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metadata
title: Mean Reciprocal Rank
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 3.0.2
app_file: app.py
pinned: false
tags:
  - evaluate
  - metric
description: >-
  Mean Reciprocal Rank is a statistic measure for evaluating any process that
  produces a list of possible responses to a sample of queries, ordered by
  probability of correctness.

Metric Card for Mean Reciprocal Rank

a statistic measure for evaluating any process that produces a list of possible responses to a sample of queries, ordered by probability of correctness.

Metric Description

The reciprocal rank of a query response is the multiplicative inverse of the rank of the first correct answer: 1 for first place, 1⁄2 for second place, 1⁄3 for third place and so on. The mean reciprocal rank is the average of the reciprocal ranks of results for a sample of queries Q

{\text{MRR}}={\frac {1}{|Q|}}\sum {{i=1}}^{{|Q|}}{\frac {1}{{\text{rank}}{i}}}.!

How to Use

Provide a list of gold ranks, where each item is rank of gold item of which the first rank starts with zero.

Inputs

List all input arguments in the format below

  • input_field *(List[int]): a list of integer where each integer is the rank of gold item

Output Values

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State the range of possible values that the metric's output can take, as well as what in that range is considered good. For example: "This metric can take on any value between 0 and 100, inclusive. Higher scores are better."

Values from Popular Papers

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Examples

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Limitations and Bias

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Citation

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Further References

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