rbprecision: Rank-Biased Precision. boundaries parameter means the cutoff...
In ozcan39/irevaluationr: Information Retrieval (IR) Effectiveness Evaluation Library for R
Description
Usage
Arguments
Value
View source: R/effectiveness.R
Description
Rank-Biased Precision.
boundaries parameter means the cutoff points according to the total results.
p –persistence (or probability) levels– parameter is used in the calculation of RBP.
Usage
1
2
rbprecision(interactions, p = list(0.5, 0.8, 0.95),
boundaries = list("all"))
Arguments
interactions
A list.
p
A list.
boundaries
A list.
Value
The results of RBP calculation based on the boundaries parameter.
ozcan39/irevaluationr documentation built on April 23, 2020, 9:43 p.m.
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Description Usage Arguments Value
View source: R/effectiveness.R
Description
Rank-Biased Precision. boundaries parameter means the cutoff points according to the total results. p –persistence (or probability) levels– parameter is used in the calculation of RBP.
Usage
1 2 | rbprecision(interactions, p = list(0.5, 0.8, 0.95),
boundaries = list("all"))
|
Arguments
interactions |
A list. |
p |
A list. |
boundaries |
A list. |
Value
The results of RBP calculation based on the boundaries parameter.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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