How do we show an early-warning / dropout-prediction model's results across cohorts?
You show the model's results by measuring predictions and error rates across the relevant cohorts on a fixed probe set, documenting any disparity, and monitoring for drift — a reproducible, comparable record rather than a one-time claim. Planisphere generates…
Answer.
You show the model's results by measuring predictions and error rates across the relevant cohorts on a fixed probe set, documenting any disparity, and monitoring for drift — a reproducible, comparable record rather than a one-time claim. Planisphere generates that cross-cohort behaviour-and-drift evidence as a sha-pinned record; it surfaces disparity and change for your review and mitigation, but "fair" is your policy and legal judgment, not a Planisphere certification.
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Start with the free sandbox. Planisphere measures model behaviour and emits a reproducible, sha-pinned record — it does not certify, file, or give legal advice.