diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/HELMINTHS_BINARY_EfficientNetB0_Round1.keras b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/HELMINTHS_BINARY_EfficientNetB0_Round1.keras index 66603c71fcb799df90309d981995999f924edfb1..327c2c999c0f041a013102b08335bdc47e1f01a2 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/HELMINTHS_BINARY_EfficientNetB0_Round1.keras +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/HELMINTHS_BINARY_EfficientNetB0_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b510692462b7d31fabd99083bf444eaa2b0c908b2964f4614db68051ed2fee6d +oid sha256:62ff82bdf9af760da00461087ba1db9d0d44c2728854c7058505fdb936bcf6fc size 20986130 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/classification_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..9ab23db9f6bf4d1d342c23c0758b7e2fc6424e8b 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/classification_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 1.0000 +Precision: 0.9992 Recall: 1.0000 Sensitivity: 1.0000 -Specificity: 1.0000 -F1-Score: 1.0000 +Specificity: 0.9992 +F1-Score: 0.9996 AUC: 1.0000 -MCC: 1.0000 -Cohen's Kappa: 1.0000 -Balanced Accuracy: 1.0000 -Jaccard Index: 1.0000 -Log Loss: 0.0000 -F0.5-Score: 1.0000 +MCC: 0.9992 +Cohen's Kappa: 0.9992 +Balanced Accuracy: 0.9996 +Jaccard Index: 0.9992 +Log Loss: 0.0007 +F0.5-Score: 0.9994 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/confusion_matrix.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..b2e80091d1feaf0eba75b310581b5ec44744669e 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/confusion_matrix.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/confusion_matrix.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/roc_curve.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/roc_curve.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/roc_curve.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/testing_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..f15c6439838cb363fa943eccae1ee1001efe81b4 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/testing_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9996 auc: 1.0000 -loss: 0.0000 +loss: 0.0007 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_accuracy.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_accuracy.png index 34cd4d455a338bce1df719b877291fa711b5bcc9..632e3179b4d26a03814468e247d5cf12ac3a1b3e 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_accuracy.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_accuracy.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_loss.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_loss.png index c80a978f0ffe0500dc4725956d371f014ae1be04..cdcecfd0e5d035f3d37e6ff9dfa7fb1f8b42e277 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_loss.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_loss.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_validation_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_validation_metrics.txt index 28afece797ed41b4114cfcc079e78347e78cf9d8..bcc174c314bbdfed254d8bd72e23a22f4735ae33 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_validation_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9870 - Validation Accuracy: 0.9996 - Training Loss: 0.0417 - Validation Loss: 0.0045 + Training Accuracy: 0.9734 + Validation Accuracy: 0.9963 + Training Loss: 0.0851 + Validation Loss: 0.0189 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9996 - Training Loss: 0.0058 - Validation Loss: 0.0021 + Training Accuracy: 0.9955 + Validation Accuracy: 0.9979 + Training Loss: 0.0184 + Validation Loss: 0.0094 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9994 - Training Loss: 0.0027 - Validation Loss: 0.0025 + Training Accuracy: 0.9976 + Validation Accuracy: 0.9985 + Training Loss: 0.0103 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0016 - Validation Loss: 0.0018 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9992 + Training Loss: 0.0080 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9997 - Validation Accuracy: 1.0000 - Training Loss: 0.0015 - Validation Loss: 0.0005 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9986 + Training Loss: 0.0053 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0010 - Validation Loss: 0.0009 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9996 + Training Loss: 0.0044 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0009 - Validation Loss: 0.0016 + Training Accuracy: 0.9990 + Validation Accuracy: 0.9990 + Training Loss: 0.0041 + Validation Loss: 0.0039 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 + Training Accuracy: 0.9993 Validation Accuracy: 0.9996 - Training Loss: 0.0007 - Validation Loss: 0.0007 + Training Loss: 0.0033 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 + Training Accuracy: 0.9991 Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0009 + Training Loss: 0.0029 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 + Training Accuracy: 0.9994 Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0007 + Training Loss: 0.0023 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9994 - Training Loss: 0.0004 - Validation Loss: 0.0018 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0024 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9998 + Training Accuracy: 0.9994 Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0010 + Training Loss: 0.0024 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0005 - Validation Loss: 0.0006 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0015 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0016 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0002 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9994 + Training Loss: 0.0016 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9995 - Training Loss: 0.0005 - Validation Loss: 0.0013 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0015 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0003 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0014 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 18 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0016 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9998 + Training Accuracy: 0.9996 Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0009 + Training Loss: 0.0012 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0004 - Validation Loss: 0.0008 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0014 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0007 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 22 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0005 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0009 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0006 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0013 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 0.9996 - Training Loss: 0.0001 - Validation Loss: 0.0010 + Training Loss: 0.0010 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0012 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9995 - Training Loss: 0.0001 - Validation Loss: 0.0016 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0007 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9998 + Training Accuracy: 0.9996 Validation Accuracy: 0.9996 - Training Loss: 0.0003 + Training Loss: 0.0012 Validation Loss: 0.0009 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0008 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 29 Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0006 + Validation Accuracy: 0.9996 + Training Loss: 0.0005 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0008 + Validation Loss: 0.0018 -------------------------------------------------- diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/HELMINTHS_BINARY_EfficientNetB0_Round2.keras b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/HELMINTHS_BINARY_EfficientNetB0_Round2.keras index 4d7c7bef2e7b3fb2ca1e93d8114869b4ac6563df..16ee57a0756ab190d950778a547c4c3822884f58 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/HELMINTHS_BINARY_EfficientNetB0_Round2.keras +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/HELMINTHS_BINARY_EfficientNetB0_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:9fb7dbd694fd5769791c4916bbb5589e082743e8cbe4836c8cf5b97909b2df74 +oid sha256:0c6cddb7b6a37697fb9f0903244595997ad95a0b94eee216debb95e02ab3f76f size 20986130 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/classification_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..7cc84a74ec03ffba7b444aad37642c2828c95cdc 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/classification_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_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: 0.0000 +Log Loss: 0.0003 F0.5-Score: 1.0000 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/confusion_matrix.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/confusion_matrix.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/confusion_matrix.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/roc_curve.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/roc_curve.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/roc_curve.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/testing_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..93b601323909cb417927e30a18e4f6c09d7fc38a 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/testing_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0000 +loss: 0.0003 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_accuracy.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_accuracy.png index 796ad451b56c607914b6bae7ebd8833fa9ebb7dc..edec247ed6a7f68b78ddf97c8c230ac5ac4b63d1 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_accuracy.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_accuracy.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_loss.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_loss.png index e9d1164336ad2105e12e8e1fe919ac41ff4248db..857ae2293f78244495b9f56c22dcb837e118ee28 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_loss.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_loss.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_validation_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_validation_metrics.txt index 47aa221c08983bd95e687415e5a3347a8d7fabec..5b8858f6aa259d604833f00885d256eb6f208460 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_validation_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9859 - Validation Accuracy: 0.9991 - Training Loss: 0.0462 - Validation Loss: 0.0062 + Training Accuracy: 0.9702 + Validation Accuracy: 0.9965 + Training Loss: 0.0894 + Validation Loss: 0.0201 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9999 - Training Loss: 0.0062 - Validation Loss: 0.0020 + Training Accuracy: 0.9962 + Validation Accuracy: 0.9977 + Training Loss: 0.0175 + Validation Loss: 0.0089 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9999 - Training Loss: 0.0033 - Validation Loss: 0.0013 + Training Accuracy: 0.9976 + Validation Accuracy: 0.9986 + Training Loss: 0.0105 + Validation Loss: 0.0056 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9996 - Validation Accuracy: 1.0000 - Training Loss: 0.0023 - Validation Loss: 0.0007 + Training Accuracy: 0.9981 + Validation Accuracy: 0.9990 + Training Loss: 0.0075 + Validation Loss: 0.0041 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0014 - Validation Loss: 0.0013 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9986 + Training Loss: 0.0053 + Validation Loss: 0.0043 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9997 - Training Loss: 0.0011 - Validation Loss: 0.0008 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9994 + Training Loss: 0.0045 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9997 - Training Loss: 0.0013 - Validation Loss: 0.0009 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9998 + Training Loss: 0.0030 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0006 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9996 + Training Loss: 0.0033 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 9 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0004 - Validation Loss: 0.0004 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9996 + Training Loss: 0.0022 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0004 - Validation Loss: 0.0008 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9994 + Training Loss: 0.0025 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0005 - Validation Loss: 0.0005 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9992 + Training Loss: 0.0021 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0004 - Validation Loss: 0.0013 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9994 + Training Loss: 0.0031 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0005 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0015 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 14 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0009 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0016 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9994 + Training Loss: 0.0018 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9991 - Training Loss: 0.0002 - Validation Loss: 0.0024 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9996 + Training Loss: 0.0015 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0007 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9994 + Training Loss: 0.0017 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0016 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0012 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9990 + Training Loss: 0.0014 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0009 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0013 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9994 + Training Loss: 0.0017 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0010 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0010 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0004 - Validation Loss: 0.0004 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0009 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0008 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0013 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 28 Training Accuracy: 0.9998 - Validation Accuracy: 0.9999 - Training Loss: 0.0004 - Validation Loss: 0.0003 + Validation Accuracy: 0.9994 + Training Loss: 0.0012 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 29 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0007 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Validation Accuracy: 0.9996 + Training Loss: 0.0005 + Validation Loss: 0.0012 -------------------------------------------------- diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/HELMINTHS_BINARY_EfficientNetB0_Round3.keras b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/HELMINTHS_BINARY_EfficientNetB0_Round3.keras index ce7e7e2e5b13f897d09b8f52a3bc76c0d86b8229..dccb20895094948b7da01b6f349aa92986146bd4 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/HELMINTHS_BINARY_EfficientNetB0_Round3.keras +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/HELMINTHS_BINARY_EfficientNetB0_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:3593f58e8809bba1e5e75fbbf4bdae450d61e81f2452c7943b6829db1ce6145b +oid sha256:c4047e8f3db1c90443c64668bde0403657dd2d8f69e0205a6da93b21185cab48 size 20986130 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/classification_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/classification_metrics.txt index fe40085203fc50914f80f570e2a15484579e8e46..350d6367134da940f74c2336886145abfab95869 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/classification_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/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: 0.0001 +Log Loss: 0.0002 F0.5-Score: 1.0000 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/confusion_matrix.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/confusion_matrix.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/confusion_matrix.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/roc_curve.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/roc_curve.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/roc_curve.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/testing_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/testing_metrics.txt index b9c0e711b31cc876f775b4abfd457444a9d085f7..58027bd0e6549d695cd1668205081d8ef03f512b 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/testing_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0001 +loss: 0.0002 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_accuracy.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_accuracy.png index 6b34eb6439dc23910325df8d750f15e3ce565866..74e3a9573e0182e30b6e493d3c335f6da0b0adb7 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_accuracy.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_accuracy.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_loss.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_loss.png index 789980d112d879a79722c1408c02c9fbef15324b..b71f4b0e751d967b8a4444203ae2b3961cdce968 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_loss.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_loss.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_validation_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_validation_metrics.txt index b222985487c5d9b34ea76cd1b88298886a4473fa..31002a007d7ebe5088c66f03d3bded990b059ade 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_validation_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9855 - Validation Accuracy: 0.9994 - Training Loss: 0.0463 - Validation Loss: 0.0059 + Training Accuracy: 0.9718 + Validation Accuracy: 0.9961 + Training Loss: 0.0905 + Validation Loss: 0.0201 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9997 - Training Loss: 0.0062 - Validation Loss: 0.0026 + Training Accuracy: 0.9960 + Validation Accuracy: 0.9979 + Training Loss: 0.0177 + Validation Loss: 0.0084 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9996 - Training Loss: 0.0032 - Validation Loss: 0.0020 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9992 + Training Loss: 0.0106 + Validation Loss: 0.0053 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0020 - Validation Loss: 0.0015 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9990 + Training Loss: 0.0066 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0014 - Validation Loss: 0.0012 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9992 + Training Loss: 0.0053 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0011 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9994 + Training Loss: 0.0052 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9997 + Training Accuracy: 0.9988 Validation Accuracy: 0.9996 - Training Loss: 0.0010 - Validation Loss: 0.0015 + Training Loss: 0.0045 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0005 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9996 + Training Loss: 0.0032 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0005 - Validation Loss: 0.0005 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0025 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 + Training Accuracy: 0.9992 Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0010 + Training Loss: 0.0027 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0005 - Validation Loss: 0.0037 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0023 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0005 - Validation Loss: 0.0004 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9998 + Training Loss: 0.0023 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0005 - Validation Loss: 0.0007 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0019 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0004 - Validation Loss: 0.0007 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0016 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0002 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0015 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0015 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9992 + Training Loss: 0.0016 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 18 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9995 - Training Loss: 0.0002 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9998 + Training Loss: 0.0012 Validation Loss: 0.0011 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0012 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0006 - Validation Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0013 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0013 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0010 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9990 + Training Loss: 0.0014 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 + Training Accuracy: 0.9997 Validation Accuracy: 0.9996 - Training Loss: 0.0002 - Validation Loss: 0.0010 + Training Loss: 0.0012 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9996 - Training Loss: 0.0001 - Validation Loss: 0.0013 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0008 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0010 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9996 - Training Loss: 0.0000 - Validation Loss: 0.0013 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9992 + Training Loss: 0.0009 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0004 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0010 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0009 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 29 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 - Validation Loss: 0.0003 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9998 + Training Loss: 0.0013 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0006 + Validation Loss: 0.0008 -------------------------------------------------- diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/HELMINTHS_BINARY_EfficientNetB0_Round4.keras b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/HELMINTHS_BINARY_EfficientNetB0_Round4.keras index 58d3327d80f1fc56c61c3d19e131e7cf35777d15..6cf18c76f2d2afd17e980cfb983c943c12d3a761 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/HELMINTHS_BINARY_EfficientNetB0_Round4.keras +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/HELMINTHS_BINARY_EfficientNetB0_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:7817f69dbaa59095afcbbddea98415a28a2f8fc653809bc5a0e7819f55e8973d +oid sha256:5f2cefddf7737fab764b81efcb770e740dff9741587c762a420b0983fa435507 size 20986130 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/classification_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..7cc84a74ec03ffba7b444aad37642c2828c95cdc 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/classification_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 1.0000 Cohen's Kappa: 1.0000 Balanced Accuracy: 1.0000 Jaccard Index: 1.0000 -Log Loss: 0.0000 +Log Loss: 0.0003 F0.5-Score: 1.0000 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/confusion_matrix.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/confusion_matrix.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/confusion_matrix.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/roc_curve.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/roc_curve.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/roc_curve.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/testing_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..93b601323909cb417927e30a18e4f6c09d7fc38a 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/testing_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0000 +loss: 0.0003 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_accuracy.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_accuracy.png index 95bdb686800e5f1cf8e2f86fcbc6b9a240fd5e18..6061ed01f8ff88e8a9f21e5149a129d577ae2e6d 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_accuracy.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_accuracy.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_loss.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_loss.png index ed399b9435c7ad0688f369abf19761815d546b71..92c05d2667bb5b1b45456ef783511b1519a582fc 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_loss.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_loss.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_validation_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_validation_metrics.txt index 0cfeb63fae8549834cbe1e2b0d5ff624458899a8..d25c00e9925637e224619f52ff5e5e092f6ba284 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_validation_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9855 - Validation Accuracy: 0.9991 - Training Loss: 0.0454 - Validation Loss: 0.0058 + Training Accuracy: 0.9725 + Validation Accuracy: 0.9956 + Training Loss: 0.0874 + Validation Loss: 0.0208 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9995 - Training Loss: 0.0053 - Validation Loss: 0.0032 + Training Accuracy: 0.9957 + Validation Accuracy: 0.9973 + Training Loss: 0.0178 + Validation Loss: 0.0099 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9996 - Training Loss: 0.0033 - Validation Loss: 0.0020 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9985 + Training Loss: 0.0111 + Validation Loss: 0.0060 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9991 - Training Loss: 0.0016 - Validation Loss: 0.0028 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9988 + Training Loss: 0.0071 + Validation Loss: 0.0042 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9996 - Training Loss: 0.0015 - Validation Loss: 0.0012 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9992 + Training Loss: 0.0063 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0013 - Validation Loss: 0.0015 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9992 + Training Loss: 0.0045 + Validation Loss: 0.0028 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9999 + Training Accuracy: 0.9988 Validation Accuracy: 0.9996 - Training Loss: 0.0009 - Validation Loss: 0.0011 + Training Loss: 0.0043 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9999 - Training Loss: 0.0009 - Validation Loss: 0.0004 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9996 + Training Loss: 0.0038 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 + Training Accuracy: 0.9992 Validation Accuracy: 0.9996 - Training Loss: 0.0005 - Validation Loss: 0.0010 + Training Loss: 0.0030 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9998 + Training Accuracy: 0.9992 Validation Accuracy: 0.9996 - Training Loss: 0.0007 - Validation Loss: 0.0012 + Training Loss: 0.0028 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0004 - Validation Loss: 0.0013 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9994 + Training Loss: 0.0022 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 12 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9996 - Training Loss: 0.0004 - Validation Loss: 0.0006 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9992 + Training Loss: 0.0021 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 + Training Accuracy: 0.9994 Validation Accuracy: 0.9996 - Training Loss: 0.0006 - Validation Loss: 0.0014 + Training Loss: 0.0024 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9995 - Training Loss: 0.0006 - Validation Loss: 0.0019 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0017 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9986 - Training Loss: 0.0002 - Validation Loss: 0.0044 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9994 + Training Loss: 0.0015 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0005 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0012 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9998 + Training Accuracy: 0.9995 Validation Accuracy: 0.9996 - Training Loss: 0.0004 - Validation Loss: 0.0010 + Training Loss: 0.0017 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 18 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9990 - Training Loss: 0.0003 - Validation Loss: 0.0026 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0014 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9995 - Training Loss: 0.0002 - Validation Loss: 0.0015 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0013 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9998 + Training Loss: 0.0011 Validation Loss: 0.0008 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0004 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9992 + Training Loss: 0.0012 Validation Loss: 0.0010 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0008 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0009 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0010 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0010 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0010 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0007 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9998 + Training Loss: 0.0014 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 26 Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0006 - Validation Loss: 0.0004 + Validation Accuracy: 1.0000 + Training Loss: 0.0008 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 + Training Accuracy: 0.9996 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0001 + Training Loss: 0.0009 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 28 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0011 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 29 Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0001 + Validation Accuracy: 0.9996 + Training Loss: 0.0005 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9994 + Training Loss: 0.0007 + Validation Loss: 0.0007 -------------------------------------------------- diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/HELMINTHS_BINARY_EfficientNetB0_Round5.keras b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/HELMINTHS_BINARY_EfficientNetB0_Round5.keras index 9900f2c6be8bb333f15c8e4c20c36ddd59cb79a3..f473c422cd303c69291d04306891072b86b1fa9b 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/HELMINTHS_BINARY_EfficientNetB0_Round5.keras +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/HELMINTHS_BINARY_EfficientNetB0_Round5.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:ab15d89bee2b2d65eee0cf4d4e7702ee41d37b1fa019084aee14ad9e1fd53b2d +oid sha256:df6a10f22107417b3d9d4da937f7d9fb36565c43834120bfb072943763dbea26 size 20986130 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/classification_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/classification_metrics.txt index fe40085203fc50914f80f570e2a15484579e8e46..350d6367134da940f74c2336886145abfab95869 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/classification_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 1.0000 Cohen's Kappa: 1.0000 Balanced Accuracy: 1.0000 Jaccard Index: 1.0000 -Log Loss: 0.0001 +Log Loss: 0.0002 F0.5-Score: 1.0000 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/confusion_matrix.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/confusion_matrix.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/confusion_matrix.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/roc_curve.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/roc_curve.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/roc_curve.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/testing_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/testing_metrics.txt index b9c0e711b31cc876f775b4abfd457444a9d085f7..58027bd0e6549d695cd1668205081d8ef03f512b 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/testing_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0001 +loss: 0.0002 diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_accuracy.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_accuracy.png index ba2c789e7f6b534dc6c6427c72a553aed6ed16c6..8e7acbc05baf067de564621a5f8306e89f49fa1e 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_accuracy.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_accuracy.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_loss.png b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_loss.png index 606bd0095f0361632cf60055b09baf22a3339ad6..066562b7a6fb40008e60d2bcbc77ec75c3e4de6f 100644 Binary files a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_loss.png and b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_loss.png differ diff --git a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_validation_metrics.txt b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_validation_metrics.txt index d66ec796c68529d40f2ddab7fa644f3b914b315a..a695af3b1da3731ae513029df8c61ef72cec4ea6 100644 --- a/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_validation_metrics.txt +++ b/EfficientNetB0/HELMINTHS_BINARY_EfficientNetB0_Round5/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9857 - Validation Accuracy: 0.9992 - Training Loss: 0.0458 - Validation Loss: 0.0051 + Training Accuracy: 0.9725 + Validation Accuracy: 0.9963 + Training Loss: 0.0885 + Validation Loss: 0.0194 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9997 - Training Loss: 0.0058 - Validation Loss: 0.0018 + Training Accuracy: 0.9955 + Validation Accuracy: 0.9979 + Training Loss: 0.0183 + Validation Loss: 0.0087 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9996 - Training Loss: 0.0031 - Validation Loss: 0.0016 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9977 + Training Loss: 0.0101 + Validation Loss: 0.0063 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9996 - Training Loss: 0.0021 - Validation Loss: 0.0014 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9986 + Training Loss: 0.0072 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9995 - Training Loss: 0.0011 - Validation Loss: 0.0021 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9986 + Training Loss: 0.0057 + Validation Loss: 0.0037 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9996 - Training Loss: 0.0013 - Validation Loss: 0.0010 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9990 + Training Loss: 0.0046 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0009 - Validation Loss: 0.0006 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0044 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0007 - Validation Loss: 0.0008 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9992 + Training Loss: 0.0031 + Validation Loss: 0.0026 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9995 - Training Loss: 0.0005 - Validation Loss: 0.0014 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0023 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0008 - Validation Loss: 0.0004 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0022 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9994 - Training Loss: 0.0005 - Validation Loss: 0.0022 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9992 + Training Loss: 0.0019 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9997 - Training Loss: 0.0008 - Validation Loss: 0.0005 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9988 + Training Loss: 0.0016 + Validation Loss: 0.0032 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0005 - Validation Loss: 0.0004 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9996 + Training Loss: 0.0023 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0005 - Validation Loss: 0.0003 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0017 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 + Training Accuracy: 0.9996 Validation Accuracy: 0.9996 - Training Loss: 0.0003 - Validation Loss: 0.0008 + Training Loss: 0.0013 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9998 + Training Loss: 0.0013 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0004 - Validation Loss: 0.0005 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 18 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9996 - Training Loss: 0.0001 - Validation Loss: 0.0009 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9998 + Training Loss: 0.0010 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0015 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0002 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0008 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0008 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 22 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0011 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0007 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9998 + Training Loss: 0.0011 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9995 - Training Loss: 0.0002 - Validation Loss: 0.0013 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0009 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 0.9996 - Training Loss: 0.0002 - Validation Loss: 0.0013 + Training Loss: 0.0007 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0008 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9994 - Training Loss: 0.0003 - Validation Loss: 0.0015 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0010 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 28 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0009 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 29 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9992 + Training Loss: 0.0010 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0006 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0009 + Validation Loss: 0.0007 -------------------------------------------------- diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/HELMINTHS_BINARY_ResNet50_Round1.keras b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/HELMINTHS_BINARY_ResNet50_Round1.keras index 31b99154c0871a219b8333568b54f8c28d4d0c49..ac71197ea8555a36048feadbd0296c9e3d026fab 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/HELMINTHS_BINARY_ResNet50_Round1.keras +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/HELMINTHS_BINARY_ResNet50_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:331a49db79a347707caa58542450d51aaa33b803976e42bfef17a3db6dce1b64 +oid sha256:d1e658bd3ae5e736ab9cfd475e3311ae7c6298fabcbec9bd01e536ad363669ec size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..0c925bcf93ef13aa6dc57b48d913d1289891d04d 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/classification_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ -Precision: 1.0000 +Precision: 0.9984 Recall: 1.0000 Sensitivity: 1.0000 -Specificity: 1.0000 -F1-Score: 1.0000 +Specificity: 0.9985 +F1-Score: 0.9992 AUC: 1.0000 -MCC: 1.0000 -Cohen's Kappa: 1.0000 -Balanced Accuracy: 1.0000 -Jaccard Index: 1.0000 -Log Loss: 0.0000 -F0.5-Score: 1.0000 +MCC: 0.9985 +Cohen's Kappa: 0.9985 +Balanced Accuracy: 0.9992 +Jaccard Index: 0.9984 +Log Loss: 0.0010 +F0.5-Score: 0.9987 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..006e446767f0a2f2430a3b62162c25aab338317a 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/confusion_matrix.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/confusion_matrix.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/roc_curve.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/roc_curve.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/roc_curve.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..15b600a4e95d6d1e5a9056fe7db4fc03f6e7000a 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 1.0000 +accuracy: 0.9992 auc: 1.0000 -loss: 0.0000 +loss: 0.0010 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_accuracy.png index 43816d7cac7e611b3f9dc713acd667d599aef0dc..8f02093f5019ecc08b8b28c8717803a9be9ae617 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_accuracy.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_accuracy.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_loss.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_loss.png index 6ae1acf048a13c533e100b338971005c12d19faa..fb179a7303d7bae78af68f03b37af77e3a08b923 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_loss.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_loss.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_validation_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_validation_metrics.txt index 2bac1d05992fcc59a67e9693d40c3c26e2c26931..8501a3b7465e75b1ebddf993c29848c131f7b455 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9953 - Validation Accuracy: 0.9997 - Training Loss: 0.0160 - Validation Loss: 0.0012 + Training Accuracy: 0.9876 + Validation Accuracy: 0.9988 + Training Loss: 0.0357 + Validation Loss: 0.0047 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9997 - Validation Accuracy: 1.0000 - Training Loss: 0.0017 - Validation Loss: 0.0003 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9996 + Training Loss: 0.0057 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9999 - Training Loss: 0.0009 - Validation Loss: 0.0006 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9996 + Training Loss: 0.0029 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 4 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0022 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Accuracy: 0.9997 + Validation Accuracy: 1.0000 + Training Loss: 0.0016 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 6 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0009 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 7 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0007 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 8 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Validation Accuracy: 0.9998 + Training Loss: 0.0005 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 9 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 10 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 11 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9998 + Training Loss: 0.0011 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 12 Training Accuracy: 0.9999 - Validation Accuracy: 0.9996 - Training Loss: 0.0002 - Validation Loss: 0.0010 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 13 Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 14 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 16 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0007 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 18 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0003 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 Validation Loss: 0.0002 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Validation Accuracy: 0.9998 Training Loss: 0.0000 - Validation Loss: 0.0000 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 22 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 Training Loss: 0.0001 - Validation Loss: 0.0000 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0002 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 29 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 Validation Loss: 0.0001 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0002 + Validation Loss: 0.0007 -------------------------------------------------- diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/HELMINTHS_BINARY_ResNet50_Round2.keras b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/HELMINTHS_BINARY_ResNet50_Round2.keras index 3b6e2221e7e42ef34a7b55fa19d2412475b4df4b..1bd5010288eecccedfc747a63aad31cc3defd226 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/HELMINTHS_BINARY_ResNet50_Round2.keras +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/HELMINTHS_BINARY_ResNet50_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:06a71d9bb5e215bb633a242d26d66b221239f18bb81fe029f8dc0278ea11ed5b +oid sha256:cda79341ab9564ffb35daa6f789879ad2311974467e31dddc2a92f18336cc631 size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt index fe40085203fc50914f80f570e2a15484579e8e46..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_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: 0.0001 +Log Loss: 0.0000 F0.5-Score: 1.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/confusion_matrix.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/confusion_matrix.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/roc_curve.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/roc_curve.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/roc_curve.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/testing_metrics.txt index b9c0e711b31cc876f775b4abfd457444a9d085f7..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0001 +loss: 0.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_accuracy.png index b76a4729f328ab9b35e82d26c4b62697d72323bd..eb8ac980614e0b7e9cdf4eb4d8f7e67b72b1a409 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_accuracy.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_accuracy.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_loss.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_loss.png index ab3c915ba9733abb58408939a76344eda0991194..28f3234c5c01e03b41576abb99c769b4fe65ed97 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_loss.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_loss.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_validation_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_validation_metrics.txt index 93f5281239108a467b1a3eb3bf1efe93d004cf80..f4ca5c414739d6b24bd022ce96a3d5c0370cf9f3 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_validation_metrics.txt @@ -1,141 +1,141 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9940 - Validation Accuracy: 0.9999 - Training Loss: 0.0199 - Validation Loss: 0.0011 + Training Accuracy: 0.9869 + Validation Accuracy: 0.9981 + Training Loss: 0.0396 + Validation Loss: 0.0057 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9999 - Training Loss: 0.0017 - Validation Loss: 0.0008 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9990 + Training Loss: 0.0058 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0008 - Validation Loss: 0.0004 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9996 + Training Loss: 0.0033 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9999 - Training Loss: 0.0007 - Validation Loss: 0.0004 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0021 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 5 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0017 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 6 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9998 + Training Loss: 0.0015 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 7 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0008 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 8 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0009 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 9 Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Validation Accuracy: 1.0000 + Training Loss: 0.0004 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 10 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0004 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 11 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0004 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 12 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0006 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 13 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0005 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 14 Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 + Validation Accuracy: 0.9998 Training Loss: 0.0001 - Validation Loss: 0.0002 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9996 - Training Loss: 0.0000 - Validation Loss: 0.0009 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0006 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 16 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0005 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0003 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0000 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0005 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 22 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 + Training Loss: 0.0001 Validation Loss: 0.0000 -------------------------------------------------- Epoch 24 @@ -147,36 +147,36 @@ Epoch 24 Epoch 25 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 + Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0008 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 28 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0000 - Validation Loss: 0.0010 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0003 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 29 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/HELMINTHS_BINARY_ResNet50_Round3.keras b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/HELMINTHS_BINARY_ResNet50_Round3.keras index a985a26ca79de7c4d93e2635aa42bfc550a0f2cc..3ab194896814a6ab6ca41d1f51e3c195b1a7339b 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/HELMINTHS_BINARY_ResNet50_Round3.keras +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/HELMINTHS_BINARY_ResNet50_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b663a11e1ac7bfdf2e72f1b4a623763aa135103ba95b594d19d65e8b48e12fb7 +oid sha256:18905592551a86fbc60e8c4dc42104b84b5e283327af20b9b6f123f1d250c466 size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/classification_metrics.txt index cb8cbe3bdb1ad83d2638dfc349bb51437dd1c92c..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/classification_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9996 -Sensitivity: 0.9996 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9998 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9994 -Cohen's Kappa: 0.9994 -Balanced Accuracy: 0.9998 -Jaccard Index: 0.9996 -Log Loss: 0.0002 -F0.5-Score: 0.9999 +MCC: 1.0000 +Cohen's Kappa: 1.0000 +Balanced Accuracy: 1.0000 +Jaccard Index: 1.0000 +Log Loss: 0.0000 +F0.5-Score: 1.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/confusion_matrix.png index f5391ca8eb9b062d72e235a0224dca8704ae71d9..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/confusion_matrix.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/confusion_matrix.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/roc_curve.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/roc_curve.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/roc_curve.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/testing_metrics.txt index dd056afd8e489c5dcc5360655273b490cadf95cd..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9997 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0002 +loss: 0.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_accuracy.png index 121fe2a945b391ef7d603029ce5f6331f9f82a66..274983e5a307443ae18db157b98754214185dd95 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_accuracy.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_accuracy.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_loss.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_loss.png index 029f098dbe3d22fc0f57a220eab0a0ffcdac0963..1da1c5d4045ed4fa9fe4d9985c6902df69f8a9f2 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_loss.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_loss.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_validation_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_validation_metrics.txt index 11bf78c2a3ba1a7f1d87934b24c6e2800dbd4636..c6c0ffc9ddcf8a4cfcfbd7f4cc73816e84794c38 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_validation_metrics.txt @@ -1,166 +1,166 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9929 - Validation Accuracy: 0.9997 - Training Loss: 0.0203 - Validation Loss: 0.0013 + Training Accuracy: 0.9858 + Validation Accuracy: 0.9985 + Training Loss: 0.0434 + Validation Loss: 0.0062 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9997 - Training Loss: 0.0017 - Validation Loss: 0.0007 + Training Accuracy: 0.9980 + Validation Accuracy: 0.9996 + Training Loss: 0.0076 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0009 - Validation Loss: 0.0003 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9996 + Training Loss: 0.0033 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 4 - Training Accuracy: 1.0000 + Training Accuracy: 0.9994 Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0002 + Training Loss: 0.0026 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 5 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Training Loss: 0.0014 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 6 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9998 + Training Loss: 0.0014 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 7 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0008 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 8 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0006 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 9 Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0002 - Validation Loss: 0.0002 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 10 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0009 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 11 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0008 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 12 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 13 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 14 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Loss: 0.0001 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0002 - Validation Loss: 0.0000 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 16 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Loss: 0.0002 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 18 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0005 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0005 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0000 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0005 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0003 Validation Loss: 0.0002 -------------------------------------------------- Epoch 26 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0000 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0000 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 @@ -169,14 +169,14 @@ Epoch 28 Validation Loss: 0.0000 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9998 Training Loss: 0.0001 Validation Loss: 0.0004 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0003 - Validation Loss: 0.0002 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9996 + Training Loss: 0.0001 + Validation Loss: 0.0006 -------------------------------------------------- diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/HELMINTHS_BINARY_ResNet50_Round4.keras b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/HELMINTHS_BINARY_ResNet50_Round4.keras index a9d140ae5f5087413d38476a86af0c837290486b..00617d0246decfbb8e668879721d48ef195d1cac 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/HELMINTHS_BINARY_ResNet50_Round4.keras +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/HELMINTHS_BINARY_ResNet50_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:75426970de93c978340c018ee82301b4f7636cd9f455eec90ee1ec189943cbbc +oid sha256:89464335e76becb8547ed1f830f0c46716a006f3cb65101cf61d3e9ed3f3e25f size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/confusion_matrix.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/confusion_matrix.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/roc_curve.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/roc_curve.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/roc_curve.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_accuracy.png index 08fd3fe9ae1162ac1a637ca1604c3924be365c4f..3c18616d059d5cdee50fcba4d08a6db5e9719de5 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_accuracy.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_accuracy.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_loss.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_loss.png index cb422ca628dcf303e39319834776ed8a4aaedc1b..0cde4d4fcd711a6345859d413d44f42f47be6e6e 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_loss.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_loss.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_validation_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_validation_metrics.txt index 09a4b3c0a4b2863c70f5e7d344fd335bf460e467..d525e2c8ef62cbc88416649e328dd40a2c07a3b3 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_validation_metrics.txt @@ -1,178 +1,178 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9951 - Validation Accuracy: 1.0000 - Training Loss: 0.0162 - Validation Loss: 0.0009 + Training Accuracy: 0.9851 + Validation Accuracy: 0.9977 + Training Loss: 0.0466 + Validation Loss: 0.0076 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9998 - Validation Accuracy: 1.0000 - Training Loss: 0.0014 - Validation Loss: 0.0004 + Training Accuracy: 0.9983 + Validation Accuracy: 0.9994 + Training Loss: 0.0067 + Validation Loss: 0.0031 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9996 - Validation Accuracy: 1.0000 - Training Loss: 0.0011 - Validation Loss: 0.0005 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0031 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 4 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0002 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0020 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 5 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0018 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 6 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0013 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 7 Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0002 + Validation Accuracy: 0.9996 + Training Loss: 0.0006 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 8 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0008 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 9 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0007 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 10 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0007 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 11 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9994 + Training Loss: 0.0004 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 12 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0005 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 14 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Validation Accuracy: 0.9996 + Training Loss: 0.0002 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 16 Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 Validation Loss: 0.0002 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0000 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0002 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 21 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9994 + Training Loss: 0.0002 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 22 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 - Validation Loss: 0.0006 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0003 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 23 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0003 Validation Loss: 0.0001 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 Validation Loss: 0.0001 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 - Validation Loss: 0.0003 + Validation Accuracy: 1.0000 + Training 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 - Validation Accuracy: 0.9999 + Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0005 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/HELMINTHS_BINARY_ResNet50_Round5.keras b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/HELMINTHS_BINARY_ResNet50_Round5.keras index 4b6a9d7201a5f37d004e505221fe940f2f4969bf..055aaaee4818f7e8e47c14466371c1ae530eb1fc 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/HELMINTHS_BINARY_ResNet50_Round5.keras +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/HELMINTHS_BINARY_ResNet50_Round5.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:160ed155d0030320e044c246defa99a39be9fd0861517936e2a48a128fcaeac2 +oid sha256:154b3a7ad22251da8907b57a97e71539749f643f5fd26dfd2819dc6daa2b101a size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt index 1a404a9b3b956e3b672634e8298a648d3d58e89d..fe40085203fc50914f80f570e2a15484579e8e46 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt @@ -8,5 +8,5 @@ MCC: 1.0000 Cohen's Kappa: 1.0000 Balanced Accuracy: 1.0000 Jaccard Index: 1.0000 -Log Loss: 0.0000 +Log Loss: 0.0001 F0.5-Score: 1.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/confusion_matrix.png index f0feb0396a1f1c7619f5cb41b7b1c04c614afb02..62a5b28323380f3d6e2b203bbbf37f30d7ecc900 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/confusion_matrix.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/confusion_matrix.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/roc_curve.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/roc_curve.png index 36e7da7c44fd35c6265775f18067784243763ecf..1cc0d38a7d75c7f7461aec0df61020d0d518491a 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/roc_curve.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/roc_curve.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/testing_metrics.txt index ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46..b9c0e711b31cc876f775b4abfd457444a9d085f7 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ accuracy: 1.0000 auc: 1.0000 -loss: 0.0000 +loss: 0.0001 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_accuracy.png index f576a14bcb8d1938ec0abba203f3399752e504a2..041d3b91c2a21363217425c1fdf1c9ecb4f4ca82 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_accuracy.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_accuracy.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_loss.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_loss.png index 80a3612afae82c8ce2edc1e419bbabddbd154952..459f3e673ecb00f0790c4eb00923cb666a9b018c 100644 Binary files a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_loss.png and b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_loss.png differ diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_validation_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_validation_metrics.txt index 6d51e33e83615a8e0517a03eb3b8eb98cd756cc0..6582c4c5bba4b65e93581f38cd7134114f0ba89b 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9934 - Validation Accuracy: 1.0000 - Training Loss: 0.0194 - Validation Loss: 0.0009 + Training Accuracy: 0.9869 + Validation Accuracy: 0.9986 + Training Loss: 0.0400 + Validation Loss: 0.0065 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9999 - Training Loss: 0.0015 - Validation Loss: 0.0005 + Training Accuracy: 0.9985 + Validation Accuracy: 0.9996 + Training Loss: 0.0063 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0009 - Validation Loss: 0.0007 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9996 + Training Loss: 0.0033 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9997 - Validation Accuracy: 1.0000 - Training Loss: 0.0009 - Validation Loss: 0.0002 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9996 + Training Loss: 0.0020 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0005 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9998 + Training Loss: 0.0015 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 6 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0010 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 7 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9998 + Training Loss: 0.0008 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0001 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0007 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 9 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 10 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0005 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 11 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 12 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 13 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0004 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 14 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0003 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 15 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 16 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0001 + Training Loss: 0.0003 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 17 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0000 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9992 + Training Loss: 0.0003 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 + Training Accuracy: 0.9997 + Validation Accuracy: 1.0000 + Training Loss: 0.0007 Validation Loss: 0.0001 -------------------------------------------------- Epoch 20 - Training Accuracy: 1.0000 + Training Accuracy: 0.9998 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Loss: 0.0004 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 22 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Validation Accuracy: 0.9998 Training Loss: 0.0000 - Validation Loss: 0.0000 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 25 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0001 + Training Loss: 0.0003 Validation Loss: 0.0001 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 27 - Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 - Validation Accuracy: 0.9999 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Validation Accuracy: 0.9998 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Validation Accuracy: 0.9998 Training Loss: 0.0000 - Validation Loss: 0.0000 + Validation Loss: 0.0002 --------------------------------------------------