A. Japón Sáez, J. Puerto Albandoz, V. Blanco

In this work we present a novel mathematical optimization-based methodology to construct multiclass optimal classification trees with SVM-based splits. In our approach, the labels of the training observations are temporarily left out in the branch nodes and observations are grouped into two classes which are separated by means of a hyperplane. We provide a Mixed Integer Non Linear Programming formulation for the problem and report the results of an extensive battery of computational experiments.

Keywords: SVM, Optimal Classification Trees

Scheduled

GT01 Localización V. Applications
June 7, 2022  4:50 PM
A15


Other papers in the same session

Mathematical programming approaches to community detection problems

F. Temprano Garcia, J. Puerto Albandoz, A. M. Rodríguez-Chía, S. Benati

Mathematical Programming techniques for Scanning Transmission Electron Microscopy Image Segmentations

J. Calvino, M. López Haro, J. M. Muñoz Ocaña, J. Puerto, A. M. Rodríguez Chía

Optimal routing of pipelines in Naval Designs

V. Blanco, G. González, Y. Hinojosa, M. A. Pozo, J. Puerto Albandoz, D. Ponce


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