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Per-Class Precision and Recall for a Classifier

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A phone-screen ML coding exercise: you receive a small project with partially written tooling for judging a classifier and must finish it so the printed report matches a sample. It tests how comfortably you move between raw predictions and standard quality metrics, and how you handle edge cases.