Metrics and Analysis#
Base Interfaces#
Base class for LensKit metrics. |
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Base class for metrics that measure individual recommendation (or prediction) lists, and whose results may be aggregated to compute overall metrics. |
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Base class for metrics that measure entire runs at a time. |
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Interface for per-list metrics implemented as simple functions. |
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Base class for most ranking metrics, implementing a |
Bulk Analysis#
Compute metrics over a collection of item lists composing a run. |
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Results of a bulk metric computation. |
Top-N Accuracy#
Compute the normalized discounted cumulative gain [JarvelinKekalainen02]. |
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Evaluate recommendations with rank-biased precision [MZ08] with a patience parameter \(\gamma\). |
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Compute recommendation precision. |
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Compute recommendation recall. |
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Compute the reciprocal rank [KV97] of the first relevant item in a list of recommendations. |