reliefcont

data

 The size of the sample drawn and use to update the relevance of the features

nosample

 The threshold for choosing the relevant features.

threshold

The number of repetitions. It is recommended to use at most 10 repetitions. When nosample=number of instances use repet=1.

repet


This function applies Relief to datasets containing only continuous attributes.


Feature Selection

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

reliefcont: Feature selection by the Relief Algorithm for datasets with only continuous features

Description

Usage

Arguments

See Also