1 code implementation • 15 Feb 2023 • Giulia Di Teodoro, Marta Monaci, Laura Palagi
First, given a target tree-ensemble model, we develop a hierarchical visualization tool based on a heatmap representation of the forest's feature use, considering the frequency of a feature and the level at which it is selected as an indicator of importance.
1 code implementation • 19 Oct 2022 • Federico D'Onofrio, Giorgio Grani, Marta Monaci, Laura Palagi
Thanks to their interpretability, decision trees have been intensively studied for classification tasks and, due to the remarkable advances in mixed integer programming (MIP), various approaches have been proposed to formulate the problem of training an Optimal Classification Tree (OCT) as a MIP model.
1 code implementation • 18 Oct 2021 • Marta Monaci, Valerio Agasucci, Giorgio Grani
The aim is to build up a greedy-like heuristic able to learn on some distribution of JSSP instances, different in the number of jobs and machines.