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Mean reciprocal rank

Technique

No article has been written for this page yet; it is generated from the knowledge graph.
  • Search evaluation (ask.chaipat.cc)
    The measures are the share of cases with the right outcome, mean reciprocal rank of the expected entity among the answered cases, the time to plan a question, and the confidence gate: how many questions could ever reach a model.

As data

Everything on this page is read from triples in the knowledge graph. These are the 3 it states about Mean reciprocal rank, and 1 more its ontology implies; the console runs SPARQL over the whole graph, here in your browser.

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@prefix id: <https://ask.chaipat.cc/id/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix cj: <https://ask.chaipat.cc/ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

id:MeanReciprocalRank
    a cj:Technique ;
    rdfs:label "Mean reciprocal rank" ;
    skos:altLabel "mean reciprocal rank" .
Works 1
Search evaluation