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  1. .gitattributes +5 -0
  2. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/HELMINTHS_BINARY_EfficientNetB0_Round1.keras +3 -0
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  11. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/classification_metrics.txt +12 -0
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  18. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/HELMINTHS_BINARY_EfficientNetB0_Round3.keras +3 -0
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  25. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_validation_metrics.txt +182 -0
  26. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/HELMINTHS_BINARY_EfficientNetB0_Round4.keras +3 -0
  27. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/classification_metrics.txt +12 -0
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  33. EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_validation_metrics.txt +182 -0
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+ Precision: 1.0000
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+ Training and Validation Metrics Per Epoch
2
+ ==================================================
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+ Epoch 1
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+ Training Accuracy: 0.9870
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0417
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+ Validation Loss: 0.0025
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0016
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+ Validation Loss: 0.0018
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+ --------------------------------------------------
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+ Validation Accuracy: 1.0000
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+ Validation Loss: 0.0005
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+ --------------------------------------------------
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+ --------------------------------------------------
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+ Training Accuracy: 0.9999
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+ Validation Loss: 0.0007
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+ --------------------------------------------------
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0009
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+ --------------------------------------------------
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0007
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9994
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0018
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+ --------------------------------------------------
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+ Training Accuracy: 0.9998
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+ Validation Loss: 0.0010
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+ Validation Loss: 0.0013
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+ Validation Loss: 0.0009
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+ Training Accuracy: 0.9999
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+ --------------------------------------------------
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+ Training Loss: 0.0002
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1
+ Training and Validation Metrics Per Epoch
2
+ ==================================================
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+ Epoch 1
4
+ Training Accuracy: 0.9859
5
+ Validation Accuracy: 0.9991
6
+ Training Loss: 0.0462
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+ Validation Loss: 0.0062
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+ --------------------------------------------------
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+ Epoch 2
10
+ Training Accuracy: 0.9987
11
+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0062
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+ Validation Loss: 0.0020
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+ --------------------------------------------------
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16
+ Training Accuracy: 0.9994
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0033
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+ Validation Loss: 0.0013
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+ --------------------------------------------------
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+ Training Accuracy: 0.9996
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0023
25
+ Validation Loss: 0.0007
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+ --------------------------------------------------
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+ Epoch 5
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+ Training Accuracy: 0.9997
29
+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0014
31
+ Validation Loss: 0.0013
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+ --------------------------------------------------
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0008
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0013
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+ Validation Loss: 0.0009
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0006
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0004
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0008
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0005
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0013
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+ --------------------------------------------------
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9997
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+ Validation Loss: 0.0004
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0009
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+ --------------------------------------------------
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0002
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9991
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0024
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0007
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Validation Loss: 0.0004
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0012
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0009
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0004
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+ --------------------------------------------------
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+ Validation Accuracy: 1.0000
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+ Validation Loss: 0.0001
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+ --------------------------------------------------
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+ Epoch 23
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0004
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+ --------------------------------------------------
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+ Epoch 24
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0004
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+ --------------------------------------------------
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+ Epoch 25
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0008
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+ Validation Accuracy: 1.0000
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+ Validation Loss: 0.0001
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+ --------------------------------------------------
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+ Epoch 27
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+ --------------------------------------------------
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+ Validation Loss: 0.0007
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+ --------------------------------------------------
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+ Validation Loss: 0.0006
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+ Validation Loss: 0.0003
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+ --------------------------------------------------
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0006
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  AUC: 1.0000
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- Balanced Accuracy: 0.9976
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- Jaccard Index: 0.9951
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- Log Loss: 0.0012
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- F0.5-Score: 0.9990
 
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9828
5
- Validation Accuracy: 0.9941
6
- Training Loss: 0.0483
7
- Validation Loss: 0.0155
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  --------------------------------------------------
9
  Epoch 2
10
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11
- Validation Accuracy: 0.9967
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- Training Loss: 0.0071
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- Validation Loss: 0.0075
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  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9993
17
- Validation Accuracy: 0.9987
18
- Training Loss: 0.0039
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- Validation Loss: 0.0042
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  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9996
23
- Validation Accuracy: 0.9990
24
- Training Loss: 0.0022
25
- Validation Loss: 0.0026
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  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9997
29
- Validation Accuracy: 0.9987
30
- Training Loss: 0.0014
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- Validation Loss: 0.0031
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  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9998
35
- Validation Accuracy: 0.9990
36
- Training Loss: 0.0012
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- Validation Loss: 0.0022
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  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9997
41
- Validation Accuracy: 0.9990
42
- Training Loss: 0.0013
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- Validation Loss: 0.0030
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  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9990
48
- Training Loss: 0.0007
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- Validation Loss: 0.0018
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9997
53
- Validation Accuracy: 0.9990
54
- Training Loss: 0.0007
55
- Validation Loss: 0.0021
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9993
60
- Training Loss: 0.0005
61
- Validation Loss: 0.0014
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  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9996
65
- Validation Accuracy: 0.9997
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- Training Loss: 0.0007
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- Validation Loss: 0.0010
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  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9997
71
- Validation Accuracy: 1.0000
72
- Training Loss: 0.0007
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- Validation Loss: 0.0008
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  --------------------------------------------------
75
  Epoch 13
76
  Training Accuracy: 0.9999
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- Validation Accuracy: 0.9990
78
- Training Loss: 0.0004
79
- Validation Loss: 0.0024
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  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0008
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  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 1.0000
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- Validation Accuracy: 1.0000
90
- Training Loss: 0.0002
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- Validation Loss: 0.0006
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  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
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- Validation Accuracy: 0.9987
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- Training Loss: 0.0005
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- Validation Loss: 0.0025
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  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0008
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  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
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- Validation Accuracy: 0.9993
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- Training Loss: 0.0001
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- Validation Loss: 0.0008
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  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9999
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- Validation Accuracy: 1.0000
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- Training Loss: 0.0004
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- Validation Loss: 0.0005
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  --------------------------------------------------
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  Epoch 20
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- Training Accuracy: 0.9998
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0005
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- Validation Loss: 0.0006
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  --------------------------------------------------
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  Epoch 21
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0004
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  --------------------------------------------------
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  Epoch 22
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0005
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  --------------------------------------------------
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  Epoch 23
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- Validation Accuracy: 0.9997
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- Training Loss: 0.0008
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- Validation Loss: 0.0009
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  --------------------------------------------------
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  Epoch 24
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0005
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  --------------------------------------------------
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  Epoch 25
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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- Validation Loss: 0.0006
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  --------------------------------------------------
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  Epoch 26
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0003
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  --------------------------------------------------
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  Epoch 27
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0000
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- Validation Loss: 0.0003
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  --------------------------------------------------
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  Epoch 28
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0000
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- Validation Loss: 0.0004
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  --------------------------------------------------
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  Epoch 29
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- Validation Loss: 0.0006
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  --------------------------------------------------
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  Epoch 30
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  Training Accuracy: 1.0000
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- Validation Accuracy: 0.9997
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  Training Loss: 0.0000
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- Validation Loss: 0.0005
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0160
7
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  --------------------------------------------------
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  Epoch 2
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  --------------------------------------------------
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  Epoch 3
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  --------------------------------------------------
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  Epoch 4
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0003
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  --------------------------------------------------
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  Epoch 5
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+ Validation Accuracy: 0.9999
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+ Training Loss: 0.0003
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  --------------------------------------------------
33
  Epoch 6
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0001
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  --------------------------------------------------
39
  Epoch 7
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+ Training Loss: 0.0002
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  --------------------------------------------------
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  Epoch 8
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+ Training Loss: 0.0001
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  --------------------------------------------------
51
  Epoch 9
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  --------------------------------------------------
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  Epoch 10
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  --------------------------------------------------
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  Epoch 11
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  --------------------------------------------------
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  Epoch 12
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+ Training Loss: 0.0002
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  --------------------------------------------------
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  Epoch 13
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  Training Accuracy: 0.9999
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  --------------------------------------------------
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  Epoch 14
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 15
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  Training Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 16
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  --------------------------------------------------
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  Epoch 17
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 18
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  --------------------------------------------------
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  Epoch 19
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  --------------------------------------------------
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  Epoch 20
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 21
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 22
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 23
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  --------------------------------------------------
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  Epoch 24
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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+ Validation Loss: 0.0000
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  --------------------------------------------------
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  Epoch 25
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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  --------------------------------------------------
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  Epoch 26
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0000
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  --------------------------------------------------
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  Epoch 28
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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  --------------------------------------------------
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  Epoch 29
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  Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9999
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+ Validation Loss: 0.0001
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  --------------------------------------------------
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  Epoch 30
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  Training Accuracy: 1.0000
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+ Validation Accuracy: 1.0000
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  Training Loss: 0.0000
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+ Validation Loss: 0.0000
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  --------------------------------------------------
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  AUC: 1.0000
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