Model-agnostic ensemble approach for supervised learning
The PRS method is described in the following paper:
Optimizing Model-Agnostic Random Subspace Ensembles
Huynh-Thu, V. A. and Geurts, P.
Machine Learning, 2023.
https://link.springer.com/article/10.1007/s10994-023-06427-5
https://arxiv.org/abs/2109.03099
The code folder contains our Python implementation of PRS (Parametric Random Subspace).
The datasets folder contains all the datasets used in the paper.