Outcome metrics and key-driver modeling

The outcome studio fits a regularized logistic model to an explicitly selected binary outcome and drivers, then reports deterministic holdout AUC, accuracy, Brier score, calibration, observed segments, and reviewable actions.

• Association and prediction do not establish causality.
• At least 60 complete rows, 25 successes, and 25 other outcomes are required.
• Synthetic scenarios are labeled modeled estimates rather than observed evidence.

These boundaries travel with the claim in the versioned evidence graph, its JSON representation, the LLM reference, and MCP evidence resources. A generated finding or workflow shortcut does not override them.

Inspect the underlying product and methods evidence before relying on this workflow in a consequential study:

• /methods
• /capacity