Research workflow

End-to-end loop so you can finish a methods-style study in the workbench: health → train → trust pack → leakage → external validation → curves / ZIP / predict session. For research and education only. Outputs are not clinical recommendations and are not intended for patient care. We are working toward broader general-purpose use in the future.

Free demo server — it may be slow. Check it with a small amount of data. For larger workloads or freer experimentation, run locally or on your own server. Open live demo

Recommended path

  1. Open the workbench → Research (or Home → Start research wizard).
  2. Pick demo/upload CSV + task → run health.
  3. Train (optional bootstrap samples for ROC/PR CIs on Train).
  4. Confirm trust pack; run leakage and optional external validation.
  5. Export ZIP / methods.md; open Analytics for ROC/PR/calibration PNG or Print after retrain.
  6. Optional: Predict → Export session JSON for lab notebooks.

Key artifacts

ArtifactWhere
Trust packPer-run file reports/runs/<id>/trust_pack.json (also on run detail; not /v1/reports/trust-pack)
Curves + CIsevaluation_report.json · GET /v1/reports/curves · Analytics
Methods + ZIPResults / wizard download (run_id)
Analysis packAnalytics KPIs · GET /v1/reports/analysis-pack

Related

How it works A–Z Trust surfaces Analytics UI Quickstart