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| Python API | Description |
+============================================================+===============================================================================+
| `metriks.ndcg(y_true, y_prob, k)` | A score for measuring the quality of a set of ranked results. |
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| `metriks.confusion_matrix_at_k(y_true, y_prob, k)` | Generates binary predictions from probabilities by evaluating the top k |
| | items (in ranked order by y_prob) as true. |
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Create a usage example on how these ranking metrics can be used: