Missingness Breakdown

Source mode: direct_missingness_evaluator
Reference analysis run: trainonly_v2_current_success_official_20way_official20_20260519_232817
Included models: 11
Deduplicated dataset-model panels: 509
Direct model-dataset rows used: 509
Direct target rows used: 3825

Canonical decomposition

missingness_structure = 0.5 * marginal_missing_rate_consistency + 0.5 * co_missingness_pattern_consistency
Canonical co_missingness_pattern_consistency now uses profile-only edge averaging.
co_missing_strength_score is exported separately as an auxiliary diagnostic and is not folded into the two-subitem family score.
co_missing_composite_score preserves the previous 0.7-profile / 0.3-strength blend for sensitivity analysis only.
This bundle bypasses SQL query analysis and uses the canonical direct co-missing evaluator over real-train vs synthetic CSV pairs.
The standardized appendix bundle now mirrors tradeoff, prefix, and heatmap views just like the other query families.