Unverified50% confidenceTradeoffExact time
In proportion estimation, when the team cares about the Bayesian posterior, a Beta distribution can also be used to give similar conclusions, but the Wilson interval requires no choice of prior and is better suited to rapid probing.
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10/17/2026
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Unverified在机器学习多种子实验中重复次数通常只有5到10次,样本量极小,正态性假设难以验证,因此 Wilcoxon 检验往往是更保守稳健的选择71% similarUnverifiedConformal prediction provides finite-sample validity guarantees without making parametric assumptions about the data distribution, meaning that prediction intervals cover the true value at a frequency of at least 1-α at confidence level α.71% similarUnverifiedThe comparative experiment did not disclose specific dataset sizes, evaluation metrics, or details of comparison fairness, all of which affect the generalizability of its conclusions.70% similarUnverifiedThe expected value of a proper scoring rule is maximized only when the probability stated by the model is consistent with the true likelihood.70% similarVerifiedThe 95% Wilson confidence interval is more accurate than the normal approximation (Wald interval) when sample sizes are small or when proportions are close to 0 or 1.69% similar
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