MLWA Enhancing the Pattern Recognition Capacity of Machine Learning Techniques: The Importance of Feature Positioning [Source Code]

  1. Francisco Javier Santos Arteaga 1
  2. Debora Di Caprio 2
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 University of Trento
    info

    University of Trento

    Trento, Italia

    ROR https://ror.org/05trd4x28

Revista:
Machine Learning with Applications

Año de publicación: 2021

Tipo: Artículo

DOI: 10.24433/CO.0135598.V1 GOOGLE SCHOLAR

Resumen

The code corresponds to the three evaluation processes described in Figures 5 to 7 within Section 2.1 of the paper "Enhancing the Pattern Recognition Capacity of Machine Learning Techniques: The Importance of Feature Positioning" accepted for publication in Machine Learning with Applications. Each evaluation process, defined as Ordered, Grouped and Complete, has been simulated within three scenarios of increasing complexity. These scenarios correspond to information retrieval processes aiming to evaluate two, six and ten satisfying alternatives among those composing the initial page of results delivered by a search engine.