sn_nlu_workbench.glide.nlu.performance.min_clustering_records

AI generated property description:

The ServiceNow property `sn_nlu_workbench.glide.nlu.performance.min_clustering_records` specifies the minimum number of records required for conducting NLU performance analysis. This property ensures that there is a sufficient amount of data to generate meaningful insights and accurate performance metrics. By setting a threshold, it helps in avoiding performance evaluations on datasets that are too small to provide reliable results. This property is particularly useful in scenarios where clustering techniques are applied to analyze the performance of Natural Language Understanding (NLU) models. Adjusting this property can help in fine-tuning the balance between computational efficiency and the robustness of performance analysis.

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