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Occupancy probability mismatches in Home Assistant often stem from inaccurate learned values. You can resolve this by manually verifying and recalibrating stored data against real home occupancy records using Python scripting.

To fix a stuck occupancy learning prior, diagnose data discrepancies between learned values and real home data. Recalibrate the stored probabilities by recomputing them against actual occupancy records.

Diagnose false transitions in occupancy detection by analyzing Home Assistant data structures. Validate learned values against real home data and recompute stored probabilities to correct the false state changes.

Yes, Python scripting knowledge is required to recalibrate Home Assistant occupancy data. You need it to access data structures, validate stored learned values, and recompute probabilities against real home data.

The best way to validate learned occupancy values is to manually compare stored probabilities with real home data records. Recompute the learned values in Home Assistant to ensure they reflect actual occupancy patterns.