Upload missingness review strict-pairwise assets
Browse files- .gitattributes +1 -0
- evaluation/query_family/missingness/review_strict_pairwise/data/current_vs_strict_pairwise_asset_review.csv +87 -0
- evaluation/query_family/missingness/review_strict_pairwise/data/current_vs_strict_pairwise_model_summary.csv +11 -0
- evaluation/query_family/missingness/review_strict_pairwise/data/strict_pairwise_dataset_coverage.csv +15 -0
- evaluation/query_family/missingness/review_strict_pairwise/data/strict_pairwise_pair_scores.csv +3 -0
- evaluation/query_family/missingness/review_strict_pairwise/figures/current_vs_strict_pairwise_review.pdf +3 -0
- evaluation/query_family/missingness/review_strict_pairwise/figures/current_vs_strict_pairwise_review.png +3 -0
- evaluation/query_family/missingness/review_strict_pairwise/notes/review.md +22 -0
.gitattributes
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@@ -25,3 +25,4 @@ evaluation/tail/breakdown/v2/prefix_summary__v2.csv filter=lfs diff=lfs merge=lf
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evaluation/query_family/subgroup/data/subgroup_query_rows.csv filter=lfs diff=lfs merge=lfs -text
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evaluation/query_family/subgroup/support3_analysis/query_support3_rows.csv filter=lfs diff=lfs merge=lfs -text
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evaluation/query_family/conditional/breakdown/data/conditional_query_rows.csv filter=lfs diff=lfs merge=lfs -text
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evaluation/query_family/subgroup/data/subgroup_query_rows.csv filter=lfs diff=lfs merge=lfs -text
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evaluation/query_family/subgroup/support3_analysis/query_support3_rows.csv filter=lfs diff=lfs merge=lfs -text
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evaluation/query_family/conditional/breakdown/data/conditional_query_rows.csv filter=lfs diff=lfs merge=lfs -text
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evaluation/query_family/missingness/review_strict_pairwise/data/strict_pairwise_pair_scores.csv filter=lfs diff=lfs merge=lfs -text
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evaluation/query_family/missingness/review_strict_pairwise/data/current_vs_strict_pairwise_asset_review.csv
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@@ -0,0 +1,87 @@
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dataset_id,model_id,model_label,current_broad_comissing_score,current_marginal_score,current_family_score,strict_status,strict_pairwise_comissing_score,strict_pair_count,active_missing_target_count,delta_strict_minus_current
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| 2 |
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c15,arf,ARF,0.994247,0.992016,0.993132,ok,0.991968,253,23,-0.002279
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c15,bayesnet,BayesNet,0.978961,0.969949,0.974455,ok,0.969671,253,23,-0.00929
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c15,realtabformer,RealTabFormer,0.972535,0.960764,0.96665,ok,0.931322,253,23,-0.041213
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| 5 |
+
c15,tvae,TVAE,0.692437,0.592855,0.642646,ok,0.585239,253,23,-0.107198
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| 6 |
+
c16,arf,ARF,0.981995,0.990613,0.986304,ok,0.979199,36,9,-0.002796
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| 7 |
+
c16,bayesnet,BayesNet,0.810089,0.742628,0.776358,ok,0.710908,36,9,-0.099181
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| 8 |
+
c16,ctgan,CTGAN,0.951149,0.951152,0.951151,ok,0.940609,36,9,-0.01054
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| 9 |
+
c16,realtabformer,RealTabFormer,0.996877,0.99853,0.997704,ok,0.998207,36,9,0.00133
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+
c16,tvae,TVAE,0.874315,0.89747,0.885893,ok,0.865348,36,9,-0.008967
|
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+
c17,arf,ARF,0.978997,0.997729,0.988363,ok,0.992469,3,3,0.013472
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+
c17,bayesnet,BayesNet,0.864396,0.836432,0.850414,ok,0.825746,3,3,-0.03865
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+
c17,ctgan,CTGAN,0.925917,0.963757,0.944837,ok,0.913933,3,3,-0.011984
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+
c17,realtabformer,RealTabFormer,0.950092,0.966501,0.958297,ok,0.964382,3,3,0.01429
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+
c17,tvae,TVAE,0.945448,0.94502,0.945234,ok,0.952706,3,3,0.007258
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c17,tabpfgen,TabPFGen,0.864396,0.836432,0.850414,ok,0.825746,3,3,-0.03865
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c18,arf,ARF,0.969362,0.987571,0.978466,ok,0.970942,15,6,0.00158
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| 18 |
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c18,bayesnet,BayesNet,0.980698,0.987874,0.984286,ok,0.984106,15,6,0.003408
|
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+
c18,realtabformer,RealTabFormer,0.887476,0.867263,0.877369,ok,0.846907,15,6,-0.040569
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| 20 |
+
c19,arf,ARF,0.998981,0.999878,0.999429,not_applicable_fewer_than_2_missing_targets,,0,1,
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c19,bayesnet,BayesNet,0.994923,0.999328,0.997126,not_applicable_fewer_than_2_missing_targets,,0,1,
|
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c19,ctgan,CTGAN,0.959485,0.95183,0.955657,not_applicable_fewer_than_2_missing_targets,,0,1,
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| 23 |
+
c19,realtabformer,RealTabFormer,0.885474,0.853628,0.869551,not_applicable_fewer_than_2_missing_targets,,0,1,
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| 24 |
+
c19,tvae,TVAE,0.991963,0.990232,0.991097,not_applicable_fewer_than_2_missing_targets,,0,1,
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| 25 |
+
c19,tabpfgen,TabPFGen,0.987755,0.985958,0.986857,not_applicable_fewer_than_2_missing_targets,,0,1,
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| 26 |
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c21,arf,ARF,0.800376,0.720512,0.760444,real_train_csv_missing_locally,,0,0,
|
| 27 |
+
c21,bayesnet,BayesNet,0.800376,0.720512,0.760444,real_train_csv_missing_locally,,0,0,
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| 28 |
+
c5,arf,ARF,0.99184,0.997438,0.994639,ok,0.990029,6,4,-0.001811
|
| 29 |
+
c5,bayesnet,BayesNet,0.937576,0.997141,0.967358,ok,0.943234,6,4,0.005658
|
| 30 |
+
c5,ctgan,CTGAN,0.929999,0.956625,0.943312,ok,0.930563,6,4,0.000564
|
| 31 |
+
c5,realtabformer,RealTabFormer,0.994431,0.996955,0.995693,ok,0.997044,6,4,0.002613
|
| 32 |
+
c5,tvae,TVAE,0.972853,0.983437,0.978145,ok,0.980151,6,4,0.007298
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| 33 |
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c5,tabddpm,TabDDPM,0.803136,0.810198,0.806667,ok,0.725706,6,4,-0.07743
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| 34 |
+
c5,tabdiff,TabDiff,0.803136,0.810198,0.806667,ok,0.725706,6,4,-0.07743
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| 35 |
+
c5,tabpfgen,TabPFGen,0.803136,0.810198,0.806667,ok,0.725706,6,4,-0.07743
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+
c5,tabsyn,TabSyn,0.803136,0.810198,0.806667,ok,0.725706,6,4,-0.07743
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| 37 |
+
c5,tabsyn,TabSyn,0.803136,0.810198,0.806667,ok,0.725706,6,4,-0.07743
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| 38 |
+
c5,tabbyflow,TabbyFlow,0.803136,0.810198,0.806667,ok,0.725706,6,4,-0.07743
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m12,arf,ARF,0.603648,0.459932,0.53179,ok,0.495676,1,2,-0.107972
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m12,bayesnet,BayesNet,0.603648,0.459932,0.53179,ok,0.495676,1,2,-0.107972
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m12,ctgan,CTGAN,0.603648,0.459932,0.53179,ok,0.495676,1,2,-0.107972
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m12,realtabformer,RealTabFormer,0.994127,0.99242,0.993273,ok,0.995982,1,2,0.001855
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+
m12,tvae,TVAE,0.602336,0.465407,0.533872,ok,0.50924,1,2,-0.093096
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+
m12,tabsyn,TabSyn,0.603648,0.459932,0.53179,ok,0.495676,1,2,-0.107972
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| 45 |
+
m12,tabbyflow,TabbyFlow,0.603648,0.459932,0.53179,ok,0.495676,1,2,-0.107972
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| 46 |
+
m7,arf,ARF,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
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+
m7,bayesnet,BayesNet,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
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| 48 |
+
m7,ctgan,CTGAN,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
|
| 49 |
+
m7,forestdiffusion,ForestDiffusion,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
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| 50 |
+
m7,realtabformer,RealTabFormer,0.99502,0.994863,0.994942,not_applicable_fewer_than_2_missing_targets,,0,1,
|
| 51 |
+
m7,tvae,TVAE,0.686329,0.593689,0.640009,not_applicable_fewer_than_2_missing_targets,,0,1,
|
| 52 |
+
m7,tabddpm,TabDDPM,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
|
| 53 |
+
m7,tabdiff,TabDiff,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
|
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+
m7,tabpfgen,TabPFGen,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
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m7,tabsyn,TabSyn,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
|
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+
m7,tabbyflow,TabbyFlow,0.969658,0.960127,0.964893,not_applicable_fewer_than_2_missing_targets,,0,1,
|
| 57 |
+
m9,arf,ARF,0.986435,0.998453,0.992444,ok,0.987169,21,7,0.000734
|
| 58 |
+
m9,bayesnet,BayesNet,0.99375,0.994743,0.994247,ok,0.995176,21,7,0.001426
|
| 59 |
+
m9,ctgan,CTGAN,0.967434,0.970834,0.969134,ok,0.971807,21,7,0.004373
|
| 60 |
+
m9,realtabformer,RealTabFormer,0.993953,0.994025,0.993989,ok,0.994291,21,7,0.000338
|
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+
m9,tvae,TVAE,0.95522,0.971114,0.963167,ok,0.969888,21,7,0.014668
|
| 62 |
+
m9,tabddpm,TabDDPM,0.875667,0.844494,0.860081,ok,0.834484,21,7,-0.041183
|
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m9,tabpfgen,TabPFGen,0.875667,0.844494,0.860081,ok,0.834484,21,7,-0.041183
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+
m9,tabsyn,TabSyn,0.875667,0.844494,0.860081,ok,0.834484,21,7,-0.041183
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n13,arf,ARF,0.999738,0.999981,0.999859,real_train_csv_missing_locally,,0,0,
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n13,bayesnet,BayesNet,0.306292,0.009236,0.157764,real_train_csv_missing_locally,,0,0,
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+
n13,tvae,TVAE,0.306293,0.009236,0.157764,real_train_csv_missing_locally,,0,0,
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n18,arf,ARF,0.854504,0.915683,0.885093,ok,0.841825,14028,168,-0.012679
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n18,bayesnet,BayesNet,0.854504,0.915683,0.885093,ok,0.841825,14028,168,-0.012679
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+
n18,ctgan,CTGAN,0.854363,0.917687,0.886025,ok,0.843341,14028,168,-0.011022
|
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+
n18,tvae,TVAE,0.865029,0.93405,0.89954,ok,0.853099,14028,168,-0.01193
|
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+
n4,arf,ARF,0.362426,0.181374,0.2719,ok,0.379146,276,24,0.01672
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n4,bayesnet,BayesNet,0.362426,0.181374,0.2719,ok,0.379146,276,24,0.01672
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n4,ctgan,CTGAN,0.362426,0.181374,0.2719,ok,0.379146,276,24,0.01672
|
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+
n4,realtabformer,RealTabFormer,0.977819,0.997466,0.987642,ok,0.993735,276,24,0.015916
|
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+
n4,tvae,TVAE,0.482464,0.233281,0.357873,ok,0.662924,276,24,0.18046
|
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+
n4,tabddpm,TabDDPM,0.362426,0.181374,0.2719,ok,0.379146,276,24,0.01672
|
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n4,tabpfgen,TabPFGen,0.362426,0.181374,0.2719,ok,0.379146,276,24,0.01672
|
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n4,tabsyn,TabSyn,0.362426,0.181374,0.2719,ok,0.379146,276,24,0.01672
|
| 80 |
+
n4,tabbyflow,TabbyFlow,0.362426,0.181374,0.2719,ok,0.379146,276,24,0.01672
|
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n8,arf,ARF,0.880823,0.855863,0.868343,ok,0.805524,15931,179,-0.075299
|
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n8,bayesnet,BayesNet,0.880823,0.855863,0.868343,ok,0.805524,15931,179,-0.075299
|
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n8,ctgan,CTGAN,0.871649,0.845444,0.858546,ok,0.777777,15931,179,-0.093872
|
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+
n8,realtabformer,RealTabFormer,0.97491,0.988488,0.981699,ok,0.959667,15931,179,-0.015243
|
| 85 |
+
n8,tvae,TVAE,0.762994,0.692782,0.727888,ok,0.643471,15931,179,-0.119523
|
| 86 |
+
n8,tabsyn,TabSyn,0.880823,0.855863,0.868343,ok,0.805524,15931,179,-0.075299
|
| 87 |
+
n8,tabbyflow,TabbyFlow,0.880823,0.855863,0.868343,ok,0.805524,15931,179,-0.075299
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evaluation/query_family/missingness/review_strict_pairwise/data/current_vs_strict_pairwise_model_summary.csv
ADDED
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@@ -0,0 +1,11 @@
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model_id,model_label,dataset_count_overlap,panel_count_overlap,current_broad_comissing_score__mean,strict_pairwise_comissing_score__mean,delta_strict_minus_current__mean
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| 2 |
+
arf,ARF,10,10,0.860428,0.843395,-0.017033
|
| 3 |
+
bayesnet,BayesNet,10,10,0.826687,0.795101,-0.031586
|
| 4 |
+
ctgan,CTGAN,8,8,0.808323,0.781606,-0.026717
|
| 5 |
+
realtabformer,RealTabFormer,9,9,0.971358,0.964615,-0.006743
|
| 6 |
+
tabbyflow,TabbyFlow,4,4,0.662508,0.601513,-0.060995
|
| 7 |
+
tabddpm,TabDDPM,3,3,0.68041,0.646445,-0.033964
|
| 8 |
+
tabdiff,TabDiff,1,1,0.803136,0.725706,-0.07743
|
| 9 |
+
tabpfgen,TabPFGen,4,4,0.726406,0.691271,-0.035136
|
| 10 |
+
tabsyn,TabSyn,5,6,0.721473,0.66104,-0.060432
|
| 11 |
+
tvae,TVAE,9,9,0.794788,0.78023,-0.014559
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evaluation/query_family/missingness/review_strict_pairwise/data/strict_pairwise_dataset_coverage.csv
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dataset_id,model_panel_count,strict_applicable_panel_count,active_missing_target_count,strict_pair_count
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| 2 |
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c15,4,4,23,253
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| 3 |
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c16,5,5,9,36
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| 4 |
+
c17,6,6,3,3
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| 5 |
+
c18,3,3,6,15
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| 6 |
+
c19,6,0,1,0
|
| 7 |
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c21,2,0,0,0
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| 8 |
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c5,11,11,4,6
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| 9 |
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m12,7,7,2,1
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| 10 |
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m7,11,0,1,0
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| 11 |
+
m9,8,8,7,21
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| 12 |
+
n13,3,0,0,0
|
| 13 |
+
n18,4,4,168,14028
|
| 14 |
+
n4,9,9,24,276
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| 15 |
+
n8,7,7,179,15931
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evaluation/query_family/missingness/review_strict_pairwise/data/strict_pairwise_pair_scores.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:b95db9d1ccc6ef11ebfb41bffabbbdd3bfb9bf5cd6154927d551afecd7a094b3
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size 21047221
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evaluation/query_family/missingness/review_strict_pairwise/figures/current_vs_strict_pairwise_review.pdf
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:7c9eacb12234d4861ad3fdf56d56ce9a07a1d966417e57e22c45f4d72c7674df
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+
size 22797
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evaluation/query_family/missingness/review_strict_pairwise/figures/current_vs_strict_pairwise_review.png
ADDED
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Git LFS Details
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evaluation/query_family/missingness/review_strict_pairwise/notes/review.md
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| 1 |
+
# Strict Pairwise Review
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This is a temporary audit only. It does not change the official missingness bundle.
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| 4 |
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## Audit definition
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| 6 |
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- Current broad score: official `co_missingness_pattern_consistency` from the direct evaluator.
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| 8 |
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- Strict pairwise score: only use unordered pairs of active missing-target columns.
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| 9 |
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- For each pair `(A, B)`, score `A | B_missing_indicator` and `B | A_missing_indicator` with the same 0.7 profile + 0.3 strength formula, then average the two directions.
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| 10 |
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- Final strict pairwise score = mean over all unordered missing-target pairs.
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| 11 |
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| 12 |
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## Coverage
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| 13 |
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| 14 |
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- Asset/panel rows reviewed: `86`
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| 15 |
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- Overlap rows with strict pairwise defined: `64`
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| 16 |
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- Datasets with strict pairwise defined: `10`
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| 17 |
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- Models with strict pairwise defined: `10`
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| 18 |
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| 19 |
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## Main caveat
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| 20 |
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| 21 |
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- Strict pairwise is undefined when a dataset has fewer than 2 active missing-target columns.
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- So this review is a support-reduced audit, not a drop-in replacement for the official broad score.
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