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precision and recall

Precision and Recall are metrics used to evaluate the performance of information retrieval systems, like search engines. - **Precision** measures the accuracy of the results, indicating the proportion of relevant documents among all the documents retrieved. High precision means most results are relevant. - **Recall** measures the completeness, showing the proportion of relevant documents that were actually retrieved. High recall means the system captured most of the relevant results. In summary, precision focuses on the correctness of the results, while recall emphasizes how many relevant results are found. Balancing both is key to effective information retrieval.

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  • Image for precision and recall

    Precision and recall are two important measures used to evaluate the performance of information retrieval systems, like search engines or categorization tasks. Precision refers to the accuracy of the results returned: of all the items identified as relevant, how many actually are. Recall, on the other hand, assesses completeness: of all the relevant items, how many were identified. In essence, precision focuses on how correct the selected results are, while recall looks at how many relevant results were missed. Balancing both is crucial for effectively retrieving helpful and comprehensive information.