Unverified50% confidenceFactExact time
Rule ordering has a substantial impact on the final classification performance, and a reasonable order design can bring about a 2-3 percentage point improvement.
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Long-term
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10/27/2026
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UnverifiedFor recall-prioritizing scenarios, disagreement-guided steering is more suitable; for scenarios with high ranking-precision requirements, mean removal may be the safer choice.74% similarUnverifiedWhen holdout samples are used for score estimation, the ordering scores are inflated in expectation, and this inflation occurs for candidate nodes that should not yet be selected, so the direction of the bias is favorable for correct ordering.74% similarUnverifiedScoring outputs are more sensitive to numerical perturbations, and low-precision quantization easily causes shifts in score ranking, while ranking accuracy is the core metric for filtering and candidate ranking tasks.69% similarUnverifiedThe potential benefits of decoupling judgment from execution include reducing main model token consumption, lowering average response latency, and making decision logic easier to audit and debug.68% similarUnverified决策树的分裂准则(信息增益、基尼不纯度、均方误差)本质上是排序统计量的函数,只关心阈值两侧的类别比例而非样本间距离68% similar
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