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  1. MobileNetV2/BINARY_MobileNetV2_Round1/BINARY_MobileNetV2_Round1.keras +1 -1
  2. MobileNetV2/BINARY_MobileNetV2_Round1/classification_metrics.txt +9 -9
  3. MobileNetV2/BINARY_MobileNetV2_Round1/confusion_matrix.png +0 -0
  4. MobileNetV2/BINARY_MobileNetV2_Round1/roc_curve.png +0 -0
  5. MobileNetV2/BINARY_MobileNetV2_Round1/testing_metrics.txt +2 -2
  6. MobileNetV2/BINARY_MobileNetV2_Round1/training_accuracy.png +0 -0
  7. MobileNetV2/BINARY_MobileNetV2_Round1/training_loss.png +0 -0
  8. MobileNetV2/BINARY_MobileNetV2_Round1/training_validation_metrics.txt +108 -108
  9. MobileNetV2/BINARY_MobileNetV2_Round2/BINARY_MobileNetV2_Round2.keras +1 -1
  10. MobileNetV2/BINARY_MobileNetV2_Round2/classification_metrics.txt +11 -11
  11. MobileNetV2/BINARY_MobileNetV2_Round2/confusion_matrix.png +0 -0
  12. MobileNetV2/BINARY_MobileNetV2_Round2/roc_curve.png +0 -0
  13. MobileNetV2/BINARY_MobileNetV2_Round2/testing_metrics.txt +2 -2
  14. MobileNetV2/BINARY_MobileNetV2_Round2/training_accuracy.png +0 -0
  15. MobileNetV2/BINARY_MobileNetV2_Round2/training_loss.png +0 -0
  16. MobileNetV2/BINARY_MobileNetV2_Round2/training_validation_metrics.txt +103 -103
  17. MobileNetV2/BINARY_MobileNetV2_Round3/BINARY_MobileNetV2_Round3.keras +1 -1
  18. MobileNetV2/BINARY_MobileNetV2_Round3/classification_metrics.txt +9 -9
  19. MobileNetV2/BINARY_MobileNetV2_Round3/confusion_matrix.png +0 -0
  20. MobileNetV2/BINARY_MobileNetV2_Round3/roc_curve.png +0 -0
  21. MobileNetV2/BINARY_MobileNetV2_Round3/testing_metrics.txt +2 -2
  22. MobileNetV2/BINARY_MobileNetV2_Round3/training_accuracy.png +0 -0
  23. MobileNetV2/BINARY_MobileNetV2_Round3/training_loss.png +0 -0
  24. MobileNetV2/BINARY_MobileNetV2_Round3/training_validation_metrics.txt +111 -111
  25. MobileNetV2/BINARY_MobileNetV2_Round4/BINARY_MobileNetV2_Round4.keras +1 -1
  26. MobileNetV2/BINARY_MobileNetV2_Round4/classification_metrics.txt +9 -9
  27. MobileNetV2/BINARY_MobileNetV2_Round4/confusion_matrix.png +0 -0
  28. MobileNetV2/BINARY_MobileNetV2_Round4/roc_curve.png +0 -0
  29. MobileNetV2/BINARY_MobileNetV2_Round4/testing_metrics.txt +3 -3
  30. MobileNetV2/BINARY_MobileNetV2_Round4/training_accuracy.png +0 -0
  31. MobileNetV2/BINARY_MobileNetV2_Round4/training_loss.png +0 -0
  32. MobileNetV2/BINARY_MobileNetV2_Round4/training_validation_metrics.txt +115 -115
  33. MobileNetV2/BINARY_MobileNetV2_Round5/BINARY_MobileNetV2_Round5.keras +1 -1
  34. MobileNetV2/BINARY_MobileNetV2_Round5/classification_metrics.txt +9 -9
  35. MobileNetV2/BINARY_MobileNetV2_Round5/confusion_matrix.png +0 -0
  36. MobileNetV2/BINARY_MobileNetV2_Round5/roc_curve.png +0 -0
  37. MobileNetV2/BINARY_MobileNetV2_Round5/testing_metrics.txt +2 -2
  38. MobileNetV2/BINARY_MobileNetV2_Round5/training_accuracy.png +0 -0
  39. MobileNetV2/BINARY_MobileNetV2_Round5/training_loss.png +0 -0
  40. MobileNetV2/BINARY_MobileNetV2_Round5/training_validation_metrics.txt +113 -113
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@@ -1,12 +1,12 @@
1
- Precision: 0.9992
2
  Recall: 1.0000
3
  Sensitivity: 1.0000
4
- Specificity: 0.9992
5
- F1-Score: 0.9996
6
  AUC: 1.0000
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- MCC: 0.9992
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- Cohen's Kappa: 0.9992
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- Balanced Accuracy: 0.9996
10
- Jaccard Index: 0.9992
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- Log Loss: 0.0016
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- F0.5-Score: 0.9994
 
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  AUC: 1.0000
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+ MCC: 0.9984
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+ Cohen's Kappa: 0.9984
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+ Balanced Accuracy: 0.9992
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+ Jaccard Index: 0.9984
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MobileNetV2/BINARY_MobileNetV2_Round1/roc_curve.png CHANGED
MobileNetV2/BINARY_MobileNetV2_Round1/testing_metrics.txt CHANGED
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- accuracy: 0.9996
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- loss: 0.0016
 
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MobileNetV2/BINARY_MobileNetV2_Round1/training_loss.png CHANGED
MobileNetV2/BINARY_MobileNetV2_Round1/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9642
5
- Validation Accuracy: 0.9922
6
- Training Loss: 0.0956
7
- Validation Loss: 0.0253
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9950
11
- Validation Accuracy: 0.9934
12
- Training Loss: 0.0169
13
- Validation Loss: 0.0170
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9971
17
- Validation Accuracy: 0.9956
18
- Training Loss: 0.0105
19
- Validation Loss: 0.0123
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9977
23
- Validation Accuracy: 0.9960
24
- Training Loss: 0.0076
25
- Validation Loss: 0.0111
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9979
29
- Validation Accuracy: 0.9970
30
- Training Loss: 0.0063
31
- Validation Loss: 0.0074
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9986
35
  Validation Accuracy: 0.9972
36
- Training Loss: 0.0049
37
- Validation Loss: 0.0067
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9987
41
- Validation Accuracy: 0.9972
42
- Training Loss: 0.0054
43
- Validation Loss: 0.0073
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9986
47
- Validation Accuracy: 0.9984
48
- Training Loss: 0.0043
49
- Validation Loss: 0.0056
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9990
53
- Validation Accuracy: 0.9986
54
- Training Loss: 0.0039
55
- Validation Loss: 0.0050
56
  --------------------------------------------------
57
  Epoch 10
58
  Training Accuracy: 0.9991
59
- Validation Accuracy: 0.9978
60
- Training Loss: 0.0032
61
- Validation Loss: 0.0060
62
  --------------------------------------------------
63
  Epoch 11
64
  Training Accuracy: 0.9991
65
- Validation Accuracy: 0.9982
66
- Training Loss: 0.0027
67
- Validation Loss: 0.0057
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9991
71
- Validation Accuracy: 0.9986
72
- Training Loss: 0.0022
73
- Validation Loss: 0.0042
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9993
77
  Validation Accuracy: 0.9982
78
- Training Loss: 0.0024
79
- Validation Loss: 0.0050
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9997
83
- Validation Accuracy: 0.9980
84
- Training Loss: 0.0014
85
- Validation Loss: 0.0063
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9993
89
- Validation Accuracy: 0.9982
90
- Training Loss: 0.0019
91
- Validation Loss: 0.0048
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 0.9998
95
- Validation Accuracy: 0.9984
96
- Training Loss: 0.0009
97
- Validation Loss: 0.0053
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9998
101
- Validation Accuracy: 0.9980
102
- Training Loss: 0.0012
103
- Validation Loss: 0.0064
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 0.9997
107
- Validation Accuracy: 0.9976
108
- Training Loss: 0.0011
109
- Validation Loss: 0.0067
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9998
113
- Validation Accuracy: 0.9972
114
  Training Loss: 0.0011
115
- Validation Loss: 0.0080
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 0.9996
119
- Validation Accuracy: 0.9986
120
- Training Loss: 0.0015
121
- Validation Loss: 0.0036
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9995
125
- Validation Accuracy: 0.9980
126
- Training Loss: 0.0014
127
- Validation Loss: 0.0058
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9996
131
- Validation Accuracy: 0.9982
132
- Training Loss: 0.0012
133
- Validation Loss: 0.0058
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9998
137
- Validation Accuracy: 0.9980
138
- Training Loss: 0.0007
139
- Validation Loss: 0.0061
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9997
143
- Validation Accuracy: 0.9976
144
- Training Loss: 0.0007
145
- Validation Loss: 0.0081
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9997
149
- Validation Accuracy: 0.9984
150
- Training Loss: 0.0009
151
- Validation Loss: 0.0052
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 0.9997
155
- Validation Accuracy: 0.9970
156
- Training Loss: 0.0010
157
- Validation Loss: 0.0085
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9998
161
  Validation Accuracy: 0.9982
162
- Training Loss: 0.0008
163
- Validation Loss: 0.0056
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9999
167
- Validation Accuracy: 0.9980
168
- Training Loss: 0.0005
169
- Validation Loss: 0.0066
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 0.9997
173
- Validation Accuracy: 0.9978
174
  Training Loss: 0.0007
175
- Validation Loss: 0.0070
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9997
179
- Validation Accuracy: 0.9988
180
- Training Loss: 0.0011
181
- Validation Loss: 0.0048
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9715
5
+ Validation Accuracy: 0.9934
6
+ Training Loss: 0.0797
7
+ Validation Loss: 0.0216
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9962
11
+ Validation Accuracy: 0.9940
12
+ Training Loss: 0.0152
13
+ Validation Loss: 0.0156
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9974
17
+ Validation Accuracy: 0.9964
18
+ Training Loss: 0.0087
19
+ Validation Loss: 0.0098
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9974
23
+ Validation Accuracy: 0.9982
24
+ Training Loss: 0.0079
25
+ Validation Loss: 0.0065
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9981
29
+ Validation Accuracy: 0.9972
30
+ Training Loss: 0.0065
31
+ Validation Loss: 0.0069
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9986
35
  Validation Accuracy: 0.9972
36
+ Training Loss: 0.0050
37
+ Validation Loss: 0.0065
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9991
41
+ Validation Accuracy: 0.9984
42
+ Training Loss: 0.0038
43
+ Validation Loss: 0.0054
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9993
47
+ Validation Accuracy: 0.9980
48
+ Training Loss: 0.0035
49
+ Validation Loss: 0.0059
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9991
53
+ Validation Accuracy: 0.9984
54
+ Training Loss: 0.0028
55
+ Validation Loss: 0.0053
56
  --------------------------------------------------
57
  Epoch 10
58
  Training Accuracy: 0.9991
59
+ Validation Accuracy: 0.9980
60
+ Training Loss: 0.0029
61
+ Validation Loss: 0.0059
62
  --------------------------------------------------
63
  Epoch 11
64
  Training Accuracy: 0.9991
65
+ Validation Accuracy: 0.9972
66
+ Training Loss: 0.0028
67
+ Validation Loss: 0.0067
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9994
71
+ Validation Accuracy: 0.9980
72
+ Training Loss: 0.0023
73
+ Validation Loss: 0.0052
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9996
77
  Validation Accuracy: 0.9982
78
+ Training Loss: 0.0016
79
+ Validation Loss: 0.0049
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9994
83
+ Validation Accuracy: 0.9988
84
+ Training Loss: 0.0018
85
+ Validation Loss: 0.0042
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9995
89
+ Validation Accuracy: 0.9986
90
+ Training Loss: 0.0013
91
+ Validation Loss: 0.0045
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 0.9998
95
+ Validation Accuracy: 0.9988
96
+ Training Loss: 0.0010
97
+ Validation Loss: 0.0040
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9997
101
+ Validation Accuracy: 0.9992
102
+ Training Loss: 0.0017
103
+ Validation Loss: 0.0030
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 0.9997
107
+ Validation Accuracy: 0.9988
108
+ Training Loss: 0.0009
109
+ Validation Loss: 0.0042
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9997
113
+ Validation Accuracy: 0.9988
114
  Training Loss: 0.0011
115
+ Validation Loss: 0.0045
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 0.9996
119
+ Validation Accuracy: 0.9982
120
+ Training Loss: 0.0012
121
+ Validation Loss: 0.0052
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9994
125
+ Validation Accuracy: 0.9982
126
+ Training Loss: 0.0017
127
+ Validation Loss: 0.0052
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9993
131
+ Validation Accuracy: 0.9986
132
+ Training Loss: 0.0019
133
+ Validation Loss: 0.0041
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9993
137
+ Validation Accuracy: 0.9984
138
+ Training Loss: 0.0017
139
+ Validation Loss: 0.0049
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9994
143
+ Validation Accuracy: 0.9990
144
+ Training Loss: 0.0017
145
+ Validation Loss: 0.0035
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9999
149
+ Validation Accuracy: 0.9988
150
+ Training Loss: 0.0007
151
+ Validation Loss: 0.0043
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 0.9997
155
+ Validation Accuracy: 0.9988
156
+ Training Loss: 0.0008
157
+ Validation Loss: 0.0051
158
  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9999
161
  Validation Accuracy: 0.9982
162
+ Training Loss: 0.0006
163
+ Validation Loss: 0.0048
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9997
167
+ Validation Accuracy: 0.9988
168
+ Training Loss: 0.0011
169
+ Validation Loss: 0.0035
170
  --------------------------------------------------
171
  Epoch 29
172
+ Training Accuracy: 0.9998
173
+ Validation Accuracy: 0.9980
174
  Training Loss: 0.0007
175
+ Validation Loss: 0.0060
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9999
179
+ Validation Accuracy: 0.9982
180
+ Training Loss: 0.0005
181
+ Validation Loss: 0.0050
182
  --------------------------------------------------
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MobileNetV2/BINARY_MobileNetV2_Round2/classification_metrics.txt CHANGED
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1
- Precision: 0.9984
2
- Recall: 1.0000
3
- Sensitivity: 1.0000
4
- Specificity: 0.9984
5
- 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: 0.0029
12
- F0.5-Score: 0.9987
 
1
+ Precision: 0.9992
2
+ Recall: 0.9984
3
+ Sensitivity: 0.9984
4
+ Specificity: 0.9992
5
+ F1-Score: 0.9988
6
  AUC: 1.0000
7
+ MCC: 0.9976
8
+ Cohen's Kappa: 0.9976
9
+ Balanced Accuracy: 0.9988
10
+ Jaccard Index: 0.9976
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+ Log Loss: 0.0022
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MobileNetV2/BINARY_MobileNetV2_Round2/testing_metrics.txt CHANGED
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- loss: 0.0029
 
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MobileNetV2/BINARY_MobileNetV2_Round2/training_loss.png CHANGED
MobileNetV2/BINARY_MobileNetV2_Round2/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9729
5
- Validation Accuracy: 0.9934
6
- Training Loss: 0.0786
7
- Validation Loss: 0.0215
8
  --------------------------------------------------
9
  Epoch 2
10
  Training Accuracy: 0.9959
11
- Validation Accuracy: 0.9946
12
- Training Loss: 0.0150
13
- Validation Loss: 0.0152
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9973
17
- Validation Accuracy: 0.9950
18
- Training Loss: 0.0104
19
- Validation Loss: 0.0132
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9974
23
- Validation Accuracy: 0.9954
24
- Training Loss: 0.0076
25
- Validation Loss: 0.0118
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9985
29
- Validation Accuracy: 0.9966
30
- Training Loss: 0.0055
31
- Validation Loss: 0.0081
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9983
35
- Validation Accuracy: 0.9978
36
- Training Loss: 0.0057
37
  Validation Loss: 0.0070
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9985
41
- Validation Accuracy: 0.9972
42
- Training Loss: 0.0049
43
- Validation Loss: 0.0071
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9989
47
- Validation Accuracy: 0.9982
48
- Training Loss: 0.0035
49
- Validation Loss: 0.0060
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9990
53
- Validation Accuracy: 0.9978
54
- Training Loss: 0.0031
55
- Validation Loss: 0.0064
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9992
59
- Validation Accuracy: 0.9982
60
- Training Loss: 0.0028
61
- Validation Loss: 0.0053
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9993
65
- Validation Accuracy: 0.9988
66
- Training Loss: 0.0025
67
- Validation Loss: 0.0045
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 0.9993
71
- Validation Accuracy: 0.9988
72
- Training Loss: 0.0021
73
- Validation Loss: 0.0047
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9993
77
- Validation Accuracy: 0.9982
78
- Training Loss: 0.0024
79
- Validation Loss: 0.0052
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 0.9994
83
- Validation Accuracy: 0.9978
84
- Training Loss: 0.0018
85
- Validation Loss: 0.0056
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 0.9995
89
  Validation Accuracy: 0.9980
90
- Training Loss: 0.0016
91
- Validation Loss: 0.0059
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9996
95
- Validation Accuracy: 0.9982
96
- Training Loss: 0.0014
97
  Validation Loss: 0.0054
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9993
101
- Validation Accuracy: 0.9986
102
- Training Loss: 0.0019
103
- Validation Loss: 0.0045
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 0.9996
107
- Validation Accuracy: 0.9982
108
- Training Loss: 0.0014
109
- Validation Loss: 0.0048
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9995
113
- Validation Accuracy: 0.9980
114
- Training Loss: 0.0012
115
- Validation Loss: 0.0057
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9997
119
- Validation Accuracy: 0.9982
120
  Training Loss: 0.0013
121
- Validation Loss: 0.0063
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9998
125
- Validation Accuracy: 0.9986
126
- Training Loss: 0.0011
127
- Validation Loss: 0.0056
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 0.9999
131
- Validation Accuracy: 0.9982
132
- Training Loss: 0.0007
133
- Validation Loss: 0.0062
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9999
137
- Validation Accuracy: 0.9984
138
  Training Loss: 0.0007
139
- Validation Loss: 0.0058
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9999
143
- Validation Accuracy: 0.9976
144
- Training Loss: 0.0005
145
- Validation Loss: 0.0084
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
149
- Validation Accuracy: 0.9982
150
- Training Loss: 0.0005
151
- Validation Loss: 0.0064
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9997
155
- Validation Accuracy: 0.9990
156
- Training Loss: 0.0010
157
- Validation Loss: 0.0037
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 0.9998
161
- Validation Accuracy: 0.9986
162
  Training Loss: 0.0007
163
- Validation Loss: 0.0059
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 0.9998
167
- Validation Accuracy: 0.9984
168
- Training Loss: 0.0010
169
- Validation Loss: 0.0075
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9997
173
- Validation Accuracy: 0.9986
174
- Training Loss: 0.0010
175
- Validation Loss: 0.0052
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9999
179
  Validation Accuracy: 0.9988
180
- Training Loss: 0.0004
181
- Validation Loss: 0.0053
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9722
5
+ Validation Accuracy: 0.9932
6
+ Training Loss: 0.0819
7
+ Validation Loss: 0.0210
8
  --------------------------------------------------
9
  Epoch 2
10
  Training Accuracy: 0.9959
11
+ Validation Accuracy: 0.9948
12
+ Training Loss: 0.0153
13
+ Validation Loss: 0.0130
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9965
17
+ Validation Accuracy: 0.9964
18
+ Training Loss: 0.0108
19
+ Validation Loss: 0.0098
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9977
23
+ Validation Accuracy: 0.9972
24
+ Training Loss: 0.0085
25
+ Validation Loss: 0.0081
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9981
29
+ Validation Accuracy: 0.9972
30
+ Training Loss: 0.0066
31
+ Validation Loss: 0.0080
32
  --------------------------------------------------
33
  Epoch 6
34
  Training Accuracy: 0.9983
35
+ Validation Accuracy: 0.9976
36
+ Training Loss: 0.0051
37
  Validation Loss: 0.0070
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9989
41
+ Validation Accuracy: 0.9988
42
+ Training Loss: 0.0044
43
+ Validation Loss: 0.0053
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9988
47
+ Validation Accuracy: 0.9984
48
+ Training Loss: 0.0038
49
+ Validation Loss: 0.0049
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9993
53
+ Validation Accuracy: 0.9976
54
+ Training Loss: 0.0028
55
+ Validation Loss: 0.0070
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9993
59
+ Validation Accuracy: 0.9974
60
+ Training Loss: 0.0029
61
+ Validation Loss: 0.0065
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9994
65
+ Validation Accuracy: 0.9986
66
+ Training Loss: 0.0018
67
+ Validation Loss: 0.0051
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 0.9993
71
+ Validation Accuracy: 0.9984
72
+ Training Loss: 0.0024
73
+ Validation Loss: 0.0048
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9994
77
+ Validation Accuracy: 0.9986
78
+ Training Loss: 0.0019
79
+ Validation Loss: 0.0044
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 0.9994
83
+ Validation Accuracy: 0.9986
84
+ Training Loss: 0.0017
85
+ Validation Loss: 0.0042
86
  --------------------------------------------------
87
  Epoch 15
88
  Training Accuracy: 0.9995
89
  Validation Accuracy: 0.9980
90
+ Training Loss: 0.0017
91
+ Validation Loss: 0.0063
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9994
95
+ Validation Accuracy: 0.9984
96
+ Training Loss: 0.0015
97
  Validation Loss: 0.0054
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9996
101
+ Validation Accuracy: 0.9988
102
+ Training Loss: 0.0014
103
+ Validation Loss: 0.0040
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 0.9996
107
+ Validation Accuracy: 0.9980
108
+ Training Loss: 0.0013
109
+ Validation Loss: 0.0056
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9998
113
+ Validation Accuracy: 0.9986
114
+ Training Loss: 0.0008
115
+ Validation Loss: 0.0059
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9996
119
+ Validation Accuracy: 0.9990
120
  Training Loss: 0.0013
121
+ Validation Loss: 0.0038
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9995
125
+ Validation Accuracy: 0.9988
126
+ Training Loss: 0.0014
127
+ Validation Loss: 0.0049
128
  --------------------------------------------------
129
  Epoch 22
130
  Training Accuracy: 0.9999
131
+ Validation Accuracy: 0.9990
132
+ Training Loss: 0.0006
133
+ Validation Loss: 0.0038
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9998
137
+ Validation Accuracy: 0.9986
138
  Training Loss: 0.0007
139
+ Validation Loss: 0.0053
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9998
143
+ Validation Accuracy: 0.9982
144
+ Training Loss: 0.0009
145
+ Validation Loss: 0.0049
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9998
149
+ Validation Accuracy: 0.9986
150
+ Training Loss: 0.0008
151
+ Validation Loss: 0.0054
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 1.0000
155
+ Validation Accuracy: 0.9986
156
+ Training Loss: 0.0003
157
+ Validation Loss: 0.0048
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 0.9998
161
+ Validation Accuracy: 0.9976
162
  Training Loss: 0.0007
163
+ Validation Loss: 0.0078
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 0.9998
167
+ Validation Accuracy: 0.9980
168
+ Training Loss: 0.0007
169
+ Validation Loss: 0.0058
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 0.9997
173
+ Validation Accuracy: 0.9988
174
+ Training Loss: 0.0007
175
+ Validation Loss: 0.0057
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9997
179
  Validation Accuracy: 0.9988
180
+ Training Loss: 0.0008
181
+ Validation Loss: 0.0047
182
  --------------------------------------------------
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- Precision: 0.9984
2
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3
  Sensitivity: 1.0000
4
- Specificity: 0.9984
5
- 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: 0.0027
12
- F0.5-Score: 0.9987
 
1
+ Precision: 0.9976
2
  Recall: 1.0000
3
  Sensitivity: 1.0000
4
+ Specificity: 0.9976
5
+ F1-Score: 0.9988
6
  AUC: 1.0000
7
+ MCC: 0.9976
8
+ Cohen's Kappa: 0.9976
9
+ Balanced Accuracy: 0.9988
10
+ Jaccard Index: 0.9976
11
+ Log Loss: 0.0047
12
+ F0.5-Score: 0.9981
MobileNetV2/BINARY_MobileNetV2_Round3/confusion_matrix.png CHANGED
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MobileNetV2/BINARY_MobileNetV2_Round3/testing_metrics.txt CHANGED
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- loss: 0.0027
 
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MobileNetV2/BINARY_MobileNetV2_Round3/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9684
5
- Validation Accuracy: 0.9918
6
- Training Loss: 0.0875
7
- Validation Loss: 0.0234
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9958
11
- Validation Accuracy: 0.9942
12
- Training Loss: 0.0163
13
- Validation Loss: 0.0160
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9970
17
- Validation Accuracy: 0.9948
18
- Training Loss: 0.0100
19
- Validation Loss: 0.0122
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9981
23
- Validation Accuracy: 0.9966
24
- Training Loss: 0.0070
25
- Validation Loss: 0.0095
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9983
29
- Validation Accuracy: 0.9962
30
  Training Loss: 0.0060
31
- Validation Loss: 0.0108
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9985
35
- Validation Accuracy: 0.9978
36
- Training Loss: 0.0052
37
- Validation Loss: 0.0068
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9990
41
- Validation Accuracy: 0.9982
42
- Training Loss: 0.0037
43
- Validation Loss: 0.0057
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9990
47
- Validation Accuracy: 0.9980
48
- Training Loss: 0.0042
49
- Validation Loss: 0.0061
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9990
53
- Validation Accuracy: 0.9982
54
- Training Loss: 0.0033
55
- Validation Loss: 0.0052
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9994
59
- Validation Accuracy: 0.9982
60
- Training Loss: 0.0025
61
- Validation Loss: 0.0059
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9993
65
- Validation Accuracy: 0.9982
66
- Training Loss: 0.0024
67
- Validation Loss: 0.0050
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9996
71
- Validation Accuracy: 0.9982
72
- Training Loss: 0.0018
73
- Validation Loss: 0.0054
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9995
77
- Validation Accuracy: 0.9974
78
- Training Loss: 0.0016
79
- Validation Loss: 0.0078
80
- --------------------------------------------------
81
- Epoch 14
82
  Training Accuracy: 0.9997
83
  Validation Accuracy: 0.9984
84
- Training Loss: 0.0016
85
- Validation Loss: 0.0043
 
 
 
 
 
 
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9994
89
- Validation Accuracy: 0.9982
90
- Training Loss: 0.0016
91
- Validation Loss: 0.0057
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 0.9995
95
- Validation Accuracy: 0.9968
96
- Training Loss: 0.0014
97
- Validation Loss: 0.0091
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9998
101
- Validation Accuracy: 0.9978
102
- Training Loss: 0.0008
103
- Validation Loss: 0.0064
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9995
107
- Validation Accuracy: 0.9976
108
- Training Loss: 0.0017
109
- Validation Loss: 0.0064
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9995
113
  Validation Accuracy: 0.9984
114
- Training Loss: 0.0014
115
- Validation Loss: 0.0046
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 0.9997
119
- Validation Accuracy: 0.9982
120
- Training Loss: 0.0014
121
- Validation Loss: 0.0052
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9998
125
- Validation Accuracy: 0.9984
126
- Training Loss: 0.0009
127
- Validation Loss: 0.0056
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9998
131
- Validation Accuracy: 0.9984
132
- Training Loss: 0.0008
133
- Validation Loss: 0.0047
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9998
137
- Validation Accuracy: 0.9980
138
- Training Loss: 0.0005
139
- Validation Loss: 0.0056
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 0.9995
143
- Validation Accuracy: 0.9978
144
- Training Loss: 0.0012
145
- Validation Loss: 0.0070
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9997
149
- Validation Accuracy: 0.9984
150
- Training Loss: 0.0008
151
- Validation Loss: 0.0055
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 0.9998
155
- Validation Accuracy: 0.9986
156
- Training Loss: 0.0009
157
- Validation Loss: 0.0047
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 0.9998
161
- Validation Accuracy: 0.9990
162
  Training Loss: 0.0008
163
- Validation Loss: 0.0033
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9997
167
- Validation Accuracy: 0.9984
168
- Training Loss: 0.0007
169
- Validation Loss: 0.0038
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 0.9998
173
- Validation Accuracy: 0.9982
174
- Training Loss: 0.0009
175
- Validation Loss: 0.0052
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 0.9998
179
- Validation Accuracy: 0.9984
180
- Training Loss: 0.0005
181
- Validation Loss: 0.0059
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9706
5
+ Validation Accuracy: 0.9930
6
+ Training Loss: 0.0832
7
+ Validation Loss: 0.0214
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9950
11
+ Validation Accuracy: 0.9936
12
+ Training Loss: 0.0165
13
+ Validation Loss: 0.0167
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9972
17
+ Validation Accuracy: 0.9946
18
+ Training Loss: 0.0102
19
+ Validation Loss: 0.0136
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9978
23
+ Validation Accuracy: 0.9960
24
+ Training Loss: 0.0071
25
+ Validation Loss: 0.0105
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9987
29
+ Validation Accuracy: 0.9968
30
  Training Loss: 0.0060
31
+ Validation Loss: 0.0084
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9981
35
+ Validation Accuracy: 0.9968
36
+ Training Loss: 0.0057
37
+ Validation Loss: 0.0079
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9983
41
+ Validation Accuracy: 0.9968
42
+ Training Loss: 0.0048
43
+ Validation Loss: 0.0080
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9991
47
+ Validation Accuracy: 0.9974
48
+ Training Loss: 0.0033
49
+ Validation Loss: 0.0063
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9988
53
+ Validation Accuracy: 0.9976
54
+ Training Loss: 0.0036
55
+ Validation Loss: 0.0067
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9995
59
+ Validation Accuracy: 0.9978
60
+ Training Loss: 0.0018
61
+ Validation Loss: 0.0058
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9986
65
+ Validation Accuracy: 0.9984
66
+ Training Loss: 0.0033
67
+ Validation Loss: 0.0048
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9991
71
+ Validation Accuracy: 0.9988
72
+ Training Loss: 0.0031
73
+ Validation Loss: 0.0039
74
  --------------------------------------------------
75
  Epoch 13
 
 
 
 
 
 
76
  Training Accuracy: 0.9997
77
  Validation Accuracy: 0.9984
78
+ Training Loss: 0.0017
79
+ Validation Loss: 0.0055
80
+ --------------------------------------------------
81
+ Epoch 14
82
+ Training Accuracy: 0.9996
83
+ Validation Accuracy: 0.9986
84
+ Training Loss: 0.0015
85
+ Validation Loss: 0.0051
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9998
89
+ Validation Accuracy: 0.9972
90
+ Training Loss: 0.0011
91
+ Validation Loss: 0.0067
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 0.9995
95
+ Validation Accuracy: 0.9984
96
+ Training Loss: 0.0015
97
+ Validation Loss: 0.0050
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9996
101
+ Validation Accuracy: 0.9988
102
+ Training Loss: 0.0018
103
+ Validation Loss: 0.0044
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9998
107
+ Validation Accuracy: 0.9978
108
+ Training Loss: 0.0014
109
+ Validation Loss: 0.0063
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9994
113
  Validation Accuracy: 0.9984
114
+ Training Loss: 0.0020
115
+ Validation Loss: 0.0047
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 0.9997
119
+ Validation Accuracy: 0.9984
120
+ Training Loss: 0.0010
121
+ Validation Loss: 0.0049
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9997
125
+ Validation Accuracy: 0.9986
126
+ Training Loss: 0.0011
127
+ Validation Loss: 0.0038
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9997
131
+ Validation Accuracy: 0.9982
132
+ Training Loss: 0.0009
133
+ Validation Loss: 0.0054
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9999
137
+ Validation Accuracy: 0.9984
138
+ Training Loss: 0.0006
139
+ Validation Loss: 0.0041
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 0.9995
143
+ Validation Accuracy: 0.9984
144
+ Training Loss: 0.0014
145
+ Validation Loss: 0.0039
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9998
149
+ Validation Accuracy: 0.9980
150
+ Training Loss: 0.0007
151
+ Validation Loss: 0.0047
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 0.9998
155
+ Validation Accuracy: 0.9984
156
+ Training Loss: 0.0007
157
+ Validation Loss: 0.0045
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 0.9998
161
+ Validation Accuracy: 0.9992
162
  Training Loss: 0.0008
163
+ Validation Loss: 0.0031
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9999
167
+ Validation Accuracy: 0.9978
168
+ Training Loss: 0.0005
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+ Validation Loss: 0.0073
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  --------------------------------------------------
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  Epoch 29
172
+ Training Accuracy: 0.9997
173
+ Validation Accuracy: 0.9980
174
+ Training Loss: 0.0007
175
+ Validation Loss: 0.0059
176
  --------------------------------------------------
177
  Epoch 30
178
  Training Accuracy: 0.9998
179
+ Validation Accuracy: 0.9978
180
+ Training Loss: 0.0008
181
+ Validation Loss: 0.0070
182
  --------------------------------------------------
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  AUC: 1.0000
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- Cohen's Kappa: 0.9992
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- Balanced Accuracy: 0.9996
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- Jaccard Index: 0.9992
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- Log Loss: 0.0020
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+ Balanced Accuracy: 0.9992
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9671
5
- Validation Accuracy: 0.9922
6
- Training Loss: 0.0873
7
- Validation Loss: 0.0242
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9954
11
- Validation Accuracy: 0.9952
12
- Training Loss: 0.0168
13
- Validation Loss: 0.0142
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9971
17
- Validation Accuracy: 0.9968
18
- Training Loss: 0.0106
19
- Validation Loss: 0.0101
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9978
23
- Validation Accuracy: 0.9970
24
- Training Loss: 0.0077
25
- Validation Loss: 0.0086
26
  --------------------------------------------------
27
  Epoch 5
28
  Training Accuracy: 0.9982
29
- Validation Accuracy: 0.9978
30
- Training Loss: 0.0064
31
- Validation Loss: 0.0071
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9984
35
- Validation Accuracy: 0.9974
36
- Training Loss: 0.0061
37
- Validation Loss: 0.0085
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9991
41
- Validation Accuracy: 0.9984
42
- Training Loss: 0.0037
43
- Validation Loss: 0.0050
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9991
47
- Validation Accuracy: 0.9982
48
- Training Loss: 0.0038
49
- Validation Loss: 0.0056
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9992
53
- Validation Accuracy: 0.9980
54
- Training Loss: 0.0034
55
- Validation Loss: 0.0052
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9990
59
- Validation Accuracy: 0.9982
60
- Training Loss: 0.0031
61
- Validation Loss: 0.0044
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9992
65
- Validation Accuracy: 0.9984
66
- Training Loss: 0.0025
67
- Validation Loss: 0.0047
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9993
71
- Validation Accuracy: 0.9986
72
- Training Loss: 0.0022
73
- Validation Loss: 0.0052
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9993
77
- Validation Accuracy: 0.9976
78
- Training Loss: 0.0018
79
- Validation Loss: 0.0077
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9989
83
- Validation Accuracy: 0.9986
84
- Training Loss: 0.0024
85
- Validation Loss: 0.0055
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9997
89
- Validation Accuracy: 0.9986
90
- Training Loss: 0.0013
91
- Validation Loss: 0.0050
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9997
95
- Validation Accuracy: 0.9982
96
- Training Loss: 0.0012
97
- Validation Loss: 0.0059
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9995
101
- Validation Accuracy: 0.9990
102
- Training Loss: 0.0015
103
- Validation Loss: 0.0041
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9998
107
- Validation Accuracy: 0.9992
108
- Training Loss: 0.0013
109
- Validation Loss: 0.0037
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 0.9998
113
  Validation Accuracy: 0.9980
114
- Training Loss: 0.0012
115
- Validation Loss: 0.0060
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9996
119
  Validation Accuracy: 0.9986
120
- Training Loss: 0.0010
121
- Validation Loss: 0.0053
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 1.0000
125
- Validation Accuracy: 0.9984
126
- Training Loss: 0.0004
127
- Validation Loss: 0.0061
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9998
131
- Validation Accuracy: 0.9982
132
- Training Loss: 0.0010
133
- Validation Loss: 0.0069
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9996
137
- Validation Accuracy: 0.9990
138
- Training Loss: 0.0010
139
- Validation Loss: 0.0046
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9999
143
- Validation Accuracy: 0.9986
144
- Training Loss: 0.0006
145
- Validation Loss: 0.0051
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9999
149
- Validation Accuracy: 0.9988
150
  Training Loss: 0.0006
151
- Validation Loss: 0.0059
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9998
155
- Validation Accuracy: 0.9984
156
- Training Loss: 0.0007
157
- Validation Loss: 0.0052
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9998
161
- Validation Accuracy: 0.9982
162
- Training Loss: 0.0006
163
- Validation Loss: 0.0065
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9997
167
- Validation Accuracy: 0.9982
168
- Training Loss: 0.0010
169
- Validation Loss: 0.0063
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 0.9999
173
- Validation Accuracy: 0.9984
174
- Training Loss: 0.0004
175
- Validation Loss: 0.0066
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9996
179
- Validation Accuracy: 0.9986
180
- Training Loss: 0.0008
181
- Validation Loss: 0.0046
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9697
5
+ Validation Accuracy: 0.9900
6
+ Training Loss: 0.0878
7
+ Validation Loss: 0.0295
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9960
11
+ Validation Accuracy: 0.9944
12
+ Training Loss: 0.0163
13
+ Validation Loss: 0.0165
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9966
17
+ Validation Accuracy: 0.9956
18
+ Training Loss: 0.0112
19
+ Validation Loss: 0.0121
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9977
23
+ Validation Accuracy: 0.9952
24
+ Training Loss: 0.0084
25
+ Validation Loss: 0.0118
26
  --------------------------------------------------
27
  Epoch 5
28
  Training Accuracy: 0.9982
29
+ Validation Accuracy: 0.9966
30
+ Training Loss: 0.0065
31
+ Validation Loss: 0.0079
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9986
35
+ Validation Accuracy: 0.9958
36
+ Training Loss: 0.0050
37
+ Validation Loss: 0.0102
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9990
41
+ Validation Accuracy: 0.9962
42
+ Training Loss: 0.0042
43
+ Validation Loss: 0.0077
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9989
47
+ Validation Accuracy: 0.9974
48
+ Training Loss: 0.0033
49
+ Validation Loss: 0.0068
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9985
53
+ Validation Accuracy: 0.9968
54
+ Training Loss: 0.0039
55
+ Validation Loss: 0.0077
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9989
59
+ Validation Accuracy: 0.9974
60
+ Training Loss: 0.0033
61
+ Validation Loss: 0.0059
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9991
65
+ Validation Accuracy: 0.9988
66
+ Training Loss: 0.0028
67
+ Validation Loss: 0.0044
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9994
71
+ Validation Accuracy: 0.9984
72
+ Training Loss: 0.0019
73
+ Validation Loss: 0.0043
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9994
77
+ Validation Accuracy: 0.9972
78
+ Training Loss: 0.0021
79
+ Validation Loss: 0.0062
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9996
83
+ Validation Accuracy: 0.9980
84
+ Training Loss: 0.0013
85
+ Validation Loss: 0.0049
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9995
89
+ Validation Accuracy: 0.9988
90
+ Training Loss: 0.0016
91
+ Validation Loss: 0.0041
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9994
95
+ Validation Accuracy: 0.9988
96
+ Training Loss: 0.0018
97
+ Validation Loss: 0.0041
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9993
101
+ Validation Accuracy: 0.9980
102
+ Training Loss: 0.0021
103
+ Validation Loss: 0.0051
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9997
107
+ Validation Accuracy: 0.9986
108
+ Training Loss: 0.0012
109
+ Validation Loss: 0.0042
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 0.9998
113
  Validation Accuracy: 0.9980
114
+ Training Loss: 0.0010
115
+ Validation Loss: 0.0044
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9998
119
  Validation Accuracy: 0.9986
120
+ Training Loss: 0.0009
121
+ Validation Loss: 0.0045
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9998
125
+ Validation Accuracy: 0.9978
126
+ Training Loss: 0.0009
127
+ Validation Loss: 0.0060
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9997
131
+ Validation Accuracy: 0.9988
132
+ Training Loss: 0.0013
133
+ Validation Loss: 0.0041
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9998
137
+ Validation Accuracy: 0.9984
138
+ Training Loss: 0.0006
139
+ Validation Loss: 0.0042
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9998
143
+ Validation Accuracy: 0.9990
144
+ Training Loss: 0.0010
145
+ Validation Loss: 0.0041
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9998
149
+ Validation Accuracy: 0.9978
150
  Training Loss: 0.0006
151
+ Validation Loss: 0.0058
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9997
155
+ Validation Accuracy: 0.9986
156
+ Training Loss: 0.0008
157
+ Validation Loss: 0.0047
158
  --------------------------------------------------
159
  Epoch 27
160
+ Training Accuracy: 0.9999
161
+ Validation Accuracy: 0.9980
162
+ Training Loss: 0.0005
163
+ Validation Loss: 0.0055
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9999
167
+ Validation Accuracy: 0.9968
168
+ Training Loss: 0.0005
169
+ Validation Loss: 0.0086
170
  --------------------------------------------------
171
  Epoch 29
172
+ Training Accuracy: 0.9998
173
+ Validation Accuracy: 0.9986
174
+ Training Loss: 0.0007
175
+ Validation Loss: 0.0039
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9998
179
+ Validation Accuracy: 0.9990
180
+ Training Loss: 0.0007
181
+ Validation Loss: 0.0036
182
  --------------------------------------------------
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2
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3
  Sensitivity: 1.0000
4
- Specificity: 0.9992
5
- F1-Score: 0.9996
6
  AUC: 1.0000
7
- MCC: 0.9992
8
- Cohen's Kappa: 0.9992
9
- Balanced Accuracy: 0.9996
10
- Jaccard Index: 0.9992
11
- Log Loss: 0.0031
12
- F0.5-Score: 0.9994
 
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  Recall: 1.0000
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  Sensitivity: 1.0000
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+ F1-Score: 0.9992
6
  AUC: 1.0000
7
+ MCC: 0.9984
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9
+ Balanced Accuracy: 0.9992
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+ Jaccard Index: 0.9984
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9709
5
- Validation Accuracy: 0.9882
6
- Training Loss: 0.0819
7
- Validation Loss: 0.0313
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9964
11
- Validation Accuracy: 0.9930
12
- Training Loss: 0.0156
13
- Validation Loss: 0.0179
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9973
17
- Validation Accuracy: 0.9938
18
- Training Loss: 0.0097
19
- Validation Loss: 0.0154
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9978
23
- Validation Accuracy: 0.9950
24
- Training Loss: 0.0078
25
- Validation Loss: 0.0120
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9986
29
- Validation Accuracy: 0.9950
30
- Training Loss: 0.0058
31
- Validation Loss: 0.0112
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9981
35
- Validation Accuracy: 0.9954
36
- Training Loss: 0.0057
37
- Validation Loss: 0.0103
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9988
41
- Validation Accuracy: 0.9960
42
- Training Loss: 0.0041
43
- Validation Loss: 0.0097
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9987
47
- Validation Accuracy: 0.9954
48
- Training Loss: 0.0035
49
- Validation Loss: 0.0106
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9994
53
- Validation Accuracy: 0.9954
54
- Training Loss: 0.0027
55
- Validation Loss: 0.0107
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9992
59
- Validation Accuracy: 0.9976
60
- Training Loss: 0.0027
61
- Validation Loss: 0.0064
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9993
65
- Validation Accuracy: 0.9978
66
- Training Loss: 0.0021
67
- Validation Loss: 0.0058
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9993
71
- Validation Accuracy: 0.9984
72
- Training Loss: 0.0024
73
- Validation Loss: 0.0047
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9996
77
- Validation Accuracy: 0.9968
78
- Training Loss: 0.0021
79
- Validation Loss: 0.0072
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9995
83
  Validation Accuracy: 0.9972
84
- Training Loss: 0.0018
85
- Validation Loss: 0.0067
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9994
89
- Validation Accuracy: 0.9970
90
- Training Loss: 0.0015
91
- Validation Loss: 0.0080
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9997
95
  Validation Accuracy: 0.9984
96
- Training Loss: 0.0013
97
- Validation Loss: 0.0055
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9999
101
- Validation Accuracy: 0.9982
102
- Training Loss: 0.0009
103
- Validation Loss: 0.0052
104
- --------------------------------------------------
105
- Epoch 18
106
  Training Accuracy: 0.9997
107
- Validation Accuracy: 0.9986
108
  Training Loss: 0.0011
109
- Validation Loss: 0.0043
110
  --------------------------------------------------
111
- Epoch 19
112
  Training Accuracy: 0.9997
113
  Validation Accuracy: 0.9976
114
- Training Loss: 0.0015
115
- Validation Loss: 0.0074
 
 
 
 
 
 
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 0.9995
119
- Validation Accuracy: 0.9980
120
  Training Loss: 0.0015
121
- Validation Loss: 0.0061
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9998
125
- Validation Accuracy: 0.9982
126
- Training Loss: 0.0009
127
- Validation Loss: 0.0057
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9998
131
- Validation Accuracy: 0.9986
132
- Training Loss: 0.0012
133
- Validation Loss: 0.0040
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9998
137
- Validation Accuracy: 0.9986
138
- Training Loss: 0.0009
139
- Validation Loss: 0.0062
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 0.9997
143
- Validation Accuracy: 0.9982
144
- Training Loss: 0.0009
145
- Validation Loss: 0.0079
146
- --------------------------------------------------
147
- Epoch 25
148
- Training Accuracy: 0.9999
149
  Validation Accuracy: 0.9984
150
- Training Loss: 0.0006
151
- Validation Loss: 0.0053
152
- --------------------------------------------------
153
- Epoch 26
154
- Training Accuracy: 0.9998
155
- Validation Accuracy: 0.9978
156
- Training Loss: 0.0006
157
  Validation Loss: 0.0063
158
  --------------------------------------------------
159
- Epoch 27
160
  Training Accuracy: 0.9997
161
  Validation Accuracy: 0.9988
162
  Training Loss: 0.0010
163
- Validation Loss: 0.0042
 
 
 
 
 
 
 
 
 
 
 
 
164
  --------------------------------------------------
165
  Epoch 28
 
 
 
 
 
 
166
  Training Accuracy: 0.9997
167
  Validation Accuracy: 0.9984
168
- Training Loss: 0.0010
169
- Validation Loss: 0.0047
170
  --------------------------------------------------
171
- Epoch 29
172
  Training Accuracy: 0.9999
173
- Validation Accuracy: 0.9980
174
  Training Loss: 0.0005
175
- Validation Loss: 0.0063
176
- --------------------------------------------------
177
- Epoch 30
178
- Training Accuracy: 0.9998
179
- Validation Accuracy: 0.9980
180
- Training Loss: 0.0004
181
- Validation Loss: 0.0061
182
  --------------------------------------------------
 
1
  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
  --------------------------------------------------