Upload folder using huggingface_hub

MobileNetV2/BINARY_MobileNetV2_Round1/BINARY_MobileNetV2_Round1.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf0fe94a01745607d6086934f07f2c9601faac487a8919a3922581af199d442f
-size 13561499
+oid sha256:58b0061cc274d63846679fcf6d685b94bd78aeb558c925e6bd62ed7e033c6bf0
+size 13565098

MobileNetV2/BINARY_MobileNetV2_Round1/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9984
-Recall: 1.0000
-Sensitivity: 1.0000
-Specificity: 0.9984
+Precision: 1.0000
+Recall: 0.9985
+Sensitivity: 0.9985
+Specificity: 1.0000
 F1-Score: 0.9992
 AUC: 1.0000
-MCC: 0.9984
-Cohen's Kappa: 0.9984
+MCC: 0.9985
+Cohen's Kappa: 0.9985
 Balanced Accuracy: 0.9992
-Jaccard Index: 0.9984
+Jaccard Index: 0.9985
 Log Loss: 0.0026
-F0.5-Score: 0.9987
+F0.5-Score: 0.9997

MobileNetV2/BINARY_MobileNetV2_Round1/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9715
-  Validation Accuracy: 0.9934
-  Training Loss: 0.0797
-  Validation Loss: 0.0216
+  Training Accuracy: 0.9731
+  Validation Accuracy: 0.9955
+  Training Loss: 0.0740
+  Validation Loss: 0.0179
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9962
-  Validation Accuracy: 0.9940
-  Training Loss: 0.0152
-  Validation Loss: 0.0156
+  Training Accuracy: 0.9953
+  Validation Accuracy: 0.9957
+  Training Loss: 0.0153
+  Validation Loss: 0.0137
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9974
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0087
-  Validation Loss: 0.0098
+  Training Accuracy: 0.9968
+  Validation Accuracy: 0.9941
+  Training Loss: 0.0112
+  Validation Loss: 0.0174
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9974
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0079
-  Validation Loss: 0.0065
+  Training Accuracy: 0.9973
+  Validation Accuracy: 0.9984
+  Training Loss: 0.0088
+  Validation Loss: 0.0061
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9981
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0065
-  Validation Loss: 0.0069
+  Training Accuracy: 0.9978
+  Validation Accuracy: 0.9967
+  Training Loss: 0.0071
+  Validation Loss: 0.0108
 --------------------------------------------------
 Epoch 6
-  Training Accuracy: 0.9986
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0050
-  Validation Loss: 0.0065
+  Training Accuracy: 0.9984
+  Validation Accuracy: 0.9978
+  Training Loss: 0.0055
+  Validation Loss: 0.0072
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0038
-  Validation Loss: 0.0054
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9955
+  Training Loss: 0.0048
+  Validation Loss: 0.0129
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0035
-  Validation Loss: 0.0059
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9971
+  Training Loss: 0.0044
+  Validation Loss: 0.0102
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0028
-  Validation Loss: 0.0053
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0043
+  Validation Loss: 0.0104
 --------------------------------------------------
 Epoch 10
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0029
-  Validation Loss: 0.0059
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9977
+  Training Loss: 0.0035
+  Validation Loss: 0.0072
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0028
-  Validation Loss: 0.0067
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9971
+  Training Loss: 0.0026
+  Validation Loss: 0.0088
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0023
-  Validation Loss: 0.0052
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0030
+  Validation Loss: 0.0089
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0016
-  Validation Loss: 0.0049
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9979
+  Training Loss: 0.0025
+  Validation Loss: 0.0076
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0018
-  Validation Loss: 0.0042
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9979
+  Training Loss: 0.0028
+  Validation Loss: 0.0057
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0013
-  Validation Loss: 0.0045
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9968
+  Training Loss: 0.0025
+  Validation Loss: 0.0107
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0010
-  Validation Loss: 0.0040
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0023
+  Validation Loss: 0.0079
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9992
-  Training Loss: 0.0017
-  Validation Loss: 0.0030
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9983
+  Training Loss: 0.0019
+  Validation Loss: 0.0055
 --------------------------------------------------
 Epoch 18
-  Training Accuracy: 0.9997
+  Training Accuracy: 0.9993
   Validation Accuracy: 0.9988
-  Training Loss: 0.0009
-  Validation Loss: 0.0042
+  Training Loss: 0.0024
+  Validation Loss: 0.0029
 --------------------------------------------------
 Epoch 19
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0011
-  Validation Loss: 0.0045
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9979
+  Training Loss: 0.0022
+  Validation Loss: 0.0064
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0012
-  Validation Loss: 0.0052
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9981
+  Training Loss: 0.0021
+  Validation Loss: 0.0057
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0017
-  Validation Loss: 0.0052
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9977
+  Training Loss: 0.0019
+  Validation Loss: 0.0068
 --------------------------------------------------
 Epoch 22
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9986
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9978
   Training Loss: 0.0019
-  Validation Loss: 0.0041
+  Validation Loss: 0.0069
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9984
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9982
   Training Loss: 0.0017
-  Validation Loss: 0.0049
+  Validation Loss: 0.0059
 --------------------------------------------------
 Epoch 24
   Training Accuracy: 0.9994
-  Validation Accuracy: 0.9990
-  Training Loss: 0.0017
-  Validation Loss: 0.0035
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0014
+  Validation Loss: 0.0018
 --------------------------------------------------
 Epoch 25
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0007
-  Validation Loss: 0.0043
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0015
+  Validation Loss: 0.0069
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0008
-  Validation Loss: 0.0051
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9975
+  Training Loss: 0.0016
+  Validation Loss: 0.0082
 --------------------------------------------------
 Epoch 27
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0006
-  Validation Loss: 0.0048
---------------------------------------------------
-Epoch 28
   Training Accuracy: 0.9997
-  Validation Accuracy: 0.9988
+  Validation Accuracy: 0.9979
   Training Loss: 0.0011
-  Validation Loss: 0.0035
+  Validation Loss: 0.0069
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0018
+  Validation Loss: 0.0022
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0007
-  Validation Loss: 0.0060
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0015
+  Validation Loss: 0.0044
 --------------------------------------------------
 Epoch 30
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0005
-  Validation Loss: 0.0050
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0012
+  Validation Loss: 0.0046
 --------------------------------------------------

MobileNetV2/BINARY_MobileNetV2_Round2/BINARY_MobileNetV2_Round2.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4838d0cc7dc3cd0313d1f3f810967faf7f82a24d59faa2e6cc0eea677c37a93b
-size 13561499
+oid sha256:ac7e38c977cf0780a33aca598af4d8c6bab0588c55a3a4eba7439943d6cdccf6
+size 13565098

MobileNetV2/BINARY_MobileNetV2_Round2/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9992
-Recall: 0.9984
-Sensitivity: 0.9984
-Specificity: 0.9992
-F1-Score: 0.9988
+Precision: 1.0000
+Recall: 0.9985
+Sensitivity: 0.9985
+Specificity: 1.0000
+F1-Score: 0.9992
 AUC: 1.0000
-MCC: 0.9976
-Cohen's Kappa: 0.9976
-Balanced Accuracy: 0.9988
-Jaccard Index: 0.9976
-Log Loss: 0.0022
-F0.5-Score: 0.9991
+MCC: 0.9985
+Cohen's Kappa: 0.9985
+Balanced Accuracy: 0.9992
+Jaccard Index: 0.9985
+Log Loss: 0.0017
+F0.5-Score: 0.9997

MobileNetV2/BINARY_MobileNetV2_Round2/testing_metrics.txt

@@ -1,3 +1,3 @@
-accuracy: 0.9988
+accuracy: 0.9992
 auc: 1.0000
-loss: 0.0022
+loss: 0.0017

MobileNetV2/BINARY_MobileNetV2_Round2/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9722
-  Validation Accuracy: 0.9932
-  Training Loss: 0.0819
-  Validation Loss: 0.0210
+  Training Accuracy: 0.9749
+  Validation Accuracy: 0.9928
+  Training Loss: 0.0727
+  Validation Loss: 0.0241
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9959
-  Validation Accuracy: 0.9948
-  Training Loss: 0.0153
-  Validation Loss: 0.0130
+  Training Accuracy: 0.9961
+  Validation Accuracy: 0.9957
+  Training Loss: 0.0151
+  Validation Loss: 0.0132
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9965
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0108
-  Validation Loss: 0.0098
+  Training Accuracy: 0.9968
+  Validation Accuracy: 0.9968
+  Training Loss: 0.0107
+  Validation Loss: 0.0099
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9977
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0085
-  Validation Loss: 0.0081
+  Training Accuracy: 0.9978
+  Validation Accuracy: 0.9963
+  Training Loss: 0.0078
+  Validation Loss: 0.0112
 --------------------------------------------------
 Epoch 5
   Training Accuracy: 0.9981
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0066
-  Validation Loss: 0.0080
+  Validation Accuracy: 0.9980
+  Training Loss: 0.0067
+  Validation Loss: 0.0073
 --------------------------------------------------
 Epoch 6
-  Training Accuracy: 0.9983
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0051
-  Validation Loss: 0.0070
+  Training Accuracy: 0.9982
+  Validation Accuracy: 0.9968
+  Training Loss: 0.0055
+  Validation Loss: 0.0088
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9989
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0044
-  Validation Loss: 0.0053
+  Training Accuracy: 0.9982
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0047
+  Validation Loss: 0.0079
 --------------------------------------------------
 Epoch 8
   Training Accuracy: 0.9988
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0038
-  Validation Loss: 0.0049
+  Validation Accuracy: 0.9967
+  Training Loss: 0.0044
+  Validation Loss: 0.0100
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0028
-  Validation Loss: 0.0070
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9981
+  Training Loss: 0.0041
+  Validation Loss: 0.0047
 --------------------------------------------------
 Epoch 10
-  Training Accuracy: 0.9993
+  Training Accuracy: 0.9990
   Validation Accuracy: 0.9974
-  Training Loss: 0.0029
-  Validation Loss: 0.0065
+  Training Loss: 0.0032
+  Validation Loss: 0.0070
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0018
-  Validation Loss: 0.0051
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0031
+  Validation Loss: 0.0040
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0024
-  Validation Loss: 0.0048
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9980
+  Training Loss: 0.0031
+  Validation Loss: 0.0058
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0019
-  Validation Loss: 0.0044
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0026
+  Validation Loss: 0.0041
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0017
-  Validation Loss: 0.0042
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9978
+  Training Loss: 0.0031
+  Validation Loss: 0.0073
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0017
-  Validation Loss: 0.0063
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9957
+  Training Loss: 0.0027
+  Validation Loss: 0.0136
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0015
-  Validation Loss: 0.0054
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0024
+  Validation Loss: 0.0042
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0014
-  Validation Loss: 0.0040
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0022
+  Validation Loss: 0.0042
 --------------------------------------------------
 Epoch 18
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0013
-  Validation Loss: 0.0056
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0022
+  Validation Loss: 0.0041
 --------------------------------------------------
 Epoch 19
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0008
-  Validation Loss: 0.0059
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0019
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9990
-  Training Loss: 0.0013
-  Validation Loss: 0.0038
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0021
+  Validation Loss: 0.0035
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0014
-  Validation Loss: 0.0049
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0022
+  Validation Loss: 0.0038
 --------------------------------------------------
 Epoch 22
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9990
-  Training Loss: 0.0006
-  Validation Loss: 0.0038
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0018
+  Validation Loss: 0.0033
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0007
-  Validation Loss: 0.0053
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9980
+  Training Loss: 0.0014
+  Validation Loss: 0.0052
 --------------------------------------------------
 Epoch 24
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0009
-  Validation Loss: 0.0049
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0020
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 25
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0008
-  Validation Loss: 0.0054
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9975
+  Training Loss: 0.0020
+  Validation Loss: 0.0079
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 1.0000
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0003
-  Validation Loss: 0.0048
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0017
+  Validation Loss: 0.0041
 --------------------------------------------------
 Epoch 27
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0007
-  Validation Loss: 0.0078
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0018
+  Validation Loss: 0.0020
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0007
-  Validation Loss: 0.0058
+  Training Accuracy: 0.9997
+  Validation Accuracy: 0.9996
+  Training Loss: 0.0011
+  Validation Loss: 0.0013
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0007
-  Validation Loss: 0.0057
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0012
+  Validation Loss: 0.0040
 --------------------------------------------------
 Epoch 30
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0008
-  Validation Loss: 0.0047
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0020
+  Validation Loss: 0.0030
 --------------------------------------------------

MobileNetV2/BINARY_MobileNetV2_Round3/BINARY_MobileNetV2_Round3.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9a3bbba96d3325dad1096013f58f23b700bf9665a64c9e13e24d50c6d5df63ac
-size 13561499
+oid sha256:550b56b35ec6410886a7ca5e9e4c97b18d555c1cfe2059244765edf1cae84515
+size 13565098

MobileNetV2/BINARY_MobileNetV2_Round3/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9976
-Recall: 1.0000
-Sensitivity: 1.0000
-Specificity: 0.9976
+Precision: 1.0000
+Recall: 0.9977
+Sensitivity: 0.9977
+Specificity: 1.0000
 F1-Score: 0.9988
 AUC: 1.0000
-MCC: 0.9976
-Cohen's Kappa: 0.9976
+MCC: 0.9977
+Cohen's Kappa: 0.9977
 Balanced Accuracy: 0.9988
-Jaccard Index: 0.9976
-Log Loss: 0.0047
-F0.5-Score: 0.9981
+Jaccard Index: 0.9977
+Log Loss: 0.0044
+F0.5-Score: 0.9995

MobileNetV2/BINARY_MobileNetV2_Round3/testing_metrics.txt

@@ -1,3 +1,3 @@
 accuracy: 0.9988
 auc: 1.0000
-loss: 0.0047
+loss: 0.0044

MobileNetV2/BINARY_MobileNetV2_Round3/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9706
-  Validation Accuracy: 0.9930
-  Training Loss: 0.0832
-  Validation Loss: 0.0214
+  Training Accuracy: 0.9763
+  Validation Accuracy: 0.9934
+  Training Loss: 0.0727
+  Validation Loss: 0.0217
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9950
-  Validation Accuracy: 0.9936
-  Training Loss: 0.0165
-  Validation Loss: 0.0167
+  Training Accuracy: 0.9956
+  Validation Accuracy: 0.9954
+  Training Loss: 0.0154
+  Validation Loss: 0.0139
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9972
-  Validation Accuracy: 0.9946
-  Training Loss: 0.0102
-  Validation Loss: 0.0136
+  Training Accuracy: 0.9971
+  Validation Accuracy: 0.9953
+  Training Loss: 0.0104
+  Validation Loss: 0.0147
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9978
-  Validation Accuracy: 0.9960
-  Training Loss: 0.0071
-  Validation Loss: 0.0105
+  Training Accuracy: 0.9977
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0081
+  Validation Loss: 0.0084
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9987
-  Validation Accuracy: 0.9968
-  Training Loss: 0.0060
-  Validation Loss: 0.0084
+  Training Accuracy: 0.9979
+  Validation Accuracy: 0.9975
+  Training Loss: 0.0071
+  Validation Loss: 0.0068
 --------------------------------------------------
 Epoch 6
-  Training Accuracy: 0.9981
-  Validation Accuracy: 0.9968
-  Training Loss: 0.0057
-  Validation Loss: 0.0079
+  Training Accuracy: 0.9983
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0054
+  Validation Loss: 0.0064
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9983
-  Validation Accuracy: 0.9968
+  Training Accuracy: 0.9984
+  Validation Accuracy: 0.9964
   Training Loss: 0.0048
-  Validation Loss: 0.0080
+  Validation Loss: 0.0089
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0033
-  Validation Loss: 0.0063
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9973
+  Training Loss: 0.0042
+  Validation Loss: 0.0073
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9988
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0036
-  Validation Loss: 0.0067
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9964
+  Training Loss: 0.0040
+  Validation Loss: 0.0102
 --------------------------------------------------
 Epoch 10
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0018
-  Validation Loss: 0.0058
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0032
+  Validation Loss: 0.0081
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9986
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0033
-  Validation Loss: 0.0048
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0031
+  Validation Loss: 0.0063
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0031
-  Validation Loss: 0.0039
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9967
+  Training Loss: 0.0034
+  Validation Loss: 0.0095
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0017
-  Validation Loss: 0.0055
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0026
+  Validation Loss: 0.0039
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0015
-  Validation Loss: 0.0051
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9980
+  Training Loss: 0.0025
+  Validation Loss: 0.0056
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0011
-  Validation Loss: 0.0067
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9971
+  Training Loss: 0.0026
+  Validation Loss: 0.0084
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0015
-  Validation Loss: 0.0050
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9983
+  Training Loss: 0.0023
+  Validation Loss: 0.0036
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0018
-  Validation Loss: 0.0044
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0021
+  Validation Loss: 0.0034
 --------------------------------------------------
 Epoch 18
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0014
-  Validation Loss: 0.0063
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0021
+  Validation Loss: 0.0024
 --------------------------------------------------
 Epoch 19
   Training Accuracy: 0.9994
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0020
-  Validation Loss: 0.0047
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0022
+  Validation Loss: 0.0066
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0010
-  Validation Loss: 0.0049
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9973
+  Training Loss: 0.0016
+  Validation Loss: 0.0073
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0011
-  Validation Loss: 0.0038
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9979
+  Training Loss: 0.0019
+  Validation Loss: 0.0056
 --------------------------------------------------
 Epoch 22
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0009
-  Validation Loss: 0.0054
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9984
+  Training Loss: 0.0018
+  Validation Loss: 0.0040
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0006
-  Validation Loss: 0.0041
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9963
+  Training Loss: 0.0017
+  Validation Loss: 0.0095
 --------------------------------------------------
 Epoch 24
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0014
-  Validation Loss: 0.0039
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9991
+  Training Loss: 0.0021
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 25
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0007
-  Validation Loss: 0.0047
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0011
+  Validation Loss: 0.0079
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0007
-  Validation Loss: 0.0045
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0015
+  Validation Loss: 0.0041
 --------------------------------------------------
 Epoch 27
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9992
-  Training Loss: 0.0008
-  Validation Loss: 0.0031
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0014
+  Validation Loss: 0.0041
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0005
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0014
   Validation Loss: 0.0073
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0007
-  Validation Loss: 0.0059
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0013
+  Validation Loss: 0.0030
 --------------------------------------------------
 Epoch 30
-  Training Accuracy: 0.9998
+  Training Accuracy: 0.9994
   Validation Accuracy: 0.9978
-  Training Loss: 0.0008
-  Validation Loss: 0.0070
+  Training Loss: 0.0016
+  Validation Loss: 0.0063
 --------------------------------------------------

MobileNetV2/BINARY_MobileNetV2_Round4/BINARY_MobileNetV2_Round4.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:19024e3966ad8c3e7c7478d841394f85c865026b38a7a2a9b66a852de417674f
-size 13561499
+oid sha256:a0c010222cb95a55cbad607269be159ab2e3f80bc385ac6918baff892a16560a
+size 13565098

MobileNetV2/BINARY_MobileNetV2_Round4/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9984
-Recall: 1.0000
-Sensitivity: 1.0000
-Specificity: 0.9984
-F1-Score: 0.9992
+Precision: 1.0000
+Recall: 0.9988
+Sensitivity: 0.9988
+Specificity: 1.0000
+F1-Score: 0.9994
 AUC: 1.0000
-MCC: 0.9984
-Cohen's Kappa: 0.9984
-Balanced Accuracy: 0.9992
-Jaccard Index: 0.9984
-Log Loss: 0.0031
-F0.5-Score: 0.9987
+MCC: 0.9988
+Cohen's Kappa: 0.9988
+Balanced Accuracy: 0.9994
+Jaccard Index: 0.9988
+Log Loss: 0.0015
+F0.5-Score: 0.9998

MobileNetV2/BINARY_MobileNetV2_Round4/testing_metrics.txt

@@ -1,3 +1,3 @@
-accuracy: 0.9992
-auc: 0.9996
-loss: 0.0031
+accuracy: 0.9994
+auc: 1.0000
+loss: 0.0015

MobileNetV2/BINARY_MobileNetV2_Round4/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9697
-  Validation Accuracy: 0.9900
-  Training Loss: 0.0878
-  Validation Loss: 0.0295
+  Training Accuracy: 0.9761
+  Validation Accuracy: 0.9932
+  Training Loss: 0.0704
+  Validation Loss: 0.0223
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9960
-  Validation Accuracy: 0.9944
-  Training Loss: 0.0163
-  Validation Loss: 0.0165
+  Training Accuracy: 0.9955
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0151
+  Validation Loss: 0.0095
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9966
-  Validation Accuracy: 0.9956
-  Training Loss: 0.0112
-  Validation Loss: 0.0121
+  Training Accuracy: 0.9967
+  Validation Accuracy: 0.9979
+  Training Loss: 0.0104
+  Validation Loss: 0.0063
 --------------------------------------------------
 Epoch 4
   Training Accuracy: 0.9977
-  Validation Accuracy: 0.9952
-  Training Loss: 0.0084
-  Validation Loss: 0.0118
+  Validation Accuracy: 0.9981
+  Training Loss: 0.0077
+  Validation Loss: 0.0058
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9982
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0065
-  Validation Loss: 0.0079
+  Training Accuracy: 0.9981
+  Validation Accuracy: 0.9977
+  Training Loss: 0.0067
+  Validation Loss: 0.0072
 --------------------------------------------------
 Epoch 6
   Training Accuracy: 0.9986
-  Validation Accuracy: 0.9958
-  Training Loss: 0.0050
-  Validation Loss: 0.0102
+  Validation Accuracy: 0.9987
+  Training Loss: 0.0054
+  Validation Loss: 0.0046
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9990
-  Validation Accuracy: 0.9962
-  Training Loss: 0.0042
-  Validation Loss: 0.0077
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9988
+  Training Loss: 0.0048
+  Validation Loss: 0.0037
 --------------------------------------------------
 Epoch 8
   Training Accuracy: 0.9989
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0033
-  Validation Loss: 0.0068
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0036
+  Validation Loss: 0.0036
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9985
-  Validation Accuracy: 0.9968
-  Training Loss: 0.0039
-  Validation Loss: 0.0077
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0042
+  Validation Loss: 0.0040
 --------------------------------------------------
 Epoch 10
-  Training Accuracy: 0.9989
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0033
-  Validation Loss: 0.0059
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9993
+  Training Loss: 0.0040
+  Validation Loss: 0.0023
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0028
-  Validation Loss: 0.0044
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0033
+  Validation Loss: 0.0032
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0019
-  Validation Loss: 0.0043
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0030
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0021
-  Validation Loss: 0.0062
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0030
+  Validation Loss: 0.0026
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9996
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0013
-  Validation Loss: 0.0049
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0025
+  Validation Loss: 0.0027
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9995
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0016
-  Validation Loss: 0.0041
---------------------------------------------------
-Epoch 16
   Training Accuracy: 0.9994
-  Validation Accuracy: 0.9988
+  Validation Accuracy: 0.9986
   Training Loss: 0.0018
-  Validation Loss: 0.0041
+  Validation Loss: 0.0039
 --------------------------------------------------
-Epoch 17
+Epoch 16
   Training Accuracy: 0.9993
   Validation Accuracy: 0.9980
-  Training Loss: 0.0021
-  Validation Loss: 0.0051
+  Training Loss: 0.0024
+  Validation Loss: 0.0053
+--------------------------------------------------
+Epoch 17
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0023
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 18
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0012
-  Validation Loss: 0.0042
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0021
+  Validation Loss: 0.0028
 --------------------------------------------------
 Epoch 19
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0010
-  Validation Loss: 0.0044
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0016
+  Validation Loss: 0.0035
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0009
-  Validation Loss: 0.0045
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9990
+  Training Loss: 0.0016
+  Validation Loss: 0.0032
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0009
-  Validation Loss: 0.0060
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9975
+  Training Loss: 0.0021
+  Validation Loss: 0.0062
 --------------------------------------------------
 Epoch 22
-  Training Accuracy: 0.9997
-  Validation Accuracy: 0.9988
-  Training Loss: 0.0013
-  Validation Loss: 0.0041
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0018
+  Validation Loss: 0.0031
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9984
-  Training Loss: 0.0006
-  Validation Loss: 0.0042
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0017
+  Validation Loss: 0.0055
 --------------------------------------------------
 Epoch 24
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9990
-  Training Loss: 0.0010
-  Validation Loss: 0.0041
+  Training Accuracy: 0.9992
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0020
+  Validation Loss: 0.0040
 --------------------------------------------------
 Epoch 25
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0006
-  Validation Loss: 0.0058
+  Training Accuracy: 0.9994
+  Validation Accuracy: 0.9992
+  Training Loss: 0.0016
+  Validation Loss: 0.0020
 --------------------------------------------------
 Epoch 26
   Training Accuracy: 0.9997
-  Validation Accuracy: 0.9986
-  Training Loss: 0.0008
-  Validation Loss: 0.0047
+  Validation Accuracy: 0.9985
+  Training Loss: 0.0010
+  Validation Loss: 0.0032
 --------------------------------------------------
 Epoch 27
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0005
-  Validation Loss: 0.0055
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9986
+  Training Loss: 0.0013
+  Validation Loss: 0.0039
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 0.9999
-  Validation Accuracy: 0.9968
-  Training Loss: 0.0005
-  Validation Loss: 0.0086
+  Training Accuracy: 0.9996
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0016
+  Validation Loss: 0.0071
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 0.9998
+  Training Accuracy: 0.9996
   Validation Accuracy: 0.9986
-  Training Loss: 0.0007
-  Validation Loss: 0.0039
+  Training Loss: 0.0012
+  Validation Loss: 0.0047
 --------------------------------------------------
 Epoch 30
-  Training Accuracy: 0.9998
-  Validation Accuracy: 0.9990
-  Training Loss: 0.0007
-  Validation Loss: 0.0036
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9989
+  Training Loss: 0.0015
+  Validation Loss: 0.0033
 --------------------------------------------------

NASNetMobile/BINARY_NASNetMobile_Round1/BINARY_NASNetMobile_Round1.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47b5ca755be7cd831f62e9608a86c758570ccb74f7303c1752ae4fc4e16692c6
-size 23074075
+oid sha256:79e5edb147455d66f69e43eb4041a11ca7eee82344648075e6b8b9b6da876eac
+size 23087054

NASNetMobile/BINARY_NASNetMobile_Round1/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9968
-Recall: 0.9992
-Sensitivity: 0.9992
-Specificity: 0.9967
-F1-Score: 0.9980
+Precision: 0.9985
+Recall: 0.9973
+Sensitivity: 0.9973
+Specificity: 0.9985
+F1-Score: 0.9979
 AUC: 1.0000
-MCC: 0.9960
-Cohen's Kappa: 0.9960
-Balanced Accuracy: 0.9980
-Jaccard Index: 0.9961
-Log Loss: 0.0063
-F0.5-Score: 0.9973
+MCC: 0.9958
+Cohen's Kappa: 0.9957
+Balanced Accuracy: 0.9979
+Jaccard Index: 0.9958
+Log Loss: 0.0075
+F0.5-Score: 0.9982

NASNetMobile/BINARY_NASNetMobile_Round1/testing_metrics.txt

@@ -1,3 +1,3 @@
-accuracy: 0.9980
-auc: 1.0000
-loss: 0.0063
+accuracy: 0.9979
+auc: 0.9998
+loss: 0.0075

NASNetMobile/BINARY_NASNetMobile_Round1/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9554
-  Validation Accuracy: 0.9936
-  Training Loss: 0.1320
-  Validation Loss: 0.0405
+  Training Accuracy: 0.9627
+  Validation Accuracy: 0.9892
+  Training Loss: 0.1087
+  Validation Loss: 0.0377
 --------------------------------------------------
 Epoch 2
   Training Accuracy: 0.9901
-  Validation Accuracy: 0.9948
-  Training Loss: 0.0346
-  Validation Loss: 0.0248
+  Validation Accuracy: 0.9889
+  Training Loss: 0.0325
+  Validation Loss: 0.0300
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9932
-  Validation Accuracy: 0.9956
-  Training Loss: 0.0228
-  Validation Loss: 0.0178
+  Training Accuracy: 0.9928
+  Validation Accuracy: 0.9905
+  Training Loss: 0.0238
+  Validation Loss: 0.0251
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9950
-  Validation Accuracy: 0.9962
-  Training Loss: 0.0165
-  Validation Loss: 0.0166
+  Training Accuracy: 0.9943
+  Validation Accuracy: 0.9916
+  Training Loss: 0.0185
+  Validation Loss: 0.0226
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9961
-  Validation Accuracy: 0.9970
-  Training Loss: 0.0137
-  Validation Loss: 0.0124
+  Training Accuracy: 0.9949
+  Validation Accuracy: 0.9926
+  Training Loss: 0.0159
+  Validation Loss: 0.0205
 --------------------------------------------------
 Epoch 6
-  Training Accuracy: 0.9960
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0123
-  Validation Loss: 0.0109
+  Training Accuracy: 0.9956
+  Validation Accuracy: 0.9939
+  Training Loss: 0.0136
+  Validation Loss: 0.0176
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9973
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0099
-  Validation Loss: 0.0093
+  Training Accuracy: 0.9963
+  Validation Accuracy: 0.9943
+  Training Loss: 0.0116
+  Validation Loss: 0.0155
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9973
-  Validation Accuracy: 0.9970
-  Training Loss: 0.0085
-  Validation Loss: 0.0091
+  Training Accuracy: 0.9967
+  Validation Accuracy: 0.9941
+  Training Loss: 0.0109
+  Validation Loss: 0.0155
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9973
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0087
-  Validation Loss: 0.0085
+  Training Accuracy: 0.9968
+  Validation Accuracy: 0.9940
+  Training Loss: 0.0102
+  Validation Loss: 0.0177
 --------------------------------------------------
 Epoch 10
-  Training Accuracy: 0.9982
-  Validation Accuracy: 0.9970
-  Training Loss: 0.0067
-  Validation Loss: 0.0083
+  Training Accuracy: 0.9972
+  Validation Accuracy: 0.9960
+  Training Loss: 0.0096
+  Validation Loss: 0.0117
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9981
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0069
-  Validation Loss: 0.0092
+  Training Accuracy: 0.9972
+  Validation Accuracy: 0.9941
+  Training Loss: 0.0086
+  Validation Loss: 0.0164
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 0.9980
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0064
-  Validation Loss: 0.0073
+  Training Accuracy: 0.9972
+  Validation Accuracy: 0.9946
+  Training Loss: 0.0088
+  Validation Loss: 0.0150
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 0.9986
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0052
-  Validation Loss: 0.0081
+  Training Accuracy: 0.9974
+  Validation Accuracy: 0.9952
+  Training Loss: 0.0079
+  Validation Loss: 0.0122
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9984
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0052
-  Validation Loss: 0.0084
+  Training Accuracy: 0.9977
+  Validation Accuracy: 0.9950
+  Training Loss: 0.0066
+  Validation Loss: 0.0128
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9982
-  Validation Accuracy: 0.9968
-  Training Loss: 0.0048
-  Validation Loss: 0.0092
+  Training Accuracy: 0.9981
+  Validation Accuracy: 0.9962
+  Training Loss: 0.0060
+  Validation Loss: 0.0097
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 0.9987
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0041
-  Validation Loss: 0.0061
+  Training Accuracy: 0.9975
+  Validation Accuracy: 0.9964
+  Training Loss: 0.0070
+  Validation Loss: 0.0100
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 0.9984
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0048
-  Validation Loss: 0.0070
+  Training Accuracy: 0.9980
+  Validation Accuracy: 0.9971
+  Training Loss: 0.0060
+  Validation Loss: 0.0088
 --------------------------------------------------
 Epoch 18
-  Training Accuracy: 0.9990
-  Validation Accuracy: 0.9948
-  Training Loss: 0.0041
-  Validation Loss: 0.0133
+  Training Accuracy: 0.9979
+  Validation Accuracy: 0.9964
+  Training Loss: 0.0058
+  Validation Loss: 0.0099
 --------------------------------------------------
 Epoch 19
-  Training Accuracy: 0.9985
-  Validation Accuracy: 0.9962
-  Training Loss: 0.0043
-  Validation Loss: 0.0107
+  Training Accuracy: 0.9982
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0059
+  Validation Loss: 0.0091
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0034
-  Validation Loss: 0.0054
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9963
+  Training Loss: 0.0050
+  Validation Loss: 0.0103
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0031
-  Validation Loss: 0.0052
+  Training Accuracy: 0.9983
+  Validation Accuracy: 0.9968
+  Training Loss: 0.0053
+  Validation Loss: 0.0084
 --------------------------------------------------
 Epoch 22
-  Training Accuracy: 0.9990
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0033
-  Validation Loss: 0.0059
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9951
+  Training Loss: 0.0047
+  Validation Loss: 0.0143
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0028
-  Validation Loss: 0.0060
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9962
+  Training Loss: 0.0036
+  Validation Loss: 0.0094
 --------------------------------------------------
 Epoch 24
-  Training Accuracy: 0.9992
-  Validation Accuracy: 0.9982
-  Training Loss: 0.0031
-  Validation Loss: 0.0051
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9944
+  Training Loss: 0.0037
+  Validation Loss: 0.0152
 --------------------------------------------------
 Epoch 25
-  Training Accuracy: 0.9992
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0032
-  Validation Loss: 0.0070
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9965
+  Training Loss: 0.0037
+  Validation Loss: 0.0086
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0021
-  Validation Loss: 0.0114
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9934
+  Training Loss: 0.0039
+  Validation Loss: 0.0197
 --------------------------------------------------
 Epoch 27
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0021
-  Validation Loss: 0.0062
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9964
+  Training Loss: 0.0037
+  Validation Loss: 0.0090
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 0.9994
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0022
-  Validation Loss: 0.0089
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9959
+  Training Loss: 0.0033
+  Validation Loss: 0.0101
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0028
-  Validation Loss: 0.0057
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0039
+  Validation Loss: 0.0082
 --------------------------------------------------
 Epoch 30
-  Training Accuracy: 0.9987
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0036
-  Validation Loss: 0.0064
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0033
+  Validation Loss: 0.0068
 --------------------------------------------------

NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb4caf506bfd887bcb52b2e1e4137bc45e550339120e976524d6ead2fd67d39b
-size 23074075
+oid sha256:941b64ddc56973058dd51af526b323938947ac6aba9f7009d4dcdf32fe188205
+size 23087054

NASNetMobile/BINARY_NASNetMobile_Round2/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9961
-Recall: 0.9992
-Sensitivity: 0.9992
-Specificity: 0.9959
-F1-Score: 0.9976
+Precision: 0.9985
+Recall: 0.9961
+Sensitivity: 0.9961
+Specificity: 0.9985
+F1-Score: 0.9973
 AUC: 1.0000
-MCC: 0.9952
-Cohen's Kappa: 0.9952
-Balanced Accuracy: 0.9976
-Jaccard Index: 0.9953
-Log Loss: 0.0063
-F0.5-Score: 0.9967
+MCC: 0.9946
+Cohen's Kappa: 0.9946
+Balanced Accuracy: 0.9973
+Jaccard Index: 0.9946
+Log Loss: 0.0093
+F0.5-Score: 0.9980

NASNetMobile/BINARY_NASNetMobile_Round2/testing_metrics.txt

@@ -1,3 +1,3 @@
-accuracy: 0.9976
-auc: 1.0000
-loss: 0.0063
+accuracy: 0.9973
+auc: 0.9996
+loss: 0.0093

NASNetMobile/BINARY_NASNetMobile_Round2/training_validation_metrics.txt

@@ -1,182 +1,182 @@
 Training and Validation Metrics Per Epoch
 ==================================================
 Epoch 1
-  Training Accuracy: 0.9581
-  Validation Accuracy: 0.9926
-  Training Loss: 0.1268
-  Validation Loss: 0.0368
+  Training Accuracy: 0.9630
+  Validation Accuracy: 0.9884
+  Training Loss: 0.1096
+  Validation Loss: 0.0397
 --------------------------------------------------
 Epoch 2
-  Training Accuracy: 0.9904
-  Validation Accuracy: 0.9956
-  Training Loss: 0.0339
-  Validation Loss: 0.0224
+  Training Accuracy: 0.9893
+  Validation Accuracy: 0.9932
+  Training Loss: 0.0342
+  Validation Loss: 0.0244
 --------------------------------------------------
 Epoch 3
-  Training Accuracy: 0.9934
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0211
-  Validation Loss: 0.0169
+  Training Accuracy: 0.9920
+  Validation Accuracy: 0.9930
+  Training Loss: 0.0245
+  Validation Loss: 0.0214
 --------------------------------------------------
 Epoch 4
-  Training Accuracy: 0.9943
-  Validation Accuracy: 0.9960
-  Training Loss: 0.0180
-  Validation Loss: 0.0170
+  Training Accuracy: 0.9941
+  Validation Accuracy: 0.9929
+  Training Loss: 0.0194
+  Validation Loss: 0.0208
 --------------------------------------------------
 Epoch 5
-  Training Accuracy: 0.9952
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0150
-  Validation Loss: 0.0131
+  Training Accuracy: 0.9949
+  Validation Accuracy: 0.9920
+  Training Loss: 0.0162
+  Validation Loss: 0.0219
 --------------------------------------------------
 Epoch 6
-  Training Accuracy: 0.9968
-  Validation Accuracy: 0.9962
-  Training Loss: 0.0117
-  Validation Loss: 0.0132
+  Training Accuracy: 0.9952
+  Validation Accuracy: 0.9932
+  Training Loss: 0.0141
+  Validation Loss: 0.0195
 --------------------------------------------------
 Epoch 7
-  Training Accuracy: 0.9968
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0103
-  Validation Loss: 0.0110
+  Training Accuracy: 0.9963
+  Validation Accuracy: 0.9945
+  Training Loss: 0.0116
+  Validation Loss: 0.0157
 --------------------------------------------------
 Epoch 8
-  Training Accuracy: 0.9974
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0082
-  Validation Loss: 0.0101
+  Training Accuracy: 0.9968
+  Validation Accuracy: 0.9953
+  Training Loss: 0.0108
+  Validation Loss: 0.0128
 --------------------------------------------------
 Epoch 9
-  Training Accuracy: 0.9974
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0083
-  Validation Loss: 0.0098
+  Training Accuracy: 0.9969
+  Validation Accuracy: 0.9939
+  Training Loss: 0.0095
+  Validation Loss: 0.0153
 --------------------------------------------------
 Epoch 10
   Training Accuracy: 0.9974
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0075
-  Validation Loss: 0.0072
+  Validation Accuracy: 0.9964
+  Training Loss: 0.0086
+  Validation Loss: 0.0108
 --------------------------------------------------
 Epoch 11
-  Training Accuracy: 0.9985
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0064
-  Validation Loss: 0.0091
+  Training Accuracy: 0.9970
+  Validation Accuracy: 0.9960
+  Training Loss: 0.0087
+  Validation Loss: 0.0107
 --------------------------------------------------
 Epoch 12
-  Training Accuracy: 0.9975
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0075
-  Validation Loss: 0.0094
+  Training Accuracy: 0.9972
+  Validation Accuracy: 0.9961
+  Training Loss: 0.0079
+  Validation Loss: 0.0120
 --------------------------------------------------
 Epoch 13
-  Training Accuracy: 0.9983
-  Validation Accuracy: 0.9964
-  Training Loss: 0.0052
-  Validation Loss: 0.0089
+  Training Accuracy: 0.9977
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0073
+  Validation Loss: 0.0085
 --------------------------------------------------
 Epoch 14
-  Training Accuracy: 0.9984
-  Validation Accuracy: 0.9970
-  Training Loss: 0.0051
-  Validation Loss: 0.0072
+  Training Accuracy: 0.9978
+  Validation Accuracy: 0.9962
+  Training Loss: 0.0064
+  Validation Loss: 0.0095
 --------------------------------------------------
 Epoch 15
-  Training Accuracy: 0.9986
-  Validation Accuracy: 0.9962
-  Training Loss: 0.0044
+  Training Accuracy: 0.9982
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0061
   Validation Loss: 0.0096
 --------------------------------------------------
 Epoch 16
-  Training Accuracy: 0.9984
-  Validation Accuracy: 0.9968
-  Training Loss: 0.0045
-  Validation Loss: 0.0087
+  Training Accuracy: 0.9977
+  Validation Accuracy: 0.9969
+  Training Loss: 0.0061
+  Validation Loss: 0.0088
 --------------------------------------------------
 Epoch 17
-  Training Accuracy: 0.9982
-  Validation Accuracy: 0.9954
-  Training Loss: 0.0052
-  Validation Loss: 0.0109
+  Training Accuracy: 0.9980
+  Validation Accuracy: 0.9978
+  Training Loss: 0.0060
+  Validation Loss: 0.0081
 --------------------------------------------------
 Epoch 18
-  Training Accuracy: 0.9983
-  Validation Accuracy: 0.9966
-  Training Loss: 0.0045
-  Validation Loss: 0.0085
+  Training Accuracy: 0.9978
+  Validation Accuracy: 0.9977
+  Training Loss: 0.0064
+  Validation Loss: 0.0074
 --------------------------------------------------
 Epoch 19
-  Training Accuracy: 0.9987
-  Validation Accuracy: 0.9972
-  Training Loss: 0.0041
-  Validation Loss: 0.0090
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0052
+  Validation Loss: 0.0087
 --------------------------------------------------
 Epoch 20
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0030
-  Validation Loss: 0.0077
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9969
+  Training Loss: 0.0040
+  Validation Loss: 0.0084
 --------------------------------------------------
 Epoch 21
-  Training Accuracy: 0.9989
-  Validation Accuracy: 0.9970
-  Training Loss: 0.0037
-  Validation Loss: 0.0094
+  Training Accuracy: 0.9981
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0051
+  Validation Loss: 0.0077
 --------------------------------------------------
 Epoch 22
-  Training Accuracy: 0.9991
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0037
-  Validation Loss: 0.0075
+  Training Accuracy: 0.9984
+  Validation Accuracy: 0.9968
+  Training Loss: 0.0044
+  Validation Loss: 0.0085
 --------------------------------------------------
 Epoch 23
-  Training Accuracy: 0.9989
-  Validation Accuracy: 0.9978
-  Training Loss: 0.0035
-  Validation Loss: 0.0071
+  Training Accuracy: 0.9984
+  Validation Accuracy: 0.9961
+  Training Loss: 0.0047
+  Validation Loss: 0.0097
 --------------------------------------------------
 Epoch 24
-  Training Accuracy: 0.9990
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0032
-  Validation Loss: 0.0057
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9962
+  Training Loss: 0.0046
+  Validation Loss: 0.0099
 --------------------------------------------------
 Epoch 25
-  Training Accuracy: 0.9992
-  Validation Accuracy: 0.9974
-  Training Loss: 0.0029
-  Validation Loss: 0.0067
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9982
+  Training Loss: 0.0048
+  Validation Loss: 0.0053
 --------------------------------------------------
 Epoch 26
-  Training Accuracy: 0.9992
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0027
-  Validation Loss: 0.0067
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9978
+  Training Loss: 0.0042
+  Validation Loss: 0.0065
 --------------------------------------------------
 Epoch 27
-  Training Accuracy: 0.9992
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0023
-  Validation Loss: 0.0064
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9967
+  Training Loss: 0.0037
+  Validation Loss: 0.0081
 --------------------------------------------------
 Epoch 28
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9976
-  Training Loss: 0.0024
-  Validation Loss: 0.0061
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9971
+  Training Loss: 0.0038
+  Validation Loss: 0.0076
 --------------------------------------------------
 Epoch 29
-  Training Accuracy: 0.9993
-  Validation Accuracy: 0.9980
-  Training Loss: 0.0022
-  Validation Loss: 0.0053
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9977
+  Training Loss: 0.0030
+  Validation Loss: 0.0057
 --------------------------------------------------
 Epoch 30
-  Training Accuracy: 0.9990
-  Validation Accuracy: 0.9970
-  Training Loss: 0.0031
-  Validation Loss: 0.0062
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0037
+  Validation Loss: 0.0065
 --------------------------------------------------

NASNetMobile/BINARY_NASNetMobile_Round3/BINARY_NASNetMobile_Round3.keras

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08abe8030a2c400ab634942244d5d3c9c0cba7a5012a0f85a9646f592540b300
-size 23074075
+oid sha256:99c17a7eb47f8e0847bfd63a6c423821ee39784df21da64ff7186ec5545ee9f9
+size 23087054

NASNetMobile/BINARY_NASNetMobile_Round3/classification_metrics.txt

@@ -1,12 +1,12 @@
-Precision: 0.9929
-Recall: 0.9992
-Sensitivity: 0.9992
-Specificity: 0.9927
-F1-Score: 0.9961
+Precision: 0.9988
+Recall: 0.9927
+Sensitivity: 0.9927
+Specificity: 0.9988
+F1-Score: 0.9957
 AUC: 1.0000
-MCC: 0.9920
-Cohen's Kappa: 0.9920
-Balanced Accuracy: 0.9959
-Jaccard Index: 0.9922
-Log Loss: 0.0140
-F0.5-Score: 0.9942
+MCC: 0.9915
+Cohen's Kappa: 0.9915
+Balanced Accuracy: 0.9957
+Jaccard Index: 0.9915
+Log Loss: 0.0139
+F0.5-Score: 0.9976