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@@ -57,3 +57,4 @@ NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_
 NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras filter=lfs diff=lfs merge=lfs -text
 NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras filter=lfs diff=lfs merge=lfs -text
 NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras filter=lfs diff=lfs merge=lfs -text
+DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/HELMINTHS_BINARY_DenseNet169_Round5.keras filter=lfs diff=lfs merge=lfs -text

DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/HELMINTHS_BINARY_DenseNet169_Round5.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6b3eb464ac64124dc2739a83e8f52c28acf2414b6ebb7a2be41f9bd0569c626
+size 57791210

DenseNet169/HELMINTHS_BINARY_DenseNet169_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: 0.0000
+F0.5-Score: 1.0000

DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/testing_metrics.txt

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+accuracy: 1.0000
+auc: 1.0000
+loss: 0.0000

DenseNet169/HELMINTHS_BINARY_DenseNet169_Round5/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1
+  Training Accuracy: 0.9859
+  Validation Accuracy: 0.9925
+  Training Loss: 0.0526
+  Validation Loss: 0.0249
+--------------------------------------------------
+Epoch 2
+  Training Accuracy: 0.9964
+  Validation Accuracy: 0.9977
+  Training Loss: 0.0128
+  Validation Loss: 0.0077
+--------------------------------------------------
+Epoch 3
+  Training Accuracy: 0.9983
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0059
+  Validation Loss: 0.0035
+--------------------------------------------------
+Epoch 4
+  Training Accuracy: 0.9989
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0041
+  Validation Loss: 0.0020
+--------------------------------------------------
+Epoch 5
+  Training Accuracy: 0.9994
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0027
+  Validation Loss: 0.0012
+--------------------------------------------------
+Epoch 6
+  Training Accuracy: 0.9997
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0016
+  Validation Loss: 0.0010
+--------------------------------------------------
+Epoch 7
+  Training Accuracy: 0.9998
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0014
+  Validation Loss: 0.0010
+--------------------------------------------------
+Epoch 8
+  Training Accuracy: 0.9998
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0012
+  Validation Loss: 0.0007
+--------------------------------------------------
+Epoch 9
+  Training Accuracy: 0.9998
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0010
+  Validation Loss: 0.0006
+--------------------------------------------------
+Epoch 10
+  Training Accuracy: 0.9998
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0010
+  Validation Loss: 0.0007
+--------------------------------------------------
+Epoch 11
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0009
+  Validation Loss: 0.0004
+--------------------------------------------------
+Epoch 12
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0005
+  Validation Loss: 0.0004
+--------------------------------------------------
+Epoch 13
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0003
+  Validation Loss: 0.0004
+--------------------------------------------------
+Epoch 14
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0003
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 15
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0004
+  Validation Loss: 0.0006
+--------------------------------------------------
+Epoch 16
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0003
+  Validation Loss: 0.0003
+--------------------------------------------------
+Epoch 17
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0002
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 18
+  Training Accuracy: 0.9998
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0005
+  Validation Loss: 0.0007
+--------------------------------------------------
+Epoch 19
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0005
+--------------------------------------------------
+Epoch 20
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0002
+--------------------------------------------------
+Epoch 21
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0001
+--------------------------------------------------
+Epoch 22
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0004
+  Validation Loss: 0.0005
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0001
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0001
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0001
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 0.9999
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0002
+  Validation Loss: 0.0006
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0001
+  Validation Loss: 0.0001
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0000
+  Validation Loss: 0.0001
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0000
+  Validation Loss: 0.0000
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 1.0000
+  Validation Accuracy: 1.0000
+  Training Loss: 0.0000
+  Validation Loss: 0.0001
+--------------------------------------------------