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How to tune detection threshold
Use this guide to compare detection outputs at different threshold values.
1) Start with a baseline run
Run an initial prediction workflow and keep outputs in a dedicated folder.
2) Sweep threshold values
If you use the legacy detect command, run multiple thresholds (for example,
0.1, 0.3, 0.5) and compare output counts and quality on a validation
subset.
3) Validate against known calls
Use files with trusted annotations or expert review to select a threshold that fits your project goals.
4) Record your chosen setting
Write down the chosen threshold and rationale so analyses are reproducible.
For conceptual trade-offs, see
{doc}../explanation/model-output-and-validation.