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  1. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/HELMINTHS_BINARY_DenseNet169_Round1.keras +1 -1
  2. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/confusion_matrix.png +0 -0
  3. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_accuracy.png +0 -0
  4. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_loss.png +0 -0
  5. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt +75 -75
  6. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/HELMINTHS_BINARY_DenseNet169_Round2.keras +1 -1
  7. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/classification_metrics.txt +1 -1
  8. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/confusion_matrix.png +0 -0
  9. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt +1 -1
  10. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_accuracy.png +0 -0
  11. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_loss.png +0 -0
  12. DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt +86 -86
  13. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/HELMINTHS_BINARY_NASNetMobile_Round1.keras +1 -1
  14. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/classification_metrics.txt +9 -9
  15. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/confusion_matrix.png +0 -0
  16. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/roc_curve.png +0 -0
  17. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/testing_metrics.txt +2 -2
  18. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_accuracy.png +0 -0
  19. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_loss.png +0 -0
  20. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round1/training_validation_metrics.txt +118 -118
  21. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/HELMINTHS_BINARY_NASNetMobile_Round2.keras +1 -1
  22. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/classification_metrics.txt +12 -12
  23. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/confusion_matrix.png +0 -0
  24. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/roc_curve.png +0 -0
  25. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/testing_metrics.txt +3 -3
  26. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_accuracy.png +0 -0
  27. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_loss.png +0 -0
  28. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt +118 -118
  29. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/HELMINTHS_BINARY_NASNetMobile_Round3.keras +1 -1
  30. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/classification_metrics.txt +11 -11
  31. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/confusion_matrix.png +0 -0
  32. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/roc_curve.png +0 -0
  33. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/testing_metrics.txt +2 -2
  34. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_accuracy.png +0 -0
  35. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_loss.png +0 -0
  36. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt +115 -115
  37. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/HELMINTHS_BINARY_NASNetMobile_Round4.keras +1 -1
  38. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/classification_metrics.txt +12 -12
  39. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/confusion_matrix.png +0 -0
  40. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/roc_curve.png +0 -0
  41. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/testing_metrics.txt +3 -3
  42. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_accuracy.png +0 -0
  43. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_loss.png +0 -0
  44. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round4/training_validation_metrics.txt +115 -115
  45. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/HELMINTHS_BINARY_NASNetMobile_Round5.keras +1 -1
  46. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/classification_metrics.txt +12 -12
  47. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/confusion_matrix.png +0 -0
  48. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/roc_curve.png +0 -0
  49. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/testing_metrics.txt +3 -3
  50. NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round5/training_accuracy.png +0 -0
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round1/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9832
5
- Validation Accuracy: 0.9928
6
- Training Loss: 0.0548
7
- Validation Loss: 0.0193
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9968
11
- Validation Accuracy: 0.9980
12
- Training Loss: 0.0111
13
- Validation Loss: 0.0066
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9984
17
- Validation Accuracy: 0.9997
18
- Training Loss: 0.0061
19
- Validation Loss: 0.0034
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9990
23
- Validation Accuracy: 0.9997
24
- Training Loss: 0.0038
25
- Validation Loss: 0.0020
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9996
29
- Validation Accuracy: 0.9997
30
- Training Loss: 0.0024
31
- Validation Loss: 0.0013
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9995
35
  Validation Accuracy: 1.0000
36
- Training Loss: 0.0022
37
- Validation Loss: 0.0010
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9997
41
  Validation Accuracy: 1.0000
42
- Training Loss: 0.0015
43
- Validation Loss: 0.0008
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9997
47
  Validation Accuracy: 1.0000
48
- Training Loss: 0.0012
49
- Validation Loss: 0.0006
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9997
53
  Validation Accuracy: 1.0000
54
- Training Loss: 0.0009
55
- Validation Loss: 0.0004
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9999
59
  Validation Accuracy: 1.0000
60
- Training Loss: 0.0008
61
- Validation Loss: 0.0004
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
  Validation Accuracy: 1.0000
66
- Training Loss: 0.0005
67
- Validation Loss: 0.0003
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 0.9998
71
  Validation Accuracy: 1.0000
72
- Training Loss: 0.0007
73
- Validation Loss: 0.0003
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
  Validation Accuracy: 1.0000
78
- Training Loss: 0.0004
79
- Validation Loss: 0.0004
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 1.0000
83
  Validation Accuracy: 1.0000
84
- Training Loss: 0.0003
85
- Validation Loss: 0.0002
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9998
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0006
91
- Validation Loss: 0.0002
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 0.9999
95
  Validation Accuracy: 1.0000
96
- Training Loss: 0.0006
97
- Validation Loss: 0.0002
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
  Validation Accuracy: 1.0000
102
- Training Loss: 0.0003
103
- Validation Loss: 0.0001
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0001
109
- Validation Loss: 0.0001
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9999
113
  Validation Accuracy: 1.0000
114
- Training Loss: 0.0002
115
- Validation Loss: 0.0004
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9999
119
  Validation Accuracy: 1.0000
120
- Training Loss: 0.0003
121
- Validation Loss: 0.0002
122
  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
125
  Validation Accuracy: 1.0000
126
- Training Loss: 0.0003
127
- Validation Loss: 0.0001
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
131
  Validation Accuracy: 1.0000
132
- Training Loss: 0.0003
133
- Validation Loss: 0.0001
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
  Validation Accuracy: 1.0000
138
- Training Loss: 0.0001
139
- Validation Loss: 0.0001
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
  Validation Accuracy: 1.0000
144
- Training Loss: 0.0001
145
- Validation Loss: 0.0001
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
  Validation Accuracy: 1.0000
150
- Training Loss: 0.0001
151
- Validation Loss: 0.0001
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
  Validation Accuracy: 1.0000
156
- Training Loss: 0.0001
157
- Validation Loss: 0.0001
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
  Training Loss: 0.0000
163
- Validation Loss: 0.0001
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
  Validation Accuracy: 1.0000
168
  Training Loss: 0.0000
169
- Validation Loss: 0.0001
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9870
5
+ Validation Accuracy: 0.9992
6
+ Training Loss: 0.0410
7
+ Validation Loss: 0.0051
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9994
11
+ Validation Accuracy: 1.0000
12
+ Training Loss: 0.0046
13
+ Validation Loss: 0.0014
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9998
17
+ Validation Accuracy: 1.0000
18
+ Training Loss: 0.0019
19
+ Validation Loss: 0.0007
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9999
23
+ Validation Accuracy: 1.0000
24
+ Training Loss: 0.0011
25
+ Validation Loss: 0.0004
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 1.0000
29
+ Validation Accuracy: 1.0000
30
+ Training Loss: 0.0008
31
+ Validation Loss: 0.0003
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9998
35
  Validation Accuracy: 1.0000
36
+ Training Loss: 0.0008
37
+ Validation Loss: 0.0002
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 1.0000
41
  Validation Accuracy: 1.0000
42
+ Training Loss: 0.0003
43
+ Validation Loss: 0.0001
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9999
47
  Validation Accuracy: 1.0000
48
+ Training Loss: 0.0004
49
+ Validation Loss: 0.0001
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 1.0000
53
  Validation Accuracy: 1.0000
54
+ Training Loss: 0.0002
55
+ Validation Loss: 0.0001
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 1.0000
59
  Validation Accuracy: 1.0000
60
+ Training Loss: 0.0001
61
+ Validation Loss: 0.0002
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 1.0000
65
  Validation Accuracy: 1.0000
66
+ Training Loss: 0.0001
67
+ Validation Loss: 0.0000
68
  --------------------------------------------------
69
  Epoch 12
70
  Training Accuracy: 0.9998
71
  Validation Accuracy: 1.0000
72
+ Training Loss: 0.0005
73
+ Validation Loss: 0.0001
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 1.0000
77
  Validation Accuracy: 1.0000
78
+ Training Loss: 0.0002
79
+ Validation Loss: 0.0000
80
  --------------------------------------------------
81
  Epoch 14
82
  Training Accuracy: 1.0000
83
  Validation Accuracy: 1.0000
84
+ Training Loss: 0.0000
85
+ Validation Loss: 0.0000
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9999
89
  Validation Accuracy: 1.0000
90
+ Training Loss: 0.0002
91
+ Validation Loss: 0.0000
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 0.9999
95
  Validation Accuracy: 1.0000
96
+ Training Loss: 0.0003
97
+ Validation Loss: 0.0000
98
  --------------------------------------------------
99
  Epoch 17
100
  Training Accuracy: 1.0000
101
  Validation Accuracy: 1.0000
102
+ Training Loss: 0.0001
103
+ Validation Loss: 0.0000
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
  Validation Accuracy: 1.0000
108
+ Training Loss: 0.0000
109
+ Validation Loss: 0.0000
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 1.0000
113
  Validation Accuracy: 1.0000
114
+ Training Loss: 0.0000
115
+ Validation Loss: 0.0000
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 1.0000
119
  Validation Accuracy: 1.0000
120
+ Training Loss: 0.0000
121
+ Validation Loss: 0.0000
122
  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
125
  Validation Accuracy: 1.0000
126
+ Training Loss: 0.0000
127
+ Validation Loss: 0.0000
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 1.0000
131
  Validation Accuracy: 1.0000
132
+ Training Loss: 0.0000
133
+ Validation Loss: 0.0000
134
  --------------------------------------------------
135
  Epoch 23
136
  Training Accuracy: 1.0000
137
  Validation Accuracy: 1.0000
138
+ Training Loss: 0.0000
139
+ Validation Loss: 0.0000
140
  --------------------------------------------------
141
  Epoch 24
142
  Training Accuracy: 1.0000
143
  Validation Accuracy: 1.0000
144
+ Training Loss: 0.0000
145
+ Validation Loss: 0.0000
146
  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 1.0000
149
  Validation Accuracy: 1.0000
150
+ Training Loss: 0.0000
151
+ Validation Loss: 0.0000
152
  --------------------------------------------------
153
  Epoch 26
154
  Training Accuracy: 1.0000
155
  Validation Accuracy: 1.0000
156
+ Training Loss: 0.0000
157
+ Validation Loss: 0.0000
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 1.0000
161
  Validation Accuracy: 1.0000
162
  Training Loss: 0.0000
163
+ Validation Loss: 0.0000
164
  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 1.0000
167
  Validation Accuracy: 1.0000
168
  Training Loss: 0.0000
169
+ Validation Loss: 0.0000
170
  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
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  Balanced Accuracy: 1.0000
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  Jaccard Index: 1.0000
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- Log Loss: 0.0002
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  F0.5-Score: 1.0000
 
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  Cohen's Kappa: 1.0000
9
  Balanced Accuracy: 1.0000
10
  Jaccard Index: 1.0000
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+ Log Loss: 0.0000
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  F0.5-Score: 1.0000
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/testing_metrics.txt CHANGED
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DenseNet169/HELMINTHS_BINARY_DenseNet169_Round2/training_validation_metrics.txt CHANGED
@@ -1,182 +1,182 @@
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9756
5
- Validation Accuracy: 0.9921
6
- Training Loss: 0.0681
7
- Validation Loss: 0.0263
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9965
11
- Validation Accuracy: 0.9967
12
- Training Loss: 0.0140
13
- Validation Loss: 0.0102
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9982
17
- Validation Accuracy: 0.9993
18
- Training Loss: 0.0080
19
- Validation Loss: 0.0050
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9989
23
- Validation Accuracy: 0.9993
24
- Training Loss: 0.0055
25
- Validation Loss: 0.0033
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9993
29
- Validation Accuracy: 0.9997
30
- Training Loss: 0.0029
31
- Validation Loss: 0.0020
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9993
35
- Validation Accuracy: 0.9993
36
- Training Loss: 0.0025
37
- Validation Loss: 0.0015
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9998
41
  Validation Accuracy: 1.0000
42
- Training Loss: 0.0015
43
- Validation Loss: 0.0014
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9999
47
  Validation Accuracy: 1.0000
48
- Training Loss: 0.0011
49
- Validation Loss: 0.0009
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9997
53
- Validation Accuracy: 0.9997
54
- Training Loss: 0.0011
55
- Validation Loss: 0.0009
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9997
59
  Validation Accuracy: 1.0000
60
- Training Loss: 0.0009
61
- Validation Loss: 0.0009
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9999
65
  Validation Accuracy: 1.0000
66
- Training Loss: 0.0006
67
- Validation Loss: 0.0008
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9999
71
  Validation Accuracy: 1.0000
72
- Training Loss: 0.0006
73
- Validation Loss: 0.0005
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9999
77
  Validation Accuracy: 1.0000
78
- Training Loss: 0.0004
79
- Validation Loss: 0.0005
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9998
83
  Validation Accuracy: 1.0000
84
- Training Loss: 0.0007
85
- Validation Loss: 0.0008
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9998
89
  Validation Accuracy: 1.0000
90
- Training Loss: 0.0007
91
- Validation Loss: 0.0008
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9999
95
  Validation Accuracy: 1.0000
96
- Training Loss: 0.0004
97
- Validation Loss: 0.0006
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 1.0000
101
  Validation Accuracy: 1.0000
102
- Training Loss: 0.0003
103
- Validation Loss: 0.0002
104
  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
107
  Validation Accuracy: 1.0000
108
- Training Loss: 0.0002
109
- Validation Loss: 0.0004
110
  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
113
  Validation Accuracy: 1.0000
114
- Training Loss: 0.0003
115
- Validation Loss: 0.0006
116
  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
119
- Validation Accuracy: 0.9997
120
- Training Loss: 0.0002
121
- Validation Loss: 0.0007
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  --------------------------------------------------
123
  Epoch 21
124
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0004
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  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0002
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  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0002
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  --------------------------------------------------
141
  Epoch 24
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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- Validation Loss: 0.0001
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  --------------------------------------------------
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  Epoch 25
148
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0002
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  --------------------------------------------------
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  Epoch 26
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- Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0003
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- Validation Loss: 0.0001
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  --------------------------------------------------
159
  Epoch 27
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0004
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  --------------------------------------------------
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  Epoch 28
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0001
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  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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- Validation Loss: 0.0002
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  --------------------------------------------------
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  Epoch 30
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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- Training Loss: 0.0001
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- Validation Loss: 0.0004
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  --------------------------------------------------
 
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
+ Validation Accuracy: 0.9995
6
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7
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  --------------------------------------------------
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  Epoch 2
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  --------------------------------------------------
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  Epoch 3
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0018
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+ Validation Loss: 0.0006
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  --------------------------------------------------
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  Epoch 4
22
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23
+ Validation Accuracy: 1.0000
24
+ Training Loss: 0.0013
25
+ Validation Loss: 0.0003
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  --------------------------------------------------
27
  Epoch 5
28
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0006
31
+ Validation Loss: 0.0001
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  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9999
35
+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0007
37
+ Validation Loss: 0.0002
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  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9999
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0005
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+ Validation Loss: 0.0002
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  --------------------------------------------------
45
  Epoch 8
46
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0003
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  --------------------------------------------------
51
  Epoch 9
52
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0001
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  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 1.0000
59
  Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0000
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  --------------------------------------------------
63
  Epoch 11
64
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0000
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  --------------------------------------------------
69
  Epoch 12
70
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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  --------------------------------------------------
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  Epoch 13
76
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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+ Validation Loss: 0.0000
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  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9999
83
  Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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+ Validation Loss: 0.0000
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  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
91
+ Validation Loss: 0.0000
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  --------------------------------------------------
93
  Epoch 16
94
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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  --------------------------------------------------
99
  Epoch 17
100
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0002
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  --------------------------------------------------
105
  Epoch 18
106
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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+ Validation Loss: 0.0000
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  --------------------------------------------------
111
  Epoch 19
112
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
117
  Epoch 20
118
  Training Accuracy: 1.0000
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+ Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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  --------------------------------------------------
123
  Epoch 21
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 22
130
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0001
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  --------------------------------------------------
135
  Epoch 23
136
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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  --------------------------------------------------
141
  Epoch 24
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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  --------------------------------------------------
147
  Epoch 25
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
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  Epoch 26
154
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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  --------------------------------------------------
159
  Epoch 27
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
165
  Epoch 28
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  --------------------------------------------------
171
  Epoch 29
172
  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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  Training Loss: 0.0001
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  --------------------------------------------------
177
  Epoch 30
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  Training Accuracy: 1.0000
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  Validation Accuracy: 1.0000
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+ Training Loss: 0.0000
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+ Validation Loss: 0.0000
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  --------------------------------------------------
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- F1-Score: 0.9902
6
  AUC: 1.0000
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- Cohen's Kappa: 0.9887
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- Balanced Accuracy: 0.9903
10
- Jaccard Index: 0.9806
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- Log Loss: 0.0069
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- F0.5-Score: 0.9961
 
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  Precision: 1.0000
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  AUC: 1.0000
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+ Balanced Accuracy: 0.9998
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+ Jaccard Index: 0.9996
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9788
5
- Validation Accuracy: 0.9908
6
- Training Loss: 0.0738
7
- Validation Loss: 0.0386
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9931
11
- Validation Accuracy: 0.9921
12
- Training Loss: 0.0235
13
- Validation Loss: 0.0263
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9950
17
- Validation Accuracy: 0.9938
18
- Training Loss: 0.0169
19
- Validation Loss: 0.0200
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9967
23
- Validation Accuracy: 0.9944
24
- Training Loss: 0.0120
25
- Validation Loss: 0.0167
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9978
29
- Validation Accuracy: 0.9951
30
- Training Loss: 0.0091
31
- Validation Loss: 0.0140
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9975
35
- Validation Accuracy: 0.9954
36
- Training Loss: 0.0085
37
- Validation Loss: 0.0126
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9977
41
- Validation Accuracy: 0.9954
42
- Training Loss: 0.0081
43
- Validation Loss: 0.0114
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9986
47
- Validation Accuracy: 0.9964
48
- Training Loss: 0.0060
49
- Validation Loss: 0.0109
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9985
53
- Validation Accuracy: 0.9964
54
- Training Loss: 0.0055
55
- Validation Loss: 0.0101
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9983
59
- Validation Accuracy: 0.9964
60
- Training Loss: 0.0055
61
- Validation Loss: 0.0093
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9984
65
- Validation Accuracy: 0.9964
66
- Training Loss: 0.0053
67
- Validation Loss: 0.0086
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9987
71
- Validation Accuracy: 0.9970
72
- Training Loss: 0.0051
73
- Validation Loss: 0.0081
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9984
77
- Validation Accuracy: 0.9967
78
- Training Loss: 0.0044
79
- Validation Loss: 0.0078
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9988
83
- Validation Accuracy: 0.9964
84
- Training Loss: 0.0037
85
- Validation Loss: 0.0074
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9993
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- Validation Accuracy: 0.9967
90
- Training Loss: 0.0035
91
- Validation Loss: 0.0070
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9987
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- Validation Accuracy: 0.9967
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- Training Loss: 0.0049
97
- Validation Loss: 0.0077
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9992
101
- Validation Accuracy: 0.9967
102
- Training Loss: 0.0031
103
- Validation Loss: 0.0069
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9989
107
- Validation Accuracy: 0.9970
108
- Training Loss: 0.0037
109
- Validation Loss: 0.0077
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9995
113
- Validation Accuracy: 0.9974
114
- Training Loss: 0.0020
115
- Validation Loss: 0.0068
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9993
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- Validation Accuracy: 0.9977
120
- Training Loss: 0.0029
121
- Validation Loss: 0.0056
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9993
125
- Validation Accuracy: 0.9974
126
- Training Loss: 0.0025
127
- Validation Loss: 0.0056
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  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9993
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- Validation Accuracy: 0.9980
132
- Training Loss: 0.0025
133
- Validation Loss: 0.0050
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9990
137
- Validation Accuracy: 0.9980
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- Training Loss: 0.0033
139
- Validation Loss: 0.0056
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  --------------------------------------------------
141
  Epoch 24
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- Training Accuracy: 0.9995
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- Validation Accuracy: 0.9984
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- Training Loss: 0.0020
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- Validation Loss: 0.0050
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  --------------------------------------------------
147
  Epoch 25
148
  Training Accuracy: 0.9996
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- Validation Accuracy: 0.9980
150
- Training Loss: 0.0020
151
- Validation Loss: 0.0045
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9995
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- Validation Accuracy: 0.9984
156
- Training Loss: 0.0017
157
- Validation Loss: 0.0047
158
  --------------------------------------------------
159
  Epoch 27
160
- Training Accuracy: 0.9994
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- Validation Accuracy: 0.9980
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- Training Loss: 0.0020
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- Validation Loss: 0.0051
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  --------------------------------------------------
165
  Epoch 28
166
  Training Accuracy: 0.9995
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- Validation Accuracy: 0.9977
168
- Training Loss: 0.0022
169
- Validation Loss: 0.0062
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 0.9994
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- Validation Accuracy: 0.9980
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- Training Loss: 0.0019
175
- Validation Loss: 0.0052
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  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9991
179
- Validation Accuracy: 0.9984
180
- Training Loss: 0.0026
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- Validation Loss: 0.0047
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  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
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5
+ Validation Accuracy: 0.9956
6
+ Training Loss: 0.0671
7
+ Validation Loss: 0.0196
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  --------------------------------------------------
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  Epoch 2
10
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+ Validation Accuracy: 0.9961
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+ Training Loss: 0.0166
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+ Validation Loss: 0.0139
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  --------------------------------------------------
15
  Epoch 3
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+ Validation Accuracy: 0.9973
18
+ Training Loss: 0.0108
19
+ Validation Loss: 0.0094
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9979
23
+ Validation Accuracy: 0.9981
24
+ Training Loss: 0.0078
25
+ Validation Loss: 0.0063
26
  --------------------------------------------------
27
  Epoch 5
28
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29
+ Validation Accuracy: 0.9984
30
+ Training Loss: 0.0057
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+ Validation Loss: 0.0051
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  --------------------------------------------------
33
  Epoch 6
34
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35
+ Validation Accuracy: 0.9975
36
+ Training Loss: 0.0050
37
+ Validation Loss: 0.0069
38
  --------------------------------------------------
39
  Epoch 7
40
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41
+ Validation Accuracy: 0.9984
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+ Training Loss: 0.0043
43
+ Validation Loss: 0.0048
44
  --------------------------------------------------
45
  Epoch 8
46
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+ Validation Accuracy: 0.9976
48
+ Training Loss: 0.0036
49
+ Validation Loss: 0.0073
50
  --------------------------------------------------
51
  Epoch 9
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53
+ Validation Accuracy: 0.9989
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+ Training Loss: 0.0035
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+ Validation Loss: 0.0034
56
  --------------------------------------------------
57
  Epoch 10
58
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59
+ Validation Accuracy: 0.9985
60
+ Training Loss: 0.0032
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+ Validation Loss: 0.0044
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  --------------------------------------------------
63
  Epoch 11
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65
+ Validation Accuracy: 0.9989
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+ Training Loss: 0.0023
67
+ Validation Loss: 0.0036
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  --------------------------------------------------
69
  Epoch 12
70
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0025
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+ Validation Loss: 0.0029
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  --------------------------------------------------
75
  Epoch 13
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+ Validation Accuracy: 0.9986
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+ Training Loss: 0.0029
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+ Validation Loss: 0.0042
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  --------------------------------------------------
81
  Epoch 14
82
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+ Validation Accuracy: 0.9990
84
+ Training Loss: 0.0018
85
+ Validation Loss: 0.0033
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  --------------------------------------------------
87
  Epoch 15
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+ Validation Accuracy: 0.9980
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+ Training Loss: 0.0013
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+ Validation Loss: 0.0054
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  --------------------------------------------------
93
  Epoch 16
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+ Validation Accuracy: 0.9985
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+ Training Loss: 0.0015
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+ Validation Loss: 0.0040
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  --------------------------------------------------
99
  Epoch 17
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+ Validation Accuracy: 0.9991
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+ Training Loss: 0.0015
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+ Validation Loss: 0.0022
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  --------------------------------------------------
105
  Epoch 18
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+ Validation Accuracy: 0.9991
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+ Training Loss: 0.0014
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+ Validation Loss: 0.0030
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  --------------------------------------------------
111
  Epoch 19
112
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+ Validation Accuracy: 0.9986
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+ Training Loss: 0.0024
115
+ Validation Loss: 0.0037
116
  --------------------------------------------------
117
  Epoch 20
118
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+ Validation Accuracy: 0.9991
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+ Training Loss: 0.0014
121
+ Validation Loss: 0.0019
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  --------------------------------------------------
123
  Epoch 21
124
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+ Validation Accuracy: 0.9989
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+ Training Loss: 0.0010
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+ Validation Loss: 0.0029
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  --------------------------------------------------
129
  Epoch 22
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+ Validation Accuracy: 0.9986
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+ Training Loss: 0.0013
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+ Validation Loss: 0.0030
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  --------------------------------------------------
135
  Epoch 23
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0017
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+ Validation Loss: 0.0024
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  --------------------------------------------------
141
  Epoch 24
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+ Validation Accuracy: 0.9985
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0047
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  --------------------------------------------------
147
  Epoch 25
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  Training Accuracy: 0.9996
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+ Validation Accuracy: 0.9986
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+ Training Loss: 0.0011
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+ Validation Loss: 0.0042
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  --------------------------------------------------
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  Epoch 26
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+ Validation Accuracy: 0.9987
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+ Training Loss: 0.0012
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+ Validation Loss: 0.0034
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  --------------------------------------------------
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  Epoch 27
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+ Validation Accuracy: 0.9996
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+ Training Loss: 0.0016
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+ Validation Loss: 0.0014
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  --------------------------------------------------
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  Epoch 28
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0018
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+ Validation Loss: 0.0025
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  --------------------------------------------------
171
  Epoch 29
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+ Training Accuracy: 0.9997
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+ Validation Accuracy: 0.9990
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0022
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  --------------------------------------------------
177
  Epoch 30
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179
+ Validation Accuracy: 0.9992
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+ Training Loss: 0.0012
181
+ Validation Loss: 0.0020
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  --------------------------------------------------
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- AUC: 0.9999
7
- MCC: 0.9916
8
- Cohen's Kappa: 0.9916
9
- Balanced Accuracy: 0.9948
10
- Jaccard Index: 0.9855
11
- Log Loss: 0.0063
12
- F0.5-Score: 0.9942
 
1
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+ Recall: 0.9996
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+ Sensitivity: 0.9996
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5
+ F1-Score: 0.9998
6
+ AUC: 1.0000
7
+ MCC: 0.9994
8
+ Cohen's Kappa: 0.9994
9
+ Balanced Accuracy: 0.9998
10
+ Jaccard Index: 0.9996
11
+ Log Loss: 0.0008
12
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NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round2/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9737
5
- Validation Accuracy: 0.9898
6
- Training Loss: 0.0872
7
- Validation Loss: 0.0451
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9928
11
- Validation Accuracy: 0.9908
12
- Training Loss: 0.0273
13
- Validation Loss: 0.0304
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9950
17
- Validation Accuracy: 0.9928
18
- Training Loss: 0.0179
19
- Validation Loss: 0.0228
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9959
23
- Validation Accuracy: 0.9938
24
- Training Loss: 0.0140
25
- Validation Loss: 0.0187
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9971
29
- Validation Accuracy: 0.9941
30
- Training Loss: 0.0108
31
- Validation Loss: 0.0163
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9976
35
- Validation Accuracy: 0.9951
36
- Training Loss: 0.0096
37
- Validation Loss: 0.0148
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9978
41
- Validation Accuracy: 0.9954
42
- Training Loss: 0.0069
43
- Validation Loss: 0.0128
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9981
47
- Validation Accuracy: 0.9951
48
- Training Loss: 0.0076
49
- Validation Loss: 0.0119
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9985
53
- Validation Accuracy: 0.9954
54
- Training Loss: 0.0063
55
- Validation Loss: 0.0111
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9978
59
- Validation Accuracy: 0.9954
60
- Training Loss: 0.0068
61
- Validation Loss: 0.0102
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9983
65
- Validation Accuracy: 0.9954
66
- Training Loss: 0.0056
67
- Validation Loss: 0.0098
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9992
71
- Validation Accuracy: 0.9961
72
- Training Loss: 0.0035
73
- Validation Loss: 0.0098
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9986
77
- Validation Accuracy: 0.9957
78
- Training Loss: 0.0043
79
- Validation Loss: 0.0094
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9993
83
- Validation Accuracy: 0.9957
84
- Training Loss: 0.0038
85
- Validation Loss: 0.0107
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9993
89
- Validation Accuracy: 0.9964
90
- Training Loss: 0.0033
91
- Validation Loss: 0.0086
92
  --------------------------------------------------
93
  Epoch 16
94
- Training Accuracy: 0.9982
95
- Validation Accuracy: 0.9964
96
- Training Loss: 0.0043
97
- Validation Loss: 0.0083
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9987
101
- Validation Accuracy: 0.9964
102
- Training Loss: 0.0039
103
- Validation Loss: 0.0080
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9996
107
- Validation Accuracy: 0.9967
108
- Training Loss: 0.0022
109
- Validation Loss: 0.0081
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9993
113
- Validation Accuracy: 0.9961
114
- Training Loss: 0.0030
115
- Validation Loss: 0.0077
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9992
119
- Validation Accuracy: 0.9961
120
- Training Loss: 0.0030
121
- Validation Loss: 0.0081
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9992
125
- Validation Accuracy: 0.9967
126
- Training Loss: 0.0020
127
- Validation Loss: 0.0062
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9993
131
- Validation Accuracy: 0.9964
132
- Training Loss: 0.0027
133
- Validation Loss: 0.0067
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9993
137
- Validation Accuracy: 0.9977
138
- Training Loss: 0.0029
139
- Validation Loss: 0.0060
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9989
143
- Validation Accuracy: 0.9984
144
- Training Loss: 0.0035
145
  Validation Loss: 0.0047
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9987
149
- Validation Accuracy: 0.9974
150
- Training Loss: 0.0037
151
- Validation Loss: 0.0061
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9992
155
- Validation Accuracy: 0.9980
156
- Training Loss: 0.0023
157
- Validation Loss: 0.0053
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 0.9995
161
- Validation Accuracy: 0.9980
162
- Training Loss: 0.0016
163
- Validation Loss: 0.0057
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9994
167
- Validation Accuracy: 0.9977
168
- Training Loss: 0.0020
169
- Validation Loss: 0.0045
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 0.9994
173
- Validation Accuracy: 0.9977
174
- Training Loss: 0.0023
175
- Validation Loss: 0.0052
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9997
179
- Validation Accuracy: 0.9977
180
- Training Loss: 0.0014
181
- Validation Loss: 0.0043
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9798
5
+ Validation Accuracy: 0.9957
6
+ Training Loss: 0.0627
7
+ Validation Loss: 0.0171
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9953
11
+ Validation Accuracy: 0.9966
12
+ Training Loss: 0.0155
13
+ Validation Loss: 0.0118
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9970
17
+ Validation Accuracy: 0.9982
18
+ Training Loss: 0.0103
19
+ Validation Loss: 0.0063
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9983
23
+ Validation Accuracy: 0.9979
24
+ Training Loss: 0.0062
25
+ Validation Loss: 0.0058
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9986
29
+ Validation Accuracy: 0.9972
30
+ Training Loss: 0.0056
31
+ Validation Loss: 0.0085
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9988
35
+ Validation Accuracy: 0.9981
36
+ Training Loss: 0.0044
37
+ Validation Loss: 0.0053
38
  --------------------------------------------------
39
  Epoch 7
40
+ Training Accuracy: 0.9990
41
+ Validation Accuracy: 0.9984
42
+ Training Loss: 0.0036
43
+ Validation Loss: 0.0045
44
  --------------------------------------------------
45
  Epoch 8
46
+ Training Accuracy: 0.9992
47
+ Validation Accuracy: 0.9984
48
+ Training Loss: 0.0031
49
+ Validation Loss: 0.0051
50
  --------------------------------------------------
51
  Epoch 9
52
+ Training Accuracy: 0.9991
53
+ Validation Accuracy: 0.9989
54
+ Training Loss: 0.0034
55
+ Validation Loss: 0.0033
56
  --------------------------------------------------
57
  Epoch 10
58
+ Training Accuracy: 0.9990
59
+ Validation Accuracy: 0.9985
60
+ Training Loss: 0.0025
61
+ Validation Loss: 0.0047
62
  --------------------------------------------------
63
  Epoch 11
64
+ Training Accuracy: 0.9990
65
+ Validation Accuracy: 0.9989
66
+ Training Loss: 0.0031
67
+ Validation Loss: 0.0033
68
  --------------------------------------------------
69
  Epoch 12
70
+ Training Accuracy: 0.9995
71
+ Validation Accuracy: 0.9989
72
+ Training Loss: 0.0021
73
+ Validation Loss: 0.0034
74
  --------------------------------------------------
75
  Epoch 13
76
+ Training Accuracy: 0.9994
77
+ Validation Accuracy: 0.9989
78
+ Training Loss: 0.0020
79
+ Validation Loss: 0.0031
80
  --------------------------------------------------
81
  Epoch 14
82
+ Training Accuracy: 0.9989
83
+ Validation Accuracy: 0.9992
84
+ Training Loss: 0.0025
85
+ Validation Loss: 0.0024
86
  --------------------------------------------------
87
  Epoch 15
88
+ Training Accuracy: 0.9994
89
+ Validation Accuracy: 0.9987
90
+ Training Loss: 0.0018
91
+ Validation Loss: 0.0044
92
  --------------------------------------------------
93
  Epoch 16
94
+ Training Accuracy: 0.9995
95
+ Validation Accuracy: 0.9991
96
+ Training Loss: 0.0019
97
+ Validation Loss: 0.0024
98
  --------------------------------------------------
99
  Epoch 17
100
+ Training Accuracy: 0.9994
101
+ Validation Accuracy: 0.9991
102
+ Training Loss: 0.0019
103
+ Validation Loss: 0.0028
104
  --------------------------------------------------
105
  Epoch 18
106
+ Training Accuracy: 0.9994
107
+ Validation Accuracy: 0.9992
108
+ Training Loss: 0.0019
109
+ Validation Loss: 0.0026
110
  --------------------------------------------------
111
  Epoch 19
112
+ Training Accuracy: 0.9997
113
+ Validation Accuracy: 0.9992
114
+ Training Loss: 0.0013
115
+ Validation Loss: 0.0028
116
  --------------------------------------------------
117
  Epoch 20
118
+ Training Accuracy: 0.9994
119
+ Validation Accuracy: 0.9986
120
+ Training Loss: 0.0018
121
+ Validation Loss: 0.0040
122
  --------------------------------------------------
123
  Epoch 21
124
+ Training Accuracy: 0.9995
125
+ Validation Accuracy: 0.9990
126
+ Training Loss: 0.0017
127
+ Validation Loss: 0.0028
128
  --------------------------------------------------
129
  Epoch 22
130
+ Training Accuracy: 0.9997
131
+ Validation Accuracy: 0.9995
132
+ Training Loss: 0.0010
133
+ Validation Loss: 0.0021
134
  --------------------------------------------------
135
  Epoch 23
136
+ Training Accuracy: 0.9995
137
+ Validation Accuracy: 0.9987
138
+ Training Loss: 0.0015
139
+ Validation Loss: 0.0031
140
  --------------------------------------------------
141
  Epoch 24
142
+ Training Accuracy: 0.9994
143
+ Validation Accuracy: 0.9981
144
+ Training Loss: 0.0016
145
  Validation Loss: 0.0047
146
  --------------------------------------------------
147
  Epoch 25
148
+ Training Accuracy: 0.9996
149
+ Validation Accuracy: 0.9992
150
+ Training Loss: 0.0013
151
+ Validation Loss: 0.0021
152
  --------------------------------------------------
153
  Epoch 26
154
+ Training Accuracy: 0.9998
155
+ Validation Accuracy: 0.9994
156
+ Training Loss: 0.0008
157
+ Validation Loss: 0.0021
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 0.9995
161
+ Validation Accuracy: 0.9994
162
+ Training Loss: 0.0013
163
+ Validation Loss: 0.0022
164
  --------------------------------------------------
165
  Epoch 28
166
+ Training Accuracy: 0.9996
167
+ Validation Accuracy: 0.9989
168
+ Training Loss: 0.0013
169
+ Validation Loss: 0.0034
170
  --------------------------------------------------
171
  Epoch 29
172
+ Training Accuracy: 0.9995
173
+ Validation Accuracy: 0.9996
174
+ Training Loss: 0.0014
175
+ Validation Loss: 0.0015
176
  --------------------------------------------------
177
  Epoch 30
178
+ Training Accuracy: 0.9994
179
+ Validation Accuracy: 0.9992
180
+ Training Loss: 0.0017
181
+ Validation Loss: 0.0017
182
  --------------------------------------------------
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- Precision: 0.9951
2
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3
- Sensitivity: 0.9951
4
- Specificity: 0.9992
5
- F1-Score: 0.9951
6
  AUC: 1.0000
7
- MCC: 0.9944
8
- Cohen's Kappa: 0.9944
9
- Balanced Accuracy: 0.9972
10
- Jaccard Index: 0.9903
11
- Log Loss: 0.0065
12
- F0.5-Score: 0.9951
 
1
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+ Recall: 0.9996
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+ Sensitivity: 0.9996
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+ Specificity: 1.0000
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+ F1-Score: 0.9998
6
  AUC: 1.0000
7
+ MCC: 0.9994
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+ Cohen's Kappa: 0.9994
9
+ Balanced Accuracy: 0.9998
10
+ Jaccard Index: 0.9996
11
+ Log Loss: 0.0015
12
+ F0.5-Score: 0.9999
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3
- loss: 0.0065
 
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NASNetMobile/HELMINTHS_BINARY_NASNetMobile_Round3/training_validation_metrics.txt CHANGED
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1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9777
5
- Validation Accuracy: 0.9892
6
- Training Loss: 0.0765
7
- Validation Loss: 0.0452
8
  --------------------------------------------------
9
  Epoch 2
10
- Training Accuracy: 0.9932
11
- Validation Accuracy: 0.9921
12
- Training Loss: 0.0245
13
- Validation Loss: 0.0281
14
  --------------------------------------------------
15
  Epoch 3
16
- Training Accuracy: 0.9955
17
- Validation Accuracy: 0.9921
18
- Training Loss: 0.0158
19
- Validation Loss: 0.0233
20
  --------------------------------------------------
21
  Epoch 4
22
- Training Accuracy: 0.9965
23
- Validation Accuracy: 0.9934
24
- Training Loss: 0.0122
25
- Validation Loss: 0.0195
26
  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9963
29
- Validation Accuracy: 0.9941
30
- Training Loss: 0.0107
31
- Validation Loss: 0.0157
32
  --------------------------------------------------
33
  Epoch 6
34
- Training Accuracy: 0.9978
35
- Validation Accuracy: 0.9948
36
- Training Loss: 0.0090
37
- Validation Loss: 0.0141
38
  --------------------------------------------------
39
  Epoch 7
40
- Training Accuracy: 0.9981
41
- Validation Accuracy: 0.9957
42
- Training Loss: 0.0078
43
- Validation Loss: 0.0126
44
  --------------------------------------------------
45
  Epoch 8
46
- Training Accuracy: 0.9979
47
- Validation Accuracy: 0.9961
48
- Training Loss: 0.0068
49
- Validation Loss: 0.0119
50
  --------------------------------------------------
51
  Epoch 9
52
- Training Accuracy: 0.9979
53
- Validation Accuracy: 0.9957
54
- Training Loss: 0.0066
55
- Validation Loss: 0.0114
56
  --------------------------------------------------
57
  Epoch 10
58
- Training Accuracy: 0.9982
59
- Validation Accuracy: 0.9957
60
- Training Loss: 0.0054
61
- Validation Loss: 0.0107
62
  --------------------------------------------------
63
  Epoch 11
64
- Training Accuracy: 0.9985
65
- Validation Accuracy: 0.9964
66
- Training Loss: 0.0048
67
- Validation Loss: 0.0097
68
  --------------------------------------------------
69
  Epoch 12
70
- Training Accuracy: 0.9981
71
- Validation Accuracy: 0.9967
72
- Training Loss: 0.0067
73
- Validation Loss: 0.0082
74
  --------------------------------------------------
75
  Epoch 13
76
- Training Accuracy: 0.9987
77
- Validation Accuracy: 0.9967
78
- Training Loss: 0.0043
79
- Validation Loss: 0.0083
80
  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9987
83
- Validation Accuracy: 0.9970
84
- Training Loss: 0.0042
85
- Validation Loss: 0.0082
86
  --------------------------------------------------
87
  Epoch 15
88
- Training Accuracy: 0.9987
89
- Validation Accuracy: 0.9980
90
- Training Loss: 0.0051
91
- Validation Loss: 0.0067
92
  --------------------------------------------------
93
  Epoch 16
94
  Training Accuracy: 0.9993
95
- Validation Accuracy: 0.9977
96
- Training Loss: 0.0033
97
- Validation Loss: 0.0079
98
  --------------------------------------------------
99
  Epoch 17
100
- Training Accuracy: 0.9994
101
- Validation Accuracy: 0.9970
102
- Training Loss: 0.0022
103
- Validation Loss: 0.0086
104
  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9989
107
- Validation Accuracy: 0.9974
108
- Training Loss: 0.0031
109
- Validation Loss: 0.0063
110
  --------------------------------------------------
111
  Epoch 19
112
- Training Accuracy: 0.9993
113
- Validation Accuracy: 0.9977
114
- Training Loss: 0.0027
115
- Validation Loss: 0.0061
116
  --------------------------------------------------
117
  Epoch 20
118
- Training Accuracy: 0.9993
119
- Validation Accuracy: 0.9980
120
- Training Loss: 0.0026
121
- Validation Loss: 0.0070
122
  --------------------------------------------------
123
  Epoch 21
124
- Training Accuracy: 0.9991
125
- Validation Accuracy: 0.9974
126
- Training Loss: 0.0031
127
- Validation Loss: 0.0062
128
  --------------------------------------------------
129
  Epoch 22
130
- Training Accuracy: 0.9992
131
- Validation Accuracy: 0.9977
132
- Training Loss: 0.0025
133
- Validation Loss: 0.0055
134
  --------------------------------------------------
135
  Epoch 23
136
- Training Accuracy: 0.9994
137
- Validation Accuracy: 0.9980
138
- Training Loss: 0.0019
139
- Validation Loss: 0.0063
140
  --------------------------------------------------
141
  Epoch 24
142
- Training Accuracy: 0.9991
143
- Validation Accuracy: 0.9980
144
- Training Loss: 0.0031
145
- Validation Loss: 0.0061
146
  --------------------------------------------------
147
  Epoch 25
148
- Training Accuracy: 0.9994
149
- Validation Accuracy: 0.9984
150
- Training Loss: 0.0025
151
- Validation Loss: 0.0050
152
  --------------------------------------------------
153
  Epoch 26
154
- Training Accuracy: 0.9993
155
- Validation Accuracy: 0.9984
156
- Training Loss: 0.0024
157
- Validation Loss: 0.0048
158
  --------------------------------------------------
159
  Epoch 27
160
  Training Accuracy: 0.9997
161
- Validation Accuracy: 0.9990
162
- Training Loss: 0.0014
163
- Validation Loss: 0.0041
164
  --------------------------------------------------
165
  Epoch 28
166
- Training Accuracy: 0.9995
167
- Validation Accuracy: 0.9980
168
  Training Loss: 0.0020
169
- Validation Loss: 0.0054
170
  --------------------------------------------------
171
  Epoch 29
172
- Training Accuracy: 0.9998
173
- Validation Accuracy: 0.9970
174
- Training Loss: 0.0011
175
- Validation Loss: 0.0072
176
  --------------------------------------------------
177
  Epoch 30
178
- Training Accuracy: 0.9993
179
  Validation Accuracy: 0.9984
180
- Training Loss: 0.0020
181
  Validation Loss: 0.0043
182
  --------------------------------------------------
 
1
  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
+ Training Accuracy: 0.9762
5
+ Validation Accuracy: 0.9952
6
+ Training Loss: 0.0684
7
+ Validation Loss: 0.0204
8
  --------------------------------------------------
9
  Epoch 2
10
+ Training Accuracy: 0.9957
11
+ Validation Accuracy: 0.9970
12
+ Training Loss: 0.0157
13
+ Validation Loss: 0.0115
14
  --------------------------------------------------
15
  Epoch 3
16
+ Training Accuracy: 0.9971
17
+ Validation Accuracy: 0.9972
18
+ Training Loss: 0.0100
19
+ Validation Loss: 0.0093
20
  --------------------------------------------------
21
  Epoch 4
22
+ Training Accuracy: 0.9977
23
+ Validation Accuracy: 0.9979
24
+ Training Loss: 0.0073
25
+ Validation Loss: 0.0066
26
  --------------------------------------------------
27
  Epoch 5
28
+ Training Accuracy: 0.9982
29
+ Validation Accuracy: 0.9982
30
+ Training Loss: 0.0060
31
+ Validation Loss: 0.0054
32
  --------------------------------------------------
33
  Epoch 6
34
+ Training Accuracy: 0.9985
35
+ Validation Accuracy: 0.9970
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  --------------------------------------------------
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  Epoch 7
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+ Validation Accuracy: 0.9984
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  --------------------------------------------------
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  Epoch 8
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  --------------------------------------------------
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  Epoch 9
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  --------------------------------------------------
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  Epoch 10
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  --------------------------------------------------
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  Epoch 11
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  --------------------------------------------------
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  Epoch 12
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  --------------------------------------------------
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  Epoch 13
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  --------------------------------------------------
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  Epoch 14
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  --------------------------------------------------
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  Epoch 15
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  --------------------------------------------------
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  Epoch 16
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  Training Accuracy: 0.9993
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  --------------------------------------------------
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  Epoch 17
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  --------------------------------------------------
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  Epoch 18
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  --------------------------------------------------
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  --------------------------------------------------
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  Epoch 20
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  --------------------------------------------------
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  Epoch 21
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  --------------------------------------------------
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  Epoch 22
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  --------------------------------------------------
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  Epoch 23
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  --------------------------------------------------
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  Epoch 24
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  --------------------------------------------------
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  Epoch 25
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  --------------------------------------------------
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  Epoch 26
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  --------------------------------------------------
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  Epoch 27
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  --------------------------------------------------
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  Epoch 28
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+ Validation Accuracy: 0.9992
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  Training Loss: 0.0020
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  --------------------------------------------------
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  Epoch 29
172
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  --------------------------------------------------
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  Epoch 30
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  Validation Accuracy: 0.9984
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+ Training Loss: 0.0010
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  Validation Loss: 0.0043
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  --------------------------------------------------
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- AUC: 0.9999
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- Cohen's Kappa: 0.9860
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- Balanced Accuracy: 0.9940
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- Jaccard Index: 0.9761
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- Log Loss: 0.0079
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  Training and Validation Metrics Per Epoch
2
  ==================================================
3
  Epoch 1
4
- Training Accuracy: 0.9750
5
- Validation Accuracy: 0.9902
6
- Training Loss: 0.0787
7
- Validation Loss: 0.0420
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  --------------------------------------------------
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  Epoch 2
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- Training Accuracy: 0.9941
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- Validation Accuracy: 0.9918
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- Training Loss: 0.0233
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- Validation Loss: 0.0279
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  --------------------------------------------------
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  Epoch 3
16
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17
- Validation Accuracy: 0.9928
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- Training Loss: 0.0174
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- Validation Loss: 0.0221
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  --------------------------------------------------
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  Epoch 4
22
- Training Accuracy: 0.9968
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- Validation Accuracy: 0.9948
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- Training Loss: 0.0119
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- Validation Loss: 0.0171
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  --------------------------------------------------
27
  Epoch 5
28
- Training Accuracy: 0.9964
29
- Validation Accuracy: 0.9948
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- Training Loss: 0.0095
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- Validation Loss: 0.0154
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  --------------------------------------------------
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  Epoch 6
34
- Training Accuracy: 0.9976
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- Validation Accuracy: 0.9954
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- Training Loss: 0.0085
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- Validation Loss: 0.0131
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  --------------------------------------------------
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  Epoch 7
40
- Training Accuracy: 0.9971
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- Validation Accuracy: 0.9957
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- Training Loss: 0.0077
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- Validation Loss: 0.0119
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  --------------------------------------------------
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  Epoch 8
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  Training Accuracy: 0.9987
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- Validation Accuracy: 0.9954
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- Training Loss: 0.0053
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- Validation Loss: 0.0111
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  --------------------------------------------------
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  Epoch 9
52
- Training Accuracy: 0.9980
53
- Validation Accuracy: 0.9967
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- Training Loss: 0.0060
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- Validation Loss: 0.0110
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  --------------------------------------------------
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  Epoch 10
58
- Training Accuracy: 0.9984
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- Validation Accuracy: 0.9957
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- Training Loss: 0.0050
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- Validation Loss: 0.0093
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  --------------------------------------------------
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  Epoch 11
64
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- Validation Accuracy: 0.9961
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- Training Loss: 0.0041
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- Validation Loss: 0.0097
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  --------------------------------------------------
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  Epoch 12
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- Validation Accuracy: 0.9964
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- Training Loss: 0.0051
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- Validation Loss: 0.0085
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  --------------------------------------------------
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  Epoch 13
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- Training Accuracy: 0.9993
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- Validation Accuracy: 0.9964
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- Training Loss: 0.0040
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- Validation Loss: 0.0077
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  --------------------------------------------------
81
  Epoch 14
82
- Training Accuracy: 0.9981
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- Validation Accuracy: 0.9970
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- Training Loss: 0.0043
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- Validation Loss: 0.0069
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  --------------------------------------------------
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  Epoch 15
88
- Training Accuracy: 0.9990
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- Validation Accuracy: 0.9970
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- Training Loss: 0.0036
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- Validation Loss: 0.0068
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  --------------------------------------------------
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  Epoch 16
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- Training Accuracy: 0.9989
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- Validation Accuracy: 0.9967
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- Training Loss: 0.0040
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- Validation Loss: 0.0066
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  --------------------------------------------------
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  Epoch 17
100
  Training Accuracy: 0.9992
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- Validation Accuracy: 0.9967
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- Training Loss: 0.0031
103
- Validation Loss: 0.0061
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  --------------------------------------------------
105
  Epoch 18
106
- Training Accuracy: 0.9991
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- Validation Accuracy: 0.9967
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- Training Loss: 0.0029
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- Validation Loss: 0.0064
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  --------------------------------------------------
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  Epoch 19
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- Training Accuracy: 0.9993
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- Validation Accuracy: 0.9967
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- Training Loss: 0.0028
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- Validation Loss: 0.0068
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  --------------------------------------------------
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  Epoch 20
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  Training Accuracy: 0.9994
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- Validation Accuracy: 0.9970
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- Training Loss: 0.0020
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- Validation Loss: 0.0062
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  --------------------------------------------------
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  Epoch 21
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- Validation Accuracy: 0.9974
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- Training Loss: 0.0027
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- Validation Loss: 0.0064
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  --------------------------------------------------
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  Epoch 22
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- Validation Accuracy: 0.9974
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- Training Loss: 0.0024
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- Validation Loss: 0.0057
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  --------------------------------------------------
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  Epoch 23
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- Validation Accuracy: 0.9977
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- Training Loss: 0.0043
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- Validation Loss: 0.0053
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  --------------------------------------------------
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  Epoch 24
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- Validation Accuracy: 0.9977
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- Training Loss: 0.0019
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- Validation Loss: 0.0056
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  --------------------------------------------------
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  Epoch 25
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- Validation Accuracy: 0.9977
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- Training Loss: 0.0019
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- Validation Loss: 0.0056
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  --------------------------------------------------
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  Epoch 26
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- Validation Accuracy: 0.9977
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- Training Loss: 0.0015
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- Validation Loss: 0.0058
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  --------------------------------------------------
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  Epoch 27
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- Validation Accuracy: 0.9977
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- Training Loss: 0.0022
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- Validation Loss: 0.0053
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  --------------------------------------------------
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  Epoch 28
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- Training Loss: 0.0020
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- Validation Loss: 0.0049
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  --------------------------------------------------
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  Epoch 29
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- Training Loss: 0.0015
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- Validation Loss: 0.0067
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  --------------------------------------------------
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  Epoch 30
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- Validation Accuracy: 0.9980
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- Training Loss: 0.0025
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- Validation Loss: 0.0055
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  --------------------------------------------------
 
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  Training and Validation Metrics Per Epoch
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  ==================================================
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  Epoch 1
4
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  --------------------------------------------------
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  Epoch 2
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  --------------------------------------------------
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  Epoch 3
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  --------------------------------------------------
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  Epoch 4
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  --------------------------------------------------
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  Epoch 5
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  --------------------------------------------------
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  Epoch 6
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+ Training Loss: 0.0044
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+ Validation Loss: 0.0043
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  --------------------------------------------------
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  Epoch 7
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+ Training Loss: 0.0038
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+ Validation Loss: 0.0053
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  --------------------------------------------------
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  Epoch 8
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+ Training Loss: 0.0038
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  --------------------------------------------------
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  Epoch 9
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  --------------------------------------------------
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  Epoch 10
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+ Training Loss: 0.0028
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  --------------------------------------------------
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  Epoch 11
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+ Validation Accuracy: 0.9990
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+ Validation Loss: 0.0027
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  --------------------------------------------------
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  Epoch 12
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  --------------------------------------------------
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  Epoch 13
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  --------------------------------------------------
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  Epoch 14
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+ Training Loss: 0.0025
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  --------------------------------------------------
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  Epoch 15
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  --------------------------------------------------
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  Epoch 16
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  --------------------------------------------------
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  Epoch 17
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  --------------------------------------------------
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  Epoch 18
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  --------------------------------------------------
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  Epoch 19
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+ Validation Accuracy: 0.9992
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+ Validation Loss: 0.0024
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  --------------------------------------------------
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  Epoch 20
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+ Validation Accuracy: 0.9987
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+ Training Loss: 0.0017
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+ Validation Loss: 0.0032
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  --------------------------------------------------
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  Epoch 21
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+ Training Loss: 0.0012
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+ Validation Loss: 0.0017
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  --------------------------------------------------
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  Epoch 22
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+ Validation Accuracy: 0.9991
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+ Validation Loss: 0.0025
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  --------------------------------------------------
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  Epoch 23
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+ Validation Accuracy: 0.9994
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+ Training Loss: 0.0014
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  --------------------------------------------------
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  Epoch 24
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  --------------------------------------------------
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  Epoch 25
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+ Validation Accuracy: 0.9982
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+ Validation Loss: 0.0051
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  --------------------------------------------------
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  Epoch 26
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+ Validation Accuracy: 0.9987
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0031
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  --------------------------------------------------
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+ Validation Accuracy: 0.9995
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+ Training Loss: 0.0013
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  --------------------------------------------------
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  Epoch 28
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+ Validation Accuracy: 0.9990
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+ Validation Loss: 0.0031
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  --------------------------------------------------
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  Epoch 29
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+ Validation Accuracy: 0.9994
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+ Training Loss: 0.0007
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+ Validation Loss: 0.0017
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  --------------------------------------------------
177
  Epoch 30
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+ Validation Accuracy: 0.9997
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+ Training Loss: 0.0009
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+ Validation Loss: 0.0013
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  --------------------------------------------------
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