[HTML][HTML] Impact of feature selection methods on the predictive performance of software defect prediction models: an extensive empirical study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - Symmetry, 2020 - mdpi.com
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

[PDF][PDF] Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - academia.edu
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study.

AO Balogun, S Basri, S Mahamad… - Symmetry …, 2020 - search.ebscohost.com
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - …, 2020 - search.proquest.com
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

[PDF][PDF] Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - pdfs.semanticscholar.org
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - …, 2020 - ui.adsabs.harvard.edu
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

[引用][C] Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

A Balogun, S Basri, S Mahamad, S Abdulkadir… - Symmetry …, 2020 - mostwiedzy.pl
Impact of Feature Selection Methods on the Predictive Performance of Software Defect
Prediction Models: An Extensive Empirical Study - Publikacja - MOST Wiedzy Przejdź do …

[PDF][PDF] Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - researchgate.net
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

Impact of feature selection methods on the predictive performance of software defect prediction models: An extensive empirical study

AO Balogun, S Basri, S Mahamad… - …, 2020 - mdanderson.elsevierpure.com
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

[PDF][PDF] Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - academia.edu
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …