quantumly commited on
Commit
0e895c4
·
verified ·
1 Parent(s): 4e16c2e

v0.8 fixed wash + ensemble: 2026-04-27

Browse files
Files changed (1) hide show
  1. v0_8_metadata.json +667 -0
v0_8_metadata.json ADDED
@@ -0,0 +1,667 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "trained_at": "2026-04-27T12:00:40.349432+00:00",
3
+ "data_run_date": "2026-04-25",
4
+ "llm_run_date": "2026-04-26",
5
+ "version": "v0.8-fixed-wash-ensemble",
6
+ "description": "v0.7 features + tightened wash detection + dual-tree ensemble + bias correction",
7
+ "parent_version": "v0.7",
8
+ "changes_from_parent": [
9
+ "wash detection: row-level, \u226424h + \u22651.5x price gain",
10
+ "wash detection: dropped wallet concentration heuristic",
11
+ "dual-tree ensemble: tuned XGBoost + tuned LightGBM, log-space mean",
12
+ "val-derived bias correction (val_bias = -0.0781)",
13
+ "4x Optuna budget (120 trials per model)"
14
+ ],
15
+ "splits": {
16
+ "train": {
17
+ "rows": 265240,
18
+ "start": "2022-01-28",
19
+ "end": "2023-09-30"
20
+ },
21
+ "val": {
22
+ "rows": 3545,
23
+ "start": "2023-10-01",
24
+ "end": "2023-12-31"
25
+ },
26
+ "test": {
27
+ "rows": 2744,
28
+ "start": "2024-01-01",
29
+ "end": "2024-05-04"
30
+ }
31
+ },
32
+ "feature_count": 212,
33
+ "feature_cols": [
34
+ "pca_000",
35
+ "pca_001",
36
+ "pca_002",
37
+ "pca_003",
38
+ "pca_004",
39
+ "pca_005",
40
+ "pca_006",
41
+ "pca_007",
42
+ "pca_008",
43
+ "pca_009",
44
+ "pca_010",
45
+ "pca_011",
46
+ "pca_012",
47
+ "pca_013",
48
+ "pca_014",
49
+ "pca_015",
50
+ "pca_016",
51
+ "pca_017",
52
+ "pca_018",
53
+ "pca_019",
54
+ "pca_020",
55
+ "pca_021",
56
+ "pca_022",
57
+ "pca_023",
58
+ "pca_024",
59
+ "pca_025",
60
+ "pca_026",
61
+ "pca_027",
62
+ "pca_028",
63
+ "pca_029",
64
+ "pca_030",
65
+ "pca_031",
66
+ "pca_032",
67
+ "pca_033",
68
+ "pca_034",
69
+ "pca_035",
70
+ "pca_036",
71
+ "pca_037",
72
+ "pca_038",
73
+ "pca_039",
74
+ "pca_040",
75
+ "pca_041",
76
+ "pca_042",
77
+ "pca_043",
78
+ "pca_044",
79
+ "pca_045",
80
+ "pca_046",
81
+ "pca_047",
82
+ "pca_048",
83
+ "pca_049",
84
+ "pca_050",
85
+ "pca_051",
86
+ "pca_052",
87
+ "pca_053",
88
+ "pca_054",
89
+ "pca_055",
90
+ "pca_056",
91
+ "pca_057",
92
+ "pca_058",
93
+ "pca_059",
94
+ "pca_060",
95
+ "pca_061",
96
+ "pca_062",
97
+ "pca_063",
98
+ "len",
99
+ "n_digits",
100
+ "n_letters",
101
+ "n_special",
102
+ "n_lower",
103
+ "n_upper",
104
+ "is_palindrome",
105
+ "is_all_digits",
106
+ "is_all_letters",
107
+ "is_ascii",
108
+ "has_unicode",
109
+ "starts_digit",
110
+ "ends_digit",
111
+ "max_char_run",
112
+ "n_unique_chars",
113
+ "in_wikipedia",
114
+ "in_geonames",
115
+ "in_us_firstname",
116
+ "in_iso3166",
117
+ "in_ticker",
118
+ "in_sec_edgar",
119
+ "in_wiktionary_en",
120
+ "wordlist_hits",
121
+ "club__prepunk_full_rankings",
122
+ "club__firstnames_usa",
123
+ "club__finance_terms",
124
+ "club__social_handles",
125
+ "club__gamertags",
126
+ "club__top_crypto_tickers",
127
+ "club__common_english",
128
+ "club__sports",
129
+ "club__crypto_terms",
130
+ "club__gamertags_double",
131
+ "club__pokemon_gen4",
132
+ "club__fine_art",
133
+ "club__logistics",
134
+ "club__top500_cities_usa",
135
+ "club__natural_wonders",
136
+ "club__familynames_usa",
137
+ "club__top_nouns",
138
+ "club__wikidata_top_fantasy_char",
139
+ "club__holidays",
140
+ "club__us_government",
141
+ "club__top500_cities_global",
142
+ "club__pokemon_gen3",
143
+ "club__common_animals",
144
+ "club__country_codes",
145
+ "club__personas",
146
+ "club__currency_symbols",
147
+ "club__mythical_creatures",
148
+ "club__pokemon_gen1",
149
+ "club__catholicism",
150
+ "club__historic_figures",
151
+ "club__luxury",
152
+ "club__paranormal",
153
+ "club__crayola_classic",
154
+ "club__top_crypto_names",
155
+ "club__performing_arts",
156
+ "club__pokemon_gen2",
157
+ "club__home",
158
+ "club__conspiracy_theories",
159
+ "club__memes",
160
+ "club__us_states",
161
+ "club__currency_names",
162
+ "club__gen_alpha",
163
+ "n_clubs",
164
+ "trademark_conflict",
165
+ "name_age_days",
166
+ "prior_transfer_count",
167
+ "fg_value",
168
+ "eth_tvl_usd",
169
+ "eth_stable_mcap",
170
+ "eth_dex_volume",
171
+ "nft_total_fee_usd",
172
+ "fame_score",
173
+ "crypto_relevance_ord",
174
+ "brand_collision_risk_ord",
175
+ "kind__concept",
176
+ "kind__random",
177
+ "kind__brand",
178
+ "kind__surname",
179
+ "kind__first_name",
180
+ "kind__abbreviation",
181
+ "kind__place",
182
+ "kind__other",
183
+ "kind__unknown",
184
+ "origin__english",
185
+ "origin__none",
186
+ "origin__mixed",
187
+ "origin__spanish",
188
+ "origin__german",
189
+ "origin__french",
190
+ "origin__japanese",
191
+ "origin__chinese",
192
+ "origin__italian",
193
+ "origin__slavic",
194
+ "origin__korean",
195
+ "origin__arabic",
196
+ "origin__other",
197
+ "origin__unknown",
198
+ "desc_pca_000",
199
+ "desc_pca_001",
200
+ "desc_pca_002",
201
+ "desc_pca_003",
202
+ "desc_pca_004",
203
+ "desc_pca_005",
204
+ "desc_pca_006",
205
+ "desc_pca_007",
206
+ "desc_pca_008",
207
+ "desc_pca_009",
208
+ "desc_pca_010",
209
+ "desc_pca_011",
210
+ "desc_pca_012",
211
+ "desc_pca_013",
212
+ "desc_pca_014",
213
+ "desc_pca_015",
214
+ "desc_pca_016",
215
+ "desc_pca_017",
216
+ "desc_pca_018",
217
+ "desc_pca_019",
218
+ "desc_pca_020",
219
+ "desc_pca_021",
220
+ "desc_pca_022",
221
+ "desc_pca_023",
222
+ "desc_pca_024",
223
+ "desc_pca_025",
224
+ "desc_pca_026",
225
+ "desc_pca_027",
226
+ "desc_pca_028",
227
+ "desc_pca_029",
228
+ "desc_pca_030",
229
+ "desc_pca_031",
230
+ "knnmp_count",
231
+ "knnmp_mean_log",
232
+ "knnmp_median_log",
233
+ "knnmp_p90_log",
234
+ "knnmp_max_sim",
235
+ "knnmp_min_sim",
236
+ "knnmp_log_max",
237
+ "knnmp_log_min",
238
+ "knnbg_count",
239
+ "knnbg_mean_log",
240
+ "knnbg_median_log",
241
+ "knnbg_p90_log",
242
+ "knnbg_max_sim",
243
+ "knnbg_min_sim",
244
+ "knnbg_log_max",
245
+ "knnbg_log_min"
246
+ ],
247
+ "pca_dim_concat": 64,
248
+ "pca_dim_description": 32,
249
+ "name_kind_values": [
250
+ "concept",
251
+ "random",
252
+ "brand",
253
+ "surname",
254
+ "first_name",
255
+ "abbreviation",
256
+ "place",
257
+ "other",
258
+ "unknown"
259
+ ],
260
+ "cultural_origin_values": [
261
+ "english",
262
+ "none",
263
+ "mixed",
264
+ "spanish",
265
+ "german",
266
+ "french",
267
+ "japanese",
268
+ "chinese",
269
+ "italian",
270
+ "slavic",
271
+ "korean",
272
+ "arabic",
273
+ "other",
274
+ "unknown"
275
+ ],
276
+ "wash_filtering": {
277
+ "method": "row_level",
278
+ "round_trip_max_hours": 24,
279
+ "round_trip_min_price_gain": 1.5,
280
+ "wash_train_weight": 0.1,
281
+ "n_round_trip_rows": 8236,
282
+ "n_sub_minute_rows": 2612,
283
+ "n_total_flagged_rows": 10733,
284
+ "flag_rate_pct": 3.9528006216647213
285
+ },
286
+ "optuna": {
287
+ "n_trials_per_model": 120,
288
+ "xgb_best_val_rmse": 1.0110926628112793,
289
+ "xgb_best_params": {
290
+ "max_depth": 12,
291
+ "learning_rate": 0.00707952961758631,
292
+ "subsample": 0.82649559352978,
293
+ "colsample_bytree": 0.5076045191428247,
294
+ "colsample_bylevel": 0.4490941323703761,
295
+ "min_child_weight": 25,
296
+ "reg_alpha": 2.1100924086636215,
297
+ "reg_lambda": 6.7085987791616875,
298
+ "gamma": 3.012785755618491
299
+ },
300
+ "xgb_best_trial": 78,
301
+ "lgb_best_val_rmse": 1.0083379004456063,
302
+ "lgb_best_params": {
303
+ "boosting_type": "gbdt",
304
+ "num_leaves": 294,
305
+ "max_depth": 13,
306
+ "learning_rate": 0.007555121763111837,
307
+ "feature_fraction": 0.714483668555124,
308
+ "feature_fraction_bynode": 0.5304393257914843,
309
+ "min_data_in_leaf": 6,
310
+ "lambda_l1": 0.002471118357836334,
311
+ "lambda_l2": 1.776020947969551,
312
+ "min_gain_to_split": 2.2135701585440897,
313
+ "bagging_fraction": 0.9999413018023948,
314
+ "bagging_freq": 7
315
+ },
316
+ "lgb_best_trial": 16
317
+ },
318
+ "xgb_quantile_models": {
319
+ "q05": {
320
+ "best_iteration": 984,
321
+ "best_val_rmse": 1.9671143709945549
322
+ },
323
+ "q50": {
324
+ "best_iteration": 1756,
325
+ "best_val_rmse": 1.0471049311283205
326
+ },
327
+ "q95": {
328
+ "best_iteration": 3964,
329
+ "best_val_rmse": 2.1785484376377413
330
+ }
331
+ },
332
+ "lgb_quantile_models": {
333
+ "q05": {
334
+ "best_iteration": 500
335
+ },
336
+ "q50": {
337
+ "best_iteration": 1465
338
+ },
339
+ "q95": {
340
+ "best_iteration": 1123
341
+ }
342
+ },
343
+ "ensemble": {
344
+ "method": "log_space_mean",
345
+ "members": [
346
+ "xgb_q50",
347
+ "lgb_q50"
348
+ ]
349
+ },
350
+ "bias_correction": {
351
+ "method": "val_derived_constant",
352
+ "val_bias": -0.0781494239191985
353
+ },
354
+ "calibration": {
355
+ "method": "additive",
356
+ "target_coverage": 0.9,
357
+ "delta_lower": 0.14621443811853208,
358
+ "delta_upper": 0.0,
359
+ "val_bias_correction": -0.0781494239191985,
360
+ "ensemble_method": "log_space_mean_xgb_lgb"
361
+ },
362
+ "metrics": {
363
+ "final": {
364
+ "train": {
365
+ "r2_log": 0.7860012517591471,
366
+ "rmse_log": 0.7469926912886737,
367
+ "mae_log": 0.45205338808523504,
368
+ "median_ape": 0.24072927576014078,
369
+ "bias_log": -0.0053798850758574246
370
+ },
371
+ "val": {
372
+ "r2_log": 0.6758550101826879,
373
+ "rmse_log": 1.0429795602982888,
374
+ "mae_log": 0.706429696381903,
375
+ "median_ape": 0.43773059069184295,
376
+ "bias_log": -1.8039166775291682e-16
377
+ },
378
+ "test": {
379
+ "r2_log": 0.47530460716475276,
380
+ "rmse_log": 1.3470754265844747,
381
+ "mae_log": 1.0706065416171697,
382
+ "median_ape": 0.9519209571310361,
383
+ "bias_log": 0.444023565817704
384
+ }
385
+ },
386
+ "coverage": {
387
+ "train": {
388
+ "coverage_90pct": 0.937335997587091,
389
+ "median_interval_log": 2.823927108304763,
390
+ "median_interval_ratio": 16.84286471905812
391
+ },
392
+ "val": {
393
+ "coverage_90pct": 0.8493653032440056,
394
+ "median_interval_log": 3.6384351371935924,
395
+ "median_interval_ratio": 38.03227484212217
396
+ },
397
+ "test": {
398
+ "coverage_90pct": 0.8126822157434402,
399
+ "median_interval_log": 4.143242668045713,
400
+ "median_interval_ratio": 63.00680069124568
401
+ }
402
+ }
403
+ },
404
+ "top_features_xgb": [
405
+ {
406
+ "name": "knnmp_mean_log",
407
+ "gain": 108.798828125
408
+ },
409
+ {
410
+ "name": "knnmp_median_log",
411
+ "gain": 78.58806610107422
412
+ },
413
+ {
414
+ "name": "knnmp_log_min",
415
+ "gain": 72.71774291992188
416
+ },
417
+ {
418
+ "name": "len",
419
+ "gain": 61.729530334472656
420
+ },
421
+ {
422
+ "name": "knnmp_p90_log",
423
+ "gain": 58.61769104003906
424
+ },
425
+ {
426
+ "name": "pca_004",
427
+ "gain": 42.28458786010742
428
+ },
429
+ {
430
+ "name": "knnmp_log_max",
431
+ "gain": 39.73566818237305
432
+ },
433
+ {
434
+ "name": "is_all_digits",
435
+ "gain": 38.88374710083008
436
+ },
437
+ {
438
+ "name": "knnmp_count",
439
+ "gain": 36.54442596435547
440
+ },
441
+ {
442
+ "name": "pca_002",
443
+ "gain": 36.348838806152344
444
+ },
445
+ {
446
+ "name": "kind__random",
447
+ "gain": 34.42299270629883
448
+ },
449
+ {
450
+ "name": "in_wikipedia",
451
+ "gain": 28.338823318481445
452
+ },
453
+ {
454
+ "name": "eth_stable_mcap",
455
+ "gain": 28.019874572753906
456
+ },
457
+ {
458
+ "name": "origin__none",
459
+ "gain": 27.93862533569336
460
+ },
461
+ {
462
+ "name": "n_digits",
463
+ "gain": 26.823389053344727
464
+ },
465
+ {
466
+ "name": "ends_digit",
467
+ "gain": 25.347196578979492
468
+ },
469
+ {
470
+ "name": "n_unique_chars",
471
+ "gain": 25.27269172668457
472
+ },
473
+ {
474
+ "name": "name_age_days",
475
+ "gain": 25.112060546875
476
+ },
477
+ {
478
+ "name": "eth_tvl_usd",
479
+ "gain": 24.409042358398438
480
+ },
481
+ {
482
+ "name": "starts_digit",
483
+ "gain": 23.97994613647461
484
+ },
485
+ {
486
+ "name": "knnbg_count",
487
+ "gain": 23.276514053344727
488
+ },
489
+ {
490
+ "name": "is_palindrome",
491
+ "gain": 22.497846603393555
492
+ },
493
+ {
494
+ "name": "brand_collision_risk_ord",
495
+ "gain": 21.805770874023438
496
+ },
497
+ {
498
+ "name": "origin__chinese",
499
+ "gain": 21.738651275634766
500
+ },
501
+ {
502
+ "name": "n_letters",
503
+ "gain": 20.87726402282715
504
+ },
505
+ {
506
+ "name": "kind__abbreviation",
507
+ "gain": 20.590986251831055
508
+ },
509
+ {
510
+ "name": "pca_001",
511
+ "gain": 20.483781814575195
512
+ },
513
+ {
514
+ "name": "has_unicode",
515
+ "gain": 19.911903381347656
516
+ },
517
+ {
518
+ "name": "nft_total_fee_usd",
519
+ "gain": 19.79189682006836
520
+ },
521
+ {
522
+ "name": "desc_pca_000",
523
+ "gain": 19.757749557495117
524
+ }
525
+ ],
526
+ "top_features_lgb": [
527
+ {
528
+ "name": "knnmp_mean_log",
529
+ "gain": 781449.8409805298
530
+ },
531
+ {
532
+ "name": "eth_stable_mcap",
533
+ "gain": 780319.1262354851
534
+ },
535
+ {
536
+ "name": "name_age_days",
537
+ "gain": 621649.1777780056
538
+ },
539
+ {
540
+ "name": "eth_tvl_usd",
541
+ "gain": 549847.3152387142
542
+ },
543
+ {
544
+ "name": "len",
545
+ "gain": 535403.315526247
546
+ },
547
+ {
548
+ "name": "knnmp_median_log",
549
+ "gain": 476187.2463479042
550
+ },
551
+ {
552
+ "name": "nft_total_fee_usd",
553
+ "gain": 376482.9395339489
554
+ },
555
+ {
556
+ "name": "knnmp_p90_log",
557
+ "gain": 299560.9693763256
558
+ },
559
+ {
560
+ "name": "fg_value",
561
+ "gain": 291222.41970157623
562
+ },
563
+ {
564
+ "name": "n_digits",
565
+ "gain": 200339.19226312637
566
+ },
567
+ {
568
+ "name": "knnmp_count",
569
+ "gain": 198496.79864764214
570
+ },
571
+ {
572
+ "name": "knnmp_log_min",
573
+ "gain": 196220.42209792137
574
+ },
575
+ {
576
+ "name": "eth_dex_volume",
577
+ "gain": 183750.19882249832
578
+ },
579
+ {
580
+ "name": "n_unique_chars",
581
+ "gain": 178599.7514090538
582
+ },
583
+ {
584
+ "name": "knnmp_log_max",
585
+ "gain": 165553.80459403992
586
+ },
587
+ {
588
+ "name": "pca_004",
589
+ "gain": 119861.93015813828
590
+ },
591
+ {
592
+ "name": "desc_pca_000",
593
+ "gain": 114556.08047294617
594
+ },
595
+ {
596
+ "name": "pca_002",
597
+ "gain": 104693.19005703926
598
+ },
599
+ {
600
+ "name": "n_letters",
601
+ "gain": 83801.49758315086
602
+ },
603
+ {
604
+ "name": "pca_001",
605
+ "gain": 82503.51477956772
606
+ },
607
+ {
608
+ "name": "n_special",
609
+ "gain": 70174.17102837563
610
+ },
611
+ {
612
+ "name": "is_palindrome",
613
+ "gain": 64647.565772771835
614
+ },
615
+ {
616
+ "name": "is_all_digits",
617
+ "gain": 56822.11631703377
618
+ },
619
+ {
620
+ "name": "desc_pca_002",
621
+ "gain": 47493.986828804016
622
+ },
623
+ {
624
+ "name": "n_lower",
625
+ "gain": 44417.38100814819
626
+ },
627
+ {
628
+ "name": "max_char_run",
629
+ "gain": 40815.91745662689
630
+ },
631
+ {
632
+ "name": "knnbg_count",
633
+ "gain": 39852.69767045975
634
+ },
635
+ {
636
+ "name": "fame_score",
637
+ "gain": 36314.24634027481
638
+ },
639
+ {
640
+ "name": "pca_005",
641
+ "gain": 34642.322847127914
642
+ },
643
+ {
644
+ "name": "knnmp_min_sim",
645
+ "gain": 34452.339801073074
646
+ }
647
+ ],
648
+ "family_gain_split_xgb": {
649
+ "mpnet_ft_knn": 416.6655960083008,
650
+ "bge_knn": 94.33125257492065,
651
+ "llm_kind": 89.02087259292603,
652
+ "llm_origin": 129.38252782821655,
653
+ "llm_scores": 46.957244873046875,
654
+ "llm_desc": 279.1159596443176,
655
+ "llm_total": 544.4766049385071
656
+ },
657
+ "inference_recipe": {
658
+ "description": "Inference uses 6 models (XGB\u00d73 + LGB\u00d73) + bias + calibration constants",
659
+ "point_estimate": "(xgb_q50.predict() + lgb_q50.predict()) / 2 - val_bias",
660
+ "uncalibrated_low": "(xgb_q05.predict() + lgb_q05.predict()) / 2 - val_bias",
661
+ "uncalibrated_high": "(xgb_q95.predict() + lgb_q95.predict()) / 2 - val_bias",
662
+ "calibrated_low": "uncalibrated_low - delta_lower",
663
+ "calibrated_high": "uncalibrated_high + delta_upper",
664
+ "output_usd": "np.exp(final)"
665
+ },
666
+ "wandb_run": "https://wandb.ai/quantumly-aletheia-research/ens-appraiser/runs/d3y6y5c6"
667
+ }