revise topics/decision trees for decision tables terminology shift

[sei-renae]

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:

• Added an inline note at the top explaining that SSVC uses "decision tree" in the operations-research sense (hand-crafted choices), not the machine learning sense (statistically learned models), and notes the terminology shift to "decision table" in SSVC v2025.9 to reduce confusion. Includes a link to ADR-0014 for further details.

Documentation and formatting improvements:

• Applied markdownlint
• Updated references to external resources, such as the VRDA framework and the R data.tree package, to use direct links and clearer descriptions.

Markdownlint is unhappy about a few things:

decision_trees.md:56 error MD040/fenced-code-language Fenced code blocks should have a language specified [Context: "```"]
decision_trees.md:56 error MD046/code-block-style Code block style [Expected: indented; Actual: fenced]
decision_trees.md:77 error MD040/fenced-code-language Fenced code blocks should have a language specified [Context: "```"]
decision_trees.md:77 error MD046/code-block-style Code block style [Expected: indented; Actual: fenced]
decision_trees.md:92:2 error MD059/descriptive-link-text Link text should be descriptive [Context: "[here]"]

Resolves #990

[Copilot]

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.

[Copilot]

The admonition title uses nested double quotes ("About the term "decision tree""), which will likely break MkDocs/Material admonition parsing. Use a title without nested quotes (e.g., single quotes around decision tree) or escape the inner quotes so the admonition renders correctly.

Suggested change

	!!! note inline end "About the term "decision tree""
	!!! note inline end "About the term 'decision tree'"

[Copilot]

The ADR link target appears to be incorrect. In this repo the ADR filename is docs/adr/0014-use-decision-table-terminology.md, and from docs/topics/decision_trees.md the relative path should likely be ../adr/... (not ../../docs/adr/...). As written, this link will 404 in the rendered docs.

Suggested change

	[ADR-0014](../../docs/adr/0014-decision-tree-vs-decision-table.md).
	[ADR-0014](../adr/0014-use-decision-table-terminology.md).

[Copilot]

Link text "here" is non-descriptive and violates the repo's markdownlint rule for descriptive link text (MD059). Replace with something descriptive like “the full CVSS v3 tree” so the link remains meaningful out of context.

Suggested change

	represented as a decision tree. The full tree can be found
	[here](cvss_full_tree.md). This tree representation is functional, but not as
	flexible or aesthetic as might be hoped. The visualizations provided by R are
	geared towards analysis of decision trees in a random forest ML model, rather
	than operations-research type trees.
	represented as a decision tree. [The full CVSS version 3.0 decision tree]
	(cvss_full_tree.md) shows the complete structure. This tree representation is
	functional, but not as flexible or aesthetic as might be hoped. The
	visualizations provided by R are geared towards analysis of decision trees in a
	random forest ML model, rather than operations-research type trees.

[sei-renae]

Resolves #991