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@@ -63,3 +63,8 @@ ResNet50/BINARY_ResNet50_Round2/BINARY_ResNet50_Round2.keras filter=lfs diff=lfs
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+EfficientNetB0/BINARY_EfficientNetB0_Round1/BINARY_EfficientNetB0_Round1.keras filter=lfs diff=lfs merge=lfs -text
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+EfficientNetB0/BINARY_EfficientNetB0_Round3/BINARY_EfficientNetB0_Round3.keras filter=lfs diff=lfs merge=lfs -text
+EfficientNetB0/BINARY_EfficientNetB0_Round4/BINARY_EfficientNetB0_Round4.keras filter=lfs diff=lfs merge=lfs -text
+EfficientNetB0/BINARY_EfficientNetB0_Round5/BINARY_EfficientNetB0_Round5.keras filter=lfs diff=lfs merge=lfs -text

EfficientNetB0/BINARY_EfficientNetB0_Round1/BINARY_EfficientNetB0_Round1.keras

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EfficientNetB0/BINARY_EfficientNetB0_Round1/classification_metrics.txt

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+Precision: 1.0000
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+Sensitivity: 1.0000
+Specificity: 1.0000
+F1-Score: 1.0000
+AUC: 1.0000
+MCC: 1.0000
+Cohen's Kappa: 1.0000
+Balanced Accuracy: 1.0000
+Jaccard Index: 1.0000
+Log Loss: 0.0002
+F0.5-Score: 1.0000

EfficientNetB0/BINARY_EfficientNetB0_Round1/testing_metrics.txt

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EfficientNetB0/BINARY_EfficientNetB0_Round1/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+  Validation Accuracy: 0.9932
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+  Validation Loss: 0.0236
+--------------------------------------------------
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+--------------------------------------------------
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+--------------------------------------------------
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+--------------------------------------------------
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+--------------------------------------------------
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+  Validation Accuracy: 0.9996
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+Epoch 30
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+  Validation Accuracy: 0.9996
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+  Validation Loss: 0.0016
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EfficientNetB0/BINARY_EfficientNetB0_Round2/BINARY_EfficientNetB0_Round2.keras

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EfficientNetB0/BINARY_EfficientNetB0_Round2/classification_metrics.txt

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+AUC: 1.0000
+MCC: 0.9992
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EfficientNetB0/BINARY_EfficientNetB0_Round2/testing_metrics.txt

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EfficientNetB0/BINARY_EfficientNetB0_Round2/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+  Validation Loss: 0.0231
+--------------------------------------------------
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EfficientNetB0/BINARY_EfficientNetB0_Round3/BINARY_EfficientNetB0_Round3.keras

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EfficientNetB0/BINARY_EfficientNetB0_Round3/classification_metrics.txt

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EfficientNetB0/BINARY_EfficientNetB0_Round3/testing_metrics.txt

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EfficientNetB0/BINARY_EfficientNetB0_Round3/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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EfficientNetB0/BINARY_EfficientNetB0_Round4/BINARY_EfficientNetB0_Round4.keras

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EfficientNetB0/BINARY_EfficientNetB0_Round4/testing_metrics.txt

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EfficientNetB0/BINARY_EfficientNetB0_Round4/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+  Validation Accuracy: 0.9996
+  Training Loss: 0.0009
+  Validation Loss: 0.0018
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0013
+  Validation Loss: 0.0023
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0010
+  Validation Loss: 0.0019
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0007
+  Validation Loss: 0.0020
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0007
+  Validation Loss: 0.0017
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0008
+  Validation Loss: 0.0015
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0005
+  Validation Loss: 0.0011
+--------------------------------------------------

EfficientNetB0/BINARY_EfficientNetB0_Round5/BINARY_EfficientNetB0_Round5.keras

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+version https://git-lfs.github.com/spec/v1
+oid sha256:61e5c15d12290eeba0cb90be44aeed37aa511115912e5a1f68673c6bd79bb4b7
+size 20986130

EfficientNetB0/BINARY_EfficientNetB0_Round5/classification_metrics.txt

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+Precision: 1.0000
+Recall: 1.0000
+Sensitivity: 1.0000
+Specificity: 1.0000
+F1-Score: 1.0000
+AUC: 1.0000
+MCC: 1.0000
+Cohen's Kappa: 1.0000
+Balanced Accuracy: 1.0000
+Jaccard Index: 1.0000
+Log Loss: 0.0002
+F0.5-Score: 1.0000

EfficientNetB0/BINARY_EfficientNetB0_Round5/testing_metrics.txt

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+accuracy: 1.0000
+auc: 1.0000
+loss: 0.0002

EfficientNetB0/BINARY_EfficientNetB0_Round5/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1
+  Training Accuracy: 0.9736
+  Validation Accuracy: 0.9930
+  Training Loss: 0.0945
+  Validation Loss: 0.0225
+--------------------------------------------------
+Epoch 2
+  Training Accuracy: 0.9949
+  Validation Accuracy: 0.9962
+  Training Loss: 0.0196
+  Validation Loss: 0.0126
+--------------------------------------------------
+Epoch 3
+  Training Accuracy: 0.9967
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0130
+  Validation Loss: 0.0093
+--------------------------------------------------
+Epoch 4
+  Training Accuracy: 0.9984
+  Validation Accuracy: 0.9980
+  Training Loss: 0.0075
+  Validation Loss: 0.0071
+--------------------------------------------------
+Epoch 5
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9984
+  Training Loss: 0.0058
+  Validation Loss: 0.0055
+--------------------------------------------------
+Epoch 6
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0050
+  Validation Loss: 0.0047
+--------------------------------------------------
+Epoch 7
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0041
+  Validation Loss: 0.0051
+--------------------------------------------------
+Epoch 8
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0043
+  Validation Loss: 0.0037
+--------------------------------------------------
+Epoch 9
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0032
+  Validation Loss: 0.0037
+--------------------------------------------------
+Epoch 10
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0023
+  Validation Loss: 0.0034
+--------------------------------------------------
+Epoch 11
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0025
+  Validation Loss: 0.0031
+--------------------------------------------------
+Epoch 12
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0021
+  Validation Loss: 0.0030
+--------------------------------------------------
+Epoch 13
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0012
+  Validation Loss: 0.0030
+--------------------------------------------------
+Epoch 14
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0012
+  Validation Loss: 0.0032
+--------------------------------------------------
+Epoch 15
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0016
+  Validation Loss: 0.0028
+--------------------------------------------------
+Epoch 16
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0013
+  Validation Loss: 0.0030
+--------------------------------------------------
+Epoch 17
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0015
+  Validation Loss: 0.0025
+--------------------------------------------------
+Epoch 18
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0011
+  Validation Loss: 0.0025
+--------------------------------------------------
+Epoch 19
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0010
+  Validation Loss: 0.0024
+--------------------------------------------------
+Epoch 20
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0016
+  Validation Loss: 0.0022
+--------------------------------------------------
+Epoch 21
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0008
+  Validation Loss: 0.0018
+--------------------------------------------------
+Epoch 22
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0008
+  Validation Loss: 0.0018
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0011
+  Validation Loss: 0.0018
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0011
+  Validation Loss: 0.0017
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0005
+  Validation Loss: 0.0019
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0010
+  Validation Loss: 0.0022
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0005
+  Validation Loss: 0.0019
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0006
+  Validation Loss: 0.0022
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0006
+  Validation Loss: 0.0031
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0006
+  Validation Loss: 0.0023
+--------------------------------------------------