Project details for A framework for benchmarking of feature selection algorithms and cost functions

Screenshot A framework for benchmarking of feature selection algorithms and cost functions v1.3

by msreis - August 4, 2017, 00:19:28 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

featsel is a framework especially designed for benchmarking of feature selection algorithms and cost functions. Through a clean object-oriented structure and coded in C++, this framework allows the user to easily include new algorithms and/or cost functions and to carry out fast computational experiments.

Moreover, featsel allows the user to take advantage of the fact that the search space of a feature selection procedure can be organized into a Boolean lattice; to this end, several methods are included in this framework especially for Boolean manipulation of feature subsets.

featsel is also accompained by several scripts to assist the user in the inclusion and removal of algorithms and cost functions, to carry out benchmarking experiments and to create tables and graphs with the obtained results.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Posix, Mac Os X
Data Formats: Arff, Xml, Dat
Tags: Feature Selection, Combinatorial Optimization, Benchmarking, Boolean Lattice
Archive: download here

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