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

图:Hacker News

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

为什么在扩散

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