TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14

发生了什么
The claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting.
摘要按规则整理自下方来源原文

The claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting.
摘要按规则整理自下方来源原文