concept:censoring
Censoring
Censoring in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Problem framing, statistics & evaluation
Labels, availability, and leakage
Use labels, availability, and leakage to move the evaluation production brief toward a defensible release.
Problem framing, statistics & evaluationBaselines and honest splits
Use baselines and honest splits to move the evaluation production brief toward a defensible release.
Problem framing, statistics & evaluationMetrics, thresholds, and calibration
Use metrics, thresholds, and calibration to move the evaluation production brief toward a defensible release.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.