Inicio Explorar Axuda
Iniciar sesión
fyrr
/
ConvGeNBenchmarkResults
1
0
Fork 0
Ficheiros Incidencias 0 Pull Requests 0 Wiki
Árbore: 5889e260a5
Ramas Etiquetas
ConvGeNBench...
/
data_result
/
ConvGeN-proximity-full
/
folding_kr-vs-k-three_vs_eleven.log

folding_kr-vs-k-three_vs_eleven.log 280 KB
Histórico Raw

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798991001011021031041051061071081091101111121131141151161171181191201211221231241251261271281291301311321331341351361371381391401411421431441451461471481491501511521531541551561571581591601611621631641651661671681691701711721731741751761771781791801811821831841851861871881891901911921931941951961971981992002012022032042052062072082092102112122132142152162172182192202212222232242252262272282292302312322332342352362372382392402412422432442452462472482492502512522532542552562572582592602612622632642652662672682692702712722732742752762772782792802812822832842852862872882892902912922932942952962972982993003013023033043053063073083093103113123133143153163173183193203213223233243253263273283293303313323333343353363373383393403413423433443453463473483493503513523533543553563573583593603613623633643653663673683693703713723733743753763773783793803813823833843853863873883893903913923933943953963973983994004014024034044054064074084094104114124134144154164174184194204214224234244254264274284294304314324334344354364374384394404414424434444454464474484494504514524534544554564574584594604614624634644654664674684694704714724734744754764774784794804814824834844854864874884894904914924934944954964974984995005015025035045055065075085095105115125135145155165175185195205215225235245255265275285295305315325335345355365375385395405415425435445455465475485495505515525535545555565575585595605615625635645655665675685695705715725735745755765775785795805815825835845855865875885895905915925935945955965975985996006016026036046056066076086096106116126136146156166176186196206216226236246256266276286296306316326336346356366376386396406416426436446456466476486496506516526536546556566576586596606616626636646656666676686696706716726736746756766776786796806816826836846856866876886896906916926936946956966976986997007017027037047057067077087097107117127137147157167177187197207217227237247257267277287297307317327337347357367377387397407417427437447457467477487497507517527537547557567577587597607617627637647657667677687697707717727737747757767777787797807817827837847857867877887897907917927937947957967977987998008018028038048058068078088098108118128138148158168178188198208218228238248258268278288298308318328338348358368378388398408418428438448458468478488498508518528538548558568578588598608618628638648658668678688698708718728738748758768778788798808818828838848858868878888898908918928938948958968978988999009019029039049059069079089099109119129139149159169179189199209219229239249259269279289299309319329339349359369379389399409419429439449459469479489499509519529539549559569579589599609619629639649659669679689699709719729739749759769779789799809819829839849859869879889899909919929939949959969979989991000100110021003100410051006100710081009101010111012101310141015101610171018101910201021102210231024102510261027102810291030103110321033103410351036103710381039104010411042104310441045104610471048104910501051105210531054105510561057105810591060106110621063106410651066106710681069107010711072107310741075107610771078107910801081108210831084108510861087108810891090109110921093109410951096109710981099110011011102110311041105110611071108110911101111111211131114111511161117111811191120112111221123112411251126112711281129113011311132113311341135113611371138113911401141114211431144114511461147114811491150115111521153115411551156115711581159116011611162116311641165116611671168116911701171117211731174117511761177117811791180118111821183118411851186118711881189119011911192119311941195119611971198119912001201120212031204120512061207120812091210121112121213121412151216121712181219122012211222122312241225122612271228122912301231123212331234123512361237123812391240124112421243124412451246124712481249125012511252125312541255125612571258125912601261126212631264126512661267126812691270127112721273127412751276127712781279128012811282128312841285128612871288128912901291129212931294129512961297129812991300130113021303130413051306130713081309131013111312131313141315131613171318131913201321132213231324132513261327132813291330133113321333133413351336133713381339134013411342134313441345134613471348134913501351135213531354135513561357135813591360136113621363136413651366136713681369137013711372137313741375137613771378137913801381138213831384138513861387138813891390139113921393139413951396139713981399140014011402140314041405140614071408140914101411141214131414141514161417141814191420142114221423142414251426142714281429143014311432143314341435143614371438143914401441144214431444144514461447144814491450145114521453145414551456145714581459146014611462146314641465146614671468146914701471147214731474147514761477147814791480148114821483148414851486148714881489149014911492149314941495149614971498149915001501150215031504150515061507150815091510151115121513151415151516151715181519152015211522152315241525152615271528152915301531153215331534153515361537153815391540154115421543154415451546154715481549155015511552155315541555155615571558155915601561156215631564156515661567156815691570 
  1. 

  2. 

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

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

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

  6. 

  7. Load 'data_input/folding_kr-vs-k-three_vs_eleven'
    8. 

  8. from pickle file
    9. 

  9. Data loaded.
    10. 

  10. -> Shuffling data
    11. 

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

  12. 

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

  14. -> Shuffling data
    15. 

  15. -> Spliting data to slices
    16. 

  16. 

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

  18. -> Reset the GAN
    19. 

  19. -> Train generator for synthetic samples
    20. 

  20. -> create 2219 synthetic samples
    21. 

  21. -> retrain GAN for predict
    22. 

  22. Epoch 1/10
    23. 

  23. 
  1/229 [..............................] - ETA: 36s - loss: 2.5891e-10
 35/229 [===>..........................] - ETA: 0s - loss: 0.0014     
 67/229 [=======>......................] - ETA: 0s - loss: 0.0121
103/229 [============>.................] - ETA: 0s - loss: 0.0106
140/229 [=================>............] - ETA: 0s - loss: 0.0078
181/229 [======================>.......] - ETA: 0s - loss: 0.0060
218/229 [===========================>..] - ETA: 0s - loss: 0.0050
229/229 [==============================] - 0s 1ms/step - loss: 0.0048
    24. 

  24. Epoch 2/10
    25. 

  25. 
  1/229 [..............................] - ETA: 0s - loss: 1.2739e-09
 34/229 [===>..........................] - ETA: 0s - loss: 1.4134e-08
 68/229 [=======>......................] - ETA: 0s - loss: 7.4645e-05
103/229 [============>.................] - ETA: 0s - loss: 4.9288e-05
137/229 [================>.............] - ETA: 0s - loss: 3.7158e-05
175/229 [=====================>........] - ETA: 0s - loss: 2.9111e-05
211/229 [==========================>...] - ETA: 0s - loss: 2.4237e-05
229/229 [==============================] - 0s 1ms/step - loss: 5.1463e-05
    26. 

  26. Epoch 3/10
    27. 

  27. 
  1/229 [..............................] - ETA: 0s - loss: 3.7232e-09
 38/229 [===>..........................] - ETA: 0s - loss: 1.1859e-07
 73/229 [========>.....................] - ETA: 0s - loss: 1.9901e-07
108/229 [=============>................] - ETA: 0s - loss: 3.1746e-07
144/229 [=================>............] - ETA: 0s - loss: 2.9981e-07
181/229 [======================>.......] - ETA: 0s - loss: 1.5095e-06
217/229 [===========================>..] - ETA: 0s - loss: 1.2756e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.2139e-06
    28. 

  28. Epoch 4/10
    29. 

  29. 
  1/229 [..............................] - ETA: 0s - loss: 1.6022e-11
 35/229 [===>..........................] - ETA: 0s - loss: 3.4405e-07
 70/229 [========>.....................] - ETA: 0s - loss: 2.3611e-07
106/229 [============>.................] - ETA: 0s - loss: 2.3245e-07
146/229 [==================>...........] - ETA: 0s - loss: 1.5545e-06
188/229 [=======================>......] - ETA: 0s - loss: 1.2819e-06
223/229 [============================>.] - ETA: 0s - loss: 1.1244e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.1036e-06
    30. 

  30. Epoch 5/10
    31. 

  31. 
  1/229 [..............................] - ETA: 0s - loss: 8.4662e-09
 38/229 [===>..........................] - ETA: 0s - loss: 4.6337e-06
 75/229 [========>.....................] - ETA: 0s - loss: 2.3755e-06
112/229 [=============>................] - ETA: 0s - loss: 1.6416e-06
150/229 [==================>...........] - ETA: 0s - loss: 1.3266e-06
185/229 [=======================>......] - ETA: 0s - loss: 1.1523e-06
221/229 [===========================>..] - ETA: 0s - loss: 1.0187e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.9988e-07
    32. 

  32. Epoch 6/10
    33. 

  33. 
  1/229 [..............................] - ETA: 0s - loss: 6.4457e-08
 35/229 [===>..........................] - ETA: 0s - loss: 4.6469e-06
 71/229 [========>.....................] - ETA: 0s - loss: 2.3248e-06
103/229 [============>.................] - ETA: 0s - loss: 1.6511e-06
134/229 [================>.............] - ETA: 0s - loss: 1.3806e-06
169/229 [=====================>........] - ETA: 0s - loss: 1.1496e-06
205/229 [=========================>....] - ETA: 0s - loss: 1.0105e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.1973e-07
    34. 

  34. Epoch 7/10
    35. 

  35. 
  1/229 [..............................] - ETA: 0s - loss: 5.1726e-06
 36/229 [===>..........................] - ETA: 0s - loss: 2.1911e-07
 72/229 [========>.....................] - ETA: 0s - loss: 3.3069e-07
108/229 [=============>................] - ETA: 0s - loss: 3.2707e-07
144/229 [=================>............] - ETA: 0s - loss: 2.6693e-07
185/229 [=======================>......] - ETA: 0s - loss: 9.9025e-07
222/229 [============================>.] - ETA: 0s - loss: 8.7040e-07
229/229 [==============================] - 0s 1ms/step - loss: 8.4652e-07
    36. 

  36. Epoch 8/10
    37. 

  37. 
  1/229 [..............................] - ETA: 0s - loss: 2.2182e-09
 36/229 [===>..........................] - ETA: 0s - loss: 6.1033e-07
 76/229 [========>.....................] - ETA: 0s - loss: 4.3426e-07
110/229 [=============>................] - ETA: 0s - loss: 3.3863e-07
146/229 [==================>...........] - ETA: 0s - loss: 1.1250e-06
183/229 [======================>.......] - ETA: 0s - loss: 9.6219e-07
214/229 [===========================>..] - ETA: 0s - loss: 8.2995e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.8109e-07
    38. 

  38. Epoch 9/10
    39. 

  39. 
  1/229 [..............................] - ETA: 0s - loss: 4.0364e-08
 31/229 [===>..........................] - ETA: 0s - loss: 4.2497e-07
 64/229 [=======>......................] - ETA: 0s - loss: 2.6380e-07
 97/229 [===========>..................] - ETA: 0s - loss: 1.8195e-07
133/229 [================>.............] - ETA: 0s - loss: 2.5220e-07
168/229 [=====================>........] - ETA: 0s - loss: 2.3711e-07
203/229 [=========================>....] - ETA: 0s - loss: 7.5827e-07
229/229 [==============================] - 0s 2ms/step - loss: 7.2631e-07
    40. 

  40. Epoch 10/10
    41. 

  41. 
  1/229 [..............................] - ETA: 0s - loss: 1.5921e-09
 37/229 [===>..........................] - ETA: 0s - loss: 1.5946e-07
 68/229 [=======>......................] - ETA: 0s - loss: 1.3808e-07
103/229 [============>.................] - ETA: 0s - loss: 1.7005e-07
136/229 [================>.............] - ETA: 0s - loss: 2.9789e-07
173/229 [=====================>........] - ETA: 0s - loss: 8.2612e-07
210/229 [==========================>...] - ETA: 0s - loss: 7.2600e-07
229/229 [==============================] - 0s 1ms/step - loss: 6.7711e-07
    42. 

  42. -> test with GAN.predict
    43. 

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

  44. GAN fn, tp: 0, 17
    45. 

  45. GAN f1 score: 1.000
    46. 

  46. GAN cohens kappa score: 1.000
    47. 

  47. 

  48. -> test with 'LR'
    49. 

  49. LR tn, fp: 570, 1
    50. 

  50. LR fn, tp: 0, 17
    51. 

  51. LR f1 score: 0.971
    52. 

  52. LR cohens kappa score: 0.971
    53. 

  53. LR average precision score: 1.000
    54. 

  54. 

  55. -> test with 'RF'
    56. 

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

  57. RF fn, tp: 0, 17
    58. 

  58. RF f1 score: 1.000
    59. 

  59. RF cohens kappa score: 1.000
    60. 

  60. 

  61. -> test with 'GB'
    62. 

  62. GB tn, fp: 571, 0
    63. 

  63. GB fn, tp: 0, 17
    64. 

  64. GB f1 score: 1.000
    65. 

  65. GB cohens kappa score: 1.000
    66. 

  66. 

  67. -> test with 'KNN'
    68. 

  68. KNN tn, fp: 567, 4
    69. 

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

  70. KNN f1 score: 0.895
    71. 

  71. KNN cohens kappa score: 0.891
    72. 

  72. 

  73. 

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

  75. -> Reset the GAN
    76. 

  76. -> Train generator for synthetic samples
    77. 

  77. -> create 2219 synthetic samples
    78. 

  78. -> retrain GAN for predict
    79. 

  79. Epoch 1/10
    80. 

  80. 
  1/229 [..............................] - ETA: 36s - loss: 8.0687e-09
 40/229 [====>.........................] - ETA: 0s - loss: 0.0053     
 76/229 [========>.....................] - ETA: 0s - loss: 0.0036
113/229 [=============>................] - ETA: 0s - loss: 0.0026
149/229 [==================>...........] - ETA: 0s - loss: 0.0020
187/229 [=======================>......] - ETA: 0s - loss: 0.0016
224/229 [============================>.] - ETA: 0s - loss: 0.0013
229/229 [==============================] - 0s 1ms/step - loss: 0.0013
    81. 

  81. Epoch 2/10
    82. 

  82. 
  1/229 [..............................] - ETA: 0s - loss: 7.1672e-11
 38/229 [===>..........................] - ETA: 0s - loss: 2.2314e-06
 74/229 [========>.....................] - ETA: 0s - loss: 1.6106e-06
111/229 [=============>................] - ETA: 0s - loss: 1.1659e-06
147/229 [==================>...........] - ETA: 0s - loss: 1.5709e-06
182/229 [======================>.......] - ETA: 0s - loss: 2.9297e-06
218/229 [===========================>..] - ETA: 0s - loss: 3.1651e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.0225e-06
    83. 

  83. Epoch 3/10
    84. 

  84. 
  1/229 [..............................] - ETA: 0s - loss: 1.4374e-09
 37/229 [===>..........................] - ETA: 0s - loss: 5.7018e-06
 72/229 [========>.....................] - ETA: 0s - loss: 3.5203e-06
106/229 [============>.................] - ETA: 0s - loss: 2.7548e-06
146/229 [==================>...........] - ETA: 0s - loss: 2.0056e-06
183/229 [======================>.......] - ETA: 0s - loss: 1.8393e-06
218/229 [===========================>..] - ETA: 0s - loss: 2.2176e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.3716e-06
    85. 

  85. Epoch 4/10
    86. 

  86. 
  1/229 [..............................] - ETA: 0s - loss: 1.6180e-05
 33/229 [===>..........................] - ETA: 0s - loss: 3.4266e-06
 61/229 [======>.......................] - ETA: 0s - loss: 1.8636e-06
 88/229 [==========>...................] - ETA: 0s - loss: 1.6930e-06
118/229 [==============>...............] - ETA: 0s - loss: 1.7731e-06
156/229 [===================>..........] - ETA: 0s - loss: 1.8380e-06
193/229 [========================>.....] - ETA: 0s - loss: 1.5135e-06
229/229 [==============================] - 0s 2ms/step - loss: 2.0142e-06
    87. 

  87. Epoch 5/10
    88. 

  88. 
  1/229 [..............................] - ETA: 0s - loss: 5.6718e-05
 35/229 [===>..........................] - ETA: 0s - loss: 1.6730e-06
 71/229 [========>.....................] - ETA: 0s - loss: 8.8609e-07
108/229 [=============>................] - ETA: 0s - loss: 6.1401e-07
143/229 [=================>............] - ETA: 0s - loss: 1.5339e-06
180/229 [======================>.......] - ETA: 0s - loss: 1.4492e-06
219/229 [===========================>..] - ETA: 0s - loss: 1.7547e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.7851e-06
    89. 

  89. Epoch 6/10
    90. 

  90. 
  1/229 [..............................] - ETA: 0s - loss: 2.2050e-09
 40/229 [====>.........................] - ETA: 0s - loss: 6.8620e-08
 75/229 [========>.....................] - ETA: 0s - loss: 3.5193e-07
111/229 [=============>................] - ETA: 0s - loss: 1.5473e-06
148/229 [==================>...........] - ETA: 0s - loss: 1.7822e-06
184/229 [=======================>......] - ETA: 0s - loss: 1.6276e-06
219/229 [===========================>..] - ETA: 0s - loss: 1.5222e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.6348e-06
    91. 

  91. Epoch 7/10
    92. 

  92. 
  1/229 [..............................] - ETA: 0s - loss: 2.5423e-09
 37/229 [===>..........................] - ETA: 0s - loss: 3.4671e-06
 72/229 [========>.....................] - ETA: 0s - loss: 2.7666e-06
106/229 [============>.................] - ETA: 0s - loss: 1.9339e-06
144/229 [=================>............] - ETA: 0s - loss: 1.5013e-06
179/229 [======================>.......] - ETA: 0s - loss: 1.5680e-06
217/229 [===========================>..] - ETA: 0s - loss: 1.3994e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.5271e-06
    93. 

  93. Epoch 8/10
    94. 

  94. 
  1/229 [..............................] - ETA: 0s - loss: 1.6587e-09
 40/229 [====>.........................] - ETA: 0s - loss: 4.0421e-06
 78/229 [=========>....................] - ETA: 0s - loss: 2.4262e-06
117/229 [==============>...............] - ETA: 0s - loss: 1.6280e-06
156/229 [===================>..........] - ETA: 0s - loss: 1.3678e-06
194/229 [========================>.....] - ETA: 0s - loss: 1.4592e-06
229/229 [==============================] - ETA: 0s - loss: 1.4487e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.4487e-06
    95. 

  95. Epoch 9/10
    96. 

  96. 
  1/229 [..............................] - ETA: 0s - loss: 4.8218e-09
 38/229 [===>..........................] - ETA: 0s - loss: 1.6945e-07
 73/229 [========>.....................] - ETA: 0s - loss: 1.5750e-07
108/229 [=============>................] - ETA: 0s - loss: 3.8814e-07
145/229 [=================>............] - ETA: 0s - loss: 5.6362e-07
183/229 [======================>.......] - ETA: 0s - loss: 1.0251e-06
217/229 [===========================>..] - ETA: 0s - loss: 1.2966e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.3790e-06
    97. 

  97. Epoch 10/10
    98. 

  98. 
  1/229 [..............................] - ETA: 0s - loss: 1.3290e-09
 37/229 [===>..........................] - ETA: 0s - loss: 1.5689e-06
 72/229 [========>.....................] - ETA: 0s - loss: 1.6639e-06
108/229 [=============>................] - ETA: 0s - loss: 1.4986e-06
144/229 [=================>............] - ETA: 0s - loss: 1.4177e-06
175/229 [=====================>........] - ETA: 0s - loss: 1.3792e-06
208/229 [==========================>...] - ETA: 0s - loss: 1.2162e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.3220e-06
    99. 

  99. -> test with GAN.predict
    100. 

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

  101. GAN fn, tp: 0, 17
    102. 

  102. GAN f1 score: 1.000
    103. 

  103. GAN cohens kappa score: 1.000
    104. 

  104. 

  105. -> test with 'LR'
    106. 

  106. LR tn, fp: 571, 0
    107. 

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

  108. LR f1 score: 0.970
    109. 

  109. LR cohens kappa score: 0.969
    110. 

  110. LR average precision score: 0.994
    111. 

  111. 

  112. -> test with 'RF'
    113. 

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

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

  115. RF f1 score: 0.970
    116. 

  116. RF cohens kappa score: 0.969
    117. 

  117. 

  118. -> test with 'GB'
    119. 

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

  120. GB fn, tp: 0, 17
    121. 

  121. GB f1 score: 1.000
    122. 

  122. GB cohens kappa score: 1.000
    123. 

  123. 

  124. -> test with 'KNN'
    125. 

  125. KNN tn, fp: 570, 1
    126. 

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

  127. KNN f1 score: 0.971
    128. 

  128. KNN cohens kappa score: 0.971
    129. 

  129. 

  130. 

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

  132. -> Reset the GAN
    133. 

  133. -> Train generator for synthetic samples
    134. 

  134. -> create 2219 synthetic samples
    135. 

  135. -> retrain GAN for predict
    136. 

  136. Epoch 1/10
    137. 

  137. 
  1/229 [..............................] - ETA: 36s - loss: 9.5168e-11
 36/229 [===>..........................] - ETA: 0s - loss: 1.9788e-07 
 72/229 [========>.....................] - ETA: 0s - loss: 1.1801e-06
106/229 [============>.................] - ETA: 0s - loss: 0.0056    
138/229 [=================>............] - ETA: 0s - loss: 0.0045
172/229 [=====================>........] - ETA: 0s - loss: 0.0036
204/229 [=========================>....] - ETA: 0s - loss: 0.0030
229/229 [==============================] - 1s 2ms/step - loss: 0.0027
    138. 

  138. Epoch 2/10
    139. 

  139. 
  1/229 [..............................] - ETA: 0s - loss: 1.1005e-09
 30/229 [==>...........................] - ETA: 0s - loss: 1.0089e-06
 63/229 [=======>......................] - ETA: 0s - loss: 6.1239e-07
100/229 [============>.................] - ETA: 0s - loss: 4.0102e-07
134/229 [================>.............] - ETA: 0s - loss: 4.0501e-07
169/229 [=====================>........] - ETA: 0s - loss: 3.4671e-07
204/229 [=========================>....] - ETA: 0s - loss: 3.4768e-07
229/229 [==============================] - 0s 2ms/step - loss: 7.7263e-07
    140. 

  140. Epoch 3/10
    141. 

  141. 
  1/229 [..............................] - ETA: 0s - loss: 1.0548e-07
 17/229 [=>............................] - ETA: 0s - loss: 9.0891e-08
 33/229 [===>..........................] - ETA: 0s - loss: 2.4920e-07
 51/229 [=====>........................] - ETA: 0s - loss: 1.3914e-06
 73/229 [========>.....................] - ETA: 0s - loss: 1.0547e-06
 98/229 [===========>..................] - ETA: 0s - loss: 1.1719e-06
124/229 [===============>..............] - ETA: 0s - loss: 9.6308e-07
147/229 [==================>...........] - ETA: 0s - loss: 1.0656e-06
173/229 [=====================>........] - ETA: 0s - loss: 9.2313e-07
205/229 [=========================>....] - ETA: 0s - loss: 7.9431e-07
229/229 [==============================] - 1s 2ms/step - loss: 7.2632e-07
    142. 

  142. Epoch 4/10
    143. 

  143. 
  1/229 [..............................] - ETA: 0s - loss: 5.8016e-08
 24/229 [==>...........................] - ETA: 0s - loss: 1.8433e-07
 49/229 [=====>........................] - ETA: 0s - loss: 8.4209e-07
 74/229 [========>.....................] - ETA: 0s - loss: 6.0981e-07
104/229 [============>.................] - ETA: 0s - loss: 4.6348e-07
128/229 [===============>..............] - ETA: 0s - loss: 4.0980e-07
153/229 [===================>..........] - ETA: 0s - loss: 7.6199e-07
172/229 [=====================>........] - ETA: 0s - loss: 6.8167e-07
192/229 [========================>.....] - ETA: 0s - loss: 7.7984e-07
209/229 [==========================>...] - ETA: 0s - loss: 7.4264e-07
226/229 [============================>.] - ETA: 0s - loss: 6.8987e-07
229/229 [==============================] - 1s 2ms/step - loss: 6.9107e-07
    144. 

  144. Epoch 5/10
    145. 

  145. 
  1/229 [..............................] - ETA: 0s - loss: 5.8908e-08
 20/229 [=>............................] - ETA: 0s - loss: 2.4760e-07
 43/229 [====>.........................] - ETA: 0s - loss: 1.5811e-07
 63/229 [=======>......................] - ETA: 0s - loss: 2.5462e-07
 77/229 [=========>....................] - ETA: 0s - loss: 2.4532e-07
 94/229 [===========>..................] - ETA: 0s - loss: 2.5999e-07
110/229 [=============>................] - ETA: 0s - loss: 9.5631e-07
127/229 [===============>..............] - ETA: 0s - loss: 8.3378e-07
143/229 [=================>............] - ETA: 0s - loss: 7.4144e-07
160/229 [===================>..........] - ETA: 0s - loss: 8.5714e-07
177/229 [======================>.......] - ETA: 0s - loss: 7.8727e-07
202/229 [=========================>....] - ETA: 0s - loss: 7.2257e-07
226/229 [============================>.] - ETA: 0s - loss: 6.5704e-07
229/229 [==============================] - 1s 3ms/step - loss: 6.5045e-07
    146. 

  146. Epoch 6/10
    147. 

  147. 
  1/229 [..............................] - ETA: 0s - loss: 2.6656e-07
 28/229 [==>...........................] - ETA: 0s - loss: 1.1348e-06
 41/229 [====>.........................] - ETA: 0s - loss: 8.3614e-07
 58/229 [======>.......................] - ETA: 0s - loss: 6.9260e-07
 77/229 [=========>....................] - ETA: 0s - loss: 5.3255e-07
101/229 [============>.................] - ETA: 0s - loss: 4.5833e-07
125/229 [===============>..............] - ETA: 0s - loss: 6.6483e-07
150/229 [==================>...........] - ETA: 0s - loss: 5.7811e-07
180/229 [======================>.......] - ETA: 0s - loss: 7.7150e-07
211/229 [==========================>...] - ETA: 0s - loss: 6.7277e-07
229/229 [==============================] - 0s 2ms/step - loss: 6.2551e-07
    148. 

  148. Epoch 7/10
    149. 

  149. 
  1/229 [..............................] - ETA: 0s - loss: 2.9104e-08
 28/229 [==>...........................] - ETA: 0s - loss: 1.7608e-07
 49/229 [=====>........................] - ETA: 0s - loss: 6.2697e-07
 71/229 [========>.....................] - ETA: 0s - loss: 1.2084e-06
 94/229 [===========>..................] - ETA: 0s - loss: 9.2398e-07
120/229 [==============>...............] - ETA: 0s - loss: 7.4398e-07
144/229 [=================>............] - ETA: 0s - loss: 6.2607e-07
172/229 [=====================>........] - ETA: 0s - loss: 7.5869e-07
196/229 [========================>.....] - ETA: 0s - loss: 6.7469e-07
228/229 [============================>.] - ETA: 0s - loss: 5.9863e-07
229/229 [==============================] - 0s 2ms/step - loss: 5.9785e-07
    150. 

  150. Epoch 8/10
    151. 

  151. 
  1/229 [..............................] - ETA: 0s - loss: 9.0131e-09
 31/229 [===>..........................] - ETA: 0s - loss: 1.1759e-07
 61/229 [======>.......................] - ETA: 0s - loss: 1.4419e-07
 88/229 [==========>...................] - ETA: 0s - loss: 4.5977e-07
116/229 [==============>...............] - ETA: 0s - loss: 7.9135e-07
146/229 [==================>...........] - ETA: 0s - loss: 6.7012e-07
178/229 [======================>.......] - ETA: 0s - loss: 5.6799e-07
207/229 [==========================>...] - ETA: 0s - loss: 6.0102e-07
229/229 [==============================] - 0s 2ms/step - loss: 5.6559e-07
    152. 

  152. Epoch 9/10
    153. 

  153. 
  1/229 [..............................] - ETA: 0s - loss: 1.8962e-05
 27/229 [==>...........................] - ETA: 0s - loss: 1.7691e-06
 55/229 [======>.......................] - ETA: 0s - loss: 9.3689e-07
 84/229 [==========>...................] - ETA: 0s - loss: 7.0384e-07
110/229 [=============>................] - ETA: 0s - loss: 6.1794e-07
136/229 [================>.............] - ETA: 0s - loss: 5.4466e-07
162/229 [====================>.........] - ETA: 0s - loss: 4.7044e-07
186/229 [=======================>......] - ETA: 0s - loss: 4.2237e-07
215/229 [===========================>..] - ETA: 0s - loss: 3.7712e-07
229/229 [==============================] - 0s 2ms/step - loss: 5.4076e-07
    154. 

  154. Epoch 10/10
    155. 

  155. 
  1/229 [..............................] - ETA: 0s - loss: 2.5070e-10
 22/229 [=>............................] - ETA: 0s - loss: 1.1345e-07
 43/229 [====>.........................] - ETA: 0s - loss: 2.1944e-07
 61/229 [======>.......................] - ETA: 0s - loss: 2.5571e-07
 78/229 [=========>....................] - ETA: 0s - loss: 2.3535e-07
 93/229 [===========>..................] - ETA: 0s - loss: 2.2219e-07
101/229 [============>.................] - ETA: 0s - loss: 2.0612e-07
110/229 [=============>................] - ETA: 0s - loss: 1.9351e-07
127/229 [===============>..............] - ETA: 0s - loss: 4.8454e-07
138/229 [=================>............] - ETA: 0s - loss: 4.4766e-07
149/229 [==================>...........] - ETA: 0s - loss: 5.4378e-07
158/229 [===================>..........] - ETA: 0s - loss: 5.1804e-07
168/229 [=====================>........] - ETA: 0s - loss: 4.8912e-07
179/229 [======================>.......] - ETA: 0s - loss: 4.6593e-07
195/229 [========================>.....] - ETA: 0s - loss: 4.4890e-07
212/229 [==========================>...] - ETA: 0s - loss: 5.4620e-07
229/229 [==============================] - ETA: 0s - loss: 5.1812e-07
229/229 [==============================] - 1s 4ms/step - loss: 5.1812e-07
    156. 

  156. -> test with GAN.predict
    157. 

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

  158. GAN fn, tp: 0, 17
    159. 

  159. GAN f1 score: 1.000
    160. 

  160. GAN cohens kappa score: 1.000
    161. 

  161. 

  162. -> test with 'LR'
    163. 

  163. LR tn, fp: 571, 0
    164. 

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

  165. LR f1 score: 1.000
    166. 

  166. LR cohens kappa score: 1.000
    167. 

  167. LR average precision score: 1.000
    168. 

  168. 

  169. -> test with 'RF'
    170. 

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

  171. RF fn, tp: 0, 17
    172. 

  172. RF f1 score: 1.000
    173. 

  173. RF cohens kappa score: 1.000
    174. 

  174. 

  175. -> test with 'GB'
    176. 

  176. GB tn, fp: 571, 0
    177. 

  177. GB fn, tp: 0, 17
    178. 

  178. GB f1 score: 1.000
    179. 

  179. GB cohens kappa score: 1.000
    180. 

  180. 

  181. -> test with 'KNN'
    182. 

  182. KNN tn, fp: 568, 3
    183. 

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

  184. KNN f1 score: 0.919
    185. 

  185. KNN cohens kappa score: 0.916
    186. 

  186. 

  187. 

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

  189. -> Reset the GAN
    190. 

  190. -> Train generator for synthetic samples
    191. 

  191. -> create 2219 synthetic samples
    192. 

  192. -> retrain GAN for predict
    193. 

  193. Epoch 1/10
    194. 

  194. 
  1/229 [..............................] - ETA: 35s - loss: 1.8944e-10
 43/229 [====>.........................] - ETA: 0s - loss: 0.0318     
 85/229 [==========>...................] - ETA: 0s - loss: 0.0161
128/229 [===============>..............] - ETA: 0s - loss: 0.0107
170/229 [=====================>........] - ETA: 0s - loss: 0.0080
212/229 [==========================>...] - ETA: 0s - loss: 0.0065
229/229 [==============================] - 0s 1ms/step - loss: 0.0060
    195. 

  195. Epoch 2/10
    196. 

  196. 
  1/229 [..............................] - ETA: 0s - loss: 2.5972e-09
 43/229 [====>.........................] - ETA: 0s - loss: 9.6967e-08
 85/229 [==========>...................] - ETA: 0s - loss: 2.8767e-06
126/229 [===============>..............] - ETA: 0s - loss: 2.0252e-06
167/229 [====================>.........] - ETA: 0s - loss: 1.7434e-06
207/229 [==========================>...] - ETA: 0s - loss: 1.0924e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2900e-05
    197. 

  197. Epoch 3/10
    198. 

  198. 
  1/229 [..............................] - ETA: 0s - loss: 2.6871e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.3260e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.0878e-05
119/229 [==============>...............] - ETA: 0s - loss: 8.7537e-06
155/229 [===================>..........] - ETA: 0s - loss: 6.7405e-06
193/229 [========================>.....] - ETA: 0s - loss: 5.4567e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.9317e-06
    199. 

  199. Epoch 4/10
    200. 

  200. 
  1/229 [..............................] - ETA: 0s - loss: 1.3046e-09
 39/229 [====>.........................] - ETA: 0s - loss: 7.9093e-06
 75/229 [========>.....................] - ETA: 0s - loss: 6.8057e-06
113/229 [=============>................] - ETA: 0s - loss: 7.2889e-06
150/229 [==================>...........] - ETA: 0s - loss: 8.0079e-06
188/229 [=======================>......] - ETA: 0s - loss: 6.4602e-06
228/229 [============================>.] - ETA: 0s - loss: 5.6530e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.6456e-06
    201. 

  201. Epoch 5/10
    202. 

  202. 
  1/229 [..............................] - ETA: 0s - loss: 1.4350e-07
 35/229 [===>..........................] - ETA: 0s - loss: 6.6844e-06
 71/229 [========>.....................] - ETA: 0s - loss: 7.1149e-06
105/229 [============>.................] - ETA: 0s - loss: 6.0975e-06
143/229 [=================>............] - ETA: 0s - loss: 4.8670e-06
178/229 [======================>.......] - ETA: 0s - loss: 4.3928e-06
216/229 [===========================>..] - ETA: 0s - loss: 4.0110e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.9424e-06
    203. 

  203. Epoch 6/10
    204. 

  204. 
  1/229 [..............................] - ETA: 0s - loss: 5.4184e-09
 37/229 [===>..........................] - ETA: 0s - loss: 6.6339e-06
 70/229 [========>.....................] - ETA: 0s - loss: 5.9553e-06
105/229 [============>.................] - ETA: 0s - loss: 5.0990e-06
139/229 [=================>............] - ETA: 0s - loss: 4.2366e-06
171/229 [=====================>........] - ETA: 0s - loss: 3.4567e-06
202/229 [=========================>....] - ETA: 0s - loss: 4.7505e-06
229/229 [==============================] - 0s 2ms/step - loss: 4.5340e-06
    205. 

  205. Epoch 7/10
    206. 

  206. 
  1/229 [..............................] - ETA: 0s - loss: 1.0976e-06
 34/229 [===>..........................] - ETA: 0s - loss: 3.1786e-07
 67/229 [=======>......................] - ETA: 0s - loss: 3.8782e-06
 97/229 [===========>..................] - ETA: 0s - loss: 2.9512e-06
133/229 [================>.............] - ETA: 0s - loss: 2.5682e-06
172/229 [=====================>........] - ETA: 0s - loss: 5.1907e-06
207/229 [==========================>...] - ETA: 0s - loss: 4.4829e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.0707e-06
    207. 

  207. Epoch 8/10
    208. 

  208. 
  1/229 [..............................] - ETA: 0s - loss: 3.6264e-08
 37/229 [===>..........................] - ETA: 0s - loss: 2.8674e-06
 72/229 [========>.....................] - ETA: 0s - loss: 5.7183e-06
108/229 [=============>................] - ETA: 0s - loss: 4.8832e-06
143/229 [=================>............] - ETA: 0s - loss: 4.2089e-06
176/229 [======================>.......] - ETA: 0s - loss: 3.5353e-06
212/229 [==========================>...] - ETA: 0s - loss: 4.1563e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.8619e-06
    209. 

  209. Epoch 9/10
    210. 

  210. 
  1/229 [..............................] - ETA: 0s - loss: 1.6394e-07
 41/229 [====>.........................] - ETA: 0s - loss: 2.9556e-06
 77/229 [=========>....................] - ETA: 0s - loss: 1.7128e-06
111/229 [=============>................] - ETA: 0s - loss: 1.7963e-06
146/229 [==================>...........] - ETA: 0s - loss: 2.8137e-06
185/229 [=======================>......] - ETA: 0s - loss: 3.9404e-06
220/229 [===========================>..] - ETA: 0s - loss: 3.7178e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.5850e-06
    211. 

  211. Epoch 10/10
    212. 

  212. 
  1/229 [..............................] - ETA: 0s - loss: 3.2267e-09
 36/229 [===>..........................] - ETA: 0s - loss: 7.5983e-06
 72/229 [========>.....................] - ETA: 0s - loss: 7.0242e-06
107/229 [=============>................] - ETA: 0s - loss: 4.9399e-06
144/229 [=================>............] - ETA: 0s - loss: 4.3988e-06
178/229 [======================>.......] - ETA: 0s - loss: 3.8450e-06
210/229 [==========================>...] - ETA: 0s - loss: 3.6784e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.3914e-06
    213. 

  213. -> test with GAN.predict
    214. 

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

  215. GAN fn, tp: 0, 17
    216. 

  216. GAN f1 score: 1.000
    217. 

  217. GAN cohens kappa score: 1.000
    218. 

  218. 

  219. -> test with 'LR'
    220. 

  220. LR tn, fp: 570, 1
    221. 

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

  222. LR f1 score: 0.971
    223. 

  223. LR cohens kappa score: 0.971
    224. 

  224. LR average precision score: 1.000
    225. 

  225. 

  226. -> test with 'RF'
    227. 

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

  228. RF fn, tp: 0, 17
    229. 

  229. RF f1 score: 1.000
    230. 

  230. RF cohens kappa score: 1.000
    231. 

  231. 

  232. -> test with 'GB'
    233. 

  233. GB tn, fp: 571, 0
    234. 

  234. GB fn, tp: 0, 17
    235. 

  235. GB f1 score: 1.000
    236. 

  236. GB cohens kappa score: 1.000
    237. 

  237. 

  238. -> test with 'KNN'
    239. 

  239. KNN tn, fp: 567, 4
    240. 

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

  241. KNN f1 score: 0.895
    242. 

  242. KNN cohens kappa score: 0.891
    243. 

  243. 

  244. 

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

  246. -> Reset the GAN
    247. 

  247. -> Train generator for synthetic samples
    248. 

  248. -> create 2216 synthetic samples
    249. 

  249. -> retrain GAN for predict
    250. 

  250. Epoch 1/10
    251. 

  251. 
  1/229 [..............................] - ETA: 44s - loss: 3.9599e-07
 39/229 [====>.........................] - ETA: 0s - loss: 6.0371e-06 
 77/229 [=========>....................] - ETA: 0s - loss: 1.5870e-05
114/229 [=============>................] - ETA: 0s - loss: 0.0024    
151/229 [==================>...........] - ETA: 0s - loss: 0.0043
185/229 [=======================>......] - ETA: 0s - loss: 0.0036
224/229 [============================>.] - ETA: 0s - loss: 0.0031
229/229 [==============================] - 1s 1ms/step - loss: 0.0030
    252. 

  252. Epoch 2/10
    253. 

  253. 
  1/229 [..............................] - ETA: 0s - loss: 1.1020e-07
 42/229 [====>.........................] - ETA: 0s - loss: 1.5699e-06
 76/229 [========>.....................] - ETA: 0s - loss: 1.3645e-06
110/229 [=============>................] - ETA: 0s - loss: 9.9409e-07
147/229 [==================>...........] - ETA: 0s - loss: 7.5816e-07
182/229 [======================>.......] - ETA: 0s - loss: 8.1536e-07
220/229 [===========================>..] - ETA: 0s - loss: 6.8752e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.0528e-07
    254. 

  254. Epoch 3/10
    255. 

  255. 
  1/229 [..............................] - ETA: 0s - loss: 1.7126e-09
 38/229 [===>..........................] - ETA: 0s - loss: 1.4357e-06
 73/229 [========>.....................] - ETA: 0s - loss: 8.4601e-07
111/229 [=============>................] - ETA: 0s - loss: 5.7384e-07
147/229 [==================>...........] - ETA: 0s - loss: 7.0230e-07
183/229 [======================>.......] - ETA: 0s - loss: 7.6138e-07
219/229 [===========================>..] - ETA: 0s - loss: 6.9749e-07
229/229 [==============================] - 0s 1ms/step - loss: 6.7600e-07
    256. 

  256. Epoch 4/10
    257. 

  257. 
  1/229 [..............................] - ETA: 0s - loss: 2.3287e-07
 35/229 [===>..........................] - ETA: 0s - loss: 2.0820e-07
 72/229 [========>.....................] - ETA: 0s - loss: 2.4860e-07
107/229 [=============>................] - ETA: 0s - loss: 3.1795e-07
141/229 [=================>............] - ETA: 0s - loss: 2.4524e-07
176/229 [======================>.......] - ETA: 0s - loss: 5.2006e-07
212/229 [==========================>...] - ETA: 0s - loss: 6.8795e-07
229/229 [==============================] - 0s 1ms/step - loss: 6.4690e-07
    258. 

  258. Epoch 5/10
    259. 

  259. 
  1/229 [..............................] - ETA: 0s - loss: 3.1778e-10
 35/229 [===>..........................] - ETA: 0s - loss: 1.8233e-06
 67/229 [=======>......................] - ETA: 0s - loss: 1.0238e-06
 97/229 [===========>..................] - ETA: 0s - loss: 7.4279e-07
133/229 [================>.............] - ETA: 0s - loss: 5.5076e-07
168/229 [=====================>........] - ETA: 0s - loss: 6.4587e-07
204/229 [=========================>....] - ETA: 0s - loss: 5.4058e-07
229/229 [==============================] - 0s 2ms/step - loss: 6.1780e-07
    260. 

  260. Epoch 6/10
    261. 

  261. 
  1/229 [..............................] - ETA: 0s - loss: 2.1896e-09
 37/229 [===>..........................] - ETA: 0s - loss: 6.7889e-08
 74/229 [========>.....................] - ETA: 0s - loss: 1.1727e-07
107/229 [=============>................] - ETA: 0s - loss: 1.0713e-07
143/229 [=================>............] - ETA: 0s - loss: 4.3133e-07
177/229 [======================>.......] - ETA: 0s - loss: 4.0415e-07
213/229 [==========================>...] - ETA: 0s - loss: 6.2939e-07
229/229 [==============================] - 0s 1ms/step - loss: 5.8983e-07
    262. 

  262. Epoch 7/10
    263. 

  263. 
  1/229 [..............................] - ETA: 0s - loss: 1.9689e-11
 37/229 [===>..........................] - ETA: 0s - loss: 7.0726e-07
 72/229 [========>.....................] - ETA: 0s - loss: 1.1161e-06
107/229 [=============>................] - ETA: 0s - loss: 7.8342e-07
142/229 [=================>............] - ETA: 0s - loss: 7.6200e-07
178/229 [======================>.......] - ETA: 0s - loss: 6.2004e-07
214/229 [===========================>..] - ETA: 0s - loss: 5.8398e-07
229/229 [==============================] - 0s 1ms/step - loss: 5.6148e-07
    264. 

  264. Epoch 8/10
    265. 

  265. 
  1/229 [..............................] - ETA: 0s - loss: 1.9058e-07
 35/229 [===>..........................] - ETA: 0s - loss: 1.1921e-06
 69/229 [========>.....................] - ETA: 0s - loss: 6.9161e-07
106/229 [============>.................] - ETA: 0s - loss: 5.5534e-07
142/229 [=================>............] - ETA: 0s - loss: 6.3701e-07
178/229 [======================>.......] - ETA: 0s - loss: 5.2260e-07
215/229 [===========================>..] - ETA: 0s - loss: 4.7214e-07
229/229 [==============================] - 0s 1ms/step - loss: 5.3496e-07
    266. 

  266. Epoch 9/10
    267. 

  267. 
  1/229 [..............................] - ETA: 0s - loss: 1.8949e-08
 41/229 [====>.........................] - ETA: 0s - loss: 6.1121e-08
 76/229 [========>.....................] - ETA: 0s - loss: 1.0156e-07
113/229 [=============>................] - ETA: 0s - loss: 5.8255e-07
149/229 [==================>...........] - ETA: 0s - loss: 6.3773e-07
184/229 [=======================>......] - ETA: 0s - loss: 5.4369e-07
220/229 [===========================>..] - ETA: 0s - loss: 5.2920e-07
229/229 [==============================] - 0s 1ms/step - loss: 5.1054e-07
    268. 

  268. Epoch 10/10
    269. 

  269. 
  1/229 [..............................] - ETA: 0s - loss: 4.6559e-07
 37/229 [===>..........................] - ETA: 0s - loss: 3.7770e-08
 72/229 [========>.....................] - ETA: 0s - loss: 4.1294e-07
108/229 [=============>................] - ETA: 0s - loss: 6.0026e-07
142/229 [=================>............] - ETA: 0s - loss: 4.9465e-07
182/229 [======================>.......] - ETA: 0s - loss: 5.7834e-07
219/229 [===========================>..] - ETA: 0s - loss: 5.0128e-07
229/229 [==============================] - 0s 1ms/step - loss: 4.8357e-07
    270. 

  270. -> test with GAN.predict
    271. 

  271. GAN tn, fp: 569, 1
    272. 

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

  273. GAN f1 score: 0.963
    274. 

  274. GAN cohens kappa score: 0.962
    275. 

  275. 

  276. -> test with 'LR'
    277. 

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

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

  279. LR f1 score: 0.828
    280. 

  280. LR cohens kappa score: 0.823
    281. 

  281. LR average precision score: 0.911
    282. 

  282. 

  283. -> test with 'RF'
    284. 

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

  285. RF fn, tp: 0, 13
    286. 

  286. RF f1 score: 1.000
    287. 

  287. RF cohens kappa score: 1.000
    288. 

  288. 

  289. -> test with 'GB'
    290. 

  290. GB tn, fp: 568, 2
    291. 

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

  292. GB f1 score: 0.929
    293. 

  293. GB cohens kappa score: 0.927
    294. 

  294. 

  295. -> test with 'KNN'
    296. 

  296. KNN tn, fp: 568, 2
    297. 

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

  298. KNN f1 score: 0.929
    299. 

  299. KNN cohens kappa score: 0.927
    300. 

  300. 

  301. 

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

  303. -> Shuffling data
    304. 

  304. -> Spliting data to slices
    305. 

  305. 

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

  307. -> Reset the GAN
    308. 

  308. -> Train generator for synthetic samples
    309. 

  309. -> create 2219 synthetic samples
    310. 

  310. -> retrain GAN for predict
    311. 

  311. Epoch 1/10
    312. 

  312. 
  1/229 [..............................] - ETA: 39s - loss: 7.0920e-11
 38/229 [===>..........................] - ETA: 0s - loss: 2.6953e-06 
 75/229 [========>.....................] - ETA: 0s - loss: 2.9808e-04
111/229 [=============>................] - ETA: 0s - loss: 2.0141e-04
147/229 [==================>...........] - ETA: 0s - loss: 1.5209e-04
182/229 [======================>.......] - ETA: 0s - loss: 0.0016    
218/229 [===========================>..] - ETA: 0s - loss: 0.0019
229/229 [==============================] - 0s 1ms/step - loss: 0.0018
    313. 

  313. Epoch 2/10
    314. 

  314. 
  1/229 [..............................] - ETA: 0s - loss: 1.8156e-10
 37/229 [===>..........................] - ETA: 0s - loss: 4.8340e-06
 73/229 [========>.....................] - ETA: 0s - loss: 3.0067e-06
110/229 [=============>................] - ETA: 0s - loss: 1.4709e-05
146/229 [==================>...........] - ETA: 0s - loss: 1.1083e-05
179/229 [======================>.......] - ETA: 0s - loss: 9.2212e-06
213/229 [==========================>...] - ETA: 0s - loss: 2.1179e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9812e-05
    315. 

  315. Epoch 3/10
    316. 

  316. 
  1/229 [..............................] - ETA: 0s - loss: 6.0313e-11
 38/229 [===>..........................] - ETA: 0s - loss: 4.2438e-06
 73/229 [========>.....................] - ETA: 0s - loss: 2.2256e-06
110/229 [=============>................] - ETA: 0s - loss: 7.2072e-06
147/229 [==================>...........] - ETA: 0s - loss: 5.5525e-06
183/229 [======================>.......] - ETA: 0s - loss: 4.4797e-06
218/229 [===========================>..] - ETA: 0s - loss: 3.7801e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.6098e-06
    317. 

  317. Epoch 4/10
    318. 

  318. 
  1/229 [..............................] - ETA: 0s - loss: 1.1764e-10
 36/229 [===>..........................] - ETA: 0s - loss: 5.3396e-07
 72/229 [========>.....................] - ETA: 0s - loss: 7.2404e-06
108/229 [=============>................] - ETA: 0s - loss: 4.8357e-06
144/229 [=================>............] - ETA: 0s - loss: 3.6321e-06
179/229 [======================>.......] - ETA: 0s - loss: 2.9358e-06
219/229 [===========================>..] - ETA: 0s - loss: 2.4067e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.3177e-06
    319. 

  319. Epoch 5/10
    320. 

  320. 
  1/229 [..............................] - ETA: 0s - loss: 1.9805e-10
 34/229 [===>..........................] - ETA: 0s - loss: 4.2320e-06
 65/229 [=======>......................] - ETA: 0s - loss: 2.2396e-06
101/229 [============>.................] - ETA: 0s - loss: 1.5473e-06
137/229 [================>.............] - ETA: 0s - loss: 1.1584e-06
170/229 [=====================>........] - ETA: 0s - loss: 1.8155e-06
204/229 [=========================>....] - ETA: 0s - loss: 1.5187e-06
229/229 [==============================] - 0s 2ms/step - loss: 1.3693e-06
    321. 

  321. Epoch 6/10
    322. 

  322. 
  1/229 [..............................] - ETA: 0s - loss: 9.6584e-10
 35/229 [===>..........................] - ETA: 0s - loss: 1.0148e-07
 51/229 [=====>........................] - ETA: 0s - loss: 8.3010e-08
 72/229 [========>.....................] - ETA: 0s - loss: 8.6472e-07
 94/229 [===========>..................] - ETA: 0s - loss: 6.6333e-07
116/229 [==============>...............] - ETA: 0s - loss: 1.6038e-06
147/229 [==================>...........] - ETA: 0s - loss: 1.2716e-06
178/229 [======================>.......] - ETA: 0s - loss: 1.0976e-06
208/229 [==========================>...] - ETA: 0s - loss: 9.5586e-07
229/229 [==============================] - 0s 2ms/step - loss: 8.7970e-07
    323. 

  323. Epoch 7/10
    324. 

  324. 
  1/229 [..............................] - ETA: 0s - loss: 1.5235e-12
 32/229 [===>..........................] - ETA: 0s - loss: 2.4669e-06
 64/229 [=======>......................] - ETA: 0s - loss: 1.2658e-06
 88/229 [==========>...................] - ETA: 0s - loss: 1.2002e-06
112/229 [=============>................] - ETA: 0s - loss: 9.5567e-07
135/229 [================>.............] - ETA: 0s - loss: 7.9625e-07
157/229 [===================>..........] - ETA: 0s - loss: 7.2015e-07
181/229 [======================>.......] - ETA: 0s - loss: 8.1551e-07
209/229 [==========================>...] - ETA: 0s - loss: 7.0904e-07
229/229 [==============================] - 0s 2ms/step - loss: 6.5060e-07
    325. 

  325. Epoch 8/10
    326. 

  326. 
  1/229 [..............................] - ETA: 0s - loss: 8.9898e-11
 35/229 [===>..........................] - ETA: 0s - loss: 1.3255e-07
 65/229 [=======>......................] - ETA: 0s - loss: 1.0366e-06
 92/229 [===========>..................] - ETA: 0s - loss: 7.7111e-07
114/229 [=============>................] - ETA: 0s - loss: 8.6402e-07
135/229 [================>.............] - ETA: 0s - loss: 7.3677e-07
159/229 [===================>..........] - ETA: 0s - loss: 6.3420e-07
180/229 [======================>.......] - ETA: 0s - loss: 6.4097e-07
199/229 [=========================>....] - ETA: 0s - loss: 5.8265e-07
213/229 [==========================>...] - ETA: 0s - loss: 5.5236e-07
225/229 [============================>.] - ETA: 0s - loss: 5.2689e-07
229/229 [==============================] - 1s 2ms/step - loss: 5.1930e-07
    327. 

  327. Epoch 9/10
    328. 

  328. 
  1/229 [..............................] - ETA: 0s - loss: 1.9300e-10
 14/229 [>.............................] - ETA: 0s - loss: 1.7544e-06
 33/229 [===>..........................] - ETA: 0s - loss: 9.1544e-07
 52/229 [=====>........................] - ETA: 0s - loss: 6.7184e-07
 76/229 [========>.....................] - ETA: 0s - loss: 4.6596e-07
108/229 [=============>................] - ETA: 0s - loss: 3.3613e-07
133/229 [================>.............] - ETA: 0s - loss: 4.0143e-07
159/229 [===================>..........] - ETA: 0s - loss: 3.4261e-07
172/229 [=====================>........] - ETA: 0s - loss: 5.5497e-07
189/229 [=======================>......] - ETA: 0s - loss: 5.2168e-07
210/229 [==========================>...] - ETA: 0s - loss: 4.6998e-07
229/229 [==============================] - 1s 2ms/step - loss: 4.3271e-07
    329. 

  329. Epoch 10/10
    330. 

  330. 
  1/229 [..............................] - ETA: 0s - loss: 4.0723e-09
 30/229 [==>...........................] - ETA: 0s - loss: 6.7535e-07
 57/229 [======>.......................] - ETA: 0s - loss: 4.3161e-07
 89/229 [==========>...................] - ETA: 0s - loss: 2.9719e-07
119/229 [==============>...............] - ETA: 0s - loss: 2.3265e-07
150/229 [==================>...........] - ETA: 0s - loss: 2.5148e-07
175/229 [=====================>........] - ETA: 0s - loss: 4.1976e-07
198/229 [========================>.....] - ETA: 0s - loss: 4.2081e-07
221/229 [===========================>..] - ETA: 0s - loss: 3.8352e-07
229/229 [==============================] - 0s 2ms/step - loss: 3.7222e-07
    331. 

  331. -> test with GAN.predict
    332. 

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

  333. GAN fn, tp: 0, 17
    334. 

  334. GAN f1 score: 1.000
    335. 

  335. GAN cohens kappa score: 1.000
    336. 

  336. 

  337. -> test with 'LR'
    338. 

  338. LR tn, fp: 571, 0
    339. 

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

  340. LR f1 score: 1.000
    341. 

  341. LR cohens kappa score: 1.000
    342. 

  342. LR average precision score: 1.000
    343. 

  343. 

  344. -> test with 'RF'
    345. 

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

  346. RF fn, tp: 0, 17
    347. 

  347. RF f1 score: 1.000
    348. 

  348. RF cohens kappa score: 1.000
    349. 

  349. 

  350. -> test with 'GB'
    351. 

  351. GB tn, fp: 571, 0
    352. 

  352. GB fn, tp: 0, 17
    353. 

  353. GB f1 score: 1.000
    354. 

  354. GB cohens kappa score: 1.000
    355. 

  355. 

  356. -> test with 'KNN'
    357. 

  357. KNN tn, fp: 571, 0
    358. 

  358. KNN fn, tp: 0, 17
    359. 

  359. KNN f1 score: 1.000
    360. 

  360. KNN cohens kappa score: 1.000
    361. 

  361. 

  362. 

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

  364. -> Reset the GAN
    365. 

  365. -> Train generator for synthetic samples
    366. 

  366. -> create 2219 synthetic samples
    367. 

  367. -> retrain GAN for predict
    368. 

  368. Epoch 1/10
    369. 

  369. 
  1/229 [..............................] - ETA: 58s - loss: 1.2299e-09
 21/229 [=>............................] - ETA: 0s - loss: 3.8796e-09 
 37/229 [===>..........................] - ETA: 0s - loss: 3.4119e-07
 66/229 [=======>......................] - ETA: 0s - loss: 0.0014    
 97/229 [===========>..................] - ETA: 0s - loss: 9.9419e-04
126/229 [===============>..............] - ETA: 0s - loss: 8.7136e-04
155/229 [===================>..........] - ETA: 0s - loss: 8.6036e-04
183/229 [======================>.......] - ETA: 0s - loss: 7.3255e-04
217/229 [===========================>..] - ETA: 0s - loss: 6.1781e-04
229/229 [==============================] - 1s 2ms/step - loss: 5.8725e-04
    370. 

  370. Epoch 2/10
    371. 

  371. 
  1/229 [..............................] - ETA: 0s - loss: 5.4828e-09
 30/229 [==>...........................] - ETA: 0s - loss: 1.9893e-06
 62/229 [=======>......................] - ETA: 0s - loss: 1.0887e-06
 87/229 [==========>...................] - ETA: 0s - loss: 2.4901e-04
110/229 [=============>................] - ETA: 0s - loss: 2.5141e-04
132/229 [================>.............] - ETA: 0s - loss: 2.1616e-04
154/229 [===================>..........] - ETA: 0s - loss: 1.8536e-04
178/229 [======================>.......] - ETA: 0s - loss: 1.7052e-04
201/229 [=========================>....] - ETA: 0s - loss: 1.5964e-04
224/229 [============================>.] - ETA: 0s - loss: 1.4406e-04
229/229 [==============================] - 0s 2ms/step - loss: 1.4135e-04
    372. 

  372. Epoch 3/10
    373. 

  373. 
  1/229 [..............................] - ETA: 0s - loss: 3.8285e-08
 23/229 [==>...........................] - ETA: 0s - loss: 6.9532e-06
 44/229 [====>.........................] - ETA: 0s - loss: 5.1411e-06
 62/229 [=======>......................] - ETA: 0s - loss: 3.6748e-06
 79/229 [=========>....................] - ETA: 0s - loss: 3.2215e-06
 96/229 [===========>..................] - ETA: 0s - loss: 2.6626e-06
110/229 [=============>................] - ETA: 0s - loss: 3.5259e-06
128/229 [===============>..............] - ETA: 0s - loss: 7.0266e-06
145/229 [=================>............] - ETA: 0s - loss: 6.5934e-06
163/229 [====================>.........] - ETA: 0s - loss: 5.9511e-06
180/229 [======================>.......] - ETA: 0s - loss: 5.4623e-06
194/229 [========================>.....] - ETA: 0s - loss: 5.1893e-06
211/229 [==========================>...] - ETA: 0s - loss: 4.9537e-06
229/229 [==============================] - 1s 3ms/step - loss: 4.6664e-06
    374. 

  374. Epoch 4/10
    375. 

  375. 
  1/229 [..............................] - ETA: 0s - loss: 2.0007e-08
 24/229 [==>...........................] - ETA: 0s - loss: 3.2869e-07
 46/229 [=====>........................] - ETA: 0s - loss: 1.8603e-07
 66/229 [=======>......................] - ETA: 0s - loss: 1.5989e-07
 86/229 [==========>...................] - ETA: 0s - loss: 9.4909e-07
110/229 [=============>................] - ETA: 0s - loss: 1.3400e-06
132/229 [================>.............] - ETA: 0s - loss: 1.1386e-06
157/229 [===================>..........] - ETA: 0s - loss: 3.5310e-06
186/229 [=======================>......] - ETA: 0s - loss: 3.7644e-06
217/229 [===========================>..] - ETA: 0s - loss: 3.4557e-06
229/229 [==============================] - 0s 2ms/step - loss: 3.2913e-06
    376. 

  376. Epoch 5/10
    377. 

  377. 
  1/229 [..............................] - ETA: 0s - loss: 4.4735e-09
 30/229 [==>...........................] - ETA: 0s - loss: 7.0926e-06
 54/229 [======>.......................] - ETA: 0s - loss: 4.0327e-06
 80/229 [=========>....................] - ETA: 0s - loss: 5.5192e-06
 99/229 [===========>..................] - ETA: 0s - loss: 4.8334e-06
124/229 [===============>..............] - ETA: 0s - loss: 3.8839e-06
148/229 [==================>...........] - ETA: 0s - loss: 3.3035e-06
169/229 [=====================>........] - ETA: 0s - loss: 2.9355e-06
191/229 [========================>.....] - ETA: 0s - loss: 2.7928e-06
217/229 [===========================>..] - ETA: 0s - loss: 2.7346e-06
229/229 [==============================] - 0s 2ms/step - loss: 2.6812e-06
    378. 

  378. Epoch 6/10
    379. 

  379. 
  1/229 [..............................] - ETA: 0s - loss: 2.0936e-09
 30/229 [==>...........................] - ETA: 0s - loss: 2.2300e-06
 57/229 [======>.......................] - ETA: 0s - loss: 4.6023e-06
 86/229 [==========>...................] - ETA: 0s - loss: 3.6364e-06
115/229 [==============>...............] - ETA: 0s - loss: 2.7787e-06
147/229 [==================>...........] - ETA: 0s - loss: 2.6217e-06
173/229 [=====================>........] - ETA: 0s - loss: 2.6266e-06
199/229 [=========================>....] - ETA: 0s - loss: 2.3549e-06
229/229 [==============================] - 0s 2ms/step - loss: 2.3672e-06
    380. 

  380. Epoch 7/10
    381. 

  381. 
  1/229 [..............................] - ETA: 0s - loss: 1.3540e-05
 33/229 [===>..........................] - ETA: 0s - loss: 1.6376e-06
 63/229 [=======>......................] - ETA: 0s - loss: 3.6498e-06
 89/229 [==========>...................] - ETA: 0s - loss: 3.2260e-06
115/229 [==============>...............] - ETA: 0s - loss: 2.7020e-06
147/229 [==================>...........] - ETA: 0s - loss: 2.5398e-06
175/229 [=====================>........] - ETA: 0s - loss: 2.4435e-06
207/229 [==========================>...] - ETA: 0s - loss: 2.1904e-06
229/229 [==============================] - 0s 2ms/step - loss: 2.1896e-06
    382. 

  382. Epoch 8/10
    383. 

  383. 
  1/229 [..............................] - ETA: 0s - loss: 2.4450e-09
 33/229 [===>..........................] - ETA: 0s - loss: 1.0998e-06
 59/229 [======>.......................] - ETA: 0s - loss: 1.1983e-06
 80/229 [=========>....................] - ETA: 0s - loss: 1.0451e-06
 90/229 [==========>...................] - ETA: 0s - loss: 1.3401e-06
105/229 [============>.................] - ETA: 0s - loss: 1.1685e-06
114/229 [=============>................] - ETA: 0s - loss: 1.0775e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.1148e-06
131/229 [================>.............] - ETA: 0s - loss: 1.0474e-06
138/229 [=================>............] - ETA: 0s - loss: 1.1943e-06
155/229 [===================>..........] - ETA: 0s - loss: 1.3879e-06
172/229 [=====================>........] - ETA: 0s - loss: 2.2888e-06
189/229 [=======================>......] - ETA: 0s - loss: 2.1898e-06
206/229 [=========================>....] - ETA: 0s - loss: 2.0105e-06
223/229 [============================>.] - ETA: 0s - loss: 2.0903e-06
229/229 [==============================] - 1s 3ms/step - loss: 2.0579e-06
    384. 

  384. Epoch 9/10
    385. 

  385. 
  1/229 [..............................] - ETA: 0s - loss: 8.1378e-09
 19/229 [=>............................] - ETA: 0s - loss: 2.3083e-07
 38/229 [===>..........................] - ETA: 0s - loss: 5.0847e-07
 54/229 [======>.......................] - ETA: 0s - loss: 4.8853e-07
 69/229 [========>.....................] - ETA: 0s - loss: 4.1787e-07
 81/229 [=========>....................] - ETA: 0s - loss: 6.1420e-07
 96/229 [===========>..................] - ETA: 0s - loss: 8.0991e-07
117/229 [==============>...............] - ETA: 0s - loss: 9.3654e-07
124/229 [===============>..............] - ETA: 0s - loss: 8.8443e-07
141/229 [=================>............] - ETA: 0s - loss: 8.4158e-07
149/229 [==================>...........] - ETA: 0s - loss: 1.7010e-06
167/229 [====================>.........] - ETA: 0s - loss: 1.7509e-06
190/229 [=======================>......] - ETA: 0s - loss: 1.7614e-06
212/229 [==========================>...] - ETA: 0s - loss: 1.8315e-06
229/229 [==============================] - 1s 3ms/step - loss: 1.9734e-06
    386. 

  386. Epoch 10/10
    387. 

  387. 
  1/229 [..............................] - ETA: 0s - loss: 6.5950e-09
 20/229 [=>............................] - ETA: 0s - loss: 1.1229e-06
 42/229 [====>.........................] - ETA: 0s - loss: 1.3743e-06
 62/229 [=======>......................] - ETA: 0s - loss: 2.0960e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.7042e-06
104/229 [============>.................] - ETA: 0s - loss: 1.5115e-06
120/229 [==============>...............] - ETA: 0s - loss: 1.5900e-06
140/229 [=================>............] - ETA: 0s - loss: 2.1738e-06
168/229 [=====================>........] - ETA: 0s - loss: 1.9641e-06
190/229 [=======================>......] - ETA: 0s - loss: 1.7861e-06
215/229 [===========================>..] - ETA: 0s - loss: 2.0186e-06
229/229 [==============================] - 1s 2ms/step - loss: 1.9034e-06
    388. 

  388. -> test with GAN.predict
    389. 

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

  390. GAN fn, tp: 0, 17
    391. 

  391. GAN f1 score: 1.000
    392. 

  392. GAN cohens kappa score: 1.000
    393. 

  393. 

  394. -> test with 'LR'
    395. 

  395. LR tn, fp: 571, 0
    396. 

  396. LR fn, tp: 0, 17
    397. 

  397. LR f1 score: 1.000
    398. 

  398. LR cohens kappa score: 1.000
    399. 

  399. LR average precision score: 1.000
    400. 

  400. 

  401. -> test with 'RF'
    402. 

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

  403. RF fn, tp: 0, 17
    404. 

  404. RF f1 score: 1.000
    405. 

  405. RF cohens kappa score: 1.000
    406. 

  406. 

  407. -> test with 'GB'
    408. 

  408. GB tn, fp: 571, 0
    409. 

  409. GB fn, tp: 0, 17
    410. 

  410. GB f1 score: 1.000
    411. 

  411. GB cohens kappa score: 1.000
    412. 

  412. 

  413. -> test with 'KNN'
    414. 

  414. KNN tn, fp: 570, 1
    415. 

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

  416. KNN f1 score: 0.971
    417. 

  417. KNN cohens kappa score: 0.971
    418. 

  418. 

  419. 

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

  421. -> Reset the GAN
    422. 

  422. -> Train generator for synthetic samples
    423. 

  423. -> create 2219 synthetic samples
    424. 

  424. -> retrain GAN for predict
    425. 

  425. Epoch 1/10
    426. 

  426. 
  1/229 [..............................] - ETA: 1:00 - loss: 4.9527e-06
 15/229 [>.............................] - ETA: 0s - loss: 1.5374e-06  
 32/229 [===>..........................] - ETA: 0s - loss: 7.9170e-05
 52/229 [=====>........................] - ETA: 0s - loss: 1.7588e-04
 73/229 [========>.....................] - ETA: 0s - loss: 1.2528e-04
 97/229 [===========>..................] - ETA: 0s - loss: 9.4490e-05
120/229 [==============>...............] - ETA: 0s - loss: 7.7514e-05
146/229 [==================>...........] - ETA: 0s - loss: 6.5268e-05
173/229 [=====================>........] - ETA: 0s - loss: 2.8554e-04
198/229 [========================>.....] - ETA: 0s - loss: 0.0068    
222/229 [============================>.] - ETA: 0s - loss: 0.0061
229/229 [==============================] - 1s 2ms/step - loss: 0.0059
    427. 

  427. Epoch 2/10
    428. 

  428. 
  1/229 [..............................] - ETA: 0s - loss: 0.0187
 24/229 [==>...........................] - ETA: 0s - loss: 7.7932e-04
 46/229 [=====>........................] - ETA: 0s - loss: 4.0737e-04
 71/229 [========>.....................] - ETA: 0s - loss: 2.6398e-04
 96/229 [===========>..................] - ETA: 0s - loss: 1.9530e-04
126/229 [===============>..............] - ETA: 0s - loss: 1.4911e-04
155/229 [===================>..........] - ETA: 0s - loss: 1.2130e-04
181/229 [======================>.......] - ETA: 0s - loss: 1.0462e-04
204/229 [=========================>....] - ETA: 0s - loss: 9.2825e-05
229/229 [==============================] - 0s 2ms/step - loss: 8.2945e-05
    429. 

  429. Epoch 3/10
    430. 

  430. 
  1/229 [..............................] - ETA: 1s - loss: 2.7802e-09
 25/229 [==>...........................] - ETA: 0s - loss: 5.3078e-06
 50/229 [=====>........................] - ETA: 0s - loss: 2.6558e-06
 74/229 [========>.....................] - ETA: 0s - loss: 1.9706e-06
100/229 [============>.................] - ETA: 0s - loss: 1.5047e-06
128/229 [===============>..............] - ETA: 0s - loss: 1.3416e-05
158/229 [===================>..........] - ETA: 0s - loss: 1.1095e-05
184/229 [=======================>......] - ETA: 0s - loss: 9.7511e-06
217/229 [===========================>..] - ETA: 0s - loss: 8.2730e-06
229/229 [==============================] - 0s 2ms/step - loss: 7.8648e-06
    431. 

  431. Epoch 4/10
    432. 

  432. 
  1/229 [..............................] - ETA: 0s - loss: 4.3197e-11
 34/229 [===>..........................] - ETA: 0s - loss: 6.4779e-07
 64/229 [=======>......................] - ETA: 0s - loss: 3.4631e-07
 95/229 [===========>..................] - ETA: 0s - loss: 1.2074e-05
122/229 [==============>...............] - ETA: 0s - loss: 9.5337e-06
151/229 [==================>...........] - ETA: 0s - loss: 9.3197e-06
173/229 [=====================>........] - ETA: 0s - loss: 8.1886e-06
195/229 [========================>.....] - ETA: 0s - loss: 7.3746e-06
220/229 [===========================>..] - ETA: 0s - loss: 6.5817e-06
229/229 [==============================] - 0s 2ms/step - loss: 6.3425e-06
    433. 

  433. Epoch 5/10
    434. 

  434. 
  1/229 [..............................] - ETA: 0s - loss: 1.8446e-10
 28/229 [==>...........................] - ETA: 0s - loss: 5.6923e-07
 52/229 [=====>........................] - ETA: 0s - loss: 1.7941e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.1480e-05
109/229 [=============>................] - ETA: 0s - loss: 9.0096e-06
131/229 [================>.............] - ETA: 0s - loss: 7.8239e-06
155/229 [===================>..........] - ETA: 0s - loss: 6.6134e-06
176/229 [======================>.......] - ETA: 0s - loss: 5.8625e-06
190/229 [=======================>......] - ETA: 0s - loss: 6.4660e-06
206/229 [=========================>....] - ETA: 0s - loss: 5.9661e-06
223/229 [============================>.] - ETA: 0s - loss: 5.5521e-06
229/229 [==============================] - 1s 2ms/step - loss: 5.4358e-06
    435. 

  435. Epoch 6/10
    436. 

  436. 
  1/229 [..............................] - ETA: 0s - loss: 7.3864e-11
 19/229 [=>............................] - ETA: 0s - loss: 1.1901e-07
 36/229 [===>..........................] - ETA: 0s - loss: 8.1763e-08
 53/229 [=====>........................] - ETA: 0s - loss: 5.8101e-08
 70/229 [========>.....................] - ETA: 0s - loss: 4.4586e-08
 88/229 [==========>...................] - ETA: 0s - loss: 3.4300e-07
106/229 [============>.................] - ETA: 0s - loss: 2.8541e-07
124/229 [===============>..............] - ETA: 0s - loss: 3.3249e-07
145/229 [=================>............] - ETA: 0s - loss: 2.9063e-07
168/229 [=====================>........] - ETA: 0s - loss: 2.9209e-07
191/229 [========================>.....] - ETA: 0s - loss: 5.9075e-07
211/229 [==========================>...] - ETA: 0s - loss: 5.1227e-06
229/229 [==============================] - 1s 3ms/step - loss: 4.7378e-06
    437. 

  437. Epoch 7/10
    438. 

  438. 
  1/229 [..............................] - ETA: 0s - loss: 1.6501e-10
 20/229 [=>............................] - ETA: 0s - loss: 3.2733e-05
 37/229 [===>..........................] - ETA: 0s - loss: 1.8848e-05
 52/229 [=====>........................] - ETA: 0s - loss: 1.3560e-05
 69/229 [========>.....................] - ETA: 0s - loss: 1.0225e-05
 92/229 [===========>..................] - ETA: 0s - loss: 7.9029e-06
115/229 [==============>...............] - ETA: 0s - loss: 8.0103e-06
139/229 [=================>............] - ETA: 0s - loss: 6.8604e-06
162/229 [====================>.........] - ETA: 0s - loss: 5.8867e-06
184/229 [=======================>......] - ETA: 0s - loss: 5.1834e-06
206/229 [=========================>....] - ETA: 0s - loss: 4.7265e-06
227/229 [============================>.] - ETA: 0s - loss: 4.2895e-06
229/229 [==============================] - 1s 3ms/step - loss: 4.2651e-06
    439. 

  439. Epoch 8/10
    440. 

  440. 
  1/229 [..............................] - ETA: 0s - loss: 2.3214e-10
 24/229 [==>...........................] - ETA: 0s - loss: 1.2992e-07
 40/229 [====>.........................] - ETA: 0s - loss: 2.3937e-07
 59/229 [======>.......................] - ETA: 0s - loss: 6.3493e-07
 73/229 [========>.....................] - ETA: 0s - loss: 5.1480e-07
 88/229 [==========>...................] - ETA: 0s - loss: 6.1440e-07
104/229 [============>.................] - ETA: 0s - loss: 5.1994e-07
116/229 [==============>...............] - ETA: 0s - loss: 1.6704e-06
132/229 [================>.............] - ETA: 0s - loss: 1.6108e-06
148/229 [==================>...........] - ETA: 0s - loss: 1.5844e-06
165/229 [====================>.........] - ETA: 0s - loss: 1.4234e-06
180/229 [======================>.......] - ETA: 0s - loss: 1.3336e-06
202/229 [=========================>....] - ETA: 0s - loss: 1.1903e-06
225/229 [============================>.] - ETA: 0s - loss: 3.9876e-06
229/229 [==============================] - 1s 3ms/step - loss: 3.9300e-06
    441. 

  441. Epoch 9/10
    442. 

  442. 
  1/229 [..............................] - ETA: 0s - loss: 3.0993e-10
 29/229 [==>...........................] - ETA: 0s - loss: 1.1904e-06
 49/229 [=====>........................] - ETA: 0s - loss: 7.2726e-07
 64/229 [=======>......................] - ETA: 0s - loss: 5.5735e-07
 80/229 [=========>....................] - ETA: 0s - loss: 4.4712e-07
 97/229 [===========>..................] - ETA: 0s - loss: 3.7892e-07
113/229 [=============>................] - ETA: 0s - loss: 1.7734e-06
130/229 [================>.............] - ETA: 0s - loss: 1.5418e-06
144/229 [=================>............] - ETA: 0s - loss: 1.3920e-06
162/229 [====================>.........] - ETA: 0s - loss: 1.2887e-06
178/229 [======================>.......] - ETA: 0s - loss: 1.2294e-06
194/229 [========================>.....] - ETA: 0s - loss: 3.7882e-06
211/229 [==========================>...] - ETA: 0s - loss: 3.6290e-06
229/229 [==============================] - 1s 3ms/step - loss: 3.4832e-06
    443. 

  443. Epoch 10/10
    444. 

  444. 
  1/229 [..............................] - ETA: 0s - loss: 4.5671e-11
 25/229 [==>...........................] - ETA: 0s - loss: 4.0578e-07
 47/229 [=====>........................] - ETA: 0s - loss: 2.2759e-07
 71/229 [========>.....................] - ETA: 0s - loss: 1.5196e-07
 98/229 [===========>..................] - ETA: 0s - loss: 7.6979e-07
127/229 [===============>..............] - ETA: 0s - loss: 1.8132e-06
157/229 [===================>..........] - ETA: 0s - loss: 1.5520e-06
190/229 [=======================>......] - ETA: 0s - loss: 1.3111e-06
221/229 [===========================>..] - ETA: 0s - loss: 3.2522e-06
229/229 [==============================] - 0s 2ms/step - loss: 3.1829e-06
    445. 

  445. -> test with GAN.predict
    446. 

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

  447. GAN fn, tp: 0, 17
    448. 

  448. GAN f1 score: 1.000
    449. 

  449. GAN cohens kappa score: 1.000
    450. 

  450. 

  451. -> test with 'LR'
    452. 

  452. LR tn, fp: 570, 1
    453. 

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

  454. LR f1 score: 0.909
    455. 

  455. LR cohens kappa score: 0.906
    456. 

  456. LR average precision score: 0.979
    457. 

  457. 

  458. -> test with 'RF'
    459. 

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

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

  461. RF f1 score: 0.938
    462. 

  462. RF cohens kappa score: 0.936
    463. 

  463. 

  464. -> test with 'GB'
    465. 

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

  466. GB fn, tp: 0, 17
    467. 

  467. GB f1 score: 1.000
    468. 

  468. GB cohens kappa score: 1.000
    469. 

  469. 

  470. -> test with 'KNN'
    471. 

  471. KNN tn, fp: 570, 1
    472. 

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

  473. KNN f1 score: 0.971
    474. 

  474. KNN cohens kappa score: 0.971
    475. 

  475. 

  476. 

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

  478. -> Reset the GAN
    479. 

  479. -> Train generator for synthetic samples
    480. 

  480. -> create 2219 synthetic samples
    481. 

  481. -> retrain GAN for predict
    482. 

  482. Epoch 1/10
    483. 

  483. 
  1/229 [..............................] - ETA: 49s - loss: 4.6967e-11
 37/229 [===>..........................] - ETA: 0s - loss: 2.2876e-07 
 76/229 [========>.....................] - ETA: 0s - loss: 1.4737e-07
114/229 [=============>................] - ETA: 0s - loss: 9.9779e-08
149/229 [==================>...........] - ETA: 0s - loss: 1.0837e-06
187/229 [=======================>......] - ETA: 0s - loss: 1.3196e-05
224/229 [============================>.] - ETA: 0s - loss: 1.6922e-05
229/229 [==============================] - 1s 1ms/step - loss: 1.6619e-05
    484. 

  484. Epoch 2/10
    485. 

  485. 
  1/229 [..............................] - ETA: 0s - loss: 4.7154e-11
 39/229 [====>.........................] - ETA: 0s - loss: 1.6129e-04
 75/229 [========>.....................] - ETA: 0s - loss: 3.0502e-04
112/229 [=============>................] - ETA: 0s - loss: 2.0428e-04
150/229 [==================>...........] - ETA: 0s - loss: 0.0017    
186/229 [=======================>......] - ETA: 0s - loss: 0.0014
216/229 [===========================>..] - ETA: 0s - loss: 0.0012
229/229 [==============================] - 0s 1ms/step - loss: 0.0011
    486. 

  486. Epoch 3/10
    487. 

  487. 
  1/229 [..............................] - ETA: 0s - loss: 1.1315e-09
 36/229 [===>..........................] - ETA: 0s - loss: 2.1769e-08
 69/229 [========>.....................] - ETA: 0s - loss: 2.5060e-07
105/229 [============>.................] - ETA: 0s - loss: 1.8456e-06
139/229 [=================>............] - ETA: 0s - loss: 2.2226e-06
172/229 [=====================>........] - ETA: 0s - loss: 2.3151e-06
200/229 [=========================>....] - ETA: 0s - loss: 2.4663e-06
229/229 [==============================] - 0s 2ms/step - loss: 2.2110e-06
    488. 

  488. Epoch 4/10
    489. 

  489. 
  1/229 [..............................] - ETA: 0s - loss: 3.0138e-07
 39/229 [====>.........................] - ETA: 0s - loss: 5.3078e-07
 78/229 [=========>....................] - ETA: 0s - loss: 2.7186e-07
113/229 [=============>................] - ETA: 0s - loss: 4.0951e-07
150/229 [==================>...........] - ETA: 0s - loss: 3.1714e-07
185/229 [=======================>......] - ETA: 0s - loss: 1.0086e-06
224/229 [============================>.] - ETA: 0s - loss: 1.5683e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.6341e-06
    490. 

  490. Epoch 5/10
    491. 

  491. 
  1/229 [..............................] - ETA: 0s - loss: 1.8042e-10
 37/229 [===>..........................] - ETA: 0s - loss: 1.9476e-06
 73/229 [========>.....................] - ETA: 0s - loss: 2.5752e-06
109/229 [=============>................] - ETA: 0s - loss: 2.0681e-06
144/229 [=================>............] - ETA: 0s - loss: 1.6884e-06
184/229 [=======================>......] - ETA: 0s - loss: 1.3254e-06
218/229 [===========================>..] - ETA: 0s - loss: 1.3884e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.3293e-06
    492. 

  492. Epoch 6/10
    493. 

  493. 
  1/229 [..............................] - ETA: 0s - loss: 1.3309e-10
 36/229 [===>..........................] - ETA: 0s - loss: 2.6185e-08
 72/229 [========>.....................] - ETA: 0s - loss: 3.6282e-07
106/229 [============>.................] - ETA: 0s - loss: 5.4147e-07
139/229 [=================>............] - ETA: 0s - loss: 1.0007e-06
175/229 [=====================>........] - ETA: 0s - loss: 7.9915e-07
211/229 [==========================>...] - ETA: 0s - loss: 1.2000e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.1092e-06
    494. 

  494. Epoch 7/10
    495. 

  495. 
  1/229 [..............................] - ETA: 0s - loss: 5.1064e-11
 38/229 [===>..........................] - ETA: 0s - loss: 1.5299e-06
 75/229 [========>.....................] - ETA: 0s - loss: 1.0539e-06
113/229 [=============>................] - ETA: 0s - loss: 8.2848e-07
147/229 [==================>...........] - ETA: 0s - loss: 8.8747e-07
188/229 [=======================>......] - ETA: 0s - loss: 1.1584e-06
226/229 [============================>.] - ETA: 0s - loss: 9.6886e-07
229/229 [==============================] - 0s 1ms/step - loss: 9.5910e-07
    496. 

  496. Epoch 8/10
    497. 

  497. 
  1/229 [..............................] - ETA: 0s - loss: 5.4547e-10
 36/229 [===>..........................] - ETA: 0s - loss: 3.7462e-07
 77/229 [=========>....................] - ETA: 0s - loss: 9.0496e-07
114/229 [=============>................] - ETA: 0s - loss: 1.3092e-06
153/229 [===================>..........] - ETA: 0s - loss: 1.0678e-06
194/229 [========================>.....] - ETA: 0s - loss: 9.8550e-07
229/229 [==============================] - 0s 1ms/step - loss: 8.4163e-07
    498. 

  498. Epoch 9/10
    499. 

  499. 
  1/229 [..............................] - ETA: 0s - loss: 3.5438e-09
 37/229 [===>..........................] - ETA: 0s - loss: 3.8054e-07
 73/229 [========>.....................] - ETA: 0s - loss: 2.7752e-07
109/229 [=============>................] - ETA: 0s - loss: 4.1441e-07
139/229 [=================>............] - ETA: 0s - loss: 7.0207e-07
172/229 [=====================>........] - ETA: 0s - loss: 5.6913e-07
206/229 [=========================>....] - ETA: 0s - loss: 7.0702e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.5014e-07
    500. 

  500. Epoch 10/10
    501. 

  501. 
  1/229 [..............................] - ETA: 0s - loss: 1.8747e-09
 36/229 [===>..........................] - ETA: 0s - loss: 8.8055e-07
 72/229 [========>.....................] - ETA: 0s - loss: 5.7760e-07
107/229 [=============>................] - ETA: 0s - loss: 7.0637e-07
142/229 [=================>............] - ETA: 0s - loss: 6.2710e-07
178/229 [======================>.......] - ETA: 0s - loss: 8.1514e-07
212/229 [==========================>...] - ETA: 0s - loss: 6.8639e-07
229/229 [==============================] - 0s 1ms/step - loss: 6.7587e-07
    502. 

  502. -> test with GAN.predict
    503. 

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

  504. GAN fn, tp: 0, 17
    505. 

  505. GAN f1 score: 1.000
    506. 

  506. GAN cohens kappa score: 1.000
    507. 

  507. 

  508. -> test with 'LR'
    509. 

  509. LR tn, fp: 569, 2
    510. 

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

  511. LR f1 score: 0.944
    512. 

  512. LR cohens kappa score: 0.943
    513. 

  513. LR average precision score: 1.000
    514. 

  514. 

  515. -> test with 'RF'
    516. 

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

  517. RF fn, tp: 0, 17
    518. 

  518. RF f1 score: 1.000
    519. 

  519. RF cohens kappa score: 1.000
    520. 

  520. 

  521. -> test with 'GB'
    522. 

  522. GB tn, fp: 571, 0
    523. 

  523. GB fn, tp: 0, 17
    524. 

  524. GB f1 score: 1.000
    525. 

  525. GB cohens kappa score: 1.000
    526. 

  526. 

  527. -> test with 'KNN'
    528. 

  528. KNN tn, fp: 567, 4
    529. 

  529. KNN fn, tp: 1, 16
    530. 

  530. KNN f1 score: 0.865
    531. 

  531. KNN cohens kappa score: 0.861
    532. 

  532. 

  533. 

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

  535. -> Reset the GAN
    536. 

  536. -> Train generator for synthetic samples
    537. 

  537. -> create 2216 synthetic samples
    538. 

  538. -> retrain GAN for predict
    539. 

  539. Epoch 1/10
    540. 

  540. 
  1/229 [..............................] - ETA: 35s - loss: 5.1152e-10
 32/229 [===>..........................] - ETA: 0s - loss: 4.4442e-04 
 60/229 [======>.......................] - ETA: 0s - loss: 3.4134e-04
 92/229 [===========>..................] - ETA: 0s - loss: 5.1434e-04
128/229 [===============>..............] - ETA: 0s - loss: 0.0030    
166/229 [====================>.........] - ETA: 0s - loss: 0.0024
202/229 [=========================>....] - ETA: 0s - loss: 0.0020
229/229 [==============================] - 0s 1ms/step - loss: 0.0017
    541. 

  541. Epoch 2/10
    542. 

  542. 
  1/229 [..............................] - ETA: 0s - loss: 1.8466e-09
 37/229 [===>..........................] - ETA: 0s - loss: 8.3820e-06
 74/229 [========>.....................] - ETA: 0s - loss: 1.1049e-05
112/229 [=============>................] - ETA: 0s - loss: 7.3488e-06
151/229 [==================>...........] - ETA: 0s - loss: 8.5439e-06
192/229 [========================>.....] - ETA: 0s - loss: 6.9540e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.3436e-05
    543. 

  543. Epoch 3/10
    544. 

  544. 
  1/229 [..............................] - ETA: 0s - loss: 2.3546e-08
 35/229 [===>..........................] - ETA: 0s - loss: 2.1349e-05
 72/229 [========>.....................] - ETA: 0s - loss: 1.0981e-05
107/229 [=============>................] - ETA: 0s - loss: 7.4071e-06
144/229 [=================>............] - ETA: 0s - loss: 5.7425e-06
181/229 [======================>.......] - ETA: 0s - loss: 5.0554e-06
217/229 [===========================>..] - ETA: 0s - loss: 4.6383e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.4900e-06
    545. 

  545. Epoch 4/10
    546. 

  546. 
  1/229 [..............................] - ETA: 0s - loss: 1.8678e-09
 39/229 [====>.........................] - ETA: 0s - loss: 1.5001e-06
 74/229 [========>.....................] - ETA: 0s - loss: 7.0321e-06
108/229 [=============>................] - ETA: 0s - loss: 5.6404e-06
141/229 [=================>............] - ETA: 0s - loss: 4.3226e-06
173/229 [=====================>........] - ETA: 0s - loss: 3.6282e-06
208/229 [==========================>...] - ETA: 0s - loss: 3.0932e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.8404e-06
    547. 

  547. Epoch 5/10
    548. 

  548. 
  1/229 [..............................] - ETA: 0s - loss: 8.3105e-10
 35/229 [===>..........................] - ETA: 0s - loss: 4.5735e-07
 71/229 [========>.....................] - ETA: 0s - loss: 6.2757e-07
107/229 [=============>................] - ETA: 0s - loss: 1.1683e-06
143/229 [=================>............] - ETA: 0s - loss: 1.2769e-06
178/229 [======================>.......] - ETA: 0s - loss: 2.4158e-06
214/229 [===========================>..] - ETA: 0s - loss: 2.2105e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.0847e-06
    549. 

  549. Epoch 6/10
    550. 

  550. 
  1/229 [..............................] - ETA: 0s - loss: 5.8906e-09
 36/229 [===>..........................] - ETA: 0s - loss: 5.5290e-07
 70/229 [========>.....................] - ETA: 0s - loss: 6.2880e-07
106/229 [============>.................] - ETA: 0s - loss: 6.4884e-07
142/229 [=================>............] - ETA: 0s - loss: 2.1646e-06
179/229 [======================>.......] - ETA: 0s - loss: 2.1069e-06
219/229 [===========================>..] - ETA: 0s - loss: 1.7336e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.6640e-06
    551. 

  551. Epoch 7/10
    552. 

  552. 
  1/229 [..............................] - ETA: 0s - loss: 2.7714e-08
 36/229 [===>..........................] - ETA: 0s - loss: 5.9886e-07
 73/229 [========>.....................] - ETA: 0s - loss: 4.3393e-07
111/229 [=============>................] - ETA: 0s - loss: 4.0351e-07
145/229 [=================>............] - ETA: 0s - loss: 8.1084e-07
179/229 [======================>.......] - ETA: 0s - loss: 8.2993e-07
209/229 [==========================>...] - ETA: 0s - loss: 1.5231e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.3967e-06
    553. 

  553. Epoch 8/10
    554. 

  554. 
  1/229 [..............................] - ETA: 0s - loss: 1.7985e-09
 35/229 [===>..........................] - ETA: 0s - loss: 1.0661e-07
 71/229 [========>.....................] - ETA: 0s - loss: 6.5699e-07
107/229 [=============>................] - ETA: 0s - loss: 6.1183e-07
142/229 [=================>............] - ETA: 0s - loss: 5.4325e-07
179/229 [======================>.......] - ETA: 0s - loss: 4.9882e-07
214/229 [===========================>..] - ETA: 0s - loss: 1.3028e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.2268e-06
    555. 

  555. Epoch 9/10
    556. 

  556. 
  1/229 [..............................] - ETA: 0s - loss: 3.0114e-08
 36/229 [===>..........................] - ETA: 0s - loss: 7.9080e-07
 70/229 [========>.....................] - ETA: 0s - loss: 6.4254e-07
110/229 [=============>................] - ETA: 0s - loss: 1.3698e-06
149/229 [==================>...........] - ETA: 0s - loss: 1.1961e-06
185/229 [=======================>......] - ETA: 0s - loss: 1.3418e-06
225/229 [============================>.] - ETA: 0s - loss: 1.1372e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.1210e-06
    557. 

  557. Epoch 10/10
    558. 

  558. 
  1/229 [..............................] - ETA: 0s - loss: 9.5020e-08
 37/229 [===>..........................] - ETA: 0s - loss: 6.0957e-07
 75/229 [========>.....................] - ETA: 0s - loss: 5.8214e-07
109/229 [=============>................] - ETA: 0s - loss: 1.6837e-06
145/229 [=================>............] - ETA: 0s - loss: 1.3910e-06
180/229 [======================>.......] - ETA: 0s - loss: 1.1687e-06
217/229 [===========================>..] - ETA: 0s - loss: 1.0822e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0522e-06
    559. 

  559. -> test with GAN.predict
    560. 

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

  561. GAN fn, tp: 0, 13
    562. 

  562. GAN f1 score: 1.000
    563. 

  563. GAN cohens kappa score: 1.000
    564. 

  564. 

  565. -> test with 'LR'
    566. 

  566. LR tn, fp: 570, 0
    567. 

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

  568. LR f1 score: 1.000
    569. 

  569. LR cohens kappa score: 1.000
    570. 

  570. LR average precision score: 1.000
    571. 

  571. 

  572. -> test with 'RF'
    573. 

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

  574. RF fn, tp: 0, 13
    575. 

  575. RF f1 score: 1.000
    576. 

  576. RF cohens kappa score: 1.000
    577. 

  577. 

  578. -> test with 'GB'
    579. 

  579. GB tn, fp: 570, 0
    580. 

  580. GB fn, tp: 0, 13
    581. 

  581. GB f1 score: 1.000
    582. 

  582. GB cohens kappa score: 1.000
    583. 

  583. 

  584. -> test with 'KNN'
    585. 

  585. KNN tn, fp: 569, 1
    586. 

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

  587. KNN f1 score: 0.963
    588. 

  588. KNN cohens kappa score: 0.962
    589. 

  589. 

  590. 

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

  592. -> Shuffling data
    593. 

  593. -> Spliting data to slices
    594. 

  594. 

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

  596. -> Reset the GAN
    597. 

  597. -> Train generator for synthetic samples
    598. 

  598. -> create 2219 synthetic samples
    599. 

  599. -> retrain GAN for predict
    600. 

  600. Epoch 1/10
    601. 

  601. 
  1/229 [..............................] - ETA: 46s - loss: 2.2277e-10
 40/229 [====>.........................] - ETA: 0s - loss: 3.1968e-07 
 80/229 [=========>....................] - ETA: 0s - loss: 2.6748e-07
120/229 [==============>...............] - ETA: 0s - loss: 9.1212e-04
160/229 [===================>..........] - ETA: 0s - loss: 0.0054    
200/229 [=========================>....] - ETA: 0s - loss: 0.0044
229/229 [==============================] - 0s 1ms/step - loss: 0.0039
    602. 

  602. Epoch 2/10
    603. 

  603. 
  1/229 [..............................] - ETA: 0s - loss: 3.7603e-11
 39/229 [====>.........................] - ETA: 0s - loss: 1.6217e-06
 71/229 [========>.....................] - ETA: 0s - loss: 1.0786e-04
105/229 [============>.................] - ETA: 0s - loss: 7.6099e-05
144/229 [=================>............] - ETA: 0s - loss: 5.6452e-05
185/229 [=======================>......] - ETA: 0s - loss: 4.5530e-05
223/229 [============================>.] - ETA: 0s - loss: 3.7788e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.6952e-05
    604. 

  604. Epoch 3/10
    605. 

  605. 
  1/229 [..............................] - ETA: 0s - loss: 4.0549e-08
 42/229 [====>.........................] - ETA: 0s - loss: 4.2863e-06
 82/229 [=========>....................] - ETA: 0s - loss: 1.8769e-05
122/229 [==============>...............] - ETA: 0s - loss: 1.4864e-05
162/229 [====================>.........] - ETA: 0s - loss: 1.2322e-05
202/229 [=========================>....] - ETA: 0s - loss: 1.0886e-05
229/229 [==============================] - 0s 1ms/step - loss: 9.6815e-06
    606. 

  606. Epoch 4/10
    607. 

  607. 
  1/229 [..............................] - ETA: 0s - loss: 2.0208e-11
 40/229 [====>.........................] - ETA: 0s - loss: 2.8010e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.8298e-05
118/229 [==============>...............] - ETA: 0s - loss: 1.3713e-05
157/229 [===================>..........] - ETA: 0s - loss: 1.1594e-05
198/229 [========================>.....] - ETA: 0s - loss: 9.2031e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.7278e-06
    608. 

  608. Epoch 5/10
    609. 

  609. 
  1/229 [..............................] - ETA: 0s - loss: 9.5819e-08
 36/229 [===>..........................] - ETA: 0s - loss: 1.8708e-06
 75/229 [========>.....................] - ETA: 0s - loss: 1.2564e-05
115/229 [==============>...............] - ETA: 0s - loss: 1.0505e-05
155/229 [===================>..........] - ETA: 0s - loss: 1.1086e-05
195/229 [========================>.....] - ETA: 0s - loss: 9.5943e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.1994e-06
    610. 

  610. Epoch 6/10
    611. 

  611. 
  1/229 [..............................] - ETA: 0s - loss: 1.1934e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.2392e-07
 81/229 [=========>....................] - ETA: 0s - loss: 1.6115e-06
120/229 [==============>...............] - ETA: 0s - loss: 1.4799e-06
160/229 [===================>..........] - ETA: 0s - loss: 1.8788e-06
199/229 [=========================>....] - ETA: 0s - loss: 1.8763e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.4875e-06
    612. 

  612. Epoch 7/10
    613. 

  613. 
  1/229 [..............................] - ETA: 0s - loss: 4.0385e-11
 41/229 [====>.........................] - ETA: 0s - loss: 1.8093e-05
 78/229 [=========>....................] - ETA: 0s - loss: 1.1782e-05
118/229 [==============>...............] - ETA: 0s - loss: 1.0703e-05
157/229 [===================>..........] - ETA: 0s - loss: 9.1513e-06
195/229 [========================>.....] - ETA: 0s - loss: 8.2184e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.0303e-06
    614. 

  614. Epoch 8/10
    615. 

  615. 
  1/229 [..............................] - ETA: 0s - loss: 1.5011e-08
 40/229 [====>.........................] - ETA: 0s - loss: 5.3182e-08
 78/229 [=========>....................] - ETA: 0s - loss: 4.6455e-06
118/229 [==============>...............] - ETA: 0s - loss: 9.5638e-06
155/229 [===================>..........] - ETA: 0s - loss: 7.5895e-06
195/229 [========================>.....] - ETA: 0s - loss: 7.6617e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.6951e-06
    616. 

  616. Epoch 9/10
    617. 

  617. 
  1/229 [..............................] - ETA: 0s - loss: 1.2339e-08
 41/229 [====>.........................] - ETA: 0s - loss: 8.0909e-06
 76/229 [========>.....................] - ETA: 0s - loss: 5.7466e-06
111/229 [=============>................] - ETA: 0s - loss: 5.9924e-06
145/229 [=================>............] - ETA: 0s - loss: 9.2480e-06
179/229 [======================>.......] - ETA: 0s - loss: 7.5117e-06
218/229 [===========================>..] - ETA: 0s - loss: 6.2827e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.2403e-06
    618. 

  618. Epoch 10/10
    619. 

  619. 
  1/229 [..............................] - ETA: 0s - loss: 2.2732e-09
 41/229 [====>.........................] - ETA: 0s - loss: 4.3252e-06
 80/229 [=========>....................] - ETA: 0s - loss: 4.1147e-06
118/229 [==============>...............] - ETA: 0s - loss: 3.9844e-06
157/229 [===================>..........] - ETA: 0s - loss: 3.8107e-06
196/229 [========================>.....] - ETA: 0s - loss: 5.4063e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.0406e-06
    620. 

  620. -> test with GAN.predict
    621. 

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

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

  623. GAN f1 score: 0.971
    624. 

  624. GAN cohens kappa score: 0.971
    625. 

  625. 

  626. -> test with 'LR'
    627. 

  627. LR tn, fp: 570, 1
    628. 

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

  629. LR f1 score: 0.971
    630. 

  630. LR cohens kappa score: 0.971
    631. 

  631. LR average precision score: 0.997
    632. 

  632. 

  633. -> test with 'RF'
    634. 

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

  635. RF fn, tp: 0, 17
    636. 

  636. RF f1 score: 1.000
    637. 

  637. RF cohens kappa score: 1.000
    638. 

  638. 

  639. -> test with 'GB'
    640. 

  640. GB tn, fp: 571, 0
    641. 

  641. GB fn, tp: 0, 17
    642. 

  642. GB f1 score: 1.000
    643. 

  643. GB cohens kappa score: 1.000
    644. 

  644. 

  645. -> test with 'KNN'
    646. 

  646. KNN tn, fp: 569, 2
    647. 

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

  648. KNN f1 score: 0.944
    649. 

  649. KNN cohens kappa score: 0.943
    650. 

  650. 

  651. 

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

  653. -> Reset the GAN
    654. 

  654. -> Train generator for synthetic samples
    655. 

  655. -> create 2219 synthetic samples
    656. 

  656. -> retrain GAN for predict
    657. 

  657. Epoch 1/10
    658. 

  658. 
  1/229 [..............................] - ETA: 46s - loss: 0.0619
 42/229 [====>.........................] - ETA: 0s - loss: 0.0021 
 82/229 [=========>....................] - ETA: 0s - loss: 0.0061
122/229 [==============>...............] - ETA: 0s - loss: 0.0076
161/229 [====================>.........] - ETA: 0s - loss: 0.0057
202/229 [=========================>....] - ETA: 0s - loss: 0.0046
229/229 [==============================] - 0s 1ms/step - loss: 0.0041
    659. 

  659. Epoch 2/10
    660. 

  660. 
  1/229 [..............................] - ETA: 0s - loss: 2.3124e-07
 40/229 [====>.........................] - ETA: 0s - loss: 5.7483e-06
 78/229 [=========>....................] - ETA: 0s - loss: 3.2238e-06
116/229 [==============>...............] - ETA: 0s - loss: 2.3547e-06
156/229 [===================>..........] - ETA: 0s - loss: 3.2268e-06
197/229 [========================>.....] - ETA: 0s - loss: 3.3442e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.8894e-04
    661. 

  661. Epoch 3/10
    662. 

  662. 
  1/229 [..............................] - ETA: 0s - loss: 9.9588e-10
 41/229 [====>.........................] - ETA: 0s - loss: 3.2469e-05
 80/229 [=========>....................] - ETA: 0s - loss: 2.1400e-05
120/229 [==============>...............] - ETA: 0s - loss: 1.1022e-04
160/229 [===================>..........] - ETA: 0s - loss: 8.5717e-05
201/229 [=========================>....] - ETA: 0s - loss: 8.4551e-05
229/229 [==============================] - 0s 1ms/step - loss: 7.4465e-05
    663. 

  663. Epoch 4/10
    664. 

  664. 
  1/229 [..............................] - ETA: 0s - loss: 1.4324e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.6743e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.0249e-05
124/229 [===============>..............] - ETA: 0s - loss: 7.2758e-06
165/229 [====================>.........] - ETA: 0s - loss: 5.8022e-06
206/229 [=========================>....] - ETA: 0s - loss: 6.5443e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.7655e-05
    665. 

  665. Epoch 5/10
    666. 

  666. 
  1/229 [..............................] - ETA: 0s - loss: 5.8174e-06
 40/229 [====>.........................] - ETA: 0s - loss: 5.6386e-05
 81/229 [=========>....................] - ETA: 0s - loss: 7.2837e-05
121/229 [==============>...............] - ETA: 0s - loss: 5.3988e-05
162/229 [====================>.........] - ETA: 0s - loss: 4.1515e-05
202/229 [=========================>....] - ETA: 0s - loss: 3.3701e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.0505e-05
    667. 

  667. Epoch 6/10
    668. 

  668. 
  1/229 [..............................] - ETA: 0s - loss: 3.5220e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.1736e-06
 82/229 [=========>....................] - ETA: 0s - loss: 2.1298e-06
122/229 [==============>...............] - ETA: 0s - loss: 1.0110e-05
159/229 [===================>..........] - ETA: 0s - loss: 8.6297e-06
196/229 [========================>.....] - ETA: 0s - loss: 8.7450e-06
228/229 [============================>.] - ETA: 0s - loss: 2.3329e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.3298e-05
    669. 

  669. Epoch 7/10
    670. 

  670. 
  1/229 [..............................] - ETA: 0s - loss: 9.1119e-11
 36/229 [===>..........................] - ETA: 0s - loss: 7.0983e-05
 76/229 [========>.....................] - ETA: 0s - loss: 3.4598e-05
113/229 [=============>................] - ETA: 0s - loss: 2.5194e-05
152/229 [==================>...........] - ETA: 0s - loss: 2.1580e-05
190/229 [=======================>......] - ETA: 0s - loss: 2.2500e-05
229/229 [==============================] - ETA: 0s - loss: 1.8750e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.8750e-05
    671. 

  671. Epoch 8/10
    672. 

  672. 
  1/229 [..............................] - ETA: 0s - loss: 2.3379e-09
 40/229 [====>.........................] - ETA: 0s - loss: 5.4346e-05
 80/229 [=========>....................] - ETA: 0s - loss: 3.3677e-05
121/229 [==============>...............] - ETA: 0s - loss: 2.2712e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.8299e-05
201/229 [=========================>....] - ETA: 0s - loss: 1.8039e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.5969e-05
    673. 

  673. Epoch 9/10
    674. 

  674. 
  1/229 [..............................] - ETA: 0s - loss: 2.3051e-09
 42/229 [====>.........................] - ETA: 0s - loss: 4.7699e-05
 79/229 [=========>....................] - ETA: 0s - loss: 3.4585e-05
119/229 [==============>...............] - ETA: 0s - loss: 2.3803e-05
159/229 [===================>..........] - ETA: 0s - loss: 1.7896e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.5706e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4445e-05
    675. 

  675. Epoch 10/10
    676. 

  676. 
  1/229 [..............................] - ETA: 0s - loss: 1.0833e-08
 40/229 [====>.........................] - ETA: 0s - loss: 7.9860e-07
 80/229 [=========>....................] - ETA: 0s - loss: 4.7440e-07
121/229 [==============>...............] - ETA: 0s - loss: 3.6664e-07
161/229 [====================>.........] - ETA: 0s - loss: 2.2152e-06
201/229 [=========================>....] - ETA: 0s - loss: 1.3073e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3131e-05
    677. 

  677. -> test with GAN.predict
    678. 

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

  679. GAN fn, tp: 0, 17
    680. 

  680. GAN f1 score: 1.000
    681. 

  681. GAN cohens kappa score: 1.000
    682. 

  682. 

  683. -> test with 'LR'
    684. 

  684. LR tn, fp: 571, 0
    685. 

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

  686. LR f1 score: 0.970
    687. 

  687. LR cohens kappa score: 0.969
    688. 

  688. LR average precision score: 0.997
    689. 

  689. 

  690. -> test with 'RF'
    691. 

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

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

  693. RF f1 score: 0.970
    694. 

  694. RF cohens kappa score: 0.969
    695. 

  695. 

  696. -> test with 'GB'
    697. 

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

  698. GB fn, tp: 0, 17
    699. 

  699. GB f1 score: 1.000
    700. 

  700. GB cohens kappa score: 1.000
    701. 

  701. 

  702. -> test with 'KNN'
    703. 

  703. KNN tn, fp: 565, 6
    704. 

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

  705. KNN f1 score: 0.850
    706. 

  706. KNN cohens kappa score: 0.845
    707. 

  707. 

  708. 

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

  710. -> Reset the GAN
    711. 

  711. -> Train generator for synthetic samples
    712. 

  712. -> create 2219 synthetic samples
    713. 

  713. -> retrain GAN for predict
    714. 

  714. Epoch 1/10
    715. 

  715. 
  1/229 [..............................] - ETA: 37s - loss: 1.0416e-09
 42/229 [====>.........................] - ETA: 0s - loss: 0.0193     
 83/229 [=========>....................] - ETA: 0s - loss: 0.0102
124/229 [===============>..............] - ETA: 0s - loss: 0.0075
163/229 [====================>.........] - ETA: 0s - loss: 0.0059
204/229 [=========================>....] - ETA: 0s - loss: 0.0052
229/229 [==============================] - 0s 1ms/step - loss: 0.0047
    716. 

  716. Epoch 2/10
    717. 

  717. 
  1/229 [..............................] - ETA: 0s - loss: 6.4662e-11
 40/229 [====>.........................] - ETA: 0s - loss: 4.8255e-04
 73/229 [========>.....................] - ETA: 0s - loss: 0.0032    
107/229 [=============>................] - ETA: 0s - loss: 0.0022
143/229 [=================>............] - ETA: 0s - loss: 0.0016
185/229 [=======================>......] - ETA: 0s - loss: 0.0013
225/229 [============================>.] - ETA: 0s - loss: 0.0010
229/229 [==============================] - 0s 1ms/step - loss: 0.0010
    718. 

  718. Epoch 3/10
    719. 

  719. 
  1/229 [..............................] - ETA: 0s - loss: 6.0722e-05
 43/229 [====>.........................] - ETA: 0s - loss: 2.0949e-05
 86/229 [==========>...................] - ETA: 0s - loss: 1.9779e-04
126/229 [===============>..............] - ETA: 0s - loss: 1.4361e-04
166/229 [====================>.........] - ETA: 0s - loss: 1.1486e-04
207/229 [==========================>...] - ETA: 0s - loss: 1.0404e-04
229/229 [==============================] - 0s 1ms/step - loss: 9.4432e-05
    720. 

  720. Epoch 4/10
    721. 

  721. 
  1/229 [..............................] - ETA: 0s - loss: 8.7541e-08
 43/229 [====>.........................] - ETA: 0s - loss: 3.6542e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.3400e-04
122/229 [==============>...............] - ETA: 0s - loss: 9.5242e-05
162/229 [====================>.........] - ETA: 0s - loss: 7.6363e-05
198/229 [========================>.....] - ETA: 0s - loss: 6.4887e-05
229/229 [==============================] - 0s 1ms/step - loss: 5.6278e-05
    722. 

  722. Epoch 5/10
    723. 

  723. 
  1/229 [..............................] - ETA: 0s - loss: 2.8029e-07
 40/229 [====>.........................] - ETA: 0s - loss: 9.1929e-08
 81/229 [=========>....................] - ETA: 0s - loss: 6.0230e-06
125/229 [===============>..............] - ETA: 0s - loss: 4.5548e-06
166/229 [====================>.........] - ETA: 0s - loss: 5.9339e-06
205/229 [=========================>....] - ETA: 0s - loss: 1.1478e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.0904e-05
    724. 

  724. Epoch 6/10
    725. 

  725. 
  1/229 [..............................] - ETA: 0s - loss: 7.8805e-09
 41/229 [====>.........................] - ETA: 0s - loss: 1.0168e-05
 81/229 [=========>....................] - ETA: 0s - loss: 2.2409e-05
120/229 [==============>...............] - ETA: 0s - loss: 1.5511e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.6554e-05
201/229 [=========================>....] - ETA: 0s - loss: 1.5098e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.5925e-05
    726. 

  726. Epoch 7/10
    727. 

  727. 
  1/229 [..............................] - ETA: 0s - loss: 7.9726e-11
 41/229 [====>.........................] - ETA: 0s - loss: 1.7110e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.2463e-05
120/229 [==============>...............] - ETA: 0s - loss: 4.3210e-05
162/229 [====================>.........] - ETA: 0s - loss: 3.2435e-05
203/229 [=========================>....] - ETA: 0s - loss: 3.2937e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.9645e-05
    728. 

  728. Epoch 8/10
    729. 

  729. 
  1/229 [..............................] - ETA: 0s - loss: 1.2127e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.5673e-05
 83/229 [=========>....................] - ETA: 0s - loss: 4.3404e-05
124/229 [===============>..............] - ETA: 0s - loss: 3.0013e-05
165/229 [====================>.........] - ETA: 0s - loss: 2.4504e-05
206/229 [=========================>....] - ETA: 0s - loss: 2.1834e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.4969e-05
    730. 

  730. Epoch 9/10
    731. 

  731. 
  1/229 [..............................] - ETA: 0s - loss: 6.8378e-11
 40/229 [====>.........................] - ETA: 0s - loss: 1.4851e-06
 77/229 [=========>....................] - ETA: 0s - loss: 1.0609e-06
115/229 [==============>...............] - ETA: 0s - loss: 2.5145e-05
150/229 [==================>...........] - ETA: 0s - loss: 2.2408e-05
186/229 [=======================>......] - ETA: 0s - loss: 2.2057e-05
222/229 [============================>.] - ETA: 0s - loss: 2.1677e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.1079e-05
    732. 

  732. Epoch 10/10
    733. 

  733. 
  1/229 [..............................] - ETA: 0s - loss: 4.9204e-10
 40/229 [====>.........................] - ETA: 0s - loss: 3.4583e-06
 81/229 [=========>....................] - ETA: 0s - loss: 3.2996e-05
121/229 [==============>...............] - ETA: 0s - loss: 2.2672e-05
161/229 [====================>.........] - ETA: 0s - loss: 2.2554e-05
202/229 [=========================>....] - ETA: 0s - loss: 1.8011e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9037e-05
    734. 

  734. -> test with GAN.predict
    735. 

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

  736. GAN fn, tp: 0, 17
    737. 

  737. GAN f1 score: 1.000
    738. 

  738. GAN cohens kappa score: 1.000
    739. 

  739. 

  740. -> test with 'LR'
    741. 

  741. LR tn, fp: 571, 0
    742. 

  742. LR fn, tp: 0, 17
    743. 

  743. LR f1 score: 1.000
    744. 

  744. LR cohens kappa score: 1.000
    745. 

  745. LR average precision score: 1.000
    746. 

  746. 

  747. -> test with 'RF'
    748. 

  748. RF tn, fp: 571, 0
    749. 

  749. RF fn, tp: 0, 17
    750. 

  750. RF f1 score: 1.000
    751. 

  751. RF cohens kappa score: 1.000
    752. 

  752. 

  753. -> test with 'GB'
    754. 

  754. GB tn, fp: 571, 0
    755. 

  755. GB fn, tp: 0, 17
    756. 

  756. GB f1 score: 1.000
    757. 

  757. GB cohens kappa score: 1.000
    758. 

  758. 

  759. -> test with 'KNN'
    760. 

  760. KNN tn, fp: 568, 3
    761. 

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

  762. KNN f1 score: 0.919
    763. 

  763. KNN cohens kappa score: 0.916
    764. 

  764. 

  765. 

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

  767. -> Reset the GAN
    768. 

  768. -> Train generator for synthetic samples
    769. 

  769. -> create 2219 synthetic samples
    770. 

  770. -> retrain GAN for predict
    771. 

  771. Epoch 1/10
    772. 

  772. 
  1/229 [..............................] - ETA: 38s - loss: 2.6231e-08
 43/229 [====>.........................] - ETA: 0s - loss: 0.0097     
 85/229 [==========>...................] - ETA: 0s - loss: 0.0053
124/229 [===============>..............] - ETA: 0s - loss: 0.0037
163/229 [====================>.........] - ETA: 0s - loss: 0.0028
204/229 [=========================>....] - ETA: 0s - loss: 0.0022
229/229 [==============================] - 0s 1ms/step - loss: 0.0020
    773. 

  773. Epoch 2/10
    774. 

  774. 
  1/229 [..............................] - ETA: 0s - loss: 1.0810e-08
 42/229 [====>.........................] - ETA: 0s - loss: 2.9356e-05
 84/229 [==========>...................] - ETA: 0s - loss: 7.5307e-04
126/229 [===============>..............] - ETA: 0s - loss: 5.2650e-04
165/229 [====================>.........] - ETA: 0s - loss: 4.0246e-04
204/229 [=========================>....] - ETA: 0s - loss: 3.2577e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.9130e-04
    775. 

  775. Epoch 3/10
    776. 

  776. 
  1/229 [..............................] - ETA: 0s - loss: 4.1352e-05
 32/229 [===>..........................] - ETA: 0s - loss: 7.7613e-06
 70/229 [========>.....................] - ETA: 0s - loss: 4.3881e-06
110/229 [=============>................] - ETA: 0s - loss: 2.9542e-06
152/229 [==================>...........] - ETA: 0s - loss: 2.5724e-06
192/229 [========================>.....] - ETA: 0s - loss: 2.1028e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.7476e-05
    777. 

  777. Epoch 4/10
    778. 

  778. 
  1/229 [..............................] - ETA: 0s - loss: 1.4654e-07
 42/229 [====>.........................] - ETA: 0s - loss: 3.8044e-05
 82/229 [=========>....................] - ETA: 0s - loss: 3.1035e-05
124/229 [===============>..............] - ETA: 0s - loss: 4.5321e-05
162/229 [====================>.........] - ETA: 0s - loss: 5.3194e-05
203/229 [=========================>....] - ETA: 0s - loss: 4.2769e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.8178e-05
    779. 

  779. Epoch 5/10
    780. 

  780. 
  1/229 [..............................] - ETA: 0s - loss: 1.2060e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.9094e-05
 84/229 [==========>...................] - ETA: 0s - loss: 3.5366e-05
125/229 [===============>..............] - ETA: 0s - loss: 2.5431e-05
164/229 [====================>.........] - ETA: 0s - loss: 2.5432e-05
205/229 [=========================>....] - ETA: 0s - loss: 2.0853e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9543e-05
    781. 

  781. Epoch 6/10
    782. 

  782. 
  1/229 [..............................] - ETA: 0s - loss: 3.8553e-08
 42/229 [====>.........................] - ETA: 0s - loss: 5.1314e-06
 84/229 [==========>...................] - ETA: 0s - loss: 8.5445e-06
126/229 [===============>..............] - ETA: 0s - loss: 5.7783e-06
167/229 [====================>.........] - ETA: 0s - loss: 5.4114e-06
208/229 [==========================>...] - ETA: 0s - loss: 1.7146e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.6655e-05
    783. 

  783. Epoch 7/10
    784. 

  784. 
  1/229 [..............................] - ETA: 0s - loss: 4.5261e-09
 43/229 [====>.........................] - ETA: 0s - loss: 1.4513e-05
 82/229 [=========>....................] - ETA: 0s - loss: 1.4074e-05
121/229 [==============>...............] - ETA: 0s - loss: 9.7521e-06
161/229 [====================>.........] - ETA: 0s - loss: 7.6844e-06
198/229 [========================>.....] - ETA: 0s - loss: 1.6274e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4985e-05
    785. 

  785. Epoch 8/10
    786. 

  786. 
  1/229 [..............................] - ETA: 0s - loss: 3.7442e-08
 43/229 [====>.........................] - ETA: 0s - loss: 3.1021e-06
 83/229 [=========>....................] - ETA: 0s - loss: 7.7847e-06
124/229 [===============>..............] - ETA: 0s - loss: 5.4399e-06
166/229 [====================>.........] - ETA: 0s - loss: 1.3518e-05
206/229 [=========================>....] - ETA: 0s - loss: 1.3729e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2900e-05
    787. 

  787. Epoch 9/10
    788. 

  788. 
  1/229 [..............................] - ETA: 0s - loss: 1.5285e-08
 41/229 [====>.........................] - ETA: 0s - loss: 2.4891e-06
 82/229 [=========>....................] - ETA: 0s - loss: 4.4427e-06
122/229 [==============>...............] - ETA: 0s - loss: 7.9204e-06
163/229 [====================>.........] - ETA: 0s - loss: 1.5838e-05
203/229 [=========================>....] - ETA: 0s - loss: 1.2860e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.1461e-05
    789. 

  789. Epoch 10/10
    790. 

  790. 
  1/229 [..............................] - ETA: 0s - loss: 7.9380e-09
 41/229 [====>.........................] - ETA: 0s - loss: 4.7579e-06
 75/229 [========>.....................] - ETA: 0s - loss: 2.8717e-06
113/229 [=============>................] - ETA: 0s - loss: 1.4927e-05
149/229 [==================>...........] - ETA: 0s - loss: 1.4092e-05
190/229 [=======================>......] - ETA: 0s - loss: 1.1062e-05
229/229 [==============================] - ETA: 0s - loss: 9.2584e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.2584e-06
    791. 

  791. -> test with GAN.predict
    792. 

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

  793. GAN fn, tp: 0, 17
    794. 

  794. GAN f1 score: 1.000
    795. 

  795. GAN cohens kappa score: 1.000
    796. 

  796. 

  797. -> test with 'LR'
    798. 

  798. LR tn, fp: 571, 0
    799. 

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

  800. LR f1 score: 1.000
    801. 

  801. LR cohens kappa score: 1.000
    802. 

  802. LR average precision score: 1.000
    803. 

  803. 

  804. -> test with 'RF'
    805. 

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

  806. RF fn, tp: 0, 17
    807. 

  807. RF f1 score: 1.000
    808. 

  808. RF cohens kappa score: 1.000
    809. 

  809. 

  810. -> test with 'GB'
    811. 

  811. GB tn, fp: 571, 0
    812. 

  812. GB fn, tp: 0, 17
    813. 

  813. GB f1 score: 1.000
    814. 

  814. GB cohens kappa score: 1.000
    815. 

  815. 

  816. -> test with 'KNN'
    817. 

  817. KNN tn, fp: 568, 3
    818. 

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

  819. KNN f1 score: 0.919
    820. 

  820. KNN cohens kappa score: 0.916
    821. 

  821. 

  822. 

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

  824. -> Reset the GAN
    825. 

  825. -> Train generator for synthetic samples
    826. 

  826. -> create 2216 synthetic samples
    827. 

  827. -> retrain GAN for predict
    828. 

  828. Epoch 1/10
    829. 

  829. 
  1/229 [..............................] - ETA: 45s - loss: 9.1992e-07
 42/229 [====>.........................] - ETA: 0s - loss: 1.8409e-07 
 84/229 [==========>...................] - ETA: 0s - loss: 0.0046    
125/229 [===============>..............] - ETA: 0s - loss: 0.0037
165/229 [====================>.........] - ETA: 0s - loss: 0.0028
206/229 [=========================>....] - ETA: 0s - loss: 0.0022
229/229 [==============================] - 0s 1ms/step - loss: 0.0020
    830. 

  830. Epoch 2/10
    831. 

  831. 
  1/229 [..............................] - ETA: 0s - loss: 9.4214e-10
 42/229 [====>.........................] - ETA: 0s - loss: 3.3694e-07
 81/229 [=========>....................] - ETA: 0s - loss: 1.9124e-07
122/229 [==============>...............] - ETA: 0s - loss: 8.2742e-07
164/229 [====================>.........] - ETA: 0s - loss: 8.5297e-04
205/229 [=========================>....] - ETA: 0s - loss: 6.8684e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.1676e-04
    832. 

  832. Epoch 3/10
    833. 

  833. 
  1/229 [..............................] - ETA: 0s - loss: 2.4347e-10
 39/229 [====>.........................] - ETA: 0s - loss: 3.0619e-06
 71/229 [========>.....................] - ETA: 0s - loss: 1.0393e-04
104/229 [============>.................] - ETA: 0s - loss: 7.2013e-05
141/229 [=================>............] - ETA: 0s - loss: 5.8874e-05
174/229 [=====================>........] - ETA: 0s - loss: 4.9267e-05
212/229 [==========================>...] - ETA: 0s - loss: 4.2074e-05
229/229 [==============================] - 0s 1ms/step - loss: 3.9204e-05
    834. 

  834. Epoch 4/10
    835. 

  835. 
  1/229 [..............................] - ETA: 0s - loss: 4.1679e-09
 42/229 [====>.........................] - ETA: 0s - loss: 9.0061e-05
 83/229 [=========>....................] - ETA: 0s - loss: 4.6200e-05
124/229 [===============>..............] - ETA: 0s - loss: 4.0908e-05
165/229 [====================>.........] - ETA: 0s - loss: 3.1730e-05
205/229 [=========================>....] - ETA: 0s - loss: 2.9848e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.7489e-05
    836. 

  836. Epoch 5/10
    837. 

  837. 
  1/229 [..............................] - ETA: 0s - loss: 2.3781e-08
 42/229 [====>.........................] - ETA: 0s - loss: 3.1507e-06
 83/229 [=========>....................] - ETA: 0s - loss: 3.7075e-06
124/229 [===============>..............] - ETA: 0s - loss: 3.1020e-06
165/229 [====================>.........] - ETA: 0s - loss: 3.6909e-06
203/229 [=========================>....] - ETA: 0s - loss: 7.1265e-06
229/229 [==============================] - 0s 1ms/step - loss: 2.4390e-05
    838. 

  838. Epoch 6/10
    839. 

  839. 
  1/229 [..............................] - ETA: 0s - loss: 1.3736e-05
 42/229 [====>.........................] - ETA: 0s - loss: 1.5165e-05
 83/229 [=========>....................] - ETA: 0s - loss: 1.4231e-05
124/229 [===============>..............] - ETA: 0s - loss: 1.1483e-05
165/229 [====================>.........] - ETA: 0s - loss: 2.5159e-05
205/229 [=========================>....] - ETA: 0s - loss: 2.0871e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.9516e-05
    840. 

  840. Epoch 7/10
    841. 

  841. 
  1/229 [..............................] - ETA: 0s - loss: 1.1969e-09
 43/229 [====>.........................] - ETA: 0s - loss: 2.3965e-06
 84/229 [==========>...................] - ETA: 0s - loss: 2.3094e-06
120/229 [==============>...............] - ETA: 0s - loss: 1.0565e-05
155/229 [===================>..........] - ETA: 0s - loss: 9.9927e-06
189/229 [=======================>......] - ETA: 0s - loss: 2.0587e-05
229/229 [==============================] - ETA: 0s - loss: 1.7235e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.7235e-05
    842. 

  842. Epoch 8/10
    843. 

  843. 
  1/229 [..............................] - ETA: 0s - loss: 5.7382e-09
 40/229 [====>.........................] - ETA: 0s - loss: 3.8233e-06
 80/229 [=========>....................] - ETA: 0s - loss: 2.0342e-05
118/229 [==============>...............] - ETA: 0s - loss: 2.2433e-05
158/229 [===================>..........] - ETA: 0s - loss: 1.7324e-05
200/229 [=========================>....] - ETA: 0s - loss: 1.6546e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4592e-05
    844. 

  844. Epoch 9/10
    845. 

  845. 
  1/229 [..............................] - ETA: 0s - loss: 4.5325e-09
 42/229 [====>.........................] - ETA: 0s - loss: 4.8248e-05
 82/229 [=========>....................] - ETA: 0s - loss: 2.5318e-05
123/229 [===============>..............] - ETA: 0s - loss: 2.2159e-05
164/229 [====================>.........] - ETA: 0s - loss: 1.7303e-05
198/229 [========================>.....] - ETA: 0s - loss: 1.5289e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3622e-05
    846. 

  846. Epoch 10/10
    847. 

  847. 
  1/229 [..............................] - ETA: 0s - loss: 8.8677e-07
 41/229 [====>.........................] - ETA: 0s - loss: 3.5069e-06
 81/229 [=========>....................] - ETA: 0s - loss: 7.0746e-06
122/229 [==============>...............] - ETA: 0s - loss: 1.8989e-05
163/229 [====================>.........] - ETA: 0s - loss: 1.5108e-05
204/229 [=========================>....] - ETA: 0s - loss: 1.2475e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2463e-05
    848. 

  848. -> test with GAN.predict
    849. 

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

  850. GAN fn, tp: 0, 13
    851. 

  851. GAN f1 score: 1.000
    852. 

  852. GAN cohens kappa score: 1.000
    853. 

  853. 

  854. -> test with 'LR'
    855. 

  855. LR tn, fp: 569, 1
    856. 

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

  857. LR f1 score: 0.923
    858. 

  858. LR cohens kappa score: 0.921
    859. 

  859. LR average precision score: 0.980
    860. 

  860. 

  861. -> test with 'RF'
    862. 

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

  863. RF fn, tp: 0, 13
    864. 

  864. RF f1 score: 1.000
    865. 

  865. RF cohens kappa score: 1.000
    866. 

  866. 

  867. -> test with 'GB'
    868. 

  868. GB tn, fp: 570, 0
    869. 

  869. GB fn, tp: 0, 13
    870. 

  870. GB f1 score: 1.000
    871. 

  871. GB cohens kappa score: 1.000
    872. 

  872. 

  873. -> test with 'KNN'
    874. 

  874. KNN tn, fp: 567, 3
    875. 

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

  876. KNN f1 score: 0.897
    877. 

  877. KNN cohens kappa score: 0.894
    878. 

  878. 

  879. 

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

  881. -> Shuffling data
    882. 

  882. -> Spliting data to slices
    883. 

  883. 

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

  885. -> Reset the GAN
    886. 

  886. -> Train generator for synthetic samples
    887. 

  887. -> create 2219 synthetic samples
    888. 

  888. -> retrain GAN for predict
    889. 

  889. Epoch 1/10
    890. 

  890. 
  1/229 [..............................] - ETA: 44s - loss: 1.8936e-06
 38/229 [===>..........................] - ETA: 0s - loss: 7.2703e-08 
 79/229 [=========>....................] - ETA: 0s - loss: 0.0057    
120/229 [==============>...............] - ETA: 0s - loss: 0.0039
161/229 [====================>.........] - ETA: 0s - loss: 0.0029
198/229 [========================>.....] - ETA: 0s - loss: 0.0046
229/229 [==============================] - 0s 1ms/step - loss: 0.0067
    891. 

  891. Epoch 2/10
    892. 

  892. 
  1/229 [..............................] - ETA: 0s - loss: 2.4967e-09
 41/229 [====>.........................] - ETA: 0s - loss: 1.5000e-07
 80/229 [=========>....................] - ETA: 0s - loss: 2.9585e-04
119/229 [==============>...............] - ETA: 0s - loss: 1.9900e-04
158/229 [===================>..........] - ETA: 0s - loss: 1.5015e-04
193/229 [========================>.....] - ETA: 0s - loss: 1.2306e-04
226/229 [============================>.] - ETA: 0s - loss: 1.0513e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.0407e-04
    893. 

  893. Epoch 3/10
    894. 

  894. 
  1/229 [..............................] - ETA: 0s - loss: 1.6525e-09
 38/229 [===>..........................] - ETA: 0s - loss: 3.8716e-05
 78/229 [=========>....................] - ETA: 0s - loss: 2.0623e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.4072e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.0805e-05
202/229 [=========================>....] - ETA: 0s - loss: 1.6974e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.5024e-05
    895. 

  895. Epoch 4/10
    896. 

  896. 
  1/229 [..............................] - ETA: 0s - loss: 1.9079e-09
 41/229 [====>.........................] - ETA: 0s - loss: 1.4589e-07
 82/229 [=========>....................] - ETA: 0s - loss: 1.5070e-07
123/229 [===============>..............] - ETA: 0s - loss: 1.0577e-05
165/229 [====================>.........] - ETA: 0s - loss: 8.2646e-06
206/229 [=========================>....] - ETA: 0s - loss: 1.4819e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3394e-05
    897. 

  897. Epoch 5/10
    898. 

  898. 
  1/229 [..............................] - ETA: 0s - loss: 1.1268e-09
 43/229 [====>.........................] - ETA: 0s - loss: 1.1114e-07
 83/229 [=========>....................] - ETA: 0s - loss: 1.0517e-06
124/229 [===============>..............] - ETA: 0s - loss: 9.1938e-06
163/229 [====================>.........] - ETA: 0s - loss: 7.3263e-06
204/229 [=========================>....] - ETA: 0s - loss: 6.1483e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.2349e-05
    899. 

  899. Epoch 6/10
    900. 

  900. 
  1/229 [..............................] - ETA: 0s - loss: 7.6423e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.3896e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.4960e-06
124/229 [===============>..............] - ETA: 0s - loss: 9.5460e-06
165/229 [====================>.........] - ETA: 0s - loss: 1.4441e-05
206/229 [=========================>....] - ETA: 0s - loss: 1.2500e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.1288e-05
    901. 

  901. Epoch 7/10
    902. 

  902. 
  1/229 [..............................] - ETA: 0s - loss: 2.2440e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.3663e-06
 81/229 [=========>....................] - ETA: 0s - loss: 6.9654e-07
121/229 [==============>...............] - ETA: 0s - loss: 7.0468e-06
160/229 [===================>..........] - ETA: 0s - loss: 1.4290e-05
202/229 [=========================>....] - ETA: 0s - loss: 1.1437e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0169e-05
    903. 

  903. Epoch 8/10
    904. 

  904. 
  1/229 [..............................] - ETA: 0s - loss: 9.6110e-10
 39/229 [====>.........................] - ETA: 0s - loss: 2.6322e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.3557e-05
119/229 [==============>...............] - ETA: 0s - loss: 9.5006e-06
157/229 [===================>..........] - ETA: 0s - loss: 7.2742e-06
193/229 [========================>.....] - ETA: 0s - loss: 6.4681e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.7555e-06
    905. 

  905. Epoch 9/10
    906. 

  906. 
  1/229 [..............................] - ETA: 0s - loss: 2.2832e-09
 42/229 [====>.........................] - ETA: 0s - loss: 4.3915e-06
 84/229 [==========>...................] - ETA: 0s - loss: 3.1886e-06
125/229 [===============>..............] - ETA: 0s - loss: 2.5946e-06
167/229 [====================>.........] - ETA: 0s - loss: 2.0116e-06
208/229 [==========================>...] - ETA: 0s - loss: 6.4961e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.0244e-06
    907. 

  907. Epoch 10/10
    908. 

  908. 
  1/229 [..............................] - ETA: 0s - loss: 3.9756e-10
 34/229 [===>..........................] - ETA: 0s - loss: 1.7048e-08
 72/229 [========>.....................] - ETA: 0s - loss: 5.2636e-07
107/229 [=============>................] - ETA: 0s - loss: 2.3200e-06
148/229 [==================>...........] - ETA: 0s - loss: 7.8777e-06
189/229 [=======================>......] - ETA: 0s - loss: 1.0127e-05
229/229 [==============================] - 0s 1ms/step - loss: 8.5316e-06
    909. 

  909. -> test with GAN.predict
    910. 

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

  911. GAN fn, tp: 0, 17
    912. 

  912. GAN f1 score: 1.000
    913. 

  913. GAN cohens kappa score: 1.000
    914. 

  914. 

  915. -> test with 'LR'
    916. 

  916. LR tn, fp: 571, 0
    917. 

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

  918. LR f1 score: 1.000
    919. 

  919. LR cohens kappa score: 1.000
    920. 

  920. LR average precision score: 1.000
    921. 

  921. 

  922. -> test with 'RF'
    923. 

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

  924. RF fn, tp: 0, 17
    925. 

  925. RF f1 score: 1.000
    926. 

  926. RF cohens kappa score: 1.000
    927. 

  927. 

  928. -> test with 'GB'
    929. 

  929. GB tn, fp: 571, 0
    930. 

  930. GB fn, tp: 0, 17
    931. 

  931. GB f1 score: 1.000
    932. 

  932. GB cohens kappa score: 1.000
    933. 

  933. 

  934. -> test with 'KNN'
    935. 

  935. KNN tn, fp: 565, 6
    936. 

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

  937. KNN f1 score: 0.850
    938. 

  938. KNN cohens kappa score: 0.845
    939. 

  939. 

  940. 

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

  942. -> Reset the GAN
    943. 

  943. -> Train generator for synthetic samples
    944. 

  944. -> create 2219 synthetic samples
    945. 

  945. -> retrain GAN for predict
    946. 

  946. Epoch 1/10
    947. 

  947. 
  1/229 [..............................] - ETA: 45s - loss: 5.8279e-08
 41/229 [====>.........................] - ETA: 0s - loss: 1.4673e-07 
 83/229 [=========>....................] - ETA: 0s - loss: 1.4675e-04
125/229 [===============>..............] - ETA: 0s - loss: 1.1817e-04
166/229 [====================>.........] - ETA: 0s - loss: 4.6453e-04
207/229 [==========================>...] - ETA: 0s - loss: 0.0013    
229/229 [==============================] - 0s 1ms/step - loss: 0.0017
    948. 

  948. Epoch 2/10
    949. 

  949. 
  1/229 [..............................] - ETA: 0s - loss: 3.2726e-09
 42/229 [====>.........................] - ETA: 0s - loss: 6.5221e-07
 79/229 [=========>....................] - ETA: 0s - loss: 4.2961e-07
118/229 [==============>...............] - ETA: 0s - loss: 6.4055e-07
157/229 [===================>..........] - ETA: 0s - loss: 5.0215e-07
196/229 [========================>.....] - ETA: 0s - loss: 1.3269e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.7035e-05
    950. 

  950. Epoch 3/10
    951. 

  951. 
  1/229 [..............................] - ETA: 0s - loss: 1.1440e-09
 44/229 [====>.........................] - ETA: 0s - loss: 2.5210e-06
 86/229 [==========>...................] - ETA: 0s - loss: 5.4032e-06
129/229 [===============>..............] - ETA: 0s - loss: 1.2740e-05
169/229 [=====================>........] - ETA: 0s - loss: 9.7423e-06
209/229 [==========================>...] - ETA: 0s - loss: 1.3298e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3382e-05
    952. 

  952. Epoch 4/10
    953. 

  953. 
  1/229 [..............................] - ETA: 0s - loss: 4.9411e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.7750e-07
 80/229 [=========>....................] - ETA: 0s - loss: 1.5333e-05
121/229 [==============>...............] - ETA: 0s - loss: 1.1489e-05
159/229 [===================>..........] - ETA: 0s - loss: 8.7653e-06
200/229 [=========================>....] - ETA: 0s - loss: 1.1634e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.1316e-05
    954. 

  954. Epoch 5/10
    955. 

  955. 
  1/229 [..............................] - ETA: 0s - loss: 6.0546e-11
 41/229 [====>.........................] - ETA: 0s - loss: 8.1248e-08
 83/229 [=========>....................] - ETA: 0s - loss: 6.3502e-06
123/229 [===============>..............] - ETA: 0s - loss: 1.0602e-05
164/229 [====================>.........] - ETA: 0s - loss: 7.9547e-06
206/229 [=========================>....] - ETA: 0s - loss: 6.3990e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.0105e-05
    956. 

  956. Epoch 6/10
    957. 

  957. 
  1/229 [..............................] - ETA: 0s - loss: 1.2044e-10
 40/229 [====>.........................] - ETA: 0s - loss: 1.2433e-05
 82/229 [=========>....................] - ETA: 0s - loss: 7.8810e-06
122/229 [==============>...............] - ETA: 0s - loss: 5.3155e-06
161/229 [====================>.........] - ETA: 0s - loss: 1.2485e-05
196/229 [========================>.....] - ETA: 0s - loss: 1.0277e-05
228/229 [============================>.] - ETA: 0s - loss: 8.8378e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.8262e-06
    958. 

  958. Epoch 7/10
    959. 

  959. 
  1/229 [..............................] - ETA: 0s - loss: 2.4527e-10
 38/229 [===>..........................] - ETA: 0s - loss: 4.2428e-06
 78/229 [=========>....................] - ETA: 0s - loss: 7.5559e-06
119/229 [==============>...............] - ETA: 0s - loss: 1.5024e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.1182e-05
201/229 [=========================>....] - ETA: 0s - loss: 8.9317e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.8808e-06
    960. 

  960. Epoch 8/10
    961. 

  961. 
  1/229 [..............................] - ETA: 0s - loss: 3.5747e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.6438e-05
 81/229 [=========>....................] - ETA: 0s - loss: 8.8275e-06
121/229 [==============>...............] - ETA: 0s - loss: 5.9550e-06
161/229 [====================>.........] - ETA: 0s - loss: 6.2323e-06
203/229 [=========================>....] - ETA: 0s - loss: 4.9466e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.1517e-06
    962. 

  962. Epoch 9/10
    963. 

  963. 
  1/229 [..............................] - ETA: 0s - loss: 3.7723e-09
 40/229 [====>.........................] - ETA: 0s - loss: 7.1161e-06
 80/229 [=========>....................] - ETA: 0s - loss: 8.7212e-06
117/229 [==============>...............] - ETA: 0s - loss: 7.5499e-06
157/229 [===================>..........] - ETA: 0s - loss: 9.2732e-06
196/229 [========================>.....] - ETA: 0s - loss: 7.4376e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.4953e-06
    964. 

  964. Epoch 10/10
    965. 

  965. 
  1/229 [..............................] - ETA: 0s - loss: 1.2299e-09
 38/229 [===>..........................] - ETA: 0s - loss: 4.7085e-07
 79/229 [=========>....................] - ETA: 0s - loss: 5.5024e-06
119/229 [==============>...............] - ETA: 0s - loss: 7.7426e-06
162/229 [====================>.........] - ETA: 0s - loss: 6.5571e-06
203/229 [=========================>....] - ETA: 0s - loss: 6.6942e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.9541e-06
    966. 

  966. -> test with GAN.predict
    967. 

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

  968. GAN fn, tp: 0, 17
    969. 

  969. GAN f1 score: 1.000
    970. 

  970. GAN cohens kappa score: 1.000
    971. 

  971. 

  972. -> test with 'LR'
    973. 

  973. LR tn, fp: 571, 0
    974. 

  974. LR fn, tp: 1, 16
    975. 

  975. LR f1 score: 0.970
    976. 

  976. LR cohens kappa score: 0.969
    977. 

  977. LR average precision score: 1.000
    978. 

  978. 

  979. -> test with 'RF'
    980. 

  980. RF tn, fp: 571, 0
    981. 

  981. RF fn, tp: 0, 17
    982. 

  982. RF f1 score: 1.000
    983. 

  983. RF cohens kappa score: 1.000
    984. 

  984. 

  985. -> test with 'GB'
    986. 

  986. GB tn, fp: 571, 0
    987. 

  987. GB fn, tp: 0, 17
    988. 

  988. GB f1 score: 1.000
    989. 

  989. GB cohens kappa score: 1.000
    990. 

  990. 

  991. -> test with 'KNN'
    992. 

  992. KNN tn, fp: 570, 1
    993. 

  993. KNN fn, tp: 0, 17
    994. 

  994. KNN f1 score: 0.971
    995. 

  995. KNN cohens kappa score: 0.971
    996. 

  996. 

  997. 

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

  999. -> Reset the GAN
    1000. 

  1000. -> Train generator for synthetic samples
    1001. 

  1001. -> create 2219 synthetic samples
    1002. 

  1002. -> retrain GAN for predict
    1003. 

  1003. Epoch 1/10
    1004. 

  1004. 
  1/229 [..............................] - ETA: 37s - loss: 2.4985e-06
 42/229 [====>.........................] - ETA: 0s - loss: 1.0339e-07 
 84/229 [==========>...................] - ETA: 0s - loss: 5.9398e-04
124/229 [===============>..............] - ETA: 0s - loss: 4.3497e-04
166/229 [====================>.........] - ETA: 0s - loss: 3.2573e-04
207/229 [==========================>...] - ETA: 0s - loss: 2.6333e-04
229/229 [==============================] - 0s 1ms/step - loss: 0.0013
    1005. 

  1005. Epoch 2/10
    1006. 

  1006. 
  1/229 [..............................] - ETA: 0s - loss: 2.3905e-07
 42/229 [====>.........................] - ETA: 0s - loss: 0.0015    
 84/229 [==========>...................] - ETA: 0s - loss: 0.0011
118/229 [==============>...............] - ETA: 0s - loss: 0.0011
158/229 [===================>..........] - ETA: 0s - loss: 7.8730e-04
200/229 [=========================>....] - ETA: 0s - loss: 6.2226e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.4640e-04
    1007. 

  1007. Epoch 3/10
    1008. 

  1008. 
  1/229 [..............................] - ETA: 0s - loss: 8.0198e-08
 42/229 [====>.........................] - ETA: 0s - loss: 7.1676e-04
 83/229 [=========>....................] - ETA: 0s - loss: 3.6285e-04
125/229 [===============>..............] - ETA: 0s - loss: 2.5937e-04
166/229 [====================>.........] - ETA: 0s - loss: 1.9556e-04
207/229 [==========================>...] - ETA: 0s - loss: 1.6017e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.4548e-04
    1009. 

  1009. Epoch 4/10
    1010. 

  1010. 
  1/229 [..............................] - ETA: 0s - loss: 9.5028e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.5146e-06
 84/229 [==========>...................] - ETA: 0s - loss: 9.2524e-07
125/229 [===============>..............] - ETA: 0s - loss: 7.9524e-07
166/229 [====================>.........] - ETA: 0s - loss: 3.9383e-06
207/229 [==========================>...] - ETA: 0s - loss: 6.2503e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.1716e-05
    1011. 

  1011. Epoch 5/10
    1012. 

  1012. 
  1/229 [..............................] - ETA: 0s - loss: 2.2815e-09
 42/229 [====>.........................] - ETA: 0s - loss: 4.5521e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.8653e-05
123/229 [===============>..............] - ETA: 0s - loss: 1.8595e-05
163/229 [====================>.........] - ETA: 0s - loss: 1.4082e-05
204/229 [=========================>....] - ETA: 0s - loss: 1.1297e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0342e-05
    1013. 

  1013. Epoch 6/10
    1014. 

  1014. 
  1/229 [..............................] - ETA: 0s - loss: 2.4499e-08
 41/229 [====>.........................] - ETA: 0s - loss: 1.0900e-07
 81/229 [=========>....................] - ETA: 0s - loss: 5.6038e-06
122/229 [==============>...............] - ETA: 0s - loss: 4.1301e-06
159/229 [===================>..........] - ETA: 0s - loss: 4.6007e-06
191/229 [========================>.....] - ETA: 0s - loss: 3.9507e-06
224/229 [============================>.] - ETA: 0s - loss: 9.8190e-06
229/229 [==============================] - 0s 1ms/step - loss: 9.6342e-06
    1015. 

  1015. Epoch 7/10
    1016. 

  1016. 
  1/229 [..............................] - ETA: 0s - loss: 1.6769e-07
 41/229 [====>.........................] - ETA: 0s - loss: 4.8855e-07
 79/229 [=========>....................] - ETA: 0s - loss: 1.8530e-06
120/229 [==============>...............] - ETA: 0s - loss: 1.3684e-06
161/229 [====================>.........] - ETA: 0s - loss: 5.0113e-06
202/229 [=========================>....] - ETA: 0s - loss: 9.7507e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.9764e-06
    1017. 

  1017. Epoch 8/10
    1018. 

  1018. 
  1/229 [..............................] - ETA: 0s - loss: 5.6019e-07
 38/229 [===>..........................] - ETA: 0s - loss: 4.8990e-06
 79/229 [=========>....................] - ETA: 0s - loss: 3.3254e-06
120/229 [==============>...............] - ETA: 0s - loss: 5.1988e-06
161/229 [====================>.........] - ETA: 0s - loss: 1.0196e-05
201/229 [=========================>....] - ETA: 0s - loss: 8.5002e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.0409e-06
    1019. 

  1019. Epoch 9/10
    1020. 

  1020. 
  1/229 [..............................] - ETA: 0s - loss: 5.0675e-06
 41/229 [====>.........................] - ETA: 0s - loss: 5.6595e-07
 79/229 [=========>....................] - ETA: 0s - loss: 1.0080e-05
116/229 [==============>...............] - ETA: 0s - loss: 6.8893e-06
156/229 [===================>..........] - ETA: 0s - loss: 6.0222e-06
197/229 [========================>.....] - ETA: 0s - loss: 7.7705e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.3209e-06
    1021. 

  1021. Epoch 10/10
    1022. 

  1022. 
  1/229 [..............................] - ETA: 0s - loss: 3.8112e-08
 40/229 [====>.........................] - ETA: 0s - loss: 3.4945e-06
 82/229 [=========>....................] - ETA: 0s - loss: 2.1480e-06
123/229 [===============>..............] - ETA: 0s - loss: 8.2435e-06
164/229 [====================>.........] - ETA: 0s - loss: 6.3110e-06
205/229 [=========================>....] - ETA: 0s - loss: 7.3370e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.7148e-06
    1023. 

  1023. -> test with GAN.predict
    1024. 

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

  1025. GAN fn, tp: 0, 17
    1026. 

  1026. GAN f1 score: 1.000
    1027. 

  1027. GAN cohens kappa score: 1.000
    1028. 

  1028. 

  1029. -> test with 'LR'
    1030. 

  1030. LR tn, fp: 571, 0
    1031. 

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

  1032. LR f1 score: 1.000
    1033. 

  1033. LR cohens kappa score: 1.000
    1034. 

  1034. LR average precision score: 1.000
    1035. 

  1035. 

  1036. -> test with 'RF'
    1037. 

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

  1038. RF fn, tp: 0, 17
    1039. 

  1039. RF f1 score: 1.000
    1040. 

  1040. RF cohens kappa score: 1.000
    1041. 

  1041. 

  1042. -> test with 'GB'
    1043. 

  1043. GB tn, fp: 571, 0
    1044. 

  1044. GB fn, tp: 0, 17
    1045. 

  1045. GB f1 score: 1.000
    1046. 

  1046. GB cohens kappa score: 1.000
    1047. 

  1047. 

  1048. -> test with 'KNN'
    1049. 

  1049. KNN tn, fp: 567, 4
    1050. 

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

  1051. KNN f1 score: 0.895
    1052. 

  1052. KNN cohens kappa score: 0.891
    1053. 

  1053. 

  1054. 

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

  1056. -> Reset the GAN
    1057. 

  1057. -> Train generator for synthetic samples
    1058. 

  1058. -> create 2219 synthetic samples
    1059. 

  1059. -> retrain GAN for predict
    1060. 

  1060. Epoch 1/10
    1061. 

  1061. 
  1/229 [..............................] - ETA: 46s - loss: 7.8317e-11
 42/229 [====>.........................] - ETA: 0s - loss: 4.0235e-07 
 84/229 [==========>...................] - ETA: 0s - loss: 7.2519e-04
125/229 [===============>..............] - ETA: 0s - loss: 0.0012    
166/229 [====================>.........] - ETA: 0s - loss: 9.4941e-04
206/229 [=========================>....] - ETA: 0s - loss: 7.6634e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.9180e-04
    1062. 

  1062. Epoch 2/10
    1063. 

  1063. 
  1/229 [..............................] - ETA: 0s - loss: 5.4789e-11
 35/229 [===>..........................] - ETA: 0s - loss: 1.8887e-06
 71/229 [========>.....................] - ETA: 0s - loss: 1.1293e-06
111/229 [=============>................] - ETA: 0s - loss: 7.5213e-07
152/229 [==================>...........] - ETA: 0s - loss: 6.3667e-07
190/229 [=======================>......] - ETA: 0s - loss: 8.2334e-07
228/229 [============================>.] - ETA: 0s - loss: 7.1457e-07
229/229 [==============================] - 0s 1ms/step - loss: 7.1363e-07
    1064. 

  1064. Epoch 3/10
    1065. 

  1065. 
  1/229 [..............................] - ETA: 0s - loss: 3.6262e-10
 40/229 [====>.........................] - ETA: 0s - loss: 2.8531e-07
 81/229 [=========>....................] - ETA: 0s - loss: 2.7696e-07
121/229 [==============>...............] - ETA: 0s - loss: 6.9886e-07
161/229 [====================>.........] - ETA: 0s - loss: 5.5418e-07
202/229 [=========================>....] - ETA: 0s - loss: 4.7445e-07
229/229 [==============================] - 0s 1ms/step - loss: 4.3769e-07
    1066. 

  1066. Epoch 4/10
    1067. 

  1067. 
  1/229 [..............................] - ETA: 0s - loss: 1.7274e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.0432e-07
 82/229 [=========>....................] - ETA: 0s - loss: 6.9376e-07
123/229 [===============>..............] - ETA: 0s - loss: 4.7150e-07
163/229 [====================>.........] - ETA: 0s - loss: 4.1780e-07
198/229 [========================>.....] - ETA: 0s - loss: 4.1074e-07
229/229 [==============================] - 0s 1ms/step - loss: 4.0402e-07
    1068. 

  1068. Epoch 5/10
    1069. 

  1069. 
  1/229 [..............................] - ETA: 0s - loss: 2.2767e-10
 36/229 [===>..........................] - ETA: 0s - loss: 2.9135e-07
 74/229 [========>.....................] - ETA: 0s - loss: 1.8297e-07
114/229 [=============>................] - ETA: 0s - loss: 2.6173e-07
153/229 [===================>..........] - ETA: 0s - loss: 2.1116e-07
192/229 [========================>.....] - ETA: 0s - loss: 4.4550e-07
229/229 [==============================] - 0s 1ms/step - loss: 3.7695e-07
    1070. 

  1070. Epoch 6/10
    1071. 

  1071. 
  1/229 [..............................] - ETA: 0s - loss: 2.1673e-09
 41/229 [====>.........................] - ETA: 0s - loss: 1.2958e-06
 82/229 [=========>....................] - ETA: 0s - loss: 7.0333e-07
121/229 [==============>...............] - ETA: 0s - loss: 5.7290e-07
162/229 [====================>.........] - ETA: 0s - loss: 4.3627e-07
203/229 [=========================>....] - ETA: 0s - loss: 3.7545e-07
229/229 [==============================] - 0s 1ms/step - loss: 3.5115e-07
    1072. 

  1072. Epoch 7/10
    1073. 

  1073. 
  1/229 [..............................] - ETA: 0s - loss: 2.2678e-08
 43/229 [====>.........................] - ETA: 0s - loss: 1.2214e-06
 83/229 [=========>....................] - ETA: 0s - loss: 7.0732e-07
123/229 [===============>..............] - ETA: 0s - loss: 5.4942e-07
164/229 [====================>.........] - ETA: 0s - loss: 4.3563e-07
204/229 [=========================>....] - ETA: 0s - loss: 3.6159e-07
229/229 [==============================] - 0s 1ms/step - loss: 3.2973e-07
    1074. 

  1074. Epoch 8/10
    1075. 

  1075. 
  1/229 [..............................] - ETA: 0s - loss: 8.9429e-10
 42/229 [====>.........................] - ETA: 0s - loss: 1.7447e-07
 82/229 [=========>....................] - ETA: 0s - loss: 1.1055e-07
121/229 [==============>...............] - ETA: 0s - loss: 7.6909e-08
161/229 [====================>.........] - ETA: 0s - loss: 9.6402e-08
196/229 [========================>.....] - ETA: 0s - loss: 3.2930e-07
226/229 [============================>.] - ETA: 0s - loss: 3.1220e-07
229/229 [==============================] - 0s 1ms/step - loss: 3.0944e-07
    1076. 

  1076. Epoch 9/10
    1077. 

  1077. 
  1/229 [..............................] - ETA: 0s - loss: 9.7888e-10
 40/229 [====>.........................] - ETA: 0s - loss: 9.8496e-08
 80/229 [=========>....................] - ETA: 0s - loss: 1.2376e-07
119/229 [==============>...............] - ETA: 0s - loss: 1.3942e-07
158/229 [===================>..........] - ETA: 0s - loss: 1.4583e-07
197/229 [========================>.....] - ETA: 0s - loss: 3.2751e-07
229/229 [==============================] - 0s 1ms/step - loss: 2.8940e-07
    1078. 

  1078. Epoch 10/10
    1079. 

  1079. 
  1/229 [..............................] - ETA: 0s - loss: 3.2917e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.1566e-07
 83/229 [=========>....................] - ETA: 0s - loss: 1.0091e-07
123/229 [===============>..............] - ETA: 0s - loss: 4.0630e-07
164/229 [====================>.........] - ETA: 0s - loss: 3.3837e-07
205/229 [=========================>....] - ETA: 0s - loss: 2.9410e-07
229/229 [==============================] - 0s 1ms/step - loss: 2.7128e-07
    1080. 

  1080. -> test with GAN.predict
    1081. 

  1081. GAN tn, fp: 571, 0
    1082. 

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

  1083. GAN f1 score: 1.000
    1084. 

  1084. GAN cohens kappa score: 1.000
    1085. 

  1085. 

  1086. -> test with 'LR'
    1087. 

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

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

  1089. LR f1 score: 0.919
    1090. 

  1090. LR cohens kappa score: 0.916
    1091. 

  1091. LR average precision score: 0.935
    1092. 

  1092. 

  1093. -> test with 'RF'
    1094. 

  1094. RF tn, fp: 570, 1
    1095. 

  1095. RF fn, tp: 0, 17
    1096. 

  1096. RF f1 score: 0.971
    1097. 

  1097. RF cohens kappa score: 0.971
    1098. 

  1098. 

  1099. -> test with 'GB'
    1100. 

  1100. GB tn, fp: 569, 2
    1101. 

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

  1102. GB f1 score: 0.944
    1103. 

  1103. GB cohens kappa score: 0.943
    1104. 

  1104. 

  1105. -> test with 'KNN'
    1106. 

  1106. KNN tn, fp: 569, 2
    1107. 

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

  1108. KNN f1 score: 0.944
    1109. 

  1109. KNN cohens kappa score: 0.943
    1110. 

  1110. 

  1111. 

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

  1113. -> Reset the GAN
    1114. 

  1114. -> Train generator for synthetic samples
    1115. 

  1115. -> create 2216 synthetic samples
    1116. 

  1116. -> retrain GAN for predict
    1117. 

  1117. Epoch 1/10
    1118. 

  1118. 
  1/229 [..............................] - ETA: 37s - loss: 9.3200e-12
 41/229 [====>.........................] - ETA: 0s - loss: 0.0032     
 82/229 [=========>....................] - ETA: 0s - loss: 0.0017
123/229 [===============>..............] - ETA: 0s - loss: 0.0021
159/229 [===================>..........] - ETA: 0s - loss: 0.0016
194/229 [========================>.....] - ETA: 0s - loss: 0.0014
229/229 [==============================] - 0s 1ms/step - loss: 0.0012
    1119. 

  1119. Epoch 2/10
    1120. 

  1120. 
  1/229 [..............................] - ETA: 0s - loss: 1.3248e-06
 42/229 [====>.........................] - ETA: 0s - loss: 3.7943e-06
 82/229 [=========>....................] - ETA: 0s - loss: 1.5506e-04
123/229 [===============>..............] - ETA: 0s - loss: 1.0798e-04
164/229 [====================>.........] - ETA: 0s - loss: 8.3079e-05
204/229 [=========================>....] - ETA: 0s - loss: 7.0709e-05
229/229 [==============================] - 0s 1ms/step - loss: 6.3868e-05
    1121. 

  1121. Epoch 3/10
    1122. 

  1122. 
  1/229 [..............................] - ETA: 0s - loss: 5.9236e-09
 42/229 [====>.........................] - ETA: 0s - loss: 1.1400e-05
 83/229 [=========>....................] - ETA: 0s - loss: 2.8889e-05
124/229 [===============>..............] - ETA: 0s - loss: 2.1160e-05
165/229 [====================>.........] - ETA: 0s - loss: 1.6983e-05
206/229 [=========================>....] - ETA: 0s - loss: 1.5738e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4419e-05
    1123. 

  1123. Epoch 4/10
    1124. 

  1124. 
  1/229 [..............................] - ETA: 0s - loss: 5.8862e-06
 43/229 [====>.........................] - ETA: 0s - loss: 3.3527e-06
 82/229 [=========>....................] - ETA: 0s - loss: 3.3157e-06
122/229 [==============>...............] - ETA: 0s - loss: 5.0747e-06
162/229 [====================>.........] - ETA: 0s - loss: 1.6008e-05
202/229 [=========================>....] - ETA: 0s - loss: 1.3954e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3069e-05
    1125. 

  1125. Epoch 5/10
    1126. 

  1126. 
  1/229 [..............................] - ETA: 0s - loss: 9.9258e-06
 42/229 [====>.........................] - ETA: 0s - loss: 2.7391e-06
 84/229 [==========>...................] - ETA: 0s - loss: 1.6716e-05
125/229 [===============>..............] - ETA: 0s - loss: 1.2319e-05
160/229 [===================>..........] - ETA: 0s - loss: 1.0860e-05
193/229 [========================>.....] - ETA: 0s - loss: 1.1523e-05
229/229 [==============================] - ETA: 0s - loss: 1.0255e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0255e-05
    1127. 

  1127. Epoch 6/10
    1128. 

  1128. 
  1/229 [..............................] - ETA: 0s - loss: 8.6713e-07
 41/229 [====>.........................] - ETA: 0s - loss: 3.2871e-05
 79/229 [=========>....................] - ETA: 0s - loss: 1.9122e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.3407e-05
156/229 [===================>..........] - ETA: 0s - loss: 1.1706e-05
195/229 [========================>.....] - ETA: 0s - loss: 1.0415e-05
229/229 [==============================] - 0s 1ms/step - loss: 9.0397e-06
    1129. 

  1129. Epoch 7/10
    1130. 

  1130. 
  1/229 [..............................] - ETA: 0s - loss: 2.4724e-09
 42/229 [====>.........................] - ETA: 0s - loss: 8.7627e-07
 81/229 [=========>....................] - ETA: 0s - loss: 1.9726e-06
121/229 [==============>...............] - ETA: 0s - loss: 2.9482e-06
160/229 [===================>..........] - ETA: 0s - loss: 2.9680e-06
201/229 [=========================>....] - ETA: 0s - loss: 8.7569e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.0874e-06
    1131. 

  1131. Epoch 8/10
    1132. 

  1132. 
  1/229 [..............................] - ETA: 0s - loss: 1.8445e-05
 41/229 [====>.........................] - ETA: 0s - loss: 1.3077e-06
 80/229 [=========>....................] - ETA: 0s - loss: 4.3598e-06
119/229 [==============>...............] - ETA: 0s - loss: 4.0306e-06
158/229 [===================>..........] - ETA: 0s - loss: 3.3815e-06
197/229 [========================>.....] - ETA: 0s - loss: 2.7763e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.8024e-06
    1133. 

  1133. Epoch 9/10
    1134. 

  1134. 
  1/229 [..............................] - ETA: 0s - loss: 5.3192e-10
 41/229 [====>.........................] - ETA: 0s - loss: 9.5591e-07
 81/229 [=========>....................] - ETA: 0s - loss: 3.3896e-06
122/229 [==============>...............] - ETA: 0s - loss: 4.0428e-06
163/229 [====================>.........] - ETA: 0s - loss: 3.3578e-06
204/229 [=========================>....] - ETA: 0s - loss: 2.8574e-06
229/229 [==============================] - 0s 1ms/step - loss: 5.9006e-06
    1135. 

  1135. Epoch 10/10
    1136. 

  1136. 
  1/229 [..............................] - ETA: 0s - loss: 4.0134e-05
 42/229 [====>.........................] - ETA: 0s - loss: 3.9204e-06
 83/229 [=========>....................] - ETA: 0s - loss: 1.1677e-05
124/229 [===============>..............] - ETA: 0s - loss: 8.0193e-06
165/229 [====================>.........] - ETA: 0s - loss: 6.2091e-06
206/229 [=========================>....] - ETA: 0s - loss: 5.2688e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.8998e-06
    1137. 

  1137. -> test with GAN.predict
    1138. 

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

  1139. GAN fn, tp: 0, 13
    1140. 

  1140. GAN f1 score: 1.000
    1141. 

  1141. GAN cohens kappa score: 1.000
    1142. 

  1142. 

  1143. -> test with 'LR'
    1144. 

  1144. LR tn, fp: 570, 0
    1145. 

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

  1146. LR f1 score: 0.960
    1147. 

  1147. LR cohens kappa score: 0.959
    1148. 

  1148. LR average precision score: 0.986
    1149. 

  1149. 

  1150. -> test with 'RF'
    1151. 

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

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

  1153. RF f1 score: 0.960
    1154. 

  1154. RF cohens kappa score: 0.959
    1155. 

  1155. 

  1156. -> test with 'GB'
    1157. 

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

  1158. GB fn, tp: 0, 13
    1159. 

  1159. GB f1 score: 1.000
    1160. 

  1160. GB cohens kappa score: 1.000
    1161. 

  1161. 

  1162. -> test with 'KNN'
    1163. 

  1163. KNN tn, fp: 568, 2
    1164. 

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

  1165. KNN f1 score: 0.929
    1166. 

  1166. KNN cohens kappa score: 0.927
    1167. 

  1167. 

  1168. 

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

  1170. -> Shuffling data
    1171. 

  1171. -> Spliting data to slices
    1172. 

  1172. 

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

  1174. -> Reset the GAN
    1175. 

  1175. -> Train generator for synthetic samples
    1176. 

  1176. -> create 2219 synthetic samples
    1177. 

  1177. -> retrain GAN for predict
    1178. 

  1178. Epoch 1/10
    1179. 

  1179. 
  1/229 [..............................] - ETA: 49s - loss: 3.5121e-07
 40/229 [====>.........................] - ETA: 0s - loss: 1.6414e-05 
 79/229 [=========>....................] - ETA: 0s - loss: 8.3679e-06
119/229 [==============>...............] - ETA: 0s - loss: 5.6537e-06
159/229 [===================>..........] - ETA: 0s - loss: 2.7728e-04
199/229 [=========================>....] - ETA: 0s - loss: 0.0017    
229/229 [==============================] - 1s 1ms/step - loss: 0.0019
    1180. 

  1180. Epoch 2/10
    1181. 

  1181. 
  1/229 [..............................] - ETA: 0s - loss: 3.6652e-10
 39/229 [====>.........................] - ETA: 0s - loss: 9.9925e-08
 77/229 [=========>....................] - ETA: 0s - loss: 1.3935e-06
116/229 [==============>...............] - ETA: 0s - loss: 9.6201e-07
156/229 [===================>..........] - ETA: 0s - loss: 7.2789e-07
192/229 [========================>.....] - ETA: 0s - loss: 9.6445e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.8513e-04
    1182. 

  1182. Epoch 3/10
    1183. 

  1183. 
  1/229 [..............................] - ETA: 0s - loss: 1.1710e-07
 40/229 [====>.........................] - ETA: 0s - loss: 5.9384e-05
 78/229 [=========>....................] - ETA: 0s - loss: 3.6869e-05
117/229 [==============>...............] - ETA: 0s - loss: 6.4055e-05
155/229 [===================>..........] - ETA: 0s - loss: 5.7640e-05
193/229 [========================>.....] - ETA: 0s - loss: 4.7571e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.8622e-05
    1184. 

  1184. Epoch 4/10
    1185. 

  1185. 
  1/229 [..............................] - ETA: 0s - loss: 7.9103e-09
 40/229 [====>.........................] - ETA: 0s - loss: 2.2819e-06
 79/229 [=========>....................] - ETA: 0s - loss: 1.7529e-06
119/229 [==============>...............] - ETA: 0s - loss: 1.9816e-05
156/229 [===================>..........] - ETA: 0s - loss: 1.5848e-05
196/229 [========================>.....] - ETA: 0s - loss: 1.2652e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.4785e-05
    1186. 

  1186. Epoch 5/10
    1187. 

  1187. 
  1/229 [..............................] - ETA: 0s - loss: 3.7926e-08
 40/229 [====>.........................] - ETA: 0s - loss: 6.1244e-06
 76/229 [========>.....................] - ETA: 0s - loss: 3.9740e-06
114/229 [=============>................] - ETA: 0s - loss: 3.7233e-06
151/229 [==================>...........] - ETA: 0s - loss: 1.5056e-05
189/229 [=======================>......] - ETA: 0s - loss: 1.6118e-05
227/229 [============================>.] - ETA: 0s - loss: 1.3538e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3461e-05
    1188. 

  1188. Epoch 6/10
    1189. 

  1189. 
  1/229 [..............................] - ETA: 0s - loss: 3.3400e-07
 39/229 [====>.........................] - ETA: 0s - loss: 6.7857e-07
 76/229 [========>.....................] - ETA: 0s - loss: 2.3411e-06
114/229 [=============>................] - ETA: 0s - loss: 3.4885e-06
147/229 [==================>...........] - ETA: 0s - loss: 3.0715e-06
181/229 [======================>.......] - ETA: 0s - loss: 2.5182e-06
214/229 [===========================>..] - ETA: 0s - loss: 9.7311e-06
229/229 [==============================] - 0s 1ms/step - loss: 1.1683e-05
    1190. 

  1190. Epoch 7/10
    1191. 

  1191. 
  1/229 [..............................] - ETA: 0s - loss: 2.6804e-09
 39/229 [====>.........................] - ETA: 0s - loss: 1.1023e-06
 77/229 [=========>....................] - ETA: 0s - loss: 2.4014e-05
114/229 [=============>................] - ETA: 0s - loss: 1.6434e-05
149/229 [==================>...........] - ETA: 0s - loss: 1.4511e-05
186/229 [=======================>......] - ETA: 0s - loss: 1.1902e-05
224/229 [============================>.] - ETA: 0s - loss: 1.1049e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0841e-05
    1192. 

  1192. Epoch 8/10
    1193. 

  1193. 
  1/229 [..............................] - ETA: 0s - loss: 7.5511e-10
 41/229 [====>.........................] - ETA: 0s - loss: 5.9092e-08
 81/229 [=========>....................] - ETA: 0s - loss: 2.3456e-06
119/229 [==============>...............] - ETA: 0s - loss: 1.7987e-06
159/229 [===================>..........] - ETA: 0s - loss: 3.0943e-06
198/229 [========================>.....] - ETA: 0s - loss: 9.8788e-06
229/229 [==============================] - 0s 1ms/step - loss: 8.8004e-06
    1194. 

  1194. Epoch 9/10
    1195. 

  1195. 
  1/229 [..............................] - ETA: 0s - loss: 1.9588e-08
 41/229 [====>.........................] - ETA: 0s - loss: 2.1822e-06
 80/229 [=========>....................] - ETA: 0s - loss: 1.7186e-06
118/229 [==============>...............] - ETA: 0s - loss: 9.3230e-06
156/229 [===================>..........] - ETA: 0s - loss: 7.1053e-06
194/229 [========================>.....] - ETA: 0s - loss: 8.8547e-06
229/229 [==============================] - 0s 1ms/step - loss: 7.5450e-06
    1196. 

  1196. Epoch 10/10
    1197. 

  1197. 
  1/229 [..............................] - ETA: 0s - loss: 1.4610e-07
 40/229 [====>.........................] - ETA: 0s - loss: 4.0529e-07
 80/229 [=========>....................] - ETA: 0s - loss: 1.4382e-05
119/229 [==============>...............] - ETA: 0s - loss: 1.1466e-05
158/229 [===================>..........] - ETA: 0s - loss: 9.2085e-06
194/229 [========================>.....] - ETA: 0s - loss: 7.8376e-06
229/229 [==============================] - ETA: 0s - loss: 6.7671e-06
229/229 [==============================] - 0s 1ms/step - loss: 6.7671e-06
    1198. 

  1198. -> test with GAN.predict
    1199. 

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

  1200. GAN fn, tp: 0, 17
    1201. 

  1201. GAN f1 score: 1.000
    1202. 

  1202. GAN cohens kappa score: 1.000
    1203. 

  1203. 

  1204. -> test with 'LR'
    1205. 

  1205. LR tn, fp: 568, 3
    1206. 

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

  1207. LR f1 score: 0.919
    1208. 

  1208. LR cohens kappa score: 0.916
    1209. 

  1209. LR average precision score: 1.000
    1210. 

  1210. 

  1211. -> test with 'RF'
    1212. 

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

  1213. RF fn, tp: 0, 17
    1214. 

  1214. RF f1 score: 1.000
    1215. 

  1215. RF cohens kappa score: 1.000
    1216. 

  1216. 

  1217. -> test with 'GB'
    1218. 

  1218. GB tn, fp: 571, 0
    1219. 

  1219. GB fn, tp: 0, 17
    1220. 

  1220. GB f1 score: 1.000
    1221. 

  1221. GB cohens kappa score: 1.000
    1222. 

  1222. 

  1223. -> test with 'KNN'
    1224. 

  1224. KNN tn, fp: 567, 4
    1225. 

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

  1226. KNN f1 score: 0.895
    1227. 

  1227. KNN cohens kappa score: 0.891
    1228. 

  1228. 

  1229. 

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

  1231. -> Reset the GAN
    1232. 

  1232. -> Train generator for synthetic samples
    1233. 

  1233. -> create 2219 synthetic samples
    1234. 

  1234. -> retrain GAN for predict
    1235. 

  1235. Epoch 1/10
    1236. 

  1236. 
  1/229 [..............................] - ETA: 47s - loss: 2.8341e-11
 41/229 [====>.........................] - ETA: 0s - loss: 9.8122e-04 
 81/229 [=========>....................] - ETA: 0s - loss: 6.0584e-04
121/229 [==============>...............] - ETA: 0s - loss: 4.0978e-04
161/229 [====================>.........] - ETA: 0s - loss: 3.4545e-04
202/229 [=========================>....] - ETA: 0s - loss: 2.7544e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4387e-04
    1237. 

  1237. Epoch 2/10
    1238. 

  1238. 
  1/229 [..............................] - ETA: 0s - loss: 1.3776e-10
 39/229 [====>.........................] - ETA: 0s - loss: 3.7098e-06
 79/229 [=========>....................] - ETA: 0s - loss: 2.2789e-06
119/229 [==============>...............] - ETA: 0s - loss: 1.8704e-05
160/229 [===================>..........] - ETA: 0s - loss: 4.2361e-04
200/229 [=========================>....] - ETA: 0s - loss: 7.7824e-04
229/229 [==============================] - 0s 1ms/step - loss: 6.8276e-04
    1239. 

  1239. Epoch 3/10
    1240. 

  1240. 
  1/229 [..............................] - ETA: 0s - loss: 9.5120e-10
 41/229 [====>.........................] - ETA: 0s - loss: 0.0027    
 80/229 [=========>....................] - ETA: 0s - loss: 0.0014
119/229 [==============>...............] - ETA: 0s - loss: 9.5066e-04
159/229 [===================>..........] - ETA: 0s - loss: 7.1277e-04
197/229 [========================>.....] - ETA: 0s - loss: 6.7105e-04
229/229 [==============================] - 0s 1ms/step - loss: 5.8092e-04
    1241. 

  1241. Epoch 4/10
    1242. 

  1242. 
  1/229 [..............................] - ETA: 0s - loss: 9.2695e-09
 39/229 [====>.........................] - ETA: 0s - loss: 2.2213e-05
 76/229 [========>.....................] - ETA: 0s - loss: 1.4032e-05
114/229 [=============>................] - ETA: 0s - loss: 1.7035e-05
153/229 [===================>..........] - ETA: 0s - loss: 1.2943e-05
192/229 [========================>.....] - ETA: 0s - loss: 2.7817e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.3508e-05
    1243. 

  1243. Epoch 5/10
    1244. 

  1244. 
  1/229 [..............................] - ETA: 0s - loss: 2.8378e-10
 39/229 [====>.........................] - ETA: 0s - loss: 7.7829e-06
 77/229 [=========>....................] - ETA: 0s - loss: 4.5663e-06
116/229 [==============>...............] - ETA: 0s - loss: 3.8682e-06
154/229 [===================>..........] - ETA: 0s - loss: 3.1429e-06
193/229 [========================>.....] - ETA: 0s - loss: 3.2291e-06
226/229 [============================>.] - ETA: 0s - loss: 4.1322e-06
229/229 [==============================] - 0s 1ms/step - loss: 4.0905e-06
    1245. 

  1245. Epoch 6/10
    1246. 

  1246. 
  1/229 [..............................] - ETA: 0s - loss: 1.0550e-05
 33/229 [===>..........................] - ETA: 0s - loss: 1.2593e-06
 65/229 [=======>......................] - ETA: 0s - loss: 1.0802e-06
 98/229 [===========>..................] - ETA: 0s - loss: 8.0299e-07
137/229 [================>.............] - ETA: 0s - loss: 3.5746e-06
175/229 [=====================>........] - ETA: 0s - loss: 3.3813e-06
213/229 [==========================>...] - ETA: 0s - loss: 4.2485e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.9646e-06
    1247. 

  1247. Epoch 7/10
    1248. 

  1248. 
  1/229 [..............................] - ETA: 0s - loss: 1.5046e-09
 39/229 [====>.........................] - ETA: 0s - loss: 3.4655e-06
 76/229 [========>.....................] - ETA: 0s - loss: 4.4435e-06
114/229 [=============>................] - ETA: 0s - loss: 3.3893e-06
155/229 [===================>..........] - ETA: 0s - loss: 4.2115e-06
196/229 [========================>.....] - ETA: 0s - loss: 4.4547e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.8438e-06
    1249. 

  1249. Epoch 8/10
    1250. 

  1250. 
  1/229 [..............................] - ETA: 0s - loss: 1.6323e-09
 40/229 [====>.........................] - ETA: 0s - loss: 1.1355e-06
 81/229 [=========>....................] - ETA: 0s - loss: 6.7579e-07
116/229 [==============>...............] - ETA: 0s - loss: 2.1264e-06
157/229 [===================>..........] - ETA: 0s - loss: 4.5621e-06
175/229 [=====================>........] - ETA: 0s - loss: 4.1191e-06
196/229 [========================>.....] - ETA: 0s - loss: 4.2027e-06
229/229 [==============================] - 0s 2ms/step - loss: 3.6852e-06
    1251. 

  1251. Epoch 9/10
    1252. 

  1252. 
  1/229 [..............................] - ETA: 0s - loss: 4.3286e-10
 46/229 [=====>........................] - ETA: 0s - loss: 5.6684e-06
 90/229 [==========>...................] - ETA: 0s - loss: 4.0106e-06
132/229 [================>.............] - ETA: 0s - loss: 3.8146e-06
171/229 [=====================>........] - ETA: 0s - loss: 3.6511e-06
215/229 [===========================>..] - ETA: 0s - loss: 3.8040e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.6246e-06
    1253. 

  1253. Epoch 10/10
    1254. 

  1254. 
  1/229 [..............................] - ETA: 0s - loss: 1.4611e-09
 45/229 [====>.........................] - ETA: 0s - loss: 4.7459e-06
 91/229 [==========>...................] - ETA: 0s - loss: 2.6852e-06
135/229 [================>.............] - ETA: 0s - loss: 2.2555e-06
179/229 [======================>.......] - ETA: 0s - loss: 4.0423e-06
223/229 [============================>.] - ETA: 0s - loss: 3.2598e-06
229/229 [==============================] - 0s 1ms/step - loss: 3.4735e-06
    1255. 

  1255. -> test with GAN.predict
    1256. 

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

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

  1258. GAN f1 score: 0.971
    1259. 

  1259. GAN cohens kappa score: 0.971
    1260. 

  1260. 

  1261. -> test with 'LR'
    1262. 

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

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

  1264. LR f1 score: 0.971
    1265. 

  1265. LR cohens kappa score: 0.971
    1266. 

  1266. LR average precision score: 0.990
    1267. 

  1267. 

  1268. -> test with 'RF'
    1269. 

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

  1270. RF fn, tp: 0, 17
    1271. 

  1271. RF f1 score: 1.000
    1272. 

  1272. RF cohens kappa score: 1.000
    1273. 

  1273. 

  1274. -> test with 'GB'
    1275. 

  1275. GB tn, fp: 571, 0
    1276. 

  1276. GB fn, tp: 0, 17
    1277. 

  1277. GB f1 score: 1.000
    1278. 

  1278. GB cohens kappa score: 1.000
    1279. 

  1279. 

  1280. -> test with 'KNN'
    1281. 

  1281. KNN tn, fp: 571, 0
    1282. 

  1282. KNN fn, tp: 0, 17
    1283. 

  1283. KNN f1 score: 1.000
    1284. 

  1284. KNN cohens kappa score: 1.000
    1285. 

  1285. 

  1286. 

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

  1288. -> Reset the GAN
    1289. 

  1289. -> Train generator for synthetic samples
    1290. 

  1290. -> create 2219 synthetic samples
    1291. 

  1291. -> retrain GAN for predict
    1292. 

  1292. Epoch 1/10
    1293. 

  1293. 
  1/229 [..............................] - ETA: 49s - loss: 5.5645e-10
 42/229 [====>.........................] - ETA: 0s - loss: 0.0055     
 83/229 [=========>....................] - ETA: 0s - loss: 0.0075
122/229 [==============>...............] - ETA: 0s - loss: 0.0051
163/229 [====================>.........] - ETA: 0s - loss: 0.0047
204/229 [=========================>....] - ETA: 0s - loss: 0.0039
229/229 [==============================] - 1s 1ms/step - loss: 0.0035
    1294. 

  1294. Epoch 2/10
    1295. 

  1295. 
  1/229 [..............................] - ETA: 0s - loss: 3.0108e-09
 40/229 [====>.........................] - ETA: 0s - loss: 3.2237e-05
 78/229 [=========>....................] - ETA: 0s - loss: 1.7446e-05
116/229 [==============>...............] - ETA: 0s - loss: 1.3007e-05
156/229 [===================>..........] - ETA: 0s - loss: 1.0518e-04
194/229 [========================>.....] - ETA: 0s - loss: 8.6642e-05
229/229 [==============================] - 0s 1ms/step - loss: 7.5638e-05
    1296. 

  1296. Epoch 3/10
    1297. 

  1297. 
  1/229 [..............................] - ETA: 0s - loss: 2.1071e-09
 39/229 [====>.........................] - ETA: 0s - loss: 1.0318e-04
 78/229 [=========>....................] - ETA: 0s - loss: 5.1792e-05
118/229 [==============>...............] - ETA: 0s - loss: 3.8267e-05
157/229 [===================>..........] - ETA: 0s - loss: 3.0256e-05
195/229 [========================>.....] - ETA: 0s - loss: 2.4957e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.1960e-05
    1298. 

  1298. Epoch 4/10
    1299. 

  1299. 
  1/229 [..............................] - ETA: 0s - loss: 1.0043e-06
 40/229 [====>.........................] - ETA: 0s - loss: 4.9933e-05
 79/229 [=========>....................] - ETA: 0s - loss: 3.2606e-05
118/229 [==============>...............] - ETA: 0s - loss: 2.4464e-05
157/229 [===================>..........] - ETA: 0s - loss: 1.8512e-05
198/229 [========================>.....] - ETA: 0s - loss: 2.7271e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.3867e-05
    1300. 

  1300. Epoch 5/10
    1301. 

  1301. 
  1/229 [..............................] - ETA: 0s - loss: 7.1025e-10
 40/229 [====>.........................] - ETA: 0s - loss: 3.5361e-06
 78/229 [=========>....................] - ETA: 0s - loss: 1.1807e-05
119/229 [==============>...............] - ETA: 0s - loss: 9.4789e-06
158/229 [===================>..........] - ETA: 0s - loss: 7.4276e-06
195/229 [========================>.....] - ETA: 0s - loss: 2.3177e-05
229/229 [==============================] - ETA: 0s - loss: 2.0606e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.0606e-05
    1302. 

  1302. Epoch 6/10
    1303. 

  1303. 
  1/229 [..............................] - ETA: 0s - loss: 7.0731e-09
 38/229 [===>..........................] - ETA: 0s - loss: 1.1845e-06
 78/229 [=========>....................] - ETA: 0s - loss: 1.2000e-05
118/229 [==============>...............] - ETA: 0s - loss: 1.1481e-05
159/229 [===================>..........] - ETA: 0s - loss: 1.0051e-05
199/229 [=========================>....] - ETA: 0s - loss: 1.8690e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.6353e-05
    1304. 

  1304. Epoch 7/10
    1305. 

  1305. 
  1/229 [..............................] - ETA: 0s - loss: 2.2482e-08
 42/229 [====>.........................] - ETA: 0s - loss: 1.3919e-06
 78/229 [=========>....................] - ETA: 0s - loss: 4.3640e-06
113/229 [=============>................] - ETA: 0s - loss: 5.6863e-06
149/229 [==================>...........] - ETA: 0s - loss: 4.8189e-06
188/229 [=======================>......] - ETA: 0s - loss: 8.2264e-06
227/229 [============================>.] - ETA: 0s - loss: 1.3978e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.3898e-05
    1306. 

  1306. Epoch 8/10
    1307. 

  1307. 
  1/229 [..............................] - ETA: 0s - loss: 8.1988e-09
 39/229 [====>.........................] - ETA: 0s - loss: 5.5589e-06
 77/229 [=========>....................] - ETA: 0s - loss: 4.3865e-06
116/229 [==============>...............] - ETA: 0s - loss: 5.4837e-06
155/229 [===================>..........] - ETA: 0s - loss: 1.1739e-05
193/229 [========================>.....] - ETA: 0s - loss: 1.3503e-05
228/229 [============================>.] - ETA: 0s - loss: 1.2337e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.2321e-05
    1308. 

  1308. Epoch 9/10
    1309. 

  1309. 
  1/229 [..............................] - ETA: 0s - loss: 3.4412e-09
 38/229 [===>..........................] - ETA: 0s - loss: 1.2007e-06
 73/229 [========>.....................] - ETA: 0s - loss: 8.4203e-06
112/229 [=============>................] - ETA: 0s - loss: 1.8131e-05
152/229 [==================>...........] - ETA: 0s - loss: 1.4255e-05
191/229 [========================>.....] - ETA: 0s - loss: 1.2593e-05
229/229 [==============================] - 0s 1ms/step - loss: 1.0582e-05
    1310. 

  1310. Epoch 10/10
    1311. 

  1311. 
  1/229 [..............................] - ETA: 0s - loss: 1.6895e-08
 37/229 [===>..........................] - ETA: 0s - loss: 7.0893e-06
 76/229 [========>.....................] - ETA: 0s - loss: 1.4650e-05
116/229 [==============>...............] - ETA: 0s - loss: 1.5231e-05
157/229 [===================>..........] - ETA: 0s - loss: 1.1929e-05
197/229 [========================>.....] - ETA: 0s - loss: 1.0819e-05
229/229 [==============================] - 0s 1ms/step - loss: 9.4684e-06
    1312. 

  1312. -> test with GAN.predict
    1313. 

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

  1314. GAN fn, tp: 0, 17
    1315. 

  1315. GAN f1 score: 1.000
    1316. 

  1316. GAN cohens kappa score: 1.000
    1317. 

  1317. 

  1318. -> test with 'LR'
    1319. 

  1319. LR tn, fp: 571, 0
    1320. 

  1320. LR fn, tp: 1, 16
    1321. 

  1321. LR f1 score: 0.970
    1322. 

  1322. LR cohens kappa score: 0.969
    1323. 

  1323. LR average precision score: 0.991
    1324. 

  1324. 

  1325. -> test with 'RF'
    1326. 

  1326. RF tn, fp: 571, 0
    1327. 

  1327. RF fn, tp: 0, 17
    1328. 

  1328. RF f1 score: 1.000
    1329. 

  1329. RF cohens kappa score: 1.000
    1330. 

  1330. 

  1331. -> test with 'GB'
    1332. 

  1332. GB tn, fp: 571, 0
    1333. 

  1333. GB fn, tp: 0, 17
    1334. 

  1334. GB f1 score: 1.000
    1335. 

  1335. GB cohens kappa score: 1.000
    1336. 

  1336. 

  1337. -> test with 'KNN'
    1338. 

  1338. KNN tn, fp: 566, 5
    1339. 

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

  1340. KNN f1 score: 0.872
    1341. 

  1341. KNN cohens kappa score: 0.867
    1342. 

  1342. 

  1343. 

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

  1345. -> Reset the GAN
    1346. 

  1346. -> Train generator for synthetic samples
    1347. 

  1347. -> create 2219 synthetic samples
    1348. 

  1348. -> retrain GAN for predict
    1349. 

  1349. Epoch 1/10
    1350. 

  1350. 
  1/229 [..............................] - ETA: 58s - loss: 1.5177e-10
 36/229 [===>..........................] - ETA: 0s - loss: 4.2198e-05 
 69/229 [========>.....................] - ETA: 0s - loss: 2.4155e-04
 98/229 [===========>..................] - ETA: 0s - loss: 0.0063    
133/229 [================>.............] - ETA: 0s - loss: 0.0051
171/229 [=====================>........] - ETA: 0s - loss: 0.0040
209/229 [==========================>...] - ETA: 0s - loss: 0.0035
229/229 [==============================] - 1s 1ms/step - loss: 0.0033
    1351. 

  1351. Epoch 2/10
    1352. 

  1352. 
  1/229 [..............................] - ETA: 0s - loss: 0.0193
 40/229 [====>.........................] - ETA: 0s - loss: 0.0015
 77/229 [=========>....................] - ETA: 0s - loss: 0.0011
114/229 [=============>................] - ETA: 0s - loss: 0.0029
151/229 [==================>...........] - ETA: 0s - loss: 0.0023
188/229 [=======================>......] - ETA: 0s - loss: 0.0019
227/229 [============================>.] - ETA: 0s - loss: 0.0016
229/229 [==============================] - 0s 1ms/step - loss: 0.0016
    1353. 

  1353. Epoch 3/10
    1354. 

  1354. 
  1/229 [..............................] - ETA: 0s - loss: 3.6128e-08
 38/229 [===>..........................] - ETA: 0s - loss: 1.6212e-05
 77/229 [=========>....................] - ETA: 0s - loss: 3.7031e-05
115/229 [==============>...............] - ETA: 0s - loss: 2.4814e-05
153/229 [===================>..........] - ETA: 0s - loss: 1.9422e-05
189/229 [=======================>......] - ETA: 0s - loss: 2.7018e-04
224/229 [============================>.] - ETA: 0s - loss: 2.2902e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.2471e-04
    1355. 

  1355. Epoch 4/10
    1356. 

  1356. 
  1/229 [..............................] - ETA: 0s - loss: 2.6339e-09
 39/229 [====>.........................] - ETA: 0s - loss: 1.2023e-06
 77/229 [=========>....................] - ETA: 0s - loss: 1.0012e-06
113/229 [=============>................] - ETA: 0s - loss: 8.8460e-05
152/229 [==================>...........] - ETA: 0s - loss: 1.5912e-04
191/229 [========================>.....] - ETA: 0s - loss: 1.3419e-04
227/229 [============================>.] - ETA: 0s - loss: 1.2104e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.2035e-04
    1357. 

  1357. Epoch 5/10
    1358. 

  1358. 
  1/229 [..............................] - ETA: 0s - loss: 8.1173e-09
 35/229 [===>..........................] - ETA: 0s - loss: 1.0855e-04
 72/229 [========>.....................] - ETA: 0s - loss: 6.6956e-05
105/229 [============>.................] - ETA: 0s - loss: 4.6571e-05
139/229 [=================>............] - ETA: 0s - loss: 5.1932e-05
175/229 [=====================>........] - ETA: 0s - loss: 5.3214e-05
210/229 [==========================>...] - ETA: 0s - loss: 5.0508e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.6461e-05
    1359. 

  1359. Epoch 6/10
    1360. 

  1360. 
  1/229 [..............................] - ETA: 0s - loss: 4.7949e-09
 34/229 [===>..........................] - ETA: 0s - loss: 1.5053e-05
 69/229 [========>.....................] - ETA: 0s - loss: 1.2659e-04
102/229 [============>.................] - ETA: 0s - loss: 8.9319e-05
141/229 [=================>............] - ETA: 0s - loss: 6.8148e-05
175/229 [=====================>........] - ETA: 0s - loss: 5.4924e-05
209/229 [==========================>...] - ETA: 0s - loss: 4.6478e-05
229/229 [==============================] - 0s 1ms/step - loss: 4.5191e-05
    1361. 

  1361. Epoch 7/10
    1362. 

  1362. 
  1/229 [..............................] - ETA: 0s - loss: 8.0153e-07
 33/229 [===>..........................] - ETA: 0s - loss: 1.1403e-05
 57/229 [======>.......................] - ETA: 0s - loss: 7.1901e-06
 94/229 [===========>..................] - ETA: 0s - loss: 7.3986e-06
129/229 [===============>..............] - ETA: 0s - loss: 5.6941e-06
166/229 [====================>.........] - ETA: 0s - loss: 6.4978e-06
196/229 [========================>.....] - ETA: 0s - loss: 1.6648e-05
228/229 [============================>.] - ETA: 0s - loss: 3.9327e-05
229/229 [==============================] - 0s 2ms/step - loss: 3.9276e-05
    1363. 

  1363. Epoch 8/10
    1364. 

  1364. 
  1/229 [..............................] - ETA: 0s - loss: 8.5367e-09
 32/229 [===>..........................] - ETA: 0s - loss: 8.9930e-05
 70/229 [========>.....................] - ETA: 0s - loss: 4.6357e-05
102/229 [============>.................] - ETA: 0s - loss: 3.3605e-05
137/229 [================>.............] - ETA: 0s - loss: 4.5721e-05
171/229 [=====================>........] - ETA: 0s - loss: 4.1678e-05
204/229 [=========================>....] - ETA: 0s - loss: 3.4947e-05
229/229 [==============================] - 0s 2ms/step - loss: 3.2480e-05
    1365. 

  1365. Epoch 9/10
    1366. 

  1366. 
  1/229 [..............................] - ETA: 0s - loss: 7.8529e-09
 33/229 [===>..........................] - ETA: 0s - loss: 3.2271e-05
 66/229 [=======>......................] - ETA: 0s - loss: 5.7564e-05
104/229 [============>.................] - ETA: 0s - loss: 3.7866e-05
138/229 [=================>............] - ETA: 0s - loss: 4.5280e-05
174/229 [=====================>........] - ETA: 0s - loss: 3.5923e-05
206/229 [=========================>....] - ETA: 0s - loss: 3.0537e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.7590e-05
    1367. 

  1367. Epoch 10/10
    1368. 

  1368. 
  1/229 [..............................] - ETA: 0s - loss: 4.3812e-08
 36/229 [===>..........................] - ETA: 0s - loss: 1.7817e-05
 70/229 [========>.....................] - ETA: 0s - loss: 1.7277e-05
108/229 [=============>................] - ETA: 0s - loss: 3.8477e-05
141/229 [=================>............] - ETA: 0s - loss: 2.9579e-05
179/229 [======================>.......] - ETA: 0s - loss: 3.4190e-05
212/229 [==========================>...] - ETA: 0s - loss: 2.9609e-05
229/229 [==============================] - 0s 1ms/step - loss: 2.7548e-05
    1369. 

  1369. -> test with GAN.predict
    1370. 

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

  1371. GAN fn, tp: 0, 17
    1372. 

  1372. GAN f1 score: 1.000
    1373. 

  1373. GAN cohens kappa score: 1.000
    1374. 

  1374. 

  1375. -> test with 'LR'
    1376. 

  1376. LR tn, fp: 570, 1
    1377. 

  1377. LR fn, tp: 2, 15
    1378. 

  1378. LR f1 score: 0.909
    1379. 

  1379. LR cohens kappa score: 0.906
    1380. 

  1380. LR average precision score: 0.990
    1381. 

  1381. 

  1382. -> test with 'RF'
    1383. 

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

  1384. RF fn, tp: 0, 17
    1385. 

  1385. RF f1 score: 1.000
    1386. 

  1386. RF cohens kappa score: 1.000
    1387. 

  1387. 

  1388. -> test with 'GB'
    1389. 

  1389. GB tn, fp: 571, 0
    1390. 

  1390. GB fn, tp: 0, 17
    1391. 

  1391. GB f1 score: 1.000
    1392. 

  1392. GB cohens kappa score: 1.000
    1393. 

  1393. 

  1394. -> test with 'KNN'
    1395. 

  1395. KNN tn, fp: 569, 2
    1396. 

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

  1397. KNN f1 score: 0.944
    1398. 

  1398. KNN cohens kappa score: 0.943
    1399. 

  1399. 

  1400. 

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

  1402. -> Reset the GAN
    1403. 

  1403. -> Train generator for synthetic samples
    1404. 

  1404. -> create 2216 synthetic samples
    1405. 

  1405. -> retrain GAN for predict
    1406. 

  1406. Epoch 1/10
    1407. 

  1407. 
  1/229 [..............................] - ETA: 43s - loss: 5.4592e-11
 33/229 [===>..........................] - ETA: 0s - loss: 3.6768e-04 
 72/229 [========>.....................] - ETA: 0s - loss: 0.0017    
105/229 [============>.................] - ETA: 0s - loss: 0.0012
135/229 [================>.............] - ETA: 0s - loss: 0.0020
172/229 [=====================>........] - ETA: 0s - loss: 0.0016
211/229 [==========================>...] - ETA: 0s - loss: 0.0024
229/229 [==============================] - 1s 1ms/step - loss: 0.0024
    1408. 

  1408. Epoch 2/10
    1409. 

  1409. 
  1/229 [..............................] - ETA: 0s - loss: 3.8724e-09
 30/229 [==>...........................] - ETA: 0s - loss: 0.0092    
 66/229 [=======>......................] - ETA: 0s - loss: 0.0042
 97/229 [===========>..................] - ETA: 0s - loss: 0.0029
136/229 [================>.............] - ETA: 0s - loss: 0.0022
177/229 [======================>.......] - ETA: 0s - loss: 0.0017
217/229 [===========================>..] - ETA: 0s - loss: 0.0014
229/229 [==============================] - 0s 1ms/step - loss: 0.0013
    1410. 

  1410. Epoch 3/10
    1411. 

  1411. 
  1/229 [..............................] - ETA: 0s - loss: 5.6558e-10
 28/229 [==>...........................] - ETA: 0s - loss: 7.1352e-05
 64/229 [=======>......................] - ETA: 0s - loss: 4.2959e-05
104/229 [============>.................] - ETA: 0s - loss: 2.7202e-05
140/229 [=================>............] - ETA: 0s - loss: 2.0353e-05
169/229 [=====================>........] - ETA: 0s - loss: 1.8767e-05
206/229 [=========================>....] - ETA: 0s - loss: 5.5433e-04
229/229 [==============================] - 0s 2ms/step - loss: 5.0096e-04
    1412. 

  1412. Epoch 4/10
    1413. 

  1413. 
  1/229 [..............................] - ETA: 0s - loss: 5.3711e-09
 38/229 [===>..........................] - ETA: 0s - loss: 0.0013    
 77/229 [=========>....................] - ETA: 0s - loss: 6.5345e-04
110/229 [=============>................] - ETA: 0s - loss: 4.5745e-04
138/229 [=================>............] - ETA: 0s - loss: 3.6605e-04
174/229 [=====================>........] - ETA: 0s - loss: 3.0048e-04
211/229 [==========================>...] - ETA: 0s - loss: 2.5889e-04
229/229 [==============================] - 0s 1ms/step - loss: 2.4217e-04
    1414. 

  1414. Epoch 5/10
    1415. 

  1415. 
  1/229 [..............................] - ETA: 0s - loss: 1.9638e-07
 37/229 [===>..........................] - ETA: 0s - loss: 3.8518e-06
 72/229 [========>.....................] - ETA: 0s - loss: 3.9985e-06
108/229 [=============>................] - ETA: 0s - loss: 5.6326e-06
135/229 [================>.............] - ETA: 0s - loss: 7.4129e-06
166/229 [====================>.........] - ETA: 0s - loss: 1.5172e-05
209/229 [==========================>...] - ETA: 0s - loss: 3.3366e-04
229/229 [==============================] - 0s 1ms/step - loss: 3.0977e-04
    1416. 

  1416. Epoch 6/10
    1417. 

  1417. 
  1/229 [..............................] - ETA: 0s - loss: 2.3098e-08
 37/229 [===>..........................] - ETA: 0s - loss: 0.0013    
 69/229 [========>.....................] - ETA: 0s - loss: 7.2297e-04
107/229 [=============>................] - ETA: 0s - loss: 5.9052e-04
147/229 [==================>...........] - ETA: 0s - loss: 4.6389e-04
186/229 [=======================>......] - ETA: 0s - loss: 4.8308e-04
219/229 [===========================>..] - ETA: 0s - loss: 4.1297e-04
229/229 [==============================] - 0s 1ms/step - loss: 4.0202e-04
    1418. 

  1418. Epoch 7/10
    1419. 

  1419. 
  1/229 [..............................] - ETA: 0s - loss: 7.4075e-07
 40/229 [====>.........................] - ETA: 0s - loss: 3.5713e-06
 76/229 [========>.....................] - ETA: 0s - loss: 9.1625e-05
114/229 [=============>................] - ETA: 0s - loss: 8.2200e-05
154/229 [===================>..........] - ETA: 0s - loss: 6.1039e-05
187/229 [=======================>......] - ETA: 0s - loss: 8.8424e-05
216/229 [===========================>..] - ETA: 0s - loss: 7.6565e-05
229/229 [==============================] - 0s 1ms/step - loss: 7.6283e-05
    1420. 

  1420. Epoch 8/10
    1421. 

  1421. 
  1/229 [..............................] - ETA: 0s - loss: 1.2583e-08
 39/229 [====>.........................] - ETA: 0s - loss: 4.3990e-05
 79/229 [=========>....................] - ETA: 0s - loss: 2.5047e-05
113/229 [=============>................] - ETA: 0s - loss: 1.7826e-05
150/229 [==================>...........] - ETA: 0s - loss: 1.3690e-05
188/229 [=======================>......] - ETA: 0s - loss: 1.1185e-04
219/229 [===========================>..] - ETA: 0s - loss: 1.0875e-04
229/229 [==============================] - 0s 1ms/step - loss: 1.0823e-04
    1422. 

  1422. Epoch 9/10
    1423. 

  1423. 
  1/229 [..............................] - ETA: 0s - loss: 1.5348e-08
 39/229 [====>.........................] - ETA: 0s - loss: 1.0467e-04
 75/229 [========>.....................] - ETA: 0s - loss: 5.4788e-05
102/229 [============>.................] - ETA: 0s - loss: 4.3358e-05
137/229 [================>.............] - ETA: 0s - loss: 3.5182e-05
174/229 [=====================>........] - ETA: 0s - loss: 7.9360e-05
214/229 [===========================>..] - ETA: 0s - loss: 6.5119e-05
229/229 [==============================] - 0s 1ms/step - loss: 6.1021e-05
    1424. 

  1424. Epoch 10/10
    1425. 

  1425. 
  1/229 [..............................] - ETA: 0s - loss: 3.0136e-08
 35/229 [===>..........................] - ETA: 0s - loss: 4.3120e-05
 68/229 [=======>......................] - ETA: 0s - loss: 9.7424e-05
 96/229 [===========>..................] - ETA: 0s - loss: 6.9586e-05
132/229 [================>.............] - ETA: 0s - loss: 7.7295e-05
168/229 [=====================>........] - ETA: 0s - loss: 6.2578e-05
198/229 [========================>.....] - ETA: 0s - loss: 5.3285e-05
226/229 [============================>.] - ETA: 0s - loss: 4.7105e-05
229/229 [==============================] - 0s 2ms/step - loss: 4.6623e-05
    1426. 

  1426. -> test with GAN.predict
    1427. 

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

  1428. GAN fn, tp: 0, 13
    1429. 

  1429. GAN f1 score: 1.000
    1430. 

  1430. GAN cohens kappa score: 1.000
    1431. 

  1431. 

  1432. -> test with 'LR'
    1433. 

  1433. LR tn, fp: 570, 0
    1434. 

  1434. LR fn, tp: 0, 13
    1435. 

  1435. LR f1 score: 1.000
    1436. 

  1436. LR cohens kappa score: 1.000
    1437. 

  1437. LR average precision score: 1.000
    1438. 

  1438. 

  1439. -> test with 'RF'
    1440. 

  1440. RF tn, fp: 570, 0
    1441. 

  1441. RF fn, tp: 0, 13
    1442. 

  1442. RF f1 score: 1.000
    1443. 

  1443. RF cohens kappa score: 1.000
    1444. 

  1444. 

  1445. -> test with 'GB'
    1446. 

  1446. GB tn, fp: 570, 0
    1447. 

  1447. GB fn, tp: 0, 13
    1448. 

  1448. GB f1 score: 1.000
    1449. 

  1449. GB cohens kappa score: 1.000
    1450. 

  1450. 

  1451. -> test with 'KNN'
    1452. 

  1452. KNN tn, fp: 568, 2
    1453. 

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

  1454. KNN f1 score: 0.929
    1455. 

  1455. KNN cohens kappa score: 0.927
    1456. 

  1456. 

  1457. ### Exercise is done.
    1458. 

  1458. 

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

  1460. maximum:
    1461. 

  1461. LR tn, fp: 571, 4
    1462. 

  1462. LR fn, tp: 2, 17
    1463. 

  1463. LR f1 score: 1.000
    1464. 

  1464. LR cohens kappa score: 1.000
    1465. 

  1465. LR average precision score: 1.000
    1466. 

  1466. 

  1467. 

  1468. average:
    1469. 

  1469. LR tn, fp: 570.04, 0.76
    1470. 

  1470. LR fn, tp: 0.44, 15.76
    1471. 

  1471. LR f1 score: 0.963
    1472. 

  1472. LR cohens kappa score: 0.962
    1473. 

  1473. LR average precision score: 0.990
    1474. 

  1474. 

  1475. 

  1476. minimum:
    1477. 

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

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

  1479. LR f1 score: 0.828
    1480. 

  1480. LR cohens kappa score: 0.823
    1481. 

  1481. LR average precision score: 0.911
    1482. 

  1482. 

  1483. 

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

  1485. maximum:
    1486. 

  1486. RF tn, fp: 571, 1
    1487. 

  1487. RF fn, tp: 2, 17
    1488. 

  1488. RF f1 score: 1.000
    1489. 

  1489. RF cohens kappa score: 1.000
    1490. 

  1490. 

  1491. 

  1492. average:
    1493. 

  1493. RF tn, fp: 570.76, 0.04
    1494. 

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

  1495. RF f1 score: 0.992
    1496. 

  1496. RF cohens kappa score: 0.992
    1497. 

  1497. 

  1498. 

  1499. minimum:
    1500. 

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

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

  1502. RF f1 score: 0.938
    1503. 

  1503. RF cohens kappa score: 0.936
    1504. 

  1504. 

  1505. 

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

  1507. maximum:
    1508. 

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

  1509. GB fn, tp: 0, 17
    1510. 

  1510. GB f1 score: 1.000
    1511. 

  1511. GB cohens kappa score: 1.000
    1512. 

  1512. 

  1513. 

  1514. average:
    1515. 

  1515. GB tn, fp: 570.64, 0.16
    1516. 

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

  1517. GB f1 score: 0.995
    1518. 

  1518. GB cohens kappa score: 0.995
    1519. 

  1519. 

  1520. 

  1521. minimum:
    1522. 

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

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

  1524. GB f1 score: 0.929
    1525. 

  1525. GB cohens kappa score: 0.927
    1526. 

  1526. 

  1527. 

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

  1529. maximum:
    1530. 

  1530. KNN tn, fp: 571, 6
    1531. 

  1531. KNN fn, tp: 1, 17
    1532. 

  1532. KNN f1 score: 1.000
    1533. 

  1533. KNN cohens kappa score: 1.000
    1534. 

  1534. 

  1535. 

  1536. average:
    1537. 

  1537. KNN tn, fp: 568.16, 2.64
    1538. 

  1538. KNN fn, tp: 0.04, 16.16
    1539. 

  1539. KNN f1 score: 0.925
    1540. 

  1540. KNN cohens kappa score: 0.923
    1541. 

  1541. 

  1542. 

  1543. minimum:
    1544. 

  1544. KNN tn, fp: 565, 0
    1545. 

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

  1546. KNN f1 score: 0.850
    1547. 

  1547. KNN cohens kappa score: 0.845
    1548. 

  1548. 

  1549. 

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

  1551. maximum:
    1552. 

  1552. GAN tn, fp: 571, 1
    1553. 

  1553. GAN fn, tp: 0, 17
    1554. 

  1554. GAN f1 score: 1.000
    1555. 

  1555. GAN cohens kappa score: 1.000
    1556. 

  1556. 

  1557. 

  1558. average:
    1559. 

  1559. GAN tn, fp: 570.68, 0.12
    1560. 

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

  1561. GAN f1 score: 0.996
    1562. 

  1562. GAN cohens kappa score: 0.996
    1563. 

  1563. 

  1564. 

  1565. minimum:
    1566. 

  1566. GAN tn, fp: 569, 0
    1567. 

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

  1568. GAN f1 score: 0.963
    1569. 

  1569. GAN cohens kappa score: 0.962
    1570. 

  1570.