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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_matrix.csv +12 -0
  4. singleenc_canvas_meta_sampler05/confusion_matrix_raw.csv +12 -0
  5. singleenc_canvas_meta_sampler05/data_summary.json +102 -0
  6. singleenc_canvas_meta_sampler05/history.csv +0 -0
  7. singleenc_canvas_meta_sampler05/metrics.json +719 -0
  8. singleenc_canvas_meta_sampler05/per_class_metrics.csv +12 -0
  9. singleenc_canvas_meta_sampler05/per_class_metrics_raw.csv +12 -0
  10. singleenc_canvas_meta_sampler05/prediction_summary.json +50 -0
  11. singleenc_canvas_meta_sampler05/raw/val_predictions.csv +0 -0
  12. singleenc_canvas_meta_sampler05/run_config.json +206 -0
  13. singleenc_canvas_meta_sampler05/split_summary.md +66 -0
  14. singleenc_canvas_meta_sampler05/splits/train.csv +0 -0
  15. singleenc_canvas_meta_sampler05/splits/val.csv +0 -0
  16. singleenc_pool_meta_sampler05.predict.log +4 -0
  17. singleenc_pool_meta_sampler05.train.log +0 -0
  18. singleenc_pool_meta_sampler05/confusion_analysis.json +747 -0
  19. singleenc_pool_meta_sampler05/confusion_matrix.csv +12 -0
  20. singleenc_pool_meta_sampler05/confusion_matrix_raw.csv +12 -0
  21. singleenc_pool_meta_sampler05/history.csv +0 -0
  22. singleenc_pool_meta_sampler05/metrics.json +719 -0
  23. singleenc_pool_meta_sampler05/per_class_metrics.csv +12 -0
  24. singleenc_pool_meta_sampler05/per_class_metrics_raw.csv +12 -0
  25. singleenc_pool_meta_sampler05/prediction_summary.json +50 -0
  26. singleenc_pool_meta_sampler05/raw/val_predictions.csv +0 -0
  27. singleenc_pool_meta_sampler05/run_diagnostics.json +814 -0
  28. singleenc_pool_meta_sampler05/run_report.md +160 -0
  29. singleenc_pool_meta_sampler05/splits/train.csv +0 -0
  30. singleenc_pool_meta_sampler05/splits/val.csv +0 -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 +742 -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 +16 -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 +803 -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=4, mean_probability=0.012927, max_probability=0.993772
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+ Tail audit INF: predicted_count=7, mean_probability=0.016148, max_probability=0.827939
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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/per_class_metrics.csv ADDED
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singleenc_canvas_meta_sampler05/per_class_metrics_raw.csv ADDED
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singleenc_canvas_meta_sampler05/prediction_summary.json ADDED
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+ {
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singleenc_canvas_meta_sampler05/raw/val_predictions.csv ADDED
The diff for this file is too large to render. See raw diff
 
singleenc_canvas_meta_sampler05/run_config.json ADDED
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1
+ {
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+ "args": {
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+ "data_dir": "/marimo/milk10k",
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+ "dermoscopic_mask_dir": null,
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+ "min_dermoscopic_mask_ratio": 0.01,
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+ "clinical_checkpoint": null,
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+ "dermoscopic_checkpoint": null,
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+ "resume_checkpoint": null,
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+ "output_dir": "/marimo/single_encoder_split_runs/singleenc_canvas_meta_sampler05",
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+ "freeze_epochs": 0,
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+ "backbone": "efficientnet_b2",
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+ "num_workers": 4,
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+ "head_lr": 0.0001,
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+ "encoder_lr": 1e-05,
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+ "metadata_lr": null,
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+ "metadata_fusion": "concat",
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+ "image_fusion": "single_encoder_canvas",
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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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+ "augmented_classes": [],
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+ "zero_augmented_metadata": false,
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+ "seed": 42,
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+ "branch_dim": 512,
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+ "metadata_dim": 64,
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+ "classifier_hidden_dim": 512,
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+ "classifier_style": "simple",
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+ "dropout": 0.3,
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+ "logit_fusion_mode": "single",
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+ "fusion_logit_weight": 0.6,
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+ "clinical_logit_weight": 0.2,
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+ "dermoscopic_logit_weight": 0.2,
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+ "class_weight": false,
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+ "sampler_power": 0.5,
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+ "balance_mode": "none",
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+ "balance_head_ratio": 2.0,
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+ "balance_tail_floor": 100,
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+ "balance_min_source_count": 20,
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+ "loss": "ce",
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+ "focal_gamma": 2.0,
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+ "dice_weight": 0.3,
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+ "f1_weight": 0.3,
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+ "f1_ignore_classes": [],
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+ "f1_class_weight": [],
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+ "ldam_beta": 0.9999,
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+ "ldam_max_margin": 0.5,
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+ "ldam_drw_start_epoch": 0,
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+ "ldam_alpha_max": 10.0,
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+ "tail_num_classes": 4,
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+ "k_folds": 1,
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+ "amp": true,
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+ "backbone_backend": "auto",
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+ "imagenet_pretrained": true,
63
+ "selection_metric": "f1_macro",
64
+ "calibrate_bias": false,
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+ "calibration_metric": "dice_macro",
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+ "calibration_max_bias": 1.5,
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+ "calibration_step": 0.25,
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+ "calibration_passes": 3,
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+ "patience": 6,
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+ "tau": 0.0,
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+ "lws_epochs": 0,
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+ "lws_lr": 0.01,
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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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+ "ema_decay": 0.999,
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+ "fit_temperature": false
79
+ },
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+ "environment": {
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+ "timestamp_utc": "2026-06-23T01:28:44.658975+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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+ "0",
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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",
107
+ "--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",
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+ "42",
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+ "--amp",
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+ "--output-dir",
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+ "/marimo/single_encoder_split_runs/singleenc_canvas_meta_sampler05",
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+ "--image-fusion",
119
+ "single_encoder_canvas",
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+ "--weighted-sampler",
121
+ "--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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+ "version": "2.12.0+cu130",
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+ "cuda_available": true,
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+ "cuda_device_count": 1,
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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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+ },
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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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+ "BCC": 1,
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+ "BEN_OTH": 2,
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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"
178
+ ],
179
+ "monet_columns": [
180
+ "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
+ ]
188
+ },
189
+ "model_type": "DualEffB2MetadataClassifier",
190
+ "train_size": 4192,
191
+ "val_size": 1048,
192
+ "fold": null,
193
+ "metadata_fusion": "concat",
194
+ "image_fusion": "single_encoder_canvas",
195
+ "clinical_backbone": "timm efficientnet_b2",
196
+ "dermoscopic_backbone": "timm efficientnet_b2",
197
+ "paths": {
198
+ "output_dir": "/marimo/single_encoder_split_runs/singleenc_canvas_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_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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14
+ Tail audit DF: predicted_count=2, mean_probability=0.005727, max_probability=0.959800
15
+ Tail audit INF: predicted_count=4, mean_probability=0.006766, max_probability=0.956292
16
+ Saved predictions: /marimo/single_encoder_split_submissions/singleenc_pool_meta_sampler05.csv
singleenc_pool_meta_sampler05.train.log ADDED
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singleenc_pool_meta_sampler05/confusion_analysis.json ADDED
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561
+ }
562
+ ],
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+ "NV": [
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+ {
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+ "predicted": "NV",
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+ "true": "MEL",
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+ "count": 25,
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+ "rate_of_predicted": 0.16666666666666666
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+ },
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+ {
571
+ "predicted": "NV",
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+ "true": "BKL",
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+ "count": 6,
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+ "rate_of_predicted": 0.04
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+ },
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+ {
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+ "predicted": "NV",
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+ "true": "BCC",
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+ "count": 2,
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+ "rate_of_predicted": 0.013333333333333334
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+ },
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+ {
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+ "predicted": "NV",
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+ {
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+ "count": 2,
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+ "rate_of_predicted": 0.013333333333333334
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+ {
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+ "predicted": "NV",
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+ "true": "BEN_OTH",
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+ "count": 1,
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+ "rate_of_predicted": 0.006666666666666667
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+ }
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+ ],
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+ "SCCKA": [
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+ {
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+ "predicted": "SCCKA",
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+ "true": "BCC",
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+ "count": 32,
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+ "rate_of_predicted": 0.29357798165137616
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+ },
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+ {
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+ "predicted": "SCCKA",
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+ "true": "AKIEC",
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+ "count": 10,
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+ "rate_of_predicted": 0.09174311926605505
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+ },
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+ {
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+ "predicted": "SCCKA",
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+ "true": "BKL",
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+ "count": 8,
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+ "rate_of_predicted": 0.07339449541284404
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+ },
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+ {
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+ "predicted": "SCCKA",
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+ "true": "DF",
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+ "count": 1,
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+ "rate_of_predicted": 0.009174311926605505
625
+ },
626
+ {
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+ "predicted": "SCCKA",
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+ "true": "MAL_OTH",
629
+ "count": 1,
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+ "rate_of_predicted": 0.009174311926605505
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+ },
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+ {
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+ "predicted": "SCCKA",
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+ "true": "MEL",
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+ "count": 1,
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+ "rate_of_predicted": 0.009174311926605505
637
+ }
638
+ ],
639
+ "VASC": []
640
+ },
641
+ "top_confusion_pairs": [
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+ {
643
+ "true": "BCC",
644
+ "predicted": "SCCKA",
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+ "count": 32,
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+ "rate_of_true": 0.06349206349206349
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+ },
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+ {
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+ "true": "BKL",
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+ "predicted": "BCC",
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+ "count": 29,
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+ "rate_of_true": 0.26605504587155965
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+ },
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+ {
655
+ "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": "NV",
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+ "predicted": "MEL",
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+ "count": 24,
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+ "rate_of_true": 0.1610738255033557
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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": 22,
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+ "rate_of_true": 0.04365079365079365
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+ },
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+ {
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+ "true": "SCCKA",
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+ "predicted": "BCC",
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+ "count": 17,
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+ "rate_of_true": 0.17894736842105263
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+ },
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+ {
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+ "true": "BKL",
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+ "predicted": "AKIEC",
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+ "count": 14,
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+ "rate_of_true": 0.12844036697247707
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+ },
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+ {
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+ "true": "MEL",
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+ "predicted": "BCC",
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+ "count": 12,
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+ "rate_of_true": 0.13333333333333333
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+ },
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+ {
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+ "true": "SCCKA",
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+ "predicted": "BKL",
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+ "count": 12,
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+ "rate_of_true": 0.12631578947368421
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+ },
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+ {
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+ "true": "BCC",
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+ "predicted": "BKL",
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+ "count": 11,
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+ "rate_of_true": 0.021825396825396824
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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": 10,
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+ "rate_of_true": 0.16393442622950818
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+ },
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+ {
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+ "true": "SCCKA",
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+ "predicted": "AKIEC",
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+ "count": 10,
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+ "rate_of_true": 0.10526315789473684
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+ },
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+ {
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+ "true": "BKL",
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+ "predicted": "MEL",
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+ "count": 9,
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+ "rate_of_true": 0.08256880733944955
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+ },
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+ {
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+ "true": "MEL",
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+ "predicted": "BKL",
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+ "count": 9,
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+ "rate_of_true": 0.1
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+ },
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+ {
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+ "true": "AKIEC",
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+ "predicted": "BKL",
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+ "count": 8,
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+ "rate_of_true": 0.13114754098360656
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+ },
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+ {
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+ "true": "BKL",
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+ "predicted": "SCCKA",
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+ "count": 8,
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+ "rate_of_true": 0.07339449541284404
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+ },
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+ {
739
+ "true": "INF",
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+ "predicted": "BCC",
741
+ "count": 7,
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+ "rate_of_true": 0.7
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+ },
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+ {
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+ "true": "AKIEC",
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+ "predicted": "BCC",
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+ "count": 6,
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+ "rate_of_true": 0.09836065573770492
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+ },
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+ {
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+ "true": "BKL",
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+ "predicted": "NV",
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+ "count": 6,
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+ "rate_of_true": 0.05504587155963303
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+ },
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+ {
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+ "true": "NV",
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+ "predicted": "BCC",
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+ "count": 6,
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+ "rate_of_true": 0.040268456375838924
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+ }
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+ ],
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+ "watched_confusion_patterns": [
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+ {
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+ "true": "BCC",
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+ "predicted": "SCCKA",
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+ "count": 32,
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+ "rate_of_true": 0.06349206349206349
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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": 22,
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+ "rate_of_true": 0.04365079365079365
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+ },
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+ {
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+ "true": "SCCKA",
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+ "predicted": "BKL",
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+ "count": 12,
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+ "rate_of_true": 0.12631578947368421
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+ },
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+ {
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+ "true": "BCC",
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+ "predicted": "BKL",
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+ "count": 11,
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+ "rate_of_true": 0.021825396825396824
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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": 10,
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+ "rate_of_true": 0.16393442622950818
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+ },
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+ {
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+ "true": "SCCKA",
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+ "predicted": "AKIEC",
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+ "count": 10,
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+ "rate_of_true": 0.10526315789473684
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+ },
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+ {
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+ "true": "BKL",
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+ "predicted": "SCCKA",
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+ "count": 8,
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+ "rate_of_true": 0.07339449541284404
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+ },
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+ {
807
+ "true": "INF",
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+ "predicted": "BCC",
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+ "count": 7,
810
+ "rate_of_true": 0.7
811
+ }
812
+ ]
813
+ }
814
+ }
singleenc_pool_meta_sampler05/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_meta_sampler05
7
+ - backbone: efficientnet_b2
8
+ - metadata_fusion: concat
9
+ - image_fusion: shared_encoder_pool
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: 0.7013358778625954
28
+ - balanced_accuracy: 0.456562920678067
29
+ - dice_macro: 0.4898087377057165
30
+ - f1_macro: 0.4898087377057165
31
+ - roc_auc_macro_ovr: 0.8960721407863715
32
+ - top2_accuracy: 0.8778625954198473
33
+ - top3_accuracy: 0.9341603053435115
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 | 0.423529 | 0.590164 | 0.950355 | 0.493151 | 0.92358 | 0.824212 |
84
+ | BCC | 504 | 0.841085 | 0.861111 | 0.849265 | 0.85098 | 0.926358 | 0.913965 |
85
+ | BEN_OTH | 9 | 0.25 | 0.111111 | 0.997113 | 0.153846 | 0.905785 | 0.834692 |
86
+ | BKL | 109 | 0.47191 | 0.385321 | 0.949947 | 0.424242 | 0.795488 | 0.832611 |
87
+ | DF | 10 | 1 | 0.4 | 1 | 0.571429 | 0.985742 | 0.683109 |
88
+ | INF | 10 | 0.666667 | 0.2 | 0.999037 | 0.307692 | 0.921869 | 0.806394 |
89
+ | MAL_OTH | 2 | 0 | 0 | 1 | 0 | 0.620459 | |
90
+ | MEL | 90 | 0.512195 | 0.466667 | 0.958246 | 0.488372 | 0.904384 | 0.888874 |
91
+ | NV | 149 | 0.746667 | 0.751678 | 0.957731 | 0.749164 | 0.963935 | 0.930399 |
92
+ | SCCKA | 95 | 0.513761 | 0.589474 | 0.944386 | 0.54902 | 0.926625 | 0.898608 |
93
+ | VASC | 9 | 1 | 0.666667 | 1 | 0.8 | 0.982569 | 0.83998 |
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 | 0.620459 | |
100
+ | BEN_OTH | 9 | 0.25 | 0.111111 | 0.997113 | 0.153846 | 0.905785 | 0.834692 |
101
+ | INF | 10 | 0.666667 | 0.2 | 0.999037 | 0.307692 | 0.921869 | 0.806394 |
102
+ | BKL | 109 | 0.47191 | 0.385321 | 0.949947 | 0.424242 | 0.795488 | 0.832611 |
103
+ | MEL | 90 | 0.512195 | 0.466667 | 0.958246 | 0.488372 | 0.904384 | 0.888874 |
104
+
105
+ ## Prediction Distribution
106
+
107
+ | class | pred_count | mean_prob |
108
+ |---|---:|---:|
109
+ | AKIEC | 85 | 0.0807 |
110
+ | BCC | 516 | 0.4676 |
111
+ | BEN_OTH | 4 | 0.0053 |
112
+ | BKL | 89 | 0.1016 |
113
+ | DF | 4 | 0.0039 |
114
+ | INF | 3 | 0.0037 |
115
+ | MAL_OTH | 0 | 0.0004 |
116
+ | MEL | 82 | 0.0777 |
117
+ | NV | 150 | 0.1417 |
118
+ | SCCKA | 109 | 0.1112 |
119
+ | VASC | 6 | 0.0063 |
120
+
121
+ - mean_confidence: 0.8618848323822021
122
+ - median_confidence: 0.9437005519866943
123
+ - mean_top1_top2_gap: 0.7573769092559814
124
+ - mean_entropy: 0.3766627907752991
125
+ - low_confidence_rows: 37
126
+
127
+ ## Top Confusion Pairs
128
+
129
+ | true | predicted | count | rate_of_true |
130
+ |---|---|---:|---:|
131
+ | BCC | SCCKA | 32 | 0.063 |
132
+ | BKL | BCC | 29 | 0.266 |
133
+ | MEL | NV | 25 | 0.278 |
134
+ | NV | MEL | 24 | 0.161 |
135
+ | BCC | AKIEC | 22 | 0.044 |
136
+ | SCCKA | BCC | 17 | 0.179 |
137
+ | BKL | AKIEC | 14 | 0.128 |
138
+ | MEL | BCC | 12 | 0.133 |
139
+ | SCCKA | BKL | 12 | 0.126 |
140
+ | BCC | BKL | 11 | 0.022 |
141
+ | AKIEC | SCCKA | 10 | 0.164 |
142
+ | SCCKA | AKIEC | 10 | 0.105 |
143
+
144
+ ## Watched Confusion Patterns
145
+
146
+ | true | predicted | count | rate_of_true |
147
+ |---|---|---:|---:|
148
+ | BCC | SCCKA | 32 | 0.063 |
149
+ | BCC | AKIEC | 22 | 0.044 |
150
+ | SCCKA | BKL | 12 | 0.126 |
151
+ | BCC | BKL | 11 | 0.022 |
152
+ | AKIEC | SCCKA | 10 | 0.164 |
153
+ | SCCKA | AKIEC | 10 | 0.105 |
154
+ | BKL | SCCKA | 8 | 0.073 |
155
+ | INF | BCC | 7 | 0.700 |
156
+
157
+ ## Warnings
158
+
159
+ - [high] bcc_boundary_drift: BCC -> AKIEC/BKL/SCCKA count is 65.
160
+ - [medium] tiny_validation_support: MAL_OTH validation support is only 2.
singleenc_pool_meta_sampler05/splits/train.csv ADDED
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singleenc_pool_meta_sampler05/splits/val.csv ADDED
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singleenc_pool_meta_sampler05/val_predictions.csv ADDED
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11
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12
 
13
+ Tail audit DF: predicted_count=3, mean_probability=0.008056, max_probability=0.468147
14
+ Tail audit INF: predicted_count=1, mean_probability=0.012010, max_probability=0.257818
15
+ Saved predictions: /marimo/single_encoder_split_submissions/singleenc_pool_nometa_clean.csv
singleenc_pool_nometa_clean.train.log ADDED
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singleenc_pool_nometa_clean/confusion_analysis.json ADDED
@@ -0,0 +1,742 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "false_negatives_by_true_class": {
3
+ "AKIEC": [
4
+ {
5
+ "true": "AKIEC",
6
+ "predicted": "BCC",
7
+ "count": 25,
8
+ "rate_of_true": 0.4098360655737705
9
+ },
10
+ {
11
+ "true": "AKIEC",
12
+ "predicted": "BKL",
13
+ "count": 16,
14
+ "rate_of_true": 0.26229508196721313
15
+ },
16
+ {
17
+ "true": "AKIEC",
18
+ "predicted": "SCCKA",
19
+ "count": 7,
20
+ "rate_of_true": 0.11475409836065574
21
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740
+ }
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+ ]
742
+ }
singleenc_pool_nometa_clean/confusion_matrix.csv ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,AKIEC,BCC,BEN_OTH,BKL,DF,INF,MAL_OTH,MEL,NV,SCCKA,VASC
2
+ AKIEC,12,25,0,16,0,0,0,1,0,7,0
3
+ BCC,2,468,0,8,1,0,0,2,6,17,0
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+ BEN_OTH,0,2,1,4,0,0,0,0,2,0,0
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+ BKL,4,42,0,49,0,0,0,4,5,5,0
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+ DF,0,3,0,0,1,0,0,1,4,0,1
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+ INF,1,6,0,0,1,0,0,0,2,0,0
8
+ MAL_OTH,0,1,0,0,0,0,0,0,0,1,0
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+ MEL,0,10,0,17,0,1,0,32,29,1,0
10
+ NV,0,6,0,19,0,0,0,17,106,0,1
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+ SCCKA,3,31,0,10,0,1,0,0,0,50,0
12
+ VASC,0,2,0,1,0,0,0,0,0,0,6
singleenc_pool_nometa_clean/confusion_matrix_raw.csv ADDED
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1
+ ,AKIEC,BCC,BEN_OTH,BKL,DF,INF,MAL_OTH,MEL,NV,SCCKA,VASC
2
+ AKIEC,12,25,0,16,0,0,0,1,0,7,0
3
+ BCC,2,468,0,8,1,0,0,2,6,17,0
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+ BEN_OTH,0,2,1,4,0,0,0,0,2,0,0
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+ BKL,4,42,0,49,0,0,0,4,5,5,0
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+ DF,0,3,0,0,1,0,0,1,4,0,1
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+ INF,1,6,0,0,1,0,0,0,2,0,0
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+ MAL_OTH,0,1,0,0,0,0,0,0,0,1,0
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+ MEL,0,10,0,17,0,1,0,32,29,1,0
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+ NV,0,6,0,19,0,0,0,17,106,0,1
11
+ SCCKA,3,31,0,10,0,1,0,0,0,50,0
12
+ VASC,0,2,0,1,0,0,0,0,0,0,6
singleenc_pool_nometa_clean/data_summary.json ADDED
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1
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singleenc_pool_nometa_clean/history.csv ADDED
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1
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phase,epoch,train_loss,train_accuracy,train_balanced_accuracy,train_f1_macro,train_top3_accuracy,train_dice_macro,train_support_AKIEC,train_precision_AKIEC,train_recall_AKIEC,train_f1_AKIEC,train_correct_AKIEC,train_conf_AKIEC_to_BCC_count,train_conf_AKIEC_to_BCC_rate,train_conf_AKIEC_to_BKL_count,train_conf_AKIEC_to_BKL_rate,train_conf_AKIEC_to_MAL_OTH_count,train_conf_AKIEC_to_MAL_OTH_rate,train_conf_AKIEC_to_MEL_count,train_conf_AKIEC_to_MEL_rate,train_conf_AKIEC_to_NV_count,train_conf_AKIEC_to_NV_rate,train_conf_AKIEC_to_SCCKA_count,train_conf_AKIEC_to_SCCKA_rate,train_support_BCC,train_precision_BCC,train_recall_BCC,train_f1_BCC,train_correct_BCC,train_conf_BCC_to_AKIEC_count,train_conf_BCC_to_AKIEC_rate,train_conf_BCC_to_BEN_OTH_count,train_conf_BCC_to_BEN_OTH_rate,train_conf_BCC_to_BKL_count,train_conf_BCC_to_BKL_rate,train_conf_BCC_to_INF_count,train_conf_BCC_to_INF_rate,train_conf_BCC_to_MAL_OTH_count,train_conf_BCC_to_MAL_OTH_rate,train_conf_BCC_to_MEL_count,train_conf_BCC_to_MEL_rate,train_conf_BCC_to_NV_count,train_conf_BCC_to_NV_rate,train_conf_BCC_to_SCCKA_count,train_conf_BCC_to_SCCKA_rate,train_conf_BCC_to_VASC_count,train_conf_BCC_to_VASC_rate,train_support_BEN_OTH,train_precision_BEN_OTH,train_recall_BEN_OTH,train_f1_BEN_OTH,train_correct_BEN_OTH,train_conf_BEN_OTH_to_BCC_count,train_conf_BEN_OTH_to_BCC_rate,train_conf_BEN_OTH_to_BKL_count,train_conf_BEN_OTH_to_BKL_rate,train_conf_BEN_OTH_to_MEL_count,train_conf_BEN_OTH_to_MEL_rate,train_conf_BEN_OTH_to_NV_count,train_conf_BEN_OTH_to_NV_rate,train_conf_BEN_OTH_to_SCCKA_count,train_conf_BEN_OTH_to_SCCKA_rate,train_support_BKL,train_precision_BKL,train_recall_BKL,train_f1_BKL,train_correct_BKL,train_conf_BKL_to_AKIEC_count,train_conf_BKL_to_AKIEC_rate,train_conf_BKL_to_BCC_count,train_conf_BKL_to_BCC_rate,train_conf_BKL_to_MEL_count,train_conf_BKL_to_MEL_rate,train_conf_BKL_to_NV_count,train_conf_BKL_to_NV_rate,train_conf_BKL_to_SCCKA_count,train_conf_BKL_to_SCCKA_rate,train_conf_BKL_to_VASC_count,train_conf_BKL_to_VASC_rate,train_support_DF,train_precision_DF,train_recall_DF,train_f1_DF,train_correct_DF,train_conf_DF_to_BCC_count,train_conf_DF_to_BCC_rate,train_conf_DF_to_BKL_count,train_conf_DF_to_BKL_rate,train_conf_DF_to_MEL_count,train_conf_DF_to_MEL_rate,train_conf_DF_to_NV_count,train_conf_DF_to_NV_rate,train_support_INF,train_precision_INF,train_recall_INF,train_f1_INF,train_correct_INF,train_conf_INF_to_BCC_count,train_conf_INF_to_BCC_rate,train_conf_INF_to_BKL_count,train_conf_INF_to_BKL_rate,train_conf_INF_to_NV_count,train_conf_INF_to_NV_rate,train_conf_INF_to_SCCKA_count,train_conf_INF_to_SCCKA_rate,train_support_MAL_OTH,train_precision_MAL_OTH,train_recall_MAL_OTH,train_f1_MAL_OTH,train_correct_MAL_OTH,train_conf_MAL_OTH_to_BCC_count,train_conf_MAL_OTH_to_BCC_rate,train_support_MEL,train_precision_MEL,train_recall_MEL,train_f1_MEL,train_correct_MEL,train_conf_MEL_to_BCC_count,train_conf_MEL_to_BCC_rate,train_conf_MEL_to_BEN_OTH_count,train_conf_MEL_to_BEN_OTH_rate,train_conf_MEL_to_BKL_count,train_conf_MEL_to_BKL_rate,train_conf_MEL_to_NV_count,train_conf_MEL_to_NV_rate,train_conf_MEL_to_SCCKA_count,train_conf_MEL_to_SCCKA_rate,train_conf_MEL_to_VASC_count,train_conf_MEL_to_VASC_rate,train_support_NV,train_precision_NV,train_recall_NV,train_f1_NV,train_correct_NV,train_conf_NV_to_AKIEC_count,train_conf_NV_to_AKIEC_rate,train_conf_NV_to_BCC_count,train_conf_NV_to_BCC_rate,train_conf_NV_to_BKL_count,train_conf_NV_to_BKL_rate,train_conf_NV_to_INF_count,train_conf_NV_to_INF_rate,train_conf_NV_to_MEL_count,train_conf_NV_to_MEL_rate,train_conf_NV_to_SCCKA_count,train_conf_NV_to_SCCKA_rate,train_conf_NV_to_VASC_count,train_conf_NV_to_VASC_rate,train_support_SCCKA,train_precision_SCCKA,train_recall_SCCKA,train_f1_SCCKA,train_correct_SCCKA,train_conf_SCCKA_to_AKIEC_count,train_conf_SCCKA_to_AKIEC_rate,train_conf_SCCKA_to_BCC_count,train_conf_SCCKA_to_BCC_rate,train_conf_SCCKA_to_BEN_OTH_count,train_conf_SCCKA_to_BEN_OTH_rate,train_conf_SCCKA_to_BKL_count,train_conf_SCCKA_to_BKL_rate,train_conf_SCCKA_to_DF_count,train_conf_SCCKA_to_DF_rate,train_conf_SCCKA_to_MEL_count,train_conf_SCCKA_to_MEL_rate,train_conf_SCCKA_to_NV_count,train_conf_SCCKA_to_NV_rate,train_support_VASC,train_precision_VASC,train_recall_VASC,train_f1_VASC,train_correct_VASC,train_conf_VASC_to_BCC_count,train_conf_VASC_to_BCC_rate,train_conf_VASC_to_BKL_count,train_conf_VASC_to_BKL_rate,train_conf_VASC_to_MEL_count,train_conf_VASC_to_MEL_rate,train_conf_VASC_to_NV_count,train_conf_VASC_to_NV_rate,train_conf_VASC_to_SCCKA_count,train_conf_VASC_to_SCCKA_rate,val_loss,val_accuracy,val_balanced_accuracy,val_f1_macro,val_top3_accuracy,val_dice_macro,val_support_AKIEC,val_precision_AKIEC,val_recall_AKIEC,val_f1_AKIEC,val_correct_AKIEC,val_conf_AKIEC_to_BCC_count,val_conf_AKIEC_to_BCC_rate,val_conf_AKIEC_to_BKL_count,val_conf_AKIEC_to_BKL_rate,val_conf_AKIEC_to_SCCKA_count,val_conf_AKIEC_to_SCCKA_rate,val_support_BCC,val_precision_BCC,val_recall_BCC,val_f1_BCC,val_correct_BCC,val_conf_BCC_to_BKL_count,val_conf_BCC_to_BKL_rate,val_conf_BCC_to_NV_count,val_conf_BCC_to_NV_rate,val_conf_BCC_to_SCCKA_count,val_conf_BCC_to_SCCKA_rate,val_support_BEN_OTH,val_precision_BEN_OTH,val_recall_BEN_OTH,val_f1_BEN_OTH,val_correct_BEN_OTH,val_conf_BEN_OTH_to_BCC_count,val_conf_BEN_OTH_to_BCC_rate,val_conf_BEN_OTH_to_BKL_count,val_conf_BEN_OTH_to_BKL_rate,val_conf_BEN_OTH_to_MEL_count,val_conf_BEN_OTH_to_MEL_rate,val_conf_BEN_OTH_to_SCCKA_count,val_conf_BEN_OTH_to_SCCKA_rate,val_support_BKL,val_precision_BKL,val_recall_BKL,val_f1_BKL,val_correct_BKL,val_conf_BKL_to_BCC_count,val_conf_BKL_to_BCC_rate,val_conf_BKL_to_NV_count,val_conf_BKL_to_NV_rate,val_conf_BKL_to_SCCKA_count,val_conf_BKL_to_SCCKA_rate,val_support_DF,val_precision_DF,val_recall_DF,val_f1_DF,val_correct_DF,val_conf_DF_to_BCC_count,val_conf_DF_to_BCC_rate,val_conf_DF_to_BKL_count,val_conf_DF_to_BKL_rate,val_conf_DF_to_NV_count,val_conf_DF_to_NV_rate,val_conf_DF_to_SCCKA_count,val_conf_DF_to_SCCKA_rate,val_support_INF,val_precision_INF,val_recall_INF,val_f1_INF,val_correct_INF,val_conf_INF_to_BCC_count,val_conf_INF_to_BCC_rate,val_conf_INF_to_BKL_count,val_conf_INF_to_BKL_rate,val_conf_INF_to_SCCKA_count,val_conf_INF_to_SCCKA_rate,val_support_MAL_OTH,val_precision_MAL_OTH,val_recall_MAL_OTH,val_f1_MAL_OTH,val_correct_MAL_OTH,val_conf_MAL_OTH_to_BCC_count,val_conf_MAL_OTH_to_BCC_rate,val_conf_MAL_OTH_to_SCCKA_count,val_conf_MAL_OTH_to_SCCKA_rate,val_support_MEL,val_precision_MEL,val_recall_MEL,val_f1_MEL,val_correct_MEL,val_conf_MEL_to_BCC_count,val_conf_MEL_to_BCC_rate,val_conf_MEL_to_BKL_count,val_conf_MEL_to_BKL_rate,val_conf_MEL_to_NV_count,val_conf_MEL_to_NV_rate,val_conf_MEL_to_SCCKA_count,val_conf_MEL_to_SCCKA_rate,val_support_NV,val_precision_NV,val_recall_NV,val_f1_NV,val_correct_NV,val_conf_NV_to_BCC_count,val_conf_NV_to_BCC_rate,val_conf_NV_to_BKL_count,val_conf_NV_to_BKL_rate,val_conf_NV_to_MEL_count,val_conf_NV_to_MEL_rate,val_conf_NV_to_SCCKA_count,val_conf_NV_to_SCCKA_rate,val_support_SCCKA,val_precision_SCCKA,val_recall_SCCKA,val_f1_SCCKA,val_correct_SCCKA,val_conf_SCCKA_to_BCC_count,val_conf_SCCKA_to_BCC_rate,val_conf_SCCKA_to_BKL_count,val_conf_SCCKA_to_BKL_rate,val_support_VASC,val_precision_VASC,val_recall_VASC,val_f1_VASC,val_correct_VASC,val_conf_VASC_to_BCC_count,val_conf_VASC_to_BCC_rate,val_conf_VASC_to_BKL_count,val_conf_VASC_to_BKL_rate,val_raw_loss,val_raw_accuracy,val_raw_balanced_accuracy,val_raw_f1_macro,val_raw_top3_accuracy,val_raw_dice_macro,val_raw_support_AKIEC,val_raw_precision_AKIEC,val_raw_recall_AKIEC,val_raw_f1_AKIEC,val_raw_correct_AKIEC,val_raw_conf_AKIEC_to_BCC_count,val_raw_conf_AKIEC_to_BCC_rate,val_raw_conf_AKIEC_to_BKL_count,val_raw_conf_AKIEC_to_BKL_rate,val_raw_conf_AKIEC_to_SCCKA_count,val_raw_conf_AKIEC_to_SCCKA_rate,val_raw_support_BCC,val_raw_precision_BCC,val_raw_recall_BCC,val_raw_f1_BCC,val_raw_correct_BCC,val_raw_conf_BCC_to_BKL_count,val_raw_conf_BCC_to_BKL_rate,val_raw_conf_BCC_to_NV_count,val_raw_conf_BCC_to_NV_rate,val_raw_conf_BCC_to_SCCKA_count,val_raw_conf_BCC_to_SCCKA_rate,val_raw_support_BEN_OTH,val_raw_precision_BEN_OTH,val_raw_recall_BEN_OTH,val_raw_f1_BEN_OTH,val_raw_correct_BEN_OTH,val_raw_conf_BEN_OTH_to_BCC_count,val_raw_conf_BEN_OTH_to_BCC_rate,val_raw_conf_BEN_OTH_to_BKL_count,val_raw_conf_BEN_OTH_to_BKL_rate,val_raw_conf_BEN_OTH_to_MEL_count,val_raw_conf_BEN_OTH_to_MEL_rate,val_raw_conf_BEN_OTH_to_SCCKA_count,val_raw_conf_BEN_OTH_to_SCCKA_rate,val_raw_support_BKL,val_raw_precision_BKL,val_raw_recall_BKL,val_raw_f1_BKL,val_raw_correct_BKL,val_raw_conf_BKL_to_BCC_count,val_raw_conf_BKL_to_BCC_rate,val_raw_conf_BKL_to_NV_count,val_raw_conf_BKL_to_NV_rate,val_raw_conf_BKL_to_SCCKA_count,val_raw_conf_BKL_to_SCCKA_rate,val_raw_support_DF,val_raw_precision_DF,val_raw_recall_DF,val_raw_f1_DF,val_raw_correct_DF,val_raw_conf_DF_to_BCC_count,val_raw_conf_DF_to_BCC_rate,val_raw_conf_DF_to_BKL_count,val_raw_conf_DF_to_BKL_rate,val_raw_conf_DF_to_NV_count,val_raw_conf_DF_to_NV_rate,val_raw_conf_DF_to_SCCKA_count,val_raw_conf_DF_to_SCCKA_rate,val_raw_support_INF,val_raw_precision_INF,val_raw_recall_INF,val_raw_f1_INF,val_raw_correct_INF,val_raw_conf_INF_to_BCC_count,val_raw_conf_INF_to_BCC_rate,val_raw_conf_INF_to_BKL_count,val_raw_conf_INF_to_BKL_rate,val_raw_conf_INF_to_SCCKA_count,val_raw_conf_INF_to_SCCKA_rate,val_raw_support_MAL_OTH,val_raw_precision_MAL_OTH,val_raw_recall_MAL_OTH,val_raw_f1_MAL_OTH,val_raw_correct_MAL_OTH,val_raw_conf_MAL_OTH_to_BCC_count,val_raw_conf_MAL_OTH_to_BCC_rate,val_raw_conf_MAL_OTH_to_SCCKA_count,val_raw_conf_MAL_OTH_to_SCCKA_rate,val_raw_support_MEL,val_raw_precision_MEL,val_raw_recall_MEL,val_raw_f1_MEL,val_raw_correct_MEL,val_raw_conf_MEL_to_BCC_count,val_raw_conf_MEL_to_BCC_rate,val_raw_conf_MEL_to_BKL_count,val_raw_conf_MEL_to_BKL_rate,val_raw_conf_MEL_to_NV_count,val_raw_conf_MEL_to_NV_rate,val_raw_conf_MEL_to_SCCKA_count,val_raw_conf_MEL_to_SCCKA_rate,val_raw_support_NV,val_raw_precision_NV,val_raw_recall_NV,val_raw_f1_NV,val_raw_correct_NV,val_raw_conf_NV_to_BCC_count,val_raw_conf_NV_to_BCC_rate,val_raw_conf_NV_to_BKL_count,val_raw_conf_NV_to_BKL_rate,val_raw_conf_NV_to_MEL_count,val_raw_conf_NV_to_MEL_rate,val_raw_conf_NV_to_SCCKA_count,val_raw_conf_NV_to_SCCKA_rate,val_raw_support_SCCKA,val_raw_precision_SCCKA,val_raw_recall_SCCKA,val_raw_f1_SCCKA,val_raw_correct_SCCKA,val_raw_conf_SCCKA_to_BCC_count,val_raw_conf_SCCKA_to_BCC_rate,val_raw_conf_SCCKA_to_BKL_count,val_raw_conf_SCCKA_to_BKL_rate,val_raw_support_VASC,val_raw_precision_VASC,val_raw_recall_VASC,val_raw_f1_VASC,val_raw_correct_VASC,val_raw_conf_VASC_to_BCC_count,val_raw_conf_VASC_to_BCC_rate,val_raw_conf_VASC_to_BKL_count,val_raw_conf_VASC_to_BKL_rate,selected_variant,train_conf_DF_to_AKIEC_count,train_conf_DF_to_AKIEC_rate,train_conf_DF_to_SCCKA_count,train_conf_DF_to_SCCKA_rate,train_conf_INF_to_MEL_count,train_conf_INF_to_MEL_rate,train_conf_MAL_OTH_to_MEL_count,train_conf_MAL_OTH_to_MEL_rate,train_conf_MAL_OTH_to_NV_count,train_conf_MAL_OTH_to_NV_rate,train_conf_MEL_to_AKIEC_count,train_conf_MEL_to_AKIEC_rate,val_conf_BCC_to_AKIEC_count,val_conf_BCC_to_AKIEC_rate,val_conf_BCC_to_MEL_count,val_conf_BCC_to_MEL_rate,val_conf_BEN_OTH_to_NV_count,val_conf_BEN_OTH_to_NV_rate,val_conf_BKL_to_AKIEC_count,val_conf_BKL_to_AKIEC_rate,val_conf_BKL_to_MEL_count,val_conf_BKL_to_MEL_rate,val_conf_INF_to_NV_count,val_conf_INF_to_NV_rate,val_conf_MEL_to_AKIEC_count,val_conf_MEL_to_AKIEC_rate,val_conf_MEL_to_VASC_count,val_conf_MEL_to_VASC_rate,val_conf_NV_to_VASC_count,val_conf_NV_to_VASC_rate,val_conf_SCCKA_to_AKIEC_count,val_conf_SCCKA_to_AKIEC_rate,val_conf_VASC_to_NV_count,val_conf_VASC_to_NV_rate,val_raw_conf_BCC_to_AKIEC_count,val_raw_conf_BCC_to_AKIEC_rate,val_raw_conf_BCC_to_MEL_count,val_raw_conf_BCC_to_MEL_rate,val_raw_conf_BEN_OTH_to_NV_count,val_raw_conf_BEN_OTH_to_NV_rate,val_raw_conf_BKL_to_AKIEC_count,val_raw_conf_BKL_to_AKIEC_rate,val_raw_conf_BKL_to_MEL_count,val_raw_conf_BKL_to_MEL_rate,val_raw_conf_INF_to_NV_count,val_raw_conf_INF_to_NV_rate,val_raw_conf_MEL_to_AKIEC_count,val_raw_conf_MEL_to_AKIEC_rate,val_raw_conf_MEL_to_VASC_count,val_raw_conf_MEL_to_VASC_rate,val_raw_conf_NV_to_VASC_count,val_raw_conf_NV_to_VASC_rate,val_raw_conf_SCCKA_to_AKIEC_count,val_raw_conf_SCCKA_to_AKIEC_rate,val_raw_conf_VASC_to_NV_count,val_raw_conf_VASC_to_NV_rate,train_conf_BEN_OTH_to_INF_count,train_conf_BEN_OTH_to_INF_rate,train_conf_BEN_OTH_to_VASC_count,train_conf_BEN_OTH_to_VASC_rate,train_conf_DF_to_VASC_count,train_conf_DF_to_VASC_rate,train_conf_INF_to_VASC_count,train_conf_INF_to_VASC_rate,train_conf_MAL_OTH_to_BKL_count,train_conf_MAL_OTH_to_BKL_rate,val_conf_AKIEC_to_MEL_count,val_conf_AKIEC_to_MEL_rate,val_conf_INF_to_DF_count,val_conf_INF_to_DF_rate,val_conf_INF_to_VASC_count,val_conf_INF_to_VASC_rate,val_raw_conf_AKIEC_to_MEL_count,val_raw_conf_AKIEC_to_MEL_rate,val_raw_conf_INF_to_DF_count,val_raw_conf_INF_to_DF_rate,val_raw_conf_INF_to_VASC_count,val_raw_conf_INF_to_VASC_rate,train_conf_AKIEC_to_DF_count,train_conf_AKIEC_to_DF_rate,train_conf_BCC_to_DF_count,train_conf_BCC_to_DF_rate,train_conf_BEN_OTH_to_AKIEC_count,train_conf_BEN_OTH_to_AKIEC_rate,train_conf_INF_to_AKIEC_count,train_conf_INF_to_AKIEC_rate,train_conf_INF_to_BEN_OTH_count,train_conf_INF_to_BEN_OTH_rate,val_conf_BEN_OTH_to_AKIEC_count,val_conf_BEN_OTH_to_AKIEC_rate,val_raw_conf_BEN_OTH_to_AKIEC_count,val_raw_conf_BEN_OTH_to_AKIEC_rate,train_conf_BEN_OTH_to_DF_count,train_conf_BEN_OTH_to_DF_rate,train_conf_BKL_to_DF_count,train_conf_BKL_to_DF_rate,train_conf_NV_to_DF_count,train_conf_NV_to_DF_rate,train_conf_VASC_to_BEN_OTH_count,train_conf_VASC_to_BEN_OTH_rate,val_conf_BCC_to_VASC_count,val_conf_BCC_to_VASC_rate,val_conf_DF_to_VASC_count,val_conf_DF_to_VASC_rate,val_conf_VASC_to_MEL_count,val_conf_VASC_to_MEL_rate,val_raw_conf_BCC_to_VASC_count,val_raw_conf_BCC_to_VASC_rate,val_raw_conf_DF_to_VASC_count,val_raw_conf_DF_to_VASC_rate,val_raw_conf_VASC_to_MEL_count,val_raw_conf_VASC_to_MEL_rate,train_conf_BKL_to_INF_count,train_conf_BKL_to_INF_rate,train_conf_DF_to_INF_count,train_conf_DF_to_INF_rate,train_conf_INF_to_DF_count,train_conf_INF_to_DF_rate,train_conf_NV_to_BEN_OTH_count,train_conf_NV_to_BEN_OTH_rate,train_conf_SCCKA_to_VASC_count,train_conf_SCCKA_to_VASC_rate,val_conf_BCC_to_BEN_OTH_count,val_conf_BCC_to_BEN_OTH_rate,val_conf_INF_to_BEN_OTH_count,val_conf_INF_to_BEN_OTH_rate,val_conf_NV_to_BEN_OTH_count,val_conf_NV_to_BEN_OTH_rate,val_raw_conf_BCC_to_BEN_OTH_count,val_raw_conf_BCC_to_BEN_OTH_rate,val_raw_conf_INF_to_BEN_OTH_count,val_raw_conf_INF_to_BEN_OTH_rate,val_raw_conf_NV_to_BEN_OTH_count,val_raw_conf_NV_to_BEN_OTH_rate,train_conf_DF_to_BEN_OTH_count,train_conf_DF_to_BEN_OTH_rate,train_conf_VASC_to_AKIEC_count,train_conf_VASC_to_AKIEC_rate,train_conf_VASC_to_DF_count,train_conf_VASC_to_DF_rate,val_conf_SCCKA_to_MEL_count,val_conf_SCCKA_to_MEL_rate,val_raw_conf_SCCKA_to_MEL_count,val_raw_conf_SCCKA_to_MEL_rate,train_conf_AKIEC_to_INF_count,train_conf_AKIEC_to_INF_rate,train_conf_AKIEC_to_VASC_count,train_conf_AKIEC_to_VASC_rate,train_conf_MEL_to_INF_count,train_conf_MEL_to_INF_rate,train_conf_VASC_to_INF_count,train_conf_VASC_to_INF_rate,train_conf_BKL_to_BEN_OTH_count,train_conf_BKL_to_BEN_OTH_rate,train_conf_MAL_OTH_to_DF_count,train_conf_MAL_OTH_to_DF_rate,train_conf_MEL_to_DF_count,train_conf_MEL_to_DF_rate,val_conf_BCC_to_DF_count,val_conf_BCC_to_DF_rate,val_conf_DF_to_MEL_count,val_conf_DF_to_MEL_rate,val_conf_INF_to_AKIEC_count,val_conf_INF_to_AKIEC_rate,val_conf_MEL_to_INF_count,val_conf_MEL_to_INF_rate,val_conf_SCCKA_to_INF_count,val_conf_SCCKA_to_INF_rate,val_raw_conf_BCC_to_DF_count,val_raw_conf_BCC_to_DF_rate,val_raw_conf_DF_to_MEL_count,val_raw_conf_DF_to_MEL_rate,val_raw_conf_INF_to_AKIEC_count,val_raw_conf_INF_to_AKIEC_rate,val_raw_conf_MEL_to_INF_count,val_raw_conf_MEL_to_INF_rate,val_raw_conf_SCCKA_to_INF_count,val_raw_conf_SCCKA_to_INF_rate,val_conf_BKL_to_INF_count,val_conf_BKL_to_INF_rate,val_raw_conf_BKL_to_INF_count,val_raw_conf_BKL_to_INF_rate,val_conf_BCC_to_INF_count,val_conf_BCC_to_INF_rate,val_conf_BKL_to_DF_count,val_conf_BKL_to_DF_rate,val_conf_MAL_OTH_to_INF_count,val_conf_MAL_OTH_to_INF_rate,val_conf_MEL_to_DF_count,val_conf_MEL_to_DF_rate,val_conf_SCCKA_to_DF_count,val_conf_SCCKA_to_DF_rate,val_raw_conf_BCC_to_INF_count,val_raw_conf_BCC_to_INF_rate,val_raw_conf_BKL_to_DF_count,val_raw_conf_BKL_to_DF_rate,val_raw_conf_MAL_OTH_to_INF_count,val_raw_conf_MAL_OTH_to_INF_rate,val_raw_conf_MEL_to_DF_count,val_raw_conf_MEL_to_DF_rate,val_raw_conf_SCCKA_to_DF_count,val_raw_conf_SCCKA_to_DF_rate,train_conf_MAL_OTH_to_AKIEC_count,train_conf_MAL_OTH_to_AKIEC_rate,train_conf_AKIEC_to_BEN_OTH_count,train_conf_AKIEC_to_BEN_OTH_rate,val_conf_SCCKA_to_NV_count,val_conf_SCCKA_to_NV_rate,val_raw_conf_SCCKA_to_NV_count,val_raw_conf_SCCKA_to_NV_rate,train_conf_SCCKA_to_INF_count,train_conf_SCCKA_to_INF_rate,val_conf_NV_to_DF_count,val_conf_NV_to_DF_rate,val_raw_conf_NV_to_DF_count,val_raw_conf_NV_to_DF_rate
2
+ finetune,1,1.3210797100576737,0.5822996183206107,0.18396638093420822,0.18181564991955854,0.8244274809160306,0.18181564991955854,242.0,0.1111111111111111,0.004132231404958678,0.00796812749003984,1.0,205.0,0.8471074380165289,15.0,0.06198347107438017,2.0,0.008264462809917356,2.0,0.008264462809917356,5.0,0.02066115702479339,12.0,0.049586776859504134,2018.0,0.6096222150468195,0.9355797819623389,0.7382209188660802,1888.0,4.0,0.0019821605550049554,1.0,0.0004955401387512388,13.0,0.006442021803766105,5.0,0.002477700693756194,1.0,0.0004955401387512388,18.0,0.008919722497522299,43.0,0.02130822596630327,41.0,0.020317145688800792,4.0,0.0019821605550049554,35.0,0.0,0.0,0.0,0.0,24.0,0.6857142857142857,2.0,0.05714285714285714,3.0,0.08571428571428572,5.0,0.14285714285714285,1.0,0.02857142857142857,435.0,0.3490566037735849,0.08505747126436781,0.1367837338262477,37.0,1.0,0.0022988505747126436,289.0,0.664367816091954,23.0,0.052873563218390804,60.0,0.13793103448275862,24.0,0.05517241379310345,1.0,0.0022988505747126436,42.0,0.0,0.0,0.0,0.0,32.0,0.7619047619047619,1.0,0.023809523809523808,2.0,0.047619047619047616,7.0,0.16666666666666666,40.0,0.0,0.0,0.0,0.0,33.0,0.825,1.0,0.025,5.0,0.125,1.0,0.025,7.0,0.0,0.0,0.0,0.0,7.0,1.0,360.0,0.391304347826087,0.15,0.21686746987951808,54.0,151.0,0.41944444444444445,1.0,0.002777777777777778,18.0,0.05,130.0,0.3611111111111111,5.0,0.013888888888888888,1.0,0.002777777777777778,597.0,0.583206106870229,0.6398659966499163,0.610223642172524,382.0,1.0,0.0016750418760469012,164.0,0.2747068676716918,12.0,0.020100502512562814,1.0,0.0016750418760469012,33.0,0.05527638190954774,3.0,0.005025125628140704,1.0,0.0016750418760469012,378.0,0.47305389221556887,0.20899470899470898,0.28990825688073396,79.0,2.0,0.005291005291005291,280.0,0.7407407407407407,1.0,0.0026455026455026454,6.0,0.015873015873015872,1.0,0.0026455026455026454,2.0,0.005291005291005291,7.0,0.018518518518518517,38.0,0.0,0.0,0.0,0.0,24.0,0.631578947368421,1.0,0.02631578947368421,1.0,0.02631578947368421,11.0,0.2894736842105263,1.0,0.02631578947368421,1.1975833910112164,0.5935114503816794,0.22295853985008138,0.2125122572098762,0.8559160305343512,0.2125122572098762,61.0,0.0,0.0,0.0,0.0,34.0,0.5573770491803278,13.0,0.21311475409836064,14.0,0.22950819672131148,504.0,0.7133655394524959,0.878968253968254,0.7875555555555556,443.0,13.0,0.025793650793650792,1.0,0.001984126984126984,47.0,0.09325396825396826,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,3.0,0.3333333333333333,1.0,0.1111111111111111,1.0,0.1111111111111111,109.0,0.2215568862275449,0.3394495412844037,0.26811594202898553,37.0,53.0,0.48623853211009177,1.0,0.009174311926605505,18.0,0.1651376146788991,10.0,0.0,0.0,0.0,0.0,6.0,0.6,2.0,0.2,1.0,0.1,1.0,0.1,10.0,0.0,0.0,0.0,0.0,8.0,0.8,1.0,0.1,1.0,0.1,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.7333333333333333,0.12222222222222222,0.20952380952380953,11.0,18.0,0.2,36.0,0.4,20.0,0.2222222222222222,5.0,0.05555555555555555,149.0,0.7526881720430108,0.4697986577181208,0.5785123966942148,70.0,16.0,0.10738255033557047,57.0,0.3825503355704698,3.0,0.020134228187919462,3.0,0.020134228187919462,95.0,0.40131578947368424,0.6421052631578947,0.4939271255060729,61.0,32.0,0.3368421052631579,2.0,0.021052631578947368,9.0,0.0,0.0,0.0,0.0,6.0,0.6666666666666666,3.0,0.3333333333333333,1.1975833910112164,0.5935114503816794,0.22295853985008138,0.2125122572098762,0.8559160305343512,0.2125122572098762,61.0,0.0,0.0,0.0,0.0,34.0,0.5573770491803278,13.0,0.21311475409836064,14.0,0.22950819672131148,504.0,0.7133655394524959,0.878968253968254,0.7875555555555556,443.0,13.0,0.025793650793650792,1.0,0.001984126984126984,47.0,0.09325396825396826,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,3.0,0.3333333333333333,1.0,0.1111111111111111,1.0,0.1111111111111111,109.0,0.2215568862275449,0.3394495412844037,0.26811594202898553,37.0,53.0,0.48623853211009177,1.0,0.009174311926605505,18.0,0.1651376146788991,10.0,0.0,0.0,0.0,0.0,6.0,0.6,2.0,0.2,1.0,0.1,1.0,0.1,10.0,0.0,0.0,0.0,0.0,8.0,0.8,1.0,0.1,1.0,0.1,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.7333333333333333,0.12222222222222222,0.20952380952380953,11.0,18.0,0.2,36.0,0.4,20.0,0.2222222222222222,5.0,0.05555555555555555,149.0,0.7526881720430108,0.4697986577181208,0.5785123966942148,70.0,16.0,0.10738255033557047,57.0,0.3825503355704698,3.0,0.020134228187919462,3.0,0.020134228187919462,95.0,0.40131578947368424,0.6421052631578947,0.4939271255060729,61.0,32.0,0.3368421052631579,2.0,0.021052631578947368,9.0,0.0,0.0,0.0,0.0,6.0,0.6666666666666666,3.0,0.3333333333333333,raw,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
3
+ finetune,2,1.098604075724387,0.639074427480916,0.25888603216185396,0.2716381349740243,0.8852576335877863,0.2716381349740243,242.0,0.4358974358974359,0.07024793388429752,0.12099644128113879,17.0,155.0,0.640495867768595,32.0,0.1322314049586777,,,8.0,0.03305785123966942,6.0,0.024793388429752067,24.0,0.09917355371900827,2018.0,0.7006777108433735,0.9222001982160555,0.7963200684638425,1861.0,8.0,0.003964321110009911,,,45.0,0.022299306243805748,,,,,18.0,0.008919722497522299,30.0,0.014866204162537165,55.0,0.027254707631318136,1.0,0.0004955401387512388,35.0,0.0,0.0,0.0,0.0,16.0,0.45714285714285713,2.0,0.05714285714285714,5.0,0.14285714285714285,11.0,0.3142857142857143,1.0,0.02857142857142857,435.0,0.3168724279835391,0.17701149425287357,0.22713864306784662,77.0,5.0,0.011494252873563218,226.0,0.5195402298850574,37.0,0.08505747126436781,59.0,0.135632183908046,31.0,0.07126436781609195,,,42.0,0.0,0.0,0.0,0.0,20.0,0.47619047619047616,3.0,0.07142857142857142,3.0,0.07142857142857142,14.0,0.3333333333333333,40.0,0.0,0.0,0.0,0.0,25.0,0.625,3.0,0.075,5.0,0.125,3.0,0.075,7.0,0.0,0.0,0.0,0.0,4.0,0.5714285714285714,360.0,0.48,0.36666666666666664,0.415748031496063,132.0,66.0,0.18333333333333332,,,34.0,0.09444444444444444,122.0,0.3388888888888889,3.0,0.008333333333333333,,,597.0,0.6248196248196248,0.7252931323283082,0.6713178294573643,433.0,,,69.0,0.11557788944723618,25.0,0.04187604690117253,,,63.0,0.10552763819095477,5.0,0.008375209380234505,2.0,0.0033500837520938024,378.0,0.5507246376811594,0.4021164021164021,0.4648318042813456,152.0,5.0,0.013227513227513227,195.0,0.5158730158730159,,,22.0,0.0582010582010582,,,2.0,0.005291005291005291,2.0,0.005291005291005291,38.0,0.7,0.18421052631578946,0.2916666666666667,7.0,19.0,0.5,,,2.0,0.05263157894736842,9.0,0.23684210526315788,1.0,0.02631578947368421,1.033902249263443,0.6679389312977099,0.2997929348969129,0.30304063117804475,0.9036259541984732,0.30304063117804475,61.0,0.5,0.18032786885245902,0.26506024096385544,11.0,25.0,0.4098360655737705,8.0,0.13114754098360656,17.0,0.2786885245901639,504.0,0.7550675675675675,0.8869047619047619,0.8156934306569343,447.0,6.0,0.011904761904761904,8.0,0.015873015873015872,39.0,0.07738095238095238,9.0,0.0,0.0,0.0,0.0,5.0,0.5555555555555556,1.0,0.1111111111111111,,,,,109.0,0.45454545454545453,0.1834862385321101,0.26143790849673204,20.0,47.0,0.43119266055045874,16.0,0.14678899082568808,16.0,0.14678899082568808,10.0,0.0,0.0,0.0,0.0,4.0,0.4,1.0,0.1,3.0,0.3,2.0,0.2,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,1.0,0.1,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.717948717948718,0.3111111111111111,0.43410852713178294,28.0,14.0,0.15555555555555556,3.0,0.03333333333333333,40.0,0.4444444444444444,2.0,0.022222222222222223,149.0,0.6363636363636364,0.8926174496644296,0.7430167597765364,133.0,7.0,0.04697986577181208,3.0,0.020134228187919462,4.0,0.026845637583892617,1.0,0.006711409395973154,95.0,0.427536231884058,0.6210526315789474,0.5064377682403434,59.0,32.0,0.3368421052631579,2.0,0.021052631578947368,9.0,0.5,0.2222222222222222,0.3076923076923077,2.0,3.0,0.3333333333333333,,,1.033902249263443,0.6679389312977099,0.2997929348969129,0.30304063117804475,0.9036259541984732,0.30304063117804475,61.0,0.5,0.18032786885245902,0.26506024096385544,11.0,25.0,0.4098360655737705,8.0,0.13114754098360656,17.0,0.2786885245901639,504.0,0.7550675675675675,0.8869047619047619,0.8156934306569343,447.0,6.0,0.011904761904761904,8.0,0.015873015873015872,39.0,0.07738095238095238,9.0,0.0,0.0,0.0,0.0,5.0,0.5555555555555556,1.0,0.1111111111111111,,,,,109.0,0.45454545454545453,0.1834862385321101,0.26143790849673204,20.0,47.0,0.43119266055045874,16.0,0.14678899082568808,16.0,0.14678899082568808,10.0,0.0,0.0,0.0,0.0,4.0,0.4,1.0,0.1,3.0,0.3,2.0,0.2,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,1.0,0.1,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.717948717948718,0.3111111111111111,0.43410852713178294,28.0,14.0,0.15555555555555556,3.0,0.03333333333333333,40.0,0.4444444444444444,2.0,0.022222222222222223,149.0,0.6363636363636364,0.8926174496644296,0.7430167597765364,133.0,7.0,0.04697986577181208,3.0,0.020134228187919462,4.0,0.026845637583892617,1.0,0.006711409395973154,95.0,0.427536231884058,0.6210526315789474,0.5064377682403434,59.0,32.0,0.3368421052631579,2.0,0.021052631578947368,9.0,0.5,0.2222222222222222,0.3076923076923077,2.0,3.0,0.3333333333333333,,,raw,1.0,0.023809523809523808,1.0,0.023809523809523808,4.0,0.1,1.0,0.14285714285714285,2.0,0.2857142857142857,3.0,0.008333333333333333,2.0,0.003968253968253968,2.0,0.003968253968253968,3.0,0.3333333333333333,5.0,0.045871559633027525,5.0,0.045871559633027525,2.0,0.2,2.0,0.022222222222222223,1.0,0.011111111111111112,1.0,0.006711409395973154,2.0,0.021052631578947368,4.0,0.4444444444444444,2.0,0.003968253968253968,2.0,0.003968253968253968,3.0,0.3333333333333333,5.0,0.045871559633027525,5.0,0.045871559633027525,2.0,0.2,2.0,0.022222222222222223,1.0,0.011111111111111112,1.0,0.006711409395973154,2.0,0.021052631578947368,4.0,0.4444444444444444,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
4
+ 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5
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6
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7
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8
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finetune,7,0.821403016115873,0.7228053435114504,0.3978404305889826,0.42815895532465703,0.9446564885496184,0.42815895532465703,242.0,0.6159420289855072,0.3512396694214876,0.4473684210526316,85.0,107.0,0.44214876033057854,24.0,0.09917355371900827,,,6.0,0.024793388429752067,2.0,0.008264462809917356,18.0,0.0743801652892562,2018.0,0.7747002893757751,0.9286422200198216,0.8447148974532341,1874.0,16.0,0.007928642220019821,1.0,0.0004955401387512388,33.0,0.01635282457879088,3.0,0.0014866204162537165,,,24.0,0.011892963330029732,21.0,0.010406342913776016,41.0,0.020317145688800792,4.0,0.0019821605550049554,35.0,0.2222222222222222,0.05714285714285714,0.09090909090909091,2.0,12.0,0.34285714285714286,4.0,0.11428571428571428,3.0,0.08571428571428572,8.0,0.22857142857142856,1.0,0.02857142857142857,435.0,0.568561872909699,0.39080459770114945,0.46321525885558584,170.0,14.0,0.03218390804597701,160.0,0.367816091954023,24.0,0.05517241379310345,38.0,0.08735632183908046,29.0,0.06666666666666667,,,42.0,0.4,0.14285714285714285,0.21052631578947367,6.0,14.0,0.3333333333333333,3.0,0.07142857142857142,3.0,0.07142857142857142,9.0,0.21428571428571427,40.0,0.21428571428571427,0.075,0.1111111111111111,3.0,25.0,0.625,,,1.0,0.025,2.0,0.05,7.0,0.0,0.0,0.0,0.0,4.0,0.5714285714285714,360.0,0.6095238095238096,0.5333333333333333,0.5688888888888889,192.0,36.0,0.1,2.0,0.005555555555555556,21.0,0.058333333333333334,96.0,0.26666666666666666,3.0,0.008333333333333333,3.0,0.008333333333333333,597.0,0.7210031347962382,0.7705192629815746,0.7449392712550608,460.0,,,51.0,0.08542713567839195,24.0,0.04020100502512563,1.0,0.0016750418760469012,55.0,0.09212730318257957,,,2.0,0.0033500837520938024,378.0,0.6932907348242812,0.5740740740740741,0.6280752532561505,217.0,12.0,0.031746031746031744,127.0,0.335978835978836,,,20.0,0.05291005291005291,1.0,0.0026455026455026454,1.0,0.0026455026455026454,,,38.0,0.65625,0.5526315789473685,0.6,21.0,9.0,0.23684210526315788,,,3.0,0.07894736842105263,2.0,0.05263157894736842,,,0.9301485708196655,0.6860687022900763,0.365216749359923,0.39024245296742915,0.933206106870229,0.39024245296742915,61.0,0.5416666666666666,0.21311475409836064,0.3058823529411765,13.0,22.0,0.36065573770491804,19.0,0.3114754098360656,7.0,0.11475409836065574,504.0,0.7757166947723441,0.9126984126984127,0.8386508659981768,460.0,7.0,0.013888888888888888,6.0,0.011904761904761904,25.0,0.0496031746031746,9.0,1.0,0.1111111111111111,0.2,1.0,3.0,0.3333333333333333,3.0,0.3333333333333333,,,,,109.0,0.3979591836734694,0.3577981651376147,0.37681159420289856,39.0,46.0,0.42201834862385323,9.0,0.08256880733944955,9.0,0.08256880733944955,10.0,1.0,0.1,0.18181818181818182,1.0,4.0,0.4,,,4.0,0.4,,,10.0,1.0,0.1,0.18181818181818182,1.0,6.0,0.6,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.6153846153846154,0.35555555555555557,0.4507042253521127,32.0,13.0,0.14444444444444443,11.0,0.12222222222222222,32.0,0.35555555555555557,,,149.0,0.6685714285714286,0.785234899328859,0.7222222222222222,117.0,8.0,0.053691275167785234,9.0,0.06040268456375839,13.0,0.087248322147651,,,95.0,0.5434782608695652,0.5263157894736842,0.5347593582887701,50.0,28.0,0.29473684210526313,10.0,0.10526315789473684,9.0,0.45454545454545453,0.5555555555555556,0.5,5.0,2.0,0.2222222222222222,,,0.9301485708196655,0.6860687022900763,0.365216749359923,0.39024245296742915,0.933206106870229,0.39024245296742915,61.0,0.5416666666666666,0.21311475409836064,0.3058823529411765,13.0,22.0,0.36065573770491804,19.0,0.3114754098360656,7.0,0.11475409836065574,504.0,0.7757166947723441,0.9126984126984127,0.8386508659981768,460.0,7.0,0.013888888888888888,6.0,0.011904761904761904,25.0,0.0496031746031746,9.0,1.0,0.1111111111111111,0.2,1.0,3.0,0.3333333333333333,3.0,0.3333333333333333,,,,,109.0,0.3979591836734694,0.3577981651376147,0.37681159420289856,39.0,46.0,0.42201834862385323,9.0,0.08256880733944955,9.0,0.08256880733944955,10.0,1.0,0.1,0.18181818181818182,1.0,4.0,0.4,,,4.0,0.4,,,10.0,1.0,0.1,0.18181818181818182,1.0,6.0,0.6,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.6153846153846154,0.35555555555555557,0.4507042253521127,32.0,13.0,0.14444444444444443,11.0,0.12222222222222222,32.0,0.35555555555555557,,,149.0,0.6685714285714286,0.785234899328859,0.7222222222222222,117.0,8.0,0.053691275167785234,9.0,0.06040268456375839,13.0,0.087248322147651,,,95.0,0.5434782608695652,0.5263157894736842,0.5347593582887701,50.0,28.0,0.29473684210526313,10.0,0.10526315789473684,9.0,0.45454545454545453,0.5555555555555556,0.5,5.0,2.0,0.2222222222222222,,,raw,1.0,0.023809523809523808,2.0,0.047619047619047616,2.0,0.05,2.0,0.2857142857142857,1.0,0.14285714285714285,7.0,0.019444444444444445,3.0,0.005952380952380952,2.0,0.003968253968253968,2.0,0.2222222222222222,2.0,0.01834862385321101,4.0,0.03669724770642202,3.0,0.3,,,2.0,0.022222222222222223,2.0,0.013422818791946308,6.0,0.06315789473684211,2.0,0.2222222222222222,3.0,0.005952380952380952,2.0,0.003968253968253968,2.0,0.2222222222222222,2.0,0.01834862385321101,4.0,0.03669724770642202,3.0,0.3,,,2.0,0.022222222222222223,2.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9
+ finetune,8,0.7674644517193314,0.7437977099236641,0.4458431430674135,0.4896955055233413,0.9479961832061069,0.4896955055233413,242.0,0.5844155844155844,0.371900826446281,0.45454545454545453,90.0,85.0,0.3512396694214876,34.0,0.14049586776859505,,,7.0,0.028925619834710745,4.0,0.01652892561983471,20.0,0.08264462809917356,2018.0,0.7987421383647799,0.94400396432111,0.8653191006132183,1905.0,19.0,0.009415262636273538,1.0,0.0004955401387512388,28.0,0.013875123885034688,1.0,0.0004955401387512388,,,11.0,0.005450941526263627,18.0,0.008919722497522299,34.0,0.01684836471754212,,,35.0,0.4166666666666667,0.14285714285714285,0.2127659574468085,5.0,11.0,0.3142857142857143,8.0,0.22857142857142856,3.0,0.08571428571428572,5.0,0.14285714285714285,1.0,0.02857142857142857,435.0,0.5760517799352751,0.4091954022988506,0.478494623655914,178.0,23.0,0.052873563218390804,147.0,0.33793103448275863,25.0,0.05747126436781609,32.0,0.0735632183908046,29.0,0.06666666666666667,,,42.0,0.7058823529411765,0.2857142857142857,0.4067796610169492,12.0,15.0,0.35714285714285715,3.0,0.07142857142857142,4.0,0.09523809523809523,3.0,0.07142857142857142,40.0,0.5714285714285714,0.2,0.2962962962962963,8.0,19.0,0.475,1.0,0.025,2.0,0.05,2.0,0.05,7.0,0.0,0.0,0.0,0.0,4.0,0.5714285714285714,360.0,0.6245954692556634,0.5361111111111111,0.5769805680119582,193.0,42.0,0.11666666666666667,1.0,0.002777777777777778,21.0,0.058333333333333334,92.0,0.25555555555555554,2.0,0.005555555555555556,3.0,0.008333333333333333,597.0,0.74481658692185,0.7822445561139029,0.7630718954248366,467.0,2.0,0.0033500837520938024,42.0,0.07035175879396985,18.0,0.03015075376884422,1.0,0.0016750418760469012,59.0,0.09882747068676717,5.0,0.008375209380234505,1.0,0.0016750418760469012,378.0,0.7095808383233533,0.626984126984127,0.6657303370786517,237.0,14.0,0.037037037037037035,108.0,0.2857142857142857,,,16.0,0.042328042328042326,,,1.0,0.0026455026455026454,2.0,0.005291005291005291,38.0,0.7419354838709677,0.6052631578947368,0.6666666666666666,23.0,7.0,0.18421052631578946,,,,,2.0,0.05263157894736842,2.0,0.05263157894736842,0.9695338693283896,0.6822519083969466,0.347243193213087,0.3737357192456345,0.9217557251908397,0.3737357192456345,61.0,0.5294117647058824,0.29508196721311475,0.37894736842105264,18.0,19.0,0.3114754098360656,17.0,0.2786885245901639,7.0,0.11475409836065574,504.0,0.774247491638796,0.9186507936507936,0.8402903811252269,463.0,13.0,0.025793650793650792,2.0,0.003968253968253968,19.0,0.037698412698412696,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,4.0,0.4444444444444444,,,,,109.0,0.359375,0.42201834862385323,0.3881856540084388,46.0,41.0,0.3761467889908257,5.0,0.045871559633027525,7.0,0.06422018348623854,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,3.0,0.3,,,10.0,1.0,0.1,0.18181818181818182,1.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5576923076923077,0.32222222222222224,0.4084507042253521,29.0,15.0,0.16666666666666666,19.0,0.2111111111111111,27.0,0.3,,,149.0,0.726027397260274,0.7114093959731543,0.7186440677966102,106.0,7.0,0.04697986577181208,18.0,0.12080536912751678,16.0,0.10738255033557047,2.0,0.013422818791946308,95.0,0.5662650602409639,0.49473684210526314,0.5280898876404494,47.0,32.0,0.3368421052631579,10.0,0.10526315789473684,9.0,0.8333333333333334,0.5555555555555556,0.6666666666666666,5.0,3.0,0.3333333333333333,1.0,0.1111111111111111,0.9695338693283896,0.6822519083969466,0.347243193213087,0.3737357192456345,0.9217557251908397,0.3737357192456345,61.0,0.5294117647058824,0.29508196721311475,0.37894736842105264,18.0,19.0,0.3114754098360656,17.0,0.2786885245901639,7.0,0.11475409836065574,504.0,0.774247491638796,0.9186507936507936,0.8402903811252269,463.0,13.0,0.025793650793650792,2.0,0.003968253968253968,19.0,0.037698412698412696,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,4.0,0.4444444444444444,,,,,109.0,0.359375,0.42201834862385323,0.3881856540084388,46.0,41.0,0.3761467889908257,5.0,0.045871559633027525,7.0,0.06422018348623854,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,3.0,0.3,,,10.0,1.0,0.1,0.18181818181818182,1.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5576923076923077,0.32222222222222224,0.4084507042253521,29.0,15.0,0.16666666666666666,19.0,0.2111111111111111,27.0,0.3,,,149.0,0.726027397260274,0.7114093959731543,0.7186440677966102,106.0,7.0,0.04697986577181208,18.0,0.12080536912751678,16.0,0.10738255033557047,2.0,0.013422818791946308,95.0,0.5662650602409639,0.49473684210526314,0.5280898876404494,47.0,32.0,0.3368421052631579,10.0,0.10526315789473684,9.0,0.8333333333333334,0.5555555555555556,0.6666666666666666,5.0,3.0,0.3333333333333333,1.0,0.1111111111111111,raw,,,2.0,0.047619047619047616,5.0,0.125,1.0,0.14285714285714285,,,5.0,0.013888888888888888,5.0,0.00992063492063492,2.0,0.003968253968253968,1.0,0.1111111111111111,5.0,0.045871559633027525,5.0,0.045871559633027525,2.0,0.2,,,,,,,6.0,0.06315789473684211,,,5.0,0.00992063492063492,2.0,0.003968253968253968,1.0,0.1111111111111111,5.0,0.045871559633027525,5.0,0.045871559633027525,2.0,0.2,,,,,,,6.0,0.06315789473684211,,,,,1.0,0.0285714285714285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10
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11
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12
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13
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14
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15
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+ }
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+ }
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: 0.691793893129771
28
+ - balanced_accuracy: 0.36780841302097095
29
+ - dice_macro: 0.3930564561281751
30
+ - f1_macro: 0.3930564561281751
31
+ - roc_auc_macro_ovr: 0.8796304232453952
32
+ - top2_accuracy: 0.8473282442748091
33
+ - top3_accuracy: 0.9227099236641222
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 | 0.545455 | 0.196721 | 0.989868 | 0.289157 | 0.909014 | 0.627414 |
84
+ | BCC | 504 | 0.785235 | 0.928571 | 0.764706 | 0.850909 | 0.926343 | 0.869658 |
85
+ | BEN_OTH | 9 | 1 | 0.111111 | 1 | 0.2 | 0.794888 | 0.510338 |
86
+ | BKL | 109 | 0.395161 | 0.449541 | 0.920128 | 0.420601 | 0.801741 | 0.744372 |
87
+ | DF | 10 | 0.333333 | 0.1 | 0.998073 | 0.153846 | 0.938343 | 0.451268 |
88
+ | INF | 10 | 0 | 0 | 0.998073 | 0 | 0.925145 | |
89
+ | MAL_OTH | 2 | 0 | 0 | 1 | 0 | 0.724187 | |
90
+ | MEL | 90 | 0.561404 | 0.355556 | 0.973904 | 0.435374 | 0.890524 | 0.691032 |
91
+ | NV | 149 | 0.688312 | 0.711409 | 0.946607 | 0.69967 | 0.954192 | 0.80329 |
92
+ | SCCKA | 95 | 0.617284 | 0.526316 | 0.967471 | 0.568182 | 0.912509 | 0.818872 |
93
+ | VASC | 9 | 0.75 | 0.666667 | 0.998075 | 0.705882 | 0.899048 | 0.878905 |
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 | 0.724187 | |
100
+ | INF | 10 | 0 | 0 | 0.998073 | 0 | 0.925145 | |
101
+ | DF | 10 | 0.333333 | 0.1 | 0.998073 | 0.153846 | 0.938343 | 0.451268 |
102
+ | BEN_OTH | 9 | 1 | 0.111111 | 1 | 0.2 | 0.794888 | 0.510338 |
103
+ | AKIEC | 61 | 0.545455 | 0.196721 | 0.989868 | 0.289157 | 0.909014 | 0.627414 |
104
+
105
+ ## Prediction Distribution
106
+
107
+ | class | pred_count | mean_prob |
108
+ |---|---:|---:|
109
+ | AKIEC | 22 | 0.0390 |
110
+ | BCC | 596 | 0.5021 |
111
+ | BEN_OTH | 1 | 0.0065 |
112
+ | BKL | 124 | 0.1290 |
113
+ | DF | 3 | 0.0087 |
114
+ | INF | 2 | 0.0106 |
115
+ | MAL_OTH | 0 | 0.0009 |
116
+ | MEL | 57 | 0.0683 |
117
+ | NV | 154 | 0.1380 |
118
+ | SCCKA | 81 | 0.0864 |
119
+ | VASC | 8 | 0.0105 |
120
+
121
+ - mean_confidence: 0.7804357409477234
122
+ - median_confidence: 0.8398974537849426
123
+ - mean_top1_top2_gap: 0.6543256640434265
124
+ - mean_entropy: 0.6668052673339844
125
+ - low_confidence_rows: 134
126
+
127
+ ## Top Confusion Pairs
128
+
129
+ | true | predicted | count | rate_of_true |
130
+ |---|---|---:|---:|
131
+ | BKL | BCC | 42 | 0.385 |
132
+ | SCCKA | BCC | 31 | 0.326 |
133
+ | MEL | NV | 29 | 0.322 |
134
+ | AKIEC | BCC | 25 | 0.410 |
135
+ | NV | BKL | 19 | 0.128 |
136
+ | BCC | SCCKA | 17 | 0.034 |
137
+ | MEL | BKL | 17 | 0.189 |
138
+ | NV | MEL | 17 | 0.114 |
139
+ | AKIEC | BKL | 16 | 0.262 |
140
+ | MEL | BCC | 10 | 0.111 |
141
+ | SCCKA | BKL | 10 | 0.105 |
142
+ | BCC | BKL | 8 | 0.016 |
143
+
144
+ ## Watched Confusion Patterns
145
+
146
+ | true | predicted | count | rate_of_true |
147
+ |---|---|---:|---:|
148
+ | BCC | SCCKA | 17 | 0.034 |
149
+ | SCCKA | BKL | 10 | 0.105 |
150
+ | BCC | BKL | 8 | 0.016 |
151
+ | AKIEC | SCCKA | 7 | 0.115 |
152
+ | INF | BCC | 6 | 0.600 |
153
+ | BKL | SCCKA | 5 | 0.046 |
154
+ | SCCKA | AKIEC | 3 | 0.032 |
155
+ | BCC | AKIEC | 2 | 0.004 |
156
+ | INF | NV | 2 | 0.200 |
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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