Modern classification workflows often require classifying individual records and data points into multiple categories instead of just assigning a single label. Open-source Python libraries like scikit-learn make it easier to build models for these multi-label problems. Several models have built-in support for multi-label datasets, and a simple scikit-learn utility function enables using those��
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