supp_conf: Calculate support and confidence for an association rule.
In niarules: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
supp_conf R Documentation
Calculate support and confidence for an association rule.
Description
This function calculates the support and confidence for the given antecedent
and consequent in the dataset instances.
Usage
supp_conf(antecedent, consequent, instances, features)
Arguments
antecedent
The antecedent part of the association rule.
consequent
The consequent part of the association rule.
instances
A data frame representing instances in the dataset.
features
A list containing information about features, including type and bounds.
Value
A list containing support and confidence values.
niarules documentation built on Sept. 15, 2025, 5:08 p.m.
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| supp_conf | R Documentation |
Calculate support and confidence for an association rule.
Description
This function calculates the support and confidence for the given antecedent and consequent in the dataset instances.
Usage
supp_conf(antecedent, consequent, instances, features)
Arguments
antecedent |
The antecedent part of the association rule. |
consequent |
The consequent part of the association rule. |
instances |
A data frame representing instances in the dataset. |
features |
A list containing information about features, including type and bounds. |
Value
A list containing support and confidence values.
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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