MLWA Enhancing the Pattern Recognition Capacity of Machine Learning Techniques: The Importance of Feature Positioning [Source Code]
- Francisco Javier Santos Arteaga 1
- Debora Di Caprio 2
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1
Universidad Complutense de Madrid
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2
University of Trento
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Año de publicación: 2021
Tipo: Artículo
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.