Most data-mining algorithms struggle when dealing with rarity—yet rarity is a hallmark of fundamental business and research applications of data science.

Data scientists, therefore, must understand the challenges of rare cases and rare classes of data, and be prepared to address those challenges through appropriate data-sampling and other corrective techniques.

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