 0.0093
155/224 [===================>..........] - ETA: 0s - loss: 0.0094
193/224 [========================>.....] - ETA: 0s - loss: 0.0087
224/224 [==============================] - 0s 1ms/step - loss: 0.0083
    1182. 

  1182. Epoch 3/10
    1183. 

  1183. 
  1/224 [..............................] - ETA: 0s - loss: 1.3179e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0096    
 76/224 [=========>....................] - ETA: 0s - loss: 0.0104
118/224 [==============>...............] - ETA: 0s - loss: 0.0086
157/224 [====================>.........] - ETA: 0s - loss: 0.0074
193/224 [========================>.....] - ETA: 0s - loss: 0.0067
224/224 [==============================] - 0s 1ms/step - loss: 0.0070
    1184. 

  1184. Epoch 4/10
    1185. 

  1185. 
  1/224 [..............................] - ETA: 0s - loss: 0.0558
 42/224 [====>.........................] - ETA: 0s - loss: 0.0157
 78/224 [=========>....................] - ETA: 0s - loss: 0.0100
117/224 [==============>...............] - ETA: 0s - loss: 0.0101
153/224 [===================>..........] - ETA: 0s - loss: 0.0083
193/224 [========================>.....] - ETA: 0s - loss: 0.0076
224/224 [==============================] - 0s 1ms/step - loss: 0.0070
    1186. 

  1186. Epoch 5/10
    1187. 

  1187. 
  1/224 [..............................] - ETA: 0s - loss: 0.0016
 39/224 [====>.........................] - ETA: 0s - loss: 0.0103
 80/224 [=========>....................] - ETA: 0s - loss: 0.0112
119/224 [==============>...............] - ETA: 0s - loss: 0.0084
156/224 [===================>..........] - ETA: 0s - loss: 0.0072
195/224 [=========================>....] - ETA: 0s - loss: 0.0072
224/224 [==============================] - 0s 1ms/step - loss: 0.0065
    1188. 

  1188. Epoch 6/10
    1189. 

  1189. 
  1/224 [..............................] - ETA: 0s - loss: 4.6321e-04
 43/224 [====>.........................] - ETA: 0s - loss: 0.0064    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0044
117/224 [==============>...............] - ETA: 0s - loss: 0.0051
158/224 [====================>.........] - ETA: 0s - loss: 0.0049
195/224 [=========================>....] - ETA: 0s - loss: 0.0055
224/224 [==============================] - 0s 1ms/step - loss: 0.0057
    1190. 

  1190. Epoch 7/10
    1191. 

  1191. 
  1/224 [..............................] - ETA: 0s - loss: 0.0248
 42/224 [====>.........................] - ETA: 0s - loss: 0.0056
 77/224 [=========>....................] - ETA: 0s - loss: 0.0079
109/224 [=============>................] - ETA: 0s - loss: 0.0072
139/224 [=================>............] - ETA: 0s - loss: 0.0060
169/224 [=====================>........] - ETA: 0s - loss: 0.0060
206/224 [==========================>...] - ETA: 0s - loss: 0.0053
224/224 [==============================] - 0s 1ms/step - loss: 0.0057
    1192. 

  1192. Epoch 8/10
    1193. 

  1193. 
  1/224 [..............................] - ETA: 0s - loss: 1.3893e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0070    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0082
114/224 [==============>...............] - ETA: 0s - loss: 0.0070
156/224 [===================>..........] - ETA: 0s - loss: 0.0062
196/224 [=========================>....] - ETA: 0s - loss: 0.0060
224/224 [==============================] - 0s 1ms/step - loss: 0.0058
    1194. 

  1194. Epoch 9/10
    1195. 

  1195. 
  1/224 [..............................] - ETA: 0s - loss: 0.0022
 43/224 [====>.........................] - ETA: 0s - loss: 0.0052
 84/224 [==========>...................] - ETA: 0s - loss: 0.0032
121/224 [===============>..............] - ETA: 0s - loss: 0.0056
162/224 [====================>.........] - ETA: 0s - loss: 0.0050
198/224 [=========================>....] - ETA: 0s - loss: 0.0056
224/224 [==============================] - 0s 1ms/step - loss: 0.0052
    1196. 

  1196. Epoch 10/10
    1197. 

  1197. 
  1/224 [..............................] - ETA: 0s - loss: 6.1514e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0025    
 77/224 [=========>....................] - ETA: 0s - loss: 0.0019
117/224 [==============>...............] - ETA: 0s - loss: 0.0049
157/224 [====================>.........] - ETA: 0s - loss: 0.0046
198/224 [=========================>....] - ETA: 0s - loss: 0.0044
224/224 [==============================] - 0s 1ms/step - loss: 0.0049
    1198. 

  1198. -> test with GAN.predict
    1199. 

  1199. GAN tn, fp: 559, 1
    1200. 

  1200. GAN fn, tp: 2, 19
    1201. 

  1201. GAN f1 score: 0.927
    1202. 

  1202. GAN cohens kappa score: 0.924
    1203. 

  1203. 

  1204. -> test with 'LR'
    1205. 

  1205. LR tn, fp: 544, 16
    1206. 

  1206. LR fn, tp: 0, 21
    1207. 

  1207. LR f1 score: 0.724
    1208. 

  1208. LR cohens kappa score: 0.711
    1209. 

  1209. LR average precision score: 0.959
    1210. 

  1210. 

  1211. -> test with 'RF'
    1212. 

  1212. RF tn, fp: 559, 1
    1213. 

  1213. RF fn, tp: 2, 19
    1214. 

  1214. RF f1 score: 0.927
    1215. 

  1215. RF cohens kappa score: 0.924
    1216. 

  1216. 

  1217. -> test with 'GB'
    1218. 

  1218. GB tn, fp: 558, 2
    1219. 

  1219. GB fn, tp: 0, 21
    1220. 

  1220. GB f1 score: 0.955
    1221. 

  1221. GB cohens kappa score: 0.953
    1222. 

  1222. 

  1223. -> test with 'KNN'
    1224. 

  1224. KNN tn, fp: 555, 5
    1225. 

  1225. KNN fn, tp: 0, 21
    1226. 

  1226. KNN f1 score: 0.894
    1227. 

  1227. KNN cohens kappa score: 0.889
    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 2152 synthetic samples
    1234. 

  1234. -> retrain GAN for predict
    1235. 

  1235. Epoch 1/10
    1236. 

  1236. 
  1/224 [..............................] - ETA: 48s - loss: 8.7873e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0028     
 78/224 [=========>....................] - ETA: 0s - loss: 0.0035
119/224 [==============>...............] - ETA: 0s - loss: 0.0035
159/224 [====================>.........] - ETA: 0s - loss: 0.0029
199/224 [=========================>....] - ETA: 0s - loss: 0.0026
224/224 [==============================] - 1s 1ms/step - loss: 0.0023
    1237. 

  1237. Epoch 2/10
    1238. 

  1238. 
  1/224 [..............................] - ETA: 0s - loss: 3.7329e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0017    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0012
123/224 [===============>..............] - ETA: 0s - loss: 0.0011
163/224 [====================>.........] - ETA: 0s - loss: 0.0015
203/224 [==========================>...] - ETA: 0s - loss: 0.0017
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
    1239. 

  1239. Epoch 3/10
    1240. 

  1240. 
  1/224 [..............................] - ETA: 0s - loss: 6.6592e-06
 39/224 [====>.........................] - ETA: 0s - loss: 0.0020    
 80/224 [=========>....................] - ETA: 0s - loss: 0.0013
118/224 [==============>...............] - ETA: 0s - loss: 0.0013
158/224 [====================>.........] - ETA: 0s - loss: 0.0012
197/224 [=========================>....] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    1241. 

  1241. Epoch 4/10
    1242. 

  1242. 
  1/224 [..............................] - ETA: 0s - loss: 4.5188e-06
 41/224 [====>.........................] - ETA: 0s - loss: 0.0011    
 81/224 [=========>....................] - ETA: 0s - loss: 9.7624e-04
115/224 [==============>...............] - ETA: 0s - loss: 8.9488e-04
150/224 [===================>..........] - ETA: 0s - loss: 8.1263e-04
182/224 [=======================>......] - ETA: 0s - loss: 0.0011    
219/224 [============================>.] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
    1243. 

  1243. Epoch 5/10
    1244. 

  1244. 
  1/224 [..............................] - ETA: 0s - loss: 9.5838e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0013    
 74/224 [========>.....................] - ETA: 0s - loss: 9.8557e-04
114/224 [==============>...............] - ETA: 0s - loss: 0.0013    
155/224 [===================>..........] - ETA: 0s - loss: 0.0012
196/224 [=========================>....] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 9.9260e-04
    1245. 

  1245. Epoch 6/10
    1246. 

  1246. 
  1/224 [..............................] - ETA: 0s - loss: 4.8655e-05
 41/224 [====>.........................] - ETA: 0s - loss: 0.0012    
 81/224 [=========>....................] - ETA: 0s - loss: 0.0010
120/224 [===============>..............] - ETA: 0s - loss: 8.0031e-04
158/224 [====================>.........] - ETA: 0s - loss: 7.0691e-04
197/224 [=========================>....] - ETA: 0s - loss: 6.7809e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.7892e-04
    1247. 

  1247. Epoch 7/10
    1248. 

  1248. 
  1/224 [..............................] - ETA: 0s - loss: 1.5300e-04
 40/224 [====>.........................] - ETA: 0s - loss: 2.9975e-04
 81/224 [=========>....................] - ETA: 0s - loss: 6.6960e-04
120/224 [===============>..............] - ETA: 0s - loss: 8.7447e-04
161/224 [====================>.........] - ETA: 0s - loss: 9.4058e-04
193/224 [========================>.....] - ETA: 0s - loss: 8.3322e-04
224/224 [==============================] - 0s 1ms/step - loss: 7.7465e-04
    1249. 

  1249. Epoch 8/10
    1250. 

  1250. 
  1/224 [..............................] - ETA: 0s - loss: 0.0062
 27/224 [==>...........................] - ETA: 0s - loss: 4.0718e-04
 65/224 [=======>......................] - ETA: 0s - loss: 3.5283e-04
105/224 [=============>................] - ETA: 0s - loss: 6.0283e-04
146/224 [==================>...........] - ETA: 0s - loss: 5.9434e-04
186/224 [=======================>......] - ETA: 0s - loss: 7.0047e-04
224/224 [==============================] - ETA: 0s - loss: 6.6618e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.6618e-04
    1251. 

  1251. Epoch 9/10
    1252. 

  1252. 
  1/224 [..............................] - ETA: 0s - loss: 3.7089e-06
 43/224 [====>.........................] - ETA: 0s - loss: 3.6455e-04
 82/224 [=========>....................] - ETA: 0s - loss: 5.2824e-04
122/224 [===============>..............] - ETA: 0s - loss: 6.5320e-04
162/224 [====================>.........] - ETA: 0s - loss: 6.0147e-04
202/224 [==========================>...] - ETA: 0s - loss: 5.9359e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.6275e-04
    1253. 

  1253. Epoch 10/10
    1254. 

  1254. 
  1/224 [..............................] - ETA: 0s - loss: 1.5879e-04
 42/224 [====>.........................] - ETA: 0s - loss: 2.7212e-04
 82/224 [=========>....................] - ETA: 0s - loss: 3.6289e-04
124/224 [===============>..............] - ETA: 0s - loss: 3.8569e-04
164/224 [====================>.........] - ETA: 0s - loss: 5.4334e-04
205/224 [==========================>...] - ETA: 0s - loss: 5.3204e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.4757e-04
    1255. 

  1255. -> test with GAN.predict
    1256. 

  1256. GAN tn, fp: 560, 0
    1257. 

  1257. GAN fn, tp: 0, 21
    1258. 

  1258. GAN f1 score: 1.000
    1259. 

  1259. GAN cohens kappa score: 1.000
    1260. 

  1260. 

  1261. -> test with 'LR'
    1262. 

  1262. LR tn, fp: 543, 17
    1263. 

  1263. LR fn, tp: 0, 21
    1264. 

  1264. LR f1 score: 0.712
    1265. 

  1265. LR cohens kappa score: 0.698
    1266. 

  1266. LR average precision score: 0.913
    1267. 

  1267. 

  1268. -> test with 'RF'
    1269. 

  1269. RF tn, fp: 560, 0
    1270. 

  1270. RF fn, tp: 3, 18
    1271. 

  1271. RF f1 score: 0.923
    1272. 

  1272. RF cohens kappa score: 0.920
    1273. 

  1273. 

  1274. -> test with 'GB'
    1275. 

  1275. GB tn, fp: 560, 0
    1276. 

  1276. GB fn, tp: 2, 19
    1277. 

  1277. GB f1 score: 0.950
    1278. 

  1278. GB cohens kappa score: 0.948
    1279. 

  1279. 

  1280. -> test with 'KNN'
    1281. 

  1281. KNN tn, fp: 555, 5
    1282. 

  1282. KNN fn, tp: 1, 20
    1283. 

  1283. KNN f1 score: 0.870
    1284. 

  1284. KNN cohens kappa score: 0.864
    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 2152 synthetic samples
    1291. 

  1291. -> retrain GAN for predict
    1292. 

  1292. Epoch 1/10
    1293. 

  1293. 
  1/224 [..............................] - ETA: 42s - loss: 7.4634e-05
 38/224 [====>.........................] - ETA: 0s - loss: 0.0021     
 73/224 [========>.....................] - ETA: 0s - loss: 0.0021
106/224 [=============>................] - ETA: 0s - loss: 0.0026
145/224 [==================>...........] - ETA: 0s - loss: 0.0026
184/224 [=======================>......] - ETA: 0s - loss: 0.0025
224/224 [==============================] - ETA: 0s - loss: 0.0027
224/224 [==============================] - 0s 1ms/step - loss: 0.0027
    1294. 

  1294. Epoch 2/10
    1295. 

  1295. 
  1/224 [..............................] - ETA: 0s - loss: 1.4975e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0021    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0026
123/224 [===============>..............] - ETA: 0s - loss: 0.0023
164/224 [====================>.........] - ETA: 0s - loss: 0.0024
205/224 [==========================>...] - ETA: 0s - loss: 0.0023
224/224 [==============================] - 0s 1ms/step - loss: 0.0022
    1296. 

  1296. Epoch 3/10
    1297. 

  1297. 
  1/224 [..............................] - ETA: 0s - loss: 6.3105e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0024    
 82/224 [=========>....................] - ETA: 0s - loss: 0.0023
123/224 [===============>..............] - ETA: 0s - loss: 0.0023
161/224 [====================>.........] - ETA: 0s - loss: 0.0021
200/224 [=========================>....] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 0s 1ms/step - loss: 0.0019
    1298. 

  1298. Epoch 4/10
    1299. 

  1299. 
  1/224 [..............................] - ETA: 0s - loss: 0.0043
 41/224 [====>.........................] - ETA: 0s - loss: 9.4917e-04
 81/224 [=========>....................] - ETA: 0s - loss: 0.0010    
121/224 [===============>..............] - ETA: 0s - loss: 0.0013
162/224 [====================>.........] - ETA: 0s - loss: 0.0019
203/224 [==========================>...] - ETA: 0s - loss: 0.0016
224/224 [==============================] - 0s 1ms/step - loss: 0.0016
    1300. 

  1300. Epoch 5/10
    1301. 

  1301. 
  1/224 [..............................] - ETA: 0s - loss: 0.0024
 41/224 [====>.........................] - ETA: 0s - loss: 0.0018
 83/224 [==========>...................] - ETA: 0s - loss: 0.0015
123/224 [===============>..............] - ETA: 0s - loss: 0.0017
164/224 [====================>.........] - ETA: 0s - loss: 0.0016
206/224 [==========================>...] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 0s 1ms/step - loss: 0.0015
    1302. 

  1302. Epoch 6/10
    1303. 

  1303. 
  1/224 [..............................] - ETA: 0s - loss: 1.5467e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0014    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0012
123/224 [===============>..............] - ETA: 0s - loss: 0.0013
164/224 [====================>.........] - ETA: 0s - loss: 0.0013
205/224 [==========================>...] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0013
    1304. 

  1304. Epoch 7/10
    1305. 

  1305. 
  1/224 [..............................] - ETA: 0s - loss: 1.9457e-05
 42/224 [====>.........................] - ETA: 0s - loss: 0.0016    
 83/224 [==========>...................] - ETA: 0s - loss: 0.0016
124/224 [===============>..............] - ETA: 0s - loss: 0.0015
160/224 [====================>.........] - ETA: 0s - loss: 0.0014
200/224 [=========================>....] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
    1306. 

  1306. Epoch 8/10
    1307. 

  1307. 
  1/224 [..............................] - ETA: 0s - loss: 9.0617e-05
 43/224 [====>.........................] - ETA: 0s - loss: 0.0012    
 84/224 [==========>...................] - ETA: 0s - loss: 8.5320e-04
125/224 [===============>..............] - ETA: 0s - loss: 9.1644e-04
158/224 [====================>.........] - ETA: 0s - loss: 0.0010    
192/224 [========================>.....] - ETA: 0s - loss: 0.0011
224/224 [==============================] - 0s 1ms/step - loss: 0.0011
    1308. 

  1308. Epoch 9/10
    1309. 

  1309. 
  1/224 [..............................] - ETA: 0s - loss: 1.2990e-04
 40/224 [====>.........................] - ETA: 0s - loss: 0.0011    
 78/224 [=========>....................] - ETA: 0s - loss: 0.0010
118/224 [==============>...............] - ETA: 0s - loss: 0.0010
160/224 [====================>.........] - ETA: 0s - loss: 9.1154e-04
201/224 [=========================>....] - ETA: 0s - loss: 8.9531e-04
224/224 [==============================] - 0s 1ms/step - loss: 9.1336e-04
    1310. 

  1310. Epoch 10/10
    1311. 

  1311. 
  1/224 [..............................] - ETA: 0s - loss: 2.1257e-05
 43/224 [====>.........................] - ETA: 0s - loss: 9.7105e-04
 81/224 [=========>....................] - ETA: 0s - loss: 8.0247e-04
121/224 [===============>..............] - ETA: 0s - loss: 8.0367e-04
161/224 [====================>.........] - ETA: 0s - loss: 8.4745e-04
203/224 [==========================>...] - ETA: 0s - loss: 8.7768e-04
224/224 [==============================] - 0s 1ms/step - loss: 8.6194e-04
    1312. 

  1312. -> test with GAN.predict
    1313. 

  1313. GAN tn, fp: 560, 0
    1314. 

  1314. GAN fn, tp: 0, 21
    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: 544, 16
    1320. 

  1320. LR fn, tp: 1, 20
    1321. 

  1321. LR f1 score: 0.702
    1322. 

  1322. LR cohens kappa score: 0.687
    1323. 

  1323. LR average precision score: 0.870
    1324. 

  1324. 

  1325. -> test with 'RF'
    1326. 

  1326. RF tn, fp: 560, 0
    1327. 

  1327. RF fn, tp: 1, 20
    1328. 

  1328. RF f1 score: 0.976
    1329. 

  1329. RF cohens kappa score: 0.975
    1330. 

  1330. 

  1331. -> test with 'GB'
    1332. 

  1332. GB tn, fp: 560, 0
    1333. 

  1333. GB fn, tp: 0, 21
    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: 553, 7
    1339. 

  1339. KNN fn, tp: 0, 21
    1340. 

  1340. KNN f1 score: 0.857
    1341. 

  1341. KNN cohens kappa score: 0.851
    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 2152 synthetic samples
    1348. 

  1348. -> retrain GAN for predict
    1349. 

  1349. Epoch 1/10
    1350. 

  1350. 
  1/224 [..............................] - ETA: 44s - loss: 4.6994e-04
 41/224 [====>.........................] - ETA: 0s - loss: 0.0025     
 82/224 [=========>....................] - ETA: 0s - loss: 0.0015
123/224 [===============>..............] - ETA: 0s - loss: 0.0011
161/224 [====================>.........] - ETA: 0s - loss: 0.0010
201/224 [=========================>....] - ETA: 0s - loss: 0.0012
224/224 [==============================] - 0s 1ms/step - loss: 0.0012
    1351. 

  1351. Epoch 2/10
    1352. 

  1352. 
  1/224 [..............................] - ETA: 0s - loss: 3.7760e-04
 42/224 [====>.........................] - ETA: 0s - loss: 0.0012    
 83/224 [==========>...................] - ETA: 0s - loss: 8.6158e-04
124/224 [===============>..............] - ETA: 0s - loss: 8.5708e-04
164/224 [====================>.........] - ETA: 0s - loss: 7.8524e-04
205/224 [==========================>...] - ETA: 0s - loss: 7.2189e-04
224/224 [==============================] - 0s 1ms/step - loss: 6.7801e-04
    1353. 

  1353. Epoch 3/10
    1354. 

  1354. 
  1/224 [..............................] - ETA: 0s - loss: 5.6544e-04
 39/224 [====>.........................] - ETA: 0s - loss: 6.0602e-04
 79/224 [=========>....................] - ETA: 0s - loss: 4.8584e-04
119/224 [==============>...............] - ETA: 0s - loss: 6.2658e-04
160/224 [====================>.........] - ETA: 0s - loss: 5.9168e-04
199/224 [=========================>....] - ETA: 0s - loss: 5.3494e-04
224/224 [==============================] - 0s 1ms/step - loss: 5.6740e-04
    1355. 

  1355. Epoch 4/10
    1356. 

  1356. 
  1/224 [..............................] - ETA: 0s - loss: 2.7548e-06
 41/224 [====>.........................] - ETA: 0s - loss: 2.2068e-04
 81/224 [=========>....................] - ETA: 0s - loss: 4.6923e-04
122/224 [===============>..............] - ETA: 0s - loss: 4.4680e-04
163/224 [====================>.........] - ETA: 0s - loss: 4.8731e-04
204/224 [==========================>...] - ETA: 0s - loss: 4.7932e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.8692e-04
    1357. 

  1357. Epoch 5/10
    1358. 

  1358. 
  1/224 [..............................] - ETA: 0s - loss: 5.9792e-05
 41/224 [====>.........................] - ETA: 0s - loss: 3.7629e-04
 81/224 [=========>....................] - ETA: 0s - loss: 4.5052e-04
121/224 [===============>..............] - ETA: 0s - loss: 4.3037e-04
162/224 [====================>.........] - ETA: 0s - loss: 4.0152e-04
203/224 [==========================>...] - ETA: 0s - loss: 3.9697e-04
224/224 [==============================] - 0s 1ms/step - loss: 4.0388e-04
    1359. 

  1359. Epoch 6/10
    1360. 

  1360. 
  1/224 [..............................] - ETA: 0s - loss: 3.1567e-05
 40/224 [====>.........................] - ETA: 0s - loss: 4.5639e-04
 75/224 [=========>....................] - ETA: 0s - loss: 4.6620e-04
113/224 [==============>...............] - ETA: 0s - loss: 3.8445e-04
150/224 [===================>..........] - ETA: 0s - loss: 3.6954e-04
191/224 [========================>.....] - ETA: 0s - loss: 3.7778e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.6865e-04
    1361. 

  1361. Epoch 7/10
    1362. 

  1362. 
  1/224 [..............................] - ETA: 0s - loss: 0.0010
 42/224 [====>.........................] - ETA: 0s - loss: 2.5513e-04
 83/224 [==========>...................] - ETA: 0s - loss: 3.4323e-04
124/224 [===============>..............] - ETA: 0s - loss: 3.3622e-04
165/224 [=====================>........] - ETA: 0s - loss: 3.0137e-04
199/224 [=========================>....] - ETA: 0s - loss: 3.5660e-04
224/224 [==============================] - 0s 1ms/step - loss: 3.4506e-04
    1363. 

  1363. Epoch 8/10
    1364. 

  1364. 
  1/224 [..............................] - ETA: 0s - loss: 5.4483e-08
 34/224 [===>..........................] - ETA: 0s - loss: 1.8039e-04
 75/224 [=========>....................] - ETA: 0s - loss: 2.5652e-04
116/224 [==============>...............] - ETA: 0s - loss: 3.3132e-04
154/224 [===================>..........] - ETA: 0s - loss: 3.0483e-04
192/224 [========================>.....] - ETA: 0s - loss: 2.9792e-04
224/224 [==============================] - 0s 1ms/step - loss: 2.9681e-04
    1365. 

  1365. Epoch 9/10
    1366. 

  1366. 
  1/224 [..............................] - ETA: 0s - loss: 2.3956e-04
 42/224 [====>.........................] - ETA: 0s - loss: 1.8317e-04
 82/224 [=========>....................] - ETA: 0s - loss: 2.4902e-04
123/224 [===============>..............] - ETA: 0s - loss: 2.7816e-04
164/224 [====================>.........] - ETA: 0s - loss: 2.5570e-04
204/224 [==========================>...] - ETA: 0s - loss: 2.6815e-04
224/224 [==============================] - 0s 1ms/step - loss: 2.5767e-04
    1367. 

  1367. Epoch 10/10
    1368. 

  1368. 
  1/224 [..............................] - ETA: 0s - loss: 0.0014
 38/224 [====>.........................] - ETA: 0s - loss: 2.6988e-04
 79/224 [=========>....................] - ETA: 0s - loss: 2.3194e-04
119/224 [==============>...............] - ETA: 0s - loss: 2.6598e-04
160/224 [====================>.........] - ETA: 0s - loss: 2.7205e-04
200/224 [=========================>....] - ETA: 0s - loss: 2.4635e-04
224/224 [==============================] - 0s 1ms/step - loss: 2.4053e-04
    1369. 

  1369. -> test with GAN.predict
    1370. 

  1370. GAN tn, fp: 558, 2
    1371. 

  1371. GAN fn, tp: 1, 20
    1372. 

  1372. GAN f1 score: 0.930
    1373. 

  1373. GAN cohens kappa score: 0.928
    1374. 

  1374. 

  1375. -> test with 'LR'
    1376. 

  1376. LR tn, fp: 539, 21
    1377. 

  1377. LR fn, tp: 1, 20
    1378. 

  1378. LR f1 score: 0.645
    1379. 

  1379. LR cohens kappa score: 0.627
    1380. 

  1380. LR average precision score: 0.881
    1381. 

  1381. 

  1382. -> test with 'RF'
    1383. 

  1383. RF tn, fp: 558, 2
    1384. 

  1384. RF fn, tp: 1, 20
    1385. 

  1385. RF f1 score: 0.930
    1386. 

  1386. RF cohens kappa score: 0.928
    1387. 

  1387. 

  1388. -> test with 'GB'
    1389. 

  1389. GB tn, fp: 558, 2
    1390. 

  1390. GB fn, tp: 1, 20
    1391. 

  1391. GB f1 score: 0.930
    1392. 

  1392. GB cohens kappa score: 0.928
    1393. 

  1393. 

  1394. -> test with 'KNN'
    1395. 

  1395. KNN tn, fp: 551, 9
    1396. 

  1396. KNN fn, tp: 0, 21
    1397. 

  1397. KNN f1 score: 0.824
    1398. 

  1398. KNN cohens kappa score: 0.816
    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 2156 synthetic samples
    1405. 

  1405. -> retrain GAN for predict
    1406. 

  1406. Epoch 1/10
    1407. 

  1407. 
  1/224 [..............................] - ETA: 37s - loss: 3.1831e-04
 38/224 [====>.........................] - ETA: 0s - loss: 0.0012     
 76/224 [=========>....................] - ETA: 0s - loss: 0.0043
111/224 [=============>................] - ETA: 0s - loss: 0.0033
148/224 [==================>...........] - ETA: 0s - loss: 0.0026
181/224 [=======================>......] - ETA: 0s - loss: 0.0025
202/224 [==========================>...] - ETA: 0s - loss: 0.0025
224/224 [==============================] - 1s 2ms/step - loss: 0.0023
    1408. 

  1408. Epoch 2/10
    1409. 

  1409. 
  1/224 [..............................] - ETA: 0s - loss: 2.2252e-05
 23/224 [==>...........................] - ETA: 0s - loss: 6.0798e-04
 40/224 [====>.........................] - ETA: 0s - loss: 6.8588e-04
 64/224 [=======>......................] - ETA: 0s - loss: 0.0030    
 91/224 [===========>..................] - ETA: 0s - loss: 0.0024
123/224 [===============>..............] - ETA: 0s - loss: 0.0025
151/224 [===================>..........] - ETA: 0s - loss: 0.0022
188/224 [========================>.....] - ETA: 0s - loss: 0.0020
219/224 [============================>.] - ETA: 0s - loss: 0.0018
224/224 [==============================] - 0s 2ms/step - loss: 0.0020
    1410. 

  1410. Epoch 3/10
    1411. 

  1411. 
  1/224 [..............................] - ETA: 0s - loss: 0.0100
 24/224 [==>...........................] - ETA: 0s - loss: 0.0031
 46/224 [=====>........................] - ETA: 0s - loss: 0.0024
 72/224 [========>.....................] - ETA: 0s - loss: 0.0025
 96/224 [===========>..................] - ETA: 0s - loss: 0.0021
117/224 [==============>...............] - ETA: 0s - loss: 0.0018
140/224 [=================>............] - ETA: 0s - loss: 0.0026
161/224 [====================>.........] - ETA: 0s - loss: 0.0023
180/224 [=======================>......] - ETA: 0s - loss: 0.0021
202/224 [==========================>...] - ETA: 0s - loss: 0.0020
224/224 [==============================] - 1s 2ms/step - loss: 0.0019
    1412. 

  1412. Epoch 4/10
    1413. 

  1413. 
  1/224 [..............................] - ETA: 0s - loss: 8.1610e-05
 17/224 [=>............................] - ETA: 0s - loss: 5.4886e-04
 37/224 [===>..........................] - ETA: 0s - loss: 0.0026    
 50/224 [=====>........................] - ETA: 0s - loss: 0.0021
 64/224 [=======>......................] - ETA: 0s - loss: 0.0017
 82/224 [=========>....................] - ETA: 0s - loss: 0.0029
100/224 [============>.................] - ETA: 0s - loss: 0.0025
118/224 [==============>...............] - ETA: 0s - loss: 0.0022
135/224 [=================>............] - ETA: 0s - loss: 0.0020
149/224 [==================>...........] - ETA: 0s - loss: 0.0019
168/224 [=====================>........] - ETA: 0s - loss: 0.0017
188/224 [========================>.....] - ETA: 0s - loss: 0.0016
204/224 [==========================>...] - ETA: 0s - loss: 0.0015
224/224 [==============================] - 1s 3ms/step - loss: 0.0014
    1414. 

  1414. Epoch 5/10
    1415. 

  1415. 
  1/224 [..............................] - ETA: 0s - loss: 1.4359e-05
 23/224 [==>...........................] - ETA: 0s - loss: 6.8349e-04
 45/224 [=====>........................] - ETA: 0s - loss: 0.0020    
 68/224 [========>.....................] - ETA: 0s - loss: 0.0019
 93/224 [===========>..................] - ETA: 0s - loss: 0.0019
118/224 [==============>...............] - ETA: 0s - loss: 0.0017
145/224 [==================>...........] - ETA: 0s - loss: 0.0015
173/224 [======================>.......] - ETA: 0s - loss: 0.0014
202/224 [==========================>...] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 2ms/step - loss: 0.0012
    1416. 

  1416. Epoch 6/10
    1417. 

  1417. 
  1/224 [..............................] - ETA: 0s - loss: 2.2962e-06
 29/224 [==>...........................] - ETA: 0s - loss: 0.0022    
 53/224 [======>.......................] - ETA: 0s - loss: 0.0014
 75/224 [=========>....................] - ETA: 0s - loss: 0.0012
100/224 [============>.................] - ETA: 0s - loss: 0.0015
123/224 [===============>..............] - ETA: 0s - loss: 0.0014
149/224 [==================>...........] - ETA: 0s - loss: 0.0015
176/224 [======================>.......] - ETA: 0s - loss: 0.0014
202/224 [==========================>...] - ETA: 0s - loss: 0.0013
224/224 [==============================] - 0s 2ms/step - loss: 0.0013
    1418. 

  1418. Epoch 7/10
    1419. 

  1419. 
  1/224 [..............................] - ETA: 0s - loss: 4.6881e-04
 28/224 [==>...........................] - ETA: 0s - loss: 0.0013    
 55/224 [======>.......................] - ETA: 0s - loss: 9.9554e-04
 83/224 [==========>...................] - ETA: 0s - loss: 7.8522e-04
110/224 [=============>................] - ETA: 0s - loss: 7.3292e-04
137/224 [=================>............] - ETA: 0s - loss: 8.8499e-04
164/224 [====================>.........] - ETA: 0s - loss: 9.2763e-04
191/224 [========================>.....] - ETA: 0s - loss: 8.4080e-04
217/224 [============================>.] - ETA: 0s - loss: 0.0012    
224/224 [==============================] - 0s 2ms/step - loss: 0.0011
    1420. 

  1420. Epoch 8/10
    1421. 

  1421. 
  1/224 [..............................] - ETA: 0s - loss: 6.7599e-04
 27/224 [==>...........................] - ETA: 0s - loss: 9.5878e-04
 52/224 [=====>........................] - ETA: 0s - loss: 6.3231e-04
 79/224 [=========>....................] - ETA: 0s - loss: 4.8574e-04
105/224 [=============>................] - ETA: 0s - loss: 8.9956e-04
128/224 [================>.............] - ETA: 0s - loss: 0.0011    
154/224 [===================>..........] - ETA: 0s - loss: 9.8250e-04
178/224 [======================>.......] - ETA: 0s - loss: 0.0011    
197/224 [=========================>....] - ETA: 0s - loss: 0.0011
214/224 [===========================>..] - ETA: 0s - loss: 0.0010
224/224 [==============================] - 0s 2ms/step - loss: 0.0010
    1422. 

  1422. Epoch 9/10
    1423. 

  1423. 
  1/224 [..............................] - ETA: 0s - loss: 4.9741e-04
 21/224 [=>............................] - ETA: 0s - loss: 2.9685e-04
 33/224 [===>..........................] - ETA: 0s - loss: 2.7087e-04
 44/224 [====>.........................] - ETA: 0s - loss: 3.1765e-04
 56/224 [======>.......................] - ETA: 0s - loss: 5.6501e-04
 71/224 [========>.....................] - ETA: 0s - loss: 5.1957e-04
 89/224 [==========>...................] - ETA: 0s - loss: 4.8322e-04
107/224 [=============>................] - ETA: 0s - loss: 4.3149e-04
125/224 [===============>..............] - ETA: 0s - loss: 3.9670e-04
143/224 [==================>...........] - ETA: 0s - loss: 5.4461e-04
161/224 [====================>.........] - ETA: 0s - loss: 5.2615e-04
179/224 [======================>.......] - ETA: 0s - loss: 4.9696e-04
200/224 [=========================>....] - ETA: 0s - loss: 4.9701e-04
220/224 [============================>.] - ETA: 0s - loss: 6.4003e-04
224/224 [==============================] - 1s 3ms/step - loss: 7.3046e-04
    1424. 

  1424. Epoch 10/10
    1425. 

  1425. 
  1/224 [..............................] - ETA: 1s - loss: 5.0502e-05
 17/224 [=>............................] - ETA: 0s - loss: 0.0019    
 34/224 [===>..........................] - ETA: 0s - loss: 0.0011
 51/224 [=====>........................] - ETA: 0s - loss: 0.0014
 69/224 [========>.....................] - ETA: 0s - loss: 0.0011
 87/224 [==========>...................] - ETA: 0s - loss: 9.4806e-04
113/224 [==============>...............] - ETA: 0s - loss: 9.7338e-04
139/224 [=================>............] - ETA: 0s - loss: 9.9971e-04
169/224 [=====================>........] - ETA: 0s - loss: 0.0011    
198/224 [=========================>....] - ETA: 0s - loss: 9.7098e-04
221/224 [============================>.] - ETA: 0s - loss: 8.9718e-04
224/224 [==============================] - 1s 2ms/step - loss: 8.8841e-04
    1426. 

  1426. -> test with GAN.predict
    1427. 

  1427. GAN tn, fp: 555, 1
    1428. 

  1428. GAN fn, tp: 0, 21
    1429. 

  1429. GAN f1 score: 0.977
    1430. 

  1430. GAN cohens kappa score: 0.976
    1431. 

  1431. 

  1432. -> test with 'LR'
    1433. 

  1433. LR tn, fp: 542, 14
    1434. 

  1434. LR fn, tp: 1, 20
    1435. 

  1435. LR f1 score: 0.727
    1436. 

  1436. LR cohens kappa score: 0.714
    1437. 

  1437. LR average precision score: 0.896
    1438. 

  1438. 

  1439. -> test with 'RF'
    1440. 

  1440. RF tn, fp: 556, 0
    1441. 

  1441. RF fn, tp: 2, 19
    1442. 

  1442. RF f1 score: 0.950
    1443. 

  1443. RF cohens kappa score: 0.948
    1444. 

  1444. 

  1445. -> test with 'GB'
    1446. 

  1446. GB tn, fp: 556, 0
    1447. 

  1447. GB fn, tp: 0, 21
    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: 548, 8
    1453. 

  1453. KNN fn, tp: 0, 21
    1454. 

  1454. KNN f1 score: 0.840
    1455. 

  1455. KNN cohens kappa score: 0.833
    1456. 

  1456. 

  1457. ### Exercise is done.
    1458. 

  1458. 

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

  1460. maximum:
    1461. 

  1461. LR tn, fp: 552, 23
    1462. 

  1462. LR fn, tp: 5, 21
    1463. 

  1463. LR f1 score: 0.816
    1464. 

  1464. LR cohens kappa score: 0.808
    1465. 

  1465. LR average precision score: 0.981
    1466. 

  1466. 

  1467. 

  1468. average:
    1469. 

  1469. LR tn, fp: 543.16, 16.04
    1470. 

  1470. LR fn, tp: 0.8, 20.2
    1471. 

  1471. LR f1 score: 0.710
    1472. 

  1472. LR cohens kappa score: 0.696
    1473. 

  1473. LR average precision score: 0.906
    1474. 

  1474. 

  1475. 

  1476. minimum:
    1477. 

  1477. LR tn, fp: 533, 8
    1478. 

  1478. LR fn, tp: 0, 16
    1479. 

  1479. LR f1 score: 0.625
    1480. 

  1480. LR cohens kappa score: 0.606
    1481. 

  1481. LR average precision score: 0.813
    1482. 

  1482. 

  1483. 

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

  1485. maximum:
    1486. 

  1486. RF tn, fp: 560, 5
    1487. 

  1487. RF fn, tp: 6, 21
    1488. 

  1488. RF f1 score: 0.977
    1489. 

  1489. RF cohens kappa score: 0.976
    1490. 

  1490. 

  1491. 

  1492. average:
    1493. 

  1493. RF tn, fp: 558.48, 0.72
    1494. 

  1494. RF fn, tp: 1.84, 19.16
    1495. 

  1495. RF f1 score: 0.937
    1496. 

  1496. RF cohens kappa score: 0.935
    1497. 

  1497. 

  1498. 

  1499. minimum:
    1500. 

  1500. RF tn, fp: 555, 0
    1501. 

  1501. RF fn, tp: 0, 15
    1502. 

  1502. RF f1 score: 0.833
    1503. 

  1503. RF cohens kappa score: 0.828
    1504. 

  1504. 

  1505. 

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

  1507. maximum:
    1508. 

  1508. GB tn, fp: 560, 5
    1509. 

  1509. GB fn, tp: 4, 21
    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: 558.52, 0.68
    1516. 

  1516. GB fn, tp: 1.0, 20.0
    1517. 

  1517. GB f1 score: 0.960
    1518. 

  1518. GB cohens kappa score: 0.958
    1519. 

  1519. 

  1520. 

  1521. minimum:
    1522. 

  1522. GB tn, fp: 555, 0
    1523. 

  1523. GB fn, tp: 0, 17
    1524. 

  1524. GB f1 score: 0.870
    1525. 

  1525. GB cohens kappa score: 0.864
    1526. 

  1526. 

  1527. 

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

  1529. maximum:
    1530. 

  1530. KNN tn, fp: 558, 11
    1531. 

  1531. KNN fn, tp: 1, 21
    1532. 

  1532. KNN f1 score: 0.955
    1533. 

  1533. KNN cohens kappa score: 0.953
    1534. 

  1534. 

  1535. 

  1536. average:
    1537. 

  1537. KNN tn, fp: 552.8, 6.4
    1538. 

  1538. KNN fn, tp: 0.2, 20.8
    1539. 

  1539. KNN f1 score: 0.865
    1540. 

  1540. KNN cohens kappa score: 0.859
    1541. 

  1541. 

  1542. 

  1543. minimum:
    1544. 

  1544. KNN tn, fp: 547, 2
    1545. 

  1545. KNN fn, tp: 0, 20
    1546. 

  1546. KNN f1 score: 0.784
    1547. 

  1547. KNN cohens kappa score: 0.775
    1548. 

  1548. 

  1549. 

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

  1551. maximum:
    1552. 

  1552. GAN tn, fp: 560, 6
    1553. 

  1553. GAN fn, tp: 3, 21
    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: 558.48, 0.72
    1560. 

  1560. GAN fn, tp: 0.76, 20.24
    1561. 

  1561. GAN f1 score: 0.965
    1562. 

  1562. GAN cohens kappa score: 0.964
    1563. 

  1563. 

  1564. 

  1565. minimum:
    1566. 

  1566. GAN tn, fp: 550, 0
    1567. 

  1567. GAN fn, tp: 0, 18
    1568. 

  1568. GAN f1 score: 0.875
    1569. 

  1569. GAN cohens kappa score: 0.870
    1570. 

  1570.