R: The summary function of rules based on RST

summary.RuleSetRST {RoughSets} | R Documentation

## The summary function of rules based on RST

### Description

This function enables the output of a summary of the rule induction methods.

### Usage

    ## S3 method for class 'RuleSetRST'
    summary(object, ...)

### Arguments

`object` | a `"RuleSetRST"` object. See `RI.indiscernibilityBasedRules.RST`.
`...` | the other parameters.

### Value

a description that contains the following information:

- The type of the considered model.

- The type of the considered method.

- The type of the considered task.

- The rules. Every rule constitutes two parts which are IF and THEN parts. For example, `"IF pres is around 90 and preg is around 8 THEN class is 2; (support=4;laplace=0.67)"`.

### Author(s)

Lala Septem Riza and Andrzej Janusz

### Examples

    ###########################################################
    ## Example : Classification problem
    ###########################################################
    data(RoughSetData)
    decision.table <- RoughSetData$hiring.dt

    ## determine feature subset/reduct
    reduct <- FS.permutation.heuristic.reduct.RST(decision.table,  permutation = NULL)

    rules <- RI.indiscernibilityBasedRules.RST(decision.table, reduct)

    summary(rules)

[Package RoughSets version 1.3-7 Index]