Tree

使用决策树识别影响目标变量的关键规则(decision tree 决策树)

gabrielmoreira Updated 17 repo stars

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决策树分析

确认目标变量和任务类型,排除泄漏字段,合理处理缺失值与类别变量。执行训练验证并报告性能、重要特征和可解释规则;避免把相关性表述为因果。

Tool routing

  1. Use get_schema to identify the target, candidate features, task type, and source table.
  2. Use query_data to verify field names, target distribution, missingness, and leakage risks.
  3. Use run_analysis with analysis_name="Decision_Tree" for the actual tree computation.
  4. Use generate_chart on tree, feature importance, or validation result tables after run_analysis succeeds.

Implementation reference

  • Tool entry: agent/tools/business/data.py::_tool_run_analysis
  • Analysis registry: Function/Analyze/registry.py
  • Analysis implementation: Function/Analyze/Decision_Tree/analyze.py
  • Chart implementation: Function/Charts_generation/chart_generate.py

gabrielmoreira/agent-skills-mirror/tree/main/mirrors/repos/Zafer-Liu@Data-Analysis-Agent/skills/tree commit b70aaa81b9

Frequently asked questions

npx skillmds@latest add gabrielmoreira/tree