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MobileNetV2/BINARY_MobileNetV2_Round5/BINARY_MobileNetV2_Round5.keras CHANGED
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MobileNetV2/BINARY_MobileNetV2_Round5/classification_metrics.txt CHANGED
@@ -1,12 +1,12 @@
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- Precision: 0.9984
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- Recall: 1.0000
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- Sensitivity: 1.0000
4
- Specificity: 0.9984
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- F1-Score: 0.9992
6
  AUC: 1.0000
7
- MCC: 0.9984
8
- Cohen's Kappa: 0.9984
9
- Balanced Accuracy: 0.9992
10
- Jaccard Index: 0.9984
11
- Log Loss: 0.0019
12
- F0.5-Score: 0.9987
 
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+ Precision: 1.0000
2
+ Recall: 0.9977
3
+ Sensitivity: 0.9977
4
+ Specificity: 1.0000
5
+ F1-Score: 0.9988
6
  AUC: 1.0000
7
+ MCC: 0.9977
8
+ Cohen's Kappa: 0.9977
9
+ Balanced Accuracy: 0.9988
10
+ Jaccard Index: 0.9977
11
+ Log Loss: 0.0031
12
+ F0.5-Score: 0.9995
MobileNetV2/BINARY_MobileNetV2_Round5/confusion_matrix.png CHANGED
MobileNetV2/BINARY_MobileNetV2_Round5/roc_curve.png CHANGED
MobileNetV2/BINARY_MobileNetV2_Round5/testing_metrics.txt CHANGED
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- accuracy: 0.9992
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  auc: 1.0000
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- loss: 0.0019
 
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+ accuracy: 0.9988
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  auc: 1.0000
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+ loss: 0.0031
MobileNetV2/BINARY_MobileNetV2_Round5/training_accuracy.png CHANGED
MobileNetV2/BINARY_MobileNetV2_Round5/training_loss.png CHANGED
MobileNetV2/BINARY_MobileNetV2_Round5/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9675
5
  Validation Accuracy: 0.9926
6
- Training Loss: 0.0900
7
- Validation Loss: 0.0224
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9954
11
- Validation Accuracy: 0.9934
12
- Training Loss: 0.0162
13
- Validation Loss: 0.0155
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9968
17
- Validation Accuracy: 0.9946
18
- Training Loss: 0.0100
19
- Validation Loss: 0.0132
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9980
23
- Validation Accuracy: 0.9972
24
- Training Loss: 0.0073
25
- Validation Loss: 0.0082
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9983
29
- Validation Accuracy: 0.9968
30
- Training Loss: 0.0061
31
- Validation Loss: 0.0087
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9982
35
- Validation Accuracy: 0.9964
36
- Training Loss: 0.0058
37
- Validation Loss: 0.0106
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9992
41
- Validation Accuracy: 0.9972
42
- Training Loss: 0.0037
43
- Validation Loss: 0.0080
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9992
47
- Validation Accuracy: 0.9974
48
- Training Loss: 0.0037
49
- Validation Loss: 0.0067
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9995
53
- Validation Accuracy: 0.9978
54
- Training Loss: 0.0022
55
- Validation Loss: 0.0064
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9990
59
- Validation Accuracy: 0.9978
60
- Training Loss: 0.0029
61
- Validation Loss: 0.0062
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9995
65
  Validation Accuracy: 0.9982
66
- Training Loss: 0.0022
67
  Validation Loss: 0.0051
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9985
71
- Validation Accuracy: 0.9982
72
  Training Loss: 0.0035
73
- Validation Loss: 0.0049
74
  --------------------------------------------------
75
  Epoch 13
76
  Training Accuracy: 0.9994
77
- Validation Accuracy: 0.9986
78
- Training Loss: 0.0018
79
- Validation Loss: 0.0044
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9993
83
- Validation Accuracy: 0.9972
84
- Training Loss: 0.0022
85
- Validation Loss: 0.0080
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9996
89
- Validation Accuracy: 0.9986
90
- Training Loss: 0.0013
91
- Validation Loss: 0.0052
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9994
95
- Validation Accuracy: 0.9984
96
- Training Loss: 0.0017
97
- Validation Loss: 0.0056
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9997
101
- Validation Accuracy: 0.9990
102
- Training Loss: 0.0011
103
- Validation Loss: 0.0037
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9997
107
- Validation Accuracy: 0.9976
108
- Training Loss: 0.0012
109
- Validation Loss: 0.0081
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9996
113
- Validation Accuracy: 0.9984
114
- Training Loss: 0.0014
115
- Validation Loss: 0.0041
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9995
119
- Validation Accuracy: 0.9978
120
- Training Loss: 0.0015
121
- Validation Loss: 0.0066
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9995
125
- Validation Accuracy: 0.9986
126
- Training Loss: 0.0013
127
- Validation Loss: 0.0050
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 0.9996
131
- Validation Accuracy: 0.9988
132
- Training Loss: 0.0010
133
- Validation Loss: 0.0047
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9996
137
- Validation Accuracy: 0.9978
138
- Training Loss: 0.0013
139
- Validation Loss: 0.0063
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9997
143
- Validation Accuracy: 0.9984
144
- Training Loss: 0.0010
145
- Validation Loss: 0.0063
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9997
149
- Validation Accuracy: 0.9988
150
- Training Loss: 0.0010
151
- Validation Loss: 0.0048
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9997
155
- Validation Accuracy: 0.9988
156
- Training Loss: 0.0008
157
- Validation Loss: 0.0041
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9998
161
  Validation Accuracy: 0.9980
162
- Training Loss: 0.0009
163
- Validation Loss: 0.0056
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9994
167
- Validation Accuracy: 0.9980
168
- Training Loss: 0.0013
169
- Validation Loss: 0.0072
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9997
173
  Validation Accuracy: 0.9984
174
- Training Loss: 0.0007
175
- Validation Loss: 0.0058
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9999
179
- Validation Accuracy: 0.9990
180
- Training Loss: 0.0005
181
- Validation Loss: 0.0046
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9738
5
  Validation Accuracy: 0.9926
6
+ Training Loss: 0.0755
7
+ Validation Loss: 0.0249
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9948
11
+ Validation Accuracy: 0.9919
12
+ Training Loss: 0.0164
13
+ Validation Loss: 0.0226
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9970
17
+ Validation Accuracy: 0.9973
18
+ Training Loss: 0.0106
19
+ Validation Loss: 0.0096
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9975
23
+ Validation Accuracy: 0.9964
24
+ Training Loss: 0.0075
25
+ Validation Loss: 0.0113
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9979
29
+ Validation Accuracy: 0.9972
30
+ Training Loss: 0.0067
31
+ Validation Loss: 0.0080
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9982
35
+ Validation Accuracy: 0.9970
36
+ Training Loss: 0.0055
37
+ Validation Loss: 0.0093
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9984
41
+ Validation Accuracy: 0.9967
42
+ Training Loss: 0.0053
43
+ Validation Loss: 0.0107
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9987
47
+ Validation Accuracy: 0.9972
48
+ Training Loss: 0.0044
49
+ Validation Loss: 0.0088
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9988
53
+ Validation Accuracy: 0.9985
54
+ Training Loss: 0.0039
55
+ Validation Loss: 0.0045
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9986
59
+ Validation Accuracy: 0.9972
60
+ Training Loss: 0.0040
61
+ Validation Loss: 0.0087
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9987
65
  Validation Accuracy: 0.9982
66
+ Training Loss: 0.0039
67
  Validation Loss: 0.0051
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9989
71
+ Validation Accuracy: 0.9985
72
  Training Loss: 0.0035
73
+ Validation Loss: 0.0044
74
  --------------------------------------------------
75
  Epoch 13
76
  Training Accuracy: 0.9994
77
+ Validation Accuracy: 0.9971
78
+ Training Loss: 0.0023
79
+ Validation Loss: 0.0081
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9989
83
+ Validation Accuracy: 0.9967
84
+ Training Loss: 0.0029
85
+ Validation Loss: 0.0096
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9993
89
+ Validation Accuracy: 0.9985
90
+ Training Loss: 0.0022
91
+ Validation Loss: 0.0044
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9990
95
+ Validation Accuracy: 0.9990
96
+ Training Loss: 0.0030
97
+ Validation Loss: 0.0025
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9992
101
+ Validation Accuracy: 0.9976
102
+ Training Loss: 0.0028
103
+ Validation Loss: 0.0066
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9994
107
+ Validation Accuracy: 0.9973
108
+ Training Loss: 0.0017
109
+ Validation Loss: 0.0078
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9991
113
+ Validation Accuracy: 0.9980
114
+ Training Loss: 0.0024
115
+ Validation Loss: 0.0055
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9994
119
+ Validation Accuracy: 0.9980
120
+ Training Loss: 0.0019
121
+ Validation Loss: 0.0057
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9994
125
+ Validation Accuracy: 0.9980
126
+ Training Loss: 0.0020
127
+ Validation Loss: 0.0063
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 0.9996
131
+ Validation Accuracy: 0.9982
132
+ Training Loss: 0.0014
133
+ Validation Loss: 0.0055
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9995
137
+ Validation Accuracy: 0.9985
138
+ Training Loss: 0.0015
139
+ Validation Loss: 0.0050
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9994
143
+ Validation Accuracy: 0.9967
144
+ Training Loss: 0.0019
145
+ Validation Loss: 0.0103
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9993
149
+ Validation Accuracy: 0.9986
150
+ Training Loss: 0.0019
151
+ Validation Loss: 0.0037
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9993
155
+ Validation Accuracy: 0.9975
156
+ Training Loss: 0.0017
157
+ Validation Loss: 0.0084
158
  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9995
161
  Validation Accuracy: 0.9980
162
+ Training Loss: 0.0015
163
+ Validation Loss: 0.0053
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9995
167
+ Validation Accuracy: 0.9976
168
+ Training Loss: 0.0014
169
+ Validation Loss: 0.0054
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9997
173
  Validation Accuracy: 0.9984
174
+ Training Loss: 0.0013
175
+ Validation Loss: 0.0043
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9996
179
+ Validation Accuracy: 0.9982
180
+ Training Loss: 0.0014
181
+ Validation Loss: 0.0041
182
  --------------------------------------------------