Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+VGG19/BINARY_VGG19_Round1/BINARY_VGG19_Round1.keras filter=lfs diff=lfs merge=lfs -text
+VGG19/BINARY_VGG19_Round2/BINARY_VGG19_Round2.keras filter=lfs diff=lfs merge=lfs -text
+VGG19/BINARY_VGG19_Round3/BINARY_VGG19_Round3.keras filter=lfs diff=lfs merge=lfs -text
+VGG19/BINARY_VGG19_Round4/BINARY_VGG19_Round4.keras filter=lfs diff=lfs merge=lfs -text
+VGG19/BINARY_VGG19_Round5/BINARY_VGG19_Round5.keras filter=lfs diff=lfs merge=lfs -text

VGG19/BINARY_VGG19_Round1/BINARY_VGG19_Round1.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8927df1368ebb49f554edac800e52227d86169165e0addf6bb4814d6392c1bc
+size 81782090

VGG19/BINARY_VGG19_Round1/classification_metrics.txt

@@ -0,0 +1,12 @@
+Precision: 0.9914
+Recall (Sensitivity): 0.9984
+Sensitivity: 0.9984
+Specificity: 0.9911
+F1-Score: 0.9949
+AUC: 1.0000
+Matthews Correlation Coefficient (MCC): 0.9896
+Cohen's Kappa: 0.9896
+Balanced Accuracy: 0.9947
+Jaccard Index (IoU): 0.9898
+Log Loss: 0.0108
+F0.5-Score: 0.9928

VGG19/BINARY_VGG19_Round1/testing_metrics.txt

@@ -0,0 +1,3 @@
+accuracy: 0.9948
+auc: 1.0000
+loss: 0.0108

VGG19/BINARY_VGG19_Round1/training_validation_metrics.txt

@@ -0,0 +1,122 @@
+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1:
+  Training Accuracy: 0.8389, Validation Accuracy: 0.9549
+  Training Loss: 0.3889, Validation Loss: 0.2038
+--------------------------------------------------
+Epoch 2:
+  Training Accuracy: 0.9613, Validation Accuracy: 0.9741
+  Training Loss: 0.1519, Validation Loss: 0.1051
+--------------------------------------------------
+Epoch 3:
+  Training Accuracy: 0.9794, Validation Accuracy: 0.9808
+  Training Loss: 0.0876, Validation Loss: 0.0706
+--------------------------------------------------
+Epoch 4:
+  Training Accuracy: 0.9844, Validation Accuracy: 0.9866
+  Training Loss: 0.0633, Validation Loss: 0.0530
+--------------------------------------------------
+Epoch 5:
+  Training Accuracy: 0.9864, Validation Accuracy: 0.9896
+  Training Loss: 0.0507, Validation Loss: 0.0427
+--------------------------------------------------
+Epoch 6:
+  Training Accuracy: 0.9888, Validation Accuracy: 0.9890
+  Training Loss: 0.0423, Validation Loss: 0.0388
+--------------------------------------------------
+Epoch 7:
+  Training Accuracy: 0.9890, Validation Accuracy: 0.9908
+  Training Loss: 0.0366, Validation Loss: 0.0323
+--------------------------------------------------
+Epoch 8:
+  Training Accuracy: 0.9906, Validation Accuracy: 0.9916
+  Training Loss: 0.0328, Validation Loss: 0.0298
+--------------------------------------------------
+Epoch 9:
+  Training Accuracy: 0.9913, Validation Accuracy: 0.9916
+  Training Loss: 0.0294, Validation Loss: 0.0269
+--------------------------------------------------
+Epoch 10:
+  Training Accuracy: 0.9915, Validation Accuracy: 0.9924
+  Training Loss: 0.0291, Validation Loss: 0.0256
+--------------------------------------------------
+Epoch 11:
+  Training Accuracy: 0.9922, Validation Accuracy: 0.9926
+  Training Loss: 0.0259, Validation Loss: 0.0246
+--------------------------------------------------
+Epoch 12:
+  Training Accuracy: 0.9924, Validation Accuracy: 0.9924
+  Training Loss: 0.0248, Validation Loss: 0.0237
+--------------------------------------------------
+Epoch 13:
+  Training Accuracy: 0.9926, Validation Accuracy: 0.9930
+  Training Loss: 0.0233, Validation Loss: 0.0218
+--------------------------------------------------
+Epoch 14:
+  Training Accuracy: 0.9927, Validation Accuracy: 0.9932
+  Training Loss: 0.0230, Validation Loss: 0.0202
+--------------------------------------------------
+Epoch 15:
+  Training Accuracy: 0.9927, Validation Accuracy: 0.9932
+  Training Loss: 0.0212, Validation Loss: 0.0200
+--------------------------------------------------
+Epoch 16:
+  Training Accuracy: 0.9933, Validation Accuracy: 0.9926
+  Training Loss: 0.0207, Validation Loss: 0.0210
+--------------------------------------------------
+Epoch 17:
+  Training Accuracy: 0.9936, Validation Accuracy: 0.9940
+  Training Loss: 0.0193, Validation Loss: 0.0189
+--------------------------------------------------
+Epoch 18:
+  Training Accuracy: 0.9941, Validation Accuracy: 0.9938
+  Training Loss: 0.0192, Validation Loss: 0.0188
+--------------------------------------------------
+Epoch 19:
+  Training Accuracy: 0.9942, Validation Accuracy: 0.9938
+  Training Loss: 0.0185, Validation Loss: 0.0181
+--------------------------------------------------
+Epoch 20:
+  Training Accuracy: 0.9940, Validation Accuracy: 0.9938
+  Training Loss: 0.0185, Validation Loss: 0.0180
+--------------------------------------------------
+Epoch 21:
+  Training Accuracy: 0.9948, Validation Accuracy: 0.9950
+  Training Loss: 0.0181, Validation Loss: 0.0167
+--------------------------------------------------
+Epoch 22:
+  Training Accuracy: 0.9944, Validation Accuracy: 0.9952
+  Training Loss: 0.0172, Validation Loss: 0.0159
+--------------------------------------------------
+Epoch 23:
+  Training Accuracy: 0.9943, Validation Accuracy: 0.9954
+  Training Loss: 0.0178, Validation Loss: 0.0160
+--------------------------------------------------
+Epoch 24:
+  Training Accuracy: 0.9947, Validation Accuracy: 0.9954
+  Training Loss: 0.0160, Validation Loss: 0.0160
+--------------------------------------------------
+Epoch 25:
+  Training Accuracy: 0.9953, Validation Accuracy: 0.9956
+  Training Loss: 0.0159, Validation Loss: 0.0154
+--------------------------------------------------
+Epoch 26:
+  Training Accuracy: 0.9952, Validation Accuracy: 0.9960
+  Training Loss: 0.0151, Validation Loss: 0.0147
+--------------------------------------------------
+Epoch 27:
+  Training Accuracy: 0.9944, Validation Accuracy: 0.9944
+  Training Loss: 0.0162, Validation Loss: 0.0162
+--------------------------------------------------
+Epoch 28:
+  Training Accuracy: 0.9948, Validation Accuracy: 0.9960
+  Training Loss: 0.0150, Validation Loss: 0.0146
+--------------------------------------------------
+Epoch 29:
+  Training Accuracy: 0.9948, Validation Accuracy: 0.9958
+  Training Loss: 0.0147, Validation Loss: 0.0145
+--------------------------------------------------
+Epoch 30:
+  Training Accuracy: 0.9951, Validation Accuracy: 0.9960
+  Training Loss: 0.0149, Validation Loss: 0.0136
+--------------------------------------------------

VGG19/BINARY_VGG19_Round2/BINARY_VGG19_Round2.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:121e87a6416ba2ca93df5327a42eac11945f07fed2227c8c0420aa7d965a8341
+size 81782090

VGG19/BINARY_VGG19_Round2/classification_metrics.txt

@@ -0,0 +1,12 @@
+Precision: 0.9906
+Recall (Sensitivity): 0.9992
+Sensitivity: 0.9992
+Specificity: 0.9902
+F1-Score: 0.9949
+AUC: 1.0000
+Matthews Correlation Coefficient (MCC): 0.9896
+Cohen's Kappa: 0.9896
+Balanced Accuracy: 0.9947
+Jaccard Index (IoU): 0.9898
+Log Loss: 0.0112
+F0.5-Score: 0.9923

VGG19/BINARY_VGG19_Round2/testing_metrics.txt

@@ -0,0 +1,3 @@
+accuracy: 0.9948
+auc: 1.0000
+loss: 0.0112

VGG19/BINARY_VGG19_Round2/training_validation_metrics.txt

@@ -0,0 +1,122 @@
+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1:
+  Training Accuracy: 0.8440, Validation Accuracy: 0.9551
+  Training Loss: 0.3791, Validation Loss: 0.1961
+--------------------------------------------------
+Epoch 2:
+  Training Accuracy: 0.9648, Validation Accuracy: 0.9783
+  Training Loss: 0.1464, Validation Loss: 0.1013
+--------------------------------------------------
+Epoch 3:
+  Training Accuracy: 0.9788, Validation Accuracy: 0.9860
+  Training Loss: 0.0877, Validation Loss: 0.0680
+--------------------------------------------------
+Epoch 4:
+  Training Accuracy: 0.9831, Validation Accuracy: 0.9882
+  Training Loss: 0.0627, Validation Loss: 0.0511
+--------------------------------------------------
+Epoch 5:
+  Training Accuracy: 0.9873, Validation Accuracy: 0.9894
+  Training Loss: 0.0498, Validation Loss: 0.0423
+--------------------------------------------------
+Epoch 6:
+  Training Accuracy: 0.9893, Validation Accuracy: 0.9906
+  Training Loss: 0.0413, Validation Loss: 0.0369
+--------------------------------------------------
+Epoch 7:
+  Training Accuracy: 0.9901, Validation Accuracy: 0.9910
+  Training Loss: 0.0368, Validation Loss: 0.0325
+--------------------------------------------------
+Epoch 8:
+  Training Accuracy: 0.9904, Validation Accuracy: 0.9914
+  Training Loss: 0.0326, Validation Loss: 0.0290
+--------------------------------------------------
+Epoch 9:
+  Training Accuracy: 0.9911, Validation Accuracy: 0.9918
+  Training Loss: 0.0304, Validation Loss: 0.0272
+--------------------------------------------------
+Epoch 10:
+  Training Accuracy: 0.9918, Validation Accuracy: 0.9922
+  Training Loss: 0.0275, Validation Loss: 0.0254
+--------------------------------------------------
+Epoch 11:
+  Training Accuracy: 0.9925, Validation Accuracy: 0.9920
+  Training Loss: 0.0271, Validation Loss: 0.0235
+--------------------------------------------------
+Epoch 12:
+  Training Accuracy: 0.9926, Validation Accuracy: 0.9928
+  Training Loss: 0.0246, Validation Loss: 0.0225
+--------------------------------------------------
+Epoch 13:
+  Training Accuracy: 0.9925, Validation Accuracy: 0.9930
+  Training Loss: 0.0239, Validation Loss: 0.0212
+--------------------------------------------------
+Epoch 14:
+  Training Accuracy: 0.9931, Validation Accuracy: 0.9934
+  Training Loss: 0.0225, Validation Loss: 0.0205
+--------------------------------------------------
+Epoch 15:
+  Training Accuracy: 0.9935, Validation Accuracy: 0.9922
+  Training Loss: 0.0214, Validation Loss: 0.0214
+--------------------------------------------------
+Epoch 16:
+  Training Accuracy: 0.9938, Validation Accuracy: 0.9936
+  Training Loss: 0.0202, Validation Loss: 0.0188
+--------------------------------------------------
+Epoch 17:
+  Training Accuracy: 0.9939, Validation Accuracy: 0.9938
+  Training Loss: 0.0195, Validation Loss: 0.0187
+--------------------------------------------------
+Epoch 18:
+  Training Accuracy: 0.9942, Validation Accuracy: 0.9942
+  Training Loss: 0.0186, Validation Loss: 0.0183
+--------------------------------------------------
+Epoch 19:
+  Training Accuracy: 0.9935, Validation Accuracy: 0.9946
+  Training Loss: 0.0184, Validation Loss: 0.0174
+--------------------------------------------------
+Epoch 20:
+  Training Accuracy: 0.9939, Validation Accuracy: 0.9948
+  Training Loss: 0.0185, Validation Loss: 0.0171
+--------------------------------------------------
+Epoch 21:
+  Training Accuracy: 0.9940, Validation Accuracy: 0.9950
+  Training Loss: 0.0175, Validation Loss: 0.0171
+--------------------------------------------------
+Epoch 22:
+  Training Accuracy: 0.9940, Validation Accuracy: 0.9954
+  Training Loss: 0.0180, Validation Loss: 0.0159
+--------------------------------------------------
+Epoch 23:
+  Training Accuracy: 0.9945, Validation Accuracy: 0.9952
+  Training Loss: 0.0163, Validation Loss: 0.0161
+--------------------------------------------------
+Epoch 24:
+  Training Accuracy: 0.9946, Validation Accuracy: 0.9956
+  Training Loss: 0.0167, Validation Loss: 0.0155
+--------------------------------------------------
+Epoch 25:
+  Training Accuracy: 0.9949, Validation Accuracy: 0.9954
+  Training Loss: 0.0166, Validation Loss: 0.0158
+--------------------------------------------------
+Epoch 26:
+  Training Accuracy: 0.9954, Validation Accuracy: 0.9958
+  Training Loss: 0.0161, Validation Loss: 0.0154
+--------------------------------------------------
+Epoch 27:
+  Training Accuracy: 0.9944, Validation Accuracy: 0.9954
+  Training Loss: 0.0161, Validation Loss: 0.0151
+--------------------------------------------------
+Epoch 28:
+  Training Accuracy: 0.9946, Validation Accuracy: 0.9954
+  Training Loss: 0.0159, Validation Loss: 0.0148
+--------------------------------------------------
+Epoch 29:
+  Training Accuracy: 0.9943, Validation Accuracy: 0.9960
+  Training Loss: 0.0161, Validation Loss: 0.0138
+--------------------------------------------------
+Epoch 30:
+  Training Accuracy: 0.9953, Validation Accuracy: 0.9962
+  Training Loss: 0.0147, Validation Loss: 0.0139
+--------------------------------------------------

VGG19/BINARY_VGG19_Round3/BINARY_VGG19_Round3.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc05df3fc11b0f1dd066a09a3c6839e4d84f7652c6a7e6eeafa50551f8e854d8
+size 81782090

VGG19/BINARY_VGG19_Round3/classification_metrics.txt

@@ -0,0 +1,12 @@
+Precision: 0.9898
+Recall (Sensitivity): 0.9984
+Sensitivity: 0.9984
+Specificity: 0.9894
+F1-Score: 0.9941
+AUC: 1.0000
+Matthews Correlation Coefficient (MCC): 0.9880
+Cohen's Kappa: 0.9880
+Balanced Accuracy: 0.9939
+Jaccard Index (IoU): 0.9883
+Log Loss: 0.0118
+F0.5-Score: 0.9915

VGG19/BINARY_VGG19_Round3/testing_metrics.txt

@@ -0,0 +1,3 @@
+accuracy: 0.9940
+auc: 1.0000
+loss: 0.0118

VGG19/BINARY_VGG19_Round3/training_validation_metrics.txt

@@ -0,0 +1,122 @@
+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1:
+  Training Accuracy: 0.8475, Validation Accuracy: 0.9587
+  Training Loss: 0.3730, Validation Loss: 0.1937
+--------------------------------------------------
+Epoch 2:
+  Training Accuracy: 0.9630, Validation Accuracy: 0.9765
+  Training Loss: 0.1452, Validation Loss: 0.0995
+--------------------------------------------------
+Epoch 3:
+  Training Accuracy: 0.9795, Validation Accuracy: 0.9860
+  Training Loss: 0.0863, Validation Loss: 0.0669
+--------------------------------------------------
+Epoch 4:
+  Training Accuracy: 0.9849, Validation Accuracy: 0.9882
+  Training Loss: 0.0608, Validation Loss: 0.0505
+--------------------------------------------------
+Epoch 5:
+  Training Accuracy: 0.9869, Validation Accuracy: 0.9900
+  Training Loss: 0.0495, Validation Loss: 0.0416
+--------------------------------------------------
+Epoch 6:
+  Training Accuracy: 0.9894, Validation Accuracy: 0.9906
+  Training Loss: 0.0397, Validation Loss: 0.0355
+--------------------------------------------------
+Epoch 7:
+  Training Accuracy: 0.9889, Validation Accuracy: 0.9912
+  Training Loss: 0.0369, Validation Loss: 0.0316
+--------------------------------------------------
+Epoch 8:
+  Training Accuracy: 0.9904, Validation Accuracy: 0.9912
+  Training Loss: 0.0322, Validation Loss: 0.0288
+--------------------------------------------------
+Epoch 9:
+  Training Accuracy: 0.9922, Validation Accuracy: 0.9918
+  Training Loss: 0.0293, Validation Loss: 0.0263
+--------------------------------------------------
+Epoch 10:
+  Training Accuracy: 0.9922, Validation Accuracy: 0.9918
+  Training Loss: 0.0275, Validation Loss: 0.0250
+--------------------------------------------------
+Epoch 11:
+  Training Accuracy: 0.9923, Validation Accuracy: 0.9924
+  Training Loss: 0.0254, Validation Loss: 0.0232
+--------------------------------------------------
+Epoch 12:
+  Training Accuracy: 0.9921, Validation Accuracy: 0.9928
+  Training Loss: 0.0245, Validation Loss: 0.0218
+--------------------------------------------------
+Epoch 13:
+  Training Accuracy: 0.9935, Validation Accuracy: 0.9922
+  Training Loss: 0.0225, Validation Loss: 0.0216
+--------------------------------------------------
+Epoch 14:
+  Training Accuracy: 0.9930, Validation Accuracy: 0.9932
+  Training Loss: 0.0229, Validation Loss: 0.0201
+--------------------------------------------------
+Epoch 15:
+  Training Accuracy: 0.9930, Validation Accuracy: 0.9928
+  Training Loss: 0.0209, Validation Loss: 0.0211
+--------------------------------------------------
+Epoch 16:
+  Training Accuracy: 0.9943, Validation Accuracy: 0.9936
+  Training Loss: 0.0200, Validation Loss: 0.0187
+--------------------------------------------------
+Epoch 17:
+  Training Accuracy: 0.9941, Validation Accuracy: 0.9938
+  Training Loss: 0.0200, Validation Loss: 0.0183
+--------------------------------------------------
+Epoch 18:
+  Training Accuracy: 0.9936, Validation Accuracy: 0.9946
+  Training Loss: 0.0190, Validation Loss: 0.0175
+--------------------------------------------------
+Epoch 19:
+  Training Accuracy: 0.9939, Validation Accuracy: 0.9940
+  Training Loss: 0.0192, Validation Loss: 0.0174
+--------------------------------------------------
+Epoch 20:
+  Training Accuracy: 0.9946, Validation Accuracy: 0.9948
+  Training Loss: 0.0181, Validation Loss: 0.0167
+--------------------------------------------------
+Epoch 21:
+  Training Accuracy: 0.9938, Validation Accuracy: 0.9944
+  Training Loss: 0.0181, Validation Loss: 0.0171
+--------------------------------------------------
+Epoch 22:
+  Training Accuracy: 0.9952, Validation Accuracy: 0.9942
+  Training Loss: 0.0165, Validation Loss: 0.0167
+--------------------------------------------------
+Epoch 23:
+  Training Accuracy: 0.9942, Validation Accuracy: 0.9948
+  Training Loss: 0.0166, Validation Loss: 0.0159
+--------------------------------------------------
+Epoch 24:
+  Training Accuracy: 0.9952, Validation Accuracy: 0.9946
+  Training Loss: 0.0160, Validation Loss: 0.0162
+--------------------------------------------------
+Epoch 25:
+  Training Accuracy: 0.9942, Validation Accuracy: 0.9954
+  Training Loss: 0.0164, Validation Loss: 0.0149
+--------------------------------------------------
+Epoch 26:
+  Training Accuracy: 0.9948, Validation Accuracy: 0.9958
+  Training Loss: 0.0151, Validation Loss: 0.0144
+--------------------------------------------------
+Epoch 27:
+  Training Accuracy: 0.9954, Validation Accuracy: 0.9946
+  Training Loss: 0.0143, Validation Loss: 0.0152
+--------------------------------------------------
+Epoch 28:
+  Training Accuracy: 0.9955, Validation Accuracy: 0.9960
+  Training Loss: 0.0150, Validation Loss: 0.0141
+--------------------------------------------------
+Epoch 29:
+  Training Accuracy: 0.9950, Validation Accuracy: 0.9960
+  Training Loss: 0.0140, Validation Loss: 0.0140
+--------------------------------------------------
+Epoch 30:
+  Training Accuracy: 0.9949, Validation Accuracy: 0.9954
+  Training Loss: 0.0154, Validation Loss: 0.0144
+--------------------------------------------------

VGG19/BINARY_VGG19_Round4/BINARY_VGG19_Round4.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f43fa9aa7f3d7913aeaf70c3e1b7bf01ca64f412dc53313662768c20c596f15
+size 81782090

VGG19/BINARY_VGG19_Round4/classification_metrics.txt

@@ -0,0 +1,12 @@
+Precision: 0.9922
+Recall (Sensitivity): 0.9992
+Sensitivity: 0.9992
+Specificity: 0.9919
+F1-Score: 0.9957
+AUC: 1.0000
+Matthews Correlation Coefficient (MCC): 0.9912
+Cohen's Kappa: 0.9912
+Balanced Accuracy: 0.9955
+Jaccard Index (IoU): 0.9914
+Log Loss: 0.0105
+F0.5-Score: 0.9936

VGG19/BINARY_VGG19_Round4/testing_metrics.txt

@@ -0,0 +1,3 @@
+accuracy: 0.9956
+auc: 1.0000
+loss: 0.0105

VGG19/BINARY_VGG19_Round4/training_validation_metrics.txt

@@ -0,0 +1,122 @@
+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1:
+  Training Accuracy: 0.8485, Validation Accuracy: 0.9603
+  Training Loss: 0.3773, Validation Loss: 0.1906
+--------------------------------------------------
+Epoch 2:
+  Training Accuracy: 0.9657, Validation Accuracy: 0.9796
+  Training Loss: 0.1423, Validation Loss: 0.0974
+--------------------------------------------------
+Epoch 3:
+  Training Accuracy: 0.9786, Validation Accuracy: 0.9858
+  Training Loss: 0.0832, Validation Loss: 0.0646
+--------------------------------------------------
+Epoch 4:
+  Training Accuracy: 0.9846, Validation Accuracy: 0.9878
+  Training Loss: 0.0592, Validation Loss: 0.0494
+--------------------------------------------------
+Epoch 5:
+  Training Accuracy: 0.9876, Validation Accuracy: 0.9894
+  Training Loss: 0.0483, Validation Loss: 0.0407
+--------------------------------------------------
+Epoch 6:
+  Training Accuracy: 0.9892, Validation Accuracy: 0.9904
+  Training Loss: 0.0411, Validation Loss: 0.0352
+--------------------------------------------------
+Epoch 7:
+  Training Accuracy: 0.9904, Validation Accuracy: 0.9910
+  Training Loss: 0.0343, Validation Loss: 0.0312
+--------------------------------------------------
+Epoch 8:
+  Training Accuracy: 0.9907, Validation Accuracy: 0.9912
+  Training Loss: 0.0324, Validation Loss: 0.0285
+--------------------------------------------------
+Epoch 9:
+  Training Accuracy: 0.9907, Validation Accuracy: 0.9922
+  Training Loss: 0.0294, Validation Loss: 0.0276
+--------------------------------------------------
+Epoch 10:
+  Training Accuracy: 0.9918, Validation Accuracy: 0.9914
+  Training Loss: 0.0271, Validation Loss: 0.0243
+--------------------------------------------------
+Epoch 11:
+  Training Accuracy: 0.9926, Validation Accuracy: 0.9926
+  Training Loss: 0.0249, Validation Loss: 0.0232
+--------------------------------------------------
+Epoch 12:
+  Training Accuracy: 0.9930, Validation Accuracy: 0.9928
+  Training Loss: 0.0236, Validation Loss: 0.0221
+--------------------------------------------------
+Epoch 13:
+  Training Accuracy: 0.9926, Validation Accuracy: 0.9930
+  Training Loss: 0.0232, Validation Loss: 0.0208
+--------------------------------------------------
+Epoch 14:
+  Training Accuracy: 0.9932, Validation Accuracy: 0.9932
+  Training Loss: 0.0213, Validation Loss: 0.0197
+--------------------------------------------------
+Epoch 15:
+  Training Accuracy: 0.9924, Validation Accuracy: 0.9938
+  Training Loss: 0.0223, Validation Loss: 0.0193
+--------------------------------------------------
+Epoch 16:
+  Training Accuracy: 0.9930, Validation Accuracy: 0.9940
+  Training Loss: 0.0217, Validation Loss: 0.0185
+--------------------------------------------------
+Epoch 17:
+  Training Accuracy: 0.9939, Validation Accuracy: 0.9944
+  Training Loss: 0.0198, Validation Loss: 0.0180
+--------------------------------------------------
+Epoch 18:
+  Training Accuracy: 0.9938, Validation Accuracy: 0.9944
+  Training Loss: 0.0194, Validation Loss: 0.0174
+--------------------------------------------------
+Epoch 19:
+  Training Accuracy: 0.9931, Validation Accuracy: 0.9940
+  Training Loss: 0.0196, Validation Loss: 0.0177
+--------------------------------------------------
+Epoch 20:
+  Training Accuracy: 0.9943, Validation Accuracy: 0.9944
+  Training Loss: 0.0176, Validation Loss: 0.0174
+--------------------------------------------------
+Epoch 21:
+  Training Accuracy: 0.9947, Validation Accuracy: 0.9952
+  Training Loss: 0.0174, Validation Loss: 0.0164
+--------------------------------------------------
+Epoch 22:
+  Training Accuracy: 0.9943, Validation Accuracy: 0.9948
+  Training Loss: 0.0165, Validation Loss: 0.0163
+--------------------------------------------------
+Epoch 23:
+  Training Accuracy: 0.9946, Validation Accuracy: 0.9950
+  Training Loss: 0.0165, Validation Loss: 0.0155
+--------------------------------------------------
+Epoch 24:
+  Training Accuracy: 0.9948, Validation Accuracy: 0.9950
+  Training Loss: 0.0157, Validation Loss: 0.0157
+--------------------------------------------------
+Epoch 25:
+  Training Accuracy: 0.9955, Validation Accuracy: 0.9956
+  Training Loss: 0.0154, Validation Loss: 0.0148
+--------------------------------------------------
+Epoch 26:
+  Training Accuracy: 0.9947, Validation Accuracy: 0.9956
+  Training Loss: 0.0155, Validation Loss: 0.0144
+--------------------------------------------------
+Epoch 27:
+  Training Accuracy: 0.9954, Validation Accuracy: 0.9960
+  Training Loss: 0.0147, Validation Loss: 0.0145
+--------------------------------------------------
+Epoch 28:
+  Training Accuracy: 0.9953, Validation Accuracy: 0.9956
+  Training Loss: 0.0149, Validation Loss: 0.0147
+--------------------------------------------------
+Epoch 29:
+  Training Accuracy: 0.9956, Validation Accuracy: 0.9958
+  Training Loss: 0.0142, Validation Loss: 0.0139
+--------------------------------------------------
+Epoch 30:
+  Training Accuracy: 0.9957, Validation Accuracy: 0.9958
+  Training Loss: 0.0144, Validation Loss: 0.0137
+--------------------------------------------------

VGG19/BINARY_VGG19_Round5/BINARY_VGG19_Round5.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a6dbe884437a00cd9aacaa680a04289d98f27ab0b655a527acd066ca8de2b9f
+size 81782090

VGG19/BINARY_VGG19_Round5/classification_metrics.txt

@@ -0,0 +1,12 @@
+Precision: 0.9906
+Recall (Sensitivity): 0.9992
+Sensitivity: 0.9992
+Specificity: 0.9902
+F1-Score: 0.9949
+AUC: 1.0000
+Matthews Correlation Coefficient (MCC): 0.9896
+Cohen's Kappa: 0.9896
+Balanced Accuracy: 0.9947
+Jaccard Index (IoU): 0.9898
+Log Loss: 0.0116
+F0.5-Score: 0.9923

VGG19/BINARY_VGG19_Round5/testing_metrics.txt

@@ -0,0 +1,3 @@
+accuracy: 0.9948
+auc: 1.0000
+loss: 0.0116

VGG19/BINARY_VGG19_Round5/training_validation_metrics.txt

@@ -0,0 +1,122 @@
+Training and Validation Metrics Per Epoch
+==================================================
+Epoch 1:
+  Training Accuracy: 0.8371, Validation Accuracy: 0.9555
+  Training Loss: 0.3933, Validation Loss: 0.2084
+--------------------------------------------------
+Epoch 2:
+  Training Accuracy: 0.9619, Validation Accuracy: 0.9753
+  Training Loss: 0.1542, Validation Loss: 0.1054
+--------------------------------------------------
+Epoch 3:
+  Training Accuracy: 0.9785, Validation Accuracy: 0.9840
+  Training Loss: 0.0889, Validation Loss: 0.0691
+--------------------------------------------------
+Epoch 4:
+  Training Accuracy: 0.9842, Validation Accuracy: 0.9868
+  Training Loss: 0.0635, Validation Loss: 0.0529
+--------------------------------------------------
+Epoch 5:
+  Training Accuracy: 0.9879, Validation Accuracy: 0.9890
+  Training Loss: 0.0497, Validation Loss: 0.0437
+--------------------------------------------------
+Epoch 6:
+  Training Accuracy: 0.9882, Validation Accuracy: 0.9912
+  Training Loss: 0.0423, Validation Loss: 0.0370
+--------------------------------------------------
+Epoch 7:
+  Training Accuracy: 0.9899, Validation Accuracy: 0.9918
+  Training Loss: 0.0371, Validation Loss: 0.0324
+--------------------------------------------------
+Epoch 8:
+  Training Accuracy: 0.9902, Validation Accuracy: 0.9920
+  Training Loss: 0.0333, Validation Loss: 0.0296
+--------------------------------------------------
+Epoch 9:
+  Training Accuracy: 0.9911, Validation Accuracy: 0.9920
+  Training Loss: 0.0298, Validation Loss: 0.0271
+--------------------------------------------------
+Epoch 10:
+  Training Accuracy: 0.9924, Validation Accuracy: 0.9920
+  Training Loss: 0.0267, Validation Loss: 0.0251
+--------------------------------------------------
+Epoch 11:
+  Training Accuracy: 0.9921, Validation Accuracy: 0.9924
+  Training Loss: 0.0252, Validation Loss: 0.0239
+--------------------------------------------------
+Epoch 12:
+  Training Accuracy: 0.9926, Validation Accuracy: 0.9924
+  Training Loss: 0.0241, Validation Loss: 0.0229
+--------------------------------------------------
+Epoch 13:
+  Training Accuracy: 0.9920, Validation Accuracy: 0.9926
+  Training Loss: 0.0237, Validation Loss: 0.0218
+--------------------------------------------------
+Epoch 14:
+  Training Accuracy: 0.9931, Validation Accuracy: 0.9928
+  Training Loss: 0.0222, Validation Loss: 0.0218
+--------------------------------------------------
+Epoch 15:
+  Training Accuracy: 0.9936, Validation Accuracy: 0.9928
+  Training Loss: 0.0208, Validation Loss: 0.0210
+--------------------------------------------------
+Epoch 16:
+  Training Accuracy: 0.9939, Validation Accuracy: 0.9938
+  Training Loss: 0.0207, Validation Loss: 0.0190
+--------------------------------------------------
+Epoch 17:
+  Training Accuracy: 0.9937, Validation Accuracy: 0.9934
+  Training Loss: 0.0198, Validation Loss: 0.0184
+--------------------------------------------------
+Epoch 18:
+  Training Accuracy: 0.9941, Validation Accuracy: 0.9936
+  Training Loss: 0.0188, Validation Loss: 0.0188
+--------------------------------------------------
+Epoch 19:
+  Training Accuracy: 0.9944, Validation Accuracy: 0.9936
+  Training Loss: 0.0184, Validation Loss: 0.0187
+--------------------------------------------------
+Epoch 20:
+  Training Accuracy: 0.9944, Validation Accuracy: 0.9938
+  Training Loss: 0.0176, Validation Loss: 0.0180
+--------------------------------------------------
+Epoch 21:
+  Training Accuracy: 0.9947, Validation Accuracy: 0.9936
+  Training Loss: 0.0171, Validation Loss: 0.0178
+--------------------------------------------------
+Epoch 22:
+  Training Accuracy: 0.9944, Validation Accuracy: 0.9948
+  Training Loss: 0.0186, Validation Loss: 0.0159
+--------------------------------------------------
+Epoch 23:
+  Training Accuracy: 0.9946, Validation Accuracy: 0.9948
+  Training Loss: 0.0166, Validation Loss: 0.0167
+--------------------------------------------------
+Epoch 24:
+  Training Accuracy: 0.9947, Validation Accuracy: 0.9934
+  Training Loss: 0.0167, Validation Loss: 0.0172
+--------------------------------------------------
+Epoch 25:
+  Training Accuracy: 0.9951, Validation Accuracy: 0.9954
+  Training Loss: 0.0156, Validation Loss: 0.0155
+--------------------------------------------------
+Epoch 26:
+  Training Accuracy: 0.9947, Validation Accuracy: 0.9936
+  Training Loss: 0.0161, Validation Loss: 0.0173
+--------------------------------------------------
+Epoch 27:
+  Training Accuracy: 0.9950, Validation Accuracy: 0.9950
+  Training Loss: 0.0152, Validation Loss: 0.0153
+--------------------------------------------------
+Epoch 28:
+  Training Accuracy: 0.9947, Validation Accuracy: 0.9940
+  Training Loss: 0.0159, Validation Loss: 0.0162
+--------------------------------------------------
+Epoch 29:
+  Training Accuracy: 0.9946, Validation Accuracy: 0.9960
+  Training Loss: 0.0164, Validation Loss: 0.0141
+--------------------------------------------------
+Epoch 30:
+  Training Accuracy: 0.9958, Validation Accuracy: 0.9952
+  Training Loss: 0.0141, Validation Loss: 0.0147
+--------------------------------------------------