Add files using upload-large-folder tool
Browse files- singleenc_canvas_meta_sampler05.predict.log +4 -0
- singleenc_canvas_meta_sampler05.train.log +0 -0
- singleenc_canvas_meta_sampler05/confusion_matrix.csv +12 -0
- singleenc_canvas_meta_sampler05/confusion_matrix_raw.csv +12 -0
- singleenc_canvas_meta_sampler05/data_summary.json +102 -0
- singleenc_canvas_meta_sampler05/history.csv +0 -0
- singleenc_canvas_meta_sampler05/metrics.json +719 -0
- singleenc_canvas_meta_sampler05/per_class_metrics.csv +12 -0
- singleenc_canvas_meta_sampler05/per_class_metrics_raw.csv +12 -0
- singleenc_canvas_meta_sampler05/prediction_summary.json +50 -0
- singleenc_canvas_meta_sampler05/raw/val_predictions.csv +0 -0
- singleenc_canvas_meta_sampler05/run_config.json +206 -0
- singleenc_canvas_meta_sampler05/split_summary.md +66 -0
- singleenc_canvas_meta_sampler05/splits/train.csv +0 -0
- singleenc_canvas_meta_sampler05/splits/val.csv +0 -0
- singleenc_pool_meta_sampler05.predict.log +4 -0
- singleenc_pool_meta_sampler05.train.log +0 -0
- singleenc_pool_meta_sampler05/confusion_analysis.json +747 -0
- singleenc_pool_meta_sampler05/confusion_matrix.csv +12 -0
- singleenc_pool_meta_sampler05/confusion_matrix_raw.csv +12 -0
- singleenc_pool_meta_sampler05/history.csv +0 -0
- singleenc_pool_meta_sampler05/metrics.json +719 -0
- singleenc_pool_meta_sampler05/per_class_metrics.csv +12 -0
- singleenc_pool_meta_sampler05/per_class_metrics_raw.csv +12 -0
- singleenc_pool_meta_sampler05/prediction_summary.json +50 -0
- singleenc_pool_meta_sampler05/raw/val_predictions.csv +0 -0
- singleenc_pool_meta_sampler05/run_diagnostics.json +814 -0
- singleenc_pool_meta_sampler05/run_report.md +160 -0
- singleenc_pool_meta_sampler05/splits/train.csv +0 -0
- singleenc_pool_meta_sampler05/splits/val.csv +0 -0
- singleenc_pool_meta_sampler05/val_predictions.csv +0 -0
- singleenc_pool_nometa_clean.predict.log +4 -0
- singleenc_pool_nometa_clean.train.log +0 -0
- singleenc_pool_nometa_clean/confusion_analysis.json +742 -0
- singleenc_pool_nometa_clean/confusion_matrix.csv +12 -0
- singleenc_pool_nometa_clean/confusion_matrix_raw.csv +12 -0
- singleenc_pool_nometa_clean/data_summary.json +102 -0
- singleenc_pool_nometa_clean/history.csv +16 -0
- singleenc_pool_nometa_clean/metrics.json +719 -0
- singleenc_pool_nometa_clean/per_class_metrics.csv +12 -0
- singleenc_pool_nometa_clean/per_class_metrics_raw.csv +12 -0
- singleenc_pool_nometa_clean/prediction_summary.json +50 -0
- singleenc_pool_nometa_clean/raw/val_predictions.csv +0 -0
- singleenc_pool_nometa_clean/run_config.json +204 -0
- singleenc_pool_nometa_clean/run_diagnostics.json +803 -0
- singleenc_pool_nometa_clean/run_report.md +160 -0
- singleenc_pool_nometa_clean/split_summary.md +66 -0
- singleenc_pool_nometa_clean/splits/train.csv +0 -0
- singleenc_pool_nometa_clean/splits/val.csv +0 -0
- singleenc_pool_nometa_clean/val_predictions.csv +0 -0
singleenc_canvas_meta_sampler05.predict.log
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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
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singleenc_canvas_meta_sampler05.train.log
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singleenc_canvas_meta_sampler05/confusion_matrix.csv
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,AKIEC,BCC,BEN_OTH,BKL,DF,INF,MAL_OTH,MEL,NV,SCCKA,VASC
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AKIEC,48,6,0,3,0,0,0,0,0,4,0
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BCC,54,384,4,22,4,2,0,6,2,21,5
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BEN_OTH,0,2,3,1,0,1,0,1,1,0,0
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BKL,16,24,0,43,0,1,0,6,8,11,0
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DF,0,0,0,2,5,0,0,0,2,1,0
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| 7 |
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INF,0,3,1,0,0,4,0,0,1,0,1
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| 8 |
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MAL_OTH,0,0,0,0,0,0,0,0,1,1,0
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MEL,4,7,1,7,0,1,0,35,33,1,1
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| 10 |
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NV,1,2,1,6,2,0,0,13,121,1,2
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| 11 |
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SCCKA,22,14,0,6,0,0,0,0,0,53,0
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| 12 |
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VASC,0,1,0,0,0,0,0,0,0,0,8
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singleenc_canvas_meta_sampler05/confusion_matrix_raw.csv
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,AKIEC,BCC,BEN_OTH,BKL,DF,INF,MAL_OTH,MEL,NV,SCCKA,VASC
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+
AKIEC,48,6,0,3,0,0,0,0,0,4,0
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| 3 |
+
BCC,54,384,4,22,4,2,0,6,2,21,5
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BEN_OTH,0,2,3,1,0,1,0,1,1,0,0
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BKL,16,24,0,43,0,1,0,6,8,11,0
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DF,0,0,0,2,5,0,0,0,2,1,0
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INF,0,3,1,0,0,4,0,0,1,0,1
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MAL_OTH,0,0,0,0,0,0,0,0,1,1,0
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| 9 |
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MEL,4,7,1,7,0,1,0,35,33,1,1
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| 10 |
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NV,1,2,1,6,2,0,0,13,121,1,2
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| 11 |
+
SCCKA,22,14,0,6,0,0,0,0,0,53,0
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| 12 |
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VASC,0,1,0,0,0,0,0,0,0,0,8
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singleenc_canvas_meta_sampler05/data_summary.json
ADDED
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{
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},
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"dermoscopic_mask_status_counts": {}
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},
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"train": {
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"rows": 4192,
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"class_counts": {
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"val": {
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},
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"real_rows": 1048,
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"dermoscopic_mask_status_counts": {}
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},
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"synthetic_train_only": false
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}
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singleenc_canvas_meta_sampler05/history.csv
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singleenc_canvas_meta_sampler05/metrics.json
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| 1 |
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singleenc_canvas_meta_sampler05/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,12 @@
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|
|
|
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|
|
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class,support,precision,recall_sensitivity,specificity,f1,auc_ovr,mean_correct_confidence
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| 2 |
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DF,10,0.45454545454545453,0.5,0.9942196531791907,0.47619047619047616,0.9779383429672447,0.7983245142357138
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INF,10,0.4444444444444444,0.4,0.9951830443159922,0.42105263157894735,0.9408477842003853,0.4819646223301092
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MAL_OTH,2,0.0,0.0,1.0,0.0,0.6180688336520077,
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singleenc_canvas_meta_sampler05/per_class_metrics_raw.csv
ADDED
|
@@ -0,0 +1,12 @@
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|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
| 1 |
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class,support,precision,recall_sensitivity,specificity,f1,auc_ovr,mean_correct_confidence
|
| 2 |
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AKIEC,61,0.3310344827586207,0.7868852459016393,0.9017223910840932,0.46601941747572817,0.9398408822894347,0.8152046156043822
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BCC,504,0.8668171557562077,0.7619047619047619,0.8915441176470589,0.8109820485744457,0.9341955532212886,0.7939732663313298
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BEN_OTH,9,0.3,0.3333333333333333,0.9932627526467758,0.3157894736842105,0.9325205860335792,0.4970018599379222
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BKL,109,0.4777777777777778,0.3944954128440367,0.9499467518636848,0.4321608040201005,0.7942570175181483,0.6877101758708385
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DF,10,0.45454545454545453,0.5,0.9942196531791907,0.47619047619047616,0.9779383429672447,0.7983245142357138
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INF,10,0.4444444444444444,0.4,0.9951830443159922,0.42105263157894735,0.9408477842003853,0.4819646223301092
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MAL_OTH,2,0.0,0.0,1.0,0.0,0.6180688336520077,
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MEL,90,0.5737704918032787,0.3888888888888889,0.9728601252609603,0.46357615894039733,0.9058223150081187,0.752244869159728
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NV,149,0.7159763313609467,0.8120805369127517,0.946607341490545,0.7610062893081762,0.9557450112354519,0.8866969971564961
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SCCKA,95,0.5698924731182796,0.5578947368421052,0.9580272822665268,0.5638297872340425,0.9259071077483846,0.8239367760718205
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VASC,9,0.47058823529411764,0.8888888888888888,0.9913378248315688,0.6153846153846154,0.9901614800556091,0.7926281387155243
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singleenc_canvas_meta_sampler05/prediction_summary.json
ADDED
|
@@ -0,0 +1,50 @@
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|
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|
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|
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|
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|
| 1 |
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{
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+
},
|
| 42 |
+
"mean_confidence": 0.7505911588668823,
|
| 43 |
+
"median_confidence": 0.7941693663597107,
|
| 44 |
+
"mean_top1_top2_gap": 0.5936927795410156,
|
| 45 |
+
"median_top1_top2_gap": 0.6647988557815552,
|
| 46 |
+
"mean_entropy": 0.6975350379943848,
|
| 47 |
+
"median_entropy": 0.6793444752693176,
|
| 48 |
+
"low_confidence_threshold": 0.5,
|
| 49 |
+
"low_confidence_rows": 139
|
| 50 |
+
}
|
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
|
@@ -0,0 +1,206 @@
|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"args": {
|
| 3 |
+
"data_dir": "/marimo/milk10k",
|
| 4 |
+
"dermoscopic_mask_dir": null,
|
| 5 |
+
"min_dermoscopic_mask_ratio": 0.01,
|
| 6 |
+
"clinical_checkpoint": null,
|
| 7 |
+
"dermoscopic_checkpoint": null,
|
| 8 |
+
"resume_checkpoint": null,
|
| 9 |
+
"output_dir": "/marimo/single_encoder_split_runs/singleenc_canvas_meta_sampler05",
|
| 10 |
+
"freeze_epochs": 0,
|
| 11 |
+
"finetune_epochs": 40,
|
| 12 |
+
"batch_size": 8,
|
| 13 |
+
"image_size": 260,
|
| 14 |
+
"backbone": "efficientnet_b2",
|
| 15 |
+
"num_workers": 4,
|
| 16 |
+
"head_lr": 0.0001,
|
| 17 |
+
"encoder_lr": 1e-05,
|
| 18 |
+
"metadata_lr": null,
|
| 19 |
+
"metadata_fusion": "concat",
|
| 20 |
+
"image_fusion": "single_encoder_canvas",
|
| 21 |
+
"metadata_gate_hidden_dim": 64,
|
| 22 |
+
"disable_metadata": false,
|
| 23 |
+
"freeze_metadata_head": false,
|
| 24 |
+
"weight_decay": 0.0001,
|
| 25 |
+
"val_size": 0.2,
|
| 26 |
+
"synthetic_train_only": false,
|
| 27 |
+
"augmented_data_dir": null,
|
| 28 |
+
"augmented_max_per_class": 0,
|
| 29 |
+
"augmented_classes": [],
|
| 30 |
+
"zero_augmented_metadata": false,
|
| 31 |
+
"seed": 42,
|
| 32 |
+
"branch_dim": 512,
|
| 33 |
+
"metadata_dim": 64,
|
| 34 |
+
"classifier_hidden_dim": 512,
|
| 35 |
+
"classifier_style": "simple",
|
| 36 |
+
"dropout": 0.3,
|
| 37 |
+
"logit_fusion_mode": "single",
|
| 38 |
+
"fusion_logit_weight": 0.6,
|
| 39 |
+
"clinical_logit_weight": 0.2,
|
| 40 |
+
"dermoscopic_logit_weight": 0.2,
|
| 41 |
+
"class_weight": false,
|
| 42 |
+
"weighted_sampler": true,
|
| 43 |
+
"sampler_power": 0.5,
|
| 44 |
+
"balance_mode": "none",
|
| 45 |
+
"balance_head_ratio": 2.0,
|
| 46 |
+
"balance_tail_floor": 100,
|
| 47 |
+
"balance_min_source_count": 20,
|
| 48 |
+
"loss": "ce",
|
| 49 |
+
"focal_gamma": 2.0,
|
| 50 |
+
"dice_weight": 0.3,
|
| 51 |
+
"f1_weight": 0.3,
|
| 52 |
+
"f1_ignore_classes": [],
|
| 53 |
+
"f1_class_weight": [],
|
| 54 |
+
"ldam_beta": 0.9999,
|
| 55 |
+
"ldam_max_margin": 0.5,
|
| 56 |
+
"ldam_drw_start_epoch": 0,
|
| 57 |
+
"ldam_alpha_max": 10.0,
|
| 58 |
+
"tail_num_classes": 4,
|
| 59 |
+
"k_folds": 1,
|
| 60 |
+
"amp": true,
|
| 61 |
+
"backbone_backend": "auto",
|
| 62 |
+
"imagenet_pretrained": true,
|
| 63 |
+
"selection_metric": "f1_macro",
|
| 64 |
+
"calibrate_bias": false,
|
| 65 |
+
"calibration_metric": "dice_macro",
|
| 66 |
+
"calibration_max_bias": 1.5,
|
| 67 |
+
"calibration_step": 0.25,
|
| 68 |
+
"calibration_passes": 3,
|
| 69 |
+
"patience": 6,
|
| 70 |
+
"tau": 0.0,
|
| 71 |
+
"lws_epochs": 0,
|
| 72 |
+
"lws_lr": 0.01,
|
| 73 |
+
"lws_sampler_power": 0.5,
|
| 74 |
+
"lws_min_scale": 0.75,
|
| 75 |
+
"lws_max_scale": 1.5,
|
| 76 |
+
"ema": false,
|
| 77 |
+
"ema_decay": 0.999,
|
| 78 |
+
"fit_temperature": false
|
| 79 |
+
},
|
| 80 |
+
"environment": {
|
| 81 |
+
"timestamp_utc": "2026-06-23T01:28:44.658975+00:00",
|
| 82 |
+
"cwd": "/marimo",
|
| 83 |
+
"command": [
|
| 84 |
+
"/marimo/code/train_milk10k_effb2_dual_metadata.py",
|
| 85 |
+
"--data-dir",
|
| 86 |
+
"/marimo/milk10k",
|
| 87 |
+
"--backbone",
|
| 88 |
+
"efficientnet_b2",
|
| 89 |
+
"--backbone-backend",
|
| 90 |
+
"auto",
|
| 91 |
+
"--metadata-fusion",
|
| 92 |
+
"concat",
|
| 93 |
+
"--classifier-style",
|
| 94 |
+
"simple",
|
| 95 |
+
"--logit-fusion-mode",
|
| 96 |
+
"single",
|
| 97 |
+
"--loss",
|
| 98 |
+
"ce",
|
| 99 |
+
"--freeze-epochs",
|
| 100 |
+
"0",
|
| 101 |
+
"--finetune-epochs",
|
| 102 |
+
"40",
|
| 103 |
+
"--batch-size",
|
| 104 |
+
"8",
|
| 105 |
+
"--image-size",
|
| 106 |
+
"260",
|
| 107 |
+
"--selection-metric",
|
| 108 |
+
"f1_macro",
|
| 109 |
+
"--patience",
|
| 110 |
+
"6",
|
| 111 |
+
"--num-workers",
|
| 112 |
+
"4",
|
| 113 |
+
"--seed",
|
| 114 |
+
"42",
|
| 115 |
+
"--amp",
|
| 116 |
+
"--output-dir",
|
| 117 |
+
"/marimo/single_encoder_split_runs/singleenc_canvas_meta_sampler05",
|
| 118 |
+
"--image-fusion",
|
| 119 |
+
"single_encoder_canvas",
|
| 120 |
+
"--weighted-sampler",
|
| 121 |
+
"--sampler-power",
|
| 122 |
+
"0.5"
|
| 123 |
+
],
|
| 124 |
+
"python": "3.13.11 (main, Feb 3 2026, 03:08:54) [GCC 14.2.0]",
|
| 125 |
+
"platform": "Linux-4.4.0-x86_64-with-glibc2.41",
|
| 126 |
+
"executable": "/tmp/uv-venv/bin/python",
|
| 127 |
+
"torch": {
|
| 128 |
+
"version": "2.12.0+cu130",
|
| 129 |
+
"cuda_available": true,
|
| 130 |
+
"cuda_device_count": 1,
|
| 131 |
+
"cuda_device_name": "NVIDIA RTX PRO 6000 Blackwell Server Edition"
|
| 132 |
+
},
|
| 133 |
+
"git": {
|
| 134 |
+
"available": false
|
| 135 |
+
}
|
| 136 |
+
},
|
| 137 |
+
"class_names": [
|
| 138 |
+
"AKIEC",
|
| 139 |
+
"BCC",
|
| 140 |
+
"BEN_OTH",
|
| 141 |
+
"BKL",
|
| 142 |
+
"DF",
|
| 143 |
+
"INF",
|
| 144 |
+
"MAL_OTH",
|
| 145 |
+
"MEL",
|
| 146 |
+
"NV",
|
| 147 |
+
"SCCKA",
|
| 148 |
+
"VASC"
|
| 149 |
+
],
|
| 150 |
+
"label_to_idx": {
|
| 151 |
+
"AKIEC": 0,
|
| 152 |
+
"BCC": 1,
|
| 153 |
+
"BEN_OTH": 2,
|
| 154 |
+
"BKL": 3,
|
| 155 |
+
"DF": 4,
|
| 156 |
+
"INF": 5,
|
| 157 |
+
"MAL_OTH": 6,
|
| 158 |
+
"MEL": 7,
|
| 159 |
+
"NV": 8,
|
| 160 |
+
"SCCKA": 9,
|
| 161 |
+
"VASC": 10
|
| 162 |
+
},
|
| 163 |
+
"metadata_spec": {
|
| 164 |
+
"sex_values": [
|
| 165 |
+
"female",
|
| 166 |
+
"male",
|
| 167 |
+
"unknown"
|
| 168 |
+
],
|
| 169 |
+
"site_values": [
|
| 170 |
+
"foot",
|
| 171 |
+
"genital",
|
| 172 |
+
"hand",
|
| 173 |
+
"head_neck_face",
|
| 174 |
+
"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 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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
|
The diff for this file is too large to render.
See raw diff
|
|
|
singleenc_canvas_meta_sampler05/splits/val.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
singleenc_pool_meta_sampler05.predict.log
ADDED
|
@@ -0,0 +1,4 @@
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| 0 |
0%| | 0/60 [00:00<?, ?it/s]
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27%|██▋ | 16/60 [00:01<00:02, 15.70it/s]
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37%|███▋ | 22/60 [00:01<00:01, 21.27it/s]
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| 5 |
47%|████▋ | 28/60 [00:01<00:01, 26.99it/s]
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| 6 |
57%|█████▋ | 34/60 [00:01<00:00, 32.73it/s]
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| 7 |
67%|██████▋ | 40/60 [00:01<00:00, 37.03it/s]
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| 8 |
77%|███████▋ | 46/60 [00:02<00:00, 40.92it/s]
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| 9 |
87%|████████▋ | 52/60 [00:02<00:00, 42.66it/s]
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| 10 |
98%|█████████▊| 59/60 [00:02<00:00, 48.19it/s]
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| 11 |
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| 1 |
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| 2 |
0%| | 0/60 [00:00<?, ?it/s]
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| 3 |
2%|▏ | 1/60 [00:01<01:15, 1.28s/it]
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| 4 |
17%|█▋ | 10/60 [00:01<00:05, 9.72it/s]
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| 5 |
27%|██▋ | 16/60 [00:01<00:02, 15.70it/s]
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| 6 |
37%|███▋ | 22/60 [00:01<00:01, 21.27it/s]
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| 7 |
47%|████▋ | 28/60 [00:01<00:01, 26.99it/s]
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| 8 |
57%|█████▋ | 34/60 [00:01<00:00, 32.73it/s]
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| 9 |
67%|██████▋ | 40/60 [00:01<00:00, 37.03it/s]
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| 10 |
77%|███████▋ | 46/60 [00:02<00:00, 40.92it/s]
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| 11 |
87%|████████▋ | 52/60 [00:02<00:00, 42.66it/s]
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| 12 |
98%|█████████▊| 59/60 [00:02<00:00, 48.19it/s]
|
| 13 |
|
| 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
|
The diff for this file is too large to render.
See raw diff
|
|
|
singleenc_pool_meta_sampler05/confusion_analysis.json
ADDED
|
@@ -0,0 +1,747 @@
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 8 |
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| 9 |
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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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| 16 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 26 |
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| 27 |
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| 28 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 40 |
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| 41 |
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| 53 |
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| 693 |
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| 695 |
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| 698 |
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|
| 699 |
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| 700 |
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| 704 |
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| 705 |
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| 711 |
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| 717 |
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| 719 |
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|
| 722 |
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| 723 |
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| 729 |
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| 730 |
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| 731 |
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| 733 |
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| 734 |
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| 735 |
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| 736 |
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|
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|
| 738 |
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| 739 |
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|
| 740 |
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| 741 |
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|
| 742 |
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|
| 743 |
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|
| 744 |
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|
| 745 |
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|
| 746 |
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|
| 747 |
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}
|
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,36,6,0,8,0,0,0,1,0,10,0
|
| 3 |
+
BCC,22,434,0,11,0,1,0,2,2,32,0
|
| 4 |
+
BEN_OTH,1,2,1,1,0,0,0,3,1,0,0
|
| 5 |
+
BKL,14,29,1,42,0,0,0,9,6,8,0
|
| 6 |
+
DF,1,1,0,0,4,0,0,1,2,1,0
|
| 7 |
+
INF,1,7,0,0,0,2,0,0,0,0,0
|
| 8 |
+
MAL_OTH,0,1,0,0,0,0,0,0,0,1,0
|
| 9 |
+
MEL,0,12,1,9,0,0,0,42,25,1,0
|
| 10 |
+
NV,0,6,1,6,0,0,0,24,112,0,0
|
| 11 |
+
SCCKA,10,17,0,12,0,0,0,0,0,56,0
|
| 12 |
+
VASC,0,1,0,0,0,0,0,0,2,0,6
|
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,36,6,0,8,0,0,0,1,0,10,0
|
| 3 |
+
BCC,22,434,0,11,0,1,0,2,2,32,0
|
| 4 |
+
BEN_OTH,1,2,1,1,0,0,0,3,1,0,0
|
| 5 |
+
BKL,14,29,1,42,0,0,0,9,6,8,0
|
| 6 |
+
DF,1,1,0,0,4,0,0,1,2,1,0
|
| 7 |
+
INF,1,7,0,0,0,2,0,0,0,0,0
|
| 8 |
+
MAL_OTH,0,1,0,0,0,0,0,0,0,1,0
|
| 9 |
+
MEL,0,12,1,9,0,0,0,42,25,1,0
|
| 10 |
+
NV,0,6,1,6,0,0,0,24,112,0,0
|
| 11 |
+
SCCKA,10,17,0,12,0,0,0,0,0,56,0
|
| 12 |
+
VASC,0,1,0,0,0,0,0,0,2,0,6
|
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
|
@@ -0,0 +1,719 @@
|
|
|
|
|
|
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|
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|
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|
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|
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| 1 |
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| 2 |
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| 3 |
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singleenc_pool_meta_sampler05/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,12 @@
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| 1 |
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class,support,precision,recall_sensitivity,specificity,f1,auc_ovr,mean_correct_confidence
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| 2 |
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BEN_OTH,9,0.25,0.1111111111111111,0.9971126082771896,0.15384615384615385,0.9057854774890386,0.8346918671834209
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DF,10,1.0,0.4,1.0,0.5714285714285714,0.9857418111753371,0.6831094913516148
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MAL_OTH,2,0.0,0.0,1.0,0.0,0.6204588910133844,
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|
singleenc_pool_meta_sampler05/per_class_metrics_raw.csv
ADDED
|
@@ -0,0 +1,12 @@
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|
|
|
|
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|
| 1 |
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class,support,precision,recall_sensitivity,specificity,f1,auc_ovr,mean_correct_confidence
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| 2 |
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AKIEC,61,0.4235294117647059,0.5901639344262295,0.950354609929078,0.4931506849315068,0.9235803145813609,0.824212395181434
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BCC,504,0.8410852713178295,0.8611111111111112,0.8492647058823529,0.8509803921568627,0.9263575221755369,0.9139648363634595
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BEN_OTH,9,0.25,0.1111111111111111,0.9971126082771896,0.15384615384615385,0.9057854774890386,0.8346918671834209
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BKL,109,0.47191011235955055,0.3853211009174312,0.9499467518636848,0.42424242424242425,0.7954880753485555,0.832611213426887
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DF,10,1.0,0.4,1.0,0.5714285714285714,0.9857418111753371,0.6831094913516148
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INF,10,0.6666666666666666,0.2,0.9990366088631984,0.3076923076923077,0.921868978805395,0.8063944565704304
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MAL_OTH,2,0.0,0.0,1.0,0.0,0.6204588910133844,
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MEL,90,0.5121951219512195,0.4666666666666667,0.9582463465553236,0.4883720930232558,0.904384133611691,0.8888737194423759
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| 12 |
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VASC,9,1.0,0.6666666666666666,1.0,0.8,0.9825687092289594,0.8399801339771983
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singleenc_pool_meta_sampler05/prediction_summary.json
ADDED
|
@@ -0,0 +1,50 @@
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|
| 1 |
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{
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| 14 |
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"VASC": 6
|
| 15 |
+
},
|
| 16 |
+
"mean_probability": {
|
| 17 |
+
"AKIEC": 0.08066479116678238,
|
| 18 |
+
"BCC": 0.46763738989830017,
|
| 19 |
+
"BEN_OTH": 0.00527145154774189,
|
| 20 |
+
"BKL": 0.10159767419099808,
|
| 21 |
+
"DF": 0.0038658094126731157,
|
| 22 |
+
"INF": 0.0037489146925508976,
|
| 23 |
+
"MAL_OTH": 0.00035703895264305174,
|
| 24 |
+
"MEL": 0.07766269147396088,
|
| 25 |
+
"NV": 0.14169038832187653,
|
| 26 |
+
"SCCKA": 0.11116476356983185,
|
| 27 |
+
"VASC": 0.0063390894792973995
|
| 28 |
+
},
|
| 29 |
+
"median_probability": {
|
| 30 |
+
"AKIEC": 0.0005061010597273707,
|
| 31 |
+
"BCC": 0.39414751529693604,
|
| 32 |
+
"BEN_OTH": 2.3659799808228854e-06,
|
| 33 |
+
"BKL": 0.008271319791674614,
|
| 34 |
+
"DF": 2.8656227186729666e-06,
|
| 35 |
+
"INF": 5.730282282456756e-06,
|
| 36 |
+
"MAL_OTH": 1.7905408640217502e-06,
|
| 37 |
+
"MEL": 9.099369344767183e-05,
|
| 38 |
+
"NV": 0.0002163168101105839,
|
| 39 |
+
"SCCKA": 0.0007187090232037008,
|
| 40 |
+
"VASC": 1.788735517038731e-06
|
| 41 |
+
},
|
| 42 |
+
"mean_confidence": 0.8618848323822021,
|
| 43 |
+
"median_confidence": 0.9437005519866943,
|
| 44 |
+
"mean_top1_top2_gap": 0.7573769092559814,
|
| 45 |
+
"median_top1_top2_gap": 0.9014132022857666,
|
| 46 |
+
"mean_entropy": 0.3766627907752991,
|
| 47 |
+
"median_entropy": 0.2473694086074829,
|
| 48 |
+
"low_confidence_threshold": 0.5,
|
| 49 |
+
"low_confidence_rows": 37
|
| 50 |
+
}
|
singleenc_pool_meta_sampler05/raw/val_predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
singleenc_pool_meta_sampler05/run_diagnostics.json
ADDED
|
@@ -0,0 +1,814 @@
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| 1 |
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{
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| 2 |
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"fold": null,
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| 3 |
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| 4 |
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{
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| 5 |
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"code": "bcc_boundary_drift",
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| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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},
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| 10 |
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{
|
| 11 |
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"code": "tiny_validation_support",
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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|
| 814 |
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}
|
singleenc_pool_meta_sampler05/run_report.md
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|
|
| 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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|
|
|
singleenc_pool_nometa_clean.predict.log
ADDED
|
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|
| 11 |
90%|█████████ | 54/60 [00:02<00:00, 45.75it/s]
|
| 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
|
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|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
| 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 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"true": "AKIEC",
|
| 24 |
+
"predicted": "MEL",
|
| 25 |
+
"count": 1,
|
| 26 |
+
"rate_of_true": 0.01639344262295082
|
| 27 |
+
}
|
| 28 |
+
],
|
| 29 |
+
"BCC": [
|
| 30 |
+
{
|
| 31 |
+
"true": "BCC",
|
| 32 |
+
"predicted": "SCCKA",
|
| 33 |
+
"count": 17,
|
| 34 |
+
"rate_of_true": 0.03373015873015873
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"true": "BCC",
|
| 38 |
+
"predicted": "BKL",
|
| 39 |
+
"count": 8,
|
| 40 |
+
"rate_of_true": 0.015873015873015872
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"true": "BCC",
|
| 44 |
+
"predicted": "NV",
|
| 45 |
+
"count": 6,
|
| 46 |
+
"rate_of_true": 0.011904761904761904
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"true": "BCC",
|
| 50 |
+
"predicted": "AKIEC",
|
| 51 |
+
"count": 2,
|
| 52 |
+
"rate_of_true": 0.003968253968253968
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"true": "BCC",
|
| 56 |
+
"predicted": "MEL",
|
| 57 |
+
"count": 2,
|
| 58 |
+
"rate_of_true": 0.003968253968253968
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"true": "BCC",
|
| 62 |
+
"predicted": "DF",
|
| 63 |
+
"count": 1,
|
| 64 |
+
"rate_of_true": 0.001984126984126984
|
| 65 |
+
}
|
| 66 |
+
],
|
| 67 |
+
"BEN_OTH": [
|
| 68 |
+
{
|
| 69 |
+
"true": "BEN_OTH",
|
| 70 |
+
"predicted": "BKL",
|
| 71 |
+
"count": 4,
|
| 72 |
+
"rate_of_true": 0.4444444444444444
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"true": "BEN_OTH",
|
| 76 |
+
"predicted": "BCC",
|
| 77 |
+
"count": 2,
|
| 78 |
+
"rate_of_true": 0.2222222222222222
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"true": "BEN_OTH",
|
| 82 |
+
"predicted": "NV",
|
| 83 |
+
"count": 2,
|
| 84 |
+
"rate_of_true": 0.2222222222222222
|
| 85 |
+
}
|
| 86 |
+
],
|
| 87 |
+
"BKL": [
|
| 88 |
+
{
|
| 89 |
+
"true": "BKL",
|
| 90 |
+
"predicted": "BCC",
|
| 91 |
+
"count": 42,
|
| 92 |
+
"rate_of_true": 0.3853211009174312
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"true": "BKL",
|
| 96 |
+
"predicted": "NV",
|
| 97 |
+
"count": 5,
|
| 98 |
+
"rate_of_true": 0.045871559633027525
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"true": "BKL",
|
| 102 |
+
"predicted": "SCCKA",
|
| 103 |
+
"count": 5,
|
| 104 |
+
"rate_of_true": 0.045871559633027525
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"true": "BKL",
|
| 108 |
+
"predicted": "AKIEC",
|
| 109 |
+
"count": 4,
|
| 110 |
+
"rate_of_true": 0.03669724770642202
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"true": "BKL",
|
| 114 |
+
"predicted": "MEL",
|
| 115 |
+
"count": 4,
|
| 116 |
+
"rate_of_true": 0.03669724770642202
|
| 117 |
+
}
|
| 118 |
+
],
|
| 119 |
+
"DF": [
|
| 120 |
+
{
|
| 121 |
+
"true": "DF",
|
| 122 |
+
"predicted": "NV",
|
| 123 |
+
"count": 4,
|
| 124 |
+
"rate_of_true": 0.4
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"true": "DF",
|
| 128 |
+
"predicted": "BCC",
|
| 129 |
+
"count": 3,
|
| 130 |
+
"rate_of_true": 0.3
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"true": "DF",
|
| 134 |
+
"predicted": "MEL",
|
| 135 |
+
"count": 1,
|
| 136 |
+
"rate_of_true": 0.1
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"true": "DF",
|
| 140 |
+
"predicted": "VASC",
|
| 141 |
+
"count": 1,
|
| 142 |
+
"rate_of_true": 0.1
|
| 143 |
+
}
|
| 144 |
+
],
|
| 145 |
+
"INF": [
|
| 146 |
+
{
|
| 147 |
+
"true": "INF",
|
| 148 |
+
"predicted": "BCC",
|
| 149 |
+
"count": 6,
|
| 150 |
+
"rate_of_true": 0.6
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"true": "INF",
|
| 154 |
+
"predicted": "NV",
|
| 155 |
+
"count": 2,
|
| 156 |
+
"rate_of_true": 0.2
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"true": "INF",
|
| 160 |
+
"predicted": "AKIEC",
|
| 161 |
+
"count": 1,
|
| 162 |
+
"rate_of_true": 0.1
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"true": "INF",
|
| 166 |
+
"predicted": "DF",
|
| 167 |
+
"count": 1,
|
| 168 |
+
"rate_of_true": 0.1
|
| 169 |
+
}
|
| 170 |
+
],
|
| 171 |
+
"MAL_OTH": [
|
| 172 |
+
{
|
| 173 |
+
"true": "MAL_OTH",
|
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| 601 |
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| 602 |
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| 641 |
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| 712 |
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| 714 |
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| 716 |
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| 717 |
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|
| 740 |
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|
| 741 |
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|
| 742 |
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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
|
| 4 |
+
BEN_OTH,0,2,1,4,0,0,0,0,2,0,0
|
| 5 |
+
BKL,4,42,0,49,0,0,0,4,5,5,0
|
| 6 |
+
DF,0,3,0,0,1,0,0,1,4,0,1
|
| 7 |
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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
|
| 9 |
+
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
|
| 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/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,12,25,0,16,0,0,0,1,0,7,0
|
| 3 |
+
BCC,2,468,0,8,1,0,0,2,6,17,0
|
| 4 |
+
BEN_OTH,0,2,1,4,0,0,0,0,2,0,0
|
| 5 |
+
BKL,4,42,0,49,0,0,0,4,5,5,0
|
| 6 |
+
DF,0,3,0,0,1,0,0,1,4,0,1
|
| 7 |
+
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
|
| 9 |
+
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
|
| 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
|
@@ -0,0 +1,102 @@
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 13 |
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|
| 14 |
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| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 27 |
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| 28 |
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| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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},
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
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|
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|
| 42 |
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|
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| 49 |
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| 50 |
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| 51 |
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| 53 |
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|
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|
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| 68 |
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|
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|
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| 81 |
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| 82 |
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| 83 |
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|
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| 86 |
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| 100 |
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|
| 101 |
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|
| 102 |
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}
|
singleenc_pool_nometa_clean/history.csv
ADDED
|
@@ -0,0 +1,16 @@
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|
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|
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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
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| 2 |
+
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| 3 |
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| 4 |
+
finetune,3,1.0285585030685855,0.6672232824427481,0.3057568896434923,0.32175716207623584,0.9038645038167938,0.32175716207623584,242.0,0.44594594594594594,0.13636363636363635,0.2088607594936709,33.0,131.0,0.5413223140495868,37.0,0.15289256198347106,,,8.0,0.03305785123966942,6.0,0.024793388429752067,27.0,0.1115702479338843,2018.0,0.7309190031152648,0.9301288404360754,0.8185782817269952,1877.0,11.0,0.005450941526263627,,,34.0,0.01684836471754212,,,,,23.0,0.011397423191278493,26.0,0.01288404360753221,45.0,0.022299306243805748,2.0,0.0009910802775024777,35.0,0.0,0.0,0.0,0.0,16.0,0.45714285714285713,3.0,0.08571428571428572,2.0,0.05714285714285714,9.0,0.2571428571428571,2.0,0.05714285714285714,435.0,0.4431818181818182,0.2689655172413793,0.33476394849785407,117.0,15.0,0.034482758620689655,178.0,0.4091954022988506,37.0,0.08505747126436781,52.0,0.11954022988505747,35.0,0.08045977011494253,1.0,0.0022988505747126436,42.0,0.0,0.0,0.0,0.0,20.0,0.47619047619047616,2.0,0.047619047619047616,6.0,0.14285714285714285,10.0,0.23809523809523808,40.0,0.5,0.025,0.047619047619047616,1.0,29.0,0.725,1.0,0.025,4.0,0.1,,,7.0,0.0,0.0,0.0,0.0,5.0,0.7142857142857143,360.0,0.48727272727272725,0.37222222222222223,0.4220472440944882,134.0,65.0,0.18055555555555555,,,25.0,0.06944444444444445,124.0,0.34444444444444444,6.0,0.016666666666666666,1.0,0.002777777777777778,597.0,0.6447368421052632,0.7386934673366834,0.6885245901639344,441.0,2.0,0.0033500837520938024,67.0,0.11222780569514237,25.0,0.04187604690117253,,,58.0,0.09715242881072027,3.0,0.005025125628140704,1.0,0.0016750418760469012,378.0,0.5973154362416108,0.4708994708994709,0.5266272189349113,178.0,8.0,0.021164021164021163,168.0,0.4444444444444444,,,19.0,0.05026455026455026,,,2.0,0.005291005291005291,3.0,0.007936507936507936,38.0,0.5925925925925926,0.42105263157894735,0.49230769230769234,16.0,12.0,0.3157894736842105,,,2.0,0.05263157894736842,8.0,0.21052631578947367,,,0.986990834237965,0.6679389312977099,0.3041366297999202,0.3095434828588145,0.9141221374045801,0.3095434828588145,61.0,0.7142857142857143,0.08196721311475409,0.14705882352941177,5.0,41.0,0.6721311475409836,7.0,0.11475409836065574,7.0,0.11475409836065574,504.0,0.72,0.9285714285714286,0.8110918544194108,468.0,3.0,0.005952380952380952,6.0,0.011904761904761904,24.0,0.047619047619047616,9.0,0.0,0.0,0.0,0.0,5.0,0.5555555555555556,1.0,0.1111111111111111,,,,,109.0,0.46153846153846156,0.22018348623853212,0.2981366459627329,24.0,53.0,0.48623853211009177,14.0,0.12844036697247707,10.0,0.09174311926605505,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,3.0,0.3,1.0,0.1,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5636363636363636,0.34444444444444444,0.42758620689655175,31.0,17.0,0.18888888888888888,6.0,0.06666666666666667,33.0,0.36666666666666664,2.0,0.022222222222222223,149.0,0.655367231638418,0.7785234899328859,0.7116564417177914,116.0,10.0,0.06711409395973154,6.0,0.040268456375838924,13.0,0.087248322147651,1.0,0.006711409395973154,95.0,0.5306122448979592,0.5473684210526316,0.538860103626943,52.0,38.0,0.4,5.0,0.05263157894736842,9.0,0.5,0.4444444444444444,0.47058823529411764,4.0,4.0,0.4444444444444444,,,0.986990834237965,0.6679389312977099,0.3041366297999202,0.3095434828588145,0.9141221374045801,0.3095434828588145,61.0,0.7142857142857143,0.08196721311475409,0.14705882352941177,5.0,41.0,0.6721311475409836,7.0,0.11475409836065574,7.0,0.11475409836065574,504.0,0.72,0.9285714285714286,0.8110918544194108,468.0,3.0,0.005952380952380952,6.0,0.011904761904761904,24.0,0.047619047619047616,9.0,0.0,0.0,0.0,0.0,5.0,0.5555555555555556,1.0,0.1111111111111111,,,,,109.0,0.46153846153846156,0.22018348623853212,0.2981366459627329,24.0,53.0,0.48623853211009177,14.0,0.12844036697247707,10.0,0.09174311926605505,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,3.0,0.3,1.0,0.1,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5636363636363636,0.34444444444444444,0.42758620689655175,31.0,17.0,0.18888888888888888,6.0,0.06666666666666667,33.0,0.36666666666666664,2.0,0.022222222222222223,149.0,0.655367231638418,0.7785234899328859,0.7116564417177914,116.0,10.0,0.06711409395973154,6.0,0.040268456375838924,13.0,0.087248322147651,1.0,0.006711409395973154,95.0,0.5306122448979592,0.5473684210526316,0.538860103626943,52.0,38.0,0.4,5.0,0.05263157894736842,9.0,0.5,0.4444444444444444,0.47058823529411764,4.0,4.0,0.4444444444444444,,,raw,,,2.0,0.047619047619047616,3.0,0.075,,,1.0,0.14285714285714285,5.0,0.013888888888888888,,,3.0,0.005952380952380952,3.0,0.3333333333333333,1.0,0.009174311926605505,7.0,0.06422018348623854,1.0,0.1,1.0,0.011111111111111112,,,3.0,0.020134228187919462,,,1.0,0.1111111111111111,,,3.0,0.005952380952380952,3.0,0.3333333333333333,1.0,0.009174311926605505,7.0,0.06422018348623854,1.0,0.1,1.0,0.011111111111111112,,,3.0,0.020134228187919462,,,1.0,0.1111111111111111,1.0,0.02857142857142857,2.0,0.05714285714285714,2.0,0.047619047619047616,2.0,0.05,1.0,0.14285714285714285,1.0,0.01639344262295082,1.0,0.1,1.0,0.1,1.0,0.01639344262295082,1.0,0.1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|
| 5 |
+
finetune,4,0.9678729533694173,0.6865458015267175,0.3371358219435247,0.3562133530490922,0.9095896946564885,0.3562133530490922,242.0,0.494949494949495,0.2024793388429752,0.2873900293255132,49.0,128.0,0.5289256198347108,30.0,0.12396694214876033,,,7.0,0.028925619834710745,3.0,0.012396694214876033,24.0,0.09917355371900827,2018.0,0.7402443831296808,0.9306243805748265,0.8245883644346872,1878.0,13.0,0.006442021803766105,,,36.0,0.017839444995044598,1.0,0.0004955401387512388,,,17.0,0.00842418235877106,24.0,0.011892963330029732,46.0,0.022794846382556987,2.0,0.0009910802775024777,35.0,0.0,0.0,0.0,0.0,17.0,0.4857142857142857,3.0,0.08571428571428572,6.0,0.17142857142857143,5.0,0.14285714285714285,,,435.0,0.49814126394052044,0.3080459770114943,0.3806818181818182,134.0,22.0,0.05057471264367816,174.0,0.4,33.0,0.07586206896551724,42.0,0.09655172413793103,29.0,0.06666666666666667,1.0,0.0022988505747126436,42.0,0.5,0.047619047619047616,0.08695652173913043,2.0,24.0,0.5714285714285714,1.0,0.023809523809523808,5.0,0.11904761904761904,9.0,0.21428571428571427,40.0,0.0,0.0,0.0,0.0,26.0,0.65,1.0,0.025,6.0,0.15,1.0,0.025,7.0,0.0,0.0,0.0,0.0,4.0,0.5714285714285714,360.0,0.5284810126582279,0.4638888888888889,0.4940828402366864,167.0,57.0,0.15833333333333333,,,26.0,0.07222222222222222,99.0,0.275,5.0,0.013888888888888888,2.0,0.005555555555555556,597.0,0.6953125,0.7453936348408711,0.719482619240097,445.0,,,58.0,0.09715242881072027,16.0,0.02680067001675042,,,71.0,0.11892797319932999,3.0,0.005025125628140704,4.0,0.006700167504187605,378.0,0.6245733788395904,0.48412698412698413,0.5454545454545454,183.0,7.0,0.018518518518518517,163.0,0.4312169312169312,,,20.0,0.05291005291005291,,,4.0,0.010582010582010581,1.0,0.0026455026455026454,38.0,0.6451612903225806,0.5263157894736842,0.5797101449275363,20.0,8.0,0.21052631578947367,,,3.0,0.07894736842105263,6.0,0.15789473684210525,1.0,0.02631578947368421,0.9927522705028985,0.6793893129770993,0.2954573086868672,0.32244950096098185,0.9150763358778626,0.32244950096098185,61.0,0.7272727272727273,0.13114754098360656,0.2222222222222222,8.0,39.0,0.639344262295082,3.0,0.04918032786885246,10.0,0.16393442622950818,504.0,0.7144948755490483,0.9682539682539683,0.8222409435551812,488.0,1.0,0.001984126984126984,,,14.0,0.027777777777777776,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,3.0,0.3333333333333333,,,,,109.0,0.4266666666666667,0.29357798165137616,0.34782608695652173,32.0,54.0,0.4954128440366973,5.0,0.045871559633027525,12.0,0.11009174311926606,10.0,0.0,0.0,0.0,0.0,6.0,0.6,1.0,0.1,2.0,0.2,1.0,0.1,10.0,0.0,0.0,0.0,0.0,9.0,0.9,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.6190476190476191,0.28888888888888886,0.3939393939393939,26.0,20.0,0.2222222222222222,12.0,0.13333333333333333,30.0,0.3333333333333333,1.0,0.011111111111111112,149.0,0.7272727272727273,0.697986577181208,0.7123287671232876,104.0,15.0,0.10067114093959731,20.0,0.1342281879194631,9.0,0.06040268456375839,1.0,0.006711409395973154,95.0,0.5604395604395604,0.5368421052631579,0.5483870967741935,51.0,42.0,0.4421052631578947,2.0,0.021052631578947368,9.0,1.0,0.3333333333333333,0.5,3.0,5.0,0.5555555555555556,1.0,0.1111111111111111,0.9927522705028985,0.6793893129770993,0.2954573086868672,0.32244950096098185,0.9150763358778626,0.32244950096098185,61.0,0.7272727272727273,0.13114754098360656,0.2222222222222222,8.0,39.0,0.639344262295082,3.0,0.04918032786885246,10.0,0.16393442622950818,504.0,0.7144948755490483,0.9682539682539683,0.8222409435551812,488.0,1.0,0.001984126984126984,,,14.0,0.027777777777777776,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,3.0,0.3333333333333333,,,,,109.0,0.4266666666666667,0.29357798165137616,0.34782608695652173,32.0,54.0,0.4954128440366973,5.0,0.045871559633027525,12.0,0.11009174311926606,10.0,0.0,0.0,0.0,0.0,6.0,0.6,1.0,0.1,2.0,0.2,1.0,0.1,10.0,0.0,0.0,0.0,0.0,9.0,0.9,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.6190476190476191,0.28888888888888886,0.3939393939393939,26.0,20.0,0.2222222222222222,12.0,0.13333333333333333,30.0,0.3333333333333333,1.0,0.011111111111111112,149.0,0.7272727272727273,0.697986577181208,0.7123287671232876,104.0,15.0,0.10067114093959731,20.0,0.1342281879194631,9.0,0.06040268456375839,1.0,0.006711409395973154,95.0,0.5604395604395604,0.5368421052631579,0.5483870967741935,51.0,42.0,0.4421052631578947,2.0,0.021052631578947368,9.0,1.0,0.3333333333333333,0.5,3.0,5.0,0.5555555555555556,1.0,0.1111111111111111,raw,,,1.0,0.023809523809523808,2.0,0.05,1.0,0.14285714285714285,,,4.0,0.011111111111111112,,,1.0,0.001984126984126984,1.0,0.1111111111111111,1.0,0.009174311926605505,5.0,0.045871559633027525,1.0,0.1,1.0,0.011111111111111112,,,,,,,,,,,1.0,0.001984126984126984,1.0,0.1111111111111111,1.0,0.009174311926605505,5.0,0.045871559633027525,1.0,0.1,1.0,0.011111111111111112,,,,,,,,,1.0,0.02857142857142857,2.0,0.05714285714285714,,,,,2.0,0.2857142857142857,1.0,0.01639344262295082,,,,,1.0,0.01639344262295082,,,,,1.0,0.004132231404958678,1.0,0.0004955401387512388,1.0,0.02857142857142857,3.0,0.075,1.0,0.025,1.0,0.1111111111111111,1.0,0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|
| 6 |
+
finetune,5,0.9134674888985758,0.6951335877862596,0.35409905632196903,0.3729624357325344,0.9248568702290076,0.3729624357325344,242.0,0.4807692307692308,0.2066115702479339,0.28901734104046245,50.0,132.0,0.5454545454545454,36.0,0.1487603305785124,,,7.0,0.028925619834710745,1.0,0.004132231404958678,15.0,0.06198347107438017,2018.0,0.7501006036217304,0.9236868186323092,0.8278925161003775,1864.0,19.0,0.009415262636273538,,,38.0,0.018830525272547076,,,,,18.0,0.008919722497522299,22.0,0.010901883052527254,56.0,0.027750247770069375,1.0,0.0004955401387512388,35.0,0.5,0.02857142857142857,0.05405405405405406,1.0,9.0,0.2571428571428571,4.0,0.11428571428571428,8.0,0.22857142857142856,8.0,0.22857142857142856,1.0,0.02857142857142857,435.0,0.4854368932038835,0.3448275862068966,0.4032258064516129,150.0,18.0,0.041379310344827586,169.0,0.38850574712643676,28.0,0.06436781609195402,40.0,0.09195402298850575,28.0,0.06436781609195402,1.0,0.0022988505747126436,42.0,0.16666666666666666,0.023809523809523808,0.041666666666666664,1.0,20.0,0.47619047619047616,2.0,0.047619047619047616,4.0,0.09523809523809523,11.0,0.2619047619047619,40.0,0.0,0.0,0.0,0.0,27.0,0.675,7.0,0.175,4.0,0.1,1.0,0.025,7.0,0.0,0.0,0.0,0.0,5.0,0.7142857142857143,360.0,0.5770491803278689,0.4888888888888889,0.5293233082706766,176.0,47.0,0.13055555555555556,,,28.0,0.07777777777777778,96.0,0.26666666666666666,3.0,0.008333333333333333,2.0,0.005555555555555556,597.0,0.7063369397217929,0.7654941373534339,0.7347266881028939,457.0,,,52.0,0.08710217755443886,24.0,0.04020100502512563,,,58.0,0.09715242881072027,2.0,0.0033500837520938024,3.0,0.005025125628140704,378.0,0.6378737541528239,0.5079365079365079,0.5655375552282769,192.0,9.0,0.023809523809523808,154.0,0.4074074074074074,,,19.0,0.05026455026455026,,,3.0,0.007936507936507936,1.0,0.0026455026455026454,38.0,0.71875,0.6052631578947368,0.6571428571428571,23.0,6.0,0.15789473684210525,,,2.0,0.05263157894736842,6.0,0.15789473684210525,,,0.9700261856080922,0.6851145038167938,0.31816806754944127,0.32612232229778787,0.9208015267175572,0.32612232229778787,61.0,0.5,0.16393442622950818,0.24691358024691357,10.0,36.0,0.5901639344262295,6.0,0.09836065573770492,8.0,0.13114754098360656,504.0,0.7358778625954199,0.9563492063492064,0.8317515099223468,482.0,4.0,0.007936507936507936,2.0,0.003968253968253968,10.0,0.01984126984126984,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,1.0,0.1111111111111111,2.0,0.2222222222222222,1.0,0.1111111111111111,109.0,0.4936708860759494,0.3577981651376147,0.4148936170212766,39.0,48.0,0.44036697247706424,2.0,0.01834862385321101,10.0,0.09174311926605505,10.0,0.0,0.0,0.0,0.0,6.0,0.6,1.0,0.1,2.0,0.2,,,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,2.0,1.0,,,90.0,0.5294117647058824,0.4,0.45569620253164556,36.0,18.0,0.2,7.0,0.07777777777777778,26.0,0.28888888888888886,1.0,0.011111111111111112,149.0,0.7461538461538462,0.6510067114093959,0.6953405017921147,97.0,11.0,0.0738255033557047,17.0,0.11409395973154363,17.0,0.11409395973154363,3.0,0.020134228187919462,95.0,0.6024096385542169,0.5263157894736842,0.5617977528089888,50.0,37.0,0.3894736842105263,4.0,0.042105263157894736,9.0,0.3333333333333333,0.4444444444444444,0.38095238095238093,4.0,4.0,0.4444444444444444,,,0.9700261856080922,0.6851145038167938,0.31816806754944127,0.32612232229778787,0.9208015267175572,0.32612232229778787,61.0,0.5,0.16393442622950818,0.24691358024691357,10.0,36.0,0.5901639344262295,6.0,0.09836065573770492,8.0,0.13114754098360656,504.0,0.7358778625954199,0.9563492063492064,0.8317515099223468,482.0,4.0,0.007936507936507936,2.0,0.003968253968253968,10.0,0.01984126984126984,9.0,0.0,0.0,0.0,0.0,4.0,0.4444444444444444,1.0,0.1111111111111111,2.0,0.2222222222222222,1.0,0.1111111111111111,109.0,0.4936708860759494,0.3577981651376147,0.4148936170212766,39.0,48.0,0.44036697247706424,2.0,0.01834862385321101,10.0,0.09174311926605505,10.0,0.0,0.0,0.0,0.0,6.0,0.6,1.0,0.1,2.0,0.2,,,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,2.0,1.0,,,90.0,0.5294117647058824,0.4,0.45569620253164556,36.0,18.0,0.2,7.0,0.07777777777777778,26.0,0.28888888888888886,1.0,0.011111111111111112,149.0,0.7461538461538462,0.6510067114093959,0.6953405017921147,97.0,11.0,0.0738255033557047,17.0,0.11409395973154363,17.0,0.11409395973154363,3.0,0.020134228187919462,95.0,0.6024096385542169,0.5263157894736842,0.5617977528089888,50.0,37.0,0.3894736842105263,4.0,0.042105263157894736,9.0,0.3333333333333333,0.4444444444444444,0.38095238095238093,4.0,4.0,0.4444444444444444,,,raw,,,3.0,0.07142857142857142,1.0,0.025,,,1.0,0.14285714285714285,8.0,0.022222222222222223,2.0,0.003968253968253968,3.0,0.005952380952380952,,,2.0,0.01834862385321101,8.0,0.07339449541284404,1.0,0.1,1.0,0.011111111111111112,1.0,0.011111111111111112,4.0,0.026845637583892617,4.0,0.042105263157894736,,,2.0,0.003968253968253968,3.0,0.005952380952380952,,,2.0,0.01834862385321101,8.0,0.07339449541284404,1.0,0.1,1.0,0.011111111111111112,1.0,0.011111111111111112,4.0,0.026845637583892617,4.0,0.042105263157894736,,,1.0,0.028571428571428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|
| 7 |
+
finetune,6,0.8664464485468982,0.7127862595419847,0.3890938600243311,0.419287117820304,0.9379770992366412,0.419287117820304,242.0,0.47692307692307695,0.256198347107438,0.3333333333333333,62.0,115.0,0.47520661157024796,29.0,0.11983471074380166,,,3.0,0.012396694214876033,5.0,0.02066115702479339,28.0,0.11570247933884298,2018.0,0.7652811735941321,0.9306243805748265,0.8398926654740608,1878.0,26.0,0.01288404360753221,,,33.0,0.01635282457879088,1.0,0.0004955401387512388,,,17.0,0.00842418235877106,25.0,0.012388503468780971,36.0,0.017839444995044598,2.0,0.0009910802775024777,35.0,0.75,0.08571428571428572,0.15384615384615385,3.0,11.0,0.3142857142857143,4.0,0.11428571428571428,8.0,0.22857142857142856,8.0,0.22857142857142856,,,435.0,0.5292096219931272,0.35402298850574715,0.42424242424242425,154.0,27.0,0.06206896551724138,162.0,0.3724137931034483,31.0,0.07126436781609195,34.0,0.07816091954022988,25.0,0.05747126436781609,1.0,0.0022988505747126436,42.0,0.75,0.14285714285714285,0.24,6.0,15.0,0.35714285714285715,1.0,0.023809523809523808,5.0,0.11904761904761904,10.0,0.23809523809523808,40.0,0.4,0.05,0.08888888888888889,2.0,22.0,0.55,4.0,0.1,2.0,0.05,3.0,0.075,7.0,0.0,0.0,0.0,0.0,3.0,0.42857142857142855,360.0,0.5896656534954408,0.5388888888888889,0.5631349782293179,194.0,51.0,0.14166666666666666,,,26.0,0.07222222222222222,84.0,0.23333333333333334,1.0,0.002777777777777778,3.0,0.008333333333333333,597.0,0.7274167987321711,0.7688442211055276,0.747557003257329,459.0,2.0,0.0033500837520938024,55.0,0.09212730318257957,16.0,0.02680067001675042,,,57.0,0.09547738693467336,2.0,0.0033500837520938024,4.0,0.006700167504187605,378.0,0.6831683168316832,0.5476190476190477,0.6079295154185022,207.0,11.0,0.0291005291005291,134.0,0.3544973544973545,,,23.0,0.06084656084656084,,,2.0,0.005291005291005291,,,38.0,0.6216216216216216,0.6052631578947368,0.6133333333333333,23.0,8.0,0.21052631578947367,,,5.0,0.13157894736842105,2.0,0.05263157894736842,,,0.9590990539952999,0.6860687022900763,0.3226037789419917,0.3458508994572965,0.9169847328244275,0.3458508994572965,61.0,0.5,0.3114754098360656,0.3838383838383838,19.0,29.0,0.47540983606557374,10.0,0.16393442622950818,3.0,0.04918032786885246,504.0,0.7605177993527508,0.9325396825396826,0.8377896613190731,470.0,5.0,0.00992063492063492,12.0,0.023809523809523808,10.0,0.01984126984126984,9.0,0.25,0.1111111111111111,0.15384615384615385,1.0,2.0,0.2222222222222222,2.0,0.2222222222222222,,,,,109.0,0.4146341463414634,0.3119266055045872,0.35602094240837695,34.0,44.0,0.4036697247706422,13.0,0.11926605504587157,6.0,0.05504587155963303,10.0,0.0,0.0,0.0,0.0,5.0,0.5,,,4.0,0.4,1.0,0.1,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,,,2.0,0.0,0.0,0.0,0.0,2.0,1.0,,,90.0,0.6666666666666666,0.2222222222222222,0.3333333333333333,20.0,15.0,0.16666666666666666,12.0,0.13333333333333333,42.0,0.4666666666666667,,,149.0,0.616504854368932,0.8523489932885906,0.7154929577464789,127.0,8.0,0.053691275167785234,10.0,0.06711409395973154,3.0,0.020134228187919462,,,95.0,0.6923076923076923,0.47368421052631576,0.5625,45.0,34.0,0.35789473684210527,9.0,0.09473684210526316,9.0,0.75,0.3333333333333333,0.46153846153846156,3.0,3.0,0.3333333333333333,,,0.9590990539952999,0.6860687022900763,0.3226037789419917,0.3458508994572965,0.9169847328244275,0.3458508994572965,61.0,0.5,0.3114754098360656,0.3838383838383838,19.0,29.0,0.47540983606557374,10.0,0.16393442622950818,3.0,0.04918032786885246,504.0,0.7605177993527508,0.9325396825396826,0.8377896613190731,470.0,5.0,0.00992063492063492,12.0,0.023809523809523808,10.0,0.01984126984126984,9.0,0.25,0.1111111111111111,0.15384615384615385,1.0,2.0,0.2222222222222222,2.0,0.2222222222222222,,,,,109.0,0.4146341463414634,0.3119266055045872,0.35602094240837695,34.0,44.0,0.4036697247706422,13.0,0.11926605504587157,6.0,0.05504587155963303,10.0,0.0,0.0,0.0,0.0,5.0,0.5,,,4.0,0.4,1.0,0.1,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,,,2.0,0.0,0.0,0.0,0.0,2.0,1.0,,,90.0,0.6666666666666666,0.2222222222222222,0.3333333333333333,20.0,15.0,0.16666666666666666,12.0,0.13333333333333333,42.0,0.4666666666666667,,,149.0,0.616504854368932,0.8523489932885906,0.7154929577464789,127.0,8.0,0.053691275167785234,10.0,0.06711409395973154,3.0,0.020134228187919462,,,95.0,0.6923076923076923,0.47368421052631576,0.5625,45.0,34.0,0.35789473684210527,9.0,0.09473684210526316,9.0,0.75,0.3333333333333333,0.46153846153846156,3.0,3.0,0.3333333333333333,,,raw,1.0,0.023809523809523808,1.0,0.023809523809523808,6.0,0.15,1.0,0.14285714285714285,2.0,0.2857142857142857,1.0,0.002777777777777778,4.0,0.007936507936507936,2.0,0.003968253968253968,3.0,0.3333333333333333,7.0,0.06422018348623854,5.0,0.045871559633027525,2.0,0.2,,,1.0,0.011111111111111112,,,7.0,0.07368421052631578,3.0,0.3333333333333333,4.0,0.007936507936507936,2.0,0.003968253968253968,3.0,0.3333333333333333,7.0,0.06422018348623854,5.0,0.045871559633027525,2.0,0.2,,,1.0,0.011111111111111112,,,7.0,0.07368421052631578,3.0,0.3333333333333333,,,1.0,0.02857142857142857,2.0,0.047619047619047616,,,1.0,0.14285714285714285,,,1.0,0.1,,,,,1.0,0.1,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|
| 8 |
+
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 |
+
finetune,9,0.7330409532114295,0.7447519083969466,0.4645897371421871,0.5023769145113802,0.9577767175572519,0.5023769145113802,242.0,0.5777777777777777,0.4297520661157025,0.4928909952606635,104.0,80.0,0.3305785123966942,31.0,0.128099173553719,,,3.0,0.012396694214876033,1.0,0.004132231404958678,22.0,0.09090909090909091,2018.0,0.7990634312473393,0.9301288404360754,0.8596290359514541,1877.0,34.0,0.01684836471754212,1.0,0.0004955401387512388,39.0,0.019326065411298315,1.0,0.0004955401387512388,,,16.0,0.007928642220019821,14.0,0.006937561942517344,35.0,0.01734390485629336,1.0,0.0004955401387512388,35.0,0.6,0.17142857142857143,0.26666666666666666,6.0,11.0,0.3142857142857143,6.0,0.17142857142857143,1.0,0.02857142857142857,4.0,0.11428571428571428,1.0,0.02857142857142857,435.0,0.5910543130990416,0.42528735632183906,0.4946524064171123,185.0,20.0,0.04597701149425287,138.0,0.31724137931034485,30.0,0.06896551724137931,27.0,0.06206896551724138,33.0,0.07586206896551724,1.0,0.0022988505747126436,42.0,0.6538461538461539,0.40476190476190477,0.5,17.0,12.0,0.2857142857142857,2.0,0.047619047619047616,3.0,0.07142857142857142,4.0,0.09523809523809523,40.0,0.3333333333333333,0.1,0.15384615384615385,4.0,19.0,0.475,2.0,0.05,3.0,0.075,1.0,0.025,7.0,0.0,0.0,0.0,0.0,2.0,0.2857142857142857,360.0,0.639871382636656,0.5527777777777778,0.5931445603576752,199.0,41.0,0.11388888888888889,,,13.0,0.03611111111111111,98.0,0.2722222222222222,,,,,597.0,0.7483870967741936,0.7772194304857621,0.76253081347576,464.0,2.0,0.0033500837520938024,54.0,0.09045226130653267,19.0,0.031825795644891124,1.0,0.0016750418760469012,51.0,0.08542713567839195,4.0,0.006700167504187605,1.0,0.0016750418760469012,378.0,0.7100591715976331,0.6349206349206349,0.6703910614525139,240.0,12.0,0.031746031746031744,109.0,0.28835978835978837,,,16.0,0.042328042328042326,,,,,,,38.0,0.7878787878787878,0.6842105263157895,0.7323943661971831,26.0,6.0,0.15789473684210525,,,2.0,0.05263157894736842,3.0,0.07894736842105263,1.0,0.02631578947368421,0.9630660926567689,0.691793893129771,0.36780841302097095,0.3930564561281751,0.9227099236641222,0.3930564561281751,61.0,0.5454545454545454,0.19672131147540983,0.2891566265060241,12.0,25.0,0.4098360655737705,16.0,0.26229508196721313,7.0,0.11475409836065574,504.0,0.785234899328859,0.9285714285714286,0.850909090909091,468.0,8.0,0.015873015873015872,6.0,0.011904761904761904,17.0,0.03373015873015873,9.0,1.0,0.1111111111111111,0.2,1.0,2.0,0.2222222222222222,4.0,0.4444444444444444,,,,,109.0,0.3951612903225806,0.44954128440366975,0.4206008583690987,49.0,42.0,0.3853211009174312,5.0,0.045871559633027525,5.0,0.045871559633027525,10.0,0.3333333333333333,0.1,0.15384615384615385,1.0,3.0,0.3,,,4.0,0.4,,,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5614035087719298,0.35555555555555557,0.43537414965986393,32.0,10.0,0.1111111111111111,17.0,0.18888888888888888,29.0,0.32222222222222224,1.0,0.011111111111111112,149.0,0.6883116883116883,0.7114093959731543,0.6996699669966997,106.0,6.0,0.040268456375838924,19.0,0.12751677852348994,17.0,0.11409395973154363,,,95.0,0.6172839506172839,0.5263157894736842,0.5681818181818182,50.0,31.0,0.3263157894736842,10.0,0.10526315789473684,9.0,0.75,0.6666666666666666,0.7058823529411765,6.0,2.0,0.2222222222222222,1.0,0.1111111111111111,0.9630660926567689,0.691793893129771,0.36780841302097095,0.3930564561281751,0.9227099236641222,0.3930564561281751,61.0,0.5454545454545454,0.19672131147540983,0.2891566265060241,12.0,25.0,0.4098360655737705,16.0,0.26229508196721313,7.0,0.11475409836065574,504.0,0.785234899328859,0.9285714285714286,0.850909090909091,468.0,8.0,0.015873015873015872,6.0,0.011904761904761904,17.0,0.03373015873015873,9.0,1.0,0.1111111111111111,0.2,1.0,2.0,0.2222222222222222,4.0,0.4444444444444444,,,,,109.0,0.3951612903225806,0.44954128440366975,0.4206008583690987,49.0,42.0,0.3853211009174312,5.0,0.045871559633027525,5.0,0.045871559633027525,10.0,0.3333333333333333,0.1,0.15384615384615385,1.0,3.0,0.3,,,4.0,0.4,,,10.0,0.0,0.0,0.0,0.0,6.0,0.6,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5614035087719298,0.35555555555555557,0.43537414965986393,32.0,10.0,0.1111111111111111,17.0,0.18888888888888888,29.0,0.32222222222222224,1.0,0.011111111111111112,149.0,0.6883116883116883,0.7114093959731543,0.6996699669966997,106.0,6.0,0.040268456375838924,19.0,0.12751677852348994,17.0,0.11409395973154363,,,95.0,0.6172839506172839,0.5263157894736842,0.5681818181818182,50.0,31.0,0.3263157894736842,10.0,0.10526315789473684,9.0,0.75,0.6666666666666666,0.7058823529411765,6.0,2.0,0.2222222222222222,1.0,0.1111111111111111,raw,,,1.0,0.023809523809523808,4.0,0.1,2.0,0.2857142857142857,2.0,0.2857142857142857,5.0,0.013888888888888888,2.0,0.003968253968253968,2.0,0.003968253968253968,2.0,0.2222222222222222,4.0,0.03669724770642202,4.0,0.03669724770642202,2.0,0.2,,,,,1.0,0.006711409395973154,3.0,0.031578947368421054,,,2.0,0.003968253968253968,2.0,0.003968253968253968,2.0,0.2222222222222222,4.0,0.03669724770642202,4.0,0.03669724770642202,2.0,0.2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|
| 11 |
+
finetune,10,0.6842456420897755,0.767175572519084,0.49297105169920724,0.531726985207768,0.9618320610687023,0.531726985207768,242.0,0.643312101910828,0.41735537190082644,0.506265664160401,101.0,86.0,0.35537190082644626,29.0,0.11983471074380166,,,4.0,0.01652892561983471,4.0,0.01652892561983471,17.0,0.07024793388429752,2018.0,0.8187688334050797,0.9425173439048563,0.8762957843814789,1902.0,22.0,0.010901883052527254,2.0,0.0009910802775024777,30.0,0.014866204162537165,1.0,0.0004955401387512388,,,13.0,0.006442021803766105,13.0,0.006442021803766105,33.0,0.01635282457879088,2.0,0.0009910802775024777,35.0,0.5454545454545454,0.17142857142857143,0.2608695652173913,6.0,12.0,0.34285714285714286,3.0,0.08571428571428572,4.0,0.11428571428571428,6.0,0.17142857142857143,,,435.0,0.5942857142857143,0.4781609195402299,0.5299363057324841,208.0,16.0,0.0367816091954023,141.0,0.32413793103448274,21.0,0.04827586206896552,25.0,0.05747126436781609,23.0,0.052873563218390804,,,42.0,0.6428571428571429,0.42857142857142855,0.5142857142857142,18.0,13.0,0.30952380952380953,1.0,0.023809523809523808,1.0,0.023809523809523808,4.0,0.09523809523809523,40.0,0.5,0.175,0.25925925925925924,7.0,18.0,0.45,3.0,0.075,3.0,0.075,2.0,0.05,7.0,0.0,0.0,0.0,0.0,3.0,0.42857142857142855,360.0,0.6930091185410334,0.6333333333333333,0.6618287373004355,228.0,20.0,0.05555555555555555,,,22.0,0.06111111111111111,86.0,0.2388888888888889,1.0,0.002777777777777778,1.0,0.002777777777777778,597.0,0.7645161290322581,0.7939698492462312,0.7789646672144618,474.0,1.0,0.0016750418760469012,29.0,0.048576214405360134,31.0,0.051926298157453935,1.0,0.0016750418760469012,51.0,0.08542713567839195,5.0,0.008375209380234505,1.0,0.0016750418760469012,378.0,0.7507692307692307,0.6455026455026455,0.6941678520625889,244.0,14.0,0.037037037037037035,94.0,0.24867724867724866,1.0,0.0026455026455026454,22.0,0.0582010582010582,,,1.0,0.0026455026455026454,2.0,0.005291005291005291,38.0,0.8,0.7368421052631579,0.7671232876712328,28.0,5.0,0.13157894736842105,,,1.0,0.02631578947368421,1.0,0.02631578947368421,,,0.9710816487328697,0.6860687022900763,0.3773578096878719,0.38888591489356317,0.9265267175572519,0.38888591489356317,61.0,0.4426229508196721,0.4426229508196721,0.4426229508196721,27.0,16.0,0.26229508196721313,9.0,0.14754098360655737,9.0,0.14754098360655737,504.0,0.785958904109589,0.9107142857142857,0.84375,459.0,4.0,0.007936507936507936,4.0,0.007936507936507936,26.0,0.051587301587301584,9.0,0.0,0.0,0.0,0.0,3.0,0.3333333333333333,3.0,0.3333333333333333,,,1.0,0.1111111111111111,109.0,0.4264705882352941,0.26605504587155965,0.327683615819209,29.0,40.0,0.3669724770642202,10.0,0.09174311926605505,11.0,0.10091743119266056,10.0,1.0,0.1,0.18181818181818182,1.0,5.0,0.5,,,3.0,0.3,,,10.0,0.5,0.1,0.16666666666666666,1.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5357142857142857,0.3333333333333333,0.410958904109589,30.0,17.0,0.18888888888888888,7.0,0.07777777777777778,31.0,0.34444444444444444,,,149.0,0.68125,0.7315436241610739,0.7055016181229773,109.0,9.0,0.06040268456375839,8.0,0.053691275167785234,20.0,0.1342281879194631,1.0,0.006711409395973154,95.0,0.5377358490566038,0.6,0.5671641791044776,57.0,25.0,0.2631578947368421,8.0,0.08421052631578947,9.0,0.6,0.6666666666666666,0.631578947368421,6.0,2.0,0.2222222222222222,,,0.9710816487328697,0.6860687022900763,0.3773578096878719,0.38888591489356317,0.9265267175572519,0.38888591489356317,61.0,0.4426229508196721,0.4426229508196721,0.4426229508196721,27.0,16.0,0.26229508196721313,9.0,0.14754098360655737,9.0,0.14754098360655737,504.0,0.785958904109589,0.9107142857142857,0.84375,459.0,4.0,0.007936507936507936,4.0,0.007936507936507936,26.0,0.051587301587301584,9.0,0.0,0.0,0.0,0.0,3.0,0.3333333333333333,3.0,0.3333333333333333,,,1.0,0.1111111111111111,109.0,0.4264705882352941,0.26605504587155965,0.327683615819209,29.0,40.0,0.3669724770642202,10.0,0.09174311926605505,11.0,0.10091743119266056,10.0,1.0,0.1,0.18181818181818182,1.0,5.0,0.5,,,3.0,0.3,,,10.0,0.5,0.1,0.16666666666666666,1.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5357142857142857,0.3333333333333333,0.410958904109589,30.0,17.0,0.18888888888888888,7.0,0.07777777777777778,31.0,0.34444444444444444,,,149.0,0.68125,0.7315436241610739,0.7055016181229773,109.0,9.0,0.06040268456375839,8.0,0.053691275167785234,20.0,0.1342281879194631,1.0,0.006711409395973154,95.0,0.5377358490566038,0.6,0.5671641791044776,57.0,25.0,0.2631578947368421,8.0,0.08421052631578947,9.0,0.6,0.6666666666666666,0.631578947368421,6.0,2.0,0.2222222222222222,,,raw,2.0,0.047619047619047616,,,4.0,0.1,1.0,0.14285714285714285,2.0,0.2857142857142857,1.0,0.002777777777777778,9.0,0.017857142857142856,2.0,0.003968253968253968,1.0,0.1111111111111111,14.0,0.12844036697247707,4.0,0.03669724770642202,1.0,0.1,4.0,0.044444444444444446,1.0,0.011111111111111112,2.0,0.013422818791946308,5.0,0.05263157894736842,1.0,0.1111111111111111,9.0,0.017857142857142856,2.0,0.003968253968253968,1.0,0.1111111111111111,14.0,0.12844036697247707,4.0,0.03669724770642202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|
| 12 |
+
finetune,11,0.6405634327386399,0.7881679389312977,0.5341535572648013,0.5776157813351719,0.9661259541984732,0.5776157813351719,242.0,0.6577540106951871,0.5082644628099173,0.5734265734265734,123.0,63.0,0.2603305785123967,22.0,0.09090909090909091,,,4.0,0.01652892561983471,2.0,0.008264462809917356,27.0,0.1115702479338843,2018.0,0.8353927625772286,0.9380574826560951,0.8837535014005602,1893.0,23.0,0.011397423191278493,1.0,0.0004955401387512388,32.0,0.015857284440039643,2.0,0.0009910802775024777,,,14.0,0.006937561942517344,15.0,0.007433102081268583,35.0,0.01734390485629336,1.0,0.0004955401387512388,35.0,0.6363636363636364,0.2,0.30434782608695654,7.0,10.0,0.2857142857142857,2.0,0.05714285714285714,3.0,0.08571428571428572,7.0,0.2,1.0,0.02857142857142857,435.0,0.6753623188405797,0.535632183908046,0.5974358974358974,233.0,19.0,0.04367816091954023,116.0,0.26666666666666666,24.0,0.05517241379310345,19.0,0.04367816091954023,23.0,0.052873563218390804,,,42.0,0.7241379310344828,0.5,0.5915492957746479,21.0,14.0,0.3333333333333333,1.0,0.023809523809523808,,,2.0,0.047619047619047616,40.0,0.7368421052631579,0.35,0.4745762711864407,14.0,16.0,0.4,3.0,0.075,1.0,0.025,,,7.0,0.0,0.0,0.0,0.0,4.0,0.5714285714285714,360.0,0.6859756097560976,0.625,0.6540697674418605,225.0,30.0,0.08333333333333333,,,20.0,0.05555555555555555,76.0,0.2111111111111111,1.0,0.002777777777777778,2.0,0.005555555555555556,597.0,0.7987117552334944,0.830820770519263,0.8144499178981938,496.0,1.0,0.0016750418760469012,32.0,0.05360134003350084,15.0,0.02512562814070352,,,51.0,0.08542713567839195,,,,,378.0,0.7535410764872521,0.7037037037037037,0.7277701778385773,266.0,13.0,0.03439153439153439,81.0,0.21428571428571427,,,16.0,0.042328042328042326,,,1.0,0.0026455026455026454,,,38.0,0.7878787878787878,0.6842105263157895,0.7323943661971831,26.0,7.0,0.18421052631578946,1.0,0.02631578947368421,,,2.0,0.05263157894736842,,,1.0352689466858638,0.6870229007633588,0.36479368098340026,0.39163754343778884,0.9208015267175572,0.39163754343778884,61.0,0.5555555555555556,0.2459016393442623,0.3409090909090909,15.0,20.0,0.32786885245901637,20.0,0.32786885245901637,6.0,0.09836065573770492,504.0,0.7657512116316639,0.9404761904761905,0.8441674087266251,474.0,10.0,0.01984126984126984,7.0,0.013888888888888888,5.0,0.00992063492063492,9.0,0.3333333333333333,0.1111111111111111,0.16666666666666666,1.0,2.0,0.2222222222222222,4.0,0.4444444444444444,,,,,109.0,0.37142857142857144,0.3577981651376147,0.3644859813084112,39.0,46.0,0.42201834862385323,9.0,0.08256880733944955,5.0,0.045871559633027525,10.0,0.2222222222222222,0.2,0.21052631578947367,2.0,2.0,0.2,,,4.0,0.4,,,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,,,1.0,0.5,90.0,0.5952380952380952,0.2777777777777778,0.3787878787878788,25.0,17.0,0.18888888888888888,12.0,0.13333333333333333,34.0,0.37777777777777777,,,149.0,0.6704545454545454,0.7919463087248322,0.7261538461538461,118.0,11.0,0.0738255033557047,10.0,0.06711409395973154,9.0,0.06040268456375839,,,95.0,0.7017543859649122,0.42105263157894735,0.5263157894736842,40.0,38.0,0.4,10.0,0.10526315789473684,9.0,0.8571428571428571,0.6666666666666666,0.75,6.0,2.0,0.2222222222222222,,,1.0352689466858638,0.6870229007633588,0.36479368098340026,0.39163754343778884,0.9208015267175572,0.39163754343778884,61.0,0.5555555555555556,0.2459016393442623,0.3409090909090909,15.0,20.0,0.32786885245901637,20.0,0.32786885245901637,6.0,0.09836065573770492,504.0,0.7657512116316639,0.9404761904761905,0.8441674087266251,474.0,10.0,0.01984126984126984,7.0,0.013888888888888888,5.0,0.00992063492063492,9.0,0.3333333333333333,0.1111111111111111,0.16666666666666666,1.0,2.0,0.2222222222222222,4.0,0.4444444444444444,,,,,109.0,0.37142857142857144,0.3577981651376147,0.3644859813084112,39.0,46.0,0.42201834862385323,9.0,0.08256880733944955,5.0,0.045871559633027525,10.0,0.2222222222222222,0.2,0.21052631578947367,2.0,2.0,0.2,,,4.0,0.4,,,10.0,0.0,0.0,0.0,0.0,7.0,0.7,,,,,2.0,0.0,0.0,0.0,0.0,,,1.0,0.5,90.0,0.5952380952380952,0.2777777777777778,0.3787878787878788,25.0,17.0,0.18888888888888888,12.0,0.13333333333333333,34.0,0.37777777777777777,,,149.0,0.6704545454545454,0.7919463087248322,0.7261538461538461,118.0,11.0,0.0738255033557047,10.0,0.06711409395973154,9.0,0.06040268456375839,,,95.0,0.7017543859649122,0.42105263157894735,0.5263157894736842,40.0,38.0,0.4,10.0,0.10526315789473684,9.0,0.8571428571428571,0.6666666666666666,0.75,6.0,2.0,0.2222222222222222,,,raw,1.0,0.023809523809523808,,,4.0,0.1,2.0,0.2857142857142857,1.0,0.14285714285714285,5.0,0.013888888888888888,1.0,0.001984126984126984,2.0,0.003968253968253968,2.0,0.2222222222222222,4.0,0.03669724770642202,5.0,0.045871559633027525,1.0,0.1,,,,,,,6.0,0.06315789473684211,1.0,0.1111111111111111,1.0,0.001984126984126984,2.0,0.003968253968253968,2.0,0.2222222222222222,4.0,0.03669724770642202,5.0,0.045871559633027525,1.0,0.1,,,,,,,6.0,0.06315789473684211,1.0,0.1111111111111111,,,3.0,0.08571428571428572,,,,,,,,,1.0,0.1,,,,,1.0,0.1,,,,,2.0,0.0009910802775024777,2.0,0.05714285714285714,,,1.0,0.0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|
| 13 |
+
finetune,12,0.6155226389941482,0.7898377862595419,0.570921241099651,0.6108181751609695,0.9630248091603053,0.6108181751609695,242.0,0.6483516483516484,0.48760330578512395,0.5566037735849056,118.0,75.0,0.30991735537190085,25.0,0.10330578512396695,,,4.0,0.01652892561983471,2.0,0.008264462809917356,18.0,0.0743801652892562,2018.0,0.8350923482849604,0.9410307234886026,0.8849021435228331,1899.0,16.0,0.007928642220019821,1.0,0.0004955401387512388,30.0,0.014866204162537165,3.0,0.0014866204162537165,,,9.0,0.0044598612487611496,14.0,0.006937561942517344,46.0,0.022794846382556987,,,35.0,0.7058823529411765,0.34285714285714286,0.46153846153846156,12.0,7.0,0.2,2.0,0.05714285714285714,8.0,0.22857142857142856,5.0,0.14285714285714285,,,435.0,0.6441176470588236,0.503448275862069,0.5651612903225807,219.0,26.0,0.059770114942528735,114.0,0.2620689655172414,33.0,0.07586206896551724,21.0,0.04827586206896552,21.0,0.04827586206896552,,,42.0,0.8181818181818182,0.6428571428571429,0.72,27.0,6.0,0.14285714285714285,2.0,0.047619047619047616,2.0,0.047619047619047616,3.0,0.07142857142857142,40.0,0.7222222222222222,0.325,0.4482758620689655,13.0,12.0,0.3,5.0,0.125,3.0,0.075,,,7.0,0.0,0.0,0.0,0.0,6.0,0.8571428571428571,360.0,0.7044776119402985,0.6555555555555556,0.679136690647482,236.0,28.0,0.07777777777777778,1.0,0.002777777777777778,21.0,0.058333333333333334,63.0,0.175,1.0,0.002777777777777778,2.0,0.005555555555555556,597.0,0.8157894736842105,0.830820770519263,0.8232365145228215,496.0,1.0,0.0016750418760469012,34.0,0.05695142378559464,21.0,0.035175879396984924,,,40.0,0.06700167504187604,1.0,0.0016750418760469012,2.0,0.0033500837520938024,378.0,0.7435158501440923,0.6825396825396826,0.7117241379310345,258.0,12.0,0.031746031746031744,89.0,0.23544973544973544,,,15.0,0.03968253968253968,1.0,0.0026455026455026454,1.0,0.0026455026455026454,1.0,0.0026455026455026454,38.0,0.868421052631579,0.868421052631579,0.868421052631579,33.0,4.0,0.10526315789473684,,,,,,,,,1.0646230016500895,0.6774809160305344,0.3486942903219796,0.35550268679143754,0.9217557251908397,0.35550268679143754,61.0,0.48484848484848486,0.5245901639344263,0.5039370078740157,32.0,15.0,0.2459016393442623,6.0,0.09836065573770492,8.0,0.13114754098360656,504.0,0.7574257425742574,0.9107142857142857,0.827027027027027,459.0,2.0,0.003968253968253968,,,32.0,0.06349206349206349,9.0,0.0,0.0,0.0,0.0,3.0,0.3333333333333333,3.0,0.3333333333333333,,,1.0,0.1111111111111111,109.0,0.4657534246575342,0.3119266055045872,0.37362637362637363,34.0,45.0,0.41284403669724773,4.0,0.03669724770642202,10.0,0.09174311926605505,10.0,0.0,0.0,0.0,0.0,4.0,0.4,,,2.0,0.2,2.0,0.2,10.0,0.0,0.0,0.0,0.0,8.0,0.8,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5625,0.3,0.391304347826087,27.0,22.0,0.24444444444444444,10.0,0.1111111111111111,26.0,0.28888888888888886,2.0,0.022222222222222223,149.0,0.7443609022556391,0.6644295302013423,0.7021276595744681,99.0,18.0,0.12080536912751678,13.0,0.087248322147651,16.0,0.10738255033557047,1.0,0.006711409395973154,95.0,0.4864864864864865,0.5684210526315789,0.5242718446601942,54.0,28.0,0.29473684210526313,5.0,0.05263157894736842,9.0,0.625,0.5555555555555556,0.5882352941176471,5.0,3.0,0.3333333333333333,,,1.0646230016500895,0.6774809160305344,0.3486942903219796,0.35550268679143754,0.9217557251908397,0.35550268679143754,61.0,0.48484848484848486,0.5245901639344263,0.5039370078740157,32.0,15.0,0.2459016393442623,6.0,0.09836065573770492,8.0,0.13114754098360656,504.0,0.7574257425742574,0.9107142857142857,0.827027027027027,459.0,2.0,0.003968253968253968,,,32.0,0.06349206349206349,9.0,0.0,0.0,0.0,0.0,3.0,0.3333333333333333,3.0,0.3333333333333333,,,1.0,0.1111111111111111,109.0,0.4657534246575342,0.3119266055045872,0.37362637362637363,34.0,45.0,0.41284403669724773,4.0,0.03669724770642202,10.0,0.09174311926605505,10.0,0.0,0.0,0.0,0.0,4.0,0.4,,,2.0,0.2,2.0,0.2,10.0,0.0,0.0,0.0,0.0,8.0,0.8,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5625,0.3,0.391304347826087,27.0,22.0,0.24444444444444444,10.0,0.1111111111111111,26.0,0.28888888888888886,2.0,0.022222222222222223,149.0,0.7443609022556391,0.6644295302013423,0.7021276595744681,99.0,18.0,0.12080536912751678,13.0,0.087248322147651,16.0,0.10738255033557047,1.0,0.006711409395973154,95.0,0.4864864864864865,0.5684210526315789,0.5242718446601942,54.0,28.0,0.29473684210526313,5.0,0.05263157894736842,9.0,0.625,0.5555555555555556,0.5882352941176471,5.0,3.0,0.3333333333333333,,,raw,,,2.0,0.047619047619047616,2.0,0.05,,,,,6.0,0.016666666666666666,10.0,0.01984126984126984,,,1.0,0.1111111111111111,13.0,0.11926605504587157,3.0,0.027522935779816515,,,2.0,0.022222222222222223,1.0,0.011111111111111112,1.0,0.006711409395973154,8.0,0.08421052631578947,1.0,0.1111111111111111,10.0,0.01984126984126984,,,1.0,0.1111111111111111,13.0,0.11926605504587157,3.0,0.027522935779816515,,,2.0,0.022222222222222223,1.0,0.011111111111111112,1.0,0.006711409395973154,8.0,0.08421052631578947,1.0,0.1111111111111111,1.0,0.02857142857142857,,,,,,,,,,,,,,,,,,,,,,,,,,,2.0,0.05,1.0,0.025,1.0,0.111111111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|
| 14 |
+
finetune,13,0.5249883204854968,0.8203721374045801,0.6035904605473794,0.6481957164294783,0.9742366412213741,0.6481957164294783,242.0,0.7712765957446809,0.5991735537190083,0.6744186046511628,145.0,55.0,0.22727272727272727,17.0,0.07024793388429752,,,6.0,0.024793388429752067,1.0,0.004132231404958678,16.0,0.06611570247933884,2018.0,0.8450704225352113,0.9514370664023786,0.8951048951048951,1920.0,15.0,0.007433102081268583,,,18.0,0.008919722497522299,3.0,0.0014866204162537165,,,10.0,0.004955401387512388,17.0,0.00842418235877106,33.0,0.01635282457879088,1.0,0.0004955401387512388,35.0,0.7777777777777778,0.4,0.5283018867924528,14.0,8.0,0.22857142857142856,1.0,0.02857142857142857,2.0,0.05714285714285714,5.0,0.14285714285714285,2.0,0.05714285714285714,435.0,0.7459807073954984,0.5333333333333333,0.6219839142091153,232.0,12.0,0.027586206896551724,125.0,0.28735632183908044,20.0,0.04597701149425287,17.0,0.03908045977011494,26.0,0.059770114942528735,,,42.0,0.8181818181818182,0.6428571428571429,0.72,27.0,7.0,0.16666666666666666,,,2.0,0.047619047619047616,2.0,0.047619047619047616,40.0,0.7142857142857143,0.375,0.4918032786885246,15.0,20.0,0.5,,,2.0,0.05,1.0,0.025,7.0,0.0,0.0,0.0,0.0,5.0,0.7142857142857143,360.0,0.7627627627627628,0.7055555555555556,0.733044733044733,254.0,30.0,0.08333333333333333,,,18.0,0.05,51.0,0.14166666666666666,1.0,0.002777777777777778,2.0,0.005555555555555556,597.0,0.839546191247974,0.8676716917922948,0.8533772652388797,518.0,,,33.0,0.05527638190954774,10.0,0.01675041876046901,,,33.0,0.05527638190954774,2.0,0.0033500837520938024,,,378.0,0.7774725274725275,0.7486772486772487,0.7628032345013477,283.0,9.0,0.023809523809523808,66.0,0.1746031746031746,1.0,0.0026455026455026454,15.0,0.03968253968253968,,,3.0,0.007936507936507936,1.0,0.0026455026455026454,38.0,0.8857142857142857,0.8157894736842105,0.8493150684931506,31.0,3.0,0.07894736842105263,,,1.0,0.02631578947368421,2.0,0.05263157894736842,,,1.0315777777146746,0.6965648854961832,0.36767432834383224,0.38309093899104085,0.9217557251908397,0.38309093899104085,61.0,0.5128205128205128,0.32786885245901637,0.4,20.0,22.0,0.36065573770491804,13.0,0.21311475409836064,6.0,0.09836065573770492,504.0,0.7720706260032103,0.9543650793650794,0.8535936113575865,481.0,2.0,0.003968253968253968,6.0,0.011904761904761904,8.0,0.015873015873015872,9.0,0.3333333333333333,0.1111111111111111,0.16666666666666666,1.0,2.0,0.2222222222222222,3.0,0.3333333333333333,,,,,109.0,0.4594594594594595,0.3119266055045872,0.37158469945355194,34.0,40.0,0.3669724770642202,5.0,0.045871559633027525,10.0,0.09174311926605505,10.0,0.2,0.1,0.13333333333333333,1.0,3.0,0.3,,,4.0,0.4,,,10.0,0.0,0.0,0.0,0.0,9.0,0.9,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5396825396825397,0.37777777777777777,0.4444444444444444,34.0,17.0,0.18888888888888888,7.0,0.07777777777777778,30.0,0.3333333333333333,,,149.0,0.6855345911949685,0.7315436241610739,0.7077922077922078,109.0,12.0,0.08053691275167785,6.0,0.040268456375838924,19.0,0.12751677852348994,,,95.0,0.6376811594202898,0.4631578947368421,0.5365853658536586,44.0,35.0,0.3684210526315789,9.0,0.09473684210526316,9.0,0.5454545454545454,0.6666666666666666,0.6,6.0,1.0,0.1111111111111111,,,1.0315777777146746,0.6965648854961832,0.36767432834383224,0.38309093899104085,0.9217557251908397,0.38309093899104085,61.0,0.5128205128205128,0.32786885245901637,0.4,20.0,22.0,0.36065573770491804,13.0,0.21311475409836064,6.0,0.09836065573770492,504.0,0.7720706260032103,0.9543650793650794,0.8535936113575865,481.0,2.0,0.003968253968253968,6.0,0.011904761904761904,8.0,0.015873015873015872,9.0,0.3333333333333333,0.1111111111111111,0.16666666666666666,1.0,2.0,0.2222222222222222,3.0,0.3333333333333333,,,,,109.0,0.4594594594594595,0.3119266055045872,0.37158469945355194,34.0,40.0,0.3669724770642202,5.0,0.045871559633027525,10.0,0.09174311926605505,10.0,0.2,0.1,0.13333333333333333,1.0,3.0,0.3,,,4.0,0.4,,,10.0,0.0,0.0,0.0,0.0,9.0,0.9,,,,,2.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.5,90.0,0.5396825396825397,0.37777777777777777,0.4444444444444444,34.0,17.0,0.18888888888888888,7.0,0.07777777777777778,30.0,0.3333333333333333,,,149.0,0.6855345911949685,0.7315436241610739,0.7077922077922078,109.0,12.0,0.08053691275167785,6.0,0.040268456375838924,19.0,0.12751677852348994,,,95.0,0.6376811594202898,0.4631578947368421,0.5365853658536586,44.0,35.0,0.3684210526315789,9.0,0.09473684210526316,9.0,0.5454545454545454,0.6666666666666666,0.6,6.0,1.0,0.1111111111111111,,,raw,3.0,0.07142857142857142,,,1.0,0.025,1.0,0.14285714285714285,1.0,0.14285714285714285,3.0,0.008333333333333333,3.0,0.005952380952380952,1.0,0.001984126984126984,3.0,0.3333333333333333,9.0,0.08256880733944955,8.0,0.07339449541284404,,,,,1.0,0.011111111111111112,2.0,0.013422818791946308,7.0,0.07368421052631578,2.0,0.2222222222222222,3.0,0.005952380952380952,1.0,0.001984126984126984,3.0,0.3333333333333333,9.0,0.08256880733944955,8.0,0.07339449541284404,,,,,1.0,0.011111111111111112,2.0,0.013422818791946308,7.0,0.07368421052631578,2.0,0.2222222222222222,1.0,0.028571428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|
| 15 |
+
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|
| 16 |
+
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|
singleenc_pool_nometa_clean/metrics.json
ADDED
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@@ -0,0 +1,719 @@
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singleenc_pool_nometa_clean/per_class_metrics.csv
ADDED
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@@ -0,0 +1,12 @@
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| 1 |
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class,support,precision,recall_sensitivity,specificity,f1,auc_ovr,mean_correct_confidence
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AKIEC,61,0.5454545454545454,0.19672131147540983,0.9898682877406282,0.2891566265060241,0.9090139020379691,0.6274142763938967
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BCC,504,0.785234899328859,0.9285714285714286,0.7647058823529411,0.850909090909091,0.926342933006536,0.8696582281599299
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BEN_OTH,9,1.0,0.1111111111111111,1.0,0.2,0.7948882472462838,0.5103377456860456
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BKL,109,0.3951612903225806,0.44954128440366975,0.9201277955271565,0.4206008583690987,0.8017410675030043,0.7443715727479775
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DF,10,0.3333333333333333,0.1,0.9980732177263969,0.15384615384615385,0.9383429672447015,0.4512676364439196
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INF,10,0.0,0.0,0.9980732177263969,0.0,0.9251445086705202,
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MAL_OTH,2,0.0,0.0,1.0,0.0,0.7241873804971319,
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MEL,90,0.5614035087719298,0.35555555555555557,0.9739039665970772,0.43537414965986393,0.8905242403154721,0.6910322460343253
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VASC,9,0.75,0.6666666666666666,0.9980750721847931,0.7058823529411765,0.8990482301358144,0.8789052956893416
|
singleenc_pool_nometa_clean/per_class_metrics_raw.csv
ADDED
|
@@ -0,0 +1,12 @@
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|
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|
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|
|
|
|
|
| 1 |
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class,support,precision,recall_sensitivity,specificity,f1,auc_ovr,mean_correct_confidence
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| 2 |
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AKIEC,61,0.5454545454545454,0.19672131147540983,0.9898682877406282,0.2891566265060241,0.9090139020379691,0.6274142763938967
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BCC,504,0.785234899328859,0.9285714285714286,0.7647058823529411,0.850909090909091,0.926342933006536,0.8696582281599299
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BEN_OTH,9,1.0,0.1111111111111111,1.0,0.2,0.7948882472462838,0.5103377456860456
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BKL,109,0.3951612903225806,0.44954128440366975,0.9201277955271565,0.4206008583690987,0.8017410675030043,0.7443715727479775
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DF,10,0.3333333333333333,0.1,0.9980732177263969,0.15384615384615385,0.9383429672447015,0.4512676364439196
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INF,10,0.0,0.0,0.9980732177263969,0.0,0.9251445086705202,
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MAL_OTH,2,0.0,0.0,1.0,0.0,0.7241873804971319,
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MEL,90,0.5614035087719298,0.35555555555555557,0.9739039665970772,0.43537414965986393,0.8905242403154721,0.6910322460343253
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NV,149,0.6883116883116883,0.7114093959731543,0.946607341490545,0.6996699669966997,0.9541922046121343,0.8032897090169124
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VASC,9,0.75,0.6666666666666666,0.9980750721847931,0.7058823529411765,0.8990482301358144,0.8789052956893416
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singleenc_pool_nometa_clean/prediction_summary.json
ADDED
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@@ -0,0 +1,50 @@
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{
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singleenc_pool_nometa_clean/raw/val_predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
singleenc_pool_nometa_clean/run_config.json
ADDED
|
@@ -0,0 +1,204 @@
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|
| 1 |
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{
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| 4 |
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|
| 31 |
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| 65 |
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"calibration_metric": "dice_macro",
|
| 66 |
+
"calibration_max_bias": 1.5,
|
| 67 |
+
"calibration_step": 0.25,
|
| 68 |
+
"calibration_passes": 3,
|
| 69 |
+
"patience": 6,
|
| 70 |
+
"tau": 0.0,
|
| 71 |
+
"lws_epochs": 0,
|
| 72 |
+
"lws_lr": 0.01,
|
| 73 |
+
"lws_sampler_power": 0.5,
|
| 74 |
+
"lws_min_scale": 0.75,
|
| 75 |
+
"lws_max_scale": 1.5,
|
| 76 |
+
"ema": false,
|
| 77 |
+
"ema_decay": 0.999,
|
| 78 |
+
"fit_temperature": false
|
| 79 |
+
},
|
| 80 |
+
"environment": {
|
| 81 |
+
"timestamp_utc": "2026-06-23T01:20:42.537188+00:00",
|
| 82 |
+
"cwd": "/marimo",
|
| 83 |
+
"command": [
|
| 84 |
+
"/marimo/code/train_milk10k_effb2_dual_metadata.py",
|
| 85 |
+
"--data-dir",
|
| 86 |
+
"/marimo/milk10k",
|
| 87 |
+
"--backbone",
|
| 88 |
+
"efficientnet_b2",
|
| 89 |
+
"--backbone-backend",
|
| 90 |
+
"auto",
|
| 91 |
+
"--metadata-fusion",
|
| 92 |
+
"concat",
|
| 93 |
+
"--classifier-style",
|
| 94 |
+
"simple",
|
| 95 |
+
"--logit-fusion-mode",
|
| 96 |
+
"single",
|
| 97 |
+
"--loss",
|
| 98 |
+
"ce",
|
| 99 |
+
"--freeze-epochs",
|
| 100 |
+
"0",
|
| 101 |
+
"--finetune-epochs",
|
| 102 |
+
"40",
|
| 103 |
+
"--batch-size",
|
| 104 |
+
"8",
|
| 105 |
+
"--image-size",
|
| 106 |
+
"260",
|
| 107 |
+
"--selection-metric",
|
| 108 |
+
"f1_macro",
|
| 109 |
+
"--patience",
|
| 110 |
+
"6",
|
| 111 |
+
"--num-workers",
|
| 112 |
+
"4",
|
| 113 |
+
"--seed",
|
| 114 |
+
"42",
|
| 115 |
+
"--amp",
|
| 116 |
+
"--output-dir",
|
| 117 |
+
"/marimo/single_encoder_split_runs/singleenc_pool_nometa_clean",
|
| 118 |
+
"--image-fusion",
|
| 119 |
+
"shared_encoder_pool",
|
| 120 |
+
"--disable-metadata"
|
| 121 |
+
],
|
| 122 |
+
"python": "3.13.11 (main, Feb 3 2026, 03:08:54) [GCC 14.2.0]",
|
| 123 |
+
"platform": "Linux-4.4.0-x86_64-with-glibc2.41",
|
| 124 |
+
"executable": "/tmp/uv-venv/bin/python",
|
| 125 |
+
"torch": {
|
| 126 |
+
"version": "2.12.0+cu130",
|
| 127 |
+
"cuda_available": true,
|
| 128 |
+
"cuda_device_count": 1,
|
| 129 |
+
"cuda_device_name": "NVIDIA RTX PRO 6000 Blackwell Server Edition"
|
| 130 |
+
},
|
| 131 |
+
"git": {
|
| 132 |
+
"available": false
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
"class_names": [
|
| 136 |
+
"AKIEC",
|
| 137 |
+
"BCC",
|
| 138 |
+
"BEN_OTH",
|
| 139 |
+
"BKL",
|
| 140 |
+
"DF",
|
| 141 |
+
"INF",
|
| 142 |
+
"MAL_OTH",
|
| 143 |
+
"MEL",
|
| 144 |
+
"NV",
|
| 145 |
+
"SCCKA",
|
| 146 |
+
"VASC"
|
| 147 |
+
],
|
| 148 |
+
"label_to_idx": {
|
| 149 |
+
"AKIEC": 0,
|
| 150 |
+
"BCC": 1,
|
| 151 |
+
"BEN_OTH": 2,
|
| 152 |
+
"BKL": 3,
|
| 153 |
+
"DF": 4,
|
| 154 |
+
"INF": 5,
|
| 155 |
+
"MAL_OTH": 6,
|
| 156 |
+
"MEL": 7,
|
| 157 |
+
"NV": 8,
|
| 158 |
+
"SCCKA": 9,
|
| 159 |
+
"VASC": 10
|
| 160 |
+
},
|
| 161 |
+
"metadata_spec": {
|
| 162 |
+
"sex_values": [
|
| 163 |
+
"female",
|
| 164 |
+
"male",
|
| 165 |
+
"unknown"
|
| 166 |
+
],
|
| 167 |
+
"site_values": [
|
| 168 |
+
"foot",
|
| 169 |
+
"genital",
|
| 170 |
+
"hand",
|
| 171 |
+
"head_neck_face",
|
| 172 |
+
"lower_extremity",
|
| 173 |
+
"trunk",
|
| 174 |
+
"unknown",
|
| 175 |
+
"upper_extremity"
|
| 176 |
+
],
|
| 177 |
+
"monet_columns": [
|
| 178 |
+
"MONET_erythema",
|
| 179 |
+
"MONET_gel_water_drop_fluid_dermoscopy_liquid",
|
| 180 |
+
"MONET_hair",
|
| 181 |
+
"MONET_pigmented",
|
| 182 |
+
"MONET_skin_markings_pen_ink_purple_pen",
|
| 183 |
+
"MONET_ulceration_crust",
|
| 184 |
+
"MONET_vasculature_vessels"
|
| 185 |
+
]
|
| 186 |
+
},
|
| 187 |
+
"model_type": "DualEffB2MetadataClassifier",
|
| 188 |
+
"train_size": 4192,
|
| 189 |
+
"val_size": 1048,
|
| 190 |
+
"fold": null,
|
| 191 |
+
"metadata_fusion": "concat",
|
| 192 |
+
"image_fusion": "shared_encoder_pool",
|
| 193 |
+
"clinical_backbone": "timm efficientnet_b2",
|
| 194 |
+
"dermoscopic_backbone": "timm efficientnet_b2",
|
| 195 |
+
"paths": {
|
| 196 |
+
"output_dir": "/marimo/single_encoder_split_runs/singleenc_pool_nometa_clean",
|
| 197 |
+
"data_dir": "/marimo/milk10k",
|
| 198 |
+
"dermoscopic_mask_dir": "None",
|
| 199 |
+
"clinical_checkpoint": "None",
|
| 200 |
+
"dermoscopic_checkpoint": "None",
|
| 201 |
+
"resume_checkpoint": "None",
|
| 202 |
+
"augmented_data_dir": "None"
|
| 203 |
+
}
|
| 204 |
+
}
|
singleenc_pool_nometa_clean/run_diagnostics.json
ADDED
|
@@ -0,0 +1,803 @@
|
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| 1 |
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| 2 |
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| 3 |
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| 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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| 9 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 24 |
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| 25 |
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| 27 |
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{
|
| 740 |
+
"true": "BKL",
|
| 741 |
+
"predicted": "AKIEC",
|
| 742 |
+
"count": 4,
|
| 743 |
+
"rate_of_true": 0.03669724770642202
|
| 744 |
+
}
|
| 745 |
+
],
|
| 746 |
+
"watched_confusion_patterns": [
|
| 747 |
+
{
|
| 748 |
+
"true": "BCC",
|
| 749 |
+
"predicted": "SCCKA",
|
| 750 |
+
"count": 17,
|
| 751 |
+
"rate_of_true": 0.03373015873015873
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"true": "SCCKA",
|
| 755 |
+
"predicted": "BKL",
|
| 756 |
+
"count": 10,
|
| 757 |
+
"rate_of_true": 0.10526315789473684
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"true": "BCC",
|
| 761 |
+
"predicted": "BKL",
|
| 762 |
+
"count": 8,
|
| 763 |
+
"rate_of_true": 0.015873015873015872
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"true": "AKIEC",
|
| 767 |
+
"predicted": "SCCKA",
|
| 768 |
+
"count": 7,
|
| 769 |
+
"rate_of_true": 0.11475409836065574
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"true": "INF",
|
| 773 |
+
"predicted": "BCC",
|
| 774 |
+
"count": 6,
|
| 775 |
+
"rate_of_true": 0.6
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"true": "BKL",
|
| 779 |
+
"predicted": "SCCKA",
|
| 780 |
+
"count": 5,
|
| 781 |
+
"rate_of_true": 0.045871559633027525
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"true": "SCCKA",
|
| 785 |
+
"predicted": "AKIEC",
|
| 786 |
+
"count": 3,
|
| 787 |
+
"rate_of_true": 0.031578947368421054
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"true": "BCC",
|
| 791 |
+
"predicted": "AKIEC",
|
| 792 |
+
"count": 2,
|
| 793 |
+
"rate_of_true": 0.003968253968253968
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"true": "INF",
|
| 797 |
+
"predicted": "NV",
|
| 798 |
+
"count": 2,
|
| 799 |
+
"rate_of_true": 0.2
|
| 800 |
+
}
|
| 801 |
+
]
|
| 802 |
+
}
|
| 803 |
+
}
|
singleenc_pool_nometa_clean/run_report.md
ADDED
|
@@ -0,0 +1,160 @@
|
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|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
| 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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|
|
|