logistic

# 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`