classFrequency {arulesCBA} | R Documentation |
Check transactions for class imbalance or the proportion of rules for each class label in a set of CARs.
classFrequency(formula, x, type = "relative")
formula |
A symbolic description of the model to be fitted. |
x |
An object of class |
type |
|
Returns the item frequency for each class label as a vector.
Michael Hahsler
itemFrequency
,
rules
,
transactions
.
data("iris") iris.disc <- discretizeDF.supervised(Species ~ ., iris) iris.trans <- as(iris.disc, "transactions") # Class distribution. The iris dataset is perfectly balanced. classFrequency(Species ~ ., iris.trans) # Number of rules for each class cars <- mineCARs(Species ~ ., iris.trans, parameter = list(support = 0.3)) classFrequency(Species ~ ., cars, type = "absolute")