Unverified50% confidenceFactExact time
The 98% score from a single classification is the confidence level for that message's corresponding category, and does not represent an overall model accuracy of 98%.
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50%
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9/24/2026
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Unverified当所有模型在某评测上都能拿90分时该评测就应退场，即基准饱和现象74% similarUnverifiedA confidence score given by a model (e.g., 90%) should not be interpreted as 'the model is correct 90% of the time'; accuracy must be empirically measured using your own samples.73% similarUnverifiedIn a fraud detection task with a positive-to-negative sample ratio of 1:99, a model that predicts all samples as 'non-fraud' can still achieve 99% accuracy.72% similarVerifiedWhen samples are severely imbalanced, Accuracy becomes misleading—a model that predicts everyone as healthy can still achieve an accuracy of over 99%.72% similarUnverified即便单字符识别准确率达到99%，对于一个包含10个字符的字段，其整体正确率也仅约90%，这被称为"准确率衰减效应"72% similar
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