predict.selection: Model predictions

In fdm2id: Data Mining and R Programming for Beginners

Model predictions

Description

This function predicts values based upon a model trained by any classification or regression model.

Usage

## S3 method for class 'selection'
predict(object, test, fuzzy = FALSE, ...)

Arguments

object	The classification model (of class cda-class, created by CDA).
test	The test set (a data.frame).
fuzzy	A boolean indicating whether fuzzy classification is used or not.
...	Other parameters.

Value

A vector of predicted values (factor).

See Also

FEATURESELECTION, selection-class

Examples

## Not run: 
require (datasets)
data (iris)
d = splitdata (iris, 5)
model = FEATURESELECTION (d$train.x, d$train.y, uninb = 2, mainmethod = LDA)
predict (model, d$test.x)

## End(Not run)

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