classification: A classification function

In rCBA: CBA Classifier

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)

Example output

Loading required package: rJava
Loading required package: arules
Loading required package: Matrix

Attaching package: ‘arules’

The following objects are masked from ‘package:base’:

    abbreviate, write

OpenJDK 64-Bit Server VM warning: Can't detect primordial thread stack location - find_vma failed
Warning message:
Column(s) 1, 2, 3, 4, 5 not logical or factor. Applying default discretization (see '? discretizeDF'). 
Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen
       0.03    0.1    1 none FALSE            TRUE       5    0.03      2
 maxlen target  ext
     10  rules TRUE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 4 

set item appearances ...[3 item(s)] done [0.00s].
set transactions ...[126 item(s), 150 transaction(s)] done [0.00s].
sorting and recoding items ... [54 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 done [0.00s].
writing ... [52 rule(s)] done [0.00s].
creating S4 object  ... done [0.00s].
2020-12-22 04:33:09 rCBA: initialized
2020-12-22 04:33:09 rCBA: data 150x5
	 took: 0.1  s
2020-12-22 04:33:09 rCBA: rules 52
	 took: 0.05  s
2020-12-22 04:33:09 rCBA: classification completed
	 took: 0.1  s
predictions
    setosa versicolor  virginica 
        51         48         49 
[1] 0.9466667

rCBA documentation built on May 30, 2019, 1:01 a.m.