Mean reciprocal rank is a statistic for evaluating any process that produces a list of possible responses to a query, ordered by probability of correctness. The reciprocal rank of a query response is the multiplicative inverse of the rank of the first correct answer. The mean reciprocal rank is the average of the reciprocal ranks of results for a sample of queries Q: <math> \text{MRR} = \frac{1} \sum_{i=1}^{Q} \frac{1}{\text{rank}_i}. \!</math>

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dbpprop:abstract
  • Mean reciprocal rank is a statistic for evaluating any process that produces a list of possible responses to a query, ordered by probability of correctness. The reciprocal rank of a query response is the multiplicative inverse of the rank of the first correct answer. The mean reciprocal rank is the average of the reciprocal ranks of results for a sample of queries Q: <math> \text{MRR} = \frac{1} \sum_{i=1}^{Q} \frac{1}{\text{rank}_i}. \!</math>
  • Il Mean Reciprocal Rank (MRR), rank reciproco medio, è un indice statistico per valutare un processo che produce una lista di possibili risposte ad una interrogazione (query), ordinate per probabilità di correttezza.
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  • Mean reciprocal rank is a statistic for evaluating any process that produces a list of possible responses to a query, ordered by probability of correctness. The reciprocal rank of a query response is the multiplicative inverse of the rank of the first correct answer. The mean reciprocal rank is the average of the reciprocal ranks of results for a sample of queries Q: <math> \text{MRR} = \frac{1} \sum_{i=1}^{Q} \frac{1}{\text{rank}_i}. \!</math>
  • Il Mean Reciprocal Rank (MRR), rank reciproco medio, è un indice statistico per valutare un processo che produce una lista di possibili risposte ad una interrogazione (query), ordinate per probabilità di correttezza.
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  • Mean reciprocal rank
  • Mean reciprocal rank
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