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ConvNeXtBase/BINARY_ConvNeXtBase_Round1/BINARY_ConvNeXtBase_Round1.keras

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ConvNeXtBase/BINARY_ConvNeXtBase_Round1/classification_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round1/testing_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round1/training_validation_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round2/BINARY_ConvNeXtBase_Round2.keras

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ConvNeXtBase/BINARY_ConvNeXtBase_Round2/classification_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round2/testing_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round2/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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ConvNeXtBase/BINARY_ConvNeXtBase_Round3/BINARY_ConvNeXtBase_Round3.keras

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ConvNeXtBase/BINARY_ConvNeXtBase_Round3/classification_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round3/testing_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round3/training_validation_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round4/testing_metrics.txt

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ConvNeXtBase/BINARY_ConvNeXtBase_Round4/training_validation_metrics.txt

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+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0002
+  Validation Loss: 0.0008
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0001
+  Validation Loss: 0.0019
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0009
+--------------------------------------------------

ConvNeXtBase/BINARY_ConvNeXtBase_Round5/BINARY_ConvNeXtBase_Round5.keras

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+size 354388232

ConvNeXtBase/BINARY_ConvNeXtBase_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

ConvNeXtBase/BINARY_ConvNeXtBase_Round5/testing_metrics.txt

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

ConvNeXtBase/BINARY_ConvNeXtBase_Round5/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1
+  Training Accuracy: 0.9778
+  Validation Accuracy: 0.9984
+  Training Loss: 0.0777
+  Validation Loss: 0.0122
+--------------------------------------------------
+Epoch 2
+  Training Accuracy: 0.9983
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0092
+  Validation Loss: 0.0054
+--------------------------------------------------
+Epoch 3
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0046
+  Validation Loss: 0.0043
+--------------------------------------------------
+Epoch 4
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0029
+  Validation Loss: 0.0022
+--------------------------------------------------
+Epoch 5
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0018
+  Validation Loss: 0.0018
+--------------------------------------------------
+Epoch 6
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0019
+  Validation Loss: 0.0012
+--------------------------------------------------
+Epoch 7
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0013
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 8
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0009
+  Validation Loss: 0.0014
+--------------------------------------------------
+Epoch 9
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0010
+  Validation Loss: 0.0013
+--------------------------------------------------
+Epoch 10
+  Training Accuracy: 0.9998
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0009
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 11
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0006
+  Validation Loss: 0.0015
+--------------------------------------------------
+Epoch 12
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0005
+  Validation Loss: 0.0012
+--------------------------------------------------
+Epoch 13
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0003
+  Validation Loss: 0.0012
+--------------------------------------------------
+Epoch 14
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0005
+  Validation Loss: 0.0013
+--------------------------------------------------
+Epoch 15
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0005
+  Validation Loss: 0.0008
+--------------------------------------------------
+Epoch 16
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0002
+  Validation Loss: 0.0010
+--------------------------------------------------
+Epoch 17
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0009
+  Validation Loss: 0.0014
+--------------------------------------------------
+Epoch 18
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9994
+  Training Loss: 0.0004
+  Validation Loss: 0.0022
+--------------------------------------------------
+Epoch 19
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0003
+  Validation Loss: 0.0009
+--------------------------------------------------
+Epoch 20
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 21
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0002
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 22
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0003
+  Validation Loss: 0.0012
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0012
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0012
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0003
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0011
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0009
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 1.0000
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0010
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9999
+  Validation Accuracy: 0.9998
+  Training Loss: 0.0001
+  Validation Loss: 0.0011
+--------------------------------------------------