Precision = Relevant retrieved instances / All retrieved instances
Precision and recall
Precision = Relevant retrieved instances / All retrieved instances
Precision measures the accuracy of positive predictions. It is calculated by dividing the number of relevant instances retrieved by the total number of instances retrieved. This metric helps to understand the proportion of positive identifications that were actually correct.
Example
If a search engine retrieves 100 documents and 80 of them are relevant, the precision would be 80/100 = 0.8 or 80%.
Remember this
Precision is crucial for evaluating the performance of classification models and information retrieval systems, ensuring that the predictions made are reliable and trustworthy.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
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