classification {rCBA}

A classification function

Description

A classification function

Usage

classification(test, rules, verbose = TRUE)

Arguments

test

data.frame or transactions from arules with input data

rules

data.frame with rules

verbose

verbose indicator

Value

vector with classifications

Examples

library("arules")
library("rCBA")
data("iris")

train <- sapply(iris, as.factor)
train <- data.frame(train, check.names=FALSE)
txns <- as(train,"transactions")

rules = apriori(txns, parameter=list(support=0.03, confidence=0.03, minlen=2),
appearance = list(rhs=c("Species=setosa", "Species=versicolor", "Species=virginica"),default="lhs"))

predictions <- rCBA::classification(train,rules)
table(predictions)
sum(as.character(train$Species)==as.character(predictions),na.rm=TRUE)/length(predictions)