diff --git a/MobileNetV2/BINARY_MobileNetV2_Round1/BINARY_MobileNetV2_Round1.keras b/MobileNetV2/BINARY_MobileNetV2_Round1/BINARY_MobileNetV2_Round1.keras index de9c81facde4b2c04a44d2071d8f571f1253cd77..5c2e08c1a892a85e4b521f8608af9cb9638268dc 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round1/BINARY_MobileNetV2_Round1.keras +++ b/MobileNetV2/BINARY_MobileNetV2_Round1/BINARY_MobileNetV2_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:bf0fe94a01745607d6086934f07f2c9601faac487a8919a3922581af199d442f -size 13561499 +oid sha256:58b0061cc274d63846679fcf6d685b94bd78aeb558c925e6bd62ed7e033c6bf0 +size 13565098 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round1/classification_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round1/classification_metrics.txt index 03dac06fce348594a1af128296b7ac33f773b095..38820ef968461b6a0fb2e52c3d377e7aa78b2e3f 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round1/classification_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9984 -Recall: 1.0000 -Sensitivity: 1.0000 -Specificity: 0.9984 +Precision: 1.0000 +Recall: 0.9985 +Sensitivity: 0.9985 +Specificity: 1.0000 F1-Score: 0.9992 AUC: 1.0000 -MCC: 0.9984 -Cohen's Kappa: 0.9984 +MCC: 0.9985 +Cohen's Kappa: 0.9985 Balanced Accuracy: 0.9992 -Jaccard Index: 0.9984 +Jaccard Index: 0.9985 Log Loss: 0.0026 -F0.5-Score: 0.9987 +F0.5-Score: 0.9997 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round1/confusion_matrix.png b/MobileNetV2/BINARY_MobileNetV2_Round1/confusion_matrix.png index 22a1837c279a4a716cf850f610e74cba45cdc12f..1a4b59a0601c71cbf9c0784928546f0a017f1254 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round1/confusion_matrix.png and b/MobileNetV2/BINARY_MobileNetV2_Round1/confusion_matrix.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round1/roc_curve.png b/MobileNetV2/BINARY_MobileNetV2_Round1/roc_curve.png index b9e10a56bbbe9de2543f942e2dbffe1df8e7b060..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round1/roc_curve.png and b/MobileNetV2/BINARY_MobileNetV2_Round1/roc_curve.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round1/training_accuracy.png b/MobileNetV2/BINARY_MobileNetV2_Round1/training_accuracy.png index 85eb2815d781b6c0d059d5d3c75631339f209e8c..54fd61173c25972a7a8738732103479ff1624e71 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round1/training_accuracy.png and b/MobileNetV2/BINARY_MobileNetV2_Round1/training_accuracy.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round1/training_loss.png b/MobileNetV2/BINARY_MobileNetV2_Round1/training_loss.png index be358c44424d1b80d7205e9deca7cb51195affce..64daf5bba1bfb2bb3853f55e8aef5e72a74d9b2c 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round1/training_loss.png and b/MobileNetV2/BINARY_MobileNetV2_Round1/training_loss.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round1/training_validation_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round1/training_validation_metrics.txt index cf3609a8e1f4ca09e72933f8da4ff186feddead6..02396a8bedf3cb38e569cd837da1497410f44376 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round1/training_validation_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9715 - Validation Accuracy: 0.9934 - Training Loss: 0.0797 - Validation Loss: 0.0216 + Training Accuracy: 0.9731 + Validation Accuracy: 0.9955 + Training Loss: 0.0740 + Validation Loss: 0.0179 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9962 - Validation Accuracy: 0.9940 - Training Loss: 0.0152 - Validation Loss: 0.0156 + Training Accuracy: 0.9953 + Validation Accuracy: 0.9957 + Training Loss: 0.0153 + Validation Loss: 0.0137 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9974 - Validation Accuracy: 0.9964 - Training Loss: 0.0087 - Validation Loss: 0.0098 + Training Accuracy: 0.9968 + Validation Accuracy: 0.9941 + Training Loss: 0.0112 + Validation Loss: 0.0174 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9974 - Validation Accuracy: 0.9982 - Training Loss: 0.0079 - Validation Loss: 0.0065 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9984 + Training Loss: 0.0088 + Validation Loss: 0.0061 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9972 - Training Loss: 0.0065 - Validation Loss: 0.0069 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9967 + Training Loss: 0.0071 + Validation Loss: 0.0108 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9972 - Training Loss: 0.0050 - Validation Loss: 0.0065 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9978 + Training Loss: 0.0055 + Validation Loss: 0.0072 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9984 - Training Loss: 0.0038 - Validation Loss: 0.0054 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9955 + Training Loss: 0.0048 + Validation Loss: 0.0129 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9980 - Training Loss: 0.0035 - Validation Loss: 0.0059 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9971 + Training Loss: 0.0044 + Validation Loss: 0.0102 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9984 - Training Loss: 0.0028 - Validation Loss: 0.0053 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9966 + Training Loss: 0.0043 + Validation Loss: 0.0104 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9980 - Training Loss: 0.0029 - Validation Loss: 0.0059 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9977 + Training Loss: 0.0035 + Validation Loss: 0.0072 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9972 - Training Loss: 0.0028 - Validation Loss: 0.0067 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9971 + Training Loss: 0.0026 + Validation Loss: 0.0088 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9980 - Training Loss: 0.0023 - Validation Loss: 0.0052 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9970 + Training Loss: 0.0030 + Validation Loss: 0.0089 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9982 - Training Loss: 0.0016 - Validation Loss: 0.0049 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9979 + Training Loss: 0.0025 + Validation Loss: 0.0076 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9988 - Training Loss: 0.0018 - Validation Loss: 0.0042 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9979 + Training Loss: 0.0028 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9986 - Training Loss: 0.0013 - Validation Loss: 0.0045 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9968 + Training Loss: 0.0025 + Validation Loss: 0.0107 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9988 - Training Loss: 0.0010 - Validation Loss: 0.0040 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9976 + Training Loss: 0.0023 + Validation Loss: 0.0079 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9992 - Training Loss: 0.0017 - Validation Loss: 0.0030 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9983 + Training Loss: 0.0019 + Validation Loss: 0.0055 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9997 + Training Accuracy: 0.9993 Validation Accuracy: 0.9988 - Training Loss: 0.0009 - Validation Loss: 0.0042 + Training Loss: 0.0024 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9988 - Training Loss: 0.0011 - Validation Loss: 0.0045 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9979 + Training Loss: 0.0022 + Validation Loss: 0.0064 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9982 - Training Loss: 0.0012 - Validation Loss: 0.0052 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9981 + Training Loss: 0.0021 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9982 - Training Loss: 0.0017 - Validation Loss: 0.0052 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9977 + Training Loss: 0.0019 + Validation Loss: 0.0068 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9986 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9978 Training Loss: 0.0019 - Validation Loss: 0.0041 + Validation Loss: 0.0069 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9984 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9982 Training Loss: 0.0017 - Validation Loss: 0.0049 + Validation Loss: 0.0059 -------------------------------------------------- Epoch 24 Training Accuracy: 0.9994 - Validation Accuracy: 0.9990 - Training Loss: 0.0017 - Validation Loss: 0.0035 + Validation Accuracy: 0.9992 + Training Loss: 0.0014 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9988 - Training Loss: 0.0007 - Validation Loss: 0.0043 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9976 + Training Loss: 0.0015 + Validation Loss: 0.0069 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9988 - Training Loss: 0.0008 - Validation Loss: 0.0051 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9975 + Training Loss: 0.0016 + Validation Loss: 0.0082 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9982 - Training Loss: 0.0006 - Validation Loss: 0.0048 --------------------------------------------------- -Epoch 28 Training Accuracy: 0.9997 - Validation Accuracy: 0.9988 + Validation Accuracy: 0.9979 Training Loss: 0.0011 - Validation Loss: 0.0035 + Validation Loss: 0.0069 +-------------------------------------------------- +Epoch 28 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9992 + Training Loss: 0.0018 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9980 - Training Loss: 0.0007 - Validation Loss: 0.0060 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9985 + Training Loss: 0.0015 + Validation Loss: 0.0044 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9982 - Training Loss: 0.0005 - Validation Loss: 0.0050 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9985 + Training Loss: 0.0012 + Validation Loss: 0.0046 -------------------------------------------------- diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/BINARY_MobileNetV2_Round2.keras b/MobileNetV2/BINARY_MobileNetV2_Round2/BINARY_MobileNetV2_Round2.keras index 4facdc0adb4a1ae33d8f09c7a09eebfc2ebcdc39..14ce1fafdb8cc88b2098073dbab002cf1b682f1d 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round2/BINARY_MobileNetV2_Round2.keras +++ b/MobileNetV2/BINARY_MobileNetV2_Round2/BINARY_MobileNetV2_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:4838d0cc7dc3cd0313d1f3f810967faf7f82a24d59faa2e6cc0eea677c37a93b -size 13561499 +oid sha256:ac7e38c977cf0780a33aca598af4d8c6bab0588c55a3a4eba7439943d6cdccf6 +size 13565098 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/classification_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round2/classification_metrics.txt index 8f3f10ef70e87caf1473193c8d7c62e65d73e084..48709e5b6cfdefbe688d1858ea520db63a98f8c4 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round2/classification_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round2/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9992 -Recall: 0.9984 -Sensitivity: 0.9984 -Specificity: 0.9992 -F1-Score: 0.9988 +Precision: 1.0000 +Recall: 0.9985 +Sensitivity: 0.9985 +Specificity: 1.0000 +F1-Score: 0.9992 AUC: 1.0000 -MCC: 0.9976 -Cohen's Kappa: 0.9976 -Balanced Accuracy: 0.9988 -Jaccard Index: 0.9976 -Log Loss: 0.0022 -F0.5-Score: 0.9991 +MCC: 0.9985 +Cohen's Kappa: 0.9985 +Balanced Accuracy: 0.9992 +Jaccard Index: 0.9985 +Log Loss: 0.0017 +F0.5-Score: 0.9997 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/confusion_matrix.png b/MobileNetV2/BINARY_MobileNetV2_Round2/confusion_matrix.png index 1a44f35c38c0403bc436ca22dcc8b31405861237..1a4b59a0601c71cbf9c0784928546f0a017f1254 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round2/confusion_matrix.png and b/MobileNetV2/BINARY_MobileNetV2_Round2/confusion_matrix.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/roc_curve.png b/MobileNetV2/BINARY_MobileNetV2_Round2/roc_curve.png index 45ff221908e013cd54b59a5cc1661fa003afbb92..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round2/roc_curve.png and b/MobileNetV2/BINARY_MobileNetV2_Round2/roc_curve.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/testing_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round2/testing_metrics.txt index 6532ed8b39e7bf1edf9a3d7081adfd673802c56a..c96f4383e4a79aa6c47e13e4b1b7e9d956d98ce6 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round2/testing_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9988 +accuracy: 0.9992 auc: 1.0000 -loss: 0.0022 +loss: 0.0017 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/training_accuracy.png b/MobileNetV2/BINARY_MobileNetV2_Round2/training_accuracy.png index 8fa0cfbb53d49d806dee4607110c296fb38a19a4..08bf903e3c068ff3510dd48f4b04bc2bfcef352a 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round2/training_accuracy.png and b/MobileNetV2/BINARY_MobileNetV2_Round2/training_accuracy.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/training_loss.png b/MobileNetV2/BINARY_MobileNetV2_Round2/training_loss.png index b94d02042ee467d2103e3a710d71debce5122f61..7cb25659d1808c2fab9387bfc9e88dcdd5710355 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round2/training_loss.png and b/MobileNetV2/BINARY_MobileNetV2_Round2/training_loss.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round2/training_validation_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round2/training_validation_metrics.txt index 2522c3108e05549430643df1e13b757ad0935cf8..f69d906c7747153bf8323c672af0ff3a856c97bf 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round2/training_validation_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9722 - Validation Accuracy: 0.9932 - Training Loss: 0.0819 - Validation Loss: 0.0210 + Training Accuracy: 0.9749 + Validation Accuracy: 0.9928 + Training Loss: 0.0727 + Validation Loss: 0.0241 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9959 - Validation Accuracy: 0.9948 - Training Loss: 0.0153 - Validation Loss: 0.0130 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9957 + Training Loss: 0.0151 + Validation Loss: 0.0132 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9965 - Validation Accuracy: 0.9964 - Training Loss: 0.0108 - Validation Loss: 0.0098 + Training Accuracy: 0.9968 + Validation Accuracy: 0.9968 + Training Loss: 0.0107 + Validation Loss: 0.0099 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9977 - Validation Accuracy: 0.9972 - Training Loss: 0.0085 - Validation Loss: 0.0081 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9963 + Training Loss: 0.0078 + Validation Loss: 0.0112 -------------------------------------------------- Epoch 5 Training Accuracy: 0.9981 - Validation Accuracy: 0.9972 - Training Loss: 0.0066 - Validation Loss: 0.0080 + Validation Accuracy: 0.9980 + Training Loss: 0.0067 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9976 - Training Loss: 0.0051 - Validation Loss: 0.0070 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9968 + Training Loss: 0.0055 + Validation Loss: 0.0088 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9988 - Training Loss: 0.0044 - Validation Loss: 0.0053 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9970 + Training Loss: 0.0047 + Validation Loss: 0.0079 -------------------------------------------------- Epoch 8 Training Accuracy: 0.9988 - Validation Accuracy: 0.9984 - Training Loss: 0.0038 - Validation Loss: 0.0049 + Validation Accuracy: 0.9967 + Training Loss: 0.0044 + Validation Loss: 0.0100 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9976 - Training Loss: 0.0028 - Validation Loss: 0.0070 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9981 + Training Loss: 0.0041 + Validation Loss: 0.0047 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9993 + Training Accuracy: 0.9990 Validation Accuracy: 0.9974 - Training Loss: 0.0029 - Validation Loss: 0.0065 + Training Loss: 0.0032 + Validation Loss: 0.0070 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9986 - Training Loss: 0.0018 - Validation Loss: 0.0051 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9988 + Training Loss: 0.0031 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9984 - Training Loss: 0.0024 - Validation Loss: 0.0048 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9980 + Training Loss: 0.0031 + Validation Loss: 0.0058 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9986 - Training Loss: 0.0019 - Validation Loss: 0.0044 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9988 + Training Loss: 0.0026 + Validation Loss: 0.0041 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9986 - Training Loss: 0.0017 - Validation Loss: 0.0042 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9978 + Training Loss: 0.0031 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9980 - Training Loss: 0.0017 - Validation Loss: 0.0063 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9957 + Training Loss: 0.0027 + Validation Loss: 0.0136 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9984 - Training Loss: 0.0015 - Validation Loss: 0.0054 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9985 + Training Loss: 0.0024 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9988 - Training Loss: 0.0014 - Validation Loss: 0.0040 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9986 + Training Loss: 0.0022 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9980 - Training Loss: 0.0013 - Validation Loss: 0.0056 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9987 + Training Loss: 0.0022 + Validation Loss: 0.0041 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9986 - Training Loss: 0.0008 - Validation Loss: 0.0059 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9988 + Training Loss: 0.0019 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9990 - Training Loss: 0.0013 - Validation Loss: 0.0038 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9988 + Training Loss: 0.0021 + Validation Loss: 0.0035 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9988 - Training Loss: 0.0014 - Validation Loss: 0.0049 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9986 + Training Loss: 0.0022 + Validation Loss: 0.0038 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0006 - Validation Loss: 0.0038 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9987 + Training Loss: 0.0018 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9986 - Training Loss: 0.0007 - Validation Loss: 0.0053 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9980 + Training Loss: 0.0014 + Validation Loss: 0.0052 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9982 - Training Loss: 0.0009 - Validation Loss: 0.0049 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9986 + Training Loss: 0.0020 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9986 - Training Loss: 0.0008 - Validation Loss: 0.0054 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9975 + Training Loss: 0.0020 + Validation Loss: 0.0079 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9986 - Training Loss: 0.0003 - Validation Loss: 0.0048 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9985 + Training Loss: 0.0017 + Validation Loss: 0.0041 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9976 - Training Loss: 0.0007 - Validation Loss: 0.0078 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9991 + Training Loss: 0.0018 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9980 - Training Loss: 0.0007 - Validation Loss: 0.0058 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9988 - Training Loss: 0.0007 - Validation Loss: 0.0057 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9986 + Training Loss: 0.0012 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9988 - Training Loss: 0.0008 - Validation Loss: 0.0047 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9986 + Training Loss: 0.0020 + Validation Loss: 0.0030 -------------------------------------------------- diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/BINARY_MobileNetV2_Round3.keras b/MobileNetV2/BINARY_MobileNetV2_Round3/BINARY_MobileNetV2_Round3.keras index 676d1251056818e3d4e6beffe9f53bafd078e934..21b022735ed6012b5f4df6f2a00aa65581dcc08f 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round3/BINARY_MobileNetV2_Round3.keras +++ b/MobileNetV2/BINARY_MobileNetV2_Round3/BINARY_MobileNetV2_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:9a3bbba96d3325dad1096013f58f23b700bf9665a64c9e13e24d50c6d5df63ac -size 13561499 +oid sha256:550b56b35ec6410886a7ca5e9e4c97b18d555c1cfe2059244765edf1cae84515 +size 13565098 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/classification_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round3/classification_metrics.txt index d5bace08edc20f16e4cc7a42f0238dd105c60a42..2b51c395c565cff0a62197c4fc98a38f38f08eba 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round3/classification_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9976 -Recall: 1.0000 -Sensitivity: 1.0000 -Specificity: 0.9976 +Precision: 1.0000 +Recall: 0.9977 +Sensitivity: 0.9977 +Specificity: 1.0000 F1-Score: 0.9988 AUC: 1.0000 -MCC: 0.9976 -Cohen's Kappa: 0.9976 +MCC: 0.9977 +Cohen's Kappa: 0.9977 Balanced Accuracy: 0.9988 -Jaccard Index: 0.9976 -Log Loss: 0.0047 -F0.5-Score: 0.9981 +Jaccard Index: 0.9977 +Log Loss: 0.0044 +F0.5-Score: 0.9995 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/confusion_matrix.png b/MobileNetV2/BINARY_MobileNetV2_Round3/confusion_matrix.png index 02e63221c8357f16a47f44754ad0e7d27a51e284..9647c37044c3db6416e766d86934382df31cc733 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round3/confusion_matrix.png and b/MobileNetV2/BINARY_MobileNetV2_Round3/confusion_matrix.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/roc_curve.png b/MobileNetV2/BINARY_MobileNetV2_Round3/roc_curve.png index 007e745537e7ff64fa32df1d828680ff6c4b972d..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round3/roc_curve.png and b/MobileNetV2/BINARY_MobileNetV2_Round3/roc_curve.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/testing_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round3/testing_metrics.txt index 0ddc4b928873fc12dba996e9c9216c62b4a65fc2..122b28508ef58370486d26f0271f9395caeb71c1 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round3/testing_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 0.9988 auc: 1.0000 -loss: 0.0047 +loss: 0.0044 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/training_accuracy.png b/MobileNetV2/BINARY_MobileNetV2_Round3/training_accuracy.png index 323254494d2c1f7fe61a1fee6bb016fafd5ac36c..e71594bffb3923eceb76af3e290c422867daa775 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round3/training_accuracy.png and b/MobileNetV2/BINARY_MobileNetV2_Round3/training_accuracy.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/training_loss.png b/MobileNetV2/BINARY_MobileNetV2_Round3/training_loss.png index d16819092ec6edfe425b3428a0061e35c23a8e7f..d543a40e977bed47a6e6fc6f175f046d17187d13 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round3/training_loss.png and b/MobileNetV2/BINARY_MobileNetV2_Round3/training_loss.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round3/training_validation_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round3/training_validation_metrics.txt index 20bd79aff5c576f763e634c64fe28bb8c3a92468..d908890d0ac051edaa6d53d936981fc7f41aa825 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round3/training_validation_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9706 - Validation Accuracy: 0.9930 - Training Loss: 0.0832 - Validation Loss: 0.0214 + Training Accuracy: 0.9763 + Validation Accuracy: 0.9934 + Training Loss: 0.0727 + Validation Loss: 0.0217 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9950 - Validation Accuracy: 0.9936 - Training Loss: 0.0165 - Validation Loss: 0.0167 + Training Accuracy: 0.9956 + Validation Accuracy: 0.9954 + Training Loss: 0.0154 + Validation Loss: 0.0139 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9972 - Validation Accuracy: 0.9946 - Training Loss: 0.0102 - Validation Loss: 0.0136 + Training Accuracy: 0.9971 + Validation Accuracy: 0.9953 + Training Loss: 0.0104 + Validation Loss: 0.0147 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9960 - Training Loss: 0.0071 - Validation Loss: 0.0105 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9972 + Training Loss: 0.0081 + Validation Loss: 0.0084 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9968 - Training Loss: 0.0060 - Validation Loss: 0.0084 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9975 + Training Loss: 0.0071 + Validation Loss: 0.0068 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9968 - Training Loss: 0.0057 - Validation Loss: 0.0079 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9972 + Training Loss: 0.0054 + Validation Loss: 0.0064 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9968 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9964 Training Loss: 0.0048 - Validation Loss: 0.0080 + Validation Loss: 0.0089 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9974 - Training Loss: 0.0033 - Validation Loss: 0.0063 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9973 + Training Loss: 0.0042 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9976 - Training Loss: 0.0036 - Validation Loss: 0.0067 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9964 + Training Loss: 0.0040 + Validation Loss: 0.0102 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9978 - Training Loss: 0.0018 - Validation Loss: 0.0058 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9972 + Training Loss: 0.0032 + Validation Loss: 0.0081 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9984 - Training Loss: 0.0033 - Validation Loss: 0.0048 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9974 + Training Loss: 0.0031 + Validation Loss: 0.0063 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9988 - Training Loss: 0.0031 - Validation Loss: 0.0039 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9967 + Training Loss: 0.0034 + Validation Loss: 0.0095 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9984 - Training Loss: 0.0017 - Validation Loss: 0.0055 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9986 + Training Loss: 0.0026 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9986 - Training Loss: 0.0015 - Validation Loss: 0.0051 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9980 + Training Loss: 0.0025 + Validation Loss: 0.0056 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9972 - Training Loss: 0.0011 - Validation Loss: 0.0067 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9971 + Training Loss: 0.0026 + Validation Loss: 0.0084 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9984 - Training Loss: 0.0015 - Validation Loss: 0.0050 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9983 + Training Loss: 0.0023 + Validation Loss: 0.0036 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9988 - Training Loss: 0.0018 - Validation Loss: 0.0044 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9986 + Training Loss: 0.0021 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9978 - Training Loss: 0.0014 - Validation Loss: 0.0063 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9991 + Training Loss: 0.0021 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 19 Training Accuracy: 0.9994 - Validation Accuracy: 0.9984 - Training Loss: 0.0020 - Validation Loss: 0.0047 + Validation Accuracy: 0.9974 + Training Loss: 0.0022 + Validation Loss: 0.0066 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9984 - Training Loss: 0.0010 - Validation Loss: 0.0049 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9973 + Training Loss: 0.0016 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9986 - Training Loss: 0.0011 - Validation Loss: 0.0038 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9979 + Training Loss: 0.0019 + Validation Loss: 0.0056 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9982 - Training Loss: 0.0009 - Validation Loss: 0.0054 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9984 + Training Loss: 0.0018 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9984 - Training Loss: 0.0006 - Validation Loss: 0.0041 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9963 + Training Loss: 0.0017 + Validation Loss: 0.0095 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9984 - Training Loss: 0.0014 - Validation Loss: 0.0039 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9991 + Training Loss: 0.0021 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9980 - Training Loss: 0.0007 - Validation Loss: 0.0047 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9972 + Training Loss: 0.0011 + Validation Loss: 0.0079 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9984 - Training Loss: 0.0007 - Validation Loss: 0.0045 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9986 + Training Loss: 0.0015 + Validation Loss: 0.0041 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9992 - Training Loss: 0.0008 - Validation Loss: 0.0031 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9986 + Training Loss: 0.0014 + Validation Loss: 0.0041 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9978 - Training Loss: 0.0005 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9974 + Training Loss: 0.0014 Validation Loss: 0.0073 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9980 - Training Loss: 0.0007 - Validation Loss: 0.0059 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9988 + Training Loss: 0.0013 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9998 + Training Accuracy: 0.9994 Validation Accuracy: 0.9978 - Training Loss: 0.0008 - Validation Loss: 0.0070 + Training Loss: 0.0016 + Validation Loss: 0.0063 -------------------------------------------------- diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/BINARY_MobileNetV2_Round4.keras b/MobileNetV2/BINARY_MobileNetV2_Round4/BINARY_MobileNetV2_Round4.keras index 6b2b07366b1d6bf178255e8dc3910bbccea2e815..740296ce5acbe9234d57c7ba3a8e04268129686d 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round4/BINARY_MobileNetV2_Round4.keras +++ b/MobileNetV2/BINARY_MobileNetV2_Round4/BINARY_MobileNetV2_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:19024e3966ad8c3e7c7478d841394f85c865026b38a7a2a9b66a852de417674f -size 13561499 +oid sha256:a0c010222cb95a55cbad607269be159ab2e3f80bc385ac6918baff892a16560a +size 13565098 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/classification_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round4/classification_metrics.txt index 3dd27b9fb028365a7b80fcd0b0f47132d410aba7..e8028a4ce8c03d7130370557850949c9145ee851 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round4/classification_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round4/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9984 -Recall: 1.0000 -Sensitivity: 1.0000 -Specificity: 0.9984 -F1-Score: 0.9992 +Precision: 1.0000 +Recall: 0.9988 +Sensitivity: 0.9988 +Specificity: 1.0000 +F1-Score: 0.9994 AUC: 1.0000 -MCC: 0.9984 -Cohen's Kappa: 0.9984 -Balanced Accuracy: 0.9992 -Jaccard Index: 0.9984 -Log Loss: 0.0031 -F0.5-Score: 0.9987 +MCC: 0.9988 +Cohen's Kappa: 0.9988 +Balanced Accuracy: 0.9994 +Jaccard Index: 0.9988 +Log Loss: 0.0015 +F0.5-Score: 0.9998 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/confusion_matrix.png b/MobileNetV2/BINARY_MobileNetV2_Round4/confusion_matrix.png index 22a1837c279a4a716cf850f610e74cba45cdc12f..6998cd890c8af6e84d366d9b74c88f12a6d95890 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round4/confusion_matrix.png and b/MobileNetV2/BINARY_MobileNetV2_Round4/confusion_matrix.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/roc_curve.png b/MobileNetV2/BINARY_MobileNetV2_Round4/roc_curve.png index 2731c63ed74a684ff31dca639ed500764ff06df2..797cdcd3de4bea8c0da1085aa38e7a2afbb59372 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round4/roc_curve.png and b/MobileNetV2/BINARY_MobileNetV2_Round4/roc_curve.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/testing_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round4/testing_metrics.txt index 7dc3f345d3f1c4ccb1c9006957252fc4a1549b83..c212dbf764c12150f4c618f8b743b11a8a51e492 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round4/testing_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9992 -auc: 0.9996 -loss: 0.0031 +accuracy: 0.9994 +auc: 1.0000 +loss: 0.0015 diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/training_accuracy.png b/MobileNetV2/BINARY_MobileNetV2_Round4/training_accuracy.png index 5249fa1673806951667b2f1fe9091106278ecd4c..b55fb77455e0cd271513b79cb501381160863de5 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round4/training_accuracy.png and b/MobileNetV2/BINARY_MobileNetV2_Round4/training_accuracy.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/training_loss.png b/MobileNetV2/BINARY_MobileNetV2_Round4/training_loss.png index 7962bc7a3a701633e2c7b7781022ce66e59c4ad2..836f547830f0f2703a0fb6ecbc9ec30a311a5cd1 100644 Binary files a/MobileNetV2/BINARY_MobileNetV2_Round4/training_loss.png and b/MobileNetV2/BINARY_MobileNetV2_Round4/training_loss.png differ diff --git a/MobileNetV2/BINARY_MobileNetV2_Round4/training_validation_metrics.txt b/MobileNetV2/BINARY_MobileNetV2_Round4/training_validation_metrics.txt index 1ca77cc8201b0df414472bf07de51998f8ddd945..eb7651bcff088709c4bc66654b08637914d5a9fa 100644 --- a/MobileNetV2/BINARY_MobileNetV2_Round4/training_validation_metrics.txt +++ b/MobileNetV2/BINARY_MobileNetV2_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9697 - Validation Accuracy: 0.9900 - Training Loss: 0.0878 - Validation Loss: 0.0295 + Training Accuracy: 0.9761 + Validation Accuracy: 0.9932 + Training Loss: 0.0704 + Validation Loss: 0.0223 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9960 - Validation Accuracy: 0.9944 - Training Loss: 0.0163 - Validation Loss: 0.0165 + Training Accuracy: 0.9955 + Validation Accuracy: 0.9972 + Training Loss: 0.0151 + Validation Loss: 0.0095 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9966 - Validation Accuracy: 0.9956 - Training Loss: 0.0112 - Validation Loss: 0.0121 + Training Accuracy: 0.9967 + Validation Accuracy: 0.9979 + Training Loss: 0.0104 + Validation Loss: 0.0063 -------------------------------------------------- Epoch 4 Training Accuracy: 0.9977 - Validation Accuracy: 0.9952 - Training Loss: 0.0084 - Validation Loss: 0.0118 + Validation Accuracy: 0.9981 + Training Loss: 0.0077 + Validation Loss: 0.0058 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9966 - Training Loss: 0.0065 - Validation Loss: 0.0079 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9977 + Training Loss: 0.0067 + Validation Loss: 0.0072 -------------------------------------------------- Epoch 6 Training Accuracy: 0.9986 - Validation Accuracy: 0.9958 - Training Loss: 0.0050 - Validation Loss: 0.0102 + Validation Accuracy: 0.9987 + Training Loss: 0.0054 + Validation Loss: 0.0046 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9962 - Training Loss: 0.0042 - Validation Loss: 0.0077 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9988 + Training Loss: 0.0048 + Validation Loss: 0.0037 -------------------------------------------------- Epoch 8 Training Accuracy: 0.9989 - Validation Accuracy: 0.9974 - Training Loss: 0.0033 - Validation Loss: 0.0068 + Validation Accuracy: 0.9985 + Training Loss: 0.0036 + Validation Loss: 0.0036 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9968 - Training Loss: 0.0039 - Validation Loss: 0.0077 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9985 + Training Loss: 0.0042 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9974 - Training Loss: 0.0033 - Validation Loss: 0.0059 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9993 + Training Loss: 0.0040 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9988 - Training Loss: 0.0028 - Validation Loss: 0.0044 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9990 + Training Loss: 0.0033 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9984 - Training Loss: 0.0019 - Validation Loss: 0.0043 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9989 + Training Loss: 0.0030 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9972 - Training Loss: 0.0021 - Validation Loss: 0.0062 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9989 + Training Loss: 0.0030 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9980 - Training Loss: 0.0013 - Validation Loss: 0.0049 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9989 + Training Loss: 0.0025 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9988 - Training Loss: 0.0016 - Validation Loss: 0.0041 --------------------------------------------------- -Epoch 16 Training Accuracy: 0.9994 - Validation Accuracy: 0.9988 + Validation Accuracy: 0.9986 Training Loss: 0.0018 - Validation Loss: 0.0041 + Validation Loss: 0.0039 -------------------------------------------------- -Epoch 17 +Epoch 16 Training Accuracy: 0.9993 Validation Accuracy: 0.9980 - Training Loss: 0.0021 - Validation Loss: 0.0051 + Training Loss: 0.0024 + Validation Loss: 0.0053 +-------------------------------------------------- +Epoch 17 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9989 + Training Loss: 0.0023 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9986 - Training Loss: 0.0012 - Validation Loss: 0.0042 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9989 + Training Loss: 0.0021 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9980 - Training Loss: 0.0010 - Validation Loss: 0.0044 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9989 + Training Loss: 0.0016 + Validation Loss: 0.0035 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9986 - Training Loss: 0.0009 - Validation Loss: 0.0045 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9990 + Training Loss: 0.0016 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9978 - Training Loss: 0.0009 - Validation Loss: 0.0060 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9975 + Training Loss: 0.0021 + Validation Loss: 0.0062 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9988 - Training Loss: 0.0013 - Validation Loss: 0.0041 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9989 + Training Loss: 0.0018 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9984 - Training Loss: 0.0006 - Validation Loss: 0.0042 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9976 + Training Loss: 0.0017 + Validation Loss: 0.0055 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0010 - Validation Loss: 0.0041 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9986 + Training Loss: 0.0020 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9978 - Training Loss: 0.0006 - Validation Loss: 0.0058 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9992 + Training Loss: 0.0016 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 26 Training Accuracy: 0.9997 - Validation Accuracy: 0.9986 - Training Loss: 0.0008 - Validation Loss: 0.0047 + Validation Accuracy: 0.9985 + Training Loss: 0.0010 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9980 - Training Loss: 0.0005 - Validation Loss: 0.0055 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9986 + Training Loss: 0.0013 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9968 - Training Loss: 0.0005 - Validation Loss: 0.0086 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9974 + Training Loss: 0.0016 + Validation Loss: 0.0071 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9998 + Training Accuracy: 0.9996 Validation Accuracy: 0.9986 - Training Loss: 0.0007 - Validation Loss: 0.0039 + Training Loss: 0.0012 + Validation Loss: 0.0047 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0007 - Validation Loss: 0.0036 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9989 + Training Loss: 0.0015 + Validation Loss: 0.0033 -------------------------------------------------- diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/BINARY_NASNetMobile_Round1.keras b/NASNetMobile/BINARY_NASNetMobile_Round1/BINARY_NASNetMobile_Round1.keras index b101faa52190556448b6c3769f68cc3ede24e253..7d110800a443828004d29d191e519358c0a2fe21 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round1/BINARY_NASNetMobile_Round1.keras +++ b/NASNetMobile/BINARY_NASNetMobile_Round1/BINARY_NASNetMobile_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:47b5ca755be7cd831f62e9608a86c758570ccb74f7303c1752ae4fc4e16692c6 -size 23074075 +oid sha256:79e5edb147455d66f69e43eb4041a11ca7eee82344648075e6b8b9b6da876eac +size 23087054 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/classification_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round1/classification_metrics.txt index 6c6de5ad22e3b57839a198373321706269d3d283..0b86c292c82c898aa3827f1dd75f2325187f8c81 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round1/classification_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9968 -Recall: 0.9992 -Sensitivity: 0.9992 -Specificity: 0.9967 -F1-Score: 0.9980 +Precision: 0.9985 +Recall: 0.9973 +Sensitivity: 0.9973 +Specificity: 0.9985 +F1-Score: 0.9979 AUC: 1.0000 -MCC: 0.9960 -Cohen's Kappa: 0.9960 -Balanced Accuracy: 0.9980 -Jaccard Index: 0.9961 -Log Loss: 0.0063 -F0.5-Score: 0.9973 +MCC: 0.9958 +Cohen's Kappa: 0.9957 +Balanced Accuracy: 0.9979 +Jaccard Index: 0.9958 +Log Loss: 0.0075 +F0.5-Score: 0.9982 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/confusion_matrix.png b/NASNetMobile/BINARY_NASNetMobile_Round1/confusion_matrix.png index 0c053c9b71da10e24dec968e79dfdb2d8a7cc05e..b43c1d703d91ad2551c0b6eca481657be9408229 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round1/confusion_matrix.png and b/NASNetMobile/BINARY_NASNetMobile_Round1/confusion_matrix.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/roc_curve.png b/NASNetMobile/BINARY_NASNetMobile_Round1/roc_curve.png index 32365155767254cb1759da4f638732150f1b1080..47f4b5d7597dcc9065d00c9d2ca42c95fcfd9344 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round1/roc_curve.png and b/NASNetMobile/BINARY_NASNetMobile_Round1/roc_curve.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/testing_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round1/testing_metrics.txt index e2a758b504dc688d5f11b900960947adeec5e929..719637f8a14c281768d01afe4cffd200df21d073 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round1/testing_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9980 -auc: 1.0000 -loss: 0.0063 +accuracy: 0.9979 +auc: 0.9998 +loss: 0.0075 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/training_accuracy.png b/NASNetMobile/BINARY_NASNetMobile_Round1/training_accuracy.png index d03ad91d30e2b5071f87a019c19a4c086a2cdaf3..85716ceb1c8a316bd2c6c4bc1b7b75038d71a068 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round1/training_accuracy.png and b/NASNetMobile/BINARY_NASNetMobile_Round1/training_accuracy.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/training_loss.png b/NASNetMobile/BINARY_NASNetMobile_Round1/training_loss.png index b82201e910189f075ba8277d23efa7c6de881590..377046bd7e5bd1f76d2dfa2d355595a986d57c95 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round1/training_loss.png and b/NASNetMobile/BINARY_NASNetMobile_Round1/training_loss.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round1/training_validation_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round1/training_validation_metrics.txt index 4dfb263b2ef12334cb71c4df726a013050456723..ffccd674466bfb8770b7777e8dbba685b6352b12 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round1/training_validation_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9554 - Validation Accuracy: 0.9936 - Training Loss: 0.1320 - Validation Loss: 0.0405 + Training Accuracy: 0.9627 + Validation Accuracy: 0.9892 + Training Loss: 0.1087 + Validation Loss: 0.0377 -------------------------------------------------- Epoch 2 Training Accuracy: 0.9901 - Validation Accuracy: 0.9948 - Training Loss: 0.0346 - Validation Loss: 0.0248 + Validation Accuracy: 0.9889 + Training Loss: 0.0325 + Validation Loss: 0.0300 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9932 - Validation Accuracy: 0.9956 - Training Loss: 0.0228 - Validation Loss: 0.0178 + Training Accuracy: 0.9928 + Validation Accuracy: 0.9905 + Training Loss: 0.0238 + Validation Loss: 0.0251 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9950 - Validation Accuracy: 0.9962 - Training Loss: 0.0165 - Validation Loss: 0.0166 + Training Accuracy: 0.9943 + Validation Accuracy: 0.9916 + Training Loss: 0.0185 + Validation Loss: 0.0226 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9961 - Validation Accuracy: 0.9970 - Training Loss: 0.0137 - Validation Loss: 0.0124 + Training Accuracy: 0.9949 + Validation Accuracy: 0.9926 + Training Loss: 0.0159 + Validation Loss: 0.0205 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9960 - Validation Accuracy: 0.9972 - Training Loss: 0.0123 - Validation Loss: 0.0109 + Training Accuracy: 0.9956 + Validation Accuracy: 0.9939 + Training Loss: 0.0136 + Validation Loss: 0.0176 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9973 - Validation Accuracy: 0.9974 - Training Loss: 0.0099 - Validation Loss: 0.0093 + Training Accuracy: 0.9963 + Validation Accuracy: 0.9943 + Training Loss: 0.0116 + Validation Loss: 0.0155 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9973 - Validation Accuracy: 0.9970 - Training Loss: 0.0085 - Validation Loss: 0.0091 + Training Accuracy: 0.9967 + Validation Accuracy: 0.9941 + Training Loss: 0.0109 + Validation Loss: 0.0155 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9973 - Validation Accuracy: 0.9972 - Training Loss: 0.0087 - Validation Loss: 0.0085 + Training Accuracy: 0.9968 + Validation Accuracy: 0.9940 + Training Loss: 0.0102 + Validation Loss: 0.0177 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9970 - Training Loss: 0.0067 - Validation Loss: 0.0083 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9960 + Training Loss: 0.0096 + Validation Loss: 0.0117 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9972 - Training Loss: 0.0069 - Validation Loss: 0.0092 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9941 + Training Loss: 0.0086 + Validation Loss: 0.0164 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9980 - Validation Accuracy: 0.9976 - Training Loss: 0.0064 - Validation Loss: 0.0073 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9946 + Training Loss: 0.0088 + Validation Loss: 0.0150 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9966 - Training Loss: 0.0052 - Validation Loss: 0.0081 + Training Accuracy: 0.9974 + Validation Accuracy: 0.9952 + Training Loss: 0.0079 + Validation Loss: 0.0122 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9966 - Training Loss: 0.0052 - Validation Loss: 0.0084 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9950 + Training Loss: 0.0066 + Validation Loss: 0.0128 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9968 - Training Loss: 0.0048 - Validation Loss: 0.0092 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9962 + Training Loss: 0.0060 + Validation Loss: 0.0097 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9982 - Training Loss: 0.0041 - Validation Loss: 0.0061 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9964 + Training Loss: 0.0070 + Validation Loss: 0.0100 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9972 - Training Loss: 0.0048 - Validation Loss: 0.0070 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9971 + Training Loss: 0.0060 + Validation Loss: 0.0088 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9948 - Training Loss: 0.0041 - Validation Loss: 0.0133 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9964 + Training Loss: 0.0058 + Validation Loss: 0.0099 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9962 - Training Loss: 0.0043 - Validation Loss: 0.0107 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9966 + Training Loss: 0.0059 + Validation Loss: 0.0091 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9982 - Training Loss: 0.0034 - Validation Loss: 0.0054 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9963 + Training Loss: 0.0050 + Validation Loss: 0.0103 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9980 - Training Loss: 0.0031 - Validation Loss: 0.0052 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9968 + Training Loss: 0.0053 + Validation Loss: 0.0084 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9974 - Training Loss: 0.0033 - Validation Loss: 0.0059 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9951 + Training Loss: 0.0047 + Validation Loss: 0.0143 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9980 - Training Loss: 0.0028 - Validation Loss: 0.0060 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9962 + Training Loss: 0.0036 + Validation Loss: 0.0094 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9982 - Training Loss: 0.0031 - Validation Loss: 0.0051 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9944 + Training Loss: 0.0037 + Validation Loss: 0.0152 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9974 - Training Loss: 0.0032 - Validation Loss: 0.0070 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9965 + Training Loss: 0.0037 + Validation Loss: 0.0086 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9964 - Training Loss: 0.0021 - Validation Loss: 0.0114 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9934 + Training Loss: 0.0039 + Validation Loss: 0.0197 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9974 - Training Loss: 0.0021 - Validation Loss: 0.0062 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9964 + Training Loss: 0.0037 + Validation Loss: 0.0090 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9966 - Training Loss: 0.0022 - Validation Loss: 0.0089 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9959 + Training Loss: 0.0033 + Validation Loss: 0.0101 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9980 - Training Loss: 0.0028 - Validation Loss: 0.0057 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9966 + Training Loss: 0.0039 + Validation Loss: 0.0082 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9978 - Training Loss: 0.0036 - Validation Loss: 0.0064 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9974 + Training Loss: 0.0033 + Validation Loss: 0.0068 -------------------------------------------------- diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras b/NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras index dab1bb7bb83d9d4ef190e57279ec0ccf4b0fbb4e..6fe989f21b1d7e884bdf26f42acdb8005cf05e0b 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras +++ b/NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:cb4caf506bfd887bcb52b2e1e4137bc45e550339120e976524d6ead2fd67d39b -size 23074075 +oid sha256:941b64ddc56973058dd51af526b323938947ac6aba9f7009d4dcdf32fe188205 +size 23087054 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/classification_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round2/classification_metrics.txt index 77d23b257cdf12e1224d59a2b53606d73356e4be..fe7b6ff3651da166b3462a63426b5626caa1c9c9 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round2/classification_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round2/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9961 -Recall: 0.9992 -Sensitivity: 0.9992 -Specificity: 0.9959 -F1-Score: 0.9976 +Precision: 0.9985 +Recall: 0.9961 +Sensitivity: 0.9961 +Specificity: 0.9985 +F1-Score: 0.9973 AUC: 1.0000 -MCC: 0.9952 -Cohen's Kappa: 0.9952 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9953 -Log Loss: 0.0063 -F0.5-Score: 0.9967 +MCC: 0.9946 +Cohen's Kappa: 0.9946 +Balanced Accuracy: 0.9973 +Jaccard Index: 0.9946 +Log Loss: 0.0093 +F0.5-Score: 0.9980 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/confusion_matrix.png b/NASNetMobile/BINARY_NASNetMobile_Round2/confusion_matrix.png index cc52ae8b6edb9f38fa8200836aaa26699443e3df..46cb413fe06cbcc349a18f80fbd72fe560c610c6 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round2/confusion_matrix.png and b/NASNetMobile/BINARY_NASNetMobile_Round2/confusion_matrix.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/roc_curve.png b/NASNetMobile/BINARY_NASNetMobile_Round2/roc_curve.png index 515d907ead6b0c27179b891dbc75d4426d14806c..39f2f94e8ada34f4d77fc8ce13328ae7234225d3 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round2/roc_curve.png and b/NASNetMobile/BINARY_NASNetMobile_Round2/roc_curve.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/testing_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round2/testing_metrics.txt index 74625067d4d0fb34b7020bfd3796d554e701c9f3..4a6b590b503640713ae21b106b3db737dd36e808 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round2/testing_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9976 -auc: 1.0000 -loss: 0.0063 +accuracy: 0.9973 +auc: 0.9996 +loss: 0.0093 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/training_accuracy.png b/NASNetMobile/BINARY_NASNetMobile_Round2/training_accuracy.png index db233117f9521fc253a7a6e2846bde5710dbc484..543dbbfa3a440820079fba938ce37a87867aec91 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round2/training_accuracy.png and b/NASNetMobile/BINARY_NASNetMobile_Round2/training_accuracy.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/training_loss.png b/NASNetMobile/BINARY_NASNetMobile_Round2/training_loss.png index 0894faa7d90ecfaa2692171b743a9af2a89c0768..619eac2b8a14279736f8f927c31f734bf67c4b2a 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round2/training_loss.png and b/NASNetMobile/BINARY_NASNetMobile_Round2/training_loss.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round2/training_validation_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round2/training_validation_metrics.txt index 7ff082195988cbfee2a51fec4db223ac0ef54cb6..acd544bea192828bd724464505cd9c53ac27d526 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round2/training_validation_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9581 - Validation Accuracy: 0.9926 - Training Loss: 0.1268 - Validation Loss: 0.0368 + Training Accuracy: 0.9630 + Validation Accuracy: 0.9884 + Training Loss: 0.1096 + Validation Loss: 0.0397 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9904 - Validation Accuracy: 0.9956 - Training Loss: 0.0339 - Validation Loss: 0.0224 + Training Accuracy: 0.9893 + Validation Accuracy: 0.9932 + Training Loss: 0.0342 + Validation Loss: 0.0244 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9934 - Validation Accuracy: 0.9964 - Training Loss: 0.0211 - Validation Loss: 0.0169 + Training Accuracy: 0.9920 + Validation Accuracy: 0.9930 + Training Loss: 0.0245 + Validation Loss: 0.0214 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9943 - Validation Accuracy: 0.9960 - Training Loss: 0.0180 - Validation Loss: 0.0170 + Training Accuracy: 0.9941 + Validation Accuracy: 0.9929 + Training Loss: 0.0194 + Validation Loss: 0.0208 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9952 - Validation Accuracy: 0.9964 - Training Loss: 0.0150 - Validation Loss: 0.0131 + Training Accuracy: 0.9949 + Validation Accuracy: 0.9920 + Training Loss: 0.0162 + Validation Loss: 0.0219 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9968 - Validation Accuracy: 0.9962 - Training Loss: 0.0117 - Validation Loss: 0.0132 + Training Accuracy: 0.9952 + Validation Accuracy: 0.9932 + Training Loss: 0.0141 + Validation Loss: 0.0195 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9968 - Validation Accuracy: 0.9964 - Training Loss: 0.0103 - Validation Loss: 0.0110 + Training Accuracy: 0.9963 + Validation Accuracy: 0.9945 + Training Loss: 0.0116 + Validation Loss: 0.0157 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9974 - Validation Accuracy: 0.9964 - Training Loss: 0.0082 - Validation Loss: 0.0101 + Training Accuracy: 0.9968 + Validation Accuracy: 0.9953 + Training Loss: 0.0108 + Validation Loss: 0.0128 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9974 - Validation Accuracy: 0.9966 - Training Loss: 0.0083 - Validation Loss: 0.0098 + Training Accuracy: 0.9969 + Validation Accuracy: 0.9939 + Training Loss: 0.0095 + Validation Loss: 0.0153 -------------------------------------------------- Epoch 10 Training Accuracy: 0.9974 - Validation Accuracy: 0.9978 - Training Loss: 0.0075 - Validation Loss: 0.0072 + Validation Accuracy: 0.9964 + Training Loss: 0.0086 + Validation Loss: 0.0108 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9966 - Training Loss: 0.0064 - Validation Loss: 0.0091 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9960 + Training Loss: 0.0087 + Validation Loss: 0.0107 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9975 - Validation Accuracy: 0.9966 - Training Loss: 0.0075 - Validation Loss: 0.0094 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9961 + Training Loss: 0.0079 + Validation Loss: 0.0120 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9964 - Training Loss: 0.0052 - Validation Loss: 0.0089 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9972 + Training Loss: 0.0073 + Validation Loss: 0.0085 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9970 - Training Loss: 0.0051 - Validation Loss: 0.0072 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9962 + Training Loss: 0.0064 + Validation Loss: 0.0095 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9962 - Training Loss: 0.0044 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9966 + Training Loss: 0.0061 Validation Loss: 0.0096 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9968 - Training Loss: 0.0045 - Validation Loss: 0.0087 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9969 + Training Loss: 0.0061 + Validation Loss: 0.0088 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9954 - Training Loss: 0.0052 - Validation Loss: 0.0109 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9978 + Training Loss: 0.0060 + Validation Loss: 0.0081 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9966 - Training Loss: 0.0045 - Validation Loss: 0.0085 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9977 + Training Loss: 0.0064 + Validation Loss: 0.0074 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9972 - Training Loss: 0.0041 - Validation Loss: 0.0090 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9966 + Training Loss: 0.0052 + Validation Loss: 0.0087 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9976 - Training Loss: 0.0030 - Validation Loss: 0.0077 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9969 + Training Loss: 0.0040 + Validation Loss: 0.0084 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9970 - Training Loss: 0.0037 - Validation Loss: 0.0094 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9976 + Training Loss: 0.0051 + Validation Loss: 0.0077 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9978 - Training Loss: 0.0037 - Validation Loss: 0.0075 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9968 + Training Loss: 0.0044 + Validation Loss: 0.0085 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9978 - Training Loss: 0.0035 - Validation Loss: 0.0071 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9961 + Training Loss: 0.0047 + Validation Loss: 0.0097 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9976 - Training Loss: 0.0032 - Validation Loss: 0.0057 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9962 + Training Loss: 0.0046 + Validation Loss: 0.0099 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9974 - Training Loss: 0.0029 - Validation Loss: 0.0067 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9982 + Training Loss: 0.0048 + Validation Loss: 0.0053 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9976 - Training Loss: 0.0027 - Validation Loss: 0.0067 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9978 + Training Loss: 0.0042 + Validation Loss: 0.0065 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9976 - Training Loss: 0.0023 - Validation Loss: 0.0064 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9967 + Training Loss: 0.0037 + Validation Loss: 0.0081 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9976 - Training Loss: 0.0024 - Validation Loss: 0.0061 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9971 + Training Loss: 0.0038 + Validation Loss: 0.0076 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9980 - Training Loss: 0.0022 - Validation Loss: 0.0053 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9977 + Training Loss: 0.0030 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9970 - Training Loss: 0.0031 - Validation Loss: 0.0062 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9976 + Training Loss: 0.0037 + Validation Loss: 0.0065 -------------------------------------------------- diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/BINARY_NASNetMobile_Round3.keras b/NASNetMobile/BINARY_NASNetMobile_Round3/BINARY_NASNetMobile_Round3.keras index e8bb289525a74e96f5975beedd6abb46577e2268..d63e3095106bee21254284548acc68694abea334 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round3/BINARY_NASNetMobile_Round3.keras +++ b/NASNetMobile/BINARY_NASNetMobile_Round3/BINARY_NASNetMobile_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:08abe8030a2c400ab634942244d5d3c9c0cba7a5012a0f85a9646f592540b300 -size 23074075 +oid sha256:99c17a7eb47f8e0847bfd63a6c423821ee39784df21da64ff7186ec5545ee9f9 +size 23087054 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/classification_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round3/classification_metrics.txt index b54067bd2fb16b28eab45430b31814b8662c2a18..ac17923902fcb5d1ce699e5fcc6e32630cd6895c 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round3/classification_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9929 -Recall: 0.9992 -Sensitivity: 0.9992 -Specificity: 0.9927 -F1-Score: 0.9961 +Precision: 0.9988 +Recall: 0.9927 +Sensitivity: 0.9927 +Specificity: 0.9988 +F1-Score: 0.9957 AUC: 1.0000 -MCC: 0.9920 -Cohen's Kappa: 0.9920 -Balanced Accuracy: 0.9959 -Jaccard Index: 0.9922 -Log Loss: 0.0140 -F0.5-Score: 0.9942 +MCC: 0.9915 +Cohen's Kappa: 0.9915 +Balanced Accuracy: 0.9957 +Jaccard Index: 0.9915 +Log Loss: 0.0139 +F0.5-Score: 0.9976 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/confusion_matrix.png b/NASNetMobile/BINARY_NASNetMobile_Round3/confusion_matrix.png index 253f9f0d8a6e9c9e4900128cac34470ace68496a..adcb2090ac0d0db8abebe6cbe436cbe8b55cad25 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round3/confusion_matrix.png and b/NASNetMobile/BINARY_NASNetMobile_Round3/confusion_matrix.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/roc_curve.png b/NASNetMobile/BINARY_NASNetMobile_Round3/roc_curve.png index 21d4019931046f067a79e9a5630e05d8908e0230..e22fd2bb57a7ca16e3af214ca384e9acbf3b1fe2 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round3/roc_curve.png and b/NASNetMobile/BINARY_NASNetMobile_Round3/roc_curve.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/testing_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round3/testing_metrics.txt index 1ff669195ac4bf2a4766416c90f21b149dd85e72..b82ef6f5baea847195e2254c33eb93446f98371f 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round3/testing_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9960 -auc: 1.0000 -loss: 0.0140 +accuracy: 0.9957 +auc: 0.9996 +loss: 0.0139 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/training_accuracy.png b/NASNetMobile/BINARY_NASNetMobile_Round3/training_accuracy.png index 3610b8ac345223406cf6d37400c5a112667a5a2d..b5fda5c5da431344082ed8cadcf2fc3a6bed7478 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round3/training_accuracy.png and b/NASNetMobile/BINARY_NASNetMobile_Round3/training_accuracy.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/training_loss.png b/NASNetMobile/BINARY_NASNetMobile_Round3/training_loss.png index 869272c53cabfcb91227abd4d455e7db010b8b83..2f90b98852e26590faa1b17f8cc4ae0ca53daf6b 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round3/training_loss.png and b/NASNetMobile/BINARY_NASNetMobile_Round3/training_loss.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round3/training_validation_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round3/training_validation_metrics.txt index 33d27e0a841bffce9bec8e166b00cfe7c0635cf1..e48561662597a2e1d9b43a4f7a7b186a22779f61 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round3/training_validation_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9592 - Validation Accuracy: 0.9934 - Training Loss: 0.1249 - Validation Loss: 0.0377 + Training Accuracy: 0.9657 + Validation Accuracy: 0.9867 + Training Loss: 0.1026 + Validation Loss: 0.0406 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9902 - Validation Accuracy: 0.9958 - Training Loss: 0.0333 - Validation Loss: 0.0220 + Training Accuracy: 0.9900 + Validation Accuracy: 0.9875 + Training Loss: 0.0320 + Validation Loss: 0.0317 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9938 - Validation Accuracy: 0.9960 - Training Loss: 0.0224 - Validation Loss: 0.0172 + Training Accuracy: 0.9922 + Validation Accuracy: 0.9915 + Training Loss: 0.0243 + Validation Loss: 0.0241 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9958 - Validation Accuracy: 0.9958 - Training Loss: 0.0156 - Validation Loss: 0.0166 + Training Accuracy: 0.9943 + Validation Accuracy: 0.9920 + Training Loss: 0.0185 + Validation Loss: 0.0214 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9951 - Validation Accuracy: 0.9970 - Training Loss: 0.0149 - Validation Loss: 0.0113 + Training Accuracy: 0.9954 + Validation Accuracy: 0.9939 + Training Loss: 0.0159 + Validation Loss: 0.0168 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9962 - Validation Accuracy: 0.9956 - Training Loss: 0.0116 - Validation Loss: 0.0144 + Training Accuracy: 0.9957 + Validation Accuracy: 0.9937 + Training Loss: 0.0138 + Validation Loss: 0.0166 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9971 - Validation Accuracy: 0.9956 - Training Loss: 0.0101 - Validation Loss: 0.0132 + Training Accuracy: 0.9964 + Validation Accuracy: 0.9934 + Training Loss: 0.0121 + Validation Loss: 0.0184 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9970 - Validation Accuracy: 0.9960 - Training Loss: 0.0093 - Validation Loss: 0.0123 + Training Accuracy: 0.9967 + Validation Accuracy: 0.9951 + Training Loss: 0.0107 + Validation Loss: 0.0140 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9970 - Validation Accuracy: 0.9950 - Training Loss: 0.0085 - Validation Loss: 0.0146 + Training Accuracy: 0.9969 + Validation Accuracy: 0.9942 + Training Loss: 0.0094 + Validation Loss: 0.0157 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9960 - Training Loss: 0.0076 - Validation Loss: 0.0104 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9953 + Training Loss: 0.0090 + Validation Loss: 0.0120 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9980 - Validation Accuracy: 0.9964 - Training Loss: 0.0071 - Validation Loss: 0.0117 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9959 + Training Loss: 0.0083 + Validation Loss: 0.0113 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9966 - Training Loss: 0.0064 - Validation Loss: 0.0092 + Training Accuracy: 0.9974 + Validation Accuracy: 0.9960 + Training Loss: 0.0079 + Validation Loss: 0.0113 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9968 - Training Loss: 0.0060 - Validation Loss: 0.0082 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9954 + Training Loss: 0.0064 + Validation Loss: 0.0125 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9964 - Training Loss: 0.0046 - Validation Loss: 0.0101 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9952 + Training Loss: 0.0070 + Validation Loss: 0.0116 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9970 - Training Loss: 0.0054 - Validation Loss: 0.0067 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9941 + Training Loss: 0.0064 + Validation Loss: 0.0163 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9966 - Training Loss: 0.0051 - Validation Loss: 0.0081 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9959 + Training Loss: 0.0056 + Validation Loss: 0.0107 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9964 - Training Loss: 0.0043 - Validation Loss: 0.0095 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9958 + Training Loss: 0.0056 + Validation Loss: 0.0116 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9968 - Training Loss: 0.0043 - Validation Loss: 0.0084 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9947 + Training Loss: 0.0058 + Validation Loss: 0.0144 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9956 - Training Loss: 0.0043 - Validation Loss: 0.0116 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9943 + Training Loss: 0.0047 + Validation Loss: 0.0146 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9966 - Training Loss: 0.0037 - Validation Loss: 0.0099 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9972 + Training Loss: 0.0052 + Validation Loss: 0.0076 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9966 - Training Loss: 0.0036 - Validation Loss: 0.0090 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9970 + Training Loss: 0.0049 + Validation Loss: 0.0076 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9968 - Training Loss: 0.0031 - Validation Loss: 0.0070 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9957 + Training Loss: 0.0045 + Validation Loss: 0.0109 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9962 - Training Loss: 0.0033 - Validation Loss: 0.0103 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9966 + Training Loss: 0.0041 + Validation Loss: 0.0084 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9970 - Training Loss: 0.0041 - Validation Loss: 0.0078 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9965 + Training Loss: 0.0047 + Validation Loss: 0.0092 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9968 - Training Loss: 0.0020 - Validation Loss: 0.0080 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9970 + Training Loss: 0.0041 + Validation Loss: 0.0081 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9964 - Training Loss: 0.0029 - Validation Loss: 0.0084 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9975 + Training Loss: 0.0033 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9972 - Training Loss: 0.0031 - Validation Loss: 0.0069 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9980 + Training Loss: 0.0042 + Validation Loss: 0.0070 -------------------------------------------------- Epoch 28 Training Accuracy: 0.9988 - Validation Accuracy: 0.9968 - Training Loss: 0.0031 - Validation Loss: 0.0065 + Validation Accuracy: 0.9962 + Training Loss: 0.0038 + Validation Loss: 0.0112 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9976 - Training Loss: 0.0023 - Validation Loss: 0.0061 --------------------------------------------------- -Epoch 30 Training Accuracy: 0.9990 - Validation Accuracy: 0.9954 + Validation Accuracy: 0.9964 Training Loss: 0.0031 - Validation Loss: 0.0129 + Validation Loss: 0.0098 +-------------------------------------------------- +Epoch 30 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9956 + Training Loss: 0.0041 + Validation Loss: 0.0111 -------------------------------------------------- diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/BINARY_NASNetMobile_Round4.keras b/NASNetMobile/BINARY_NASNetMobile_Round4/BINARY_NASNetMobile_Round4.keras index a8e792dce1865b1d390798e3c8742df3eebe13c9..514df97eca5f18607457fb5e17844ff3643b8e7f 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round4/BINARY_NASNetMobile_Round4.keras +++ b/NASNetMobile/BINARY_NASNetMobile_Round4/BINARY_NASNetMobile_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:e4c630f472fa5064a89954697e54c4f0eee3230bd777beb0fc6c2090eccbb300 -size 23074075 +oid sha256:45f988cad89d8e78148eb2f12de24581490e4881b10bf131fd0141807f597abc +size 23087054 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/classification_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round4/classification_metrics.txt index 3007240937a94d613c5d72310649f9b05f4e224d..f467ed613c24dc6b87fe477d26e3e89ef2a151e8 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round4/classification_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round4/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9953 -Recall: 0.9992 -Sensitivity: 0.9992 -Specificity: 0.9951 -F1-Score: 0.9972 +Precision: 0.9988 +Recall: 0.9907 +Sensitivity: 0.9907 +Specificity: 0.9988 +F1-Score: 0.9948 AUC: 1.0000 -MCC: 0.9944 -Cohen's Kappa: 0.9944 -Balanced Accuracy: 0.9972 -Jaccard Index: 0.9945 -Log Loss: 0.0078 -F0.5-Score: 0.9961 +MCC: 0.9896 +Cohen's Kappa: 0.9896 +Balanced Accuracy: 0.9948 +Jaccard Index: 0.9896 +Log Loss: 0.0159 +F0.5-Score: 0.9972 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/confusion_matrix.png b/NASNetMobile/BINARY_NASNetMobile_Round4/confusion_matrix.png index 91e92a27d07998b6a6f16c1d2635263fc11305ea..8c1c673db76c0eb59c4a3f4e49ba08d62d7656ba 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round4/confusion_matrix.png and b/NASNetMobile/BINARY_NASNetMobile_Round4/confusion_matrix.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/roc_curve.png b/NASNetMobile/BINARY_NASNetMobile_Round4/roc_curve.png index 2651dbdba9687799a4af0f06eaa4b95359f5d120..bfc682ea70af52dc86deb8925311bfec4119f453 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round4/roc_curve.png and b/NASNetMobile/BINARY_NASNetMobile_Round4/roc_curve.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/testing_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round4/testing_metrics.txt index 0bac1c0ac723650cc1090c353dcabdcec02e3a97..882d97c0a18179d2f0cfd184f6873afed04337de 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round4/testing_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9972 -auc: 1.0000 -loss: 0.0078 +accuracy: 0.9948 +auc: 0.9996 +loss: 0.0159 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/training_accuracy.png b/NASNetMobile/BINARY_NASNetMobile_Round4/training_accuracy.png index b6e796b1eaed9f5dac11eee543af792d2c262ca9..8c8b0fefea5c570a5f3503cd7b5ce68eae4e2ee0 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round4/training_accuracy.png and b/NASNetMobile/BINARY_NASNetMobile_Round4/training_accuracy.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/training_loss.png b/NASNetMobile/BINARY_NASNetMobile_Round4/training_loss.png index b3247404f987d508c04ad9220298839327407eeb..49bd416b791e16ce3b2be7b15f6fbeb65297b3e7 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round4/training_loss.png and b/NASNetMobile/BINARY_NASNetMobile_Round4/training_loss.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round4/training_validation_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round4/training_validation_metrics.txt index 15da829f3664f72198acbbfc4194e2db89969e73..14d2ecc482359d206a82dfd16341d8a17483f8fe 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round4/training_validation_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9546 - Validation Accuracy: 0.9906 - Training Loss: 0.1345 - Validation Loss: 0.0445 + Training Accuracy: 0.9637 + Validation Accuracy: 0.9865 + Training Loss: 0.1053 + Validation Loss: 0.0411 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9907 - Validation Accuracy: 0.9942 - Training Loss: 0.0343 - Validation Loss: 0.0269 + Training Accuracy: 0.9901 + Validation Accuracy: 0.9883 + Training Loss: 0.0333 + Validation Loss: 0.0321 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9931 - Validation Accuracy: 0.9958 - Training Loss: 0.0237 - Validation Loss: 0.0195 + Training Accuracy: 0.9926 + Validation Accuracy: 0.9923 + Training Loss: 0.0225 + Validation Loss: 0.0231 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9946 - Validation Accuracy: 0.9964 - Training Loss: 0.0173 - Validation Loss: 0.0157 + Training Accuracy: 0.9940 + Validation Accuracy: 0.9927 + Training Loss: 0.0178 + Validation Loss: 0.0211 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9962 - Validation Accuracy: 0.9970 - Training Loss: 0.0138 - Validation Loss: 0.0129 + Training Accuracy: 0.9951 + Validation Accuracy: 0.9941 + Training Loss: 0.0150 + Validation Loss: 0.0165 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9963 - Validation Accuracy: 0.9964 - Training Loss: 0.0123 - Validation Loss: 0.0127 + Training Accuracy: 0.9955 + Validation Accuracy: 0.9917 + Training Loss: 0.0140 + Validation Loss: 0.0228 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9971 - Validation Accuracy: 0.9964 - Training Loss: 0.0097 - Validation Loss: 0.0120 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9943 + Training Loss: 0.0119 + Validation Loss: 0.0152 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9971 - Validation Accuracy: 0.9966 - Training Loss: 0.0089 - Validation Loss: 0.0113 + Training Accuracy: 0.9966 + Validation Accuracy: 0.9938 + Training Loss: 0.0108 + Validation Loss: 0.0159 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9972 - Training Loss: 0.0081 - Validation Loss: 0.0100 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9940 + Training Loss: 0.0102 + Validation Loss: 0.0173 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9978 - Training Loss: 0.0077 - Validation Loss: 0.0084 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9957 + Training Loss: 0.0092 + Validation Loss: 0.0122 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9974 - Training Loss: 0.0066 - Validation Loss: 0.0085 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9942 + Training Loss: 0.0086 + Validation Loss: 0.0153 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9964 - Training Loss: 0.0064 - Validation Loss: 0.0088 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9945 + Training Loss: 0.0083 + Validation Loss: 0.0140 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9956 - Training Loss: 0.0050 - Validation Loss: 0.0101 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9969 + Training Loss: 0.0068 + Validation Loss: 0.0086 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9976 - Training Loss: 0.0051 - Validation Loss: 0.0066 + Training Accuracy: 0.9976 + Validation Accuracy: 0.9967 + Training Loss: 0.0072 + Validation Loss: 0.0100 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9972 - Training Loss: 0.0057 - Validation Loss: 0.0076 + Training Accuracy: 0.9975 + Validation Accuracy: 0.9944 + Training Loss: 0.0068 + Validation Loss: 0.0162 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9962 - Training Loss: 0.0047 - Validation Loss: 0.0087 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9956 + Training Loss: 0.0064 + Validation Loss: 0.0114 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9962 - Training Loss: 0.0056 - Validation Loss: 0.0097 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9957 + Training Loss: 0.0061 + Validation Loss: 0.0117 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9974 - Training Loss: 0.0040 - Validation Loss: 0.0066 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9972 + Training Loss: 0.0054 + Validation Loss: 0.0078 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9972 - Training Loss: 0.0044 - Validation Loss: 0.0060 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9948 + Training Loss: 0.0052 + Validation Loss: 0.0143 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9966 - Training Loss: 0.0043 - Validation Loss: 0.0104 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9968 + Training Loss: 0.0057 + Validation Loss: 0.0081 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9962 - Training Loss: 0.0038 - Validation Loss: 0.0143 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9941 + Training Loss: 0.0046 + Validation Loss: 0.0170 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9970 - Training Loss: 0.0034 - Validation Loss: 0.0064 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9962 + Training Loss: 0.0047 + Validation Loss: 0.0098 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9970 - Training Loss: 0.0030 - Validation Loss: 0.0067 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9952 + Training Loss: 0.0051 + Validation Loss: 0.0120 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9956 - Training Loss: 0.0037 - Validation Loss: 0.0130 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9955 + Training Loss: 0.0044 + Validation Loss: 0.0108 -------------------------------------------------- Epoch 25 Training Accuracy: 0.9989 - Validation Accuracy: 0.9976 - Training Loss: 0.0031 - Validation Loss: 0.0066 + Validation Accuracy: 0.9977 + Training Loss: 0.0037 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9968 - Training Loss: 0.0028 - Validation Loss: 0.0091 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9947 + Training Loss: 0.0037 + Validation Loss: 0.0137 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9970 - Training Loss: 0.0029 - Validation Loss: 0.0064 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9963 + Training Loss: 0.0038 + Validation Loss: 0.0098 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9978 - Training Loss: 0.0033 - Validation Loss: 0.0064 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9966 + Training Loss: 0.0039 + Validation Loss: 0.0090 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9978 - Training Loss: 0.0021 - Validation Loss: 0.0058 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9968 + Training Loss: 0.0035 + Validation Loss: 0.0080 -------------------------------------------------- Epoch 30 Training Accuracy: 0.9991 - Validation Accuracy: 0.9972 - Training Loss: 0.0027 - Validation Loss: 0.0070 + Validation Accuracy: 0.9949 + Training Loss: 0.0030 + Validation Loss: 0.0128 -------------------------------------------------- diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/BINARY_NASNetMobile_Round5.keras b/NASNetMobile/BINARY_NASNetMobile_Round5/BINARY_NASNetMobile_Round5.keras index 1827086a7472527e7a2afaefc7db06fac7cf123e..286faade14330867f632e09abf809cd99efc833f 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round5/BINARY_NASNetMobile_Round5.keras +++ b/NASNetMobile/BINARY_NASNetMobile_Round5/BINARY_NASNetMobile_Round5.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:97d70e8530971b64b9aeea7b71543c720cb1572608a223036a77bcf110ae0621 -size 23074075 +oid sha256:673a6d7724cc447a033a80e0b32c3b8e571ec0dcb6af62aab89686406dd8fbae +size 23087054 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/classification_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round5/classification_metrics.txt index a0770cb5e9f58934423687e79edac1eb0c74e739..5fc588c61bf0f9453de7884346eb27e3668fb3e1 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round5/classification_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round5/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9968 -Recall: 0.9992 -Sensitivity: 0.9992 -Specificity: 0.9967 -F1-Score: 0.9980 +Precision: 0.9984 +Recall: 0.9954 +Sensitivity: 0.9954 +Specificity: 0.9985 +F1-Score: 0.9969 AUC: 1.0000 -MCC: 0.9960 -Cohen's Kappa: 0.9960 -Balanced Accuracy: 0.9980 -Jaccard Index: 0.9961 -Log Loss: 0.0076 -F0.5-Score: 0.9973 +MCC: 0.9938 +Cohen's Kappa: 0.9938 +Balanced Accuracy: 0.9969 +Jaccard Index: 0.9938 +Log Loss: 0.0094 +F0.5-Score: 0.9978 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/confusion_matrix.png b/NASNetMobile/BINARY_NASNetMobile_Round5/confusion_matrix.png index 0c053c9b71da10e24dec968e79dfdb2d8a7cc05e..a79d61adc219915b7e59d2cd0fb3355840f24c14 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round5/confusion_matrix.png and b/NASNetMobile/BINARY_NASNetMobile_Round5/confusion_matrix.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/roc_curve.png b/NASNetMobile/BINARY_NASNetMobile_Round5/roc_curve.png index ab79a0ff182c059fd469edf006bccbc1b17f4dc7..6523a0590519d32415e6c3368b46f2ab7113b54c 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round5/roc_curve.png and b/NASNetMobile/BINARY_NASNetMobile_Round5/roc_curve.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/testing_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round5/testing_metrics.txt index c58ad7ba27bfa4878b71a8d5f9b130697fe5a2da..eb77d8937a2abb668d430bbd05eba5981b06aa49 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round5/testing_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9980 -auc: 1.0000 -loss: 0.0076 +accuracy: 0.9969 +auc: 0.9996 +loss: 0.0094 diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/training_accuracy.png b/NASNetMobile/BINARY_NASNetMobile_Round5/training_accuracy.png index a3ffeb48a6402314962878f9448881e022234a8f..a339b8ed6ee63b117d11b1df63c99f124c398f1a 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round5/training_accuracy.png and b/NASNetMobile/BINARY_NASNetMobile_Round5/training_accuracy.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/training_loss.png b/NASNetMobile/BINARY_NASNetMobile_Round5/training_loss.png index a9977a9b1ea3c923286d3ab51c8880e263a548fa..b2e640c8e53d7b14188e935df1eb67aed1c63fbc 100644 Binary files a/NASNetMobile/BINARY_NASNetMobile_Round5/training_loss.png and b/NASNetMobile/BINARY_NASNetMobile_Round5/training_loss.png differ diff --git a/NASNetMobile/BINARY_NASNetMobile_Round5/training_validation_metrics.txt b/NASNetMobile/BINARY_NASNetMobile_Round5/training_validation_metrics.txt index e3b0e6fb98cfbbc05ffca180e67afd35e621a7ca..e30497835dccbfd86822d35779bc1a3cd882d389 100644 --- a/NASNetMobile/BINARY_NASNetMobile_Round5/training_validation_metrics.txt +++ b/NASNetMobile/BINARY_NASNetMobile_Round5/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9560 - Validation Accuracy: 0.9896 - Training Loss: 0.1336 - Validation Loss: 0.0447 + Training Accuracy: 0.9662 + Validation Accuracy: 0.9844 + Training Loss: 0.1040 + Validation Loss: 0.0452 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9897 - Validation Accuracy: 0.9954 - Training Loss: 0.0352 - Validation Loss: 0.0240 + Training Accuracy: 0.9901 + Validation Accuracy: 0.9896 + Training Loss: 0.0322 + Validation Loss: 0.0288 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9932 - Validation Accuracy: 0.9960 - Training Loss: 0.0231 - Validation Loss: 0.0192 + Training Accuracy: 0.9929 + Validation Accuracy: 0.9922 + Training Loss: 0.0229 + Validation Loss: 0.0221 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9950 - Validation Accuracy: 0.9962 - Training Loss: 0.0173 - Validation Loss: 0.0150 + Training Accuracy: 0.9938 + Validation Accuracy: 0.9919 + Training Loss: 0.0193 + Validation Loss: 0.0223 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9960 - Validation Accuracy: 0.9958 - Training Loss: 0.0138 - Validation Loss: 0.0141 + Training Accuracy: 0.9947 + Validation Accuracy: 0.9915 + Training Loss: 0.0155 + Validation Loss: 0.0221 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9966 - Validation Accuracy: 0.9970 - Training Loss: 0.0113 - Validation Loss: 0.0117 + Training Accuracy: 0.9958 + Validation Accuracy: 0.9920 + Training Loss: 0.0133 + Validation Loss: 0.0215 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9964 - Validation Accuracy: 0.9974 - Training Loss: 0.0097 - Validation Loss: 0.0102 + Training Accuracy: 0.9960 + Validation Accuracy: 0.9930 + Training Loss: 0.0122 + Validation Loss: 0.0180 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9974 - Validation Accuracy: 0.9970 - Training Loss: 0.0094 - Validation Loss: 0.0101 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9935 + Training Loss: 0.0112 + Validation Loss: 0.0171 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9975 - Validation Accuracy: 0.9974 - Training Loss: 0.0077 - Validation Loss: 0.0092 + Training Accuracy: 0.9965 + Validation Accuracy: 0.9940 + Training Loss: 0.0101 + Validation Loss: 0.0169 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9964 - Training Loss: 0.0079 - Validation Loss: 0.0092 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9943 + Training Loss: 0.0097 + Validation Loss: 0.0154 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9964 - Training Loss: 0.0066 - Validation Loss: 0.0114 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9957 + Training Loss: 0.0089 + Validation Loss: 0.0111 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9970 - Training Loss: 0.0054 - Validation Loss: 0.0080 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9955 + Training Loss: 0.0075 + Validation Loss: 0.0114 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9970 - Training Loss: 0.0059 - Validation Loss: 0.0075 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9957 + Training Loss: 0.0073 + Validation Loss: 0.0106 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9966 - Training Loss: 0.0053 - Validation Loss: 0.0072 + Training Accuracy: 0.9976 + Validation Accuracy: 0.9956 + Training Loss: 0.0075 + Validation Loss: 0.0102 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9974 - Training Loss: 0.0045 - Validation Loss: 0.0062 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9948 + Training Loss: 0.0065 + Validation Loss: 0.0135 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9968 - Training Loss: 0.0055 - Validation Loss: 0.0076 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9955 + Training Loss: 0.0060 + Validation Loss: 0.0106 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9972 - Training Loss: 0.0046 - Validation Loss: 0.0074 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9956 + Training Loss: 0.0063 + Validation Loss: 0.0114 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9976 - Training Loss: 0.0048 - Validation Loss: 0.0060 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9955 + Training Loss: 0.0055 + Validation Loss: 0.0122 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9974 - Training Loss: 0.0044 - Validation Loss: 0.0066 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9966 + Training Loss: 0.0051 + Validation Loss: 0.0097 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9974 - Training Loss: 0.0039 - Validation Loss: 0.0064 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9957 + Training Loss: 0.0054 + Validation Loss: 0.0098 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9970 - Training Loss: 0.0035 - Validation Loss: 0.0064 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9967 + Training Loss: 0.0047 + Validation Loss: 0.0083 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9978 - Training Loss: 0.0029 - Validation Loss: 0.0059 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9972 + Training Loss: 0.0044 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9976 - Training Loss: 0.0034 - Validation Loss: 0.0057 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9956 + Training Loss: 0.0039 + Validation Loss: 0.0107 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9972 - Training Loss: 0.0035 - Validation Loss: 0.0062 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9956 + Training Loss: 0.0052 + Validation Loss: 0.0112 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9976 - Training Loss: 0.0032 - Validation Loss: 0.0056 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9965 + Training Loss: 0.0042 + Validation Loss: 0.0086 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9974 - Training Loss: 0.0027 - Validation Loss: 0.0059 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9980 + Training Loss: 0.0035 + Validation Loss: 0.0066 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9976 - Training Loss: 0.0025 - Validation Loss: 0.0054 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9969 + Training Loss: 0.0038 + Validation Loss: 0.0077 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9976 - Training Loss: 0.0028 - Validation Loss: 0.0054 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9963 + Training Loss: 0.0042 + Validation Loss: 0.0084 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9982 - Training Loss: 0.0027 - Validation Loss: 0.0048 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9963 + Training Loss: 0.0032 + Validation Loss: 0.0101 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9976 - Training Loss: 0.0025 - Validation Loss: 0.0055 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9971 + Training Loss: 0.0037 + Validation Loss: 0.0071 --------------------------------------------------