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@@ -53,3 +53,8 @@ MobileNetV2/BINARY_MobileNetV2_Round2/BINARY_MobileNetV2_Round2.keras filter=lfs
 MobileNetV2/BINARY_MobileNetV2_Round3/BINARY_MobileNetV2_Round3.keras filter=lfs diff=lfs merge=lfs -text
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 MobileNetV2/BINARY_MobileNetV2_Round5/BINARY_MobileNetV2_Round5.keras filter=lfs diff=lfs merge=lfs -text
+NASNetMobile/BINARY_NASNetMobile_Round1/BINARY_NASNetMobile_Round1.keras filter=lfs diff=lfs merge=lfs -text
+NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras filter=lfs diff=lfs merge=lfs -text
+NASNetMobile/BINARY_NASNetMobile_Round3/BINARY_NASNetMobile_Round3.keras filter=lfs diff=lfs merge=lfs -text
+NASNetMobile/BINARY_NASNetMobile_Round4/BINARY_NASNetMobile_Round4.keras filter=lfs diff=lfs merge=lfs -text
+NASNetMobile/BINARY_NASNetMobile_Round5/BINARY_NASNetMobile_Round5.keras filter=lfs diff=lfs merge=lfs -text

NASNetMobile/BINARY_NASNetMobile_Round1/BINARY_NASNetMobile_Round1.keras

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NASNetMobile/BINARY_NASNetMobile_Round1/classification_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round1/testing_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round1/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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+--------------------------------------------------
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+Epoch 30
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NASNetMobile/BINARY_NASNetMobile_Round2/BINARY_NASNetMobile_Round2.keras

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NASNetMobile/BINARY_NASNetMobile_Round2/classification_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round2/testing_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round2/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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NASNetMobile/BINARY_NASNetMobile_Round3/BINARY_NASNetMobile_Round3.keras

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NASNetMobile/BINARY_NASNetMobile_Round3/classification_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round3/testing_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round3/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
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NASNetMobile/BINARY_NASNetMobile_Round4/BINARY_NASNetMobile_Round4.keras

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NASNetMobile/BINARY_NASNetMobile_Round4/classification_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round4/testing_metrics.txt

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NASNetMobile/BINARY_NASNetMobile_Round4/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
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+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0034
+  Validation Loss: 0.0064
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0030
+  Validation Loss: 0.0067
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 0.9988
+  Validation Accuracy: 0.9956
+  Training Loss: 0.0037
+  Validation Loss: 0.0130
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0031
+  Validation Loss: 0.0066
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9968
+  Training Loss: 0.0028
+  Validation Loss: 0.0091
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0029
+  Validation Loss: 0.0064
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9978
+  Training Loss: 0.0033
+  Validation Loss: 0.0064
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 0.9995
+  Validation Accuracy: 0.9978
+  Training Loss: 0.0021
+  Validation Loss: 0.0058
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0027
+  Validation Loss: 0.0070
+--------------------------------------------------

NASNetMobile/BINARY_NASNetMobile_Round5/BINARY_NASNetMobile_Round5.keras

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+version https://git-lfs.github.com/spec/v1
+oid sha256:97d70e8530971b64b9aeea7b71543c720cb1572608a223036a77bcf110ae0621
+size 23074075

NASNetMobile/BINARY_NASNetMobile_Round5/classification_metrics.txt

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+Precision: 0.9968
+Recall: 0.9992
+Sensitivity: 0.9992
+Specificity: 0.9967
+F1-Score: 0.9980
+AUC: 1.0000
+MCC: 0.9960
+Cohen's Kappa: 0.9960
+Balanced Accuracy: 0.9980
+Jaccard Index: 0.9961
+Log Loss: 0.0076
+F0.5-Score: 0.9973

NASNetMobile/BINARY_NASNetMobile_Round5/testing_metrics.txt

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+accuracy: 0.9980
+auc: 1.0000
+loss: 0.0076

NASNetMobile/BINARY_NASNetMobile_Round5/training_validation_metrics.txt

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+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1
+  Training Accuracy: 0.9560
+  Validation Accuracy: 0.9896
+  Training Loss: 0.1336
+  Validation Loss: 0.0447
+--------------------------------------------------
+Epoch 2
+  Training Accuracy: 0.9897
+  Validation Accuracy: 0.9954
+  Training Loss: 0.0352
+  Validation Loss: 0.0240
+--------------------------------------------------
+Epoch 3
+  Training Accuracy: 0.9932
+  Validation Accuracy: 0.9960
+  Training Loss: 0.0231
+  Validation Loss: 0.0192
+--------------------------------------------------
+Epoch 4
+  Training Accuracy: 0.9950
+  Validation Accuracy: 0.9962
+  Training Loss: 0.0173
+  Validation Loss: 0.0150
+--------------------------------------------------
+Epoch 5
+  Training Accuracy: 0.9960
+  Validation Accuracy: 0.9958
+  Training Loss: 0.0138
+  Validation Loss: 0.0141
+--------------------------------------------------
+Epoch 6
+  Training Accuracy: 0.9966
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0113
+  Validation Loss: 0.0117
+--------------------------------------------------
+Epoch 7
+  Training Accuracy: 0.9964
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0097
+  Validation Loss: 0.0102
+--------------------------------------------------
+Epoch 8
+  Training Accuracy: 0.9974
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0094
+  Validation Loss: 0.0101
+--------------------------------------------------
+Epoch 9
+  Training Accuracy: 0.9975
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0077
+  Validation Loss: 0.0092
+--------------------------------------------------
+Epoch 10
+  Training Accuracy: 0.9978
+  Validation Accuracy: 0.9964
+  Training Loss: 0.0079
+  Validation Loss: 0.0092
+--------------------------------------------------
+Epoch 11
+  Training Accuracy: 0.9978
+  Validation Accuracy: 0.9964
+  Training Loss: 0.0066
+  Validation Loss: 0.0114
+--------------------------------------------------
+Epoch 12
+  Training Accuracy: 0.9985
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0054
+  Validation Loss: 0.0080
+--------------------------------------------------
+Epoch 13
+  Training Accuracy: 0.9983
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0059
+  Validation Loss: 0.0075
+--------------------------------------------------
+Epoch 14
+  Training Accuracy: 0.9982
+  Validation Accuracy: 0.9966
+  Training Loss: 0.0053
+  Validation Loss: 0.0072
+--------------------------------------------------
+Epoch 15
+  Training Accuracy: 0.9984
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0045
+  Validation Loss: 0.0062
+--------------------------------------------------
+Epoch 16
+  Training Accuracy: 0.9984
+  Validation Accuracy: 0.9968
+  Training Loss: 0.0055
+  Validation Loss: 0.0076
+--------------------------------------------------
+Epoch 17
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0046
+  Validation Loss: 0.0074
+--------------------------------------------------
+Epoch 18
+  Training Accuracy: 0.9983
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0048
+  Validation Loss: 0.0060
+--------------------------------------------------
+Epoch 19
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0044
+  Validation Loss: 0.0066
+--------------------------------------------------
+Epoch 20
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0039
+  Validation Loss: 0.0064
+--------------------------------------------------
+Epoch 21
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9970
+  Training Loss: 0.0035
+  Validation Loss: 0.0064
+--------------------------------------------------
+Epoch 22
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9978
+  Training Loss: 0.0029
+  Validation Loss: 0.0059
+--------------------------------------------------
+Epoch 23
+  Training Accuracy: 0.9989
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0034
+  Validation Loss: 0.0057
+--------------------------------------------------
+Epoch 24
+  Training Accuracy: 0.9986
+  Validation Accuracy: 0.9972
+  Training Loss: 0.0035
+  Validation Loss: 0.0062
+--------------------------------------------------
+Epoch 25
+  Training Accuracy: 0.9987
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0032
+  Validation Loss: 0.0056
+--------------------------------------------------
+Epoch 26
+  Training Accuracy: 0.9991
+  Validation Accuracy: 0.9974
+  Training Loss: 0.0027
+  Validation Loss: 0.0059
+--------------------------------------------------
+Epoch 27
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0025
+  Validation Loss: 0.0054
+--------------------------------------------------
+Epoch 28
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0028
+  Validation Loss: 0.0054
+--------------------------------------------------
+Epoch 29
+  Training Accuracy: 0.9990
+  Validation Accuracy: 0.9982
+  Training Loss: 0.0027
+  Validation Loss: 0.0048
+--------------------------------------------------
+Epoch 30
+  Training Accuracy: 0.9993
+  Validation Accuracy: 0.9976
+  Training Loss: 0.0025
+  Validation Loss: 0.0055
+--------------------------------------------------