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An automated statistical model assigning an ai churn prediction score evaluates a subscription profile using an observation horizon set to ninety days before contract expiration. Shortening that horizon to fourteen days compresses the variance in behavioral telemetry, causing the system to catch fewer early deviations while sharply reducing ambiguous signals. The resulting trade-off illustrates a … Read More “Classification Sensitivity and Operational Lead Time in Churn Forecasting” »
