Results & Reporting

Capture findings, metrics, and insights in a way that stakeholders can easily digest. Use this page as the living history of outcomes.

Executive Summary

• Brief description of current best model/performance.
• Key takeaways and recommended actions.
• Confidence level and caveats.

Metrics Dashboard

Date	Model/Version	Dataset	Metric(s)	Result	Notes
2025-01-10	EXP-002 Random Forest	Validation	RMSE	1.23	Baseline
2025-01-17	EXP-003 Gradient Boosting	Validation	RMSE	1.05	Improved features

Populate this table with each iteration so trends are visible.

Visualisations

• Confusion matrices, ROC/PR curves, lift charts, calibration plots.
• Feature importance rankings, SHAP value distributions.
• Time series forecasts vs. actuals, error histograms.
• Store figures in reports/figures/ and reference them here.

Narrative Reports

• Link to notebooks, slide decks, markdown reports, or external dashboards.
• Summarise methodologies, experiments, and findings in a structured format:
  1. Problem recap
  2. Data overview
  3. Modelling approach
  4. Key results
  5. Business implications
  6. Recommendations

Stakeholder Communication

• Meeting cadence (weekly sync, monthly steering committee).
• Status updates (email, Slack, Confluence).
• Contact list and escalation paths.

Next Steps & Open Questions

• What needs to be validated next?
• Remaining risks (data gaps, model drift, regulatory review).
• Deployment blockers or dependencies on other teams.