ConvGeNBenchmarkResults/data_result/convGAN-proximity-full/folding_winequality-red-4.log

///////////////////////////////////////////
// Running convGAN-proximary-full on folding_winequality-red-4
///////////////////////////////////////////

Load 'data_input/folding_winequality-red-4'
from pickle file
Data loaded.
-> Shuffling data
### Start exercise for synthetic point generator

====== Step 1/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 1/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 18s - loss: 0.1675
 43/124 [=========>....................] - ETA: 0s - loss: 0.5185 
 85/124 [===================>..........] - ETA: 0s - loss: 0.5056
124/124 [==============================] - 0s 1ms/step - loss: 0.4648
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3042
 38/124 [========>.....................] - ETA: 0s - loss: 0.3711
 72/124 [================>.............] - ETA: 0s - loss: 0.3907
105/124 [========================>.....] - ETA: 0s - loss: 0.3897
124/124 [==============================] - 0s 1ms/step - loss: 0.3905
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.5125
 42/124 [=========>....................] - ETA: 0s - loss: 0.3843
 83/124 [===================>..........] - ETA: 0s - loss: 0.3729
121/124 [============================>.] - ETA: 0s - loss: 0.3694
124/124 [==============================] - 0s 1ms/step - loss: 0.3676
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2643
 43/124 [=========>....................] - ETA: 0s - loss: 0.3818
 76/124 [=================>............] - ETA: 0s - loss: 0.3551
116/124 [===========================>..] - ETA: 0s - loss: 0.3536
124/124 [==============================] - 0s 1ms/step - loss: 0.3571
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.1444
 40/124 [========>.....................] - ETA: 0s - loss: 0.3472
 81/124 [==================>...........] - ETA: 0s - loss: 0.3490
123/124 [============================>.] - ETA: 0s - loss: 0.3574
124/124 [==============================] - 0s 1ms/step - loss: 0.3573
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3478
 42/124 [=========>....................] - ETA: 0s - loss: 0.3362
 84/124 [===================>..........] - ETA: 0s - loss: 0.3503
124/124 [==============================] - 0s 1ms/step - loss: 0.3539
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.1710
 42/124 [=========>....................] - ETA: 0s - loss: 0.3367
 83/124 [===================>..........] - ETA: 0s - loss: 0.3565
124/124 [==============================] - ETA: 0s - loss: 0.3539
124/124 [==============================] - 0s 1ms/step - loss: 0.3539
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2874
 43/124 [=========>....................] - ETA: 0s - loss: 0.3689
 85/124 [===================>..........] - ETA: 0s - loss: 0.3462
124/124 [==============================] - 0s 1ms/step - loss: 0.3480
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4710
 43/124 [=========>....................] - ETA: 0s - loss: 0.3588
 85/124 [===================>..........] - ETA: 0s - loss: 0.3663
124/124 [==============================] - 0s 1ms/step - loss: 0.3479
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2969
 42/124 [=========>....................] - ETA: 0s - loss: 0.3141
 84/124 [===================>..........] - ETA: 0s - loss: 0.3154
124/124 [==============================] - ETA: 0s - loss: 0.3387
124/124 [==============================] - 0s 1ms/step - loss: 0.3387
-> test with GAN.predict
GAN tn, fp: 228, 82
GAN fn, tp: 6, 5
GAN f1 score: 0.102
GAN cohens kappa score: 0.044

-> test with 'LR'
LR tn, fp: 214, 96
LR fn, tp: 4, 7
LR f1 score: 0.123
LR cohens kappa score: 0.065
LR average precision score: 0.136

-> test with 'RF'
RF tn, fp: 301, 9
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.032

-> test with 'GB'
GB tn, fp: 292, 18
GB fn, tp: 11, 0
GB f1 score: 0.000
GB cohens kappa score: -0.044

-> test with 'KNN'
KNN tn, fp: 227, 83
KNN fn, tp: 8, 3
KNN f1 score: 0.062
KNN cohens kappa score: 0.001


------ Step 1/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 1.4279
 41/124 [========>.....................] - ETA: 0s - loss: 0.5383 
 80/124 [==================>...........] - ETA: 0s - loss: 0.5324
121/124 [============================>.] - ETA: 0s - loss: 0.5031
124/124 [==============================] - 0s 1ms/step - loss: 0.4995
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2471
 41/124 [========>.....................] - ETA: 0s - loss: 0.4169
 79/124 [==================>...........] - ETA: 0s - loss: 0.4129
120/124 [============================>.] - ETA: 0s - loss: 0.3787
124/124 [==============================] - 0s 1ms/step - loss: 0.3848
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.2987
 42/124 [=========>....................] - ETA: 0s - loss: 0.3038
 82/124 [==================>...........] - ETA: 0s - loss: 0.3446
122/124 [============================>.] - ETA: 0s - loss: 0.3421
124/124 [==============================] - 0s 1ms/step - loss: 0.3416
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2633
 42/124 [=========>....................] - ETA: 0s - loss: 0.3075
 82/124 [==================>...........] - ETA: 0s - loss: 0.3326
121/124 [============================>.] - ETA: 0s - loss: 0.3287
124/124 [==============================] - 0s 1ms/step - loss: 0.3266
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2257
 41/124 [========>.....................] - ETA: 0s - loss: 0.3055
 81/124 [==================>...........] - ETA: 0s - loss: 0.3130
122/124 [============================>.] - ETA: 0s - loss: 0.3198
124/124 [==============================] - 0s 1ms/step - loss: 0.3206
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3755
 42/124 [=========>....................] - ETA: 0s - loss: 0.3196
 83/124 [===================>..........] - ETA: 0s - loss: 0.3272
123/124 [============================>.] - ETA: 0s - loss: 0.3188
124/124 [==============================] - 0s 1ms/step - loss: 0.3192
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3546
 42/124 [=========>....................] - ETA: 0s - loss: 0.2721
 82/124 [==================>...........] - ETA: 0s - loss: 0.3030
122/124 [============================>.] - ETA: 0s - loss: 0.3056
124/124 [==============================] - 0s 1ms/step - loss: 0.3100
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.7163
 40/124 [========>.....................] - ETA: 0s - loss: 0.3002
 80/124 [==================>...........] - ETA: 0s - loss: 0.2938
120/124 [============================>.] - ETA: 0s - loss: 0.2938
124/124 [==============================] - 0s 1ms/step - loss: 0.2964
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.6696
 42/124 [=========>....................] - ETA: 0s - loss: 0.3017
 83/124 [===================>..........] - ETA: 0s - loss: 0.3012
123/124 [============================>.] - ETA: 0s - loss: 0.2954
124/124 [==============================] - 0s 1ms/step - loss: 0.2946
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4239
 42/124 [=========>....................] - ETA: 0s - loss: 0.3094
 83/124 [===================>..........] - ETA: 0s - loss: 0.3177
123/124 [============================>.] - ETA: 0s - loss: 0.3037
124/124 [==============================] - 0s 1ms/step - loss: 0.3034
-> test with GAN.predict
GAN tn, fp: 288, 22
GAN fn, tp: 9, 2
GAN f1 score: 0.114
GAN cohens kappa score: 0.071

-> test with 'LR'
LR tn, fp: 226, 84
LR fn, tp: 3, 8
LR f1 score: 0.155
LR cohens kappa score: 0.100
LR average precision score: 0.128

-> test with 'RF'
RF tn, fp: 299, 11
RF fn, tp: 10, 1
RF f1 score: 0.087
RF cohens kappa score: 0.053

-> test with 'GB'
GB tn, fp: 295, 15
GB fn, tp: 10, 1
GB f1 score: 0.074
GB cohens kappa score: 0.035

-> test with 'KNN'
KNN tn, fp: 247, 63
KNN fn, tp: 9, 2
KNN f1 score: 0.053
KNN cohens kappa score: -0.006


------ Step 1/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 20s - loss: 0.9236
 38/124 [========>.....................] - ETA: 0s - loss: 0.5856 
 71/124 [================>.............] - ETA: 0s - loss: 0.5540
100/124 [=======================>......] - ETA: 0s - loss: 0.5227
124/124 [==============================] - 0s 2ms/step - loss: 0.5236
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3058
 37/124 [=======>......................] - ETA: 0s - loss: 0.4066
 74/124 [================>.............] - ETA: 0s - loss: 0.4188
111/124 [=========================>....] - ETA: 0s - loss: 0.4250
124/124 [==============================] - 0s 1ms/step - loss: 0.4277
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3245
 40/124 [========>.....................] - ETA: 0s - loss: 0.4196
 78/124 [=================>............] - ETA: 0s - loss: 0.4049
119/124 [===========================>..] - ETA: 0s - loss: 0.4090
124/124 [==============================] - 0s 1ms/step - loss: 0.4070
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.5354
 39/124 [========>.....................] - ETA: 0s - loss: 0.4213
 79/124 [==================>...........] - ETA: 0s - loss: 0.4028
119/124 [===========================>..] - ETA: 0s - loss: 0.3957
124/124 [==============================] - 0s 1ms/step - loss: 0.3969
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.1343
 42/124 [=========>....................] - ETA: 0s - loss: 0.3812
 80/124 [==================>...........] - ETA: 0s - loss: 0.3905
119/124 [===========================>..] - ETA: 0s - loss: 0.3921
124/124 [==============================] - 0s 1ms/step - loss: 0.3895
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3617
 39/124 [========>.....................] - ETA: 0s - loss: 0.3813
 79/124 [==================>...........] - ETA: 0s - loss: 0.3895
118/124 [===========================>..] - ETA: 0s - loss: 0.3853
124/124 [==============================] - 0s 1ms/step - loss: 0.3876
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.5065
 41/124 [========>.....................] - ETA: 0s - loss: 0.3722
 78/124 [=================>............] - ETA: 0s - loss: 0.3662
110/124 [=========================>....] - ETA: 0s - loss: 0.3742
124/124 [==============================] - 0s 1ms/step - loss: 0.3769
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2566
 33/124 [======>.......................] - ETA: 0s - loss: 0.3530
 72/124 [================>.............] - ETA: 0s - loss: 0.3684
110/124 [=========================>....] - ETA: 0s - loss: 0.3793
124/124 [==============================] - 0s 1ms/step - loss: 0.3722
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.7540
 37/124 [=======>......................] - ETA: 0s - loss: 0.4116
 76/124 [=================>............] - ETA: 0s - loss: 0.3819
113/124 [==========================>...] - ETA: 0s - loss: 0.3708
124/124 [==============================] - 0s 1ms/step - loss: 0.3680
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3899
 35/124 [=======>......................] - ETA: 0s - loss: 0.3493
 68/124 [===============>..............] - ETA: 0s - loss: 0.3618
101/124 [=======================>......] - ETA: 0s - loss: 0.3707
124/124 [==============================] - 0s 2ms/step - loss: 0.3653
-> test with GAN.predict
GAN tn, fp: 258, 52
GAN fn, tp: 5, 6
GAN f1 score: 0.174
GAN cohens kappa score: 0.123

-> test with 'LR'
LR tn, fp: 198, 112
LR fn, tp: 2, 9
LR f1 score: 0.136
LR cohens kappa score: 0.078
LR average precision score: 0.237

-> test with 'RF'
RF tn, fp: 296, 14
RF fn, tp: 9, 2
RF f1 score: 0.148
RF cohens kappa score: 0.112

-> test with 'GB'
GB tn, fp: 286, 24
GB fn, tp: 8, 3
GB f1 score: 0.158
GB cohens kappa score: 0.115

-> test with 'KNN'
KNN tn, fp: 208, 102
KNN fn, tp: 7, 4
KNN f1 score: 0.068
KNN cohens kappa score: 0.007


------ Step 1/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 18s - loss: 0.8541
 42/124 [=========>....................] - ETA: 0s - loss: 0.5290 
 84/124 [===================>..........] - ETA: 0s - loss: 0.5223
124/124 [==============================] - 0s 1ms/step - loss: 0.5001
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5266
 43/124 [=========>....................] - ETA: 0s - loss: 0.4066
 84/124 [===================>..........] - ETA: 0s - loss: 0.3885
124/124 [==============================] - 0s 1ms/step - loss: 0.3768
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4308
 40/124 [========>.....................] - ETA: 0s - loss: 0.3730
 81/124 [==================>...........] - ETA: 0s - loss: 0.3464
121/124 [============================>.] - ETA: 0s - loss: 0.3540
124/124 [==============================] - 0s 1ms/step - loss: 0.3524
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2080
 42/124 [=========>....................] - ETA: 0s - loss: 0.3786
 80/124 [==================>...........] - ETA: 0s - loss: 0.3430
120/124 [============================>.] - ETA: 0s - loss: 0.3359
124/124 [==============================] - 0s 1ms/step - loss: 0.3350
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3425
 43/124 [=========>....................] - ETA: 0s - loss: 0.3253
 84/124 [===================>..........] - ETA: 0s - loss: 0.3341
124/124 [==============================] - ETA: 0s - loss: 0.3203
124/124 [==============================] - 0s 1ms/step - loss: 0.3203
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4990
 42/124 [=========>....................] - ETA: 0s - loss: 0.3358
 83/124 [===================>..........] - ETA: 0s - loss: 0.3095
123/124 [============================>.] - ETA: 0s - loss: 0.3105
124/124 [==============================] - 0s 1ms/step - loss: 0.3119
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2464
 39/124 [========>.....................] - ETA: 0s - loss: 0.3107
 74/124 [================>.............] - ETA: 0s - loss: 0.3035
106/124 [========================>.....] - ETA: 0s - loss: 0.3039
124/124 [==============================] - 0s 1ms/step - loss: 0.3032
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2159
 41/124 [========>.....................] - ETA: 0s - loss: 0.3319
 81/124 [==================>...........] - ETA: 0s - loss: 0.3088
123/124 [============================>.] - ETA: 0s - loss: 0.3028
124/124 [==============================] - 0s 1ms/step - loss: 0.3034
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3240
 41/124 [========>.....................] - ETA: 0s - loss: 0.2954
 81/124 [==================>...........] - ETA: 0s - loss: 0.2838
122/124 [============================>.] - ETA: 0s - loss: 0.2895
124/124 [==============================] - 0s 1ms/step - loss: 0.2904
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3440
 42/124 [=========>....................] - ETA: 0s - loss: 0.2908
 84/124 [===================>..........] - ETA: 0s - loss: 0.2965
124/124 [==============================] - 0s 1ms/step - loss: 0.2919
-> test with GAN.predict
GAN tn, fp: 223, 87
GAN fn, tp: 8, 3
GAN f1 score: 0.059
GAN cohens kappa score: -0.002

-> test with 'LR'
LR tn, fp: 238, 72
LR fn, tp: 6, 5
LR f1 score: 0.114
LR cohens kappa score: 0.057
LR average precision score: 0.096

-> test with 'RF'
RF tn, fp: 303, 7
RF fn, tp: 10, 1
RF f1 score: 0.105
RF cohens kappa score: 0.079

-> test with 'GB'
GB tn, fp: 296, 14
GB fn, tp: 10, 1
GB f1 score: 0.077
GB cohens kappa score: 0.039

-> test with 'KNN'
KNN tn, fp: 240, 70
KNN fn, tp: 10, 1
KNN f1 score: 0.024
KNN cohens kappa score: -0.037


------ Step 1/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 17s - loss: 0.9345
 44/124 [=========>....................] - ETA: 0s - loss: 0.5061 
 88/124 [====================>.........] - ETA: 0s - loss: 0.4720
124/124 [==============================] - 0s 1ms/step - loss: 0.4463
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4009
 44/124 [=========>....................] - ETA: 0s - loss: 0.3765
 88/124 [====================>.........] - ETA: 0s - loss: 0.3661
124/124 [==============================] - 0s 1ms/step - loss: 0.3678
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4678
 44/124 [=========>....................] - ETA: 0s - loss: 0.3551
 86/124 [===================>..........] - ETA: 0s - loss: 0.3530
124/124 [==============================] - 0s 1ms/step - loss: 0.3480
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2292
 44/124 [=========>....................] - ETA: 0s - loss: 0.3383
 88/124 [====================>.........] - ETA: 0s - loss: 0.3352
124/124 [==============================] - 0s 1ms/step - loss: 0.3336
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2910
 44/124 [=========>....................] - ETA: 0s - loss: 0.3175
 88/124 [====================>.........] - ETA: 0s - loss: 0.3289
124/124 [==============================] - 0s 1ms/step - loss: 0.3266
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3309
 42/124 [=========>....................] - ETA: 0s - loss: 0.3769
 82/124 [==================>...........] - ETA: 0s - loss: 0.3448
124/124 [==============================] - ETA: 0s - loss: 0.3418
124/124 [==============================] - 0s 1ms/step - loss: 0.3418
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.5026
 45/124 [=========>....................] - ETA: 0s - loss: 0.3221
 87/124 [====================>.........] - ETA: 0s - loss: 0.3184
124/124 [==============================] - 0s 1ms/step - loss: 0.3201
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.1522
 45/124 [=========>....................] - ETA: 0s - loss: 0.3171
 88/124 [====================>.........] - ETA: 0s - loss: 0.3191
124/124 [==============================] - 0s 1ms/step - loss: 0.3192
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.5306
 44/124 [=========>....................] - ETA: 0s - loss: 0.3143
 86/124 [===================>..........] - ETA: 0s - loss: 0.3244
124/124 [==============================] - 0s 1ms/step - loss: 0.3185
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3665
 45/124 [=========>....................] - ETA: 0s - loss: 0.3010
 88/124 [====================>.........] - ETA: 0s - loss: 0.3130
124/124 [==============================] - 0s 1ms/step - loss: 0.3168
-> test with GAN.predict
GAN tn, fp: 224, 82
GAN fn, tp: 4, 5
GAN f1 score: 0.104
GAN cohens kappa score: 0.055

-> test with 'LR'
LR tn, fp: 223, 83
LR fn, tp: 4, 5
LR f1 score: 0.103
LR cohens kappa score: 0.054
LR average precision score: 0.220

-> test with 'RF'
RF tn, fp: 297, 9
RF fn, tp: 9, 0
RF f1 score: 0.000
RF cohens kappa score: -0.029

-> test with 'GB'
GB tn, fp: 286, 20
GB fn, tp: 7, 2
GB f1 score: 0.129
GB cohens kappa score: 0.092

-> test with 'KNN'
KNN tn, fp: 225, 81
KNN fn, tp: 5, 4
KNN f1 score: 0.085
KNN cohens kappa score: 0.035


====== Step 2/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 2/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 20s - loss: 0.6027
 41/124 [========>.....................] - ETA: 0s - loss: 0.6147 
 82/124 [==================>...........] - ETA: 0s - loss: 0.5576
123/124 [============================>.] - ETA: 0s - loss: 0.5305
124/124 [==============================] - 0s 1ms/step - loss: 0.5292
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2621
 42/124 [=========>....................] - ETA: 0s - loss: 0.4220
 81/124 [==================>...........] - ETA: 0s - loss: 0.4368
121/124 [============================>.] - ETA: 0s - loss: 0.4446
124/124 [==============================] - 0s 1ms/step - loss: 0.4430
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4664
 41/124 [========>.....................] - ETA: 0s - loss: 0.4167
 82/124 [==================>...........] - ETA: 0s - loss: 0.4258
118/124 [===========================>..] - ETA: 0s - loss: 0.4168
124/124 [==============================] - 0s 1ms/step - loss: 0.4169
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3528
 40/124 [========>.....................] - ETA: 0s - loss: 0.3993
 72/124 [================>.............] - ETA: 0s - loss: 0.4028
109/124 [=========================>....] - ETA: 0s - loss: 0.4049
124/124 [==============================] - 0s 1ms/step - loss: 0.4028
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.6870
 42/124 [=========>....................] - ETA: 0s - loss: 0.4130
 78/124 [=================>............] - ETA: 0s - loss: 0.3899
112/124 [==========================>...] - ETA: 0s - loss: 0.3893
124/124 [==============================] - 0s 1ms/step - loss: 0.3924
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4112
 37/124 [=======>......................] - ETA: 0s - loss: 0.3895
 78/124 [=================>............] - ETA: 0s - loss: 0.3796
119/124 [===========================>..] - ETA: 0s - loss: 0.3781
124/124 [==============================] - 0s 1ms/step - loss: 0.3788
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2698
 39/124 [========>.....................] - ETA: 0s - loss: 0.3650
 79/124 [==================>...........] - ETA: 0s - loss: 0.3798
118/124 [===========================>..] - ETA: 0s - loss: 0.3692
124/124 [==============================] - 0s 1ms/step - loss: 0.3719
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2254
 41/124 [========>.....................] - ETA: 0s - loss: 0.3634
 82/124 [==================>...........] - ETA: 0s - loss: 0.3615
123/124 [============================>.] - ETA: 0s - loss: 0.3663
124/124 [==============================] - 0s 1ms/step - loss: 0.3662
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2326
 40/124 [========>.....................] - ETA: 0s - loss: 0.3574
 81/124 [==================>...........] - ETA: 0s - loss: 0.3577
122/124 [============================>.] - ETA: 0s - loss: 0.3610
124/124 [==============================] - 0s 1ms/step - loss: 0.3606
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2025
 42/124 [=========>....................] - ETA: 0s - loss: 0.3725
 82/124 [==================>...........] - ETA: 0s - loss: 0.3695
121/124 [============================>.] - ETA: 0s - loss: 0.3592
124/124 [==============================] - 0s 1ms/step - loss: 0.3577
-> test with GAN.predict
GAN tn, fp: 266, 44
GAN fn, tp: 8, 3
GAN f1 score: 0.103
GAN cohens kappa score: 0.051

-> test with 'LR'
LR tn, fp: 221, 89
LR fn, tp: 3, 8
LR f1 score: 0.148
LR cohens kappa score: 0.092
LR average precision score: 0.155

-> test with 'RF'
RF tn, fp: 299, 11
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.035

-> test with 'GB'
GB tn, fp: 289, 21
GB fn, tp: 9, 2
GB f1 score: 0.118
GB cohens kappa score: 0.075

-> test with 'KNN'
KNN tn, fp: 231, 79
KNN fn, tp: 8, 3
KNN f1 score: 0.065
KNN cohens kappa score: 0.004


------ Step 2/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 23s - loss: 0.4407
 40/124 [========>.....................] - ETA: 0s - loss: 0.4898 
 80/124 [==================>...........] - ETA: 0s - loss: 0.4511
116/124 [===========================>..] - ETA: 0s - loss: 0.4592
124/124 [==============================] - 0s 1ms/step - loss: 0.4539
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3543
 39/124 [========>.....................] - ETA: 0s - loss: 0.4011
 78/124 [=================>............] - ETA: 0s - loss: 0.4053
114/124 [==========================>...] - ETA: 0s - loss: 0.4107
124/124 [==============================] - 0s 1ms/step - loss: 0.4050
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3097
 40/124 [========>.....................] - ETA: 0s - loss: 0.3525
 74/124 [================>.............] - ETA: 0s - loss: 0.3624
106/124 [========================>.....] - ETA: 0s - loss: 0.3665
124/124 [==============================] - 0s 1ms/step - loss: 0.3758
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4748
 41/124 [========>.....................] - ETA: 0s - loss: 0.3765
 80/124 [==================>...........] - ETA: 0s - loss: 0.3630
119/124 [===========================>..] - ETA: 0s - loss: 0.3612
124/124 [==============================] - 0s 1ms/step - loss: 0.3634
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2600
 39/124 [========>.....................] - ETA: 0s - loss: 0.3518
 79/124 [==================>...........] - ETA: 0s - loss: 0.3638
117/124 [===========================>..] - ETA: 0s - loss: 0.3693
124/124 [==============================] - 0s 1ms/step - loss: 0.3674
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5412
 42/124 [=========>....................] - ETA: 0s - loss: 0.3344
 82/124 [==================>...........] - ETA: 0s - loss: 0.3506
120/124 [============================>.] - ETA: 0s - loss: 0.3461
124/124 [==============================] - 0s 1ms/step - loss: 0.3457
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.1981
 40/124 [========>.....................] - ETA: 0s - loss: 0.3304
 80/124 [==================>...........] - ETA: 0s - loss: 0.3547
120/124 [============================>.] - ETA: 0s - loss: 0.3616
124/124 [==============================] - 0s 1ms/step - loss: 0.3612
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.1834
 42/124 [=========>....................] - ETA: 0s - loss: 0.3431
 83/124 [===================>..........] - ETA: 0s - loss: 0.3387
123/124 [============================>.] - ETA: 0s - loss: 0.3437
124/124 [==============================] - 0s 1ms/step - loss: 0.3429
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2030
 42/124 [=========>....................] - ETA: 0s - loss: 0.3153
 82/124 [==================>...........] - ETA: 0s - loss: 0.3336
123/124 [============================>.] - ETA: 0s - loss: 0.3343
124/124 [==============================] - 0s 1ms/step - loss: 0.3339
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3502
 41/124 [========>.....................] - ETA: 0s - loss: 0.3296
 82/124 [==================>...........] - ETA: 0s - loss: 0.3273
121/124 [============================>.] - ETA: 0s - loss: 0.3311
124/124 [==============================] - 0s 1ms/step - loss: 0.3305
-> test with GAN.predict
GAN tn, fp: 247, 63
GAN fn, tp: 6, 5
GAN f1 score: 0.127
GAN cohens kappa score: 0.072

-> test with 'LR'
LR tn, fp: 223, 87
LR fn, tp: 4, 7
LR f1 score: 0.133
LR cohens kappa score: 0.077
LR average precision score: 0.184

-> test with 'RF'
RF tn, fp: 304, 6
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.025

-> test with 'GB'
GB tn, fp: 296, 14
GB fn, tp: 10, 1
GB f1 score: 0.077
GB cohens kappa score: 0.039

-> test with 'KNN'
KNN tn, fp: 236, 74
KNN fn, tp: 9, 2
KNN f1 score: 0.046
KNN cohens kappa score: -0.015


------ Step 2/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.7410
 42/124 [=========>....................] - ETA: 0s - loss: 0.5495 
 82/124 [==================>...........] - ETA: 0s - loss: 0.5040
123/124 [============================>.] - ETA: 0s - loss: 0.4963
124/124 [==============================] - 0s 1ms/step - loss: 0.4950
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3835
 40/124 [========>.....................] - ETA: 0s - loss: 0.4528
 81/124 [==================>...........] - ETA: 0s - loss: 0.4445
119/124 [===========================>..] - ETA: 0s - loss: 0.4329
124/124 [==============================] - 0s 1ms/step - loss: 0.4316
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3031
 41/124 [========>.....................] - ETA: 0s - loss: 0.4278
 82/124 [==================>...........] - ETA: 0s - loss: 0.4239
123/124 [============================>.] - ETA: 0s - loss: 0.4096
124/124 [==============================] - 0s 1ms/step - loss: 0.4116
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2812
 39/124 [========>.....................] - ETA: 0s - loss: 0.4010
 80/124 [==================>...........] - ETA: 0s - loss: 0.4054
120/124 [============================>.] - ETA: 0s - loss: 0.4051
124/124 [==============================] - 0s 1ms/step - loss: 0.4002
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3574
 37/124 [=======>......................] - ETA: 0s - loss: 0.3931
 78/124 [=================>............] - ETA: 0s - loss: 0.3976
119/124 [===========================>..] - ETA: 0s - loss: 0.3958
124/124 [==============================] - 0s 1ms/step - loss: 0.3964
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3896
 41/124 [========>.....................] - ETA: 0s - loss: 0.4360
 81/124 [==================>...........] - ETA: 0s - loss: 0.3981
121/124 [============================>.] - ETA: 0s - loss: 0.4048
124/124 [==============================] - 0s 1ms/step - loss: 0.4020
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3723
 41/124 [========>.....................] - ETA: 0s - loss: 0.3900
 81/124 [==================>...........] - ETA: 0s - loss: 0.3830
118/124 [===========================>..] - ETA: 0s - loss: 0.3820
124/124 [==============================] - 0s 1ms/step - loss: 0.3816
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2556
 35/124 [=======>......................] - ETA: 0s - loss: 0.3479
 67/124 [===============>..............] - ETA: 0s - loss: 0.3436
100/124 [=======================>......] - ETA: 0s - loss: 0.3575
124/124 [==============================] - 0s 1ms/step - loss: 0.3711
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.5832
 41/124 [========>.....................] - ETA: 0s - loss: 0.4007
 81/124 [==================>...........] - ETA: 0s - loss: 0.3823
121/124 [============================>.] - ETA: 0s - loss: 0.3858
124/124 [==============================] - 0s 1ms/step - loss: 0.3835
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.5768
 41/124 [========>.....................] - ETA: 0s - loss: 0.3732
 81/124 [==================>...........] - ETA: 0s - loss: 0.3662
120/124 [============================>.] - ETA: 0s - loss: 0.3607
124/124 [==============================] - 0s 1ms/step - loss: 0.3608
-> test with GAN.predict
GAN tn, fp: 253, 57
GAN fn, tp: 8, 3
GAN f1 score: 0.085
GAN cohens kappa score: 0.028

-> test with 'LR'
LR tn, fp: 206, 104
LR fn, tp: 3, 8
LR f1 score: 0.130
LR cohens kappa score: 0.072
LR average precision score: 0.191

-> test with 'RF'
RF tn, fp: 298, 12
RF fn, tp: 10, 1
RF f1 score: 0.083
RF cohens kappa score: 0.048

-> test with 'GB'
GB tn, fp: 287, 23
GB fn, tp: 10, 1
GB f1 score: 0.057
GB cohens kappa score: 0.011

-> test with 'KNN'
KNN tn, fp: 212, 98
KNN fn, tp: 8, 3
KNN f1 score: 0.054
KNN cohens kappa score: -0.009


------ Step 2/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 24s - loss: 0.6001
 42/124 [=========>....................] - ETA: 0s - loss: 0.5073 
 82/124 [==================>...........] - ETA: 0s - loss: 0.4811
122/124 [============================>.] - ETA: 0s - loss: 0.4644
124/124 [==============================] - 0s 1ms/step - loss: 0.4621
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3374
 42/124 [=========>....................] - ETA: 0s - loss: 0.4041
 83/124 [===================>..........] - ETA: 0s - loss: 0.3953
123/124 [============================>.] - ETA: 0s - loss: 0.3936
124/124 [==============================] - 0s 1ms/step - loss: 0.3939
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.2827
 40/124 [========>.....................] - ETA: 0s - loss: 0.3914
 81/124 [==================>...........] - ETA: 0s - loss: 0.3814
122/124 [============================>.] - ETA: 0s - loss: 0.3740
124/124 [==============================] - 0s 1ms/step - loss: 0.3743
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3031
 41/124 [========>.....................] - ETA: 0s - loss: 0.3560
 82/124 [==================>...........] - ETA: 0s - loss: 0.3662
123/124 [============================>.] - ETA: 0s - loss: 0.3665
124/124 [==============================] - 0s 1ms/step - loss: 0.3666
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2533
 41/124 [========>.....................] - ETA: 0s - loss: 0.3502
 82/124 [==================>...........] - ETA: 0s - loss: 0.3540
122/124 [============================>.] - ETA: 0s - loss: 0.3589
124/124 [==============================] - 0s 1ms/step - loss: 0.3593
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5968
 42/124 [=========>....................] - ETA: 0s - loss: 0.3536
 80/124 [==================>...........] - ETA: 0s - loss: 0.3483
120/124 [============================>.] - ETA: 0s - loss: 0.3620
124/124 [==============================] - 0s 1ms/step - loss: 0.3628
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.1174
 40/124 [========>.....................] - ETA: 0s - loss: 0.3504
 79/124 [==================>...........] - ETA: 0s - loss: 0.3456
119/124 [===========================>..] - ETA: 0s - loss: 0.3412
124/124 [==============================] - 0s 1ms/step - loss: 0.3450
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2190
 41/124 [========>.....................] - ETA: 0s - loss: 0.3564
 81/124 [==================>...........] - ETA: 0s - loss: 0.3469
121/124 [============================>.] - ETA: 0s - loss: 0.3422
124/124 [==============================] - 0s 1ms/step - loss: 0.3399
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2344
 42/124 [=========>....................] - ETA: 0s - loss: 0.3014
 76/124 [=================>............] - ETA: 0s - loss: 0.3160
112/124 [==========================>...] - ETA: 0s - loss: 0.3459
124/124 [==============================] - 0s 1ms/step - loss: 0.3482
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3724
 38/124 [========>.....................] - ETA: 0s - loss: 0.3583
 79/124 [==================>...........] - ETA: 0s - loss: 0.3464
120/124 [============================>.] - ETA: 0s - loss: 0.3519
124/124 [==============================] - 0s 1ms/step - loss: 0.3509
-> test with GAN.predict
GAN tn, fp: 246, 64
GAN fn, tp: 7, 4
GAN f1 score: 0.101
GAN cohens kappa score: 0.045

-> test with 'LR'
LR tn, fp: 226, 84
LR fn, tp: 6, 5
LR f1 score: 0.100
LR cohens kappa score: 0.042
LR average precision score: 0.278

-> test with 'RF'
RF tn, fp: 305, 5
RF fn, tp: 10, 1
RF f1 score: 0.118
RF cohens kappa score: 0.096

-> test with 'GB'
GB tn, fp: 295, 15
GB fn, tp: 10, 1
GB f1 score: 0.074
GB cohens kappa score: 0.035

-> test with 'KNN'
KNN tn, fp: 217, 93
KNN fn, tp: 7, 4
KNN f1 score: 0.074
KNN cohens kappa score: 0.013


------ Step 2/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 18s - loss: 1.0551
 42/124 [=========>....................] - ETA: 0s - loss: 0.6083 
 85/124 [===================>..........] - ETA: 0s - loss: 0.5703
124/124 [==============================] - 0s 1ms/step - loss: 0.5303
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2756
 41/124 [========>.....................] - ETA: 0s - loss: 0.4307
 84/124 [===================>..........] - ETA: 0s - loss: 0.4411
124/124 [==============================] - 0s 1ms/step - loss: 0.4331
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3424
 43/124 [=========>....................] - ETA: 0s - loss: 0.4025
 85/124 [===================>..........] - ETA: 0s - loss: 0.3992
124/124 [==============================] - ETA: 0s - loss: 0.3887
124/124 [==============================] - 0s 1ms/step - loss: 0.3887
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.6769
 40/124 [========>.....................] - ETA: 0s - loss: 0.3506
 81/124 [==================>...........] - ETA: 0s - loss: 0.3791
124/124 [==============================] - 0s 1ms/step - loss: 0.3806
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3304
 43/124 [=========>....................] - ETA: 0s - loss: 0.3641
 85/124 [===================>..........] - ETA: 0s - loss: 0.3864
124/124 [==============================] - 0s 1ms/step - loss: 0.3793
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3981
 39/124 [========>.....................] - ETA: 0s - loss: 0.3684
 76/124 [=================>............] - ETA: 0s - loss: 0.3643
115/124 [==========================>...] - ETA: 0s - loss: 0.3639
124/124 [==============================] - 0s 1ms/step - loss: 0.3639
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2368
 43/124 [=========>....................] - ETA: 0s - loss: 0.3698
 86/124 [===================>..........] - ETA: 0s - loss: 0.3721
124/124 [==============================] - 0s 1ms/step - loss: 0.3644
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3435
 41/124 [========>.....................] - ETA: 0s - loss: 0.3607
 81/124 [==================>...........] - ETA: 0s - loss: 0.3537
117/124 [===========================>..] - ETA: 0s - loss: 0.3510
124/124 [==============================] - 0s 1ms/step - loss: 0.3520
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3981
 40/124 [========>.....................] - ETA: 0s - loss: 0.3632
 82/124 [==================>...........] - ETA: 0s - loss: 0.3484
124/124 [==============================] - 0s 1ms/step - loss: 0.3453
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2681
 45/124 [=========>....................] - ETA: 0s - loss: 0.3572
 87/124 [====================>.........] - ETA: 0s - loss: 0.3427
124/124 [==============================] - 0s 1ms/step - loss: 0.3401
-> test with GAN.predict
GAN tn, fp: 259, 47
GAN fn, tp: 5, 4
GAN f1 score: 0.133
GAN cohens kappa score: 0.089

-> test with 'LR'
LR tn, fp: 232, 74
LR fn, tp: 3, 6
LR f1 score: 0.135
LR cohens kappa score: 0.088
LR average precision score: 0.129

-> test with 'RF'
RF tn, fp: 298, 8
RF fn, tp: 8, 1
RF f1 score: 0.111
RF cohens kappa score: 0.085

-> test with 'GB'
GB tn, fp: 288, 18
GB fn, tp: 6, 3
GB f1 score: 0.200
GB cohens kappa score: 0.167

-> test with 'KNN'
KNN tn, fp: 234, 72
KNN fn, tp: 5, 4
KNN f1 score: 0.094
KNN cohens kappa score: 0.045


====== Step 3/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 3/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.5418
 38/124 [========>.....................] - ETA: 0s - loss: 0.4310 
 76/124 [=================>............] - ETA: 0s - loss: 0.4020
113/124 [==========================>...] - ETA: 0s - loss: 0.4037
124/124 [==============================] - 0s 1ms/step - loss: 0.4099
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2629
 34/124 [=======>......................] - ETA: 0s - loss: 0.3256
 69/124 [===============>..............] - ETA: 0s - loss: 0.3269
104/124 [========================>.....] - ETA: 0s - loss: 0.3318
124/124 [==============================] - 0s 1ms/step - loss: 0.3386
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.1366
 39/124 [========>.....................] - ETA: 0s - loss: 0.3030
 72/124 [================>.............] - ETA: 0s - loss: 0.3332
102/124 [=======================>......] - ETA: 0s - loss: 0.3282
124/124 [==============================] - 0s 2ms/step - loss: 0.3217
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3147
 33/124 [======>.......................] - ETA: 0s - loss: 0.3550
 67/124 [===============>..............] - ETA: 0s - loss: 0.3414
102/124 [=======================>......] - ETA: 0s - loss: 0.3293
124/124 [==============================] - 0s 2ms/step - loss: 0.3168
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4082
 40/124 [========>.....................] - ETA: 0s - loss: 0.3157
 77/124 [=================>............] - ETA: 0s - loss: 0.3131
113/124 [==========================>...] - ETA: 0s - loss: 0.3067
124/124 [==============================] - 0s 1ms/step - loss: 0.3032
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3733
 39/124 [========>.....................] - ETA: 0s - loss: 0.2891
 75/124 [=================>............] - ETA: 0s - loss: 0.3081
111/124 [=========================>....] - ETA: 0s - loss: 0.3000
124/124 [==============================] - 0s 1ms/step - loss: 0.2969
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.4284
 36/124 [=======>......................] - ETA: 0s - loss: 0.3057
 66/124 [==============>...............] - ETA: 0s - loss: 0.3043
 95/124 [=====================>........] - ETA: 0s - loss: 0.2949
124/124 [==============================] - 0s 2ms/step - loss: 0.2943
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2993
 39/124 [========>.....................] - ETA: 0s - loss: 0.3065
 74/124 [================>.............] - ETA: 0s - loss: 0.2996
103/124 [=======================>......] - ETA: 0s - loss: 0.2935
124/124 [==============================] - 0s 1ms/step - loss: 0.2896
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2075
 36/124 [=======>......................] - ETA: 0s - loss: 0.2934
 74/124 [================>.............] - ETA: 0s - loss: 0.2802
111/124 [=========================>....] - ETA: 0s - loss: 0.2878
124/124 [==============================] - 0s 1ms/step - loss: 0.2879
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2888
 36/124 [=======>......................] - ETA: 0s - loss: 0.2840
 68/124 [===============>..............] - ETA: 0s - loss: 0.3072
103/124 [=======================>......] - ETA: 0s - loss: 0.2883
124/124 [==============================] - 0s 1ms/step - loss: 0.2859
-> test with GAN.predict
GAN tn, fp: 259, 51
GAN fn, tp: 7, 4
GAN f1 score: 0.121
GAN cohens kappa score: 0.068

-> test with 'LR'
LR tn, fp: 228, 82
LR fn, tp: 4, 7
LR f1 score: 0.140
LR cohens kappa score: 0.084
LR average precision score: 0.149

-> test with 'RF'
RF tn, fp: 303, 7
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.027

-> test with 'GB'
GB tn, fp: 295, 15
GB fn, tp: 11, 0
GB f1 score: 0.000
GB cohens kappa score: -0.041

-> test with 'KNN'
KNN tn, fp: 248, 62
KNN fn, tp: 9, 2
KNN f1 score: 0.053
KNN cohens kappa score: -0.005


------ Step 3/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 18s - loss: 0.1916
 41/124 [========>.....................] - ETA: 0s - loss: 0.6438 
 81/124 [==================>...........] - ETA: 0s - loss: 0.5740
123/124 [============================>.] - ETA: 0s - loss: 0.5279
124/124 [==============================] - 0s 1ms/step - loss: 0.5280
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.6911
 43/124 [=========>....................] - ETA: 0s - loss: 0.4192
 84/124 [===================>..........] - ETA: 0s - loss: 0.4273
124/124 [==============================] - 0s 1ms/step - loss: 0.4296
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4670
 40/124 [========>.....................] - ETA: 0s - loss: 0.4012
 74/124 [================>.............] - ETA: 0s - loss: 0.4009
109/124 [=========================>....] - ETA: 0s - loss: 0.4094
124/124 [==============================] - 0s 1ms/step - loss: 0.4046
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4873
 42/124 [=========>....................] - ETA: 0s - loss: 0.4171
 83/124 [===================>..........] - ETA: 0s - loss: 0.4016
124/124 [==============================] - ETA: 0s - loss: 0.3889
124/124 [==============================] - 0s 1ms/step - loss: 0.3889
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5633
 41/124 [========>.....................] - ETA: 0s - loss: 0.3521
 83/124 [===================>..........] - ETA: 0s - loss: 0.3670
122/124 [============================>.] - ETA: 0s - loss: 0.3739
124/124 [==============================] - 0s 1ms/step - loss: 0.3733
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2612
 42/124 [=========>....................] - ETA: 0s - loss: 0.3430
 84/124 [===================>..........] - ETA: 0s - loss: 0.3674
124/124 [==============================] - 0s 1ms/step - loss: 0.3719
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.5045
 42/124 [=========>....................] - ETA: 0s - loss: 0.3790
 83/124 [===================>..........] - ETA: 0s - loss: 0.3591
124/124 [==============================] - ETA: 0s - loss: 0.3614
124/124 [==============================] - 0s 1ms/step - loss: 0.3614
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3038
 41/124 [========>.....................] - ETA: 0s - loss: 0.3775
 83/124 [===================>..........] - ETA: 0s - loss: 0.3564
124/124 [==============================] - ETA: 0s - loss: 0.3584
124/124 [==============================] - 0s 1ms/step - loss: 0.3584
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2652
 42/124 [=========>....................] - ETA: 0s - loss: 0.3127
 83/124 [===================>..........] - ETA: 0s - loss: 0.3693
124/124 [==============================] - ETA: 0s - loss: 0.3711
124/124 [==============================] - 0s 1ms/step - loss: 0.3711
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.1970
 40/124 [========>.....................] - ETA: 0s - loss: 0.3233
 81/124 [==================>...........] - ETA: 0s - loss: 0.3585
120/124 [============================>.] - ETA: 0s - loss: 0.3541
124/124 [==============================] - 0s 1ms/step - loss: 0.3505
-> test with GAN.predict
GAN tn, fp: 241, 69
GAN fn, tp: 6, 5
GAN f1 score: 0.118
GAN cohens kappa score: 0.062

-> test with 'LR'
LR tn, fp: 220, 90
LR fn, tp: 3, 8
LR f1 score: 0.147
LR cohens kappa score: 0.091
LR average precision score: 0.263

-> test with 'RF'
RF tn, fp: 298, 12
RF fn, tp: 10, 1
RF f1 score: 0.083
RF cohens kappa score: 0.048

-> test with 'GB'
GB tn, fp: 289, 21
GB fn, tp: 9, 2
GB f1 score: 0.118
GB cohens kappa score: 0.075

-> test with 'KNN'
KNN tn, fp: 234, 76
KNN fn, tp: 7, 4
KNN f1 score: 0.088
KNN cohens kappa score: 0.029


------ Step 3/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 21s - loss: 0.1274
 41/124 [========>.....................] - ETA: 0s - loss: 0.4557 
 81/124 [==================>...........] - ETA: 0s - loss: 0.4588
122/124 [============================>.] - ETA: 0s - loss: 0.4260
124/124 [==============================] - 0s 1ms/step - loss: 0.4272
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.1995
 41/124 [========>.....................] - ETA: 0s - loss: 0.3197
 81/124 [==================>...........] - ETA: 0s - loss: 0.3541
121/124 [============================>.] - ETA: 0s - loss: 0.3364
124/124 [==============================] - 0s 1ms/step - loss: 0.3370
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3472
 39/124 [========>.....................] - ETA: 0s - loss: 0.2756
 79/124 [==================>...........] - ETA: 0s - loss: 0.3316
117/124 [===========================>..] - ETA: 0s - loss: 0.3276
124/124 [==============================] - 0s 1ms/step - loss: 0.3303
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2259
 42/124 [=========>....................] - ETA: 0s - loss: 0.3052
 82/124 [==================>...........] - ETA: 0s - loss: 0.3090
123/124 [============================>.] - ETA: 0s - loss: 0.3112
124/124 [==============================] - 0s 1ms/step - loss: 0.3111
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3681
 37/124 [=======>......................] - ETA: 0s - loss: 0.3035
 79/124 [==================>...........] - ETA: 0s - loss: 0.2979
119/124 [===========================>..] - ETA: 0s - loss: 0.2983
124/124 [==============================] - 0s 1ms/step - loss: 0.2999
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4165
 40/124 [========>.....................] - ETA: 0s - loss: 0.3020
 78/124 [=================>............] - ETA: 0s - loss: 0.3029
119/124 [===========================>..] - ETA: 0s - loss: 0.2945
124/124 [==============================] - 0s 1ms/step - loss: 0.2986
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2397
 41/124 [========>.....................] - ETA: 0s - loss: 0.2761
 81/124 [==================>...........] - ETA: 0s - loss: 0.2823
121/124 [============================>.] - ETA: 0s - loss: 0.2890
124/124 [==============================] - 0s 1ms/step - loss: 0.2905
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3597
 41/124 [========>.....................] - ETA: 0s - loss: 0.2815
 79/124 [==================>...........] - ETA: 0s - loss: 0.2881
119/124 [===========================>..] - ETA: 0s - loss: 0.2897
124/124 [==============================] - 0s 1ms/step - loss: 0.2878
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2643
 40/124 [========>.....................] - ETA: 0s - loss: 0.2631
 80/124 [==================>...........] - ETA: 0s - loss: 0.2900
119/124 [===========================>..] - ETA: 0s - loss: 0.2851
124/124 [==============================] - 0s 1ms/step - loss: 0.2839
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2677
 36/124 [=======>......................] - ETA: 0s - loss: 0.3103
 68/124 [===============>..............] - ETA: 0s - loss: 0.3081
104/124 [========================>.....] - ETA: 0s - loss: 0.2933
124/124 [==============================] - 0s 1ms/step - loss: 0.2818
-> test with GAN.predict
GAN tn, fp: 247, 63
GAN fn, tp: 11, 0
GAN f1 score: 0.000
GAN cohens kappa score: -0.062

-> test with 'LR'
LR tn, fp: 221, 89
LR fn, tp: 5, 6
LR f1 score: 0.113
LR cohens kappa score: 0.055
LR average precision score: 0.084

-> test with 'RF'
RF tn, fp: 301, 9
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.032

-> test with 'GB'
GB tn, fp: 292, 18
GB fn, tp: 11, 0
GB f1 score: 0.000
GB cohens kappa score: -0.044

-> test with 'KNN'
KNN tn, fp: 244, 66
KNN fn, tp: 10, 1
KNN f1 score: 0.026
KNN cohens kappa score: -0.035


------ Step 3/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 20s - loss: 0.3934
 38/124 [========>.....................] - ETA: 0s - loss: 0.5362 
 76/124 [=================>............] - ETA: 0s - loss: 0.5544
114/124 [==========================>...] - ETA: 0s - loss: 0.5306
124/124 [==============================] - 0s 1ms/step - loss: 0.5284
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2894
 39/124 [========>.....................] - ETA: 0s - loss: 0.4588
 78/124 [=================>............] - ETA: 0s - loss: 0.4518
113/124 [==========================>...] - ETA: 0s - loss: 0.4703
124/124 [==============================] - 0s 1ms/step - loss: 0.4706
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4740
 40/124 [========>.....................] - ETA: 0s - loss: 0.4256
 78/124 [=================>............] - ETA: 0s - loss: 0.4283
118/124 [===========================>..] - ETA: 0s - loss: 0.4332
124/124 [==============================] - 0s 1ms/step - loss: 0.4368
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2331
 42/124 [=========>....................] - ETA: 0s - loss: 0.4238
 81/124 [==================>...........] - ETA: 0s - loss: 0.4253
120/124 [============================>.] - ETA: 0s - loss: 0.4205
124/124 [==============================] - 0s 1ms/step - loss: 0.4185
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3352
 40/124 [========>.....................] - ETA: 0s - loss: 0.4160
 79/124 [==================>...........] - ETA: 0s - loss: 0.4163
117/124 [===========================>..] - ETA: 0s - loss: 0.4119
124/124 [==============================] - 0s 1ms/step - loss: 0.4108
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4270
 33/124 [======>.......................] - ETA: 0s - loss: 0.3788
 66/124 [==============>...............] - ETA: 0s - loss: 0.4056
101/124 [=======================>......] - ETA: 0s - loss: 0.4030
124/124 [==============================] - 0s 1ms/step - loss: 0.4042
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.1761
 37/124 [=======>......................] - ETA: 0s - loss: 0.3779
 73/124 [================>.............] - ETA: 0s - loss: 0.3901
112/124 [==========================>...] - ETA: 0s - loss: 0.4007
124/124 [==============================] - 0s 1ms/step - loss: 0.4009
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3686
 35/124 [=======>......................] - ETA: 0s - loss: 0.3796
 74/124 [================>.............] - ETA: 0s - loss: 0.3940
114/124 [==========================>...] - ETA: 0s - loss: 0.4016
124/124 [==============================] - 0s 1ms/step - loss: 0.4019
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4916
 41/124 [========>.....................] - ETA: 0s - loss: 0.3930
 81/124 [==================>...........] - ETA: 0s - loss: 0.3944
121/124 [============================>.] - ETA: 0s - loss: 0.3909
124/124 [==============================] - 0s 1ms/step - loss: 0.3922
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.1687
 41/124 [========>.....................] - ETA: 0s - loss: 0.4188
 81/124 [==================>...........] - ETA: 0s - loss: 0.4016
122/124 [============================>.] - ETA: 0s - loss: 0.3996
124/124 [==============================] - 0s 1ms/step - loss: 0.4003
-> test with GAN.predict
GAN tn, fp: 229, 81
GAN fn, tp: 5, 6
GAN f1 score: 0.122
GAN cohens kappa score: 0.066

-> test with 'LR'
LR tn, fp: 204, 106
LR fn, tp: 2, 9
LR f1 score: 0.143
LR cohens kappa score: 0.086
LR average precision score: 0.182

-> test with 'RF'
RF tn, fp: 303, 7
RF fn, tp: 10, 1
RF f1 score: 0.105
RF cohens kappa score: 0.079

-> test with 'GB'
GB tn, fp: 285, 25
GB fn, tp: 10, 1
GB f1 score: 0.054
GB cohens kappa score: 0.006

-> test with 'KNN'
KNN tn, fp: 222, 88
KNN fn, tp: 7, 4
KNN f1 score: 0.078
KNN cohens kappa score: 0.018


------ Step 3/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 17s - loss: 0.4913
 44/124 [=========>....................] - ETA: 0s - loss: 0.7272 
 84/124 [===================>..........] - ETA: 0s - loss: 0.6770
122/124 [============================>.] - ETA: 0s - loss: 0.6312
124/124 [==============================] - 0s 1ms/step - loss: 0.6320
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4811
 35/124 [=======>......................] - ETA: 0s - loss: 0.5636
 71/124 [================>.............] - ETA: 0s - loss: 0.5101
105/124 [========================>.....] - ETA: 0s - loss: 0.4995
124/124 [==============================] - 0s 1ms/step - loss: 0.4830
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4288
 37/124 [=======>......................] - ETA: 0s - loss: 0.3912
 81/124 [==================>...........] - ETA: 0s - loss: 0.4494
121/124 [============================>.] - ETA: 0s - loss: 0.4490
124/124 [==============================] - 0s 1ms/step - loss: 0.4476
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3214
 43/124 [=========>....................] - ETA: 0s - loss: 0.4363
 84/124 [===================>..........] - ETA: 0s - loss: 0.4387
124/124 [==============================] - 0s 1ms/step - loss: 0.4337
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.4948
 43/124 [=========>....................] - ETA: 0s - loss: 0.4223
 86/124 [===================>..........] - ETA: 0s - loss: 0.4201
124/124 [==============================] - 0s 1ms/step - loss: 0.4200
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2605
 45/124 [=========>....................] - ETA: 0s - loss: 0.4251
 88/124 [====================>.........] - ETA: 0s - loss: 0.4082
124/124 [==============================] - 0s 1ms/step - loss: 0.4275
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3331
 45/124 [=========>....................] - ETA: 0s - loss: 0.4224
 89/124 [====================>.........] - ETA: 0s - loss: 0.4015
124/124 [==============================] - 0s 1ms/step - loss: 0.4100
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.5594
 45/124 [=========>....................] - ETA: 0s - loss: 0.4076
 89/124 [====================>.........] - ETA: 0s - loss: 0.3980
124/124 [==============================] - 0s 1ms/step - loss: 0.4074
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3166
 42/124 [=========>....................] - ETA: 0s - loss: 0.3918
 85/124 [===================>..........] - ETA: 0s - loss: 0.3971
124/124 [==============================] - 0s 1ms/step - loss: 0.4036
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2893
 45/124 [=========>....................] - ETA: 0s - loss: 0.4143
 88/124 [====================>.........] - ETA: 0s - loss: 0.3988
124/124 [==============================] - 0s 1ms/step - loss: 0.3994
-> test with GAN.predict
GAN tn, fp: 244, 62
GAN fn, tp: 4, 5
GAN f1 score: 0.132
GAN cohens kappa score: 0.086

-> test with 'LR'
LR tn, fp: 223, 83
LR fn, tp: 3, 6
LR f1 score: 0.122
LR cohens kappa score: 0.074
LR average precision score: 0.195

-> test with 'RF'
RF tn, fp: 295, 11
RF fn, tp: 8, 1
RF f1 score: 0.095
RF cohens kappa score: 0.065

-> test with 'GB'
GB tn, fp: 287, 19
GB fn, tp: 6, 3
GB f1 score: 0.194
GB cohens kappa score: 0.159

-> test with 'KNN'
KNN tn, fp: 214, 92
KNN fn, tp: 8, 1
KNN f1 score: 0.020
KNN cohens kappa score: -0.034


====== Step 4/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 4/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 47s - loss: 0.9576
 43/124 [=========>....................] - ETA: 0s - loss: 0.6818 
 85/124 [===================>..........] - ETA: 0s - loss: 0.6440
124/124 [==============================] - 1s 1ms/step - loss: 0.6142
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.5135
 44/124 [=========>....................] - ETA: 0s - loss: 0.5162
 86/124 [===================>..........] - ETA: 0s - loss: 0.5276
124/124 [==============================] - 0s 1ms/step - loss: 0.5062
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.7005
 42/124 [=========>....................] - ETA: 0s - loss: 0.4803
 85/124 [===================>..........] - ETA: 0s - loss: 0.4851
124/124 [==============================] - 0s 1ms/step - loss: 0.4663
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4601
 43/124 [=========>....................] - ETA: 0s - loss: 0.4472
 85/124 [===================>..........] - ETA: 0s - loss: 0.4578
124/124 [==============================] - 0s 1ms/step - loss: 0.4487
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5454
 41/124 [========>.....................] - ETA: 0s - loss: 0.4564
 83/124 [===================>..........] - ETA: 0s - loss: 0.4408
123/124 [============================>.] - ETA: 0s - loss: 0.4396
124/124 [==============================] - 0s 1ms/step - loss: 0.4400
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.4763
 43/124 [=========>....................] - ETA: 0s - loss: 0.4615
 85/124 [===================>..........] - ETA: 0s - loss: 0.4395
124/124 [==============================] - 0s 1ms/step - loss: 0.4282
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2744
 39/124 [========>.....................] - ETA: 0s - loss: 0.4198
 77/124 [=================>............] - ETA: 0s - loss: 0.4175
121/124 [============================>.] - ETA: 0s - loss: 0.4271
124/124 [==============================] - 0s 1ms/step - loss: 0.4264
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4973
 45/124 [=========>....................] - ETA: 0s - loss: 0.3911
 89/124 [====================>.........] - ETA: 0s - loss: 0.4057
124/124 [==============================] - 0s 1ms/step - loss: 0.4194
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2690
 43/124 [=========>....................] - ETA: 0s - loss: 0.4242
 86/124 [===================>..........] - ETA: 0s - loss: 0.4312
124/124 [==============================] - 0s 1ms/step - loss: 0.4304
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2745
 43/124 [=========>....................] - ETA: 0s - loss: 0.4281
 82/124 [==================>...........] - ETA: 0s - loss: 0.4093
124/124 [==============================] - 0s 1ms/step - loss: 0.4112
-> test with GAN.predict
GAN tn, fp: 261, 49
GAN fn, tp: 6, 5
GAN f1 score: 0.154
GAN cohens kappa score: 0.103

-> test with 'LR'
LR tn, fp: 225, 85
LR fn, tp: 2, 9
LR f1 score: 0.171
LR cohens kappa score: 0.117
LR average precision score: 0.358

-> test with 'RF'
RF tn, fp: 301, 9
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.032

-> test with 'GB'
GB tn, fp: 298, 12
GB fn, tp: 7, 4
GB f1 score: 0.296
GB cohens kappa score: 0.267

-> test with 'KNN'
KNN tn, fp: 221, 89
KNN fn, tp: 7, 4
KNN f1 score: 0.077
KNN cohens kappa score: 0.017


------ Step 4/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.9153
 41/124 [========>.....................] - ETA: 0s - loss: 0.5207 
 81/124 [==================>...........] - ETA: 0s - loss: 0.5073
121/124 [============================>.] - ETA: 0s - loss: 0.4813
124/124 [==============================] - 0s 1ms/step - loss: 0.4813
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.4282
 39/124 [========>.....................] - ETA: 0s - loss: 0.4903
 77/124 [=================>............] - ETA: 0s - loss: 0.4630
116/124 [===========================>..] - ETA: 0s - loss: 0.4495
124/124 [==============================] - 0s 1ms/step - loss: 0.4486
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.2774
 40/124 [========>.....................] - ETA: 0s - loss: 0.4358
 80/124 [==================>...........] - ETA: 0s - loss: 0.4285
120/124 [============================>.] - ETA: 0s - loss: 0.4186
124/124 [==============================] - 0s 1ms/step - loss: 0.4191
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3627
 38/124 [========>.....................] - ETA: 0s - loss: 0.3936
 78/124 [=================>............] - ETA: 0s - loss: 0.4031
116/124 [===========================>..] - ETA: 0s - loss: 0.3997
124/124 [==============================] - 0s 1ms/step - loss: 0.4030
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.2136
 37/124 [=======>......................] - ETA: 0s - loss: 0.3786
 76/124 [=================>............] - ETA: 0s - loss: 0.3847
108/124 [=========================>....] - ETA: 0s - loss: 0.3935
124/124 [==============================] - 0s 1ms/step - loss: 0.4018
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5330
 35/124 [=======>......................] - ETA: 0s - loss: 0.4233
 72/124 [================>.............] - ETA: 0s - loss: 0.4137
103/124 [=======================>......] - ETA: 0s - loss: 0.4211
124/124 [==============================] - 0s 1ms/step - loss: 0.4143
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3567
 35/124 [=======>......................] - ETA: 0s - loss: 0.3957
 66/124 [==============>...............] - ETA: 0s - loss: 0.3880
102/124 [=======================>......] - ETA: 0s - loss: 0.3827
124/124 [==============================] - 0s 2ms/step - loss: 0.3883
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3310
 36/124 [=======>......................] - ETA: 0s - loss: 0.3905
 74/124 [================>.............] - ETA: 0s - loss: 0.3816
108/124 [=========================>....] - ETA: 0s - loss: 0.3816
124/124 [==============================] - 0s 1ms/step - loss: 0.3851
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.2446
 37/124 [=======>......................] - ETA: 0s - loss: 0.3952
 76/124 [=================>............] - ETA: 0s - loss: 0.3883
112/124 [==========================>...] - ETA: 0s - loss: 0.3889
124/124 [==============================] - 0s 1ms/step - loss: 0.3889
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4332
 32/124 [======>.......................] - ETA: 0s - loss: 0.3797
 59/124 [=============>................] - ETA: 0s - loss: 0.3845
 91/124 [=====================>........] - ETA: 0s - loss: 0.3760
124/124 [==============================] - 0s 2ms/step - loss: 0.3781
-> test with GAN.predict
GAN tn, fp: 246, 64
GAN fn, tp: 7, 4
GAN f1 score: 0.101
GAN cohens kappa score: 0.045

-> test with 'LR'
LR tn, fp: 207, 103
LR fn, tp: 3, 8
LR f1 score: 0.131
LR cohens kappa score: 0.073
LR average precision score: 0.192

-> test with 'RF'
RF tn, fp: 300, 10
RF fn, tp: 10, 1
RF f1 score: 0.091
RF cohens kappa score: 0.059

-> test with 'GB'
GB tn, fp: 288, 22
GB fn, tp: 9, 2
GB f1 score: 0.114
GB cohens kappa score: 0.071

-> test with 'KNN'
KNN tn, fp: 211, 99
KNN fn, tp: 10, 1
KNN f1 score: 0.018
KNN cohens kappa score: -0.047


------ Step 4/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 21s - loss: 0.7789
 42/124 [=========>....................] - ETA: 0s - loss: 0.7152 
 83/124 [===================>..........] - ETA: 0s - loss: 0.6042
124/124 [==============================] - ETA: 0s - loss: 0.5371
124/124 [==============================] - 0s 1ms/step - loss: 0.5371
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3248
 40/124 [========>.....................] - ETA: 0s - loss: 0.4305
 72/124 [================>.............] - ETA: 0s - loss: 0.4662
106/124 [========================>.....] - ETA: 0s - loss: 0.4372
124/124 [==============================] - 0s 1ms/step - loss: 0.4201
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.6167
 40/124 [========>.....................] - ETA: 0s - loss: 0.3929
 80/124 [==================>...........] - ETA: 0s - loss: 0.3914
120/124 [============================>.] - ETA: 0s - loss: 0.3869
124/124 [==============================] - 0s 1ms/step - loss: 0.3880
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4670
 39/124 [========>.....................] - ETA: 0s - loss: 0.3546
 81/124 [==================>...........] - ETA: 0s - loss: 0.3504
122/124 [============================>.] - ETA: 0s - loss: 0.3669
124/124 [==============================] - 0s 1ms/step - loss: 0.3654
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5001
 41/124 [========>.....................] - ETA: 0s - loss: 0.3874
 82/124 [==================>...........] - ETA: 0s - loss: 0.3681
123/124 [============================>.] - ETA: 0s - loss: 0.3575
124/124 [==============================] - 0s 1ms/step - loss: 0.3576
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5917
 42/124 [=========>....................] - ETA: 0s - loss: 0.3436
 81/124 [==================>...........] - ETA: 0s - loss: 0.3592
120/124 [============================>.] - ETA: 0s - loss: 0.3555
124/124 [==============================] - 0s 1ms/step - loss: 0.3542
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.1769
 41/124 [========>.....................] - ETA: 0s - loss: 0.3300
 82/124 [==================>...........] - ETA: 0s - loss: 0.3202
122/124 [============================>.] - ETA: 0s - loss: 0.3394
124/124 [==============================] - 0s 1ms/step - loss: 0.3389
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2382
 40/124 [========>.....................] - ETA: 0s - loss: 0.3232
 74/124 [================>.............] - ETA: 0s - loss: 0.3300
110/124 [=========================>....] - ETA: 0s - loss: 0.3344
124/124 [==============================] - 0s 1ms/step - loss: 0.3327
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.1694
 36/124 [=======>......................] - ETA: 0s - loss: 0.3268
 78/124 [=================>............] - ETA: 0s - loss: 0.3152
119/124 [===========================>..] - ETA: 0s - loss: 0.3266
124/124 [==============================] - 0s 1ms/step - loss: 0.3278
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3501
 41/124 [========>.....................] - ETA: 0s - loss: 0.3440
 77/124 [=================>............] - ETA: 0s - loss: 0.3487
116/124 [===========================>..] - ETA: 0s - loss: 0.3314
124/124 [==============================] - 0s 1ms/step - loss: 0.3285
-> test with GAN.predict
GAN tn, fp: 259, 51
GAN fn, tp: 10, 1
GAN f1 score: 0.032
GAN cohens kappa score: -0.026

-> test with 'LR'
LR tn, fp: 237, 73
LR fn, tp: 6, 5
LR f1 score: 0.112
LR cohens kappa score: 0.056
LR average precision score: 0.085

-> test with 'RF'
RF tn, fp: 299, 11
RF fn, tp: 9, 2
RF f1 score: 0.167
RF cohens kappa score: 0.135

-> test with 'GB'
GB tn, fp: 290, 20
GB fn, tp: 10, 1
GB f1 score: 0.062
GB cohens kappa score: 0.018

-> test with 'KNN'
KNN tn, fp: 236, 74
KNN fn, tp: 9, 2
KNN f1 score: 0.046
KNN cohens kappa score: -0.015


------ Step 4/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 19s - loss: 0.8353
 41/124 [========>.....................] - ETA: 0s - loss: 0.5158 
 81/124 [==================>...........] - ETA: 0s - loss: 0.4426
121/124 [============================>.] - ETA: 0s - loss: 0.4346
124/124 [==============================] - 0s 1ms/step - loss: 0.4363
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2638
 39/124 [========>.....................] - ETA: 0s - loss: 0.3783
 79/124 [==================>...........] - ETA: 0s - loss: 0.3428
119/124 [===========================>..] - ETA: 0s - loss: 0.3249
124/124 [==============================] - 0s 1ms/step - loss: 0.3264
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.1058
 41/124 [========>.....................] - ETA: 0s - loss: 0.3407
 81/124 [==================>...........] - ETA: 0s - loss: 0.3330
120/124 [============================>.] - ETA: 0s - loss: 0.3195
124/124 [==============================] - 0s 1ms/step - loss: 0.3211
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.1657
 42/124 [=========>....................] - ETA: 0s - loss: 0.3011
 83/124 [===================>..........] - ETA: 0s - loss: 0.3066
123/124 [============================>.] - ETA: 0s - loss: 0.3006
124/124 [==============================] - 0s 1ms/step - loss: 0.3004
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.1519
 40/124 [========>.....................] - ETA: 0s - loss: 0.2979
 74/124 [================>.............] - ETA: 0s - loss: 0.3054
108/124 [=========================>....] - ETA: 0s - loss: 0.3004
124/124 [==============================] - 0s 1ms/step - loss: 0.2900
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2431
 40/124 [========>.....................] - ETA: 0s - loss: 0.3128
 78/124 [=================>............] - ETA: 0s - loss: 0.2948
118/124 [===========================>..] - ETA: 0s - loss: 0.2829
124/124 [==============================] - 0s 1ms/step - loss: 0.2818
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.1996
 42/124 [=========>....................] - ETA: 0s - loss: 0.2470
 83/124 [===================>..........] - ETA: 0s - loss: 0.2743
123/124 [============================>.] - ETA: 0s - loss: 0.2764
124/124 [==============================] - 0s 1ms/step - loss: 0.2761
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4165
 42/124 [=========>....................] - ETA: 0s - loss: 0.2587
 82/124 [==================>...........] - ETA: 0s - loss: 0.2614
123/124 [============================>.] - ETA: 0s - loss: 0.2838
124/124 [==============================] - 0s 1ms/step - loss: 0.2846
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.5761
 40/124 [========>.....................] - ETA: 0s - loss: 0.2954
 80/124 [==================>...........] - ETA: 0s - loss: 0.2786
119/124 [===========================>..] - ETA: 0s - loss: 0.2781
124/124 [==============================] - 0s 1ms/step - loss: 0.2818
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.2695
 41/124 [========>.....................] - ETA: 0s - loss: 0.2936
 82/124 [==================>...........] - ETA: 0s - loss: 0.2740
119/124 [===========================>..] - ETA: 0s - loss: 0.2664
124/124 [==============================] - 0s 1ms/step - loss: 0.2702
-> test with GAN.predict
GAN tn, fp: 265, 45
GAN fn, tp: 7, 4
GAN f1 score: 0.133
GAN cohens kappa score: 0.082

-> test with 'LR'
LR tn, fp: 219, 91
LR fn, tp: 1, 10
LR f1 score: 0.179
LR cohens kappa score: 0.124
LR average precision score: 0.155

-> test with 'RF'
RF tn, fp: 308, 2
RF fn, tp: 10, 1
RF f1 score: 0.143
RF cohens kappa score: 0.130

-> test with 'GB'
GB tn, fp: 299, 11
GB fn, tp: 9, 2
GB f1 score: 0.167
GB cohens kappa score: 0.135

-> test with 'KNN'
KNN tn, fp: 251, 59
KNN fn, tp: 8, 3
KNN f1 score: 0.082
KNN cohens kappa score: 0.025


------ Step 4/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.4158
 34/124 [=======>......................] - ETA: 0s - loss: 0.5691 
 64/124 [==============>...............] - ETA: 0s - loss: 0.5141
 99/124 [======================>.......] - ETA: 0s - loss: 0.4847
124/124 [==============================] - 0s 2ms/step - loss: 0.4578
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2113
 34/124 [=======>......................] - ETA: 0s - loss: 0.4182
 73/124 [================>.............] - ETA: 0s - loss: 0.3872
111/124 [=========================>....] - ETA: 0s - loss: 0.3726
124/124 [==============================] - 0s 1ms/step - loss: 0.3682
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.2685
 42/124 [=========>....................] - ETA: 0s - loss: 0.3386
 79/124 [==================>...........] - ETA: 0s - loss: 0.3707
117/124 [===========================>..] - ETA: 0s - loss: 0.3501
124/124 [==============================] - 0s 1ms/step - loss: 0.3459
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3850
 38/124 [========>.....................] - ETA: 0s - loss: 0.3012
 76/124 [=================>............] - ETA: 0s - loss: 0.3185
109/124 [=========================>....] - ETA: 0s - loss: 0.3190
124/124 [==============================] - 0s 1ms/step - loss: 0.3252
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5876
 39/124 [========>.....................] - ETA: 0s - loss: 0.3135
 73/124 [================>.............] - ETA: 0s - loss: 0.3152
112/124 [==========================>...] - ETA: 0s - loss: 0.3194
124/124 [==============================] - 0s 1ms/step - loss: 0.3176
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3299
 39/124 [========>.....................] - ETA: 0s - loss: 0.3305
 79/124 [==================>...........] - ETA: 0s - loss: 0.3133
118/124 [===========================>..] - ETA: 0s - loss: 0.3134
124/124 [==============================] - 0s 1ms/step - loss: 0.3104
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2709
 41/124 [========>.....................] - ETA: 0s - loss: 0.3134
 82/124 [==================>...........] - ETA: 0s - loss: 0.3089
120/124 [============================>.] - ETA: 0s - loss: 0.3277
124/124 [==============================] - 0s 1ms/step - loss: 0.3281
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.4927
 42/124 [=========>....................] - ETA: 0s - loss: 0.3168
 82/124 [==================>...........] - ETA: 0s - loss: 0.3329
119/124 [===========================>..] - ETA: 0s - loss: 0.3173
124/124 [==============================] - 0s 1ms/step - loss: 0.3141
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.4386
 41/124 [========>.....................] - ETA: 0s - loss: 0.2631
 77/124 [=================>............] - ETA: 0s - loss: 0.2897
118/124 [===========================>..] - ETA: 0s - loss: 0.2964
124/124 [==============================] - 0s 1ms/step - loss: 0.2962
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.1597
 36/124 [=======>......................] - ETA: 0s - loss: 0.2771
 71/124 [================>.............] - ETA: 0s - loss: 0.2919
106/124 [========================>.....] - ETA: 0s - loss: 0.2953
124/124 [==============================] - 0s 1ms/step - loss: 0.2921
-> test with GAN.predict
GAN tn, fp: 261, 45
GAN fn, tp: 7, 2
GAN f1 score: 0.071
GAN cohens kappa score: 0.025

-> test with 'LR'
LR tn, fp: 221, 85
LR fn, tp: 7, 2
LR f1 score: 0.042
LR cohens kappa score: -0.011
LR average precision score: 0.034

-> test with 'RF'
RF tn, fp: 287, 19
RF fn, tp: 8, 1
RF f1 score: 0.069
RF cohens kappa score: 0.031

-> test with 'GB'
GB tn, fp: 274, 32
GB fn, tp: 9, 0
GB f1 score: 0.000
GB cohens kappa score: -0.047

-> test with 'KNN'
KNN tn, fp: 210, 96
KNN fn, tp: 6, 3
KNN f1 score: 0.056
KNN cohens kappa score: 0.003


====== Step 5/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 5/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 25s - loss: 0.4335
 34/124 [=======>......................] - ETA: 0s - loss: 0.3835 
 71/124 [================>.............] - ETA: 0s - loss: 0.3886
113/124 [==========================>...] - ETA: 0s - loss: 0.3765
124/124 [==============================] - 0s 1ms/step - loss: 0.3750
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.3127
 40/124 [========>.....................] - ETA: 0s - loss: 0.3503
 79/124 [==================>...........] - ETA: 0s - loss: 0.3450
116/124 [===========================>..] - ETA: 0s - loss: 0.3477
124/124 [==============================] - 0s 1ms/step - loss: 0.3451
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.1957
 38/124 [========>.....................] - ETA: 0s - loss: 0.3093
 74/124 [================>.............] - ETA: 0s - loss: 0.3081
112/124 [==========================>...] - ETA: 0s - loss: 0.3192
124/124 [==============================] - 0s 1ms/step - loss: 0.3199
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2097
 38/124 [========>.....................] - ETA: 0s - loss: 0.3172
 75/124 [=================>............] - ETA: 0s - loss: 0.3287
112/124 [==========================>...] - ETA: 0s - loss: 0.3170
124/124 [==============================] - 0s 1ms/step - loss: 0.3128
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.5155
 38/124 [========>.....................] - ETA: 0s - loss: 0.3122
 75/124 [=================>............] - ETA: 0s - loss: 0.3054
112/124 [==========================>...] - ETA: 0s - loss: 0.3065
124/124 [==============================] - 0s 1ms/step - loss: 0.3107
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2430
 38/124 [========>.....................] - ETA: 0s - loss: 0.3146
 76/124 [=================>............] - ETA: 0s - loss: 0.3073
114/124 [==========================>...] - ETA: 0s - loss: 0.3044
124/124 [==============================] - 0s 1ms/step - loss: 0.3007
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.4606
 38/124 [========>.....................] - ETA: 0s - loss: 0.2995
 74/124 [================>.............] - ETA: 0s - loss: 0.2939
109/124 [=========================>....] - ETA: 0s - loss: 0.3073
124/124 [==============================] - 0s 1ms/step - loss: 0.2991
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.3377
 36/124 [=======>......................] - ETA: 0s - loss: 0.2654
 71/124 [================>.............] - ETA: 0s - loss: 0.2880
107/124 [========================>.....] - ETA: 0s - loss: 0.3140
124/124 [==============================] - 0s 1ms/step - loss: 0.3055
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.6092
 38/124 [========>.....................] - ETA: 0s - loss: 0.2809
 76/124 [=================>............] - ETA: 0s - loss: 0.2765
114/124 [==========================>...] - ETA: 0s - loss: 0.2974
124/124 [==============================] - 0s 1ms/step - loss: 0.3001
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.4026
 40/124 [========>.....................] - ETA: 0s - loss: 0.2809
 75/124 [=================>............] - ETA: 0s - loss: 0.2934
113/124 [==========================>...] - ETA: 0s - loss: 0.2987
124/124 [==============================] - 0s 1ms/step - loss: 0.2962
-> test with GAN.predict
GAN tn, fp: 277, 33
GAN fn, tp: 9, 2
GAN f1 score: 0.087
GAN cohens kappa score: 0.037

-> test with 'LR'
LR tn, fp: 225, 85
LR fn, tp: 5, 6
LR f1 score: 0.118
LR cohens kappa score: 0.060
LR average precision score: 0.074

-> test with 'RF'
RF tn, fp: 301, 9
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.032

-> test with 'GB'
GB tn, fp: 293, 17
GB fn, tp: 9, 2
GB f1 score: 0.133
GB cohens kappa score: 0.094

-> test with 'KNN'
KNN tn, fp: 225, 85
KNN fn, tp: 10, 1
KNN f1 score: 0.021
KNN cohens kappa score: -0.043


------ Step 5/5: Slice 2/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.0423
 40/124 [========>.....................] - ETA: 0s - loss: 0.3811 
 79/124 [==================>...........] - ETA: 0s - loss: 0.3635
114/124 [==========================>...] - ETA: 0s - loss: 0.3636
124/124 [==============================] - 0s 1ms/step - loss: 0.3591
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.0690
 40/124 [========>.....................] - ETA: 0s - loss: 0.3092
 78/124 [=================>............] - ETA: 0s - loss: 0.3120
117/124 [===========================>..] - ETA: 0s - loss: 0.3088
124/124 [==============================] - 0s 1ms/step - loss: 0.3076
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.4537
 34/124 [=======>......................] - ETA: 0s - loss: 0.2910
 67/124 [===============>..............] - ETA: 0s - loss: 0.3078
 99/124 [======================>.......] - ETA: 0s - loss: 0.3003
124/124 [==============================] - 0s 2ms/step - loss: 0.2932
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.3914
 40/124 [========>.....................] - ETA: 0s - loss: 0.2574
 78/124 [=================>............] - ETA: 0s - loss: 0.2721
115/124 [==========================>...] - ETA: 0s - loss: 0.2744
124/124 [==============================] - 0s 1ms/step - loss: 0.2812
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.0879
 39/124 [========>.....................] - ETA: 0s - loss: 0.2782
 77/124 [=================>............] - ETA: 0s - loss: 0.2790
116/124 [===========================>..] - ETA: 0s - loss: 0.2859
124/124 [==============================] - 0s 1ms/step - loss: 0.2871
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.5223
 39/124 [========>.....................] - ETA: 0s - loss: 0.2917
 78/124 [=================>............] - ETA: 0s - loss: 0.3122
116/124 [===========================>..] - ETA: 0s - loss: 0.2822
124/124 [==============================] - 0s 1ms/step - loss: 0.2838
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.4369
 39/124 [========>.....................] - ETA: 0s - loss: 0.2529
 78/124 [=================>............] - ETA: 0s - loss: 0.2758
117/124 [===========================>..] - ETA: 0s - loss: 0.2684
124/124 [==============================] - 0s 1ms/step - loss: 0.2691
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.1903
 39/124 [========>.....................] - ETA: 0s - loss: 0.2635
 77/124 [=================>............] - ETA: 0s - loss: 0.2643
115/124 [==========================>...] - ETA: 0s - loss: 0.2651
124/124 [==============================] - 0s 1ms/step - loss: 0.2663
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.1899
 39/124 [========>.....................] - ETA: 0s - loss: 0.2712
 76/124 [=================>............] - ETA: 0s - loss: 0.2649
114/124 [==========================>...] - ETA: 0s - loss: 0.2730
124/124 [==============================] - 0s 1ms/step - loss: 0.2679
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.0957
 39/124 [========>.....................] - ETA: 0s - loss: 0.3001
 77/124 [=================>............] - ETA: 0s - loss: 0.2678
115/124 [==========================>...] - ETA: 0s - loss: 0.2625
124/124 [==============================] - 0s 1ms/step - loss: 0.2589
-> test with GAN.predict
GAN tn, fp: 265, 45
GAN fn, tp: 9, 2
GAN f1 score: 0.069
GAN cohens kappa score: 0.014

-> test with 'LR'
LR tn, fp: 238, 72
LR fn, tp: 6, 5
LR f1 score: 0.114
LR cohens kappa score: 0.057
LR average precision score: 0.099

-> test with 'RF'
RF tn, fp: 303, 7
RF fn, tp: 11, 0
RF f1 score: 0.000
RF cohens kappa score: -0.027

-> test with 'GB'
GB tn, fp: 298, 12
GB fn, tp: 10, 1
GB f1 score: 0.083
GB cohens kappa score: 0.048

-> test with 'KNN'
KNN tn, fp: 251, 59
KNN fn, tp: 8, 3
KNN f1 score: 0.082
KNN cohens kappa score: 0.025


------ Step 5/5: Slice 3/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 23s - loss: 0.3188
 38/124 [========>.....................] - ETA: 0s - loss: 0.4635 
 77/124 [=================>............] - ETA: 0s - loss: 0.4083
114/124 [==========================>...] - ETA: 0s - loss: 0.4063
124/124 [==============================] - 0s 1ms/step - loss: 0.4097
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.1996
 39/124 [========>.....................] - ETA: 0s - loss: 0.3882
 77/124 [=================>............] - ETA: 0s - loss: 0.3517
115/124 [==========================>...] - ETA: 0s - loss: 0.3354
124/124 [==============================] - 0s 1ms/step - loss: 0.3380
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.2897
 39/124 [========>.....................] - ETA: 0s - loss: 0.2980
 77/124 [=================>............] - ETA: 0s - loss: 0.3264
116/124 [===========================>..] - ETA: 0s - loss: 0.3172
124/124 [==============================] - 0s 1ms/step - loss: 0.3151
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2186
 39/124 [========>.....................] - ETA: 0s - loss: 0.2695
 77/124 [=================>............] - ETA: 0s - loss: 0.3026
114/124 [==========================>...] - ETA: 0s - loss: 0.3069
124/124 [==============================] - 0s 1ms/step - loss: 0.3076
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3682
 35/124 [=======>......................] - ETA: 0s - loss: 0.3206
 72/124 [================>.............] - ETA: 0s - loss: 0.3024
109/124 [=========================>....] - ETA: 0s - loss: 0.3009
124/124 [==============================] - 0s 1ms/step - loss: 0.3020
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2587
 39/124 [========>.....................] - ETA: 0s - loss: 0.2675
 77/124 [=================>............] - ETA: 0s - loss: 0.2803
115/124 [==========================>...] - ETA: 0s - loss: 0.2911
124/124 [==============================] - 0s 1ms/step - loss: 0.2919
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.3229
 39/124 [========>.....................] - ETA: 0s - loss: 0.3014
 77/124 [=================>............] - ETA: 0s - loss: 0.2823
114/124 [==========================>...] - ETA: 0s - loss: 0.2849
124/124 [==============================] - 0s 1ms/step - loss: 0.2867
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2488
 40/124 [========>.....................] - ETA: 0s - loss: 0.2408
 80/124 [==================>...........] - ETA: 0s - loss: 0.2789
115/124 [==========================>...] - ETA: 0s - loss: 0.2861
124/124 [==============================] - 0s 1ms/step - loss: 0.2915
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.3306
 35/124 [=======>......................] - ETA: 0s - loss: 0.3134
 67/124 [===============>..............] - ETA: 0s - loss: 0.3065
104/124 [========================>.....] - ETA: 0s - loss: 0.2912
124/124 [==============================] - 0s 1ms/step - loss: 0.2840
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.1709
 39/124 [========>.....................] - ETA: 0s - loss: 0.2695
 76/124 [=================>............] - ETA: 0s - loss: 0.2696
113/124 [==========================>...] - ETA: 0s - loss: 0.2788
124/124 [==============================] - 0s 1ms/step - loss: 0.2814
-> test with GAN.predict
GAN tn, fp: 230, 80
GAN fn, tp: 6, 5
GAN f1 score: 0.104
GAN cohens kappa score: 0.046

-> test with 'LR'
LR tn, fp: 202, 108
LR fn, tp: 0, 11
LR f1 score: 0.169
LR cohens kappa score: 0.114
LR average precision score: 0.288

-> test with 'RF'
RF tn, fp: 306, 4
RF fn, tp: 10, 1
RF f1 score: 0.125
RF cohens kappa score: 0.106

-> test with 'GB'
GB tn, fp: 292, 18
GB fn, tp: 10, 1
GB f1 score: 0.067
GB cohens kappa score: 0.024

-> test with 'KNN'
KNN tn, fp: 233, 77
KNN fn, tp: 8, 3
KNN f1 score: 0.066
KNN cohens kappa score: 0.006


------ Step 5/5: Slice 4/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1194 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 22s - loss: 0.6004
 40/124 [========>.....................] - ETA: 0s - loss: 0.4404 
 78/124 [=================>............] - ETA: 0s - loss: 0.4357
117/124 [===========================>..] - ETA: 0s - loss: 0.4111
124/124 [==============================] - 0s 1ms/step - loss: 0.4128
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.1672
 39/124 [========>.....................] - ETA: 0s - loss: 0.3647
 76/124 [=================>............] - ETA: 0s - loss: 0.3633
113/124 [==========================>...] - ETA: 0s - loss: 0.3617
124/124 [==============================] - 0s 1ms/step - loss: 0.3605
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.3263
 38/124 [========>.....................] - ETA: 0s - loss: 0.3845
 76/124 [=================>............] - ETA: 0s - loss: 0.3470
114/124 [==========================>...] - ETA: 0s - loss: 0.3520
124/124 [==============================] - 0s 1ms/step - loss: 0.3499
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.4401
 39/124 [========>.....................] - ETA: 0s - loss: 0.3437
 78/124 [=================>............] - ETA: 0s - loss: 0.3488
117/124 [===========================>..] - ETA: 0s - loss: 0.3400
124/124 [==============================] - 0s 1ms/step - loss: 0.3419
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.3869
 39/124 [========>.....................] - ETA: 0s - loss: 0.3329
 77/124 [=================>............] - ETA: 0s - loss: 0.3247
116/124 [===========================>..] - ETA: 0s - loss: 0.3337
124/124 [==============================] - 0s 1ms/step - loss: 0.3318
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.2406
 38/124 [========>.....................] - ETA: 0s - loss: 0.3073
 75/124 [=================>............] - ETA: 0s - loss: 0.3343
113/124 [==========================>...] - ETA: 0s - loss: 0.3397
124/124 [==============================] - 0s 1ms/step - loss: 0.3391
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2243
 39/124 [========>.....................] - ETA: 0s - loss: 0.3540
 78/124 [=================>............] - ETA: 0s - loss: 0.3300
116/124 [===========================>..] - ETA: 0s - loss: 0.3428
124/124 [==============================] - 0s 1ms/step - loss: 0.3366
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.2547
 35/124 [=======>......................] - ETA: 0s - loss: 0.3571
 66/124 [==============>...............] - ETA: 0s - loss: 0.3413
100/124 [=======================>......] - ETA: 0s - loss: 0.3349
124/124 [==============================] - 0s 1ms/step - loss: 0.3211
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.1131
 39/124 [========>.....................] - ETA: 0s - loss: 0.3367
 77/124 [=================>............] - ETA: 0s - loss: 0.3204
115/124 [==========================>...] - ETA: 0s - loss: 0.3204
124/124 [==============================] - 0s 1ms/step - loss: 0.3165
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.3970
 39/124 [========>.....................] - ETA: 0s - loss: 0.3110
 73/124 [================>.............] - ETA: 0s - loss: 0.3111
111/124 [=========================>....] - ETA: 0s - loss: 0.3196
124/124 [==============================] - 0s 1ms/step - loss: 0.3188
-> test with GAN.predict
GAN tn, fp: 268, 42
GAN fn, tp: 7, 4
GAN f1 score: 0.140
GAN cohens kappa score: 0.090

-> test with 'LR'
LR tn, fp: 216, 94
LR fn, tp: 3, 8
LR f1 score: 0.142
LR cohens kappa score: 0.085
LR average precision score: 0.194

-> test with 'RF'
RF tn, fp: 299, 11
RF fn, tp: 10, 1
RF f1 score: 0.087
RF cohens kappa score: 0.053

-> test with 'GB'
GB tn, fp: 295, 15
GB fn, tp: 8, 3
GB f1 score: 0.207
GB cohens kappa score: 0.172

-> test with 'KNN'
KNN tn, fp: 237, 73
KNN fn, tp: 8, 3
KNN f1 score: 0.069
KNN cohens kappa score: 0.010


------ Step 5/5: Slice 5/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
-> create 1196 synthetic samples
-> retrain GAN for predict
Epoch 1/10

  1/124 [..............................] - ETA: 18s - loss: 0.4100
 41/124 [========>.....................] - ETA: 0s - loss: 0.4977 
 82/124 [==================>...........] - ETA: 0s - loss: 0.4402
123/124 [============================>.] - ETA: 0s - loss: 0.4175
124/124 [==============================] - 0s 1ms/step - loss: 0.4168
Epoch 2/10

  1/124 [..............................] - ETA: 0s - loss: 0.2722
 41/124 [========>.....................] - ETA: 0s - loss: 0.3741
 81/124 [==================>...........] - ETA: 0s - loss: 0.3690
121/124 [============================>.] - ETA: 0s - loss: 0.3593
124/124 [==============================] - 0s 1ms/step - loss: 0.3592
Epoch 3/10

  1/124 [..............................] - ETA: 0s - loss: 0.1912
 43/124 [=========>....................] - ETA: 0s - loss: 0.3179
 84/124 [===================>..........] - ETA: 0s - loss: 0.3406
124/124 [==============================] - 0s 1ms/step - loss: 0.3350
Epoch 4/10

  1/124 [..............................] - ETA: 0s - loss: 0.2902
 41/124 [========>.....................] - ETA: 0s - loss: 0.2928
 81/124 [==================>...........] - ETA: 0s - loss: 0.3252
119/124 [===========================>..] - ETA: 0s - loss: 0.3351
124/124 [==============================] - 0s 1ms/step - loss: 0.3325
Epoch 5/10

  1/124 [..............................] - ETA: 0s - loss: 0.1830
 41/124 [========>.....................] - ETA: 0s - loss: 0.2994
 82/124 [==================>...........] - ETA: 0s - loss: 0.3217
123/124 [============================>.] - ETA: 0s - loss: 0.3186
124/124 [==============================] - 0s 1ms/step - loss: 0.3208
Epoch 6/10

  1/124 [..............................] - ETA: 0s - loss: 0.3573
 41/124 [========>.....................] - ETA: 0s - loss: 0.3070
 81/124 [==================>...........] - ETA: 0s - loss: 0.3161
118/124 [===========================>..] - ETA: 0s - loss: 0.3109
124/124 [==============================] - 0s 1ms/step - loss: 0.3124
Epoch 7/10

  1/124 [..............................] - ETA: 0s - loss: 0.2197
 41/124 [========>.....................] - ETA: 0s - loss: 0.3055
 81/124 [==================>...........] - ETA: 0s - loss: 0.3053
119/124 [===========================>..] - ETA: 0s - loss: 0.3027
124/124 [==============================] - 0s 1ms/step - loss: 0.3049
Epoch 8/10

  1/124 [..............................] - ETA: 0s - loss: 0.0977
 38/124 [========>.....................] - ETA: 0s - loss: 0.2935
 77/124 [=================>............] - ETA: 0s - loss: 0.3115
111/124 [=========================>....] - ETA: 0s - loss: 0.2998
124/124 [==============================] - 0s 1ms/step - loss: 0.3032
Epoch 9/10

  1/124 [..............................] - ETA: 0s - loss: 0.1642
 36/124 [=======>......................] - ETA: 0s - loss: 0.3057
 75/124 [=================>............] - ETA: 0s - loss: 0.3186
116/124 [===========================>..] - ETA: 0s - loss: 0.3006
124/124 [==============================] - 0s 1ms/step - loss: 0.3056
Epoch 10/10

  1/124 [..............................] - ETA: 0s - loss: 0.6262
 42/124 [=========>....................] - ETA: 0s - loss: 0.3120
 82/124 [==================>...........] - ETA: 0s - loss: 0.2886
122/124 [============================>.] - ETA: 0s - loss: 0.3048
124/124 [==============================] - 0s 1ms/step - loss: 0.3050
-> test with GAN.predict
GAN tn, fp: 261, 45
GAN fn, tp: 5, 4
GAN f1 score: 0.138
GAN cohens kappa score: 0.094

-> test with 'LR'
LR tn, fp: 238, 68
LR fn, tp: 3, 6
LR f1 score: 0.145
LR cohens kappa score: 0.099
LR average precision score: 0.164

-> test with 'RF'
RF tn, fp: 301, 5
RF fn, tp: 8, 1
RF f1 score: 0.133
RF cohens kappa score: 0.113

-> test with 'GB'
GB tn, fp: 296, 10
GB fn, tp: 8, 1
GB f1 score: 0.100
GB cohens kappa score: 0.071

-> test with 'KNN'
KNN tn, fp: 248, 58
KNN fn, tp: 7, 2
KNN f1 score: 0.058
KNN cohens kappa score: 0.009

### Exercise is done.

-----[ LR ]-----
maximum:
LR tn, fp: 238, 112
LR fn, tp: 7, 11
LR f1 score: 0.179
LR cohens kappa score: 0.124
LR average precision score: 0.358


average:
LR tn, fp: 221.24, 87.96
LR fn, tp: 3.64, 6.96
LR f1 score: 0.131
LR cohens kappa score: 0.076
LR average precision score: 0.171


minimum:
LR tn, fp: 198, 68
LR fn, tp: 0, 2
LR f1 score: 0.042
LR cohens kappa score: -0.011
LR average precision score: 0.034


-----[ RF ]-----
maximum:
RF tn, fp: 308, 19
RF fn, tp: 11, 2
RF f1 score: 0.167
RF cohens kappa score: 0.135


average:
RF tn, fp: 300.2, 9.0
RF fn, tp: 9.88, 0.72
RF f1 score: 0.070
RF cohens kappa score: 0.041


minimum:
RF tn, fp: 287, 2
RF fn, tp: 8, 0
RF f1 score: 0.000
RF cohens kappa score: -0.035


-----[ GB ]-----
maximum:
GB tn, fp: 299, 32
GB fn, tp: 11, 4
GB f1 score: 0.296
GB cohens kappa score: 0.267


average:
GB tn, fp: 291.24, 17.96
GB fn, tp: 9.08, 1.52
GB f1 score: 0.102
GB cohens kappa score: 0.063


minimum:
GB tn, fp: 274, 10
GB fn, tp: 6, 0
GB f1 score: 0.000
GB cohens kappa score: -0.047


-----[ KNN ]-----
maximum:
KNN tn, fp: 251, 102
KNN fn, tp: 10, 4
KNN f1 score: 0.094
KNN cohens kappa score: 0.045


average:
KNN tn, fp: 230.48, 78.72
KNN fn, tp: 7.92, 2.68
KNN f1 score: 0.059
KNN cohens kappa score: 0.000


minimum:
KNN tn, fp: 208, 58
KNN fn, tp: 5, 1
KNN f1 score: 0.018
KNN cohens kappa score: -0.047


-----[ GAN ]-----
maximum:
GAN tn, fp: 288, 87
GAN fn, tp: 11, 6
GAN f1 score: 0.174
GAN cohens kappa score: 0.123


average:
GAN tn, fp: 252.2, 57.0
GAN fn, tp: 6.88, 3.72
GAN f1 score: 0.105
GAN cohens kappa score: 0.052


minimum:
GAN tn, fp: 223, 22
GAN fn, tp: 4, 0
GAN f1 score: 0.000
GAN cohens kappa score: -0.062