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- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/HELMINTHS_BINARY_DenseNet169_Round1.keras +1 -1
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/confusion_matrix.png +0 -0
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_accuracy.png +0 -0
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_loss.png +0 -0
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt +75 -75
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/HELMINTHS_BINARY_DenseNet169_Round2.keras +1 -1
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/classification_metrics.txt +1 -1
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/confusion_matrix.png +0 -0
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt +1 -1
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_accuracy.png +0 -0
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_loss.png +0 -0
- DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt +86 -86
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/HELMINTHS_BINARY_NASNetMobile_Round1.keras +1 -1
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/classification_metrics.txt +9 -9
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/confusion_matrix.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/roc_curve.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/testing_metrics.txt +2 -2
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_accuracy.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_loss.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_validation_metrics.txt +118 -118
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_Round2.keras +1 -1
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/classification_metrics.txt +12 -12
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/confusion_matrix.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/roc_curve.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/testing_metrics.txt +3 -3
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_accuracy.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_loss.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt +118 -118
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras +1 -1
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/classification_metrics.txt +11 -11
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/confusion_matrix.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/roc_curve.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/testing_metrics.txt +2 -2
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_accuracy.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_loss.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt +115 -115
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras +1 -1
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/classification_metrics.txt +12 -12
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/confusion_matrix.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/roc_curve.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/testing_metrics.txt +3 -3
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_accuracy.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_loss.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_validation_metrics.txt +115 -115
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras +1 -1
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/classification_metrics.txt +12 -12
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/confusion_matrix.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/roc_curve.png +0 -0
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/testing_metrics.txt +3 -3
- NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_accuracy.png +0 -0
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/HELMINTHS_BINARY_DenseNet169_Round1.keras
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/confusion_matrix.png
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_accuracy.png
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_loss.png
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt
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Training and Validation Metrics Per Epoch
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==================================================
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| 3 |
Epoch 1
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| 4 |
-
Training Accuracy: 0.
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| 5 |
-
Validation Accuracy: 0.
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| 6 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 2
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-
Training Accuracy: 0.
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-
Validation Accuracy:
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-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 3
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-
Training Accuracy: 0.
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| 17 |
-
Validation Accuracy:
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-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 4
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-
Training Accuracy: 0.
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-
Validation Accuracy:
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-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 5
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| 28 |
-
Training Accuracy:
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| 29 |
-
Validation Accuracy:
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-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 6
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-
Training Accuracy: 0.
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Validation Accuracy: 1.0000
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| 36 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 7
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-
Training Accuracy:
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Validation Accuracy: 1.0000
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| 42 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 8
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| 46 |
-
Training Accuracy: 0.
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Validation Accuracy: 1.0000
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| 48 |
-
Training Loss: 0.
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| 49 |
-
Validation Loss: 0.
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| 50 |
--------------------------------------------------
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Epoch 9
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-
Training Accuracy:
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Validation Accuracy: 1.0000
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| 54 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 10
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-
Training Accuracy:
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Validation Accuracy: 1.0000
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| 60 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 11
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-
Training Accuracy:
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Validation Accuracy: 1.0000
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| 66 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 12
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Training Accuracy: 0.9998
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Validation Accuracy: 1.0000
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| 72 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 13
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-
Training Accuracy:
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Validation Accuracy: 1.0000
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| 78 |
-
Training Loss: 0.
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| 79 |
-
Validation Loss: 0.
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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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| 84 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 15
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-
Training Accuracy: 0.
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Validation Accuracy: 1.0000
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-
Training Loss: 0.
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Validation Loss: 0.
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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.
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-
Validation Loss: 0.
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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.
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Validation Loss: 0.
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--------------------------------------------------
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Epoch 18
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Training Accuracy: 1.0000
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Validation Accuracy: 1.0000
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-
Training Loss: 0.
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Validation Loss: 0.
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--------------------------------------------------
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Epoch 19
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Training Accuracy:
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Validation Accuracy: 1.0000
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-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 20
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-
Training Accuracy:
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Validation Accuracy: 1.0000
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Training Loss: 0.
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-
Validation Loss: 0.
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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.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 22
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-
Training Accuracy:
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Validation Accuracy: 1.0000
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-
Training Loss: 0.
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-
Validation Loss: 0.
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--------------------------------------------------
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Epoch 23
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Training Accuracy: 1.0000
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Validation Accuracy: 1.0000
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-
Training Loss: 0.
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-
Validation Loss: 0.
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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.
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-
Validation Loss: 0.
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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.
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-
Validation Loss: 0.
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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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| 156 |
-
Training Loss: 0.
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-
Validation Loss: 0.
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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.
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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.
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--------------------------------------------------
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Epoch 29
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Training Accuracy: 1.0000
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Training and Validation Metrics Per Epoch
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==================================================
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Epoch 1
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+
Training Accuracy: 0.9870
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+
Validation Accuracy: 0.9992
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+
Training Loss: 0.0410
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| 7 |
+
Validation Loss: 0.0051
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| 8 |
--------------------------------------------------
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Epoch 2
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+
Training Accuracy: 0.9994
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Validation Accuracy: 1.0000
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| 12 |
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Training Loss: 0.0046
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| 13 |
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Validation Loss: 0.0014
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| 14 |
--------------------------------------------------
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| 15 |
Epoch 3
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+
Training Accuracy: 0.9998
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| 17 |
+
Validation Accuracy: 1.0000
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| 18 |
+
Training Loss: 0.0019
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| 19 |
+
Validation Loss: 0.0007
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| 20 |
--------------------------------------------------
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Epoch 4
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+
Training Accuracy: 0.9999
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| 23 |
+
Validation Accuracy: 1.0000
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| 24 |
+
Training Loss: 0.0011
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| 25 |
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Validation Loss: 0.0004
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| 26 |
--------------------------------------------------
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Epoch 5
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+
Training Accuracy: 1.0000
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Validation Accuracy: 1.0000
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Training Loss: 0.0008
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| 31 |
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Validation Loss: 0.0003
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--------------------------------------------------
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Epoch 6
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+
Training Accuracy: 0.9998
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Validation Accuracy: 1.0000
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Training Loss: 0.0008
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Validation Loss: 0.0002
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--------------------------------------------------
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Epoch 7
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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: 0.0001
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--------------------------------------------------
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Epoch 8
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+
Training Accuracy: 0.9999
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Validation Accuracy: 1.0000
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| 48 |
+
Training Loss: 0.0004
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Validation Loss: 0.0001
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--------------------------------------------------
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Epoch 9
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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: 0.0001
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--------------------------------------------------
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Epoch 10
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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: 0.0002
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--------------------------------------------------
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Epoch 11
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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: 0.0000
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--------------------------------------------------
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Epoch 12
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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: 0.0001
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--------------------------------------------------
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Epoch 13
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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: 0.0000
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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: 0.0000
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Validation Loss: 0.0000
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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: 0.0002
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Validation Loss: 0.0000
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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: 0.0003
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Validation Loss: 0.0000
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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: 0.0001
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Validation Loss: 0.0000
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--------------------------------------------------
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Epoch 18
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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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Epoch 19
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Training Accuracy: 1.0000
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Validation Accuracy: 1.0000
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Training Loss: 0.0000
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Validation Loss: 0.0000
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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: 0.0000
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Validation Loss: 0.0000
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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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Training Loss: 0.0000
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Validation Loss: 0.0000
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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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Training Loss: 0.0000
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Validation Loss: 0.0000
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--------------------------------------------------
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Epoch 23
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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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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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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 26
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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 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: 0.0000
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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: 0.0000
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--------------------------------------------------
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Epoch 29
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Training Accuracy: 1.0000
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/HELMINTHS_BINARY_DenseNet169_Round2.keras
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version https://git-lfs.github.com/spec/v1
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size 57791210
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version https://git-lfs.github.com/spec/v1
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size 57791210
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/classification_metrics.txt
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Cohen's Kappa: 1.0000
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Balanced Accuracy: 1.0000
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Jaccard Index: 1.0000
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Log Loss: 0.
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F0.5-Score: 1.0000
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Cohen's Kappa: 1.0000
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Balanced Accuracy: 1.0000
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Jaccard Index: 1.0000
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Log Loss: 0.0000
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F0.5-Score: 1.0000
|
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/confusion_matrix.png
CHANGED
|
|
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
accuracy: 1.0000
|
| 2 |
auc: 1.0000
|
| 3 |
-
loss: 0.
|
|
|
|
| 1 |
accuracy: 1.0000
|
| 2 |
auc: 1.0000
|
| 3 |
+
loss: 0.0000
|
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_accuracy.png
CHANGED
|
|
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_loss.png
CHANGED
|
|
DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt
CHANGED
|
@@ -1,182 +1,182 @@
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
-
Training Accuracy: 0.
|
| 5 |
-
Validation Accuracy: 0.
|
| 6 |
-
Training Loss: 0.
|
| 7 |
-
Validation Loss: 0.
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
-
Training Accuracy: 0.
|
| 11 |
-
Validation Accuracy:
|
| 12 |
-
Training Loss: 0.
|
| 13 |
-
Validation Loss: 0.
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
-
Training Accuracy: 0.
|
| 17 |
-
Validation Accuracy:
|
| 18 |
-
Training Loss: 0.
|
| 19 |
-
Validation Loss: 0.
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
-
Training Accuracy: 0.
|
| 23 |
-
Validation Accuracy:
|
| 24 |
-
Training Loss: 0.
|
| 25 |
-
Validation Loss: 0.
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
-
Training Accuracy:
|
| 29 |
-
Validation Accuracy:
|
| 30 |
-
Training Loss: 0.
|
| 31 |
-
Validation Loss: 0.
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
-
Training Accuracy: 0.
|
| 35 |
-
Validation Accuracy:
|
| 36 |
-
Training Loss: 0.
|
| 37 |
-
Validation Loss: 0.
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
-
Training Accuracy: 0.
|
| 41 |
Validation Accuracy: 1.0000
|
| 42 |
-
Training Loss: 0.
|
| 43 |
-
Validation Loss: 0.
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
-
Training Accuracy:
|
| 47 |
Validation Accuracy: 1.0000
|
| 48 |
-
Training Loss: 0.
|
| 49 |
-
Validation Loss: 0.
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
-
Training Accuracy:
|
| 53 |
-
Validation Accuracy:
|
| 54 |
-
Training Loss: 0.
|
| 55 |
-
Validation Loss: 0.
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
-
Training Accuracy:
|
| 59 |
Validation Accuracy: 1.0000
|
| 60 |
-
Training Loss: 0.
|
| 61 |
-
Validation Loss: 0.
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
-
Training Accuracy:
|
| 65 |
Validation Accuracy: 1.0000
|
| 66 |
-
Training Loss: 0.
|
| 67 |
-
Validation Loss: 0.
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
-
Training Accuracy:
|
| 71 |
Validation Accuracy: 1.0000
|
| 72 |
-
Training Loss: 0.
|
| 73 |
-
Validation Loss: 0.
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
-
Training Accuracy:
|
| 77 |
Validation Accuracy: 1.0000
|
| 78 |
-
Training Loss: 0.
|
| 79 |
-
Validation Loss: 0.
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
-
Training Accuracy: 0.
|
| 83 |
Validation Accuracy: 1.0000
|
| 84 |
-
Training Loss: 0.
|
| 85 |
-
Validation Loss: 0.
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
-
Training Accuracy:
|
| 89 |
Validation Accuracy: 1.0000
|
| 90 |
-
Training Loss: 0.
|
| 91 |
-
Validation Loss: 0.
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
-
Training Accuracy:
|
| 95 |
Validation Accuracy: 1.0000
|
| 96 |
-
Training Loss: 0.
|
| 97 |
-
Validation Loss: 0.
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
-
Training Accuracy:
|
| 101 |
Validation Accuracy: 1.0000
|
| 102 |
-
Training Loss: 0.
|
| 103 |
-
Validation Loss: 0.
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
Training Accuracy: 1.0000
|
| 107 |
Validation Accuracy: 1.0000
|
| 108 |
-
Training Loss: 0.
|
| 109 |
-
Validation Loss: 0.
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
Training Accuracy: 1.0000
|
| 113 |
Validation Accuracy: 1.0000
|
| 114 |
-
Training Loss: 0.
|
| 115 |
-
Validation Loss: 0.
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
Training Accuracy: 1.0000
|
| 119 |
-
Validation Accuracy:
|
| 120 |
-
Training Loss: 0.
|
| 121 |
-
Validation Loss: 0.
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
Training Accuracy: 1.0000
|
| 125 |
Validation Accuracy: 1.0000
|
| 126 |
-
Training Loss: 0.
|
| 127 |
-
Validation Loss: 0.
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
-
Training Accuracy:
|
| 131 |
Validation Accuracy: 1.0000
|
| 132 |
-
Training Loss: 0.
|
| 133 |
-
Validation Loss: 0.
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
-
Training Accuracy:
|
| 137 |
Validation Accuracy: 1.0000
|
| 138 |
-
Training Loss: 0.
|
| 139 |
-
Validation Loss: 0.
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
Training Accuracy: 1.0000
|
| 143 |
Validation Accuracy: 1.0000
|
| 144 |
Training Loss: 0.0001
|
| 145 |
-
Validation Loss: 0.
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
Training Accuracy: 1.0000
|
| 149 |
Validation Accuracy: 1.0000
|
| 150 |
-
Training Loss: 0.
|
| 151 |
-
Validation Loss: 0.
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
-
Training Accuracy:
|
| 155 |
Validation Accuracy: 1.0000
|
| 156 |
-
Training Loss: 0.
|
| 157 |
-
Validation Loss: 0.
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
Training Accuracy: 1.0000
|
| 161 |
Validation Accuracy: 1.0000
|
| 162 |
-
Training Loss: 0.
|
| 163 |
-
Validation Loss: 0.
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
Training Accuracy: 1.0000
|
| 167 |
Validation Accuracy: 1.0000
|
| 168 |
-
Training Loss: 0.
|
| 169 |
-
Validation Loss: 0.
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
Training Accuracy: 1.0000
|
| 173 |
Validation Accuracy: 1.0000
|
| 174 |
Training Loss: 0.0001
|
| 175 |
-
Validation Loss: 0.
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
Training Accuracy: 1.0000
|
| 179 |
Validation Accuracy: 1.0000
|
| 180 |
-
Training Loss: 0.
|
| 181 |
-
Validation Loss: 0.
|
| 182 |
--------------------------------------------------
|
|
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
+
Training Accuracy: 0.9883
|
| 5 |
+
Validation Accuracy: 0.9995
|
| 6 |
+
Training Loss: 0.0362
|
| 7 |
+
Validation Loss: 0.0039
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
+
Training Accuracy: 0.9992
|
| 11 |
+
Validation Accuracy: 1.0000
|
| 12 |
+
Training Loss: 0.0044
|
| 13 |
+
Validation Loss: 0.0011
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
+
Training Accuracy: 0.9999
|
| 17 |
+
Validation Accuracy: 1.0000
|
| 18 |
+
Training Loss: 0.0018
|
| 19 |
+
Validation Loss: 0.0006
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
+
Training Accuracy: 0.9998
|
| 23 |
+
Validation Accuracy: 1.0000
|
| 24 |
+
Training Loss: 0.0013
|
| 25 |
+
Validation Loss: 0.0003
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
+
Training Accuracy: 1.0000
|
| 29 |
+
Validation Accuracy: 1.0000
|
| 30 |
+
Training Loss: 0.0006
|
| 31 |
+
Validation Loss: 0.0001
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
+
Training Accuracy: 0.9999
|
| 35 |
+
Validation Accuracy: 1.0000
|
| 36 |
+
Training Loss: 0.0007
|
| 37 |
+
Validation Loss: 0.0002
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
+
Training Accuracy: 0.9999
|
| 41 |
Validation Accuracy: 1.0000
|
| 42 |
+
Training Loss: 0.0005
|
| 43 |
+
Validation Loss: 0.0002
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
+
Training Accuracy: 1.0000
|
| 47 |
Validation Accuracy: 1.0000
|
| 48 |
+
Training Loss: 0.0003
|
| 49 |
+
Validation Loss: 0.0000
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
+
Training Accuracy: 1.0000
|
| 53 |
+
Validation Accuracy: 1.0000
|
| 54 |
+
Training Loss: 0.0002
|
| 55 |
+
Validation Loss: 0.0001
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
+
Training Accuracy: 1.0000
|
| 59 |
Validation Accuracy: 1.0000
|
| 60 |
+
Training Loss: 0.0002
|
| 61 |
+
Validation Loss: 0.0000
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
+
Training Accuracy: 1.0000
|
| 65 |
Validation Accuracy: 1.0000
|
| 66 |
+
Training Loss: 0.0001
|
| 67 |
+
Validation Loss: 0.0000
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
+
Training Accuracy: 1.0000
|
| 71 |
Validation Accuracy: 1.0000
|
| 72 |
+
Training Loss: 0.0001
|
| 73 |
+
Validation Loss: 0.0000
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
+
Training Accuracy: 1.0000
|
| 77 |
Validation Accuracy: 1.0000
|
| 78 |
+
Training Loss: 0.0001
|
| 79 |
+
Validation Loss: 0.0000
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
+
Training Accuracy: 0.9999
|
| 83 |
Validation Accuracy: 1.0000
|
| 84 |
+
Training Loss: 0.0002
|
| 85 |
+
Validation Loss: 0.0000
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
+
Training Accuracy: 1.0000
|
| 89 |
Validation Accuracy: 1.0000
|
| 90 |
+
Training Loss: 0.0001
|
| 91 |
+
Validation Loss: 0.0000
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
+
Training Accuracy: 1.0000
|
| 95 |
Validation Accuracy: 1.0000
|
| 96 |
+
Training Loss: 0.0002
|
| 97 |
+
Validation Loss: 0.0000
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
+
Training Accuracy: 0.9999
|
| 101 |
Validation Accuracy: 1.0000
|
| 102 |
+
Training Loss: 0.0002
|
| 103 |
+
Validation Loss: 0.0000
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
Training Accuracy: 1.0000
|
| 107 |
Validation Accuracy: 1.0000
|
| 108 |
+
Training Loss: 0.0000
|
| 109 |
+
Validation Loss: 0.0000
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
Training Accuracy: 1.0000
|
| 113 |
Validation Accuracy: 1.0000
|
| 114 |
+
Training Loss: 0.0000
|
| 115 |
+
Validation Loss: 0.0000
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
Training Accuracy: 1.0000
|
| 119 |
+
Validation Accuracy: 1.0000
|
| 120 |
+
Training Loss: 0.0000
|
| 121 |
+
Validation Loss: 0.0000
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
Training Accuracy: 1.0000
|
| 125 |
Validation Accuracy: 1.0000
|
| 126 |
+
Training Loss: 0.0000
|
| 127 |
+
Validation Loss: 0.0000
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
+
Training Accuracy: 1.0000
|
| 131 |
Validation Accuracy: 1.0000
|
| 132 |
+
Training Loss: 0.0001
|
| 133 |
+
Validation Loss: 0.0000
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
+
Training Accuracy: 1.0000
|
| 137 |
Validation Accuracy: 1.0000
|
| 138 |
+
Training Loss: 0.0000
|
| 139 |
+
Validation Loss: 0.0000
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
Training Accuracy: 1.0000
|
| 143 |
Validation Accuracy: 1.0000
|
| 144 |
Training Loss: 0.0001
|
| 145 |
+
Validation Loss: 0.0000
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
Training Accuracy: 1.0000
|
| 149 |
Validation Accuracy: 1.0000
|
| 150 |
+
Training Loss: 0.0000
|
| 151 |
+
Validation Loss: 0.0000
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
+
Training Accuracy: 1.0000
|
| 155 |
Validation Accuracy: 1.0000
|
| 156 |
+
Training Loss: 0.0000
|
| 157 |
+
Validation Loss: 0.0000
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
Training Accuracy: 1.0000
|
| 161 |
Validation Accuracy: 1.0000
|
| 162 |
+
Training Loss: 0.0000
|
| 163 |
+
Validation Loss: 0.0000
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
Training Accuracy: 1.0000
|
| 167 |
Validation Accuracy: 1.0000
|
| 168 |
+
Training Loss: 0.0000
|
| 169 |
+
Validation Loss: 0.0000
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
Training Accuracy: 1.0000
|
| 173 |
Validation Accuracy: 1.0000
|
| 174 |
Training Loss: 0.0001
|
| 175 |
+
Validation Loss: 0.0000
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
Training Accuracy: 1.0000
|
| 179 |
Validation Accuracy: 1.0000
|
| 180 |
+
Training Loss: 0.0000
|
| 181 |
+
Validation Loss: 0.0000
|
| 182 |
--------------------------------------------------
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/HELMINTHS_BINARY_NASNetMobile_Round1.keras
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 23074075
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:7cc7025f0da8b3924bbd38f637dd0f0af27a58d3273187722a522e0573022228
|
| 3 |
size 23074075
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/classification_metrics.txt
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
Precision: 1.0000
|
| 2 |
-
Recall: 0.
|
| 3 |
-
Sensitivity: 0.
|
| 4 |
Specificity: 1.0000
|
| 5 |
-
F1-Score: 0.
|
| 6 |
AUC: 1.0000
|
| 7 |
-
MCC: 0.
|
| 8 |
-
Cohen's Kappa: 0.
|
| 9 |
-
Balanced Accuracy: 0.
|
| 10 |
-
Jaccard Index: 0.
|
| 11 |
-
Log Loss: 0.
|
| 12 |
-
F0.5-Score: 0.
|
|
|
|
| 1 |
Precision: 1.0000
|
| 2 |
+
Recall: 0.9996
|
| 3 |
+
Sensitivity: 0.9996
|
| 4 |
Specificity: 1.0000
|
| 5 |
+
F1-Score: 0.9998
|
| 6 |
AUC: 1.0000
|
| 7 |
+
MCC: 0.9994
|
| 8 |
+
Cohen's Kappa: 0.9994
|
| 9 |
+
Balanced Accuracy: 0.9998
|
| 10 |
+
Jaccard Index: 0.9996
|
| 11 |
+
Log Loss: 0.0008
|
| 12 |
+
F0.5-Score: 0.9999
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/confusion_matrix.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/roc_curve.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/testing_metrics.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
accuracy: 0.
|
| 2 |
auc: 1.0000
|
| 3 |
-
loss: 0.
|
|
|
|
| 1 |
+
accuracy: 0.9997
|
| 2 |
auc: 1.0000
|
| 3 |
+
loss: 0.0008
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_accuracy.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_loss.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_validation_metrics.txt
CHANGED
|
@@ -1,182 +1,182 @@
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
-
Training Accuracy: 0.
|
| 5 |
-
Validation Accuracy: 0.
|
| 6 |
-
Training Loss: 0.
|
| 7 |
-
Validation Loss: 0.
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
-
Training Accuracy: 0.
|
| 11 |
-
Validation Accuracy: 0.
|
| 12 |
-
Training Loss: 0.
|
| 13 |
-
Validation Loss: 0.
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
-
Training Accuracy: 0.
|
| 17 |
-
Validation Accuracy: 0.
|
| 18 |
-
Training Loss: 0.
|
| 19 |
-
Validation Loss: 0.
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
-
Training Accuracy: 0.
|
| 23 |
-
Validation Accuracy: 0.
|
| 24 |
-
Training Loss: 0.
|
| 25 |
-
Validation Loss: 0.
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
-
Training Accuracy: 0.
|
| 29 |
-
Validation Accuracy: 0.
|
| 30 |
-
Training Loss: 0.
|
| 31 |
-
Validation Loss: 0.
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
-
Training Accuracy: 0.
|
| 35 |
-
Validation Accuracy: 0.
|
| 36 |
-
Training Loss: 0.
|
| 37 |
-
Validation Loss: 0.
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
-
Training Accuracy: 0.
|
| 41 |
-
Validation Accuracy: 0.
|
| 42 |
-
Training Loss: 0.
|
| 43 |
-
Validation Loss: 0.
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
-
Training Accuracy: 0.
|
| 47 |
-
Validation Accuracy: 0.
|
| 48 |
-
Training Loss: 0.
|
| 49 |
-
Validation Loss: 0.
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
-
Training Accuracy: 0.
|
| 53 |
-
Validation Accuracy: 0.
|
| 54 |
-
Training Loss: 0.
|
| 55 |
-
Validation Loss: 0.
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
-
Training Accuracy: 0.
|
| 59 |
-
Validation Accuracy: 0.
|
| 60 |
-
Training Loss: 0.
|
| 61 |
-
Validation Loss: 0.
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
-
Training Accuracy: 0.
|
| 65 |
-
Validation Accuracy: 0.
|
| 66 |
-
Training Loss: 0.
|
| 67 |
-
Validation Loss: 0.
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
-
Training Accuracy: 0.
|
| 71 |
-
Validation Accuracy: 0.
|
| 72 |
-
Training Loss: 0.
|
| 73 |
-
Validation Loss: 0.
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
-
Training Accuracy: 0.
|
| 77 |
-
Validation Accuracy: 0.
|
| 78 |
-
Training Loss: 0.
|
| 79 |
-
Validation Loss: 0.
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
-
Training Accuracy: 0.
|
| 83 |
-
Validation Accuracy: 0.
|
| 84 |
-
Training Loss: 0.
|
| 85 |
-
Validation Loss: 0.
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
-
Training Accuracy: 0.
|
| 89 |
-
Validation Accuracy: 0.
|
| 90 |
-
Training Loss: 0.
|
| 91 |
-
Validation Loss: 0.
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
-
Training Accuracy: 0.
|
| 95 |
-
Validation Accuracy: 0.
|
| 96 |
-
Training Loss: 0.
|
| 97 |
-
Validation Loss: 0.
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
-
Training Accuracy: 0.
|
| 101 |
-
Validation Accuracy: 0.
|
| 102 |
-
Training Loss: 0.
|
| 103 |
-
Validation Loss: 0.
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
-
Training Accuracy: 0.
|
| 107 |
-
Validation Accuracy: 0.
|
| 108 |
-
Training Loss: 0.
|
| 109 |
-
Validation Loss: 0.
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
-
Training Accuracy: 0.
|
| 113 |
-
Validation Accuracy: 0.
|
| 114 |
-
Training Loss: 0.
|
| 115 |
-
Validation Loss: 0.
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
-
Training Accuracy: 0.
|
| 119 |
-
Validation Accuracy: 0.
|
| 120 |
-
Training Loss: 0.
|
| 121 |
-
Validation Loss: 0.
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
-
Training Accuracy: 0.
|
| 125 |
-
Validation Accuracy: 0.
|
| 126 |
-
Training Loss: 0.
|
| 127 |
-
Validation Loss: 0.
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
-
Training Accuracy: 0.
|
| 131 |
-
Validation Accuracy: 0.
|
| 132 |
-
Training Loss: 0.
|
| 133 |
-
Validation Loss: 0.
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
-
Training Accuracy: 0.
|
| 137 |
-
Validation Accuracy: 0.
|
| 138 |
-
Training Loss: 0.
|
| 139 |
-
Validation Loss: 0.
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
-
Training Accuracy: 0.
|
| 143 |
-
Validation Accuracy: 0.
|
| 144 |
-
Training Loss: 0.
|
| 145 |
-
Validation Loss: 0.
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
Training Accuracy: 0.9996
|
| 149 |
-
Validation Accuracy: 0.
|
| 150 |
-
Training Loss: 0.
|
| 151 |
-
Validation Loss: 0.
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
-
Training Accuracy: 0.
|
| 155 |
-
Validation Accuracy: 0.
|
| 156 |
-
Training Loss: 0.
|
| 157 |
-
Validation Loss: 0.
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
-
Training Accuracy: 0.
|
| 161 |
-
Validation Accuracy: 0.
|
| 162 |
-
Training Loss: 0.
|
| 163 |
-
Validation Loss: 0.
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
Training Accuracy: 0.9995
|
| 167 |
-
Validation Accuracy: 0.
|
| 168 |
-
Training Loss: 0.
|
| 169 |
-
Validation Loss: 0.
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
-
Training Accuracy: 0.
|
| 173 |
-
Validation Accuracy: 0.
|
| 174 |
-
Training Loss: 0.
|
| 175 |
-
Validation Loss: 0.
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
-
Training Accuracy: 0.
|
| 179 |
-
Validation Accuracy: 0.
|
| 180 |
-
Training Loss: 0.
|
| 181 |
-
Validation Loss: 0.
|
| 182 |
--------------------------------------------------
|
|
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
+
Training Accuracy: 0.9781
|
| 5 |
+
Validation Accuracy: 0.9956
|
| 6 |
+
Training Loss: 0.0671
|
| 7 |
+
Validation Loss: 0.0196
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
+
Training Accuracy: 0.9953
|
| 11 |
+
Validation Accuracy: 0.9961
|
| 12 |
+
Training Loss: 0.0166
|
| 13 |
+
Validation Loss: 0.0139
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
+
Training Accuracy: 0.9968
|
| 17 |
+
Validation Accuracy: 0.9973
|
| 18 |
+
Training Loss: 0.0108
|
| 19 |
+
Validation Loss: 0.0094
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
+
Training Accuracy: 0.9979
|
| 23 |
+
Validation Accuracy: 0.9981
|
| 24 |
+
Training Loss: 0.0078
|
| 25 |
+
Validation Loss: 0.0063
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
+
Training Accuracy: 0.9983
|
| 29 |
+
Validation Accuracy: 0.9984
|
| 30 |
+
Training Loss: 0.0057
|
| 31 |
+
Validation Loss: 0.0051
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
+
Training Accuracy: 0.9986
|
| 35 |
+
Validation Accuracy: 0.9975
|
| 36 |
+
Training Loss: 0.0050
|
| 37 |
+
Validation Loss: 0.0069
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
+
Training Accuracy: 0.9986
|
| 41 |
+
Validation Accuracy: 0.9984
|
| 42 |
+
Training Loss: 0.0043
|
| 43 |
+
Validation Loss: 0.0048
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
+
Training Accuracy: 0.9988
|
| 47 |
+
Validation Accuracy: 0.9976
|
| 48 |
+
Training Loss: 0.0036
|
| 49 |
+
Validation Loss: 0.0073
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
+
Training Accuracy: 0.9989
|
| 53 |
+
Validation Accuracy: 0.9989
|
| 54 |
+
Training Loss: 0.0035
|
| 55 |
+
Validation Loss: 0.0034
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
+
Training Accuracy: 0.9992
|
| 59 |
+
Validation Accuracy: 0.9985
|
| 60 |
+
Training Loss: 0.0032
|
| 61 |
+
Validation Loss: 0.0044
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
+
Training Accuracy: 0.9994
|
| 65 |
+
Validation Accuracy: 0.9989
|
| 66 |
+
Training Loss: 0.0023
|
| 67 |
+
Validation Loss: 0.0036
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
+
Training Accuracy: 0.9994
|
| 71 |
+
Validation Accuracy: 0.9990
|
| 72 |
+
Training Loss: 0.0025
|
| 73 |
+
Validation Loss: 0.0029
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
+
Training Accuracy: 0.9990
|
| 77 |
+
Validation Accuracy: 0.9986
|
| 78 |
+
Training Loss: 0.0029
|
| 79 |
+
Validation Loss: 0.0042
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
+
Training Accuracy: 0.9995
|
| 83 |
+
Validation Accuracy: 0.9990
|
| 84 |
+
Training Loss: 0.0018
|
| 85 |
+
Validation Loss: 0.0033
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
+
Training Accuracy: 0.9996
|
| 89 |
+
Validation Accuracy: 0.9980
|
| 90 |
+
Training Loss: 0.0013
|
| 91 |
+
Validation Loss: 0.0054
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
+
Training Accuracy: 0.9997
|
| 95 |
+
Validation Accuracy: 0.9985
|
| 96 |
+
Training Loss: 0.0015
|
| 97 |
+
Validation Loss: 0.0040
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
+
Training Accuracy: 0.9996
|
| 101 |
+
Validation Accuracy: 0.9991
|
| 102 |
+
Training Loss: 0.0015
|
| 103 |
+
Validation Loss: 0.0022
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
+
Training Accuracy: 0.9995
|
| 107 |
+
Validation Accuracy: 0.9991
|
| 108 |
+
Training Loss: 0.0014
|
| 109 |
+
Validation Loss: 0.0030
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
+
Training Accuracy: 0.9992
|
| 113 |
+
Validation Accuracy: 0.9986
|
| 114 |
+
Training Loss: 0.0024
|
| 115 |
+
Validation Loss: 0.0037
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
+
Training Accuracy: 0.9997
|
| 119 |
+
Validation Accuracy: 0.9991
|
| 120 |
+
Training Loss: 0.0014
|
| 121 |
+
Validation Loss: 0.0019
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
+
Training Accuracy: 0.9999
|
| 125 |
+
Validation Accuracy: 0.9989
|
| 126 |
+
Training Loss: 0.0010
|
| 127 |
+
Validation Loss: 0.0029
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
+
Training Accuracy: 0.9996
|
| 131 |
+
Validation Accuracy: 0.9986
|
| 132 |
+
Training Loss: 0.0013
|
| 133 |
+
Validation Loss: 0.0030
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
+
Training Accuracy: 0.9995
|
| 137 |
+
Validation Accuracy: 0.9990
|
| 138 |
+
Training Loss: 0.0017
|
| 139 |
+
Validation Loss: 0.0024
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
+
Training Accuracy: 0.9997
|
| 143 |
+
Validation Accuracy: 0.9985
|
| 144 |
+
Training Loss: 0.0011
|
| 145 |
+
Validation Loss: 0.0047
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
Training Accuracy: 0.9996
|
| 149 |
+
Validation Accuracy: 0.9986
|
| 150 |
+
Training Loss: 0.0011
|
| 151 |
+
Validation Loss: 0.0042
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
+
Training Accuracy: 0.9996
|
| 155 |
+
Validation Accuracy: 0.9987
|
| 156 |
+
Training Loss: 0.0012
|
| 157 |
+
Validation Loss: 0.0034
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
+
Training Accuracy: 0.9995
|
| 161 |
+
Validation Accuracy: 0.9996
|
| 162 |
+
Training Loss: 0.0016
|
| 163 |
+
Validation Loss: 0.0014
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
Training Accuracy: 0.9995
|
| 167 |
+
Validation Accuracy: 0.9990
|
| 168 |
+
Training Loss: 0.0018
|
| 169 |
+
Validation Loss: 0.0025
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
+
Training Accuracy: 0.9997
|
| 173 |
+
Validation Accuracy: 0.9990
|
| 174 |
+
Training Loss: 0.0009
|
| 175 |
+
Validation Loss: 0.0022
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
+
Training Accuracy: 0.9995
|
| 179 |
+
Validation Accuracy: 0.9992
|
| 180 |
+
Training Loss: 0.0012
|
| 181 |
+
Validation Loss: 0.0020
|
| 182 |
--------------------------------------------------
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_Round2.keras
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
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|
| 3 |
size 23074075
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|
|
|
| 1 |
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size 23074075
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NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/classification_metrics.txt
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
-
Precision:
|
| 2 |
-
Recall: 0.
|
| 3 |
-
Sensitivity: 0.
|
| 4 |
-
Specificity:
|
| 5 |
-
F1-Score: 0.
|
| 6 |
-
AUC:
|
| 7 |
-
MCC: 0.
|
| 8 |
-
Cohen's Kappa: 0.
|
| 9 |
-
Balanced Accuracy: 0.
|
| 10 |
-
Jaccard Index: 0.
|
| 11 |
-
Log Loss: 0.
|
| 12 |
-
F0.5-Score: 0.
|
|
|
|
| 1 |
+
Precision: 1.0000
|
| 2 |
+
Recall: 0.9996
|
| 3 |
+
Sensitivity: 0.9996
|
| 4 |
+
Specificity: 1.0000
|
| 5 |
+
F1-Score: 0.9998
|
| 6 |
+
AUC: 1.0000
|
| 7 |
+
MCC: 0.9994
|
| 8 |
+
Cohen's Kappa: 0.9994
|
| 9 |
+
Balanced Accuracy: 0.9998
|
| 10 |
+
Jaccard Index: 0.9996
|
| 11 |
+
Log Loss: 0.0008
|
| 12 |
+
F0.5-Score: 0.9999
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/confusion_matrix.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/roc_curve.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/testing_metrics.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
accuracy: 0.
|
| 2 |
-
auc:
|
| 3 |
-
loss: 0.
|
|
|
|
| 1 |
+
accuracy: 0.9997
|
| 2 |
+
auc: 1.0000
|
| 3 |
+
loss: 0.0008
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_accuracy.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_loss.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt
CHANGED
|
@@ -1,182 +1,182 @@
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
-
Training Accuracy: 0.
|
| 5 |
-
Validation Accuracy: 0.
|
| 6 |
-
Training Loss: 0.
|
| 7 |
-
Validation Loss: 0.
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
-
Training Accuracy: 0.
|
| 11 |
-
Validation Accuracy: 0.
|
| 12 |
-
Training Loss: 0.
|
| 13 |
-
Validation Loss: 0.
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
-
Training Accuracy: 0.
|
| 17 |
-
Validation Accuracy: 0.
|
| 18 |
-
Training Loss: 0.
|
| 19 |
-
Validation Loss: 0.
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
-
Training Accuracy: 0.
|
| 23 |
-
Validation Accuracy: 0.
|
| 24 |
-
Training Loss: 0.
|
| 25 |
-
Validation Loss: 0.
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
-
Training Accuracy: 0.
|
| 29 |
-
Validation Accuracy: 0.
|
| 30 |
-
Training Loss: 0.
|
| 31 |
-
Validation Loss: 0.
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
-
Training Accuracy: 0.
|
| 35 |
-
Validation Accuracy: 0.
|
| 36 |
-
Training Loss: 0.
|
| 37 |
-
Validation Loss: 0.
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
-
Training Accuracy: 0.
|
| 41 |
-
Validation Accuracy: 0.
|
| 42 |
-
Training Loss: 0.
|
| 43 |
-
Validation Loss: 0.
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
-
Training Accuracy: 0.
|
| 47 |
-
Validation Accuracy: 0.
|
| 48 |
-
Training Loss: 0.
|
| 49 |
-
Validation Loss: 0.
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
-
Training Accuracy: 0.
|
| 53 |
-
Validation Accuracy: 0.
|
| 54 |
-
Training Loss: 0.
|
| 55 |
-
Validation Loss: 0.
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
-
Training Accuracy: 0.
|
| 59 |
-
Validation Accuracy: 0.
|
| 60 |
-
Training Loss: 0.
|
| 61 |
-
Validation Loss: 0.
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
-
Training Accuracy: 0.
|
| 65 |
-
Validation Accuracy: 0.
|
| 66 |
-
Training Loss: 0.
|
| 67 |
-
Validation Loss: 0.
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
-
Training Accuracy: 0.
|
| 71 |
-
Validation Accuracy: 0.
|
| 72 |
-
Training Loss: 0.
|
| 73 |
-
Validation Loss: 0.
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
-
Training Accuracy: 0.
|
| 77 |
-
Validation Accuracy: 0.
|
| 78 |
-
Training Loss: 0.
|
| 79 |
-
Validation Loss: 0.
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
-
Training Accuracy: 0.
|
| 83 |
-
Validation Accuracy: 0.
|
| 84 |
-
Training Loss: 0.
|
| 85 |
-
Validation Loss: 0.
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
-
Training Accuracy: 0.
|
| 89 |
-
Validation Accuracy: 0.
|
| 90 |
-
Training Loss: 0.
|
| 91 |
-
Validation Loss: 0.
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
-
Training Accuracy: 0.
|
| 95 |
-
Validation Accuracy: 0.
|
| 96 |
-
Training Loss: 0.
|
| 97 |
-
Validation Loss: 0.
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
-
Training Accuracy: 0.
|
| 101 |
-
Validation Accuracy: 0.
|
| 102 |
-
Training Loss: 0.
|
| 103 |
-
Validation Loss: 0.
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
-
Training Accuracy: 0.
|
| 107 |
-
Validation Accuracy: 0.
|
| 108 |
-
Training Loss: 0.
|
| 109 |
-
Validation Loss: 0.
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
-
Training Accuracy: 0.
|
| 113 |
-
Validation Accuracy: 0.
|
| 114 |
-
Training Loss: 0.
|
| 115 |
-
Validation Loss: 0.
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
-
Training Accuracy: 0.
|
| 119 |
-
Validation Accuracy: 0.
|
| 120 |
-
Training Loss: 0.
|
| 121 |
-
Validation Loss: 0.
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
-
Training Accuracy: 0.
|
| 125 |
-
Validation Accuracy: 0.
|
| 126 |
-
Training Loss: 0.
|
| 127 |
-
Validation Loss: 0.
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
-
Training Accuracy: 0.
|
| 131 |
-
Validation Accuracy: 0.
|
| 132 |
-
Training Loss: 0.
|
| 133 |
-
Validation Loss: 0.
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
-
Training Accuracy: 0.
|
| 137 |
-
Validation Accuracy: 0.
|
| 138 |
-
Training Loss: 0.
|
| 139 |
-
Validation Loss: 0.
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
-
Training Accuracy: 0.
|
| 143 |
-
Validation Accuracy: 0.
|
| 144 |
-
Training Loss: 0.
|
| 145 |
Validation Loss: 0.0047
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
-
Training Accuracy: 0.
|
| 149 |
-
Validation Accuracy: 0.
|
| 150 |
-
Training Loss: 0.
|
| 151 |
-
Validation Loss: 0.
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
-
Training Accuracy: 0.
|
| 155 |
-
Validation Accuracy: 0.
|
| 156 |
-
Training Loss: 0.
|
| 157 |
-
Validation Loss: 0.
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
Training Accuracy: 0.9995
|
| 161 |
-
Validation Accuracy: 0.
|
| 162 |
-
Training Loss: 0.
|
| 163 |
-
Validation Loss: 0.
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
-
Training Accuracy: 0.
|
| 167 |
-
Validation Accuracy: 0.
|
| 168 |
-
Training Loss: 0.
|
| 169 |
-
Validation Loss: 0.
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
-
Training Accuracy: 0.
|
| 173 |
-
Validation Accuracy: 0.
|
| 174 |
-
Training Loss: 0.
|
| 175 |
-
Validation Loss: 0.
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
-
Training Accuracy: 0.
|
| 179 |
-
Validation Accuracy: 0.
|
| 180 |
-
Training Loss: 0.
|
| 181 |
-
Validation Loss: 0.
|
| 182 |
--------------------------------------------------
|
|
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
+
Training Accuracy: 0.9798
|
| 5 |
+
Validation Accuracy: 0.9957
|
| 6 |
+
Training Loss: 0.0627
|
| 7 |
+
Validation Loss: 0.0171
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
+
Training Accuracy: 0.9953
|
| 11 |
+
Validation Accuracy: 0.9966
|
| 12 |
+
Training Loss: 0.0155
|
| 13 |
+
Validation Loss: 0.0118
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
+
Training Accuracy: 0.9970
|
| 17 |
+
Validation Accuracy: 0.9982
|
| 18 |
+
Training Loss: 0.0103
|
| 19 |
+
Validation Loss: 0.0063
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
+
Training Accuracy: 0.9983
|
| 23 |
+
Validation Accuracy: 0.9979
|
| 24 |
+
Training Loss: 0.0062
|
| 25 |
+
Validation Loss: 0.0058
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
+
Training Accuracy: 0.9986
|
| 29 |
+
Validation Accuracy: 0.9972
|
| 30 |
+
Training Loss: 0.0056
|
| 31 |
+
Validation Loss: 0.0085
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
+
Training Accuracy: 0.9988
|
| 35 |
+
Validation Accuracy: 0.9981
|
| 36 |
+
Training Loss: 0.0044
|
| 37 |
+
Validation Loss: 0.0053
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
+
Training Accuracy: 0.9990
|
| 41 |
+
Validation Accuracy: 0.9984
|
| 42 |
+
Training Loss: 0.0036
|
| 43 |
+
Validation Loss: 0.0045
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
+
Training Accuracy: 0.9992
|
| 47 |
+
Validation Accuracy: 0.9984
|
| 48 |
+
Training Loss: 0.0031
|
| 49 |
+
Validation Loss: 0.0051
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
+
Training Accuracy: 0.9991
|
| 53 |
+
Validation Accuracy: 0.9989
|
| 54 |
+
Training Loss: 0.0034
|
| 55 |
+
Validation Loss: 0.0033
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
+
Training Accuracy: 0.9990
|
| 59 |
+
Validation Accuracy: 0.9985
|
| 60 |
+
Training Loss: 0.0025
|
| 61 |
+
Validation Loss: 0.0047
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
+
Training Accuracy: 0.9990
|
| 65 |
+
Validation Accuracy: 0.9989
|
| 66 |
+
Training Loss: 0.0031
|
| 67 |
+
Validation Loss: 0.0033
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
+
Training Accuracy: 0.9995
|
| 71 |
+
Validation Accuracy: 0.9989
|
| 72 |
+
Training Loss: 0.0021
|
| 73 |
+
Validation Loss: 0.0034
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
+
Training Accuracy: 0.9994
|
| 77 |
+
Validation Accuracy: 0.9989
|
| 78 |
+
Training Loss: 0.0020
|
| 79 |
+
Validation Loss: 0.0031
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
+
Training Accuracy: 0.9989
|
| 83 |
+
Validation Accuracy: 0.9992
|
| 84 |
+
Training Loss: 0.0025
|
| 85 |
+
Validation Loss: 0.0024
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
+
Training Accuracy: 0.9994
|
| 89 |
+
Validation Accuracy: 0.9987
|
| 90 |
+
Training Loss: 0.0018
|
| 91 |
+
Validation Loss: 0.0044
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
+
Training Accuracy: 0.9995
|
| 95 |
+
Validation Accuracy: 0.9991
|
| 96 |
+
Training Loss: 0.0019
|
| 97 |
+
Validation Loss: 0.0024
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
+
Training Accuracy: 0.9994
|
| 101 |
+
Validation Accuracy: 0.9991
|
| 102 |
+
Training Loss: 0.0019
|
| 103 |
+
Validation Loss: 0.0028
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
+
Training Accuracy: 0.9994
|
| 107 |
+
Validation Accuracy: 0.9992
|
| 108 |
+
Training Loss: 0.0019
|
| 109 |
+
Validation Loss: 0.0026
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
+
Training Accuracy: 0.9997
|
| 113 |
+
Validation Accuracy: 0.9992
|
| 114 |
+
Training Loss: 0.0013
|
| 115 |
+
Validation Loss: 0.0028
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
+
Training Accuracy: 0.9994
|
| 119 |
+
Validation Accuracy: 0.9986
|
| 120 |
+
Training Loss: 0.0018
|
| 121 |
+
Validation Loss: 0.0040
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
+
Training Accuracy: 0.9995
|
| 125 |
+
Validation Accuracy: 0.9990
|
| 126 |
+
Training Loss: 0.0017
|
| 127 |
+
Validation Loss: 0.0028
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
+
Training Accuracy: 0.9997
|
| 131 |
+
Validation Accuracy: 0.9995
|
| 132 |
+
Training Loss: 0.0010
|
| 133 |
+
Validation Loss: 0.0021
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
+
Training Accuracy: 0.9995
|
| 137 |
+
Validation Accuracy: 0.9987
|
| 138 |
+
Training Loss: 0.0015
|
| 139 |
+
Validation Loss: 0.0031
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
+
Training Accuracy: 0.9994
|
| 143 |
+
Validation Accuracy: 0.9981
|
| 144 |
+
Training Loss: 0.0016
|
| 145 |
Validation Loss: 0.0047
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
+
Training Accuracy: 0.9996
|
| 149 |
+
Validation Accuracy: 0.9992
|
| 150 |
+
Training Loss: 0.0013
|
| 151 |
+
Validation Loss: 0.0021
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
+
Training Accuracy: 0.9998
|
| 155 |
+
Validation Accuracy: 0.9994
|
| 156 |
+
Training Loss: 0.0008
|
| 157 |
+
Validation Loss: 0.0021
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
Training Accuracy: 0.9995
|
| 161 |
+
Validation Accuracy: 0.9994
|
| 162 |
+
Training Loss: 0.0013
|
| 163 |
+
Validation Loss: 0.0022
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
+
Training Accuracy: 0.9996
|
| 167 |
+
Validation Accuracy: 0.9989
|
| 168 |
+
Training Loss: 0.0013
|
| 169 |
+
Validation Loss: 0.0034
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
+
Training Accuracy: 0.9995
|
| 173 |
+
Validation Accuracy: 0.9996
|
| 174 |
+
Training Loss: 0.0014
|
| 175 |
+
Validation Loss: 0.0015
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
+
Training Accuracy: 0.9994
|
| 179 |
+
Validation Accuracy: 0.9992
|
| 180 |
+
Training Loss: 0.0017
|
| 181 |
+
Validation Loss: 0.0017
|
| 182 |
--------------------------------------------------
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
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|
| 3 |
size 23074075
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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|
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size 23074075
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/classification_metrics.txt
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
-
Precision:
|
| 2 |
-
Recall: 0.
|
| 3 |
-
Sensitivity: 0.
|
| 4 |
-
Specificity:
|
| 5 |
-
F1-Score: 0.
|
| 6 |
AUC: 1.0000
|
| 7 |
-
MCC: 0.
|
| 8 |
-
Cohen's Kappa: 0.
|
| 9 |
-
Balanced Accuracy: 0.
|
| 10 |
-
Jaccard Index: 0.
|
| 11 |
-
Log Loss: 0.
|
| 12 |
-
F0.5-Score: 0.
|
|
|
|
| 1 |
+
Precision: 1.0000
|
| 2 |
+
Recall: 0.9996
|
| 3 |
+
Sensitivity: 0.9996
|
| 4 |
+
Specificity: 1.0000
|
| 5 |
+
F1-Score: 0.9998
|
| 6 |
AUC: 1.0000
|
| 7 |
+
MCC: 0.9994
|
| 8 |
+
Cohen's Kappa: 0.9994
|
| 9 |
+
Balanced Accuracy: 0.9998
|
| 10 |
+
Jaccard Index: 0.9996
|
| 11 |
+
Log Loss: 0.0015
|
| 12 |
+
F0.5-Score: 0.9999
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/confusion_matrix.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/roc_curve.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/testing_metrics.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
accuracy: 0.
|
| 2 |
auc: 1.0000
|
| 3 |
-
loss: 0.
|
|
|
|
| 1 |
+
accuracy: 0.9997
|
| 2 |
auc: 1.0000
|
| 3 |
+
loss: 0.0015
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_accuracy.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_loss.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt
CHANGED
|
@@ -1,182 +1,182 @@
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
-
Training Accuracy: 0.
|
| 5 |
-
Validation Accuracy: 0.
|
| 6 |
-
Training Loss: 0.
|
| 7 |
-
Validation Loss: 0.
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
-
Training Accuracy: 0.
|
| 11 |
-
Validation Accuracy: 0.
|
| 12 |
-
Training Loss: 0.
|
| 13 |
-
Validation Loss: 0.
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
-
Training Accuracy: 0.
|
| 17 |
-
Validation Accuracy: 0.
|
| 18 |
-
Training Loss: 0.
|
| 19 |
-
Validation Loss: 0.
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
-
Training Accuracy: 0.
|
| 23 |
-
Validation Accuracy: 0.
|
| 24 |
-
Training Loss: 0.
|
| 25 |
-
Validation Loss: 0.
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
-
Training Accuracy: 0.
|
| 29 |
-
Validation Accuracy: 0.
|
| 30 |
-
Training Loss: 0.
|
| 31 |
-
Validation Loss: 0.
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
-
Training Accuracy: 0.
|
| 35 |
-
Validation Accuracy: 0.
|
| 36 |
-
Training Loss: 0.
|
| 37 |
-
Validation Loss: 0.
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
-
Training Accuracy: 0.
|
| 41 |
-
Validation Accuracy: 0.
|
| 42 |
-
Training Loss: 0.
|
| 43 |
-
Validation Loss: 0.
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
-
Training Accuracy: 0.
|
| 47 |
-
Validation Accuracy: 0.
|
| 48 |
-
Training Loss: 0.
|
| 49 |
-
Validation Loss: 0.
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
-
Training Accuracy: 0.
|
| 53 |
-
Validation Accuracy: 0.
|
| 54 |
-
Training Loss: 0.
|
| 55 |
-
Validation Loss: 0.
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
-
Training Accuracy: 0.
|
| 59 |
-
Validation Accuracy: 0.
|
| 60 |
-
Training Loss: 0.
|
| 61 |
-
Validation Loss: 0.
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
-
Training Accuracy: 0.
|
| 65 |
-
Validation Accuracy: 0.
|
| 66 |
-
Training Loss: 0.
|
| 67 |
-
Validation Loss: 0.
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
-
Training Accuracy: 0.
|
| 71 |
-
Validation Accuracy: 0.
|
| 72 |
-
Training Loss: 0.
|
| 73 |
-
Validation Loss: 0.
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
-
Training Accuracy: 0.
|
| 77 |
-
Validation Accuracy: 0.
|
| 78 |
-
Training Loss: 0.
|
| 79 |
-
Validation Loss: 0.
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
-
Training Accuracy: 0.
|
| 83 |
-
Validation Accuracy: 0.
|
| 84 |
-
Training Loss: 0.
|
| 85 |
-
Validation Loss: 0.
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
-
Training Accuracy: 0.
|
| 89 |
-
Validation Accuracy: 0.
|
| 90 |
-
Training Loss: 0.
|
| 91 |
-
Validation Loss: 0.
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
Training Accuracy: 0.9993
|
| 95 |
-
Validation Accuracy: 0.
|
| 96 |
-
Training Loss: 0.
|
| 97 |
-
Validation Loss: 0.
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
-
Training Accuracy: 0.
|
| 101 |
-
Validation Accuracy: 0.
|
| 102 |
-
Training Loss: 0.
|
| 103 |
-
Validation Loss: 0.
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
-
Training Accuracy: 0.
|
| 107 |
-
Validation Accuracy: 0.
|
| 108 |
-
Training Loss: 0.
|
| 109 |
-
Validation Loss: 0.
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
-
Training Accuracy: 0.
|
| 113 |
-
Validation Accuracy: 0.
|
| 114 |
-
Training Loss: 0.
|
| 115 |
-
Validation Loss: 0.
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
-
Training Accuracy: 0.
|
| 119 |
-
Validation Accuracy: 0.
|
| 120 |
-
Training Loss: 0.
|
| 121 |
-
Validation Loss: 0.
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
-
Training Accuracy: 0.
|
| 125 |
-
Validation Accuracy: 0.
|
| 126 |
-
Training Loss: 0.
|
| 127 |
-
Validation Loss: 0.
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
-
Training Accuracy: 0.
|
| 131 |
-
Validation Accuracy: 0.
|
| 132 |
-
Training Loss: 0.
|
| 133 |
-
Validation Loss: 0.
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
-
Training Accuracy: 0.
|
| 137 |
-
Validation Accuracy: 0.
|
| 138 |
-
Training Loss: 0.
|
| 139 |
-
Validation Loss: 0.
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
-
Training Accuracy: 0.
|
| 143 |
-
Validation Accuracy: 0.
|
| 144 |
-
Training Loss: 0.
|
| 145 |
-
Validation Loss: 0.
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
-
Training Accuracy: 0.
|
| 149 |
-
Validation Accuracy: 0.
|
| 150 |
-
Training Loss: 0.
|
| 151 |
-
Validation Loss: 0.
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
-
Training Accuracy: 0.
|
| 155 |
-
Validation Accuracy: 0.
|
| 156 |
-
Training Loss: 0.
|
| 157 |
-
Validation Loss: 0.
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
Training Accuracy: 0.9997
|
| 161 |
-
Validation Accuracy: 0.
|
| 162 |
-
Training Loss: 0.
|
| 163 |
-
Validation Loss: 0.
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
-
Training Accuracy: 0.
|
| 167 |
-
Validation Accuracy: 0.
|
| 168 |
Training Loss: 0.0020
|
| 169 |
-
Validation Loss: 0.
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
-
Training Accuracy: 0.
|
| 173 |
-
Validation Accuracy: 0.
|
| 174 |
-
Training Loss: 0.
|
| 175 |
-
Validation Loss: 0.
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
-
Training Accuracy: 0.
|
| 179 |
Validation Accuracy: 0.9984
|
| 180 |
-
Training Loss: 0.
|
| 181 |
Validation Loss: 0.0043
|
| 182 |
--------------------------------------------------
|
|
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
+
Training Accuracy: 0.9762
|
| 5 |
+
Validation Accuracy: 0.9952
|
| 6 |
+
Training Loss: 0.0684
|
| 7 |
+
Validation Loss: 0.0204
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
+
Training Accuracy: 0.9957
|
| 11 |
+
Validation Accuracy: 0.9970
|
| 12 |
+
Training Loss: 0.0157
|
| 13 |
+
Validation Loss: 0.0115
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
+
Training Accuracy: 0.9971
|
| 17 |
+
Validation Accuracy: 0.9972
|
| 18 |
+
Training Loss: 0.0100
|
| 19 |
+
Validation Loss: 0.0093
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
+
Training Accuracy: 0.9977
|
| 23 |
+
Validation Accuracy: 0.9979
|
| 24 |
+
Training Loss: 0.0073
|
| 25 |
+
Validation Loss: 0.0066
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
+
Training Accuracy: 0.9982
|
| 29 |
+
Validation Accuracy: 0.9982
|
| 30 |
+
Training Loss: 0.0060
|
| 31 |
+
Validation Loss: 0.0054
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
+
Training Accuracy: 0.9985
|
| 35 |
+
Validation Accuracy: 0.9970
|
| 36 |
+
Training Loss: 0.0045
|
| 37 |
+
Validation Loss: 0.0098
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
+
Training Accuracy: 0.9984
|
| 41 |
+
Validation Accuracy: 0.9984
|
| 42 |
+
Training Loss: 0.0041
|
| 43 |
+
Validation Loss: 0.0046
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
+
Training Accuracy: 0.9992
|
| 47 |
+
Validation Accuracy: 0.9975
|
| 48 |
+
Training Loss: 0.0029
|
| 49 |
+
Validation Loss: 0.0075
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
+
Training Accuracy: 0.9988
|
| 53 |
+
Validation Accuracy: 0.9971
|
| 54 |
+
Training Loss: 0.0038
|
| 55 |
+
Validation Loss: 0.0081
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
+
Training Accuracy: 0.9992
|
| 59 |
+
Validation Accuracy: 0.9991
|
| 60 |
+
Training Loss: 0.0030
|
| 61 |
+
Validation Loss: 0.0026
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
+
Training Accuracy: 0.9992
|
| 65 |
+
Validation Accuracy: 0.9992
|
| 66 |
+
Training Loss: 0.0029
|
| 67 |
+
Validation Loss: 0.0025
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
+
Training Accuracy: 0.9991
|
| 71 |
+
Validation Accuracy: 0.9985
|
| 72 |
+
Training Loss: 0.0030
|
| 73 |
+
Validation Loss: 0.0042
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
+
Training Accuracy: 0.9995
|
| 77 |
+
Validation Accuracy: 0.9971
|
| 78 |
+
Training Loss: 0.0019
|
| 79 |
+
Validation Loss: 0.0077
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
+
Training Accuracy: 0.9996
|
| 83 |
+
Validation Accuracy: 0.9982
|
| 84 |
+
Training Loss: 0.0014
|
| 85 |
+
Validation Loss: 0.0048
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
+
Training Accuracy: 0.9992
|
| 89 |
+
Validation Accuracy: 0.9992
|
| 90 |
+
Training Loss: 0.0023
|
| 91 |
+
Validation Loss: 0.0021
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
Training Accuracy: 0.9993
|
| 95 |
+
Validation Accuracy: 0.9987
|
| 96 |
+
Training Loss: 0.0018
|
| 97 |
+
Validation Loss: 0.0038
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
+
Training Accuracy: 0.9995
|
| 101 |
+
Validation Accuracy: 0.9989
|
| 102 |
+
Training Loss: 0.0017
|
| 103 |
+
Validation Loss: 0.0028
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
+
Training Accuracy: 0.9992
|
| 107 |
+
Validation Accuracy: 0.9985
|
| 108 |
+
Training Loss: 0.0021
|
| 109 |
+
Validation Loss: 0.0044
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
+
Training Accuracy: 0.9994
|
| 113 |
+
Validation Accuracy: 0.9984
|
| 114 |
+
Training Loss: 0.0020
|
| 115 |
+
Validation Loss: 0.0049
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
+
Training Accuracy: 0.9995
|
| 119 |
+
Validation Accuracy: 0.9986
|
| 120 |
+
Training Loss: 0.0016
|
| 121 |
+
Validation Loss: 0.0036
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
+
Training Accuracy: 0.9993
|
| 125 |
+
Validation Accuracy: 0.9987
|
| 126 |
+
Training Loss: 0.0017
|
| 127 |
+
Validation Loss: 0.0039
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
+
Training Accuracy: 0.9996
|
| 131 |
+
Validation Accuracy: 0.9991
|
| 132 |
+
Training Loss: 0.0015
|
| 133 |
+
Validation Loss: 0.0022
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
+
Training Accuracy: 0.9996
|
| 137 |
+
Validation Accuracy: 0.9987
|
| 138 |
+
Training Loss: 0.0011
|
| 139 |
+
Validation Loss: 0.0042
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
+
Training Accuracy: 0.9997
|
| 143 |
+
Validation Accuracy: 0.9985
|
| 144 |
+
Training Loss: 0.0010
|
| 145 |
+
Validation Loss: 0.0049
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
+
Training Accuracy: 0.9996
|
| 149 |
+
Validation Accuracy: 0.9991
|
| 150 |
+
Training Loss: 0.0014
|
| 151 |
+
Validation Loss: 0.0030
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
+
Training Accuracy: 0.9995
|
| 155 |
+
Validation Accuracy: 0.9989
|
| 156 |
+
Training Loss: 0.0014
|
| 157 |
+
Validation Loss: 0.0029
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
Training Accuracy: 0.9997
|
| 161 |
+
Validation Accuracy: 0.9987
|
| 162 |
+
Training Loss: 0.0009
|
| 163 |
+
Validation Loss: 0.0036
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
+
Training Accuracy: 0.9994
|
| 167 |
+
Validation Accuracy: 0.9992
|
| 168 |
Training Loss: 0.0020
|
| 169 |
+
Validation Loss: 0.0020
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
+
Training Accuracy: 0.9995
|
| 173 |
+
Validation Accuracy: 0.9977
|
| 174 |
+
Training Loss: 0.0014
|
| 175 |
+
Validation Loss: 0.0071
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
+
Training Accuracy: 0.9997
|
| 179 |
Validation Accuracy: 0.9984
|
| 180 |
+
Training Loss: 0.0010
|
| 181 |
Validation Loss: 0.0043
|
| 182 |
--------------------------------------------------
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
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|
| 3 |
size 23074075
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|
|
|
| 1 |
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size 23074075
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NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/classification_metrics.txt
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
-
Precision:
|
| 2 |
-
Recall: 0.
|
| 3 |
-
Sensitivity: 0.
|
| 4 |
-
Specificity:
|
| 5 |
-
F1-Score: 0.
|
| 6 |
-
AUC:
|
| 7 |
-
MCC: 0.
|
| 8 |
-
Cohen's Kappa: 0.
|
| 9 |
-
Balanced Accuracy: 0.
|
| 10 |
-
Jaccard Index: 0.
|
| 11 |
-
Log Loss: 0.
|
| 12 |
-
F0.5-Score: 0.
|
|
|
|
| 1 |
+
Precision: 1.0000
|
| 2 |
+
Recall: 0.9996
|
| 3 |
+
Sensitivity: 0.9996
|
| 4 |
+
Specificity: 1.0000
|
| 5 |
+
F1-Score: 0.9998
|
| 6 |
+
AUC: 1.0000
|
| 7 |
+
MCC: 0.9994
|
| 8 |
+
Cohen's Kappa: 0.9994
|
| 9 |
+
Balanced Accuracy: 0.9998
|
| 10 |
+
Jaccard Index: 0.9996
|
| 11 |
+
Log Loss: 0.0005
|
| 12 |
+
F0.5-Score: 0.9999
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/confusion_matrix.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/roc_curve.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/testing_metrics.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
accuracy: 0.
|
| 2 |
-
auc:
|
| 3 |
-
loss: 0.
|
|
|
|
| 1 |
+
accuracy: 0.9997
|
| 2 |
+
auc: 1.0000
|
| 3 |
+
loss: 0.0005
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_accuracy.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_loss.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_validation_metrics.txt
CHANGED
|
@@ -1,182 +1,182 @@
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
-
Training Accuracy: 0.
|
| 5 |
-
Validation Accuracy: 0.
|
| 6 |
-
Training Loss: 0.
|
| 7 |
-
Validation Loss: 0.
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
-
Training Accuracy: 0.
|
| 11 |
-
Validation Accuracy: 0.
|
| 12 |
-
Training Loss: 0.
|
| 13 |
-
Validation Loss: 0.
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
-
Training Accuracy: 0.
|
| 17 |
-
Validation Accuracy: 0.
|
| 18 |
-
Training Loss: 0.
|
| 19 |
-
Validation Loss: 0.
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
-
Training Accuracy: 0.
|
| 23 |
-
Validation Accuracy: 0.
|
| 24 |
-
Training Loss: 0.
|
| 25 |
-
Validation Loss: 0.
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
-
Training Accuracy: 0.
|
| 29 |
-
Validation Accuracy: 0.
|
| 30 |
-
Training Loss: 0.
|
| 31 |
-
Validation Loss: 0.
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
-
Training Accuracy: 0.
|
| 35 |
-
Validation Accuracy: 0.
|
| 36 |
-
Training Loss: 0.
|
| 37 |
-
Validation Loss: 0.
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
-
Training Accuracy: 0.
|
| 41 |
-
Validation Accuracy: 0.
|
| 42 |
-
Training Loss: 0.
|
| 43 |
-
Validation Loss: 0.
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
Training Accuracy: 0.9987
|
| 47 |
-
Validation Accuracy: 0.
|
| 48 |
-
Training Loss: 0.
|
| 49 |
-
Validation Loss: 0.
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
-
Training Accuracy: 0.
|
| 53 |
-
Validation Accuracy: 0.
|
| 54 |
-
Training Loss: 0.
|
| 55 |
-
Validation Loss: 0.
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
-
Training Accuracy: 0.
|
| 59 |
-
Validation Accuracy: 0.
|
| 60 |
-
Training Loss: 0.
|
| 61 |
-
Validation Loss: 0.
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
-
Training Accuracy: 0.
|
| 65 |
-
Validation Accuracy: 0.
|
| 66 |
-
Training Loss: 0.
|
| 67 |
-
Validation Loss: 0.
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
-
Training Accuracy: 0.
|
| 71 |
-
Validation Accuracy: 0.
|
| 72 |
-
Training Loss: 0.
|
| 73 |
-
Validation Loss: 0.
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
-
Training Accuracy: 0.
|
| 77 |
-
Validation Accuracy: 0.
|
| 78 |
-
Training Loss: 0.
|
| 79 |
-
Validation Loss: 0.
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
-
Training Accuracy: 0.
|
| 83 |
-
Validation Accuracy: 0.
|
| 84 |
-
Training Loss: 0.
|
| 85 |
-
Validation Loss: 0.
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
-
Training Accuracy: 0.
|
| 89 |
-
Validation Accuracy: 0.
|
| 90 |
-
Training Loss: 0.
|
| 91 |
-
Validation Loss: 0.
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
-
Training Accuracy: 0.
|
| 95 |
-
Validation Accuracy: 0.
|
| 96 |
-
Training Loss: 0.
|
| 97 |
-
Validation Loss: 0.
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
Training Accuracy: 0.9992
|
| 101 |
-
Validation Accuracy: 0.
|
| 102 |
-
Training Loss: 0.
|
| 103 |
-
Validation Loss: 0.
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
-
Training Accuracy: 0.
|
| 107 |
-
Validation Accuracy: 0.
|
| 108 |
-
Training Loss: 0.
|
| 109 |
-
Validation Loss: 0.
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
-
Training Accuracy: 0.
|
| 113 |
-
Validation Accuracy: 0.
|
| 114 |
-
Training Loss: 0.
|
| 115 |
-
Validation Loss: 0.
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
Training Accuracy: 0.9994
|
| 119 |
-
Validation Accuracy: 0.
|
| 120 |
-
Training Loss: 0.
|
| 121 |
-
Validation Loss: 0.
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
-
Training Accuracy: 0.
|
| 125 |
-
Validation Accuracy: 0.
|
| 126 |
-
Training Loss: 0.
|
| 127 |
-
Validation Loss: 0.
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
-
Training Accuracy: 0.
|
| 131 |
-
Validation Accuracy: 0.
|
| 132 |
-
Training Loss: 0.
|
| 133 |
-
Validation Loss: 0.
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
-
Training Accuracy: 0.
|
| 137 |
-
Validation Accuracy: 0.
|
| 138 |
-
Training Loss: 0.
|
| 139 |
-
Validation Loss: 0.
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
Training Accuracy: 0.9996
|
| 143 |
-
Validation Accuracy: 0.
|
| 144 |
-
Training Loss: 0.
|
| 145 |
-
Validation Loss: 0.
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
-
Training Accuracy: 0.
|
| 149 |
-
Validation Accuracy: 0.
|
| 150 |
-
Training Loss: 0.
|
| 151 |
-
Validation Loss: 0.
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
-
Training Accuracy: 0.
|
| 155 |
-
Validation Accuracy: 0.
|
| 156 |
-
Training Loss: 0.
|
| 157 |
-
Validation Loss: 0.
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
-
Training Accuracy: 0.
|
| 161 |
-
Validation Accuracy: 0.
|
| 162 |
-
Training Loss: 0.
|
| 163 |
-
Validation Loss: 0.
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
Training Accuracy: 0.9996
|
| 167 |
-
Validation Accuracy: 0.
|
| 168 |
-
Training Loss: 0.
|
| 169 |
-
Validation Loss: 0.
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
-
Training Accuracy: 0.
|
| 173 |
-
Validation Accuracy: 0.
|
| 174 |
-
Training Loss: 0.
|
| 175 |
-
Validation Loss: 0.
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
-
Training Accuracy: 0.
|
| 179 |
-
Validation Accuracy: 0.
|
| 180 |
-
Training Loss: 0.
|
| 181 |
-
Validation Loss: 0.
|
| 182 |
--------------------------------------------------
|
|
|
|
| 1 |
Training and Validation Metrics Per Epoch
|
| 2 |
==================================================
|
| 3 |
Epoch 1
|
| 4 |
+
Training Accuracy: 0.9773
|
| 5 |
+
Validation Accuracy: 0.9963
|
| 6 |
+
Training Loss: 0.0663
|
| 7 |
+
Validation Loss: 0.0165
|
| 8 |
--------------------------------------------------
|
| 9 |
Epoch 2
|
| 10 |
+
Training Accuracy: 0.9952
|
| 11 |
+
Validation Accuracy: 0.9975
|
| 12 |
+
Training Loss: 0.0167
|
| 13 |
+
Validation Loss: 0.0100
|
| 14 |
--------------------------------------------------
|
| 15 |
Epoch 3
|
| 16 |
+
Training Accuracy: 0.9972
|
| 17 |
+
Validation Accuracy: 0.9982
|
| 18 |
+
Training Loss: 0.0100
|
| 19 |
+
Validation Loss: 0.0063
|
| 20 |
--------------------------------------------------
|
| 21 |
Epoch 4
|
| 22 |
+
Training Accuracy: 0.9984
|
| 23 |
+
Validation Accuracy: 0.9981
|
| 24 |
+
Training Loss: 0.0066
|
| 25 |
+
Validation Loss: 0.0057
|
| 26 |
--------------------------------------------------
|
| 27 |
Epoch 5
|
| 28 |
+
Training Accuracy: 0.9981
|
| 29 |
+
Validation Accuracy: 0.9979
|
| 30 |
+
Training Loss: 0.0060
|
| 31 |
+
Validation Loss: 0.0058
|
| 32 |
--------------------------------------------------
|
| 33 |
Epoch 6
|
| 34 |
+
Training Accuracy: 0.9987
|
| 35 |
+
Validation Accuracy: 0.9985
|
| 36 |
+
Training Loss: 0.0044
|
| 37 |
+
Validation Loss: 0.0043
|
| 38 |
--------------------------------------------------
|
| 39 |
Epoch 7
|
| 40 |
+
Training Accuracy: 0.9988
|
| 41 |
+
Validation Accuracy: 0.9982
|
| 42 |
+
Training Loss: 0.0038
|
| 43 |
+
Validation Loss: 0.0053
|
| 44 |
--------------------------------------------------
|
| 45 |
Epoch 8
|
| 46 |
Training Accuracy: 0.9987
|
| 47 |
+
Validation Accuracy: 0.9990
|
| 48 |
+
Training Loss: 0.0038
|
| 49 |
+
Validation Loss: 0.0031
|
| 50 |
--------------------------------------------------
|
| 51 |
Epoch 9
|
| 52 |
+
Training Accuracy: 0.9989
|
| 53 |
+
Validation Accuracy: 0.9987
|
| 54 |
+
Training Loss: 0.0034
|
| 55 |
+
Validation Loss: 0.0031
|
| 56 |
--------------------------------------------------
|
| 57 |
Epoch 10
|
| 58 |
+
Training Accuracy: 0.9991
|
| 59 |
+
Validation Accuracy: 0.9990
|
| 60 |
+
Training Loss: 0.0028
|
| 61 |
+
Validation Loss: 0.0028
|
| 62 |
--------------------------------------------------
|
| 63 |
Epoch 11
|
| 64 |
+
Training Accuracy: 0.9988
|
| 65 |
+
Validation Accuracy: 0.9990
|
| 66 |
+
Training Loss: 0.0032
|
| 67 |
+
Validation Loss: 0.0027
|
| 68 |
--------------------------------------------------
|
| 69 |
Epoch 12
|
| 70 |
+
Training Accuracy: 0.9994
|
| 71 |
+
Validation Accuracy: 0.9994
|
| 72 |
+
Training Loss: 0.0022
|
| 73 |
+
Validation Loss: 0.0022
|
| 74 |
--------------------------------------------------
|
| 75 |
Epoch 13
|
| 76 |
+
Training Accuracy: 0.9992
|
| 77 |
+
Validation Accuracy: 0.9990
|
| 78 |
+
Training Loss: 0.0027
|
| 79 |
+
Validation Loss: 0.0026
|
| 80 |
--------------------------------------------------
|
| 81 |
Epoch 14
|
| 82 |
+
Training Accuracy: 0.9993
|
| 83 |
+
Validation Accuracy: 0.9994
|
| 84 |
+
Training Loss: 0.0025
|
| 85 |
+
Validation Loss: 0.0021
|
| 86 |
--------------------------------------------------
|
| 87 |
Epoch 15
|
| 88 |
+
Training Accuracy: 0.9994
|
| 89 |
+
Validation Accuracy: 0.9994
|
| 90 |
+
Training Loss: 0.0018
|
| 91 |
+
Validation Loss: 0.0021
|
| 92 |
--------------------------------------------------
|
| 93 |
Epoch 16
|
| 94 |
+
Training Accuracy: 0.9993
|
| 95 |
+
Validation Accuracy: 0.9992
|
| 96 |
+
Training Loss: 0.0022
|
| 97 |
+
Validation Loss: 0.0022
|
| 98 |
--------------------------------------------------
|
| 99 |
Epoch 17
|
| 100 |
Training Accuracy: 0.9992
|
| 101 |
+
Validation Accuracy: 0.9966
|
| 102 |
+
Training Loss: 0.0022
|
| 103 |
+
Validation Loss: 0.0096
|
| 104 |
--------------------------------------------------
|
| 105 |
Epoch 18
|
| 106 |
+
Training Accuracy: 0.9996
|
| 107 |
+
Validation Accuracy: 0.9994
|
| 108 |
+
Training Loss: 0.0018
|
| 109 |
+
Validation Loss: 0.0022
|
| 110 |
--------------------------------------------------
|
| 111 |
Epoch 19
|
| 112 |
+
Training Accuracy: 0.9996
|
| 113 |
+
Validation Accuracy: 0.9992
|
| 114 |
+
Training Loss: 0.0014
|
| 115 |
+
Validation Loss: 0.0024
|
| 116 |
--------------------------------------------------
|
| 117 |
Epoch 20
|
| 118 |
Training Accuracy: 0.9994
|
| 119 |
+
Validation Accuracy: 0.9987
|
| 120 |
+
Training Loss: 0.0017
|
| 121 |
+
Validation Loss: 0.0032
|
| 122 |
--------------------------------------------------
|
| 123 |
Epoch 21
|
| 124 |
+
Training Accuracy: 0.9996
|
| 125 |
+
Validation Accuracy: 0.9992
|
| 126 |
+
Training Loss: 0.0012
|
| 127 |
+
Validation Loss: 0.0017
|
| 128 |
--------------------------------------------------
|
| 129 |
Epoch 22
|
| 130 |
+
Training Accuracy: 0.9995
|
| 131 |
+
Validation Accuracy: 0.9991
|
| 132 |
+
Training Loss: 0.0015
|
| 133 |
+
Validation Loss: 0.0025
|
| 134 |
--------------------------------------------------
|
| 135 |
Epoch 23
|
| 136 |
+
Training Accuracy: 0.9994
|
| 137 |
+
Validation Accuracy: 0.9994
|
| 138 |
+
Training Loss: 0.0014
|
| 139 |
+
Validation Loss: 0.0027
|
| 140 |
--------------------------------------------------
|
| 141 |
Epoch 24
|
| 142 |
Training Accuracy: 0.9996
|
| 143 |
+
Validation Accuracy: 0.9994
|
| 144 |
+
Training Loss: 0.0011
|
| 145 |
+
Validation Loss: 0.0021
|
| 146 |
--------------------------------------------------
|
| 147 |
Epoch 25
|
| 148 |
+
Training Accuracy: 0.9997
|
| 149 |
+
Validation Accuracy: 0.9982
|
| 150 |
+
Training Loss: 0.0009
|
| 151 |
+
Validation Loss: 0.0051
|
| 152 |
--------------------------------------------------
|
| 153 |
Epoch 26
|
| 154 |
+
Training Accuracy: 0.9997
|
| 155 |
+
Validation Accuracy: 0.9987
|
| 156 |
+
Training Loss: 0.0009
|
| 157 |
+
Validation Loss: 0.0031
|
| 158 |
--------------------------------------------------
|
| 159 |
Epoch 27
|
| 160 |
+
Training Accuracy: 0.9997
|
| 161 |
+
Validation Accuracy: 0.9995
|
| 162 |
+
Training Loss: 0.0013
|
| 163 |
+
Validation Loss: 0.0015
|
| 164 |
--------------------------------------------------
|
| 165 |
Epoch 28
|
| 166 |
Training Accuracy: 0.9996
|
| 167 |
+
Validation Accuracy: 0.9990
|
| 168 |
+
Training Loss: 0.0012
|
| 169 |
+
Validation Loss: 0.0031
|
| 170 |
--------------------------------------------------
|
| 171 |
Epoch 29
|
| 172 |
+
Training Accuracy: 0.9998
|
| 173 |
+
Validation Accuracy: 0.9994
|
| 174 |
+
Training Loss: 0.0007
|
| 175 |
+
Validation Loss: 0.0017
|
| 176 |
--------------------------------------------------
|
| 177 |
Epoch 30
|
| 178 |
+
Training Accuracy: 0.9997
|
| 179 |
+
Validation Accuracy: 0.9997
|
| 180 |
+
Training Loss: 0.0009
|
| 181 |
+
Validation Loss: 0.0013
|
| 182 |
--------------------------------------------------
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras
CHANGED
|
@@ -1,3 +1,3 @@
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| 1 |
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NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/classification_metrics.txt
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
-
Precision:
|
| 2 |
-
Recall: 0.
|
| 3 |
-
Sensitivity: 0.
|
| 4 |
-
Specificity:
|
| 5 |
-
F1-Score: 0.
|
| 6 |
-
AUC:
|
| 7 |
-
MCC: 0.
|
| 8 |
-
Cohen's Kappa: 0.
|
| 9 |
-
Balanced Accuracy: 0.
|
| 10 |
-
Jaccard Index: 0.
|
| 11 |
-
Log Loss: 0.
|
| 12 |
-
F0.5-Score: 0.
|
|
|
|
| 1 |
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Precision: 1.0000
|
| 2 |
+
Recall: 0.9989
|
| 3 |
+
Sensitivity: 0.9989
|
| 4 |
+
Specificity: 1.0000
|
| 5 |
+
F1-Score: 0.9994
|
| 6 |
+
AUC: 1.0000
|
| 7 |
+
MCC: 0.9983
|
| 8 |
+
Cohen's Kappa: 0.9983
|
| 9 |
+
Balanced Accuracy: 0.9994
|
| 10 |
+
Jaccard Index: 0.9989
|
| 11 |
+
Log Loss: 0.0018
|
| 12 |
+
F0.5-Score: 0.9998
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/confusion_matrix.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/roc_curve.png
CHANGED
|
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/testing_metrics.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
accuracy: 0.
|
| 2 |
-
auc:
|
| 3 |
-
loss: 0.
|
|
|
|
| 1 |
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accuracy: 0.9992
|
| 2 |
+
auc: 1.0000
|
| 3 |
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loss: 0.0018
|
NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_accuracy.png
CHANGED
|
|