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  1. .gitattributes +15 -0
  2. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/.ipynb_checkpoints/confusion_matrix-checkpoint.png +0 -0
  3. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/HELMINTHS_BINARY_ConvNeXtBase_Round1.keras +3 -0
  4. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/classification_metrics.txt +12 -0
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  9. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_loss.png +0 -0
  10. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round1/training_validation_metrics.txt +182 -0
  11. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/HELMINTHS_BINARY_ConvNeXtBase_Round2.keras +3 -0
  12. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/classification_metrics.txt +12 -0
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  15. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/testing_metrics.txt +3 -0
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  18. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round2/training_validation_metrics.txt +182 -0
  19. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/HELMINTHS_BINARY_ConvNeXtBase_Round3.keras +3 -0
  20. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/classification_metrics.txt +12 -0
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  22. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/roc_curve.png +0 -0
  23. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/testing_metrics.txt +3 -0
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  25. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_loss.png +0 -0
  26. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round3/training_validation_metrics.txt +182 -0
  27. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/HELMINTHS_BINARY_ConvNeXtBase_Round4.keras +3 -0
  28. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/classification_metrics.txt +12 -0
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  30. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/roc_curve.png +0 -0
  31. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/testing_metrics.txt +3 -0
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  33. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_loss.png +0 -0
  34. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round4/training_validation_metrics.txt +182 -0
  35. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/HELMINTHS_BINARY_ConvNeXtBase_Round5.keras +3 -0
  36. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/classification_metrics.txt +12 -0
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  42. ConvNeXtBase/HELMINTHS_BINARY_ConvNeXtBase_Round5/training_validation_metrics.txt +182 -0
  43. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/HELMINTHS_BINARY_ResNet50_Round1.keras +3 -0
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  49. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_loss.png +0 -0
  50. ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_validation_metrics.txt +182 -0
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+ AUC: 1.0000
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+ Training and Validation Metrics Per Epoch
2
+ ==================================================
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+ Epoch 1
4
+ Training Accuracy: 0.9839
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+ Validation Accuracy: 0.9918
6
+ Training Loss: 0.0600
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+ Validation Loss: 0.0267
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+ --------------------------------------------------
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+ Epoch 2
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+ Validation Accuracy: 0.9941
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+ Training Loss: 0.0136
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+ Validation Loss: 0.0165
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+ --------------------------------------------------
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+ Epoch 3
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+ Training Accuracy: 0.9984
17
+ Validation Accuracy: 0.9961
18
+ Training Loss: 0.0075
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+ Validation Loss: 0.0110
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+ --------------------------------------------------
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+ Epoch 4
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+ Training Accuracy: 0.9989
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+ Validation Accuracy: 0.9967
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+ Training Loss: 0.0050
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+ Validation Loss: 0.0082
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+ --------------------------------------------------
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+ Epoch 5
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+ Training Accuracy: 0.9992
29
+ Validation Accuracy: 0.9980
30
+ Training Loss: 0.0033
31
+ Validation Loss: 0.0058
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+ --------------------------------------------------
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+ Epoch 6
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+ Training Accuracy: 0.9994
35
+ Validation Accuracy: 0.9980
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+ Training Loss: 0.0024
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+ Validation Loss: 0.0053
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+ --------------------------------------------------
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+ Epoch 7
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+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9980
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+ Training Loss: 0.0019
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+ Validation Loss: 0.0039
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+ --------------------------------------------------
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+ Epoch 8
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+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9980
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+ Training Loss: 0.0015
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+ Validation Loss: 0.0042
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+ --------------------------------------------------
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+ Epoch 9
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+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0015
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+ Validation Loss: 0.0027
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+ --------------------------------------------------
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+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9987
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0027
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+ --------------------------------------------------
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9980
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0037
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+ --------------------------------------------------
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+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9984
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0028
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+ --------------------------------------------------
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+ Epoch 13
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9987
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0024
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+ --------------------------------------------------
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+ Epoch 14
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0008
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+ Validation Loss: 0.0016
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+ --------------------------------------------------
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+ Epoch 15
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9993
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0014
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+ --------------------------------------------------
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9993
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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: 1.0000
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+ Validation Accuracy: 0.9990
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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: 0.9997
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0008
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+ Validation Loss: 0.0010
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+ --------------------------------------------------
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9993
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0015
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+ --------------------------------------------------
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0003
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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: 1.0000
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+ Training Loss: 0.0004
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+ Validation Loss: 0.0007
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+ --------------------------------------------------
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0007
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0007
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9997
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0007
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0006
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0004
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+ --------------------------------------------------
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0003
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+ --------------------------------------------------
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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 30
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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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1
+ Training and Validation Metrics Per Epoch
2
+ ==================================================
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+ Epoch 1
4
+ Training Accuracy: 0.9811
5
+ Validation Accuracy: 0.9918
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+ Training Loss: 0.0647
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+ Validation Loss: 0.0285
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+ --------------------------------------------------
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+ Epoch 2
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+ Training Accuracy: 0.9968
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+ Validation Accuracy: 0.9957
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+ Training Loss: 0.0146
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+ Validation Loss: 0.0139
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+ --------------------------------------------------
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+ Epoch 3
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+ Training Accuracy: 0.9980
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+ Validation Accuracy: 0.9967
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+ Training Loss: 0.0074
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+ Validation Loss: 0.0094
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+ --------------------------------------------------
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+ Epoch 4
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+ Training Accuracy: 0.9993
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+ Validation Accuracy: 0.9977
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+ Training Loss: 0.0044
25
+ Validation Loss: 0.0065
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+ --------------------------------------------------
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+ Epoch 5
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+ Training Accuracy: 0.9992
29
+ Validation Accuracy: 0.9980
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+ Training Loss: 0.0036
31
+ Validation Loss: 0.0054
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+ --------------------------------------------------
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+ Epoch 6
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+ Training Accuracy: 0.9993
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+ Validation Accuracy: 0.9984
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+ Training Loss: 0.0025
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+ Validation Loss: 0.0041
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+ --------------------------------------------------
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+ Epoch 7
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+ Training Accuracy: 0.9995
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+ Validation Accuracy: 0.9993
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+ Training Loss: 0.0021
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+ Validation Loss: 0.0029
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+ --------------------------------------------------
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+ Training Accuracy: 0.9992
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0022
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+ Validation Loss: 0.0026
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+ --------------------------------------------------
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+ Epoch 9
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+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0012
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+ Validation Loss: 0.0028
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+ --------------------------------------------------
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+ Epoch 10
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+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0013
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+ Validation Loss: 0.0021
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+ --------------------------------------------------
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+ Epoch 11
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9987
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+ Training Loss: 0.0012
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+ Validation Loss: 0.0025
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+ --------------------------------------------------
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+ Epoch 12
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9993
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+ Training Loss: 0.0010
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+ Validation Loss: 0.0022
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+ --------------------------------------------------
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+ Epoch 13
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+ Training Accuracy: 0.9998
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0010
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+ Validation Loss: 0.0013
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+ --------------------------------------------------
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+ Epoch 14
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0019
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+ --------------------------------------------------
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+ Epoch 15
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0009
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+ --------------------------------------------------
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+ Epoch 16
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0010
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+ --------------------------------------------------
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+ Epoch 17
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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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+ --------------------------------------------------
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+ Epoch 18
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+ Validation Accuracy: 1.0000
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+ Validation Loss: 0.0008
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+ --------------------------------------------------
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+ Epoch 19
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+ 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: 0.0007
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+ --------------------------------------------------
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+ Epoch 20
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+ 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: 0.0007
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+ --------------------------------------------------
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+ --------------------------------------------------
87
+ Epoch 15
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+ Training Accuracy: 0.9998
89
+ Validation Accuracy: 0.9997
90
+ Training Loss: 0.0008
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+ Validation Loss: 0.0014
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+ --------------------------------------------------
93
+ Epoch 16
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+ Training Accuracy: 0.9996
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0018
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+ --------------------------------------------------
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+ Epoch 17
100
+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0012
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+ --------------------------------------------------
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+ Epoch 18
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0016
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+ --------------------------------------------------
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+ Epoch 19
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0012
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+ --------------------------------------------------
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+ Epoch 20
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+ Training Accuracy: 0.9999
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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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+ --------------------------------------------------
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+ Epoch 21
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+ Training Accuracy: 1.0000
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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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+ Epoch 22
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+ 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: 0.0008
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+ --------------------------------------------------
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+ Epoch 23
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9993
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+ Training Loss: 0.0006
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+ Validation Loss: 0.0010
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+ --------------------------------------------------
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+ Epoch 24
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0005
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+ --------------------------------------------------
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+ Epoch 25
148
+ Training Accuracy: 0.9999
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0005
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+ --------------------------------------------------
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+ Epoch 26
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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 27
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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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+ --------------------------------------------------
165
+ Epoch 28
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+ 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: 0.0007
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+ --------------------------------------------------
171
+ Epoch 29
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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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+ --------------------------------------------------
177
+ Epoch 30
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0003
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+ Validation Loss: 0.0006
182
+ --------------------------------------------------
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+ Precision: 1.0000
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+ Recall: 0.9951
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+ Sensitivity: 0.9951
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+ Specificity: 1.0000
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+ F1-Score: 0.9976
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+ AUC: 1.0000
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+ MCC: 0.9972
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+ Cohen's Kappa: 0.9972
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+ Balanced Accuracy: 0.9976
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+ Jaccard Index: 0.9951
11
+ Log Loss: 0.0012
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+ F0.5-Score: 0.9990
ResNet50/HELMINTHS_BINARY_ResNet50_Round1/confusion_matrix.png ADDED
ResNet50/HELMINTHS_BINARY_ResNet50_Round1/roc_curve.png ADDED
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+ accuracy: 0.9993
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+ auc: 1.0000
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+ loss: 0.0012
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ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_validation_metrics.txt ADDED
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+ 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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+ --------------------------------------------------
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+ Epoch 2
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+ Training Accuracy: 0.9982
11
+ Validation Accuracy: 0.9967
12
+ Training Loss: 0.0071
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+ Validation Loss: 0.0075
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+ --------------------------------------------------
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+ Epoch 3
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17
+ Validation Accuracy: 0.9987
18
+ Training Loss: 0.0039
19
+ Validation Loss: 0.0042
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+ --------------------------------------------------
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+ Epoch 4
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+ Training Accuracy: 0.9996
23
+ Validation Accuracy: 0.9990
24
+ Training Loss: 0.0022
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+ Validation Loss: 0.0026
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+ --------------------------------------------------
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+ Epoch 5
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+ Training Accuracy: 0.9997
29
+ Validation Accuracy: 0.9987
30
+ Training Loss: 0.0014
31
+ Validation Loss: 0.0031
32
+ --------------------------------------------------
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+ Epoch 6
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+ Training Accuracy: 0.9998
35
+ Validation Accuracy: 0.9990
36
+ Training Loss: 0.0012
37
+ Validation Loss: 0.0022
38
+ --------------------------------------------------
39
+ Epoch 7
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+ Training Accuracy: 0.9997
41
+ Validation Accuracy: 0.9990
42
+ Training Loss: 0.0013
43
+ Validation Loss: 0.0030
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+ --------------------------------------------------
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+ Epoch 8
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+ 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
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+ --------------------------------------------------
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+ Epoch 9
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9990
54
+ Training Loss: 0.0007
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+ Validation Loss: 0.0021
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+ --------------------------------------------------
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+ Epoch 10
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9993
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0014
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+ --------------------------------------------------
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+ Epoch 11
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+ Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0010
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+ --------------------------------------------------
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+ Epoch 12
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0008
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+ --------------------------------------------------
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+ Epoch 13
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+ Training Accuracy: 0.9999
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+ Validation Accuracy: 0.9990
78
+ Training Loss: 0.0004
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+ Validation Loss: 0.0024
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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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+ Training Loss: 0.0003
85
+ Validation Loss: 0.0008
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+ --------------------------------------------------
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+ Epoch 15
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0006
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+ --------------------------------------------------
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+ Epoch 16
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+ 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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+ --------------------------------------------------
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+ Epoch 17
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+ 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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+ --------------------------------------------------
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+ Epoch 18
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+ 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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+ --------------------------------------------------
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+ Epoch 19
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+ 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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+ Training Accuracy: 0.9998
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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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+ 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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+ 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: 0.0006
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+ --------------------------------------------------
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+ Epoch 26
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+ Training Accuracy: 0.9998
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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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+ 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: 0.0004
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+ --------------------------------------------------
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+ Epoch 29
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+ Training Accuracy: 1.0000
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0006
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+ --------------------------------------------------
177
+ 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
182
+ --------------------------------------------------