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@@ -58,3 +58,8 @@ NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras filter=
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 NASNetMobile/BINARY_NASNetMobile_Round5/BINARY_NASNetMobile_Round5.keras filter=lfs diff=lfs merge=lfs -text
+ResNet50/BINARY_ResNet50_Round1/BINARY_ResNet50_Round1.keras filter=lfs diff=lfs merge=lfs -text
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+ResNet50/BINARY_ResNet50_Round5/BINARY_ResNet50_Round5.keras filter=lfs diff=lfs merge=lfs -text

ResNet50/BINARY_ResNet50_Round1/BINARY_ResNet50_Round1.keras

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ResNet50/BINARY_ResNet50_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: 0.0001
+F0.5-Score: 1.0000

ResNet50/BINARY_ResNet50_Round1/testing_metrics.txt

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+accuracy: 1.0000
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ResNet50/BINARY_ResNet50_Round1/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1
+  Training Accuracy: 0.9839
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0430
+  Validation Loss: 0.0032
+--------------------------------------------------
+Epoch 2
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+  Validation Accuracy: 0.9998
+  Training Loss: 0.0053
+  Validation Loss: 0.0014
+--------------------------------------------------
+Epoch 3
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+  Validation Accuracy: 1.0000
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+  Validation Loss: 0.0008
+--------------------------------------------------
+Epoch 4
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+  Validation Accuracy: 1.0000
+  Training Loss: 0.0016
+  Validation Loss: 0.0006
+--------------------------------------------------
+Epoch 5
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+  Validation Accuracy: 0.9998
+  Training Loss: 0.0013
+  Validation Loss: 0.0007
+--------------------------------------------------
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+  Validation Accuracy: 1.0000
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+--------------------------------------------------
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+  Validation Accuracy: 0.9994
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+  Validation Loss: 0.0014
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+  Validation Accuracy: 1.0000
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+  Validation Loss: 0.0003
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+  Validation Accuracy: 0.9998
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+  Validation Loss: 0.0003
+--------------------------------------------------
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+  Validation Loss: 0.0005
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+  Validation Accuracy: 0.9998
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+  Validation Accuracy: 1.0000
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+  Validation Accuracy: 0.9998
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+  Validation Accuracy: 0.9998
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+  Validation Accuracy: 1.0000
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+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
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+  Validation Loss: 0.0006
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0001
+  Validation Loss: 0.0004
+--------------------------------------------------

ResNet50/BINARY_ResNet50_Round2/BINARY_ResNet50_Round2.keras

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ResNet50/BINARY_ResNet50_Round2/classification_metrics.txt

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+Precision: 1.0000
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+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: 0.0000
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ResNet50/BINARY_ResNet50_Round2/testing_metrics.txt

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ResNet50/BINARY_ResNet50_Round2/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+  Training Accuracy: 0.9853
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0438
+  Validation Loss: 0.0035
+--------------------------------------------------
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ResNet50/BINARY_ResNet50_Round3/BINARY_ResNet50_Round3.keras

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ResNet50/BINARY_ResNet50_Round3/classification_metrics.txt

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ResNet50/BINARY_ResNet50_Round3/testing_metrics.txt

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ResNet50/BINARY_ResNet50_Round3/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+  Training Accuracy: 0.9855
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0445
+  Validation Loss: 0.0033
+--------------------------------------------------
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+--------------------------------------------------
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ResNet50/BINARY_ResNet50_Round4/BINARY_ResNet50_Round4.keras

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ResNet50/BINARY_ResNet50_Round4/classification_metrics.txt

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ResNet50/BINARY_ResNet50_Round4/testing_metrics.txt

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ResNet50/BINARY_ResNet50_Round4/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+  Validation Accuracy: 0.9988
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+  Validation Accuracy: 1.0000
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+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0002
+  Validation Loss: 0.0004
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0001
+  Validation Loss: 0.0012
+--------------------------------------------------

ResNet50/BINARY_ResNet50_Round5/BINARY_ResNet50_Round5.keras

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+oid sha256:fdfe90f6ddb2a066dad02e120e41d8732a43f6a7c0aa6fb224c3ea4fbc0522d6
+size 101310022

ResNet50/BINARY_ResNet50_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: 0.0001
+F0.5-Score: 1.0000

ResNet50/BINARY_ResNet50_Round5/testing_metrics.txt

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+accuracy: 1.0000
+auc: 1.0000
+loss: 0.0001

ResNet50/BINARY_ResNet50_Round5/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1
+  Training Accuracy: 0.9837
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0488
+  Validation Loss: 0.0039
+--------------------------------------------------
+Epoch 2
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0055
+  Validation Loss: 0.0019
+--------------------------------------------------
+Epoch 3
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0026
+  Validation Loss: 0.0013
+--------------------------------------------------
+Epoch 4
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0017
+  Validation Loss: 0.0010
+--------------------------------------------------
+Epoch 5
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0018
+  Validation Loss: 0.0007
+--------------------------------------------------
+Epoch 6
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0008
+  Validation Loss: 0.0006
+--------------------------------------------------
+Epoch 7
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0008
+  Validation Loss: 0.0007
+--------------------------------------------------
+Epoch 8
+  Training Accuracy: 0.9998
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0005
+  Validation Loss: 0.0004
+--------------------------------------------------
+Epoch 9
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0006
+  Validation Loss: 0.0004
+--------------------------------------------------
+Epoch 10
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0004
+  Validation Loss: 0.0004
+--------------------------------------------------
+Epoch 11
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0004
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 12
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0005
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 13
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 14
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0002
+  Validation Loss: 0.0005
+--------------------------------------------------
+Epoch 15
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 16
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 17
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 18
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0002
+  Validation Loss: 0.0015
+--------------------------------------------------
+Epoch 19
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0000
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 20
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 21
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0000
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 22
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0000
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0000
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0000
+  Validation Loss: 0.0006
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0002
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0002
+  Validation Loss: 0.0008
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0000
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0002
+--------------------------------------------------