职业分类
数据科学家
描述
Run a TabPFN classification baseline, generate the first submission, rapidly probe features, then optimize with GBT ensembles, threshold tuning, and calibration. Use after tabpfn-explore has prepared the data and CV folds.
原文语言：英语
更新
dianaprior/kaggle-competition-agent-skill
SkillsMP 已收集 dianaprior/kaggle-competition-agent-skill 中的 4 个 Skill。打开任一 Skill 可查看来源和详情。
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这个仓库中的 skills
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已展示 4 / 4 个已收集 Skill。
skill
职业分类
描述
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职业分类
数据科学家
描述
Shared identity, behavior rules, workflow principles, and project conventions for TabPFN tabular competition skills. Referenced by tabpfn-classify, tabpfn-regress, and tabpfn-explore — not invoked directly.
原文语言：英语
更新
职业分类
数据科学家
描述
EDA, data profiling, adversarial validation, preprocessing checks, CV scheme setup, and API budget verification for tabular Kaggle competitions. Run at the start of every new competition before any modeling.
原文语言：英语
更新
职业分类
数据科学家
描述
Run a TabPFN regression baseline, generate the first submission, then optimize with GBT ensembles and regression-specific post-processing (clipping, target transforms, rank blending). Use after tabpfn-explore has prepared the data and CV folds.
原文语言：英语
更新
已展示 4 / 4 个已收集 Skill。