The rate at which predictive-coding software incorrectly categorized documents. It can be misleading, making recall and precision the preferred metrics. Imagine a document production from a population of 1 million documents, of which 1% or 10,000 are relevant, and predictive-coding software identifies all documents as nonresponsive. The error rate would be an impressive-sounding 1% despite the software missing all 10,000 relevant documents.