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Optimization Lab Experiment Details Draft

Optimization 2026-03-09 03:26

Review experiment performance, inspect ranked challengers, and advance the best model into validation or promotion workflows.
Dashboard Experiments Models Validation Leaderboard
Status
Draft
Current lifecycle state of this optimization run.
Target Metric
MinutesMAE
Primary ranking metric used to score challengers.
Candidates
0
Total challengers generated and evaluated for this experiment.
Base Model
v1
Champion baseline used to generate this experiment’s candidates.

Experiment Overview

High-level research context for the current run.
Target: MinutesMAE
Research Goal
This run optimizes candidate models against MinutesMAE, then ranks challengers against the experiment scoring framework.
Execution Mode
Random run. Candidate generation is sampled from inside the configured parameter envelope.
Experiment Notes
Automatic grid-search experiment

Decision Support

Governance
Interpretation
Use this page to identify the strongest challenger, verify the metric profile, and then move the model into validation before any final production promotion.
Best Practice
Promotion should remain exceptional. Even when a challenger wins this leaderboard, validation against the champion should remain the default next step.
Candidate Quality Lens
Prefer challengers that improve the target metric without materially degrading adjacent signals like spread, total, and box-score accuracy.

Candidate Leaderboard

Ranked challenger results for this experiment, ordered by MinutesMAE.
Target: MinutesMAE 0 candidate(s)
No candidate results are available for this experiment yet.