决策树分析
SkillAI & modelsUse decision trees to identify key rules affecting the target variable (decision tree)
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 决策树分析 skill
What this skill tells your AI
The instructions your AI receives, as published by zafer-liu/data-analysis-agent in skills/tree/SKILL.md and read by ahel’s review.
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
- Use
get_schemato identify the target, candidate features, task type, and source table. - Use
query_datato verify field names, target distribution, missingness, and leakage risks. - Use
run_analysiswithanalysis_name="Decision_Tree"for the actual tree computation. - Use
generate_charton tree, feature importance, or validation result tables afterrun_analysissucceeds.
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
Signals
- GitHub stars
- 3k
- Forks
- 221
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
tree- Source
- github.com/zafer-liu/data-analysis-agent