Unverified50% confidenceFactExact time
On purely random labels, the expected accuracy of any leak-free model is 50%, and being significantly above that baseline almost certainly indicates information leakage.
1
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50%
Confidence
Long-term
Relevance
11/6/2026
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Unverified一个随机猜测的模型在单次二元预测中有50%的概率押中79% similarUnverifiedAnswer balancing requires that the yes/no labels of each question type be roughly matched in distribution, so that the expected accuracy of random guessing stays around 50%.77% similarUnverifiedOn a dataset with 5,000 random features and random labels, if the top 20 features are first selected on the full data and then 5-fold cross-validation is performed, accuracy can reach 85% (87.7% averaged over 20 random seeds); after moving feature selection inside the Pipeline, accuracy falls back to 48% (50.0% average).76% similarUnverifiedUnder the condition of n=100 with an even split of positive and negative samples, the 95% confidence interval for 55% accuracy is roughly 45%–65%, which covers the 50% baseline, so the 5 percentage point gap may be random fluctuation.75% similarUnverifiedResearch shows that when the false positive rate exceeds 50%, the practical value of quality tools approaches zero.74% similar
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