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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

featsel: A framework for benchmarking of feature selection algorithms and cost functions

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Author(s):
Reis, Marcelo S. [1, 2] ; Estrela, Gustavo [3, 2] ; Ferreira, Carlos Eduardo [3] ; Barrera, Junior [3, 2]
Total Authors: 4
Affiliation:
[1] Inst Butantan, Lab Especial Ciclo Celular, Sao Paulo, SP - Brazil
[2] Inst Butantan, Ctr Toxins Immune Response & Cell Signaling CeT, Sao Paulo, SP - Brazil
[3] Univ Sao Paulo, Inst Matemat & Estat, Sao Paulo - Brazil
Total Affiliations: 3
Document type: Journal article
Source: SOFTWAREX; v. 6, p. 193-197, 2017.
Web of Science Citations: 1
Abstract

In this paper, we introduce featsel, a framework for benchmarking of feature selection algorithms and cost functions. This framework allows the user to deal with the search space as a Boolean lattice and has its core coded in C++ for computational efficiency purposes. Moreover, featsel includes Perl scripts to add new algorithms and/or cost functions, generate random instances, plot graphs and organize results into tables. Besides, this framework already comes with dozens of algorithms and cost functions for benchmarking experiments. We also provide illustrative examples, in which featsel outperforms the popular Weka workbench in feature selection procedures on data sets from the UCI Machine Learning Repository. (C) 2017 The Authors. Published by Elsevier B.V. (AU)

FAPESP's process: 13/03447-6 - Combinatorial structures, optimization, and algorithms in theoretical Computer Science
Grantee:Carlos Eduardo Ferreira
Support type: Research Projects - Thematic Grants
FAPESP's process: 13/07467-1 - CeTICS - Center of Toxins, Immune-Response and Cell Signaling
Grantee:Hugo Aguirre Armelin
Support type: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 16/25959-7 - Design of poset forest-based algorithms for the U-curve optimization problem
Grantee:Gustavo Estrela de Matos
Support type: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 15/01587-0 - Storage, modeling and analysis of dynamical systems for e-Science applications
Grantee:João Eduardo Ferreira
Support type: Research Grants - eScience and Data Science Program - Thematic Grants