Definition
The 11-point precision-recall curve is a graph plotting the interpolated precision of an information retrieval (IR) system at 11 standard recall levels, that is, {0.0, 0.1, 0.2, …, 1.0}. The method for interpolation is detailed below. The graph is widely used to evaluate IR systems that return ranked documents, which are common in modern search systems.
Key Points
In a precision-recall graph, precision is plotted as a function of recall. Assume a search system has retrieved n documents. Then for each kϵ [0, n], examine the set of top k retrieved documents and calculate the precision and recall for the set. These values are then plotted on a graph of precision versus recall. Figure 1 shows a typical precision-recall curve. It has a saw-toothed shape because the recall remains the same as k while the precision drops when the (k+1)th retrieved document is not relevant.
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Zhang, E., Zhang, Y. (2018). Eleven Point Precision-Recall Curve. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_481
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DOI: https://doi.org/10.1007/978-1-4614-8265-9_481
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