Search Results for author: Guillermo Navas-Palencia

Found 2 papers, 2 papers with code

Optimal Counterfactual Explanations for Scorecard modelling

1 code implementation17 Apr 2021 Guillermo Navas-Palencia

Counterfactual explanations is one of the post-hoc methods used to provide explainability to machine learning models that have been attracting attention in recent years.

BIG-bench Machine Learning counterfactual

Optimal binning: mathematical programming formulation

1 code implementation22 Jan 2020 Guillermo Navas-Palencia

The optimal binning is the optimal discretization of a variable into bins given a discrete or continuous numeric target.

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.