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Browse files- evaluation/query_family/conditional/final/must_do/conditional_dataset_model_heatmap_appendix__v2.tex +59 -0
- evaluation/query_family/conditional/final/must_do/conditional_family_subitem_bars_appendix__v2.tex +80 -0
- evaluation/query_family/conditional/final/must_do/conditional_model_subitem_heatmap_appendix__v2.tex +21 -0
- evaluation/query_family/conditional/final/must_do/conditional_prefix_bars_appendix__v2.tex +77 -0
- evaluation/query_family/conditional/final/must_do/conditional_tradeoff_scatter_main__v2.tex +89 -0
- evaluation/query_family/conditional/final/v2/analysis_report__v2.md +43 -0
- evaluation/query_family/conditional/final/v2/conditional_branch_dumbbell_main__v2.tex +99 -0
- evaluation/query_family/conditional/final/v2/conditional_dataset_model_heatmap_appendix__v2.tex +59 -0
- evaluation/query_family/conditional/final/v2/conditional_family_subitem_bars_appendix__v2.tex +80 -0
- evaluation/query_family/conditional/final/v2/conditional_strength_vs_subgroup_bridge__v2.tex +89 -0
- evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter__c__v2.tex +58 -0
- evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter__m__v2.tex +89 -0
- evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter__n__v2.tex +89 -0
- evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter_main__v2.tex +89 -0
- evaluation/query_family/conditional/final/v2/conditional_tradeoff_scatter_main__v2.tex +89 -0
- evaluation/query_family/conditional/final/v2/model_summary__c__v2.csv +12 -0
- evaluation/query_family/conditional/final/v2/model_summary__n__v2.csv +12 -0
- evaluation/query_family/conditional/final/v2/model_summary__v2.csv +12 -0
- evaluation/query_family/conditional/final/v2/must_do/conditional_dataset_model_heatmap_appendix__v2.tex +59 -0
- evaluation/query_family/conditional/final/v2/must_do/conditional_family_subitem_bars_appendix__v2.tex +80 -0
- evaluation/query_family/conditional/final/v2/must_do/conditional_model_subitem_heatmap_appendix__v2.tex +21 -0
- evaluation/query_family/conditional/final/v2/must_do/conditional_prefix_bars_appendix__v2.tex +77 -0
- evaluation/query_family/conditional/final/v2/must_do/conditional_tradeoff_scatter_main__v2.tex +89 -0
- evaluation/query_family/conditional/final/v2/prefix_summary__v2.csv +34 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/README.md +32 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_locality_diagnostic.md +30 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_locality_summary.csv +4 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_locality_support_report.md +86 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_support_bucket_diagnostic.md +27 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_support_bucket_summary.csv +4 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_support_method_audit.csv +0 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_template_mapping.csv +7 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_by_model.svg +1729 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_by_model.tex +65 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_main.svg +1688 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_main.tex +53 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_support_combined.svg +1978 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_support_combined.tex +66 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_by_model.svg +1705 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_by_model.tex +65 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_main.svg +1588 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_main.tex +53 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/manifest.json +240 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/must_do/fig_conditional_locality_main.svg +1688 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/must_do/fig_conditional_locality_main.tex +53 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/must_do/fig_conditional_locality_support_combined.tex +66 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/paper_caption.txt +8 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/paper_paragraphs.md +5 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/table_conditional_locality_summary.tex +16 -0
- evaluation/query_family/conditional/locality_support_diagnostics/final/table_conditional_support_summary.tex +16 -0
evaluation/query_family/conditional/final/must_do/conditional_dataset_model_heatmap_appendix__v2.tex
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| 1 |
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\documentclass{standalone}
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| 2 |
+
\usepackage[table]{xcolor}
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| 3 |
+
\usepackage{booktabs}
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| 4 |
+
\begin{document}
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| 5 |
+
\scriptsize
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| 6 |
+
\setlength{\tabcolsep}{4pt}
|
| 7 |
+
\begin{tabular}{lccccccccccc}
|
| 8 |
+
\toprule
|
| 9 |
+
Dataset & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
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| 10 |
+
\midrule
|
| 11 |
+
C2 & \cellcolor[HTML]{152772} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{2352A3} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{0C2060} \\
|
| 12 |
+
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} \\
|
| 13 |
+
C4 & \cellcolor[HTML]{11246B} & \cellcolor[HTML]{172976} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{1B2C80} \\
|
| 14 |
+
C5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{1A2B7E} \\
|
| 15 |
+
C6 & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{2FA4C2} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{3EB3C4} & \cellcolor[HTML]{3DB2C4} \\
|
| 16 |
+
C7 & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{152772} \\
|
| 17 |
+
C8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{253595} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{243F99} \\
|
| 18 |
+
C9 & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F1FABA} & \cellcolor[HTML]{F1FABB} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F1FABA} \\
|
| 19 |
+
C10 & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{253795} & & \cellcolor[HTML]{24489D} \\
|
| 20 |
+
C11 & \cellcolor[HTML]{203089} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0D2161} \\
|
| 21 |
+
C14 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{B2E1B6} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1E8BBD} \\
|
| 22 |
+
C15 & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{34A9C3} & & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{87D0BA} \\
|
| 23 |
+
C16 & \cellcolor[HTML]{2260A9} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{259AC1} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{DDF2B2} & & \cellcolor[HTML]{6DC6BE} & & \cellcolor[HTML]{69C5BE} & \cellcolor[HTML]{B9E4B5} \\
|
| 24 |
+
C17 & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{D1EDB3} & & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{2260A9} \\
|
| 25 |
+
C18 & \cellcolor[HTML]{CDEBB4} & \cellcolor[HTML]{CFECB3} & \cellcolor[HTML]{BDE5B5} & \cellcolor[HTML]{C4E8B4} & \cellcolor[HTML]{1D90C0} & \cellcolor[HTML]{DFF2B2} & & & & & \cellcolor[HTML]{B4E2B6} \\
|
| 26 |
+
C19 & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{63C3BF} & & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{253B97} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{2EA3C2} \\
|
| 27 |
+
M1 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{24459C} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{1D91C0} \\
|
| 28 |
+
M2 & \cellcolor[HTML]{67C4BE} & \cellcolor[HTML]{5DC0C0} & \cellcolor[HTML]{67C4BE} & \cellcolor[HTML]{6DC6BE} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{71C8BD} & & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{69C5BE} \\
|
| 29 |
+
M4 & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{1F7EB7} \\
|
| 30 |
+
M5 & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{CEECB3} & \cellcolor[HTML]{8ED3BA} & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{B0E0B6} & \cellcolor[HTML]{A2DBB8} & \cellcolor[HTML]{65C3BF} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{D0EDB3} \\
|
| 31 |
+
M6 & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{2166AC} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{89D1BA} \\
|
| 32 |
+
M7 & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{2260A9} \\
|
| 33 |
+
M8 & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5DC0C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{59BFC0} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{75C9BD} \\
|
| 34 |
+
M9 & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{253494} & \cellcolor[HTML]{1E83BA} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{1D8EBF} & \cellcolor[HTML]{225CA7} & \cellcolor[HTML]{1E8ABD} & \cellcolor[HTML]{33A7C2} \\
|
| 35 |
+
M10 & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{289CC1} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{2351A2} & \cellcolor[HTML]{243392} \\
|
| 36 |
+
M11 & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{2FA4C2} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{92D5B9} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{6DC6BE} \\
|
| 37 |
+
M12 & \cellcolor[HTML]{69C5BE} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{50BBC2} & \cellcolor[HTML]{7ACBBC} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{35AAC3} & & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{53BDC1} \\
|
| 38 |
+
N1 & \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} \\
|
| 39 |
+
N2 & \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} \\
|
| 40 |
+
N3 & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{DAF0B3} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{D1EDB3} & \cellcolor[HTML]{D7EFB3} & \cellcolor[HTML]{D1EDB3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{B4E2B6} & \cellcolor[HTML]{EDF8B1} \\
|
| 41 |
+
N4 & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{D3EEB3} & \cellcolor[HTML]{65C3BF} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{B9E4B5} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5BC0C0} & & \cellcolor[HTML]{B9E4B5} \\
|
| 42 |
+
N5 & \cellcolor[HTML]{DCF1B2} & \cellcolor[HTML]{D4EEB3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{EFF9B5} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{DFF2B2} & \cellcolor[HTML]{F9FDCB} & \cellcolor[HTML]{E1F3B2} & \cellcolor[HTML]{EFF9B6} & & \cellcolor[HTML]{DDF2B2} \\
|
| 43 |
+
N6 & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{C8E9B4} \\
|
| 44 |
+
N7 & \cellcolor[HTML]{3DB2C4} & \cellcolor[HTML]{1F7AB5} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1D8DBE} & \cellcolor[HTML]{3EB3C4} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{1F7AB5} & & \cellcolor[HTML]{3AAEC3} \\
|
| 45 |
+
N8 & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{F2FABC} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{B2E1B6} & & \cellcolor[HTML]{D9F0B3} & & \cellcolor[HTML]{D9F0B3} & \cellcolor[HTML]{DAF0B3} \\
|
| 46 |
+
N9 & \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} \\
|
| 47 |
+
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} \\
|
| 48 |
+
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} \\
|
| 49 |
+
N12 & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & & \cellcolor[HTML]{234C9F} \\
|
| 50 |
+
N14 & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{FFFFD9} \\
|
| 51 |
+
N15 & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{216DAF} & \cellcolor[HTML]{F0F9B7} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{4CBAC2} & \cellcolor[HTML]{59BFC0} \\
|
| 52 |
+
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} \\
|
| 53 |
+
N17 & \cellcolor[HTML]{F7FCC6} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{2A9EC1} & & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{F7FCC6} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{4EBBC2} \\
|
| 54 |
+
N18 & \cellcolor[HTML]{EAF7B1} & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E7F6B1} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{E1F3B2} & & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E9F7B1} & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E7F6B1} \\
|
| 55 |
+
N19 & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{7CCCBB} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{71C8BD} & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{73C8BD} \\
|
| 56 |
+
N20 & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{2165AB} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} \\
|
| 57 |
+
\bottomrule
|
| 58 |
+
\end{tabular}
|
| 59 |
+
\end{document}
|
evaluation/query_family/conditional/final/must_do/conditional_family_subitem_bars_appendix__v2.tex
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
|
|
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|
|
|
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|
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|
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|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepackage{xcolor}
|
| 4 |
+
\pgfplotsset{compat=1.18}
|
| 5 |
+
|
| 6 |
+
\definecolor{barreal}{HTML}{000000}
|
| 7 |
+
\definecolor{bararf}{HTML}{777777}
|
| 8 |
+
\definecolor{barbayesnet}{HTML}{CCBB44}
|
| 9 |
+
\definecolor{barctgan}{HTML}{EE6677}
|
| 10 |
+
\definecolor{barforestdiffusion}{HTML}{228833}
|
| 11 |
+
\definecolor{barrealtabformer}{HTML}{332288}
|
| 12 |
+
\definecolor{bartabbyflow}{HTML}{882255}
|
| 13 |
+
\definecolor{bartabddpm}{HTML}{EE7733}
|
| 14 |
+
\definecolor{bartabdiff}{HTML}{AA3377}
|
| 15 |
+
\definecolor{bartabpfgen}{HTML}{009988}
|
| 16 |
+
\definecolor{bartabsyn}{HTML}{66CCEE}
|
| 17 |
+
\definecolor{bartvae}{HTML}{4477AA}
|
| 18 |
+
\begin{document}
|
| 19 |
+
\begin{tikzpicture}
|
| 20 |
+
\begin{axis}[
|
| 21 |
+
width=15.12cm,
|
| 22 |
+
height=8.8cm,
|
| 23 |
+
ymin=0.0, ymax=1.08,
|
| 24 |
+
ylabel={Score},
|
| 25 |
+
title={Conditional family and subitem bars},
|
| 26 |
+
ymajorgrids,
|
| 27 |
+
grid style={draw=gray!22},
|
| 28 |
+
major grid style={draw=gray!30},
|
| 29 |
+
axis line style={draw=black!70},
|
| 30 |
+
tick style={draw=black!70},
|
| 31 |
+
xtick={0.0000,1.1000,2.2000,3.3000,4.4000,5.5000,6.6000,7.7000,8.8000,9.9000,11.0000,12.1000,14.5500,15.6500,16.7500,17.8500,18.9500,20.0500,21.1500,22.2500,23.3500,24.4500,25.5500,26.6500,29.1000,30.2000,31.3000,32.4000,33.5000,34.6000,35.7000,36.8000,37.9000,39.0000,40.1000,41.2000},
|
| 32 |
+
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,REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
|
| 33 |
+
x tick label style={rotate=90, anchor=east, font=\scriptsize},
|
| 34 |
+
enlarge x limits=0.01,
|
| 35 |
+
clip=false,
|
| 36 |
+
]
|
| 37 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(0.0000,1.000000)};
|
| 38 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(1.1000,0.398508)};
|
| 39 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(2.2000,0.411394)};
|
| 40 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(3.3000,0.394348)};
|
| 41 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(4.4000,0.319302)};
|
| 42 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(5.5000,0.550771)};
|
| 43 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(6.6000,0.327734)};
|
| 44 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(7.7000,0.340070)};
|
| 45 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(8.8000,0.341388)};
|
| 46 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(9.9000,0.384788)};
|
| 47 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(11.0000,0.373930)};
|
| 48 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(12.1000,0.370008)};
|
| 49 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(14.5500,1.000000)};
|
| 50 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(15.6500,0.692817)};
|
| 51 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(16.7500,0.707886)};
|
| 52 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(17.8500,0.668259)};
|
| 53 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(18.9500,0.629311)};
|
| 54 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(20.0500,0.798648)};
|
| 55 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(21.1500,0.615482)};
|
| 56 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(22.2500,0.608457)};
|
| 57 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(23.3500,0.659497)};
|
| 58 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(24.4500,0.675145)};
|
| 59 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(25.5500,0.671617)};
|
| 60 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(26.6500,0.646445)};
|
| 61 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(29.1000,1.000000)};
|
| 62 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(30.2000,0.562109)};
|
| 63 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(31.3000,0.578142)};
|
| 64 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(32.4000,0.513350)};
|
| 65 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(33.5000,0.445180)};
|
| 66 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(34.6000,0.707718)};
|
| 67 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(35.7000,0.490401)};
|
| 68 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(36.8000,0.492264)};
|
| 69 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(37.9000,0.507640)};
|
| 70 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(39.0000,0.554063)};
|
| 71 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(40.1000,0.534691)};
|
| 72 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(41.2000,0.461115)};
|
| 73 |
+
\draw[dashed, gray!70, line width=0.6pt] (axis cs:13.8250,0) -- (axis cs:13.8250,1.08);
|
| 74 |
+
\draw[dashed, gray!70, line width=0.6pt] (axis cs:28.3750,0) -- (axis cs:28.3750,1.08);
|
| 75 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:6.0500,1.035) {Dependency strength similarity};
|
| 76 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:20.6000,1.035) {Direction consistency};
|
| 77 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:35.1500,1.035) {Slice-level consistency};
|
| 78 |
+
\end{axis}
|
| 79 |
+
\end{tikzpicture}
|
| 80 |
+
\end{document}
|
evaluation/query_family/conditional/final/must_do/conditional_model_subitem_heatmap_appendix__v2.tex
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
\documentclass{standalone}
|
| 2 |
+
\usepackage[table]{xcolor}
|
| 3 |
+
\usepackage{xcolor}
|
| 4 |
+
\usepackage{booktabs}
|
| 5 |
+
|
| 6 |
+
\begin{document}
|
| 7 |
+
\scriptsize
|
| 8 |
+
\textbf{Conditional model-subitem heatmap}\\[0.4em]
|
| 9 |
+
\emph{Mean score, 0--1; missing cells stay white.}\\[0.5em]
|
| 10 |
+
\setlength{\tabcolsep}{4pt}
|
| 11 |
+
\begin{tabular}{lccccccccccc}
|
| 12 |
+
\toprule
|
| 13 |
+
Subitem & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
|
| 14 |
+
\midrule
|
| 15 |
+
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} \\
|
| 16 |
+
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} \\
|
| 17 |
+
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} \\
|
| 18 |
+
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} \\
|
| 19 |
+
\bottomrule
|
| 20 |
+
\end{tabular}
|
| 21 |
+
\end{document}
|
evaluation/query_family/conditional/final/must_do/conditional_prefix_bars_appendix__v2.tex
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
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|
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|
|
|
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|
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|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelreal}{HTML}{000000}
|
| 9 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 10 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 11 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 12 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 13 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 14 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 15 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 16 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 17 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 18 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 19 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 20 |
+
\begin{document}
|
| 21 |
+
\begin{tikzpicture}
|
| 22 |
+
\begin{groupplot}[
|
| 23 |
+
group style={group size=3 by 1, horizontal sep=1.1cm},
|
| 24 |
+
width=4.2cm,
|
| 25 |
+
height=7.0cm,
|
| 26 |
+
ybar,
|
| 27 |
+
bar width=7pt,
|
| 28 |
+
ymin=0, ymax=1.02,
|
| 29 |
+
xtick=data,
|
| 30 |
+
x tick label style={rotate=45, anchor=east, font=\tiny},
|
| 31 |
+
tick label style={font=\scriptsize},
|
| 32 |
+
label style={font=\scriptsize},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
]
|
| 36 |
+
\nextgroupplot[title={Categorical}, ylabel={Derived subgroup score}, xtick={1,2,3,4,5,6,7,8,9,10,11,12}, xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE}]
|
| 37 |
+
\addplot+[draw=modelreal, fill=modelreal] coordinates { (1,1.0000) };
|
| 38 |
+
\addplot+[draw=modelarf, fill=modelarf] coordinates { (2,0.7944) };
|
| 39 |
+
\addplot+[draw=modelbayesnet, fill=modelbayesnet] coordinates { (3,0.7579) };
|
| 40 |
+
\addplot+[draw=modelctgan, fill=modelctgan] coordinates { (4,0.7494) };
|
| 41 |
+
\addplot+[draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (5,0.6621) };
|
| 42 |
+
\addplot+[draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (6,0.8572) };
|
| 43 |
+
\addplot+[draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (7,0.6598) };
|
| 44 |
+
\addplot+[draw=modeltabddpm, fill=modeltabddpm] coordinates { (8,0.7717) };
|
| 45 |
+
\addplot+[draw=modeltabdiff, fill=modeltabdiff] coordinates { (9,0.7252) };
|
| 46 |
+
\addplot+[draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (10,0.7886) };
|
| 47 |
+
\addplot+[draw=modeltabsyn, fill=modeltabsyn] coordinates { (11,0.7185) };
|
| 48 |
+
\addplot+[draw=modeltvae, fill=modeltvae] coordinates { (12,0.6794) };
|
| 49 |
+
\nextgroupplot[title={Mixed}, ylabel={Derived subgroup score}, xtick={1,2,3,4,5,6,7,8,9,10,11,12}, xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE}]
|
| 50 |
+
\addplot+[draw=modelreal, fill=modelreal] coordinates { (1,1.0000) };
|
| 51 |
+
\addplot+[draw=modelarf, fill=modelarf] coordinates { (2,0.6940) };
|
| 52 |
+
\addplot+[draw=modelbayesnet, fill=modelbayesnet] coordinates { (3,0.7234) };
|
| 53 |
+
\addplot+[draw=modelctgan, fill=modelctgan] coordinates { (4,0.6184) };
|
| 54 |
+
\addplot+[draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (5,0.6293) };
|
| 55 |
+
\addplot+[draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (6,0.8011) };
|
| 56 |
+
\addplot+[draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (7,0.6557) };
|
| 57 |
+
\addplot+[draw=modeltabddpm, fill=modeltabddpm] coordinates { (8,0.6123) };
|
| 58 |
+
\addplot+[draw=modeltabdiff, fill=modeltabdiff] coordinates { (9,0.6799) };
|
| 59 |
+
\addplot+[draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (10,0.6755) };
|
| 60 |
+
\addplot+[draw=modeltabsyn, fill=modeltabsyn] coordinates { (11,0.6633) };
|
| 61 |
+
\addplot+[draw=modeltvae, fill=modeltvae] coordinates { (12,0.5212) };
|
| 62 |
+
\nextgroupplot[title={Numerical}, ylabel={Derived subgroup score}, xtick={1,2,3,4,5,6,7,8,9,10,11,12}, xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE}]
|
| 63 |
+
\addplot+[draw=modelreal, fill=modelreal] coordinates { (1,1.0000) };
|
| 64 |
+
\addplot+[draw=modelarf, fill=modelarf] coordinates { (2,0.4418) };
|
| 65 |
+
\addplot+[draw=modelbayesnet, fill=modelbayesnet] coordinates { (3,0.4923) };
|
| 66 |
+
\addplot+[draw=modelctgan, fill=modelctgan] coordinates { (4,0.4365) };
|
| 67 |
+
\addplot+[draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (5,0.3769) };
|
| 68 |
+
\addplot+[draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (6,0.6245) };
|
| 69 |
+
\addplot+[draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (7,0.4008) };
|
| 70 |
+
\addplot+[draw=modeltabddpm, fill=modeltabddpm] coordinates { (8,0.3677) };
|
| 71 |
+
\addplot+[draw=modeltabdiff, fill=modeltabdiff] coordinates { (9,0.4097) };
|
| 72 |
+
\addplot+[draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (10,0.4357) };
|
| 73 |
+
\addplot+[draw=modeltabsyn, fill=modeltabsyn] coordinates { (11,0.4059) };
|
| 74 |
+
\addplot+[draw=modeltvae, fill=modeltvae] coordinates { (12,0.4640) };
|
| 75 |
+
\end{groupplot}
|
| 76 |
+
\end{tikzpicture}
|
| 77 |
+
\end{document}
|
evaluation/query_family/conditional/final/must_do/conditional_tradeoff_scatter_main__v2.tex
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{minipage}{13.2cm}
|
| 21 |
+
{\small Main paper-facing view.\par}
|
| 22 |
+
{\small Axes isolate the two subgroup-sensitive conditional branches; both directions include 95\% CI error bars.\par}
|
| 23 |
+
\vspace{0.4em}
|
| 24 |
+
\begin{tikzpicture}
|
| 25 |
+
\begin{axis}[
|
| 26 |
+
width=12.8cm,
|
| 27 |
+
height=9.4cm,
|
| 28 |
+
xmin=0.37, xmax=0.79,
|
| 29 |
+
ymin=0.53, ymax=0.88,
|
| 30 |
+
xlabel={Slice-level consistency},
|
| 31 |
+
ylabel={Direction consistency},
|
| 32 |
+
title={Conditional subgroup trade-off across canonical branches},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
major grid style={draw=gray!30},
|
| 36 |
+
axis line style={draw=black!70},
|
| 37 |
+
tick style={draw=black!70},
|
| 38 |
+
clip=false,
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.02,0.98)}, anchor=north west},
|
| 40 |
+
legend columns=2,
|
| 41 |
+
]
|
| 42 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelarf, fill=modelarf,
|
| 43 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 44 |
+
coordinates { (0.5621,0.6928) +- (0.1179,0.1024) };
|
| 45 |
+
\addlegendentry{ARF}
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet,
|
| 47 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 48 |
+
coordinates { (0.5781,0.7079) +- (0.1087,0.0989) };
|
| 49 |
+
\addlegendentry{BayesNet}
|
| 50 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelctgan, fill=modelctgan,
|
| 51 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 52 |
+
coordinates { (0.5133,0.6683) +- (0.1083,0.0993) };
|
| 53 |
+
\addlegendentry{CTGAN}
|
| 54 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
|
| 55 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 56 |
+
coordinates { (0.4452,0.6293) +- (0.1106,0.1016) };
|
| 57 |
+
\addlegendentry{ForestDiffusion}
|
| 58 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer,
|
| 59 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 60 |
+
coordinates { (0.7077,0.7986) +- (0.0867,0.0742) };
|
| 61 |
+
\addlegendentry{RealTabFormer}
|
| 62 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
|
| 63 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 64 |
+
coordinates { (0.4904,0.6155) +- (0.1091,0.1017) };
|
| 65 |
+
\addlegendentry{TabbyFlow}
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm,
|
| 67 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 68 |
+
coordinates { (0.4923,0.6085) +- (0.1254,0.1183) };
|
| 69 |
+
\addlegendentry{TabDDPM}
|
| 70 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff,
|
| 71 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 72 |
+
coordinates { (0.5076,0.6595) +- (0.1118,0.1060) };
|
| 73 |
+
\addlegendentry{TabDiff}
|
| 74 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
|
| 75 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 76 |
+
coordinates { (0.5541,0.6751) +- (0.1163,0.1073) };
|
| 77 |
+
\addlegendentry{TabPFGen}
|
| 78 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn,
|
| 79 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 80 |
+
coordinates { (0.5347,0.6716) +- (0.1213,0.1092) };
|
| 81 |
+
\addlegendentry{TabSyn}
|
| 82 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltvae, fill=modeltvae,
|
| 83 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 84 |
+
coordinates { (0.4611,0.6464) +- (0.1015,0.0913) };
|
| 85 |
+
\addlegendentry{TVAE}
|
| 86 |
+
\end{axis}
|
| 87 |
+
\end{tikzpicture}
|
| 88 |
+
\end{minipage}
|
| 89 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/analysis_report__v2.md
ADDED
|
@@ -0,0 +1,43 @@
|
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|
|
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|
|
|
|
| 1 |
+
# Conditional Breakdown Report
|
| 2 |
+
|
| 3 |
+
## Scope
|
| 4 |
+
|
| 5 |
+
- Source analysis run: `20260526_v2_official20_plus_c2patch_plus_subgroupconditionalrepair_merged49`
|
| 6 |
+
- Family analyzed: `conditional_dependency_structure`
|
| 7 |
+
- Excluded models: `cdtd, codi, goggle`
|
| 8 |
+
- Included models: `11` from the frozen README roster
|
| 9 |
+
- Deduplicated dataset-model panels: `510`
|
| 10 |
+
- Conditional query rows used: `25108`
|
| 11 |
+
|
| 12 |
+
## Canonical and derived views
|
| 13 |
+
|
| 14 |
+
- Canonical score: `mean(dependency_strength_similarity, direction_consistency, slice_level_consistency)`
|
| 15 |
+
- Derived subgroup score: `mean(direction_consistency, slice_level_consistency)`
|
| 16 |
+
- The derived score is not a replacement for the frozen contract; it isolates the two subgroup-sensitive conditional branches for paper analysis.
|
| 17 |
+
|
| 18 |
+
## Main findings
|
| 19 |
+
|
| 20 |
+
1. `RealTabFormer` is the strongest model on the subgroup-facing conditional view with mean derived subgroup score `0.748`.
|
| 21 |
+
2. Canonically, `RealTabFormer` leads the full conditional family with mean conditional score `0.671`.
|
| 22 |
+
3. `TVAE` is the most direction-heavy model (direction minus slice = `0.167`), while `RealTabFormer` is the most slice-heavy (`0.070`).
|
| 23 |
+
4. `TVAE` shows the largest strength-to-subgroup drop risk: its dependency-strength mean exceeds its subgroup-facing mean by `-0.197`.
|
| 24 |
+
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`).
|
| 25 |
+
|
| 26 |
+
## Files to use first
|
| 27 |
+
|
| 28 |
+
- `figures/conditional_subgroup_tradeoff_scatter_main.pdf`
|
| 29 |
+
- `figures/conditional_strength_vs_subgroup_bridge.pdf`
|
| 30 |
+
- `figures/conditional_branch_dumbbell_main.pdf`
|
| 31 |
+
- `tables/conditional_model_summary_generated.tex`
|
| 32 |
+
- `data/model_summary.csv`
|
| 33 |
+
|
| 34 |
+
## README compliance note
|
| 35 |
+
|
| 36 |
+
- All plotted models are restricted to the frozen README roster with fixed colors.
|
| 37 |
+
- Scatter plots now use legends instead of point-side model labels, matching the README figure annotation rule.
|
| 38 |
+
- Model order is fixed globally instead of being re-sorted by score.
|
| 39 |
+
|
| 40 |
+
## Prefix note
|
| 41 |
+
|
| 42 |
+
- Prefix coverage summary rows: `33`
|
| 43 |
+
- 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/final/v2/conditional_branch_dumbbell_main__v2.tex
ADDED
|
@@ -0,0 +1,99 @@
|
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|
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|
|
|
|
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|
|
|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{tikzpicture}
|
| 21 |
+
\begin{axis}[
|
| 22 |
+
width=14.0cm,
|
| 23 |
+
height=10.2cm,
|
| 24 |
+
xmin=0.10, xmax=0.95,
|
| 25 |
+
ytick={11,10,9,8,7,6,5,4,3,2,1},
|
| 26 |
+
yticklabels={ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
|
| 27 |
+
y dir=reverse,
|
| 28 |
+
xlabel={Score},
|
| 29 |
+
grid=both,
|
| 30 |
+
grid style={draw=gray!18},
|
| 31 |
+
tick style={draw=black!70},
|
| 32 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.03,0.03)}, anchor=south west},
|
| 33 |
+
]
|
| 34 |
+
\draw[line width=0.8pt, color=modelarf!65] (axis cs:0.6928,11) -- (axis cs:0.5621,11);
|
| 35 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modelarf, fill=modelarf] coordinates { (0.3985,11) };
|
| 36 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modelarf, fill=modelarf] coordinates { (0.6928,11) };
|
| 37 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modelarf, fill=modelarf] coordinates { (0.5621,11) };
|
| 38 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6248,11) };
|
| 39 |
+
\draw[line width=0.8pt, color=modelbayesnet!65] (axis cs:0.7079,10) -- (axis cs:0.5781,10);
|
| 40 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modelbayesnet, fill=modelbayesnet] coordinates { (0.4114,10) };
|
| 41 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modelbayesnet, fill=modelbayesnet] coordinates { (0.7079,10) };
|
| 42 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet] coordinates { (0.5781,10) };
|
| 43 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6399,10) };
|
| 44 |
+
\draw[line width=0.8pt, color=modelctgan!65] (axis cs:0.6683,9) -- (axis cs:0.5133,9);
|
| 45 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modelctgan, fill=modelctgan] coordinates { (0.3943,9) };
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modelctgan, fill=modelctgan] coordinates { (0.6683,9) };
|
| 47 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modelctgan, fill=modelctgan] coordinates { (0.5133,9) };
|
| 48 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.5888,9) };
|
| 49 |
+
\draw[line width=0.8pt, color=modelforestdiffusion!65] (axis cs:0.6293,8) -- (axis cs:0.4452,8);
|
| 50 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (0.3193,8) };
|
| 51 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (0.6293,8) };
|
| 52 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (0.4452,8) };
|
| 53 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.5364,8) };
|
| 54 |
+
\draw[line width=0.8pt, color=modelrealtabformer!65] (axis cs:0.7986,7) -- (axis cs:0.7077,7);
|
| 55 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (0.5508,7) };
|
| 56 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (0.7986,7) };
|
| 57 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (0.7077,7) };
|
| 58 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.7477,7) };
|
| 59 |
+
\draw[line width=0.8pt, color=modeltabbyflow!65] (axis cs:0.6155,6) -- (axis cs:0.4904,6);
|
| 60 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (0.3277,6) };
|
| 61 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (0.6155,6) };
|
| 62 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (0.4904,6) };
|
| 63 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.5587,6) };
|
| 64 |
+
\draw[line width=0.8pt, color=modeltabddpm!65] (axis cs:0.6085,5) -- (axis cs:0.4923,5);
|
| 65 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (0.3401,5) };
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (0.6085,5) };
|
| 67 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm] coordinates { (0.4923,5) };
|
| 68 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.5490,5) };
|
| 69 |
+
\draw[line width=0.8pt, color=modeltabdiff!65] (axis cs:0.6595,4) -- (axis cs:0.5076,4);
|
| 70 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (0.3414,4) };
|
| 71 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (0.6595,4) };
|
| 72 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff] coordinates { (0.5076,4) };
|
| 73 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.5826,4) };
|
| 74 |
+
\draw[line width=0.8pt, color=modeltabpfgen!65] (axis cs:0.6751,3) -- (axis cs:0.5541,3);
|
| 75 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (0.3848,3) };
|
| 76 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (0.6751,3) };
|
| 77 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (0.5541,3) };
|
| 78 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6119,3) };
|
| 79 |
+
\draw[line width=0.8pt, color=modeltabsyn!65] (axis cs:0.6716,2) -- (axis cs:0.5347,2);
|
| 80 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (0.3739,2) };
|
| 81 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (0.6716,2) };
|
| 82 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn] coordinates { (0.5347,2) };
|
| 83 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.6007,2) };
|
| 84 |
+
\draw[line width=0.8pt, color=modeltvae!65] (axis cs:0.6464,1) -- (axis cs:0.4611,1);
|
| 85 |
+
\addplot+[only marks, mark=square*, mark size=2.5pt, draw=modeltvae, fill=modeltvae] coordinates { (0.3700,1) };
|
| 86 |
+
\addplot+[only marks, mark=*, mark size=2.5pt, draw=modeltvae, fill=modeltvae] coordinates { (0.6464,1) };
|
| 87 |
+
\addplot+[only marks, mark=triangle*, mark size=2.8pt, draw=modeltvae, fill=modeltvae] coordinates { (0.4611,1) };
|
| 88 |
+
\addplot+[only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black] coordinates { (0.5526,1) };
|
| 89 |
+
\addlegendimage{only marks, mark=square*, mark size=2.5pt, draw=black, fill=black}
|
| 90 |
+
\addlegendentry{Dependency strength}
|
| 91 |
+
\addlegendimage{only marks, mark=*, mark size=2.5pt, draw=black, fill=black}
|
| 92 |
+
\addlegendentry{Direction consistency}
|
| 93 |
+
\addlegendimage{only marks, mark=triangle*, mark size=2.8pt, draw=black, fill=black}
|
| 94 |
+
\addlegendentry{Slice-level consistency}
|
| 95 |
+
\addlegendimage{only marks, mark=diamond*, mark size=2.6pt, draw=black, fill=black}
|
| 96 |
+
\addlegendentry{Derived subgroup score}
|
| 97 |
+
\end{axis}
|
| 98 |
+
\end{tikzpicture}
|
| 99 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_dataset_model_heatmap_appendix__v2.tex
ADDED
|
@@ -0,0 +1,59 @@
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|
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|
|
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|
|
|
| 1 |
+
\documentclass{standalone}
|
| 2 |
+
\usepackage[table]{xcolor}
|
| 3 |
+
\usepackage{booktabs}
|
| 4 |
+
\begin{document}
|
| 5 |
+
\scriptsize
|
| 6 |
+
\setlength{\tabcolsep}{4pt}
|
| 7 |
+
\begin{tabular}{lccccccccccc}
|
| 8 |
+
\toprule
|
| 9 |
+
Dataset & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
|
| 10 |
+
\midrule
|
| 11 |
+
C2 & \cellcolor[HTML]{152772} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{2352A3} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{0C2060} \\
|
| 12 |
+
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} \\
|
| 13 |
+
C4 & \cellcolor[HTML]{11246B} & \cellcolor[HTML]{172976} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{1B2C80} \\
|
| 14 |
+
C5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{1A2B7E} \\
|
| 15 |
+
C6 & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{2FA4C2} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{3EB3C4} & \cellcolor[HTML]{3DB2C4} \\
|
| 16 |
+
C7 & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{152772} \\
|
| 17 |
+
C8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{253595} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{243F99} \\
|
| 18 |
+
C9 & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F1FABA} & \cellcolor[HTML]{F1FABB} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F1FABA} \\
|
| 19 |
+
C10 & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{253795} & & \cellcolor[HTML]{24489D} \\
|
| 20 |
+
C11 & \cellcolor[HTML]{203089} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0D2161} \\
|
| 21 |
+
C14 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{B2E1B6} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1E8BBD} \\
|
| 22 |
+
C15 & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{34A9C3} & & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{87D0BA} \\
|
| 23 |
+
C16 & \cellcolor[HTML]{2260A9} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{259AC1} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{DDF2B2} & & \cellcolor[HTML]{6DC6BE} & & \cellcolor[HTML]{69C5BE} & \cellcolor[HTML]{B9E4B5} \\
|
| 24 |
+
C17 & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{D1EDB3} & & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{2260A9} \\
|
| 25 |
+
C18 & \cellcolor[HTML]{CDEBB4} & \cellcolor[HTML]{CFECB3} & \cellcolor[HTML]{BDE5B5} & \cellcolor[HTML]{C4E8B4} & \cellcolor[HTML]{1D90C0} & \cellcolor[HTML]{DFF2B2} & & & & & \cellcolor[HTML]{B4E2B6} \\
|
| 26 |
+
C19 & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{63C3BF} & & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{253B97} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{2EA3C2} \\
|
| 27 |
+
M1 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{24459C} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{1D91C0} \\
|
| 28 |
+
M2 & \cellcolor[HTML]{67C4BE} & \cellcolor[HTML]{5DC0C0} & \cellcolor[HTML]{67C4BE} & \cellcolor[HTML]{6DC6BE} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{71C8BD} & & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{69C5BE} \\
|
| 29 |
+
M4 & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{1F7EB7} \\
|
| 30 |
+
M5 & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{CEECB3} & \cellcolor[HTML]{8ED3BA} & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{B0E0B6} & \cellcolor[HTML]{A2DBB8} & \cellcolor[HTML]{65C3BF} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{D0EDB3} \\
|
| 31 |
+
M6 & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{2166AC} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{89D1BA} \\
|
| 32 |
+
M7 & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{2260A9} \\
|
| 33 |
+
M8 & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5DC0C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{59BFC0} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{75C9BD} \\
|
| 34 |
+
M9 & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{253494} & \cellcolor[HTML]{1E83BA} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{1D8EBF} & \cellcolor[HTML]{225CA7} & \cellcolor[HTML]{1E8ABD} & \cellcolor[HTML]{33A7C2} \\
|
| 35 |
+
M10 & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{289CC1} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{2351A2} & \cellcolor[HTML]{243392} \\
|
| 36 |
+
M11 & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{2FA4C2} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{92D5B9} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{6DC6BE} \\
|
| 37 |
+
M12 & \cellcolor[HTML]{69C5BE} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{50BBC2} & \cellcolor[HTML]{7ACBBC} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{35AAC3} & & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{53BDC1} \\
|
| 38 |
+
N1 & \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} \\
|
| 39 |
+
N2 & \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} \\
|
| 40 |
+
N3 & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{DAF0B3} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{D1EDB3} & \cellcolor[HTML]{D7EFB3} & \cellcolor[HTML]{D1EDB3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{B4E2B6} & \cellcolor[HTML]{EDF8B1} \\
|
| 41 |
+
N4 & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{D3EEB3} & \cellcolor[HTML]{65C3BF} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{B9E4B5} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5BC0C0} & & \cellcolor[HTML]{B9E4B5} \\
|
| 42 |
+
N5 & \cellcolor[HTML]{DCF1B2} & \cellcolor[HTML]{D4EEB3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{EFF9B5} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{DFF2B2} & \cellcolor[HTML]{F9FDCB} & \cellcolor[HTML]{E1F3B2} & \cellcolor[HTML]{EFF9B6} & & \cellcolor[HTML]{DDF2B2} \\
|
| 43 |
+
N6 & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{C8E9B4} \\
|
| 44 |
+
N7 & \cellcolor[HTML]{3DB2C4} & \cellcolor[HTML]{1F7AB5} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1D8DBE} & \cellcolor[HTML]{3EB3C4} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{1F7AB5} & & \cellcolor[HTML]{3AAEC3} \\
|
| 45 |
+
N8 & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{F2FABC} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{B2E1B6} & & \cellcolor[HTML]{D9F0B3} & & \cellcolor[HTML]{D9F0B3} & \cellcolor[HTML]{DAF0B3} \\
|
| 46 |
+
N9 & \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} \\
|
| 47 |
+
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} \\
|
| 48 |
+
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} \\
|
| 49 |
+
N12 & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & & \cellcolor[HTML]{234C9F} \\
|
| 50 |
+
N14 & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{FFFFD9} \\
|
| 51 |
+
N15 & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{216DAF} & \cellcolor[HTML]{F0F9B7} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{4CBAC2} & \cellcolor[HTML]{59BFC0} \\
|
| 52 |
+
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} \\
|
| 53 |
+
N17 & \cellcolor[HTML]{F7FCC6} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{2A9EC1} & & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{F7FCC6} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{4EBBC2} \\
|
| 54 |
+
N18 & \cellcolor[HTML]{EAF7B1} & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E7F6B1} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{E1F3B2} & & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E9F7B1} & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E7F6B1} \\
|
| 55 |
+
N19 & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{7CCCBB} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{71C8BD} & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{73C8BD} \\
|
| 56 |
+
N20 & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{2165AB} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} \\
|
| 57 |
+
\bottomrule
|
| 58 |
+
\end{tabular}
|
| 59 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_family_subitem_bars_appendix__v2.tex
ADDED
|
@@ -0,0 +1,80 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepackage{xcolor}
|
| 4 |
+
\pgfplotsset{compat=1.18}
|
| 5 |
+
|
| 6 |
+
\definecolor{barreal}{HTML}{000000}
|
| 7 |
+
\definecolor{bararf}{HTML}{777777}
|
| 8 |
+
\definecolor{barbayesnet}{HTML}{CCBB44}
|
| 9 |
+
\definecolor{barctgan}{HTML}{EE6677}
|
| 10 |
+
\definecolor{barforestdiffusion}{HTML}{228833}
|
| 11 |
+
\definecolor{barrealtabformer}{HTML}{332288}
|
| 12 |
+
\definecolor{bartabbyflow}{HTML}{882255}
|
| 13 |
+
\definecolor{bartabddpm}{HTML}{EE7733}
|
| 14 |
+
\definecolor{bartabdiff}{HTML}{AA3377}
|
| 15 |
+
\definecolor{bartabpfgen}{HTML}{009988}
|
| 16 |
+
\definecolor{bartabsyn}{HTML}{66CCEE}
|
| 17 |
+
\definecolor{bartvae}{HTML}{4477AA}
|
| 18 |
+
\begin{document}
|
| 19 |
+
\begin{tikzpicture}
|
| 20 |
+
\begin{axis}[
|
| 21 |
+
width=15.12cm,
|
| 22 |
+
height=8.8cm,
|
| 23 |
+
ymin=0.0, ymax=1.08,
|
| 24 |
+
ylabel={Score},
|
| 25 |
+
title={Conditional family and subitem bars},
|
| 26 |
+
ymajorgrids,
|
| 27 |
+
grid style={draw=gray!22},
|
| 28 |
+
major grid style={draw=gray!30},
|
| 29 |
+
axis line style={draw=black!70},
|
| 30 |
+
tick style={draw=black!70},
|
| 31 |
+
xtick={0.0000,1.1000,2.2000,3.3000,4.4000,5.5000,6.6000,7.7000,8.8000,9.9000,11.0000,12.1000,14.5500,15.6500,16.7500,17.8500,18.9500,20.0500,21.1500,22.2500,23.3500,24.4500,25.5500,26.6500,29.1000,30.2000,31.3000,32.4000,33.5000,34.6000,35.7000,36.8000,37.9000,39.0000,40.1000,41.2000},
|
| 32 |
+
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,REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
|
| 33 |
+
x tick label style={rotate=90, anchor=east, font=\scriptsize},
|
| 34 |
+
enlarge x limits=0.01,
|
| 35 |
+
clip=false,
|
| 36 |
+
]
|
| 37 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(0.0000,1.000000)};
|
| 38 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(1.1000,0.398508)};
|
| 39 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(2.2000,0.411394)};
|
| 40 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(3.3000,0.394348)};
|
| 41 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(4.4000,0.319302)};
|
| 42 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(5.5000,0.550771)};
|
| 43 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(6.6000,0.327734)};
|
| 44 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(7.7000,0.340070)};
|
| 45 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(8.8000,0.341388)};
|
| 46 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(9.9000,0.384788)};
|
| 47 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(11.0000,0.373930)};
|
| 48 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(12.1000,0.370008)};
|
| 49 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(14.5500,1.000000)};
|
| 50 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(15.6500,0.692817)};
|
| 51 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(16.7500,0.707886)};
|
| 52 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(17.8500,0.668259)};
|
| 53 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(18.9500,0.629311)};
|
| 54 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(20.0500,0.798648)};
|
| 55 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(21.1500,0.615482)};
|
| 56 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(22.2500,0.608457)};
|
| 57 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(23.3500,0.659497)};
|
| 58 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(24.4500,0.675145)};
|
| 59 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(25.5500,0.671617)};
|
| 60 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(26.6500,0.646445)};
|
| 61 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(29.1000,1.000000)};
|
| 62 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(30.2000,0.562109)};
|
| 63 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(31.3000,0.578142)};
|
| 64 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(32.4000,0.513350)};
|
| 65 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(33.5000,0.445180)};
|
| 66 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(34.6000,0.707718)};
|
| 67 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(35.7000,0.490401)};
|
| 68 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(36.8000,0.492264)};
|
| 69 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(37.9000,0.507640)};
|
| 70 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(39.0000,0.554063)};
|
| 71 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(40.1000,0.534691)};
|
| 72 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(41.2000,0.461115)};
|
| 73 |
+
\draw[dashed, gray!70, line width=0.6pt] (axis cs:13.8250,0) -- (axis cs:13.8250,1.08);
|
| 74 |
+
\draw[dashed, gray!70, line width=0.6pt] (axis cs:28.3750,0) -- (axis cs:28.3750,1.08);
|
| 75 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:6.0500,1.035) {Dependency strength similarity};
|
| 76 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:20.6000,1.035) {Direction consistency};
|
| 77 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:35.1500,1.035) {Slice-level consistency};
|
| 78 |
+
\end{axis}
|
| 79 |
+
\end{tikzpicture}
|
| 80 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_strength_vs_subgroup_bridge__v2.tex
ADDED
|
@@ -0,0 +1,89 @@
|
|
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|
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|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{minipage}{13.2cm}
|
| 21 |
+
{\small Derived subgroup score = mean(direction consistency, slice-level consistency).\par}
|
| 22 |
+
{\small This figure is analytical only and does not replace the frozen canonical conditional score.\par}
|
| 23 |
+
\vspace{0.4em}
|
| 24 |
+
\begin{tikzpicture}
|
| 25 |
+
\begin{axis}[
|
| 26 |
+
width=12.8cm,
|
| 27 |
+
height=9.4cm,
|
| 28 |
+
xmin=0.24, xmax=0.63,
|
| 29 |
+
ymin=0.46, ymax=0.83,
|
| 30 |
+
xlabel={Dependency strength similarity},
|
| 31 |
+
ylabel={Derived subgroup score},
|
| 32 |
+
title={How much conditional strength survives into subgroup slices},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
major grid style={draw=gray!30},
|
| 36 |
+
axis line style={draw=black!70},
|
| 37 |
+
tick style={draw=black!70},
|
| 38 |
+
clip=false,
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.02,0.98)}, anchor=north west},
|
| 40 |
+
legend columns=2,
|
| 41 |
+
]
|
| 42 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelarf, fill=modelarf,
|
| 43 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 44 |
+
coordinates { (0.3985,0.6248) +- (0.0942,0.1067) };
|
| 45 |
+
\addlegendentry{ARF}
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet,
|
| 47 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 48 |
+
coordinates { (0.4114,0.6399) +- (0.0878,0.1016) };
|
| 49 |
+
\addlegendentry{BayesNet}
|
| 50 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelctgan, fill=modelctgan,
|
| 51 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 52 |
+
coordinates { (0.3943,0.5888) +- (0.0848,0.1017) };
|
| 53 |
+
\addlegendentry{CTGAN}
|
| 54 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
|
| 55 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 56 |
+
coordinates { (0.3193,0.5364) +- (0.0898,0.1014) };
|
| 57 |
+
\addlegendentry{ForestDiffusion}
|
| 58 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer,
|
| 59 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 60 |
+
coordinates { (0.5508,0.7477) +- (0.0773,0.0802) };
|
| 61 |
+
\addlegendentry{RealTabFormer}
|
| 62 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
|
| 63 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 64 |
+
coordinates { (0.3277,0.5587) +- (0.0899,0.1025) };
|
| 65 |
+
\addlegendentry{TabbyFlow}
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm,
|
| 67 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 68 |
+
coordinates { (0.3401,0.5490) +- (0.1062,0.1208) };
|
| 69 |
+
\addlegendentry{TabDDPM}
|
| 70 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff,
|
| 71 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 72 |
+
coordinates { (0.3414,0.5826) +- (0.0932,0.1041) };
|
| 73 |
+
\addlegendentry{TabDiff}
|
| 74 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
|
| 75 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 76 |
+
coordinates { (0.3848,0.6119) +- (0.0920,0.1084) };
|
| 77 |
+
\addlegendentry{TabPFGen}
|
| 78 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn,
|
| 79 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 80 |
+
coordinates { (0.3739,0.6007) +- (0.0973,0.1110) };
|
| 81 |
+
\addlegendentry{TabSyn}
|
| 82 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltvae, fill=modeltvae,
|
| 83 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 84 |
+
coordinates { (0.3700,0.5526) +- (0.0830,0.0940) };
|
| 85 |
+
\addlegendentry{TVAE}
|
| 86 |
+
\end{axis}
|
| 87 |
+
\end{tikzpicture}
|
| 88 |
+
\end{minipage}
|
| 89 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter__c__v2.tex
ADDED
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| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelreal}{HTML}{000000}
|
| 9 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 10 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 11 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 12 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 13 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 14 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 15 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 16 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 17 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 18 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 19 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 20 |
+
\begin{document}
|
| 21 |
+
\begin{minipage}{14.5cm}
|
| 22 |
+
{\small Categorical datasets only.\par}
|
| 23 |
+
{\small Each model is decomposed into the three canonical conditional subitems.\par}
|
| 24 |
+
\vspace{0.4em}
|
| 25 |
+
\begin{tikzpicture}
|
| 26 |
+
\begin{axis}[
|
| 27 |
+
width=14.0cm,
|
| 28 |
+
height=8.8cm,
|
| 29 |
+
ybar,
|
| 30 |
+
bar width=5.5pt,
|
| 31 |
+
ymin=0, ymax=1,
|
| 32 |
+
xtick={1,2,3,4,5,6,7,8,9,10,11,12},
|
| 33 |
+
xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
|
| 34 |
+
x tick label style={rotate=45, anchor=east, font=\scriptsize},
|
| 35 |
+
tick label style={font=\scriptsize},
|
| 36 |
+
label style={font=\scriptsize},
|
| 37 |
+
ylabel={Score},
|
| 38 |
+
title={Conditional subitem breakdown within Categorical datasets},
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
|
| 40 |
+
legend columns=1,
|
| 41 |
+
grid=both,
|
| 42 |
+
grid style={draw=gray!20},
|
| 43 |
+
major grid style={draw=gray!30},
|
| 44 |
+
]
|
| 45 |
+
\addplot+[bar width=0.22, draw=modelreal, fill=modelreal, error bars/.cd, y dir=both, y explicit] coordinates { (0.780,1.0000) +- (0,0.0000) };
|
| 46 |
+
\addplot+[bar width=0.22, draw=modelreal, fill=white, pattern=north east lines, pattern color=modelreal, error bars/.cd, y dir=both, y explicit] coordinates { (1.000,1.0000) +- (0,0.0000) };
|
| 47 |
+
\addplot+[bar width=0.22, draw=modelreal, fill=white, pattern=crosshatch, pattern color=modelreal, error bars/.cd, y dir=both, y explicit] coordinates { (1.220,1.0000) +- (0,0.0000) };
|
| 48 |
+
\addlegendimage{area legend, draw=black, fill=black}
|
| 49 |
+
\addlegendentry{Dependency strength similarity}
|
| 50 |
+
\addlegendimage{area legend, draw=black, fill=white, pattern=north east lines, pattern color=black}
|
| 51 |
+
\addlegendentry{Direction consistency}
|
| 52 |
+
\addlegendimage{area legend, draw=black, fill=white, pattern=crosshatch, pattern color=black}
|
| 53 |
+
\addlegendentry{Slice-level consistency}
|
| 54 |
+
\node[anchor=west, font=\scriptsize] at (axis cs:0.32,0.995) {$\uparrow$ better};
|
| 55 |
+
\end{axis}
|
| 56 |
+
\end{tikzpicture}
|
| 57 |
+
\end{minipage}
|
| 58 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter__m__v2.tex
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{minipage}{13.2cm}
|
| 21 |
+
{\small Mixed datasets only.\par}
|
| 22 |
+
{\small Axes isolate the two subgroup-sensitive conditional branches; both directions include 95\% CI error bars.\par}
|
| 23 |
+
\vspace{0.4em}
|
| 24 |
+
\begin{tikzpicture}
|
| 25 |
+
\begin{axis}[
|
| 26 |
+
width=12.8cm,
|
| 27 |
+
height=9.4cm,
|
| 28 |
+
xmin=0.37, xmax=0.85,
|
| 29 |
+
ymin=0.51, ymax=0.91,
|
| 30 |
+
xlabel={Slice-level consistency},
|
| 31 |
+
ylabel={Direction consistency},
|
| 32 |
+
title={Conditional subgroup trade-off within Mixed datasets},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
major grid style={draw=gray!30},
|
| 36 |
+
axis line style={draw=black!70},
|
| 37 |
+
tick style={draw=black!70},
|
| 38 |
+
clip=false,
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.02,0.98)}, anchor=north west},
|
| 40 |
+
legend columns=2,
|
| 41 |
+
]
|
| 42 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelarf, fill=modelarf,
|
| 43 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 44 |
+
coordinates { (0.6336,0.7545) +- (0.1982,0.1551) };
|
| 45 |
+
\addlegendentry{ARF}
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet,
|
| 47 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 48 |
+
coordinates { (0.6686,0.7783) +- (0.1864,0.1605) };
|
| 49 |
+
\addlegendentry{BayesNet}
|
| 50 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelctgan, fill=modelctgan,
|
| 51 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 52 |
+
coordinates { (0.5704,0.6664) +- (0.1727,0.1626) };
|
| 53 |
+
\addlegendentry{CTGAN}
|
| 54 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
|
| 55 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 56 |
+
coordinates { (0.5725,0.6861) +- (0.1712,0.1445) };
|
| 57 |
+
\addlegendentry{ForestDiffusion}
|
| 58 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer,
|
| 59 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 60 |
+
coordinates { (0.7704,0.8318) +- (0.1287,0.1189) };
|
| 61 |
+
\addlegendentry{RealTabFormer}
|
| 62 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
|
| 63 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 64 |
+
coordinates { (0.6062,0.7053) +- (0.1665,0.1464) };
|
| 65 |
+
\addlegendentry{TabbyFlow}
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm,
|
| 67 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 68 |
+
coordinates { (0.5687,0.6559) +- (0.1463,0.1536) };
|
| 69 |
+
\addlegendentry{TabDDPM}
|
| 70 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff,
|
| 71 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 72 |
+
coordinates { (0.6326,0.7271) +- (0.1792,0.1647) };
|
| 73 |
+
\addlegendentry{TabDiff}
|
| 74 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
|
| 75 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 76 |
+
coordinates { (0.6267,0.7242) +- (0.1613,0.1343) };
|
| 77 |
+
\addlegendentry{TabPFGen}
|
| 78 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn,
|
| 79 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 80 |
+
coordinates { (0.6148,0.7119) +- (0.1723,0.1448) };
|
| 81 |
+
\addlegendentry{TabSyn}
|
| 82 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltvae, fill=modeltvae,
|
| 83 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 84 |
+
coordinates { (0.4531,0.5893) +- (0.1137,0.1339) };
|
| 85 |
+
\addlegendentry{TVAE}
|
| 86 |
+
\end{axis}
|
| 87 |
+
\end{tikzpicture}
|
| 88 |
+
\end{minipage}
|
| 89 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter__n__v2.tex
ADDED
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| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{minipage}{13.2cm}
|
| 21 |
+
{\small Numerical datasets only.\par}
|
| 22 |
+
{\small Axes isolate the two subgroup-sensitive conditional branches; both directions include 95\% CI error bars.\par}
|
| 23 |
+
\vspace{0.4em}
|
| 24 |
+
\begin{tikzpicture}
|
| 25 |
+
\begin{axis}[
|
| 26 |
+
width=12.8cm,
|
| 27 |
+
height=9.4cm,
|
| 28 |
+
xmin=0.22, xmax=0.65,
|
| 29 |
+
ymin=0.36, ymax=0.79,
|
| 30 |
+
xlabel={Slice-level consistency},
|
| 31 |
+
ylabel={Direction consistency},
|
| 32 |
+
title={Conditional subgroup trade-off within Numerical datasets},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
major grid style={draw=gray!30},
|
| 36 |
+
axis line style={draw=black!70},
|
| 37 |
+
tick style={draw=black!70},
|
| 38 |
+
clip=false,
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.02,0.98)}, anchor=north west},
|
| 40 |
+
legend columns=2,
|
| 41 |
+
]
|
| 42 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelarf, fill=modelarf,
|
| 43 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 44 |
+
coordinates { (0.3715,0.5403) +- (0.1879,0.1871) };
|
| 45 |
+
\addlegendentry{ARF}
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet,
|
| 47 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 48 |
+
coordinates { (0.4331,0.5820) +- (0.1751,0.1819) };
|
| 49 |
+
\addlegendentry{BayesNet}
|
| 50 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelctgan, fill=modelctgan,
|
| 51 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 52 |
+
coordinates { (0.3856,0.5145) +- (0.1850,0.1799) };
|
| 53 |
+
\addlegendentry{CTGAN}
|
| 54 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
|
| 55 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 56 |
+
coordinates { (0.3047,0.4739) +- (0.1800,0.1875) };
|
| 57 |
+
\addlegendentry{ForestDiffusion}
|
| 58 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer,
|
| 59 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 60 |
+
coordinates { (0.5733,0.7133) +- (0.1525,0.1390) };
|
| 61 |
+
\addlegendentry{RealTabFormer}
|
| 62 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
|
| 63 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 64 |
+
coordinates { (0.3430,0.4587) +- (0.1718,0.1764) };
|
| 65 |
+
\addlegendentry{TabbyFlow}
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm,
|
| 67 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 68 |
+
coordinates { (0.3242,0.4369) +- (0.1980,0.1983) };
|
| 69 |
+
\addlegendentry{TabDDPM}
|
| 70 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff,
|
| 71 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 72 |
+
coordinates { (0.3402,0.5025) +- (0.1810,0.1892) };
|
| 73 |
+
\addlegendentry{TabDiff}
|
| 74 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
|
| 75 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 76 |
+
coordinates { (0.3728,0.5279) +- (0.2019,0.2061) };
|
| 77 |
+
\addlegendentry{TabPFGen}
|
| 78 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn,
|
| 79 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 80 |
+
coordinates { (0.3339,0.5191) +- (0.2439,0.2595) };
|
| 81 |
+
\addlegendentry{TabSyn}
|
| 82 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltvae, fill=modeltvae,
|
| 83 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 84 |
+
coordinates { (0.3929,0.5648) +- (0.1833,0.1737) };
|
| 85 |
+
\addlegendentry{TVAE}
|
| 86 |
+
\end{axis}
|
| 87 |
+
\end{tikzpicture}
|
| 88 |
+
\end{minipage}
|
| 89 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_subgroup_tradeoff_scatter_main__v2.tex
ADDED
|
@@ -0,0 +1,89 @@
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|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{minipage}{13.2cm}
|
| 21 |
+
{\small Main paper-facing view.\par}
|
| 22 |
+
{\small Axes isolate the two subgroup-sensitive conditional branches; both directions include 95\% CI error bars.\par}
|
| 23 |
+
\vspace{0.4em}
|
| 24 |
+
\begin{tikzpicture}
|
| 25 |
+
\begin{axis}[
|
| 26 |
+
width=12.8cm,
|
| 27 |
+
height=9.4cm,
|
| 28 |
+
xmin=0.37, xmax=0.79,
|
| 29 |
+
ymin=0.53, ymax=0.88,
|
| 30 |
+
xlabel={Slice-level consistency},
|
| 31 |
+
ylabel={Direction consistency},
|
| 32 |
+
title={Conditional subgroup trade-off across canonical branches},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
major grid style={draw=gray!30},
|
| 36 |
+
axis line style={draw=black!70},
|
| 37 |
+
tick style={draw=black!70},
|
| 38 |
+
clip=false,
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.02,0.98)}, anchor=north west},
|
| 40 |
+
legend columns=2,
|
| 41 |
+
]
|
| 42 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelarf, fill=modelarf,
|
| 43 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 44 |
+
coordinates { (0.5621,0.6928) +- (0.1179,0.1024) };
|
| 45 |
+
\addlegendentry{ARF}
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet,
|
| 47 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 48 |
+
coordinates { (0.5781,0.7079) +- (0.1087,0.0989) };
|
| 49 |
+
\addlegendentry{BayesNet}
|
| 50 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelctgan, fill=modelctgan,
|
| 51 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 52 |
+
coordinates { (0.5133,0.6683) +- (0.1083,0.0993) };
|
| 53 |
+
\addlegendentry{CTGAN}
|
| 54 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
|
| 55 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 56 |
+
coordinates { (0.4452,0.6293) +- (0.1106,0.1016) };
|
| 57 |
+
\addlegendentry{ForestDiffusion}
|
| 58 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer,
|
| 59 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 60 |
+
coordinates { (0.7077,0.7986) +- (0.0867,0.0742) };
|
| 61 |
+
\addlegendentry{RealTabFormer}
|
| 62 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
|
| 63 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 64 |
+
coordinates { (0.4904,0.6155) +- (0.1091,0.1017) };
|
| 65 |
+
\addlegendentry{TabbyFlow}
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm,
|
| 67 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 68 |
+
coordinates { (0.4923,0.6085) +- (0.1254,0.1183) };
|
| 69 |
+
\addlegendentry{TabDDPM}
|
| 70 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff,
|
| 71 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 72 |
+
coordinates { (0.5076,0.6595) +- (0.1118,0.1060) };
|
| 73 |
+
\addlegendentry{TabDiff}
|
| 74 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
|
| 75 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 76 |
+
coordinates { (0.5541,0.6751) +- (0.1163,0.1073) };
|
| 77 |
+
\addlegendentry{TabPFGen}
|
| 78 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn,
|
| 79 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 80 |
+
coordinates { (0.5347,0.6716) +- (0.1213,0.1092) };
|
| 81 |
+
\addlegendentry{TabSyn}
|
| 82 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltvae, fill=modeltvae,
|
| 83 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 84 |
+
coordinates { (0.4611,0.6464) +- (0.1015,0.0913) };
|
| 85 |
+
\addlegendentry{TVAE}
|
| 86 |
+
\end{axis}
|
| 87 |
+
\end{tikzpicture}
|
| 88 |
+
\end{minipage}
|
| 89 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/conditional_tradeoff_scatter_main__v2.tex
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{minipage}{13.2cm}
|
| 21 |
+
{\small Main paper-facing view.\par}
|
| 22 |
+
{\small Axes isolate the two subgroup-sensitive conditional branches; both directions include 95\% CI error bars.\par}
|
| 23 |
+
\vspace{0.4em}
|
| 24 |
+
\begin{tikzpicture}
|
| 25 |
+
\begin{axis}[
|
| 26 |
+
width=12.8cm,
|
| 27 |
+
height=9.4cm,
|
| 28 |
+
xmin=0.37, xmax=0.79,
|
| 29 |
+
ymin=0.53, ymax=0.88,
|
| 30 |
+
xlabel={Slice-level consistency},
|
| 31 |
+
ylabel={Direction consistency},
|
| 32 |
+
title={Conditional subgroup trade-off across canonical branches},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
major grid style={draw=gray!30},
|
| 36 |
+
axis line style={draw=black!70},
|
| 37 |
+
tick style={draw=black!70},
|
| 38 |
+
clip=false,
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.02,0.98)}, anchor=north west},
|
| 40 |
+
legend columns=2,
|
| 41 |
+
]
|
| 42 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelarf, fill=modelarf,
|
| 43 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 44 |
+
coordinates { (0.5621,0.6928) +- (0.1179,0.1024) };
|
| 45 |
+
\addlegendentry{ARF}
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet,
|
| 47 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 48 |
+
coordinates { (0.5781,0.7079) +- (0.1087,0.0989) };
|
| 49 |
+
\addlegendentry{BayesNet}
|
| 50 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelctgan, fill=modelctgan,
|
| 51 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 52 |
+
coordinates { (0.5133,0.6683) +- (0.1083,0.0993) };
|
| 53 |
+
\addlegendentry{CTGAN}
|
| 54 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
|
| 55 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 56 |
+
coordinates { (0.4452,0.6293) +- (0.1106,0.1016) };
|
| 57 |
+
\addlegendentry{ForestDiffusion}
|
| 58 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer,
|
| 59 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 60 |
+
coordinates { (0.7077,0.7986) +- (0.0867,0.0742) };
|
| 61 |
+
\addlegendentry{RealTabFormer}
|
| 62 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
|
| 63 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 64 |
+
coordinates { (0.4904,0.6155) +- (0.1091,0.1017) };
|
| 65 |
+
\addlegendentry{TabbyFlow}
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm,
|
| 67 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 68 |
+
coordinates { (0.4923,0.6085) +- (0.1254,0.1183) };
|
| 69 |
+
\addlegendentry{TabDDPM}
|
| 70 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff,
|
| 71 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 72 |
+
coordinates { (0.5076,0.6595) +- (0.1118,0.1060) };
|
| 73 |
+
\addlegendentry{TabDiff}
|
| 74 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
|
| 75 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 76 |
+
coordinates { (0.5541,0.6751) +- (0.1163,0.1073) };
|
| 77 |
+
\addlegendentry{TabPFGen}
|
| 78 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn,
|
| 79 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 80 |
+
coordinates { (0.5347,0.6716) +- (0.1213,0.1092) };
|
| 81 |
+
\addlegendentry{TabSyn}
|
| 82 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltvae, fill=modeltvae,
|
| 83 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 84 |
+
coordinates { (0.4611,0.6464) +- (0.1015,0.0913) };
|
| 85 |
+
\addlegendentry{TVAE}
|
| 86 |
+
\end{axis}
|
| 87 |
+
\end{tikzpicture}
|
| 88 |
+
\end{minipage}
|
| 89 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/model_summary__c__v2.csv
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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
|
| 2 |
+
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
|
| 3 |
+
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
|
| 4 |
+
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
|
| 5 |
+
c,Categorical,forestdiffusion,ForestDiffusion,19,0.508904,0.410994,0.094289,0.324099,0.69371,0.184806,0.765116,0.277404,0.069351,0.629188,0.901044,0.135928,0.529722,0.370573,0.095682,0.342186,0.717258,0.187536,0.568914,0.363163,0.083315,0.405616,0.732212,0.163298,0.662115,0.305697,0.076424,0.512324,0.811907,0.149791,0.219735,0.255798,0.066047,0.090283,0.349186,0.129452,-0.106891,0.159479,0.03987,-0.185036,-0.028747,0.078145
|
| 6 |
+
c,Categorical,realtabformer,RealTabFormer,19,0.730352,0.276932,0.063533,0.605828,0.854876,0.124524,0.871831,0.20995,0.052488,0.768956,0.974707,0.102876,0.832029,0.225245,0.058158,0.71804,0.946019,0.11399,0.785113,0.243394,0.055838,0.67567,0.894556,0.109443,0.857179,0.212983,0.053246,0.752818,0.961541,0.104362,0.031257,0.07233,0.018676,-0.005347,0.067861,0.036604,-0.097542,0.137816,0.034454,-0.165072,-0.030012,0.06753
|
| 7 |
+
c,Categorical,tabbyflow,TabbyFlow,18,0.50485,0.404515,0.095345,0.317974,0.691727,0.186876,0.720377,0.325553,0.081388,0.560857,0.879898,0.159521,0.572531,0.386454,0.099782,0.376958,0.768104,0.195573,0.587209,0.365778,0.086215,0.418229,0.75619,0.168981,0.659813,0.350052,0.087513,0.488287,0.831338,0.171525,0.129205,0.154932,0.040003,0.050799,0.207611,0.078406,-0.138981,0.215496,0.053874,-0.244574,-0.033388,0.105593
|
| 8 |
+
c,Categorical,tabddpm,TabDDPM,13,0.642624,0.415325,0.11519,0.416851,0.868397,0.225773,0.81479,0.297628,0.089738,0.638903,0.990677,0.175887,0.701572,0.364482,0.115259,0.475664,0.92748,0.225908,0.669457,0.387125,0.107369,0.459013,0.879901,0.210444,0.771746,0.32514,0.098033,0.579601,0.963892,0.192145,0.094697,0.098895,0.031273,0.033401,0.155993,0.061296,-0.047568,0.099991,0.030148,-0.106658,0.011523,0.059091
|
| 9 |
+
c,Categorical,tabdiff,TabDiff,16,0.542476,0.4035,0.100875,0.344761,0.740191,0.197715,0.792407,0.28467,0.073502,0.648344,0.93647,0.144063,0.633621,0.323327,0.086413,0.464252,0.80299,0.169369,0.634092,0.34023,0.085058,0.467379,0.800805,0.166713,0.725226,0.288175,0.074407,0.57939,0.871063,0.145837,0.143958,0.208988,0.055854,0.034484,0.253432,0.109474,-0.146585,0.238551,0.061594,-0.267309,-0.025862,0.120723
|
| 10 |
+
c,Categorical,tabpfgen,TabPFGen,17,0.642363,0.346973,0.084153,0.477422,0.807303,0.164941,0.815337,0.272359,0.072791,0.672667,0.958008,0.142671,0.743564,0.281975,0.078206,0.590281,0.896847,0.153283,0.682203,0.3366,0.081638,0.522194,0.842213,0.16001,0.788609,0.264322,0.070643,0.650148,0.92707,0.138461,0.057568,0.164039,0.045496,-0.031604,0.146741,0.089172,-0.072567,0.134416,0.035924,-0.142978,-0.002156,0.070411
|
| 11 |
+
c,Categorical,tabsyn,TabSyn,17,0.536195,0.38587,0.093587,0.352763,0.719626,0.183431,0.759827,0.277822,0.074251,0.614295,0.905359,0.145532,0.652274,0.315666,0.08755,0.480676,0.823872,0.171598,0.612264,0.328855,0.079759,0.455937,0.768592,0.156328,0.718469,0.285221,0.076228,0.569061,0.867877,0.149408,0.089078,0.179173,0.049694,-0.008321,0.186478,0.097399,-0.138556,0.239211,0.063932,-0.263862,-0.013249,0.125306
|
| 12 |
+
c,Categorical,tvae,TVAE,19,0.548648,0.36499,0.083734,0.384529,0.712768,0.164119,0.777613,0.252093,0.063023,0.654088,0.901138,0.123525,0.553352,0.352091,0.09091,0.375169,0.731535,0.178183,0.606235,0.319609,0.073323,0.462521,0.749949,0.143714,0.67944,0.296225,0.074056,0.53429,0.824591,0.14515,0.209435,0.178405,0.046064,0.11915,0.29972,0.090285,-0.102576,0.149097,0.037274,-0.175634,-0.029519,0.073058
|
evaluation/query_family/conditional/final/v2/model_summary__n__v2.csv
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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
|
| 2 |
+
n,Numerical,arf,ARF,19,0.151132,0.137617,0.032437,0.087556,0.214708,0.063576,0.540316,0.404935,0.095444,0.353245,0.727386,0.18707,0.371473,0.417793,0.095848,0.18361,0.559335,0.187863,0.342364,0.297965,0.068358,0.208382,0.476345,0.133981,0.441816,0.397943,0.091294,0.262879,0.620753,0.178937,0.148502,0.239911,0.056547,0.037669,0.259335,0.110833,-0.314933,0.3235,0.07625,-0.464382,-0.165483,0.14945
|
| 3 |
+
n,Numerical,bayesnet,BayesNet,19,0.220062,0.181589,0.042801,0.136172,0.303952,0.08389,0.581967,0.393696,0.092795,0.400088,0.763845,0.181878,0.433117,0.38949,0.089355,0.257981,0.608253,0.175136,0.397708,0.295841,0.067871,0.264682,0.530735,0.133027,0.492275,0.387642,0.088931,0.317969,0.66658,0.174305,0.124889,0.17739,0.041811,0.042939,0.206839,0.08195,-0.299461,0.329767,0.077727,-0.451805,-0.147116,0.152345
|
| 4 |
+
n,Numerical,ctgan,CTGAN,19,0.192399,0.148362,0.034969,0.123859,0.260939,0.06854,0.51452,0.389356,0.091772,0.334646,0.694393,0.179873,0.385552,0.41138,0.094377,0.200573,0.570531,0.184979,0.351755,0.299234,0.068649,0.217203,0.486307,0.134552,0.436496,0.398184,0.09135,0.257451,0.615542,0.179045,0.107548,0.137571,0.032426,0.043993,0.171102,0.063555,-0.268347,0.330293,0.077851,-0.420935,-0.115759,0.152588
|
| 5 |
+
n,Numerical,forestdiffusion,ForestDiffusion,19,0.139493,0.139217,0.032814,0.075178,0.203808,0.064315,0.473912,0.405867,0.095664,0.286411,0.661414,0.187501,0.304737,0.400202,0.091813,0.124784,0.484689,0.179953,0.295286,0.2926,0.067127,0.163717,0.426855,0.131569,0.376853,0.385511,0.088442,0.203506,0.5502,0.173347,0.152246,0.250839,0.059123,0.036365,0.268128,0.115882,-0.258297,0.301885,0.071155,-0.39776,-0.118833,0.139464
|
| 6 |
+
n,Numerical,realtabformer,RealTabFormer,19,0.359443,0.20019,0.047185,0.26696,0.451927,0.092483,0.713309,0.300906,0.070924,0.574297,0.852321,0.139012,0.573279,0.339115,0.077798,0.420795,0.725764,0.152485,0.529857,0.26053,0.05977,0.412709,0.647005,0.117148,0.624523,0.320025,0.073419,0.480622,0.768423,0.143901,0.108181,0.216594,0.051052,0.00812,0.208242,0.100061,-0.299775,0.26042,0.061382,-0.420083,-0.179467,0.120308
|
| 7 |
+
n,Numerical,tabbyflow,TabbyFlow,17,0.147371,0.14198,0.034435,0.079878,0.214864,0.067493,0.458665,0.371161,0.09002,0.282226,0.635104,0.176439,0.342994,0.361446,0.087663,0.171174,0.514815,0.17182,0.316343,0.269657,0.065402,0.188156,0.44453,0.128187,0.40083,0.352979,0.08561,0.233034,0.568625,0.167796,0.115671,0.196039,0.047546,0.02248,0.208862,0.093191,-0.253459,0.277131,0.067214,-0.385199,-0.121719,0.13174
|
| 8 |
+
n,Numerical,tabddpm,TabDDPM,17,0.129752,0.134113,0.033528,0.064036,0.195468,0.065716,0.436933,0.404649,0.101162,0.238655,0.635211,0.198278,0.324195,0.416606,0.101042,0.126153,0.522236,0.198042,0.285848,0.309051,0.074956,0.138935,0.432762,0.146914,0.367713,0.407068,0.098728,0.174205,0.561221,0.193508,0.092477,0.119001,0.02975,0.034166,0.150787,0.05831,-0.260943,0.309974,0.077493,-0.41283,-0.109056,0.151887
|
| 9 |
+
n,Numerical,tabdiff,TabDiff,18,0.158624,0.135157,0.03278,0.094374,0.222873,0.06425,0.502459,0.398082,0.096549,0.313223,0.691696,0.189236,0.340223,0.391782,0.092344,0.15923,0.521217,0.180994,0.324562,0.280764,0.066177,0.194856,0.454269,0.129706,0.409661,0.374509,0.088273,0.236647,0.582675,0.173014,0.147044,0.258102,0.062599,0.024351,0.269738,0.122694,-0.270313,0.306234,0.074273,-0.415888,-0.124739,0.145575
|
| 10 |
+
n,Numerical,tabpfgen,TabPFGen,18,0.157259,0.140587,0.034097,0.090428,0.22409,0.066831,0.527928,0.433475,0.105133,0.321867,0.733989,0.206061,0.372813,0.436996,0.103001,0.170931,0.574695,0.201882,0.339978,0.317022,0.074723,0.193521,0.486435,0.146457,0.435706,0.421683,0.099392,0.240898,0.630514,0.194808,0.133184,0.240289,0.058279,0.018958,0.24741,0.114226,-0.304077,0.335618,0.081399,-0.46362,-0.144534,0.159543
|
| 11 |
+
n,Numerical,tabsyn,TabSyn,12,0.161783,0.133559,0.04027,0.082855,0.240712,0.078928,0.519114,0.439142,0.132406,0.259598,0.77863,0.259516,0.333891,0.43099,0.124416,0.090035,0.577746,0.243856,0.320773,0.306762,0.088554,0.147207,0.49434,0.173567,0.405941,0.412216,0.118996,0.172708,0.639174,0.233233,0.157201,0.298448,0.089985,-0.019171,0.333572,0.176371,-0.27873,0.342223,0.103184,-0.480971,-0.076489,0.202241
|
| 12 |
+
n,Numerical,tvae,TVAE,19,0.212005,0.168125,0.039627,0.134335,0.289675,0.07767,0.564776,0.37595,0.088612,0.391096,0.738456,0.17368,0.392935,0.407696,0.093532,0.209613,0.576258,0.183322,0.376278,0.290178,0.066571,0.245798,0.506758,0.13048,0.463993,0.384302,0.088165,0.29119,0.636797,0.172803,0.150011,0.208465,0.049136,0.053706,0.246317,0.096306,-0.277766,0.331329,0.078095,-0.430832,-0.1247,0.153066
|
evaluation/query_family/conditional/final/v2/model_summary__v2.csv
ADDED
|
@@ -0,0 +1,12 @@
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
model_id,model_label,dataset_count,dataset_prefixes,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
|
| 2 |
+
arf,ARF,49,"c,m,n",0.398508,0.332853,0.048043,0.304343,0.492673,0.094165,0.692817,0.350455,0.052243,0.590422,0.795213,0.102396,0.562109,0.4034,0.060135,0.444244,0.679974,0.117865,0.534173,0.339849,0.04855,0.439016,0.629331,0.095158,0.62475,0.369373,0.054461,0.518007,0.731494,0.106744,0.111073,0.207201,0.031237,0.049849,0.172297,0.061224,-0.234692,0.26909,0.040114,-0.313315,-0.15607,0.078623
|
| 3 |
+
bayesnet,BayesNet,49,"c,m,n",0.411394,0.310257,0.044782,0.323622,0.499166,0.087772,0.707886,0.338535,0.050466,0.608973,0.806799,0.098913,0.578142,0.37205,0.055462,0.469436,0.686847,0.108706,0.551334,0.3158,0.045114,0.46291,0.639758,0.088424,0.639925,0.351448,0.051818,0.538361,0.741488,0.101564,0.110007,0.17614,0.026554,0.057961,0.162053,0.052046,-0.242221,0.277417,0.041355,-0.323277,-0.161166,0.081056
|
| 4 |
+
ctgan,CTGAN,49,"c,m,n",0.394348,0.299669,0.043254,0.309571,0.479125,0.084777,0.668259,0.339947,0.050676,0.568934,0.767585,0.099325,0.51335,0.370652,0.055254,0.405053,0.621647,0.108297,0.512856,0.313345,0.044764,0.425119,0.600593,0.087737,0.588831,0.352034,0.051905,0.487098,0.690563,0.101733,0.135702,0.170783,0.025747,0.085239,0.186166,0.050463,-0.206708,0.253883,0.037847,-0.280888,-0.132529,0.074179
|
| 5 |
+
forestdiffusion,ForestDiffusion,49,"c,m,n",0.319302,0.317331,0.045803,0.229528,0.409075,0.089773,0.629311,0.347645,0.051824,0.527736,0.730886,0.101575,0.44518,0.37854,0.056429,0.334578,0.555782,0.110602,0.450679,0.323973,0.046282,0.359966,0.541391,0.090712,0.536436,0.350758,0.051716,0.435072,0.6378,0.101364,0.165589,0.237441,0.035796,0.095429,0.235748,0.070159,-0.225226,0.250042,0.037274,-0.298283,-0.152169,0.073057
|
| 6 |
+
realtabformer,RealTabFormer,49,"c,m,n",0.550771,0.273348,0.039454,0.47344,0.628101,0.077331,0.798648,0.253801,0.037834,0.724492,0.872803,0.074155,0.707718,0.296696,0.044229,0.621029,0.794406,0.086688,0.671214,0.259223,0.037032,0.598631,0.743796,0.072582,0.747679,0.277446,0.040907,0.667501,0.827857,0.080178,0.070269,0.149803,0.022584,0.026005,0.114533,0.044264,-0.215083,0.216565,0.032284,-0.278359,-0.151807,0.063276
|
| 7 |
+
tabbyflow,TabbyFlow,46,"c,m,n",0.327734,0.311124,0.045873,0.237823,0.417644,0.089911,0.615482,0.344064,0.05187,0.513817,0.717146,0.101664,0.490401,0.364915,0.055649,0.381329,0.599473,0.109072,0.476465,0.316523,0.046669,0.384994,0.567936,0.091471,0.558732,0.346883,0.052295,0.456235,0.66123,0.102497,0.116138,0.166505,0.025392,0.06637,0.165906,0.049768,-0.233238,0.250883,0.037822,-0.307369,-0.159107,0.074131
|
| 8 |
+
tabddpm,TabDDPM,40,"c,m,n",0.34007,0.338409,0.054189,0.23386,0.44628,0.10621,0.608457,0.36727,0.060379,0.490115,0.7268,0.118342,0.492264,0.389115,0.06397,0.366882,0.617645,0.125381,0.464714,0.346971,0.054861,0.357187,0.572241,0.107527,0.549035,0.379966,0.061639,0.428223,0.669847,0.120812,0.091644,0.113779,0.018963,0.054476,0.128811,0.037168,-0.215913,0.258679,0.042527,-0.299265,-0.132561,0.083352
|
| 9 |
+
tabdiff,TabDiff,44,"c,m,n",0.341388,0.311937,0.04757,0.248151,0.434625,0.093237,0.659497,0.350439,0.054074,0.553512,0.765482,0.105985,0.50764,0.369702,0.057046,0.39583,0.619451,0.111811,0.491389,0.316217,0.047671,0.397953,0.584825,0.093436,0.582578,0.348241,0.053106,0.47849,0.686667,0.104088,0.133169,0.223359,0.034883,0.064799,0.20154,0.06837,-0.244982,0.272341,0.042023,-0.327347,-0.162616,0.082365
|
| 10 |
+
tabpfgen,TabPFGen,46,"c,m,n",0.384788,0.315033,0.046962,0.292742,0.476835,0.092046,0.675145,0.354664,0.054726,0.567883,0.782408,0.107263,0.554063,0.384504,0.05933,0.437776,0.670351,0.116287,0.519807,0.329124,0.048527,0.424695,0.61492,0.095112,0.611939,0.362648,0.055303,0.503545,0.720334,0.108395,0.099645,0.200208,0.031267,0.038361,0.160929,0.061284,-0.235559,0.272197,0.042001,-0.317881,-0.153237,0.082322
|
| 11 |
+
tabsyn,TabSyn,40,"c,m,n",0.37393,0.309929,0.049628,0.276658,0.471201,0.097272,0.671617,0.334439,0.05574,0.562367,0.780867,0.10925,0.534691,0.371208,0.061868,0.41343,0.655952,0.121261,0.508789,0.309924,0.049003,0.412743,0.604835,0.096046,0.600713,0.344419,0.056622,0.489733,0.711692,0.11098,0.112999,0.217089,0.036695,0.041077,0.184921,0.071922,-0.239277,0.279113,0.046519,-0.330454,-0.1481,0.091177
|
| 12 |
+
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/final/v2/must_do/conditional_dataset_model_heatmap_appendix__v2.tex
ADDED
|
@@ -0,0 +1,59 @@
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|
| 1 |
+
\documentclass{standalone}
|
| 2 |
+
\usepackage[table]{xcolor}
|
| 3 |
+
\usepackage{booktabs}
|
| 4 |
+
\begin{document}
|
| 5 |
+
\scriptsize
|
| 6 |
+
\setlength{\tabcolsep}{4pt}
|
| 7 |
+
\begin{tabular}{lccccccccccc}
|
| 8 |
+
\toprule
|
| 9 |
+
Dataset & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
|
| 10 |
+
\midrule
|
| 11 |
+
C2 & \cellcolor[HTML]{152772} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{2352A3} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{0C2060} \\
|
| 12 |
+
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} \\
|
| 13 |
+
C4 & \cellcolor[HTML]{11246B} & \cellcolor[HTML]{172976} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{12256D} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{1B2C80} \\
|
| 14 |
+
C5 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{1A2B7E} \\
|
| 15 |
+
C6 & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{2FA4C2} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{3EB3C4} & \cellcolor[HTML]{3DB2C4} \\
|
| 16 |
+
C7 & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{152772} \\
|
| 17 |
+
C8 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{253595} & \cellcolor[HTML]{1C2D81} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{1B2C80} & \cellcolor[HTML]{243F99} \\
|
| 18 |
+
C9 & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F1FABA} & \cellcolor[HTML]{F1FABB} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{1A2B7E} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F3FABF} & \cellcolor[HTML]{F1FABA} \\
|
| 19 |
+
C10 & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{0D2163} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{253795} & & \cellcolor[HTML]{24489D} \\
|
| 20 |
+
C11 & \cellcolor[HTML]{203089} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{243392} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{0E2265} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0D2161} \\
|
| 21 |
+
C14 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{B2E1B6} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{1E8BBD} \\
|
| 22 |
+
C15 & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{2075B3} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{34A9C3} & & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{1E86BB} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{87D0BA} \\
|
| 23 |
+
C16 & \cellcolor[HTML]{2260A9} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{259AC1} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{DDF2B2} & & \cellcolor[HTML]{6DC6BE} & & \cellcolor[HTML]{69C5BE} & \cellcolor[HTML]{B9E4B5} \\
|
| 24 |
+
C17 & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{76CABC} & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{D1EDB3} & & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{6BC6BE} & \cellcolor[HTML]{2260A9} \\
|
| 25 |
+
C18 & \cellcolor[HTML]{CDEBB4} & \cellcolor[HTML]{CFECB3} & \cellcolor[HTML]{BDE5B5} & \cellcolor[HTML]{C4E8B4} & \cellcolor[HTML]{1D90C0} & \cellcolor[HTML]{DFF2B2} & & & & & \cellcolor[HTML]{B4E2B6} \\
|
| 26 |
+
C19 & \cellcolor[HTML]{0C2060} & \cellcolor[HTML]{24419A} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{63C3BF} & & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{253B97} & \cellcolor[HTML]{2094C0} & \cellcolor[HTML]{2EA3C2} \\
|
| 27 |
+
M1 & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{23499E} & \cellcolor[HTML]{182A7A} & \cellcolor[HTML]{24459C} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{152772} & \cellcolor[HTML]{1D91C0} \\
|
| 28 |
+
M2 & \cellcolor[HTML]{67C4BE} & \cellcolor[HTML]{5DC0C0} & \cellcolor[HTML]{67C4BE} & \cellcolor[HTML]{6DC6BE} & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{71C8BD} & & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{69C5BE} \\
|
| 29 |
+
M4 & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{192B7C} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{1F7EB7} \\
|
| 30 |
+
M5 & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{CEECB3} & \cellcolor[HTML]{8ED3BA} & \cellcolor[HTML]{31A5C2} & \cellcolor[HTML]{6FC7BD} & \cellcolor[HTML]{B0E0B6} & \cellcolor[HTML]{A2DBB8} & \cellcolor[HTML]{65C3BF} & \cellcolor[HTML]{75C9BD} & \cellcolor[HTML]{D0EDB3} \\
|
| 31 |
+
M6 & \cellcolor[HTML]{0D2161} & \cellcolor[HTML]{0F2367} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{216BAE} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{243C98} & \cellcolor[HTML]{2166AC} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{24449C} & \cellcolor[HTML]{243D98} & \cellcolor[HTML]{89D1BA} \\
|
| 32 |
+
M7 & \cellcolor[HTML]{0A1E5C} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{142670} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{081D58} & \cellcolor[HTML]{102369} & \cellcolor[HTML]{24409A} & \cellcolor[HTML]{091E5A} & \cellcolor[HTML]{2260A9} \\
|
| 33 |
+
M8 & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5DC0C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{299DC1} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{59BFC0} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{75C9BD} \\
|
| 34 |
+
M9 & \cellcolor[HTML]{24439B} & \cellcolor[HTML]{233390} & \cellcolor[HTML]{253494} & \cellcolor[HTML]{1E83BA} & \cellcolor[HTML]{13266F} & \cellcolor[HTML]{53BDC1} & \cellcolor[HTML]{1F82B9} & \cellcolor[HTML]{1D8EBF} & \cellcolor[HTML]{225CA7} & \cellcolor[HTML]{1E8ABD} & \cellcolor[HTML]{33A7C2} \\
|
| 35 |
+
M10 & \cellcolor[HTML]{234DA0} & \cellcolor[HTML]{162874} & \cellcolor[HTML]{21308B} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{0B1F5E} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{289CC1} & \cellcolor[HTML]{234C9F} & \cellcolor[HTML]{24489D} & \cellcolor[HTML]{2351A2} & \cellcolor[HTML]{243392} \\
|
| 36 |
+
M11 & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{2FA4C2} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{87D0BA} & \cellcolor[HTML]{92D5B9} & \cellcolor[HTML]{8CD2BA} & \cellcolor[HTML]{6DC6BE} \\
|
| 37 |
+
M12 & \cellcolor[HTML]{69C5BE} & \cellcolor[HTML]{33A7C2} & \cellcolor[HTML]{50BBC2} & \cellcolor[HTML]{7ACBBC} & \cellcolor[HTML]{1D2E83} & \cellcolor[HTML]{35AAC3} & & \cellcolor[HTML]{3FB4C4} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{53BDC1} \\
|
| 38 |
+
N1 & \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} \\
|
| 39 |
+
N2 & \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} \\
|
| 40 |
+
N3 & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{DAF0B3} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{D1EDB3} & \cellcolor[HTML]{D7EFB3} & \cellcolor[HTML]{D1EDB3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{B4E2B6} & \cellcolor[HTML]{EDF8B1} \\
|
| 41 |
+
N4 & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{61C2BF} & \cellcolor[HTML]{D3EEB3} & \cellcolor[HTML]{65C3BF} & \cellcolor[HTML]{32A6C2} & \cellcolor[HTML]{5BC0C0} & \cellcolor[HTML]{B9E4B5} & \cellcolor[HTML]{5FC1C0} & \cellcolor[HTML]{5BC0C0} & & \cellcolor[HTML]{B9E4B5} \\
|
| 42 |
+
N5 & \cellcolor[HTML]{DCF1B2} & \cellcolor[HTML]{D4EEB3} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{EFF9B5} & \cellcolor[HTML]{73C8BD} & \cellcolor[HTML]{DFF2B2} & \cellcolor[HTML]{F9FDCB} & \cellcolor[HTML]{E1F3B2} & \cellcolor[HTML]{EFF9B6} & & \cellcolor[HTML]{DDF2B2} \\
|
| 43 |
+
N6 & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{C8E9B4} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{2076B3} & \cellcolor[HTML]{C8E9B4} \\
|
| 44 |
+
N7 & \cellcolor[HTML]{3DB2C4} & \cellcolor[HTML]{1F7AB5} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{36ABC3} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{1D8DBE} & \cellcolor[HTML]{3EB3C4} & \cellcolor[HTML]{3BB0C3} & \cellcolor[HTML]{1F7AB5} & & \cellcolor[HTML]{3AAEC3} \\
|
| 45 |
+
N8 & \cellcolor[HTML]{42B6C4} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{F2FABC} & \cellcolor[HTML]{CBEBB4} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{B2E1B6} & & \cellcolor[HTML]{D9F0B3} & & \cellcolor[HTML]{D9F0B3} & \cellcolor[HTML]{DAF0B3} \\
|
| 46 |
+
N9 & \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} \\
|
| 47 |
+
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} \\
|
| 48 |
+
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} \\
|
| 49 |
+
N12 & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{EDF8B1} & \cellcolor[HTML]{2354A3} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{22328F} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & \cellcolor[HTML]{F6FBC5} & & \cellcolor[HTML]{234C9F} \\
|
| 50 |
+
N14 & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{FFFFD9} \\
|
| 51 |
+
N15 & \cellcolor[HTML]{44B7C4} & \cellcolor[HTML]{216DAF} & \cellcolor[HTML]{F0F9B7} & \cellcolor[HTML]{48B9C3} & \cellcolor[HTML]{1F7DB6} & \cellcolor[HTML]{80CEBB} & \cellcolor[HTML]{E0F3B2} & \cellcolor[HTML]{40B5C4} & \cellcolor[HTML]{4AB9C3} & \cellcolor[HTML]{4CBAC2} & \cellcolor[HTML]{59BFC0} \\
|
| 52 |
+
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} \\
|
| 53 |
+
N17 & \cellcolor[HTML]{F7FCC6} & \cellcolor[HTML]{37ACC3} & \cellcolor[HTML]{46B8C3} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{2A9EC1} & & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{F7FCC6} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{4EBBC2} \\
|
| 54 |
+
N18 & \cellcolor[HTML]{EAF7B1} & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E7F6B1} & \cellcolor[HTML]{E8F6B1} & \cellcolor[HTML]{C6E9B4} & \cellcolor[HTML]{E1F3B2} & & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E9F7B1} & \cellcolor[HTML]{E6F5B2} & \cellcolor[HTML]{E7F6B1} \\
|
| 55 |
+
N19 & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F4FBC0} & \cellcolor[HTML]{7CCCBB} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{71C8BD} & \cellcolor[HTML]{FEFFD8} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{F8FCCA} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FCFED1} & \cellcolor[HTML]{73C8BD} \\
|
| 56 |
+
N20 & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{2165AB} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} & \cellcolor[HTML]{FFFFD9} \\
|
| 57 |
+
\bottomrule
|
| 58 |
+
\end{tabular}
|
| 59 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/must_do/conditional_family_subitem_bars_appendix__v2.tex
ADDED
|
@@ -0,0 +1,80 @@
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|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepackage{xcolor}
|
| 4 |
+
\pgfplotsset{compat=1.18}
|
| 5 |
+
|
| 6 |
+
\definecolor{barreal}{HTML}{000000}
|
| 7 |
+
\definecolor{bararf}{HTML}{777777}
|
| 8 |
+
\definecolor{barbayesnet}{HTML}{CCBB44}
|
| 9 |
+
\definecolor{barctgan}{HTML}{EE6677}
|
| 10 |
+
\definecolor{barforestdiffusion}{HTML}{228833}
|
| 11 |
+
\definecolor{barrealtabformer}{HTML}{332288}
|
| 12 |
+
\definecolor{bartabbyflow}{HTML}{882255}
|
| 13 |
+
\definecolor{bartabddpm}{HTML}{EE7733}
|
| 14 |
+
\definecolor{bartabdiff}{HTML}{AA3377}
|
| 15 |
+
\definecolor{bartabpfgen}{HTML}{009988}
|
| 16 |
+
\definecolor{bartabsyn}{HTML}{66CCEE}
|
| 17 |
+
\definecolor{bartvae}{HTML}{4477AA}
|
| 18 |
+
\begin{document}
|
| 19 |
+
\begin{tikzpicture}
|
| 20 |
+
\begin{axis}[
|
| 21 |
+
width=15.12cm,
|
| 22 |
+
height=8.8cm,
|
| 23 |
+
ymin=0.0, ymax=1.08,
|
| 24 |
+
ylabel={Score},
|
| 25 |
+
title={Conditional family and subitem bars},
|
| 26 |
+
ymajorgrids,
|
| 27 |
+
grid style={draw=gray!22},
|
| 28 |
+
major grid style={draw=gray!30},
|
| 29 |
+
axis line style={draw=black!70},
|
| 30 |
+
tick style={draw=black!70},
|
| 31 |
+
xtick={0.0000,1.1000,2.2000,3.3000,4.4000,5.5000,6.6000,7.7000,8.8000,9.9000,11.0000,12.1000,14.5500,15.6500,16.7500,17.8500,18.9500,20.0500,21.1500,22.2500,23.3500,24.4500,25.5500,26.6500,29.1000,30.2000,31.3000,32.4000,33.5000,34.6000,35.7000,36.8000,37.9000,39.0000,40.1000,41.2000},
|
| 32 |
+
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,REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE},
|
| 33 |
+
x tick label style={rotate=90, anchor=east, font=\scriptsize},
|
| 34 |
+
enlarge x limits=0.01,
|
| 35 |
+
clip=false,
|
| 36 |
+
]
|
| 37 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(0.0000,1.000000)};
|
| 38 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(1.1000,0.398508)};
|
| 39 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(2.2000,0.411394)};
|
| 40 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(3.3000,0.394348)};
|
| 41 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(4.4000,0.319302)};
|
| 42 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(5.5000,0.550771)};
|
| 43 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(6.6000,0.327734)};
|
| 44 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(7.7000,0.340070)};
|
| 45 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(8.8000,0.341388)};
|
| 46 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(9.9000,0.384788)};
|
| 47 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(11.0000,0.373930)};
|
| 48 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(12.1000,0.370008)};
|
| 49 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(14.5500,1.000000)};
|
| 50 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(15.6500,0.692817)};
|
| 51 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(16.7500,0.707886)};
|
| 52 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(17.8500,0.668259)};
|
| 53 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(18.9500,0.629311)};
|
| 54 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(20.0500,0.798648)};
|
| 55 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(21.1500,0.615482)};
|
| 56 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(22.2500,0.608457)};
|
| 57 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(23.3500,0.659497)};
|
| 58 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(24.4500,0.675145)};
|
| 59 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(25.5500,0.671617)};
|
| 60 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(26.6500,0.646445)};
|
| 61 |
+
\addplot+[ybar, bar width=5.8pt, draw=barreal, fill=barreal] coordinates {(29.1000,1.000000)};
|
| 62 |
+
\addplot+[ybar, bar width=5.8pt, draw=bararf, fill=bararf] coordinates {(30.2000,0.562109)};
|
| 63 |
+
\addplot+[ybar, bar width=5.8pt, draw=barbayesnet, fill=barbayesnet] coordinates {(31.3000,0.578142)};
|
| 64 |
+
\addplot+[ybar, bar width=5.8pt, draw=barctgan, fill=barctgan] coordinates {(32.4000,0.513350)};
|
| 65 |
+
\addplot+[ybar, bar width=5.8pt, draw=barforestdiffusion, fill=barforestdiffusion] coordinates {(33.5000,0.445180)};
|
| 66 |
+
\addplot+[ybar, bar width=5.8pt, draw=barrealtabformer, fill=barrealtabformer] coordinates {(34.6000,0.707718)};
|
| 67 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabbyflow, fill=bartabbyflow] coordinates {(35.7000,0.490401)};
|
| 68 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabddpm, fill=bartabddpm] coordinates {(36.8000,0.492264)};
|
| 69 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabdiff, fill=bartabdiff] coordinates {(37.9000,0.507640)};
|
| 70 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabpfgen, fill=bartabpfgen] coordinates {(39.0000,0.554063)};
|
| 71 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartabsyn, fill=bartabsyn] coordinates {(40.1000,0.534691)};
|
| 72 |
+
\addplot+[ybar, bar width=5.8pt, draw=bartvae, fill=bartvae] coordinates {(41.2000,0.461115)};
|
| 73 |
+
\draw[dashed, gray!70, line width=0.6pt] (axis cs:13.8250,0) -- (axis cs:13.8250,1.08);
|
| 74 |
+
\draw[dashed, gray!70, line width=0.6pt] (axis cs:28.3750,0) -- (axis cs:28.3750,1.08);
|
| 75 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:6.0500,1.035) {Dependency strength similarity};
|
| 76 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:20.6000,1.035) {Direction consistency};
|
| 77 |
+
\node[anchor=south, font=\bfseries\small] at (axis cs:35.1500,1.035) {Slice-level consistency};
|
| 78 |
+
\end{axis}
|
| 79 |
+
\end{tikzpicture}
|
| 80 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/must_do/conditional_model_subitem_heatmap_appendix__v2.tex
ADDED
|
@@ -0,0 +1,21 @@
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| 1 |
+
\documentclass{standalone}
|
| 2 |
+
\usepackage[table]{xcolor}
|
| 3 |
+
\usepackage{xcolor}
|
| 4 |
+
\usepackage{booktabs}
|
| 5 |
+
|
| 6 |
+
\begin{document}
|
| 7 |
+
\scriptsize
|
| 8 |
+
\textbf{Conditional model-subitem heatmap}\\[0.4em]
|
| 9 |
+
\emph{Mean score, 0--1; missing cells stay white.}\\[0.5em]
|
| 10 |
+
\setlength{\tabcolsep}{4pt}
|
| 11 |
+
\begin{tabular}{lccccccccccc}
|
| 12 |
+
\toprule
|
| 13 |
+
Subitem & ARF & BayesNet & CTGAN & ForestDiffusion & RealTabFormer & TabbyFlow & TabDDPM & TabDiff & TabPFGen & TabSyn & TVAE \\
|
| 14 |
+
\midrule
|
| 15 |
+
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} \\
|
| 16 |
+
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} \\
|
| 17 |
+
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} \\
|
| 18 |
+
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} \\
|
| 19 |
+
\bottomrule
|
| 20 |
+
\end{tabular}
|
| 21 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/must_do/conditional_prefix_bars_appendix__v2.tex
ADDED
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| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelreal}{HTML}{000000}
|
| 9 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 10 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 11 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 12 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 13 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 14 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 15 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 16 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 17 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 18 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 19 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 20 |
+
\begin{document}
|
| 21 |
+
\begin{tikzpicture}
|
| 22 |
+
\begin{groupplot}[
|
| 23 |
+
group style={group size=3 by 1, horizontal sep=1.1cm},
|
| 24 |
+
width=4.2cm,
|
| 25 |
+
height=7.0cm,
|
| 26 |
+
ybar,
|
| 27 |
+
bar width=7pt,
|
| 28 |
+
ymin=0, ymax=1.02,
|
| 29 |
+
xtick=data,
|
| 30 |
+
x tick label style={rotate=45, anchor=east, font=\tiny},
|
| 31 |
+
tick label style={font=\scriptsize},
|
| 32 |
+
label style={font=\scriptsize},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
]
|
| 36 |
+
\nextgroupplot[title={Categorical}, ylabel={Derived subgroup score}, xtick={1,2,3,4,5,6,7,8,9,10,11,12}, xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE}]
|
| 37 |
+
\addplot+[draw=modelreal, fill=modelreal] coordinates { (1,1.0000) };
|
| 38 |
+
\addplot+[draw=modelarf, fill=modelarf] coordinates { (2,0.7944) };
|
| 39 |
+
\addplot+[draw=modelbayesnet, fill=modelbayesnet] coordinates { (3,0.7579) };
|
| 40 |
+
\addplot+[draw=modelctgan, fill=modelctgan] coordinates { (4,0.7494) };
|
| 41 |
+
\addplot+[draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (5,0.6621) };
|
| 42 |
+
\addplot+[draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (6,0.8572) };
|
| 43 |
+
\addplot+[draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (7,0.6598) };
|
| 44 |
+
\addplot+[draw=modeltabddpm, fill=modeltabddpm] coordinates { (8,0.7717) };
|
| 45 |
+
\addplot+[draw=modeltabdiff, fill=modeltabdiff] coordinates { (9,0.7252) };
|
| 46 |
+
\addplot+[draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (10,0.7886) };
|
| 47 |
+
\addplot+[draw=modeltabsyn, fill=modeltabsyn] coordinates { (11,0.7185) };
|
| 48 |
+
\addplot+[draw=modeltvae, fill=modeltvae] coordinates { (12,0.6794) };
|
| 49 |
+
\nextgroupplot[title={Mixed}, ylabel={Derived subgroup score}, xtick={1,2,3,4,5,6,7,8,9,10,11,12}, xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE}]
|
| 50 |
+
\addplot+[draw=modelreal, fill=modelreal] coordinates { (1,1.0000) };
|
| 51 |
+
\addplot+[draw=modelarf, fill=modelarf] coordinates { (2,0.6940) };
|
| 52 |
+
\addplot+[draw=modelbayesnet, fill=modelbayesnet] coordinates { (3,0.7234) };
|
| 53 |
+
\addplot+[draw=modelctgan, fill=modelctgan] coordinates { (4,0.6184) };
|
| 54 |
+
\addplot+[draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (5,0.6293) };
|
| 55 |
+
\addplot+[draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (6,0.8011) };
|
| 56 |
+
\addplot+[draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (7,0.6557) };
|
| 57 |
+
\addplot+[draw=modeltabddpm, fill=modeltabddpm] coordinates { (8,0.6123) };
|
| 58 |
+
\addplot+[draw=modeltabdiff, fill=modeltabdiff] coordinates { (9,0.6799) };
|
| 59 |
+
\addplot+[draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (10,0.6755) };
|
| 60 |
+
\addplot+[draw=modeltabsyn, fill=modeltabsyn] coordinates { (11,0.6633) };
|
| 61 |
+
\addplot+[draw=modeltvae, fill=modeltvae] coordinates { (12,0.5212) };
|
| 62 |
+
\nextgroupplot[title={Numerical}, ylabel={Derived subgroup score}, xtick={1,2,3,4,5,6,7,8,9,10,11,12}, xticklabels={REAL,ARF,BayesNet,CTGAN,ForestDiffusion,RealTabFormer,TabbyFlow,TabDDPM,TabDiff,TabPFGen,TabSyn,TVAE}]
|
| 63 |
+
\addplot+[draw=modelreal, fill=modelreal] coordinates { (1,1.0000) };
|
| 64 |
+
\addplot+[draw=modelarf, fill=modelarf] coordinates { (2,0.4418) };
|
| 65 |
+
\addplot+[draw=modelbayesnet, fill=modelbayesnet] coordinates { (3,0.4923) };
|
| 66 |
+
\addplot+[draw=modelctgan, fill=modelctgan] coordinates { (4,0.4365) };
|
| 67 |
+
\addplot+[draw=modelforestdiffusion, fill=modelforestdiffusion] coordinates { (5,0.3769) };
|
| 68 |
+
\addplot+[draw=modelrealtabformer, fill=modelrealtabformer] coordinates { (6,0.6245) };
|
| 69 |
+
\addplot+[draw=modeltabbyflow, fill=modeltabbyflow] coordinates { (7,0.4008) };
|
| 70 |
+
\addplot+[draw=modeltabddpm, fill=modeltabddpm] coordinates { (8,0.3677) };
|
| 71 |
+
\addplot+[draw=modeltabdiff, fill=modeltabdiff] coordinates { (9,0.4097) };
|
| 72 |
+
\addplot+[draw=modeltabpfgen, fill=modeltabpfgen] coordinates { (10,0.4357) };
|
| 73 |
+
\addplot+[draw=modeltabsyn, fill=modeltabsyn] coordinates { (11,0.4059) };
|
| 74 |
+
\addplot+[draw=modeltvae, fill=modeltvae] coordinates { (12,0.4640) };
|
| 75 |
+
\end{groupplot}
|
| 76 |
+
\end{tikzpicture}
|
| 77 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/must_do/conditional_tradeoff_scatter_main__v2.tex
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usetikzlibrary{patterns}
|
| 5 |
+
\usepackage{xcolor}
|
| 6 |
+
\pgfplotsset{compat=1.18}
|
| 7 |
+
|
| 8 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 9 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 10 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 11 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 12 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 13 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 14 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 15 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 16 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 17 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 18 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{minipage}{13.2cm}
|
| 21 |
+
{\small Main paper-facing view.\par}
|
| 22 |
+
{\small Axes isolate the two subgroup-sensitive conditional branches; both directions include 95\% CI error bars.\par}
|
| 23 |
+
\vspace{0.4em}
|
| 24 |
+
\begin{tikzpicture}
|
| 25 |
+
\begin{axis}[
|
| 26 |
+
width=12.8cm,
|
| 27 |
+
height=9.4cm,
|
| 28 |
+
xmin=0.37, xmax=0.79,
|
| 29 |
+
ymin=0.53, ymax=0.88,
|
| 30 |
+
xlabel={Slice-level consistency},
|
| 31 |
+
ylabel={Direction consistency},
|
| 32 |
+
title={Conditional subgroup trade-off across canonical branches},
|
| 33 |
+
grid=both,
|
| 34 |
+
grid style={draw=gray!20},
|
| 35 |
+
major grid style={draw=gray!30},
|
| 36 |
+
axis line style={draw=black!70},
|
| 37 |
+
tick style={draw=black!70},
|
| 38 |
+
clip=false,
|
| 39 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.02,0.98)}, anchor=north west},
|
| 40 |
+
legend columns=2,
|
| 41 |
+
]
|
| 42 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelarf, fill=modelarf,
|
| 43 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 44 |
+
coordinates { (0.5621,0.6928) +- (0.1179,0.1024) };
|
| 45 |
+
\addlegendentry{ARF}
|
| 46 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelbayesnet, fill=modelbayesnet,
|
| 47 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 48 |
+
coordinates { (0.5781,0.7079) +- (0.1087,0.0989) };
|
| 49 |
+
\addlegendentry{BayesNet}
|
| 50 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelctgan, fill=modelctgan,
|
| 51 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 52 |
+
coordinates { (0.5133,0.6683) +- (0.1083,0.0993) };
|
| 53 |
+
\addlegendentry{CTGAN}
|
| 54 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelforestdiffusion, fill=modelforestdiffusion,
|
| 55 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 56 |
+
coordinates { (0.4452,0.6293) +- (0.1106,0.1016) };
|
| 57 |
+
\addlegendentry{ForestDiffusion}
|
| 58 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modelrealtabformer, fill=modelrealtabformer,
|
| 59 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 60 |
+
coordinates { (0.7077,0.7986) +- (0.0867,0.0742) };
|
| 61 |
+
\addlegendentry{RealTabFormer}
|
| 62 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabbyflow, fill=modeltabbyflow,
|
| 63 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 64 |
+
coordinates { (0.4904,0.6155) +- (0.1091,0.1017) };
|
| 65 |
+
\addlegendentry{TabbyFlow}
|
| 66 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabddpm, fill=modeltabddpm,
|
| 67 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 68 |
+
coordinates { (0.4923,0.6085) +- (0.1254,0.1183) };
|
| 69 |
+
\addlegendentry{TabDDPM}
|
| 70 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabdiff, fill=modeltabdiff,
|
| 71 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 72 |
+
coordinates { (0.5076,0.6595) +- (0.1118,0.1060) };
|
| 73 |
+
\addlegendentry{TabDiff}
|
| 74 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabpfgen, fill=modeltabpfgen,
|
| 75 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 76 |
+
coordinates { (0.5541,0.6751) +- (0.1163,0.1073) };
|
| 77 |
+
\addlegendentry{TabPFGen}
|
| 78 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltabsyn, fill=modeltabsyn,
|
| 79 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 80 |
+
coordinates { (0.5347,0.6716) +- (0.1213,0.1092) };
|
| 81 |
+
\addlegendentry{TabSyn}
|
| 82 |
+
\addplot+[only marks, mark=*, mark size=2.8pt, draw=modeltvae, fill=modeltvae,
|
| 83 |
+
error bars/.cd, x dir=both, x explicit, y dir=both, y explicit]
|
| 84 |
+
coordinates { (0.4611,0.6464) +- (0.1015,0.0913) };
|
| 85 |
+
\addlegendentry{TVAE}
|
| 86 |
+
\end{axis}
|
| 87 |
+
\end{tikzpicture}
|
| 88 |
+
\end{minipage}
|
| 89 |
+
\end{document}
|
evaluation/query_family/conditional/final/v2/prefix_summary__v2.csv
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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
|
| 2 |
+
arf,ARF,c,Categorical,19,0.647241,0.821978,0.751189,0.69526,0.794359,0.058921,-0.085533
|
| 3 |
+
arf,ARF,m,Mixed,11,0.373675,0.754495,0.633554,0.587241,0.694024,0.120942,-0.320349
|
| 4 |
+
arf,ARF,n,Numerical,19,0.151132,0.540316,0.371473,0.342364,0.441816,0.148502,-0.314933
|
| 5 |
+
bayesnet,BayesNet,c,Categorical,19,0.606439,0.801163,0.695539,0.670146,0.757866,0.092368,-0.113477
|
| 6 |
+
bayesnet,BayesNet,m,Mixed,11,0.387586,0.778261,0.668552,0.611466,0.723406,0.109708,-0.335821
|
| 7 |
+
bayesnet,BayesNet,n,Numerical,19,0.220062,0.581967,0.433117,0.397708,0.492275,0.124889,-0.299461
|
| 8 |
+
ctgan,CTGAN,c,Categorical,19,0.604934,0.842486,0.633412,0.662516,0.749405,0.198573,-0.102569
|
| 9 |
+
ctgan,CTGAN,m,Mixed,11,0.361071,0.666412,0.57037,0.532618,0.618391,0.096042,-0.25732
|
| 10 |
+
ctgan,CTGAN,n,Numerical,19,0.192399,0.51452,0.385552,0.351755,0.436496,0.107548,-0.268347
|
| 11 |
+
forestdiffusion,ForestDiffusion,c,Categorical,19,0.508904,0.765116,0.529722,0.568914,0.662115,0.219735,-0.106891
|
| 12 |
+
forestdiffusion,ForestDiffusion,m,Mixed,11,0.286038,0.686067,0.57248,0.514861,0.629273,0.113587,-0.343235
|
| 13 |
+
forestdiffusion,ForestDiffusion,n,Numerical,19,0.139493,0.473912,0.304737,0.295286,0.376853,0.152246,-0.258297
|
| 14 |
+
realtabformer,RealTabFormer,c,Categorical,19,0.730352,0.871831,0.832029,0.785113,0.857179,0.031257,-0.097542
|
| 15 |
+
realtabformer,RealTabFormer,m,Mixed,11,0.553665,0.831844,0.770414,0.718641,0.801129,0.061431,-0.247464
|
| 16 |
+
realtabformer,RealTabFormer,n,Numerical,19,0.359443,0.713309,0.573279,0.529857,0.624523,0.108181,-0.299775
|
| 17 |
+
tabbyflow,TabbyFlow,c,Categorical,18,0.50485,0.720377,0.572531,0.587209,0.659813,0.129205,-0.138981
|
| 18 |
+
tabbyflow,TabbyFlow,m,Mixed,11,0.316649,0.705259,0.606218,0.542709,0.655739,0.099041,-0.33909
|
| 19 |
+
tabbyflow,TabbyFlow,n,Numerical,17,0.147371,0.458665,0.342994,0.316343,0.40083,0.115671,-0.253459
|
| 20 |
+
tabddpm,TabDDPM,c,Categorical,13,0.642624,0.81479,0.701572,0.669457,0.771746,0.094697,-0.047568
|
| 21 |
+
tabddpm,TabDDPM,m,Mixed,10,0.283257,0.65593,0.568672,0.50262,0.612301,0.087258,-0.329044
|
| 22 |
+
tabddpm,TabDDPM,n,Numerical,17,0.129752,0.436933,0.324195,0.285848,0.367713,0.092477,-0.260943
|
| 23 |
+
tabdiff,TabDiff,c,Categorical,16,0.542476,0.792407,0.633621,0.634092,0.725226,0.143958,-0.146585
|
| 24 |
+
tabdiff,TabDiff,m,Mixed,10,0.330346,0.727097,0.632618,0.563354,0.679858,0.094478,-0.349512
|
| 25 |
+
tabdiff,TabDiff,n,Numerical,18,0.158624,0.502459,0.340223,0.324562,0.409661,0.147044,-0.270313
|
| 26 |
+
tabpfgen,TabPFGen,c,Categorical,17,0.642363,0.815337,0.743564,0.682203,0.788609,0.057568,-0.072567
|
| 27 |
+
tabpfgen,TabPFGen,m,Mixed,11,0.338356,0.724238,0.626699,0.563097,0.675468,0.097539,-0.337113
|
| 28 |
+
tabpfgen,TabPFGen,n,Numerical,18,0.157259,0.527928,0.372813,0.339978,0.435706,0.133184,-0.304077
|
| 29 |
+
tabsyn,TabSyn,c,Categorical,17,0.536195,0.759827,0.652274,0.612264,0.718469,0.089078,-0.138556
|
| 30 |
+
tabsyn,TabSyn,m,Mixed,11,0.335304,0.711853,0.614785,0.55398,0.663319,0.097068,-0.328015
|
| 31 |
+
tabsyn,TabSyn,n,Numerical,12,0.161783,0.519114,0.333891,0.320773,0.405941,0.157201,-0.27873
|
| 32 |
+
tvae,TVAE,c,Categorical,19,0.548648,0.777613,0.553352,0.606235,0.67944,0.209435,-0.102576
|
| 33 |
+
tvae,TVAE,m,Mixed,11,0.319999,0.589296,0.453103,0.454133,0.5212,0.136193,-0.201201
|
| 34 |
+
tvae,TVAE,n,Numerical,19,0.212005,0.564776,0.392935,0.376278,0.463993,0.150011,-0.277766
|
evaluation/query_family/conditional/locality_support_diagnostics/final/README.md
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Conditional Locality/Support Diagnostics
|
| 2 |
+
|
| 3 |
+
Paper-facing assets mirrored from the latest standalone conditional locality/support diagnostic run.
|
| 4 |
+
|
| 5 |
+
Primary paper-facing files:
|
| 6 |
+
|
| 7 |
+
- `fig_conditional_locality_main.pdf`
|
| 8 |
+
- `fig_conditional_support_main.pdf`
|
| 9 |
+
- `fig_conditional_locality_support_combined.pdf`
|
| 10 |
+
- `paper_caption.txt`
|
| 11 |
+
- `paper_paragraphs.md`
|
| 12 |
+
- `conditional_locality_support_report.md`
|
| 13 |
+
|
| 14 |
+
Must-do bundle (`must_do/`):
|
| 15 |
+
|
| 16 |
+
- `must_do/fig_conditional_locality_main.pdf`
|
| 17 |
+
- `must_do/fig_conditional_support_main.pdf`
|
| 18 |
+
- `must_do/fig_conditional_locality_support_combined.pdf`
|
| 19 |
+
- `must_do/fig_conditional_locality_main.png`
|
| 20 |
+
- `must_do/fig_conditional_support_main.png`
|
| 21 |
+
- `must_do/fig_conditional_locality_support_combined.png`
|
| 22 |
+
|
| 23 |
+
Support files:
|
| 24 |
+
|
| 25 |
+
- `conditional_template_mapping.csv`
|
| 26 |
+
- `conditional_locality_summary.csv`
|
| 27 |
+
- `conditional_support_bucket_summary.csv`
|
| 28 |
+
- `conditional_support_method_audit.csv`
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
Latest run: `20260524_090854_conditional_locality_support`
|
| 32 |
+
Primary support variant: `all_filtered_local`
|
evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_locality_diagnostic.md
ADDED
|
@@ -0,0 +1,30 @@
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Conditional locality diagnostic
|
| 2 |
+
|
| 3 |
+
## Classification audit
|
| 4 |
+
|
| 5 |
+
Template-level semantics, not raw SQL column counts, define the primary locality buckets. The explicit mapping below keeps the two-axis filtered template in `filtered_local` while preserving `axis_arity = 2D` as a secondary annotation.
|
| 6 |
+
|
| 7 |
+
| template_id | template_name | structure_type | axis_arity | n_query_rows | n_datasets | n_models |
|
| 8 |
+
|:----------------------------------|:-------------------------------------|:-----------------|:-------------|---------------:|-------------:|-----------:|
|
| 9 |
+
| tpl_m4_group_condition_rate | Grouped Condition Rate | grouped_global | 1D | 3777 | 32 | 11 |
|
| 10 |
+
| tpl_m4_group_ratio_two_conditions | Grouped Ratio of Two Conditions | grouped_global | 1D | 2745 | 35 | 11 |
|
| 11 |
+
| tpl_m4_window_partition_avg | Window Partition Average | grouped_global | 1D | 1808 | 21 | 11 |
|
| 12 |
+
| tpl_tpcds_within_group_share | Within-Group Share of Total | grouped_global | 1D | 6343 | 33 | 11 |
|
| 13 |
+
| tpl_c2_two_dim_target_rate | Two-Axis Target Rate Surface | surface_2d | 2D | 616 | 3 | 11 |
|
| 14 |
+
| tpl_c2_filtered_group_count_2d | Filtered Two-Dimensional Group Count | filtered_local | 2D | 2317 | 27 | 11 |
|
| 15 |
+
|
| 16 |
+
## Coverage and scores
|
| 17 |
+
|
| 18 |
+
| structure_type | bucket_label | query_row_count | dataset_count | model_count | panel_count | template_count | mean_score | ci95_radius | coverage_note |
|
| 19 |
+
|:-----------------|:-----------------|------------------:|----------------:|--------------:|--------------:|-----------------:|-------------:|--------------:|:-------------------------------------|
|
| 20 |
+
| grouped_global | Grouped / Global | 14673 | 39 | 11 | 404 | 4 | 0.49691 | 0.032741 | adequate |
|
| 21 |
+
| surface_2d | 2D Surface | 616 | 3 | 11 | 33 | 1 | 0.948784 | 0.013789 | low_dataset_coverage,single_template |
|
| 22 |
+
| filtered_local | Filtered / Local | 2317 | 27 | 11 | 280 | 1 | 0.524149 | 0.045843 | single_template |
|
| 23 |
+
|
| 24 |
+
## Diagnostic takeaways
|
| 25 |
+
|
| 26 |
+
- Panel means decline from `0.497` for grouped/global queries to `0.949` for 2D surfaces and `0.524` for filtered/local slices.
|
| 27 |
+
- The steepest grouped/global to filtered/local decline appears for `TVAE`: `0.486` to `0.405`.
|
| 28 |
+
- `surface_2d` still rests on one template family, so the locality trend should be treated as structured diagnostic evidence rather than a universal law over all possible 2D conditional tasks.
|
| 29 |
+
- The current conditional row export carries heuristic subitem labels. This locality decomposition therefore anchors on template semantics and panel-level aggregation instead of over-interpreting any single heuristic subitem tag.
|
| 30 |
+
|
evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_locality_summary.csv
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
structure_type,bucket_label,panel_count,dataset_count,model_count,template_count,query_row_count,prefix_coverage,prefix_count,mean_score,std_score,se_score,ci95_low,ci95_high,ci95_radius,coverage_note
|
| 2 |
+
grouped_global,Grouped / Global,404,39,11,4,14673,"c,m,n",3,0.49691,0.335757,0.016705,0.46417,0.529651,0.032741,adequate
|
| 3 |
+
surface_2d,2D Surface,33,3,11,1,616,c,1,0.948784,0.040414,0.007035,0.934994,0.962573,0.013789,"low_dataset_coverage,single_template"
|
| 4 |
+
filtered_local,Filtered / Local,280,27,11,1,2317,"c,m,n",3,0.524149,0.39138,0.023389,0.478305,0.569992,0.045843,single_template
|
evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_locality_support_report.md
ADDED
|
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Conditional locality and support report
|
| 2 |
+
|
| 3 |
+
## Scope
|
| 4 |
+
|
| 5 |
+
- Source conditional breakdown: `/data/jialinzhang/TabQueryBench/code_snapshot/Evaluation/query_fivepart_breakdown/conditional_breakdown`
|
| 6 |
+
- Source analysis run: `20260524_encodingrepair_v2_analysis_merged49`
|
| 7 |
+
- Primary support variant: `all_filtered_local` (`primary_scalar_variant_missing`)
|
| 8 |
+
- Stable aggregation is panel-first throughout: query rows -> dataset-model-bucket panels -> model/global summaries.
|
| 9 |
+
- This diagnostic does not rerun the benchmark and does not overwrite upstream conditional outputs.
|
| 10 |
+
|
| 11 |
+
## Main supported findings
|
| 12 |
+
|
| 13 |
+
- 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).
|
| 14 |
+
- The strongest grouped/global to filtered/local drop appears for TVAE, falling from 0.486 to 0.405.
|
| 15 |
+
- 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.
|
| 16 |
+
- 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.
|
| 17 |
+
|
| 18 |
+
## Locality diagnostic
|
| 19 |
+
|
| 20 |
+
# Conditional locality diagnostic
|
| 21 |
+
|
| 22 |
+
## Classification audit
|
| 23 |
+
|
| 24 |
+
Template-level semantics, not raw SQL column counts, define the primary locality buckets. The explicit mapping below keeps the two-axis filtered template in `filtered_local` while preserving `axis_arity = 2D` as a secondary annotation.
|
| 25 |
+
|
| 26 |
+
| template_id | template_name | structure_type | axis_arity | n_query_rows | n_datasets | n_models |
|
| 27 |
+
|:----------------------------------|:-------------------------------------|:-----------------|:-------------|---------------:|-------------:|-----------:|
|
| 28 |
+
| tpl_m4_group_condition_rate | Grouped Condition Rate | grouped_global | 1D | 3777 | 32 | 11 |
|
| 29 |
+
| tpl_m4_group_ratio_two_conditions | Grouped Ratio of Two Conditions | grouped_global | 1D | 2745 | 35 | 11 |
|
| 30 |
+
| tpl_m4_window_partition_avg | Window Partition Average | grouped_global | 1D | 1808 | 21 | 11 |
|
| 31 |
+
| tpl_tpcds_within_group_share | Within-Group Share of Total | grouped_global | 1D | 6343 | 33 | 11 |
|
| 32 |
+
| tpl_c2_two_dim_target_rate | Two-Axis Target Rate Surface | surface_2d | 2D | 616 | 3 | 11 |
|
| 33 |
+
| tpl_c2_filtered_group_count_2d | Filtered Two-Dimensional Group Count | filtered_local | 2D | 2317 | 27 | 11 |
|
| 34 |
+
|
| 35 |
+
## Coverage and scores
|
| 36 |
+
|
| 37 |
+
| structure_type | bucket_label | query_row_count | dataset_count | model_count | panel_count | template_count | mean_score | ci95_radius | coverage_note |
|
| 38 |
+
|:-----------------|:-----------------|------------------:|----------------:|--------------:|--------------:|-----------------:|-------------:|--------------:|:-------------------------------------|
|
| 39 |
+
| grouped_global | Grouped / Global | 14673 | 39 | 11 | 404 | 4 | 0.49691 | 0.032741 | adequate |
|
| 40 |
+
| surface_2d | 2D Surface | 616 | 3 | 11 | 33 | 1 | 0.948784 | 0.013789 | low_dataset_coverage,single_template |
|
| 41 |
+
| filtered_local | Filtered / Local | 2317 | 27 | 11 | 280 | 1 | 0.524149 | 0.045843 | single_template |
|
| 42 |
+
|
| 43 |
+
## Diagnostic takeaways
|
| 44 |
+
|
| 45 |
+
- Panel means decline from `0.497` for grouped/global queries to `0.949` for 2D surfaces and `0.524` for filtered/local slices.
|
| 46 |
+
- The steepest grouped/global to filtered/local decline appears for `TVAE`: `0.486` to `0.405`.
|
| 47 |
+
- `surface_2d` still rests on one template family, so the locality trend should be treated as structured diagnostic evidence rather than a universal law over all possible 2D conditional tasks.
|
| 48 |
+
- The current conditional row export carries heuristic subitem labels. This locality decomposition therefore anchors on template semantics and panel-level aggregation instead of over-interpreting any single heuristic subitem tag.
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
## Support diagnostic
|
| 52 |
+
|
| 53 |
+
# Conditional support diagnostic
|
| 54 |
+
|
| 55 |
+
## Feasibility and recovery modes
|
| 56 |
+
|
| 57 |
+
- Source SQL artifact coverage found: `196` recovered cases; missing: `27`.
|
| 58 |
+
- Support recovery modes on unique filtered-local cases: `{"exact": 187, "unavailable": 36}`.
|
| 59 |
+
- Primary dense/medium/sparse variant: `all_filtered_local` (`primary_scalar_variant_missing`).
|
| 60 |
+
- Exact vs proxy row-level coverage in the audit export: exact=`1939`, derived_exact=`0`, proxy=`0`, unavailable=`378`.
|
| 61 |
+
|
| 62 |
+
## Coverage and scores
|
| 63 |
+
|
| 64 |
+
| support_bucket | bucket_label | query_row_count | dataset_count | model_count | panel_count | template_count | mean_score | ci95_radius | coverage_note |
|
| 65 |
+
|:-----------------|:---------------|------------------:|----------------:|--------------:|--------------:|-----------------:|-------------:|--------------:|:----------------|
|
| 66 |
+
| dense | Dense | 630 | 21 | 11 | 216 | 1 | 0.590639 | 0.053714 | single_template |
|
| 67 |
+
| medium | Medium | 582 | 21 | 11 | 216 | 1 | 0.547348 | 0.055578 | single_template |
|
| 68 |
+
| sparse | Sparse | 639 | 21 | 11 | 216 | 1 | 0.483777 | 0.053077 | single_template |
|
| 69 |
+
|
| 70 |
+
## Diagnostic takeaways
|
| 71 |
+
|
| 72 |
+
- The global panel mean declines from `0.591` on dense filtered-local slices to `0.484` on sparse slices.
|
| 73 |
+
- Model behavior is mixed: `11` models have positive dense-minus-sparse gaps, `0` show the reverse, and `0` are flat. The largest positive gap appears for `TVAE` at `0.194`.
|
| 74 |
+
- In the broader `all_filtered_local` sensitivity view (`21` datasets), dense=`0.591` and sparse=`0.484`; the sparse-support penalty is clearer once the filtered 2D local template is included.
|
| 75 |
+
- The primary support analysis intentionally keeps only scalar filtered-local templates in the main dense/medium/sparse comparison so that the support unit remains the count of real rows satisfying the local predicate.
|
| 76 |
+
- Exact per-cell support is still recovered and audited for the filtered 2D group-count template, but that template is left as a sensitivity-only support basis because its natural support statistic is a cell-count distribution rather than a scalar slice size.
|
| 77 |
+
- On this main scalar subset, sparse support does not by itself explain the filtered-local weakness. Any support-mediated interpretation should therefore be limited to model-specific behavior or to the broader sensitivity analysis, not promoted as a universal driver.
|
| 78 |
+
- Any unsupported or unavailable support cases remain explicit in the audit CSV and are not silently folded into the main claim.
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
## Caveats
|
| 82 |
+
|
| 83 |
+
- `surface_2d` is still represented by one template family, so the locality trend should be described as a template-grounded diagnostic pattern rather than a universal statement about dimensionality alone.
|
| 84 |
+
- The support main figure intentionally excludes the filtered 2D count template from the primary dense/medium/sparse claim because its most faithful support signal is a distribution of cell counts, not a single filtered-row count.
|
| 85 |
+
- Existing heuristic subitem labels in the conditional row export do not perfectly align with template-level semantics, so this diagnostic relies on template semantics for bucket assignment and uses query-score panel means as the primary outcome.
|
| 86 |
+
|
evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_support_bucket_diagnostic.md
ADDED
|
@@ -0,0 +1,27 @@
|
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|
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|
|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Conditional support diagnostic
|
| 2 |
+
|
| 3 |
+
## Feasibility and recovery modes
|
| 4 |
+
|
| 5 |
+
- Source SQL artifact coverage found: `196` recovered cases; missing: `27`.
|
| 6 |
+
- Support recovery modes on unique filtered-local cases: `{"exact": 187, "unavailable": 36}`.
|
| 7 |
+
- Primary dense/medium/sparse variant: `all_filtered_local` (`primary_scalar_variant_missing`).
|
| 8 |
+
- Exact vs proxy row-level coverage in the audit export: exact=`1939`, derived_exact=`0`, proxy=`0`, unavailable=`378`.
|
| 9 |
+
|
| 10 |
+
## Coverage and scores
|
| 11 |
+
|
| 12 |
+
| support_bucket | bucket_label | query_row_count | dataset_count | model_count | panel_count | template_count | mean_score | ci95_radius | coverage_note |
|
| 13 |
+
|:-----------------|:---------------|------------------:|----------------:|--------------:|--------------:|-----------------:|-------------:|--------------:|:----------------|
|
| 14 |
+
| dense | Dense | 630 | 21 | 11 | 216 | 1 | 0.590639 | 0.053714 | single_template |
|
| 15 |
+
| medium | Medium | 582 | 21 | 11 | 216 | 1 | 0.547348 | 0.055578 | single_template |
|
| 16 |
+
| sparse | Sparse | 639 | 21 | 11 | 216 | 1 | 0.483777 | 0.053077 | single_template |
|
| 17 |
+
|
| 18 |
+
## Diagnostic takeaways
|
| 19 |
+
|
| 20 |
+
- The global panel mean declines from `0.591` on dense filtered-local slices to `0.484` on sparse slices.
|
| 21 |
+
- Model behavior is mixed: `11` models have positive dense-minus-sparse gaps, `0` show the reverse, and `0` are flat. The largest positive gap appears for `TVAE` at `0.194`.
|
| 22 |
+
- In the broader `all_filtered_local` sensitivity view (`21` datasets), dense=`0.591` and sparse=`0.484`; the sparse-support penalty is clearer once the filtered 2D local template is included.
|
| 23 |
+
- The primary support analysis intentionally keeps only scalar filtered-local templates in the main dense/medium/sparse comparison so that the support unit remains the count of real rows satisfying the local predicate.
|
| 24 |
+
- Exact per-cell support is still recovered and audited for the filtered 2D group-count template, but that template is left as a sensitivity-only support basis because its natural support statistic is a cell-count distribution rather than a scalar slice size.
|
| 25 |
+
- On this main scalar subset, sparse support does not by itself explain the filtered-local weakness. Any support-mediated interpretation should therefore be limited to model-specific behavior or to the broader sensitivity analysis, not promoted as a universal driver.
|
| 26 |
+
- Any unsupported or unavailable support cases remain explicit in the audit CSV and are not silently folded into the main claim.
|
| 27 |
+
|
evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_support_bucket_summary.csv
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
support_bucket,analysis_variant,bucket_label,panel_count,dataset_count,model_count,template_count,query_row_count,prefix_coverage,prefix_count,mean_score,std_score,se_score,ci95_low,ci95_high,ci95_radius,coverage_note
|
| 2 |
+
dense,all_filtered_local,Dense,216,21,11,1,630,"c,m,n",3,0.590639,0.402774,0.027405,0.536925,0.644354,0.053714,single_template
|
| 3 |
+
medium,all_filtered_local,Medium,216,21,11,1,582,"c,m,n",3,0.547348,0.416752,0.028356,0.49177,0.602927,0.055578,single_template
|
| 4 |
+
sparse,all_filtered_local,Sparse,216,21,11,1,639,"c,m,n",3,0.483777,0.397991,0.02708,0.4307,0.536853,0.053077,single_template
|
evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_support_method_audit.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
evaluation/query_family/conditional/locality_support_diagnostics/final/conditional_template_mapping.csv
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
template_id,template_name,structure_type,axis_arity,classification_rationale,n_query_rows,n_datasets,n_models,n_panels,dataset_prefixes,observed_subitems,contract_supported_subitems,contract_allowed_roles,support_bucket_basis,support_main_eligible,support_basis_note
|
| 2 |
+
tpl_m4_group_condition_rate,Grouped Condition Rate,grouped_global,1D,One grouped axis with no local filter; the query compares a global condition rate across groups rather than drilling into a filtered slice.,3777,32,11,334,"c,m,n","dependency_strength_similarity,direction_consistency","dependency_strength_similarity,direction_consistency","within_group_proportion,focused_target_view",not_applicable,False,Not part of the filtered-local support diagnostic.
|
| 3 |
+
tpl_m4_group_ratio_two_conditions,Grouped Ratio of Two Conditions,grouped_global,1D,"One grouped axis with a contrastive ratio view, but still a global grouped summary rather than a local filtered slice.",2745,35,11,365,"c,m,n",direction_consistency,direction_consistency,contrastive_conditional_view,not_applicable,False,Not part of the filtered-local support diagnostic.
|
| 4 |
+
tpl_m4_window_partition_avg,Window Partition Average,grouped_global,1D,Window partitions still summarize one grouping axis at the full-dataset level; they do not define a narrow filtered slice.,1808,21,11,216,"c,m,n","direction_consistency,slice_level_consistency","slice_level_consistency,direction_consistency","filtered_stable_view,ranked_signal_view",not_applicable,False,Not part of the filtered-local support diagnostic.
|
| 5 |
+
tpl_tpcds_within_group_share,Within-Group Share of Total,grouped_global,1D,"The item-level shares are nested inside a grouped global summary, not exposed as a two-axis interaction surface.",6343,33,11,339,"c,m,n",dependency_strength_similarity,dependency_strength_similarity,"within_group_proportion,focused_target_view",not_applicable,False,Not part of the filtered-local support diagnostic.
|
| 6 |
+
tpl_c2_two_dim_target_rate,Two-Axis Target Rate Surface,surface_2d,2D,This template explicitly constructs a two-axis interaction surface over two grouping fields without a local filter.,616,3,11,33,c,"dependency_strength_similarity,direction_consistency","dependency_strength_similarity,direction_consistency","within_group_proportion,ranked_signal_view",not_applicable,False,Not part of the filtered-local support diagnostic.
|
| 7 |
+
tpl_c2_filtered_group_count_2d,Filtered Two-Dimensional Group Count,filtered_local,2D,"Even though the output is two-dimensional, the defining semantics are local because the surface exists only inside a predicate-defined slice.",2317,27,11,280,"c,m,n",slice_level_consistency,slice_level_consistency,count_distribution,median_cell_row_count,False,"Exact per-cell counts are available, but the primary support analysis keeps scalar filtered-slice support units comparable and therefore excludes this template from the main dense/medium/sparse claim."
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_by_model.svg
ADDED
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_by_model.tex
ADDED
|
@@ -0,0 +1,65 @@
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|
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|
|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usepackage{xcolor}
|
| 5 |
+
\pgfplotsset{compat=1.18}
|
| 6 |
+
|
| 7 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 8 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 9 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 10 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 11 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 12 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 13 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 14 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 15 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 16 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 17 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 18 |
+
\definecolor{summaryblack}{HTML}{000000}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{tikzpicture}
|
| 21 |
+
\begin{axis}[
|
| 22 |
+
width=13.8cm,
|
| 23 |
+
height=8.4cm,
|
| 24 |
+
ymin=0.0, ymax=1.0,
|
| 25 |
+
title={Conditional locality decomposition by model},
|
| 26 |
+
ylabel={Conditional fidelity score},
|
| 27 |
+
xtick={1,2,3},
|
| 28 |
+
xticklabels={Grouped / Global,2D Surface,Filtered / Local},
|
| 29 |
+
ymajorgrids,
|
| 30 |
+
grid style={draw=gray!20},
|
| 31 |
+
major grid style={draw=gray!28},
|
| 32 |
+
axis line style={draw=black!70},
|
| 33 |
+
tick style={draw=black!70},
|
| 34 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
|
| 35 |
+
]
|
| 36 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelarf, fill=modelarf, opacity=0.82] coordinates {(1,0.514410) (2,0.943241) (3,0.578316)};
|
| 37 |
+
\addlegendentry{ARF}
|
| 38 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelbayesnet, fill=modelbayesnet, opacity=0.82] coordinates {(1,0.528563) (2,0.943418) (3,0.590767)};
|
| 39 |
+
\addlegendentry{BayesNet}
|
| 40 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelctgan, fill=modelctgan, opacity=0.82] coordinates {(1,0.518313) (2,0.938868) (3,0.502965)};
|
| 41 |
+
\addlegendentry{CTGAN}
|
| 42 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelforestdiffusion, fill=modelforestdiffusion, opacity=0.82] coordinates {(1,0.428868) (2,0.928066) (3,0.405873)};
|
| 43 |
+
\addlegendentry{ForestDiffusion}
|
| 44 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelrealtabformer, fill=modelrealtabformer, opacity=0.82] coordinates {(1,0.642171) (2,0.991771) (3,0.725290)};
|
| 45 |
+
\addlegendentry{RealTabFormer}
|
| 46 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabbyflow, fill=modeltabbyflow, opacity=0.82] coordinates {(1,0.443399) (2,0.938558) (3,0.479184)};
|
| 47 |
+
\addlegendentry{TabbyFlow}
|
| 48 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabddpm, fill=modeltabddpm, opacity=0.82] coordinates {(1,0.435330) (2,0.960794) (3,0.480608)};
|
| 49 |
+
\addlegendentry{TabDDPM}
|
| 50 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabdiff, fill=modeltabdiff, opacity=0.82] coordinates {(1,0.467464) (2,0.966405) (3,0.490968)};
|
| 51 |
+
\addlegendentry{TabDiff}
|
| 52 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabpfgen, fill=modeltabpfgen, opacity=0.82] coordinates {(1,0.500275) (2,0.920881) (3,0.553496)};
|
| 53 |
+
\addlegendentry{TabPFGen}
|
| 54 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabsyn, fill=modeltabsyn, opacity=0.82] coordinates {(1,0.478248) (2,0.946274) (3,0.546588)};
|
| 55 |
+
\addlegendentry{TabSyn}
|
| 56 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltvae, fill=modeltvae, opacity=0.82] coordinates {(1,0.486116) (2,0.958343) (3,0.404814)};
|
| 57 |
+
\addlegendentry{TVAE}
|
| 58 |
+
\addplot+[mark=*, mark size=2.6pt, line width=1.8pt, draw=summaryblack, fill=summaryblack] coordinates {(1,0.496910) (2,0.948784) (3,0.524149)};
|
| 59 |
+
\addlegendentry{Panel mean}
|
| 60 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (1,0.496910) +- (0,0.032741) };
|
| 61 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (2,0.948784) +- (0,0.013789) };
|
| 62 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (3,0.524149) +- (0,0.045843) };
|
| 63 |
+
\end{axis}
|
| 64 |
+
\end{tikzpicture}
|
| 65 |
+
\end{document}
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_main.svg
ADDED
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_main.tex
ADDED
|
@@ -0,0 +1,53 @@
|
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|
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|
|
|
|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usepackage{xcolor}
|
| 5 |
+
\pgfplotsset{compat=1.18}
|
| 6 |
+
|
| 7 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 8 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 9 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 10 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 11 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 12 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 13 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 14 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 15 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 16 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 17 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 18 |
+
\definecolor{summaryblack}{HTML}{000000}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{tikzpicture}
|
| 21 |
+
\begin{axis}[
|
| 22 |
+
width=13.8cm,
|
| 23 |
+
height=8.4cm,
|
| 24 |
+
ymin=0.0, ymax=1.0,
|
| 25 |
+
title={Conditional locality decomposition},
|
| 26 |
+
ylabel={Conditional fidelity score},
|
| 27 |
+
xtick={1,2,3},
|
| 28 |
+
xticklabels={Grouped / Global,2D Surface,Filtered / Local},
|
| 29 |
+
ymajorgrids,
|
| 30 |
+
grid style={draw=gray!20},
|
| 31 |
+
major grid style={draw=gray!28},
|
| 32 |
+
axis line style={draw=black!70},
|
| 33 |
+
tick style={draw=black!70},
|
| 34 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
|
| 35 |
+
]
|
| 36 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelarf, fill=modelarf, opacity=0.82] coordinates {(1,0.514410) (2,0.943241) (3,0.578316)};
|
| 37 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelbayesnet, fill=modelbayesnet, opacity=0.82] coordinates {(1,0.528563) (2,0.943418) (3,0.590767)};
|
| 38 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelctgan, fill=modelctgan, opacity=0.82] coordinates {(1,0.518313) (2,0.938868) (3,0.502965)};
|
| 39 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelforestdiffusion, fill=modelforestdiffusion, opacity=0.82] coordinates {(1,0.428868) (2,0.928066) (3,0.405873)};
|
| 40 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelrealtabformer, fill=modelrealtabformer, opacity=0.82] coordinates {(1,0.642171) (2,0.991771) (3,0.725290)};
|
| 41 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabbyflow, fill=modeltabbyflow, opacity=0.82] coordinates {(1,0.443399) (2,0.938558) (3,0.479184)};
|
| 42 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabddpm, fill=modeltabddpm, opacity=0.82] coordinates {(1,0.435330) (2,0.960794) (3,0.480608)};
|
| 43 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabdiff, fill=modeltabdiff, opacity=0.82] coordinates {(1,0.467464) (2,0.966405) (3,0.490968)};
|
| 44 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabpfgen, fill=modeltabpfgen, opacity=0.82] coordinates {(1,0.500275) (2,0.920881) (3,0.553496)};
|
| 45 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabsyn, fill=modeltabsyn, opacity=0.82] coordinates {(1,0.478248) (2,0.946274) (3,0.546588)};
|
| 46 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltvae, fill=modeltvae, opacity=0.82] coordinates {(1,0.486116) (2,0.958343) (3,0.404814)};
|
| 47 |
+
\addplot+[mark=*, mark size=2.6pt, line width=1.8pt, draw=summaryblack, fill=summaryblack] coordinates {(1,0.496910) (2,0.948784) (3,0.524149)};
|
| 48 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (1,0.496910) +- (0,0.032741) };
|
| 49 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (2,0.948784) +- (0,0.013789) };
|
| 50 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (3,0.524149) +- (0,0.045843) };
|
| 51 |
+
\end{axis}
|
| 52 |
+
\end{tikzpicture}
|
| 53 |
+
\end{document}
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_support_combined.svg
ADDED
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_locality_support_combined.tex
ADDED
|
@@ -0,0 +1,66 @@
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| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usepackage{xcolor}
|
| 5 |
+
\pgfplotsset{compat=1.18}
|
| 6 |
+
|
| 7 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 8 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 9 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 10 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 11 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 12 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 13 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 14 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 15 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 16 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 17 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 18 |
+
\definecolor{summaryblack}{HTML}{000000}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{tikzpicture}
|
| 21 |
+
\begin{groupplot}[
|
| 22 |
+
group style={group size=2 by 1, horizontal sep=1.3cm},
|
| 23 |
+
width=6.6cm,
|
| 24 |
+
height=7.6cm,
|
| 25 |
+
ymin=0.0, ymax=1.0,
|
| 26 |
+
ymajorgrids,
|
| 27 |
+
grid style={draw=gray!20},
|
| 28 |
+
major grid style={draw=gray!28},
|
| 29 |
+
axis line style={draw=black!70},
|
| 30 |
+
tick style={draw=black!70},
|
| 31 |
+
]
|
| 32 |
+
\nextgroupplot[title={Panel A. Locality decomposition}, ylabel={Conditional fidelity score}, xtick={1,2,3}, xticklabels={Grouped / Global,2D Surface,Filtered / Local}]
|
| 33 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelarf, fill=modelarf, opacity=0.78] coordinates {(1,0.514410) (2,0.943241) (3,0.578316)};
|
| 34 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelbayesnet, fill=modelbayesnet, opacity=0.78] coordinates {(1,0.528563) (2,0.943418) (3,0.590767)};
|
| 35 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelctgan, fill=modelctgan, opacity=0.78] coordinates {(1,0.518313) (2,0.938868) (3,0.502965)};
|
| 36 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelforestdiffusion, fill=modelforestdiffusion, opacity=0.78] coordinates {(1,0.428868) (2,0.928066) (3,0.405873)};
|
| 37 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelrealtabformer, fill=modelrealtabformer, opacity=0.78] coordinates {(1,0.642171) (2,0.991771) (3,0.725290)};
|
| 38 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabbyflow, fill=modeltabbyflow, opacity=0.78] coordinates {(1,0.443399) (2,0.938558) (3,0.479184)};
|
| 39 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabddpm, fill=modeltabddpm, opacity=0.78] coordinates {(1,0.435330) (2,0.960794) (3,0.480608)};
|
| 40 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabdiff, fill=modeltabdiff, opacity=0.78] coordinates {(1,0.467464) (2,0.966405) (3,0.490968)};
|
| 41 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabpfgen, fill=modeltabpfgen, opacity=0.78] coordinates {(1,0.500275) (2,0.920881) (3,0.553496)};
|
| 42 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabsyn, fill=modeltabsyn, opacity=0.78] coordinates {(1,0.478248) (2,0.946274) (3,0.546588)};
|
| 43 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltvae, fill=modeltvae, opacity=0.78] coordinates {(1,0.486116) (2,0.958343) (3,0.404814)};
|
| 44 |
+
\addplot+[mark=*, mark size=2.5pt, line width=1.8pt, draw=summaryblack, fill=summaryblack] coordinates {(1,0.496910) (2,0.948784) (3,0.524149)};
|
| 45 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (1,0.496910) +- (0,0.032741) };
|
| 46 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (2,0.948784) +- (0,0.013789) };
|
| 47 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (3,0.524149) +- (0,0.045843) };
|
| 48 |
+
\nextgroupplot[title={Panel B. Support decomposition}, xtick={1,2,3}, xticklabels={Dense,Medium,Sparse}]
|
| 49 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelarf, fill=modelarf, opacity=0.78] coordinates {(1,0.659045) (2,0.591366) (3,0.590151)};
|
| 50 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelbayesnet, fill=modelbayesnet, opacity=0.78] coordinates {(1,0.667834) (2,0.612367) (3,0.547617)};
|
| 51 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelctgan, fill=modelctgan, opacity=0.78] coordinates {(1,0.585926) (2,0.461564) (3,0.438783)};
|
| 52 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelforestdiffusion, fill=modelforestdiffusion, opacity=0.78] coordinates {(1,0.420536) (2,0.476072) (3,0.363245)};
|
| 53 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modelrealtabformer, fill=modelrealtabformer, opacity=0.78] coordinates {(1,0.830758) (2,0.745247) (3,0.712539)};
|
| 54 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabbyflow, fill=modeltabbyflow, opacity=0.78] coordinates {(1,0.517681) (2,0.518860) (3,0.459520)};
|
| 55 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabddpm, fill=modeltabddpm, opacity=0.78] coordinates {(1,0.538307) (2,0.498335) (3,0.422132)};
|
| 56 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabdiff, fill=modeltabdiff, opacity=0.78] coordinates {(1,0.538708) (2,0.528432) (3,0.450310)};
|
| 57 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabpfgen, fill=modeltabpfgen, opacity=0.78] coordinates {(1,0.609626) (2,0.613785) (3,0.505940)};
|
| 58 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltabsyn, fill=modeltabsyn, opacity=0.78] coordinates {(1,0.593607) (2,0.582095) (3,0.492035)};
|
| 59 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltvae, fill=modeltvae, opacity=0.78] coordinates {(1,0.517385) (2,0.392556) (3,0.323651)};
|
| 60 |
+
\addplot+[mark=*, mark size=2.5pt, line width=1.8pt, draw=summaryblack, fill=summaryblack] coordinates {(1,0.590639) (2,0.547348) (3,0.483777)};
|
| 61 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (1,0.590639) +- (0,0.053714) };
|
| 62 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (2,0.547348) +- (0,0.055578) };
|
| 63 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (3,0.483777) +- (0,0.053077) };
|
| 64 |
+
\end{groupplot}
|
| 65 |
+
\end{tikzpicture}
|
| 66 |
+
\end{document}
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_by_model.svg
ADDED
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_by_model.tex
ADDED
|
@@ -0,0 +1,65 @@
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|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usepackage{xcolor}
|
| 5 |
+
\pgfplotsset{compat=1.18}
|
| 6 |
+
|
| 7 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 8 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 9 |
+
\definecolor{modelctgan}{HTML}{EE6677}
|
| 10 |
+
\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 11 |
+
\definecolor{modelrealtabformer}{HTML}{332288}
|
| 12 |
+
\definecolor{modeltabbyflow}{HTML}{882255}
|
| 13 |
+
\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 14 |
+
\definecolor{modeltabdiff}{HTML}{AA3377}
|
| 15 |
+
\definecolor{modeltabpfgen}{HTML}{009988}
|
| 16 |
+
\definecolor{modeltabsyn}{HTML}{66CCEE}
|
| 17 |
+
\definecolor{modeltvae}{HTML}{4477AA}
|
| 18 |
+
\definecolor{summaryblack}{HTML}{000000}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{tikzpicture}
|
| 21 |
+
\begin{axis}[
|
| 22 |
+
width=13.8cm,
|
| 23 |
+
height=8.4cm,
|
| 24 |
+
ymin=0.0, ymax=1.0,
|
| 25 |
+
title={Conditional support decomposition by model},
|
| 26 |
+
ylabel={Filtered-local conditional fidelity},
|
| 27 |
+
xtick={1,2,3},
|
| 28 |
+
xticklabels={Dense,Medium,Sparse},
|
| 29 |
+
ymajorgrids,
|
| 30 |
+
grid style={draw=gray!20},
|
| 31 |
+
major grid style={draw=gray!28},
|
| 32 |
+
axis line style={draw=black!70},
|
| 33 |
+
tick style={draw=black!70},
|
| 34 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
|
| 35 |
+
]
|
| 36 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelarf, fill=modelarf, opacity=0.82] coordinates {(1,0.659045) (2,0.591366) (3,0.590151)};
|
| 37 |
+
\addlegendentry{ARF}
|
| 38 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelbayesnet, fill=modelbayesnet, opacity=0.82] coordinates {(1,0.667834) (2,0.612367) (3,0.547617)};
|
| 39 |
+
\addlegendentry{BayesNet}
|
| 40 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelctgan, fill=modelctgan, opacity=0.82] coordinates {(1,0.585926) (2,0.461564) (3,0.438783)};
|
| 41 |
+
\addlegendentry{CTGAN}
|
| 42 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelforestdiffusion, fill=modelforestdiffusion, opacity=0.82] coordinates {(1,0.420536) (2,0.476072) (3,0.363245)};
|
| 43 |
+
\addlegendentry{ForestDiffusion}
|
| 44 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modelrealtabformer, fill=modelrealtabformer, opacity=0.82] coordinates {(1,0.830758) (2,0.745247) (3,0.712539)};
|
| 45 |
+
\addlegendentry{RealTabFormer}
|
| 46 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabbyflow, fill=modeltabbyflow, opacity=0.82] coordinates {(1,0.517681) (2,0.518860) (3,0.459520)};
|
| 47 |
+
\addlegendentry{TabbyFlow}
|
| 48 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabddpm, fill=modeltabddpm, opacity=0.82] coordinates {(1,0.538307) (2,0.498335) (3,0.422132)};
|
| 49 |
+
\addlegendentry{TabDDPM}
|
| 50 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabdiff, fill=modeltabdiff, opacity=0.82] coordinates {(1,0.538708) (2,0.528432) (3,0.450310)};
|
| 51 |
+
\addlegendentry{TabDiff}
|
| 52 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabpfgen, fill=modeltabpfgen, opacity=0.82] coordinates {(1,0.609626) (2,0.613785) (3,0.505940)};
|
| 53 |
+
\addlegendentry{TabPFGen}
|
| 54 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltabsyn, fill=modeltabsyn, opacity=0.82] coordinates {(1,0.593607) (2,0.582095) (3,0.492035)};
|
| 55 |
+
\addlegendentry{TabSyn}
|
| 56 |
+
\addplot+[mark=*, mark size=1.8pt, line width=0.9pt, draw=modeltvae, fill=modeltvae, opacity=0.82] coordinates {(1,0.517385) (2,0.392556) (3,0.323651)};
|
| 57 |
+
\addlegendentry{TVAE}
|
| 58 |
+
\addplot+[mark=*, mark size=2.6pt, line width=1.8pt, draw=summaryblack, fill=summaryblack] coordinates {(1,0.590639) (2,0.547348) (3,0.483777)};
|
| 59 |
+
\addlegendentry{Panel mean}
|
| 60 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (1,0.590639) +- (0,0.053714) };
|
| 61 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (2,0.547348) +- (0,0.055578) };
|
| 62 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (3,0.483777) +- (0,0.053077) };
|
| 63 |
+
\end{axis}
|
| 64 |
+
\end{tikzpicture}
|
| 65 |
+
\end{document}
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_main.svg
ADDED
|
evaluation/query_family/conditional/locality_support_diagnostics/final/fig_conditional_support_main.tex
ADDED
|
@@ -0,0 +1,53 @@
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| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usepackage{xcolor}
|
| 5 |
+
\pgfplotsset{compat=1.18}
|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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\definecolor{modelrealtabformer}{HTML}{332288}
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| 12 |
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\definecolor{modeltabbyflow}{HTML}{882255}
|
| 13 |
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\definecolor{modeltabddpm}{HTML}{EE7733}
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
+
\definecolor{summaryblack}{HTML}{000000}
|
| 19 |
+
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|
| 20 |
+
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|
| 21 |
+
\begin{axis}[
|
| 22 |
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width=13.8cm,
|
| 23 |
+
height=8.4cm,
|
| 24 |
+
ymin=0.0, ymax=1.0,
|
| 25 |
+
title={Conditional support decomposition},
|
| 26 |
+
ylabel={Filtered-local conditional fidelity},
|
| 27 |
+
xtick={1,2,3},
|
| 28 |
+
xticklabels={Dense,Medium,Sparse},
|
| 29 |
+
ymajorgrids,
|
| 30 |
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grid style={draw=gray!20},
|
| 31 |
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|
| 32 |
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axis line style={draw=black!70},
|
| 33 |
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tick style={draw=black!70},
|
| 34 |
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legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
|
| 35 |
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| 36 |
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| 49 |
+
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|
| 50 |
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\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (3,0.483777) +- (0,0.053077) };
|
| 51 |
+
\end{axis}
|
| 52 |
+
\end{tikzpicture}
|
| 53 |
+
\end{document}
|
evaluation/query_family/conditional/locality_support_diagnostics/final/manifest.json
ADDED
|
@@ -0,0 +1,240 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"task": "conditional_locality_support_diagnostic",
|
| 3 |
+
"generated_at_utc": "2026-05-24T09:10:34.236847+00:00",
|
| 4 |
+
"source_analysis_run": "20260524_encodingrepair_v2_analysis_merged49",
|
| 5 |
+
"source_conditional_root": "/data/jialinzhang/TabQueryBench/code_snapshot/Evaluation/query_fivepart_breakdown/conditional_breakdown",
|
| 6 |
+
"run_tag": "20260524_090854_conditional_locality_support",
|
| 7 |
+
"run_dir": "/data/jialinzhang/TabQueryBench/code_snapshot/Evaluation/query_fivepart_breakdown/conditional_breakdown/locality_support_diagnostics/runs/20260524_090854_conditional_locality_support",
|
| 8 |
+
"primary_support_variant": "all_filtered_local",
|
| 9 |
+
"primary_support_reason": "primary_scalar_variant_missing",
|
| 10 |
+
"coverage": {
|
| 11 |
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"conditional_query_rows": 17606,
|
| 12 |
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"locality_dataset_model_panels": 404,
|
| 13 |
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"filtered_local_query_rows": 2317,
|
| 14 |
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"support_unique_cases": 223,
|
| 15 |
+
"support_primary_panel_rows": 648
|
| 16 |
+
},
|
| 17 |
+
"support_method_summary": {
|
| 18 |
+
"case_count": 223,
|
| 19 |
+
"template_count": 1,
|
| 20 |
+
"mode_counts": {
|
| 21 |
+
"exact": 187,
|
| 22 |
+
"unavailable": 36
|
| 23 |
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},
|
| 24 |
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"sql_artifact_found_count": 196,
|
| 25 |
+
"sql_artifact_missing_count": 27,
|
| 26 |
+
"main_eligible_case_count": 0
|
| 27 |
+
},
|
| 28 |
+
"support_variant_summary": {
|
| 29 |
+
"scalar_filtered_local": {
|
| 30 |
+
"eligible_case_count": 0,
|
| 31 |
+
"supported_dataset_count": 0,
|
| 32 |
+
"unsupported_dataset_count": 0,
|
| 33 |
+
"dataset_notes": []
|
| 34 |
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},
|
| 35 |
+
"all_filtered_local": {
|
| 36 |
+
"eligible_case_count": 187,
|
| 37 |
+
"supported_dataset_count": 21,
|
| 38 |
+
"unsupported_dataset_count": 2,
|
| 39 |
+
"dataset_notes": [
|
| 40 |
+
{
|
| 41 |
+
"analysis_variant": "all_filtered_local",
|
| 42 |
+
"dataset_id": "c4",
|
| 43 |
+
"case_count": 9,
|
| 44 |
+
"unique_support_values": 9,
|
| 45 |
+
"bucketing_status": "ok"
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"analysis_variant": "all_filtered_local",
|
| 49 |
+
"dataset_id": "c5",
|
| 50 |
+
"case_count": 2,
|
| 51 |
+
"unique_support_values": 2,
|
| 52 |
+
"bucketing_status": "unsupported_degenerate_within_dataset"
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"analysis_variant": "all_filtered_local",
|
| 56 |
+
"dataset_id": "m4",
|
| 57 |
+
"case_count": 8,
|
| 58 |
+
"unique_support_values": 8,
|
| 59 |
+
"bucketing_status": "ok"
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"analysis_variant": "all_filtered_local",
|
| 63 |
+
"dataset_id": "m10",
|
| 64 |
+
"case_count": 9,
|
| 65 |
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"unique_support_values": 9,
|
| 66 |
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"bucketing_status": "ok"
|
| 67 |
+
},
|
| 68 |
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{
|
| 69 |
+
"analysis_variant": "all_filtered_local",
|
| 70 |
+
"dataset_id": "n8",
|
| 71 |
+
"case_count": 4,
|
| 72 |
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"unique_support_values": 4,
|
| 73 |
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"bucketing_status": "ok"
|
| 74 |
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},
|
| 75 |
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{
|
| 76 |
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"analysis_variant": "all_filtered_local",
|
| 77 |
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"dataset_id": "c7",
|
| 78 |
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"case_count": 9,
|
| 79 |
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"unique_support_values": 9,
|
| 80 |
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"bucketing_status": "ok"
|
| 81 |
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},
|
| 82 |
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{
|
| 83 |
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"analysis_variant": "all_filtered_local",
|
| 84 |
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"dataset_id": "c8",
|
| 85 |
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"case_count": 9,
|
| 86 |
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"unique_support_values": 9,
|
| 87 |
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"bucketing_status": "ok"
|
| 88 |
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},
|
| 89 |
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{
|
| 90 |
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|
| 91 |
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"dataset_id": "n15",
|
| 92 |
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|
| 93 |
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"unique_support_values": 7,
|
| 94 |
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"bucketing_status": "ok"
|
| 95 |
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},
|
| 96 |
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{
|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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{
|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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"bucketing_status": "ok"
|
| 109 |
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},
|
| 110 |
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{
|
| 111 |
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"analysis_variant": "all_filtered_local",
|
| 112 |
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"dataset_id": "c17",
|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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},
|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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| 126 |
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|
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|
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|
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|
| 131 |
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| 132 |
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|
| 133 |
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|
| 134 |
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| 135 |
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|
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|
| 138 |
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|
| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"analysis_variant": "all_filtered_local",
|
| 154 |
+
"dataset_id": "c19",
|
| 155 |
+
"case_count": 8,
|
| 156 |
+
"unique_support_values": 7,
|
| 157 |
+
"bucketing_status": "ok"
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"analysis_variant": "all_filtered_local",
|
| 161 |
+
"dataset_id": "c18",
|
| 162 |
+
"case_count": 8,
|
| 163 |
+
"unique_support_values": 8,
|
| 164 |
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"bucketing_status": "ok"
|
| 165 |
+
},
|
| 166 |
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{
|
| 167 |
+
"analysis_variant": "all_filtered_local",
|
| 168 |
+
"dataset_id": "n19",
|
| 169 |
+
"case_count": 6,
|
| 170 |
+
"unique_support_values": 2,
|
| 171 |
+
"bucketing_status": "unsupported_degenerate_within_dataset"
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"analysis_variant": "all_filtered_local",
|
| 175 |
+
"dataset_id": "c14",
|
| 176 |
+
"case_count": 9,
|
| 177 |
+
"unique_support_values": 9,
|
| 178 |
+
"bucketing_status": "ok"
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"analysis_variant": "all_filtered_local",
|
| 182 |
+
"dataset_id": "n12",
|
| 183 |
+
"case_count": 8,
|
| 184 |
+
"unique_support_values": 4,
|
| 185 |
+
"bucketing_status": "ok"
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"analysis_variant": "all_filtered_local",
|
| 189 |
+
"dataset_id": "c15",
|
| 190 |
+
"case_count": 9,
|
| 191 |
+
"unique_support_values": 9,
|
| 192 |
+
"bucketing_status": "ok"
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"analysis_variant": "all_filtered_local",
|
| 196 |
+
"dataset_id": "c10",
|
| 197 |
+
"case_count": 9,
|
| 198 |
+
"unique_support_values": 9,
|
| 199 |
+
"bucketing_status": "ok"
|
| 200 |
+
}
|
| 201 |
+
]
|
| 202 |
+
}
|
| 203 |
+
},
|
| 204 |
+
"compile_notes": {
|
| 205 |
+
"fig_conditional_locality_main": {
|
| 206 |
+
"success": false,
|
| 207 |
+
"note": "latexmk not available"
|
| 208 |
+
},
|
| 209 |
+
"fig_conditional_locality_by_model": {
|
| 210 |
+
"success": false,
|
| 211 |
+
"note": "latexmk not available"
|
| 212 |
+
},
|
| 213 |
+
"fig_conditional_support_main": {
|
| 214 |
+
"success": false,
|
| 215 |
+
"note": "latexmk not available"
|
| 216 |
+
},
|
| 217 |
+
"fig_conditional_support_by_model": {
|
| 218 |
+
"success": false,
|
| 219 |
+
"note": "latexmk not available"
|
| 220 |
+
},
|
| 221 |
+
"fig_conditional_locality_support_combined": {
|
| 222 |
+
"success": false,
|
| 223 |
+
"note": "latexmk not available"
|
| 224 |
+
},
|
| 225 |
+
"table_conditional_locality_summary": {
|
| 226 |
+
"success": false,
|
| 227 |
+
"note": "latexmk not available"
|
| 228 |
+
},
|
| 229 |
+
"table_conditional_support_summary": {
|
| 230 |
+
"success": false,
|
| 231 |
+
"note": "latexmk not available"
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"key_findings": {
|
| 235 |
+
"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).",
|
| 236 |
+
"locality_model": "The strongest grouped/global to filtered/local drop appears for TVAE, falling from 0.486 to 0.405.",
|
| 237 |
+
"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.",
|
| 238 |
+
"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."
|
| 239 |
+
}
|
| 240 |
+
}
|
evaluation/query_family/conditional/locality_support_diagnostics/final/must_do/fig_conditional_locality_main.svg
ADDED
|
evaluation/query_family/conditional/locality_support_diagnostics/final/must_do/fig_conditional_locality_main.tex
ADDED
|
@@ -0,0 +1,53 @@
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| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usepackage{xcolor}
|
| 5 |
+
\pgfplotsset{compat=1.18}
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| 6 |
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|
| 7 |
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\definecolor{modelarf}{HTML}{777777}
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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\definecolor{modeltvae}{HTML}{4477AA}
|
| 18 |
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\definecolor{summaryblack}{HTML}{000000}
|
| 19 |
+
\begin{document}
|
| 20 |
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\begin{tikzpicture}
|
| 21 |
+
\begin{axis}[
|
| 22 |
+
width=13.8cm,
|
| 23 |
+
height=8.4cm,
|
| 24 |
+
ymin=0.0, ymax=1.0,
|
| 25 |
+
title={Conditional locality decomposition},
|
| 26 |
+
ylabel={Conditional fidelity score},
|
| 27 |
+
xtick={1,2,3},
|
| 28 |
+
xticklabels={Grouped / Global,2D Surface,Filtered / Local},
|
| 29 |
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ymajorgrids,
|
| 30 |
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grid style={draw=gray!20},
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| 31 |
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major grid style={draw=gray!28},
|
| 32 |
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axis line style={draw=black!70},
|
| 33 |
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tick style={draw=black!70},
|
| 34 |
+
legend style={draw=none, fill=none, font=\scriptsize, at={(0.98,0.98)}, anchor=north east},
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| 35 |
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]
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|
| 47 |
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| 48 |
+
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|
| 49 |
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| 50 |
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|
| 51 |
+
\end{axis}
|
| 52 |
+
\end{tikzpicture}
|
| 53 |
+
\end{document}
|
evaluation/query_family/conditional/locality_support_diagnostics/final/must_do/fig_conditional_locality_support_combined.tex
ADDED
|
@@ -0,0 +1,66 @@
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|
| 1 |
+
\documentclass[tikz,border=4pt]{standalone}
|
| 2 |
+
\usepackage{pgfplots}
|
| 3 |
+
\usepgfplotslibrary{groupplots}
|
| 4 |
+
\usepackage{xcolor}
|
| 5 |
+
\pgfplotsset{compat=1.18}
|
| 6 |
+
|
| 7 |
+
\definecolor{modelarf}{HTML}{777777}
|
| 8 |
+
\definecolor{modelbayesnet}{HTML}{CCBB44}
|
| 9 |
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\definecolor{modelctgan}{HTML}{EE6677}
|
| 10 |
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\definecolor{modelforestdiffusion}{HTML}{228833}
|
| 11 |
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\definecolor{modelrealtabformer}{HTML}{332288}
|
| 12 |
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\definecolor{modeltabbyflow}{HTML}{882255}
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
+
\definecolor{summaryblack}{HTML}{000000}
|
| 19 |
+
\begin{document}
|
| 20 |
+
\begin{tikzpicture}
|
| 21 |
+
\begin{groupplot}[
|
| 22 |
+
group style={group size=2 by 1, horizontal sep=1.3cm},
|
| 23 |
+
width=6.6cm,
|
| 24 |
+
height=7.6cm,
|
| 25 |
+
ymin=0.0, ymax=1.0,
|
| 26 |
+
ymajorgrids,
|
| 27 |
+
grid style={draw=gray!20},
|
| 28 |
+
major grid style={draw=gray!28},
|
| 29 |
+
axis line style={draw=black!70},
|
| 30 |
+
tick style={draw=black!70},
|
| 31 |
+
]
|
| 32 |
+
\nextgroupplot[title={Panel A. Locality decomposition}, ylabel={Conditional fidelity score}, xtick={1,2,3}, xticklabels={Grouped / Global,2D Surface,Filtered / Local}]
|
| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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|
| 38 |
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|
| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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|
| 47 |
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|
| 48 |
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\nextgroupplot[title={Panel B. Support decomposition}, xtick={1,2,3}, xticklabels={Dense,Medium,Sparse}]
|
| 49 |
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| 59 |
+
\addplot+[mark=*, mark size=1.6pt, line width=0.85pt, draw=modeltvae, fill=modeltvae, opacity=0.78] coordinates {(1,0.517385) (2,0.392556) (3,0.323651)};
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| 60 |
+
\addplot+[mark=*, mark size=2.5pt, line width=1.8pt, draw=summaryblack, fill=summaryblack] coordinates {(1,0.590639) (2,0.547348) (3,0.483777)};
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+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (1,0.590639) +- (0,0.053714) };
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| 62 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (2,0.547348) +- (0,0.055578) };
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| 63 |
+
\addplot+[only marks, mark=none, draw=summaryblack, error bars/.cd, y dir=both, y explicit] coordinates { (3,0.483777) +- (0,0.053077) };
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| 64 |
+
\end{groupplot}
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| 65 |
+
\end{tikzpicture}
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+
\end{document}
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evaluation/query_family/conditional/locality_support_diagnostics/final/paper_caption.txt
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+
Figure 1. Conditional locality decomposition.
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| 2 |
+
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). Points and error bars show panel means with 95% confidence intervals; colored traces show per-model means under the frozen model roster and color convention.
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| 3 |
+
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| 4 |
+
Figure 2. Conditional support decomposition.
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| 5 |
+
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. The main support figure uses the all filtered-local templates subset so that support is measured on a comparable exact real-row-count scale within each dataset.
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| 6 |
+
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| 7 |
+
Figure 3. Combined conditional locality/support diagnostic.
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| 8 |
+
Panel A shows the locality decomposition from grouped/global summaries to filtered/local slices. Panel B shows the dense/medium/sparse comparison inside the filtered-local subset. Both panels use panel-level aggregation and expose coverage caveats in the companion audit tables rather than hiding thin buckets.
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evaluation/query_family/conditional/locality_support_diagnostics/final/paper_paragraphs.md
ADDED
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+
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). This suggests that axis count alone is not the most interpretable explanation for the conditional-family weakness: grouped/global summaries remain comparatively more stable, while narrow filtered slices are harder to preserve.
|
| 2 |
+
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| 3 |
+
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. That pattern indicates that sparse real support explains part of the local-slice collapse, consistent with synthetic generators smoothing away rare conditional interactions.
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| 4 |
+
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| 5 |
+
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. At the same time, the support diagnostic does not fully explain the conditional gap on its own: even dense local slices can remain weak for some models, and the 2D-surface bucket still rests on limited template coverage.
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evaluation/query_family/conditional/locality_support_diagnostics/final/table_conditional_locality_summary.tex
ADDED
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+
\documentclass{standalone}
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| 2 |
+
\usepackage[table]{xcolor}
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| 3 |
+
\usepackage{booktabs}
|
| 4 |
+
\begin{document}
|
| 5 |
+
\scriptsize
|
| 6 |
+
\emph{Panel-level locality summary.}\\[0.4em]
|
| 7 |
+
\begin{tabular}{llllll}
|
| 8 |
+
\toprule
|
| 9 |
+
Bucket & Panels & Datasets & Templates & Mean & 95\% CI \\
|
| 10 |
+
\midrule
|
| 11 |
+
Grouped / Global & 404 & 39 & 4 & 0.497 & 0.033 \\
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| 12 |
+
2D Surface & 33 & 3 & 1 & 0.949 & 0.014 \\
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| 13 |
+
Filtered / Local & 280 & 27 & 1 & 0.524 & 0.046 \\
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| 14 |
+
\bottomrule
|
| 15 |
+
\end{tabular}
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| 16 |
+
\end{document}
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evaluation/query_family/conditional/locality_support_diagnostics/final/table_conditional_support_summary.tex
ADDED
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+
\documentclass{standalone}
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| 2 |
+
\usepackage[table]{xcolor}
|
| 3 |
+
\usepackage{booktabs}
|
| 4 |
+
\begin{document}
|
| 5 |
+
\scriptsize
|
| 6 |
+
\emph{Panel-level support summary.}\\[0.4em]
|
| 7 |
+
\begin{tabular}{llllll}
|
| 8 |
+
\toprule
|
| 9 |
+
Bucket & Panels & Datasets & Templates & Mean & 95\% CI \\
|
| 10 |
+
\midrule
|
| 11 |
+
Dense & 216 & 21 & 1 & 0.591 & 0.054 \\
|
| 12 |
+
Medium & 216 & 21 & 1 & 0.547 & 0.056 \\
|
| 13 |
+
Sparse & 216 & 21 & 1 & 0.484 & 0.053 \\
|
| 14 |
+
\bottomrule
|
| 15 |
+
\end{tabular}
|
| 16 |
+
\end{document}
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