{"slug":"leoyeai-automl-skill","source_name":"leoyeai/automl-skill","name":"Leoyeai/Automl Skill","description":"AutoML 自动化机器学习技能 | Automated Machine Learning Skill. 基于 PyCaret 进行低代码机器学习建模，支持分类、回归、聚类、异常检测、时间序列预测、自然语言处理和关联规则挖掘等任务。 未来将集成更多 AutoML 库（如 AutoGluon、FLAML 等）。 当用户需要快速构建机器学习模型、自动化模型选择、超参数调优、模型集成、特征工程或进行 AutoML 实验时使用此技能。 适用于数据科学家、公民数据科学家、机器学习工程师和希望快速原型开发的人员。 触发关键词：AutoML、机器学习自动化、PyCaret、分类模型、回归模型、聚类、异常检测、时间序列、文本分类、模型调优、模型比较、特征选择、统计检验、显著性检验、A/B测试。 Trigger keywords in English: AutoML, automated machine learning, PyCaret, classification, regression, clustering, anomaly detection, time series forecasting","version":1,"lift":{"pass_rate_delta_pts":8.7,"pass_rate_pct":91.3,"total_cases":23,"passed_cases":21,"tokens_delta_pct":234.9,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-06T22:05:27.448155+00:00"},"skill_score":0.913,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":8.7,"with_pass_pct":91.3,"without_pass_pct":82.6,"tokens_delta_pct":234.9,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-06T22:05:27.448155+00:00","run_id":"3e16bd99-7d87-4e83-856e-f8d4d7cc8c2c","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"b4efc0b04211227eb3c91a63b3d90d781d1f71fabd3ea8269b3389a79160dc2c","raw_url":"https://app.decimal.ai/s/leoyeai-automl-skill/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/leoyeai-automl-skill"}