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- ///////////////////////////////////////////
- // Running convGAN-majority-5 on folding_hypothyroid
- ///////////////////////////////////////////
- Load 'data_input/folding_hypothyroid'
- from pickle file
- non empty cut in data_input/folding_hypothyroid! (1 points)
- 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 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 38s - loss: 0.1065
41/241 [====>.........................] - ETA: 0s - loss: 0.0770
80/241 [========>.....................] - ETA: 0s - loss: 0.0815
120/241 [=============>................] - ETA: 0s - loss: 0.0842
159/241 [==================>...........] - ETA: 0s - loss: 0.0882
199/241 [=======================>......] - ETA: 0s - loss: 0.0882
237/241 [============================>.] - ETA: 0s - loss: 0.0875
241/241 [==============================] - 0s 1ms/step - loss: 0.0882
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0645
40/241 [===>..........................] - ETA: 0s - loss: 0.0796
79/241 [========>.....................] - ETA: 0s - loss: 0.0781
119/241 [=============>................] - ETA: 0s - loss: 0.0751
158/241 [==================>...........] - ETA: 0s - loss: 0.0771
198/241 [=======================>......] - ETA: 0s - loss: 0.0810
238/241 [============================>.] - ETA: 0s - loss: 0.0836
241/241 [==============================] - 0s 1ms/step - loss: 0.0842
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0221
39/241 [===>..........................] - ETA: 0s - loss: 0.0772
69/241 [=======>......................] - ETA: 0s - loss: 0.0795
104/241 [===========>..................] - ETA: 0s - loss: 0.0812
138/241 [================>.............] - ETA: 0s - loss: 0.0820
174/241 [====================>.........] - ETA: 0s - loss: 0.0820
213/241 [=========================>....] - ETA: 0s - loss: 0.0825
241/241 [==============================] - 0s 1ms/step - loss: 0.0797
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0809
39/241 [===>..........................] - ETA: 0s - loss: 0.0803
78/241 [========>.....................] - ETA: 0s - loss: 0.0890
115/241 [=============>................] - ETA: 0s - loss: 0.0839
153/241 [==================>...........] - ETA: 0s - loss: 0.0857
192/241 [======================>.......] - ETA: 0s - loss: 0.0789
231/241 [===========================>..] - ETA: 0s - loss: 0.0772
241/241 [==============================] - 0s 1ms/step - loss: 0.0774
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0273
41/241 [====>.........................] - ETA: 0s - loss: 0.0692
80/241 [========>.....................] - ETA: 0s - loss: 0.0715
121/241 [==============>...............] - ETA: 0s - loss: 0.0695
160/241 [==================>...........] - ETA: 0s - loss: 0.0777
200/241 [=======================>......] - ETA: 0s - loss: 0.0768
240/241 [============================>.] - ETA: 0s - loss: 0.0763
241/241 [==============================] - 0s 1ms/step - loss: 0.0762
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0121
35/241 [===>..........................] - ETA: 0s - loss: 0.0972
60/241 [======>.......................] - ETA: 0s - loss: 0.0761
92/241 [==========>...................] - ETA: 0s - loss: 0.0817
123/241 [==============>...............] - ETA: 0s - loss: 0.0802
163/241 [===================>..........] - ETA: 0s - loss: 0.0749
203/241 [========================>.....] - ETA: 0s - loss: 0.0697
238/241 [============================>.] - ETA: 0s - loss: 0.0712
241/241 [==============================] - 0s 2ms/step - loss: 0.0725
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0497
41/241 [====>.........................] - ETA: 0s - loss: 0.0607
81/241 [=========>....................] - ETA: 0s - loss: 0.0764
121/241 [==============>...............] - ETA: 0s - loss: 0.0777
159/241 [==================>...........] - ETA: 0s - loss: 0.0743
197/241 [=======================>......] - ETA: 0s - loss: 0.0748
236/241 [============================>.] - ETA: 0s - loss: 0.0744
241/241 [==============================] - 0s 1ms/step - loss: 0.0742
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0104
41/241 [====>.........................] - ETA: 0s - loss: 0.0709
81/241 [=========>....................] - ETA: 0s - loss: 0.0713
120/241 [=============>................] - ETA: 0s - loss: 0.0687
157/241 [==================>...........] - ETA: 0s - loss: 0.0690
197/241 [=======================>......] - ETA: 0s - loss: 0.0692
237/241 [============================>.] - ETA: 0s - loss: 0.0713
241/241 [==============================] - 0s 1ms/step - loss: 0.0702
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0043
41/241 [====>.........................] - ETA: 0s - loss: 0.0689
78/241 [========>.....................] - ETA: 0s - loss: 0.0665
118/241 [=============>................] - ETA: 0s - loss: 0.0636
156/241 [==================>...........] - ETA: 0s - loss: 0.0685
189/241 [======================>.......] - ETA: 0s - loss: 0.0687
224/241 [==========================>...] - ETA: 0s - loss: 0.0741
241/241 [==============================] - 0s 1ms/step - loss: 0.0737
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0811
35/241 [===>..........................] - ETA: 0s - loss: 0.0580
72/241 [=======>......................] - ETA: 0s - loss: 0.0560
111/241 [============>.................] - ETA: 0s - loss: 0.0598
141/241 [================>.............] - ETA: 0s - loss: 0.0625
174/241 [====================>.........] - ETA: 0s - loss: 0.0645
215/241 [=========================>....] - ETA: 0s - loss: 0.0693
241/241 [==============================] - 0s 1ms/step - loss: 0.0681
- -> test with GAN.predict
- GAN tn, fp: 581, 22
- GAN fn, tp: 3, 28
- GAN f1 score: 0.691
- GAN cohens kappa score: 0.672
- -> test with 'LR'
- LR tn, fp: 524, 79
- LR fn, tp: 4, 27
- LR f1 score: 0.394
- LR cohens kappa score: 0.345
- LR average precision score: 0.485
- -> test with 'RF'
- RF tn, fp: 597, 6
- RF fn, tp: 5, 26
- RF f1 score: 0.825
- RF cohens kappa score: 0.816
- -> test with 'GB'
- GB tn, fp: 592, 11
- GB fn, tp: 5, 26
- GB f1 score: 0.765
- GB cohens kappa score: 0.751
- -> test with 'KNN'
- KNN tn, fp: 578, 25
- KNN fn, tp: 4, 27
- KNN f1 score: 0.651
- KNN cohens kappa score: 0.628
- ------ Step 1/5: Slice 2/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 1:06 - loss: 0.1971
15/241 [>.............................] - ETA: 0s - loss: 0.1062
28/241 [==>...........................] - ETA: 0s - loss: 0.1223
49/241 [=====>........................] - ETA: 0s - loss: 0.1181
69/241 [=======>......................] - ETA: 0s - loss: 0.1049
91/241 [==========>...................] - ETA: 0s - loss: 0.1027
112/241 [============>.................] - ETA: 0s - loss: 0.1004
131/241 [===============>..............] - ETA: 0s - loss: 0.0954
150/241 [=================>............] - ETA: 0s - loss: 0.0927
169/241 [====================>.........] - ETA: 0s - loss: 0.0929
183/241 [=====================>........] - ETA: 0s - loss: 0.0931
197/241 [=======================>......] - ETA: 0s - loss: 0.0915
215/241 [=========================>....] - ETA: 0s - loss: 0.0898
237/241 [============================>.] - ETA: 0s - loss: 0.0899
241/241 [==============================] - 1s 3ms/step - loss: 0.0896
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0318
21/241 [=>............................] - ETA: 0s - loss: 0.1002
40/241 [===>..........................] - ETA: 0s - loss: 0.0880
58/241 [======>.......................] - ETA: 0s - loss: 0.0948
77/241 [========>.....................] - ETA: 0s - loss: 0.0832
98/241 [===========>..................] - ETA: 0s - loss: 0.0904
115/241 [=============>................] - ETA: 0s - loss: 0.0897
139/241 [================>.............] - ETA: 0s - loss: 0.0903
160/241 [==================>...........] - ETA: 0s - loss: 0.0889
181/241 [=====================>........] - ETA: 0s - loss: 0.0879
198/241 [=======================>......] - ETA: 0s - loss: 0.0867
216/241 [=========================>....] - ETA: 0s - loss: 0.0856
234/241 [============================>.] - ETA: 0s - loss: 0.0829
241/241 [==============================] - 1s 3ms/step - loss: 0.0835
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0336
15/241 [>.............................] - ETA: 0s - loss: 0.0855
26/241 [==>...........................] - ETA: 0s - loss: 0.0905
40/241 [===>..........................] - ETA: 0s - loss: 0.0896
55/241 [=====>........................] - ETA: 0s - loss: 0.0789
68/241 [=======>......................] - ETA: 0s - loss: 0.0776
78/241 [========>.....................] - ETA: 0s - loss: 0.0744
88/241 [=========>....................] - ETA: 0s - loss: 0.0767
107/241 [============>.................] - ETA: 0s - loss: 0.0720
123/241 [==============>...............] - ETA: 0s - loss: 0.0697
142/241 [================>.............] - ETA: 0s - loss: 0.0757
162/241 [===================>..........] - ETA: 0s - loss: 0.0802
185/241 [======================>.......] - ETA: 0s - loss: 0.0797
208/241 [========================>.....] - ETA: 0s - loss: 0.0820
232/241 [===========================>..] - ETA: 0s - loss: 0.0827
241/241 [==============================] - 1s 3ms/step - loss: 0.0816
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1213
28/241 [==>...........................] - ETA: 0s - loss: 0.0902
55/241 [=====>........................] - ETA: 0s - loss: 0.0785
83/241 [=========>....................] - ETA: 0s - loss: 0.0841
113/241 [=============>................] - ETA: 0s - loss: 0.0805
141/241 [================>.............] - ETA: 0s - loss: 0.0734
170/241 [====================>.........] - ETA: 0s - loss: 0.0781
198/241 [=======================>......] - ETA: 0s - loss: 0.0799
232/241 [===========================>..] - ETA: 0s - loss: 0.0792
241/241 [==============================] - 0s 2ms/step - loss: 0.0793
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0227
31/241 [==>...........................] - ETA: 0s - loss: 0.0775
58/241 [======>.......................] - ETA: 0s - loss: 0.0797
83/241 [=========>....................] - ETA: 0s - loss: 0.0763
108/241 [============>.................] - ETA: 0s - loss: 0.0771
136/241 [===============>..............] - ETA: 0s - loss: 0.0833
161/241 [===================>..........] - ETA: 0s - loss: 0.0864
189/241 [======================>.......] - ETA: 0s - loss: 0.0839
219/241 [==========================>...] - ETA: 0s - loss: 0.0856
241/241 [==============================] - 0s 2ms/step - loss: 0.0852
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0067
31/241 [==>...........................] - ETA: 0s - loss: 0.0625
60/241 [======>.......................] - ETA: 0s - loss: 0.0575
89/241 [==========>...................] - ETA: 0s - loss: 0.0788
120/241 [=============>................] - ETA: 0s - loss: 0.0796
155/241 [==================>...........] - ETA: 0s - loss: 0.0800
190/241 [======================>.......] - ETA: 0s - loss: 0.0796
222/241 [==========================>...] - ETA: 0s - loss: 0.0766
241/241 [==============================] - 0s 2ms/step - loss: 0.0768
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0129
39/241 [===>..........................] - ETA: 0s - loss: 0.0868
73/241 [========>.....................] - ETA: 0s - loss: 0.0833
106/241 [============>.................] - ETA: 0s - loss: 0.0823
142/241 [================>.............] - ETA: 0s - loss: 0.0828
170/241 [====================>.........] - ETA: 0s - loss: 0.0813
203/241 [========================>.....] - ETA: 0s - loss: 0.0802
239/241 [============================>.] - ETA: 0s - loss: 0.0764
241/241 [==============================] - 0s 1ms/step - loss: 0.0766
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1871
34/241 [===>..........................] - ETA: 0s - loss: 0.0654
67/241 [=======>......................] - ETA: 0s - loss: 0.0635
103/241 [===========>..................] - ETA: 0s - loss: 0.0594
136/241 [===============>..............] - ETA: 0s - loss: 0.0641
170/241 [====================>.........] - ETA: 0s - loss: 0.0648
201/241 [========================>.....] - ETA: 0s - loss: 0.0684
235/241 [============================>.] - ETA: 0s - loss: 0.0702
241/241 [==============================] - 0s 2ms/step - loss: 0.0719
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1225
31/241 [==>...........................] - ETA: 0s - loss: 0.0765
64/241 [======>.......................] - ETA: 0s - loss: 0.0778
97/241 [===========>..................] - ETA: 0s - loss: 0.0803
132/241 [===============>..............] - ETA: 0s - loss: 0.0764
167/241 [===================>..........] - ETA: 0s - loss: 0.0733
202/241 [========================>.....] - ETA: 0s - loss: 0.0689
235/241 [============================>.] - ETA: 0s - loss: 0.0683
241/241 [==============================] - 0s 2ms/step - loss: 0.0687
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0056
35/241 [===>..........................] - ETA: 0s - loss: 0.0636
70/241 [=======>......................] - ETA: 0s - loss: 0.0592
103/241 [===========>..................] - ETA: 0s - loss: 0.0579
132/241 [===============>..............] - ETA: 0s - loss: 0.0617
164/241 [===================>..........] - ETA: 0s - loss: 0.0723
198/241 [=======================>......] - ETA: 0s - loss: 0.0754
229/241 [===========================>..] - ETA: 0s - loss: 0.0747
241/241 [==============================] - 0s 2ms/step - loss: 0.0743
- -> test with GAN.predict
- GAN tn, fp: 580, 23
- GAN fn, tp: 5, 26
- GAN f1 score: 0.650
- GAN cohens kappa score: 0.628
- -> test with 'LR'
- LR tn, fp: 517, 86
- LR fn, tp: 3, 28
- LR f1 score: 0.386
- LR cohens kappa score: 0.335
- LR average precision score: 0.469
- -> test with 'RF'
- RF tn, fp: 594, 9
- RF fn, tp: 4, 27
- RF f1 score: 0.806
- RF cohens kappa score: 0.795
- -> test with 'GB'
- GB tn, fp: 589, 14
- GB fn, tp: 2, 29
- GB f1 score: 0.784
- GB cohens kappa score: 0.771
- -> test with 'KNN'
- KNN tn, fp: 568, 35
- KNN fn, tp: 4, 27
- KNN f1 score: 0.581
- KNN cohens kappa score: 0.551
- ------ Step 1/5: Slice 3/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 44s - loss: 0.1380
38/241 [===>..........................] - ETA: 0s - loss: 0.1156
77/241 [========>.....................] - ETA: 0s - loss: 0.0944
115/241 [=============>................] - ETA: 0s - loss: 0.0902
153/241 [==================>...........] - ETA: 0s - loss: 0.0867
192/241 [======================>.......] - ETA: 0s - loss: 0.0896
230/241 [===========================>..] - ETA: 0s - loss: 0.0902
241/241 [==============================] - 1s 1ms/step - loss: 0.0895
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0771
40/241 [===>..........................] - ETA: 0s - loss: 0.0642
80/241 [========>.....................] - ETA: 0s - loss: 0.0761
120/241 [=============>................] - ETA: 0s - loss: 0.0732
159/241 [==================>...........] - ETA: 0s - loss: 0.0699
194/241 [=======================>......] - ETA: 0s - loss: 0.0726
230/241 [===========================>..] - ETA: 0s - loss: 0.0754
241/241 [==============================] - 0s 1ms/step - loss: 0.0757
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2921
37/241 [===>..........................] - ETA: 0s - loss: 0.0805
76/241 [========>.....................] - ETA: 0s - loss: 0.0809
115/241 [=============>................] - ETA: 0s - loss: 0.0758
152/241 [=================>............] - ETA: 0s - loss: 0.0803
190/241 [======================>.......] - ETA: 0s - loss: 0.0778
225/241 [===========================>..] - ETA: 0s - loss: 0.0767
241/241 [==============================] - 0s 1ms/step - loss: 0.0758
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0435
39/241 [===>..........................] - ETA: 0s - loss: 0.0773
78/241 [========>.....................] - ETA: 0s - loss: 0.0758
114/241 [=============>................] - ETA: 0s - loss: 0.0710
153/241 [==================>...........] - ETA: 0s - loss: 0.0703
191/241 [======================>.......] - ETA: 0s - loss: 0.0680
223/241 [==========================>...] - ETA: 0s - loss: 0.0705
241/241 [==============================] - 0s 1ms/step - loss: 0.0709
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1229
38/241 [===>..........................] - ETA: 0s - loss: 0.0816
76/241 [========>.....................] - ETA: 0s - loss: 0.0660
113/241 [=============>................] - ETA: 0s - loss: 0.0663
151/241 [=================>............] - ETA: 0s - loss: 0.0653
188/241 [======================>.......] - ETA: 0s - loss: 0.0691
224/241 [==========================>...] - ETA: 0s - loss: 0.0716
241/241 [==============================] - 0s 1ms/step - loss: 0.0731
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0414
40/241 [===>..........................] - ETA: 0s - loss: 0.0631
75/241 [========>.....................] - ETA: 0s - loss: 0.0638
113/241 [=============>................] - ETA: 0s - loss: 0.0647
150/241 [=================>............] - ETA: 0s - loss: 0.0663
182/241 [=====================>........] - ETA: 0s - loss: 0.0684
214/241 [=========================>....] - ETA: 0s - loss: 0.0675
241/241 [==============================] - 0s 1ms/step - loss: 0.0675
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0385
39/241 [===>..........................] - ETA: 0s - loss: 0.0613
78/241 [========>.....................] - ETA: 0s - loss: 0.0627
117/241 [=============>................] - ETA: 0s - loss: 0.0611
154/241 [==================>...........] - ETA: 0s - loss: 0.0623
192/241 [======================>.......] - ETA: 0s - loss: 0.0608
228/241 [===========================>..] - ETA: 0s - loss: 0.0650
241/241 [==============================] - 0s 1ms/step - loss: 0.0654
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0220
37/241 [===>..........................] - ETA: 0s - loss: 0.0498
74/241 [========>.....................] - ETA: 0s - loss: 0.0508
114/241 [=============>................] - ETA: 0s - loss: 0.0534
153/241 [==================>...........] - ETA: 0s - loss: 0.0608
192/241 [======================>.......] - ETA: 0s - loss: 0.0634
230/241 [===========================>..] - ETA: 0s - loss: 0.0617
241/241 [==============================] - 0s 1ms/step - loss: 0.0612
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0255
40/241 [===>..........................] - ETA: 0s - loss: 0.0817
77/241 [========>.....................] - ETA: 0s - loss: 0.0793
112/241 [============>.................] - ETA: 0s - loss: 0.0771
145/241 [=================>............] - ETA: 0s - loss: 0.0737
183/241 [=====================>........] - ETA: 0s - loss: 0.0750
217/241 [==========================>...] - ETA: 0s - loss: 0.0747
241/241 [==============================] - 0s 1ms/step - loss: 0.0721
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1070
36/241 [===>..........................] - ETA: 0s - loss: 0.0584
75/241 [========>.....................] - ETA: 0s - loss: 0.0616
114/241 [=============>................] - ETA: 0s - loss: 0.0641
149/241 [=================>............] - ETA: 0s - loss: 0.0623
186/241 [======================>.......] - ETA: 0s - loss: 0.0624
224/241 [==========================>...] - ETA: 0s - loss: 0.0647
241/241 [==============================] - 0s 1ms/step - loss: 0.0649
- -> test with GAN.predict
- GAN tn, fp: 591, 12
- GAN fn, tp: 8, 23
- GAN f1 score: 0.697
- GAN cohens kappa score: 0.680
- -> test with 'LR'
- LR tn, fp: 514, 89
- LR fn, tp: 6, 25
- LR f1 score: 0.345
- LR cohens kappa score: 0.290
- LR average precision score: 0.356
- -> test with 'RF'
- RF tn, fp: 600, 3
- RF fn, tp: 5, 26
- RF f1 score: 0.867
- RF cohens kappa score: 0.860
- -> test with 'GB'
- GB tn, fp: 589, 14
- GB fn, tp: 4, 27
- GB f1 score: 0.750
- GB cohens kappa score: 0.735
- -> test with 'KNN'
- KNN tn, fp: 582, 21
- KNN fn, tp: 7, 24
- KNN f1 score: 0.632
- KNN cohens kappa score: 0.609
- ------ Step 1/5: Slice 4/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 38s - loss: 0.0824
39/241 [===>..........................] - ETA: 0s - loss: 0.1050
77/241 [========>.....................] - ETA: 0s - loss: 0.1012
113/241 [=============>................] - ETA: 0s - loss: 0.0982
153/241 [==================>...........] - ETA: 0s - loss: 0.0901
190/241 [======================>.......] - ETA: 0s - loss: 0.0919
226/241 [===========================>..] - ETA: 0s - loss: 0.0900
241/241 [==============================] - 0s 1ms/step - loss: 0.0877
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0223
37/241 [===>..........................] - ETA: 0s - loss: 0.0902
72/241 [=======>......................] - ETA: 0s - loss: 0.0841
109/241 [============>.................] - ETA: 0s - loss: 0.0825
146/241 [=================>............] - ETA: 0s - loss: 0.0804
184/241 [=====================>........] - ETA: 0s - loss: 0.0788
222/241 [==========================>...] - ETA: 0s - loss: 0.0820
241/241 [==============================] - 0s 1ms/step - loss: 0.0847
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0417
35/241 [===>..........................] - ETA: 0s - loss: 0.0958
71/241 [=======>......................] - ETA: 0s - loss: 0.0818
108/241 [============>.................] - ETA: 0s - loss: 0.0922
145/241 [=================>............] - ETA: 0s - loss: 0.0882
185/241 [======================>.......] - ETA: 0s - loss: 0.0851
224/241 [==========================>...] - ETA: 0s - loss: 0.0872
241/241 [==============================] - 0s 1ms/step - loss: 0.0874
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0114
39/241 [===>..........................] - ETA: 0s - loss: 0.0645
79/241 [========>.....................] - ETA: 0s - loss: 0.0864
118/241 [=============>................] - ETA: 0s - loss: 0.0784
157/241 [==================>...........] - ETA: 0s - loss: 0.0769
195/241 [=======================>......] - ETA: 0s - loss: 0.0833
231/241 [===========================>..] - ETA: 0s - loss: 0.0851
241/241 [==============================] - 0s 1ms/step - loss: 0.0841
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0080
31/241 [==>...........................] - ETA: 0s - loss: 0.1013
60/241 [======>.......................] - ETA: 0s - loss: 0.0927
94/241 [==========>...................] - ETA: 0s - loss: 0.0916
130/241 [===============>..............] - ETA: 0s - loss: 0.0864
170/241 [====================>.........] - ETA: 0s - loss: 0.0858
209/241 [=========================>....] - ETA: 0s - loss: 0.0817
241/241 [==============================] - 0s 1ms/step - loss: 0.0810
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0185
38/241 [===>..........................] - ETA: 0s - loss: 0.0745
75/241 [========>.....................] - ETA: 0s - loss: 0.0820
113/241 [=============>................] - ETA: 0s - loss: 0.0743
148/241 [=================>............] - ETA: 0s - loss: 0.0784
187/241 [======================>.......] - ETA: 0s - loss: 0.0777
223/241 [==========================>...] - ETA: 0s - loss: 0.0811
241/241 [==============================] - 0s 1ms/step - loss: 0.0814
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2167
40/241 [===>..........................] - ETA: 0s - loss: 0.0893
77/241 [========>.....................] - ETA: 0s - loss: 0.0832
115/241 [=============>................] - ETA: 0s - loss: 0.0805
153/241 [==================>...........] - ETA: 0s - loss: 0.0855
190/241 [======================>.......] - ETA: 0s - loss: 0.0872
227/241 [===========================>..] - ETA: 0s - loss: 0.0812
241/241 [==============================] - 0s 1ms/step - loss: 0.0806
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0141
37/241 [===>..........................] - ETA: 0s - loss: 0.0824
75/241 [========>.....................] - ETA: 0s - loss: 0.0782
113/241 [=============>................] - ETA: 0s - loss: 0.0747
151/241 [=================>............] - ETA: 0s - loss: 0.0730
188/241 [======================>.......] - ETA: 0s - loss: 0.0759
225/241 [===========================>..] - ETA: 0s - loss: 0.0794
241/241 [==============================] - 0s 1ms/step - loss: 0.0816
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.3249
33/241 [===>..........................] - ETA: 0s - loss: 0.0762
63/241 [======>.......................] - ETA: 0s - loss: 0.0810
98/241 [===========>..................] - ETA: 0s - loss: 0.0754
133/241 [===============>..............] - ETA: 0s - loss: 0.0766
172/241 [====================>.........] - ETA: 0s - loss: 0.0789
207/241 [========================>.....] - ETA: 0s - loss: 0.0784
241/241 [==============================] - 0s 1ms/step - loss: 0.0785
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0729
40/241 [===>..........................] - ETA: 0s - loss: 0.0744
79/241 [========>.....................] - ETA: 0s - loss: 0.0821
118/241 [=============>................] - ETA: 0s - loss: 0.0771
157/241 [==================>...........] - ETA: 0s - loss: 0.0794
195/241 [=======================>......] - ETA: 0s - loss: 0.0775
231/241 [===========================>..] - ETA: 0s - loss: 0.0775
241/241 [==============================] - 0s 1ms/step - loss: 0.0804
- -> test with GAN.predict
- GAN tn, fp: 579, 24
- GAN fn, tp: 8, 23
- GAN f1 score: 0.590
- GAN cohens kappa score: 0.564
- -> test with 'LR'
- LR tn, fp: 504, 99
- LR fn, tp: 4, 27
- LR f1 score: 0.344
- LR cohens kappa score: 0.288
- LR average precision score: 0.415
- -> test with 'RF'
- RF tn, fp: 600, 3
- RF fn, tp: 13, 18
- RF f1 score: 0.692
- RF cohens kappa score: 0.680
- -> test with 'GB'
- GB tn, fp: 595, 8
- GB fn, tp: 7, 24
- GB f1 score: 0.762
- GB cohens kappa score: 0.749
- -> test with 'KNN'
- KNN tn, fp: 576, 27
- KNN fn, tp: 11, 20
- KNN f1 score: 0.513
- KNN cohens kappa score: 0.482
- ------ Step 1/5: Slice 5/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2288 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/242 [..............................] - ETA: 43s - loss: 0.0627
39/242 [===>..........................] - ETA: 0s - loss: 0.0583
77/242 [========>.....................] - ETA: 0s - loss: 0.0663
116/242 [=============>................] - ETA: 0s - loss: 0.0686
153/242 [=================>............] - ETA: 0s - loss: 0.0725
191/242 [======================>.......] - ETA: 0s - loss: 0.0739
231/242 [===========================>..] - ETA: 0s - loss: 0.0751
242/242 [==============================] - 1s 1ms/step - loss: 0.0759
- Epoch 2/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0280
37/242 [===>..........................] - ETA: 0s - loss: 0.0865
71/242 [=======>......................] - ETA: 0s - loss: 0.0719
105/242 [============>.................] - ETA: 0s - loss: 0.0725
142/242 [================>.............] - ETA: 0s - loss: 0.0700
181/242 [=====================>........] - ETA: 0s - loss: 0.0684
219/242 [==========================>...] - ETA: 0s - loss: 0.0697
242/242 [==============================] - 0s 1ms/step - loss: 0.0695
- Epoch 3/10
-
1/242 [..............................] - ETA: 0s - loss: 0.1102
41/242 [====>.........................] - ETA: 0s - loss: 0.0556
77/242 [========>.....................] - ETA: 0s - loss: 0.0637
114/242 [=============>................] - ETA: 0s - loss: 0.0669
151/242 [=================>............] - ETA: 0s - loss: 0.0703
190/242 [======================>.......] - ETA: 0s - loss: 0.0735
228/242 [===========================>..] - ETA: 0s - loss: 0.0730
242/242 [==============================] - 0s 1ms/step - loss: 0.0745
- Epoch 4/10
-
1/242 [..............................] - ETA: 0s - loss: 0.2572
39/242 [===>..........................] - ETA: 0s - loss: 0.0609
76/242 [========>.....................] - ETA: 0s - loss: 0.0563
115/242 [=============>................] - ETA: 0s - loss: 0.0631
154/242 [==================>...........] - ETA: 0s - loss: 0.0629
193/242 [======================>.......] - ETA: 0s - loss: 0.0665
230/242 [===========================>..] - ETA: 0s - loss: 0.0665
242/242 [==============================] - 0s 1ms/step - loss: 0.0672
- Epoch 5/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0240
38/242 [===>..........................] - ETA: 0s - loss: 0.0788
74/242 [========>.....................] - ETA: 0s - loss: 0.0667
111/242 [============>.................] - ETA: 0s - loss: 0.0677
148/242 [=================>............] - ETA: 0s - loss: 0.0688
186/242 [======================>.......] - ETA: 0s - loss: 0.0704
221/242 [==========================>...] - ETA: 0s - loss: 0.0696
242/242 [==============================] - 0s 1ms/step - loss: 0.0714
- Epoch 6/10
-
1/242 [..............................] - ETA: 0s - loss: 0.2909
36/242 [===>..........................] - ETA: 0s - loss: 0.0889
70/242 [=======>......................] - ETA: 0s - loss: 0.0715
102/242 [===========>..................] - ETA: 0s - loss: 0.0651
135/242 [===============>..............] - ETA: 0s - loss: 0.0600
170/242 [====================>.........] - ETA: 0s - loss: 0.0651
208/242 [========================>.....] - ETA: 0s - loss: 0.0657
242/242 [==============================] - 0s 1ms/step - loss: 0.0653
- Epoch 7/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0091
38/242 [===>..........................] - ETA: 0s - loss: 0.0569
75/242 [========>.....................] - ETA: 0s - loss: 0.0581
112/242 [============>.................] - ETA: 0s - loss: 0.0621
149/242 [=================>............] - ETA: 0s - loss: 0.0662
186/242 [======================>.......] - ETA: 0s - loss: 0.0693
221/242 [==========================>...] - ETA: 0s - loss: 0.0685
242/242 [==============================] - 0s 1ms/step - loss: 0.0678
- Epoch 8/10
-
1/242 [..............................] - ETA: 0s - loss: 0.1031
40/242 [===>..........................] - ETA: 0s - loss: 0.0637
78/242 [========>.....................] - ETA: 0s - loss: 0.0705
117/242 [=============>................] - ETA: 0s - loss: 0.0690
154/242 [==================>...........] - ETA: 0s - loss: 0.0641
191/242 [======================>.......] - ETA: 0s - loss: 0.0643
227/242 [===========================>..] - ETA: 0s - loss: 0.0680
242/242 [==============================] - 0s 1ms/step - loss: 0.0667
- Epoch 9/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0221
40/242 [===>..........................] - ETA: 0s - loss: 0.0748
79/242 [========>.....................] - ETA: 0s - loss: 0.0729
118/242 [=============>................] - ETA: 0s - loss: 0.0750
155/242 [==================>...........] - ETA: 0s - loss: 0.0665
192/242 [======================>.......] - ETA: 0s - loss: 0.0650
229/242 [===========================>..] - ETA: 0s - loss: 0.0650
242/242 [==============================] - 0s 1ms/step - loss: 0.0652
- Epoch 10/10
-
1/242 [..............................] - ETA: 0s - loss: 0.2679
38/242 [===>..........................] - ETA: 0s - loss: 0.0536
75/242 [========>.....................] - ETA: 0s - loss: 0.0528
108/242 [============>.................] - ETA: 0s - loss: 0.0608
140/242 [================>.............] - ETA: 0s - loss: 0.0588
172/242 [====================>.........] - ETA: 0s - loss: 0.0565
207/242 [========================>.....] - ETA: 0s - loss: 0.0573
242/242 [==============================] - 0s 1ms/step - loss: 0.0594
- -> test with GAN.predict
- GAN tn, fp: 587, 13
- GAN fn, tp: 7, 20
- GAN f1 score: 0.667
- GAN cohens kappa score: 0.650
- -> test with 'LR'
- LR tn, fp: 518, 82
- LR fn, tp: 2, 25
- LR f1 score: 0.373
- LR cohens kappa score: 0.327
- LR average precision score: 0.542
- -> test with 'RF'
- RF tn, fp: 596, 4
- RF fn, tp: 7, 20
- RF f1 score: 0.784
- RF cohens kappa score: 0.775
- -> test with 'GB'
- GB tn, fp: 592, 8
- GB fn, tp: 3, 24
- GB f1 score: 0.814
- GB cohens kappa score: 0.804
- -> test with 'KNN'
- KNN tn, fp: 566, 34
- KNN fn, tp: 5, 22
- KNN f1 score: 0.530
- KNN cohens kappa score: 0.501
- ====== Step 2/5 =======
- -> Shuffling data
- -> Spliting data to slices
- ------ Step 2/5: Slice 1/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 51s - loss: 0.1302
40/241 [===>..........................] - ETA: 0s - loss: 0.0850
78/241 [========>.....................] - ETA: 0s - loss: 0.0873
117/241 [=============>................] - ETA: 0s - loss: 0.0788
155/241 [==================>...........] - ETA: 0s - loss: 0.0790
194/241 [=======================>......] - ETA: 0s - loss: 0.0800
231/241 [===========================>..] - ETA: 0s - loss: 0.0810
241/241 [==============================] - 1s 1ms/step - loss: 0.0814
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0320
39/241 [===>..........................] - ETA: 0s - loss: 0.0619
75/241 [========>.....................] - ETA: 0s - loss: 0.0702
110/241 [============>.................] - ETA: 0s - loss: 0.0739
148/241 [=================>............] - ETA: 0s - loss: 0.0850
186/241 [======================>.......] - ETA: 0s - loss: 0.0840
225/241 [===========================>..] - ETA: 0s - loss: 0.0780
241/241 [==============================] - 0s 1ms/step - loss: 0.0774
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0697
39/241 [===>..........................] - ETA: 0s - loss: 0.0648
79/241 [========>.....................] - ETA: 0s - loss: 0.0782
116/241 [=============>................] - ETA: 0s - loss: 0.0778
155/241 [==================>...........] - ETA: 0s - loss: 0.0758
191/241 [======================>.......] - ETA: 0s - loss: 0.0764
229/241 [===========================>..] - ETA: 0s - loss: 0.0772
241/241 [==============================] - 0s 1ms/step - loss: 0.0766
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0355
38/241 [===>..........................] - ETA: 0s - loss: 0.0875
75/241 [========>.....................] - ETA: 0s - loss: 0.0773
114/241 [=============>................] - ETA: 0s - loss: 0.0822
151/241 [=================>............] - ETA: 0s - loss: 0.0846
188/241 [======================>.......] - ETA: 0s - loss: 0.0813
225/241 [===========================>..] - ETA: 0s - loss: 0.0764
241/241 [==============================] - 0s 1ms/step - loss: 0.0745
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.3085
38/241 [===>..........................] - ETA: 0s - loss: 0.0855
76/241 [========>.....................] - ETA: 0s - loss: 0.0804
112/241 [============>.................] - ETA: 0s - loss: 0.0788
151/241 [=================>............] - ETA: 0s - loss: 0.0758
190/241 [======================>.......] - ETA: 0s - loss: 0.0739
228/241 [===========================>..] - ETA: 0s - loss: 0.0725
241/241 [==============================] - 0s 1ms/step - loss: 0.0723
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0306
37/241 [===>..........................] - ETA: 0s - loss: 0.0645
67/241 [=======>......................] - ETA: 0s - loss: 0.0601
102/241 [===========>..................] - ETA: 0s - loss: 0.0634
138/241 [================>.............] - ETA: 0s - loss: 0.0658
174/241 [====================>.........] - ETA: 0s - loss: 0.0693
212/241 [=========================>....] - ETA: 0s - loss: 0.0706
241/241 [==============================] - 0s 1ms/step - loss: 0.0733
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0042
38/241 [===>..........................] - ETA: 0s - loss: 0.0887
75/241 [========>.....................] - ETA: 0s - loss: 0.0802
114/241 [=============>................] - ETA: 0s - loss: 0.0787
152/241 [=================>............] - ETA: 0s - loss: 0.0772
191/241 [======================>.......] - ETA: 0s - loss: 0.0726
230/241 [===========================>..] - ETA: 0s - loss: 0.0746
241/241 [==============================] - 0s 1ms/step - loss: 0.0731
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0440
37/241 [===>..........................] - ETA: 0s - loss: 0.0680
75/241 [========>.....................] - ETA: 0s - loss: 0.0558
113/241 [=============>................] - ETA: 0s - loss: 0.0587
152/241 [=================>............] - ETA: 0s - loss: 0.0629
189/241 [======================>.......] - ETA: 0s - loss: 0.0654
226/241 [===========================>..] - ETA: 0s - loss: 0.0667
241/241 [==============================] - 0s 1ms/step - loss: 0.0664
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0165
35/241 [===>..........................] - ETA: 0s - loss: 0.0706
71/241 [=======>......................] - ETA: 0s - loss: 0.0759
108/241 [============>.................] - ETA: 0s - loss: 0.0677
145/241 [=================>............] - ETA: 0s - loss: 0.0684
182/241 [=====================>........] - ETA: 0s - loss: 0.0705
220/241 [==========================>...] - ETA: 0s - loss: 0.0669
241/241 [==============================] - 0s 1ms/step - loss: 0.0688
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0099
36/241 [===>..........................] - ETA: 0s - loss: 0.0844
73/241 [========>.....................] - ETA: 0s - loss: 0.0794
110/241 [============>.................] - ETA: 0s - loss: 0.0705
148/241 [=================>............] - ETA: 0s - loss: 0.0645
186/241 [======================>.......] - ETA: 0s - loss: 0.0698
223/241 [==========================>...] - ETA: 0s - loss: 0.0681
241/241 [==============================] - 0s 1ms/step - loss: 0.0681
- -> test with GAN.predict
- GAN tn, fp: 595, 8
- GAN fn, tp: 9, 22
- GAN f1 score: 0.721
- GAN cohens kappa score: 0.707
- -> test with 'LR'
- LR tn, fp: 531, 72
- LR fn, tp: 7, 24
- LR f1 score: 0.378
- LR cohens kappa score: 0.328
- LR average precision score: 0.448
- -> test with 'RF'
- RF tn, fp: 596, 7
- RF fn, tp: 7, 24
- RF f1 score: 0.774
- RF cohens kappa score: 0.763
- -> test with 'GB'
- GB tn, fp: 589, 14
- GB fn, tp: 5, 26
- GB f1 score: 0.732
- GB cohens kappa score: 0.717
- -> test with 'KNN'
- KNN tn, fp: 582, 21
- KNN fn, tp: 6, 25
- KNN f1 score: 0.649
- KNN cohens kappa score: 0.628
- ------ Step 2/5: Slice 2/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 1:59 - loss: 0.2229
28/241 [==>...........................] - ETA: 0s - loss: 0.0764
61/241 [======>.......................] - ETA: 0s - loss: 0.0903
98/241 [===========>..................] - ETA: 0s - loss: 0.0859
131/241 [===============>..............] - ETA: 0s - loss: 0.0915
162/241 [===================>..........] - ETA: 0s - loss: 0.0916
179/241 [=====================>........] - ETA: 0s - loss: 0.0878
219/241 [==========================>...] - ETA: 0s - loss: 0.0859
241/241 [==============================] - 1s 2ms/step - loss: 0.0838
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0365
38/241 [===>..........................] - ETA: 0s - loss: 0.0867
71/241 [=======>......................] - ETA: 0s - loss: 0.0697
97/241 [===========>..................] - ETA: 0s - loss: 0.0771
113/241 [=============>................] - ETA: 0s - loss: 0.0766
151/241 [=================>............] - ETA: 0s - loss: 0.0763
188/241 [======================>.......] - ETA: 0s - loss: 0.0755
226/241 [===========================>..] - ETA: 0s - loss: 0.0785
241/241 [==============================] - 0s 2ms/step - loss: 0.0775
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0218
27/241 [==>...........................] - ETA: 0s - loss: 0.0542
41/241 [====>.........................] - ETA: 0s - loss: 0.0866
79/241 [========>.....................] - ETA: 0s - loss: 0.0846
111/241 [============>.................] - ETA: 0s - loss: 0.0836
147/241 [=================>............] - ETA: 0s - loss: 0.0851
179/241 [=====================>........] - ETA: 0s - loss: 0.0827
196/241 [=======================>......] - ETA: 0s - loss: 0.0809
219/241 [==========================>...] - ETA: 0s - loss: 0.0817
241/241 [==============================] - 0s 2ms/step - loss: 0.0798
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0048
40/241 [===>..........................] - ETA: 0s - loss: 0.0837
78/241 [========>.....................] - ETA: 0s - loss: 0.0784
113/241 [=============>................] - ETA: 0s - loss: 0.0746
135/241 [===============>..............] - ETA: 0s - loss: 0.0753
148/241 [=================>............] - ETA: 0s - loss: 0.0733
181/241 [=====================>........] - ETA: 0s - loss: 0.0705
218/241 [==========================>...] - ETA: 0s - loss: 0.0755
241/241 [==============================] - 0s 2ms/step - loss: 0.0752
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0443
35/241 [===>..........................] - ETA: 0s - loss: 0.0824
61/241 [======>.......................] - ETA: 0s - loss: 0.0710
75/241 [========>.....................] - ETA: 0s - loss: 0.0754
113/241 [=============>................] - ETA: 0s - loss: 0.0768
148/241 [=================>............] - ETA: 0s - loss: 0.0797
185/241 [======================>.......] - ETA: 0s - loss: 0.0789
220/241 [==========================>...] - ETA: 0s - loss: 0.0759
238/241 [============================>.] - ETA: 0s - loss: 0.0738
241/241 [==============================] - 0s 2ms/step - loss: 0.0740
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0429
32/241 [==>...........................] - ETA: 0s - loss: 0.0730
63/241 [======>.......................] - ETA: 0s - loss: 0.0775
93/241 [==========>...................] - ETA: 0s - loss: 0.0771
120/241 [=============>................] - ETA: 0s - loss: 0.0820
153/241 [==================>...........] - ETA: 0s - loss: 0.0821
171/241 [====================>.........] - ETA: 0s - loss: 0.0856
208/241 [========================>.....] - ETA: 0s - loss: 0.0795
241/241 [==============================] - 0s 2ms/step - loss: 0.0755
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0688
35/241 [===>..........................] - ETA: 0s - loss: 0.0708
67/241 [=======>......................] - ETA: 0s - loss: 0.0746
88/241 [=========>....................] - ETA: 0s - loss: 0.0710
106/241 [============>.................] - ETA: 0s - loss: 0.0705
144/241 [================>.............] - ETA: 0s - loss: 0.0702
183/241 [=====================>........] - ETA: 0s - loss: 0.0699
215/241 [=========================>....] - ETA: 0s - loss: 0.0704
241/241 [==============================] - 0s 2ms/step - loss: 0.0705
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1241
20/241 [=>............................] - ETA: 0s - loss: 0.0699
44/241 [====>.........................] - ETA: 0s - loss: 0.0777
79/241 [========>.....................] - ETA: 0s - loss: 0.0775
116/241 [=============>................] - ETA: 0s - loss: 0.0705
151/241 [=================>............] - ETA: 0s - loss: 0.0651
185/241 [======================>.......] - ETA: 0s - loss: 0.0680
197/241 [=======================>......] - ETA: 0s - loss: 0.0666
225/241 [===========================>..] - ETA: 0s - loss: 0.0689
241/241 [==============================] - 0s 2ms/step - loss: 0.0705
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0381
38/241 [===>..........................] - ETA: 0s - loss: 0.0692
75/241 [========>.....................] - ETA: 0s - loss: 0.0667
108/241 [============>.................] - ETA: 0s - loss: 0.0699
134/241 [===============>..............] - ETA: 0s - loss: 0.0697
147/241 [=================>............] - ETA: 0s - loss: 0.0709
184/241 [=====================>........] - ETA: 0s - loss: 0.0722
223/241 [==========================>...] - ETA: 0s - loss: 0.0723
241/241 [==============================] - 0s 2ms/step - loss: 0.0718
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0376
36/241 [===>..........................] - ETA: 0s - loss: 0.0694
68/241 [=======>......................] - ETA: 0s - loss: 0.0689
76/241 [========>.....................] - ETA: 0s - loss: 0.0726
109/241 [============>.................] - ETA: 0s - loss: 0.0642
148/241 [=================>............] - ETA: 0s - loss: 0.0608
186/241 [======================>.......] - ETA: 0s - loss: 0.0659
219/241 [==========================>...] - ETA: 0s - loss: 0.0641
239/241 [============================>.] - ETA: 0s - loss: 0.0638
241/241 [==============================] - 0s 2ms/step - loss: 0.0635
- -> test with GAN.predict
- GAN tn, fp: 581, 22
- GAN fn, tp: 8, 23
- GAN f1 score: 0.605
- GAN cohens kappa score: 0.581
- -> test with 'LR'
- LR tn, fp: 537, 66
- LR fn, tp: 6, 25
- LR f1 score: 0.410
- LR cohens kappa score: 0.363
- LR average precision score: 0.433
- -> test with 'RF'
- RF tn, fp: 598, 5
- RF fn, tp: 9, 22
- RF f1 score: 0.759
- RF cohens kappa score: 0.747
- -> test with 'GB'
- GB tn, fp: 595, 8
- GB fn, tp: 3, 28
- GB f1 score: 0.836
- GB cohens kappa score: 0.827
- -> test with 'KNN'
- KNN tn, fp: 574, 29
- KNN fn, tp: 4, 27
- KNN f1 score: 0.621
- KNN cohens kappa score: 0.595
- ------ Step 2/5: Slice 3/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 41s - loss: 0.1161
40/241 [===>..........................] - ETA: 0s - loss: 0.1299
80/241 [========>.....................] - ETA: 0s - loss: 0.1109
120/241 [=============>................] - ETA: 0s - loss: 0.1108
158/241 [==================>...........] - ETA: 0s - loss: 0.1083
198/241 [=======================>......] - ETA: 0s - loss: 0.1060
237/241 [============================>.] - ETA: 0s - loss: 0.1034
241/241 [==============================] - 0s 1ms/step - loss: 0.1022
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1377
35/241 [===>..........................] - ETA: 0s - loss: 0.0851
70/241 [=======>......................] - ETA: 0s - loss: 0.0927
103/241 [===========>..................] - ETA: 0s - loss: 0.0962
134/241 [===============>..............] - ETA: 0s - loss: 0.0939
166/241 [===================>..........] - ETA: 0s - loss: 0.0932
205/241 [========================>.....] - ETA: 0s - loss: 0.0924
241/241 [==============================] - 0s 1ms/step - loss: 0.0960
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0578
38/241 [===>..........................] - ETA: 0s - loss: 0.0940
77/241 [========>.....................] - ETA: 0s - loss: 0.0889
114/241 [=============>................] - ETA: 0s - loss: 0.0940
153/241 [==================>...........] - ETA: 0s - loss: 0.0967
192/241 [======================>.......] - ETA: 0s - loss: 0.0939
232/241 [===========================>..] - ETA: 0s - loss: 0.0923
241/241 [==============================] - 0s 1ms/step - loss: 0.0929
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0363
40/241 [===>..........................] - ETA: 0s - loss: 0.0804
80/241 [========>.....................] - ETA: 0s - loss: 0.0971
120/241 [=============>................] - ETA: 0s - loss: 0.0975
159/241 [==================>...........] - ETA: 0s - loss: 0.0916
197/241 [=======================>......] - ETA: 0s - loss: 0.0900
235/241 [============================>.] - ETA: 0s - loss: 0.0890
241/241 [==============================] - 0s 1ms/step - loss: 0.0894
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1672
36/241 [===>..........................] - ETA: 0s - loss: 0.1152
72/241 [=======>......................] - ETA: 0s - loss: 0.1157
111/241 [============>.................] - ETA: 0s - loss: 0.1046
150/241 [=================>............] - ETA: 0s - loss: 0.0984
187/241 [======================>.......] - ETA: 0s - loss: 0.0901
225/241 [===========================>..] - ETA: 0s - loss: 0.0885
241/241 [==============================] - 0s 1ms/step - loss: 0.0938
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0203
41/241 [====>.........................] - ETA: 0s - loss: 0.0961
79/241 [========>.....................] - ETA: 0s - loss: 0.0835
117/241 [=============>................] - ETA: 0s - loss: 0.0861
154/241 [==================>...........] - ETA: 0s - loss: 0.0845
187/241 [======================>.......] - ETA: 0s - loss: 0.0881
223/241 [==========================>...] - ETA: 0s - loss: 0.0856
241/241 [==============================] - 0s 1ms/step - loss: 0.0851
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0055
39/241 [===>..........................] - ETA: 0s - loss: 0.0900
72/241 [=======>......................] - ETA: 0s - loss: 0.0946
110/241 [============>.................] - ETA: 0s - loss: 0.0977
149/241 [=================>............] - ETA: 0s - loss: 0.0918
186/241 [======================>.......] - ETA: 0s - loss: 0.0881
226/241 [===========================>..] - ETA: 0s - loss: 0.0876
241/241 [==============================] - 0s 1ms/step - loss: 0.0874
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0434
38/241 [===>..........................] - ETA: 0s - loss: 0.0899
76/241 [========>.....................] - ETA: 0s - loss: 0.0926
111/241 [============>.................] - ETA: 0s - loss: 0.0846
149/241 [=================>............] - ETA: 0s - loss: 0.0787
187/241 [======================>.......] - ETA: 0s - loss: 0.0807
225/241 [===========================>..] - ETA: 0s - loss: 0.0819
241/241 [==============================] - 0s 1ms/step - loss: 0.0823
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0523
33/241 [===>..........................] - ETA: 0s - loss: 0.1050
67/241 [=======>......................] - ETA: 0s - loss: 0.0893
105/241 [============>.................] - ETA: 0s - loss: 0.0791
143/241 [================>.............] - ETA: 0s - loss: 0.0745
181/241 [=====================>........] - ETA: 0s - loss: 0.0775
219/241 [==========================>...] - ETA: 0s - loss: 0.0833
241/241 [==============================] - 0s 1ms/step - loss: 0.0816
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1756
40/241 [===>..........................] - ETA: 0s - loss: 0.0954
79/241 [========>.....................] - ETA: 0s - loss: 0.0884
117/241 [=============>................] - ETA: 0s - loss: 0.0909
156/241 [==================>...........] - ETA: 0s - loss: 0.0857
193/241 [=======================>......] - ETA: 0s - loss: 0.0812
229/241 [===========================>..] - ETA: 0s - loss: 0.0793
241/241 [==============================] - 0s 1ms/step - loss: 0.0798
- -> test with GAN.predict
- GAN tn, fp: 571, 32
- GAN fn, tp: 7, 24
- GAN f1 score: 0.552
- GAN cohens kappa score: 0.522
- -> test with 'LR'
- LR tn, fp: 509, 94
- LR fn, tp: 1, 30
- LR f1 score: 0.387
- LR cohens kappa score: 0.335
- LR average precision score: 0.570
- -> test with 'RF'
- RF tn, fp: 598, 5
- RF fn, tp: 11, 20
- RF f1 score: 0.714
- RF cohens kappa score: 0.701
- -> test with 'GB'
- GB tn, fp: 596, 7
- GB fn, tp: 6, 25
- GB f1 score: 0.794
- GB cohens kappa score: 0.783
- -> test with 'KNN'
- KNN tn, fp: 571, 32
- KNN fn, tp: 7, 24
- KNN f1 score: 0.552
- KNN cohens kappa score: 0.522
- ------ Step 2/5: Slice 4/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 47s - loss: 0.0539
39/241 [===>..........................] - ETA: 0s - loss: 0.0857
76/241 [========>.....................] - ETA: 0s - loss: 0.0856
108/241 [============>.................] - ETA: 0s - loss: 0.0794
140/241 [================>.............] - ETA: 0s - loss: 0.0794
172/241 [====================>.........] - ETA: 0s - loss: 0.0756
211/241 [=========================>....] - ETA: 0s - loss: 0.0740
241/241 [==============================] - 1s 1ms/step - loss: 0.0809
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1266
40/241 [===>..........................] - ETA: 0s - loss: 0.0856
79/241 [========>.....................] - ETA: 0s - loss: 0.0788
116/241 [=============>................] - ETA: 0s - loss: 0.0772
154/241 [==================>...........] - ETA: 0s - loss: 0.0752
193/241 [=======================>......] - ETA: 0s - loss: 0.0741
227/241 [===========================>..] - ETA: 0s - loss: 0.0714
241/241 [==============================] - 0s 1ms/step - loss: 0.0712
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1012
37/241 [===>..........................] - ETA: 0s - loss: 0.0968
72/241 [=======>......................] - ETA: 0s - loss: 0.0823
110/241 [============>.................] - ETA: 0s - loss: 0.0748
149/241 [=================>............] - ETA: 0s - loss: 0.0742
187/241 [======================>.......] - ETA: 0s - loss: 0.0719
224/241 [==========================>...] - ETA: 0s - loss: 0.0703
241/241 [==============================] - 0s 1ms/step - loss: 0.0706
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1465
38/241 [===>..........................] - ETA: 0s - loss: 0.0646
78/241 [========>.....................] - ETA: 0s - loss: 0.0645
117/241 [=============>................] - ETA: 0s - loss: 0.0651
157/241 [==================>...........] - ETA: 0s - loss: 0.0734
195/241 [=======================>......] - ETA: 0s - loss: 0.0687
235/241 [============================>.] - ETA: 0s - loss: 0.0667
241/241 [==============================] - 0s 1ms/step - loss: 0.0669
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1106
38/241 [===>..........................] - ETA: 0s - loss: 0.0822
74/241 [========>.....................] - ETA: 0s - loss: 0.0874
113/241 [=============>................] - ETA: 0s - loss: 0.0734
148/241 [=================>............] - ETA: 0s - loss: 0.0683
184/241 [=====================>........] - ETA: 0s - loss: 0.0682
223/241 [==========================>...] - ETA: 0s - loss: 0.0624
241/241 [==============================] - 0s 1ms/step - loss: 0.0637
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0197
39/241 [===>..........................] - ETA: 0s - loss: 0.0601
75/241 [========>.....................] - ETA: 0s - loss: 0.0591
113/241 [=============>................] - ETA: 0s - loss: 0.0609
148/241 [=================>............] - ETA: 0s - loss: 0.0662
187/241 [======================>.......] - ETA: 0s - loss: 0.0638
226/241 [===========================>..] - ETA: 0s - loss: 0.0630
241/241 [==============================] - 0s 1ms/step - loss: 0.0650
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0311
35/241 [===>..........................] - ETA: 0s - loss: 0.0638
69/241 [=======>......................] - ETA: 0s - loss: 0.0618
107/241 [============>.................] - ETA: 0s - loss: 0.0590
146/241 [=================>............] - ETA: 0s - loss: 0.0594
185/241 [======================>.......] - ETA: 0s - loss: 0.0624
220/241 [==========================>...] - ETA: 0s - loss: 0.0620
241/241 [==============================] - 0s 1ms/step - loss: 0.0630
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0337
32/241 [==>...........................] - ETA: 0s - loss: 0.0756
64/241 [======>.......................] - ETA: 0s - loss: 0.0629
103/241 [===========>..................] - ETA: 0s - loss: 0.0542
143/241 [================>.............] - ETA: 0s - loss: 0.0591
181/241 [=====================>........] - ETA: 0s - loss: 0.0614
219/241 [==========================>...] - ETA: 0s - loss: 0.0648
241/241 [==============================] - 0s 1ms/step - loss: 0.0628
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0663
38/241 [===>..........................] - ETA: 0s - loss: 0.0480
78/241 [========>.....................] - ETA: 0s - loss: 0.0531
115/241 [=============>................] - ETA: 0s - loss: 0.0607
152/241 [=================>............] - ETA: 0s - loss: 0.0586
190/241 [======================>.......] - ETA: 0s - loss: 0.0618
227/241 [===========================>..] - ETA: 0s - loss: 0.0706
241/241 [==============================] - 0s 1ms/step - loss: 0.0693
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0767
38/241 [===>..........................] - ETA: 0s - loss: 0.0556
68/241 [=======>......................] - ETA: 0s - loss: 0.0606
101/241 [===========>..................] - ETA: 0s - loss: 0.0570
139/241 [================>.............] - ETA: 0s - loss: 0.0559
176/241 [====================>.........] - ETA: 0s - loss: 0.0571
210/241 [=========================>....] - ETA: 0s - loss: 0.0561
241/241 [==============================] - 0s 1ms/step - loss: 0.0539
- -> test with GAN.predict
- GAN tn, fp: 582, 21
- GAN fn, tp: 6, 25
- GAN f1 score: 0.649
- GAN cohens kappa score: 0.628
- -> test with 'LR'
- LR tn, fp: 510, 93
- LR fn, tp: 6, 25
- LR f1 score: 0.336
- LR cohens kappa score: 0.280
- LR average precision score: 0.275
- -> test with 'RF'
- RF tn, fp: 597, 6
- RF fn, tp: 7, 24
- RF f1 score: 0.787
- RF cohens kappa score: 0.776
- -> test with 'GB'
- GB tn, fp: 589, 14
- GB fn, tp: 5, 26
- GB f1 score: 0.732
- GB cohens kappa score: 0.717
- -> test with 'KNN'
- KNN tn, fp: 573, 30
- KNN fn, tp: 8, 23
- KNN f1 score: 0.548
- KNN cohens kappa score: 0.518
- ------ Step 2/5: Slice 5/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2288 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/242 [..............................] - ETA: 46s - loss: 0.0118
39/242 [===>..........................] - ETA: 0s - loss: 0.1133
76/242 [========>.....................] - ETA: 0s - loss: 0.1167
116/242 [=============>................] - ETA: 0s - loss: 0.1139
153/242 [=================>............] - ETA: 0s - loss: 0.1129
191/242 [======================>.......] - ETA: 0s - loss: 0.1094
221/242 [==========================>...] - ETA: 0s - loss: 0.1069
242/242 [==============================] - 1s 1ms/step - loss: 0.1048
- Epoch 2/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0743
33/242 [===>..........................] - ETA: 0s - loss: 0.1029
70/242 [=======>......................] - ETA: 0s - loss: 0.0882
109/242 [============>.................] - ETA: 0s - loss: 0.0878
146/242 [=================>............] - ETA: 0s - loss: 0.0987
180/242 [=====================>........] - ETA: 0s - loss: 0.1015
217/242 [=========================>....] - ETA: 0s - loss: 0.0955
242/242 [==============================] - 0s 1ms/step - loss: 0.0958
- Epoch 3/10
-
1/242 [..............................] - ETA: 0s - loss: 0.2267
35/242 [===>..........................] - ETA: 0s - loss: 0.0872
71/242 [=======>......................] - ETA: 0s - loss: 0.0996
110/242 [============>.................] - ETA: 0s - loss: 0.0891
144/242 [================>.............] - ETA: 0s - loss: 0.0957
183/242 [=====================>........] - ETA: 0s - loss: 0.0942
215/242 [=========================>....] - ETA: 0s - loss: 0.0957
242/242 [==============================] - 0s 1ms/step - loss: 0.0932
- Epoch 4/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0443
40/242 [===>..........................] - ETA: 0s - loss: 0.0882
78/242 [========>.....................] - ETA: 0s - loss: 0.0844
113/242 [=============>................] - ETA: 0s - loss: 0.0897
152/242 [=================>............] - ETA: 0s - loss: 0.0901
191/242 [======================>.......] - ETA: 0s - loss: 0.0883
227/242 [===========================>..] - ETA: 0s - loss: 0.0910
242/242 [==============================] - 0s 1ms/step - loss: 0.0903
- Epoch 5/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0163
39/242 [===>..........................] - ETA: 0s - loss: 0.0772
77/242 [========>.....................] - ETA: 0s - loss: 0.0801
111/242 [============>.................] - ETA: 0s - loss: 0.0848
148/242 [=================>............] - ETA: 0s - loss: 0.0863
184/242 [=====================>........] - ETA: 0s - loss: 0.0868
222/242 [==========================>...] - ETA: 0s - loss: 0.0869
242/242 [==============================] - 0s 1ms/step - loss: 0.0890
- Epoch 6/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0566
39/242 [===>..........................] - ETA: 0s - loss: 0.0919
74/242 [========>.....................] - ETA: 0s - loss: 0.0833
105/242 [============>.................] - ETA: 0s - loss: 0.0816
142/242 [================>.............] - ETA: 0s - loss: 0.0882
181/242 [=====================>........] - ETA: 0s - loss: 0.0885
219/242 [==========================>...] - ETA: 0s - loss: 0.0902
242/242 [==============================] - 0s 1ms/step - loss: 0.0903
- Epoch 7/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0440
40/242 [===>..........................] - ETA: 0s - loss: 0.0848
79/242 [========>.....................] - ETA: 0s - loss: 0.0815
112/242 [============>.................] - ETA: 0s - loss: 0.0853
149/242 [=================>............] - ETA: 0s - loss: 0.0842
187/242 [======================>.......] - ETA: 0s - loss: 0.0848
226/242 [===========================>..] - ETA: 0s - loss: 0.0820
242/242 [==============================] - 0s 1ms/step - loss: 0.0838
- Epoch 8/10
-
1/242 [..............................] - ETA: 0s - loss: 0.2444
36/242 [===>..........................] - ETA: 0s - loss: 0.0878
68/242 [=======>......................] - ETA: 0s - loss: 0.0974
101/242 [===========>..................] - ETA: 0s - loss: 0.0894
135/242 [===============>..............] - ETA: 0s - loss: 0.0949
173/242 [====================>.........] - ETA: 0s - loss: 0.0882
212/242 [=========================>....] - ETA: 0s - loss: 0.0901
242/242 [==============================] - 0s 1ms/step - loss: 0.0893
- Epoch 9/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0220
39/242 [===>..........................] - ETA: 0s - loss: 0.1167
72/242 [=======>......................] - ETA: 0s - loss: 0.1090
109/242 [============>.................] - ETA: 0s - loss: 0.1066
146/242 [=================>............] - ETA: 0s - loss: 0.0998
181/242 [=====================>........] - ETA: 0s - loss: 0.0962
212/242 [=========================>....] - ETA: 0s - loss: 0.0916
242/242 [==============================] - 0s 1ms/step - loss: 0.0896
- Epoch 10/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0373
35/242 [===>..........................] - ETA: 0s - loss: 0.0804
74/242 [========>.....................] - ETA: 0s - loss: 0.0828
108/242 [============>.................] - ETA: 0s - loss: 0.0844
145/242 [================>.............] - ETA: 0s - loss: 0.0834
182/242 [=====================>........] - ETA: 0s - loss: 0.0805
217/242 [=========================>....] - ETA: 0s - loss: 0.0783
242/242 [==============================] - 0s 1ms/step - loss: 0.0806
- -> test with GAN.predict
- GAN tn, fp: 574, 26
- GAN fn, tp: 1, 26
- GAN f1 score: 0.658
- GAN cohens kappa score: 0.638
- -> test with 'LR'
- LR tn, fp: 496, 104
- LR fn, tp: 1, 26
- LR f1 score: 0.331
- LR cohens kappa score: 0.280
- LR average precision score: 0.485
- -> test with 'RF'
- RF tn, fp: 595, 5
- RF fn, tp: 4, 23
- RF f1 score: 0.836
- RF cohens kappa score: 0.829
- -> test with 'GB'
- GB tn, fp: 592, 8
- GB fn, tp: 2, 25
- GB f1 score: 0.833
- GB cohens kappa score: 0.825
- -> test with 'KNN'
- KNN tn, fp: 564, 36
- KNN fn, tp: 5, 22
- KNN f1 score: 0.518
- KNN cohens kappa score: 0.488
- ====== Step 3/5 =======
- -> Shuffling data
- -> Spliting data to slices
- ------ Step 3/5: Slice 1/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 47s - loss: 0.0951
39/241 [===>..........................] - ETA: 0s - loss: 0.0843
77/241 [========>.....................] - ETA: 0s - loss: 0.0846
117/241 [=============>................] - ETA: 0s - loss: 0.0935
155/241 [==================>...........] - ETA: 0s - loss: 0.0930
193/241 [=======================>......] - ETA: 0s - loss: 0.0945
229/241 [===========================>..] - ETA: 0s - loss: 0.0949
241/241 [==============================] - 1s 1ms/step - loss: 0.0941
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0119
32/241 [==>...........................] - ETA: 0s - loss: 0.1036
58/241 [======>.......................] - ETA: 0s - loss: 0.1074
85/241 [=========>....................] - ETA: 0s - loss: 0.0952
112/241 [============>.................] - ETA: 0s - loss: 0.0932
147/241 [=================>............] - ETA: 0s - loss: 0.0918
184/241 [=====================>........] - ETA: 0s - loss: 0.0899
221/241 [==========================>...] - ETA: 0s - loss: 0.0913
241/241 [==============================] - 0s 2ms/step - loss: 0.0895
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0145
40/241 [===>..........................] - ETA: 0s - loss: 0.0881
76/241 [========>.....................] - ETA: 0s - loss: 0.0960
113/241 [=============>................] - ETA: 0s - loss: 0.0879
144/241 [================>.............] - ETA: 0s - loss: 0.0910
170/241 [====================>.........] - ETA: 0s - loss: 0.0942
194/241 [=======================>......] - ETA: 0s - loss: 0.0907
220/241 [==========================>...] - ETA: 0s - loss: 0.0899
241/241 [==============================] - 0s 2ms/step - loss: 0.0878
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2589
26/241 [==>...........................] - ETA: 0s - loss: 0.1049
51/241 [=====>........................] - ETA: 0s - loss: 0.0908
77/241 [========>.....................] - ETA: 0s - loss: 0.0877
105/241 [============>.................] - ETA: 0s - loss: 0.0915
136/241 [===============>..............] - ETA: 0s - loss: 0.0871
164/241 [===================>..........] - ETA: 0s - loss: 0.0860
190/241 [======================>.......] - ETA: 0s - loss: 0.0832
218/241 [==========================>...] - ETA: 0s - loss: 0.0844
241/241 [==============================] - 0s 2ms/step - loss: 0.0829
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1614
35/241 [===>..........................] - ETA: 0s - loss: 0.0828
72/241 [=======>......................] - ETA: 0s - loss: 0.0850
110/241 [============>.................] - ETA: 0s - loss: 0.0830
135/241 [===============>..............] - ETA: 0s - loss: 0.0817
159/241 [==================>...........] - ETA: 0s - loss: 0.0826
186/241 [======================>.......] - ETA: 0s - loss: 0.0824
211/241 [=========================>....] - ETA: 0s - loss: 0.0817
238/241 [============================>.] - ETA: 0s - loss: 0.0866
241/241 [==============================] - 0s 2ms/step - loss: 0.0866
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0552
32/241 [==>...........................] - ETA: 0s - loss: 0.0870
59/241 [======>.......................] - ETA: 0s - loss: 0.0985
85/241 [=========>....................] - ETA: 0s - loss: 0.0914
108/241 [============>.................] - ETA: 0s - loss: 0.0892
135/241 [===============>..............] - ETA: 0s - loss: 0.0930
168/241 [===================>..........] - ETA: 0s - loss: 0.0893
206/241 [========================>.....] - ETA: 0s - loss: 0.0896
241/241 [==============================] - 0s 2ms/step - loss: 0.0852
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0679
37/241 [===>..........................] - ETA: 0s - loss: 0.0774
74/241 [========>.....................] - ETA: 0s - loss: 0.0737
110/241 [============>.................] - ETA: 0s - loss: 0.0784
146/241 [=================>............] - ETA: 0s - loss: 0.0794
183/241 [=====================>........] - ETA: 0s - loss: 0.0812
218/241 [==========================>...] - ETA: 0s - loss: 0.0784
241/241 [==============================] - 0s 1ms/step - loss: 0.0776
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0112
37/241 [===>..........................] - ETA: 0s - loss: 0.0863
73/241 [========>.....................] - ETA: 0s - loss: 0.0742
111/241 [============>.................] - ETA: 0s - loss: 0.0759
151/241 [=================>............] - ETA: 0s - loss: 0.0754
189/241 [======================>.......] - ETA: 0s - loss: 0.0737
226/241 [===========================>..] - ETA: 0s - loss: 0.0741
241/241 [==============================] - 0s 1ms/step - loss: 0.0749
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0136
37/241 [===>..........................] - ETA: 0s - loss: 0.0798
71/241 [=======>......................] - ETA: 0s - loss: 0.0731
110/241 [============>.................] - ETA: 0s - loss: 0.0722
148/241 [=================>............] - ETA: 0s - loss: 0.0749
187/241 [======================>.......] - ETA: 0s - loss: 0.0799
226/241 [===========================>..] - ETA: 0s - loss: 0.0802
241/241 [==============================] - 0s 1ms/step - loss: 0.0788
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0247
39/241 [===>..........................] - ETA: 0s - loss: 0.0854
78/241 [========>.....................] - ETA: 0s - loss: 0.0758
112/241 [============>.................] - ETA: 0s - loss: 0.0722
150/241 [=================>............] - ETA: 0s - loss: 0.0691
188/241 [======================>.......] - ETA: 0s - loss: 0.0715
224/241 [==========================>...] - ETA: 0s - loss: 0.0734
241/241 [==============================] - 0s 1ms/step - loss: 0.0732
- -> test with GAN.predict
- GAN tn, fp: 580, 23
- GAN fn, tp: 6, 25
- GAN f1 score: 0.633
- GAN cohens kappa score: 0.610
- -> test with 'LR'
- LR tn, fp: 511, 92
- LR fn, tp: 5, 26
- LR f1 score: 0.349
- LR cohens kappa score: 0.294
- LR average precision score: 0.478
- -> test with 'RF'
- RF tn, fp: 601, 2
- RF fn, tp: 12, 19
- RF f1 score: 0.731
- RF cohens kappa score: 0.720
- -> test with 'GB'
- GB tn, fp: 601, 2
- GB fn, tp: 6, 25
- GB f1 score: 0.862
- GB cohens kappa score: 0.855
- -> test with 'KNN'
- KNN tn, fp: 574, 29
- KNN fn, tp: 9, 22
- KNN f1 score: 0.537
- KNN cohens kappa score: 0.507
- ------ Step 3/5: Slice 2/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 1:14 - loss: 0.1021
17/241 [=>............................] - ETA: 0s - loss: 0.1003
29/241 [==>...........................] - ETA: 0s - loss: 0.1082
37/241 [===>..........................] - ETA: 0s - loss: 0.0995
46/241 [====>.........................] - ETA: 0s - loss: 0.0972
55/241 [=====>........................] - ETA: 0s - loss: 0.0952
69/241 [=======>......................] - ETA: 0s - loss: 0.0888
83/241 [=========>....................] - ETA: 0s - loss: 0.0858
92/241 [==========>...................] - ETA: 0s - loss: 0.0798
103/241 [===========>..................] - ETA: 0s - loss: 0.0810
115/241 [=============>................] - ETA: 0s - loss: 0.0799
127/241 [==============>...............] - ETA: 0s - loss: 0.0816
140/241 [================>.............] - ETA: 0s - loss: 0.0814
152/241 [=================>............] - ETA: 0s - loss: 0.0829
165/241 [===================>..........] - ETA: 0s - loss: 0.0828
178/241 [=====================>........] - ETA: 0s - loss: 0.0812
194/241 [=======================>......] - ETA: 0s - loss: 0.0821
210/241 [=========================>....] - ETA: 0s - loss: 0.0825
220/241 [==========================>...] - ETA: 0s - loss: 0.0812
234/241 [============================>.] - ETA: 0s - loss: 0.0813
241/241 [==============================] - 1s 4ms/step - loss: 0.0810
- Epoch 2/10
-
1/241 [..............................] - ETA: 1s - loss: 0.0377
10/241 [>.............................] - ETA: 1s - loss: 0.0708
19/241 [=>............................] - ETA: 1s - loss: 0.0711
34/241 [===>..........................] - ETA: 1s - loss: 0.0823
51/241 [=====>........................] - ETA: 0s - loss: 0.0819
71/241 [=======>......................] - ETA: 0s - loss: 0.0813
94/241 [==========>...................] - ETA: 0s - loss: 0.0841
114/241 [=============>................] - ETA: 0s - loss: 0.0801
130/241 [===============>..............] - ETA: 0s - loss: 0.0801
144/241 [================>.............] - ETA: 0s - loss: 0.0815
154/241 [==================>...........] - ETA: 0s - loss: 0.0813
167/241 [===================>..........] - ETA: 0s - loss: 0.0808
182/241 [=====================>........] - ETA: 0s - loss: 0.0768
198/241 [=======================>......] - ETA: 0s - loss: 0.0780
213/241 [=========================>....] - ETA: 0s - loss: 0.0757
233/241 [============================>.] - ETA: 0s - loss: 0.0758
241/241 [==============================] - 1s 3ms/step - loss: 0.0751
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0535
17/241 [=>............................] - ETA: 0s - loss: 0.0818
28/241 [==>...........................] - ETA: 0s - loss: 0.0860
38/241 [===>..........................] - ETA: 1s - loss: 0.0877
57/241 [======>.......................] - ETA: 0s - loss: 0.0816
80/241 [========>.....................] - ETA: 0s - loss: 0.0720
95/241 [==========>...................] - ETA: 0s - loss: 0.0758
113/241 [=============>................] - ETA: 0s - loss: 0.0800
130/241 [===============>..............] - ETA: 0s - loss: 0.0798
144/241 [================>.............] - ETA: 0s - loss: 0.0797
151/241 [=================>............] - ETA: 0s - loss: 0.0794
161/241 [===================>..........] - ETA: 0s - loss: 0.0791
179/241 [=====================>........] - ETA: 0s - loss: 0.0769
196/241 [=======================>......] - ETA: 0s - loss: 0.0765
212/241 [=========================>....] - ETA: 0s - loss: 0.0748
228/241 [===========================>..] - ETA: 0s - loss: 0.0742
241/241 [==============================] - 1s 4ms/step - loss: 0.0730
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0352
18/241 [=>............................] - ETA: 0s - loss: 0.0827
31/241 [==>...........................] - ETA: 0s - loss: 0.0781
47/241 [====>.........................] - ETA: 0s - loss: 0.0716
64/241 [======>.......................] - ETA: 0s - loss: 0.0866
80/241 [========>.....................] - ETA: 0s - loss: 0.0822
88/241 [=========>....................] - ETA: 0s - loss: 0.0810
117/241 [=============>................] - ETA: 0s - loss: 0.0823
144/241 [================>.............] - ETA: 0s - loss: 0.0776
174/241 [====================>.........] - ETA: 0s - loss: 0.0773
201/241 [========================>.....] - ETA: 0s - loss: 0.0779
225/241 [===========================>..] - ETA: 0s - loss: 0.0777
230/241 [===========================>..] - ETA: 0s - loss: 0.0770
241/241 [==============================] - 1s 3ms/step - loss: 0.0758
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0637
26/241 [==>...........................] - ETA: 0s - loss: 0.0472
52/241 [=====>........................] - ETA: 0s - loss: 0.0575
83/241 [=========>....................] - ETA: 0s - loss: 0.0603
113/241 [=============>................] - ETA: 0s - loss: 0.0704
142/241 [================>.............] - ETA: 0s - loss: 0.0725
161/241 [===================>..........] - ETA: 0s - loss: 0.0718
193/241 [=======================>......] - ETA: 0s - loss: 0.0728
221/241 [==========================>...] - ETA: 0s - loss: 0.0727
241/241 [==============================] - 0s 2ms/step - loss: 0.0741
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0081
31/241 [==>...........................] - ETA: 0s - loss: 0.0651
48/241 [====>.........................] - ETA: 0s - loss: 0.0757
61/241 [======>.......................] - ETA: 0s - loss: 0.0778
91/241 [==========>...................] - ETA: 0s - loss: 0.0827
121/241 [==============>...............] - ETA: 0s - loss: 0.0816
149/241 [=================>............] - ETA: 0s - loss: 0.0753
175/241 [====================>.........] - ETA: 0s - loss: 0.0742
184/241 [=====================>........] - ETA: 0s - loss: 0.0736
203/241 [========================>.....] - ETA: 0s - loss: 0.0728
235/241 [============================>.] - ETA: 0s - loss: 0.0730
241/241 [==============================] - 1s 2ms/step - loss: 0.0735
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0470
37/241 [===>..........................] - ETA: 0s - loss: 0.0704
71/241 [=======>......................] - ETA: 0s - loss: 0.0740
96/241 [==========>...................] - ETA: 0s - loss: 0.0679
105/241 [============>.................] - ETA: 0s - loss: 0.0688
136/241 [===============>..............] - ETA: 0s - loss: 0.0714
163/241 [===================>..........] - ETA: 0s - loss: 0.0734
192/241 [======================>.......] - ETA: 0s - loss: 0.0754
219/241 [==========================>...] - ETA: 0s - loss: 0.0730
241/241 [==============================] - 0s 2ms/step - loss: 0.0775
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1126
9/241 [>.............................] - ETA: 1s - loss: 0.0493
30/241 [==>...........................] - ETA: 0s - loss: 0.0755
60/241 [======>.......................] - ETA: 0s - loss: 0.0716
91/241 [==========>...................] - ETA: 0s - loss: 0.0664
114/241 [=============>................] - ETA: 0s - loss: 0.0637
137/241 [================>.............] - ETA: 0s - loss: 0.0639
147/241 [=================>............] - ETA: 0s - loss: 0.0647
172/241 [====================>.........] - ETA: 0s - loss: 0.0693
205/241 [========================>.....] - ETA: 0s - loss: 0.0692
239/241 [============================>.] - ETA: 0s - loss: 0.0697
241/241 [==============================] - 1s 2ms/step - loss: 0.0706
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0149
33/241 [===>..........................] - ETA: 0s - loss: 0.0694
61/241 [======>.......................] - ETA: 0s - loss: 0.0579
71/241 [=======>......................] - ETA: 0s - loss: 0.0583
106/241 [============>.................] - ETA: 0s - loss: 0.0567
143/241 [================>.............] - ETA: 0s - loss: 0.0554
177/241 [=====================>........] - ETA: 0s - loss: 0.0621
206/241 [========================>.....] - ETA: 0s - loss: 0.0645
228/241 [===========================>..] - ETA: 0s - loss: 0.0645
241/241 [==============================] - 0s 2ms/step - loss: 0.0659
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0223
34/241 [===>..........................] - ETA: 0s - loss: 0.0664
68/241 [=======>......................] - ETA: 0s - loss: 0.0686
101/241 [===========>..................] - ETA: 0s - loss: 0.0682
132/241 [===============>..............] - ETA: 0s - loss: 0.0661
139/241 [================>.............] - ETA: 0s - loss: 0.0684
168/241 [===================>..........] - ETA: 0s - loss: 0.0637
204/241 [========================>.....] - ETA: 0s - loss: 0.0673
238/241 [============================>.] - ETA: 0s - loss: 0.0702
241/241 [==============================] - 0s 2ms/step - loss: 0.0701
- -> test with GAN.predict
- GAN tn, fp: 572, 31
- GAN fn, tp: 4, 27
- GAN f1 score: 0.607
- GAN cohens kappa score: 0.580
- -> test with 'LR'
- LR tn, fp: 530, 73
- LR fn, tp: 10, 21
- LR f1 score: 0.336
- LR cohens kappa score: 0.283
- LR average precision score: 0.287
- -> test with 'RF'
- RF tn, fp: 595, 8
- RF fn, tp: 4, 27
- RF f1 score: 0.818
- RF cohens kappa score: 0.808
- -> test with 'GB'
- GB tn, fp: 590, 13
- GB fn, tp: 3, 28
- GB f1 score: 0.778
- GB cohens kappa score: 0.765
- -> test with 'KNN'
- KNN tn, fp: 576, 27
- KNN fn, tp: 6, 25
- KNN f1 score: 0.602
- KNN cohens kappa score: 0.576
- ------ Step 3/5: Slice 3/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 56s - loss: 0.0147
37/241 [===>..........................] - ETA: 0s - loss: 0.0844
67/241 [=======>......................] - ETA: 0s - loss: 0.0887
87/241 [=========>....................] - ETA: 0s - loss: 0.0865
100/241 [===========>..................] - ETA: 0s - loss: 0.0844
129/241 [===============>..............] - ETA: 0s - loss: 0.0863
157/241 [==================>...........] - ETA: 0s - loss: 0.0875
187/241 [======================>.......] - ETA: 0s - loss: 0.0875
217/241 [==========================>...] - ETA: 0s - loss: 0.0870
241/241 [==============================] - 1s 2ms/step - loss: 0.0869
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0885
8/241 [..............................] - ETA: 1s - loss: 0.0749
35/241 [===>..........................] - ETA: 0s - loss: 0.0725
68/241 [=======>......................] - ETA: 0s - loss: 0.0763
99/241 [===========>..................] - ETA: 0s - loss: 0.0719
130/241 [===============>..............] - ETA: 0s - loss: 0.0751
165/241 [===================>..........] - ETA: 0s - loss: 0.0750
173/241 [====================>.........] - ETA: 0s - loss: 0.0747
203/241 [========================>.....] - ETA: 0s - loss: 0.0844
238/241 [============================>.] - ETA: 0s - loss: 0.0868
241/241 [==============================] - 0s 2ms/step - loss: 0.0866
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1403
32/241 [==>...........................] - ETA: 0s - loss: 0.0865
63/241 [======>.......................] - ETA: 0s - loss: 0.0790
88/241 [=========>....................] - ETA: 0s - loss: 0.0883
93/241 [==========>...................] - ETA: 0s - loss: 0.0868
121/241 [==============>...............] - ETA: 0s - loss: 0.0869
153/241 [==================>...........] - ETA: 0s - loss: 0.0836
185/241 [======================>.......] - ETA: 0s - loss: 0.0865
211/241 [=========================>....] - ETA: 0s - loss: 0.0842
237/241 [============================>.] - ETA: 0s - loss: 0.0814
241/241 [==============================] - 1s 2ms/step - loss: 0.0812
- Epoch 4/10
-
1/241 [..............................] - ETA: 3s - loss: 0.0173
33/241 [===>..........................] - ETA: 0s - loss: 0.0665
67/241 [=======>......................] - ETA: 0s - loss: 0.0781
98/241 [===========>..................] - ETA: 0s - loss: 0.0851
121/241 [==============>...............] - ETA: 0s - loss: 0.0869
135/241 [===============>..............] - ETA: 0s - loss: 0.0818
152/241 [=================>............] - ETA: 0s - loss: 0.0829
185/241 [======================>.......] - ETA: 0s - loss: 0.0826
217/241 [==========================>...] - ETA: 0s - loss: 0.0826
241/241 [==============================] - 0s 2ms/step - loss: 0.0830
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1681
35/241 [===>..........................] - ETA: 0s - loss: 0.0943
55/241 [=====>........................] - ETA: 0s - loss: 0.0856
72/241 [=======>......................] - ETA: 0s - loss: 0.0802
104/241 [===========>..................] - ETA: 0s - loss: 0.0819
135/241 [===============>..............] - ETA: 0s - loss: 0.0789
168/241 [===================>..........] - ETA: 0s - loss: 0.0779
197/241 [=======================>......] - ETA: 0s - loss: 0.0777
213/241 [=========================>....] - ETA: 0s - loss: 0.0788
227/241 [===========================>..] - ETA: 0s - loss: 0.0789
241/241 [==============================] - 0s 2ms/step - loss: 0.0793
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0077
23/241 [=>............................] - ETA: 0s - loss: 0.0736
52/241 [=====>........................] - ETA: 0s - loss: 0.0746
84/241 [=========>....................] - ETA: 0s - loss: 0.0739
118/241 [=============>................] - ETA: 0s - loss: 0.0758
128/241 [==============>...............] - ETA: 0s - loss: 0.0764
151/241 [=================>............] - ETA: 0s - loss: 0.0778
184/241 [=====================>........] - ETA: 0s - loss: 0.0811
218/241 [==========================>...] - ETA: 0s - loss: 0.0806
241/241 [==============================] - 0s 2ms/step - loss: 0.0804
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0482
32/241 [==>...........................] - ETA: 0s - loss: 0.0870
43/241 [====>.........................] - ETA: 0s - loss: 0.0904
77/241 [========>.....................] - ETA: 0s - loss: 0.0888
112/241 [============>.................] - ETA: 0s - loss: 0.0838
147/241 [=================>............] - ETA: 0s - loss: 0.0844
174/241 [====================>.........] - ETA: 0s - loss: 0.0820
197/241 [=======================>......] - ETA: 0s - loss: 0.0800
223/241 [==========================>...] - ETA: 0s - loss: 0.0778
241/241 [==============================] - 0s 2ms/step - loss: 0.0757
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0387
34/241 [===>..........................] - ETA: 0s - loss: 0.0787
65/241 [=======>......................] - ETA: 0s - loss: 0.0946
97/241 [===========>..................] - ETA: 0s - loss: 0.0841
102/241 [===========>..................] - ETA: 0s - loss: 0.0829
127/241 [==============>...............] - ETA: 0s - loss: 0.0828
155/241 [==================>...........] - ETA: 0s - loss: 0.0817
187/241 [======================>.......] - ETA: 0s - loss: 0.0803
217/241 [==========================>...] - ETA: 0s - loss: 0.0801
239/241 [============================>.] - ETA: 0s - loss: 0.0786
241/241 [==============================] - 0s 2ms/step - loss: 0.0783
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0071
25/241 [==>...........................] - ETA: 0s - loss: 0.0465
59/241 [======>.......................] - ETA: 0s - loss: 0.0643
92/241 [==========>...................] - ETA: 0s - loss: 0.0754
122/241 [==============>...............] - ETA: 0s - loss: 0.0796
147/241 [=================>............] - ETA: 0s - loss: 0.0821
156/241 [==================>...........] - ETA: 0s - loss: 0.0819
190/241 [======================>.......] - ETA: 0s - loss: 0.0830
224/241 [==========================>...] - ETA: 0s - loss: 0.0836
241/241 [==============================] - 0s 2ms/step - loss: 0.0827
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1022
32/241 [==>...........................] - ETA: 0s - loss: 0.0575
62/241 [======>.......................] - ETA: 0s - loss: 0.0673
69/241 [=======>......................] - ETA: 0s - loss: 0.0685
93/241 [==========>...................] - ETA: 0s - loss: 0.0664
125/241 [==============>...............] - ETA: 0s - loss: 0.0728
156/241 [==================>...........] - ETA: 0s - loss: 0.0746
182/241 [=====================>........] - ETA: 0s - loss: 0.0762
208/241 [========================>.....] - ETA: 0s - loss: 0.0753
224/241 [==========================>...] - ETA: 0s - loss: 0.0756
241/241 [==============================] - 1s 2ms/step - loss: 0.0744
- -> test with GAN.predict
- GAN tn, fp: 576, 27
- GAN fn, tp: 7, 24
- GAN f1 score: 0.585
- GAN cohens kappa score: 0.559
- -> test with 'LR'
- LR tn, fp: 511, 92
- LR fn, tp: 1, 30
- LR f1 score: 0.392
- LR cohens kappa score: 0.341
- LR average precision score: 0.538
- -> test with 'RF'
- RF tn, fp: 598, 5
- RF fn, tp: 6, 25
- RF f1 score: 0.820
- RF cohens kappa score: 0.811
- -> test with 'GB'
- GB tn, fp: 586, 17
- GB fn, tp: 3, 28
- GB f1 score: 0.737
- GB cohens kappa score: 0.721
- -> test with 'KNN'
- KNN tn, fp: 571, 32
- KNN fn, tp: 8, 23
- KNN f1 score: 0.535
- KNN cohens kappa score: 0.504
- ------ Step 3/5: Slice 4/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 1:09 - loss: 0.0405
41/241 [====>.........................] - ETA: 0s - loss: 0.0839
78/241 [========>.....................] - ETA: 0s - loss: 0.0837
112/241 [============>.................] - ETA: 0s - loss: 0.0849
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220/241 [==========================>...] - ETA: 0s - loss: 0.0819
241/241 [==============================] - 1s 2ms/step - loss: 0.0858
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1197
35/241 [===>..........................] - ETA: 0s - loss: 0.0817
62/241 [======>.......................] - ETA: 0s - loss: 0.0770
69/241 [=======>......................] - ETA: 0s - loss: 0.0750
72/241 [=======>......................] - ETA: 0s - loss: 0.0763
96/241 [==========>...................] - ETA: 0s - loss: 0.0769
130/241 [===============>..............] - ETA: 0s - loss: 0.0730
149/241 [=================>............] - ETA: 0s - loss: 0.0732
170/241 [====================>.........] - ETA: 0s - loss: 0.0732
198/241 [=======================>......] - ETA: 0s - loss: 0.0774
218/241 [==========================>...] - ETA: 0s - loss: 0.0783
233/241 [============================>.] - ETA: 0s - loss: 0.0777
241/241 [==============================] - 1s 2ms/step - loss: 0.0792
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0202
36/241 [===>..........................] - ETA: 0s - loss: 0.0751
74/241 [========>.....................] - ETA: 0s - loss: 0.0725
99/241 [===========>..................] - ETA: 0s - loss: 0.0767
128/241 [==============>...............] - ETA: 0s - loss: 0.0798
138/241 [================>.............] - ETA: 0s - loss: 0.0771
152/241 [=================>............] - ETA: 0s - loss: 0.0739
187/241 [======================>.......] - ETA: 0s - loss: 0.0751
222/241 [==========================>...] - ETA: 0s - loss: 0.0758
241/241 [==============================] - 0s 2ms/step - loss: 0.0786
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0125
34/241 [===>..........................] - ETA: 0s - loss: 0.0654
66/241 [=======>......................] - ETA: 0s - loss: 0.0669
74/241 [========>.....................] - ETA: 0s - loss: 0.0683
113/241 [=============>................] - ETA: 0s - loss: 0.0764
150/241 [=================>............] - ETA: 0s - loss: 0.0692
186/241 [======================>.......] - ETA: 0s - loss: 0.0699
220/241 [==========================>...] - ETA: 0s - loss: 0.0752
241/241 [==============================] - 0s 2ms/step - loss: 0.0764
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0449
21/241 [=>............................] - ETA: 0s - loss: 0.1272
47/241 [====>.........................] - ETA: 0s - loss: 0.0912
86/241 [=========>....................] - ETA: 0s - loss: 0.0849
124/241 [==============>...............] - ETA: 0s - loss: 0.0825
159/241 [==================>...........] - ETA: 0s - loss: 0.0782
195/241 [=======================>......] - ETA: 0s - loss: 0.0781
203/241 [========================>.....] - ETA: 0s - loss: 0.0787
230/241 [===========================>..] - ETA: 0s - loss: 0.0780
241/241 [==============================] - 0s 2ms/step - loss: 0.0784
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0019
39/241 [===>..........................] - ETA: 0s - loss: 0.0970
75/241 [========>.....................] - ETA: 0s - loss: 0.0882
108/241 [============>.................] - ETA: 0s - loss: 0.0819
125/241 [==============>...............] - ETA: 0s - loss: 0.0822
142/241 [================>.............] - ETA: 0s - loss: 0.0812
182/241 [=====================>........] - ETA: 0s - loss: 0.0750
222/241 [==========================>...] - ETA: 0s - loss: 0.0749
241/241 [==============================] - 0s 2ms/step - loss: 0.0759
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0574
34/241 [===>..........................] - ETA: 0s - loss: 0.0907
65/241 [=======>......................] - ETA: 0s - loss: 0.0803
76/241 [========>.....................] - ETA: 0s - loss: 0.0744
114/241 [=============>................] - ETA: 0s - loss: 0.0838
151/241 [=================>............] - ETA: 0s - loss: 0.0772
189/241 [======================>.......] - ETA: 0s - loss: 0.0749
223/241 [==========================>...] - ETA: 0s - loss: 0.0741
241/241 [==============================] - 0s 2ms/step - loss: 0.0758
- Epoch 8/10
-
1/241 [..............................] - ETA: 2s - loss: 0.0363
18/241 [=>............................] - ETA: 0s - loss: 0.0818
53/241 [=====>........................] - ETA: 0s - loss: 0.0696
93/241 [==========>...................] - ETA: 0s - loss: 0.0626
128/241 [==============>...............] - ETA: 0s - loss: 0.0652
159/241 [==================>...........] - ETA: 0s - loss: 0.0656
189/241 [======================>.......] - ETA: 0s - loss: 0.0696
199/241 [=======================>......] - ETA: 0s - loss: 0.0701
232/241 [===========================>..] - ETA: 0s - loss: 0.0727
241/241 [==============================] - 0s 2ms/step - loss: 0.0733
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1286
34/241 [===>..........................] - ETA: 0s - loss: 0.0679
71/241 [=======>......................] - ETA: 0s - loss: 0.0744
105/241 [============>.................] - ETA: 0s - loss: 0.0740
132/241 [===============>..............] - ETA: 0s - loss: 0.0769
141/241 [================>.............] - ETA: 0s - loss: 0.0748
177/241 [=====================>........] - ETA: 0s - loss: 0.0718
214/241 [=========================>....] - ETA: 0s - loss: 0.0713
241/241 [==============================] - 0s 2ms/step - loss: 0.0760
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0656
35/241 [===>..........................] - ETA: 0s - loss: 0.0416
63/241 [======>.......................] - ETA: 0s - loss: 0.0508
78/241 [========>.....................] - ETA: 0s - loss: 0.0524
118/241 [=============>................] - ETA: 0s - loss: 0.0591
156/241 [==================>...........] - ETA: 0s - loss: 0.0648
191/241 [======================>.......] - ETA: 0s - loss: 0.0669
222/241 [==========================>...] - ETA: 0s - loss: 0.0666
235/241 [============================>.] - ETA: 0s - loss: 0.0669
241/241 [==============================] - 0s 2ms/step - loss: 0.0669
- -> test with GAN.predict
- GAN tn, fp: 586, 17
- GAN fn, tp: 9, 22
- GAN f1 score: 0.629
- GAN cohens kappa score: 0.607
- -> test with 'LR'
- LR tn, fp: 512, 91
- LR fn, tp: 2, 29
- LR f1 score: 0.384
- LR cohens kappa score: 0.332
- LR average precision score: 0.489
- -> test with 'RF'
- RF tn, fp: 594, 9
- RF fn, tp: 11, 20
- RF f1 score: 0.667
- RF cohens kappa score: 0.650
- -> test with 'GB'
- GB tn, fp: 591, 12
- GB fn, tp: 7, 24
- GB f1 score: 0.716
- GB cohens kappa score: 0.701
- -> test with 'KNN'
- KNN tn, fp: 572, 31
- KNN fn, tp: 9, 22
- KNN f1 score: 0.524
- KNN cohens kappa score: 0.492
- ------ Step 3/5: Slice 5/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2288 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/242 [..............................] - ETA: 37s - loss: 0.0736
40/242 [===>..........................] - ETA: 0s - loss: 0.0911
79/242 [========>.....................] - ETA: 0s - loss: 0.0927
115/242 [=============>................] - ETA: 0s - loss: 0.0882
155/242 [==================>...........] - ETA: 0s - loss: 0.0836
195/242 [=======================>......] - ETA: 0s - loss: 0.0794
235/242 [============================>.] - ETA: 0s - loss: 0.0756
242/242 [==============================] - 0s 1ms/step - loss: 0.0761
- Epoch 2/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0453
40/242 [===>..........................] - ETA: 0s - loss: 0.0604
80/242 [========>.....................] - ETA: 0s - loss: 0.0585
118/242 [=============>................] - ETA: 0s - loss: 0.0669
157/242 [==================>...........] - ETA: 0s - loss: 0.0703
197/242 [=======================>......] - ETA: 0s - loss: 0.0719
236/242 [============================>.] - ETA: 0s - loss: 0.0690
242/242 [==============================] - 0s 1ms/step - loss: 0.0686
- Epoch 3/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0065
41/242 [====>.........................] - ETA: 0s - loss: 0.0812
81/242 [=========>....................] - ETA: 0s - loss: 0.0766
122/242 [==============>...............] - ETA: 0s - loss: 0.0778
161/242 [==================>...........] - ETA: 0s - loss: 0.0717
202/242 [========================>.....] - ETA: 0s - loss: 0.0696
241/242 [============================>.] - ETA: 0s - loss: 0.0663
242/242 [==============================] - 0s 1ms/step - loss: 0.0662
- Epoch 4/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0270
41/242 [====>.........................] - ETA: 0s - loss: 0.0615
44/242 [====>.........................] - ETA: 1s - loss: 0.0648
66/242 [=======>......................] - ETA: 0s - loss: 0.0699
100/242 [===========>..................] - ETA: 0s - loss: 0.0635
138/242 [================>.............] - ETA: 0s - loss: 0.0668
179/242 [=====================>........] - ETA: 0s - loss: 0.0649
218/242 [==========================>...] - ETA: 0s - loss: 0.0644
242/242 [==============================] - 1s 2ms/step - loss: 0.0644
- Epoch 5/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0359
41/242 [====>.........................] - ETA: 0s - loss: 0.0878
77/242 [========>.....................] - ETA: 0s - loss: 0.0788
113/242 [=============>................] - ETA: 0s - loss: 0.0779
150/242 [=================>............] - ETA: 0s - loss: 0.0716
189/242 [======================>.......] - ETA: 0s - loss: 0.0696
225/242 [==========================>...] - ETA: 0s - loss: 0.0669
242/242 [==============================] - 0s 1ms/step - loss: 0.0671
- Epoch 6/10
-
1/242 [..............................] - ETA: 0s - loss: 0.1462
40/242 [===>..........................] - ETA: 0s - loss: 0.0468
79/242 [========>.....................] - ETA: 0s - loss: 0.0570
118/242 [=============>................] - ETA: 0s - loss: 0.0554
157/242 [==================>...........] - ETA: 0s - loss: 0.0609
198/242 [=======================>......] - ETA: 0s - loss: 0.0632
236/242 [============================>.] - ETA: 0s - loss: 0.0631
242/242 [==============================] - 0s 1ms/step - loss: 0.0644
- Epoch 7/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0181
43/242 [====>.........................] - ETA: 0s - loss: 0.0806
82/242 [=========>....................] - ETA: 0s - loss: 0.0724
121/242 [==============>...............] - ETA: 0s - loss: 0.0675
160/242 [==================>...........] - ETA: 0s - loss: 0.0648
201/242 [=======================>......] - ETA: 0s - loss: 0.0690
240/242 [============================>.] - ETA: 0s - loss: 0.0699
242/242 [==============================] - 0s 1ms/step - loss: 0.0701
- Epoch 8/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0288
41/242 [====>.........................] - ETA: 0s - loss: 0.0702
81/242 [=========>....................] - ETA: 0s - loss: 0.0636
121/242 [==============>...............] - ETA: 0s - loss: 0.0620
162/242 [===================>..........] - ETA: 0s - loss: 0.0584
202/242 [========================>.....] - ETA: 0s - loss: 0.0650
241/242 [============================>.] - ETA: 0s - loss: 0.0651
242/242 [==============================] - 0s 1ms/step - loss: 0.0650
- Epoch 9/10
-
1/242 [..............................] - ETA: 0s - loss: 0.1564
39/242 [===>..........................] - ETA: 0s - loss: 0.0590
78/242 [========>.....................] - ETA: 0s - loss: 0.0632
116/242 [=============>................] - ETA: 0s - loss: 0.0638
155/242 [==================>...........] - ETA: 0s - loss: 0.0592
195/242 [=======================>......] - ETA: 0s - loss: 0.0589
232/242 [===========================>..] - ETA: 0s - loss: 0.0637
242/242 [==============================] - 0s 1ms/step - loss: 0.0642
- Epoch 10/10
-
1/242 [..............................] - ETA: 0s - loss: 0.3184
41/242 [====>.........................] - ETA: 0s - loss: 0.0723
81/242 [=========>....................] - ETA: 0s - loss: 0.0640
119/242 [=============>................] - ETA: 0s - loss: 0.0634
159/242 [==================>...........] - ETA: 0s - loss: 0.0607
198/242 [=======================>......] - ETA: 0s - loss: 0.0591
230/242 [===========================>..] - ETA: 0s - loss: 0.0626
242/242 [==============================] - 0s 1ms/step - loss: 0.0632
- -> test with GAN.predict
- GAN tn, fp: 587, 13
- GAN fn, tp: 3, 24
- GAN f1 score: 0.750
- GAN cohens kappa score: 0.737
- -> test with 'LR'
- LR tn, fp: 517, 83
- LR fn, tp: 6, 21
- LR f1 score: 0.321
- LR cohens kappa score: 0.271
- LR average precision score: 0.295
- -> test with 'RF'
- RF tn, fp: 595, 5
- RF fn, tp: 4, 23
- RF f1 score: 0.836
- RF cohens kappa score: 0.829
- -> test with 'GB'
- GB tn, fp: 595, 5
- GB fn, tp: 2, 25
- GB f1 score: 0.877
- GB cohens kappa score: 0.871
- -> test with 'KNN'
- KNN tn, fp: 580, 20
- KNN fn, tp: 3, 24
- KNN f1 score: 0.676
- KNN cohens kappa score: 0.658
- ====== Step 4/5 =======
- -> Shuffling data
- -> Spliting data to slices
- ------ Step 4/5: Slice 1/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 48s - loss: 0.0289
41/241 [====>.........................] - ETA: 0s - loss: 0.1223
79/241 [========>.....................] - ETA: 0s - loss: 0.1084
115/241 [=============>................] - ETA: 0s - loss: 0.1076
148/241 [=================>............] - ETA: 0s - loss: 0.1019
182/241 [=====================>........] - ETA: 0s - loss: 0.1039
221/241 [==========================>...] - ETA: 0s - loss: 0.1004
241/241 [==============================] - 1s 1ms/step - loss: 0.0997
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1181
41/241 [====>.........................] - ETA: 0s - loss: 0.1373
80/241 [========>.....................] - ETA: 0s - loss: 0.1069
118/241 [=============>................] - ETA: 0s - loss: 0.1070
157/241 [==================>...........] - ETA: 0s - loss: 0.0989
200/241 [=======================>......] - ETA: 0s - loss: 0.0986
241/241 [==============================] - 0s 1ms/step - loss: 0.0962
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0827
45/241 [====>.........................] - ETA: 0s - loss: 0.0775
82/241 [=========>....................] - ETA: 0s - loss: 0.0767
113/241 [=============>................] - ETA: 0s - loss: 0.0813
146/241 [=================>............] - ETA: 0s - loss: 0.0811
181/241 [=====================>........] - ETA: 0s - loss: 0.0851
220/241 [==========================>...] - ETA: 0s - loss: 0.0879
241/241 [==============================] - 0s 1ms/step - loss: 0.0891
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0255
39/241 [===>..........................] - ETA: 0s - loss: 0.1029
78/241 [========>.....................] - ETA: 0s - loss: 0.1050
111/241 [============>.................] - ETA: 0s - loss: 0.0964
144/241 [================>.............] - ETA: 0s - loss: 0.0937
180/241 [=====================>........] - ETA: 0s - loss: 0.0916
220/241 [==========================>...] - ETA: 0s - loss: 0.0899
241/241 [==============================] - 0s 1ms/step - loss: 0.0922
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0658
40/241 [===>..........................] - ETA: 0s - loss: 0.0593
74/241 [========>.....................] - ETA: 0s - loss: 0.0686
108/241 [============>.................] - ETA: 0s - loss: 0.0780
146/241 [=================>............] - ETA: 0s - loss: 0.0779
183/241 [=====================>........] - ETA: 0s - loss: 0.0842
225/241 [===========================>..] - ETA: 0s - loss: 0.0850
241/241 [==============================] - 0s 1ms/step - loss: 0.0853
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1727
40/241 [===>..........................] - ETA: 0s - loss: 0.0888
81/241 [=========>....................] - ETA: 0s - loss: 0.0786
120/241 [=============>................] - ETA: 0s - loss: 0.0854
158/241 [==================>...........] - ETA: 0s - loss: 0.0876
199/241 [=======================>......] - ETA: 0s - loss: 0.0834
239/241 [============================>.] - ETA: 0s - loss: 0.0828
241/241 [==============================] - 0s 1ms/step - loss: 0.0835
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0690
41/241 [====>.........................] - ETA: 0s - loss: 0.0903
82/241 [=========>....................] - ETA: 0s - loss: 0.0762
121/241 [==============>...............] - ETA: 0s - loss: 0.0803
158/241 [==================>...........] - ETA: 0s - loss: 0.0813
197/241 [=======================>......] - ETA: 0s - loss: 0.0821
237/241 [============================>.] - ETA: 0s - loss: 0.0833
241/241 [==============================] - 0s 1ms/step - loss: 0.0835
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0098
35/241 [===>..........................] - ETA: 0s - loss: 0.0874
68/241 [=======>......................] - ETA: 0s - loss: 0.0881
98/241 [===========>..................] - ETA: 0s - loss: 0.0818
135/241 [===============>..............] - ETA: 0s - loss: 0.0878
172/241 [====================>.........] - ETA: 0s - loss: 0.0863
209/241 [=========================>....] - ETA: 0s - loss: 0.0826
241/241 [==============================] - 0s 1ms/step - loss: 0.0795
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2235
39/241 [===>..........................] - ETA: 0s - loss: 0.0729
79/241 [========>.....................] - ETA: 0s - loss: 0.0743
119/241 [=============>................] - ETA: 0s - loss: 0.0700
156/241 [==================>...........] - ETA: 0s - loss: 0.0715
195/241 [=======================>......] - ETA: 0s - loss: 0.0725
234/241 [============================>.] - ETA: 0s - loss: 0.0740
241/241 [==============================] - 0s 1ms/step - loss: 0.0761
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0612
41/241 [====>.........................] - ETA: 0s - loss: 0.0834
81/241 [=========>....................] - ETA: 0s - loss: 0.0784
120/241 [=============>................] - ETA: 0s - loss: 0.0816
158/241 [==================>...........] - ETA: 0s - loss: 0.0790
199/241 [=======================>......] - ETA: 0s - loss: 0.0748
238/241 [============================>.] - ETA: 0s - loss: 0.0801
241/241 [==============================] - 0s 1ms/step - loss: 0.0809
- -> test with GAN.predict
- GAN tn, fp: 570, 33
- GAN fn, tp: 7, 24
- GAN f1 score: 0.545
- GAN cohens kappa score: 0.515
- -> test with 'LR'
- LR tn, fp: 524, 79
- LR fn, tp: 5, 26
- LR f1 score: 0.382
- LR cohens kappa score: 0.332
- LR average precision score: 0.397
- -> test with 'RF'
- RF tn, fp: 596, 7
- RF fn, tp: 9, 22
- RF f1 score: 0.733
- RF cohens kappa score: 0.720
- -> test with 'GB'
- GB tn, fp: 590, 13
- GB fn, tp: 4, 27
- GB f1 score: 0.761
- GB cohens kappa score: 0.747
- -> test with 'KNN'
- KNN tn, fp: 575, 28
- KNN fn, tp: 4, 27
- KNN f1 score: 0.628
- KNN cohens kappa score: 0.603
- ------ Step 4/5: Slice 2/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 47s - loss: 0.0057
41/241 [====>.........................] - ETA: 0s - loss: 0.1064
79/241 [========>.....................] - ETA: 0s - loss: 0.0957
115/241 [=============>................] - ETA: 0s - loss: 0.0884
147/241 [=================>............] - ETA: 0s - loss: 0.0873
186/241 [======================>.......] - ETA: 0s - loss: 0.0834
224/241 [==========================>...] - ETA: 0s - loss: 0.0829
241/241 [==============================] - 1s 1ms/step - loss: 0.0836
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0326
42/241 [====>.........................] - ETA: 0s - loss: 0.0676
80/241 [========>.....................] - ETA: 0s - loss: 0.0779
119/241 [=============>................] - ETA: 0s - loss: 0.0762
156/241 [==================>...........] - ETA: 0s - loss: 0.0779
194/241 [=======================>......] - ETA: 0s - loss: 0.0795
231/241 [===========================>..] - ETA: 0s - loss: 0.0772
241/241 [==============================] - 0s 1ms/step - loss: 0.0770
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0283
31/241 [==>...........................] - ETA: 0s - loss: 0.0774
63/241 [======>.......................] - ETA: 0s - loss: 0.0761
94/241 [==========>...................] - ETA: 0s - loss: 0.0714
131/241 [===============>..............] - ETA: 0s - loss: 0.0695
169/241 [====================>.........] - ETA: 0s - loss: 0.0666
207/241 [========================>.....] - ETA: 0s - loss: 0.0725
241/241 [==============================] - 0s 1ms/step - loss: 0.0753
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0664
40/241 [===>..........................] - ETA: 0s - loss: 0.0685
77/241 [========>.....................] - ETA: 0s - loss: 0.0827
115/241 [=============>................] - ETA: 0s - loss: 0.0715
154/241 [==================>...........] - ETA: 0s - loss: 0.0728
194/241 [=======================>......] - ETA: 0s - loss: 0.0702
233/241 [============================>.] - ETA: 0s - loss: 0.0735
241/241 [==============================] - 0s 1ms/step - loss: 0.0735
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0490
41/241 [====>.........................] - ETA: 0s - loss: 0.0688
81/241 [=========>....................] - ETA: 0s - loss: 0.0670
122/241 [==============>...............] - ETA: 0s - loss: 0.0711
160/241 [==================>...........] - ETA: 0s - loss: 0.0734
199/241 [=======================>......] - ETA: 0s - loss: 0.0738
237/241 [============================>.] - ETA: 0s - loss: 0.0738
241/241 [==============================] - 0s 1ms/step - loss: 0.0735
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0882
40/241 [===>..........................] - ETA: 0s - loss: 0.0849
81/241 [=========>....................] - ETA: 0s - loss: 0.0782
121/241 [==============>...............] - ETA: 0s - loss: 0.0724
161/241 [===================>..........] - ETA: 0s - loss: 0.0710
199/241 [=======================>......] - ETA: 0s - loss: 0.0734
238/241 [============================>.] - ETA: 0s - loss: 0.0734
241/241 [==============================] - 0s 1ms/step - loss: 0.0730
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0282
41/241 [====>.........................] - ETA: 0s - loss: 0.0686
78/241 [========>.....................] - ETA: 0s - loss: 0.0710
112/241 [============>.................] - ETA: 0s - loss: 0.0708
151/241 [=================>............] - ETA: 0s - loss: 0.0682
190/241 [======================>.......] - ETA: 0s - loss: 0.0688
228/241 [===========================>..] - ETA: 0s - loss: 0.0693
241/241 [==============================] - 0s 1ms/step - loss: 0.0692
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0388
38/241 [===>..........................] - ETA: 0s - loss: 0.0674
78/241 [========>.....................] - ETA: 0s - loss: 0.0721
117/241 [=============>................] - ETA: 0s - loss: 0.0703
154/241 [==================>...........] - ETA: 0s - loss: 0.0674
194/241 [=======================>......] - ETA: 0s - loss: 0.0670
234/241 [============================>.] - ETA: 0s - loss: 0.0680
241/241 [==============================] - 0s 1ms/step - loss: 0.0682
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0419
37/241 [===>..........................] - ETA: 0s - loss: 0.0773
76/241 [========>.....................] - ETA: 0s - loss: 0.0738
114/241 [=============>................] - ETA: 0s - loss: 0.0716
152/241 [=================>............] - ETA: 0s - loss: 0.0725
189/241 [======================>.......] - ETA: 0s - loss: 0.0681
223/241 [==========================>...] - ETA: 0s - loss: 0.0676
241/241 [==============================] - 0s 1ms/step - loss: 0.0663
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0728
34/241 [===>..........................] - ETA: 0s - loss: 0.0416
73/241 [========>.....................] - ETA: 0s - loss: 0.0628
115/241 [=============>................] - ETA: 0s - loss: 0.0643
155/241 [==================>...........] - ETA: 0s - loss: 0.0622
195/241 [=======================>......] - ETA: 0s - loss: 0.0663
234/241 [============================>.] - ETA: 0s - loss: 0.0682
241/241 [==============================] - 0s 1ms/step - loss: 0.0674
- -> test with GAN.predict
- GAN tn, fp: 576, 27
- GAN fn, tp: 8, 23
- GAN f1 score: 0.568
- GAN cohens kappa score: 0.540
- -> test with 'LR'
- LR tn, fp: 525, 78
- LR fn, tp: 5, 26
- LR f1 score: 0.385
- LR cohens kappa score: 0.335
- LR average precision score: 0.443
- -> test with 'RF'
- RF tn, fp: 598, 5
- RF fn, tp: 5, 26
- RF f1 score: 0.839
- RF cohens kappa score: 0.830
- -> test with 'GB'
- GB tn, fp: 595, 8
- GB fn, tp: 3, 28
- GB f1 score: 0.836
- GB cohens kappa score: 0.827
- -> test with 'KNN'
- KNN tn, fp: 574, 29
- KNN fn, tp: 7, 24
- KNN f1 score: 0.571
- KNN cohens kappa score: 0.543
- ------ Step 4/5: Slice 3/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 52s - loss: 0.0801
34/241 [===>..........................] - ETA: 0s - loss: 0.0930
69/241 [=======>......................] - ETA: 0s - loss: 0.0988
103/241 [===========>..................] - ETA: 0s - loss: 0.0896
136/241 [===============>..............] - ETA: 0s - loss: 0.0883
171/241 [====================>.........] - ETA: 0s - loss: 0.0871
205/241 [========================>.....] - ETA: 0s - loss: 0.0853
241/241 [==============================] - 1s 1ms/step - loss: 0.0870
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0455
40/241 [===>..........................] - ETA: 0s - loss: 0.0721
76/241 [========>.....................] - ETA: 0s - loss: 0.0728
115/241 [=============>................] - ETA: 0s - loss: 0.0742
150/241 [=================>............] - ETA: 0s - loss: 0.0707
185/241 [======================>.......] - ETA: 0s - loss: 0.0749
221/241 [==========================>...] - ETA: 0s - loss: 0.0833
241/241 [==============================] - 0s 1ms/step - loss: 0.0836
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2019
36/241 [===>..........................] - ETA: 0s - loss: 0.0665
72/241 [=======>......................] - ETA: 0s - loss: 0.0820
107/241 [============>.................] - ETA: 0s - loss: 0.0828
147/241 [=================>............] - ETA: 0s - loss: 0.0858
183/241 [=====================>........] - ETA: 0s - loss: 0.0857
216/241 [=========================>....] - ETA: 0s - loss: 0.0807
241/241 [==============================] - 0s 1ms/step - loss: 0.0778
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0432
37/241 [===>..........................] - ETA: 0s - loss: 0.0709
69/241 [=======>......................] - ETA: 0s - loss: 0.0646
105/241 [============>.................] - ETA: 0s - loss: 0.0701
139/241 [================>.............] - ETA: 0s - loss: 0.0692
173/241 [====================>.........] - ETA: 0s - loss: 0.0702
209/241 [=========================>....] - ETA: 0s - loss: 0.0750
241/241 [==============================] - 0s 1ms/step - loss: 0.0742
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0464
36/241 [===>..........................] - ETA: 0s - loss: 0.0789
68/241 [=======>......................] - ETA: 0s - loss: 0.0736
99/241 [===========>..................] - ETA: 0s - loss: 0.0732
128/241 [==============>...............] - ETA: 0s - loss: 0.0706
159/241 [==================>...........] - ETA: 0s - loss: 0.0729
194/241 [=======================>......] - ETA: 0s - loss: 0.0717
230/241 [===========================>..] - ETA: 0s - loss: 0.0746
241/241 [==============================] - 0s 2ms/step - loss: 0.0749
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0180
38/241 [===>..........................] - ETA: 0s - loss: 0.0498
75/241 [========>.....................] - ETA: 0s - loss: 0.0729
109/241 [============>.................] - ETA: 0s - loss: 0.0816
141/241 [================>.............] - ETA: 0s - loss: 0.0808
174/241 [====================>.........] - ETA: 0s - loss: 0.0790
207/241 [========================>.....] - ETA: 0s - loss: 0.0795
241/241 [==============================] - 0s 1ms/step - loss: 0.0790
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0295
36/241 [===>..........................] - ETA: 0s - loss: 0.0856
71/241 [=======>......................] - ETA: 0s - loss: 0.0708
108/241 [============>.................] - ETA: 0s - loss: 0.0677
145/241 [=================>............] - ETA: 0s - loss: 0.0687
180/241 [=====================>........] - ETA: 0s - loss: 0.0685
214/241 [=========================>....] - ETA: 0s - loss: 0.0706
241/241 [==============================] - 0s 1ms/step - loss: 0.0720
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0830
36/241 [===>..........................] - ETA: 0s - loss: 0.0861
69/241 [=======>......................] - ETA: 0s - loss: 0.0692
106/241 [============>.................] - ETA: 0s - loss: 0.0771
139/241 [================>.............] - ETA: 0s - loss: 0.0722
173/241 [====================>.........] - ETA: 0s - loss: 0.0724
207/241 [========================>.....] - ETA: 0s - loss: 0.0699
241/241 [==============================] - 0s 1ms/step - loss: 0.0709
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0359
38/241 [===>..........................] - ETA: 0s - loss: 0.0700
74/241 [========>.....................] - ETA: 0s - loss: 0.0621
111/241 [============>.................] - ETA: 0s - loss: 0.0655
144/241 [================>.............] - ETA: 0s - loss: 0.0729
177/241 [=====================>........] - ETA: 0s - loss: 0.0752
210/241 [=========================>....] - ETA: 0s - loss: 0.0751
241/241 [==============================] - 0s 1ms/step - loss: 0.0744
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0113
35/241 [===>..........................] - ETA: 0s - loss: 0.0533
71/241 [=======>......................] - ETA: 0s - loss: 0.0668
106/241 [============>.................] - ETA: 0s - loss: 0.0728
138/241 [================>.............] - ETA: 0s - loss: 0.0707
173/241 [====================>.........] - ETA: 0s - loss: 0.0704
211/241 [=========================>....] - ETA: 0s - loss: 0.0715
241/241 [==============================] - 0s 1ms/step - loss: 0.0700
- -> test with GAN.predict
- GAN tn, fp: 574, 29
- GAN fn, tp: 2, 29
- GAN f1 score: 0.652
- GAN cohens kappa score: 0.628
- -> test with 'LR'
- LR tn, fp: 506, 97
- LR fn, tp: 2, 29
- LR f1 score: 0.369
- LR cohens kappa score: 0.316
- LR average precision score: 0.571
- -> test with 'RF'
- RF tn, fp: 599, 4
- RF fn, tp: 8, 23
- RF f1 score: 0.793
- RF cohens kappa score: 0.783
- -> test with 'GB'
- GB tn, fp: 596, 7
- GB fn, tp: 6, 25
- GB f1 score: 0.794
- GB cohens kappa score: 0.783
- -> test with 'KNN'
- KNN tn, fp: 577, 26
- KNN fn, tp: 4, 27
- KNN f1 score: 0.643
- KNN cohens kappa score: 0.619
- ------ Step 4/5: Slice 4/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 46s - loss: 0.0409
37/241 [===>..........................] - ETA: 0s - loss: 0.1030
73/241 [========>.....................] - ETA: 0s - loss: 0.1099
106/241 [============>.................] - ETA: 0s - loss: 0.1100
141/241 [================>.............] - ETA: 0s - loss: 0.1040
175/241 [====================>.........] - ETA: 0s - loss: 0.0976
210/241 [=========================>....] - ETA: 0s - loss: 0.0982
238/241 [============================>.] - ETA: 0s - loss: 0.0974
241/241 [==============================] - 1s 2ms/step - loss: 0.0975
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0195
31/241 [==>...........................] - ETA: 0s - loss: 0.0981
65/241 [=======>......................] - ETA: 0s - loss: 0.0960
102/241 [===========>..................] - ETA: 0s - loss: 0.0854
138/241 [================>.............] - ETA: 0s - loss: 0.0832
177/241 [=====================>........] - ETA: 0s - loss: 0.0833
215/241 [=========================>....] - ETA: 0s - loss: 0.0892
241/241 [==============================] - 0s 1ms/step - loss: 0.0872
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0303
32/241 [==>...........................] - ETA: 0s - loss: 0.0822
68/241 [=======>......................] - ETA: 0s - loss: 0.0863
100/241 [===========>..................] - ETA: 0s - loss: 0.0842
136/241 [===============>..............] - ETA: 0s - loss: 0.0829
168/241 [===================>..........] - ETA: 0s - loss: 0.0887
205/241 [========================>.....] - ETA: 0s - loss: 0.0875
241/241 [==============================] - ETA: 0s - loss: 0.0875
241/241 [==============================] - 0s 1ms/step - loss: 0.0875
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1384
36/241 [===>..........................] - ETA: 0s - loss: 0.1180
71/241 [=======>......................] - ETA: 0s - loss: 0.0947
106/241 [============>.................] - ETA: 0s - loss: 0.0826
143/241 [================>.............] - ETA: 0s - loss: 0.0841
178/241 [=====================>........] - ETA: 0s - loss: 0.0806
213/241 [=========================>....] - ETA: 0s - loss: 0.0785
241/241 [==============================] - 0s 1ms/step - loss: 0.0808
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0686
39/241 [===>..........................] - ETA: 0s - loss: 0.0741
76/241 [========>.....................] - ETA: 0s - loss: 0.0732
112/241 [============>.................] - ETA: 0s - loss: 0.0797
146/241 [=================>............] - ETA: 0s - loss: 0.0730
179/241 [=====================>........] - ETA: 0s - loss: 0.0771
214/241 [=========================>....] - ETA: 0s - loss: 0.0806
241/241 [==============================] - 0s 1ms/step - loss: 0.0814
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0232
36/241 [===>..........................] - ETA: 0s - loss: 0.0824
72/241 [=======>......................] - ETA: 0s - loss: 0.0716
106/241 [============>.................] - ETA: 0s - loss: 0.0730
141/241 [================>.............] - ETA: 0s - loss: 0.0740
177/241 [=====================>........] - ETA: 0s - loss: 0.0859
212/241 [=========================>....] - ETA: 0s - loss: 0.0839
241/241 [==============================] - 0s 1ms/step - loss: 0.0814
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0456
35/241 [===>..........................] - ETA: 0s - loss: 0.0823
70/241 [=======>......................] - ETA: 0s - loss: 0.0786
105/241 [============>.................] - ETA: 0s - loss: 0.0703
140/241 [================>.............] - ETA: 0s - loss: 0.0742
176/241 [====================>.........] - ETA: 0s - loss: 0.0760
212/241 [=========================>....] - ETA: 0s - loss: 0.0785
241/241 [==============================] - 0s 1ms/step - loss: 0.0798
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0306
31/241 [==>...........................] - ETA: 0s - loss: 0.0679
59/241 [======>.......................] - ETA: 0s - loss: 0.0830
90/241 [==========>...................] - ETA: 0s - loss: 0.0746
124/241 [==============>...............] - ETA: 0s - loss: 0.0793
159/241 [==================>...........] - ETA: 0s - loss: 0.0750
188/241 [======================>.......] - ETA: 0s - loss: 0.0749
225/241 [===========================>..] - ETA: 0s - loss: 0.0764
241/241 [==============================] - 0s 2ms/step - loss: 0.0767
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0485
38/241 [===>..........................] - ETA: 0s - loss: 0.0823
75/241 [========>.....................] - ETA: 0s - loss: 0.0823
111/241 [============>.................] - ETA: 0s - loss: 0.0812
145/241 [=================>............] - ETA: 0s - loss: 0.0807
179/241 [=====================>........] - ETA: 0s - loss: 0.0801
213/241 [=========================>....] - ETA: 0s - loss: 0.0794
241/241 [==============================] - 0s 1ms/step - loss: 0.0782
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0225
38/241 [===>..........................] - ETA: 0s - loss: 0.0882
77/241 [========>.....................] - ETA: 0s - loss: 0.0962
113/241 [=============>................] - ETA: 0s - loss: 0.0895
149/241 [=================>............] - ETA: 0s - loss: 0.0827
184/241 [=====================>........] - ETA: 0s - loss: 0.0792
219/241 [==========================>...] - ETA: 0s - loss: 0.0820
241/241 [==============================] - 0s 1ms/step - loss: 0.0798
- -> test with GAN.predict
- GAN tn, fp: 565, 38
- GAN fn, tp: 5, 26
- GAN f1 score: 0.547
- GAN cohens kappa score: 0.515
- -> test with 'LR'
- LR tn, fp: 497, 106
- LR fn, tp: 3, 28
- LR f1 score: 0.339
- LR cohens kappa score: 0.282
- LR average precision score: 0.457
- -> test with 'RF'
- RF tn, fp: 600, 3
- RF fn, tp: 3, 28
- RF f1 score: 0.903
- RF cohens kappa score: 0.898
- -> test with 'GB'
- GB tn, fp: 596, 7
- GB fn, tp: 1, 30
- GB f1 score: 0.882
- GB cohens kappa score: 0.876
- -> test with 'KNN'
- KNN tn, fp: 568, 35
- KNN fn, tp: 8, 23
- KNN f1 score: 0.517
- KNN cohens kappa score: 0.484
- ------ Step 4/5: Slice 5/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2288 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/242 [..............................] - ETA: 2:11 - loss: 0.2119
35/242 [===>..........................] - ETA: 0s - loss: 0.1087
41/242 [====>.........................] - ETA: 0s - loss: 0.1029
77/242 [========>.....................] - ETA: 0s - loss: 0.0904
112/242 [============>.................] - ETA: 0s - loss: 0.0880
148/242 [=================>............] - ETA: 0s - loss: 0.0850
182/242 [=====================>........] - ETA: 0s - loss: 0.0818
210/242 [=========================>....] - ETA: 0s - loss: 0.0777
242/242 [==============================] - 1s 2ms/step - loss: 0.0767
- Epoch 2/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0271
36/242 [===>..........................] - ETA: 0s - loss: 0.0731
71/242 [=======>......................] - ETA: 0s - loss: 0.0802
102/242 [===========>..................] - ETA: 0s - loss: 0.0803
115/242 [=============>................] - ETA: 0s - loss: 0.0760
139/242 [================>.............] - ETA: 0s - loss: 0.0784
175/242 [====================>.........] - ETA: 0s - loss: 0.0723
211/242 [=========================>....] - ETA: 0s - loss: 0.0754
242/242 [==============================] - 0s 2ms/step - loss: 0.0749
- Epoch 3/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0353
35/242 [===>..........................] - ETA: 0s - loss: 0.0807
50/242 [=====>........................] - ETA: 0s - loss: 0.0770
86/242 [=========>....................] - ETA: 0s - loss: 0.0738
120/242 [=============>................] - ETA: 0s - loss: 0.0751
152/242 [=================>............] - ETA: 0s - loss: 0.0786
183/242 [=====================>........] - ETA: 0s - loss: 0.0767
197/242 [=======================>......] - ETA: 0s - loss: 0.0757
225/242 [==========================>...] - ETA: 0s - loss: 0.0734
242/242 [==============================] - 0s 2ms/step - loss: 0.0739
- Epoch 4/10
-
1/242 [..............................] - ETA: 0s - loss: 0.1415
34/242 [===>..........................] - ETA: 0s - loss: 0.0733
65/242 [=======>......................] - ETA: 0s - loss: 0.0846
94/242 [==========>...................] - ETA: 0s - loss: 0.0835
100/242 [===========>..................] - ETA: 0s - loss: 0.0796
132/242 [===============>..............] - ETA: 0s - loss: 0.0759
168/242 [===================>..........] - ETA: 0s - loss: 0.0734
201/242 [=======================>......] - ETA: 0s - loss: 0.0757
234/242 [============================>.] - ETA: 0s - loss: 0.0730
242/242 [==============================] - 0s 2ms/step - loss: 0.0727
- Epoch 5/10
-
1/242 [..............................] - ETA: 0s - loss: 0.4021
19/242 [=>............................] - ETA: 0s - loss: 0.0661
45/242 [====>.........................] - ETA: 0s - loss: 0.0673
79/242 [========>.....................] - ETA: 0s - loss: 0.0726
112/242 [============>.................] - ETA: 0s - loss: 0.0729
144/242 [================>.............] - ETA: 0s - loss: 0.0658
177/242 [====================>.........] - ETA: 0s - loss: 0.0674
196/242 [=======================>......] - ETA: 0s - loss: 0.0714
222/242 [==========================>...] - ETA: 0s - loss: 0.0749
242/242 [==============================] - 0s 2ms/step - loss: 0.0735
- Epoch 6/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0621
37/242 [===>..........................] - ETA: 0s - loss: 0.0716
72/242 [=======>......................] - ETA: 0s - loss: 0.0674
104/242 [===========>..................] - ETA: 0s - loss: 0.0690
113/242 [=============>................] - ETA: 0s - loss: 0.0729
147/242 [=================>............] - ETA: 0s - loss: 0.0692
183/242 [=====================>........] - ETA: 0s - loss: 0.0774
217/242 [=========================>....] - ETA: 0s - loss: 0.0740
242/242 [==============================] - 0s 2ms/step - loss: 0.0728
- Epoch 7/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0046
17/242 [=>............................] - ETA: 0s - loss: 0.0706
38/242 [===>..........................] - ETA: 0s - loss: 0.0832
73/242 [========>.....................] - ETA: 0s - loss: 0.0768
107/242 [============>.................] - ETA: 0s - loss: 0.0699
141/242 [================>.............] - ETA: 0s - loss: 0.0700
174/242 [====================>.........] - ETA: 0s - loss: 0.0731
180/242 [=====================>........] - ETA: 0s - loss: 0.0726
209/242 [========================>.....] - ETA: 0s - loss: 0.0731
242/242 [==============================] - 0s 2ms/step - loss: 0.0702
- Epoch 8/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0473
36/242 [===>..........................] - ETA: 0s - loss: 0.0516
70/242 [=======>......................] - ETA: 0s - loss: 0.0542
86/242 [=========>....................] - ETA: 0s - loss: 0.0634
110/242 [============>.................] - ETA: 0s - loss: 0.0623
143/242 [================>.............] - ETA: 0s - loss: 0.0685
180/242 [=====================>........] - ETA: 0s - loss: 0.0674
214/242 [=========================>....] - ETA: 0s - loss: 0.0703
242/242 [==============================] - ETA: 0s - loss: 0.0697
242/242 [==============================] - 0s 2ms/step - loss: 0.0697
- Epoch 9/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0296
24/242 [=>............................] - ETA: 0s - loss: 0.0851
57/242 [======>.......................] - ETA: 0s - loss: 0.0854
89/242 [==========>...................] - ETA: 0s - loss: 0.0785
114/242 [=============>................] - ETA: 0s - loss: 0.0735
149/242 [=================>............] - ETA: 0s - loss: 0.0730
158/242 [==================>...........] - ETA: 0s - loss: 0.0739
187/242 [======================>.......] - ETA: 0s - loss: 0.0708
225/242 [==========================>...] - ETA: 0s - loss: 0.0683
242/242 [==============================] - 0s 2ms/step - loss: 0.0660
- Epoch 10/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0541
39/242 [===>..........................] - ETA: 0s - loss: 0.0575
73/242 [========>.....................] - ETA: 0s - loss: 0.0599
96/242 [==========>...................] - ETA: 0s - loss: 0.0594
116/242 [=============>................] - ETA: 0s - loss: 0.0669
150/242 [=================>............] - ETA: 0s - loss: 0.0683
184/242 [=====================>........] - ETA: 0s - loss: 0.0687
217/242 [=========================>....] - ETA: 0s - loss: 0.0669
242/242 [==============================] - 0s 2ms/step - loss: 0.0681
- -> test with GAN.predict
- GAN tn, fp: 575, 25
- GAN fn, tp: 6, 21
- GAN f1 score: 0.575
- GAN cohens kappa score: 0.551
- -> test with 'LR'
- LR tn, fp: 520, 80
- LR fn, tp: 7, 20
- LR f1 score: 0.315
- LR cohens kappa score: 0.265
- LR average precision score: 0.424
- -> test with 'RF'
- RF tn, fp: 596, 4
- RF fn, tp: 7, 20
- RF f1 score: 0.784
- RF cohens kappa score: 0.775
- -> test with 'GB'
- GB tn, fp: 596, 4
- GB fn, tp: 6, 21
- GB f1 score: 0.808
- GB cohens kappa score: 0.799
- -> test with 'KNN'
- KNN tn, fp: 564, 36
- KNN fn, tp: 6, 21
- KNN f1 score: 0.500
- KNN cohens kappa score: 0.469
- ====== Step 5/5 =======
- -> Shuffling data
- -> Spliting data to slices
- ------ Step 5/5: Slice 1/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 52s - loss: 0.1105
33/241 [===>..........................] - ETA: 0s - loss: 0.1213
67/241 [=======>......................] - ETA: 0s - loss: 0.1244
102/241 [===========>..................] - ETA: 0s - loss: 0.1167
133/241 [===============>..............] - ETA: 0s - loss: 0.1183
164/241 [===================>..........] - ETA: 0s - loss: 0.1122
196/241 [=======================>......] - ETA: 0s - loss: 0.1101
229/241 [===========================>..] - ETA: 0s - loss: 0.1081
241/241 [==============================] - 1s 2ms/step - loss: 0.1058
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0829
32/241 [==>...........................] - ETA: 0s - loss: 0.1296
65/241 [=======>......................] - ETA: 0s - loss: 0.1076
96/241 [==========>...................] - ETA: 0s - loss: 0.1015
130/241 [===============>..............] - ETA: 0s - loss: 0.1028
161/241 [===================>..........] - ETA: 0s - loss: 0.0982
195/241 [=======================>......] - ETA: 0s - loss: 0.0986
229/241 [===========================>..] - ETA: 0s - loss: 0.1020
241/241 [==============================] - 0s 2ms/step - loss: 0.0991
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0522
34/241 [===>..........................] - ETA: 0s - loss: 0.0927
70/241 [=======>......................] - ETA: 0s - loss: 0.0931
105/241 [============>.................] - ETA: 0s - loss: 0.1115
138/241 [================>.............] - ETA: 0s - loss: 0.1083
173/241 [====================>.........] - ETA: 0s - loss: 0.1025
205/241 [========================>.....] - ETA: 0s - loss: 0.0983
239/241 [============================>.] - ETA: 0s - loss: 0.0946
241/241 [==============================] - 0s 1ms/step - loss: 0.0949
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0906
35/241 [===>..........................] - ETA: 0s - loss: 0.0858
73/241 [========>.....................] - ETA: 0s - loss: 0.1022
107/241 [============>.................] - ETA: 0s - loss: 0.1034
142/241 [================>.............] - ETA: 0s - loss: 0.1094
173/241 [====================>.........] - ETA: 0s - loss: 0.1074
205/241 [========================>.....] - ETA: 0s - loss: 0.1035
239/241 [============================>.] - ETA: 0s - loss: 0.1025
241/241 [==============================] - 0s 1ms/step - loss: 0.1022
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0495
33/241 [===>..........................] - ETA: 0s - loss: 0.0901
66/241 [=======>......................] - ETA: 0s - loss: 0.0767
99/241 [===========>..................] - ETA: 0s - loss: 0.0869
138/241 [================>.............] - ETA: 0s - loss: 0.0849
171/241 [====================>.........] - ETA: 0s - loss: 0.0863
205/241 [========================>.....] - ETA: 0s - loss: 0.0881
238/241 [============================>.] - ETA: 0s - loss: 0.0929
241/241 [==============================] - 0s 1ms/step - loss: 0.0928
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0212
34/241 [===>..........................] - ETA: 0s - loss: 0.1043
70/241 [=======>......................] - ETA: 0s - loss: 0.1056
104/241 [===========>..................] - ETA: 0s - loss: 0.0983
133/241 [===============>..............] - ETA: 0s - loss: 0.1049
164/241 [===================>..........] - ETA: 0s - loss: 0.0999
198/241 [=======================>......] - ETA: 0s - loss: 0.0940
238/241 [============================>.] - ETA: 0s - loss: 0.0915
241/241 [==============================] - 0s 2ms/step - loss: 0.0924
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0241
34/241 [===>..........................] - ETA: 0s - loss: 0.0899
67/241 [=======>......................] - ETA: 0s - loss: 0.0954
101/241 [===========>..................] - ETA: 0s - loss: 0.0909
133/241 [===============>..............] - ETA: 0s - loss: 0.0917
166/241 [===================>..........] - ETA: 0s - loss: 0.0971
199/241 [=======================>......] - ETA: 0s - loss: 0.0990
236/241 [============================>.] - ETA: 0s - loss: 0.0968
241/241 [==============================] - 0s 2ms/step - loss: 0.0960
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0262
31/241 [==>...........................] - ETA: 0s - loss: 0.1246
63/241 [======>.......................] - ETA: 0s - loss: 0.1108
83/241 [=========>....................] - ETA: 0s - loss: 0.1037
98/241 [===========>..................] - ETA: 0s - loss: 0.0990
122/241 [==============>...............] - ETA: 0s - loss: 0.0922
147/241 [=================>............] - ETA: 0s - loss: 0.0908
171/241 [====================>.........] - ETA: 0s - loss: 0.0907
199/241 [=======================>......] - ETA: 0s - loss: 0.0918
225/241 [===========================>..] - ETA: 0s - loss: 0.0910
241/241 [==============================] - 0s 2ms/step - loss: 0.0911
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0279
30/241 [==>...........................] - ETA: 0s - loss: 0.0805
63/241 [======>.......................] - ETA: 0s - loss: 0.0813
98/241 [===========>..................] - ETA: 0s - loss: 0.0777
128/241 [==============>...............] - ETA: 0s - loss: 0.0783
152/241 [=================>............] - ETA: 0s - loss: 0.0807
178/241 [=====================>........] - ETA: 0s - loss: 0.0861
202/241 [========================>.....] - ETA: 0s - loss: 0.0888
224/241 [==========================>...] - ETA: 0s - loss: 0.0855
241/241 [==============================] - 0s 2ms/step - loss: 0.0854
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0640
28/241 [==>...........................] - ETA: 0s - loss: 0.0827
50/241 [=====>........................] - ETA: 0s - loss: 0.0815
71/241 [=======>......................] - ETA: 0s - loss: 0.0866
90/241 [==========>...................] - ETA: 0s - loss: 0.0848
108/241 [============>.................] - ETA: 0s - loss: 0.0890
127/241 [==============>...............] - ETA: 0s - loss: 0.0914
146/241 [=================>............] - ETA: 0s - loss: 0.0954
161/241 [===================>..........] - ETA: 0s - loss: 0.0929
177/241 [=====================>........] - ETA: 0s - loss: 0.0922
194/241 [=======================>......] - ETA: 0s - loss: 0.0903
211/241 [=========================>....] - ETA: 0s - loss: 0.0902
228/241 [===========================>..] - ETA: 0s - loss: 0.0878
241/241 [==============================] - 1s 3ms/step - loss: 0.0871
- -> test with GAN.predict
- GAN tn, fp: 568, 35
- GAN fn, tp: 6, 25
- GAN f1 score: 0.549
- GAN cohens kappa score: 0.518
- -> test with 'LR'
- LR tn, fp: 521, 82
- LR fn, tp: 6, 25
- LR f1 score: 0.362
- LR cohens kappa score: 0.310
- LR average precision score: 0.441
- -> test with 'RF'
- RF tn, fp: 598, 5
- RF fn, tp: 8, 23
- RF f1 score: 0.780
- RF cohens kappa score: 0.769
- -> test with 'GB'
- GB tn, fp: 591, 12
- GB fn, tp: 6, 25
- GB f1 score: 0.735
- GB cohens kappa score: 0.720
- -> test with 'KNN'
- KNN tn, fp: 580, 23
- KNN fn, tp: 9, 22
- KNN f1 score: 0.579
- KNN cohens kappa score: 0.553
- ------ Step 5/5: Slice 2/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 58s - loss: 0.0511
36/241 [===>..........................] - ETA: 0s - loss: 0.0696
76/241 [========>.....................] - ETA: 0s - loss: 0.0691
104/241 [===========>..................] - ETA: 0s - loss: 0.0634
136/241 [===============>..............] - ETA: 0s - loss: 0.0666
169/241 [====================>.........] - ETA: 0s - loss: 0.0674
203/241 [========================>.....] - ETA: 0s - loss: 0.0693
238/241 [============================>.] - ETA: 0s - loss: 0.0678
241/241 [==============================] - 1s 2ms/step - loss: 0.0678
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0133
43/241 [====>.........................] - ETA: 0s - loss: 0.0549
79/241 [========>.....................] - ETA: 0s - loss: 0.0587
115/241 [=============>................] - ETA: 0s - loss: 0.0550
151/241 [=================>............] - ETA: 0s - loss: 0.0629
189/241 [======================>.......] - ETA: 0s - loss: 0.0623
224/241 [==========================>...] - ETA: 0s - loss: 0.0629
241/241 [==============================] - 0s 1ms/step - loss: 0.0621
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0640
35/241 [===>..........................] - ETA: 0s - loss: 0.0825
69/241 [=======>......................] - ETA: 0s - loss: 0.0697
104/241 [===========>..................] - ETA: 0s - loss: 0.0584
137/241 [================>.............] - ETA: 0s - loss: 0.0579
172/241 [====================>.........] - ETA: 0s - loss: 0.0563
201/241 [========================>.....] - ETA: 0s - loss: 0.0580
236/241 [============================>.] - ETA: 0s - loss: 0.0600
241/241 [==============================] - 0s 2ms/step - loss: 0.0595
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.4265
32/241 [==>...........................] - ETA: 0s - loss: 0.0528
65/241 [=======>......................] - ETA: 0s - loss: 0.0553
100/241 [===========>..................] - ETA: 0s - loss: 0.0513
134/241 [===============>..............] - ETA: 0s - loss: 0.0511
169/241 [====================>.........] - ETA: 0s - loss: 0.0547
204/241 [========================>.....] - ETA: 0s - loss: 0.0590
239/241 [============================>.] - ETA: 0s - loss: 0.0611
241/241 [==============================] - 0s 1ms/step - loss: 0.0609
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0215
36/241 [===>..........................] - ETA: 0s - loss: 0.0643
71/241 [=======>......................] - ETA: 0s - loss: 0.0535
109/241 [============>.................] - ETA: 0s - loss: 0.0498
143/241 [================>.............] - ETA: 0s - loss: 0.0560
177/241 [=====================>........] - ETA: 0s - loss: 0.0571
208/241 [========================>.....] - ETA: 0s - loss: 0.0606
241/241 [==============================] - 0s 1ms/step - loss: 0.0606
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0811
38/241 [===>..........................] - ETA: 0s - loss: 0.0577
76/241 [========>.....................] - ETA: 0s - loss: 0.0609
114/241 [=============>................] - ETA: 0s - loss: 0.0549
147/241 [=================>............] - ETA: 0s - loss: 0.0557
184/241 [=====================>........] - ETA: 0s - loss: 0.0562
225/241 [===========================>..] - ETA: 0s - loss: 0.0561
241/241 [==============================] - 0s 1ms/step - loss: 0.0555
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0510
28/241 [==>...........................] - ETA: 0s - loss: 0.0419
64/241 [======>.......................] - ETA: 0s - loss: 0.0432
100/241 [===========>..................] - ETA: 0s - loss: 0.0513
137/241 [================>.............] - ETA: 0s - loss: 0.0493
172/241 [====================>.........] - ETA: 0s - loss: 0.0515
208/241 [========================>.....] - ETA: 0s - loss: 0.0508
241/241 [==============================] - 0s 1ms/step - loss: 0.0517
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1790
36/241 [===>..........................] - ETA: 0s - loss: 0.0544
71/241 [=======>......................] - ETA: 0s - loss: 0.0625
104/241 [===========>..................] - ETA: 0s - loss: 0.0642
140/241 [================>.............] - ETA: 0s - loss: 0.0615
174/241 [====================>.........] - ETA: 0s - loss: 0.0562
205/241 [========================>.....] - ETA: 0s - loss: 0.0527
238/241 [============================>.] - ETA: 0s - loss: 0.0515
241/241 [==============================] - 0s 2ms/step - loss: 0.0513
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2925
36/241 [===>..........................] - ETA: 0s - loss: 0.0594
70/241 [=======>......................] - ETA: 0s - loss: 0.0575
104/241 [===========>..................] - ETA: 0s - loss: 0.0480
143/241 [================>.............] - ETA: 0s - loss: 0.0490
179/241 [=====================>........] - ETA: 0s - loss: 0.0508
210/241 [=========================>....] - ETA: 0s - loss: 0.0499
239/241 [============================>.] - ETA: 0s - loss: 0.0513
241/241 [==============================] - 0s 1ms/step - loss: 0.0520
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0502
32/241 [==>...........................] - ETA: 0s - loss: 0.0371
64/241 [======>.......................] - ETA: 0s - loss: 0.0583
99/241 [===========>..................] - ETA: 0s - loss: 0.0515
134/241 [===============>..............] - ETA: 0s - loss: 0.0519
167/241 [===================>..........] - ETA: 0s - loss: 0.0538
200/241 [=======================>......] - ETA: 0s - loss: 0.0547
233/241 [============================>.] - ETA: 0s - loss: 0.0538
241/241 [==============================] - 0s 2ms/step - loss: 0.0534
- -> test with GAN.predict
- GAN tn, fp: 587, 16
- GAN fn, tp: 10, 21
- GAN f1 score: 0.618
- GAN cohens kappa score: 0.596
- -> test with 'LR'
- LR tn, fp: 531, 72
- LR fn, tp: 6, 25
- LR f1 score: 0.391
- LR cohens kappa score: 0.342
- LR average precision score: 0.517
- -> test with 'RF'
- RF tn, fp: 601, 2
- RF fn, tp: 9, 22
- RF f1 score: 0.800
- RF cohens kappa score: 0.791
- -> test with 'GB'
- GB tn, fp: 597, 6
- GB fn, tp: 6, 25
- GB f1 score: 0.806
- GB cohens kappa score: 0.797
- -> test with 'KNN'
- KNN tn, fp: 573, 30
- KNN fn, tp: 6, 25
- KNN f1 score: 0.581
- KNN cohens kappa score: 0.553
- ------ Step 5/5: Slice 3/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 50s - loss: 0.0933
34/241 [===>..........................] - ETA: 0s - loss: 0.0973
66/241 [=======>......................] - ETA: 0s - loss: 0.0816
98/241 [===========>..................] - ETA: 0s - loss: 0.0823
110/241 [============>.................] - ETA: 0s - loss: 0.0878
138/241 [================>.............] - ETA: 0s - loss: 0.0888
172/241 [====================>.........] - ETA: 0s - loss: 0.0837
206/241 [========================>.....] - ETA: 0s - loss: 0.0824
239/241 [============================>.] - ETA: 0s - loss: 0.0805
241/241 [==============================] - 1s 2ms/step - loss: 0.0800
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0105
31/241 [==>...........................] - ETA: 0s - loss: 0.0714
43/241 [====>.........................] - ETA: 0s - loss: 0.0732
76/241 [========>.....................] - ETA: 0s - loss: 0.0756
107/241 [============>.................] - ETA: 0s - loss: 0.0746
142/241 [================>.............] - ETA: 0s - loss: 0.0709
174/241 [====================>.........] - ETA: 0s - loss: 0.0729
187/241 [======================>.......] - ETA: 0s - loss: 0.0728
214/241 [=========================>....] - ETA: 0s - loss: 0.0769
241/241 [==============================] - 0s 2ms/step - loss: 0.0799
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0238
36/241 [===>..........................] - ETA: 0s - loss: 0.0812
70/241 [=======>......................] - ETA: 0s - loss: 0.0747
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107/241 [============>.................] - ETA: 0s - loss: 0.0710
137/241 [================>.............] - ETA: 0s - loss: 0.0667
171/241 [====================>.........] - ETA: 0s - loss: 0.0694
207/241 [========================>.....] - ETA: 0s - loss: 0.0734
239/241 [============================>.] - ETA: 0s - loss: 0.0769
241/241 [==============================] - 0s 2ms/step - loss: 0.0769
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1169
15/241 [>.............................] - ETA: 1s - loss: 0.0708
40/241 [===>..........................] - ETA: 0s - loss: 0.0743
68/241 [=======>......................] - ETA: 0s - loss: 0.0825
102/241 [===========>..................] - ETA: 0s - loss: 0.0797
137/241 [================>.............] - ETA: 0s - loss: 0.0777
169/241 [====================>.........] - ETA: 0s - loss: 0.0776
179/241 [=====================>........] - ETA: 0s - loss: 0.0762
209/241 [=========================>....] - ETA: 0s - loss: 0.0746
241/241 [==============================] - 0s 2ms/step - loss: 0.0775
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0327
35/241 [===>..........................] - ETA: 0s - loss: 0.0890
67/241 [=======>......................] - ETA: 0s - loss: 0.0844
85/241 [=========>....................] - ETA: 0s - loss: 0.0795
108/241 [============>.................] - ETA: 0s - loss: 0.0748
139/241 [================>.............] - ETA: 0s - loss: 0.0739
173/241 [====================>.........] - ETA: 0s - loss: 0.0754
207/241 [========================>.....] - ETA: 0s - loss: 0.0755
231/241 [===========================>..] - ETA: 0s - loss: 0.0719
241/241 [==============================] - 0s 2ms/step - loss: 0.0744
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0263
37/241 [===>..........................] - ETA: 0s - loss: 0.0868
73/241 [========>.....................] - ETA: 0s - loss: 0.0855
105/241 [============>.................] - ETA: 0s - loss: 0.0915
137/241 [================>.............] - ETA: 0s - loss: 0.0903
152/241 [=================>............] - ETA: 0s - loss: 0.0888
183/241 [=====================>........] - ETA: 0s - loss: 0.0801
214/241 [=========================>....] - ETA: 0s - loss: 0.0774
241/241 [==============================] - 0s 2ms/step - loss: 0.0763
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0521
29/241 [==>...........................] - ETA: 0s - loss: 0.0627
47/241 [====>.........................] - ETA: 0s - loss: 0.0627
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59/241 [======>.......................] - ETA: 0s - loss: 0.0637
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109/241 [============>.................] - ETA: 0s - loss: 0.0694
141/241 [================>.............] - ETA: 0s - loss: 0.0706
167/241 [===================>..........] - ETA: 0s - loss: 0.0708
191/241 [======================>.......] - ETA: 0s - loss: 0.0717
213/241 [=========================>....] - ETA: 0s - loss: 0.0703
238/241 [============================>.] - ETA: 0s - loss: 0.0723
241/241 [==============================] - 1s 3ms/step - loss: 0.0727
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0571
23/241 [=>............................] - ETA: 0s - loss: 0.0760
49/241 [=====>........................] - ETA: 0s - loss: 0.0756
69/241 [=======>......................] - ETA: 0s - loss: 0.0784
81/241 [=========>....................] - ETA: 0s - loss: 0.0773
96/241 [==========>...................] - ETA: 0s - loss: 0.0772
111/241 [============>.................] - ETA: 0s - loss: 0.0754
126/241 [==============>...............] - ETA: 0s - loss: 0.0703
142/241 [================>.............] - ETA: 0s - loss: 0.0717
164/241 [===================>..........] - ETA: 0s - loss: 0.0771
182/241 [=====================>........] - ETA: 0s - loss: 0.0791
197/241 [=======================>......] - ETA: 0s - loss: 0.0772
212/241 [=========================>....] - ETA: 0s - loss: 0.0752
226/241 [===========================>..] - ETA: 0s - loss: 0.0740
241/241 [==============================] - 1s 3ms/step - loss: 0.0752
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0151
18/241 [=>............................] - ETA: 0s - loss: 0.0444
35/241 [===>..........................] - ETA: 0s - loss: 0.0498
52/241 [=====>........................] - ETA: 0s - loss: 0.0533
69/241 [=======>......................] - ETA: 0s - loss: 0.0610
87/241 [=========>....................] - ETA: 0s - loss: 0.0614
108/241 [============>.................] - ETA: 0s - loss: 0.0633
126/241 [==============>...............] - ETA: 0s - loss: 0.0622
137/241 [================>.............] - ETA: 0s - loss: 0.0639
153/241 [==================>...........] - ETA: 0s - loss: 0.0628
177/241 [=====================>........] - ETA: 0s - loss: 0.0624
204/241 [========================>.....] - ETA: 0s - loss: 0.0657
220/241 [==========================>...] - ETA: 0s - loss: 0.0674
241/241 [==============================] - 1s 3ms/step - loss: 0.0678
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0265
23/241 [=>............................] - ETA: 0s - loss: 0.0713
40/241 [===>..........................] - ETA: 0s - loss: 0.0620
52/241 [=====>........................] - ETA: 0s - loss: 0.0644
71/241 [=======>......................] - ETA: 0s - loss: 0.0593
101/241 [===========>..................] - ETA: 0s - loss: 0.0633
128/241 [==============>...............] - ETA: 0s - loss: 0.0623
150/241 [=================>............] - ETA: 0s - loss: 0.0610
175/241 [====================>.........] - ETA: 0s - loss: 0.0662
183/241 [=====================>........] - ETA: 0s - loss: 0.0663
203/241 [========================>.....] - ETA: 0s - loss: 0.0690
231/241 [===========================>..] - ETA: 0s - loss: 0.0662
241/241 [==============================] - 1s 3ms/step - loss: 0.0658
- -> test with GAN.predict
- GAN tn, fp: 592, 11
- GAN fn, tp: 9, 22
- GAN f1 score: 0.688
- GAN cohens kappa score: 0.671
- -> test with 'LR'
- LR tn, fp: 504, 99
- LR fn, tp: 2, 29
- LR f1 score: 0.365
- LR cohens kappa score: 0.310
- LR average precision score: 0.508
- -> test with 'RF'
- RF tn, fp: 598, 5
- RF fn, tp: 11, 20
- RF f1 score: 0.714
- RF cohens kappa score: 0.701
- -> test with 'GB'
- GB tn, fp: 591, 12
- GB fn, tp: 7, 24
- GB f1 score: 0.716
- GB cohens kappa score: 0.701
- -> test with 'KNN'
- KNN tn, fp: 574, 29
- KNN fn, tp: 7, 24
- KNN f1 score: 0.571
- KNN cohens kappa score: 0.543
- ------ Step 5/5: Slice 4/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2289 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/241 [..............................] - ETA: 43s - loss: 0.1518
42/241 [====>.........................] - ETA: 0s - loss: 0.1145
82/241 [=========>....................] - ETA: 0s - loss: 0.1088
121/241 [==============>...............] - ETA: 0s - loss: 0.1066
160/241 [==================>...........] - ETA: 0s - loss: 0.1090
199/241 [=======================>......] - ETA: 0s - loss: 0.1062
237/241 [============================>.] - ETA: 0s - loss: 0.1021
241/241 [==============================] - 0s 1ms/step - loss: 0.1024
- Epoch 2/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2768
40/241 [===>..........................] - ETA: 0s - loss: 0.0979
80/241 [========>.....................] - ETA: 0s - loss: 0.1026
122/241 [==============>...............] - ETA: 0s - loss: 0.1009
162/241 [===================>..........] - ETA: 0s - loss: 0.1054
201/241 [========================>.....] - ETA: 0s - loss: 0.1017
239/241 [============================>.] - ETA: 0s - loss: 0.0962
241/241 [==============================] - 0s 1ms/step - loss: 0.0963
- Epoch 3/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0979
42/241 [====>.........................] - ETA: 0s - loss: 0.0791
82/241 [=========>....................] - ETA: 0s - loss: 0.0776
120/241 [=============>................] - ETA: 0s - loss: 0.0773
160/241 [==================>...........] - ETA: 0s - loss: 0.0903
199/241 [=======================>......] - ETA: 0s - loss: 0.0897
239/241 [============================>.] - ETA: 0s - loss: 0.0908
241/241 [==============================] - 0s 1ms/step - loss: 0.0903
- Epoch 4/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0272
40/241 [===>..........................] - ETA: 0s - loss: 0.1048
81/241 [=========>....................] - ETA: 0s - loss: 0.0976
119/241 [=============>................] - ETA: 0s - loss: 0.0942
153/241 [==================>...........] - ETA: 0s - loss: 0.0925
181/241 [=====================>........] - ETA: 0s - loss: 0.0893
212/241 [=========================>....] - ETA: 0s - loss: 0.0897
241/241 [==============================] - 0s 1ms/step - loss: 0.0887
- Epoch 5/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2249
30/241 [==>...........................] - ETA: 0s - loss: 0.1090
58/241 [======>.......................] - ETA: 0s - loss: 0.0963
98/241 [===========>..................] - ETA: 0s - loss: 0.0916
137/241 [================>.............] - ETA: 0s - loss: 0.0877
177/241 [=====================>........] - ETA: 0s - loss: 0.0873
213/241 [=========================>....] - ETA: 0s - loss: 0.0854
241/241 [==============================] - 0s 1ms/step - loss: 0.0879
- Epoch 6/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0984
40/241 [===>..........................] - ETA: 0s - loss: 0.0925
79/241 [========>.....................] - ETA: 0s - loss: 0.0759
119/241 [=============>................] - ETA: 0s - loss: 0.0802
157/241 [==================>...........] - ETA: 0s - loss: 0.0835
199/241 [=======================>......] - ETA: 0s - loss: 0.0864
237/241 [============================>.] - ETA: 0s - loss: 0.0841
241/241 [==============================] - 0s 1ms/step - loss: 0.0842
- Epoch 7/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0463
40/241 [===>..........................] - ETA: 0s - loss: 0.0612
80/241 [========>.....................] - ETA: 0s - loss: 0.0755
120/241 [=============>................] - ETA: 0s - loss: 0.0859
161/241 [===================>..........] - ETA: 0s - loss: 0.0816
201/241 [========================>.....] - ETA: 0s - loss: 0.0811
241/241 [==============================] - ETA: 0s - loss: 0.0832
241/241 [==============================] - 0s 1ms/step - loss: 0.0832
- Epoch 8/10
-
1/241 [..............................] - ETA: 0s - loss: 0.2504
40/241 [===>..........................] - ETA: 0s - loss: 0.0866
80/241 [========>.....................] - ETA: 0s - loss: 0.0831
121/241 [==============>...............] - ETA: 0s - loss: 0.0804
161/241 [===================>..........] - ETA: 0s - loss: 0.0852
197/241 [=======================>......] - ETA: 0s - loss: 0.0850
235/241 [============================>.] - ETA: 0s - loss: 0.0830
241/241 [==============================] - 0s 1ms/step - loss: 0.0818
- Epoch 9/10
-
1/241 [..............................] - ETA: 0s - loss: 0.0475
39/241 [===>..........................] - ETA: 0s - loss: 0.0758
77/241 [========>.....................] - ETA: 0s - loss: 0.0697
117/241 [=============>................] - ETA: 0s - loss: 0.0761
153/241 [==================>...........] - ETA: 0s - loss: 0.0814
190/241 [======================>.......] - ETA: 0s - loss: 0.0791
228/241 [===========================>..] - ETA: 0s - loss: 0.0792
241/241 [==============================] - 0s 1ms/step - loss: 0.0791
- Epoch 10/10
-
1/241 [..............................] - ETA: 0s - loss: 0.1390
38/241 [===>..........................] - ETA: 0s - loss: 0.0740
73/241 [========>.....................] - ETA: 0s - loss: 0.0769
109/241 [============>.................] - ETA: 0s - loss: 0.0823
145/241 [=================>............] - ETA: 0s - loss: 0.0850
180/241 [=====================>........] - ETA: 0s - loss: 0.0826
212/241 [=========================>....] - ETA: 0s - loss: 0.0801
241/241 [==============================] - 0s 1ms/step - loss: 0.0774
- -> test with GAN.predict
- GAN tn, fp: 577, 26
- GAN fn, tp: 5, 26
- GAN f1 score: 0.627
- GAN cohens kappa score: 0.602
- -> test with 'LR'
- LR tn, fp: 508, 95
- LR fn, tp: 4, 27
- LR f1 score: 0.353
- LR cohens kappa score: 0.298
- LR average precision score: 0.588
- -> test with 'RF'
- RF tn, fp: 598, 5
- RF fn, tp: 7, 24
- RF f1 score: 0.800
- RF cohens kappa score: 0.790
- -> test with 'GB'
- GB tn, fp: 596, 7
- GB fn, tp: 2, 29
- GB f1 score: 0.866
- GB cohens kappa score: 0.858
- -> test with 'KNN'
- KNN tn, fp: 576, 27
- KNN fn, tp: 7, 24
- KNN f1 score: 0.585
- KNN cohens kappa score: 0.559
- ------ Step 5/5: Slice 5/5 -------
- -> Reset the GAN
- -> Train generator for synthetic samples
- -> create 2288 synthetic samples
- -> retrain GAN for predict
- Epoch 1/10
-
1/242 [..............................] - ETA: 55s - loss: 0.2084
34/242 [===>..........................] - ETA: 0s - loss: 0.0999
69/242 [=======>......................] - ETA: 0s - loss: 0.1015
105/242 [============>.................] - ETA: 0s - loss: 0.1003
141/242 [================>.............] - ETA: 0s - loss: 0.1019
175/242 [====================>.........] - ETA: 0s - loss: 0.1064
209/242 [========================>.....] - ETA: 0s - loss: 0.1044
241/242 [============================>.] - ETA: 0s - loss: 0.1009
242/242 [==============================] - 1s 1ms/step - loss: 0.1008
- Epoch 2/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0460
35/242 [===>..........................] - ETA: 0s - loss: 0.0951
67/242 [=======>......................] - ETA: 0s - loss: 0.0847
97/242 [===========>..................] - ETA: 0s - loss: 0.0892
126/242 [==============>...............] - ETA: 0s - loss: 0.0915
163/242 [===================>..........] - ETA: 0s - loss: 0.0911
198/242 [=======================>......] - ETA: 0s - loss: 0.0910
232/242 [===========================>..] - ETA: 0s - loss: 0.0929
242/242 [==============================] - 0s 2ms/step - loss: 0.0919
- Epoch 3/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0267
35/242 [===>..........................] - ETA: 0s - loss: 0.0762
68/242 [=======>......................] - ETA: 0s - loss: 0.0866
104/242 [===========>..................] - ETA: 0s - loss: 0.0883
140/242 [================>.............] - ETA: 0s - loss: 0.0875
174/242 [====================>.........] - ETA: 0s - loss: 0.0878
210/242 [=========================>....] - ETA: 0s - loss: 0.0862
242/242 [==============================] - 0s 1ms/step - loss: 0.0869
- Epoch 4/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0346
40/242 [===>..........................] - ETA: 0s - loss: 0.0901
74/242 [========>.....................] - ETA: 0s - loss: 0.0869
110/242 [============>.................] - ETA: 0s - loss: 0.0911
144/242 [================>.............] - ETA: 0s - loss: 0.0848
179/242 [=====================>........] - ETA: 0s - loss: 0.0857
211/242 [=========================>....] - ETA: 0s - loss: 0.0855
242/242 [==============================] - 0s 1ms/step - loss: 0.0862
- Epoch 5/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0424
36/242 [===>..........................] - ETA: 0s - loss: 0.1150
68/242 [=======>......................] - ETA: 0s - loss: 0.1023
104/242 [===========>..................] - ETA: 0s - loss: 0.0965
139/242 [================>.............] - ETA: 0s - loss: 0.0911
171/242 [====================>.........] - ETA: 0s - loss: 0.0897
205/242 [========================>.....] - ETA: 0s - loss: 0.0924
236/242 [============================>.] - ETA: 0s - loss: 0.0886
242/242 [==============================] - 0s 2ms/step - loss: 0.0886
- Epoch 6/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0678
36/242 [===>..........................] - ETA: 0s - loss: 0.0800
75/242 [========>.....................] - ETA: 0s - loss: 0.0724
111/242 [============>.................] - ETA: 0s - loss: 0.0740
144/242 [================>.............] - ETA: 0s - loss: 0.0800
178/242 [=====================>........] - ETA: 0s - loss: 0.0888
215/242 [=========================>....] - ETA: 0s - loss: 0.0900
242/242 [==============================] - 0s 1ms/step - loss: 0.0900
- Epoch 7/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0111
34/242 [===>..........................] - ETA: 0s - loss: 0.0751
71/242 [=======>......................] - ETA: 0s - loss: 0.0753
105/242 [============>.................] - ETA: 0s - loss: 0.0845
138/242 [================>.............] - ETA: 0s - loss: 0.0911
171/242 [====================>.........] - ETA: 0s - loss: 0.0926
205/242 [========================>.....] - ETA: 0s - loss: 0.0923
238/242 [============================>.] - ETA: 0s - loss: 0.0907
242/242 [==============================] - 0s 2ms/step - loss: 0.0902
- Epoch 8/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0264
35/242 [===>..........................] - ETA: 0s - loss: 0.0923
69/242 [=======>......................] - ETA: 0s - loss: 0.0918
103/242 [===========>..................] - ETA: 0s - loss: 0.0888
138/242 [================>.............] - ETA: 0s - loss: 0.0781
175/242 [====================>.........] - ETA: 0s - loss: 0.0788
206/242 [========================>.....] - ETA: 0s - loss: 0.0800
240/242 [============================>.] - ETA: 0s - loss: 0.0779
242/242 [==============================] - 0s 1ms/step - loss: 0.0776
- Epoch 9/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0751
34/242 [===>..........................] - ETA: 0s - loss: 0.0577
69/242 [=======>......................] - ETA: 0s - loss: 0.0539
105/242 [============>.................] - ETA: 0s - loss: 0.0610
139/242 [================>.............] - ETA: 0s - loss: 0.0678
175/242 [====================>.........] - ETA: 0s - loss: 0.0694
209/242 [========================>.....] - ETA: 0s - loss: 0.0758
242/242 [==============================] - 0s 1ms/step - loss: 0.0759
- Epoch 10/10
-
1/242 [..............................] - ETA: 0s - loss: 0.0267
35/242 [===>..........................] - ETA: 0s - loss: 0.0838
70/242 [=======>......................] - ETA: 0s - loss: 0.0905
105/242 [============>.................] - ETA: 0s - loss: 0.0897
144/242 [================>.............] - ETA: 0s - loss: 0.0815
179/242 [=====================>........] - ETA: 0s - loss: 0.0814
214/242 [=========================>....] - ETA: 0s - loss: 0.0799
242/242 [==============================] - 0s 1ms/step - loss: 0.0803
- -> test with GAN.predict
- GAN tn, fp: 582, 18
- GAN fn, tp: 7, 20
- GAN f1 score: 0.615
- GAN cohens kappa score: 0.595
- -> test with 'LR'
- LR tn, fp: 525, 75
- LR fn, tp: 5, 22
- LR f1 score: 0.355
- LR cohens kappa score: 0.308
- LR average precision score: 0.317
- -> test with 'RF'
- RF tn, fp: 593, 7
- RF fn, tp: 9, 18
- RF f1 score: 0.692
- RF cohens kappa score: 0.679
- -> test with 'GB'
- GB tn, fp: 591, 9
- GB fn, tp: 6, 21
- GB f1 score: 0.737
- GB cohens kappa score: 0.724
- -> test with 'KNN'
- KNN tn, fp: 567, 33
- KNN fn, tp: 4, 23
- KNN f1 score: 0.554
- KNN cohens kappa score: 0.527
- ### Exercise is done.
- -----[ LR ]-----
- maximum:
- LR tn, fp: 537, 106
- LR fn, tp: 10, 30
- LR f1 score: 0.410
- LR cohens kappa score: 0.363
- LR average precision score: 0.588
- average:
- LR tn, fp: 516.08, 86.32
- LR fn, tp: 4.36, 25.84
- LR f1 score: 0.363
- LR cohens kappa score: 0.312
- LR average precision score: 0.449
- minimum:
- LR tn, fp: 496, 66
- LR fn, tp: 1, 20
- LR f1 score: 0.315
- LR cohens kappa score: 0.265
- LR average precision score: 0.275
- -----[ RF ]-----
- maximum:
- RF tn, fp: 601, 9
- RF fn, tp: 13, 28
- RF f1 score: 0.903
- RF cohens kappa score: 0.898
- average:
- RF tn, fp: 597.24, 5.16
- RF fn, tp: 7.4, 22.8
- RF f1 score: 0.782
- RF cohens kappa score: 0.772
- minimum:
- RF tn, fp: 593, 2
- RF fn, tp: 3, 18
- RF f1 score: 0.667
- RF cohens kappa score: 0.650
- -----[ GB ]-----
- maximum:
- GB tn, fp: 601, 17
- GB fn, tp: 7, 30
- GB f1 score: 0.882
- GB cohens kappa score: 0.876
- average:
- GB tn, fp: 592.8, 9.6
- GB fn, tp: 4.4, 25.8
- GB f1 score: 0.789
- GB cohens kappa score: 0.777
- minimum:
- GB tn, fp: 586, 2
- GB fn, tp: 1, 21
- GB f1 score: 0.716
- GB cohens kappa score: 0.701
- -----[ KNN ]-----
- maximum:
- KNN tn, fp: 582, 36
- KNN fn, tp: 11, 27
- KNN f1 score: 0.676
- KNN cohens kappa score: 0.658
- average:
- KNN tn, fp: 573.4, 29.0
- KNN fn, tp: 6.32, 23.88
- KNN f1 score: 0.576
- KNN cohens kappa score: 0.548
- minimum:
- KNN tn, fp: 564, 20
- KNN fn, tp: 3, 20
- KNN f1 score: 0.500
- KNN cohens kappa score: 0.469
- -----[ GAN ]-----
- maximum:
- GAN tn, fp: 595, 38
- GAN fn, tp: 10, 29
- GAN f1 score: 0.750
- GAN cohens kappa score: 0.737
- average:
- GAN tn, fp: 579.52, 22.88
- GAN fn, tp: 6.24, 23.96
- GAN f1 score: 0.627
- GAN cohens kappa score: 0.604
- minimum:
- GAN tn, fp: 565, 8
- GAN fn, tp: 1, 20
- GAN f1 score: 0.545
- GAN cohens kappa score: 0.515
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