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singleenc_canvas_nometa_clean/run_report.md ADDED
@@ -0,0 +1,161 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # MILK10k Run Report
2
+
3
+ ## Config Summary
4
+
5
+ - fold: None
6
+ - output_dir: /marimo/single_encoder_split_runs/singleenc_canvas_nometa_clean
7
+ - backbone: efficientnet_b2
8
+ - metadata_fusion: concat
9
+ - image_fusion: single_encoder_canvas
10
+ - loss: ce
11
+ - class_weight: False
12
+ - weighted_sampler: False
13
+ - balance_mode: none
14
+ - balance_head_ratio: 2.0
15
+ - balance_tail_floor: 100
16
+ - balance_min_source_count: 20
17
+ - augmented_data_dir: None
18
+ - dermoscopic_mask_dir: None
19
+ - min_dermoscopic_mask_ratio: 0.01
20
+ - augmented_classes: []
21
+ - augmented_max_per_class: 0
22
+ - freeze_metadata_head: False
23
+ - zero_augmented_metadata: False
24
+
25
+ ## Final Metrics
26
+
27
+ - accuracy: 0.7146946564885496
28
+ - balanced_accuracy: 0.40211574885877677
29
+ - dice_macro: 0.42409547167495665
30
+ - f1_macro: 0.42409547167495665
31
+ - roc_auc_macro_ovr: 0.886068327441302
32
+ - top2_accuracy: 0.8645038167938931
33
+ - top3_accuracy: 0.9274809160305344
34
+
35
+ ## Data Distribution
36
+
37
+ ### Train
38
+
39
+ - rows: 4192
40
+ - real_rows: 4192
41
+ - synthetic_rows: 0
42
+ - ignore_metadata_rows: 0
43
+
44
+ | class | count | synthetic |
45
+ |---|---:|---:|
46
+ | AKIEC | 242 | 0 |
47
+ | BCC | 2018 | 0 |
48
+ | BEN_OTH | 35 | 0 |
49
+ | BKL | 435 | 0 |
50
+ | DF | 42 | 0 |
51
+ | INF | 40 | 0 |
52
+ | MAL_OTH | 7 | 0 |
53
+ | MEL | 360 | 0 |
54
+ | NV | 597 | 0 |
55
+ | SCCKA | 378 | 0 |
56
+ | VASC | 38 | 0 |
57
+
58
+ ### Validation
59
+
60
+ - rows: 1048
61
+ - real_rows: 1048
62
+ - synthetic_rows: 0
63
+ - ignore_metadata_rows: 0
64
+
65
+ | class | count | synthetic |
66
+ |---|---:|---:|
67
+ | AKIEC | 61 | 0 |
68
+ | BCC | 504 | 0 |
69
+ | BEN_OTH | 9 | 0 |
70
+ | BKL | 109 | 0 |
71
+ | DF | 10 | 0 |
72
+ | INF | 10 | 0 |
73
+ | MAL_OTH | 2 | 0 |
74
+ | MEL | 90 | 0 |
75
+ | NV | 149 | 0 |
76
+ | SCCKA | 95 | 0 |
77
+ | VASC | 9 | 0 |
78
+
79
+ ## Per-Class Metrics
80
+
81
+ | class | support | precision | recall_sensitivity | specificity | f1 | auc_ovr | mean_correct_confidence |
82
+ | --- | --- | --- | --- | --- | --- | --- | --- |
83
+ | AKIEC | 61 | 0.615385 | 0.393443 | 0.984802 | 0.48 | 0.917618 | 0.741816 |
84
+ | BCC | 504 | 0.81162 | 0.914683 | 0.803309 | 0.860075 | 0.934141 | 0.907536 |
85
+ | BEN_OTH | 9 | 0.2 | 0.111111 | 0.99615 | 0.142857 | 0.937868 | 0.788704 |
86
+ | BKL | 109 | 0.546512 | 0.431193 | 0.958466 | 0.482051 | 0.827906 | 0.732714 |
87
+ | DF | 10 | 0.6 | 0.3 | 0.998073 | 0.4 | 0.957611 | 0.551303 |
88
+ | INF | 10 | 0.166667 | 0.1 | 0.995183 | 0.125 | 0.918015 | 0.498561 |
89
+ | MAL_OTH | 2 | 0 | 0 | 1 | 0 | 0.491396 | |
90
+ | MEL | 90 | 0.627907 | 0.3 | 0.983299 | 0.406015 | 0.902285 | 0.768796 |
91
+ | NV | 149 | 0.64433 | 0.838926 | 0.923248 | 0.728863 | 0.954745 | 0.920438 |
92
+ | SCCKA | 95 | 0.602151 | 0.589474 | 0.961175 | 0.595745 | 0.932866 | 0.852164 |
93
+ | VASC | 9 | 0.444444 | 0.444444 | 0.995188 | 0.444444 | 0.972302 | 0.870956 |
94
+
95
+ ## Weak Classes
96
+
97
+ | class | support | precision | recall_sensitivity | specificity | f1 | auc_ovr | mean_correct_confidence |
98
+ | --- | --- | --- | --- | --- | --- | --- | --- |
99
+ | MAL_OTH | 2 | 0 | 0 | 1 | 0 | 0.491396 | |
100
+ | INF | 10 | 0.166667 | 0.1 | 0.995183 | 0.125 | 0.918015 | 0.498561 |
101
+ | BEN_OTH | 9 | 0.2 | 0.111111 | 0.99615 | 0.142857 | 0.937868 | 0.788704 |
102
+ | DF | 10 | 0.6 | 0.3 | 0.998073 | 0.4 | 0.957611 | 0.551303 |
103
+ | MEL | 90 | 0.627907 | 0.3 | 0.983299 | 0.406015 | 0.902285 | 0.768796 |
104
+
105
+ ## Prediction Distribution
106
+
107
+ | class | pred_count | mean_prob |
108
+ |---|---:|---:|
109
+ | AKIEC | 39 | 0.0475 |
110
+ | BCC | 568 | 0.5023 |
111
+ | BEN_OTH | 5 | 0.0083 |
112
+ | BKL | 86 | 0.0987 |
113
+ | DF | 5 | 0.0064 |
114
+ | INF | 6 | 0.0052 |
115
+ | MAL_OTH | 0 | 0.0006 |
116
+ | MEL | 43 | 0.0495 |
117
+ | NV | 194 | 0.1812 |
118
+ | SCCKA | 93 | 0.0928 |
119
+ | VASC | 9 | 0.0075 |
120
+
121
+ - mean_confidence: 0.8349446654319763
122
+ - median_confidence: 0.9272555112838745
123
+ - mean_top1_top2_gap: 0.7250550985336304
124
+ - mean_entropy: 0.46895378828048706
125
+ - low_confidence_rows: 86
126
+
127
+ ## Top Confusion Pairs
128
+
129
+ | true | predicted | count | rate_of_true |
130
+ |---|---|---:|---:|
131
+ | MEL | NV | 45 | 0.500 |
132
+ | BKL | BCC | 35 | 0.321 |
133
+ | SCCKA | BCC | 27 | 0.284 |
134
+ | AKIEC | BCC | 14 | 0.230 |
135
+ | AKIEC | SCCKA | 13 | 0.213 |
136
+ | BCC | SCCKA | 12 | 0.024 |
137
+ | BKL | SCCKA | 11 | 0.101 |
138
+ | AKIEC | BKL | 10 | 0.164 |
139
+ | BCC | BKL | 9 | 0.018 |
140
+ | BCC | NV | 9 | 0.018 |
141
+ | BKL | NV | 9 | 0.083 |
142
+ | MEL | BCC | 8 | 0.089 |
143
+
144
+ ## Watched Confusion Patterns
145
+
146
+ | true | predicted | count | rate_of_true |
147
+ |---|---|---:|---:|
148
+ | AKIEC | SCCKA | 13 | 0.213 |
149
+ | BCC | SCCKA | 12 | 0.024 |
150
+ | BKL | SCCKA | 11 | 0.101 |
151
+ | BCC | BKL | 9 | 0.018 |
152
+ | INF | BCC | 7 | 0.700 |
153
+ | SCCKA | AKIEC | 7 | 0.074 |
154
+ | BCC | AKIEC | 6 | 0.012 |
155
+ | SCCKA | BKL | 5 | 0.053 |
156
+ | INF | BEN_OTH | 1 | 0.100 |
157
+ | INF | NV | 1 | 0.100 |
158
+
159
+ ## Warnings
160
+
161
+ - [medium] tiny_validation_support: MAL_OTH validation support is only 2.
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