The book every data scientist needs on their desk.
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Updated
Dec 13, 2024 - Jupyter Notebook
The book every data scientist needs on their desk.
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
A Framework for validating two ranked lists using ndcg, kendall's tau, rbo, recall, mrr
A repository to understand ranking metrics as described by Musgrave et al. (2020). Plus some other metrics utilising confidence values.
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