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