Partially Verified75% confidenceFactExact time
Cohen's κ is a statistic measuring the agreement between two raters classifying the same set of samples, calculated with the probability of chance agreement subtracted out.
3
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75%
Confidence
Long-term
Relevance
10/18/2026
First Seen
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Related Claims
UnverifiedOn data with extremely imbalanced classes, accuracy rewards a judge for agreeing on the easy majority class, whereas Cohen's kappa corrects for the possibility of chance agreement, so kappa should be used rather than accuracy.78% similarUnverifiedThe two levels of stochasticity in doubly stochastic optimization are mini-batch random sampling over the data and Monte Carlo estimation of the variational expectation.75% similarUnverifiedMcNemar 检验统计量为 χ² = (|b - c| - 1)² / (b + c),当样本量足够时近似服从自由度为1的卡方分布,其中-1为Yates连续性校正项73% similarUnverifiedThe formula for Cohen's kappa is κ = (p_o - p_e) / (1 - p_e), where p_o is the observed agreement rate and p_e is the expected agreement rate when two raters label randomly according to their respective label frequencies.73% similarUnverifiedThe statistical premise of drift detection is that the two sets of observations being compared must be comparable samples from the same distribution; directly comparing raw counts across versions produces false positives.73% similar
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