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使用决策树识别影响目标变量的关键规则（decision tree 决策树）
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- Zafer-Liu/Data-Analysis-Agent
- Last source activity
- October 24, 2026 at 14:41
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- description
- 使用决策树识别影响目标变量的关键规则（decision tree 决策树）
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- tags
- ["mode-business","mode-ml","modeling"]
- allowedTools
- ["get_schema","query_data","run_analysis","generate_chart"]
# 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`
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