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Article dans une revue
Empirical study of feature selection methods based on individual feature evaluation for classification problems
Abstract : The use of feature selection can improve accuracy, efficiency, applicability and understandability of a learning process and its resulting model. For this reason, many methods of automatic feature selection have been developed. By using a modularization of feature selection process, this paper evaluates a wide spectrum of these methods. The methods considered are created by combination of different selection criteria and individual feature evaluation modules. These methods are commonly used because of their low running time. After carrying out a thorough empirical study the most interesting methods are identified and some recommendations about which feature selection method should be used under different conditions are provided
https://hal-mines-paristech.archives-ouvertes.fr/hal-00614451
Contributeur : Magalie Prudon <>
Soumis le : jeudi 11 août 2011 - 14:30:57
Dernière modification le : jeudi 24 septembre 2020 - 17:22:03
Contributeur : Magalie Prudon <>
Soumis le : jeudi 11 août 2011 - 14:30:57
Dernière modification le : jeudi 24 septembre 2020 - 17:22:03