ce_loco LOCO run m3_US

exp26/ce_loco/runs/m3_US/calibrator.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed355d2c4306b7923f7eb45f6d66373b6fd4ba32a3faa0106277364012be3080
+size 3358

exp26/ce_loco/runs/m3_US/features.json

@@ -0,0 +1,132 @@
+{
+ "features": [
+  "n_ratio",
+  "n_partial",
+  "n_tsort",
+  "n_tset",
+  "n_wratio",
+  "n_jw",
+  "n_lev",
+  "n_sp_ratio",
+  "n_alt_best",
+  "n_jac",
+  "n_idf_jac",
+  "n_max_idf_shared",
+  "n_shared",
+  "n_ntok_s1",
+  "n_ntok_pool",
+  "n_ntok_delta",
+  "n_legal3",
+  "n_first_eq",
+  "n_pfirst_in_s1",
+  "n_s1first_in_pool",
+  "a_jac",
+  "a_idf_jac",
+  "a_max_idf_shared",
+  "a_tset",
+  "a_stno3",
+  "a_num_jac",
+  "a_s1stno_in_pool",
+  "a_city3",
+  "a_loc_overlap",
+  "a_city_in_pool",
+  "a_state3",
+  "a_district3",
+  "a_pool_empty",
+  "a_ntok_s1",
+  "a_ntok_pool",
+  "a_ntok_delta",
+  "a_street_ratio",
+  "x_s1name_paddr",
+  "x_pname_s1addr",
+  "p_is_domain",
+  "p_has_indic",
+  "p_translit_unknown",
+  "s1_name_freq",
+  "s1_addr_freq",
+  "pool_name_freq",
+  "log_s1_name_freq",
+  "log_s1_addr_freq",
+  "log_pool_name_freq",
+  "sim_name",
+  "sim_nameaddr",
+  "sim_addr",
+  "sim_word",
+  "sim_e5_full",
+  "sim_e5_name",
+  "sim_bm25_word",
+  "sim_bm25_word_norm",
+  "sim_ce",
+  "sim_ce_rank",
+  "sim_ce_gap",
+  "from_reverse",
+  "is_s2",
+  "c_base",
+  "c_s1_rank",
+  "c_s1_gap",
+  "c_s1_margin",
+  "c_s1_n70",
+  "c_s1_n",
+  "c_p_n",
+  "c_p_n_rel",
+  "c_p_rank",
+  "c_p_gap",
+  "c_p_margin",
+  "country"
+ ],
+ "categorical": [
+  "country"
+ ],
+ "models": [
+  "model_fold0.txt",
+  "model_fold1.txt",
+  "model_fold2.txt",
+  "model_fold3.txt",
+  "model_fold4.txt"
+ ],
+ "calibrator": "calibrator.pkl",
+ "learner": "lgb",
+ "freq_rate": "1",
+ "decode": {
+  "min_prob": 0.0,
+  "max_k": null,
+  "threshold_oof": 0.7
+ },
+ "variant": "loco:us",
+ "holdout_country": "us",
+ "train_config": {
+  "cands": "/w/cands_m3-India.parquet",
+  "norm_dir": "/w/norm",
+  "pairs": "/w/exp26/ce_loco/data/pairs.parquet",
+  "gt": "/w/exp26/ce_loco/data/gt.parquet",
+  "out_dir": "/w/out/m3_US",
+  "s1_table": "s1",
+  "pool_tables": "s2,s3",
+  "max_s1": 300000,
+  "holdout_country": "US",
+  "folds": 5,
+  "fold_seed": 2026,
+  "folds_file": "/w/exp26/ce_loco/data/folds.parquet",
+  "pair_audit": null,
+  "eval_universe": "cands",
+  "learner": "lgb",
+  "exclude_s1": null,
+  "neg_ratio": 0.0,
+  "hard_neg_rank": 3,
+  "inner_val_frac": 0.1,
+  "drop_features": "",
+  "refit": false,
+  "workers": 14,
+  "task_rows": 50000,
+  "lr": 0.05,
+  "leaves": 127,
+  "min_data_in_leaf": 200,
+  "feature_fraction": 0.8,
+  "rounds": 3000,
+  "early_stop": 100,
+  "log_period": 100,
+  "min_prob": 0.0,
+  "max_k": null,
+  "seed": 0
+ }
+}

exp26/ce_loco/runs/m3_US/folds.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab4f5bd6ae149ab9e661dd0c18b2638394a1fdb69a3e0014a2c2faf87a384467
+size 9856056

exp26/ce_loco/runs/m3_US/importance.csv

@@ -0,0 +1,74 @@
+feature,gain,split,gain_pct
+sim_ce,13863604.029917309,1549.6,87.11785435816289
+c_p_margin,1114954.9569035699,787.8,7.006293842627611
+c_p_rank,436346.42726982775,137.8,2.7419684245572253
+sim_ce_gap,148565.51213249605,846.2,0.9335746044588862
+c_p_gap,126457.92441660515,241.0,0.7946521711084307
+sim_bm25_word,65021.8736828208,1164.0,0.40859260761998506
+sim_ce_rank,18045.90511368774,553.4,0.11339912262806112
+a_ntok_pool,10211.813024317473,145.4,0.06417027187630854
+a_state3,9617.256245660781,2.6,0.06043412139632537
+sim_e5_full,9573.657716764976,1406.2,0.06016015149049291
+a_tset,9255.560365627705,291.6,0.058161251446298606
+pool_name_freq,7227.089436642802,938.2,0.04541449132679971
+n_max_idf_shared,6879.596289409883,960.6,0.0432308702910453
+s1_name_freq,5417.161874074489,629.6,0.034041041432069014
+sim_e5_name,5166.535154317226,1157.8,0.03246612180633822
+sim_bm25_word_norm,4707.629393383768,1084.6,0.029582392210567198
+s1_addr_freq,4566.643088868261,247.4,0.028696444781834207
+a_num_jac,4396.777036421746,199.8,0.0276290191697425
+c_p_n,4272.137573315204,661.8,0.026845794073961968
+log_pool_name_freq,3919.1923287583513,216.8,0.024627912465012593
+a_max_idf_shared,3409.9979320352895,410.6,0.021428172830355925
+x_pname_s1addr,3279.44698124202,903.0,0.020607800386582685
+c_base,3237.995446965471,346.8,0.02034732203490487
+n_legal3,3163.3871298357844,259.6,0.019878488931219462
+c_s1_rank,2871.5350300062446,572.8,0.018044512089973406
+a_jac,2661.383017159719,277.6,0.01672393250556446
+c_s1_n70,2503.7380700693698,700.6,0.015733303408593687
+n_jw,2184.2845590723678,277.4,0.013725881356926319
+c_s1_margin,2065.66594671309,310.0,0.012980490838459197
+n_ntok_delta,2010.8443606197834,75.0,0.0126359960777423
+c_s1_gap,1926.3247632937505,349.8,0.012104881228070427
+a_idf_jac,1897.8857543380932,236.2,0.011926172615580993
+a_ntok_delta,1735.880190322548,417.2,0.010908141726884119
+n_idf_jac,1607.3757641240954,278.8,0.010100629491120785
+n_partial,1481.8923869229852,213.4,0.009312101302073689
+n_tsort,1481.3297945521772,221.8,0.009308566013550061
+n_lev,1470.3928310111164,239.4,0.009239838949877835
+c_s1_n,1390.2822529822588,393.2,0.008736430048829765
+n_wratio,1360.8179435953498,181.6,0.008551278524854227
+n_sp_ratio,1355.535561871715,204.6,0.008518084431841273
+n_ratio,1335.4819365933538,142.2,0.008392068945349924
+a_ntok_s1,1291.3030325727536,375.4,0.008114452005493279
+x_s1name_paddr,1209.2288138417528,295.8,0.007598703732638865
+log_s1_name_freq,870.8025149785914,105.2,0.005472058096214925
+n_tset,866.2594519689679,164.0,0.005443509826893453
+log_s1_addr_freq,820.6348198533058,49.6,0.005156808039449173
+a_loc_overlap,697.1150633752346,114.8,0.004380619096661218
+c_p_n_rel,693.0321471504867,152.0,0.004354962355437465
+a_stno3,610.8066150978208,65.4,0.0038382632409483058
+is_s2,522.2748119935393,123.2,0.0032819359892278634
+n_ntok_pool,513.7419349670411,71.0,0.003228316026017257
+a_s1stno_in_pool,513.0508999705314,50.0,0.0032239736136075825
+n_jac,507.1646417886019,45.8,0.0031869848059424707
+n_shared,327.6387556910515,62.6,0.0020588575192126996
+n_first_eq,276.21419155597687,32.2,0.0017357093912739822
+a_street_ratio,225.9752995595336,55.2,0.0014200119386767497
+n_s1first_in_pool,212.93062250614167,22.0,0.0013380401603978625
+n_ntok_s1,199.09207621216774,54.4,0.0012510797669846134
+p_has_indic,176.34698699712754,35.2,0.0011081513217316144
+p_is_domain,152.2791112422943,21.6,0.0009569105844604687
+a_city3,145.4851284623146,31.8,0.0009142177030812196
+n_pfirst_in_s1,77.7318959236145,6.8,0.0004884614400010179
+a_city_in_pool,67.54113788604737,15.4,0.0004244234760920511
+p_translit_unknown,3.8894798278808596,0.2,2.4441201324209936e-05
+n_alt_best,0.0,0.0,0.0
+a_district3,0.0,0.0,0.0
+a_pool_empty,0.0,0.0,0.0
+sim_word,0.0,0.0,0.0
+sim_name,0.0,0.0,0.0
+sim_addr,0.0,0.0,0.0
+sim_nameaddr,0.0,0.0,0.0
+from_reverse,0.0,0.0,0.0
+country,0.0,0.0,0.0

exp26/ce_loco/runs/m3_US/metrics.json

@@ -0,0 +1,668 @@
+{
+ "config": {
+  "cands": "/w/cands_m3-India.parquet",
+  "norm_dir": "/w/norm",
+  "pairs": "/w/exp26/ce_loco/data/pairs.parquet",
+  "gt": "/w/exp26/ce_loco/data/gt.parquet",
+  "out_dir": "/w/out/m3_US",
+  "s1_table": "s1",
+  "pool_tables": "s2,s3",
+  "max_s1": 300000,
+  "holdout_country": "US",
+  "folds": 5,
+  "fold_seed": 2026,
+  "folds_file": "/w/exp26/ce_loco/data/folds.parquet",
+  "pair_audit": null,
+  "eval_universe": "cands",
+  "learner": "lgb",
+  "exclude_s1": null,
+  "neg_ratio": 0.0,
+  "hard_neg_rank": 3,
+  "inner_val_frac": 0.1,
+  "drop_features": "",
+  "refit": false,
+  "workers": 14,
+  "task_rows": 50000,
+  "lr": 0.05,
+  "leaves": 127,
+  "min_data_in_leaf": 200,
+  "feature_fraction": 0.8,
+  "rounds": 3000,
+  "early_stop": 100,
+  "log_period": 100,
+  "min_prob": 0.0,
+  "max_k": null,
+  "seed": 0
+ },
+ "universe_mode": "cands",
+ "n_eval_s1": 300000,
+ "eval_s1_by_country": {
+  "india": 120228,
+  "us": 179772
+ },
+ "n_rows": 10827771,
+ "n_pos": 1009021,
+ "folds": 5,
+ "fold_seed": 2026,
+ "folds_file": "/w/exp26/ce_loco/data/folds.parquet",
+ "results": {
+  "loco:us": {
+   "variant": "loco:us",
+   "protocol": "train ['india'] only (5 fold models averaged, isotonic fit on their OOF), score all 179,772 evaluated S1 ids of us (unseen category, nothing tuned on it)",
+   "n_s1": 179772,
+   "n_rows": 6364277,
+   "blocking_pair_recall": 0.9761096041768044,
+   "pair_cal": {
+    "n": 6364277,
+    "pos": 607801,
+    "auc": 0.9987888648971345,
+    "logloss": 0.03316731163753256
+   },
+   "pair_raw": {
+    "n": 6364277,
+    "pos": 607801,
+    "auc": 0.9992453714018583,
+    "logloss": 0.03336720304134548
+   },
+   "macro_f05": 0.9250753483913405,
+   "n_s1_with_cands": 179772,
+   "expected_f05_mean_with_cands": 0.9791624812185904,
+   "realised_f05_mean_with_cands": 0.9250753483913405,
+   "expected_f05_mean_all": 0.9791624812185904,
+   "macro_f05_no_one_parent": 0.9249938034893966,
+   "macro_f05_raw_probs": 0.9221463799022253,
+   "threshold_oof": 0.7,
+   "macro_f05_threshold_oof": 0.9262337527899765,
+   "per_source": {
+    "S2": {
+     "pairs_true": 300881,
+     "pairs_pred": 302954,
+     "tp": 283534,
+     "precision": 0.9358978590809166,
+     "recall": 0.94234597731329,
+     "f05": 0.9371804135263043,
+     "blocking_recall": 0.9720288087316913
+    },
+    "S3": {
+     "pairs_true": 321796,
+     "pairs_pred": 321621,
+     "tp": 304183,
+     "precision": 0.9457809036101499,
+     "recall": 0.9452665663961018,
+     "f05": 0.9456779913945333,
+     "blocking_recall": 0.9799251699834678
+    }
+   },
+   "noise": [],
+   "breakdown": [
+    {
+     "dimension": "overall",
+     "slice": "all",
+     "n": 179772,
+     "share": 1.0,
+     "macro_f05": 0.9250753483913405,
+     "mean_precision": 0.9303323655441283,
+     "mean_recall": 0.9451311482880062,
+     "n_singleton": 9975,
+     "singleton_acc": 0.6557393483709273,
+     "pred_empty_rate": 0.03898271143448368,
+     "mean_n_pred": 3.4742618427786307,
+     "mean_n_true": 3.463704025098458,
+     "loss_share": 1.0
+    },
+    {
+     "dimension": "group",
+     "slice": "us",
+     "n": 179772,
+     "share": 1.0,
+     "macro_f05": 0.9250753483913405,
+     "mean_precision": 0.9303323655441283,
+     "mean_recall": 0.9451311482880062,
+     "n_singleton": 9975,
+     "singleton_acc": 0.6557393483709273,
+     "pred_empty_rate": 0.03898271143448368,
+     "mean_n_pred": 3.4742618427786307,
+     "mean_n_true": 3.463704025098458,
+     "loss_share": 1.0
+    },
+    {
+     "dimension": "true_count",
+     "slice": "0",
+     "n": 9975,
+     "share": 0.05548695013684,
+     "macro_f05": 0.6557393483709273,
+     "mean_precision": 0.0,
+     "mean_recall": null,
+     "n_singleton": 9975,
+     "singleton_acc": 0.6557393483709273,
+     "pred_empty_rate": 0.6557393483709273,
+     "mean_n_pred": 0.39458646616541354,
+     "mean_n_true": 0.0,
+     "loss_share": 0.2549491148893206
+    },
+    {
+     "dimension": "true_count",
+     "slice": "1",
+     "n": 9814,
+     "share": 0.054591371292526086,
+     "macro_f05": 0.8494586319841957,
+     "mean_precision": 0.8711770943796395,
+     "mean_recall": 0.9491542694110454,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.03912777664560831,
+     "mean_n_pred": 1.187894844100265,
+     "mean_n_true": 1.0,
+     "loss_share": 0.10968699272918303
+    },
+    {
+     "dimension": "true_count",
+     "slice": "2",
+     "n": 30646,
+     "share": 0.1704714861046214,
+     "macro_f05": 0.9210346818517542,
+     "mean_precision": 0.926210956663941,
+     "mean_recall": 0.949879266462181,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.0023167786986882464,
+     "mean_n_pred": 2.1086928147229655,
+     "mean_n_true": 2.0,
+     "loss_share": 0.1796649680236874
+    },
+    {
+     "dimension": "true_count",
+     "slice": "3",
+     "n": 42971,
+     "share": 0.239030549807534,
+     "macro_f05": 0.9431079395791908,
+     "mean_precision": 0.9494514532222272,
+     "mean_recall": 0.9467237594346575,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.00020944357822717647,
+     "mean_n_pred": 3.0311838216471574,
+     "mean_n_true": 3.0,
+     "loss_share": 0.18150155109293573
+    },
+    {
+     "dimension": "true_count",
+     "slice": "4",
+     "n": 39525,
+     "share": 0.21986182497830586,
+     "macro_f05": 0.9525510526791361,
+     "mean_precision": 0.9604061993199688,
+     "mean_recall": 0.9432511068943706,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 7.590132827324479e-05,
+     "mean_n_pred": 3.959595192915876,
+     "mean_n_true": 4.0,
+     "loss_share": 0.13923604484346952
+    },
+    {
+     "dimension": "true_count",
+     "slice": "5+",
+     "n": 46841,
+     "share": 0.26055781768017267,
+     "macro_f05": 0.9611912219612324,
+     "mean_precision": 0.9702255216158635,
+     "mean_recall": 0.9413071223755239,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.0,
+     "mean_n_pred": 5.4994983027689415,
+     "mean_n_true": 5.648000683162187,
+     "loss_share": 0.13496132842140365
+    }
+   ],
+   "threshold_sweep": {
+    "0.3": 0.9016424584508039,
+    "0.35": 0.9062029239745933,
+    "0.4": 0.91009822413586,
+    "0.45": 0.9113124588280158,
+    "0.5": 0.9134973373376395,
+    "0.55": 0.9175479980099347,
+    "0.6": 0.9220609137531032,
+    "0.65": 0.9225520257972013,
+    "0.7": 0.9262337527899765,
+    "0.75": 0.9279780906019721,
+    "0.8": 0.9298079774459703,
+    "0.85": 0.9319641229555281,
+    "0.9": 0.933843074924104
+   },
+   "threshold_sweep_best": 0.9
+  },
+  "loco:us/train_oof": {
+   "variant": "loco:us/train_oof",
+   "protocol": "OOF on the training countries ['india']",
+   "n_s1": 120228,
+   "n_rows": 4463494,
+   "blocking_pair_recall": 0.962093672367323,
+   "pair_cal": {
+    "n": 4463494,
+    "pos": 401220,
+    "auc": 0.999989125674976,
+    "logloss": 0.0022088976176780338
+   },
+   "pair_raw": {
+    "n": 4463494,
+    "pos": 401220,
+    "auc": 0.9999881791278962,
+    "logloss": 0.0022486857108210507
+   },
+   "macro_f05": 0.9836399712173586,
+   "n_s1_with_cands": 120228,
+   "expected_f05_mean_with_cands": 0.9957120856552137,
+   "realised_f05_mean_with_cands": 0.9836399712173586,
+   "expected_f05_mean_all": 0.9957120856552137,
+   "macro_f05_no_one_parent": 0.9836177469827773,
+   "macro_f05_raw_probs": 0.9836250990651288,
+   "per_source": {
+    "S2": {
+     "pairs_true": 201294,
+     "pairs_pred": 191891,
+     "tp": 191699,
+     "precision": 0.9989994319691908,
+     "recall": 0.9523334028833448,
+     "f05": 0.9893039021198152,
+     "blocking_recall": 0.9607986328454897
+    },
+    "S3": {
+     "pairs_true": 215734,
+     "pairs_pred": 205619,
+     "tp": 205362,
+     "precision": 0.9987501155048901,
+     "recall": 0.9519222746530449,
+     "f05": 0.989019562516254,
+     "blocking_recall": 0.96330202935096
+    }
+   },
+   "noise": [],
+   "breakdown": [
+    {
+     "dimension": "overall",
+     "slice": "all",
+     "n": 120228,
+     "share": 1.0,
+     "macro_f05": 0.9836399712173586,
+     "mean_precision": 0.9985772303830585,
+     "mean_recall": 0.9526184931710531,
+     "n_singleton": 6729,
+     "singleton_acc": 0.9924208649130629,
+     "pred_empty_rate": 0.05893801776624413,
+     "mean_n_pred": 3.3063013607479124,
+     "mean_n_true": 3.4686429118009117,
+     "loss_share": 1.0
+    },
+    {
+     "dimension": "group",
+     "slice": "india",
+     "n": 120228,
+     "share": 1.0,
+     "macro_f05": 0.9836399712173586,
+     "mean_precision": 0.9985772303830585,
+     "mean_recall": 0.9526184931710531,
+     "n_singleton": 6729,
+     "singleton_acc": 0.9924208649130629,
+     "pred_empty_rate": 0.05893801776624413,
+     "mean_n_pred": 3.3063013607479124,
+     "mean_n_true": 3.4686429118009117,
+     "loss_share": 1.0
+    },
+    {
+     "dimension": "true_count",
+     "slice": "0",
+     "n": 6729,
+     "share": 0.05596865954686096,
+     "macro_f05": 0.9924208649130629,
+     "mean_precision": 0.0,
+     "mean_recall": null,
+     "n_singleton": 6729,
+     "singleton_acc": 0.9924208649130629,
+     "pred_empty_rate": 0.9924208649130629,
+     "mean_n_pred": 0.008024966562639322,
+     "mean_n_true": 0.0,
+     "loss_share": 0.025928684904915136
+    },
+    {
+     "dimension": "true_count",
+     "slice": "1",
+     "n": 6529,
+     "share": 0.054305153541604284,
+     "macro_f05": 0.9524082561301124,
+     "mean_precision": 0.9965266645292296,
+     "mean_recall": 0.9548169704395773,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.04457037831214581,
+     "mean_n_pred": 0.9609434829223464,
+     "mean_n_true": 1.0,
+     "loss_share": 0.15797508626079934
+    },
+    {
+     "dimension": "true_count",
+     "slice": "2",
+     "n": 20296,
+     "share": 0.1688125894134478,
+     "macro_f05": 0.9808082443330768,
+     "mean_precision": 0.9985159534998763,
+     "mean_recall": 0.9540057154119038,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.0039909341742215216,
+     "mean_n_pred": 1.9121994481671265,
+     "mean_n_true": 2.0,
+     "loss_share": 0.19803204582140205
+    },
+    {
+     "dimension": "true_count",
+     "slice": "3",
+     "n": 28752,
+     "share": 0.23914562331570016,
+     "macro_f05": 0.9851413843190279,
+     "mean_precision": 0.9990752987585567,
+     "mean_recall": 0.9540553700612131,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.000765164162493044,
+     "mean_n_pred": 2.865748469671675,
+     "mean_n_true": 3.0,
+     "loss_share": 0.217198450922334
+    },
+    {
+     "dimension": "true_count",
+     "slice": "4",
+     "n": 26257,
+     "share": 0.2183933859001231,
+     "macro_f05": 0.9857688743319243,
+     "mean_precision": 0.9992698412698413,
+     "mean_recall": 0.9512510949461096,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.00026659557451346307,
+     "mean_n_pred": 3.8084320371710403,
+     "mean_n_true": 4.0,
+     "loss_share": 0.18997422077392068
+    },
+    {
+     "dimension": "true_count",
+     "slice": "5+",
+     "n": 31665,
+     "share": 0.2633745882822637,
+     "macro_f05": 0.9869000604133564,
+     "mean_precision": 0.9996027860256492,
+     "mean_recall": 0.9511052062662674,
+     "n_singleton": 0,
+     "singleton_acc": null,
+     "pred_empty_rate": 0.00022106426654034422,
+     "mean_n_pred": 5.368008842570662,
+     "mean_n_true": 5.641023211747987,
+     "loss_share": 0.21089151131662875
+    }
+   ]
+  },
+  "loco:us/oracle_calibration": {
+   "variant": "loco:us/oracle_calibration",
+   "macro_f05": 0.9421150572431803,
+   "protocol": "DIAGNOSTIC ONLY: isotonic fit on us labels (not allowed for tuning)"
+  }
+ },
+ "best_iterations": [
+  192,
+  202,
+  196,
+  222,
+  196
+ ],
+ "headline": "loco:us",
+ "importance_top": [
+  {
+   "feature": "sim_ce",
+   "gain": 13863604.029917309,
+   "split": 1549.6,
+   "gain_pct": 87.11785435816289
+  },
+  {
+   "feature": "c_p_margin",
+   "gain": 1114954.9569035699,
+   "split": 787.8,
+   "gain_pct": 7.006293842627611
+  },
+  {
+   "feature": "c_p_rank",
+   "gain": 436346.42726982775,
+   "split": 137.8,
+   "gain_pct": 2.7419684245572253
+  },
+  {
+   "feature": "sim_ce_gap",
+   "gain": 148565.51213249605,
+   "split": 846.2,
+   "gain_pct": 0.9335746044588862
+  },
+  {
+   "feature": "c_p_gap",
+   "gain": 126457.92441660515,
+   "split": 241.0,
+   "gain_pct": 0.7946521711084307
+  },
+  {
+   "feature": "sim_bm25_word",
+   "gain": 65021.8736828208,
+   "split": 1164.0,
+   "gain_pct": 0.40859260761998506
+  },
+  {
+   "feature": "sim_ce_rank",
+   "gain": 18045.90511368774,
+   "split": 553.4,
+   "gain_pct": 0.11339912262806112
+  },
+  {
+   "feature": "a_ntok_pool",
+   "gain": 10211.813024317473,
+   "split": 145.4,
+   "gain_pct": 0.06417027187630854
+  },
+  {
+   "feature": "a_state3",
+   "gain": 9617.256245660781,
+   "split": 2.6,
+   "gain_pct": 0.06043412139632537
+  },
+  {
+   "feature": "sim_e5_full",
+   "gain": 9573.657716764976,
+   "split": 1406.2,
+   "gain_pct": 0.06016015149049291
+  },
+  {
+   "feature": "a_tset",
+   "gain": 9255.560365627705,
+   "split": 291.6,
+   "gain_pct": 0.058161251446298606
+  },
+  {
+   "feature": "pool_name_freq",
+   "gain": 7227.089436642802,
+   "split": 938.2,
+   "gain_pct": 0.04541449132679971
+  },
+  {
+   "feature": "n_max_idf_shared",
+   "gain": 6879.596289409883,
+   "split": 960.6,
+   "gain_pct": 0.0432308702910453
+  },
+  {
+   "feature": "s1_name_freq",
+   "gain": 5417.161874074489,
+   "split": 629.6,
+   "gain_pct": 0.034041041432069014
+  },
+  {
+   "feature": "sim_e5_name",
+   "gain": 5166.535154317226,
+   "split": 1157.8,
+   "gain_pct": 0.03246612180633822
+  },
+  {
+   "feature": "sim_bm25_word_norm",
+   "gain": 4707.629393383768,
+   "split": 1084.6,
+   "gain_pct": 0.029582392210567198
+  },
+  {
+   "feature": "s1_addr_freq",
+   "gain": 4566.643088868261,
+   "split": 247.4,
+   "gain_pct": 0.028696444781834207
+  },
+  {
+   "feature": "a_num_jac",
+   "gain": 4396.777036421746,
+   "split": 199.8,
+   "gain_pct": 0.0276290191697425
+  },
+  {
+   "feature": "c_p_n",
+   "gain": 4272.137573315204,
+   "split": 661.8,
+   "gain_pct": 0.026845794073961968
+  },
+  {
+   "feature": "log_pool_name_freq",
+   "gain": 3919.1923287583513,
+   "split": 216.8,
+   "gain_pct": 0.024627912465012593
+  },
+  {
+   "feature": "a_max_idf_shared",
+   "gain": 3409.9979320352895,
+   "split": 410.6,
+   "gain_pct": 0.021428172830355925
+  },
+  {
+   "feature": "x_pname_s1addr",
+   "gain": 3279.44698124202,
+   "split": 903.0,
+   "gain_pct": 0.020607800386582685
+  },
+  {
+   "feature": "c_base",
+   "gain": 3237.995446965471,
+   "split": 346.8,
+   "gain_pct": 0.02034732203490487
+  },
+  {
+   "feature": "n_legal3",
+   "gain": 3163.3871298357844,
+   "split": 259.6,
+   "gain_pct": 0.019878488931219462
+  },
+  {
+   "feature": "c_s1_rank",
+   "gain": 2871.5350300062446,
+   "split": 572.8,
+   "gain_pct": 0.018044512089973406
+  },
+  {
+   "feature": "a_jac",
+   "gain": 2661.383017159719,
+   "split": 277.6,
+   "gain_pct": 0.01672393250556446
+  },
+  {
+   "feature": "c_s1_n70",
+   "gain": 2503.7380700693698,
+   "split": 700.6,
+   "gain_pct": 0.015733303408593687
+  },
+  {
+   "feature": "n_jw",
+   "gain": 2184.2845590723678,
+   "split": 277.4,
+   "gain_pct": 0.013725881356926319
+  },
+  {
+   "feature": "c_s1_margin",
+   "gain": 2065.66594671309,
+   "split": 310.0,
+   "gain_pct": 0.012980490838459197
+  },
+  {
+   "feature": "n_ntok_delta",
+   "gain": 2010.8443606197834,
+   "split": 75.0,
+   "gain_pct": 0.0126359960777423
+  },
+  {
+   "feature": "c_s1_gap",
+   "gain": 1926.3247632937505,
+   "split": 349.8,
+   "gain_pct": 0.012104881228070427
+  },
+  {
+   "feature": "a_idf_jac",
+   "gain": 1897.8857543380932,
+   "split": 236.2,
+   "gain_pct": 0.011926172615580993
+  },
+  {
+   "feature": "a_ntok_delta",
+   "gain": 1735.880190322548,
+   "split": 417.2,
+   "gain_pct": 0.010908141726884119
+  },
+  {
+   "feature": "n_idf_jac",
+   "gain": 1607.3757641240954,
+   "split": 278.8,
+   "gain_pct": 0.010100629491120785
+  },
+  {
+   "feature": "n_partial",
+   "gain": 1481.8923869229852,
+   "split": 213.4,
+   "gain_pct": 0.009312101302073689
+  },
+  {
+   "feature": "n_tsort",
+   "gain": 1481.3297945521772,
+   "split": 221.8,
+   "gain_pct": 0.009308566013550061
+  },
+  {
+   "feature": "n_lev",
+   "gain": 1470.3928310111164,
+   "split": 239.4,
+   "gain_pct": 0.009239838949877835
+  },
+  {
+   "feature": "c_s1_n",
+   "gain": 1390.2822529822588,
+   "split": 393.2,
+   "gain_pct": 0.008736430048829765
+  },
+  {
+   "feature": "n_wratio",
+   "gain": 1360.8179435953498,
+   "split": 181.6,
+   "gain_pct": 0.008551278524854227
+  },
+  {
+   "feature": "n_sp_ratio",
+   "gain": 1355.535561871715,
+   "split": 204.6,
+   "gain_pct": 0.008518084431841273
+  }
+ ],
+ "timings_s": {
+  "load": 7.4,
+  "features": 259.6,
+  "train": 163.6,
+  "eval": 70.5,
+  "total": 511.4
+ }
+}

exp26/ce_loco/runs/m3_US/oof.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26938d3018bbea9cb4789c1dba67b2d7db6f337395af994d4748e218d8f5e2a9
+size 105739509

exp26/ce_loco/runs/m3_US/run.log

@@ -0,0 +1,145 @@
+[     3.9s rss=17.70GB] loaded: cands 79,652,854 rows, S1 2,206,821, pool 10,320,219, gt 2,206,821
+[     7.4s rss=16.96GB] folds: reused /w/exp26/ce_loco/data/folds.parquet (5 folds)
+[     9.8s rss=20.65GB] S1 universe: 2,206,821 ids (cands; candidates cover 100.0% of the 2,206,821 gt S1 ids in countries ['india', 'us'])
+[     9.9s rss=20.07GB] evaluated S1 ids: 300,000 {'india': 120228, 'us': 179772}
+[    31.3s rss=31.45GB] build_features: 79,652,854 candidate rows (10,827,771 featurised, 68,825,083 base-only), S1 table 2,206,821, pool table 10,320,219, workers 14
+[    41.1s rss=33.19GB]    packed tables: S1 456 MB, pool 2170 MB (9.8s)
+[    71.7s rss=35.65GB]    pair features: 7,850,000/79,652,854 rows, 259,579 rows/s (18,541/worker), eta 277s
+[   101.8s rss=36.59GB]    pair features: 23,777,771/79,652,854 rows, 394,121 rows/s (28,151/worker), eta 142s
+[   131.8s rss=36.59GB]    pair features: 42,527,771/79,652,854 rows, 470,779 rows/s (33,627/worker), eta 79s
+[   161.8s rss=36.59GB]    pair features: 64,127,771/79,652,854 rows, 532,740 rows/s (38,053/worker), eta 29s
+[   183.0s rss=36.59GB]    pair features: 79,652,854/79,652,854 rows, 562,783 rows/s (40,199/worker), eta 0s
+[   183.7s rss=32.69GB]    pair pass: 79,652,854 rows in 142.3s (560,627 rows/s overall)
+[   269.4s rss=36.90GB]    features assembled: 10,827,771 rows x 73 features (3.12 GB float32), parent-side 85.6s, total 259.5s
+[   272.8s rss=14.34GB] labels: 1,009,021 positive of 10,827,771 rows (0.0932); gt pairs of evaluated S1: 1,039,705
+[   275.4s rss=11.24GB] fold 1/5: fit 3,216,154 rows, early-stop 356,415, predict 890,925
+[100]	val's binary_logloss: 0.00337916
+[200]	val's binary_logloss: 0.00228717
+[   299.1s rss=12.64GB]    trained on 3,216,154 rows: best_iter=192, val logloss=0.00228 (23s)
+[predict] 890,925/890,925 rows scored, 1,110,064 rows/s, eta 0s
+[predict] 2,000,000/6,364,277 rows scored, 1,079,486 rows/s, eta 4s
+[predict] 4,000,000/6,364,277 rows scored, 1,051,877 rows/s, eta 2s
+[predict] 6,000,000/6,364,277 rows scored, 1,047,086 rows/s, eta 0s
+[predict] 6,364,277/6,364,277 rows scored, 1,057,855 rows/s, eta 0s
+[   306.4s rss=11.62GB] fold 2/5: fit 3,218,433 rows, early-stop 356,620, predict 888,441
+[100]	val's binary_logloss: 0.0034209
+[200]	val's binary_logloss: 0.00234114
+[300]	val's binary_logloss: 0.00236377
+[   329.8s rss=12.82GB]    trained on 3,218,433 rows: best_iter=202, val logloss=0.00234 (23s)
+[predict] 888,441/888,441 rows scored, 1,126,233 rows/s, eta 0s
+[predict] 2,000,000/6,364,277 rows scored, 1,039,103 rows/s, eta 4s
+[predict] 4,000,000/6,364,277 rows scored, 1,073,936 rows/s, eta 2s
+[predict] 6,000,000/6,364,277 rows scored, 1,082,418 rows/s, eta 0s
+[predict] 6,364,277/6,364,277 rows scored, 1,069,350 rows/s, eta 0s
+[   337.0s rss=11.80GB] fold 3/5: fit 3,205,219 rows, early-stop 354,277, predict 903,998
+[100]	val's binary_logloss: 0.00325831
+[200]	val's binary_logloss: 0.0021604
+[   361.8s rss=12.83GB]    trained on 3,205,219 rows: best_iter=196, val logloss=0.00216 (25s)
+[predict] 903,998/903,998 rows scored, 964,205 rows/s, eta 0s
+[predict] 2,000,000/6,364,277 rows scored, 854,706 rows/s, eta 5s
+[predict] 4,000,000/6,364,277 rows scored, 861,503 rows/s, eta 3s
+[predict] 6,000,000/6,364,277 rows scored, 908,582 rows/s, eta 0s
+[predict] 6,364,277/6,364,277 rows scored, 915,861 rows/s, eta 0s
+[   370.3s rss=11.81GB] fold 4/5: fit 3,220,957 rows, early-stop 352,822, predict 889,715
+[100]	val's binary_logloss: 0.00333554
+[200]	val's binary_logloss: 0.00222566
+[300]	val's binary_logloss: 0.00224227
+[   396.5s rss=12.82GB]    trained on 3,220,957 rows: best_iter=222, val logloss=0.00222 (26s)
+[predict] 889,715/889,715 rows scored, 1,152,817 rows/s, eta 0s
+[predict] 2,000,000/6,364,277 rows scored, 922,010 rows/s, eta 5s
+[predict] 4,000,000/6,364,277 rows scored, 856,785 rows/s, eta 3s
+[predict] 6,000,000/6,364,277 rows scored, 862,856 rows/s, eta 0s
+[predict] 6,364,277/6,364,277 rows scored, 869,264 rows/s, eta 0s
+[   405.0s rss=11.95GB] fold 5/5: fit 3,217,981 rows, early-stop 355,098, predict 890,415
+[100]	val's binary_logloss: 0.00331985
+[200]	val's binary_logloss: 0.0022349
+[   430.2s rss=12.85GB]    trained on 3,217,981 rows: best_iter=196, val logloss=0.00223 (25s)
+[predict] 890,415/890,415 rows scored, 1,178,729 rows/s, eta 0s
+[predict] 2,000,000/6,364,277 rows scored, 1,048,569 rows/s, eta 4s
+[predict] 4,000,000/6,364,277 rows scored, 1,005,823 rows/s, eta 2s
+[predict] 6,000,000/6,364,277 rows scored, 986,398 rows/s, eta 0s
+[predict] 6,364,277/6,364,277 rows scored, 990,206 rows/s, eta 0s
+
+==== [loco:us] macro F0.5 = 0.92508   (train ['india'] only (5 fold models averaged, isotonic fit on their OOF), score all 179,772 evaluated S1 ids of us (unseen category, nothing tuned on it))
+  S1 ids 179,772 (179,772 with candidates), rows 6,364,277, blocking pair recall 0.9761  [40s]
+  decoder expected F0.5 0.97916 vs realised 0.92508 (all S1); with candidates: expected 0.97916 vs realised 0.92508
+  pair-level diagnostics: calibrated AUC 0.99879 logloss 0.03317 | raw AUC 0.99925 logloss 0.03337
+  [loco:us/no_one_parent] 0.92499   [loco:us/raw_probs] 0.92215   [loco:us/threshold_oof t=0.7] 0.92623
+  [loco:us/sweep] plain threshold p > t (one-parent), diagnostic: 0.3:0.9016  0.35:0.9062  0.4:0.9101  0.45:0.9113  0.5:0.9135  0.55:0.9175  0.6:0.9221  0.65:0.9226  0.7:0.9262  0.75:0.9280  0.8:0.9298  0.85:0.9320  0.9:0.9338
+  source S2: pair P 0.9359 R 0.9423 F0.5 0.9372 (true 300,881, pred 302,954, blocking recall 0.9720)
+  source S3: pair P 0.9458 R 0.9453 F0.5 0.9457 (true 321,796, pred 321,621, blocking recall 0.9799)
+                       n  share  macro_f05  mean_precision  mean_recall  n_singleton  singleton_acc  pred_empty_rate  mean_n_pred  mean_n_true  loss_share
+dimension  slice                                                                                                                                          
+overall    all    179772 1.0000     0.9251          0.9303       0.9451         9975         0.6557           0.0390       3.4743       3.4637      1.0000
+group      us     179772 1.0000     0.9251          0.9303       0.9451         9975         0.6557           0.0390       3.4743       3.4637      1.0000
+true_count 0        9975 0.0555     0.6557          0.0000          NaN         9975         0.6557           0.6557       0.3946       0.0000      0.2549
+           1        9814 0.0546     0.8495          0.8712       0.9492            0            NaN           0.0391       1.1879       1.0000      0.1097
+           2       30646 0.1705     0.9210          0.9262       0.9499            0            NaN           0.0023       2.1087       2.0000      0.1797
+           3       42971 0.2390     0.9431          0.9495       0.9467            0            NaN           0.0002       3.0312       3.0000      0.1815
+           4       39525 0.2199     0.9526          0.9604       0.9433            0            NaN           0.0001       3.9596       4.0000      0.1392
+           5+      46841 0.2606     0.9612          0.9702       0.9413            0            NaN           0.0000       5.4995       5.6480      0.1350
+
+==== [loco:us/train_oof] macro F0.5 = 0.98364   (OOF on the training countries ['india'])
+  S1 ids 120,228 (120,228 with candidates), rows 4,463,494, blocking pair recall 0.9621  [12s]
+  decoder expected F0.5 0.99571 vs realised 0.98364 (all S1); with candidates: expected 0.99571 vs realised 0.98364
+  pair-level diagnostics: calibrated AUC 0.99999 logloss 0.00221 | raw AUC 0.99999 logloss 0.00225
+  [loco:us/train_oof/no_one_parent] 0.98362   [loco:us/train_oof/raw_probs] 0.98363
+  source S2: pair P 0.9990 R 0.9523 F0.5 0.9893 (true 201,294, pred 191,891, blocking recall 0.9608)
+  source S3: pair P 0.9988 R 0.9519 F0.5 0.9890 (true 215,734, pred 205,619, blocking recall 0.9633)
+                       n  share  macro_f05  mean_precision  mean_recall  n_singleton  singleton_acc  pred_empty_rate  mean_n_pred  mean_n_true  loss_share
+dimension  slice                                                                                                                                          
+overall    all    120228 1.0000     0.9836          0.9986       0.9526         6729         0.9924           0.0589       3.3063       3.4686      1.0000
+group      india  120228 1.0000     0.9836          0.9986       0.9526         6729         0.9924           0.0589       3.3063       3.4686      1.0000
+true_count 0        6729 0.0560     0.9924          0.0000          NaN         6729         0.9924           0.9924       0.0080       0.0000      0.0259
+           1        6529 0.0543     0.9524          0.9965       0.9548            0            NaN           0.0446       0.9609       1.0000      0.1580
+           2       20296 0.1688     0.9808          0.9985       0.9540            0            NaN           0.0040       1.9122       2.0000      0.1980
+           3       28752 0.2391     0.9851          0.9991       0.9541            0            NaN           0.0008       2.8657       3.0000      0.2172
+           4       26257 0.2184     0.9858          0.9993       0.9513            0            NaN           0.0003       3.8084       4.0000      0.1900
+           5+      31665 0.2634     0.9869          0.9996       0.9511            0            NaN           0.0002       5.3680       5.6410      0.2109
+
+  [loco:us/oracle_calibration] 0.94212  -> calibration transfer loss +0.01704 (diagnostic, uses us labels)
+
+feature importance (mean gain % over fold models, top 40):
+  sim_ce                  87.12%  splits     1550
+  c_p_margin               7.01%  splits      788
+  c_p_rank                 2.74%  splits      138
+  sim_ce_gap               0.93%  splits      846
+  c_p_gap                  0.79%  splits      241
+  sim_bm25_word            0.41%  splits     1164
+  sim_ce_rank              0.11%  splits      553
+  a_ntok_pool              0.06%  splits      145
+  a_state3                 0.06%  splits        3
+  sim_e5_full              0.06%  splits     1406
+  a_tset                   0.06%  splits      292
+  pool_name_freq           0.05%  splits      938
+  n_max_idf_shared         0.04%  splits      961
+  s1_name_freq             0.03%  splits      630
+  sim_e5_name              0.03%  splits     1158
+  sim_bm25_word_norm       0.03%  splits     1085
+  s1_addr_freq             0.03%  splits      247
+  a_num_jac                0.03%  splits      200
+  c_p_n                    0.03%  splits      662
+  log_pool_name_freq       0.02%  splits      217
+  a_max_idf_shared         0.02%  splits      411
+  x_pname_s1addr           0.02%  splits      903
+  c_base                   0.02%  splits      347
+  n_legal3                 0.02%  splits      260
+  c_s1_rank                0.02%  splits      573
+  a_jac                    0.02%  splits      278
+  c_s1_n70                 0.02%  splits      701
+  n_jw                     0.01%  splits      277
+  c_s1_margin              0.01%  splits      310
+  n_ntok_delta             0.01%  splits       75
+  c_s1_gap                 0.01%  splits      350
+  a_idf_jac                0.01%  splits      236
+  a_ntok_delta             0.01%  splits      417
+  n_idf_jac                0.01%  splits      279
+  n_partial                0.01%  splits      213
+  n_tsort                  0.01%  splits      222
+  n_lev                    0.01%  splits      239
+  c_s1_n                   0.01%  splits      393
+  n_wratio                 0.01%  splits      182
+  n_sp_ratio               0.01%  splits      205
+
+HEADLINE [loco:us] macro F0.5 = 0.92508 (decoder expected 0.97916) over 179,772 S1 ids
+[   511.4s rss=7.82GB] saved ['model_fold0.txt', 'model_fold1.txt', 'model_fold2.txt', 'model_fold3.txt', 'model_fold4.txt'], calibrator.pkl, folds.parquet, features.json, metrics.json, oof.parquet in /w/out/m3_US; timings {'load': 7.4, 'features': 259.6, 'train': 163.6, 'eval': 70.5, 'total': 511.4}