Is our LTV model producing garbage scores for player types it hasn't seen before, and how do we detect that in production?
Apply Mahalanobis distance and energy-based OOD detection to flag out-of-domain players
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Bruin AI Data Analyst
Is our LTV model producing garbage scores for player types it hasn't seen before, and how do we detect that in production?
Bruin connects to your Data Warehouse, Telemetry, Monetization and runs the analysis automatically.
It tracks Mahalanobis distance distribution, OOD recall, model error vs OOD score and delivers the answer in seconds — in Slack, Discord, Teams, or your browser.
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