predict.apriori: Model predictions

In fdm2id: Data Mining and R Programming for Beginners

Model predictions

Description

This function predicts values based upon a model trained by apriori.classif. Observations that do not match any of the rules are labelled as "unmatched".

Usage

## S3 method for class 'apriori'
predict(object, test, unmatched = "Unknown", ...)

Arguments

object	The classification model (of class apriori, created by apriori.classif).
test	The test set (a data.frame)
unmatched	The class label given to the unmatched observations (a character string).
...	Other parameters.

Value

A vector of predicted values (factor).

See Also

APRIORI, apriori-class, apriori

Examples

require ("datasets")
data (iris)
d = discretizeDF (iris,
    default = list (method = "interval", breaks = 3, labels = c ("small", "medium", "large")))
model = APRIORI (d [, -5], d [, 5], supp = .1, conf = .9, prune = TRUE)
predict (model, d [, -5])

fdm2id documentation built on July 9, 2023, 6:05 p.m.