Recall is the ability to retrieve information or memories from memory storage when needed. In the context of machine learning for mathematical modeling, recall specifically refers to the effectiveness of a model in identifying relevant instances from a dataset, particularly focusing on the proportion of actual positive cases that are correctly identified.
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