Unverified50% confidenceFactExact time
The Mondrian variant calibrates samples separately by category or stratum, so that coverage guarantees hold independently within each subgroup.
1
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50%
Confidence
Long-term
Relevance
10/5/2026
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UnverifiedStratified evaluation divides the evaluation dataset into multiple slices and sets independent pass thresholds for each slice, making it possible to capture significant degradation in subgroups.65% similarUnverifiedStratified sampling draws samples according to the proportion of each class in the population, ensuring that the class distribution of the subset is consistent with the original dataset65% similarUnverifiedThe solution adopts a design of phased splitting with automatic review at each phase, in order to maintain fidelity to the original requirements and cover both normal flows and boundary exceptions.59% similarUnverified等价类划分将输入数据按有效/无效归类，从每个等价类中各取一个代表性数据进行测试，以在有限用例数量下最大化覆盖率57% similarUnverifiedWhen evaluating model capabilities, attention should be paid to specific evaluation methods and datasets, with vigilance against the one-sidedness of single metrics and emphasis on independent third-party verification.57% similar
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