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  1. singleenc_canvas_meta_sampler05.predict.log +4 -0
  2. singleenc_canvas_meta_sampler05.train.log +0 -0
  3. singleenc_canvas_meta_sampler05/confusion_analysis.json +858 -0
  4. singleenc_canvas_meta_sampler05/confusion_matrix.csv +12 -0
  5. singleenc_canvas_meta_sampler05/confusion_matrix_raw.csv +12 -0
  6. singleenc_canvas_meta_sampler05/data_summary.json +102 -0
  7. singleenc_canvas_meta_sampler05/history.csv +0 -0
  8. singleenc_canvas_meta_sampler05/metrics.json +719 -0
  9. singleenc_canvas_meta_sampler05/per_class_metrics.csv +12 -0
  10. singleenc_canvas_meta_sampler05/per_class_metrics_raw.csv +12 -0
  11. singleenc_canvas_meta_sampler05/prediction_summary.json +50 -0
  12. singleenc_canvas_meta_sampler05/run_config.json +206 -0
  13. singleenc_canvas_meta_sampler05/run_diagnostics.json +925 -0
  14. singleenc_canvas_meta_sampler05/run_report.md +162 -0
  15. singleenc_canvas_meta_sampler05/split_summary.md +66 -0
  16. singleenc_canvas_meta_sampler05/splits/train.csv +0 -0
  17. singleenc_canvas_meta_sampler05/splits/val.csv +0 -0
  18. singleenc_canvas_meta_sampler05/val_predictions.csv +0 -0
  19. singleenc_pool_meta_sampler05.predict.log +4 -0
  20. singleenc_pool_meta_sampler05.train.log +0 -0
  21. singleenc_pool_meta_sampler05/confusion_matrix.csv +12 -0
  22. singleenc_pool_meta_sampler05/confusion_matrix_raw.csv +12 -0
  23. singleenc_pool_meta_sampler05/data_summary.json +102 -0
  24. singleenc_pool_meta_sampler05/history.csv +0 -0
  25. singleenc_pool_meta_sampler05/metrics.json +719 -0
  26. singleenc_pool_meta_sampler05/per_class_metrics.csv +12 -0
  27. singleenc_pool_meta_sampler05/per_class_metrics_raw.csv +12 -0
  28. singleenc_pool_meta_sampler05/prediction_summary.json +50 -0
  29. singleenc_pool_meta_sampler05/run_config.json +206 -0
  30. singleenc_pool_meta_sampler05/split_summary.md +66 -0
  31. singleenc_pool_meta_sampler05/val_predictions.csv +0 -0
  32. singleenc_pool_nometa_clean.predict.log +4 -0
  33. singleenc_pool_nometa_clean.train.log +0 -0
  34. singleenc_pool_nometa_clean/confusion_analysis.json +826 -0
  35. singleenc_pool_nometa_clean/confusion_matrix.csv +12 -0
  36. singleenc_pool_nometa_clean/confusion_matrix_raw.csv +12 -0
  37. singleenc_pool_nometa_clean/data_summary.json +102 -0
  38. singleenc_pool_nometa_clean/history.csv +0 -0
  39. singleenc_pool_nometa_clean/metrics.json +719 -0
  40. singleenc_pool_nometa_clean/per_class_metrics.csv +12 -0
  41. singleenc_pool_nometa_clean/per_class_metrics_raw.csv +12 -0
  42. singleenc_pool_nometa_clean/prediction_summary.json +50 -0
  43. singleenc_pool_nometa_clean/raw/val_predictions.csv +0 -0
  44. singleenc_pool_nometa_clean/run_config.json +204 -0
  45. singleenc_pool_nometa_clean/run_diagnostics.json +887 -0
  46. singleenc_pool_nometa_clean/run_report.md +160 -0
  47. singleenc_pool_nometa_clean/split_summary.md +66 -0
  48. singleenc_pool_nometa_clean/splits/train.csv +0 -0
  49. singleenc_pool_nometa_clean/splits/val.csv +0 -0
  50. singleenc_pool_nometa_clean/val_predictions.csv +0 -0
singleenc_canvas_meta_sampler05.predict.log ADDED
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+ Tail audit DF: predicted_count=3, mean_probability=0.009148, max_probability=0.992525
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+ Tail audit INF: predicted_count=6, mean_probability=0.010999, max_probability=0.842095
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+ Saved predictions: /marimo/single_encoder_split_submissions/singleenc_canvas_meta_sampler05.csv
singleenc_canvas_meta_sampler05.train.log ADDED
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singleenc_canvas_meta_sampler05/confusion_analysis.json ADDED
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+ }
642
+ ],
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+ "NV": [
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691
+ }
692
+ ],
693
+ "SCCKA": [
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+ {
695
+ "predicted": "SCCKA",
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+ },
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+ },
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+ "true": "NV",
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+ "count": 1,
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723
+ }
724
+ ],
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+ "VASC": [
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+ {
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+ "predicted": "VASC",
728
+ "true": "BCC",
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+ "count": 1,
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+ "rate_of_predicted": 0.1111111111111111
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+ },
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+ {
733
+ "predicted": "VASC",
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+ "true": "MEL",
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+ "count": 1,
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+ "rate_of_predicted": 0.1111111111111111
737
+ }
738
+ ]
739
+ },
740
+ "top_confusion_pairs": [
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+ {
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+ "true": "BCC",
743
+ "predicted": "SCCKA",
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+ "count": 43,
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+ "rate_of_true": 0.08531746031746032
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+ },
747
+ {
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+ "true": "BKL",
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+ "predicted": "BCC",
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+ "count": 36,
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+ "rate_of_true": 0.3302752293577982
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+ },
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+ {
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+ "true": "MEL",
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+ "predicted": "NV",
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+ "count": 25,
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+ "rate_of_true": 0.2777777777777778
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+ },
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+ {
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+ "true": "BCC",
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+ "predicted": "AKIEC",
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+ "count": 20,
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+ "rate_of_true": 0.03968253968253968
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+ },
765
+ {
766
+ "true": "SCCKA",
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+ "predicted": "BCC",
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+ "count": 20,
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+ "rate_of_true": 0.21052631578947367
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+ },
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+ {
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+ "true": "NV",
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+ "predicted": "MEL",
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+ "count": 19,
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+ "rate_of_true": 0.12751677852348994
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+ },
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+ {
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+ "true": "AKIEC",
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+ "predicted": "SCCKA",
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+ "count": 17,
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+ "rate_of_true": 0.2786885245901639
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+ },
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+ "true": "NV",
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+ "count": 13,
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+ "rate_of_true": 0.087248322147651
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+ },
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+ },
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+ },
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+ "true": "AKIEC",
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831
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+ "count": 6,
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+ }
861
+ ],
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+ "watched_confusion_patterns": [
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864
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+ "predicted": "SCCKA",
866
+ "count": 43,
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+ "rate_of_true": 0.08531746031746032
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+ },
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+ },
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+ },
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+ "count": 5,
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904
+ },
905
+ {
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+ "count": 4,
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+ "rate_of_true": 0.4
910
+ },
911
+ {
912
+ "true": "INF",
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+ "predicted": "NV",
914
+ "count": 3,
915
+ "rate_of_true": 0.3
916
+ },
917
+ {
918
+ "true": "INF",
919
+ "predicted": "BEN_OTH",
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+ "count": 1,
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+ "rate_of_true": 0.1
922
+ }
923
+ ]
924
+ }
925
+ }
singleenc_canvas_meta_sampler05/run_report.md ADDED
@@ -0,0 +1,162 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # MILK10k Run Report
2
+
3
+ ## Config Summary
4
+
5
+ - fold: None
6
+ - output_dir: /marimo/single_encoder_split_runs/singleenc_canvas_meta_sampler05
7
+ - backbone: efficientnet_b2
8
+ - metadata_fusion: concat
9
+ - image_fusion: single_encoder_canvas
10
+ - loss: ce
11
+ - class_weight: False
12
+ - weighted_sampler: True
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: 0.6774809160305344
28
+ - balanced_accuracy: 0.4665233342016087
29
+ - dice_macro: 0.47014667387149883
30
+ - f1_macro: 0.47014667387149883
31
+ - roc_auc_macro_ovr: 0.9046510879118158
32
+ - top2_accuracy: 0.8645038167938931
33
+ - top3_accuracy: 0.9312977099236641
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 | 0.439394 | 0.47541 | 0.962513 | 0.456693 | 0.899131 | 0.719639 |
84
+ | BCC | 504 | 0.824701 | 0.821429 | 0.838235 | 0.823062 | 0.916017 | 0.846007 |
85
+ | BEN_OTH | 9 | 0.444444 | 0.444444 | 0.995188 | 0.444444 | 0.917977 | 0.56121 |
86
+ | BKL | 109 | 0.428571 | 0.330275 | 0.948882 | 0.373057 | 0.82945 | 0.750065 |
87
+ | DF | 10 | 0.5 | 0.3 | 0.99711 | 0.375 | 0.963198 | 0.899172 |
88
+ | INF | 10 | 0.2 | 0.1 | 0.996146 | 0.133333 | 0.934971 | 0.950753 |
89
+ | MAL_OTH | 2 | 0 | 0 | 0.999044 | 0 | 0.716539 | |
90
+ | MEL | 90 | 0.552632 | 0.466667 | 0.964509 | 0.506024 | 0.907782 | 0.7485 |
91
+ | NV | 149 | 0.721854 | 0.731544 | 0.953281 | 0.726667 | 0.952699 | 0.893575 |
92
+ | SCCKA | 95 | 0.467626 | 0.684211 | 0.92235 | 0.555556 | 0.929652 | 0.85163 |
93
+ | VASC | 9 | 0.777778 | 0.777778 | 0.998075 | 0.777778 | 0.983745 | 0.778921 |
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 | 0.999044 | 0 | 0.716539 | |
100
+ | INF | 10 | 0.2 | 0.1 | 0.996146 | 0.133333 | 0.934971 | 0.950753 |
101
+ | BKL | 109 | 0.428571 | 0.330275 | 0.948882 | 0.373057 | 0.82945 | 0.750065 |
102
+ | DF | 10 | 0.5 | 0.3 | 0.99711 | 0.375 | 0.963198 | 0.899172 |
103
+ | BEN_OTH | 9 | 0.444444 | 0.444444 | 0.995188 | 0.444444 | 0.917977 | 0.56121 |
104
+
105
+ ## Prediction Distribution
106
+
107
+ | class | pred_count | mean_prob |
108
+ |---|---:|---:|
109
+ | AKIEC | 66 | 0.0770 |
110
+ | BCC | 502 | 0.4313 |
111
+ | BEN_OTH | 9 | 0.0100 |
112
+ | BKL | 84 | 0.1108 |
113
+ | DF | 6 | 0.0065 |
114
+ | INF | 5 | 0.0056 |
115
+ | MAL_OTH | 1 | 0.0018 |
116
+ | MEL | 76 | 0.0714 |
117
+ | NV | 151 | 0.1461 |
118
+ | SCCKA | 139 | 0.1299 |
119
+ | VASC | 9 | 0.0097 |
120
+
121
+ - mean_confidence: 0.7871461510658264
122
+ - median_confidence: 0.8483368158340454
123
+ - mean_top1_top2_gap: 0.6446683406829834
124
+ - mean_entropy: 0.5853668451309204
125
+ - low_confidence_rows: 111
126
+
127
+ ## Top Confusion Pairs
128
+
129
+ | true | predicted | count | rate_of_true |
130
+ |---|---|---:|---:|
131
+ | BCC | SCCKA | 43 | 0.085 |
132
+ | BKL | BCC | 36 | 0.330 |
133
+ | MEL | NV | 25 | 0.278 |
134
+ | BCC | AKIEC | 20 | 0.040 |
135
+ | SCCKA | BCC | 20 | 0.211 |
136
+ | NV | MEL | 19 | 0.128 |
137
+ | AKIEC | SCCKA | 17 | 0.279 |
138
+ | NV | BKL | 13 | 0.087 |
139
+ | BCC | BKL | 12 | 0.024 |
140
+ | BKL | SCCKA | 11 | 0.101 |
141
+ | BKL | AKIEC | 10 | 0.092 |
142
+ | MEL | BCC | 10 | 0.111 |
143
+
144
+ ## Watched Confusion Patterns
145
+
146
+ | true | predicted | count | rate_of_true |
147
+ |---|---|---:|---:|
148
+ | BCC | SCCKA | 43 | 0.085 |
149
+ | BCC | AKIEC | 20 | 0.040 |
150
+ | AKIEC | SCCKA | 17 | 0.279 |
151
+ | BCC | BKL | 12 | 0.024 |
152
+ | BKL | SCCKA | 11 | 0.101 |
153
+ | SCCKA | AKIEC | 5 | 0.053 |
154
+ | SCCKA | BKL | 5 | 0.053 |
155
+ | INF | BCC | 4 | 0.400 |
156
+ | INF | NV | 3 | 0.300 |
157
+ | INF | BEN_OTH | 1 | 0.100 |
158
+
159
+ ## Warnings
160
+
161
+ - [high] bcc_boundary_drift: BCC -> AKIEC/BKL/SCCKA count is 75.
162
+ - [medium] tiny_validation_support: MAL_OTH validation support is only 2.
singleenc_canvas_meta_sampler05/split_summary.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Split Summary
2
+
3
+ ## Full
4
+
5
+ - rows: 5240
6
+ - real_rows: 5240
7
+ - synthetic_rows: 0
8
+ - ignore_metadata_rows: 0
9
+
10
+ | class | count | synthetic |
11
+ |---|---:|---:|
12
+ | AKIEC | 303 | 0 |
13
+ | BCC | 2522 | 0 |
14
+ | BEN_OTH | 44 | 0 |
15
+ | BKL | 544 | 0 |
16
+ | DF | 52 | 0 |
17
+ | INF | 50 | 0 |
18
+ | MAL_OTH | 9 | 0 |
19
+ | MEL | 450 | 0 |
20
+ | NV | 746 | 0 |
21
+ | SCCKA | 473 | 0 |
22
+ | VASC | 47 | 0 |
23
+
24
+ ## Train
25
+
26
+ - rows: 4192
27
+ - real_rows: 4192
28
+ - synthetic_rows: 0
29
+ - ignore_metadata_rows: 0
30
+
31
+ | class | count | synthetic |
32
+ |---|---:|---:|
33
+ | AKIEC | 242 | 0 |
34
+ | BCC | 2018 | 0 |
35
+ | BEN_OTH | 35 | 0 |
36
+ | BKL | 435 | 0 |
37
+ | DF | 42 | 0 |
38
+ | INF | 40 | 0 |
39
+ | MAL_OTH | 7 | 0 |
40
+ | MEL | 360 | 0 |
41
+ | NV | 597 | 0 |
42
+ | SCCKA | 378 | 0 |
43
+ | VASC | 38 | 0 |
44
+
45
+ ## Val
46
+
47
+ - rows: 1048
48
+ - real_rows: 1048
49
+ - synthetic_rows: 0
50
+ - ignore_metadata_rows: 0
51
+
52
+ | class | count | synthetic |
53
+ |---|---:|---:|
54
+ | AKIEC | 61 | 0 |
55
+ | BCC | 504 | 0 |
56
+ | BEN_OTH | 9 | 0 |
57
+ | BKL | 109 | 0 |
58
+ | DF | 10 | 0 |
59
+ | INF | 10 | 0 |
60
+ | MAL_OTH | 2 | 0 |
61
+ | MEL | 90 | 0 |
62
+ | NV | 149 | 0 |
63
+ | SCCKA | 95 | 0 |
64
+ | VASC | 9 | 0 |
65
+
66
+ - synthetic_train_only: False
singleenc_canvas_meta_sampler05/splits/train.csv ADDED
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singleenc_canvas_meta_sampler05/splits/val.csv ADDED
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singleenc_canvas_meta_sampler05/val_predictions.csv ADDED
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singleenc_pool_meta_sampler05.predict.log ADDED
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0
  0%| | 0/60 [00:00<?, ?it/s]
1
  2%|▏ | 1/60 [00:01<01:13, 1.25s/it]
2
  17%|█▋ | 10/60 [00:01<00:05, 9.83it/s]
3
  25%|██▌ | 15/60 [00:01<00:03, 14.90it/s]
4
  35%|███▌ | 21/60 [00:01<00:01, 21.55it/s]
5
  45%|████▌ | 27/60 [00:01<00:01, 26.82it/s]
6
  53%|█████▎ | 32/60 [00:01<00:00, 30.87it/s]
7
  63%|██████▎ | 38/60 [00:01<00:00, 37.01it/s]
8
  73%|███████▎ | 44/60 [00:02<00:00, 39.24it/s]
9
  83%|████████▎ | 50/60 [00:02<00:00, 43.57it/s]
10
  93%|█████████▎| 56/60 [00:02<00:00, 43.91it/s]
11
 
 
 
 
 
1
+
2
  0%| | 0/60 [00:00<?, ?it/s]
3
  2%|▏ | 1/60 [00:01<01:13, 1.25s/it]
4
  17%|█▋ | 10/60 [00:01<00:05, 9.83it/s]
5
  25%|██▌ | 15/60 [00:01<00:03, 14.90it/s]
6
  35%|███▌ | 21/60 [00:01<00:01, 21.55it/s]
7
  45%|████▌ | 27/60 [00:01<00:01, 26.82it/s]
8
  53%|█████▎ | 32/60 [00:01<00:00, 30.87it/s]
9
  63%|██████▎ | 38/60 [00:01<00:00, 37.01it/s]
10
  73%|███████▎ | 44/60 [00:02<00:00, 39.24it/s]
11
  83%|████████▎ | 50/60 [00:02<00:00, 43.57it/s]
12
  93%|█████████▎| 56/60 [00:02<00:00, 43.91it/s]
13
 
14
+ Tail audit DF: predicted_count=3, mean_probability=0.007723, max_probability=0.522860
15
+ Tail audit INF: predicted_count=5, mean_probability=0.014818, max_probability=0.611522
16
+ Saved predictions: /marimo/single_encoder_split_submissions/singleenc_pool_meta_sampler05.csv
singleenc_pool_meta_sampler05.train.log ADDED
The diff for this file is too large to render. See raw diff
 
singleenc_pool_meta_sampler05/confusion_matrix.csv ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,AKIEC,BCC,BEN_OTH,BKL,DF,INF,MAL_OTH,MEL,NV,SCCKA,VASC
2
+ AKIEC,16,23,0,9,0,0,0,0,0,13,0
3
+ BCC,4,410,2,21,2,5,0,4,3,52,1
4
+ BEN_OTH,1,3,1,0,0,0,0,2,2,0,0
5
+ BKL,4,40,0,42,0,1,0,6,4,11,1
6
+ DF,0,0,1,1,4,0,0,1,3,0,0
7
+ INF,1,4,1,0,0,3,0,0,0,1,0
8
+ MAL_OTH,0,1,1,0,0,0,0,0,0,0,0
9
+ MEL,1,11,0,11,1,0,0,35,29,1,1
10
+ NV,0,5,1,7,0,0,0,16,118,1,1
11
+ SCCKA,3,21,0,9,0,1,0,0,0,61,0
12
+ VASC,0,2,0,0,0,0,0,0,1,0,6
singleenc_pool_meta_sampler05/confusion_matrix_raw.csv ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,AKIEC,BCC,BEN_OTH,BKL,DF,INF,MAL_OTH,MEL,NV,SCCKA,VASC
2
+ AKIEC,16,23,0,9,0,0,0,0,0,13,0
3
+ BCC,4,410,2,21,2,5,0,4,3,52,1
4
+ BEN_OTH,1,3,1,0,0,0,0,2,2,0,0
5
+ BKL,4,40,0,42,0,1,0,6,4,11,1
6
+ DF,0,0,1,1,4,0,0,1,3,0,0
7
+ INF,1,4,1,0,0,3,0,0,0,1,0
8
+ MAL_OTH,0,1,1,0,0,0,0,0,0,0,0
9
+ MEL,1,11,0,11,1,0,0,35,29,1,1
10
+ NV,0,5,1,7,0,0,0,16,118,1,1
11
+ SCCKA,3,21,0,9,0,1,0,0,0,61,0
12
+ VASC,0,2,0,0,0,0,0,0,1,0,6
singleenc_pool_meta_sampler05/data_summary.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "full": {
3
+ "rows": 5240,
4
+ "class_counts": {
5
+ "AKIEC": 303,
6
+ "BCC": 2522,
7
+ "BEN_OTH": 44,
8
+ "BKL": 544,
9
+ "DF": 52,
10
+ "INF": 50,
11
+ "MAL_OTH": 9,
12
+ "MEL": 450,
13
+ "NV": 746,
14
+ "SCCKA": 473,
15
+ "VASC": 47
16
+ },
17
+ "real_rows": 5240,
18
+ "synthetic_rows": 0,
19
+ "synthetic_class_counts": {
20
+ "AKIEC": 0,
21
+ "BCC": 0,
22
+ "BEN_OTH": 0,
23
+ "BKL": 0,
24
+ "DF": 0,
25
+ "INF": 0,
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+ "MAL_OTH": 0,
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+ "MEL": 0,
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+ "NV": 0,
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+ "SCCKA": 0,
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+ "VASC": 0
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+ },
32
+ "ignore_metadata_rows": 0,
33
+ "dermoscopic_mask_status_counts": {}
34
+ },
35
+ "train": {
36
+ "rows": 4192,
37
+ "class_counts": {
38
+ "AKIEC": 242,
39
+ "BCC": 2018,
40
+ "BEN_OTH": 35,
41
+ "BKL": 435,
42
+ "DF": 42,
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+ "INF": 40,
44
+ "MAL_OTH": 7,
45
+ "MEL": 360,
46
+ "NV": 597,
47
+ "SCCKA": 378,
48
+ "VASC": 38
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+ },
50
+ "real_rows": 4192,
51
+ "synthetic_rows": 0,
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+ "synthetic_class_counts": {
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+ "AKIEC": 0,
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+ "BCC": 0,
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+ "BEN_OTH": 0,
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+ "MAL_OTH": 0,
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+ "NV": 0,
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+ "SCCKA": 0,
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+ "VASC": 0
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+ },
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+ "ignore_metadata_rows": 0,
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+ "dermoscopic_mask_status_counts": {}
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+ },
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+ "val": {
69
+ "rows": 1048,
70
+ "class_counts": {
71
+ "AKIEC": 61,
72
+ "BCC": 504,
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+ "BEN_OTH": 9,
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+ "BKL": 109,
75
+ "DF": 10,
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+ "INF": 10,
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+ "MAL_OTH": 2,
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+ "MEL": 90,
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+ "NV": 149,
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+ },
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+ "real_rows": 1048,
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+ "synthetic_rows": 0,
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+ "synthetic_class_counts": {
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+ "AKIEC": 0,
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+ "BCC": 0,
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+ "BEN_OTH": 0,
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+ "BKL": 0,
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+ },
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+ "ignore_metadata_rows": 0,
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+ "dermoscopic_mask_status_counts": {}
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+ },
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+ "synthetic_train_only": false
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+ }
singleenc_pool_meta_sampler05/history.csv ADDED
The diff for this file is too large to render. See raw diff
 
singleenc_pool_meta_sampler05/metrics.json ADDED
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1
+ {
2
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3
+ "selection_metric_name": "f1_macro",
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+ "best_val_f1_macro": 0.4380871905392807,
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+ "checkpoint_variant": "raw",
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+ "temperature": 1.0,
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+ "variants": {
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+ "raw": {
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+ "checkpoint": "/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05/best_raw.pt",
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+ "temperature": 1.0,
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+ {
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singleenc_pool_meta_sampler05/per_class_metrics_raw.csv ADDED
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singleenc_pool_meta_sampler05/prediction_summary.json ADDED
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1
+ {
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+ "mean_top1_top2_gap": 0.5957076549530029,
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+ "low_confidence_rows": 152
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+ }
singleenc_pool_meta_sampler05/run_config.json ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "args": {
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+ "data_dir": "/marimo/milk10k",
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+ "dermoscopic_mask_dir": null,
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+ "resume_checkpoint": null,
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+ "output_dir": "/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05",
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+ "freeze_epochs": 8,
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+ "backbone": "efficientnet_b2",
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+ "num_workers": 4,
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+ "metadata_lr": null,
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+ "image_fusion": "shared_encoder_pool",
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+ "metadata_gate_hidden_dim": 64,
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+ "disable_metadata": false,
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+ "freeze_metadata_head": false,
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+ "weight_decay": 0.0001,
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+ "zero_augmented_metadata": false,
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+ "seed": 42,
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+ "metadata_dim": 64,
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+ "classifier_hidden_dim": 512,
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+ "dropout": 0.3,
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+ "balance_head_ratio": 2.0,
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+ "loss": "ce",
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+ "f1_ignore_classes": [],
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+ "f1_class_weight": [],
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56
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+ "ldam_alpha_max": 10.0,
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+ "k_folds": 1,
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+ "amp": true,
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62
+ "imagenet_pretrained": true,
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+ "selection_metric": "f1_macro",
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+ "calibration_metric": "dice_macro",
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+ "calibration_max_bias": 1.5,
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+ "patience": 6,
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+ "lws_sampler_power": 0.5,
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+ "lws_min_scale": 0.75,
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+ "lws_max_scale": 1.5,
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+ "ema": false,
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+ "fit_temperature": false
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+ },
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+ "environment": {
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+ "timestamp_utc": "2026-06-23T01:00:23.156648+00:00",
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+ "cwd": "/marimo",
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+ "command": [
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+ "/marimo/code/train_milk10k_effb2_dual_metadata.py",
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+ "--data-dir",
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+ "/marimo/milk10k",
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+ "--backbone",
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+ "efficientnet_b2",
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+ "--backbone-backend",
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+ "auto",
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+ "--metadata-fusion",
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+ "concat",
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+ "--classifier-style",
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+ "simple",
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+ "--logit-fusion-mode",
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+ "single",
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+ "--loss",
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+ "ce",
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+ "--freeze-epochs",
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+ "8",
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+ "--finetune-epochs",
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+ "40",
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+ "--batch-size",
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+ "8",
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+ "--image-size",
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+ "260",
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+ "--selection-metric",
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+ "f1_macro",
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+ "--patience",
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+ "6",
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+ "--num-workers",
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+ "4",
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+ "--seed",
114
+ "42",
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+ "--amp",
116
+ "--output-dir",
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+ "/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05",
118
+ "--image-fusion",
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+ "shared_encoder_pool",
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+ "--weighted-sampler",
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+ "--sampler-power",
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+ "0.5"
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+ ],
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+ "python": "3.13.11 (main, Feb 3 2026, 03:08:54) [GCC 14.2.0]",
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+ "platform": "Linux-4.4.0-x86_64-with-glibc2.41",
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+ "executable": "/tmp/uv-venv/bin/python",
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+ "torch": {
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+ "cuda_available": true,
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+ "cuda_device_name": "NVIDIA RTX PRO 6000 Blackwell Server Edition"
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+ }
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+ },
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+ "class_names": [
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+ "AKIEC",
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+ "BCC",
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+ "BEN_OTH",
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+ "BKL",
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+ "DF",
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+ "INF",
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+ "MAL_OTH",
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+ "MEL",
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+ "NV",
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+ "SCCKA",
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+ "VASC"
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+ ],
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+ "label_to_idx": {
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+ "metadata_spec": {
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+ "sex_values": [
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+ "female",
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+ "male",
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+ "unknown"
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+ ],
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+ "site_values": [
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+ "foot",
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+ "genital",
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+ "hand",
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+ "head_neck_face",
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+ "lower_extremity",
175
+ "trunk",
176
+ "unknown",
177
+ "upper_extremity"
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+ ],
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+ "monet_columns": [
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+ "MONET_erythema",
181
+ "MONET_gel_water_drop_fluid_dermoscopy_liquid",
182
+ "MONET_hair",
183
+ "MONET_pigmented",
184
+ "MONET_skin_markings_pen_ink_purple_pen",
185
+ "MONET_ulceration_crust",
186
+ "MONET_vasculature_vessels"
187
+ ]
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+ },
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+ "model_type": "DualEffB2MetadataClassifier",
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194
+ "image_fusion": "shared_encoder_pool",
195
+ "clinical_backbone": "timm efficientnet_b2",
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+ "dermoscopic_backbone": "timm efficientnet_b2",
197
+ "paths": {
198
+ "output_dir": "/marimo/single_encoder_split_runs/singleenc_pool_meta_sampler05",
199
+ "data_dir": "/marimo/milk10k",
200
+ "dermoscopic_mask_dir": "None",
201
+ "clinical_checkpoint": "None",
202
+ "dermoscopic_checkpoint": "None",
203
+ "resume_checkpoint": "None",
204
+ "augmented_data_dir": "None"
205
+ }
206
+ }
singleenc_pool_meta_sampler05/split_summary.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Split Summary
2
+
3
+ ## Full
4
+
5
+ - rows: 5240
6
+ - real_rows: 5240
7
+ - synthetic_rows: 0
8
+ - ignore_metadata_rows: 0
9
+
10
+ | class | count | synthetic |
11
+ |---|---:|---:|
12
+ | AKIEC | 303 | 0 |
13
+ | BCC | 2522 | 0 |
14
+ | BEN_OTH | 44 | 0 |
15
+ | BKL | 544 | 0 |
16
+ | DF | 52 | 0 |
17
+ | INF | 50 | 0 |
18
+ | MAL_OTH | 9 | 0 |
19
+ | MEL | 450 | 0 |
20
+ | NV | 746 | 0 |
21
+ | SCCKA | 473 | 0 |
22
+ | VASC | 47 | 0 |
23
+
24
+ ## Train
25
+
26
+ - rows: 4192
27
+ - real_rows: 4192
28
+ - synthetic_rows: 0
29
+ - ignore_metadata_rows: 0
30
+
31
+ | class | count | synthetic |
32
+ |---|---:|---:|
33
+ | AKIEC | 242 | 0 |
34
+ | BCC | 2018 | 0 |
35
+ | BEN_OTH | 35 | 0 |
36
+ | BKL | 435 | 0 |
37
+ | DF | 42 | 0 |
38
+ | INF | 40 | 0 |
39
+ | MAL_OTH | 7 | 0 |
40
+ | MEL | 360 | 0 |
41
+ | NV | 597 | 0 |
42
+ | SCCKA | 378 | 0 |
43
+ | VASC | 38 | 0 |
44
+
45
+ ## Val
46
+
47
+ - rows: 1048
48
+ - real_rows: 1048
49
+ - synthetic_rows: 0
50
+ - ignore_metadata_rows: 0
51
+
52
+ | class | count | synthetic |
53
+ |---|---:|---:|
54
+ | AKIEC | 61 | 0 |
55
+ | BCC | 504 | 0 |
56
+ | BEN_OTH | 9 | 0 |
57
+ | BKL | 109 | 0 |
58
+ | DF | 10 | 0 |
59
+ | INF | 10 | 0 |
60
+ | MAL_OTH | 2 | 0 |
61
+ | MEL | 90 | 0 |
62
+ | NV | 149 | 0 |
63
+ | SCCKA | 95 | 0 |
64
+ | VASC | 9 | 0 |
65
+
66
+ - synthetic_train_only: False
singleenc_pool_meta_sampler05/val_predictions.csv ADDED
The diff for this file is too large to render. See raw diff
 
singleenc_pool_nometa_clean.predict.log ADDED
@@ -0,0 +1,4 @@
 
0
  0%| | 0/60 [00:00<?, ?it/s]
1
  2%|▏ | 1/60 [00:01<01:21, 1.38s/it]
2
  17%|█▋ | 10/60 [00:01<00:05, 9.10it/s]
3
  27%|██▋ | 16/60 [00:01<00:02, 14.92it/s]
4
  37%|███▋ | 22/60 [00:01<00:01, 20.74it/s]
5
  47%|████▋ | 28/60 [00:01<00:01, 26.91it/s]
6
  57%|█████▋ | 34/60 [00:01<00:00, 32.03it/s]
7
  67%|██████▋ | 40/60 [00:02<00:00, 34.78it/s]
8
  77%|███████▋ | 46/60 [00:02<00:00, 39.89it/s]
9
  87%|████████▋ | 52/60 [00:02<00:00, 41.99it/s]
10
  98%|█████████▊| 59/60 [00:02<00:00, 47.60it/s]
11
 
 
 
 
 
1
+
2
  0%| | 0/60 [00:00<?, ?it/s]
3
  2%|▏ | 1/60 [00:01<01:21, 1.38s/it]
4
  17%|█▋ | 10/60 [00:01<00:05, 9.10it/s]
5
  27%|██▋ | 16/60 [00:01<00:02, 14.92it/s]
6
  37%|███▋ | 22/60 [00:01<00:01, 20.74it/s]
7
  47%|████▋ | 28/60 [00:01<00:01, 26.91it/s]
8
  57%|█████▋ | 34/60 [00:01<00:00, 32.03it/s]
9
  67%|██████▋ | 40/60 [00:02<00:00, 34.78it/s]
10
  77%|███████▋ | 46/60 [00:02<00:00, 39.89it/s]
11
  87%|████████▋ | 52/60 [00:02<00:00, 41.99it/s]
12
  98%|█████████▊| 59/60 [00:02<00:00, 47.60it/s]
13
 
14
+ Tail audit DF: predicted_count=7, mean_probability=0.015857, max_probability=0.669113
15
+ Tail audit INF: predicted_count=2, mean_probability=0.012049, max_probability=0.849176
16
+ Saved predictions: /marimo/single_encoder_split_submissions/singleenc_pool_nometa_clean.csv
singleenc_pool_nometa_clean.train.log ADDED
The diff for this file is too large to render. See raw diff
 
singleenc_pool_nometa_clean/confusion_analysis.json ADDED
@@ -0,0 +1,826 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "false_negatives_by_true_class": {
3
+ "AKIEC": [
4
+ {
5
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singleenc_pool_nometa_clean/per_class_metrics.csv ADDED
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+ "true": "AKIEC",
857
+ "predicted": "SCCKA",
858
+ "count": 7,
859
+ "rate_of_true": 0.11475409836065574
860
+ },
861
+ {
862
+ "true": "BCC",
863
+ "predicted": "AKIEC",
864
+ "count": 5,
865
+ "rate_of_true": 0.00992063492063492
866
+ },
867
+ {
868
+ "true": "INF",
869
+ "predicted": "BCC",
870
+ "count": 5,
871
+ "rate_of_true": 0.5
872
+ },
873
+ {
874
+ "true": "SCCKA",
875
+ "predicted": "AKIEC",
876
+ "count": 3,
877
+ "rate_of_true": 0.031578947368421054
878
+ },
879
+ {
880
+ "true": "INF",
881
+ "predicted": "NV",
882
+ "count": 1,
883
+ "rate_of_true": 0.1
884
+ }
885
+ ]
886
+ }
887
+ }
singleenc_pool_nometa_clean/run_report.md ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # MILK10k Run Report
2
+
3
+ ## Config Summary
4
+
5
+ - fold: None
6
+ - output_dir: /marimo/single_encoder_split_runs/singleenc_pool_nometa_clean
7
+ - backbone: efficientnet_b2
8
+ - metadata_fusion: concat
9
+ - image_fusion: shared_encoder_pool
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: 0.6736641221374046
28
+ - balanced_accuracy: 0.3794547908899595
29
+ - dice_macro: 0.3958818744094628
30
+ - f1_macro: 0.3958818744094628
31
+ - roc_auc_macro_ovr: 0.8654417583052901
32
+ - top2_accuracy: 0.8234732824427481
33
+ - top3_accuracy: 0.9112595419847328
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 | 0.5 | 0.262295 | 0.983789 | 0.344086 | 0.910808 | 0.684883 |
84
+ | BCC | 504 | 0.786096 | 0.875 | 0.779412 | 0.828169 | 0.912669 | 0.880699 |
85
+ | BEN_OTH | 9 | 1 | 0.111111 | 1 | 0.2 | 0.857876 | 0.808157 |
86
+ | BKL | 109 | 0.415584 | 0.293578 | 0.952077 | 0.344086 | 0.788893 | 0.70871 |
87
+ | DF | 10 | 0.111111 | 0.1 | 0.992293 | 0.105263 | 0.855588 | 0.462921 |
88
+ | INF | 10 | 0.25 | 0.1 | 0.99711 | 0.142857 | 0.862524 | 0.321197 |
89
+ | MAL_OTH | 2 | 0 | 0 | 1 | 0 | 0.696463 | |
90
+ | MEL | 90 | 0.513514 | 0.422222 | 0.962422 | 0.463415 | 0.861355 | 0.767756 |
91
+ | NV | 149 | 0.615789 | 0.785235 | 0.918799 | 0.690265 | 0.94489 | 0.880288 |
92
+ | SCCKA | 95 | 0.582418 | 0.557895 | 0.960126 | 0.569892 | 0.919158 | 0.829929 |
93
+ | VASC | 9 | 0.666667 | 0.666667 | 0.997113 | 0.666667 | 0.909635 | 0.868661 |
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 | 0.696463 | |
100
+ | DF | 10 | 0.111111 | 0.1 | 0.992293 | 0.105263 | 0.855588 | 0.462921 |
101
+ | INF | 10 | 0.25 | 0.1 | 0.99711 | 0.142857 | 0.862524 | 0.321197 |
102
+ | BEN_OTH | 9 | 1 | 0.111111 | 1 | 0.2 | 0.857876 | 0.808157 |
103
+ | AKIEC | 61 | 0.5 | 0.262295 | 0.983789 | 0.344086 | 0.910808 | 0.684883 |
104
+
105
+ ## Prediction Distribution
106
+
107
+ | class | pred_count | mean_prob |
108
+ |---|---:|---:|
109
+ | AKIEC | 32 | 0.0417 |
110
+ | BCC | 561 | 0.4866 |
111
+ | BEN_OTH | 1 | 0.0077 |
112
+ | BKL | 77 | 0.0911 |
113
+ | DF | 9 | 0.0122 |
114
+ | INF | 4 | 0.0098 |
115
+ | MAL_OTH | 0 | 0.0006 |
116
+ | MEL | 74 | 0.0768 |
117
+ | NV | 190 | 0.1770 |
118
+ | SCCKA | 91 | 0.0871 |
119
+ | VASC | 9 | 0.0094 |
120
+
121
+ - mean_confidence: 0.7948505878448486
122
+ - median_confidence: 0.8715876936912537
123
+ - mean_top1_top2_gap: 0.6747757196426392
124
+ - mean_entropy: 0.6077224016189575
125
+ - low_confidence_rows: 129
126
+
127
+ ## Top Confusion Pairs
128
+
129
+ | true | predicted | count | rate_of_true |
130
+ |---|---|---:|---:|
131
+ | BKL | BCC | 38 | 0.349 |
132
+ | MEL | NV | 36 | 0.400 |
133
+ | SCCKA | BCC | 30 | 0.316 |
134
+ | AKIEC | BCC | 23 | 0.377 |
135
+ | BCC | SCCKA | 21 | 0.042 |
136
+ | BCC | NV | 16 | 0.032 |
137
+ | NV | MEL | 16 | 0.107 |
138
+ | AKIEC | BKL | 13 | 0.213 |
139
+ | BCC | BKL | 12 | 0.024 |
140
+ | BKL | MEL | 12 | 0.110 |
141
+ | BKL | NV | 12 | 0.110 |
142
+ | MEL | BCC | 9 | 0.100 |
143
+
144
+ ## Watched Confusion Patterns
145
+
146
+ | true | predicted | count | rate_of_true |
147
+ |---|---|---:|---:|
148
+ | BCC | SCCKA | 21 | 0.042 |
149
+ | BCC | BKL | 12 | 0.024 |
150
+ | BKL | SCCKA | 8 | 0.073 |
151
+ | SCCKA | BKL | 8 | 0.084 |
152
+ | AKIEC | SCCKA | 7 | 0.115 |
153
+ | BCC | AKIEC | 5 | 0.010 |
154
+ | INF | BCC | 5 | 0.500 |
155
+ | SCCKA | AKIEC | 3 | 0.032 |
156
+ | INF | NV | 1 | 0.100 |
157
+
158
+ ## Warnings
159
+
160
+ - [medium] tiny_validation_support: MAL_OTH validation support is only 2.
singleenc_pool_nometa_clean/split_summary.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Split Summary
2
+
3
+ ## Full
4
+
5
+ - rows: 5240
6
+ - real_rows: 5240
7
+ - synthetic_rows: 0
8
+ - ignore_metadata_rows: 0
9
+
10
+ | class | count | synthetic |
11
+ |---|---:|---:|
12
+ | AKIEC | 303 | 0 |
13
+ | BCC | 2522 | 0 |
14
+ | BEN_OTH | 44 | 0 |
15
+ | BKL | 544 | 0 |
16
+ | DF | 52 | 0 |
17
+ | INF | 50 | 0 |
18
+ | MAL_OTH | 9 | 0 |
19
+ | MEL | 450 | 0 |
20
+ | NV | 746 | 0 |
21
+ | SCCKA | 473 | 0 |
22
+ | VASC | 47 | 0 |
23
+
24
+ ## Train
25
+
26
+ - rows: 4192
27
+ - real_rows: 4192
28
+ - synthetic_rows: 0
29
+ - ignore_metadata_rows: 0
30
+
31
+ | class | count | synthetic |
32
+ |---|---:|---:|
33
+ | AKIEC | 242 | 0 |
34
+ | BCC | 2018 | 0 |
35
+ | BEN_OTH | 35 | 0 |
36
+ | BKL | 435 | 0 |
37
+ | DF | 42 | 0 |
38
+ | INF | 40 | 0 |
39
+ | MAL_OTH | 7 | 0 |
40
+ | MEL | 360 | 0 |
41
+ | NV | 597 | 0 |
42
+ | SCCKA | 378 | 0 |
43
+ | VASC | 38 | 0 |
44
+
45
+ ## Val
46
+
47
+ - rows: 1048
48
+ - real_rows: 1048
49
+ - synthetic_rows: 0
50
+ - ignore_metadata_rows: 0
51
+
52
+ | class | count | synthetic |
53
+ |---|---:|---:|
54
+ | AKIEC | 61 | 0 |
55
+ | BCC | 504 | 0 |
56
+ | BEN_OTH | 9 | 0 |
57
+ | BKL | 109 | 0 |
58
+ | DF | 10 | 0 |
59
+ | INF | 10 | 0 |
60
+ | MAL_OTH | 2 | 0 |
61
+ | MEL | 90 | 0 |
62
+ | NV | 149 | 0 |
63
+ | SCCKA | 95 | 0 |
64
+ | VASC | 9 | 0 |
65
+
66
+ - synthetic_train_only: False
singleenc_pool_nometa_clean/splits/train.csv ADDED
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singleenc_pool_nometa_clean/splits/val.csv ADDED
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singleenc_pool_nometa_clean/val_predictions.csv ADDED
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