diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/HELMINTHS_BINARY_DenseNet169_Round1.keras b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/HELMINTHS_BINARY_DenseNet169_Round1.keras index b43dbf14aa6a3f9cee34ca6ca58f34c6dc4d3810..3e32c17405f5d6d0d0395821c33d41e86206a3aa 100644 --- a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/HELMINTHS_BINARY_DenseNet169_Round1.keras +++ b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/HELMINTHS_BINARY_DenseNet169_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:a1aa3ed68be4fc4e555b027301adddbce410bc2f87ca7cf698df4cd2ee4a810a +oid sha256:cfe5c29d8ec1e95f220e0b4a67b286642da64ee2033d07223ebf893e422e58ca size 57791210 diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/confusion_matrix.png b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/confusion_matrix.png index 5ee5f4746147f297fad951ad75e491b2309c48fc..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 100644 Binary files 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a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt index df249a66b17701188d5020741dd7472c61421c3d..86c355f4189c3390b5a88c233a9645cfe8643c13 100644 --- a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt +++ b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt @@ -1,172 +1,172 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9832 - Validation Accuracy: 0.9928 - Training Loss: 0.0548 - Validation Loss: 0.0193 + Training Accuracy: 0.9870 + Validation Accuracy: 0.9992 + Training Loss: 0.0410 + Validation Loss: 0.0051 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9968 - Validation Accuracy: 0.9980 - Training Loss: 0.0111 - Validation Loss: 0.0066 + Training Accuracy: 0.9994 + Validation Accuracy: 1.0000 + Training Loss: 0.0046 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9997 - Training Loss: 0.0061 - Validation Loss: 0.0034 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0019 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9997 - Training Loss: 0.0038 - Validation Loss: 0.0020 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0011 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9997 - Training Loss: 0.0024 - Validation Loss: 0.0013 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0008 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9995 + Training Accuracy: 0.9998 Validation Accuracy: 1.0000 - Training Loss: 0.0022 - Validation Loss: 0.0010 + Training Loss: 0.0008 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9997 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0015 - Validation Loss: 0.0008 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9997 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0012 - Validation Loss: 0.0006 + Training Loss: 0.0004 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9997 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0009 - Validation Loss: 0.0004 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0008 - Validation Loss: 0.0004 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0003 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 12 Training Accuracy: 0.9998 Validation Accuracy: 1.0000 - Training Loss: 0.0007 - Validation Loss: 0.0003 + Training Loss: 0.0005 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0004 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 14 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9998 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0002 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 16 Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0002 + Training Loss: 0.0003 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 17 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 26 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/HELMINTHS_BINARY_DenseNet169_Round2.keras b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/HELMINTHS_BINARY_DenseNet169_Round2.keras index 20d109b351cf319fb8b4e2bd782e1d61b01e5aa3..c25b3a04e5f4c6536850b32779ada708fccb57a5 100644 --- a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/HELMINTHS_BINARY_DenseNet169_Round2.keras +++ b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/HELMINTHS_BINARY_DenseNet169_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:71bc3d52ccfd9c55ef89fe0db700c976055ed2f87e156b0a9abd6a6a82fff289 +oid sha256:b1b53fe4e7467ac9bc39f94d34cb2ed32baeb9ec5f66de29df6b32dce7485112 size 57791210 diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/classification_metrics.txt b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/classification_metrics.txt index 350d6367134da940f74c2336886145abfab95869..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/classification_metrics.txt +++ b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 1.0000 Cohen's Kappa: 1.0000 Balanced Accuracy: 1.0000 Jaccard Index: 1.0000 -Log Loss: 0.0002 +Log Loss: 0.0000 F0.5-Score: 1.0000 diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/confusion_matrix.png b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/confusion_matrix.png index 5ee5f4746147f297fad951ad75e491b2309c48fc..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 100644 Binary files a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/confusion_matrix.png and b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/confusion_matrix.png differ diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt index 58027bd0e6549d695cd1668205081d8ef03f512b..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt +++ b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0002 +loss: 0.0000 diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_accuracy.png b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_accuracy.png index 41b6620986c1a9afff583472a82b5900301657e7..3652329fe709f850f92121626d72dacd1537f38b 100644 Binary files a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_accuracy.png and b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_accuracy.png differ diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_loss.png b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_loss.png index 752e082b4f897f44ae6be92581212fa1e9dbb03b..4d01c110220504d310f10ca4716e95ed6416f35c 100644 Binary files a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_loss.png and b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_loss.png differ diff --git a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt index c73c09c308fd0c967e2378881855d7b1888678b4..5ebdb04cb0c7a30232b93e9917a7530348b6effe 100644 --- a/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt +++ b/DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9756 - Validation Accuracy: 0.9921 - Training Loss: 0.0681 - Validation Loss: 0.0263 + Training Accuracy: 0.9883 + Validation Accuracy: 0.9995 + Training Loss: 0.0362 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9965 - Validation Accuracy: 0.9967 - Training Loss: 0.0140 - Validation Loss: 0.0102 + Training Accuracy: 0.9992 + Validation Accuracy: 1.0000 + Training Loss: 0.0044 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9993 - Training Loss: 0.0080 - Validation Loss: 0.0050 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0018 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9993 - Training Loss: 0.0055 - Validation Loss: 0.0033 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0013 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9997 - Training Loss: 0.0029 - Validation Loss: 0.0020 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0006 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9993 - Training Loss: 0.0025 - Validation Loss: 0.0015 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0007 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9998 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0015 - Validation Loss: 0.0014 + Training Loss: 0.0005 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0011 - Validation Loss: 0.0009 + Training Loss: 0.0003 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9997 - Training Loss: 0.0011 - Validation Loss: 0.0009 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9997 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0009 - Validation Loss: 0.0009 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0008 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0005 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0005 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9998 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0007 - Validation Loss: 0.0008 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9998 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0007 - Validation Loss: 0.0008 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0006 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 19 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0006 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 20 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/HELMINTHS_BINARY_NASNetMobile_Round1.keras b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/HELMINTHS_BINARY_NASNetMobile_Round1.keras index 015e9b5ee27dc2e7fd369266d30452eae38216ef..59fa08dfba1297122ba768aadd94c5dbd3ca9768 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/HELMINTHS_BINARY_NASNetMobile_Round1.keras +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/HELMINTHS_BINARY_NASNetMobile_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:75f0fcbf5991b06a4987137afd8d1da7ad8d473eefc5a4951fff7667b89fb4e9 +oid sha256:7cc7025f0da8b3924bbd38f637dd0f0af27a58d3273187722a522e0573022228 size 23074075 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/classification_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/classification_metrics.txt index 5b19c19ec3565d21e29b3be0c148b0eefcc22e30..61416f250c0852ed4cb02d88fa13b3e2df5aa772 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/classification_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9806 -Sensitivity: 0.9806 +Recall: 0.9996 +Sensitivity: 0.9996 Specificity: 1.0000 -F1-Score: 0.9902 +F1-Score: 0.9998 AUC: 1.0000 -MCC: 0.9887 -Cohen's Kappa: 0.9887 -Balanced Accuracy: 0.9903 -Jaccard Index: 0.9806 -Log Loss: 0.0069 -F0.5-Score: 0.9961 +MCC: 0.9994 +Cohen's Kappa: 0.9994 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0008 +F0.5-Score: 0.9999 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/confusion_matrix.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/confusion_matrix.png index 11718e59483a9eef97e786d266552250e8fe2ad5..f5391ca8eb9b062d72e235a0224dca8704ae71d9 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/confusion_matrix.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/confusion_matrix.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/roc_curve.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/roc_curve.png index c55655b9c2535c6c1a0e97bf4ba0bac4932da300..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/roc_curve.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/roc_curve.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/testing_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/testing_metrics.txt index 4f7244b843b5d8ed3430d82834c9e08b2d250b66..41486a1d8a96d3832bd968abf282ef83fd81e0da 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/testing_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9974 +accuracy: 0.9997 auc: 1.0000 -loss: 0.0069 +loss: 0.0008 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_accuracy.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_accuracy.png index 1a577b3e960a90ea34529d1be564ad63652498ff..03faf5febbf5a9ee2046703ddae973572f941912 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_accuracy.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_accuracy.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_loss.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_loss.png index 23d18e45b34ced9fda9d201328f5cadb9a94b752..9c1b7fe913ea9ad3883b066d6288fe3fafd368f9 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_loss.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_loss.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_validation_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_validation_metrics.txt index 1492a3e655dbd67f83b034eea3f7dc954bcec7fb..b89ec4b02834f75a1b216f49d8a2194180fc50d7 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_validation_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9788 - Validation Accuracy: 0.9908 - Training Loss: 0.0738 - Validation Loss: 0.0386 + Training Accuracy: 0.9781 + Validation Accuracy: 0.9956 + Training Loss: 0.0671 + Validation Loss: 0.0196 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9931 - Validation Accuracy: 0.9921 - Training Loss: 0.0235 - Validation Loss: 0.0263 + Training Accuracy: 0.9953 + Validation Accuracy: 0.9961 + Training Loss: 0.0166 + Validation Loss: 0.0139 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9950 - Validation Accuracy: 0.9938 - Training Loss: 0.0169 - Validation Loss: 0.0200 + Training Accuracy: 0.9968 + Validation Accuracy: 0.9973 + Training Loss: 0.0108 + Validation Loss: 0.0094 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9967 - Validation Accuracy: 0.9944 - Training Loss: 0.0120 - Validation Loss: 0.0167 + Training Accuracy: 0.9979 + Validation Accuracy: 0.9981 + Training Loss: 0.0078 + Validation Loss: 0.0063 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9951 - Training Loss: 0.0091 - Validation Loss: 0.0140 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9984 + Training Loss: 0.0057 + Validation Loss: 0.0051 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9975 - Validation Accuracy: 0.9954 - Training Loss: 0.0085 - Validation Loss: 0.0126 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9975 + Training Loss: 0.0050 + Validation Loss: 0.0069 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9977 - Validation Accuracy: 0.9954 - Training Loss: 0.0081 - Validation Loss: 0.0114 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9984 + Training Loss: 0.0043 + Validation Loss: 0.0048 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9964 - Training Loss: 0.0060 - Validation Loss: 0.0109 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9976 + Training Loss: 0.0036 + Validation Loss: 0.0073 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9964 - Training Loss: 0.0055 - Validation Loss: 0.0101 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9989 + Training Loss: 0.0035 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9964 - Training Loss: 0.0055 - Validation Loss: 0.0093 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9985 + Training Loss: 0.0032 + Validation Loss: 0.0044 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9964 - Training Loss: 0.0053 - Validation Loss: 0.0086 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9989 + Training Loss: 0.0023 + Validation Loss: 0.0036 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9970 - Training Loss: 0.0051 - Validation Loss: 0.0081 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9990 + Training Loss: 0.0025 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9967 - Training Loss: 0.0044 - Validation Loss: 0.0078 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9986 + Training Loss: 0.0029 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9964 - Training Loss: 0.0037 - Validation Loss: 0.0074 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9990 + Training Loss: 0.0018 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9967 - Training Loss: 0.0035 - Validation Loss: 0.0070 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9980 + Training Loss: 0.0013 + Validation Loss: 0.0054 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9967 - Training Loss: 0.0049 - Validation Loss: 0.0077 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9985 + Training Loss: 0.0015 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9967 - Training Loss: 0.0031 - Validation Loss: 0.0069 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9991 + Training Loss: 0.0015 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9970 - Training Loss: 0.0037 - Validation Loss: 0.0077 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9991 + Training Loss: 0.0014 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9974 - Training Loss: 0.0020 - Validation Loss: 0.0068 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9986 + Training Loss: 0.0024 + Validation Loss: 0.0037 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9977 - Training Loss: 0.0029 - Validation Loss: 0.0056 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9991 + Training Loss: 0.0014 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9974 - Training Loss: 0.0025 - Validation Loss: 0.0056 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9989 + Training Loss: 0.0010 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9980 - Training Loss: 0.0025 - Validation Loss: 0.0050 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9986 + Training Loss: 0.0013 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9980 - Training Loss: 0.0033 - Validation Loss: 0.0056 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9990 + Training Loss: 0.0017 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9984 - Training Loss: 0.0020 - Validation Loss: 0.0050 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9985 + Training Loss: 0.0011 + Validation Loss: 0.0047 -------------------------------------------------- Epoch 25 Training Accuracy: 0.9996 - Validation Accuracy: 0.9980 - Training Loss: 0.0020 - Validation Loss: 0.0045 + Validation Accuracy: 0.9986 + Training Loss: 0.0011 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9984 - Training Loss: 0.0017 - Validation Loss: 0.0047 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9987 + Training Loss: 0.0012 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9980 - Training Loss: 0.0020 - Validation Loss: 0.0051 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0016 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 28 Training Accuracy: 0.9995 - Validation Accuracy: 0.9977 - Training Loss: 0.0022 - Validation Loss: 0.0062 + Validation Accuracy: 0.9990 + Training Loss: 0.0018 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9980 - Training Loss: 0.0019 - Validation Loss: 0.0052 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9990 + Training Loss: 0.0009 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9984 - Training Loss: 0.0026 - Validation Loss: 0.0047 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9992 + Training Loss: 0.0012 + Validation Loss: 0.0020 -------------------------------------------------- diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_Round2.keras b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_Round2.keras index fe9f7a656260e101d70c042c9bbe140299e09aea..5dbfec7bd4f10ad18ba3c28bfba87448e558f325 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_Round2.keras +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:4df506bb58594c0d5724eb0c490954427ce177ecefd697c01ebb046176138d98 +oid sha256:b0b60b8a07dafc4c01eff2df1fac433d7dfb832bde8fff2bd5fd981cae4e2ded size 23074075 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/classification_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/classification_metrics.txt index 0966d92a968412e006ca8dc8dfc4c25346c8d8e4..61416f250c0852ed4cb02d88fa13b3e2df5aa772 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/classification_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9951 -Recall: 0.9903 -Sensitivity: 0.9903 -Specificity: 0.9992 -F1-Score: 0.9927 -AUC: 0.9999 -MCC: 0.9916 -Cohen's Kappa: 0.9916 -Balanced Accuracy: 0.9948 -Jaccard Index: 0.9855 -Log Loss: 0.0063 -F0.5-Score: 0.9942 +Precision: 1.0000 +Recall: 0.9996 +Sensitivity: 0.9996 +Specificity: 1.0000 +F1-Score: 0.9998 +AUC: 1.0000 +MCC: 0.9994 +Cohen's Kappa: 0.9994 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0008 +F0.5-Score: 0.9999 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/confusion_matrix.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/confusion_matrix.png index 8002b4f2a49c73380ddfdebf19fa3cc4053eb6ff..f5391ca8eb9b062d72e235a0224dca8704ae71d9 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/confusion_matrix.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/confusion_matrix.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/roc_curve.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/roc_curve.png index 2f54f5e68920e74eafa7af38b577a1607c61b744..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/roc_curve.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/roc_curve.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/testing_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/testing_metrics.txt index f3498f409665e468e61596dd800cf975ed9daff0..41486a1d8a96d3832bd968abf282ef83fd81e0da 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/testing_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9980 -auc: 0.9999 -loss: 0.0063 +accuracy: 0.9997 +auc: 1.0000 +loss: 0.0008 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_accuracy.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_accuracy.png index 8702faf4c5a2540c71f7f3d9ef3eb33fb545cb7a..a905d1fb7e0f43ac3d448968ed4b83ab597bb160 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_accuracy.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_accuracy.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_loss.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_loss.png index 9f802550fef3e8f8f2ec81b31a4e25de0887be14..c498504d3184cf9190b712b98587ab5117b76e2b 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_loss.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_loss.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt index 4ecff4b13687a15ecd29de9c54e2b59dfca55a98..8dbf8ea6a548a03729d90df73d5689961f986fe7 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9737 - Validation Accuracy: 0.9898 - Training Loss: 0.0872 - Validation Loss: 0.0451 + Training Accuracy: 0.9798 + Validation Accuracy: 0.9957 + Training Loss: 0.0627 + Validation Loss: 0.0171 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9928 - Validation Accuracy: 0.9908 - Training Loss: 0.0273 - Validation Loss: 0.0304 + Training Accuracy: 0.9953 + Validation Accuracy: 0.9966 + Training Loss: 0.0155 + Validation Loss: 0.0118 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9950 - Validation Accuracy: 0.9928 - Training Loss: 0.0179 - Validation Loss: 0.0228 + Training Accuracy: 0.9970 + Validation Accuracy: 0.9982 + Training Loss: 0.0103 + Validation Loss: 0.0063 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9959 - Validation Accuracy: 0.9938 - Training Loss: 0.0140 - Validation Loss: 0.0187 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9979 + Training Loss: 0.0062 + Validation Loss: 0.0058 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9971 - Validation Accuracy: 0.9941 - Training Loss: 0.0108 - Validation Loss: 0.0163 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9972 + Training Loss: 0.0056 + Validation Loss: 0.0085 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9976 - Validation Accuracy: 0.9951 - Training Loss: 0.0096 - Validation Loss: 0.0148 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9981 + Training Loss: 0.0044 + Validation Loss: 0.0053 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9954 - Training Loss: 0.0069 - Validation Loss: 0.0128 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9984 + Training Loss: 0.0036 + Validation Loss: 0.0045 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9951 - Training Loss: 0.0076 - Validation Loss: 0.0119 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9984 + Training Loss: 0.0031 + Validation Loss: 0.0051 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9954 - Training Loss: 0.0063 - Validation Loss: 0.0111 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9989 + Training Loss: 0.0034 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9954 - Training Loss: 0.0068 - Validation Loss: 0.0102 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9985 + Training Loss: 0.0025 + Validation Loss: 0.0047 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9954 - Training Loss: 0.0056 - Validation Loss: 0.0098 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9989 + Training Loss: 0.0031 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9961 - Training Loss: 0.0035 - Validation Loss: 0.0098 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9989 + Training Loss: 0.0021 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9957 - Training Loss: 0.0043 - Validation Loss: 0.0094 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9989 + Training Loss: 0.0020 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9957 - Training Loss: 0.0038 - Validation Loss: 0.0107 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0025 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9964 - Training Loss: 0.0033 - Validation Loss: 0.0086 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9987 + Training Loss: 0.0018 + Validation Loss: 0.0044 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9964 - Training Loss: 0.0043 - Validation Loss: 0.0083 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9991 + Training Loss: 0.0019 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9964 - Training Loss: 0.0039 - Validation Loss: 0.0080 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9991 + Training Loss: 0.0019 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9967 - Training Loss: 0.0022 - Validation Loss: 0.0081 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9992 + Training Loss: 0.0019 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9961 - Training Loss: 0.0030 - Validation Loss: 0.0077 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9992 + Training Loss: 0.0013 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9961 - Training Loss: 0.0030 - Validation Loss: 0.0081 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9986 + Training Loss: 0.0018 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9967 - Training Loss: 0.0020 - Validation Loss: 0.0062 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9990 + Training Loss: 0.0017 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9964 - Training Loss: 0.0027 - Validation Loss: 0.0067 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9995 + Training Loss: 0.0010 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9977 - Training Loss: 0.0029 - Validation Loss: 0.0060 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9987 + Training Loss: 0.0015 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9984 - Training Loss: 0.0035 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9981 + Training Loss: 0.0016 Validation Loss: 0.0047 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9974 - Training Loss: 0.0037 - Validation Loss: 0.0061 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9992 + Training Loss: 0.0013 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9980 - Training Loss: 0.0023 - Validation Loss: 0.0053 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0008 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 27 Training Accuracy: 0.9995 - Validation Accuracy: 0.9980 - Training Loss: 0.0016 - Validation Loss: 0.0057 + Validation Accuracy: 0.9994 + Training Loss: 0.0013 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9977 - Training Loss: 0.0020 - Validation Loss: 0.0045 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9989 + Training Loss: 0.0013 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9977 - Training Loss: 0.0023 - Validation Loss: 0.0052 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0014 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9977 - Training Loss: 0.0014 - Validation Loss: 0.0043 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9992 + Training Loss: 0.0017 + Validation Loss: 0.0017 -------------------------------------------------- diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras index 0d99d167723584bcac8f36d117892796917eeb7f..c79fdf483e1c31b56ad0c41c0ac5c0e648d6b745 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b4e7c6d52bb1a923f67b0d97dd68f8798b95f87a3a8f5f10b260ca51582a8045 +oid sha256:44aaaf4fa0f0dec539bdfeae01a52299fdf634c87f8119bc2ea8181b139689dd size 23074075 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/classification_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/classification_metrics.txt index 1d2ea82a3bafe808e37203f3df4adb197751de1d..2871153f47e6d455b3e012f81165ec3da0d01106 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/classification_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9951 -Recall: 0.9951 -Sensitivity: 0.9951 -Specificity: 0.9992 -F1-Score: 0.9951 +Precision: 1.0000 +Recall: 0.9996 +Sensitivity: 0.9996 +Specificity: 1.0000 +F1-Score: 0.9998 AUC: 1.0000 -MCC: 0.9944 -Cohen's Kappa: 0.9944 -Balanced Accuracy: 0.9972 -Jaccard Index: 0.9903 -Log Loss: 0.0065 -F0.5-Score: 0.9951 +MCC: 0.9994 +Cohen's Kappa: 0.9994 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0015 +F0.5-Score: 0.9999 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/confusion_matrix.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/confusion_matrix.png index eda291d251c60344e195054584ef050af88c95fb..f5391ca8eb9b062d72e235a0224dca8704ae71d9 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/confusion_matrix.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/confusion_matrix.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/roc_curve.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/roc_curve.png index 083ea3f99a13513bf5eb4862b70bd26e941f8bef..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/roc_curve.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/roc_curve.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/testing_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/testing_metrics.txt index a3c68b3c0b57e01164a8348dceadb4e1a86eebef..58aeb8f6eaee30265cc489c8e6682bd0c0435121 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/testing_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9987 +accuracy: 0.9997 auc: 1.0000 -loss: 0.0065 +loss: 0.0015 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_accuracy.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_accuracy.png index 0b0487e82da3e368bbbfbf7faa8c1abaf4150179..dfb467cc44008bda30ff91654bf128ab07fb87ee 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_accuracy.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_accuracy.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_loss.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_loss.png index 93bff7916a3b720243694d30ed558e607e31b366..ce2b36d87b4e6c50b7e52f157ace8ba22151d471 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_loss.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_loss.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt index 0919b323c6617063905a7c4339234425f7d26b34..546915735d98b20c777c35a121c05d29e688725c 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9777 - Validation Accuracy: 0.9892 - Training Loss: 0.0765 - Validation Loss: 0.0452 + Training Accuracy: 0.9762 + Validation Accuracy: 0.9952 + Training Loss: 0.0684 + Validation Loss: 0.0204 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9932 - Validation Accuracy: 0.9921 - Training Loss: 0.0245 - Validation Loss: 0.0281 + Training Accuracy: 0.9957 + Validation Accuracy: 0.9970 + Training Loss: 0.0157 + Validation Loss: 0.0115 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9955 - Validation Accuracy: 0.9921 - Training Loss: 0.0158 - Validation Loss: 0.0233 + Training Accuracy: 0.9971 + Validation Accuracy: 0.9972 + Training Loss: 0.0100 + Validation Loss: 0.0093 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9965 - Validation Accuracy: 0.9934 - Training Loss: 0.0122 - Validation Loss: 0.0195 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9979 + Training Loss: 0.0073 + Validation Loss: 0.0066 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9963 - Validation Accuracy: 0.9941 - Training Loss: 0.0107 - Validation Loss: 0.0157 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9982 + Training Loss: 0.0060 + Validation Loss: 0.0054 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9948 - Training Loss: 0.0090 - Validation Loss: 0.0141 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9970 + Training Loss: 0.0045 + Validation Loss: 0.0098 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9957 - Training Loss: 0.0078 - Validation Loss: 0.0126 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9984 + Training Loss: 0.0041 + Validation Loss: 0.0046 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9961 - Training Loss: 0.0068 - Validation Loss: 0.0119 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9975 + Training Loss: 0.0029 + Validation Loss: 0.0075 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9957 - Training Loss: 0.0066 - Validation Loss: 0.0114 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9971 + Training Loss: 0.0038 + Validation Loss: 0.0081 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9957 - Training Loss: 0.0054 - Validation Loss: 0.0107 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9991 + Training Loss: 0.0030 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9964 - Training Loss: 0.0048 - Validation Loss: 0.0097 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9992 + Training Loss: 0.0029 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9967 - Training Loss: 0.0067 - Validation Loss: 0.0082 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9985 + Training Loss: 0.0030 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9967 - Training Loss: 0.0043 - Validation Loss: 0.0083 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9971 + Training Loss: 0.0019 + Validation Loss: 0.0077 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9970 - Training Loss: 0.0042 - Validation Loss: 0.0082 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9982 + Training Loss: 0.0014 + Validation Loss: 0.0048 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9980 - Training Loss: 0.0051 - Validation Loss: 0.0067 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9992 + Training Loss: 0.0023 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 16 Training Accuracy: 0.9993 - Validation Accuracy: 0.9977 - Training Loss: 0.0033 - Validation Loss: 0.0079 + Validation Accuracy: 0.9987 + Training Loss: 0.0018 + Validation Loss: 0.0038 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9970 - Training Loss: 0.0022 - Validation Loss: 0.0086 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9989 + Training Loss: 0.0017 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9974 - Training Loss: 0.0031 - Validation Loss: 0.0063 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9985 + Training Loss: 0.0021 + Validation Loss: 0.0044 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9977 - Training Loss: 0.0027 - Validation Loss: 0.0061 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9984 + Training Loss: 0.0020 + Validation Loss: 0.0049 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9980 - Training Loss: 0.0026 - Validation Loss: 0.0070 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9986 + Training Loss: 0.0016 + Validation Loss: 0.0036 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9974 - Training Loss: 0.0031 - Validation Loss: 0.0062 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9987 + Training Loss: 0.0017 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9977 - Training Loss: 0.0025 - Validation Loss: 0.0055 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9991 + Training Loss: 0.0015 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9980 - Training Loss: 0.0019 - Validation Loss: 0.0063 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9987 + Training Loss: 0.0011 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9980 - Training Loss: 0.0031 - Validation Loss: 0.0061 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9985 + Training Loss: 0.0010 + Validation Loss: 0.0049 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9984 - Training Loss: 0.0025 - Validation Loss: 0.0050 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9991 + Training Loss: 0.0014 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9984 - Training Loss: 0.0024 - Validation Loss: 0.0048 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9989 + Training Loss: 0.0014 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 27 Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0014 - Validation Loss: 0.0041 + Validation Accuracy: 0.9987 + Training Loss: 0.0009 + Validation Loss: 0.0036 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9980 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9992 Training Loss: 0.0020 - Validation Loss: 0.0054 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9970 - Training Loss: 0.0011 - Validation Loss: 0.0072 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9977 + Training Loss: 0.0014 + Validation Loss: 0.0071 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9993 + Training Accuracy: 0.9997 Validation Accuracy: 0.9984 - Training Loss: 0.0020 + Training Loss: 0.0010 Validation Loss: 0.0043 -------------------------------------------------- diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras index da51ce23a09f80a6a93f2d73173352901146ac55..853f709d2f1d5c120f8ffe577a23a1e6f23a6dff 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:ae98585eb72dda101078bd0ec7469d88ba0215be03bfbd21ac0867c50099c87d +oid sha256:f131b8be26de12360753ccf082e7818fb7f7877d533e6bbb4865ac0cee42e05c size 23074075 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/classification_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/classification_metrics.txt index bdb0787b325a7a33a674abf390971fa96d959663..87b1f377951749a4e21b6919daa62cdddd6f49e7 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/classification_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9855 -Recall: 0.9903 -Sensitivity: 0.9903 -Specificity: 0.9977 -F1-Score: 0.9879 -AUC: 0.9999 -MCC: 0.9860 -Cohen's Kappa: 0.9860 -Balanced Accuracy: 0.9940 -Jaccard Index: 0.9761 -Log Loss: 0.0079 -F0.5-Score: 0.9865 +Precision: 1.0000 +Recall: 0.9996 +Sensitivity: 0.9996 +Specificity: 1.0000 +F1-Score: 0.9998 +AUC: 1.0000 +MCC: 0.9994 +Cohen's Kappa: 0.9994 +Balanced Accuracy: 0.9998 +Jaccard Index: 0.9996 +Log Loss: 0.0005 +F0.5-Score: 0.9999 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/confusion_matrix.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/confusion_matrix.png index 1e76b85a1983465566e3d20b5984c35b008c828b..f5391ca8eb9b062d72e235a0224dca8704ae71d9 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/confusion_matrix.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/confusion_matrix.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/roc_curve.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/roc_curve.png index 7862d2a717f172e9a85a77808f3a38cfca9686fa..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/roc_curve.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/roc_curve.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/testing_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/testing_metrics.txt index f7c8d6b23444029331828f2016d2adbd0227f709..8748e2d52eeff9930135fad2a7238415df392bec 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/testing_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9967 -auc: 0.9999 -loss: 0.0079 +accuracy: 0.9997 +auc: 1.0000 +loss: 0.0005 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_accuracy.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_accuracy.png index 5eab9dc25a17b7ad63111d3c255f70c19cf00000..a692ffd6f7d991132e4a9b42e3ea215884bbff5c 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_accuracy.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_accuracy.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_loss.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_loss.png index 2cbd64ec279084f3c299381189b5726fed8cfb27..98e5dc2337518ddc1a97f8a9a0a0ed32ff19f26e 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_loss.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_loss.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_validation_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_validation_metrics.txt index 0779837c3290753a60608d84c8d82abf7e85581e..2c5e296fb0d42d5594a9395ec4b52e1dc386ece2 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_validation_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9750 - Validation Accuracy: 0.9902 - Training Loss: 0.0787 - Validation Loss: 0.0420 + Training Accuracy: 0.9773 + Validation Accuracy: 0.9963 + Training Loss: 0.0663 + Validation Loss: 0.0165 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9941 - Validation Accuracy: 0.9918 - Training Loss: 0.0233 - Validation Loss: 0.0279 + Training Accuracy: 0.9952 + Validation Accuracy: 0.9975 + Training Loss: 0.0167 + Validation Loss: 0.0100 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9949 - Validation Accuracy: 0.9928 - Training Loss: 0.0174 - Validation Loss: 0.0221 + Training Accuracy: 0.9972 + Validation Accuracy: 0.9982 + Training Loss: 0.0100 + Validation Loss: 0.0063 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9968 - Validation Accuracy: 0.9948 - Training Loss: 0.0119 - Validation Loss: 0.0171 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9981 + Training Loss: 0.0066 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9964 - Validation Accuracy: 0.9948 - Training Loss: 0.0095 - Validation Loss: 0.0154 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9979 + Training Loss: 0.0060 + Validation Loss: 0.0058 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9976 - Validation Accuracy: 0.9954 - Training Loss: 0.0085 - Validation Loss: 0.0131 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9985 + Training Loss: 0.0044 + Validation Loss: 0.0043 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9971 - Validation Accuracy: 0.9957 - Training Loss: 0.0077 - Validation Loss: 0.0119 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9982 + Training Loss: 0.0038 + Validation Loss: 0.0053 -------------------------------------------------- Epoch 8 Training Accuracy: 0.9987 - Validation Accuracy: 0.9954 - Training Loss: 0.0053 - Validation Loss: 0.0111 + Validation Accuracy: 0.9990 + Training Loss: 0.0038 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9980 - Validation Accuracy: 0.9967 - Training Loss: 0.0060 - Validation Loss: 0.0110 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9987 + Training Loss: 0.0034 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9984 - Validation Accuracy: 0.9957 - Training Loss: 0.0050 - Validation Loss: 0.0093 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9990 + Training Loss: 0.0028 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9961 - Training Loss: 0.0041 - Validation Loss: 0.0097 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9990 + Training Loss: 0.0032 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9964 - Training Loss: 0.0051 - Validation Loss: 0.0085 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9994 + Training Loss: 0.0022 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9964 - Training Loss: 0.0040 - Validation Loss: 0.0077 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9990 + Training Loss: 0.0027 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9970 - Training Loss: 0.0043 - Validation Loss: 0.0069 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9994 + Training Loss: 0.0025 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9970 - Training Loss: 0.0036 - Validation Loss: 0.0068 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9994 + Training Loss: 0.0018 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9967 - Training Loss: 0.0040 - Validation Loss: 0.0066 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9992 + Training Loss: 0.0022 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 17 Training Accuracy: 0.9992 - Validation Accuracy: 0.9967 - Training Loss: 0.0031 - Validation Loss: 0.0061 + Validation Accuracy: 0.9966 + Training Loss: 0.0022 + Validation Loss: 0.0096 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9967 - Training Loss: 0.0029 - Validation Loss: 0.0064 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0018 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9967 - Training Loss: 0.0028 - Validation Loss: 0.0068 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9992 + Training Loss: 0.0014 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 20 Training Accuracy: 0.9994 - Validation Accuracy: 0.9970 - Training Loss: 0.0020 - Validation Loss: 0.0062 + Validation Accuracy: 0.9987 + Training Loss: 0.0017 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9974 - Training Loss: 0.0027 - Validation Loss: 0.0064 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9992 + Training Loss: 0.0012 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9974 - Training Loss: 0.0024 - Validation Loss: 0.0057 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9991 + Training Loss: 0.0015 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9977 - Training Loss: 0.0043 - Validation Loss: 0.0053 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9994 + Training Loss: 0.0014 + Validation Loss: 0.0027 -------------------------------------------------- Epoch 24 Training Accuracy: 0.9996 - Validation Accuracy: 0.9977 - Training Loss: 0.0019 - Validation Loss: 0.0056 + Validation Accuracy: 0.9994 + Training Loss: 0.0011 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9977 - Training Loss: 0.0019 - Validation Loss: 0.0056 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9982 + Training Loss: 0.0009 + Validation Loss: 0.0051 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9977 - Training Loss: 0.0015 - Validation Loss: 0.0058 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9987 + Training Loss: 0.0009 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9977 - Training Loss: 0.0022 - Validation Loss: 0.0053 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9995 + Training Loss: 0.0013 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 28 Training Accuracy: 0.9996 - Validation Accuracy: 0.9980 - Training Loss: 0.0020 - Validation Loss: 0.0049 + Validation Accuracy: 0.9990 + Training Loss: 0.0012 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9964 - Training Loss: 0.0015 - Validation Loss: 0.0067 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0007 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9980 - Training Loss: 0.0025 - Validation Loss: 0.0055 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0013 -------------------------------------------------- diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras index 78c07da51b984e4372cc6ac8d11292a4a0a2a2ab..15a81a888344dc9fd4a71e4fee2c11b3f03da5a6 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:d608931bb95a87f2f7c383951a1033257a798e28ee129121bb945716e53e8ddc +oid sha256:53d02e6ee7e0370b123cb9ac4be74f7c829688a124de411d8f78d99ab541edba size 23074075 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/classification_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/classification_metrics.txt index 30a546efe598d70c34f856e68d0a6736268599de..9de8a8405a5de36600afca32dca737c7ceb7d34e 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/classification_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 0.9855 -Recall: 0.9903 -Sensitivity: 0.9903 -Specificity: 0.9977 -F1-Score: 0.9879 -AUC: 0.9999 -MCC: 0.9860 -Cohen's Kappa: 0.9860 -Balanced Accuracy: 0.9940 -Jaccard Index: 0.9761 -Log Loss: 0.0080 -F0.5-Score: 0.9865 +Precision: 1.0000 +Recall: 0.9989 +Sensitivity: 0.9989 +Specificity: 1.0000 +F1-Score: 0.9994 +AUC: 1.0000 +MCC: 0.9983 +Cohen's Kappa: 0.9983 +Balanced Accuracy: 0.9994 +Jaccard Index: 0.9989 +Log Loss: 0.0018 +F0.5-Score: 0.9998 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/confusion_matrix.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/confusion_matrix.png index 1e76b85a1983465566e3d20b5984c35b008c828b..7815fedd072bce2088bb789ff50fc9e9acf112ac 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/confusion_matrix.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/confusion_matrix.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/roc_curve.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/roc_curve.png index bf16f04a68c634973223661cae3fb2cfb33c8627..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/roc_curve.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/roc_curve.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/testing_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/testing_metrics.txt index 7c5f5c198791b6c2ff5a165d674e7384f6f19ba1..c2e03aa5eb3c94514f38e14caa50e20bda9c6f6c 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/testing_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9967 -auc: 0.9999 -loss: 0.0080 +accuracy: 0.9992 +auc: 1.0000 +loss: 0.0018 diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_accuracy.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_accuracy.png index 70f86b90405a7e4e43d3abf6af0ec70b36b87982..f9e3721e94cc3071736d25c76670232c0072a049 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_accuracy.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_accuracy.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_loss.png b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_loss.png index c0204a433fae152dfd953e02b13be6a46b506da5..b375b7453214d20d05ba5b315c51cfdbf4cd9ef7 100644 Binary files a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_loss.png and b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_loss.png differ diff --git a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_validation_metrics.txt b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_validation_metrics.txt index ea6db9b54b29b74eb4bde70ea9d84bf5d2160ea0..9665c4f2b8c9b0b10728cb0e1d42e374408e704d 100644 --- a/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_validation_metrics.txt +++ b/NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9698 - Validation Accuracy: 0.9889 - Training Loss: 0.0935 - Validation Loss: 0.0480 + Training Accuracy: 0.9751 + Validation Accuracy: 0.9944 + Training Loss: 0.0704 + Validation Loss: 0.0236 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9931 - Validation Accuracy: 0.9902 - Training Loss: 0.0263 - Validation Loss: 0.0298 + Training Accuracy: 0.9959 + Validation Accuracy: 0.9944 + Training Loss: 0.0156 + Validation Loss: 0.0199 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9955 - Validation Accuracy: 0.9915 - Training Loss: 0.0177 - Validation Loss: 0.0239 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9966 + Training Loss: 0.0094 + Validation Loss: 0.0127 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9962 - Validation Accuracy: 0.9931 - Training Loss: 0.0130 - Validation Loss: 0.0191 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9971 + Training Loss: 0.0070 + Validation Loss: 0.0089 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9965 - Validation Accuracy: 0.9931 - Training Loss: 0.0113 - Validation Loss: 0.0177 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9979 + Training Loss: 0.0063 + Validation Loss: 0.0062 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9972 - Validation Accuracy: 0.9944 - Training Loss: 0.0103 - Validation Loss: 0.0172 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9975 + Training Loss: 0.0052 + Validation Loss: 0.0079 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9951 - Training Loss: 0.0082 - Validation Loss: 0.0139 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9980 + Training Loss: 0.0041 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9954 - Training Loss: 0.0073 - Validation Loss: 0.0147 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9976 + Training Loss: 0.0036 + Validation Loss: 0.0069 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9961 - Training Loss: 0.0068 - Validation Loss: 0.0112 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9985 + Training Loss: 0.0029 + Validation Loss: 0.0047 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9961 - Training Loss: 0.0055 - Validation Loss: 0.0105 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9970 + Training Loss: 0.0028 + Validation Loss: 0.0081 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9957 - Training Loss: 0.0050 - Validation Loss: 0.0117 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9979 + Training Loss: 0.0020 + Validation Loss: 0.0058 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9961 - Training Loss: 0.0047 - Validation Loss: 0.0098 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9970 + Training Loss: 0.0018 + Validation Loss: 0.0083 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9964 - Training Loss: 0.0029 - Validation Loss: 0.0094 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9990 + Training Loss: 0.0026 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9967 - Training Loss: 0.0042 - Validation Loss: 0.0088 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9984 + Training Loss: 0.0023 + Validation Loss: 0.0050 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9970 - Training Loss: 0.0045 - Validation Loss: 0.0077 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9991 + Training Loss: 0.0019 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9970 - Training Loss: 0.0029 - Validation Loss: 0.0079 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9992 + Training Loss: 0.0018 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9967 - Training Loss: 0.0037 - Validation Loss: 0.0080 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9976 + Training Loss: 0.0018 + Validation Loss: 0.0067 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9967 - Training Loss: 0.0026 - Validation Loss: 0.0090 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9977 + Training Loss: 0.0017 + Validation Loss: 0.0064 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9970 - Training Loss: 0.0028 - Validation Loss: 0.0070 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9992 + Training Loss: 0.0018 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9977 - Training Loss: 0.0025 - Validation Loss: 0.0063 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9990 + Training Loss: 0.0014 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9970 - Training Loss: 0.0021 - Validation Loss: 0.0072 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9992 + Training Loss: 0.0017 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9974 - Training Loss: 0.0020 - Validation Loss: 0.0073 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9985 + Training Loss: 0.0012 + Validation Loss: 0.0043 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9970 - Training Loss: 0.0035 - Validation Loss: 0.0068 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9976 + Training Loss: 0.0011 + Validation Loss: 0.0060 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9970 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9958 Training Loss: 0.0018 - Validation Loss: 0.0076 + Validation Loss: 0.0110 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9974 - Training Loss: 0.0029 - Validation Loss: 0.0075 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9982 + Training Loss: 0.0010 + Validation Loss: 0.0043 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9967 - Training Loss: 0.0022 - Validation Loss: 0.0069 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9990 + Training Loss: 0.0014 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9980 - Training Loss: 0.0015 - Validation Loss: 0.0060 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9990 + Training Loss: 0.0011 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9977 - Training Loss: 0.0011 - Validation Loss: 0.0069 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9992 + Training Loss: 0.0006 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9974 - Training Loss: 0.0024 - Validation Loss: 0.0068 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9951 + Training Loss: 0.0008 + Validation Loss: 0.0155 -------------------------------------------------- Epoch 30 Training Accuracy: 0.9997 - Validation Accuracy: 0.9977 - Training Loss: 0.0012 - Validation Loss: 0.0078 + Validation Accuracy: 0.9987 + Training Loss: 0.0007 + Validation Loss: 0.0029 --------------------------------------------------