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evaluation/query_family/conditional/README.md

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+# Conditional Breakdown
+
+This directory contains a conditional-focused decomposition analysis built from the repository's unified `analysis` outputs.
+
+## Inputs
+
+- Source run: `20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49`
+- Query-level source: `Evaluation/analysis/runs/20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49/summaries/analysis_query_scores__all_datasets.jsonl`
+- Asset-level source: `Evaluation/analysis/runs/20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49/summaries/analysis_asset_scores__all_datasets.csv`
+- Canonical contract: `doc/analytics_family_subitem_contract_v1.md`
+
+## What this analysis exports
+
+- deduplicated dataset-model conditional scores
+- canonical three-branch conditional summaries
+- a subgroup-facing derived conditional view for `direction + slice`
+- paper-ready TikZ figures and LaTeX table snippets
+- final copies under `Evaluation/query_fivepart_breakdown/conditional_breakdown/final/`
+
+## Re-run
+
+```bash
+python src/eval/query_fivepart_breakdown/conditional_breakdown/runner.py
+```
+
+## TeX compilation
+
+The runner writes standalone `.tex` files and tries `latexmk -pdf` when available.  
+If no local TeX compiler exists, it still exports matching preview `.pdf/.png` files for immediate inspection.

evaluation/query_family/conditional/analysis_report.md

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+# Conditional Breakdown Report
+
+## Scope
+
+- Source analysis run: `20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49`
+- Family analyzed: `conditional_dependency_structure`
+- Excluded models: `cdtd, codi, goggle`
+- Included models: `11` from the frozen README roster
+- Deduplicated dataset-model panels: `510`
+- Conditional query rows used: `25108`
+
+## Canonical and derived views
+
+- Canonical score: `mean(dependency_strength_similarity, direction_consistency, slice_level_consistency)`
+- Derived subgroup score: `mean(direction_consistency, slice_level_consistency)`
+- The derived score is not a replacement for the frozen contract; it isolates the two subgroup-sensitive conditional branches for paper analysis.
+
+## Main findings
+
+1. `RealTabFormer` is the strongest model on the subgroup-facing conditional view with mean derived subgroup score `0.748`.
+2. Canonically, `RealTabFormer` leads the full conditional family with mean conditional score `0.671`.
+3. `TVAE` is the most direction-heavy model (direction minus slice = `0.167`), while `RealTabFormer` is the most slice-heavy (`0.070`).
+4. `TVAE` shows the largest strength-to-subgroup drop risk: its dependency-strength mean exceeds its subgroup-facing mean by `-0.197`.
+5. Dataset difficulty is uneven: `n9` is hardest on the subgroup-facing conditional view (`0.000` mean across models), while `n11` is easiest (`1.000`).
+
+## Files to use first
+
+- `figures/conditional_subgroup_tradeoff_scatter_main.pdf`
+- `figures/conditional_strength_vs_subgroup_bridge.pdf`
+- `figures/conditional_branch_dumbbell_main.pdf`
+- `tables/conditional_model_summary_generated.tex`
+- `data/model_summary.csv`
+
+## README compliance note
+
+- All plotted models are restricted to the frozen README roster with fixed colors.
+- Scatter plots now use legends instead of point-side model labels, matching the README figure annotation rule.
+- Model order is fixed globally instead of being re-sorted by score.
+
+## Prefix note
+
+- Prefix coverage summary rows: `33`
+- Prefix-level figures are exported for `c / m / n` slice checks, but the paper-facing core keeps the full deduplicated panel.

evaluation/query_family/conditional/data/dataset_model_heatmap.csv

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evaluation/query_family/conditional/data/dataset_model_scores.csv

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evaluation/query_family/conditional/data/dataset_summary.csv

@@ -0,0 +1,50 @@
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evaluation/query_family/conditional/data/duplicate_asset_audit.csv

@@ -0,0 +1 @@
+

evaluation/query_family/conditional/data/model_subitem_heatmap.csv

@@ -0,0 +1,5 @@
+subitem_id,subitem_label,arf,bayesnet,ctgan,forestdiffusion,realtabformer,tabbyflow,tabddpm,tabdiff,tabpfgen,tabsyn,tvae
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+direction_consistency,Direction consistency,0.692817,0.707886,0.668259,0.629311,0.798648,0.615482,0.608457,0.659497,0.675145,0.671617,0.646445
+slice_level_consistency,Slice-level consistency,0.562109,0.578142,0.51335,0.44518,0.707718,0.490401,0.492264,0.50764,0.554063,0.534691,0.461115
+family_mean,Family mean,0.534173,0.551334,0.512856,0.450679,0.671214,0.476465,0.464714,0.491389,0.519807,0.508789,0.482923

evaluation/query_family/conditional/data/model_summary.csv

@@ -0,0 +1,12 @@
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+tvae,TVAE,49,"c,m,n",0.370008,0.293444,0.042355,0.286992,0.453024,0.083016,0.646445,0.312643,0.046606,0.555098,0.737793,0.091348,0.461115,0.34754,0.051808,0.359571,0.562659,0.101544,0.482923,0.292488,0.041784,0.401026,0.564819,0.081897,0.552611,0.325201,0.047948,0.458633,0.64659,0.093979,0.166815,0.18845,0.02841,0.111131,0.222498,0.055683,-0.19676,0.243951,0.036366,-0.268038,-0.125483,0.071277

evaluation/query_family/conditional/data/model_summary__c.csv

@@ -0,0 +1,12 @@
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+c,Categorical,arf,ARF,19,0.647241,0.358693,0.08229,0.485953,0.808529,0.161288,0.821978,0.282878,0.07072,0.683368,0.960589,0.13861,0.751189,0.339119,0.08756,0.579572,0.922807,0.171618,0.69526,0.350719,0.08046,0.537557,0.852962,0.157702,0.794359,0.300015,0.075004,0.647352,0.941366,0.147007,0.058921,0.154213,0.039818,-0.019122,0.136963,0.078043,-0.085533,0.151551,0.037888,-0.159793,-0.011273,0.07426
+c,Categorical,bayesnet,BayesNet,19,0.606439,0.363966,0.0835,0.44278,0.770099,0.163659,0.801163,0.281778,0.070445,0.663092,0.939235,0.138071,0.695539,0.34522,0.089135,0.520834,0.870245,0.174705,0.670146,0.330064,0.075722,0.521731,0.81856,0.148415,0.757866,0.300444,0.075111,0.610648,0.905083,0.147217,0.092368,0.18298,0.047245,-0.000233,0.184968,0.0926,-0.113477,0.215495,0.053874,-0.21907,-0.007884,0.105593
+c,Categorical,ctgan,CTGAN,19,0.604934,0.344407,0.079012,0.450069,0.759798,0.154864,0.842486,0.236615,0.059154,0.726545,0.958427,0.115941,0.633412,0.336154,0.086795,0.463295,0.80353,0.170117,0.662516,0.309979,0.071114,0.523132,0.8019,0.139384,0.749405,0.276112,0.069028,0.61411,0.8847,0.135295,0.198573,0.185996,0.048024,0.104446,0.2927,0.094127,-0.102569,0.162836,0.040709,-0.182358,-0.022779,0.07979
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evaluation/query_family/conditional/data/model_summary__m.csv

@@ -0,0 +1,12 @@
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+m,Mixed,bayesnet,BayesNet,11,0.387586,0.138259,0.041687,0.30588,0.469291,0.081706,0.778261,0.271596,0.081889,0.617758,0.938764,0.160503,0.668552,0.315462,0.095115,0.482126,0.854978,0.186426,0.611466,0.222321,0.067032,0.480083,0.742849,0.131383,0.723406,0.28035,0.084529,0.55773,0.889083,0.165677,0.109708,0.179375,0.054084,0.003704,0.215712,0.106004,-0.335821,0.205045,0.061823,-0.456995,-0.214647,0.121174
+m,Mixed,ctgan,CTGAN,11,0.361071,0.110692,0.033375,0.295656,0.426485,0.065415,0.666412,0.275076,0.082939,0.503852,0.828972,0.16256,0.57037,0.292292,0.088129,0.397637,0.743104,0.172734,0.532618,0.211802,0.063861,0.407451,0.657784,0.125167,0.618391,0.267618,0.08069,0.460239,0.776543,0.158152,0.096042,0.189011,0.056989,-0.015657,0.20774,0.111698,-0.25732,0.177109,0.0534,-0.361985,-0.152656,0.104665
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+m,Mixed,tabdiff,TabDiff,10,0.330346,0.123057,0.038914,0.254074,0.406617,0.076272,0.727097,0.265659,0.084009,0.562439,0.891754,0.164657,0.632618,0.289166,0.091442,0.453391,0.811846,0.179227,0.563354,0.1957,0.061886,0.442057,0.68465,0.121296,0.679858,0.259989,0.082216,0.518715,0.841001,0.161143,0.094478,0.194952,0.061649,-0.026354,0.215311,0.120832,-0.349512,0.230553,0.072907,-0.49241,-0.206614,0.142898
+m,Mixed,tabpfgen,TabPFGen,11,0.338356,0.09627,0.029026,0.281464,0.395247,0.056892,0.724238,0.227246,0.068517,0.589944,0.858531,0.134294,0.626699,0.272918,0.082288,0.465415,0.787983,0.161284,0.563097,0.173821,0.052409,0.460375,0.665819,0.102722,0.675468,0.23495,0.07084,0.536621,0.814315,0.138847,0.097539,0.17732,0.053464,-0.007251,0.202328,0.10479,-0.337113,0.208673,0.062917,-0.46043,-0.213795,0.123318
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evaluation/query_family/conditional/data/model_summary__n.csv

@@ -0,0 +1,12 @@
+dataset_prefix,dataset_prefix_label,model_id,model_label,dataset_count,dependency_strength_similarity__mean,dependency_strength_similarity__std,dependency_strength_similarity__se,dependency_strength_similarity__ci95_low,dependency_strength_similarity__ci95_high,dependency_strength_similarity__ci95_radius,direction_consistency__mean,direction_consistency__std,direction_consistency__se,direction_consistency__ci95_low,direction_consistency__ci95_high,direction_consistency__ci95_radius,slice_level_consistency__mean,slice_level_consistency__std,slice_level_consistency__se,slice_level_consistency__ci95_low,slice_level_consistency__ci95_high,slice_level_consistency__ci95_radius,conditional_dependency_structure_score__mean,conditional_dependency_structure_score__std,conditional_dependency_structure_score__se,conditional_dependency_structure_score__ci95_low,conditional_dependency_structure_score__ci95_high,conditional_dependency_structure_score__ci95_radius,conditional_subgroup_score__mean,conditional_subgroup_score__std,conditional_subgroup_score__se,conditional_subgroup_score__ci95_low,conditional_subgroup_score__ci95_high,conditional_subgroup_score__ci95_radius,direction_minus_slice__mean,direction_minus_slice__std,direction_minus_slice__se,direction_minus_slice__ci95_low,direction_minus_slice__ci95_high,direction_minus_slice__ci95_radius,strength_minus_subgroup__mean,strength_minus_subgroup__std,strength_minus_subgroup__se,strength_minus_subgroup__ci95_low,strength_minus_subgroup__ci95_high,strength_minus_subgroup__ci95_radius
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evaluation/query_family/conditional/data/prefix_plot_data.csv

@@ -0,0 +1,13 @@
+model_id,model_label,c,m,n
+REAL,REAL,1.0,1.0,1.0
+arf,ARF,0.794359,0.694024,0.441816
+bayesnet,BayesNet,0.757866,0.723406,0.492275
+ctgan,CTGAN,0.749405,0.618391,0.436496
+forestdiffusion,ForestDiffusion,0.662115,0.629273,0.376853
+realtabformer,RealTabFormer,0.857179,0.801129,0.624523
+tabbyflow,TabbyFlow,0.659813,0.655739,0.40083
+tabddpm,TabDDPM,0.771746,0.612301,0.367713
+tabdiff,TabDiff,0.725226,0.679858,0.409661
+tabpfgen,TabPFGen,0.788609,0.675468,0.435706
+tabsyn,TabSyn,0.718469,0.663319,0.405941
+tvae,TVAE,0.67944,0.5212,0.463993

evaluation/query_family/conditional/data/prefix_summary.csv

@@ -0,0 +1,34 @@
+model_id,model_label,dataset_prefix,dataset_prefix_label,dataset_count,dependency_strength_similarity,direction_consistency,slice_level_consistency,conditional_dependency_structure_score,conditional_subgroup_score,direction_minus_slice,strength_minus_subgroup
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+arf,ARF,m,Mixed,11,0.373675,0.754495,0.633554,0.587241,0.694024,0.120942,-0.320349
+arf,ARF,n,Numerical,19,0.151132,0.540316,0.371473,0.342364,0.441816,0.148502,-0.314933
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+ctgan,CTGAN,c,Categorical,19,0.604934,0.842486,0.633412,0.662516,0.749405,0.198573,-0.102569
+ctgan,CTGAN,m,Mixed,11,0.361071,0.666412,0.57037,0.532618,0.618391,0.096042,-0.25732
+ctgan,CTGAN,n,Numerical,19,0.192399,0.51452,0.385552,0.351755,0.436496,0.107548,-0.268347
+forestdiffusion,ForestDiffusion,c,Categorical,19,0.508904,0.765116,0.529722,0.568914,0.662115,0.219735,-0.106891
+forestdiffusion,ForestDiffusion,m,Mixed,11,0.286038,0.686067,0.57248,0.514861,0.629273,0.113587,-0.343235
+forestdiffusion,ForestDiffusion,n,Numerical,19,0.139493,0.473912,0.304737,0.295286,0.376853,0.152246,-0.258297
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+realtabformer,RealTabFormer,m,Mixed,11,0.553665,0.831844,0.770414,0.718641,0.801129,0.061431,-0.247464
+realtabformer,RealTabFormer,n,Numerical,19,0.359443,0.713309,0.573279,0.529857,0.624523,0.108181,-0.299775
+tabbyflow,TabbyFlow,c,Categorical,18,0.50485,0.720377,0.572531,0.587209,0.659813,0.129205,-0.138981
+tabbyflow,TabbyFlow,m,Mixed,11,0.316649,0.705259,0.606218,0.542709,0.655739,0.099041,-0.33909
+tabbyflow,TabbyFlow,n,Numerical,17,0.147371,0.458665,0.342994,0.316343,0.40083,0.115671,-0.253459
+tabddpm,TabDDPM,c,Categorical,13,0.642624,0.81479,0.701572,0.669457,0.771746,0.094697,-0.047568
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+tabddpm,TabDDPM,n,Numerical,17,0.129752,0.436933,0.324195,0.285848,0.367713,0.092477,-0.260943
+tabdiff,TabDiff,c,Categorical,16,0.542476,0.792407,0.633621,0.634092,0.725226,0.143958,-0.146585
+tabdiff,TabDiff,m,Mixed,10,0.330346,0.727097,0.632618,0.563354,0.679858,0.094478,-0.349512
+tabdiff,TabDiff,n,Numerical,18,0.158624,0.502459,0.340223,0.324562,0.409661,0.147044,-0.270313
+tabpfgen,TabPFGen,c,Categorical,17,0.642363,0.815337,0.743564,0.682203,0.788609,0.057568,-0.072567
+tabpfgen,TabPFGen,m,Mixed,11,0.338356,0.724238,0.626699,0.563097,0.675468,0.097539,-0.337113
+tabpfgen,TabPFGen,n,Numerical,18,0.157259,0.527928,0.372813,0.339978,0.435706,0.133184,-0.304077
+tabsyn,TabSyn,c,Categorical,17,0.536195,0.759827,0.652274,0.612264,0.718469,0.089078,-0.138556
+tabsyn,TabSyn,m,Mixed,11,0.335304,0.711853,0.614785,0.55398,0.663319,0.097068,-0.328015
+tabsyn,TabSyn,n,Numerical,12,0.161783,0.519114,0.333891,0.320773,0.405941,0.157201,-0.27873
+tvae,TVAE,c,Categorical,19,0.548648,0.777613,0.553352,0.606235,0.67944,0.209435,-0.102576
+tvae,TVAE,m,Mixed,11,0.319999,0.589296,0.453103,0.454133,0.5212,0.136193,-0.201201
+tvae,TVAE,n,Numerical,19,0.212005,0.564776,0.392935,0.376278,0.463993,0.150011,-0.277766

evaluation/query_family/conditional/figures/conditional_model_subitem_heatmap_appendix.tex

@@ -0,0 +1,21 @@
+\documentclass{standalone}
+\usepackage[table]{xcolor}
+\usepackage{xcolor}
+\usepackage{booktabs}
+
+\begin{document}
+\scriptsize
+\textbf{Conditional model-subitem heatmap}\\[0.4em]
+\emph{Mean score, 0--1; missing cells stay white.}\\[0.5em]
+\setlength{\tabcolsep}{4pt}
+\begin{tabular}{lccccccccccc}
+\toprule
+Subitem & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
+\midrule
+Dependency strength similarity & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{6DC6BE} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{A0DAB8} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{9CD8B8} & \cellcolor[HTML]{92D5B9} & \cellcolor[HTML]{92D5B9} & \cellcolor[HTML]{7ACBBC} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{83CEBB} \\
+Direction consistency & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{206EB0} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{1D8EBF} & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{2296C1} & \cellcolor[HTML]{1E83BA} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{1E88BC} \\
+Slice-level consistency & \cellcolor[HTML]{2FA4C2} & \cellcolor[HTML]{2A9EC1} & \cellcolor[HTML]{3DB2C4} & \cellcolor[HTML]{5DC0C0} & \cellcolor[HTML]{206EB0} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{53BDC1} \\
+Family mean & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{3DB2C4} & \cellcolor[HTML]{59BFC0} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{3EB3C4} & \cellcolor[HTML]{4AB9C3} \\
+\bottomrule
+\end{tabular}
+\end{document}

evaluation/query_family/conditional/final/v2/model_summary__m__v2.csv

@@ -0,0 +1,12 @@
+dataset_prefix,dataset_prefix_label,model_id,model_label,dataset_count,dependency_strength_similarity__mean,dependency_strength_similarity__std,dependency_strength_similarity__se,dependency_strength_similarity__ci95_low,dependency_strength_similarity__ci95_high,dependency_strength_similarity__ci95_radius,direction_consistency__mean,direction_consistency__std,direction_consistency__se,direction_consistency__ci95_low,direction_consistency__ci95_high,direction_consistency__ci95_radius,slice_level_consistency__mean,slice_level_consistency__std,slice_level_consistency__se,slice_level_consistency__ci95_low,slice_level_consistency__ci95_high,slice_level_consistency__ci95_radius,conditional_dependency_structure_score__mean,conditional_dependency_structure_score__std,conditional_dependency_structure_score__se,conditional_dependency_structure_score__ci95_low,conditional_dependency_structure_score__ci95_high,conditional_dependency_structure_score__ci95_radius,conditional_subgroup_score__mean,conditional_subgroup_score__std,conditional_subgroup_score__se,conditional_subgroup_score__ci95_low,conditional_subgroup_score__ci95_high,conditional_subgroup_score__ci95_radius,direction_minus_slice__mean,direction_minus_slice__std,direction_minus_slice__se,direction_minus_slice__ci95_low,direction_minus_slice__ci95_high,direction_minus_slice__ci95_radius,strength_minus_subgroup__mean,strength_minus_subgroup__std,strength_minus_subgroup__se,strength_minus_subgroup__ci95_low,strength_minus_subgroup__ci95_high,strength_minus_subgroup__ci95_radius
+m,Mixed,arf,ARF,11,0.373675,0.168982,0.05095,0.273813,0.473538,0.099862,0.754495,0.26245,0.079132,0.599397,0.909593,0.155098,0.633554,0.335458,0.101145,0.43531,0.831797,0.198243,0.587241,0.225536,0.068002,0.453958,0.720525,0.133283,0.694024,0.281099,0.084754,0.527906,0.860143,0.166119,0.120942,0.216238,0.065198,-0.006847,0.24873,0.127788,-0.320349,0.225795,0.06808,-0.453785,-0.186913,0.133436
+m,Mixed,bayesnet,BayesNet,11,0.387586,0.138259,0.041687,0.30588,0.469291,0.081706,0.778261,0.271596,0.081889,0.617758,0.938764,0.160503,0.668552,0.315462,0.095115,0.482126,0.854978,0.186426,0.611466,0.222321,0.067032,0.480083,0.742849,0.131383,0.723406,0.28035,0.084529,0.55773,0.889083,0.165677,0.109708,0.179375,0.054084,0.003704,0.215712,0.106004,-0.335821,0.205045,0.061823,-0.456995,-0.214647,0.121174
+m,Mixed,ctgan,CTGAN,11,0.361071,0.110692,0.033375,0.295656,0.426485,0.065415,0.666412,0.275076,0.082939,0.503852,0.828972,0.16256,0.57037,0.292292,0.088129,0.397637,0.743104,0.172734,0.532618,0.211802,0.063861,0.407451,0.657784,0.125167,0.618391,0.267618,0.08069,0.460239,0.776543,0.158152,0.096042,0.189011,0.056989,-0.015657,0.20774,0.111698,-0.25732,0.177109,0.0534,-0.361985,-0.152656,0.104665
+m,Mixed,forestdiffusion,ForestDiffusion,11,0.286038,0.092576,0.027913,0.231329,0.340747,0.054709,0.686067,0.244509,0.073722,0.541571,0.830562,0.144496,0.57248,0.289687,0.087344,0.401285,0.743674,0.171194,0.514861,0.187952,0.05667,0.403789,0.625934,0.111072,0.629273,0.25062,0.075565,0.481166,0.77738,0.148107,0.113587,0.190169,0.057338,0.001204,0.22597,0.112383,-0.343235,0.20572,0.062027,-0.464808,-0.221662,0.121573
+m,Mixed,realtabformer,RealTabFormer,11,0.553665,0.133539,0.040263,0.474749,0.632582,0.078916,0.831844,0.201222,0.060671,0.71293,0.950759,0.118915,0.770414,0.217839,0.065681,0.641679,0.899148,0.128734,0.718641,0.169251,0.051031,0.61862,0.818662,0.100021,0.801129,0.207017,0.062418,0.67879,0.923468,0.122339,0.061431,0.066815,0.020145,0.021946,0.100916,0.039485,-0.247464,0.162514,0.049,-0.343503,-0.151424,0.09604
+m,Mixed,tabbyflow,TabbyFlow,11,0.316649,0.115147,0.034718,0.248601,0.384697,0.068048,0.705259,0.247715,0.074689,0.558869,0.851649,0.14639,0.606218,0.281704,0.084937,0.439742,0.772695,0.166476,0.542709,0.191205,0.05765,0.429714,0.655703,0.112995,0.655739,0.255281,0.07697,0.504877,0.8066,0.150861,0.099041,0.144106,0.04345,0.013879,0.184202,0.085161,-0.33909,0.225558,0.068008,-0.472386,-0.205793,0.133296
+m,Mixed,tabddpm,TabDDPM,10,0.283257,0.095466,0.030189,0.224087,0.342427,0.05917,0.65593,0.24775,0.078346,0.502373,0.809487,0.153557,0.568672,0.236058,0.074648,0.422362,0.714982,0.14631,0.50262,0.171712,0.0543,0.396191,0.609048,0.106428,0.612301,0.233066,0.073702,0.467845,0.756757,0.144456,0.087258,0.130112,0.041145,0.006614,0.167902,0.080644,-0.329044,0.209635,0.066292,-0.458977,-0.199111,0.129933
+m,Mixed,tabdiff,TabDiff,10,0.330346,0.123057,0.038914,0.254074,0.406617,0.076272,0.727097,0.265659,0.084009,0.562439,0.891754,0.164657,0.632618,0.289166,0.091442,0.453391,0.811846,0.179227,0.563354,0.1957,0.061886,0.442057,0.68465,0.121296,0.679858,0.259989,0.082216,0.518715,0.841001,0.161143,0.094478,0.194952,0.061649,-0.026354,0.215311,0.120832,-0.349512,0.230553,0.072907,-0.49241,-0.206614,0.142898
+m,Mixed,tabpfgen,TabPFGen,11,0.338356,0.09627,0.029026,0.281464,0.395247,0.056892,0.724238,0.227246,0.068517,0.589944,0.858531,0.134294,0.626699,0.272918,0.082288,0.465415,0.787983,0.161284,0.563097,0.173821,0.052409,0.460375,0.665819,0.102722,0.675468,0.23495,0.07084,0.536621,0.814315,0.138847,0.097539,0.17732,0.053464,-0.007251,0.202328,0.10479,-0.337113,0.208673,0.062917,-0.46043,-0.213795,0.123318
+m,Mixed,tabsyn,TabSyn,11,0.335304,0.114159,0.03442,0.26784,0.402767,0.067463,0.711853,0.245008,0.073873,0.567062,0.856643,0.14479,0.614785,0.291491,0.087888,0.442524,0.787045,0.17226,0.55398,0.187593,0.056561,0.44312,0.664841,0.110861,0.663319,0.255208,0.076948,0.5125,0.814137,0.150818,0.097068,0.171661,0.051758,-0.004377,0.198513,0.101445,-0.328015,0.237868,0.07172,-0.468586,-0.187444,0.140571
+m,Mixed,tvae,TVAE,11,0.319999,0.092464,0.027879,0.265356,0.374641,0.054643,0.589296,0.226611,0.068326,0.455378,0.723215,0.133918,0.453103,0.19246,0.058029,0.339367,0.56684,0.113737,0.454133,0.154238,0.046504,0.362984,0.545281,0.091149,0.5212,0.19156,0.057757,0.407995,0.634404,0.113205,0.136193,0.173223,0.052229,0.033825,0.238561,0.102368,-0.201201,0.125928,0.037969,-0.27562,-0.126782,0.074419

evaluation/query_family/conditional/locality_support_diagnostics/LATEST_RUN.json

@@ -0,0 +1,5 @@
+{
+  "run_tag": "20260524_090854_conditional_locality_support",
+  "run_dir": "/data/jialinzhang/TabQueryBench/code_snapshot/Evaluation/query_fivepart_breakdown/conditional_breakdown/locality_support_diagnostics/runs/20260524_090854_conditional_locality_support",
+  "generated_at_utc": "2026-05-24T09:10:34.258498+00:00"
+}

evaluation/query_family/conditional/locality_support_diagnostics/README.md

@@ -1,32 +1,19 @@
-# Conditional Locality/Support Diagnostics
+# Conditional locality/support diagnostics
 
-Paper-facing assets mirrored from the latest standalone conditional locality/support diagnostic run.
+This directory contains a standalone paper-facing diagnostic built on top of the frozen conditional breakdown outputs and the existing upstream analysis artifacts.
 
-Primary paper-facing files:
+## Latest run
 
-- `fig_conditional_locality_main.pdf`
-- `fig_conditional_support_main.pdf`
-- `fig_conditional_locality_support_combined.pdf`
-- `paper_caption.txt`
-- `paper_paragraphs.md`
-- `conditional_locality_support_report.md`
+- `20260524_090854_conditional_locality_support`
 
-Must-do bundle (`must_do/`):
+## Re-run
 
-- `must_do/fig_conditional_locality_main.pdf`
-- `must_do/fig_conditional_support_main.pdf`
-- `must_do/fig_conditional_locality_support_combined.pdf`
-- `must_do/fig_conditional_locality_main.png`
-- `must_do/fig_conditional_support_main.png`
-- `must_do/fig_conditional_locality_support_combined.png`
+```bash
+python src/eval/query_fivepart_breakdown/conditional_breakdown/conditional_locality_support_diagnostic.py
+```
 
-Support files:
+## Output structure
 
-- `conditional_template_mapping.csv`
-- `conditional_locality_summary.csv`
-- `conditional_support_bucket_summary.csv`
-- `conditional_support_method_audit.csv`
-
-
-Latest run: `20260519_192327_conditional_locality_support`
-Primary support variant: `all_filtered_local`
+- `runs/<timestamp>_conditional_locality_support/` holds the full reproducible bundle for one run.
+- `final/` mirrors the paper-facing assets from the latest run.
+- `final/must_do/` keeps the minimum figure bundle for paper drafting.

evaluation/query_family/conditional/locality_support_diagnostics/manifest.json

@@ -0,0 +1,240 @@
+{
+  "task": "conditional_locality_support_diagnostic",
+  "generated_at_utc": "2026-05-24T09:10:34.236847+00:00",
+  "source_analysis_run": "20260524_encodingrepair_v2_analysis_merged49",
+  "source_conditional_root": "/data/jialinzhang/TabQueryBench/code_snapshot/Evaluation/query_fivepart_breakdown/conditional_breakdown",
+  "run_tag": "20260524_090854_conditional_locality_support",
+  "run_dir": "/data/jialinzhang/TabQueryBench/code_snapshot/Evaluation/query_fivepart_breakdown/conditional_breakdown/locality_support_diagnostics/runs/20260524_090854_conditional_locality_support",
+  "primary_support_variant": "all_filtered_local",
+  "primary_support_reason": "primary_scalar_variant_missing",
+  "coverage": {
+    "conditional_query_rows": 17606,
+    "locality_dataset_model_panels": 404,
+    "filtered_local_query_rows": 2317,
+    "support_unique_cases": 223,
+    "support_primary_panel_rows": 648
+  },
+  "support_method_summary": {
+    "case_count": 223,
+    "template_count": 1,
+    "mode_counts": {
+      "exact": 187,
+      "unavailable": 36
+    },
+    "sql_artifact_found_count": 196,
+    "sql_artifact_missing_count": 27,
+    "main_eligible_case_count": 0
+  },
+  "support_variant_summary": {
+    "scalar_filtered_local": {
+      "eligible_case_count": 0,
+      "supported_dataset_count": 0,
+      "unsupported_dataset_count": 0,
+      "dataset_notes": []
+    },
+    "all_filtered_local": {
+      "eligible_case_count": 187,
+      "supported_dataset_count": 21,
+      "unsupported_dataset_count": 2,
+      "dataset_notes": [
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c4",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c5",
+          "case_count": 2,
+          "unique_support_values": 2,
+          "bucketing_status": "unsupported_degenerate_within_dataset"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "m4",
+          "case_count": 8,
+          "unique_support_values": 8,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "m10",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "n8",
+          "case_count": 4,
+          "unique_support_values": 4,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c7",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c8",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "n15",
+          "case_count": 9,
+          "unique_support_values": 7,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "m7",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c16",
+          "case_count": 9,
+          "unique_support_values": 7,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c17",
+          "case_count": 8,
+          "unique_support_values": 5,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "m6",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "n17",
+          "case_count": 9,
+          "unique_support_values": 7,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c11",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "n5",
+          "case_count": 9,
+          "unique_support_values": 7,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c9",
+          "case_count": 9,
+          "unique_support_values": 6,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c19",
+          "case_count": 8,
+          "unique_support_values": 7,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c18",
+          "case_count": 8,
+          "unique_support_values": 8,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "n19",
+          "case_count": 6,
+          "unique_support_values": 2,
+          "bucketing_status": "unsupported_degenerate_within_dataset"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c14",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "n12",
+          "case_count": 8,
+          "unique_support_values": 4,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c15",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        },
+        {
+          "analysis_variant": "all_filtered_local",
+          "dataset_id": "c10",
+          "case_count": 9,
+          "unique_support_values": 9,
+          "bucketing_status": "ok"
+        }
+      ]
+    }
+  },
+  "compile_notes": {
+    "fig_conditional_locality_main": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "fig_conditional_locality_by_model": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "fig_conditional_support_main": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "fig_conditional_support_by_model": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "fig_conditional_locality_support_combined": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "table_conditional_locality_summary": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "table_conditional_support_summary": {
+      "success": false,
+      "note": "latexmk not available"
+    }
+  },
+  "key_findings": {
+    "locality_global": "Across panel means, conditional fidelity declines from grouped/global summaries (0.497) to 2D surfaces (0.949) and then to filtered/local slices (0.524).",
+    "locality_model": "The strongest grouped/global to filtered/local drop appears for TVAE, falling from 0.486 to 0.405.",
+    "support_global": "Within the exact-support filtered-local subset, dense slices score 0.591, medium slices 0.547, and sparse slices 0.484, consistent with a sparse-support penalty.",
+    "support_model": "Model behavior is mixed: 11 models have positive dense-minus-sparse gaps and 0 show the reverse; the largest positive gap is TVAE at 0.194."
+  }
+}

evaluation/query_family/conditional/manifest.json

@@ -0,0 +1,69 @@
+{
+  "task": "conditional_breakdown",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "source_analysis_run": "20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49",
+  "excluded_models": [
+    "cdtd",
+    "codi",
+    "goggle"
+  ],
+  "included_models": [
+    "arf",
+    "bayesnet",
+    "ctgan",
+    "forestdiffusion",
+    "realtabformer",
+    "tabbyflow",
+    "tabddpm",
+    "tabdiff",
+    "tabpfgen",
+    "tabsyn",
+    "tvae"
+  ],
+  "dataset_panel_count": 510,
+  "query_row_count": 25108,
+  "compile_notes": {
+    "subgroup_tradeoff": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "strength_bridge": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "dumbbell": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "heatmap": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "prefix_bars": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "model_subitem_heatmap": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "family_subitem_bars": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "prefix_bar_c": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "prefix_tradeoff_m": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "prefix_tradeoff_n": {
+      "success": false,
+      "note": "latexmk not available"
+    }
+  },
+  "publish_final": true
+}

evaluation/query_family/subgroup/README.md

@@ -0,0 +1,29 @@
+# Subgroup Breakdown
+
+This directory contains a subgroup-focused decomposition analysis built from the repository's unified `analysis` outputs.
+
+## Inputs
+
+- Source run: `20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49`
+- Query-level source: `Evaluation/analysis/runs/20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49/summaries/analysis_query_scores__all_datasets.jsonl`
+- Asset-level source: `Evaluation/analysis/runs/20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49/summaries/analysis_asset_scores__all_datasets.csv`
+- Canonical contract: `doc/analytics_family_subitem_contract_v1.md`
+
+## What this analysis exports
+
+- deduplicated dataset-model subgroup scores
+- model-level subgroup summaries
+- canonical subgroup decomposition figures
+- paper-ready LaTeX table snippets
+- final copies under `Evaluation/query_fivepart_breakdown/subgroup_breakdown/final/`
+
+## Re-run
+
+```bash
+python src/eval/query_fivepart_breakdown/subgroup_breakdown/runner.py
+```
+
+## TeX compilation
+
+The runner writes standalone `.tex` files and tries `latexmk -pdf` when available.  
+If no local TeX compiler exists, it still exports matching preview `.pdf/.png` files for immediate inspection.

evaluation/query_family/subgroup/data/dataset_model_heatmap.csv

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evaluation/query_family/subgroup/data/dataset_model_scores.csv

@@ -1,476 +1,560 @@
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-c14,c,bayesnet,BayesNet,0.8196078529411764,0.8096153846153846,34.0,26.0,0.8146116187782806,0.009992468325791815,2
-c14,c,ctgan,CTGAN,0.8245797941176471,0.7751028461538462,34.0,26.0,0.7998413201357466,0.04947694796380098,2
-c14,c,realtabformer,RealTabFormer,0.9960784411764706,0.9477689230769231,34.0,26.0,0.9719236821266968,0.04830951809954753,2
-c14,c,tabsyn,TabSyn,0.0,0.15384615384615385,34.0,26.0,0.07692307692307693,-0.15384615384615385,2
-c14,c,tvae,TVAE,0.40467038235294117,0.5015901153846154,34.0,26.0,0.4531302488687783,-0.09691973303167423,2
-c15,c,real,REAL,1.0,1.0,11.0,26.0,1.0,0.0,2
-c15,c,arf,ARF,0.8520164545454545,0.5196885769230769,11.0,26.0,0.6858525157342656,0.3323278776223776,2
-c15,c,bayesnet,BayesNet,0.6939394545454545,0.4258929230769231,11.0,26.0,0.5599161888111888,0.26804653146853136,2
-c15,c,realtabformer,RealTabFormer,1.0,0.9038461538461539,11.0,26.0,0.9519230769230769,0.09615384615384615,2
-c15,c,tabsyn,TabSyn,0.033834636363636365,0.04940411538461539,11.0,26.0,0.041619375874125876,-0.015569479020979021,2
-c15,c,tvae,TVAE,0.4602271818181818,0.18766215384615384,11.0,26.0,0.3239446678321678,0.272565027972028,2
-c16,c,real,REAL,1.0,1.0,52.0,26.0,1.0,0.0,2
-c16,c,arf,ARF,0.7769366153846153,0.8004807692307693,52.0,26.0,0.7887086923076922,-0.023544153846153937,2
-c16,c,bayesnet,BayesNet,0.5665299038461539,0.5451717307692308,52.0,26.0,0.5558508173076924,0.021358173076923115,2
-c16,c,ctgan,CTGAN,0.6600592115384616,0.5980769615384616,52.0,26.0,0.6290680865384616,0.061982250000000016,2
-c16,c,realtabformer,RealTabFormer,0.7154773846153847,0.7091422692307692,52.0,26.0,0.712309826923077,0.006335115384615508,2
-c16,c,tabsyn,TabSyn,0.0,0.0,52.0,26.0,0.0,0.0,2
-c16,c,tvae,TVAE,0.33442990384615384,0.3364434230769231,52.0,26.0,0.33543666346153844,-0.002013519230769256,2
-c17,c,real,REAL,1.0,1.0,18.0,29.0,1.0,0.0,2
-c17,c,arf,ARF,0.7121994444444444,0.6511876551724138,18.0,29.0,0.6816935498084291,0.06101178927203055,2
-c17,c,bayesnet,BayesNet,0.7242446666666668,0.6538870344827586,18.0,29.0,0.6890658505747127,0.07035763218390811,2
-c17,c,ctgan,CTGAN,0.8154513333333333,0.8423155862068965,18.0,29.0,0.8288834597701149,-0.0268642528735632,2
-c17,c,realtabformer,RealTabFormer,0.7013092777777777,0.6873283793103449,18.0,29.0,0.6943188285440614,0.01398089846743289,2
-c17,c,tabpfgen,TabPFGen,0.68293,0.6447729999999999,18.0,29.0,0.6638515,0.03815700000000011,2
-c17,c,tabsyn,TabSyn,0.0,0.0,18.0,29.0,0.0,0.0,2
-c17,c,tvae,TVAE,0.7535401111111111,0.7583264137931034,18.0,29.0,0.7559332624521072,-0.004786302681992316,2
-c18,c,real,REAL,1.0,1.0,40.0,23.0,1.0,0.0,2
-c18,c,arf,ARF,0.366703675,0.562093,40.0,23.0,0.4643983375,-0.19538932499999995,2
-c18,c,bayesnet,BayesNet,0.310141475,0.49061073913043485,40.0,23.0,0.4003761070652174,-0.18046926413043485,2
-c18,c,realtabformer,RealTabFormer,0.566635675,0.7345330869565218,40.0,23.0,0.6505843809782609,-0.16789741195652175,2
-c18,c,tabsyn,TabSyn,0.03840495,0.049858695652173914,40.0,23.0,0.04413182282608696,-0.011453745652173913,2
-c19,c,real,REAL,1.0,1.0,77.0,7.0,1.0,0.0,2
-c19,c,arf,ARF,0.9993164675324675,1.0,77.0,7.0,0.9996582337662338,-0.0006835324675324994,2
-c19,c,bayesnet,BayesNet,0.5995671038961039,0.7142857142857143,77.0,7.0,0.656926409090909,-0.1147186103896104,2
-c19,c,ctgan,CTGAN,0.5981795974025974,0.7478991428571428,77.0,7.0,0.67303937012987,-0.14971954545454536,2
-c19,c,realtabformer,RealTabFormer,0.5033480649350649,0.5357142857142857,77.0,7.0,0.5195311753246753,-0.0323662207792208,2
-c19,c,tabpfgen,TabPFGen,0.0,0.0,77.0,7.0,0.0,0.0,2
-c19,c,tabsyn,TabSyn,0.0,0.0,77.0,7.0,0.0,0.0,2
-c19,c,tvae,TVAE,0.6031251168831169,0.7460317142857144,77.0,7.0,0.6745784155844157,-0.14290659740259748,2
-c20,c,real,REAL,1.0,1.0,33.0,33.0,1.0,0.0,2
-c20,c,arf,ARF,0.06060606060606061,0.15151515151515152,33.0,33.0,0.10606060606060606,-0.09090909090909091,2
-c20,c,bayesnet,BayesNet,0.7283950606060606,0.9329362424242423,33.0,33.0,0.8306656515151515,-0.2045411818181817,2
-c20,c,ctgan,CTGAN,0.7462071818181818,0.8698105151515152,33.0,33.0,0.8080088484848484,-0.1236033333333334,2
-c20,c,forestdiffusion,ForestDiffusion,0.0,0.0,33.0,33.0,0.0,0.0,2
-c20,c,realtabformer,RealTabFormer,0.7535353636363636,0.9308999090909091,33.0,33.0,0.8422176363636364,-0.1773645454545455,2
-c20,c,tabbyflow,TabbyFlow,0.0,0.0,33.0,33.0,0.0,0.0,2
-c20,c,tabddpm,TabDDPM,0.0,0.0,33.0,33.0,0.0,0.0,2
-c20,c,tabpfgen,TabPFGen,0.06060606060606061,0.15151515151515152,33.0,33.0,0.10606060606060606,-0.09090909090909091,2
-c20,c,tabsyn,TabSyn,0.0,0.0,33.0,33.0,0.0,0.0,2
-c20,c,tvae,TVAE,0.7233806060606061,0.8810461515151515,33.0,33.0,0.8022133787878788,-0.15766554545454547,2
-m1,m,real,REAL,1.0,1.0,34.0,8.0,1.0,0.0,2
-m1,m,arf,ARF,0.9813719117647058,1.0,34.0,8.0,0.9906859558823529,-0.01862808823529416,2
-m1,m,bayesnet,BayesNet,0.9800419705882353,1.0,34.0,8.0,0.9900209852941176,-0.01995802941176472,2
-m1,m,ctgan,CTGAN,0.965393794117647,1.0,34.0,8.0,0.9826968970588235,-0.03460620588235297,2
-m1,m,realtabformer,RealTabFormer,0.7703004705882353,0.95833325,34.0,8.0,0.8643168602941176,-0.18803277941176477,2
-m1,m,tabbyflow,TabbyFlow,0.9455695000000001,0.979166625,34.0,8.0,0.9623680625,-0.033597124999999894,2
-m1,m,tabddpm,TabDDPM,0.7261974705882352,1.0,34.0,8.0,0.8630987352941176,-0.27380252941176475,2
-m1,m,tabdiff,TabDiff,0.9882839411764704,1.0,34.0,8.0,0.9941419705882353,-0.011716058823529552,2
-m1,m,tabpfgen,TabPFGen,0.8950504411764706,1.0,34.0,8.0,0.9475252205882353,-0.10494955882352941,2
-m1,m,tabsyn,TabSyn,0.8673568235294118,1.0,34.0,8.0,0.9336784117647059,-0.1326431764705882,2
-m1,m,tvae,TVAE,0.5142900882352941,0.71875,34.0,8.0,0.616520044117647,-0.2044599117647059,2
-m2,m,real,REAL,1.0,1.0,20.0,26.0,1.0,0.0,2
-m2,m,arf,ARF,0.9571429,0.8034663846153846,20.0,26.0,0.8803046423076923,0.15367651538461546,2
-m2,m,bayesnet,BayesNet,0.9,0.8803418846153845,20.0,26.0,0.8901709423076922,0.019658115384615482,2
-m2,m,ctgan,CTGAN,0.9,0.8226495769230768,20.0,26.0,0.8613247884615385,0.07735042307692319,2
-m2,m,realtabformer,RealTabFormer,0.9709091000000001,0.9146253461538462,20.0,26.0,0.9427672230769231,0.05628375384615392,2
-m2,m,tabddpm,TabDDPM,0.22111109999999998,0.6136363461538461,20.0,26.0,0.41737372307692305,-0.3925252461538461,2
-m2,m,tabpfgen,TabPFGen,0.9000456,0.9188051153846154,20.0,26.0,0.9094253576923077,-0.0187595153846154,2
-m2,m,tabsyn,TabSyn,0.7588889,0.8040627307692307,20.0,26.0,0.7814758153846153,-0.04517383076923076,2
-m2,m,tvae,TVAE,0.9,0.8034188076923077,20.0,26.0,0.8517094038461539,0.09658119230769235,2
-m4,m,real,REAL,1.0,1.0,45.0,7.0,1.0,0.0,2
-m4,m,arf,ARF,0.6833333333333333,0.7142857142857143,45.0,7.0,0.6988095238095238,-0.030952380952380953,2
-m4,m,bayesnet,BayesNet,0.6851851777777778,0.7142857142857143,45.0,7.0,0.699735446031746,-0.029100536507936536,2
-m4,m,ctgan,CTGAN,0.6740741777777778,0.7619048571428572,45.0,7.0,0.7179895174603175,-0.08783067936507938,2
-m4,m,forestdiffusion,ForestDiffusion,0.9259259111111111,1.0,45.0,7.0,0.9629629555555556,-0.07407408888888889,2
-m4,m,realtabformer,RealTabFormer,0.9907407333333335,1.0,45.0,7.0,0.9953703666666667,-0.009259266666666544,2
-m4,m,tabbyflow,TabbyFlow,0.9814814666666667,1.0,45.0,7.0,0.9907407333333333,-0.01851853333333331,2
-m4,m,tabddpm,TabDDPM,0.0,0.0,45.0,7.0,0.0,0.0,2
-m4,m,tabdiff,TabDiff,1.0,1.0,45.0,7.0,1.0,0.0,2
-m4,m,tabpfgen,TabPFGen,0.6787878888888889,0.7142857142857143,45.0,7.0,0.6965368015873016,-0.035497825396825444,2
-m4,m,tabsyn,TabSyn,1.0,1.0,45.0,7.0,1.0,0.0,2
-m4,m,tvae,TVAE,0.6259260222222223,0.7619048571428572,45.0,7.0,0.6939154396825398,-0.1359788349206349,2
-m5,m,real,REAL,1.0,1.0,20.0,26.0,1.0,0.0,2
-m5,m,arf,ARF,0.8126632,0.9333441538461538,20.0,26.0,0.8730036769230769,-0.12068095384615374,2
-m5,m,bayesnet,BayesNet,0.5585621,0.8964237692307692,20.0,26.0,0.7274929346153846,-0.3378616692307692,2
-m5,m,ctgan,CTGAN,0.2583053,0.5632303461538462,20.0,26.0,0.41076782307692306,-0.30492504615384614,2
-m5,m,forestdiffusion,ForestDiffusion,0.6322618999999999,0.38553203846153844,20.0,26.0,0.5088969692307692,0.2467298615384615,2
-m5,m,realtabformer,RealTabFormer,0.9785714000000001,0.9461023846153847,20.0,26.0,0.9623368923076924,0.03246901538461544,2
-m5,m,tabbyflow,TabbyFlow,0.8725596,0.8892153076923077,20.0,26.0,0.8808874538461539,-0.01665570769230773,2
-m5,m,tabddpm,TabDDPM,0.1115132,0.009971500000000001,20.0,26.0,0.06074235,0.10154170000000001,2
-m5,m,tabdiff,TabDiff,0.7888889,0.8800306153846154,20.0,26.0,0.8344597576923076,-0.09114171538461535,2
-m5,m,tabpfgen,TabPFGen,0.6799999999999999,0.9467158076923077,20.0,26.0,0.8133579038461538,-0.26671580769230774,2
-m5,m,tabsyn,TabSyn,0.9097339,0.9153369615384614,20.0,26.0,0.9125354307692307,-0.005603061538461462,2
-m5,m,tvae,TVAE,0.222227,0.4707727692307693,20.0,26.0,0.3464998846153846,-0.24854576923076926,2
-m6,m,real,REAL,1.0,1.0,35.0,26.0,1.0,0.0,2
-m6,m,arf,ARF,0.7211579142857143,0.5405882307692308,35.0,26.0,0.6308730725274725,0.1805696835164835,2
-m6,m,bayesnet,BayesNet,0.6594251999999999,0.5486425384615384,35.0,26.0,0.6040338692307692,0.1107826615384615,2
-m6,m,ctgan,CTGAN,0.5752261428571429,0.4371206538461539,35.0,26.0,0.5061733983516484,0.138105489010989,2
-m6,m,forestdiffusion,ForestDiffusion,0.5781548857142856,0.4189211538461538,35.0,26.0,0.4985380197802197,0.15923373186813183,2
-m6,m,realtabformer,RealTabFormer,0.6691195714285714,0.5419808461538461,35.0,26.0,0.6055502087912088,0.12713872527472525,2
-m6,m,tabbyflow,TabbyFlow,0.5805850285714286,0.4944518846153846,35.0,26.0,0.5375184565934066,0.08613314395604399,2
-m6,m,tabddpm,TabDDPM,0.12040817142857141,0.14102565384615384,35.0,26.0,0.13071691263736263,-0.020617482417582433,2
-m6,m,tabdiff,TabDiff,0.5975843428571428,0.5136163461538461,35.0,26.0,0.5556003445054944,0.08396799670329669,2
-m6,m,tabpfgen,TabPFGen,0.6144663714285714,0.46563611538461536,35.0,26.0,0.5400512434065934,0.14883025604395606,2
-m6,m,tabsyn,TabSyn,0.6100875714285715,0.5054752307692307,35.0,26.0,0.5577814010989011,0.10461234065934077,2
-m6,m,tvae,TVAE,0.3547256285714286,0.33118734615384615,35.0,26.0,0.3429564873626374,0.023538282417582435,2
-m7,m,real,REAL,1.0,1.0,15.0,26.0,1.0,0.0,2
-m7,m,arf,ARF,0.4222222,1.0,15.0,26.0,0.7111111,-0.5777778,2
-m7,m,bayesnet,BayesNet,0.4095238,1.0,15.0,26.0,0.7047619,-0.5904762,2
-m7,m,ctgan,CTGAN,0.40555553333333333,0.8769230769230769,15.0,26.0,0.6412393051282052,-0.4713675435897436,2
-m7,m,forestdiffusion,ForestDiffusion,0.10666666666666667,0.4140321153846154,15.0,26.0,0.26034939102564103,-0.3073654487179487,2
-m7,m,realtabformer,RealTabFormer,0.4666666666666667,1.0,15.0,26.0,0.7333333333333334,-0.5333333333333333,2
-m7,m,tabbyflow,TabbyFlow,0.4095238,1.0,15.0,26.0,0.7047619,-0.5904762,2
-m7,m,tabddpm,TabDDPM,0.07619046666666666,0.5384615384615384,15.0,26.0,0.30732600256410253,-0.46227107179487176,2
-m7,m,tabdiff,TabDiff,0.4222222,1.0,15.0,26.0,0.7111111,-0.5777778,2
-m7,m,tabpfgen,TabPFGen,0.4066666666666666,0.8653846153846154,15.0,26.0,0.6360256410256411,-0.4587179487179488,2
-m7,m,tabsyn,TabSyn,0.4095238,1.0,15.0,26.0,0.7047619,-0.5904762,2
-m7,m,tvae,TVAE,0.3305555333333333,0.7519230769230769,15.0,26.0,0.5412393051282052,-0.4213675435897436,2
-m8,m,real,REAL,1.0,1.0,15.0,26.0,1.0,0.0,2
-m8,m,arf,ARF,0.9387655333333333,0.9672501923076923,15.0,26.0,0.9530078628205128,-0.028484658974358923,2
-m8,m,bayesnet,BayesNet,0.8914269333333333,0.9053254615384615,15.0,26.0,0.8983761974358975,-0.013898528205128158,2
-m8,m,ctgan,CTGAN,0.6199100000000001,0.7799674615384615,15.0,26.0,0.6999387307692309,-0.16005746153846145,2
-m8,m,forestdiffusion,ForestDiffusion,0.8126332666666667,0.8941661538461538,15.0,26.0,0.8533997102564103,-0.08153288717948715,2
-m8,m,realtabformer,RealTabFormer,0.9531194,0.9748088461538462,15.0,26.0,0.9639641230769231,-0.02168944615384627,2
-m8,m,tabddpm,TabDDPM,0.8556626666666667,0.9680933461538461,15.0,26.0,0.9118780064102564,-0.11243067948717944,2
-m8,m,tabdiff,TabDiff,0.9337366,0.9759766923076924,15.0,26.0,0.9548566461538461,-0.04224009230769232,2
-m8,m,tabpfgen,TabPFGen,0.9737028,0.97909,15.0,26.0,0.9763964,-0.005387200000000036,2
-m8,m,tabsyn,TabSyn,0.9460042000000001,0.9807920384615384,15.0,26.0,0.9633981192307692,-0.03478783846153832,2
-m8,m,tvae,TVAE,0.423231,0.738198153846154,15.0,26.0,0.580714576923077,-0.3149671538461539,2
-m9,m,real,REAL,1.0,1.0,32.0,26.0,1.0,0.0,2
-m9,m,arf,ARF,0.6874353125,0.8588241153846153,32.0,26.0,0.7731297139423077,-0.17138880288461533,2
-m9,m,bayesnet,BayesNet,0.67620578125,0.864743576923077,32.0,26.0,0.7704746790865384,-0.18853779567307705,2
-m9,m,ctgan,CTGAN,0.670513875,0.8358974230769232,32.0,26.0,0.7532056490384615,-0.16538354807692313,2
-m9,m,forestdiffusion,ForestDiffusion,0.0,0.0,32.0,26.0,0.0,0.0,2
-m9,m,realtabformer,RealTabFormer,0.83374540625,0.9453455384615383,32.0,26.0,0.8895454723557692,-0.1116001322115383,2
-m9,m,tabddpm,TabDDPM,0.665195625,0.8791208846153846,32.0,26.0,0.7721582548076923,-0.21392525961538467,2
-m9,m,tabpfgen,TabPFGen,0.58778728125,0.6282117692307693,32.0,26.0,0.6079995252403847,-0.04042448798076925,2
-m9,m,tabsyn,TabSyn,0.746633125,0.9084689230769231,32.0,26.0,0.8275510240384616,-0.16183579807692305,2
-m9,m,tvae,TVAE,0.3957408125,0.5842517307692308,32.0,26.0,0.48999627163461534,-0.18851091826923078,2
-m10,m,real,REAL,1.0,1.0,35.0,26.0,1.0,0.0,2
-m10,m,arf,ARF,0.5362522000000001,0.7783,35.0,26.0,0.6572761,-0.24204779999999992,2
-m10,m,bayesnet,BayesNet,0.9197526285714286,0.8836916153846155,35.0,26.0,0.901722121978022,0.036061013186813096,2
-m10,m,ctgan,CTGAN,0.5319793428571429,0.7549257692307693,35.0,26.0,0.6434525560439561,-0.22294642637362638,2
-m10,m,forestdiffusion,ForestDiffusion,0.24229968571428573,0.15709434615384615,35.0,26.0,0.19969701593406594,0.08520533956043957,2
-m10,m,realtabformer,RealTabFormer,0.9704626571428571,0.9817177307692309,35.0,26.0,0.976090193956044,-0.01125507362637379,2
-m10,m,tabbyflow,TabbyFlow,0.7131164571428571,0.8732985384615385,35.0,26.0,0.7932074978021978,-0.1601820813186814,2
-m10,m,tabddpm,TabDDPM,0.008556114285714286,0.015362807692307693,35.0,26.0,0.01195946098901099,-0.006806693406593407,2
-m10,m,tabpfgen,TabPFGen,0.5402908571428572,0.7637362692307692,35.0,26.0,0.6520135631868131,-0.22344541208791202,2
-m10,m,tabsyn,TabSyn,0.7377318285714285,0.8728783076923077,35.0,26.0,0.8053050681318681,-0.13514647912087918,2
-m10,m,tvae,TVAE,0.5293407142857143,0.7615384615384616,35.0,26.0,0.645439587912088,-0.23219774725274733,2
-m11,m,real,REAL,1.0,1.0,42.0,26.0,1.0,0.0,2
-m11,m,arf,ARF,0.7613211904761905,0.693406576923077,42.0,26.0,0.7273638836996337,0.06791461355311357,2
-m11,m,bayesnet,BayesNet,0.7432409047619049,0.694570153846154,42.0,26.0,0.7189055293040294,0.048670750915750904,2
-m11,m,ctgan,CTGAN,0.755135380952381,0.6986538461538461,42.0,26.0,0.7268946135531136,0.056481534798534905,2
-m11,m,forestdiffusion,ForestDiffusion,0.5588115714285715,0.46153846153846156,42.0,26.0,0.5101750164835166,0.09727310989010995,2
-m11,m,realtabformer,RealTabFormer,0.9515036428571428,0.9251559230769231,42.0,26.0,0.938329782967033,0.02634771978021977,2
-m11,m,tabbyflow,TabbyFlow,0.35693309523809524,0.30779026923076924,42.0,26.0,0.33236168223443224,0.049142826007326,2
-m11,m,tabddpm,TabDDPM,0.44581454761904765,0.34965034615384616,42.0,26.0,0.39773244688644693,0.0961642014652015,2
-m11,m,tabsyn,TabSyn,0.35693309523809524,0.30726692307692305,42.0,26.0,0.33210000915750915,0.049666172161172195,2
-m11,m,tvae,TVAE,0.6804946190476191,0.582750576923077,42.0,26.0,0.631622597985348,0.09774404212454213,2
-m12,m,real,REAL,1.0,1.0,42.0,8.0,1.0,0.0,2
-m12,m,arf,ARF,0.848567380952381,0.878185625,42.0,8.0,0.8633765029761905,-0.029618244047618925,2
-m12,m,bayesnet,BayesNet,0.7656653333333333,0.964197625,42.0,8.0,0.8649314791666667,-0.19853229166666664,2
-m12,m,ctgan,CTGAN,0.35691138095238095,0.5351241250000001,42.0,8.0,0.4460177529761905,-0.1782127440476191,2
-m12,m,realtabformer,RealTabFormer,0.8570308333333333,0.84827025,42.0,8.0,0.8526505416666667,0.008760583333333294,2
-m12,m,tabbyflow,TabbyFlow,0.7574845238095238,0.936111125,42.0,8.0,0.8467978244047619,-0.17862660119047624,2
-m12,m,tabsyn,TabSyn,0.7361557857142857,0.937323625,42.0,8.0,0.8367397053571428,-0.20116783928571425,2
-m12,m,tvae,TVAE,0.32031314285714285,0.43196225,42.0,8.0,0.3761376964285714,-0.11164910714285714,2
-n1,n,real,REAL,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,arf,ARF,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,bayesnet,BayesNet,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,ctgan,CTGAN,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,forestdiffusion,ForestDiffusion,0.0,0.0,16.0,23.0,0.0,0.0,2
-n1,n,realtabformer,RealTabFormer,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,tabbyflow,TabbyFlow,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,tabddpm,TabDDPM,0.0,0.0,16.0,23.0,0.0,0.0,2
-n1,n,tabpfgen,TabPFGen,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,tabsyn,TabSyn,1.0,1.0,16.0,23.0,1.0,0.0,2
-n1,n,tvae,TVAE,1.0,1.0,16.0,23.0,1.0,0.0,2
-n2,n,real,REAL,1.0,,38.0,,1.0,,1
-n2,n,arf,ARF,0.5302675789473684,,38.0,,0.5302675789473684,,1
-n2,n,bayesnet,BayesNet,1.0,,38.0,,1.0,,1
-n2,n,ctgan,CTGAN,0.0,,38.0,,0.0,,1
-n2,n,forestdiffusion,ForestDiffusion,0.0,,38.0,,0.0,,1
-n2,n,realtabformer,RealTabFormer,1.0,,38.0,,1.0,,1
-n2,n,tabbyflow,TabbyFlow,0.0,,38.0,,0.0,,1
-n2,n,tabddpm,TabDDPM,0.0,,38.0,,0.0,,1
-n2,n,tabdiff,TabDiff,0.0,,38.0,,0.0,,1
-n2,n,tabpfgen,TabPFGen,0.0,,38.0,,0.0,,1
-n2,n,tabsyn,TabSyn,0.6250044210526317,,38.0,,0.6250044210526317,,1
-n2,n,tvae,TVAE,0.0,,38.0,,0.0,,1
-n3,n,real,REAL,1.0,1.0,16.0,23.0,1.0,0.0,2
-n3,n,arf,ARF,0.0028125,0.019541304347826086,16.0,23.0,0.011176902173913043,-0.016728804347826087,2
-n3,n,bayesnet,BayesNet,0.0,0.0,16.0,23.0,0.0,0.0,2
-n3,n,ctgan,CTGAN,0.03571425,0.03933747826086957,16.0,23.0,0.03752586413043479,-0.003623228260869568,2
-n3,n,forestdiffusion,ForestDiffusion,0.10714275,0.10455478260869565,16.0,23.0,0.10584876630434782,0.0025879673913043466,2
-n3,n,realtabformer,RealTabFormer,0.859356625,0.8085836956521739,16.0,23.0,0.833970160326087,0.05077292934782607,2
-n3,n,tabbyflow,TabbyFlow,0.11980768750000001,0.41326739130434786,16.0,23.0,0.26653753940217395,-0.2934597038043478,2
-n3,n,tabddpm,TabDDPM,0.001771125,0.02156930434782609,16.0,23.0,0.011670214673913043,-0.01979817934782609,2
-n3,n,tabdiff,TabDiff,0.14626350000000002,0.43015486956521737,16.0,23.0,0.2882091847826087,-0.2838913695652173,2
-n3,n,tabpfgen,TabPFGen,0.0751105,0.08118130434782608,16.0,23.0,0.07814590217391304,-0.0060708043478260865,2
-n3,n,tabsyn,TabSyn,0.0470970625,0.355893,16.0,23.0,0.20149503125,-0.3087959375,2
-n3,n,tvae,TVAE,0.03571425,0.03209108695652174,16.0,23.0,0.03390266847826087,0.0036231630434782613,2
-n4,n,real,REAL,1.0,1.0,57.0,8.0,1.0,0.0,2
-n4,n,arf,ARF,0.21905545614035085,0.250714625,57.0,8.0,0.23488504057017545,-0.03165916885964917,2
-n4,n,bayesnet,BayesNet,0.14035087719298245,0.25,57.0,8.0,0.19517543859649122,-0.10964912280701755,2
-n4,n,ctgan,CTGAN,0.0456140350877193,0.125,57.0,8.0,0.08530701754385965,-0.0793859649122807,2
-n4,n,realtabformer,RealTabFormer,0.5597201754385965,0.587362375,57.0,8.0,0.5735412752192983,-0.027642199561403458,2
-n4,n,tabbyflow,TabbyFlow,0.22598056140350875,0.272304,57.0,8.0,0.24914228070175437,-0.04632343859649124,2
-n4,n,tabddpm,TabDDPM,0.04813317543859649,0.0,57.0,8.0,0.024066587719298246,0.04813317543859649,2
-n4,n,tabpfgen,TabPFGen,0.14035087719298245,0.25,57.0,8.0,0.19517543859649122,-0.10964912280701755,2
-n4,n,tabsyn,TabSyn,0.22490763157894736,0.254085625,57.0,8.0,0.23949662828947366,-0.029177993421052623,2
-n4,n,tvae,TVAE,0.049778526315789474,0.125318875,57.0,8.0,0.08754870065789473,-0.07554034868421053,2
-n5,n,real,REAL,1.0,1.0,57.0,8.0,1.0,0.0,2
-n5,n,arf,ARF,0.44327991228070174,0.50322375,57.0,8.0,0.47325183114035085,-0.05994383771929823,2
-n5,n,bayesnet,BayesNet,0.26562019298245615,0.50000725,57.0,8.0,0.38281372149122805,-0.23438705701754387,2
-n5,n,ctgan,CTGAN,0.23357850877192982,0.443796875,57.0,8.0,0.3386876918859649,-0.21021836622807016,2
-n5,n,forestdiffusion,ForestDiffusion,0.007590877192982457,0.0,57.0,8.0,0.0037954385964912283,0.007590877192982457,2
-n5,n,realtabformer,RealTabFormer,0.36396678947368416,0.5143575,57.0,8.0,0.4391621447368421,-0.15039071052631586,2
-n5,n,tabbyflow,TabbyFlow,0.32481292982456145,0.484292375,57.0,8.0,0.4045526524122807,-0.15947944517543855,2
-n5,n,tabddpm,TabDDPM,0.013543157894736842,0.001894,57.0,8.0,0.007718578947368421,0.011649157894736842,2
-n5,n,tabpfgen,TabPFGen,0.3262389122807018,0.497409375,57.0,8.0,0.4118241436403509,-0.1711704627192982,2
-n5,n,tabsyn,TabSyn,0.09264692982456141,0.001846375,57.0,8.0,0.0472466524122807,0.09080055482456141,2
-n5,n,tvae,TVAE,0.2347021403508772,0.42593975,57.0,8.0,0.3303209451754386,-0.19123760964912281,2
-n6,n,real,REAL,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,arf,ARF,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,bayesnet,BayesNet,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,ctgan,CTGAN,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,forestdiffusion,ForestDiffusion,0.0,0.0,38.0,7.0,0.0,0.0,2
-n6,n,realtabformer,RealTabFormer,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,tabbyflow,TabbyFlow,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,tabddpm,TabDDPM,0.0,0.0,38.0,7.0,0.0,0.0,2
-n6,n,tabdiff,TabDiff,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,tabpfgen,TabPFGen,1.0,1.0,38.0,7.0,1.0,0.0,2
-n6,n,tabsyn,TabSyn,0.0,0.0,38.0,7.0,0.0,0.0,2
-n6,n,tvae,TVAE,1.0,1.0,38.0,7.0,1.0,0.0,2
-n7,n,real,REAL,1.0,1.0,46.0,23.0,1.0,0.0,2
-n7,n,arf,ARF,0.9666666739130435,0.9049689565217391,46.0,23.0,0.9358178152173913,0.06169771739130436,2
-n7,n,bayesnet,BayesNet,0.9882677826086956,0.9695652173913044,46.0,23.0,0.9789165,0.01870256521739122,2
-n7,n,ctgan,CTGAN,0.9576086956521739,0.907608695652174,46.0,23.0,0.932608695652174,0.04999999999999993,2
-n7,n,forestdiffusion,ForestDiffusion,0.0,0.0,46.0,23.0,0.0,0.0,2
-n7,n,realtabformer,RealTabFormer,0.981461347826087,0.9713768260869565,46.0,23.0,0.9764190869565217,0.010084521739130436,2
-n7,n,tabbyflow,TabbyFlow,0.9793478260869565,0.9527433043478261,46.0,23.0,0.9660455652173913,0.026604521739130416,2
-n7,n,tabddpm,TabDDPM,0.859843,0.81294,46.0,23.0,0.8363915,0.04690300000000003,2
-n7,n,tabpfgen,TabPFGen,0.9882246304347827,0.991304347826087,46.0,23.0,0.9897644891304349,-0.003079717391304304,2
-n7,n,tabsyn,TabSyn,0.9794686086956522,0.9427536521739129,46.0,23.0,0.9611111304347826,0.036714956521739284,2
-n7,n,tvae,TVAE,0.9695048478260869,0.9460145217391305,46.0,23.0,0.9577596847826086,0.023490326086956448,2
-n8,n,real,REAL,1.0,1.0,42.0,26.0,1.0,0.0,2
-n8,n,arf,ARF,0.11659664285714287,0.0128205,42.0,26.0,0.06470857142857143,0.10377614285714287,2
-n8,n,bayesnet,BayesNet,0.01950111904761905,0.3557692307692308,42.0,26.0,0.1876351749084249,-0.33626811172161175,2
-n8,n,ctgan,CTGAN,0.15128954761904762,0.41025630769230764,42.0,26.0,0.28077292765567763,-0.25896676007326,2
-n8,n,realtabformer,RealTabFormer,0.095238,0.45221403846153846,42.0,26.0,0.2737260192307692,-0.35697603846153847,2
-n8,n,tabbyflow,TabbyFlow,0.12301576190476189,0.43158815384615384,42.0,26.0,0.27730195787545786,-0.30857239194139197,2
-n8,n,tabsyn,TabSyn,0.1438745238095238,0.49734146153846154,42.0,26.0,0.32060799267399265,-0.3534669377289377,2
-n8,n,tvae,TVAE,0.0,0.36594203846153844,42.0,26.0,0.18297101923076922,-0.36594203846153844,2
-n9,n,real,REAL,1.0,1.0,42.0,26.0,1.0,0.0,2
-n9,n,arf,ARF,0.7322930714285715,0.7457716538461538,42.0,26.0,0.7390323626373627,-0.013478582417582374,2
-n9,n,bayesnet,BayesNet,0.7459832619047619,0.7195981153846154,42.0,26.0,0.7327906886446887,0.026385146520146563,2
-n9,n,ctgan,CTGAN,0.6203777857142857,0.5612496538461539,42.0,26.0,0.5908137197802198,0.05912813186813182,2
-n9,n,forestdiffusion,ForestDiffusion,0.001605261904761905,0.0,42.0,26.0,0.0008026309523809525,0.001605261904761905,2
-n9,n,realtabformer,RealTabFormer,0.8524253333333334,0.8297140769230769,42.0,26.0,0.8410697051282051,0.02271125641025651,2
-n9,n,tabbyflow,TabbyFlow,0.7090654047619047,0.7010060384615385,42.0,26.0,0.7050357216117216,0.008059366300366189,2
-n9,n,tabddpm,TabDDPM,0.7505624285714285,0.7486198846153846,42.0,26.0,0.7495911565934066,0.001942543956043874,2
-n9,n,tabpfgen,TabPFGen,0.8077859761904762,0.8201093461538461,42.0,26.0,0.8139476611721612,-0.012323369963369912,2
-n9,n,tabsyn,TabSyn,0.02657102380952381,0.0,42.0,26.0,0.013285511904761904,0.02657102380952381,2
-n9,n,tvae,TVAE,0.639544380952381,0.6246397307692307,42.0,26.0,0.6320920558608059,0.014904650183150236,2
-n10,n,real,REAL,1.0,1.0,52.0,23.0,1.0,0.0,2
-n10,n,arf,ARF,0.9285715000000001,0.8530022173913043,52.0,23.0,0.8907868586956522,0.07556928260869578,2
-n10,n,bayesnet,BayesNet,0.9565933846153847,0.9080745217391304,52.0,23.0,0.9323339531772575,0.04851886287625429,2
-n10,n,ctgan,CTGAN,0.9285715000000001,0.8546585217391305,52.0,23.0,0.8916150108695653,0.07391297826086962,2
-n10,n,forestdiffusion,ForestDiffusion,0.0,0.0,52.0,23.0,0.0,0.0,2
-n10,n,realtabformer,RealTabFormer,0.93498175,0.8752589130434782,52.0,23.0,0.9051203315217391,0.0597228369565217,2
-n10,n,tabbyflow,TabbyFlow,0.9592490192307692,0.935817695652174,52.0,23.0,0.9475333574414716,0.02343132357859523,2
-n10,n,tabddpm,TabDDPM,0.9285715000000001,0.844720652173913,52.0,23.0,0.8866460760869566,0.0838508478260871,2
-n10,n,tabpfgen,TabPFGen,0.9628205192307693,0.9391304347826087,52.0,23.0,0.9509754770066889,0.023690084448160564,2
-n10,n,tabsyn,TabSyn,0.0,0.0,52.0,23.0,0.0,0.0,2
-n10,n,tvae,TVAE,0.968864423076923,0.9461697391304348,52.0,23.0,0.9575170811036788,0.022694683946488214,2
-n11,n,real,REAL,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,arf,ARF,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,bayesnet,BayesNet,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,ctgan,CTGAN,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,forestdiffusion,ForestDiffusion,0.0,0.0,18.0,23.0,0.0,0.0,2
-n11,n,realtabformer,RealTabFormer,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,tabbyflow,TabbyFlow,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,tabddpm,TabDDPM,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,tabpfgen,TabPFGen,1.0,1.0,18.0,23.0,1.0,0.0,2
-n11,n,tabsyn,TabSyn,0.0,0.0,18.0,23.0,0.0,0.0,2
-n11,n,tvae,TVAE,1.0,1.0,18.0,23.0,1.0,0.0,2
-n12,n,real,REAL,1.0,1.0,12.0,23.0,1.0,0.0,2
-n12,n,arf,ARF,0.5411871666666667,0.9540261304347826,12.0,23.0,0.7476066485507247,-0.4128389637681159,2
-n12,n,bayesnet,BayesNet,0.30482983333333336,0.622674652173913,12.0,23.0,0.4637522427536232,-0.3178448188405797,2
-n12,n,ctgan,CTGAN,0.237584,0.6666617826086957,12.0,23.0,0.45212289130434785,-0.42907778260869567,2
-n12,n,forestdiffusion,ForestDiffusion,0.009803916666666667,0.0,12.0,23.0,0.004901958333333334,0.009803916666666667,2
-n12,n,tabbyflow,TabbyFlow,0.0059524166666666675,0.014492739130434782,12.0,23.0,0.010222577898550725,-0.008540322463768114,2
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-n16,n,ctgan,CTGAN,1.0,1.0,18.0,7.0,1.0,0.0,2
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-n17,n,tabsyn,TabSyn,0.024943309523809527,,42.0,,0.024943309523809527,,1
-n17,n,tvae,TVAE,0.5536538095238095,,42.0,,0.5536538095238095,,1
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-n20,n,realtabformer,RealTabFormer,0.11557476315789472,,38.0,,0.11557476315789472,,1
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evaluation/query_family/subgroup/data/dataset_summary.csv

@@ -1,49 +1,50 @@
-dataset_id,dataset_prefix,model_count,internal_profile_stability,subgroup_size_stability,subgroup_structure_score,profile_minus_size,score_std_across_models
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-c11,c,10,0.597333,0.587374,0.592354,0.00996,0.509899
-c12,c,7,0.917293,0.914835,0.916064,0.002458,0.182193
-c14,c,7,0.674487,0.652788,0.663637,0.021699,0.330704
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-c17,c,8,0.673709,0.654727,0.664218,0.018982,0.290637
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-c20,c,11,0.370248,0.447066,0.408657,-0.076818,0.433734
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-m8,m,11,0.849836,0.92397,0.886903,-0.074134,0.131211
-m9,m,10,0.626326,0.750486,0.688406,-0.124161,0.279239
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-m11,m,10,0.661019,0.602078,0.631549,0.05894,0.236727
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-n11,n,11,0.818182,0.818182,0.818182,0.0,0.40452
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-n17,n,9,0.620214,,0.620214,,0.262929
-n18,n,5,0.329052,0.523554,0.426303,-0.194501,0.356921
-n19,n,7,0.511785,0.386729,0.449257,0.125056,0.305945
-n20,n,9,0.125104,,0.125104,,0.330263
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+n14,n,11,0.104628,,0.104628,,0.298358
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+n20,n,11,0.160951,0.153941,0.157446,0.00701,0.354575

evaluation/query_family/subgroup/data/duplicate_asset_audit.csv

@@ -1,38 +1 @@
-dataset_id,model_id,kept_asset_key,dropped_asset_key,kept_run_id,dropped_run_id
-c2,arf,c2__rtx_5090__arf__arf-c2-20260501_224900__arf-c2-1382-20260501_224905,c2__rtx_pro_6000__arf__arf-c2-20260422_055912,arf-c2-20260501_224900__arf-c2-1382-20260501_224905,arf-c2-20260422_055912
-c2,bayesnet,c2__rtx_5090__bayesnet__bayesnet-c2-20260501_224919__bayesnet-c2-1382-20260501_224928,c2__rtx_pro_6000__bayesnet__bayesnet-c2-20260422_060152,bayesnet-c2-20260501_224919__bayesnet-c2-1382-20260501_224928,bayesnet-c2-20260422_060152
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-c2,forestdiffusion,c2__rtx_5090__forestdiffusion__forest-c2-20260501_180312__forest-c2-1382-20260501_180507,c2__rtx_pro_6000__forestdiffusion__forest-c2-20260414_032137,forest-c2-20260501_180312__forest-c2-1382-20260501_180507,forest-c2-20260414_032137
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-c2,tvae,c2__rtx_5090__tvae__tvae-c2-20260501_060652__tvae-c2-1382-20260501_060709,c2__rtx_pro_6000__tvae__tvae-c2-20260414_051505,tvae-c2-20260501_060652__tvae-c2-1382-20260501_060709,tvae-c2-20260414_051505
-c3,tabsyn,c3__rtx_5090__tabsyn__tabsyn-c3-20260422_031342__tabsyn-c3-2551-20260422_035033,c3__rtx_pro_6000__tabsyn__tabsyn-c3-20260420_233446,tabsyn-c3-20260422_031342__tabsyn-c3-2551-20260422_035033,tabsyn-c3-20260420_233446
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-c6,tabsyn,c6__rtx_5090__tabsyn__tabsyn-c6-20260422_051551__tabsyn-c6-7636-20260422_055242,c6__rtx_pro_6000__tabsyn__tabsyn-c6-20260420_233446,tabsyn-c6-20260422_051551__tabsyn-c6-7636-20260422_055242,tabsyn-c6-20260420_233446
-c7,tabsyn,c7__rtx_5090__tabsyn__tabsyn-c7-20260422_055250__tabsyn-c7-10368-20260422_063105,c7__rtx_pro_6000__tabsyn__tabsyn-c7-20260420_233446,tabsyn-c7-20260422_055250__tabsyn-c7-10368-20260422_063105,tabsyn-c7-20260420_233446
-c8,tabsyn,c8__rtx_5090__tabsyn__tabsyn-c8-20260422_063113__tabsyn-c8-8844-20260422_071553,c8__rtx_pro_6000__tabsyn__tabsyn-c8-20260420_233446,tabsyn-c8-20260422_063113__tabsyn-c8-8844-20260422_071553,tabsyn-c8-20260420_233446
-c9,tabsyn,c9__rtx_5090__tabsyn__tabsyn-c9-20260422_071602__tabsyn-c9-26215-20260422_075912,c9__rtx_pro_6000__tabsyn__tabsyn-c9-20260420_233446,tabsyn-c9-20260422_071602__tabsyn-c9-26215-20260422_075912,tabsyn-c9-20260420_233446
-m1,tabsyn,m1__rtx_5090__tabsyn__tabsyn-m1-20260426_023700__tabsyn-m1-1200-20260426_030635,m1__rtx_pro_6000__tabsyn__tabsyn-m1-20260421_023648,tabsyn-m1-20260426_023700__tabsyn-m1-1200-20260426_030635,tabsyn-m1-20260421_023648
-m2,tabsyn,m2__rtx_5090__tabsyn__tabsyn-m2-20260426_023700__tabsyn-m2-46873-20260426_034933,m2__rtx_pro_6000__tabsyn__tabsyn-m2-20260421_023648,tabsyn-m2-20260426_023700__tabsyn-m2-46873-20260426_034933,tabsyn-m2-20260421_023648
-m4,arf,m4__rtx_5090__arf__arf-m4-20260501_224942__arf-m4-2217-20260501_224949,m4__rtx_pro_6000__arf__arf-m4-20260321_063209,arf-m4-20260501_224942__arf-m4-2217-20260501_224949,arf-m4-20260321_063209
-m4,bayesnet,m4__rtx_5090__bayesnet__bayesnet-m4-20260501_224959__bayesnet-m4-2217-20260501_225008,m4__rtx_pro_6000__bayesnet__bayesnet-m4-20260321_061211,bayesnet-m4-20260501_224959__bayesnet-m4-2217-20260501_225008,bayesnet-m4-20260321_061211
-m4,ctgan,m4__rtx_5090__ctgan__ctgan-m4-20260501_005319__ctgan-m4-2217-20260501_005357,m4__rtx_pro_6000__ctgan__ctgan-m4-20260321_063700,ctgan-m4-20260501_005319__ctgan-m4-2217-20260501_005357,ctgan-m4-20260321_063700
-m4,realtabformer,m4__rtx_5090__realtabformer__rtf-m4-20260501_033611__rtf-m4-2217-20260501_034506,m4__rtx_pro_6000__realtabformer__rtf-m4-20260321_172613,rtf-m4-20260501_033611__rtf-m4-2217-20260501_034506,rtf-m4-20260321_172613
-m4,tabddpm,m4__rtx_5090__tabddpm__tabddpm-m4-20260501_002012__tabddpm-m4-2217-20260501_002103,m4__rtx_pro_6000__tabddpm__tabddpm-m4-20260424_033725,tabddpm-m4-20260501_002012__tabddpm-m4-2217-20260501_002103,tabddpm-m4-20260424_033725
-m4,tabpfgen,m4__rtx_5090__tabpfgen__tabpfgen-m4-20260501_005403__tabpfgen-m4-2217-20260501_005403,m4__rtx_pro_6000__tabpfgen__m4-migrated-20260422_193053,tabpfgen-m4-20260501_005403__tabpfgen-m4-2217-20260501_005403,m4-migrated-20260422_193053
-m4,tabsyn,m4__rtx_5090__tabsyn__tabsyn-m4-20260426_023700__tabsyn-m4-2217-20260426_030908,m4__rtx_pro_6000__tabsyn__tabsyn-m4-20260421_023648,tabsyn-m4-20260426_023700__tabsyn-m4-2217-20260426_030908,tabsyn-m4-20260421_023648
-m4,tvae,m4__rtx_5090__tvae__tvae-m4-20260501_055812__tvae-m4-2217-20260501_055834,m4__rtx_pro_6000__tvae__tvae-m4-20260321_065714,tvae-m4-20260501_055812__tvae-m4-2217-20260501_055834,tvae-m4-20260321_065714
-n1,tabsyn,n1__rtx_5090__tabsyn__tabsyn-n1-20260424_081230__tabsyn-n1-3680-20260424_084526,n1__rtx_pro_6000__tabsyn__tabsyn-n1-20260413_054310,tabsyn-n1-20260424_081230__tabsyn-n1-3680-20260424_084526,tabsyn-n1-20260413_054310
-n3,arf,n3__rtx_5090__arf__arf-n3-20260501_225023__arf-n3-3918-20260501_225052,n3__rtx_pro_6000__arf__arf-n3-20260422_055912,arf-n3-20260501_225023__arf-n3-3918-20260501_225052,arf-n3-20260422_055912
-n3,bayesnet,n3__rtx_5090__bayesnet__bayesnet-n3-20260501_225103__bayesnet-n3-3918-20260501_225112,n3__rtx_pro_6000__bayesnet__bayesnet-n3-20260422_060152,bayesnet-n3-20260501_225103__bayesnet-n3-3918-20260501_225112,bayesnet-n3-20260422_060152
-n3,ctgan,n3__rtx_5090__ctgan__ctgan-n3-20260501_005113__ctgan-n3-3918-20260501_005206,n3__rtx_pro_6000__ctgan__ctgan-n3-20260422_025941,ctgan-n3-20260501_005113__ctgan-n3-3918-20260501_005206,ctgan-n3-20260422_025941
-n3,realtabformer,n3__rtx_5090__realtabformer__rtf-n3-20260501_010320__rtf-n3-3918-20260501_011818,n3__rtx_pro_6000__realtabformer__rtf-n3-20260330_160436,rtf-n3-20260501_010320__rtf-n3-3918-20260501_011818,rtf-n3-20260330_160436
-n3,tabddpm,n3__rtx_5090__tabddpm__tabddpm-n3-20260501_002012__tabddpm-n3-3918-20260501_002035,n3__rtx_pro_6000__tabddpm__tabddpm-n3-20260424_033725,tabddpm-n3-20260501_002012__tabddpm-n3-3918-20260501_002035,tabddpm-n3-20260424_033725
-n3,tabpfgen,n3__rtx_5090__tabpfgen__tabpfgen-n3-20260501_005212__tabpfgen-n3-3918-20260501_005212,n3__rtx_pro_6000__tabpfgen__tabpfgen-n3-20260422_200720,tabpfgen-n3-20260501_005212__tabpfgen-n3-3918-20260501_005212,tabpfgen-n3-20260422_200720
-n3,tvae,n3__rtx_5090__tvae__tvae-n3-20260501_060320__tvae-n3-3918-20260501_060403,n3__rtx_pro_6000__tvae__tvae-n3-20260419_194337,tvae-n3-20260501_060320__tvae-n3-3918-20260501_060403,tvae-n3-20260419_194337
-c11,tabsyn,c11__rtx_5090__tabsyn__tabsyn-c11-20260422_165523__tabsyn-c11-54045-20260422_185444,c11__rtx_pro_6000__tabsyn__tabsyn-c11-20260420_233446,tabsyn-c11-20260422_165523__tabsyn-c11-54045-20260422_185444,tabsyn-c11-20260420_233446
+

evaluation/query_family/subgroup/data/model_subitem_heatmap.csv

@@ -1,4 +1,4 @@
-subitem_id,subitem_label,arf,bayesnet,ctgan,forestdiffusion,realtabformer,tabbyflow,tabddpm,tabdiff,tabpfgen,tabsyn,tvae
-internal_profile_stability,Internal profile stability,0.676563,0.679959,0.62376,0.261531,0.815889,0.573997,0.324354,0.675925,0.636702,0.360899,0.561952
-subgroup_size_stability,Subgroup size stability,0.709892,0.737025,0.702291,0.274505,0.858648,0.64279,0.381291,0.770208,0.712937,0.414758,0.652603
-family_mean,Family mean,0.684076,0.701987,0.646701,0.262739,0.82744,0.598026,0.346872,0.700413,0.657221,0.381235,0.59234
+subitem_id,subitem_label,arf,bayesnet,ctgan,forestdiffusion,realtabformer,tabbyflow,tabddpm,tabdiff,tabpfgen,tabsyn,tvae
+internal_profile_stability,Internal profile stability,0.691823,0.705327,0.657997,0.614168,0.789807,0.618007,0.586464,0.649159,0.663403,0.693785,0.61906
+subgroup_size_stability,Subgroup size stability,0.711284,0.71791,0.684272,0.660166,0.804929,0.635508,0.601335,0.671455,0.686325,0.710633,0.664407
+family_mean,Family mean,0.694374,0.704299,0.664152,0.630431,0.79015,0.626758,0.586383,0.652927,0.667404,0.693614,0.634954

evaluation/query_family/subgroup/data/model_summary.csv

@@ -1,13 +1,13 @@
-model_id,model_label,dataset_count,dataset_prefixes,internal_profile_stability__mean,internal_profile_stability__std,internal_profile_stability__se,internal_profile_stability__ci95_low,internal_profile_stability__ci95_high,internal_profile_stability__ci95_radius,subgroup_size_stability__mean,subgroup_size_stability__std,subgroup_size_stability__se,subgroup_size_stability__ci95_low,subgroup_size_stability__ci95_high,subgroup_size_stability__ci95_radius,subgroup_structure_score__mean,subgroup_structure_score__std,subgroup_structure_score__se,subgroup_structure_score__ci95_low,subgroup_structure_score__ci95_high,subgroup_structure_score__ci95_radius,profile_minus_size__mean,profile_minus_size__std,profile_minus_size__se,profile_minus_size__ci95_low,profile_minus_size__ci95_high,profile_minus_size__ci95_radius
-real,REAL,48,"c,m,n",1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-arf,ARF,48,"c,m,n",0.676563,0.328719,0.047446,0.583568,0.769558,0.092995,0.709892,0.326187,0.048625,0.614587,0.805197,0.095305,0.684076,0.321546,0.046411,0.59311,0.775042,0.090966,-0.016027,0.157798,0.023523,-0.062133,0.030078,0.046105
-bayesnet,BayesNet,48,"c,m,n",0.679959,0.335581,0.048437,0.585023,0.774895,0.094936,0.737025,0.296328,0.044174,0.650444,0.823606,0.086581,0.701987,0.311266,0.044927,0.613929,0.790044,0.088058,-0.046993,0.1749,0.026073,-0.098095,0.004109,0.051102
-ctgan,CTGAN,46,"c,m,n",0.62376,0.351715,0.051858,0.522119,0.725401,0.101641,0.702291,0.300701,0.045856,0.612412,0.792169,0.089879,0.646701,0.331962,0.048945,0.550768,0.742633,0.095933,-0.049083,0.136261,0.02078,-0.089811,-0.008354,0.040728
-forestdiffusion,ForestDiffusion,26,"c,m,n",0.261531,0.370151,0.072592,0.119249,0.403812,0.142281,0.274505,0.372723,0.074545,0.128397,0.420612,0.146107,0.262739,0.366351,0.071847,0.121918,0.403559,0.140821,-0.002513,0.100507,0.020101,-0.041912,0.036886,0.039399
-realtabformer,RealTabFormer,44,"c,m,n",0.815889,0.25102,0.037843,0.741718,0.890061,0.074172,0.858648,0.191576,0.029919,0.800007,0.91729,0.058641,0.82744,0.229083,0.034536,0.75975,0.89513,0.06769,-0.024792,0.119972,0.018737,-0.061515,0.011932,0.036724
-tabbyflow,TabbyFlow,31,"c,m,n",0.573997,0.400779,0.071982,0.432912,0.715081,0.141085,0.64279,0.386824,0.070624,0.504367,0.781213,0.138423,0.598026,0.392722,0.070535,0.459777,0.736274,0.138249,-0.04966,0.144525,0.026386,-0.101378,0.002057,0.051718
-tabddpm,TabDDPM,37,"c,m,n",0.324354,0.401073,0.065936,0.19512,0.453589,0.129234,0.381291,0.423077,0.072557,0.239079,0.523503,0.142212,0.346872,0.403939,0.066407,0.216714,0.47703,0.130158,-0.049009,0.142651,0.024464,-0.096959,-0.001059,0.04795
-tabdiff,TabDiff,17,"c,m,n",0.675925,0.379459,0.092032,0.495541,0.856309,0.180384,0.770208,0.32777,0.081943,0.609601,0.930816,0.160607,0.700413,0.364624,0.088434,0.527082,0.873745,0.173331,-0.052038,0.170473,0.042618,-0.13557,0.031494,0.083532
-tabpfgen,TabPFGen,38,"c,m,n",0.636702,0.377427,0.061227,0.516698,0.756706,0.120004,0.712937,0.331918,0.056104,0.602972,0.822902,0.109965,0.657221,0.361244,0.058602,0.542362,0.77208,0.114859,-0.044556,0.140208,0.0237,-0.091007,0.001895,0.046451
-tabsyn,TabSyn,45,"c,m,n",0.360899,0.395347,0.058935,0.245387,0.476411,0.115512,0.414758,0.427986,0.06604,0.28532,0.544196,0.129438,0.381235,0.404316,0.060272,0.263102,0.499368,0.118133,-0.043578,0.132267,0.020409,-0.08358,-0.003576,0.040002
-tvae,TVAE,47,"c,m,n",0.561952,0.334175,0.048744,0.466413,0.657491,0.095539,0.652603,0.30385,0.045807,0.562821,0.742385,0.089782,0.59234,0.318457,0.046452,0.501294,0.683385,0.091046,-0.064919,0.165716,0.024983,-0.113885,-0.015953,0.048966
+model_id,model_label,dataset_count,dataset_prefixes,internal_profile_stability__mean,internal_profile_stability__std,internal_profile_stability__se,internal_profile_stability__ci95_low,internal_profile_stability__ci95_high,internal_profile_stability__ci95_radius,subgroup_size_stability__mean,subgroup_size_stability__std,subgroup_size_stability__se,subgroup_size_stability__ci95_low,subgroup_size_stability__ci95_high,subgroup_size_stability__ci95_radius,subgroup_structure_score__mean,subgroup_structure_score__std,subgroup_structure_score__se,subgroup_structure_score__ci95_low,subgroup_structure_score__ci95_high,subgroup_structure_score__ci95_radius,profile_minus_size__mean,profile_minus_size__std,profile_minus_size__se,profile_minus_size__ci95_low,profile_minus_size__ci95_high,profile_minus_size__ci95_radius
+real,REAL,49,"c,m,n",1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+arf,ARF,49,"c,m,n",0.691823,0.347951,0.049707,0.594396,0.789249,0.097426,0.711284,0.337711,0.048744,0.615744,0.806823,0.095539,0.694374,0.345097,0.0493,0.597746,0.791001,0.096627,-0.005208,0.097578,0.014084,-0.032813,0.022397,0.027605
+bayesnet,BayesNet,49,"c,m,n",0.705327,0.328912,0.046987,0.613232,0.797423,0.092095,0.71791,0.32201,0.046478,0.626813,0.809007,0.091097,0.704299,0.328232,0.04689,0.612394,0.796204,0.091905,0.002099,0.098408,0.014204,-0.025741,0.029939,0.02784
+ctgan,CTGAN,49,"c,m,n",0.657997,0.353802,0.050543,0.558933,0.757062,0.099065,0.684272,0.318042,0.045905,0.594298,0.774247,0.089975,0.664152,0.335732,0.047962,0.570147,0.758157,0.094005,-0.012567,0.130527,0.01884,-0.049493,0.024359,0.036926
+forestdiffusion,ForestDiffusion,49,"c,m,n",0.614168,0.344612,0.04923,0.517677,0.71066,0.096491,0.660166,0.335519,0.048428,0.565247,0.755085,0.094919,0.630431,0.340664,0.048666,0.535045,0.725817,0.095386,-0.033202,0.108514,0.015663,-0.063901,-0.002503,0.030699
+realtabformer,RealTabFormer,49,"c,m,n",0.789807,0.262948,0.037564,0.716182,0.863433,0.073625,0.804929,0.243997,0.035218,0.735901,0.873956,0.069027,0.79015,0.260209,0.037173,0.717291,0.863008,0.072859,-0.0007,0.067493,0.009742,-0.019794,0.018394,0.019094
+tabbyflow,TabbyFlow,46,"c,m,n",0.618007,0.334339,0.049296,0.521388,0.714626,0.096619,0.635508,0.33154,0.048883,0.539698,0.731319,0.09581,0.626758,0.330113,0.048673,0.531359,0.722156,0.095398,-0.017501,0.086621,0.012772,-0.042533,0.007531,0.025032
+tabddpm,TabDDPM,40,"c,m,n",0.586464,0.373769,0.059098,0.470632,0.702296,0.115832,0.601335,0.352847,0.056501,0.490594,0.712077,0.110742,0.586383,0.363952,0.057546,0.473593,0.699173,0.11279,0.000167,0.102626,0.016433,-0.032043,0.032376,0.032209
+tabdiff,TabDiff,44,"c,m,n",0.649159,0.336942,0.050796,0.549599,0.748719,0.09956,0.671455,0.332929,0.050771,0.571943,0.770966,0.099511,0.652927,0.337062,0.050814,0.553331,0.752522,0.099596,-0.00771,0.092258,0.014069,-0.035286,0.019865,0.027576
+tabpfgen,TabPFGen,46,"c,m,n",0.663403,0.358289,0.052827,0.559863,0.766944,0.103541,0.686325,0.361571,0.0539,0.580682,0.791969,0.105644,0.667404,0.359994,0.053078,0.563371,0.771437,0.104033,-0.00818,0.121754,0.01815,-0.043754,0.027394,0.035574
+tabsyn,TabSyn,40,"c,m,n",0.693785,0.324861,0.051365,0.593109,0.79446,0.100676,0.710633,0.322337,0.051615,0.609467,0.811799,0.101166,0.693614,0.326967,0.051698,0.592286,0.794942,0.101328,0.00035,0.09902,0.015856,-0.030727,0.031428,0.031077
+tvae,TVAE,49,"c,m,n",0.61906,0.327773,0.046825,0.527283,0.710836,0.091776,0.664407,0.301879,0.043572,0.579005,0.749809,0.085402,0.634954,0.314432,0.044919,0.546913,0.722995,0.088041,-0.03245,0.127273,0.01837,-0.068456,0.003555,0.036006

evaluation/query_family/subgroup/data/prefix_plot_data.csv

@@ -1,13 +1,13 @@
-model_id,model_label,c,m,n
-real,REAL,1.0,1.0,1.0
-arf,ARF,0.755689,0.796267,0.551279
-bayesnet,BayesNet,0.754772,0.79733,0.596781
-ctgan,CTGAN,0.844435,0.671791,0.465661
-forestdiffusion,ForestDiffusion,0.36523,0.474252,0.011535
-realtabformer,RealTabFormer,0.890188,0.884023,0.710648
-tabbyflow,TabbyFlow,0.514889,0.75608,0.568864
-tabddpm,TabDDPM,0.415738,0.387299,0.282582
-tabdiff,TabDiff,0.696081,0.841695,0.429403
-tabpfgen,TabPFGen,0.688725,0.753259,0.577603
-tabsyn,TabSyn,0.288085,0.786848,0.21193
-tvae,TVAE,0.736194,0.556068,0.484627
+model_id,model_label,c,m,n
+real,REAL,1.0,1.0,1.0
+arf,ARF,0.870832,0.755307,0.482638
+bayesnet,BayesNet,0.850388,0.764055,0.523615
+ctgan,CTGAN,0.828731,0.663757,0.499803
+forestdiffusion,ForestDiffusion,0.800834,0.69388,0.423294
+realtabformer,RealTabFormer,0.899462,0.80992,0.669392
+tabbyflow,TabbyFlow,0.757901,0.712372,0.432503
+tabddpm,TabDDPM,0.788882,0.683627,0.374328
+tabdiff,TabDiff,0.810993,0.751277,0.457785
+tabpfgen,TabPFGen,0.822643,0.751138,0.469619
+tabsyn,TabSyn,0.828181,0.725563,0.473691
+tvae,TVAE,0.761926,0.581002,0.539217

evaluation/query_family/subgroup/data/prefix_summary.csv

@@ -1,37 +1,37 @@
-model_id,model_label,dataset_prefix,dataset_count,internal_profile_stability,subgroup_size_stability,subgroup_structure_score,profile_minus_size
-real,REAL,c,18,1.0,1.0,1.0,0.0
-real,REAL,m,11,1.0,1.0,1.0,0.0
-real,REAL,n,19,1.0,1.0,1.0,0.0
-arf,ARF,c,18,0.76538,0.745998,0.755689,0.019382
-arf,ARF,m,11,0.759112,0.833423,0.796267,-0.074311
-arf,ARF,n,19,0.544629,0.584345,0.551279,-0.015793
-bayesnet,BayesNet,c,18,0.759906,0.749639,0.754772,0.010267
-bayesnet,BayesNet,m,11,0.744457,0.850202,0.79733,-0.105745
-bayesnet,BayesNet,n,19,0.566879,0.645024,0.596781,-0.071019
-ctgan,CTGAN,c,16,0.848594,0.840277,0.844435,0.008316
-ctgan,CTGAN,m,11,0.610273,0.733309,0.671791,-0.123036
-ctgan,CTGAN,n,19,0.442234,0.54298,0.465661,-0.055639
-forestdiffusion,ForestDiffusion,c,8,0.352112,0.378347,0.36523,-0.026235
-forestdiffusion,ForestDiffusion,m,8,0.482094,0.466411,0.474252,0.015684
-forestdiffusion,ForestDiffusion,n,10,0.012614,0.011617,0.011535,0.002399
-realtabformer,RealTabFormer,c,18,0.888578,0.891799,0.890188,-0.003221
-realtabformer,RealTabFormer,m,11,0.855652,0.912395,0.884023,-0.056743
-realtabformer,RealTabFormer,n,15,0.699504,0.759655,0.710648,-0.02786
-tabbyflow,TabbyFlow,c,11,0.520855,0.508923,0.514889,0.011932
-tabbyflow,TabbyFlow,m,8,0.702157,0.810004,0.75608,-0.107848
-tabbyflow,TabbyFlow,n,12,0.537269,0.655047,0.568864,-0.068935
-tabddpm,TabDDPM,c,10,0.413465,0.418011,0.415738,-0.004546
-tabddpm,TabDDPM,m,10,0.323065,0.451532,0.387299,-0.128467
-tabddpm,TabDDPM,n,17,0.272695,0.304891,0.282582,-0.024012
-tabdiff,TabDiff,c,8,0.701718,0.690444,0.696081,0.011274
-tabdiff,TabDiff,m,6,0.788453,0.894937,0.841695,-0.106485
-tabdiff,TabDiff,n,3,0.382088,0.715077,0.429403,-0.141946
-tabpfgen,TabPFGen,c,13,0.689467,0.687984,0.688725,0.001483
-tabpfgen,TabPFGen,m,9,0.697422,0.809096,0.753259,-0.111674
-tabpfgen,TabPFGen,n,16,0.559676,0.671319,0.577603,-0.044128
-tabsyn,TabSyn,c,17,0.279223,0.296947,0.288085,-0.017725
-tabsyn,TabSyn,m,11,0.734459,0.839237,0.786848,-0.104778
-tabsyn,TabSyn,n,17,0.20086,0.224294,0.21193,-0.026885
-tvae,TVAE,c,17,0.741124,0.731265,0.736194,0.009859
-tvae,TVAE,m,11,0.481531,0.630605,0.556068,-0.149074
-tvae,TVAE,n,19,0.448199,0.584148,0.484627,-0.086515
+model_id,model_label,dataset_prefix,dataset_count,internal_profile_stability,subgroup_size_stability,subgroup_structure_score,profile_minus_size
+real,REAL,c,19,1.0,1.0,1.0,0.0
+real,REAL,m,11,1.0,1.0,1.0,0.0
+real,REAL,n,19,1.0,1.0,1.0,0.0
+arf,ARF,c,19,0.873723,0.867941,0.870832,0.005782
+arf,ARF,m,11,0.737465,0.773149,0.755307,-0.035684
+arf,ARF,n,19,0.483498,0.508116,0.482638,0.001816
+bayesnet,BayesNet,c,19,0.85064,0.850136,0.850388,0.000505
+bayesnet,BayesNet,m,11,0.754427,0.773684,0.764055,-0.019257
+bayesnet,BayesNet,n,19,0.531589,0.544254,0.523615,0.016834
+ctgan,CTGAN,c,19,0.830826,0.826636,0.828731,0.004189
+ctgan,CTGAN,m,11,0.627338,0.700176,0.663757,-0.072838
+ctgan,CTGAN,n,19,0.502919,0.52428,0.499803,0.006578
+forestdiffusion,ForestDiffusion,c,19,0.78309,0.818577,0.800834,-0.035487
+forestdiffusion,ForestDiffusion,m,11,0.667279,0.72048,0.69388,-0.053201
+forestdiffusion,ForestDiffusion,n,19,0.414499,0.456095,0.423294,-0.018569
+realtabformer,RealTabFormer,c,19,0.905805,0.893119,0.899462,0.012687
+realtabformer,RealTabFormer,m,11,0.808946,0.810894,0.80992,-0.001948
+realtabformer,RealTabFormer,n,19,0.662728,0.708194,0.669392,-0.014067
+tabbyflow,TabbyFlow,c,18,0.755472,0.76033,0.757901,-0.004858
+tabbyflow,TabbyFlow,m,11,0.696738,0.728005,0.712372,-0.031267
+tabbyflow,TabbyFlow,n,17,0.421512,0.443493,0.432503,-0.021981
+tabddpm,TabDDPM,c,13,0.797139,0.780626,0.788882,0.016514
+tabddpm,TabDDPM,m,10,0.675513,0.691741,0.683627,-0.016228
+tabddpm,TabDDPM,n,17,0.372978,0.399158,0.374328,-0.002869
+tabdiff,TabDiff,c,16,0.814657,0.807329,0.810993,0.007328
+tabdiff,TabDiff,m,10,0.736522,0.766033,0.751277,-0.029511
+tabdiff,TabDiff,n,18,0.453516,0.487939,0.457785,-0.00904
+tabpfgen,TabPFGen,c,17,0.832439,0.812847,0.822643,0.019592
+tabpfgen,TabPFGen,m,11,0.714777,0.7875,0.751138,-0.072723
+tabpfgen,TabPFGen,n,18,0.472363,0.494338,0.469619,0.005812
+tabsyn,TabSyn,c,17,0.833284,0.823078,0.828181,0.010206
+tabsyn,TabSyn,m,11,0.712105,0.73902,0.725563,-0.026915
+tabsyn,TabSyn,n,12,0.479367,0.508467,0.473691,0.012384
+tvae,TVAE,c,19,0.756844,0.767009,0.761926,-0.010165
+tvae,TVAE,m,11,0.554374,0.60763,0.581002,-0.053255
+tvae,TVAE,n,19,0.518725,0.590803,0.539217,-0.043259

evaluation/query_family/subgroup/figures/subgroup_branch_dumbbell_main.tex

@@ -0,0 +1,90 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\usetikzlibrary{patterns}
+\pgfplotsset{compat=1.18}
+
+\definecolor{modelreal}{HTML}{000000}
+\definecolor{modelarf}{HTML}{777777}
+\definecolor{modelbayesnet}{HTML}{CCBB44}
+\definecolor{modelctgan}{HTML}{EE6677}
+\definecolor{modelforestdiffusion}{HTML}{228833}
+\definecolor{modelrealtabformer}{HTML}{332288}
+\definecolor{modeltabbyflow}{HTML}{882255}
+\definecolor{modeltabddpm}{HTML}{EE7733}
+\definecolor{modeltabdiff}{HTML}{AA3377}
+\definecolor{modeltabpfgen}{HTML}{009988}
+\definecolor{modeltabsyn}{HTML}{66CCEE}
+\definecolor{modeltvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{axis}[
+width=13.2cm,
+height=9.8cm,
+xmin=0.15, xmax=1.03,
+ytick={12,11,10,9,8,7,6,5,4,3,2,1},
+yticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+y dir=reverse,
+xlabel={Score},
+grid=both,
+grid style={draw=gray!18},
+tick style={draw=black!70},
+legend style={draw=none, fill=none, font=\scriptsize, at={(0.03,0.03)}, anchor=south west},
+]
+\draw[line width=0.9pt, color=modelreal!70] (axis cs:1.0000,12) -- (axis cs:1.0000,12);
+\addplot+[only marks, mark=square*, mark size=2.4pt, draw=modelreal, fill=modelreal] coordinates { (1.0000,12) };
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+\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.7902,7) };
+\draw[line width=0.9pt, color=modeltabbyflow!70] (axis cs:0.6355,6) -- (axis cs:0.6180,6);
+\addplot+[only marks, mark=square*, mark size=2.4pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (0.6355,6) };
+\addplot+[only marks, mark=*, mark size=2.6pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (0.6180,6) };
+\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6268,6) };
+\draw[line width=0.9pt, color=modeltabddpm!70] (axis cs:0.6013,5) -- (axis cs:0.5865,5);
+\addplot+[only marks, mark=square*, mark size=2.4pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (0.6013,5) };
+\addplot+[only marks, mark=*, mark size=2.6pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (0.5865,5) };
+\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.5864,5) };
+\draw[line width=0.9pt, color=modeltabdiff!70] (axis cs:0.6715,4) -- (axis cs:0.6492,4);
+\addplot+[only marks, mark=square*, mark size=2.4pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (0.6715,4) };
+\addplot+[only marks, mark=*, mark size=2.6pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (0.6492,4) };
+\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6529,4) };
+\draw[line width=0.9pt, color=modeltabpfgen!70] (axis cs:0.6863,3) -- (axis cs:0.6634,3);
+\addplot+[only marks, mark=square*, mark size=2.4pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (0.6863,3) };
+\addplot+[only marks, mark=*, mark size=2.6pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (0.6634,3) };
+\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6674,3) };
+\draw[line width=0.9pt, color=modeltabsyn!70] (axis cs:0.7106,2) -- (axis cs:0.6938,2);
+\addplot+[only marks, mark=square*, mark size=2.4pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (0.7106,2) };
+\addplot+[only marks, mark=*, mark size=2.6pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (0.6938,2) };
+\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6936,2) };
+\draw[line width=0.9pt, color=modeltvae!70] (axis cs:0.6644,1) -- (axis cs:0.6191,1);
+\addplot+[only marks, mark=square*, mark size=2.4pt, draw=modeltvae, fill=modeltvae] coordinates { (0.6644,1) };
+\addplot+[only marks, mark=*, mark size=2.6pt, draw=modeltvae, fill=modeltvae] coordinates { (0.6191,1) };
+\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6350,1) };
+\addlegendimage{only marks, mark=square*, mark size=2.4pt, draw=black, fill=black}
+\addlegendentry{Subgroup size stability}
+\addlegendimage{only marks, mark=*, mark size=2.6pt, draw=black, fill=black}
+\addlegendentry{Internal profile stability}
+\addlegendimage{only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black}
+\addlegendentry{Canonical subgroup score}
+\end{axis}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/figures/subgroup_dataset_model_heatmap_appendix.tex

@@ -0,0 +1,62 @@
+\documentclass{standalone}
+\usepackage[table]{xcolor}
+\usepackage{booktabs}
+\begin{document}
+\scriptsize
+\setlength{\tabcolsep}{4pt}
+\begin{tabular}{lcccccccccccc}
+\toprule
+Dataset & REAL & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
+\midrule
+C2 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{0A1E5C} \\
+C3 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+C4 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{081D58} \\
+C5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{243F99} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{1E2E85} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{24439B} \\
+C6 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{34A9C3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{34A9C3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{32A6C2} \\
+C7 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{142670} \\
+C8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{11246B} \\
+C9 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{C2E7B4} & \cellcolor[HTML]{C2E7B4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{C2E7B4} \\
+C10 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} &  & \cellcolor[HTML]{102369} \\
+C11 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{11246B} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2161} \\
+C12 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2350A1} & \cellcolor[HTML]{081D58} &  &  &  & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{299DC1} \\
+C13 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{5FC1C0} \\
+C14 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{21318D} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{225DA8} \\
+C15 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{253595} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{1F78B4} & \cellcolor[HTML]{2070B0} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2165AB} &  & \cellcolor[HTML]{2260A9} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{2260A9} & \cellcolor[HTML]{32A6C2} \\
+C16 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{1E8ABD} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{1E8BBD} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{A7DCB7} &  & \cellcolor[HTML]{2DA2C2} &  & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{5FC1C0} \\
+C17 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{3CB1C3} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{A9DDB7} &  & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{1F7AB5} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{243D98} \\
+C18 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{269BC1} & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{9CD8B8} &  &  &  &  & \cellcolor[HTML]{259AC1} \\
+C19 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2258A5} & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{1F80B8} &  & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{2352A3} \\
+C20 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2258A5} &  & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+M1 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{21318D} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{11246B} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{1F7BB6} \\
+M2 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{3CB1C3} & \cellcolor[HTML]{55BEC1} & \cellcolor[HTML]{4CBAC2} &  & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} \\
+M4 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2259A6} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2259A6} \\
+M5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{35AAC3} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{B7E3B6} \\
+M6 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{A5DCB7} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{1E2E85} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{172976} & \cellcolor[HTML]{C0E6B5} \\
+M7 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{13266F} \\
+M8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{34A9C3} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{6BC6BE} \\
+M9 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{2DA2C2} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{225CA7} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{1E85BA} \\
+M10 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{253595} & \cellcolor[HTML]{24459C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{2352A3} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{253997} \\
+M11 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{67C4BE} \\
+M12 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2165AB} & \cellcolor[HTML]{1F80B8} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{206EB0} &  & \cellcolor[HTML]{2163AA} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{1D8EBF} \\
+N1 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+N2 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{081D58} &  & \cellcolor[HTML]{081D58} \\
+N3 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{D0EDB3} & \cellcolor[HTML]{D0EDB3} & \cellcolor[HTML]{EEF8B3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{DDF2B2} & \cellcolor[HTML]{DFF2B2} & \cellcolor[HTML]{DDF2B2} & \cellcolor[HTML]{E5F5B2} & \cellcolor[HTML]{CEECB3} & \cellcolor[HTML]{EEF8B3} \\
+N4 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{D5EFB3} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{CFECB3} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{73C8BD} &  & \cellcolor[HTML]{C6E9B4} \\
+N5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{89D1BA} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{39ADC3} & \cellcolor[HTML]{97D6B9} & \cellcolor[HTML]{EAF7B1} & \cellcolor[HTML]{89D1BA} & \cellcolor[HTML]{8CD2BA} &  & \cellcolor[HTML]{67C4BE} \\
+N6 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{D3EEB3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{D3EEB3} \\
+N7 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} &  & \cellcolor[HTML]{33A7C2} \\
+N8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2296C1} & \cellcolor[HTML]{2498C1} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{35AAC3} & \cellcolor[HTML]{1F7AB5} & \cellcolor[HTML]{2296C1} &  & \cellcolor[HTML]{31A5C2} &  & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{35AAC3} \\
+N9 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} &  & \cellcolor[HTML]{FFFFD9} \\
+N10 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} &  & \cellcolor[HTML]{081D58} \\
+N11 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+N12 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{F5FBC2} &  & \cellcolor[HTML]{182A7A} \\
+N14 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F1FABB} &  & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED3} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED3} & \cellcolor[HTML]{FFFFD9} \\
+N15 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{EDF8B2} & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{216AAD} & \cellcolor[HTML]{9ED9B8} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{24479D} \\
+N16 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+N17 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{1D90C0} & \cellcolor[HTML]{259AC1} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{2075B3} &  & \cellcolor[HTML]{F4FBC1} & \cellcolor[HTML]{F4FBC1} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{2DA2C2} \\
+N18 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{EAF7B1} & \cellcolor[HTML]{E2F4B2} & \cellcolor[HTML]{E1F3B2} & \cellcolor[HTML]{E7F6B1} & \cellcolor[HTML]{BDE5B5} & \cellcolor[HTML]{E1F3B2} &  & \cellcolor[HTML]{E3F4B2} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{E3F4B2} & \cellcolor[HTML]{E5F5B2} \\
+N19 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{CEECB3} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{F9FDCC} & \cellcolor[HTML]{216DAF} & \cellcolor[HTML]{FBFDD0} & \cellcolor[HTML]{FBFDD0} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{1F7AB5} \\
+N20 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{2166AC} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} &  & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} \\
+\bottomrule
+\end{tabular}
+\end{document}

evaluation/query_family/subgroup/figures/subgroup_family_subitem_bars_appendix.tex

@@ -0,0 +1,66 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\pgfplotsset{compat=1.18}
+
+\definecolor{barreal}{HTML}{000000}
+\definecolor{bararf}{HTML}{777777}
+\definecolor{barbayesnet}{HTML}{CCBB44}
+\definecolor{barctgan}{HTML}{EE6677}
+\definecolor{barforestdiffusion}{HTML}{228833}
+\definecolor{barrealtabformer}{HTML}{332288}
+\definecolor{bartabbyflow}{HTML}{882255}
+\definecolor{bartabddpm}{HTML}{EE7733}
+\definecolor{bartabdiff}{HTML}{AA3377}
+\definecolor{bartabpfgen}{HTML}{009988}
+\definecolor{bartabsyn}{HTML}{66CCEE}
+\definecolor{bartvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{axis}[
+width=13.50cm,
+height=8.8cm,
+ymin=0.0, ymax=1.08,
+ylabel={Score},
+title={Subgroup family and subitem bars},
+ymajorgrids,
+grid style={draw=gray!22},
+major grid style={draw=gray!30},
+axis line style={draw=black!70},
+tick style={draw=black!70},
+xtick={0.0000,1.1000,2.2000,3.3000,4.4000,5.5000,6.6000,7.7000,8.8000,9.9000,11.0000,12.1000,14.5500,15.6500,16.7500,17.8500,18.9500,20.0500,21.1500,22.2500,23.3500,24.4500,25.5500,26.6500},
+xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE,REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+x tick label style={rotate=90, anchor=east, font=\scriptsize},
+enlarge x limits=0.01,
+clip=false,
+]
+\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(0.0000,1.000000)};
+\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(1.1000,0.691823)};
+\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(2.2000,0.705327)};
+\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(3.3000,0.657997)};
+\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(4.4000,0.614168)};
+\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(5.5000,0.789807)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(6.6000,0.618007)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(7.7000,0.586464)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(8.8000,0.649159)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(9.9000,0.663403)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(11.0000,0.693785)};
+\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(12.1000,0.619060)};
+\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(14.5500,1.000000)};
+\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(15.6500,0.711284)};
+\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(16.7500,0.717910)};
+\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(17.8500,0.684272)};
+\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(18.9500,0.660166)};
+\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(20.0500,0.804929)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(21.1500,0.635508)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(22.2500,0.601335)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(23.3500,0.671455)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(24.4500,0.686325)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(25.5500,0.710633)};
+\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(26.6500,0.664407)};
+\draw[dashed, gray!70, line width=0.6pt] (axis cs:13.8250,0) -- (axis cs:13.8250,1.08);
+\node[anchor=south, font=\bfseries\small] at (axis cs:6.0500,1.035) {Internal profile stability};
+\node[anchor=south, font=\bfseries\small] at (axis cs:20.6000,1.035) {Subgroup size stability};
+\end{axis}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/figures/subgroup_model_subitem_heatmap_appendix.tex

@@ -0,0 +1,20 @@
+\documentclass{standalone}
+\usepackage[table]{xcolor}
+\usepackage{xcolor}
+\usepackage{booktabs}
+
+\begin{document}
+\scriptsize
+\textbf{Subgroup model-subitem heatmap}\\[0.4em]
+\emph{Mean score, 0--1; missing cells stay white.}\\[0.5em]
+\setlength{\tabcolsep}{4pt}
+\begin{tabular}{lccccccccccc}
+\toprule
+Subitem & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
+\midrule
+Internal profile stability & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{2070B0} & \cellcolor[HTML]{1E83BA} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{2350A1} & \cellcolor[HTML]{1F93C0} & \cellcolor[HTML]{289CC1} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{1F93C0} \\
+Subgroup size stability & \cellcolor[HTML]{216DAF} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{1F78B4} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{234B9F} & \cellcolor[HTML]{1D8DBE} & \cellcolor[HTML]{2498C1} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{1F78B4} & \cellcolor[HTML]{206EB0} & \cellcolor[HTML]{1F80B8} \\
+Family mean & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{2070B0} & \cellcolor[HTML]{1F80B8} & \cellcolor[HTML]{1D8EBF} & \cellcolor[HTML]{2350A1} & \cellcolor[HTML]{1D90C0} & \cellcolor[HTML]{289CC1} & \cellcolor[HTML]{1E85BA} & \cellcolor[HTML]{1F80B8} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{1D8DBE} \\
+\bottomrule
+\end{tabular}
+\end{document}

evaluation/query_family/subgroup/figures/subgroup_prefix_bars_appendix.tex

@@ -0,0 +1,77 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\usetikzlibrary{patterns}
+\pgfplotsset{compat=1.18}
+
+\usepgfplotslibrary{groupplots}
+\definecolor{modelreal}{HTML}{000000}
+\definecolor{modelarf}{HTML}{777777}
+\definecolor{modelbayesnet}{HTML}{CCBB44}
+\definecolor{modelctgan}{HTML}{EE6677}
+\definecolor{modelforestdiffusion}{HTML}{228833}
+\definecolor{modelrealtabformer}{HTML}{332288}
+\definecolor{modeltabbyflow}{HTML}{882255}
+\definecolor{modeltabddpm}{HTML}{EE7733}
+\definecolor{modeltabdiff}{HTML}{AA3377}
+\definecolor{modeltabpfgen}{HTML}{009988}
+\definecolor{modeltabsyn}{HTML}{66CCEE}
+\definecolor{modeltvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{groupplot}[
+group style={group size=3 by 1, horizontal sep=1.15cm},
+width=5.0cm,
+height=7.0cm,
+ymin=0.0, ymax=1.0,
+ymajorgrids,
+grid style={draw=gray!20},
+major grid style={draw=gray!30},
+symbolic x coords={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+xtick=data,
+x tick label style={rotate=45, anchor=east, font=\scriptsize},
+tick style={draw=black!70},
+axis line style={draw=black!70},
+]
+\nextgroupplot[title={Categorical}, ylabel={Subgroup structure score}]
+\addplot+[ybar, bar width=7.0pt, draw=modelreal, fill=modelreal] coordinates { (REAL,1.0000) };
+\addplot+[ybar, bar width=7.0pt, draw=modelarf, fill=modelarf] coordinates { (ARF,0.8708) };
+\addplot+[ybar, bar width=7.0pt, draw=modelbayesnet, fill=modelbayesnet] coordinates { (BayesNet,0.8504) };
+\addplot+[ybar, bar width=7.0pt, draw=modelctgan, fill=modelctgan] coordinates { (CTGAN,0.8287) };
+\addplot+[ybar, bar width=7.0pt, draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (ForestDiffusion,0.8008) };
+\addplot+[ybar, bar width=7.0pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (RealTabFormer,0.8995) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (TabbyFlow,0.7579) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (TabDDPM,0.7889) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (TabDiff,0.8110) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (TabPFGen,0.8226) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (TabSyn,0.8282) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltvae, fill=modeltvae] coordinates { (TVAE,0.7619) };
+\nextgroupplot[title={Mixed}, ylabel={}]
+\addplot+[ybar, bar width=7.0pt, draw=modelreal, fill=modelreal] coordinates { (REAL,1.0000) };
+\addplot+[ybar, bar width=7.0pt, draw=modelarf, fill=modelarf] coordinates { (ARF,0.7553) };
+\addplot+[ybar, bar width=7.0pt, draw=modelbayesnet, fill=modelbayesnet] coordinates { (BayesNet,0.7641) };
+\addplot+[ybar, bar width=7.0pt, draw=modelctgan, fill=modelctgan] coordinates { (CTGAN,0.6638) };
+\addplot+[ybar, bar width=7.0pt, draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (ForestDiffusion,0.6939) };
+\addplot+[ybar, bar width=7.0pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (RealTabFormer,0.8099) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (TabbyFlow,0.7124) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (TabDDPM,0.6836) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (TabDiff,0.7513) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (TabPFGen,0.7511) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (TabSyn,0.7256) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltvae, fill=modeltvae] coordinates { (TVAE,0.5810) };
+\nextgroupplot[title={Numerical}, ylabel={}]
+\addplot+[ybar, bar width=7.0pt, draw=modelreal, fill=modelreal] coordinates { (REAL,1.0000) };
+\addplot+[ybar, bar width=7.0pt, draw=modelarf, fill=modelarf] coordinates { (ARF,0.4826) };
+\addplot+[ybar, bar width=7.0pt, draw=modelbayesnet, fill=modelbayesnet] coordinates { (BayesNet,0.5236) };
+\addplot+[ybar, bar width=7.0pt, draw=modelctgan, fill=modelctgan] coordinates { (CTGAN,0.4998) };
+\addplot+[ybar, bar width=7.0pt, draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (ForestDiffusion,0.4233) };
+\addplot+[ybar, bar width=7.0pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (RealTabFormer,0.6694) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (TabbyFlow,0.4325) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (TabDDPM,0.3743) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (TabDiff,0.4578) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (TabPFGen,0.4696) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (TabSyn,0.4737) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltvae, fill=modeltvae] coordinates { (TVAE,0.5392) };
+\end{groupplot}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/figures/subgroup_tradeoff_scatter_main.tex

@@ -0,0 +1,116 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\usetikzlibrary{patterns}
+\pgfplotsset{compat=1.18}
+
+\definecolor{modelreal}{HTML}{000000}
+\definecolor{modelarf}{HTML}{777777}
+\definecolor{modelbayesnet}{HTML}{CCBB44}
+\definecolor{modelctgan}{HTML}{EE6677}
+\definecolor{modelforestdiffusion}{HTML}{228833}
+\definecolor{modelrealtabformer}{HTML}{332288}
+\definecolor{modeltabbyflow}{HTML}{882255}
+\definecolor{modeltabddpm}{HTML}{EE7733}
+\definecolor{modeltabdiff}{HTML}{AA3377}
+\definecolor{modeltabpfgen}{HTML}{009988}
+\definecolor{modeltabsyn}{HTML}{66CCEE}
+\definecolor{modeltvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{axis}[
+width=14.6cm,
+height=8.4cm,
+ymin=0.0, ymax=1.03,
+xlabel={Model},
+ylabel={Score},
+ymajorgrids,
+grid style={draw=gray!20},
+major grid style={draw=gray!30},
+axis line style={draw=black!70},
+tick style={draw=black!70},
+symbolic x coords={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+xtick=data,
+xticklabel style={rotate=45, anchor=east, font=\scriptsize},
+legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
+]
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modelreal, fill=modelreal,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (REAL,1.0000) +- (0,0.0000) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modelreal, fill=white, pattern=north east lines, pattern color=modelreal,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (REAL,1.0000) +- (0,0.0000) };
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+coordinates { (ARF,0.6918) +- (0,0.0974) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modelarf, fill=white, pattern=north east lines, pattern color=modelarf,
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+coordinates { (ARF,0.7113) +- (0,0.0955) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modelbayesnet, fill=modelbayesnet,
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+coordinates { (BayesNet,0.7053) +- (0,0.0921) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modelbayesnet, fill=white, pattern=north east lines, pattern color=modelbayesnet,
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+coordinates { (BayesNet,0.7179) +- (0,0.0911) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modelctgan, fill=modelctgan,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (CTGAN,0.6580) +- (0,0.0991) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modelctgan, fill=white, pattern=north east lines, pattern color=modelctgan,
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+coordinates { (CTGAN,0.6843) +- (0,0.0900) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
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+coordinates { (ForestDiffusion,0.6142) +- (0,0.0965) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modelforestdiffusion, fill=white, pattern=north east lines, pattern color=modelforestdiffusion,
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+coordinates { (RealTabFormer,0.7898) +- (0,0.0736) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modelrealtabformer, fill=white, pattern=north east lines, pattern color=modelrealtabformer,
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+coordinates { (RealTabFormer,0.8049) +- (0,0.0690) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
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+coordinates { (TabbyFlow,0.6180) +- (0,0.0966) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltabbyflow, fill=white, pattern=north east lines, pattern color=modeltabbyflow,
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+coordinates { (TabDDPM,0.5865) +- (0,0.1158) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltabddpm, fill=white, pattern=north east lines, pattern color=modeltabddpm,
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+coordinates { (TabDDPM,0.6013) +- (0,0.1107) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltabdiff, fill=modeltabdiff,
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+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltabdiff, fill=white, pattern=north east lines, pattern color=modeltabdiff,
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+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
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+coordinates { (TabPFGen,0.6863) +- (0,0.1056) };
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+coordinates { (TabSyn,0.7106) +- (0,0.1012) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltvae, fill=modeltvae,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TVAE,0.6191) +- (0,0.0918) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltvae, fill=white, pattern=north east lines, pattern color=modeltvae,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TVAE,0.6644) +- (0,0.0854) };
+\addlegendimage{area legend, draw=black, fill=black}
+\addlegendentry{Internal profile stability}
+\addlegendimage{area legend, draw=black, fill=white, pattern=north east lines, pattern color=black}
+\addlegendentry{Subgroup size stability}
+\node[anchor=west, font=\scriptsize] at (rel axis cs:0.02,0.90) {$\uparrow$ better};
+\end{axis}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/final/README.md

@@ -0,0 +1,48 @@
+# Subgroup Breakdown Final
+
+This directory contains the paper-facing subgroup breakdown artifacts for `v2_current` (`v2`), with the standardized must-do bundle mirrored into `final/must_do/` and `final/v2/must_do/`.
+
+Primary paper-facing files:
+
+- `subgroup_tradeoff_scatter_main__v2.tex`
+- `subgroup_tradeoff_scatter_main__v2.pdf`
+- `subgroup_tradeoff_scatter_main__v2.png`
+- `subgroup_branch_dumbbell_main__v2.tex`
+- `subgroup_branch_dumbbell_main__v2.pdf`
+- `subgroup_branch_dumbbell_main__v2.png`
+- `subgroup_prefix_bars_appendix__v2.tex`
+- `subgroup_prefix_bars_appendix__v2.pdf`
+- `subgroup_prefix_bars_appendix__v2.png`
+- `subgroup_dataset_model_heatmap_appendix__v2.tex`
+- `subgroup_dataset_model_heatmap_appendix__v2.pdf`
+- `subgroup_dataset_model_heatmap_appendix__v2.png`
+- `subgroup_model_subitem_heatmap_appendix__v2.tex`
+- `subgroup_model_subitem_heatmap_appendix__v2.pdf`
+- `subgroup_model_subitem_heatmap_appendix__v2.png`
+- `subgroup_family_subitem_bars_appendix__v2.tex`
+- `subgroup_family_subitem_bars_appendix__v2.pdf`
+- `subgroup_family_subitem_bars_appendix__v2.png`
+- `subgroup_model_summary_generated__v2.tex`
+- `model_summary__v2.csv`
+- `prefix_summary__v2.csv`
+
+Must-do bundle (`must_do/`):
+
+- `must_do/subgroup_tradeoff_scatter_main__v2.tex`
+- `must_do/subgroup_tradeoff_scatter_main__v2.pdf`
+- `must_do/subgroup_tradeoff_scatter_main__v2.png`
+- `must_do/subgroup_prefix_bars_appendix__v2.tex`
+- `must_do/subgroup_prefix_bars_appendix__v2.pdf`
+- `must_do/subgroup_prefix_bars_appendix__v2.png`
+- `must_do/subgroup_dataset_model_heatmap_appendix__v2.tex`
+- `must_do/subgroup_dataset_model_heatmap_appendix__v2.pdf`
+- `must_do/subgroup_dataset_model_heatmap_appendix__v2.png`
+- `must_do/subgroup_model_subitem_heatmap_appendix__v2.tex`
+- `must_do/subgroup_model_subitem_heatmap_appendix__v2.pdf`
+- `must_do/subgroup_model_subitem_heatmap_appendix__v2.png`
+- `must_do/subgroup_family_subitem_bars_appendix__v2.tex`
+- `must_do/subgroup_family_subitem_bars_appendix__v2.pdf`
+- `must_do/subgroup_family_subitem_bars_appendix__v2.png`
+
+The active SQL source for this final bundle is `v2_current` (`v2`).
+The `.tex` files are standalone LaTeX sources. The `.pdf/.png` files are immediate previews for reading in the current environment.

evaluation/query_family/subgroup/final/analysis_report__v2.md

@@ -0,0 +1,36 @@
+# Subgroup Breakdown Report
+
+## Scope
+
+- Source analysis run: `20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49`
+- Family analyzed: `subgroup_structure`
+- Excluded models: `cdtd, codi, goggle`
+- Included models: `12`
+- Deduplicated dataset-model panels: `559`
+- Subgroup query rows used: `12515`
+
+## Canonical decomposition
+
+- `subgroup_structure = 0.5 * internal_profile_stability + 0.5 * subgroup_size_stability`
+- `internal_profile_stability` captures subgroup-internal feature/distribution behavior.
+- `subgroup_size_stability` captures whether subgroup support/size structure is preserved.
+
+## Main findings
+
+1. `REAL` is the expected perfect upper bound with subgroup score `1.000`. Among synthetic generators, `RealTabFormer` is strongest with mean subgroup score `0.790` across `49` datasets.
+2. `BayesNet` leans most toward internal-profile preservation (profile minus size = `0.002`), while `ForestDiffusion` is the clearest size-heavy model (profile minus size = `-0.033`).
+3. `TabDDPM` is the most balanced model between the two subgroup branches with mean absolute branch gap `0.000`.
+4. Dataset difficulty is uneven: `n9` is the hardest dataset on subgroup score (`0.091` mean across models), while `c3` is the easiest (`1.000`).
+
+## Files to use first
+
+- `figures/subgroup_tradeoff_scatter_main.pdf`
+- `figures/subgroup_branch_dumbbell_main.pdf`
+- `figures/subgroup_prefix_bars_appendix.pdf`
+- `tables/subgroup_model_summary_generated.tex`
+- `data/model_summary.csv`
+
+## Prefix note
+
+- Prefix coverage summary rows: `36`
+- The `c / m / n` split is exported explicitly because subgroup behavior differs by dataset family, not just by overall model average.

evaluation/query_family/subgroup/final/model_summary__v2.csv

@@ -0,0 +1,13 @@
+model_id,model_label,dataset_count,dataset_prefixes,internal_profile_stability__mean,internal_profile_stability__std,internal_profile_stability__se,internal_profile_stability__ci95_low,internal_profile_stability__ci95_high,internal_profile_stability__ci95_radius,subgroup_size_stability__mean,subgroup_size_stability__std,subgroup_size_stability__se,subgroup_size_stability__ci95_low,subgroup_size_stability__ci95_high,subgroup_size_stability__ci95_radius,subgroup_structure_score__mean,subgroup_structure_score__std,subgroup_structure_score__se,subgroup_structure_score__ci95_low,subgroup_structure_score__ci95_high,subgroup_structure_score__ci95_radius,profile_minus_size__mean,profile_minus_size__std,profile_minus_size__se,profile_minus_size__ci95_low,profile_minus_size__ci95_high,profile_minus_size__ci95_radius
+real,REAL,49,"c,m,n",1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+arf,ARF,49,"c,m,n",0.691823,0.347951,0.049707,0.594396,0.789249,0.097426,0.711284,0.337711,0.048744,0.615744,0.806823,0.095539,0.694374,0.345097,0.0493,0.597746,0.791001,0.096627,-0.005208,0.097578,0.014084,-0.032813,0.022397,0.027605
+bayesnet,BayesNet,49,"c,m,n",0.705327,0.328912,0.046987,0.613232,0.797423,0.092095,0.71791,0.32201,0.046478,0.626813,0.809007,0.091097,0.704299,0.328232,0.04689,0.612394,0.796204,0.091905,0.002099,0.098408,0.014204,-0.025741,0.029939,0.02784
+ctgan,CTGAN,49,"c,m,n",0.657997,0.353802,0.050543,0.558933,0.757062,0.099065,0.684272,0.318042,0.045905,0.594298,0.774247,0.089975,0.664152,0.335732,0.047962,0.570147,0.758157,0.094005,-0.012567,0.130527,0.01884,-0.049493,0.024359,0.036926
+forestdiffusion,ForestDiffusion,49,"c,m,n",0.614168,0.344612,0.04923,0.517677,0.71066,0.096491,0.660166,0.335519,0.048428,0.565247,0.755085,0.094919,0.630431,0.340664,0.048666,0.535045,0.725817,0.095386,-0.033202,0.108514,0.015663,-0.063901,-0.002503,0.030699
+realtabformer,RealTabFormer,49,"c,m,n",0.789807,0.262948,0.037564,0.716182,0.863433,0.073625,0.804929,0.243997,0.035218,0.735901,0.873956,0.069027,0.79015,0.260209,0.037173,0.717291,0.863008,0.072859,-0.0007,0.067493,0.009742,-0.019794,0.018394,0.019094
+tabbyflow,TabbyFlow,46,"c,m,n",0.618007,0.334339,0.049296,0.521388,0.714626,0.096619,0.635508,0.33154,0.048883,0.539698,0.731319,0.09581,0.626758,0.330113,0.048673,0.531359,0.722156,0.095398,-0.017501,0.086621,0.012772,-0.042533,0.007531,0.025032
+tabddpm,TabDDPM,40,"c,m,n",0.586464,0.373769,0.059098,0.470632,0.702296,0.115832,0.601335,0.352847,0.056501,0.490594,0.712077,0.110742,0.586383,0.363952,0.057546,0.473593,0.699173,0.11279,0.000167,0.102626,0.016433,-0.032043,0.032376,0.032209
+tabdiff,TabDiff,44,"c,m,n",0.649159,0.336942,0.050796,0.549599,0.748719,0.09956,0.671455,0.332929,0.050771,0.571943,0.770966,0.099511,0.652927,0.337062,0.050814,0.553331,0.752522,0.099596,-0.00771,0.092258,0.014069,-0.035286,0.019865,0.027576
+tabpfgen,TabPFGen,46,"c,m,n",0.663403,0.358289,0.052827,0.559863,0.766944,0.103541,0.686325,0.361571,0.0539,0.580682,0.791969,0.105644,0.667404,0.359994,0.053078,0.563371,0.771437,0.104033,-0.00818,0.121754,0.01815,-0.043754,0.027394,0.035574
+tabsyn,TabSyn,40,"c,m,n",0.693785,0.324861,0.051365,0.593109,0.79446,0.100676,0.710633,0.322337,0.051615,0.609467,0.811799,0.101166,0.693614,0.326967,0.051698,0.592286,0.794942,0.101328,0.00035,0.09902,0.015856,-0.030727,0.031428,0.031077
+tvae,TVAE,49,"c,m,n",0.61906,0.327773,0.046825,0.527283,0.710836,0.091776,0.664407,0.301879,0.043572,0.579005,0.749809,0.085402,0.634954,0.314432,0.044919,0.546913,0.722995,0.088041,-0.03245,0.127273,0.01837,-0.068456,0.003555,0.036006

evaluation/query_family/subgroup/final/prefix_summary__v2.csv

@@ -0,0 +1,37 @@
+model_id,model_label,dataset_prefix,dataset_count,internal_profile_stability,subgroup_size_stability,subgroup_structure_score,profile_minus_size
+real,REAL,c,19,1.0,1.0,1.0,0.0
+real,REAL,m,11,1.0,1.0,1.0,0.0
+real,REAL,n,19,1.0,1.0,1.0,0.0
+arf,ARF,c,19,0.873723,0.867941,0.870832,0.005782
+arf,ARF,m,11,0.737465,0.773149,0.755307,-0.035684
+arf,ARF,n,19,0.483498,0.508116,0.482638,0.001816
+bayesnet,BayesNet,c,19,0.85064,0.850136,0.850388,0.000505
+bayesnet,BayesNet,m,11,0.754427,0.773684,0.764055,-0.019257
+bayesnet,BayesNet,n,19,0.531589,0.544254,0.523615,0.016834
+ctgan,CTGAN,c,19,0.830826,0.826636,0.828731,0.004189
+ctgan,CTGAN,m,11,0.627338,0.700176,0.663757,-0.072838
+ctgan,CTGAN,n,19,0.502919,0.52428,0.499803,0.006578
+forestdiffusion,ForestDiffusion,c,19,0.78309,0.818577,0.800834,-0.035487
+forestdiffusion,ForestDiffusion,m,11,0.667279,0.72048,0.69388,-0.053201
+forestdiffusion,ForestDiffusion,n,19,0.414499,0.456095,0.423294,-0.018569
+realtabformer,RealTabFormer,c,19,0.905805,0.893119,0.899462,0.012687
+realtabformer,RealTabFormer,m,11,0.808946,0.810894,0.80992,-0.001948
+realtabformer,RealTabFormer,n,19,0.662728,0.708194,0.669392,-0.014067
+tabbyflow,TabbyFlow,c,18,0.755472,0.76033,0.757901,-0.004858
+tabbyflow,TabbyFlow,m,11,0.696738,0.728005,0.712372,-0.031267
+tabbyflow,TabbyFlow,n,17,0.421512,0.443493,0.432503,-0.021981
+tabddpm,TabDDPM,c,13,0.797139,0.780626,0.788882,0.016514
+tabddpm,TabDDPM,m,10,0.675513,0.691741,0.683627,-0.016228
+tabddpm,TabDDPM,n,17,0.372978,0.399158,0.374328,-0.002869
+tabdiff,TabDiff,c,16,0.814657,0.807329,0.810993,0.007328
+tabdiff,TabDiff,m,10,0.736522,0.766033,0.751277,-0.029511
+tabdiff,TabDiff,n,18,0.453516,0.487939,0.457785,-0.00904
+tabpfgen,TabPFGen,c,17,0.832439,0.812847,0.822643,0.019592
+tabpfgen,TabPFGen,m,11,0.714777,0.7875,0.751138,-0.072723
+tabpfgen,TabPFGen,n,18,0.472363,0.494338,0.469619,0.005812
+tabsyn,TabSyn,c,17,0.833284,0.823078,0.828181,0.010206
+tabsyn,TabSyn,m,11,0.712105,0.73902,0.725563,-0.026915
+tabsyn,TabSyn,n,12,0.479367,0.508467,0.473691,0.012384
+tvae,TVAE,c,19,0.756844,0.767009,0.761926,-0.010165
+tvae,TVAE,m,11,0.554374,0.60763,0.581002,-0.053255
+tvae,TVAE,n,19,0.518725,0.590803,0.539217,-0.043259

evaluation/query_family/subgroup/final/subgroup_branch_dumbbell_main__v2.tex

@@ -0,0 +1,90 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\usetikzlibrary{patterns}
+\pgfplotsset{compat=1.18}
+
+\definecolor{modelreal}{HTML}{000000}
+\definecolor{modelarf}{HTML}{777777}
+\definecolor{modelbayesnet}{HTML}{CCBB44}
+\definecolor{modelctgan}{HTML}{EE6677}
+\definecolor{modelforestdiffusion}{HTML}{228833}
+\definecolor{modelrealtabformer}{HTML}{332288}
+\definecolor{modeltabbyflow}{HTML}{882255}
+\definecolor{modeltabddpm}{HTML}{EE7733}
+\definecolor{modeltabdiff}{HTML}{AA3377}
+\definecolor{modeltabpfgen}{HTML}{009988}
+\definecolor{modeltabsyn}{HTML}{66CCEE}
+\definecolor{modeltvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{axis}[
+width=13.2cm,
+height=9.8cm,
+xmin=0.15, xmax=1.03,
+ytick={12,11,10,9,8,7,6,5,4,3,2,1},
+yticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+y dir=reverse,
+xlabel={Score},
+grid=both,
+grid style={draw=gray!18},
+tick style={draw=black!70},
+legend style={draw=none, fill=none, font=\scriptsize, at={(0.03,0.03)}, anchor=south west},
+]
+\draw[line width=0.9pt, color=modelreal!70] (axis cs:1.0000,12) -- (axis cs:1.0000,12);
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+\addlegendimage{only marks, mark=square*, mark size=2.4pt, draw=black, fill=black}
+\addlegendentry{Subgroup size stability}
+\addlegendimage{only marks, mark=*, mark size=2.6pt, draw=black, fill=black}
+\addlegendentry{Internal profile stability}
+\addlegendimage{only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black}
+\addlegendentry{Canonical subgroup score}
+\end{axis}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/final/subgroup_dataset_model_heatmap_appendix__v2.tex

@@ -0,0 +1,62 @@
+\documentclass{standalone}
+\usepackage[table]{xcolor}
+\usepackage{booktabs}
+\begin{document}
+\scriptsize
+\setlength{\tabcolsep}{4pt}
+\begin{tabular}{lcccccccccccc}
+\toprule
+Dataset & REAL & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
+\midrule
+C2 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{0A1E5C} \\
+C3 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+C4 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{081D58} \\
+C5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{243F99} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{1E2E85} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{24439B} \\
+C6 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{34A9C3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{34A9C3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{32A6C2} \\
+C7 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{142670} \\
+C8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{11246B} \\
+C9 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{C2E7B4} & \cellcolor[HTML]{C2E7B4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{C2E7B4} \\
+C10 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} &  & \cellcolor[HTML]{102369} \\
+C11 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{11246B} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2161} \\
+C12 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2350A1} & \cellcolor[HTML]{081D58} &  &  &  & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{299DC1} \\
+C13 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{5FC1C0} \\
+C14 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{21318D} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{225DA8} \\
+C15 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{253595} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{1F78B4} & \cellcolor[HTML]{2070B0} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2165AB} &  & \cellcolor[HTML]{2260A9} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{2260A9} & \cellcolor[HTML]{32A6C2} \\
+C16 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{1E8ABD} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{1E8BBD} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{A7DCB7} &  & \cellcolor[HTML]{2DA2C2} &  & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{5FC1C0} \\
+C17 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{3CB1C3} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{A9DDB7} &  & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{1F7AB5} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{243D98} \\
+C18 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{269BC1} & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{9CD8B8} &  &  &  &  & \cellcolor[HTML]{259AC1} \\
+C19 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2258A5} & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{1F80B8} &  & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{2352A3} \\
+C20 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2258A5} &  & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+M1 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{21318D} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{11246B} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{1F7BB6} \\
+M2 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{3CB1C3} & \cellcolor[HTML]{55BEC1} & \cellcolor[HTML]{4CBAC2} &  & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} & \cellcolor[HTML]{4EBBC2} \\
+M4 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2259A6} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2259A6} \\
+M5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{35AAC3} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{B7E3B6} \\
+M6 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{A5DCB7} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{1E2E85} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{172976} & \cellcolor[HTML]{C0E6B5} \\
+M7 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{13266F} \\
+M8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{34A9C3} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{6BC6BE} \\
+M9 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{2DA2C2} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{225CA7} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{1E85BA} \\
+M10 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{253595} & \cellcolor[HTML]{24459C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{2352A3} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{253997} \\
+M11 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{67C4BE} \\
+M12 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2165AB} & \cellcolor[HTML]{1F80B8} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{206EB0} &  & \cellcolor[HTML]{2163AA} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{1D8EBF} \\
+N1 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+N2 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{081D58} &  & \cellcolor[HTML]{081D58} \\
+N3 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{D0EDB3} & \cellcolor[HTML]{D0EDB3} & \cellcolor[HTML]{EEF8B3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{DDF2B2} & \cellcolor[HTML]{DFF2B2} & \cellcolor[HTML]{DDF2B2} & \cellcolor[HTML]{E5F5B2} & \cellcolor[HTML]{CEECB3} & \cellcolor[HTML]{EEF8B3} \\
+N4 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{D5EFB3} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{CFECB3} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{73C8BD} &  & \cellcolor[HTML]{C6E9B4} \\
+N5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{89D1BA} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{39ADC3} & \cellcolor[HTML]{97D6B9} & \cellcolor[HTML]{EAF7B1} & \cellcolor[HTML]{89D1BA} & \cellcolor[HTML]{8CD2BA} &  & \cellcolor[HTML]{67C4BE} \\
+N6 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{D3EEB3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{D3EEB3} \\
+N7 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{33A7C2} &  & \cellcolor[HTML]{33A7C2} \\
+N8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{2296C1} & \cellcolor[HTML]{2498C1} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{35AAC3} & \cellcolor[HTML]{1F7AB5} & \cellcolor[HTML]{2296C1} &  & \cellcolor[HTML]{31A5C2} &  & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{35AAC3} \\
+N9 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} &  & \cellcolor[HTML]{FFFFD9} \\
+N10 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} &  & \cellcolor[HTML]{081D58} \\
+N11 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+N12 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{F5FBC2} & \cellcolor[HTML]{F5FBC2} &  & \cellcolor[HTML]{182A7A} \\
+N14 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F1FABB} &  & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED3} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED3} & \cellcolor[HTML]{FFFFD9} \\
+N15 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{EDF8B2} & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{216AAD} & \cellcolor[HTML]{9ED9B8} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{24479D} \\
+N16 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} \\
+N17 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{1D90C0} & \cellcolor[HTML]{259AC1} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{2075B3} &  & \cellcolor[HTML]{F4FBC1} & \cellcolor[HTML]{F4FBC1} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{2DA2C2} \\
+N18 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{EAF7B1} & \cellcolor[HTML]{E2F4B2} & \cellcolor[HTML]{E1F3B2} & \cellcolor[HTML]{E7F6B1} & \cellcolor[HTML]{BDE5B5} & \cellcolor[HTML]{E1F3B2} &  & \cellcolor[HTML]{E3F4B2} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{E3F4B2} & \cellcolor[HTML]{E5F5B2} \\
+N19 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{CEECB3} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{F9FDCC} & \cellcolor[HTML]{216DAF} & \cellcolor[HTML]{FBFDD0} & \cellcolor[HTML]{FBFDD0} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{1F7AB5} \\
+N20 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{2166AC} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} &  & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} \\
+\bottomrule
+\end{tabular}
+\end{document}

evaluation/query_family/subgroup/final/subgroup_family_subitem_bars_appendix__v2.tex

@@ -0,0 +1,66 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\pgfplotsset{compat=1.18}
+
+\definecolor{barreal}{HTML}{000000}
+\definecolor{bararf}{HTML}{777777}
+\definecolor{barbayesnet}{HTML}{CCBB44}
+\definecolor{barctgan}{HTML}{EE6677}
+\definecolor{barforestdiffusion}{HTML}{228833}
+\definecolor{barrealtabformer}{HTML}{332288}
+\definecolor{bartabbyflow}{HTML}{882255}
+\definecolor{bartabddpm}{HTML}{EE7733}
+\definecolor{bartabdiff}{HTML}{AA3377}
+\definecolor{bartabpfgen}{HTML}{009988}
+\definecolor{bartabsyn}{HTML}{66CCEE}
+\definecolor{bartvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{axis}[
+width=13.50cm,
+height=8.8cm,
+ymin=0.0, ymax=1.08,
+ylabel={Score},
+title={Subgroup family and subitem bars},
+ymajorgrids,
+grid style={draw=gray!22},
+major grid style={draw=gray!30},
+axis line style={draw=black!70},
+tick style={draw=black!70},
+xtick={0.0000,1.1000,2.2000,3.3000,4.4000,5.5000,6.6000,7.7000,8.8000,9.9000,11.0000,12.1000,14.5500,15.6500,16.7500,17.8500,18.9500,20.0500,21.1500,22.2500,23.3500,24.4500,25.5500,26.6500},
+xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE,REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+x tick label style={rotate=90, anchor=east, font=\scriptsize},
+enlarge x limits=0.01,
+clip=false,
+]
+\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(0.0000,1.000000)};
+\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(1.1000,0.691823)};
+\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(2.2000,0.705327)};
+\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(3.3000,0.657997)};
+\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(4.4000,0.614168)};
+\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(5.5000,0.789807)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(6.6000,0.618007)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(7.7000,0.586464)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(8.8000,0.649159)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(9.9000,0.663403)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(11.0000,0.693785)};
+\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(12.1000,0.619060)};
+\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(14.5500,1.000000)};
+\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(15.6500,0.711284)};
+\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(16.7500,0.717910)};
+\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(17.8500,0.684272)};
+\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(18.9500,0.660166)};
+\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(20.0500,0.804929)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(21.1500,0.635508)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(22.2500,0.601335)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(23.3500,0.671455)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(24.4500,0.686325)};
+\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(25.5500,0.710633)};
+\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(26.6500,0.664407)};
+\draw[dashed, gray!70, line width=0.6pt] (axis cs:13.8250,0) -- (axis cs:13.8250,1.08);
+\node[anchor=south, font=\bfseries\small] at (axis cs:6.0500,1.035) {Internal profile stability};
+\node[anchor=south, font=\bfseries\small] at (axis cs:20.6000,1.035) {Subgroup size stability};
+\end{axis}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/final/subgroup_model_subitem_heatmap_appendix__v2.tex

@@ -0,0 +1,20 @@
+\documentclass{standalone}
+\usepackage[table]{xcolor}
+\usepackage{xcolor}
+\usepackage{booktabs}
+
+\begin{document}
+\scriptsize
+\textbf{Subgroup model-subitem heatmap}\\[0.4em]
+\emph{Mean score, 0--1; missing cells stay white.}\\[0.5em]
+\setlength{\tabcolsep}{4pt}
+\begin{tabular}{lccccccccccc}
+\toprule
+Subitem & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
+\midrule
+Internal profile stability & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{2070B0} & \cellcolor[HTML]{1E83BA} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{2350A1} & \cellcolor[HTML]{1F93C0} & \cellcolor[HTML]{289CC1} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{1F93C0} \\
+Subgroup size stability & \cellcolor[HTML]{216DAF} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{1F78B4} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{234B9F} & \cellcolor[HTML]{1D8DBE} & \cellcolor[HTML]{2498C1} & \cellcolor[HTML]{1F7EB7} & \cellcolor[HTML]{1F78B4} & \cellcolor[HTML]{206EB0} & \cellcolor[HTML]{1F80B8} \\
+Family mean & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{2070B0} & \cellcolor[HTML]{1F80B8} & \cellcolor[HTML]{1D8EBF} & \cellcolor[HTML]{2350A1} & \cellcolor[HTML]{1D90C0} & \cellcolor[HTML]{289CC1} & \cellcolor[HTML]{1E85BA} & \cellcolor[HTML]{1F80B8} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{1D8DBE} \\
+\bottomrule
+\end{tabular}
+\end{document}

evaluation/query_family/subgroup/final/subgroup_model_summary_generated__v2.tex

@@ -0,0 +1,18 @@
+\begin{tabular}{lrrrr}
+\toprule
+Model & Subgroup score & Internal profile & Subgroup size & Datasets \\
+\midrule
+REAL & 1.000 & 1.000 & 1.000 & 49 \\
+ARF & 0.694 & 0.692 & 0.711 & 49 \\
+BayesNet & 0.704 & 0.705 & 0.718 & 49 \\
+CTGAN & 0.664 & 0.658 & 0.684 & 49 \\
+ForestDiffusion & 0.630 & 0.614 & 0.660 & 49 \\
+RealTabFormer & 0.790 & 0.790 & 0.805 & 49 \\
+TabbyFlow & 0.627 & 0.618 & 0.636 & 46 \\
+TabDDPM & 0.586 & 0.586 & 0.601 & 40 \\
+TabDiff & 0.653 & 0.649 & 0.671 & 44 \\
+TabPFGen & 0.667 & 0.663 & 0.686 & 46 \\
+TabSyn & 0.694 & 0.694 & 0.711 & 40 \\
+TVAE & 0.635 & 0.619 & 0.664 & 49 \\
+\bottomrule
+\end{tabular}

evaluation/query_family/subgroup/final/subgroup_prefix_bars_appendix__v2.tex

@@ -0,0 +1,77 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\usetikzlibrary{patterns}
+\pgfplotsset{compat=1.18}
+
+\usepgfplotslibrary{groupplots}
+\definecolor{modelreal}{HTML}{000000}
+\definecolor{modelarf}{HTML}{777777}
+\definecolor{modelbayesnet}{HTML}{CCBB44}
+\definecolor{modelctgan}{HTML}{EE6677}
+\definecolor{modelforestdiffusion}{HTML}{228833}
+\definecolor{modelrealtabformer}{HTML}{332288}
+\definecolor{modeltabbyflow}{HTML}{882255}
+\definecolor{modeltabddpm}{HTML}{EE7733}
+\definecolor{modeltabdiff}{HTML}{AA3377}
+\definecolor{modeltabpfgen}{HTML}{009988}
+\definecolor{modeltabsyn}{HTML}{66CCEE}
+\definecolor{modeltvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{groupplot}[
+group style={group size=3 by 1, horizontal sep=1.15cm},
+width=5.0cm,
+height=7.0cm,
+ymin=0.0, ymax=1.0,
+ymajorgrids,
+grid style={draw=gray!20},
+major grid style={draw=gray!30},
+symbolic x coords={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+xtick=data,
+x tick label style={rotate=45, anchor=east, font=\scriptsize},
+tick style={draw=black!70},
+axis line style={draw=black!70},
+]
+\nextgroupplot[title={Categorical}, ylabel={Subgroup structure score}]
+\addplot+[ybar, bar width=7.0pt, draw=modelreal, fill=modelreal] coordinates { (REAL,1.0000) };
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+\addplot+[ybar, bar width=7.0pt, draw=modeltvae, fill=modeltvae] coordinates { (TVAE,0.7619) };
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+\addplot+[ybar, bar width=7.0pt, draw=modelreal, fill=modelreal] coordinates { (REAL,1.0000) };
+\addplot+[ybar, bar width=7.0pt, draw=modelarf, fill=modelarf] coordinates { (ARF,0.7553) };
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+\addplot+[ybar, bar width=7.0pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (RealTabFormer,0.8099) };
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+\addplot+[ybar, bar width=7.0pt, draw=modeltvae, fill=modeltvae] coordinates { (TVAE,0.5810) };
+\nextgroupplot[title={Numerical}, ylabel={}]
+\addplot+[ybar, bar width=7.0pt, draw=modelreal, fill=modelreal] coordinates { (REAL,1.0000) };
+\addplot+[ybar, bar width=7.0pt, draw=modelarf, fill=modelarf] coordinates { (ARF,0.4826) };
+\addplot+[ybar, bar width=7.0pt, draw=modelbayesnet, fill=modelbayesnet] coordinates { (BayesNet,0.5236) };
+\addplot+[ybar, bar width=7.0pt, draw=modelctgan, fill=modelctgan] coordinates { (CTGAN,0.4998) };
+\addplot+[ybar, bar width=7.0pt, draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (ForestDiffusion,0.4233) };
+\addplot+[ybar, bar width=7.0pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (RealTabFormer,0.6694) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (TabbyFlow,0.4325) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (TabDDPM,0.3743) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (TabDiff,0.4578) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (TabPFGen,0.4696) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (TabSyn,0.4737) };
+\addplot+[ybar, bar width=7.0pt, draw=modeltvae, fill=modeltvae] coordinates { (TVAE,0.5392) };
+\end{groupplot}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/final/subgroup_tradeoff_scatter_main__v2.tex

@@ -0,0 +1,116 @@
+\documentclass[tikz,border=4pt]{standalone}
+\usepackage{pgfplots}
+\usepackage{xcolor}
+\usetikzlibrary{patterns}
+\pgfplotsset{compat=1.18}
+
+\definecolor{modelreal}{HTML}{000000}
+\definecolor{modelarf}{HTML}{777777}
+\definecolor{modelbayesnet}{HTML}{CCBB44}
+\definecolor{modelctgan}{HTML}{EE6677}
+\definecolor{modelforestdiffusion}{HTML}{228833}
+\definecolor{modelrealtabformer}{HTML}{332288}
+\definecolor{modeltabbyflow}{HTML}{882255}
+\definecolor{modeltabddpm}{HTML}{EE7733}
+\definecolor{modeltabdiff}{HTML}{AA3377}
+\definecolor{modeltabpfgen}{HTML}{009988}
+\definecolor{modeltabsyn}{HTML}{66CCEE}
+\definecolor{modeltvae}{HTML}{4477AA}
+\begin{document}
+\begin{tikzpicture}
+\begin{axis}[
+width=14.6cm,
+height=8.4cm,
+ymin=0.0, ymax=1.03,
+xlabel={Model},
+ylabel={Score},
+ymajorgrids,
+grid style={draw=gray!20},
+major grid style={draw=gray!30},
+axis line style={draw=black!70},
+tick style={draw=black!70},
+symbolic x coords={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
+xtick=data,
+xticklabel style={rotate=45, anchor=east, font=\scriptsize},
+legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
+]
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modelreal, fill=modelreal,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (REAL,1.0000) +- (0,0.0000) };
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+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
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+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (BayesNet,0.7053) +- (0,0.0921) };
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+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (BayesNet,0.7179) +- (0,0.0911) };
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+coordinates { (CTGAN,0.6580) +- (0,0.0991) };
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+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TabDDPM,0.5865) +- (0,0.1158) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltabddpm, fill=white, pattern=north east lines, pattern color=modeltabddpm,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TabDDPM,0.6013) +- (0,0.1107) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltabdiff, fill=modeltabdiff,
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+coordinates { (TabDiff,0.6492) +- (0,0.0996) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltabdiff, fill=white, pattern=north east lines, pattern color=modeltabdiff,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
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+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TabPFGen,0.6634) +- (0,0.1035) };
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+coordinates { (TabPFGen,0.6863) +- (0,0.1056) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltabsyn, fill=modeltabsyn,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TabSyn,0.6938) +- (0,0.1007) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltabsyn, fill=white, pattern=north east lines, pattern color=modeltabsyn,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TabSyn,0.7106) +- (0,0.1012) };
+\addplot+[ybar, bar width=6.5pt, bar shift=-3.8pt, draw=modeltvae, fill=modeltvae,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TVAE,0.6191) +- (0,0.0918) };
+\addplot+[ybar, bar width=6.5pt, bar shift=3.8pt, draw=modeltvae, fill=white, pattern=north east lines, pattern color=modeltvae,
+error bars/.cd, y dir=both, y explicit, error bar style={line width=0.8pt}]
+coordinates { (TVAE,0.6644) +- (0,0.0854) };
+\addlegendimage{area legend, draw=black, fill=black}
+\addlegendentry{Internal profile stability}
+\addlegendimage{area legend, draw=black, fill=white, pattern=north east lines, pattern color=black}
+\addlegendentry{Subgroup size stability}
+\node[anchor=west, font=\scriptsize] at (rel axis cs:0.02,0.90) {$\uparrow$ better};
+\end{axis}
+\end{tikzpicture}
+\end{document}

evaluation/query_family/subgroup/final/v2/subgroup_model_summary_generated__v2.tex

@@ -0,0 +1,18 @@
+\begin{tabular}{lrrrr}
+\toprule
+Model & Subgroup score & Internal profile & Subgroup size & Datasets \\
+\midrule
+REAL & 1.000 & 1.000 & 1.000 & 49 \\
+ARF & 0.694 & 0.692 & 0.711 & 49 \\
+BayesNet & 0.704 & 0.705 & 0.718 & 49 \\
+CTGAN & 0.664 & 0.658 & 0.684 & 49 \\
+ForestDiffusion & 0.630 & 0.614 & 0.660 & 49 \\
+RealTabFormer & 0.790 & 0.790 & 0.805 & 49 \\
+TabbyFlow & 0.627 & 0.618 & 0.636 & 46 \\
+TabDDPM & 0.586 & 0.586 & 0.601 & 40 \\
+TabDiff & 0.653 & 0.649 & 0.671 & 44 \\
+TabPFGen & 0.667 & 0.663 & 0.686 & 46 \\
+TabSyn & 0.694 & 0.694 & 0.711 & 40 \\
+TVAE & 0.635 & 0.619 & 0.664 & 49 \\
+\bottomrule
+\end{tabular}

evaluation/query_family/subgroup/manifest.json

@@ -0,0 +1,54 @@
+{
+  "task": "subgroup_breakdown",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "source_analysis_run": "20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49",
+  "excluded_models": [
+    "cdtd",
+    "codi",
+    "goggle"
+  ],
+  "included_models": [
+    "real",
+    "arf",
+    "bayesnet",
+    "ctgan",
+    "forestdiffusion",
+    "realtabformer",
+    "tabbyflow",
+    "tabddpm",
+    "tabdiff",
+    "tabpfgen",
+    "tabsyn",
+    "tvae"
+  ],
+  "dataset_panel_count": 559,
+  "query_row_count": 12515,
+  "compile_notes": {
+    "tradeoff": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "dumbbell": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "prefix_bars": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "heatmap": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "model_subitem_heatmap": {
+      "success": false,
+      "note": "latexmk not available"
+    },
+    "family_subitem_bars": {
+      "success": false,
+      "note": "latexmk not available"
+    }
+  },
+  "publish_final": true
+}

evaluation/query_family/subgroup/tables/subgroup_model_summary_generated.tex

@@ -0,0 +1,18 @@
+\begin{tabular}{lrrrr}
+\toprule
+Model & Subgroup score & Internal profile & Subgroup size & Datasets \\
+\midrule
+REAL & 1.000 & 1.000 & 1.000 & 49 \\
+ARF & 0.694 & 0.692 & 0.711 & 49 \\
+BayesNet & 0.704 & 0.705 & 0.718 & 49 \\
+CTGAN & 0.664 & 0.658 & 0.684 & 49 \\
+ForestDiffusion & 0.630 & 0.614 & 0.660 & 49 \\
+RealTabFormer & 0.790 & 0.790 & 0.805 & 49 \\
+TabbyFlow & 0.627 & 0.618 & 0.636 & 46 \\
+TabDDPM & 0.586 & 0.586 & 0.601 & 40 \\
+TabDiff & 0.653 & 0.649 & 0.671 & 44 \\
+TabPFGen & 0.667 & 0.663 & 0.686 & 46 \\
+TabSyn & 0.694 & 0.694 & 0.711 & 40 \\
+TVAE & 0.635 & 0.619 & 0.664 & 49 \\
+\bottomrule
+\end{tabular}