The Bayes error rate is a fundamental concept in statistical classification and machine learning that represents the lowest possible error rate that can be achieved when classifying instances from a given dataset. It serves as a benchmark for evaluating the performance of any classifier. In a classification problem, consider a set of classes or categories into which instances need to be classified.
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