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0.0006 + Validation Loss: 0.0014 +-------------------------------------------------- +Epoch 14 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9995 + Training Loss: 0.0006 + Validation Loss: 0.0019 +-------------------------------------------------- +Epoch 15 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9986 + Training Loss: 0.0002 + Validation Loss: 0.0044 +-------------------------------------------------- +Epoch 16 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0005 +-------------------------------------------------- +Epoch 17 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0004 + Validation Loss: 0.0010 +-------------------------------------------------- +Epoch 18 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9990 + Training Loss: 0.0003 + Validation Loss: 0.0026 +-------------------------------------------------- +Epoch 19 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9995 + Training Loss: 0.0002 + Validation Loss: 0.0015 +-------------------------------------------------- +Epoch 20 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0008 +-------------------------------------------------- +Epoch 21 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0010 +-------------------------------------------------- +Epoch 22 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0008 +-------------------------------------------------- +Epoch 23 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0010 +-------------------------------------------------- +Epoch 24 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0010 +-------------------------------------------------- +Epoch 25 + Training Accuracy: 1.0000 + 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+-------------------------------------------------- +Epoch 3 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9996 + Training Loss: 0.0031 + Validation Loss: 0.0016 +-------------------------------------------------- +Epoch 4 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9996 + Training Loss: 0.0021 + Validation Loss: 0.0014 +-------------------------------------------------- +Epoch 5 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9995 + Training Loss: 0.0011 + Validation Loss: 0.0021 +-------------------------------------------------- +Epoch 6 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0013 + Validation Loss: 0.0010 +-------------------------------------------------- +Epoch 7 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0006 +-------------------------------------------------- +Epoch 8 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0007 + Validation Loss: 0.0008 +-------------------------------------------------- +Epoch 9 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9995 + Training Loss: 0.0005 + Validation Loss: 0.0014 +-------------------------------------------------- +Epoch 10 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0008 + Validation Loss: 0.0004 +-------------------------------------------------- +Epoch 11 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9994 + Training Loss: 0.0005 + Validation Loss: 0.0022 +-------------------------------------------------- +Epoch 12 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0005 +-------------------------------------------------- +Epoch 13 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0005 + Validation Loss: 0.0004 +-------------------------------------------------- +Epoch 14 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0005 + Validation Loss: 0.0003 +-------------------------------------------------- +Epoch 15 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0008 +-------------------------------------------------- +Epoch 16 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0003 + Validation Loss: 0.0001 +-------------------------------------------------- +Epoch 17 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0005 +-------------------------------------------------- +Epoch 18 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9996 + Training Loss: 0.0001 + Validation Loss: 0.0009 +-------------------------------------------------- +Epoch 19 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0003 +-------------------------------------------------- +Epoch 20 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0004 + Validation Loss: 0.0002 +-------------------------------------------------- +Epoch 21 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0004 +-------------------------------------------------- +Epoch 22 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0007 +-------------------------------------------------- +Epoch 23 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0007 +-------------------------------------------------- +Epoch 24 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9995 + Training Loss: 0.0002 + Validation Loss: 0.0013 +-------------------------------------------------- +Epoch 25 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9996 + Training Loss: 0.0002 + Validation Loss: 0.0013 +-------------------------------------------------- +Epoch 26 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0002 +-------------------------------------------------- +Epoch 27 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9994 + Training Loss: 0.0003 + Validation Loss: 0.0015 +-------------------------------------------------- +Epoch 28 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0006 +-------------------------------------------------- +Epoch 29 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0003 +-------------------------------------------------- +Epoch 30 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0006 +-------------------------------------------------- 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 0562c9eb7558fb817845d69929ed919c1941208d..31b99154c0871a219b8333568b54f8c28d4d0c49 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:d8169cf63b5cf7a11cec42ee48343548ad888e2bd27dec1132655998eb712c85 +oid sha256:331a49db79a347707caa58542450d51aaa33b803976e42bfef17a3db6dce1b64 size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/classification_metrics.txt index 1808c18db742bac0b16c702a1536d69139ddaea0..1a404a9b3b956e3b672634e8298a648d3d58e89d 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 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0012 -F0.5-Score: 0.9990 +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_Round1/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 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/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt index 66957651df93bd8d1b62ee8d8ef372d81dc31dbe..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0012 +loss: 0.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round1/training_accuracy.png index 2d01461cc67e0ae98b5fef7f21d976063b587504..43816d7cac7e611b3f9dc713acd667d599aef0dc 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 865bb2b337cfeebe76d34d504ebf3014daaaf1fc..6ae1acf048a13c533e100b338971005c12d19faa 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 b50aa533ac90de9b4a6a1a4465004cd3b9ba845d..2bac1d05992fcc59a67e9693d40c3c26e2c26931 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: 0.9828 - Validation Accuracy: 0.9941 - Training Loss: 0.0483 - Validation Loss: 0.0155 + Training Accuracy: 0.9953 + Validation Accuracy: 0.9997 + Training Loss: 0.0160 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9967 - Training Loss: 0.0071 - Validation Loss: 0.0075 + Training Accuracy: 0.9997 + Validation Accuracy: 1.0000 + Training Loss: 0.0017 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9987 - Training Loss: 0.0039 - Validation Loss: 0.0042 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9999 + Training Loss: 0.0009 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9990 - Training Loss: 0.0022 - Validation Loss: 0.0026 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9987 - Training Loss: 0.0014 - Validation Loss: 0.0031 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0012 - Validation Loss: 0.0022 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0013 - Validation Loss: 0.0030 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0007 - Validation Loss: 0.0018 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0007 - Validation Loss: 0.0021 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0005 - Validation Loss: 0.0014 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0010 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9997 - Validation Accuracy: 1.0000 - Training Loss: 0.0007 - Validation Loss: 0.0008 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0002 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 13 Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0004 - Validation Loss: 0.0024 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 14 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0008 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 15 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9987 - Training Loss: 0.0005 - Validation Loss: 0.0025 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 17 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0008 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0001 - Validation Loss: 0.0008 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0005 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9998 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0006 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0004 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 22 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0005 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0008 - Validation Loss: 0.0009 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0005 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0006 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0003 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0004 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0006 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 + Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0005 + Validation Loss: 0.0000 -------------------------------------------------- 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 c2c4ba1b04bab4aade3f997d17db75e391bc5949..3b6e2221e7e42ef34a7b55fa19d2412475b4df4b 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:d3bfaa48a5a648362c64e6425498fe3f95b3053d72d48928b74d85da5501a4a4 +oid sha256:06a71d9bb5e215bb633a242d26d66b221239f18bb81fe029f8dc0278ea11ed5b size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt index 4687323920c4bf1afc0411eefd84a5514170adf5..fe40085203fc50914f80f570e2a15484579e8e46 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0015 -F0.5-Score: 0.9990 +MCC: 1.0000 +Cohen's Kappa: 1.0000 +Balanced Accuracy: 1.0000 +Jaccard Index: 1.0000 +Log Loss: 0.0001 +F0.5-Score: 1.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 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/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/testing_metrics.txt index 76decfcf414874eec4d8fcbad4e0de095ab87207..b9c0e711b31cc876f775b4abfd457444a9d085f7 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0015 +loss: 0.0001 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_accuracy.png index 44e904191c2d0e05593e0c0d8d6cb675ec6d90a4..b76a4729f328ab9b35e82d26c4b62697d72323bd 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 c822007d5643728e0621dde941ec9ac09d04887c..ab3c915ba9733abb58408939a76344eda0991194 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 905c9cca76ecfcb9956c943bee1e42c68a0f1292..93f5281239108a467b1a3eb3bf1efe93d004cf80 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9899 - Validation Accuracy: 0.9961 - Training Loss: 0.0339 - Validation Loss: 0.0102 + Training Accuracy: 0.9940 + Validation Accuracy: 0.9999 + Training Loss: 0.0199 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9990 - Training Loss: 0.0064 - Validation Loss: 0.0033 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9999 + Training Loss: 0.0017 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0028 - Validation Loss: 0.0030 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0008 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9990 - Training Loss: 0.0016 - Validation Loss: 0.0023 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0007 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0018 - Validation Loss: 0.0016 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0010 - Validation Loss: 0.0013 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9987 - Training Loss: 0.0010 - Validation Loss: 0.0016 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9998 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0007 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9998 - Validation Accuracy: 1.0000 - Training Loss: 0.0008 - Validation Loss: 0.0006 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9998 - Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0005 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 11 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0005 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 12 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0008 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 13 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0002 - Validation Loss: 0.0013 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0003 - Validation Loss: 0.0017 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0004 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9996 + Training Loss: 0.0000 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0004 - Validation Loss: 0.0007 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0004 - Validation Loss: 0.0012 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 + Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0007 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 19 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0003 - Validation Loss: 0.0005 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 20 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0005 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 22 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0003 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 + Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0006 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 26 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0003 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Validation Accuracy: 0.9997 Training Loss: 0.0000 - Validation Loss: 0.0001 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Validation Accuracy: 0.9997 Training Loss: 0.0000 - Validation Loss: 0.0003 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0000 - Validation Loss: 0.0001 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0009 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- 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 af765998381f9a27006bccb2d74ec6989972572c..a985a26ca79de7c4d93e2635aa42bfc550a0f2cc 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:a25aabbe634e03da20da458b7d4b997f70ec258a3fda5d6fc66a5dccd90df7ae +oid sha256:b663a11e1ac7bfdf2e72f1b4a623763aa135103ba95b594d19d65e8b48e12fb7 size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/classification_metrics.txt index 5f8629ed852a39c385c785c9631717a1ab05c759..cb8cbe3bdb1ad83d2638dfc349bb51437dd1c92c 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: 0.9951 -Sensitivity: 0.9951 +Recall: 0.9996 +Sensitivity: 0.9996 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 0.9998 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0009 -F0.5-Score: 0.9990 +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 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f5391ca8eb9b062d72e235a0224dca8704ae71d9 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/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/testing_metrics.txt index 08ec570b47f11debb5cd2be33a97beb73c4c0905..dd056afd8e489c5dcc5360655273b490cadf95cd 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 0.9997 auc: 1.0000 -loss: 0.0009 +loss: 0.0002 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_accuracy.png index c4938bd5c3374135a1bfa947bbb77dc30a944ebe..121fe2a945b391ef7d603029ce5f6331f9f82a66 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 f9f1da314ba2c3a47e1a85409cf478c1c977c3ea..029f098dbe3d22fc0f57a220eab0a0ffcdac0963 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 964d3650dc47d29ca856c382e6a3c6630fac129f..11bf78c2a3ba1a7f1d87934b24c6e2800dbd4636 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9875 - Validation Accuracy: 0.9974 - Training Loss: 0.0353 - Validation Loss: 0.0079 + Training Accuracy: 0.9929 + Validation Accuracy: 0.9997 + Training Loss: 0.0203 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9984 - Training Loss: 0.0060 - Validation Loss: 0.0044 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0017 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9987 - Training Loss: 0.0035 - Validation Loss: 0.0034 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0009 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9987 - Training Loss: 0.0021 - Validation Loss: 0.0030 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0005 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9984 - Training Loss: 0.0017 - Validation Loss: 0.0046 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0017 - Validation Loss: 0.0017 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0006 - Validation Loss: 0.0017 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0009 - Validation Loss: 0.0012 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0005 - Validation Loss: 0.0013 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 10 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0003 - Validation Loss: 0.0013 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 11 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0009 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 12 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0003 - Validation Loss: 0.0014 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 13 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0007 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9993 - Training Loss: 0.0004 - Validation Loss: 0.0013 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 15 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 Training Loss: 0.0002 - Validation Loss: 0.0007 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 16 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0004 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0004 - Validation Loss: 0.0012 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 19 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 Validation Loss: 0.0001 -------------------------------------------------- Epoch 20 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 Validation Loss: 0.0001 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 22 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 + Training Loss: 0.0000 Validation Loss: 0.0001 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Validation Accuracy: 0.9999 Training Loss: 0.0000 - Validation Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0001 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9998 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0005 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- 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: 1.0000 - Training Loss: 0.0000 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 Validation Loss: 0.0004 -------------------------------------------------- Epoch 30 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0009 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0002 -------------------------------------------------- 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 6b8f877be8419c053e9c82b6a89c21c049ffdaec..a9d140ae5f5087413d38476a86af0c837290486b 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:ac1fef0d7b514f3d14ea7d8ddc36a5a67f16678de63ae2222e47d061ada7deca +oid sha256:75426970de93c978340c018ee82301b4f7636cd9f455eec90ee1ec189943cbbc size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/classification_metrics.txt index e5a2cef9dbd58c6a81a62e0f7b5b2979bde46237..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/classification_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9903 -Sensitivity: 0.9903 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9951 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9944 -Cohen's Kappa: 0.9944 -Balanced Accuracy: 0.9951 -Jaccard Index: 0.9903 -Log Loss: 0.0025 -F0.5-Score: 0.9980 +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_Round4/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/confusion_matrix.png index 148c2272c41e3532c78b6188c0ecb0b55c4bbdc9..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 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/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/testing_metrics.txt index 78cc1c59b91fc603f45f1ff6720eb93df56ee994..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9987 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0025 +loss: 0.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_accuracy.png index 59e5ec798d0d1a504e40addf49c5b00659d25657..08fd3fe9ae1162ac1a637ca1604c3924be365c4f 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 9250543181e81bb41a9680868845a49da93261bb..cb422ca628dcf303e39319834776ed8a4aaedc1b 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 933784d382d5d61e0a9e3c7d98b0a2ee404d99dc..09a4b3c0a4b2863c70f5e7d344fd335bf460e467 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_validation_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9851 - Validation Accuracy: 0.9951 - Training Loss: 0.0471 - Validation Loss: 0.0138 + Training Accuracy: 0.9951 + Validation Accuracy: 1.0000 + Training Loss: 0.0162 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9984 - Training Loss: 0.0067 - Validation Loss: 0.0046 + Training Accuracy: 0.9998 + Validation Accuracy: 1.0000 + Training Loss: 0.0014 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9990 - Training Loss: 0.0041 - Validation Loss: 0.0028 + Training Accuracy: 0.9996 + Validation Accuracy: 1.0000 + Training Loss: 0.0011 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9987 - Training Loss: 0.0021 - Validation Loss: 0.0030 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0004 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0012 - Validation Loss: 0.0028 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9990 - Training Loss: 0.0016 - Validation Loss: 0.0021 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 7 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9987 - Training Loss: 0.0007 - Validation Loss: 0.0020 + Training Accuracy: 0.9999 + Validation Accuracy: 1.0000 + Training Loss: 0.0005 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9987 - Training Loss: 0.0008 - Validation Loss: 0.0023 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0008 - Validation Loss: 0.0012 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0005 - Validation Loss: 0.0019 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 11 Training Accuracy: 1.0000 - Validation Accuracy: 0.9990 - Training Loss: 0.0003 - Validation Loss: 0.0017 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0004 - Validation Loss: 0.0009 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0004 - Validation Loss: 0.0022 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 14 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0005 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0005 - Validation Loss: 0.0014 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0009 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 17 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0006 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0007 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 19 - Training Accuracy: 1.0000 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0003 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 20 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9998 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0004 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 22 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0011 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0013 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0008 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 + Validation Accuracy: 0.9999 Training Loss: 0.0000 - Validation Loss: 0.0004 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 26 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 + Validation Accuracy: 0.9999 Training Loss: 0.0000 - Validation Loss: 0.0004 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0002 - Validation Loss: 0.0013 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 + Validation Accuracy: 0.9999 Training Loss: 0.0000 - Validation Loss: 0.0004 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 + Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0015 + Validation Loss: 0.0000 -------------------------------------------------- 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 03b4854a53db1f611213075f33776bbc950ae56a..4b6a9d7201a5f37d004e505221fe940f2f4969bf 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 sha256:993dc33175e7bd3ab6fe8c0874d9821b8e2f2768778866c9076a1fd48c9aa474 +oid sha256:160ed155d0030320e044c246defa99a39be9fd0861517936e2a48a128fcaeac2 size 101310022 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt index 1808c18db742bac0b16c702a1536d69139ddaea0..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0012 -F0.5-Score: 0.9990 +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_Round5/confusion_matrix.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 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/testing_metrics.txt b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/testing_metrics.txt index 66957651df93bd8d1b62ee8d8ef372d81dc31dbe..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/testing_metrics.txt +++ b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0012 +loss: 0.0000 diff --git a/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_accuracy.png b/ResNet50/HELMINTHS_BINARY_ResNet50_Round5/training_accuracy.png index 96db32e262ead39ac9e6e40c1d881acf674b435d..f576a14bcb8d1938ec0abba203f3399752e504a2 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 ae2d9cfcda5d8ef085ce8e7f536547a0b3872b02..80a3612afae82c8ce2edc1e419bbabddbd154952 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 94efffec69fee4d40e3b2fe259283477390a0706..6d51e33e83615a8e0517a03eb3b8eb98cd756cc0 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: 0.9851 - Validation Accuracy: 0.9957 - Training Loss: 0.0455 - Validation Loss: 0.0109 + Training Accuracy: 0.9934 + Validation Accuracy: 1.0000 + Training Loss: 0.0194 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9987 - Training Loss: 0.0074 - Validation Loss: 0.0046 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0015 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9987 - Training Loss: 0.0035 - Validation Loss: 0.0032 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0025 - Validation Loss: 0.0024 + Training Accuracy: 0.9997 + Validation Accuracy: 1.0000 + Training Loss: 0.0009 + Validation Loss: 0.0002 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9997 + Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0018 - Validation Loss: 0.0017 + Training Loss: 0.0003 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9996 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0016 - Validation Loss: 0.0008 + Training Loss: 0.0002 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9997 - Validation Accuracy: 1.0000 - Training Loss: 0.0009 - Validation Loss: 0.0009 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9997 + Training Accuracy: 0.9999 Validation Accuracy: 1.0000 - Training Loss: 0.0009 - Validation Loss: 0.0006 + Training Loss: 0.0003 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0006 - Validation Loss: 0.0022 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9996 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0009 - Validation Loss: 0.0007 + Training Loss: 0.0001 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 11 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0006 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 12 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0002 - Validation Loss: 0.0005 + Training Loss: 0.0001 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0004 - Validation Loss: 0.0007 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0005 - Validation Loss: 0.0007 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 15 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0002 - Validation Loss: 0.0014 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 16 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0006 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 17 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 18 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0010 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 19 Training Accuracy: 1.0000 - Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 20 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 21 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0005 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 22 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 23 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 24 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0003 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 + Validation Accuracy: 1.0000 Training Loss: 0.0001 - Validation Loss: 0.0005 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0007 + Training Accuracy: 1.0000 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 - Training Loss: 0.0001 - Validation Loss: 0.0002 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 Validation Accuracy: 1.0000 Training Loss: 0.0000 - Validation Loss: 0.0002 + Validation Loss: 0.0000 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9999 - Validation Accuracy: 1.0000 - Training Loss: 0.0006 - Validation Loss: 0.0002 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0000 + Validation Loss: 0.0001 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0001 - Validation Loss: 0.0006 + Validation Accuracy: 1.0000 + Training Loss: 0.0000 + Validation Loss: 0.0000 -------------------------------------------------- diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/HELMINTHS_BINARY_VGG19_Round1.keras b/VGG19/HELMINTHS_BINARY_VGG19_Round1/HELMINTHS_BINARY_VGG19_Round1.keras index 1112abedca815574f3f9ae6c44ddb67de57ca04f..674d2e6f0f86229514ed9df3cb9f5f0994ba023b 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round1/HELMINTHS_BINARY_VGG19_Round1.keras +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round1/HELMINTHS_BINARY_VGG19_Round1.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:448df4a49c3e87e7c038c6336f6cf7f59ab9d5fee67d957c3d3eb010d10d73a2 +oid sha256:f8ecc138f6d9cd2fb82d7f0b92537824b1a6cf523959ac144571f09e1f144e26 size 81782090 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/classification_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round1/classification_metrics.txt index 4468a75be2682f548eb8ca19d53573f184a92f41..fe40085203fc50914f80f570e2a15484579e8e46 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round1/classification_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round1/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0028 -F0.5-Score: 0.9990 +MCC: 1.0000 +Cohen's Kappa: 1.0000 +Balanced Accuracy: 1.0000 +Jaccard Index: 1.0000 +Log Loss: 0.0001 +F0.5-Score: 1.0000 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/confusion_matrix.png b/VGG19/HELMINTHS_BINARY_VGG19_Round1/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round1/confusion_matrix.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round1/confusion_matrix.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/roc_curve.png b/VGG19/HELMINTHS_BINARY_VGG19_Round1/roc_curve.png index 45ff221908e013cd54b59a5cc1661fa003afbb92..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round1/roc_curve.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round1/roc_curve.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/testing_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round1/testing_metrics.txt index bb83b4e8b851f582a9af4b7878cd874ed605ba81..b9c0e711b31cc876f775b4abfd457444a9d085f7 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round1/testing_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round1/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0028 +loss: 0.0001 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_accuracy.png b/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_accuracy.png index 8ae55dfb37c10bf2c860853d593157451b409d0a..7db1b0533e737b3b8aeb417e9afb7f06077a3103 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_accuracy.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_accuracy.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_loss.png b/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_loss.png index 913c0b7211cbfba89d7b4fdd12ca345cfe620ac4..c04347014f1a3406bd286a21faf4b28b537ad738 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_loss.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_loss.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_validation_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_validation_metrics.txt index 5b422134d4c179dcf7c3da4b7e0de0bdfe60b90c..c0cec7b76677373d20f3ba9f644e6225b161c988 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_validation_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round1/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9514 - Validation Accuracy: 0.9911 - Training Loss: 0.1530 - Validation Loss: 0.0479 + Training Accuracy: 0.9639 + Validation Accuracy: 0.9972 + Training Loss: 0.1001 + Validation Loss: 0.0091 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9931 - Validation Accuracy: 0.9918 - Training Loss: 0.0285 - Validation Loss: 0.0325 + Training Accuracy: 0.9961 + Validation Accuracy: 0.9990 + Training Loss: 0.0123 + Validation Loss: 0.0038 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9952 - Validation Accuracy: 0.9928 - Training Loss: 0.0171 - Validation Loss: 0.0227 + Training Accuracy: 0.9984 + Validation Accuracy: 0.9996 + Training Loss: 0.0060 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9968 - Validation Accuracy: 0.9948 - Training Loss: 0.0114 - Validation Loss: 0.0151 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9996 + Training Loss: 0.0046 + Validation Loss: 0.0019 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9970 - Validation Accuracy: 0.9954 - Training Loss: 0.0086 - Validation Loss: 0.0132 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9997 + Training Loss: 0.0032 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9961 - Training Loss: 0.0070 - Validation Loss: 0.0108 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0023 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9961 - Training Loss: 0.0056 - Validation Loss: 0.0086 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0014 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9964 - Training Loss: 0.0045 - Validation Loss: 0.0073 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0011 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9987 - Validation Accuracy: 0.9964 - Training Loss: 0.0051 - Validation Loss: 0.0075 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9974 - Training Loss: 0.0037 - Validation Loss: 0.0050 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0013 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9984 - Training Loss: 0.0024 - Validation Loss: 0.0054 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0006 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9977 - Training Loss: 0.0019 - Validation Loss: 0.0062 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0006 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9974 - Training Loss: 0.0023 - Validation Loss: 0.0067 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0006 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9993 - Training Loss: 0.0021 - Validation Loss: 0.0040 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9999 + Training Loss: 0.0009 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9987 - Training Loss: 0.0020 - Validation Loss: 0.0047 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9987 - Training Loss: 0.0020 - Validation Loss: 0.0041 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0006 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9993 - Training Loss: 0.0019 - Validation Loss: 0.0035 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9998 + Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0011 - Validation Loss: 0.0026 + Training Loss: 0.0003 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9987 - Training Loss: 0.0020 - Validation Loss: 0.0044 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0005 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0011 - Validation Loss: 0.0035 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 21 Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0033 + Training Loss: 0.0002 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9997 + Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0028 + Training Loss: 0.0004 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0007 - Validation Loss: 0.0037 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 24 Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0006 - Validation Loss: 0.0040 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0005 - Validation Loss: 0.0029 + Validation Accuracy: 0.9996 + Training Loss: 0.0002 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 26 Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0007 - Validation Loss: 0.0031 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 27 Training Accuracy: 1.0000 Validation Accuracy: 0.9997 - Training Loss: 0.0004 - Validation Loss: 0.0028 + Training Loss: 0.0001 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 28 Training Accuracy: 1.0000 - Validation Accuracy: 0.9990 - Training Loss: 0.0002 - Validation Loss: 0.0043 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9993 - Training Loss: 0.0012 - Validation Loss: 0.0031 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0003 - Validation Loss: 0.0040 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0014 -------------------------------------------------- diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round2/HELMINTHS_BINARY_VGG19_Round2.keras b/VGG19/HELMINTHS_BINARY_VGG19_Round2/HELMINTHS_BINARY_VGG19_Round2.keras index 6b50726ab72480052661ce0936e8c39a7f816904..12fad129c9b6a869756b7a9b1bc27de798996bf7 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round2/HELMINTHS_BINARY_VGG19_Round2.keras +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round2/HELMINTHS_BINARY_VGG19_Round2.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:cceca2799d005ac26b5784d2fc59825b9ff8e2932ca93f42ef04e39d07cf6629 +oid sha256:e001a75a6bc6d56cfc13b475e5f04de684eaf9b1c6fcf6d7b8e50d6f762436f4 size 81782090 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round2/classification_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round2/classification_metrics.txt index 87198af249ce76e9881e6ed669bf2deacc22558f..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round2/classification_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round2/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0053 -F0.5-Score: 0.9990 +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/VGG19/HELMINTHS_BINARY_VGG19_Round2/confusion_matrix.png b/VGG19/HELMINTHS_BINARY_VGG19_Round2/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round2/confusion_matrix.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round2/confusion_matrix.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round2/roc_curve.png b/VGG19/HELMINTHS_BINARY_VGG19_Round2/roc_curve.png index e5e137e7940d690f9668aee1966aee084adfaf81..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round2/roc_curve.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round2/roc_curve.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round2/testing_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round2/testing_metrics.txt index 7e81c3f318d982293639b5c3f29c099c0627ff4d..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round2/testing_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round2/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 -auc: 0.9976 -loss: 0.0053 +accuracy: 1.0000 +auc: 1.0000 +loss: 0.0000 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_accuracy.png b/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_accuracy.png index db17bfe85a954443e63f9d1bf919f6f1ffc01081..0720e05143d5321568f27ba0a994ac091fc01e1d 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_accuracy.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_accuracy.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_loss.png b/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_loss.png index 31a4aee4e831022c36f45a7344614baf39b15999..0b98f83e31a22103ddd0e557b5df3c3fb6a030ae 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_loss.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_loss.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_validation_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_validation_metrics.txt index 037255004a588b3da8596cf66e921653b868b420..74c4c615fa7282686e40e61de1fece83e924197c 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_validation_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round2/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9404 - Validation Accuracy: 0.9908 - Training Loss: 0.1951 - Validation Loss: 0.0487 + Training Accuracy: 0.9599 + Validation Accuracy: 0.9960 + Training Loss: 0.1215 + Validation Loss: 0.0106 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9925 - Validation Accuracy: 0.9921 - Training Loss: 0.0312 - Validation Loss: 0.0414 + Training Accuracy: 0.9955 + Validation Accuracy: 0.9994 + Training Loss: 0.0134 + Validation Loss: 0.0038 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9938 - Validation Accuracy: 0.9921 - Training Loss: 0.0214 - Validation Loss: 0.0325 + Training Accuracy: 0.9973 + Validation Accuracy: 0.9989 + Training Loss: 0.0078 + Validation Loss: 0.0038 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9953 - Validation Accuracy: 0.9928 - Training Loss: 0.0152 - Validation Loss: 0.0259 + Training Accuracy: 0.9989 + Validation Accuracy: 0.9992 + Training Loss: 0.0041 + Validation Loss: 0.0024 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9967 - Validation Accuracy: 0.9934 - Training Loss: 0.0094 - Validation Loss: 0.0204 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9996 + Training Loss: 0.0030 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9969 - Validation Accuracy: 0.9944 - Training Loss: 0.0089 - Validation Loss: 0.0172 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9995 + Training Loss: 0.0023 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9948 - Training Loss: 0.0059 - Validation Loss: 0.0148 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0022 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9982 - Validation Accuracy: 0.9951 - Training Loss: 0.0057 - Validation Loss: 0.0122 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0017 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9985 - Validation Accuracy: 0.9951 - Training Loss: 0.0038 - Validation Loss: 0.0139 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9996 + Training Loss: 0.0011 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9967 - Training Loss: 0.0039 - Validation Loss: 0.0112 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9992 + Training Loss: 0.0010 + Validation Loss: 0.0025 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9961 - Training Loss: 0.0033 - Validation Loss: 0.0110 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9970 - Training Loss: 0.0035 - Validation Loss: 0.0098 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9964 - Training Loss: 0.0025 - Validation Loss: 0.0091 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9992 - Validation Accuracy: 0.9970 - Training Loss: 0.0028 - Validation Loss: 0.0116 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9984 - Training Loss: 0.0017 - Validation Loss: 0.0070 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9980 - Training Loss: 0.0023 - Validation Loss: 0.0081 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0005 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9987 - Training Loss: 0.0020 - Validation Loss: 0.0051 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9987 - Training Loss: 0.0012 - Validation Loss: 0.0054 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0003 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9984 - Training Loss: 0.0020 - Validation Loss: 0.0057 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9994 + Training Loss: 0.0005 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9987 - Training Loss: 0.0008 - Validation Loss: 0.0052 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0006 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 21 Training Accuracy: 0.9999 - Validation Accuracy: 0.9984 - Training Loss: 0.0009 - Validation Loss: 0.0046 + Validation Accuracy: 0.9995 + Training Loss: 0.0003 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9984 - Training Loss: 0.0010 - Validation Loss: 0.0058 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9996 + Training Loss: 0.0002 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9993 - Training Loss: 0.0011 - Validation Loss: 0.0036 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 24 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9984 - Training Loss: 0.0006 - Validation Loss: 0.0059 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 25 Training Accuracy: 0.9999 - Validation Accuracy: 0.9980 - Training Loss: 0.0008 - Validation Loss: 0.0060 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 26 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9987 - Training Loss: 0.0004 - Validation Loss: 0.0058 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0040 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9993 - Training Loss: 0.0006 - Validation Loss: 0.0038 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0002 - Validation Loss: 0.0045 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 30 Training Accuracy: 1.0000 - Validation Accuracy: 0.9990 - Training Loss: 0.0004 - Validation Loss: 0.0053 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0007 -------------------------------------------------- diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round3/HELMINTHS_BINARY_VGG19_Round3.keras b/VGG19/HELMINTHS_BINARY_VGG19_Round3/HELMINTHS_BINARY_VGG19_Round3.keras index 43d7a560f5ba63b6109eaffa8324de47bdc56427..bd7dc2ee9b5b690ce577db82084afb9e3bd45186 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round3/HELMINTHS_BINARY_VGG19_Round3.keras +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round3/HELMINTHS_BINARY_VGG19_Round3.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:243157d8ad0050126e2d1c5dc9135c25ccac346e9c8113af6ae009b9c814d9f9 +oid sha256:547654b07149d8168ce304d9cecbeed92fd84f8a029dd08b7e91eb20af84e51f size 81782090 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round3/classification_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round3/classification_metrics.txt index fd72f2d996b45eb7886810a888c5c34842027136..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round3/classification_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round3/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0030 -F0.5-Score: 0.9990 +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/VGG19/HELMINTHS_BINARY_VGG19_Round3/confusion_matrix.png b/VGG19/HELMINTHS_BINARY_VGG19_Round3/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round3/confusion_matrix.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round3/confusion_matrix.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round3/roc_curve.png b/VGG19/HELMINTHS_BINARY_VGG19_Round3/roc_curve.png index 45ff221908e013cd54b59a5cc1661fa003afbb92..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round3/roc_curve.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round3/roc_curve.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round3/testing_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round3/testing_metrics.txt index ff1ee334f8dc416f916c80d64bcb8a48e3de7af0..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round3/testing_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round3/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0030 +loss: 0.0000 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_accuracy.png b/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_accuracy.png index 0193ddbf6cac526c91dd6b8c8caee8bbd68f2ba1..298f4ab7b106a26310306afef8b43b4b191a7cf0 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_accuracy.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_accuracy.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_loss.png b/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_loss.png index 06eb4eb81f1412424004c09f8e2e8671f0c64f4d..b5f00da91ea8bafbf017f269b6cceadfdbb3bb8e 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_loss.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_loss.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_validation_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_validation_metrics.txt index 75f5766730c537de3864faf86c5acf12dd5f346e..82cefa45efaef5e1daf8c7dc913788cc587aa81f 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_validation_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round3/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9536 - Validation Accuracy: 0.9918 - Training Loss: 0.1654 - Validation Loss: 0.0435 + Training Accuracy: 0.9640 + Validation Accuracy: 0.9966 + Training Loss: 0.1056 + Validation Loss: 0.0105 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9928 - Validation Accuracy: 0.9934 - Training Loss: 0.0293 - Validation Loss: 0.0308 + Training Accuracy: 0.9956 + Validation Accuracy: 0.9992 + Training Loss: 0.0139 + Validation Loss: 0.0050 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9938 - Validation Accuracy: 0.9928 - Training Loss: 0.0207 - Validation Loss: 0.0251 + Training Accuracy: 0.9977 + Validation Accuracy: 0.9994 + Training Loss: 0.0069 + Validation Loss: 0.0029 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9965 - Validation Accuracy: 0.9931 - Training Loss: 0.0126 - Validation Loss: 0.0175 + Training Accuracy: 0.9986 + Validation Accuracy: 0.9997 + Training Loss: 0.0049 + Validation Loss: 0.0022 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9973 - Validation Accuracy: 0.9951 - Training Loss: 0.0083 - Validation Loss: 0.0132 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0027 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9948 - Training Loss: 0.0062 - Validation Loss: 0.0130 + Training Accuracy: 0.9992 + Validation Accuracy: 0.9997 + Training Loss: 0.0024 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9967 - Training Loss: 0.0059 - Validation Loss: 0.0096 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9994 + Training Loss: 0.0018 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9967 - Training Loss: 0.0058 - Validation Loss: 0.0085 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0012 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9980 - Training Loss: 0.0033 - Validation Loss: 0.0064 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9977 - Training Loss: 0.0034 - Validation Loss: 0.0069 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0011 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9990 - Training Loss: 0.0023 - Validation Loss: 0.0048 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0009 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0027 - Validation Loss: 0.0047 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0023 - Validation Loss: 0.0058 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9984 - Training Loss: 0.0024 - Validation Loss: 0.0049 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9993 - Training Loss: 0.0016 - Validation Loss: 0.0038 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0013 - Validation Loss: 0.0044 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9993 - Training Loss: 0.0019 - Validation Loss: 0.0040 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0006 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0011 - Validation Loss: 0.0043 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0012 - Validation Loss: 0.0043 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9999 + Training Accuracy: 1.0000 Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0041 + Training Loss: 0.0003 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9980 - Training Loss: 0.0018 - Validation Loss: 0.0064 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9995 + Training Loss: 0.0002 + Validation Loss: 0.0016 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9993 - Training Loss: 0.0007 - Validation Loss: 0.0037 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 23 Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 - Training Loss: 0.0008 - Validation Loss: 0.0040 + Validation Accuracy: 0.9996 + Training Loss: 0.0002 + Validation Loss: 0.0020 -------------------------------------------------- Epoch 24 Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0009 - Validation Loss: 0.0022 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 25 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 Training Loss: 0.0005 - Validation Loss: 0.0025 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9997 - Training Loss: 0.0019 - Validation Loss: 0.0028 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 27 - Training Accuracy: 1.0000 - Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0030 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9996 + Training Loss: 0.0002 + Validation Loss: 0.0015 -------------------------------------------------- Epoch 28 Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0004 - Validation Loss: 0.0023 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 29 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0004 - Validation Loss: 0.0031 + Validation Accuracy: 0.9999 + Training Loss: 0.0001 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0005 - Validation Loss: 0.0027 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0007 -------------------------------------------------- diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/HELMINTHS_BINARY_VGG19_Round4.keras b/VGG19/HELMINTHS_BINARY_VGG19_Round4/HELMINTHS_BINARY_VGG19_Round4.keras index a48db0d5c8aec488153eb30bb04d8a861fa41d77..1c010847e5cf8621266ec6425641811379fcc1dd 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round4/HELMINTHS_BINARY_VGG19_Round4.keras +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round4/HELMINTHS_BINARY_VGG19_Round4.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:9965c4cbda44e295f8306218d277b4962451c51b315e6ce65184dab91f3ccb2c +oid sha256:a5db9be8a00ce85bf3494a7992049d556b4bd49d116394a41f359b98ead68262 size 81782090 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/classification_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round4/classification_metrics.txt index fd72f2d996b45eb7886810a888c5c34842027136..fe40085203fc50914f80f570e2a15484579e8e46 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round4/classification_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round4/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0030 -F0.5-Score: 0.9990 +MCC: 1.0000 +Cohen's Kappa: 1.0000 +Balanced Accuracy: 1.0000 +Jaccard Index: 1.0000 +Log Loss: 0.0001 +F0.5-Score: 1.0000 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/confusion_matrix.png b/VGG19/HELMINTHS_BINARY_VGG19_Round4/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round4/confusion_matrix.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round4/confusion_matrix.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/roc_curve.png b/VGG19/HELMINTHS_BINARY_VGG19_Round4/roc_curve.png index 45ff221908e013cd54b59a5cc1661fa003afbb92..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round4/roc_curve.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round4/roc_curve.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/testing_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round4/testing_metrics.txt index ff1ee334f8dc416f916c80d64bcb8a48e3de7af0..b9c0e711b31cc876f775b4abfd457444a9d085f7 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round4/testing_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round4/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0030 +loss: 0.0001 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_accuracy.png b/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_accuracy.png index c69be5bc4539164b0922b3bcc41c611d27f4f814..3ce5002d0fba606a8656dfcdcf2965327a16708b 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_accuracy.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_accuracy.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_loss.png b/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_loss.png index f63f92ffe8dbfe019656771b40f5f09558a85302..aa0f1fd285fdbdf832b7c31aca0c907d56199ccc 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_loss.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_loss.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_validation_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_validation_metrics.txt index 06ad6eec3e7015c1254f1051512b728c25a33002..b07dce854ab99a7fac65206cb1be8b4a3903cbf9 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_validation_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round4/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9600 - Validation Accuracy: 0.9925 - Training Loss: 0.1305 - Validation Loss: 0.0389 + Training Accuracy: 0.9571 + Validation Accuracy: 0.9965 + Training Loss: 0.1437 + Validation Loss: 0.0102 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9935 - Validation Accuracy: 0.9928 - Training Loss: 0.0277 - Validation Loss: 0.0277 + Training Accuracy: 0.9956 + Validation Accuracy: 0.9995 + Training Loss: 0.0136 + Validation Loss: 0.0033 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9949 - Validation Accuracy: 0.9948 - Training Loss: 0.0181 - Validation Loss: 0.0160 + Training Accuracy: 0.9982 + Validation Accuracy: 0.9994 + Training Loss: 0.0068 + Validation Loss: 0.0034 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9969 - Validation Accuracy: 0.9944 - Training Loss: 0.0117 - Validation Loss: 0.0145 + Training Accuracy: 0.9988 + Validation Accuracy: 0.9996 + Training Loss: 0.0042 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9948 - Training Loss: 0.0073 - Validation Loss: 0.0140 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9996 + Training Loss: 0.0031 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9973 - Validation Accuracy: 0.9961 - Training Loss: 0.0072 - Validation Loss: 0.0107 + Training Accuracy: 0.9991 + Validation Accuracy: 0.9997 + Training Loss: 0.0027 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9981 - Validation Accuracy: 0.9974 - Training Loss: 0.0066 - Validation Loss: 0.0083 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0015 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9977 - Training Loss: 0.0036 - Validation Loss: 0.0074 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0015 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9988 - Validation Accuracy: 0.9984 - Training Loss: 0.0035 - Validation Loss: 0.0075 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9989 - Validation Accuracy: 0.9984 - Training Loss: 0.0034 - Validation Loss: 0.0060 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9994 - Validation Accuracy: 0.9984 - Training Loss: 0.0023 - Validation Loss: 0.0077 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0009 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9990 - Training Loss: 0.0028 - Validation Loss: 0.0054 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0008 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 13 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9961 - Training Loss: 0.0020 - Validation Loss: 0.0103 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9996 + Training Loss: 0.0010 + Validation Loss: 0.0021 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9993 - Validation Accuracy: 0.9990 - Training Loss: 0.0019 - Validation Loss: 0.0052 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 15 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0014 - Validation Loss: 0.0051 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9990 - Training Loss: 0.0015 - Validation Loss: 0.0056 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0007 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 17 Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0009 - Validation Loss: 0.0043 + Validation Accuracy: 0.9996 + Training Loss: 0.0004 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9990 - Training Loss: 0.0020 - Validation Loss: 0.0064 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9987 - Training Loss: 0.0011 - Validation Loss: 0.0062 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 20 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9977 - Training Loss: 0.0010 - Validation Loss: 0.0066 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 21 Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0007 - Validation Loss: 0.0042 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 22 Training Accuracy: 0.9998 - Validation Accuracy: 0.9990 - Training Loss: 0.0007 - Validation Loss: 0.0055 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9998 + Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0030 + Training Loss: 0.0003 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 24 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9977 - Training Loss: 0.0008 - Validation Loss: 0.0067 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0003 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 - Validation Accuracy: 0.9990 - Training Loss: 0.0004 - Validation Loss: 0.0043 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 26 Training Accuracy: 1.0000 - Validation Accuracy: 0.9993 - Training Loss: 0.0004 - Validation Loss: 0.0031 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9993 - Training Loss: 0.0007 - Validation Loss: 0.0048 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9993 - Training Loss: 0.0008 - Validation Loss: 0.0047 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9990 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9999 Training Loss: 0.0004 - Validation Loss: 0.0041 + Validation Loss: 0.0005 -------------------------------------------------- Epoch 30 - Training Accuracy: 0.9996 + Training Accuracy: 0.9998 Validation Accuracy: 0.9997 - Training Loss: 0.0009 - Validation Loss: 0.0027 + Training Loss: 0.0005 + Validation Loss: 0.0013 -------------------------------------------------- diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round5/HELMINTHS_BINARY_VGG19_Round5.keras b/VGG19/HELMINTHS_BINARY_VGG19_Round5/HELMINTHS_BINARY_VGG19_Round5.keras index eb058ac7c1f02da8bf81a63eeb4d40dcff2c057e..291eaae99cbb87f3bff2f32b0cea3e6efea20aac 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round5/HELMINTHS_BINARY_VGG19_Round5.keras +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round5/HELMINTHS_BINARY_VGG19_Round5.keras @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:7927adcbb5f5eaf0e91190be01adcea9a3987d6cb3528cfbec74f197da389ca1 +oid sha256:12733250350c9aeed3a004c422ca5a2cc4eb2ffa78227972234970a7011caecf size 81782090 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round5/classification_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round5/classification_metrics.txt index 8228df62d43ac11b23b3fdcb1d3710b3a3963873..1a404a9b3b956e3b672634e8298a648d3d58e89d 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round5/classification_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round5/classification_metrics.txt @@ -1,12 +1,12 @@ Precision: 1.0000 -Recall: 0.9951 -Sensitivity: 0.9951 +Recall: 1.0000 +Sensitivity: 1.0000 Specificity: 1.0000 -F1-Score: 0.9976 +F1-Score: 1.0000 AUC: 1.0000 -MCC: 0.9972 -Cohen's Kappa: 0.9972 -Balanced Accuracy: 0.9976 -Jaccard Index: 0.9951 -Log Loss: 0.0018 -F0.5-Score: 0.9990 +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/VGG19/HELMINTHS_BINARY_VGG19_Round5/confusion_matrix.png b/VGG19/HELMINTHS_BINARY_VGG19_Round5/confusion_matrix.png index 739980171e24233be2e0026846d17e3595e5d312..f0feb0396a1f1c7619f5cb41b7b1c04c614afb02 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round5/confusion_matrix.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round5/confusion_matrix.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round5/roc_curve.png b/VGG19/HELMINTHS_BINARY_VGG19_Round5/roc_curve.png index 45ff221908e013cd54b59a5cc1661fa003afbb92..36e7da7c44fd35c6265775f18067784243763ecf 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round5/roc_curve.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round5/roc_curve.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round5/testing_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round5/testing_metrics.txt index f84db055a8c65f430107e229ac9fb063c849eeab..ca3b8f50d3d99e9356d7c8a58b5fd7ab5ba04b46 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round5/testing_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round5/testing_metrics.txt @@ -1,3 +1,3 @@ -accuracy: 0.9993 +accuracy: 1.0000 auc: 1.0000 -loss: 0.0018 +loss: 0.0000 diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_accuracy.png b/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_accuracy.png index 0ace902089fd2bde3c3133be080442381dd4ba0d..ef1780b704c8a2aa4294e2fd0a052ceb8adbc5ad 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_accuracy.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_accuracy.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_loss.png b/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_loss.png index e722faf7e25de80d396125d9a34fa8101761e702..972b912ae9246074bff64e4958fdea57c2156c81 100644 Binary files a/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_loss.png and b/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_loss.png differ diff --git a/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_validation_metrics.txt b/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_validation_metrics.txt index 32516e1ff7ad84983474a6e3b264b30c1f1ebefe..450c93d3b15af8733ba00c3c68f9961d528e42f2 100644 --- a/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_validation_metrics.txt +++ b/VGG19/HELMINTHS_BINARY_VGG19_Round5/training_validation_metrics.txt @@ -1,182 +1,182 @@ Training and Validation Metrics Per Epoch ================================================== Epoch 1 - Training Accuracy: 0.9573 - Validation Accuracy: 0.9931 - Training Loss: 0.1482 - Validation Loss: 0.0431 + Training Accuracy: 0.9697 + Validation Accuracy: 0.9979 + Training Loss: 0.0873 + Validation Loss: 0.0085 -------------------------------------------------- Epoch 2 - Training Accuracy: 0.9929 - Validation Accuracy: 0.9931 - Training Loss: 0.0284 - Validation Loss: 0.0313 + Training Accuracy: 0.9962 + Validation Accuracy: 0.9994 + Training Loss: 0.0116 + Validation Loss: 0.0040 -------------------------------------------------- Epoch 3 - Training Accuracy: 0.9950 - Validation Accuracy: 0.9934 - Training Loss: 0.0178 - Validation Loss: 0.0206 + Training Accuracy: 0.9978 + Validation Accuracy: 0.9996 + Training Loss: 0.0067 + Validation Loss: 0.0030 -------------------------------------------------- Epoch 4 - Training Accuracy: 0.9961 - Validation Accuracy: 0.9941 - Training Loss: 0.0124 - Validation Loss: 0.0162 + Training Accuracy: 0.9987 + Validation Accuracy: 0.9997 + Training Loss: 0.0043 + Validation Loss: 0.0018 -------------------------------------------------- Epoch 5 - Training Accuracy: 0.9978 - Validation Accuracy: 0.9957 - Training Loss: 0.0081 - Validation Loss: 0.0110 + Training Accuracy: 0.9994 + Validation Accuracy: 0.9997 + Training Loss: 0.0025 + Validation Loss: 0.0014 -------------------------------------------------- Epoch 6 - Training Accuracy: 0.9979 - Validation Accuracy: 0.9967 - Training Loss: 0.0069 - Validation Loss: 0.0084 + Training Accuracy: 0.9993 + Validation Accuracy: 0.9996 + Training Loss: 0.0024 + Validation Loss: 0.0023 -------------------------------------------------- Epoch 7 - Training Accuracy: 0.9983 - Validation Accuracy: 0.9980 - Training Loss: 0.0051 - Validation Loss: 0.0065 + Training Accuracy: 0.9995 + Validation Accuracy: 0.9997 + Training Loss: 0.0017 + Validation Loss: 0.0012 -------------------------------------------------- Epoch 8 - Training Accuracy: 0.9991 - Validation Accuracy: 0.9977 - Training Loss: 0.0040 - Validation Loss: 0.0069 + Training Accuracy: 0.9996 + Validation Accuracy: 0.9997 + Training Loss: 0.0014 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 9 - Training Accuracy: 0.9986 - Validation Accuracy: 0.9987 - Training Loss: 0.0043 - Validation Loss: 0.0045 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9995 + Training Loss: 0.0008 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 10 - Training Accuracy: 0.9990 - Validation Accuracy: 0.9987 - Training Loss: 0.0034 - Validation Loss: 0.0038 + Training Accuracy: 0.9997 + Validation Accuracy: 0.9997 + Training Loss: 0.0010 + Validation Loss: 0.0011 -------------------------------------------------- Epoch 11 - Training Accuracy: 0.9995 - Validation Accuracy: 0.9987 - Training Loss: 0.0023 - Validation Loss: 0.0048 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0008 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 12 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9987 - Training Loss: 0.0022 - Validation Loss: 0.0036 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0004 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 13 Training Accuracy: 0.9997 Validation Accuracy: 0.9997 - Training Loss: 0.0017 - Validation Loss: 0.0026 + Training Loss: 0.0008 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 14 - Training Accuracy: 0.9998 + Training Accuracy: 0.9997 Validation Accuracy: 0.9997 - Training Loss: 0.0013 - Validation Loss: 0.0028 + Training Loss: 0.0007 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 15 Training Accuracy: 0.9998 - Validation Accuracy: 0.9993 - Training Loss: 0.0013 - Validation Loss: 0.0033 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 16 - Training Accuracy: 0.9997 - Validation Accuracy: 0.9990 - Training Loss: 0.0015 - Validation Loss: 0.0049 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0002 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 17 - Training Accuracy: 0.9996 + Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0010 - Validation Loss: 0.0028 + Training Loss: 0.0006 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 18 - Training Accuracy: 0.9994 + Training Accuracy: 0.9998 Validation Accuracy: 0.9997 - Training Loss: 0.0017 - Validation Loss: 0.0026 + Training Loss: 0.0005 + Validation Loss: 0.0004 -------------------------------------------------- Epoch 19 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9993 - Training Loss: 0.0007 - Validation Loss: 0.0034 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0005 + Validation Loss: 0.0008 -------------------------------------------------- Epoch 20 Training Accuracy: 0.9998 - Validation Accuracy: 0.9997 - Training Loss: 0.0010 - Validation Loss: 0.0020 + Validation Accuracy: 0.9999 + Training Loss: 0.0006 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 21 - Training Accuracy: 0.9997 + Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0010 - Validation Loss: 0.0027 + Training Loss: 0.0003 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 22 - Training Accuracy: 0.9996 - Validation Accuracy: 0.9993 - Training Loss: 0.0009 - Validation Loss: 0.0031 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 23 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9993 - Training Loss: 0.0011 - Validation Loss: 0.0033 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9997 + Training Loss: 0.0003 + Validation Loss: 0.0007 -------------------------------------------------- Epoch 24 Training Accuracy: 0.9999 - Validation Accuracy: 0.9997 - Training Loss: 0.0006 - Validation Loss: 0.0033 + Validation Accuracy: 0.9999 + Training Loss: 0.0004 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 25 Training Accuracy: 1.0000 Validation Accuracy: 0.9997 - Training Loss: 0.0003 - Validation Loss: 0.0027 + Training Loss: 0.0002 + Validation Loss: 0.0010 -------------------------------------------------- Epoch 26 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9993 - Training Loss: 0.0005 - Validation Loss: 0.0042 + Training Accuracy: 1.0000 + Validation Accuracy: 0.9997 + Training Loss: 0.0001 + Validation Loss: 0.0017 -------------------------------------------------- Epoch 27 - Training Accuracy: 0.9998 - Validation Accuracy: 0.9993 - Training Loss: 0.0005 - Validation Loss: 0.0027 + Training Accuracy: 0.9999 + Validation Accuracy: 0.9999 + Training Loss: 0.0002 + Validation Loss: 0.0013 -------------------------------------------------- Epoch 28 - Training Accuracy: 0.9997 + Training Accuracy: 0.9999 Validation Accuracy: 0.9997 - Training Loss: 0.0007 - Validation Loss: 0.0031 + Training Loss: 0.0002 + Validation Loss: 0.0009 -------------------------------------------------- Epoch 29 - Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0007 - Validation Loss: 0.0027 + Training Accuracy: 0.9998 + Validation Accuracy: 0.9999 + Training Loss: 0.0004 + Validation Loss: 0.0006 -------------------------------------------------- Epoch 30 Training Accuracy: 0.9999 - Validation Accuracy: 0.9993 - Training Loss: 0.0005 - Validation Loss: 0.0025 + Validation Accuracy: 0.9999 + Training Loss: 0.0003 + Validation Loss: 0.0007 --------------------------------------------------