diff --git a/DenseNet169/BINARY_DenseNet169_Round1/.ipynb_checkpoints/confusion_matrix-checkpoint.png b/DenseNet169/BINARY_DenseNet169_Round1/.ipynb_checkpoints/confusion_matrix-checkpoint.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..dbe311f6d474cd33cd8fa424f45ed43b65cbaa8c 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round1/.ipynb_checkpoints/confusion_matrix-checkpoint.png and b/DenseNet169/BINARY_DenseNet169_Round1/.ipynb_checkpoints/confusion_matrix-checkpoint.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round1/BINARY_DenseNet169_Round1.keras b/DenseNet169/BINARY_DenseNet169_Round1/BINARY_DenseNet169_Round1.keras index 960c427a530d2a3a338c5516d8854016f9ea3dca..41c198422b87cdb433eadb61ad21abf5c56a6d4b 100644 --- a/DenseNet169/BINARY_DenseNet169_Round1/BINARY_DenseNet169_Round1.keras +++ b/DenseNet169/BINARY_DenseNet169_Round1/BINARY_DenseNet169_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:8f982465e5fbe2c16be33995b753c209cbd4f0c109ec7981c51bcb9efa7c7f67 -size 57791210 +oid sha256:ac4e3fe3a83782d04138233b392000b7051fab62541bf2141a9fffcdab2414e8 +size 57802648 diff --git a/DenseNet169/BINARY_DenseNet169_Round1/classification_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round1/classification_metrics.txt index fe40085203fc50914f80f570e2a15484579e8e46..4c2805f6f0556a16d025944873af178a2d95d853 100644 --- a/DenseNet169/BINARY_DenseNet169_Round1/classification_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 1.0000 +Precision: 0.9996 Recall: 1.0000 Sensitivity: 1.0000 -Specificity: 1.0000 -F1-Score: 1.0000 +Specificity: 0.9996 +F1-Score: 0.9998 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 +MCC: 0.9996 +Cohen's Kappa: 0.9996 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0004 +F0.5-Score: 0.9997 diff --git a/DenseNet169/BINARY_DenseNet169_Round1/confusion_matrix.png b/DenseNet169/BINARY_DenseNet169_Round1/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..dbe311f6d474cd33cd8fa424f45ed43b65cbaa8c 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round1/confusion_matrix.png and b/DenseNet169/BINARY_DenseNet169_Round1/confusion_matrix.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round1/roc_curve.png b/DenseNet169/BINARY_DenseNet169_Round1/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round1/roc_curve.png and b/DenseNet169/BINARY_DenseNet169_Round1/roc_curve.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round1/testing_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round1/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..c3c8327ca33b8d48ea279edce1196249b99f9ca0 100644 --- a/DenseNet169/BINARY_DenseNet169_Round1/testing_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9998 auc: 1.0000 -loss: 0.0000 +loss: 0.0004 diff --git a/DenseNet169/BINARY_DenseNet169_Round1/training_accuracy.png b/DenseNet169/BINARY_DenseNet169_Round1/training_accuracy.png index 0b8b79abd43de7dccc4cb83e466a99bb3c26e5d5..dcdc848d570b528a7b023216675f35d22b46dd71 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round1/training_accuracy.png and b/DenseNet169/BINARY_DenseNet169_Round1/training_accuracy.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round1/training_loss.png b/DenseNet169/BINARY_DenseNet169_Round1/training_loss.png index edbb3f0575e4f4e6c1a25327d2ca5d4dddfc19f2..60e4bc9d26adeaac3ac3cec1b487372683b61276 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round1/training_loss.png and b/DenseNet169/BINARY_DenseNet169_Round1/training_loss.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round1/training_validation_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round1/training_validation_metrics.txt index b04f8def6d130765258a3d38c967e0cff2f0c456..6526215386b3b17171b33cf3d6a5d15df547937f 100644 --- a/DenseNet169/BINARY_DenseNet169_Round1/training_validation_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9773 - Validation Accuracy: 0.9976 - Training Loss: 0.0732 - Validation Loss: 0.0096 + Training Accuracy: 0.9785 + Validation Accuracy: 0.9960 + Training Loss: 0.0679 + Validation Loss: 0.0146 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9994 - Training Loss: 0.0093 - Validation Loss: 0.0037 + Training Accuracy: 0.9966 + Validation Accuracy: 0.9976 + Training Loss: 0.0139 + Validation Loss: 0.0079 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9996 - Training Loss: 0.0047 - Validation Loss: 0.0023 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9987 + Training Loss: 0.0084 + Validation Loss: 0.0045 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9992 - Training Loss: 0.0035 - Validation Loss: 0.0024 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9991 + Training Loss: 0.0060 + Validation Loss: 0.0035 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0022 - Validation Loss: 0.0016 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9991 + Training Loss: 0.0044 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9992 - Training Loss: 0.0019 - Validation Loss: 0.0023 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9995 + Training Loss: 0.0035 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0013 - Validation Loss: 0.0016 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9994 + Training Loss: 0.0030 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0014 - Validation Loss: 0.0015 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9994 + Training Loss: 0.0024 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0008 - Validation Loss: 0.0015 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0021 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 10 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0006 - Validation Loss: 0.0009 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0018 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0005 - Validation Loss: 0.0008 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0016 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0004 - Validation Loss: 0.0008 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9997 + Training Loss: 0.0016 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0007 - Validation Loss: 0.0007 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0012 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 14 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0006 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0013 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9993 + Training Loss: 0.0017 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 + Training Accuracy: 0.9998 Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0008 + Training Loss: 0.0012 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0007 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9995 + Training Loss: 0.0012 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0005 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0008 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9998 + Training Loss: 0.0010 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 22 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9992 - Training Loss: 0.0002 - Validation Loss: 0.0020 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0007 + Training Loss: 0.0008 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0006 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0006 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0008 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9995 + Training Loss: 0.0012 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 29 Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0004 - Validation Loss: 0.0007 + Validation Accuracy: 0.9999 + Training Loss: 0.0008 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0005 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0008 + Validation Loss: 0.0004 -------------------------------------------------- diff --git a/DenseNet169/BINARY_DenseNet169_Round2/BINARY_DenseNet169_Round2.keras b/DenseNet169/BINARY_DenseNet169_Round2/BINARY_DenseNet169_Round2.keras index a8c2c58d373e3add992d20b4906165610358772d..8f084b840fa375f4d74d581f39c4b988318b9e1a 100644 --- a/DenseNet169/BINARY_DenseNet169_Round2/BINARY_DenseNet169_Round2.keras +++ b/DenseNet169/BINARY_DenseNet169_Round2/BINARY_DenseNet169_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:08d2b67f52bc8566604ebbd731ac34c8a40c40f8252e5cd6e9f82d2997e192f5 -size 57791210 +oid sha256:9b2a1961192f30e24ab6e963b2b3c4f6844340fbdaae8774b5e5ddcf4c4c8ca8 +size 57802648 diff --git a/DenseNet169/BINARY_DenseNet169_Round2/classification_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round2/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..92f8c183478fd6a53010b064ed73f95b863d4ed0 100644 --- a/DenseNet169/BINARY_DenseNet169_Round2/classification_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round2/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 1.0000 -Sensitivity: 1.0000 +Recall: 0.9996 +Sensitivity: 0.9996 Specificity: 1.0000 -F1-Score: 1.0000 +F1-Score: 0.9998 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 +MCC: 0.9996 +Cohen's Kappa: 0.9996 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0002 +F0.5-Score: 0.9999 diff --git a/DenseNet169/BINARY_DenseNet169_Round2/confusion_matrix.png b/DenseNet169/BINARY_DenseNet169_Round2/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..b2d6fede71ee9bcf3d16a76d4d2bae84b01f89fe 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round2/confusion_matrix.png and b/DenseNet169/BINARY_DenseNet169_Round2/confusion_matrix.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round2/roc_curve.png b/DenseNet169/BINARY_DenseNet169_Round2/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round2/roc_curve.png and b/DenseNet169/BINARY_DenseNet169_Round2/roc_curve.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round2/testing_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round2/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..bab08febb9bb34f85ffc84eb42aa52ca6816037f 100644 --- a/DenseNet169/BINARY_DenseNet169_Round2/testing_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9998 auc: 1.0000 -loss: 0.0000 +loss: 0.0002 diff --git a/DenseNet169/BINARY_DenseNet169_Round2/training_accuracy.png b/DenseNet169/BINARY_DenseNet169_Round2/training_accuracy.png index c1e4ec08d1887d665ef5c1fa585a1255c22b7774..5793ee9de667a2b549342f777056e633620d277e 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round2/training_accuracy.png and b/DenseNet169/BINARY_DenseNet169_Round2/training_accuracy.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round2/training_loss.png b/DenseNet169/BINARY_DenseNet169_Round2/training_loss.png index 3ba72bd4ec9664cd6f5d57595d24ccf455fed9a8..df8ede7994d4d7bfc9c64df06bd6ee5c6385ba31 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round2/training_loss.png and b/DenseNet169/BINARY_DenseNet169_Round2/training_loss.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round2/training_validation_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round2/training_validation_metrics.txt index a8880b0f2233d6540f09ecdacc0f4d27ce161811..ca2c24a213f509f70ad6fc3eb9c8f1c6fbef1752 100644 --- a/DenseNet169/BINARY_DenseNet169_Round2/training_validation_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9775 - Validation Accuracy: 0.9978 - Training Loss: 0.0756 - Validation Loss: 0.0087 + Training Accuracy: 0.9797 + Validation Accuracy: 0.9969 + Training Loss: 0.0669 + Validation Loss: 0.0133 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9992 - Training Loss: 0.0095 - Validation Loss: 0.0043 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9984 + Training Loss: 0.0139 + Validation Loss: 0.0064 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9996 - Training Loss: 0.0051 - Validation Loss: 0.0025 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9991 + Training Loss: 0.0079 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9998 - Training Loss: 0.0036 - Validation Loss: 0.0016 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9994 + Training Loss: 0.0056 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9996 - Training Loss: 0.0025 - Validation Loss: 0.0017 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9995 + Training Loss: 0.0047 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9998 - Training Loss: 0.0020 - Validation Loss: 0.0011 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9995 + Training Loss: 0.0029 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0013 - Validation Loss: 0.0015 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9995 + Training Loss: 0.0026 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9997 + Training Accuracy: 0.9993 Validation Accuracy: 0.9996 - Training Loss: 0.0012 - Validation Loss: 0.0010 + Training Loss: 0.0026 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0009 - Validation Loss: 0.0009 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0022 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0009 - Validation Loss: 0.0008 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9997 + Training Loss: 0.0020 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0005 - Validation Loss: 0.0007 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0015 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0008 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9995 + Training Loss: 0.0014 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0007 - Validation Loss: 0.0009 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0005 - Validation Loss: 0.0007 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0011 Validation Loss: 0.0008 -------------------------------------------------- Epoch 16 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0007 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0008 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9999 + Training Accuracy: 0.9996 Validation Accuracy: 0.9998 - Training Loss: 0.0003 + Training Loss: 0.0013 Validation Loss: 0.0007 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0011 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0005 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 20 Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Validation Accuracy: 0.9996 + Training Loss: 0.0005 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0012 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0010 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0007 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 27 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9999 + Training Loss: 0.0009 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 28 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 29 Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 30 Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Validation Accuracy: 0.9998 + Training Loss: 0.0003 + Validation Loss: 0.0004 -------------------------------------------------- diff --git a/DenseNet169/BINARY_DenseNet169_Round3/BINARY_DenseNet169_Round3.keras b/DenseNet169/BINARY_DenseNet169_Round3/BINARY_DenseNet169_Round3.keras index d3106af5f89a74e3dab598fd7f39bb3cbd750910..20d9ce6d4af04ea1cf9236a879b077d8b2d43ea3 100644 --- a/DenseNet169/BINARY_DenseNet169_Round3/BINARY_DenseNet169_Round3.keras +++ b/DenseNet169/BINARY_DenseNet169_Round3/BINARY_DenseNet169_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:3f7488a86e56380475bab670b1aeac9f505c351e317fc80af37fc4db6b14337e -size 57791210 +oid sha256:f7710e10ee360775c21c06ab7a7147794ba74f88ecc1d29ccc6d9ec0478bd19a +size 57802648 diff --git a/DenseNet169/BINARY_DenseNet169_Round3/classification_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round3/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..bf7bdf6d46fd75dc69a8e881adf897d70488956e 100644 --- a/DenseNet169/BINARY_DenseNet169_Round3/classification_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 1.0000 -Sensitivity: 1.0000 +Recall: 0.9996 +Sensitivity: 0.9996 Specificity: 1.0000 -F1-Score: 1.0000 +F1-Score: 0.9998 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 +MCC: 0.9996 +Cohen's Kappa: 0.9996 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0004 +F0.5-Score: 0.9999 diff --git a/DenseNet169/BINARY_DenseNet169_Round3/confusion_matrix.png b/DenseNet169/BINARY_DenseNet169_Round3/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..b2d6fede71ee9bcf3d16a76d4d2bae84b01f89fe 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round3/confusion_matrix.png and b/DenseNet169/BINARY_DenseNet169_Round3/confusion_matrix.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round3/roc_curve.png b/DenseNet169/BINARY_DenseNet169_Round3/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round3/roc_curve.png and b/DenseNet169/BINARY_DenseNet169_Round3/roc_curve.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round3/testing_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round3/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..c3c8327ca33b8d48ea279edce1196249b99f9ca0 100644 --- a/DenseNet169/BINARY_DenseNet169_Round3/testing_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9998 auc: 1.0000 -loss: 0.0000 +loss: 0.0004 diff --git a/DenseNet169/BINARY_DenseNet169_Round3/training_accuracy.png b/DenseNet169/BINARY_DenseNet169_Round3/training_accuracy.png index 4c0c720049a86397d57358f16df047baf9b5348e..faeb85fd53c8d38f97d6dca7b201d9a313d098bf 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round3/training_accuracy.png and b/DenseNet169/BINARY_DenseNet169_Round3/training_accuracy.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round3/training_loss.png b/DenseNet169/BINARY_DenseNet169_Round3/training_loss.png index 8f3edd7527786d5bbeed4bd5da2939cead32a6ec..2687ee420092348ef5df7f136540d14313337e57 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round3/training_loss.png and b/DenseNet169/BINARY_DenseNet169_Round3/training_loss.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round3/training_validation_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round3/training_validation_metrics.txt index ccfdbcfbabbc45041be7b1f4d68b94b121e57cc0..1092a39c37aa7778f58f9a127b750249226b4260 100644 --- a/DenseNet169/BINARY_DenseNet169_Round3/training_validation_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9708 - Validation Accuracy: 0.9970 - Training Loss: 0.0846 - Validation Loss: 0.0106 + Training Accuracy: 0.9734 + Validation Accuracy: 0.9957 + Training Loss: 0.0791 + Validation Loss: 0.0167 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9980 - Validation Accuracy: 0.9992 - Training Loss: 0.0103 - Validation Loss: 0.0040 + Training Accuracy: 0.9959 + Validation Accuracy: 0.9977 + Training Loss: 0.0156 + Validation Loss: 0.0083 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9996 - Training Loss: 0.0054 - Validation Loss: 0.0023 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9986 + Training Loss: 0.0092 + Validation Loss: 0.0051 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9998 - Training Loss: 0.0041 - Validation Loss: 0.0016 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9985 + Training Loss: 0.0063 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9998 - Training Loss: 0.0023 - Validation Loss: 0.0014 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9993 + Training Loss: 0.0045 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9998 - Training Loss: 0.0023 - Validation Loss: 0.0014 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9994 + Training Loss: 0.0035 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9998 - Training Loss: 0.0013 - Validation Loss: 0.0013 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9994 + Training Loss: 0.0029 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0009 - Validation Loss: 0.0011 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9995 + Training Loss: 0.0023 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9998 - Training Loss: 0.0013 - Validation Loss: 0.0009 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0020 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9998 - Training Loss: 0.0011 - Validation Loss: 0.0008 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9997 + Training Loss: 0.0021 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0008 - Validation Loss: 0.0008 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9997 + Training Loss: 0.0017 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0004 - Validation Loss: 0.0008 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0015 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 + Training Accuracy: 0.9995 Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0013 + Training Loss: 0.0015 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0014 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9995 + Training Loss: 0.0013 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 15 Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0005 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 16 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0013 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 17 Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0006 - Validation Loss: 0.0006 + Validation Accuracy: 0.9996 + Training Loss: 0.0009 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 18 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 Validation Loss: 0.0008 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0005 + Training Loss: 0.0005 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 Validation Loss: 0.0008 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9996 - Training Loss: 0.0001 - Validation Loss: 0.0006 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0006 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9996 - Training Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0008 Validation Loss: 0.0005 -------------------------------------------------- Epoch 25 Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0001 - Validation Loss: 0.0013 + Validation Accuracy: 0.9999 + Training Loss: 0.0004 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 28 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 29 Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Validation Accuracy: 0.9995 + Training Loss: 0.0005 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 + Validation Loss: 0.0008 -------------------------------------------------- diff --git a/DenseNet169/BINARY_DenseNet169_Round4/BINARY_DenseNet169_Round4.keras b/DenseNet169/BINARY_DenseNet169_Round4/BINARY_DenseNet169_Round4.keras index 1848d0681b6fd73d5560f92a828380a083c21f0b..3e5640bd911b36d71cb848c73697b4dd0e01caec 100644 --- a/DenseNet169/BINARY_DenseNet169_Round4/BINARY_DenseNet169_Round4.keras +++ b/DenseNet169/BINARY_DenseNet169_Round4/BINARY_DenseNet169_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:51431d1875636dec7b1d81f0631368b6d0350e0ebb89554c988a31f35ad3e3f0 -size 57791210 +oid sha256:b8becd73a1314db4c183468a80a19dfdf4a9e778f0a1daa65eeeaf2849954109 +size 57802648 diff --git a/DenseNet169/BINARY_DenseNet169_Round4/classification_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round4/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..350d6367134da940f74c2336886145abfab95869 100644 --- a/DenseNet169/BINARY_DenseNet169_Round4/classification_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round4/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 1.0000 Cohen's Kappa: 1.0000 Balanced Accuracy: 1.0000 Jaccard Index: 1.0000 -Log Loss: 0.0000 +Log Loss: 0.0002 F0.5-Score: 1.0000 diff --git a/DenseNet169/BINARY_DenseNet169_Round4/confusion_matrix.png b/DenseNet169/BINARY_DenseNet169_Round4/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..785b56340d550844a7b9ba0bde643908d8d056fb 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round4/confusion_matrix.png and b/DenseNet169/BINARY_DenseNet169_Round4/confusion_matrix.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round4/roc_curve.png b/DenseNet169/BINARY_DenseNet169_Round4/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round4/roc_curve.png and b/DenseNet169/BINARY_DenseNet169_Round4/roc_curve.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round4/testing_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round4/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..58027bd0e6549d695cd1668205081d8ef03f512b 100644 --- a/DenseNet169/BINARY_DenseNet169_Round4/testing_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0000 +loss: 0.0002 diff --git a/DenseNet169/BINARY_DenseNet169_Round4/training_accuracy.png b/DenseNet169/BINARY_DenseNet169_Round4/training_accuracy.png index b5b23adfb3f8165ba21b87f96b51f3d49574173d..d0ee5e46ea06901678435cae2057a710df52c19c 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round4/training_accuracy.png and b/DenseNet169/BINARY_DenseNet169_Round4/training_accuracy.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round4/training_loss.png b/DenseNet169/BINARY_DenseNet169_Round4/training_loss.png index e5554131fd34b596ad8f4528a7d3cbe9ecd8041e..7f4d2ece00193d7cc73607dc43e418f0f99efe07 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round4/training_loss.png and b/DenseNet169/BINARY_DenseNet169_Round4/training_loss.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round4/training_validation_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round4/training_validation_metrics.txt index 9f0956ba391589f2a20dba12ed22f406c492db12..ca3b4dfdcf12e8005b45b4e987f1a209efa89d09 100644 --- a/DenseNet169/BINARY_DenseNet169_Round4/training_validation_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9737 - Validation Accuracy: 0.9978 - Training Loss: 0.0837 - Validation Loss: 0.0097 + Training Accuracy: 0.9753 + Validation Accuracy: 0.9962 + Training Loss: 0.0722 + Validation Loss: 0.0145 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9990 - Training Loss: 0.0099 - Validation Loss: 0.0041 + Training Accuracy: 0.9960 + Validation Accuracy: 0.9979 + Training Loss: 0.0141 + Validation Loss: 0.0071 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9990 - Training Loss: 0.0055 - Validation Loss: 0.0035 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9988 + Training Loss: 0.0082 + Validation Loss: 0.0048 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9996 - Training Loss: 0.0037 - Validation Loss: 0.0019 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9993 + Training Loss: 0.0059 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9998 - Training Loss: 0.0030 - Validation Loss: 0.0018 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9994 + Training Loss: 0.0045 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9998 - Training Loss: 0.0016 - Validation Loss: 0.0014 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9992 + Training Loss: 0.0034 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9996 - Validation Accuracy: 1.0000 - Training Loss: 0.0016 - Validation Loss: 0.0008 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9995 + Training Loss: 0.0031 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9998 - Validation Accuracy: 1.0000 - Training Loss: 0.0012 - Validation Loss: 0.0010 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9995 + Training Loss: 0.0025 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0008 - Validation Loss: 0.0007 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0022 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9998 - Training Loss: 0.0009 - Validation Loss: 0.0006 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9995 + Training Loss: 0.0022 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0008 - Validation Loss: 0.0006 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9995 + Training Loss: 0.0017 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0004 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0017 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 13 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9995 + Training Loss: 0.0010 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0013 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0005 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9999 + Training Loss: 0.0012 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9995 + Training Loss: 0.0009 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0010 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0007 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0010 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9998 + Training Loss: 0.0007 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 + Training Accuracy: 0.9997 Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Loss: 0.0009 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0012 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 + Training Accuracy: 0.9998 Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Loss: 0.0008 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 28 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Loss: 0.0007 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0007 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 0.9998 - Training Loss: 0.0000 - Validation Loss: 0.0004 + Training Loss: 0.0006 + Validation Loss: 0.0005 -------------------------------------------------- diff --git a/DenseNet169/BINARY_DenseNet169_Round5/BINARY_DenseNet169_Round5.keras b/DenseNet169/BINARY_DenseNet169_Round5/BINARY_DenseNet169_Round5.keras index 6f17d81bc51397da10e17ad81463afcfd4af5ef7..51d895ce30c4a76ac874c7c6bf04730c55989dcb 100644 --- a/DenseNet169/BINARY_DenseNet169_Round5/BINARY_DenseNet169_Round5.keras +++ b/DenseNet169/BINARY_DenseNet169_Round5/BINARY_DenseNet169_Round5.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:f1c1c075cbfaafe3f29655fc3566f29a653cfb4c33427fa218d77f2f14920ae7 -size 57791210 +oid sha256:927a95e96d994190f5510720c246ae42b6068766fbab7223200f5ef73224be65 +size 57802648 diff --git a/DenseNet169/BINARY_DenseNet169_Round5/classification_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round5/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..078c36eb3c2c6d3775581ab09500b95310547d2c 100644 --- a/DenseNet169/BINARY_DenseNet169_Round5/classification_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round5/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 1.0000 -Sensitivity: 1.0000 +Recall: 0.9996 +Sensitivity: 0.9996 Specificity: 1.0000 -F1-Score: 1.0000 +F1-Score: 0.9998 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 +MCC: 0.9996 +Cohen's Kappa: 0.9996 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0005 +F0.5-Score: 0.9999 diff --git a/DenseNet169/BINARY_DenseNet169_Round5/confusion_matrix.png b/DenseNet169/BINARY_DenseNet169_Round5/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..b2d6fede71ee9bcf3d16a76d4d2bae84b01f89fe 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round5/confusion_matrix.png and b/DenseNet169/BINARY_DenseNet169_Round5/confusion_matrix.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round5/roc_curve.png b/DenseNet169/BINARY_DenseNet169_Round5/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round5/roc_curve.png and b/DenseNet169/BINARY_DenseNet169_Round5/roc_curve.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round5/testing_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round5/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..baa2f7df860b5468142316c921484445a10a4ba0 100644 --- a/DenseNet169/BINARY_DenseNet169_Round5/testing_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9998 auc: 1.0000 -loss: 0.0000 +loss: 0.0005 diff --git a/DenseNet169/BINARY_DenseNet169_Round5/training_accuracy.png b/DenseNet169/BINARY_DenseNet169_Round5/training_accuracy.png index ff4260e021cc60bc8da73f284835a503ad2675bf..a5201110e7ab8fd0ec93436c89b8591e7fb7409a 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round5/training_accuracy.png and b/DenseNet169/BINARY_DenseNet169_Round5/training_accuracy.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round5/training_loss.png b/DenseNet169/BINARY_DenseNet169_Round5/training_loss.png index 2fbc7fc8a47697070a6d75871debeaa01111f9be..f40823bbec29e434fec026312f9540dd05f2ef12 100644 Binary files a/DenseNet169/BINARY_DenseNet169_Round5/training_loss.png and b/DenseNet169/BINARY_DenseNet169_Round5/training_loss.png differ diff --git a/DenseNet169/BINARY_DenseNet169_Round5/training_validation_metrics.txt b/DenseNet169/BINARY_DenseNet169_Round5/training_validation_metrics.txt index a6e40a2b08ef453857e37d1b04ecbb94867ad5e2..b573a821a52766520d76c48445cf25e9018f4114 100644 --- a/DenseNet169/BINARY_DenseNet169_Round5/training_validation_metrics.txt +++ b/DenseNet169/BINARY_DenseNet169_Round5/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9743 - Validation Accuracy: 0.9976 - Training Loss: 0.0800 - Validation Loss: 0.0098 + Training Accuracy: 0.9793 + Validation Accuracy: 0.9960 + Training Loss: 0.0679 + Validation Loss: 0.0150 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9977 - Validation Accuracy: 0.9990 - Training Loss: 0.0104 - Validation Loss: 0.0040 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9982 + Training Loss: 0.0142 + Validation Loss: 0.0076 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9996 - Training Loss: 0.0056 - Validation Loss: 0.0025 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9986 + Training Loss: 0.0078 + Validation Loss: 0.0050 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9992 - Training Loss: 0.0034 - Validation Loss: 0.0023 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9991 + Training Loss: 0.0056 + Validation Loss: 0.0038 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9996 - Training Loss: 0.0027 - Validation Loss: 0.0016 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9995 + Training Loss: 0.0045 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9998 - Training Loss: 0.0019 - Validation Loss: 0.0012 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9995 + Training Loss: 0.0032 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0015 - Validation Loss: 0.0010 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9997 + Training Loss: 0.0029 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0010 - Validation Loss: 0.0007 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0023 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0010 - Validation Loss: 0.0007 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0020 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0008 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9997 + Training Loss: 0.0019 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0005 - Validation Loss: 0.0007 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0016 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 12 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0004 - Validation Loss: 0.0005 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0014 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0005 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9998 + Training Loss: 0.0012 Validation Loss: 0.0008 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0003 - Validation Loss: 0.0006 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9998 + Training Loss: 0.0016 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0007 - Validation Loss: 0.0005 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0014 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 16 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0005 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 17 Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0005 + Validation Accuracy: 0.9998 + Training Loss: 0.0009 Validation Loss: 0.0008 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0005 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0008 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0006 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9998 + Training Loss: 0.0009 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0007 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0007 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9995 + Training Loss: 0.0006 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0006 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 27 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0007 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 29 Training Accuracy: 0.9999 Validation Accuracy: 0.9998 - Training Loss: 0.0002 - Validation Loss: 0.0005 + Training Loss: 0.0004 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9998 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0004 -------------------------------------------------- diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/BINARY_EfficientNetB0_Round1.keras b/EfficientNetB0/BINARY_EfficientNetB0_Round1/BINARY_EfficientNetB0_Round1.keras index 0f3d700d8e58cd99f8b45cbe374597788ded07a8..28ea83c560cee7772cc025f68581dd34584ea61d 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round1/BINARY_EfficientNetB0_Round1.keras +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round1/BINARY_EfficientNetB0_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:e2e4ae3f436c1e821882ab09bb3c7a85ad7494796469330987ea995580eaee1f -size 20986130 +oid sha256:b3a3bb065a2731ebf65e445e245166a3e6c352f32684f2808f42477eeac6fbaf +size 20988790 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/classification_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round1/classification_metrics.txt index 350d6367134da940f74c2336886145abfab95869..951cbc20125e868c2c94cf0aa3ce20eff7ac1cc1 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round1/classification_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 1.0000 +Precision: 0.9996 Recall: 1.0000 Sensitivity: 1.0000 -Specificity: 1.0000 -F1-Score: 1.0000 +Specificity: 0.9996 +F1-Score: 0.9998 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 +MCC: 0.9996 +Cohen's Kappa: 0.9996 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0005 +F0.5-Score: 0.9997 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/confusion_matrix.png b/EfficientNetB0/BINARY_EfficientNetB0_Round1/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..dbe311f6d474cd33cd8fa424f45ed43b65cbaa8c 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round1/confusion_matrix.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round1/confusion_matrix.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/roc_curve.png b/EfficientNetB0/BINARY_EfficientNetB0_Round1/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round1/roc_curve.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round1/roc_curve.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/testing_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round1/testing_metrics.txt index 58027bd0e6549d695cd1668205081d8ef03f512b..baa2f7df860b5468142316c921484445a10a4ba0 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round1/testing_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9998 auc: 1.0000 -loss: 0.0002 +loss: 0.0005 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_accuracy.png b/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_accuracy.png index 37431a8ca2d3044bf0ebbd8235f5f49aa88a005b..a315a515484ace6d5e20d4a6d9b4c0487acad4a9 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_accuracy.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_accuracy.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_loss.png b/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_loss.png index 89ba4a3c92a273cacdfc23c446a7be08b33ed233..059082b53a8e75ed37942609c2bb16ca3784ca96 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_loss.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_loss.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_validation_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_validation_metrics.txt index ec5ebd499adbd4a7e485e2111cec64bb9af20d74..4036f626063a4801d1d22ee6914a67d69d146393 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_validation_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9660 - Validation Accuracy: 0.9932 - Training Loss: 0.1018 - Validation Loss: 0.0236 + Training Accuracy: 0.9694 + Validation Accuracy: 0.9956 + Training Loss: 0.0911 + Validation Loss: 0.0184 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9944 - Validation Accuracy: 0.9960 - Training Loss: 0.0204 - Validation Loss: 0.0136 + Training Accuracy: 0.9912 + Validation Accuracy: 0.9967 + Training Loss: 0.0280 + Validation Loss: 0.0126 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9972 - Validation Accuracy: 0.9972 - Training Loss: 0.0119 - Validation Loss: 0.0102 + Training Accuracy: 0.9938 + Validation Accuracy: 0.9973 + Training Loss: 0.0199 + Validation Loss: 0.0091 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9976 - Validation Accuracy: 0.9976 - Training Loss: 0.0086 - Validation Loss: 0.0080 + Training Accuracy: 0.9958 + Validation Accuracy: 0.9973 + Training Loss: 0.0144 + Validation Loss: 0.0082 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9982 - Training Loss: 0.0070 - Validation Loss: 0.0068 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9977 + Training Loss: 0.0124 + Validation Loss: 0.0064 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9986 + Training Accuracy: 0.9965 Validation Accuracy: 0.9982 - Training Loss: 0.0054 - Validation Loss: 0.0064 + Training Loss: 0.0102 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9986 - Training Loss: 0.0038 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9984 + Training Loss: 0.0090 Validation Loss: 0.0045 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9984 - Training Loss: 0.0042 - Validation Loss: 0.0050 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9986 + Training Loss: 0.0081 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9990 - Training Loss: 0.0031 - Validation Loss: 0.0036 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9982 + Training Loss: 0.0077 + Validation Loss: 0.0052 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9990 - Training Loss: 0.0029 - Validation Loss: 0.0038 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9986 + Training Loss: 0.0064 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9992 - Training Loss: 0.0024 - Validation Loss: 0.0031 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9986 + Training Loss: 0.0059 + Validation Loss: 0.0035 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9992 - Training Loss: 0.0020 - Validation Loss: 0.0029 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9987 + Training Loss: 0.0059 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9992 - Training Loss: 0.0018 - Validation Loss: 0.0032 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9991 + Training Loss: 0.0045 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0015 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9989 + Training Loss: 0.0046 Validation Loss: 0.0029 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0014 - Validation Loss: 0.0023 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9987 + Training Loss: 0.0053 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9994 - Training Loss: 0.0015 - Validation Loss: 0.0027 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9992 + Training Loss: 0.0045 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9996 + Training Accuracy: 0.9987 Validation Accuracy: 0.9990 - Training Loss: 0.0014 - Validation Loss: 0.0028 + Training Loss: 0.0041 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0010 - Validation Loss: 0.0023 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9991 + Training Loss: 0.0044 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0012 - Validation Loss: 0.0022 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9992 + Training Loss: 0.0037 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9994 - Training Loss: 0.0008 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9992 + Training Loss: 0.0042 Validation Loss: 0.0019 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0007 - Validation Loss: 0.0016 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9992 + Training Loss: 0.0040 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9998 + Training Accuracy: 0.9991 Validation Accuracy: 0.9992 - Training Loss: 0.0009 - Validation Loss: 0.0026 + Training Loss: 0.0032 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9996 - Training Loss: 0.0014 - Validation Loss: 0.0015 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0032 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9988 - Training Loss: 0.0011 - Validation Loss: 0.0039 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9993 + Training Loss: 0.0034 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0014 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9994 + Training Loss: 0.0034 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0018 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9994 + Training Loss: 0.0028 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0015 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9993 + Training Loss: 0.0032 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0006 - Validation Loss: 0.0020 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9993 + Training Loss: 0.0030 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0015 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9994 + Training Loss: 0.0028 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0016 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9994 + Training Loss: 0.0035 + Validation Loss: 0.0012 -------------------------------------------------- diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/BINARY_EfficientNetB0_Round2.keras b/EfficientNetB0/BINARY_EfficientNetB0_Round2/BINARY_EfficientNetB0_Round2.keras index 4da540e5b8ee54f2b732b8d09afb0093fc74edd2..3e3f5710db6826a003c61451bf34c7e7d079d9da 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round2/BINARY_EfficientNetB0_Round2.keras +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round2/BINARY_EfficientNetB0_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:372677850152b4ab4f0c583695a0d22a91631dfac40a2d0d899f3c0e8f8ebe4b -size 20986130 +oid sha256:293aa0a4ddffec6f8d13cb42f4629577bfa99c60ebcfe847eb3e0e8d863d3f3f +size 20988790 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/classification_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round2/classification_metrics.txt index 9ab23db9f6bf4d1d342c23c0758b7e2fc6424e8b..5e42ba616dd3947cda6235a62e4ff78ff555b510 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round2/classification_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round2/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 0.9992 Cohen's Kappa: 0.9992 Balanced Accuracy: 0.9996 Jaccard Index: 0.9992 -Log Loss: 0.0007 +Log Loss: 0.0010 F0.5-Score: 0.9994 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/confusion_matrix.png b/EfficientNetB0/BINARY_EfficientNetB0_Round2/confusion_matrix.png index 2b63c0b59728083427d0696b82350f6564d72732..2091202007962d4403b7bcdb7a2f2559c393a9f7 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round2/confusion_matrix.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round2/confusion_matrix.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/roc_curve.png b/EfficientNetB0/BINARY_EfficientNetB0_Round2/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round2/roc_curve.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round2/roc_curve.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/testing_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round2/testing_metrics.txt index f15c6439838cb363fa943eccae1ee1001efe81b4..6d2f3b9b762d780e210f0ff024cf47a7b1580396 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round2/testing_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 0.9996 auc: 1.0000 -loss: 0.0007 +loss: 0.0010 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_accuracy.png b/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_accuracy.png index 7919e30c149ffdeb1e1428af2270176188e47f69..b29f78e359e307eb7aee7875c605ae691a499a66 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_accuracy.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_accuracy.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_loss.png b/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_loss.png index d331156fb9dd60dab76bcbe0d9d840be6b795295..b4945c4a4943e72bc3982604cabcb1295793c933 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_loss.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_loss.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_validation_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_validation_metrics.txt index cccc63b2c2d8f72276d35ae734eec0c423ee377f..cf72f419bd18635403fe915f9947a5b2831e6866 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_validation_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9704 - Validation Accuracy: 0.9938 - Training Loss: 0.0988 - Validation Loss: 0.0231 + Training Accuracy: 0.9702 + Validation Accuracy: 0.9954 + Training Loss: 0.0933 + Validation Loss: 0.0199 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9950 - Validation Accuracy: 0.9964 - Training Loss: 0.0206 - Validation Loss: 0.0124 + Training Accuracy: 0.9912 + Validation Accuracy: 0.9971 + Training Loss: 0.0285 + Validation Loss: 0.0110 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9970 - Validation Accuracy: 0.9976 - Training Loss: 0.0115 - Validation Loss: 0.0089 + Training Accuracy: 0.9938 + Validation Accuracy: 0.9975 + Training Loss: 0.0201 + Validation Loss: 0.0086 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9977 - Validation Accuracy: 0.9978 - Training Loss: 0.0083 - Validation Loss: 0.0068 + Training Accuracy: 0.9953 + Validation Accuracy: 0.9982 + Training Loss: 0.0149 + Validation Loss: 0.0065 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9982 - Training Loss: 0.0068 - Validation Loss: 0.0056 + Training Accuracy: 0.9962 + Validation Accuracy: 0.9979 + Training Loss: 0.0118 + Validation Loss: 0.0060 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9982 - Training Loss: 0.0050 - Validation Loss: 0.0056 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9986 + Training Loss: 0.0097 + Validation Loss: 0.0045 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9988 - Training Loss: 0.0039 - Validation Loss: 0.0044 + Training Accuracy: 0.9976 + Validation Accuracy: 0.9986 + Training Loss: 0.0088 + Validation Loss: 0.0045 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9989 + Training Accuracy: 0.9973 Validation Accuracy: 0.9986 - Training Loss: 0.0042 - Validation Loss: 0.0038 + Training Loss: 0.0082 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9992 - Training Loss: 0.0026 - Validation Loss: 0.0036 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9988 + Training Loss: 0.0075 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9992 - Training Loss: 0.0027 - Validation Loss: 0.0033 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9989 + Training Loss: 0.0069 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9990 - Training Loss: 0.0028 - Validation Loss: 0.0030 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9989 + Training Loss: 0.0059 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9990 - Training Loss: 0.0025 - Validation Loss: 0.0029 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9989 + Training Loss: 0.0057 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9992 - Training Loss: 0.0019 - Validation Loss: 0.0025 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9988 + Training Loss: 0.0053 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9994 - Training Loss: 0.0020 - Validation Loss: 0.0025 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9989 + Training Loss: 0.0044 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9992 - Training Loss: 0.0019 - Validation Loss: 0.0028 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9988 + Training Loss: 0.0046 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9992 - Training Loss: 0.0014 - Validation Loss: 0.0024 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9990 + Training Loss: 0.0039 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9992 - Training Loss: 0.0018 - Validation Loss: 0.0019 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9985 + Training Loss: 0.0044 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9996 + Training Accuracy: 0.9986 Validation Accuracy: 0.9994 - Training Loss: 0.0012 - Validation Loss: 0.0021 + Training Loss: 0.0040 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0013 - Validation Loss: 0.0023 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9991 + Training Loss: 0.0043 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9994 - Training Loss: 0.0007 - Validation Loss: 0.0023 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9990 + Training Loss: 0.0036 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9996 - Training Loss: 0.0015 - Validation Loss: 0.0017 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9990 + Training Loss: 0.0041 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0009 - Validation Loss: 0.0019 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9993 + Training Loss: 0.0041 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9999 + Training Accuracy: 0.9990 Validation Accuracy: 0.9994 - Training Loss: 0.0008 - Validation Loss: 0.0021 + Training Loss: 0.0033 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0009 - Validation Loss: 0.0018 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9992 + Training Loss: 0.0040 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9994 - Training Loss: 0.0004 - Validation Loss: 0.0016 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9992 + Training Loss: 0.0029 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0009 - Validation Loss: 0.0020 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9993 + Training Loss: 0.0032 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9994 - Training Loss: 0.0009 - Validation Loss: 0.0022 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9991 + Training Loss: 0.0027 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9994 - Training Loss: 0.0008 - Validation Loss: 0.0019 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9991 + Training Loss: 0.0028 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9992 - Training Loss: 0.0011 - Validation Loss: 0.0018 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9995 + Training Loss: 0.0025 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9994 - Training Loss: 0.0011 - Validation Loss: 0.0019 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9993 + Training Loss: 0.0027 + Validation Loss: 0.0018 -------------------------------------------------- diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/BINARY_EfficientNetB0_Round3.keras b/EfficientNetB0/BINARY_EfficientNetB0_Round3/BINARY_EfficientNetB0_Round3.keras index e48724783a057b766a49ecb77361749a803d42cd..d7f78c14e93815ff38e04d35a70b21bb5dd4c987 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round3/BINARY_EfficientNetB0_Round3.keras +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round3/BINARY_EfficientNetB0_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:74feccd96227dd9ac7818955bdec99754a9e71cee69e39ff45e9ac0d3e95d58d -size 20986130 +oid sha256:f77e8aa1c5fe7adeff8b13aab12dfbd3206c9b6fedb73131579adfc475137f05 +size 20988790 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/classification_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round3/classification_metrics.txt index 350d6367134da940f74c2336886145abfab95869..1b7c009be37e53bbc002bdc8198cf7aeec0a12cf 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round3/classification_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 1.0000 +Precision: 0.9996 Recall: 1.0000 Sensitivity: 1.0000 -Specificity: 1.0000 -F1-Score: 1.0000 +Specificity: 0.9996 +F1-Score: 0.9998 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 +MCC: 0.9996 +Cohen's Kappa: 0.9996 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0011 +F0.5-Score: 0.9997 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/confusion_matrix.png b/EfficientNetB0/BINARY_EfficientNetB0_Round3/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..dbe311f6d474cd33cd8fa424f45ed43b65cbaa8c 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round3/confusion_matrix.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round3/confusion_matrix.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/roc_curve.png b/EfficientNetB0/BINARY_EfficientNetB0_Round3/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round3/roc_curve.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round3/roc_curve.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/testing_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round3/testing_metrics.txt index 58027bd0e6549d695cd1668205081d8ef03f512b..afb852115fbaaf2e21979aff049bf7b6244d5598 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round3/testing_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9998 auc: 1.0000 -loss: 0.0002 +loss: 0.0011 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_accuracy.png b/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_accuracy.png index 41759fb6650ed5e9cd12597ba0b7de63d2fb1a71..96b3a89a6c755a1996115f0ad55c5fd31228d9a4 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_accuracy.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_accuracy.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_loss.png b/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_loss.png index 83097f19d5b7be96fabce505b880234bc7993d79..eb42d79565c212a9a9077344ffb51a9d1516357b 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_loss.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_loss.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_validation_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_validation_metrics.txt index 7385fc0e53da5f885e2c97fdc899d3c052bc36bf..372f67abab1d74b44286e48b30eebf1653b90825 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_validation_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9750 - Validation Accuracy: 0.9936 - Training Loss: 0.0924 - Validation Loss: 0.0226 + Training Accuracy: 0.9703 + Validation Accuracy: 0.9952 + Training Loss: 0.0932 + Validation Loss: 0.0197 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9956 - Validation Accuracy: 0.9958 - Training Loss: 0.0195 - Validation Loss: 0.0126 + Training Accuracy: 0.9910 + Validation Accuracy: 0.9964 + Training Loss: 0.0283 + Validation Loss: 0.0128 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9970 - Validation Accuracy: 0.9972 - Training Loss: 0.0118 - Validation Loss: 0.0094 + Training Accuracy: 0.9941 + Validation Accuracy: 0.9975 + Training Loss: 0.0191 + Validation Loss: 0.0082 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9977 - Validation Accuracy: 0.9980 - Training Loss: 0.0092 - Validation Loss: 0.0073 + Training Accuracy: 0.9948 + Validation Accuracy: 0.9974 + Training Loss: 0.0155 + Validation Loss: 0.0078 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9980 - Training Loss: 0.0074 - Validation Loss: 0.0063 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9977 + Training Loss: 0.0124 + Validation Loss: 0.0061 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9984 - Training Loss: 0.0050 - Validation Loss: 0.0049 --------------------------------------------------- -Epoch 7 - Training Accuracy: 0.9987 + Training Accuracy: 0.9972 Validation Accuracy: 0.9986 - Training Loss: 0.0045 + Training Loss: 0.0097 Validation Loss: 0.0044 -------------------------------------------------- +Epoch 7 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9981 + Training Loss: 0.0092 + Validation Loss: 0.0048 +-------------------------------------------------- Epoch 8 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9988 - Training Loss: 0.0039 - Validation Loss: 0.0043 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9986 + Training Loss: 0.0087 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9988 - Training Loss: 0.0023 - Validation Loss: 0.0038 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9987 + Training Loss: 0.0074 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9994 - Training Loss: 0.0027 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9986 + Training Loss: 0.0062 Validation Loss: 0.0033 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9990 - Training Loss: 0.0029 - Validation Loss: 0.0035 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9987 + Training Loss: 0.0055 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0015 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9989 + Training Loss: 0.0065 Validation Loss: 0.0027 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9992 - Training Loss: 0.0021 - Validation Loss: 0.0029 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9991 + Training Loss: 0.0048 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9992 - Training Loss: 0.0023 - Validation Loss: 0.0029 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9991 + Training Loss: 0.0048 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9994 - Training Loss: 0.0015 - Validation Loss: 0.0025 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9990 + Training Loss: 0.0048 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0016 - Validation Loss: 0.0022 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9991 + Training Loss: 0.0041 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0024 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9991 + Training Loss: 0.0045 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0012 - Validation Loss: 0.0025 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0036 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9996 - Training Loss: 0.0014 - Validation Loss: 0.0018 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9988 + Training Loss: 0.0035 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9996 - Training Loss: 0.0015 - Validation Loss: 0.0014 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9992 + Training Loss: 0.0038 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9994 - Training Loss: 0.0007 - Validation Loss: 0.0018 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9989 + Training Loss: 0.0037 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0008 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9991 + Training Loss: 0.0039 Validation Loss: 0.0017 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0017 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9993 + Training Loss: 0.0033 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9994 - Training Loss: 0.0013 - Validation Loss: 0.0018 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9992 + Training Loss: 0.0030 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0007 - Validation Loss: 0.0017 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9991 + Training Loss: 0.0030 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0007 - Validation Loss: 0.0020 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9993 + Training Loss: 0.0033 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0008 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0031 Validation Loss: 0.0014 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0005 - Validation Loss: 0.0018 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9993 + Training Loss: 0.0025 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0009 - Validation Loss: 0.0016 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9993 + Training Loss: 0.0030 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0012 - Validation Loss: 0.0022 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9995 + Training Loss: 0.0028 + Validation Loss: 0.0024 -------------------------------------------------- diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round4/BINARY_EfficientNetB0_Round4.keras b/EfficientNetB0/BINARY_EfficientNetB0_Round4/BINARY_EfficientNetB0_Round4.keras index 75d418d8bba1440a49328b713c141d4210b5ed22..e3f83ac423bd7382fb4ec14944f98ed93a923f79 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round4/BINARY_EfficientNetB0_Round4.keras +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round4/BINARY_EfficientNetB0_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:5f4d996a22111248f22d1fb7cb5bec8dbec59f6c4db459486e5e83bdb60c9ab1 -size 20986130 +oid sha256:a923ca7e96ba441c34ca1420fe166a359285bebc58dea8a30b779e7efbb8173d +size 20988790 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round4/classification_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round4/classification_metrics.txt index 350d6367134da940f74c2336886145abfab95869..99395004ad2d12007611b334562a853897d9fb2d 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round4/classification_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round4/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 1.0000 Cohen's Kappa: 1.0000 Balanced Accuracy: 1.0000 Jaccard Index: 1.0000 -Log Loss: 0.0002 +Log Loss: 0.0005 F0.5-Score: 1.0000 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round4/confusion_matrix.png b/EfficientNetB0/BINARY_EfficientNetB0_Round4/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..785b56340d550844a7b9ba0bde643908d8d056fb 100644 Binary files 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a/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_accuracy.png b/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_accuracy.png index d0054a0f5f65490fa6564fab1638fa82aeb2f43f..e1fe798c255dc1b09d95668d32c0617c2f8b506d 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_accuracy.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_accuracy.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_loss.png b/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_loss.png index 3529a92b509bed0b8b655e16ef6fd297a22153fa..abf2444b8159a9461fa54f5e1c1e27a5b87f4f74 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_loss.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_loss.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_validation_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_validation_metrics.txt index f117fd9f2319c427539673cf627097e31eb3a14f..48d8f9ecd9d76411f628d85d3f2caddea9166c91 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_validation_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9745 - Validation Accuracy: 0.9942 - Training Loss: 0.0934 - Validation Loss: 0.0230 + Training Accuracy: 0.9716 + Validation Accuracy: 0.9956 + Training Loss: 0.0887 + Validation Loss: 0.0199 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9954 - Validation Accuracy: 0.9964 - Training Loss: 0.0196 - Validation Loss: 0.0137 + Training Accuracy: 0.9914 + Validation Accuracy: 0.9967 + Training Loss: 0.0291 + Validation Loss: 0.0114 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9973 - Validation Accuracy: 0.9974 - Training Loss: 0.0119 - Validation Loss: 0.0099 + Training Accuracy: 0.9943 + Validation Accuracy: 0.9976 + Training Loss: 0.0189 + Validation Loss: 0.0078 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9974 - Training Loss: 0.0084 - Validation Loss: 0.0086 + Training Accuracy: 0.9954 + Validation Accuracy: 0.9984 + Training Loss: 0.0153 + Validation Loss: 0.0065 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9984 - Training Loss: 0.0063 - Validation Loss: 0.0070 + Training Accuracy: 0.9967 + Validation Accuracy: 0.9977 + Training Loss: 0.0116 + Validation Loss: 0.0060 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9984 - Training Loss: 0.0055 - Validation Loss: 0.0049 + Training Accuracy: 0.9969 + Validation Accuracy: 0.9985 + Training Loss: 0.0102 + Validation Loss: 0.0048 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9988 - Training Loss: 0.0039 - Validation Loss: 0.0056 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9985 + Training Loss: 0.0088 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9986 - Training Loss: 0.0031 - Validation Loss: 0.0043 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9990 + Training Loss: 0.0080 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9992 - Training Loss: 0.0034 - Validation Loss: 0.0034 + Training Accuracy: 0.9974 + Validation Accuracy: 0.9990 + Training Loss: 0.0076 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9992 - Training Loss: 0.0031 - Validation Loss: 0.0033 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9987 + Training Loss: 0.0075 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9994 - Training Loss: 0.0023 - Validation Loss: 0.0028 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9989 + Training Loss: 0.0057 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9996 - Training Loss: 0.0019 - Validation Loss: 0.0028 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9985 + Training Loss: 0.0050 + Validation Loss: 0.0036 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9996 - Training Loss: 0.0018 - Validation Loss: 0.0024 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9986 + Training Loss: 0.0059 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9992 - Training Loss: 0.0015 - Validation Loss: 0.0029 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9991 + Training Loss: 0.0043 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0015 - Validation Loss: 0.0020 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9988 + Training Loss: 0.0049 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9988 - Training Loss: 0.0016 - Validation Loss: 0.0031 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9991 + Training Loss: 0.0041 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0012 - Validation Loss: 0.0022 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9993 + Training Loss: 0.0041 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0012 - Validation Loss: 0.0019 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9991 + Training Loss: 0.0038 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0011 - Validation Loss: 0.0022 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9991 + Training Loss: 0.0038 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9994 - Training Loss: 0.0011 - Validation Loss: 0.0021 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9992 + Training Loss: 0.0039 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9994 - Training Loss: 0.0015 - Validation Loss: 0.0024 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9993 + Training Loss: 0.0037 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 + Training Accuracy: 0.9991 Validation Accuracy: 0.9992 - Training Loss: 0.0008 - Validation Loss: 0.0025 + Training Loss: 0.0033 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0021 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0035 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0009 - Validation Loss: 0.0018 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9992 + Training Loss: 0.0041 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9994 - Training Loss: 0.0013 - Validation Loss: 0.0023 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9993 + Training Loss: 0.0027 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0019 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9993 + Training Loss: 0.0029 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0007 - Validation Loss: 0.0020 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9995 + Training Loss: 0.0031 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0007 - Validation Loss: 0.0017 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9992 + Training Loss: 0.0028 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0008 - Validation Loss: 0.0015 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9995 + Training Loss: 0.0034 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9998 - Training Loss: 0.0005 - Validation Loss: 0.0011 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9995 + Training Loss: 0.0033 + Validation Loss: 0.0013 -------------------------------------------------- diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/BINARY_EfficientNetB0_Round5.keras b/EfficientNetB0/BINARY_EfficientNetB0_Round5/BINARY_EfficientNetB0_Round5.keras index 7a65b592df28343be1a5b91012f21ac231c92b5c..2fc865e114c9518f77a6c6e076b70252616d50dc 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round5/BINARY_EfficientNetB0_Round5.keras +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round5/BINARY_EfficientNetB0_Round5.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:61e5c15d12290eeba0cb90be44aeed37aa511115912e5a1f68673c6bd79bb4b7 -size 20986130 +oid sha256:ba8c799a692771a1d9799010338a54e28aff342605cc4b21abd59233841c4062 +size 20988790 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/classification_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round5/classification_metrics.txt index 350d6367134da940f74c2336886145abfab95869..850e66636d33970f8336bba3784540dec33d547d 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round5/classification_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round5/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 1.0000 Cohen's Kappa: 1.0000 Balanced Accuracy: 1.0000 Jaccard Index: 1.0000 -Log Loss: 0.0002 +Log Loss: 0.0007 F0.5-Score: 1.0000 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/confusion_matrix.png b/EfficientNetB0/BINARY_EfficientNetB0_Round5/confusion_matrix.png index 9f529ae204663f2d457f293cdd09ea8f9b51935c..785b56340d550844a7b9ba0bde643908d8d056fb 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round5/confusion_matrix.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round5/confusion_matrix.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/roc_curve.png b/EfficientNetB0/BINARY_EfficientNetB0_Round5/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round5/roc_curve.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round5/roc_curve.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/testing_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round5/testing_metrics.txt index 58027bd0e6549d695cd1668205081d8ef03f512b..5432a7a963a13b655f5ca568f78c8914a81d9b87 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round5/testing_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0002 +loss: 0.0007 diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_accuracy.png b/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_accuracy.png index acdec11469fd2cb30e7573c8776db1fa9b1376e4..5758eefe4d4354b797a4e7c331e964ff0253769c 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_accuracy.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_accuracy.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_loss.png b/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_loss.png index 742f401493b424dc047b50d92870d3362faed1f7..9b0c2d42eb4ad4012251a6462f6af1fa7b73c5c3 100644 Binary files a/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_loss.png and b/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_loss.png differ diff --git a/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_validation_metrics.txt b/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_validation_metrics.txt index d9ba9a0164b028cf88266a5812d8b6fea67ea903..2f912161e312e397a1089903fc7b0059891ce5e5 100644 --- a/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_validation_metrics.txt +++ b/EfficientNetB0/BINARY_EfficientNetB0_Round5/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9736 - Validation Accuracy: 0.9930 - Training Loss: 0.0945 - Validation Loss: 0.0225 + Training Accuracy: 0.9697 + Validation Accuracy: 0.9947 + Training Loss: 0.0915 + Validation Loss: 0.0229 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9949 - Validation Accuracy: 0.9962 - Training Loss: 0.0196 - Validation Loss: 0.0126 + Training Accuracy: 0.9909 + Validation Accuracy: 0.9969 + Training Loss: 0.0290 + Validation Loss: 0.0125 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9967 - Validation Accuracy: 0.9972 - Training Loss: 0.0130 - Validation Loss: 0.0093 + Training Accuracy: 0.9938 + Validation Accuracy: 0.9970 + Training Loss: 0.0195 + Validation Loss: 0.0101 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9980 - Training Loss: 0.0075 - Validation Loss: 0.0071 + Training Accuracy: 0.9955 + Validation Accuracy: 0.9979 + Training Loss: 0.0151 + Validation Loss: 0.0069 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9984 - Training Loss: 0.0058 - Validation Loss: 0.0055 + Training Accuracy: 0.9964 + Validation Accuracy: 0.9983 + Training Loss: 0.0115 + Validation Loss: 0.0052 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9990 - Training Loss: 0.0050 - Validation Loss: 0.0047 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9978 + Training Loss: 0.0098 + Validation Loss: 0.0071 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9992 + Training Accuracy: 0.9969 Validation Accuracy: 0.9986 - Training Loss: 0.0041 - Validation Loss: 0.0051 + Training Loss: 0.0097 + Validation Loss: 0.0044 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9990 - Training Loss: 0.0043 - Validation Loss: 0.0037 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9984 + Training Loss: 0.0081 + Validation Loss: 0.0050 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9992 - Training Loss: 0.0032 - Validation Loss: 0.0037 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9983 + Training Loss: 0.0068 + Validation Loss: 0.0053 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9992 - Training Loss: 0.0023 - Validation Loss: 0.0034 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9987 + Training Loss: 0.0065 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9990 - Training Loss: 0.0025 - Validation Loss: 0.0031 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9978 + Training Loss: 0.0059 + Validation Loss: 0.0069 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9994 - Training Loss: 0.0021 - Validation Loss: 0.0030 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9982 + Training Loss: 0.0059 + Validation Loss: 0.0061 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0012 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9989 + Training Loss: 0.0050 Validation Loss: 0.0030 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9992 - Training Loss: 0.0012 - Validation Loss: 0.0032 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9987 + Training Loss: 0.0047 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9992 - Training Loss: 0.0016 - Validation Loss: 0.0028 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9989 + Training Loss: 0.0047 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9992 - Training Loss: 0.0013 - Validation Loss: 0.0030 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9988 + Training Loss: 0.0046 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9996 - Training Loss: 0.0015 - Validation Loss: 0.0025 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9991 + Training Loss: 0.0040 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9994 - Training Loss: 0.0011 - Validation Loss: 0.0025 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9991 + Training Loss: 0.0039 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9994 - Training Loss: 0.0010 - Validation Loss: 0.0024 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9989 + Training Loss: 0.0041 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9996 - Training Loss: 0.0016 - Validation Loss: 0.0022 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9992 + Training Loss: 0.0044 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0008 - Validation Loss: 0.0018 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9994 + Training Loss: 0.0041 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0008 - Validation Loss: 0.0018 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9992 + Training Loss: 0.0036 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0011 - Validation Loss: 0.0018 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9989 + Training Loss: 0.0038 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0011 - Validation Loss: 0.0017 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9993 + Training Loss: 0.0040 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0019 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9986 + Training Loss: 0.0032 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0022 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9992 + Training Loss: 0.0031 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0019 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9992 + Training Loss: 0.0030 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0022 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9994 + Training Loss: 0.0035 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9992 - Training Loss: 0.0006 - Validation Loss: 0.0031 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9993 + Training Loss: 0.0028 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0023 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9992 + Training Loss: 0.0028 + Validation Loss: 0.0017 -------------------------------------------------- diff --git a/VGG19/BINARY_VGG19_Round1/BINARY_VGG19_Round1.keras b/VGG19/BINARY_VGG19_Round1/BINARY_VGG19_Round1.keras index 6f3d1567bbe4dbe79138e62eb952aafe298b9715..c5fcfec08d810175a7e6b6fc7d22d3215ab19a2b 100644 --- a/VGG19/BINARY_VGG19_Round1/BINARY_VGG19_Round1.keras +++ b/VGG19/BINARY_VGG19_Round1/BINARY_VGG19_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:a8927df1368ebb49f554edac800e52227d86169165e0addf6bb4814d6392c1bc -size 81782090 +oid sha256:e429b8420f2f5d0a04bdf1f4128a49de476430994250f80a9322794805543382 +size 81782205 diff --git a/VGG19/BINARY_VGG19_Round1/classification_metrics.txt b/VGG19/BINARY_VGG19_Round1/classification_metrics.txt index 266c1c94de0ed2720c68fe1c0c724b842431c0e9..3ce932ddbd01893055ad7bea8590cf4ff7d39886 100644 --- a/VGG19/BINARY_VGG19_Round1/classification_metrics.txt +++ b/VGG19/BINARY_VGG19_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9914 -Recall (Sensitivity): 0.9984 -Sensitivity: 0.9984 -Specificity: 0.9911 -F1-Score: 0.9949 +Precision: 0.9988 +Recall: 0.9996 +Sensitivity: 0.9996 +Specificity: 0.9988 +F1-Score: 0.9992 AUC: 1.0000 -Matthews Correlation Coefficient (MCC): 0.9896 -Cohen's Kappa: 0.9896 -Balanced Accuracy: 0.9947 -Jaccard Index (IoU): 0.9898 -Log Loss: 0.0108 -F0.5-Score: 0.9928 +MCC: 0.9985 +Cohen's Kappa: 0.9985 +Balanced Accuracy: 0.9992 +Jaccard Index: 0.9985 +Log Loss: 0.0036 +F0.5-Score: 0.9990 diff --git a/VGG19/BINARY_VGG19_Round1/confusion_matrix.png b/VGG19/BINARY_VGG19_Round1/confusion_matrix.png index 6199caad5807b66addfcf3e83d1ab26ca6011e51..443f88fd431f0e6162350829a2510dd9a4e85a25 100644 Binary files a/VGG19/BINARY_VGG19_Round1/confusion_matrix.png and b/VGG19/BINARY_VGG19_Round1/confusion_matrix.png differ diff --git a/VGG19/BINARY_VGG19_Round1/roc_curve.png b/VGG19/BINARY_VGG19_Round1/roc_curve.png index 922383a405da98d56a479882460a82f6a3a26cbe..18b164993f153bcc93c00474f173f1811526e2c2 100644 Binary files a/VGG19/BINARY_VGG19_Round1/roc_curve.png and b/VGG19/BINARY_VGG19_Round1/roc_curve.png differ diff --git a/VGG19/BINARY_VGG19_Round1/testing_metrics.txt b/VGG19/BINARY_VGG19_Round1/testing_metrics.txt index 688a68eb15f5ee8d2cb079e0b210a8eb21c7938f..38f7a6e58d5fedbb65415a947ac52422ff34a91b 100644 --- a/VGG19/BINARY_VGG19_Round1/testing_metrics.txt +++ b/VGG19/BINARY_VGG19_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9948 -auc: 1.0000 -loss: 0.0108 +accuracy: 0.9992 +auc: 0.9998 +loss: 0.0036 diff --git a/VGG19/BINARY_VGG19_Round1/training_accuracy.png b/VGG19/BINARY_VGG19_Round1/training_accuracy.png index 68b527075d53c612945b07fafb5b4b55b002a591..69ef61595fcfed6e6f6d0a5ea1faa5c6f2efa846 100644 Binary files a/VGG19/BINARY_VGG19_Round1/training_accuracy.png and b/VGG19/BINARY_VGG19_Round1/training_accuracy.png differ diff --git a/VGG19/BINARY_VGG19_Round1/training_loss.png b/VGG19/BINARY_VGG19_Round1/training_loss.png index c789e56c8fd7b08c78fa8e855e29d08a62a0f791..49472a6c2bd1e1bcb603995a554945b02251c481 100644 Binary files a/VGG19/BINARY_VGG19_Round1/training_loss.png and b/VGG19/BINARY_VGG19_Round1/training_loss.png differ diff --git a/VGG19/BINARY_VGG19_Round1/training_validation_metrics.txt b/VGG19/BINARY_VGG19_Round1/training_validation_metrics.txt index ca75ec1c67aa642e450825ca458d6877c8061ab5..7388c84b2f594cb901375da29cd18ae02c3c32dd 100644 --- a/VGG19/BINARY_VGG19_Round1/training_validation_metrics.txt +++ b/VGG19/BINARY_VGG19_Round1/training_validation_metrics.txt @@ -1,122 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== -Epoch 1: - Training Accuracy: 0.8389, Validation Accuracy: 0.9549 - Training Loss: 0.3889, Validation Loss: 0.2038 --------------------------------------------------- -Epoch 2: - Training Accuracy: 0.9613, Validation Accuracy: 0.9741 - Training Loss: 0.1519, Validation Loss: 0.1051 --------------------------------------------------- -Epoch 3: - Training Accuracy: 0.9794, Validation Accuracy: 0.9808 - Training Loss: 0.0876, Validation Loss: 0.0706 --------------------------------------------------- -Epoch 4: - Training Accuracy: 0.9844, Validation Accuracy: 0.9866 - Training Loss: 0.0633, Validation Loss: 0.0530 --------------------------------------------------- -Epoch 5: - Training Accuracy: 0.9864, Validation Accuracy: 0.9896 - Training Loss: 0.0507, Validation Loss: 0.0427 --------------------------------------------------- -Epoch 6: - Training Accuracy: 0.9888, Validation Accuracy: 0.9890 - Training Loss: 0.0423, Validation Loss: 0.0388 --------------------------------------------------- -Epoch 7: - Training Accuracy: 0.9890, Validation Accuracy: 0.9908 - Training Loss: 0.0366, Validation Loss: 0.0323 --------------------------------------------------- -Epoch 8: - Training Accuracy: 0.9906, Validation Accuracy: 0.9916 - Training Loss: 0.0328, Validation Loss: 0.0298 --------------------------------------------------- -Epoch 9: - Training Accuracy: 0.9913, Validation Accuracy: 0.9916 - Training Loss: 0.0294, Validation Loss: 0.0269 --------------------------------------------------- -Epoch 10: - Training Accuracy: 0.9915, Validation Accuracy: 0.9924 - Training Loss: 0.0291, Validation Loss: 0.0256 --------------------------------------------------- -Epoch 11: - Training Accuracy: 0.9922, Validation Accuracy: 0.9926 - Training Loss: 0.0259, Validation Loss: 0.0246 --------------------------------------------------- -Epoch 12: - Training Accuracy: 0.9924, Validation Accuracy: 0.9924 - Training Loss: 0.0248, Validation Loss: 0.0237 --------------------------------------------------- -Epoch 13: - Training Accuracy: 0.9926, Validation Accuracy: 0.9930 - Training Loss: 0.0233, Validation Loss: 0.0218 --------------------------------------------------- -Epoch 14: - Training Accuracy: 0.9927, Validation Accuracy: 0.9932 - Training Loss: 0.0230, Validation Loss: 0.0202 --------------------------------------------------- -Epoch 15: - Training Accuracy: 0.9927, Validation Accuracy: 0.9932 - Training Loss: 0.0212, Validation Loss: 0.0200 --------------------------------------------------- -Epoch 16: - Training Accuracy: 0.9933, Validation Accuracy: 0.9926 - Training Loss: 0.0207, Validation Loss: 0.0210 --------------------------------------------------- -Epoch 17: - Training Accuracy: 0.9936, Validation Accuracy: 0.9940 - Training Loss: 0.0193, Validation Loss: 0.0189 --------------------------------------------------- -Epoch 18: - Training Accuracy: 0.9941, Validation Accuracy: 0.9938 - Training Loss: 0.0192, Validation Loss: 0.0188 --------------------------------------------------- -Epoch 19: - Training Accuracy: 0.9942, Validation Accuracy: 0.9938 - Training Loss: 0.0185, Validation Loss: 0.0181 --------------------------------------------------- -Epoch 20: - Training Accuracy: 0.9940, Validation Accuracy: 0.9938 - Training Loss: 0.0185, Validation Loss: 0.0180 --------------------------------------------------- -Epoch 21: - Training Accuracy: 0.9948, Validation Accuracy: 0.9950 - Training Loss: 0.0181, Validation Loss: 0.0167 --------------------------------------------------- -Epoch 22: - Training Accuracy: 0.9944, Validation Accuracy: 0.9952 - Training Loss: 0.0172, Validation Loss: 0.0159 --------------------------------------------------- -Epoch 23: - Training Accuracy: 0.9943, Validation Accuracy: 0.9954 - Training Loss: 0.0178, Validation Loss: 0.0160 --------------------------------------------------- -Epoch 24: - Training Accuracy: 0.9947, Validation Accuracy: 0.9954 - Training Loss: 0.0160, Validation Loss: 0.0160 --------------------------------------------------- -Epoch 25: - Training Accuracy: 0.9953, Validation Accuracy: 0.9956 - Training Loss: 0.0159, Validation Loss: 0.0154 --------------------------------------------------- -Epoch 26: - Training Accuracy: 0.9952, Validation Accuracy: 0.9960 - Training Loss: 0.0151, Validation Loss: 0.0147 --------------------------------------------------- -Epoch 27: - Training Accuracy: 0.9944, Validation Accuracy: 0.9944 - Training Loss: 0.0162, Validation Loss: 0.0162 --------------------------------------------------- -Epoch 28: - Training Accuracy: 0.9948, Validation Accuracy: 0.9960 - Training Loss: 0.0150, Validation Loss: 0.0146 --------------------------------------------------- -Epoch 29: - Training Accuracy: 0.9948, Validation Accuracy: 0.9958 - Training Loss: 0.0147, Validation Loss: 0.0145 --------------------------------------------------- -Epoch 30: - Training Accuracy: 0.9951, Validation Accuracy: 0.9960 - Training Loss: 0.0149, Validation Loss: 0.0136 +Epoch 1 + Training Accuracy: 0.9341 + Validation Accuracy: 0.9862 + Training Loss: 0.1668 + Validation Loss: 0.0386 +-------------------------------------------------- +Epoch 2 + Training Accuracy: 0.9860 + Validation Accuracy: 0.9912 + Training Loss: 0.0434 + Validation Loss: 0.0279 +-------------------------------------------------- +Epoch 3 + Training Accuracy: 0.9918 + Validation Accuracy: 0.9933 + Training Loss: 0.0285 + Validation Loss: 0.0204 +-------------------------------------------------- +Epoch 4 + Training Accuracy: 0.9937 + Validation Accuracy: 0.9947 + Training Loss: 0.0215 + Validation Loss: 0.0179 +-------------------------------------------------- +Epoch 5 + Training Accuracy: 0.9944 + Validation Accuracy: 0.9960 + Training Loss: 0.0180 + Validation Loss: 0.0128 +-------------------------------------------------- +Epoch 6 + Training Accuracy: 0.9955 + Validation Accuracy: 0.9968 + Training Loss: 0.0145 + Validation Loss: 0.0109 +-------------------------------------------------- +Epoch 7 + Training Accuracy: 0.9964 + Validation Accuracy: 0.9972 + Training Loss: 0.0119 + Validation Loss: 0.0097 +-------------------------------------------------- +Epoch 8 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9970 + Training Loss: 0.0106 + Validation Loss: 0.0084 +-------------------------------------------------- +Epoch 9 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9975 + Training Loss: 0.0094 + Validation Loss: 0.0080 +-------------------------------------------------- +Epoch 10 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9979 + Training Loss: 0.0092 + Validation Loss: 0.0071 +-------------------------------------------------- +Epoch 11 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9981 + Training Loss: 0.0076 + Validation Loss: 0.0064 +-------------------------------------------------- +Epoch 12 + Training Accuracy: 0.9976 + Validation Accuracy: 0.9985 + Training Loss: 0.0075 + Validation Loss: 0.0057 +-------------------------------------------------- +Epoch 13 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9986 + Training Loss: 0.0062 + Validation Loss: 0.0051 +-------------------------------------------------- +Epoch 14 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9986 + Training Loss: 0.0060 + Validation Loss: 0.0046 +-------------------------------------------------- +Epoch 15 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9987 + Training Loss: 0.0052 + Validation Loss: 0.0046 +-------------------------------------------------- +Epoch 16 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9986 + Training Loss: 0.0047 + Validation Loss: 0.0049 +-------------------------------------------------- +Epoch 17 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9986 + Training Loss: 0.0055 + Validation Loss: 0.0049 +-------------------------------------------------- +Epoch 18 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9987 + Training Loss: 0.0050 + Validation Loss: 0.0040 +-------------------------------------------------- +Epoch 19 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9988 + Training Loss: 0.0043 + Validation Loss: 0.0041 +-------------------------------------------------- +Epoch 20 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9987 + Training Loss: 0.0044 + Validation Loss: 0.0041 +-------------------------------------------------- +Epoch 21 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9987 + Training Loss: 0.0039 + Validation Loss: 0.0041 +-------------------------------------------------- +Epoch 22 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9988 + Training Loss: 0.0035 + Validation Loss: 0.0040 +-------------------------------------------------- +Epoch 23 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9987 + Training Loss: 0.0037 + Validation Loss: 0.0035 +-------------------------------------------------- +Epoch 24 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9987 + Training Loss: 0.0034 + Validation Loss: 0.0032 +-------------------------------------------------- +Epoch 25 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9989 + Training Loss: 0.0029 + Validation Loss: 0.0031 +-------------------------------------------------- +Epoch 26 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9990 + Training Loss: 0.0034 + Validation Loss: 0.0030 +-------------------------------------------------- +Epoch 27 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9991 + Training Loss: 0.0030 + Validation Loss: 0.0031 +-------------------------------------------------- +Epoch 28 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9990 + Training Loss: 0.0028 + Validation Loss: 0.0037 +-------------------------------------------------- +Epoch 29 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9987 + Training Loss: 0.0027 + Validation Loss: 0.0033 +-------------------------------------------------- +Epoch 30 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9987 + Training Loss: 0.0028 + Validation Loss: 0.0034 -------------------------------------------------- diff --git a/VGG19/BINARY_VGG19_Round2/BINARY_VGG19_Round2.keras b/VGG19/BINARY_VGG19_Round2/BINARY_VGG19_Round2.keras index 70261f674c40e8d836797ede3e528956d4e31ede..629340deadf8b62237d1948998fa6d64f01324ca 100644 --- a/VGG19/BINARY_VGG19_Round2/BINARY_VGG19_Round2.keras +++ b/VGG19/BINARY_VGG19_Round2/BINARY_VGG19_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:121e87a6416ba2ca93df5327a42eac11945f07fed2227c8c0420aa7d965a8341 -size 81782090 +oid sha256:4163588f2468f0dcc13b71d5f69a218e65ab64d5750b63704455c3aeee831dc2 +size 81782205 diff --git a/VGG19/BINARY_VGG19_Round2/classification_metrics.txt b/VGG19/BINARY_VGG19_Round2/classification_metrics.txt index 7938b27c2f6daff7760aee46f806917aae798c7a..a9a7c92cf899599e63dcca9a82253f1f30263cc8 100644 --- a/VGG19/BINARY_VGG19_Round2/classification_metrics.txt +++ b/VGG19/BINARY_VGG19_Round2/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9906 -Recall (Sensitivity): 0.9992 +Precision: 0.9992 +Recall: 0.9992 Sensitivity: 0.9992 -Specificity: 0.9902 -F1-Score: 0.9949 +Specificity: 0.9992 +F1-Score: 0.9992 AUC: 1.0000 -Matthews Correlation Coefficient (MCC): 0.9896 -Cohen's Kappa: 0.9896 -Balanced Accuracy: 0.9947 -Jaccard Index (IoU): 0.9898 -Log Loss: 0.0112 -F0.5-Score: 0.9923 +MCC: 0.9985 +Cohen's Kappa: 0.9985 +Balanced Accuracy: 0.9992 +Jaccard Index: 0.9985 +Log Loss: 0.0035 +F0.5-Score: 0.9992 diff --git a/VGG19/BINARY_VGG19_Round2/confusion_matrix.png b/VGG19/BINARY_VGG19_Round2/confusion_matrix.png index 648c588ce34a6abb54c9cfbbfd308730fa356b40..07dc098c9b0b86b20fb1a430f597a1daedf76a00 100644 Binary files a/VGG19/BINARY_VGG19_Round2/confusion_matrix.png and b/VGG19/BINARY_VGG19_Round2/confusion_matrix.png differ diff --git a/VGG19/BINARY_VGG19_Round2/roc_curve.png b/VGG19/BINARY_VGG19_Round2/roc_curve.png index 251739673544a6451d531af574441fb4b9975725..18b164993f153bcc93c00474f173f1811526e2c2 100644 Binary files a/VGG19/BINARY_VGG19_Round2/roc_curve.png and b/VGG19/BINARY_VGG19_Round2/roc_curve.png differ diff --git a/VGG19/BINARY_VGG19_Round2/testing_metrics.txt b/VGG19/BINARY_VGG19_Round2/testing_metrics.txt index fea15770158da0c47796088e440d2c3a06c65af0..23568b579037ef8f35d88bc706da631acfd34e3a 100644 --- a/VGG19/BINARY_VGG19_Round2/testing_metrics.txt +++ b/VGG19/BINARY_VGG19_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9948 -auc: 1.0000 -loss: 0.0112 +accuracy: 0.9992 +auc: 0.9998 +loss: 0.0035 diff --git a/VGG19/BINARY_VGG19_Round2/training_accuracy.png b/VGG19/BINARY_VGG19_Round2/training_accuracy.png index 01e34ade057883484b8fff861070b749c77df4e9..e556edf56b4bb2d1f2f13abea7167cce2e15117c 100644 Binary files a/VGG19/BINARY_VGG19_Round2/training_accuracy.png and b/VGG19/BINARY_VGG19_Round2/training_accuracy.png differ diff --git a/VGG19/BINARY_VGG19_Round2/training_loss.png b/VGG19/BINARY_VGG19_Round2/training_loss.png index 0b53a27608d3c1f41e4a38ba6f52248252c6a8b1..5675906fbe9bfc6fb51d3f87da18b9553c319559 100644 Binary files a/VGG19/BINARY_VGG19_Round2/training_loss.png and b/VGG19/BINARY_VGG19_Round2/training_loss.png differ diff --git a/VGG19/BINARY_VGG19_Round2/training_validation_metrics.txt b/VGG19/BINARY_VGG19_Round2/training_validation_metrics.txt index 069c4163c8594ce74243178d7a81ae65a125903b..0312a789c7aa778353bbcb5ae3214bc9a9f37ac9 100644 --- a/VGG19/BINARY_VGG19_Round2/training_validation_metrics.txt +++ b/VGG19/BINARY_VGG19_Round2/training_validation_metrics.txt @@ -1,122 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== -Epoch 1: - Training Accuracy: 0.8440, Validation Accuracy: 0.9551 - Training Loss: 0.3791, Validation Loss: 0.1961 --------------------------------------------------- -Epoch 2: - Training Accuracy: 0.9648, Validation Accuracy: 0.9783 - Training Loss: 0.1464, Validation Loss: 0.1013 --------------------------------------------------- -Epoch 3: - Training Accuracy: 0.9788, Validation Accuracy: 0.9860 - Training Loss: 0.0877, Validation Loss: 0.0680 --------------------------------------------------- -Epoch 4: - Training Accuracy: 0.9831, Validation Accuracy: 0.9882 - Training Loss: 0.0627, Validation Loss: 0.0511 --------------------------------------------------- -Epoch 5: - Training Accuracy: 0.9873, Validation Accuracy: 0.9894 - Training Loss: 0.0498, Validation Loss: 0.0423 --------------------------------------------------- -Epoch 6: - Training Accuracy: 0.9893, Validation Accuracy: 0.9906 - Training Loss: 0.0413, Validation Loss: 0.0369 --------------------------------------------------- -Epoch 7: - Training Accuracy: 0.9901, Validation Accuracy: 0.9910 - Training Loss: 0.0368, Validation Loss: 0.0325 --------------------------------------------------- -Epoch 8: - Training Accuracy: 0.9904, Validation Accuracy: 0.9914 - Training Loss: 0.0326, Validation Loss: 0.0290 --------------------------------------------------- -Epoch 9: - Training Accuracy: 0.9911, Validation Accuracy: 0.9918 - Training Loss: 0.0304, Validation Loss: 0.0272 --------------------------------------------------- -Epoch 10: - Training Accuracy: 0.9918, Validation Accuracy: 0.9922 - Training Loss: 0.0275, Validation Loss: 0.0254 --------------------------------------------------- -Epoch 11: - Training Accuracy: 0.9925, Validation Accuracy: 0.9920 - Training Loss: 0.0271, Validation Loss: 0.0235 --------------------------------------------------- -Epoch 12: - Training Accuracy: 0.9926, Validation Accuracy: 0.9928 - Training Loss: 0.0246, Validation Loss: 0.0225 --------------------------------------------------- -Epoch 13: - Training Accuracy: 0.9925, Validation Accuracy: 0.9930 - Training Loss: 0.0239, Validation Loss: 0.0212 --------------------------------------------------- -Epoch 14: - Training Accuracy: 0.9931, Validation Accuracy: 0.9934 - Training Loss: 0.0225, Validation Loss: 0.0205 --------------------------------------------------- -Epoch 15: - Training Accuracy: 0.9935, Validation Accuracy: 0.9922 - Training Loss: 0.0214, Validation Loss: 0.0214 --------------------------------------------------- -Epoch 16: - Training Accuracy: 0.9938, Validation Accuracy: 0.9936 - Training Loss: 0.0202, Validation Loss: 0.0188 --------------------------------------------------- -Epoch 17: - Training Accuracy: 0.9939, Validation Accuracy: 0.9938 - Training Loss: 0.0195, Validation Loss: 0.0187 --------------------------------------------------- -Epoch 18: - Training Accuracy: 0.9942, Validation Accuracy: 0.9942 - Training Loss: 0.0186, Validation Loss: 0.0183 --------------------------------------------------- -Epoch 19: - Training Accuracy: 0.9935, Validation Accuracy: 0.9946 - Training Loss: 0.0184, Validation Loss: 0.0174 --------------------------------------------------- -Epoch 20: - Training Accuracy: 0.9939, Validation Accuracy: 0.9948 - Training Loss: 0.0185, Validation Loss: 0.0171 --------------------------------------------------- -Epoch 21: - Training Accuracy: 0.9940, Validation Accuracy: 0.9950 - Training Loss: 0.0175, Validation Loss: 0.0171 --------------------------------------------------- -Epoch 22: - Training Accuracy: 0.9940, Validation Accuracy: 0.9954 - Training Loss: 0.0180, Validation Loss: 0.0159 --------------------------------------------------- -Epoch 23: - Training Accuracy: 0.9945, Validation Accuracy: 0.9952 - Training Loss: 0.0163, Validation Loss: 0.0161 --------------------------------------------------- -Epoch 24: - Training Accuracy: 0.9946, Validation Accuracy: 0.9956 - Training Loss: 0.0167, Validation Loss: 0.0155 --------------------------------------------------- -Epoch 25: - Training Accuracy: 0.9949, Validation Accuracy: 0.9954 - Training Loss: 0.0166, Validation Loss: 0.0158 --------------------------------------------------- -Epoch 26: - Training Accuracy: 0.9954, Validation Accuracy: 0.9958 - Training Loss: 0.0161, Validation Loss: 0.0154 --------------------------------------------------- -Epoch 27: - Training Accuracy: 0.9944, Validation Accuracy: 0.9954 - Training Loss: 0.0161, Validation Loss: 0.0151 --------------------------------------------------- -Epoch 28: - Training Accuracy: 0.9946, Validation Accuracy: 0.9954 - Training Loss: 0.0159, Validation Loss: 0.0148 --------------------------------------------------- -Epoch 29: - Training Accuracy: 0.9943, Validation Accuracy: 0.9960 - Training Loss: 0.0161, Validation Loss: 0.0138 --------------------------------------------------- -Epoch 30: - Training Accuracy: 0.9953, Validation Accuracy: 0.9962 - Training Loss: 0.0147, Validation Loss: 0.0139 +Epoch 1 + Training Accuracy: 0.9383 + Validation Accuracy: 0.9894 + Training Loss: 0.1651 + Validation Loss: 0.0350 +-------------------------------------------------- +Epoch 2 + Training Accuracy: 0.9877 + Validation Accuracy: 0.9931 + Training Loss: 0.0407 + Validation Loss: 0.0223 +-------------------------------------------------- +Epoch 3 + Training Accuracy: 0.9925 + Validation Accuracy: 0.9946 + Training Loss: 0.0266 + Validation Loss: 0.0180 +-------------------------------------------------- +Epoch 4 + Training Accuracy: 0.9939 + Validation Accuracy: 0.9956 + Training Loss: 0.0210 + Validation Loss: 0.0149 +-------------------------------------------------- +Epoch 5 + Training Accuracy: 0.9952 + Validation Accuracy: 0.9967 + Training Loss: 0.0160 + Validation Loss: 0.0121 +-------------------------------------------------- +Epoch 6 + Training Accuracy: 0.9959 + Validation Accuracy: 0.9966 + Training Loss: 0.0140 + Validation Loss: 0.0108 +-------------------------------------------------- +Epoch 7 + Training Accuracy: 0.9965 + Validation Accuracy: 0.9968 + Training Loss: 0.0125 + Validation Loss: 0.0091 +-------------------------------------------------- +Epoch 8 + Training Accuracy: 0.9969 + Validation Accuracy: 0.9974 + Training Loss: 0.0104 + Validation Loss: 0.0083 +-------------------------------------------------- +Epoch 9 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9974 + Training Loss: 0.0096 + Validation Loss: 0.0082 +-------------------------------------------------- +Epoch 10 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9978 + Training Loss: 0.0085 + Validation Loss: 0.0076 +-------------------------------------------------- +Epoch 11 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9979 + Training Loss: 0.0081 + Validation Loss: 0.0071 +-------------------------------------------------- +Epoch 12 + Training Accuracy: 0.9974 + Validation Accuracy: 0.9989 + Training Loss: 0.0080 + Validation Loss: 0.0056 +-------------------------------------------------- +Epoch 13 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9986 + Training Loss: 0.0071 + Validation Loss: 0.0054 +-------------------------------------------------- +Epoch 14 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9987 + Training Loss: 0.0059 + Validation Loss: 0.0048 +-------------------------------------------------- +Epoch 15 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9986 + Training Loss: 0.0053 + Validation Loss: 0.0057 +-------------------------------------------------- +Epoch 16 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9986 + Training Loss: 0.0050 + Validation Loss: 0.0048 +-------------------------------------------------- +Epoch 17 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9986 + Training Loss: 0.0049 + Validation Loss: 0.0046 +-------------------------------------------------- +Epoch 18 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9986 + Training Loss: 0.0040 + Validation Loss: 0.0044 +-------------------------------------------------- +Epoch 19 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9986 + Training Loss: 0.0041 + Validation Loss: 0.0044 +-------------------------------------------------- +Epoch 20 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9991 + Training Loss: 0.0040 + Validation Loss: 0.0040 +-------------------------------------------------- +Epoch 21 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9991 + Training Loss: 0.0037 + Validation Loss: 0.0033 +-------------------------------------------------- +Epoch 22 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9989 + Training Loss: 0.0034 + Validation Loss: 0.0037 +-------------------------------------------------- +Epoch 23 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9990 + Training Loss: 0.0038 + Validation Loss: 0.0042 +-------------------------------------------------- +Epoch 24 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9988 + Training Loss: 0.0038 + Validation Loss: 0.0040 +-------------------------------------------------- +Epoch 25 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9990 + Training Loss: 0.0033 + Validation Loss: 0.0033 +-------------------------------------------------- +Epoch 26 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9989 + Training Loss: 0.0033 + Validation Loss: 0.0038 +-------------------------------------------------- +Epoch 27 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9987 + Training Loss: 0.0032 + Validation Loss: 0.0038 +-------------------------------------------------- +Epoch 28 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9983 + Training Loss: 0.0032 + Validation Loss: 0.0046 +-------------------------------------------------- +Epoch 29 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9989 + Training Loss: 0.0028 + Validation Loss: 0.0036 +-------------------------------------------------- +Epoch 30 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9990 + Training Loss: 0.0033 + Validation Loss: 0.0031 -------------------------------------------------- diff --git a/VGG19/BINARY_VGG19_Round3/BINARY_VGG19_Round3.keras b/VGG19/BINARY_VGG19_Round3/BINARY_VGG19_Round3.keras index 8391d2151d9fc50a473d37391d86cfe577c071a9..2e76a1057a01619c2b212124452704dc834d4a41 100644 --- a/VGG19/BINARY_VGG19_Round3/BINARY_VGG19_Round3.keras +++ b/VGG19/BINARY_VGG19_Round3/BINARY_VGG19_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:dc05df3fc11b0f1dd066a09a3c6839e4d84f7652c6a7e6eeafa50551f8e854d8 -size 81782090 +oid sha256:e87ed6f68726e4b74c84aa2aa2f11ed47006c3d0285b1bcd2db05cdbcad52fd9 +size 81782205 diff --git a/VGG19/BINARY_VGG19_Round3/classification_metrics.txt b/VGG19/BINARY_VGG19_Round3/classification_metrics.txt index ae63cacdf4aa2c07b808afdd3425103797cf3e0e..f07f8a328171662f89541935b91da07c53e08c27 100644 --- a/VGG19/BINARY_VGG19_Round3/classification_metrics.txt +++ b/VGG19/BINARY_VGG19_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9898 -Recall (Sensitivity): 0.9984 -Sensitivity: 0.9984 -Specificity: 0.9894 -F1-Score: 0.9941 +Precision: 0.9988 +Recall: 0.9985 +Sensitivity: 0.9985 +Specificity: 0.9988 +F1-Score: 0.9986 AUC: 1.0000 -Matthews Correlation Coefficient (MCC): 0.9880 -Cohen's Kappa: 0.9880 -Balanced Accuracy: 0.9939 -Jaccard Index (IoU): 0.9883 -Log Loss: 0.0118 -F0.5-Score: 0.9915 +MCC: 0.9973 +Cohen's Kappa: 0.9973 +Balanced Accuracy: 0.9986 +Jaccard Index: 0.9973 +Log Loss: 0.0047 +F0.5-Score: 0.9988 diff --git a/VGG19/BINARY_VGG19_Round3/confusion_matrix.png b/VGG19/BINARY_VGG19_Round3/confusion_matrix.png index c7ed676ba40aa8dbd7a0f927ab611de6fb9429ae..f0537f9dbc599b7036ca010f69695949373f8acb 100644 Binary files a/VGG19/BINARY_VGG19_Round3/confusion_matrix.png and b/VGG19/BINARY_VGG19_Round3/confusion_matrix.png differ diff --git a/VGG19/BINARY_VGG19_Round3/roc_curve.png b/VGG19/BINARY_VGG19_Round3/roc_curve.png index 58dec784d0645b3e5d59e1be162ea8d72adb0a1c..9b1a49148655c5363f33e1b6114aff2d5f1106bd 100644 Binary files a/VGG19/BINARY_VGG19_Round3/roc_curve.png and b/VGG19/BINARY_VGG19_Round3/roc_curve.png differ diff --git a/VGG19/BINARY_VGG19_Round3/testing_metrics.txt b/VGG19/BINARY_VGG19_Round3/testing_metrics.txt index c055cdd4e2398406242688db80d605577d548b7c..aae207985aea25bd95c11c35799b5307b5f86c0a 100644 --- a/VGG19/BINARY_VGG19_Round3/testing_metrics.txt +++ b/VGG19/BINARY_VGG19_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9940 -auc: 1.0000 -loss: 0.0118 +accuracy: 0.9986 +auc: 0.9998 +loss: 0.0047 diff --git a/VGG19/BINARY_VGG19_Round3/training_accuracy.png b/VGG19/BINARY_VGG19_Round3/training_accuracy.png index 12871c3deb029e4496f8b076cf00c57119bd2b87..ce02da6aaee2efde5f282db5dee4f3dbbcfdf2c8 100644 Binary files a/VGG19/BINARY_VGG19_Round3/training_accuracy.png and b/VGG19/BINARY_VGG19_Round3/training_accuracy.png differ diff --git a/VGG19/BINARY_VGG19_Round3/training_loss.png b/VGG19/BINARY_VGG19_Round3/training_loss.png index 017c2761ee4a70d4fa95da0efdf301838e97e990..37f7c2859bb43c1101f1600c1d08a1b4a98592e1 100644 Binary files a/VGG19/BINARY_VGG19_Round3/training_loss.png and b/VGG19/BINARY_VGG19_Round3/training_loss.png differ diff --git a/VGG19/BINARY_VGG19_Round3/training_validation_metrics.txt b/VGG19/BINARY_VGG19_Round3/training_validation_metrics.txt index 0c03f1d9378335b492627fbe7e5f818db91e611c..5141b1772aa01cb856ac94061639fc7a2c08550c 100644 --- a/VGG19/BINARY_VGG19_Round3/training_validation_metrics.txt +++ b/VGG19/BINARY_VGG19_Round3/training_validation_metrics.txt @@ -1,122 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== -Epoch 1: - Training Accuracy: 0.8475, Validation Accuracy: 0.9587 - Training Loss: 0.3730, Validation Loss: 0.1937 --------------------------------------------------- -Epoch 2: - Training Accuracy: 0.9630, Validation Accuracy: 0.9765 - Training Loss: 0.1452, Validation Loss: 0.0995 --------------------------------------------------- -Epoch 3: - Training Accuracy: 0.9795, Validation Accuracy: 0.9860 - Training Loss: 0.0863, Validation Loss: 0.0669 --------------------------------------------------- -Epoch 4: - Training Accuracy: 0.9849, Validation Accuracy: 0.9882 - Training Loss: 0.0608, Validation Loss: 0.0505 --------------------------------------------------- -Epoch 5: - Training Accuracy: 0.9869, Validation Accuracy: 0.9900 - Training Loss: 0.0495, Validation Loss: 0.0416 --------------------------------------------------- -Epoch 6: - Training Accuracy: 0.9894, Validation Accuracy: 0.9906 - Training Loss: 0.0397, Validation Loss: 0.0355 --------------------------------------------------- -Epoch 7: - Training Accuracy: 0.9889, Validation Accuracy: 0.9912 - Training Loss: 0.0369, Validation Loss: 0.0316 --------------------------------------------------- -Epoch 8: - Training Accuracy: 0.9904, Validation Accuracy: 0.9912 - Training Loss: 0.0322, Validation Loss: 0.0288 --------------------------------------------------- -Epoch 9: - Training Accuracy: 0.9922, Validation Accuracy: 0.9918 - Training Loss: 0.0293, Validation Loss: 0.0263 --------------------------------------------------- -Epoch 10: - Training Accuracy: 0.9922, Validation Accuracy: 0.9918 - Training Loss: 0.0275, Validation Loss: 0.0250 --------------------------------------------------- -Epoch 11: - Training Accuracy: 0.9923, Validation Accuracy: 0.9924 - Training Loss: 0.0254, Validation Loss: 0.0232 --------------------------------------------------- -Epoch 12: - Training Accuracy: 0.9921, Validation Accuracy: 0.9928 - Training Loss: 0.0245, Validation Loss: 0.0218 --------------------------------------------------- -Epoch 13: - Training Accuracy: 0.9935, Validation Accuracy: 0.9922 - Training Loss: 0.0225, Validation Loss: 0.0216 --------------------------------------------------- -Epoch 14: - Training Accuracy: 0.9930, Validation Accuracy: 0.9932 - Training Loss: 0.0229, Validation Loss: 0.0201 --------------------------------------------------- -Epoch 15: - Training Accuracy: 0.9930, Validation Accuracy: 0.9928 - Training Loss: 0.0209, Validation Loss: 0.0211 --------------------------------------------------- -Epoch 16: - Training Accuracy: 0.9943, Validation Accuracy: 0.9936 - Training Loss: 0.0200, Validation Loss: 0.0187 --------------------------------------------------- -Epoch 17: - Training Accuracy: 0.9941, Validation Accuracy: 0.9938 - Training Loss: 0.0200, Validation Loss: 0.0183 --------------------------------------------------- -Epoch 18: - Training Accuracy: 0.9936, Validation Accuracy: 0.9946 - Training Loss: 0.0190, Validation Loss: 0.0175 --------------------------------------------------- -Epoch 19: - Training Accuracy: 0.9939, Validation Accuracy: 0.9940 - Training Loss: 0.0192, Validation Loss: 0.0174 --------------------------------------------------- -Epoch 20: - Training Accuracy: 0.9946, Validation Accuracy: 0.9948 - Training Loss: 0.0181, Validation Loss: 0.0167 --------------------------------------------------- -Epoch 21: - Training Accuracy: 0.9938, Validation Accuracy: 0.9944 - Training Loss: 0.0181, Validation Loss: 0.0171 --------------------------------------------------- -Epoch 22: - Training Accuracy: 0.9952, Validation Accuracy: 0.9942 - Training Loss: 0.0165, Validation Loss: 0.0167 --------------------------------------------------- -Epoch 23: - Training Accuracy: 0.9942, Validation Accuracy: 0.9948 - Training Loss: 0.0166, Validation Loss: 0.0159 --------------------------------------------------- -Epoch 24: - Training Accuracy: 0.9952, Validation Accuracy: 0.9946 - Training Loss: 0.0160, Validation Loss: 0.0162 --------------------------------------------------- -Epoch 25: - Training Accuracy: 0.9942, Validation Accuracy: 0.9954 - Training Loss: 0.0164, Validation Loss: 0.0149 --------------------------------------------------- -Epoch 26: - Training Accuracy: 0.9948, Validation Accuracy: 0.9958 - Training Loss: 0.0151, Validation Loss: 0.0144 --------------------------------------------------- -Epoch 27: - Training Accuracy: 0.9954, Validation Accuracy: 0.9946 - Training Loss: 0.0143, Validation Loss: 0.0152 --------------------------------------------------- -Epoch 28: - Training Accuracy: 0.9955, Validation Accuracy: 0.9960 - Training Loss: 0.0150, Validation Loss: 0.0141 --------------------------------------------------- -Epoch 29: - Training Accuracy: 0.9950, Validation Accuracy: 0.9960 - Training Loss: 0.0140, Validation Loss: 0.0140 --------------------------------------------------- -Epoch 30: - Training Accuracy: 0.9949, Validation Accuracy: 0.9954 - Training Loss: 0.0154, Validation Loss: 0.0144 +Epoch 1 + Training Accuracy: 0.9444 + Validation Accuracy: 0.9884 + Training Loss: 0.1396 + Validation Loss: 0.0354 +-------------------------------------------------- +Epoch 2 + Training Accuracy: 0.9880 + Validation Accuracy: 0.9925 + Training Loss: 0.0385 + Validation Loss: 0.0250 +-------------------------------------------------- +Epoch 3 + Training Accuracy: 0.9920 + Validation Accuracy: 0.9945 + Training Loss: 0.0273 + Validation Loss: 0.0194 +-------------------------------------------------- +Epoch 4 + Training Accuracy: 0.9946 + Validation Accuracy: 0.9957 + Training Loss: 0.0193 + Validation Loss: 0.0146 +-------------------------------------------------- +Epoch 5 + Training Accuracy: 0.9953 + Validation Accuracy: 0.9963 + Training Loss: 0.0158 + Validation Loss: 0.0124 +-------------------------------------------------- +Epoch 6 + Training Accuracy: 0.9957 + Validation Accuracy: 0.9968 + Training Loss: 0.0139 + Validation Loss: 0.0107 +-------------------------------------------------- +Epoch 7 + Training Accuracy: 0.9964 + Validation Accuracy: 0.9974 + Training Loss: 0.0112 + Validation Loss: 0.0085 +-------------------------------------------------- +Epoch 8 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9972 + Training Loss: 0.0103 + Validation Loss: 0.0083 +-------------------------------------------------- +Epoch 9 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9974 + Training Loss: 0.0092 + Validation Loss: 0.0075 +-------------------------------------------------- +Epoch 10 + Training Accuracy: 0.9976 + Validation Accuracy: 0.9980 + Training Loss: 0.0080 + Validation Loss: 0.0073 +-------------------------------------------------- +Epoch 11 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9977 + Training Loss: 0.0070 + Validation Loss: 0.0068 +-------------------------------------------------- +Epoch 12 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9983 + Training Loss: 0.0069 + Validation Loss: 0.0063 +-------------------------------------------------- +Epoch 13 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9980 + Training Loss: 0.0065 + Validation Loss: 0.0060 +-------------------------------------------------- +Epoch 14 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9986 + Training Loss: 0.0057 + Validation Loss: 0.0050 +-------------------------------------------------- +Epoch 15 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9986 + Training Loss: 0.0054 + Validation Loss: 0.0050 +-------------------------------------------------- +Epoch 16 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9985 + Training Loss: 0.0048 + Validation Loss: 0.0052 +-------------------------------------------------- +Epoch 17 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9988 + Training Loss: 0.0049 + Validation Loss: 0.0044 +-------------------------------------------------- +Epoch 18 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9981 + Training Loss: 0.0041 + Validation Loss: 0.0064 +-------------------------------------------------- +Epoch 19 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9987 + Training Loss: 0.0045 + Validation Loss: 0.0046 +-------------------------------------------------- +Epoch 20 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0040 + Validation Loss: 0.0042 +-------------------------------------------------- +Epoch 21 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9990 + Training Loss: 0.0037 + Validation Loss: 0.0042 +-------------------------------------------------- +Epoch 22 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9986 + Training Loss: 0.0040 + Validation Loss: 0.0047 +-------------------------------------------------- +Epoch 23 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9988 + Training Loss: 0.0036 + Validation Loss: 0.0043 +-------------------------------------------------- +Epoch 24 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9986 + Training Loss: 0.0035 + Validation Loss: 0.0047 +-------------------------------------------------- +Epoch 25 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9989 + Training Loss: 0.0034 + Validation Loss: 0.0044 +-------------------------------------------------- +Epoch 26 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9990 + Training Loss: 0.0030 + Validation Loss: 0.0041 +-------------------------------------------------- +Epoch 27 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9989 + Training Loss: 0.0025 + Validation Loss: 0.0040 +-------------------------------------------------- +Epoch 28 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9988 + Training Loss: 0.0031 + Validation Loss: 0.0043 +-------------------------------------------------- +Epoch 29 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9988 + Training Loss: 0.0029 + Validation Loss: 0.0038 +-------------------------------------------------- +Epoch 30 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9984 + Training Loss: 0.0027 + Validation Loss: 0.0047 -------------------------------------------------- diff --git a/VGG19/BINARY_VGG19_Round4/BINARY_VGG19_Round4.keras b/VGG19/BINARY_VGG19_Round4/BINARY_VGG19_Round4.keras index 7346ab96b9d9af149b2a318bda13a4bd05d2ddd2..bd03b8057588ccf1963f08d4b8740c966e2d5f47 100644 --- a/VGG19/BINARY_VGG19_Round4/BINARY_VGG19_Round4.keras +++ b/VGG19/BINARY_VGG19_Round4/BINARY_VGG19_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:2f43fa9aa7f3d7913aeaf70c3e1b7bf01ca64f412dc53313662768c20c596f15 -size 81782090 +oid sha256:05af7131e77ca80e049b6db869a895bfeb09b6f59542ba3261343c8a813df718 +size 81782205 diff --git a/VGG19/BINARY_VGG19_Round4/classification_metrics.txt b/VGG19/BINARY_VGG19_Round4/classification_metrics.txt index 69591bb3dfefbc22fee0020cc72074670f15ce53..6c84c6fc7d1bf61216af3c73223aae5c09d65224 100644 --- a/VGG19/BINARY_VGG19_Round4/classification_metrics.txt +++ b/VGG19/BINARY_VGG19_Round4/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9922 -Recall (Sensitivity): 0.9992 +Precision: 0.9988 +Recall: 0.9992 Sensitivity: 0.9992 -Specificity: 0.9919 -F1-Score: 0.9957 +Specificity: 0.9988 +F1-Score: 0.9990 AUC: 1.0000 -Matthews Correlation Coefficient (MCC): 0.9912 -Cohen's Kappa: 0.9912 -Balanced Accuracy: 0.9955 -Jaccard Index (IoU): 0.9914 -Log Loss: 0.0105 -F0.5-Score: 0.9936 +MCC: 0.9981 +Cohen's Kappa: 0.9981 +Balanced Accuracy: 0.9990 +Jaccard Index: 0.9981 +Log Loss: 0.0033 +F0.5-Score: 0.9989 diff --git a/VGG19/BINARY_VGG19_Round4/confusion_matrix.png b/VGG19/BINARY_VGG19_Round4/confusion_matrix.png index 5f2071da27d77f110ad833561147b0f85ad26c34..c30d5b82c808f99776c7f9451f96900e9512a428 100644 Binary files a/VGG19/BINARY_VGG19_Round4/confusion_matrix.png and b/VGG19/BINARY_VGG19_Round4/confusion_matrix.png differ diff --git a/VGG19/BINARY_VGG19_Round4/roc_curve.png b/VGG19/BINARY_VGG19_Round4/roc_curve.png index 244b411945e118d96d241da81a6aea1d8c8964d9..8b6cd54c67aed174a1b660618b84a849fc742fdf 100644 Binary files a/VGG19/BINARY_VGG19_Round4/roc_curve.png and b/VGG19/BINARY_VGG19_Round4/roc_curve.png differ diff --git a/VGG19/BINARY_VGG19_Round4/testing_metrics.txt b/VGG19/BINARY_VGG19_Round4/testing_metrics.txt index a1cc04f71280710b50189a0412e4787718c55998..1ed080aebd7ec869f7dc62ee0e45d8024662c3e6 100644 --- a/VGG19/BINARY_VGG19_Round4/testing_metrics.txt +++ b/VGG19/BINARY_VGG19_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9956 +accuracy: 0.9990 auc: 1.0000 -loss: 0.0105 +loss: 0.0033 diff --git a/VGG19/BINARY_VGG19_Round4/training_accuracy.png b/VGG19/BINARY_VGG19_Round4/training_accuracy.png index b3dd4dc35be4d39a0dd67e10be89ba0fea7da621..121d1c79a4ee4eb1ba9e699fea0205e01465e9a4 100644 Binary files a/VGG19/BINARY_VGG19_Round4/training_accuracy.png and b/VGG19/BINARY_VGG19_Round4/training_accuracy.png differ diff --git a/VGG19/BINARY_VGG19_Round4/training_loss.png b/VGG19/BINARY_VGG19_Round4/training_loss.png index 78a4f90908d634e76559274eff6ca4d572f4bb72..2d6dc6bd5416c209a92b277084538eec2ce03772 100644 Binary files a/VGG19/BINARY_VGG19_Round4/training_loss.png and b/VGG19/BINARY_VGG19_Round4/training_loss.png differ diff --git a/VGG19/BINARY_VGG19_Round4/training_validation_metrics.txt b/VGG19/BINARY_VGG19_Round4/training_validation_metrics.txt index e8942ce4d382261e2f6582b7d41f79824bd37f8d..610dffb17d385c0db09eb1612b1334b7f425b86e 100644 --- a/VGG19/BINARY_VGG19_Round4/training_validation_metrics.txt +++ b/VGG19/BINARY_VGG19_Round4/training_validation_metrics.txt @@ -1,122 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== -Epoch 1: - Training Accuracy: 0.8485, Validation Accuracy: 0.9603 - Training Loss: 0.3773, Validation Loss: 0.1906 --------------------------------------------------- -Epoch 2: - Training Accuracy: 0.9657, Validation Accuracy: 0.9796 - Training Loss: 0.1423, Validation Loss: 0.0974 --------------------------------------------------- -Epoch 3: - Training Accuracy: 0.9786, Validation Accuracy: 0.9858 - Training Loss: 0.0832, Validation Loss: 0.0646 --------------------------------------------------- -Epoch 4: - Training Accuracy: 0.9846, Validation Accuracy: 0.9878 - Training Loss: 0.0592, Validation Loss: 0.0494 --------------------------------------------------- -Epoch 5: - Training Accuracy: 0.9876, Validation Accuracy: 0.9894 - Training Loss: 0.0483, Validation Loss: 0.0407 --------------------------------------------------- -Epoch 6: - Training Accuracy: 0.9892, Validation Accuracy: 0.9904 - Training Loss: 0.0411, Validation Loss: 0.0352 --------------------------------------------------- -Epoch 7: - Training Accuracy: 0.9904, Validation Accuracy: 0.9910 - Training Loss: 0.0343, Validation Loss: 0.0312 --------------------------------------------------- -Epoch 8: - Training Accuracy: 0.9907, Validation Accuracy: 0.9912 - Training Loss: 0.0324, Validation Loss: 0.0285 --------------------------------------------------- -Epoch 9: - Training Accuracy: 0.9907, Validation Accuracy: 0.9922 - Training Loss: 0.0294, Validation Loss: 0.0276 --------------------------------------------------- -Epoch 10: - Training Accuracy: 0.9918, Validation Accuracy: 0.9914 - Training Loss: 0.0271, Validation Loss: 0.0243 --------------------------------------------------- -Epoch 11: - Training Accuracy: 0.9926, Validation Accuracy: 0.9926 - Training Loss: 0.0249, Validation Loss: 0.0232 --------------------------------------------------- -Epoch 12: - Training Accuracy: 0.9930, Validation Accuracy: 0.9928 - Training Loss: 0.0236, Validation Loss: 0.0221 --------------------------------------------------- -Epoch 13: - Training Accuracy: 0.9926, Validation Accuracy: 0.9930 - Training Loss: 0.0232, Validation Loss: 0.0208 --------------------------------------------------- -Epoch 14: - Training Accuracy: 0.9932, Validation Accuracy: 0.9932 - Training Loss: 0.0213, Validation Loss: 0.0197 --------------------------------------------------- -Epoch 15: - Training Accuracy: 0.9924, Validation Accuracy: 0.9938 - Training Loss: 0.0223, Validation Loss: 0.0193 --------------------------------------------------- -Epoch 16: - Training Accuracy: 0.9930, Validation Accuracy: 0.9940 - Training Loss: 0.0217, Validation Loss: 0.0185 --------------------------------------------------- -Epoch 17: - Training Accuracy: 0.9939, Validation Accuracy: 0.9944 - Training Loss: 0.0198, Validation Loss: 0.0180 --------------------------------------------------- -Epoch 18: - Training Accuracy: 0.9938, Validation Accuracy: 0.9944 - Training Loss: 0.0194, Validation Loss: 0.0174 --------------------------------------------------- -Epoch 19: - Training Accuracy: 0.9931, Validation Accuracy: 0.9940 - Training Loss: 0.0196, Validation Loss: 0.0177 --------------------------------------------------- -Epoch 20: - Training Accuracy: 0.9943, Validation Accuracy: 0.9944 - Training Loss: 0.0176, Validation Loss: 0.0174 --------------------------------------------------- -Epoch 21: - Training Accuracy: 0.9947, Validation Accuracy: 0.9952 - Training Loss: 0.0174, Validation Loss: 0.0164 --------------------------------------------------- -Epoch 22: - Training Accuracy: 0.9943, Validation Accuracy: 0.9948 - Training Loss: 0.0165, Validation Loss: 0.0163 --------------------------------------------------- -Epoch 23: - Training Accuracy: 0.9946, Validation Accuracy: 0.9950 - Training Loss: 0.0165, Validation Loss: 0.0155 --------------------------------------------------- -Epoch 24: - Training Accuracy: 0.9948, Validation Accuracy: 0.9950 - Training Loss: 0.0157, Validation Loss: 0.0157 --------------------------------------------------- -Epoch 25: - Training Accuracy: 0.9955, Validation Accuracy: 0.9956 - Training Loss: 0.0154, Validation Loss: 0.0148 --------------------------------------------------- -Epoch 26: - Training Accuracy: 0.9947, Validation Accuracy: 0.9956 - Training Loss: 0.0155, Validation Loss: 0.0144 --------------------------------------------------- -Epoch 27: - Training Accuracy: 0.9954, Validation Accuracy: 0.9960 - Training Loss: 0.0147, Validation Loss: 0.0145 --------------------------------------------------- -Epoch 28: - Training Accuracy: 0.9953, Validation Accuracy: 0.9956 - Training Loss: 0.0149, Validation Loss: 0.0147 --------------------------------------------------- -Epoch 29: - Training Accuracy: 0.9956, Validation Accuracy: 0.9958 - Training Loss: 0.0142, Validation Loss: 0.0139 --------------------------------------------------- -Epoch 30: - Training Accuracy: 0.9957, Validation Accuracy: 0.9958 - Training Loss: 0.0144, Validation Loss: 0.0137 +Epoch 1 + Training Accuracy: 0.9330 + Validation Accuracy: 0.9887 + Training Loss: 0.1672 + Validation Loss: 0.0358 +-------------------------------------------------- +Epoch 2 + Training Accuracy: 0.9864 + Validation Accuracy: 0.9929 + Training Loss: 0.0408 + Validation Loss: 0.0224 +-------------------------------------------------- +Epoch 3 + Training Accuracy: 0.9914 + Validation Accuracy: 0.9947 + Training Loss: 0.0268 + Validation Loss: 0.0170 +-------------------------------------------------- +Epoch 4 + Training Accuracy: 0.9940 + Validation Accuracy: 0.9964 + Training Loss: 0.0209 + Validation Loss: 0.0131 +-------------------------------------------------- +Epoch 5 + Training Accuracy: 0.9947 + Validation Accuracy: 0.9969 + Training Loss: 0.0165 + Validation Loss: 0.0110 +-------------------------------------------------- +Epoch 6 + Training Accuracy: 0.9960 + Validation Accuracy: 0.9971 + Training Loss: 0.0126 + Validation Loss: 0.0102 +-------------------------------------------------- +Epoch 7 + Training Accuracy: 0.9965 + Validation Accuracy: 0.9970 + Training Loss: 0.0118 + Validation Loss: 0.0089 +-------------------------------------------------- +Epoch 8 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9980 + Training Loss: 0.0097 + Validation Loss: 0.0071 +-------------------------------------------------- +Epoch 9 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9981 + Training Loss: 0.0088 + Validation Loss: 0.0061 +-------------------------------------------------- +Epoch 10 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9982 + Training Loss: 0.0072 + Validation Loss: 0.0060 +-------------------------------------------------- +Epoch 11 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9986 + Training Loss: 0.0070 + Validation Loss: 0.0053 +-------------------------------------------------- +Epoch 12 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9987 + Training Loss: 0.0069 + Validation Loss: 0.0047 +-------------------------------------------------- +Epoch 13 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9986 + Training Loss: 0.0061 + Validation Loss: 0.0048 +-------------------------------------------------- +Epoch 14 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9989 + Training Loss: 0.0061 + Validation Loss: 0.0045 +-------------------------------------------------- +Epoch 15 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9987 + Training Loss: 0.0053 + Validation Loss: 0.0041 +-------------------------------------------------- +Epoch 16 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9988 + Training Loss: 0.0058 + Validation Loss: 0.0039 +-------------------------------------------------- +Epoch 17 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9988 + Training Loss: 0.0046 + Validation Loss: 0.0037 +-------------------------------------------------- +Epoch 18 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9990 + Training Loss: 0.0049 + Validation Loss: 0.0035 +-------------------------------------------------- +Epoch 19 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9986 + Training Loss: 0.0036 + Validation Loss: 0.0040 +-------------------------------------------------- +Epoch 20 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9988 + Training Loss: 0.0051 + Validation Loss: 0.0038 +-------------------------------------------------- +Epoch 21 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9988 + Training Loss: 0.0041 + Validation Loss: 0.0036 +-------------------------------------------------- +Epoch 22 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9986 + Training Loss: 0.0037 + Validation Loss: 0.0034 +-------------------------------------------------- +Epoch 23 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9987 + Training Loss: 0.0035 + Validation Loss: 0.0040 +-------------------------------------------------- +Epoch 24 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9988 + Training Loss: 0.0032 + Validation Loss: 0.0034 +-------------------------------------------------- +Epoch 25 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9989 + Training Loss: 0.0033 + Validation Loss: 0.0031 +-------------------------------------------------- +Epoch 26 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9987 + Training Loss: 0.0030 + Validation Loss: 0.0034 +-------------------------------------------------- +Epoch 27 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9987 + Training Loss: 0.0029 + Validation Loss: 0.0037 +-------------------------------------------------- +Epoch 28 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9988 + Training Loss: 0.0030 + Validation Loss: 0.0034 +-------------------------------------------------- +Epoch 29 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9990 + Training Loss: 0.0022 + Validation Loss: 0.0032 +-------------------------------------------------- +Epoch 30 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9988 + Training Loss: 0.0032 + Validation Loss: 0.0035 --------------------------------------------------