Verified65% confidenceFactExact time
In scenarios with extreme class imbalance, even an accuracy as high as 95% may indicate that the model is completely unable to identify the minority class.
3
Sources
65%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Training Machine Learning Models from Scratch: A Complete Beginner's Guide
redditr/learnmachinelearning7/11/2026
Related Claims
UnverifiedTop academic deepfake detectors can see their accuracy plummet from 99% to below 60% when faced with previously unseen generative models, a phenomenon known as the cross-model generalization problem.77% similarUnverifiedWhen the 95% confidence intervals of two models overlap, the ranking difference between them may not be statistically meaningful.76% similarUnverifiedThe model showed the highest confidence (95%) on underdetermined problems (problems with no unique correct answer), exhibiting a reverse calibration phenomenon.76% similarUnverified校准的不确定性区间意味着：若模型声称 90% 置信区间为某范围，则在大量测试样本中约 90% 的真实值应落入该范围。76% similarUnverifiedClustered standard errors target the situation of non-independent samples and can handle correlation between samples, whereas treating each sample as an independent observation underestimates the variance.74% similar
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