Description Usage Arguments Details Examples
Generates a new SDEFSR_Rules
object containing the rules that passed the filter
specified
1 2 | ## S3 method for class 'SDEFSR_Rules'
SDEFSR_RulesObject[condition = T]
|
SDEFSR_RulesObject |
The |
condition |
Expression to filter the |
This functions allows to filter the rule set by a given quality measure. The quality measures
that are available are: nVars, Coverage, Unusualness, Significance, FuzzySupport,
Support, FuzzyConfidence, Confidence, TPr and FPr
1 2 3 4 5 6 7 | library(SDEFSR)
#Apply filter by unusualness
habermanRules[Unusualness > 0.05]
#Also, you can make the filter as complex as you can
#Filter by Unusualness and TPr
habermanRules[Unusualness > 0.05 & TPr > 0.9]
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