Weka_attribute_evaluators {RWeka}

R/Weka Attribute Evaluators

Description

R interfaces to Weka attribute evaluators.

Usage

GainRatioAttributeEval(formula, data, subset, na.action, control = NULL)
InfoGainAttributeEval(formula, data, subset, na.action, control = NULL)

Arguments

formula

a symbolic description of a model. Note that for unsupervised filters the response can be omitted.

data

an optional data frame containing the variables in the model.

subset

an optional vector specifying a subset of observations to be used in the fitting process.

na.action

a function which indicates what should happen when the data contain NAs. See model.frame for details.

control

an object of class Weka_control, or a character vector of control options, or NULL (default). Available options can be obtained on-line using the Weka Option Wizard WOW, or the Weka documentation.

Details

GainRatioAttributeEval evaluates the worth of an attribute by measuring the gain ratio with respect to the class.

InfoGainAttributeEval evaluates the worth of an attribute by measuring the information gain with respect to the class.

Currently, only interfaces to classes which evaluate single attributes (as opposed to subsets, technically, which implement the Weka AttributeEvaluator interface) are possible.

Value

A numeric vector with the figures of merit for the attributes specified by the right hand side of formula.

Examples

InfoGainAttributeEval(Species ~ . , data = iris)