logistic
执行二分类或多分类逻辑回归分析（logistic regression 分类）
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- Zafer-Liu/Data-Analysis-Agent
- Last source activity
- July 17, 2026 at 13:24
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Source instructions · Read-only preview- name
- logistic
- description
- 执行二分类或多分类逻辑回归分析（logistic regression 分类）
- icon
- 📈
- allowedTools
- ["get_schema","query_data","run_analysis","generate_chart"]
# 逻辑回归
确认目标编码、正类定义和特征，检查泄漏、共线性及类别不平衡。报告验证集指标、系数或优势比及不确定性，并把模型结论翻译成业务含义。
## Tool routing
1. Use `get_schema` to identify the target, positive-class definition, features, and source table.
2. Use `query_data` to verify class balance, coding, missingness, and candidate feature fields.
3. Use `run_analysis` with `analysis_name="Logistic_Regression"` for the actual model computation.
4. Use `generate_chart` on ROC, feature importance, or 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/Logistic_Regression/analyze.py`
- Chart implementation: `Function/Charts_generation/chart_generate.py`
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