revise topics/decision trees for decision tables terminology shift#1111
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revise topics/decision trees for decision tables terminology shift#1111
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Pull request overview
This PR updates the “Decision Trees” topic documentation to clarify SSVC’s use of “decision tree” (operations-research meaning) vs. the machine-learning meaning, and to note the SSVC v2025.9 terminology shift toward “decision table” to reduce confusion.
Changes:
- Adds an inline note explaining SSVC’s terminology and linking to the relevant ADR.
- Refreshes/clarifies external references (e.g., VRDA,
data.tree) and reflows text for readability. - Minor documentation formatting updates in the examples and surrounding prose.
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Resolves #991
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remove stray space Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
ahouseholder
approved these changes
Apr 13, 2026
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| !!! note inline end "About the term "decision tree"" | |||
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| and codified it in | ||
| [src/SSVC_csv-to-latex.py](https://github.com/CERTCC/SSVC/tree/main/src). Why | ||
| have we gone to this trouble when (for example) the R data.tree package has a | ||
| handy print-to-ASCII function? Because this function produces output like the | ||
| following: |
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This pull request updates the documentation for decision trees to clarify terminology and improve explanations, especially distinguishing between machine learning and operations-research meanings. It also enhances formatting and improves a reference link in the document.
Terminology clarification and context:
Documentation and formatting improvements:
data.treepackage, to use direct links and clearer descriptions.Markdownlint is unhappy about a few things:
Resolves #990