Toolboxes & Code Repositories

PowerShap

Library for feature selection 

software
Description:

powershap is a feature selection method that uses statistical hypothesis testing and power calculations on Shapley values, enabling fast and intuitive wrapper-based feature selection. powershap is built to be intuitive, it supports various models including linear, tree-based, and even deep learning models for classification and regression tasks.

More Information:

  • Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).

  • Responsible Research Lead: Sofie Van Hoecke, 

  • Authors: Jarne Verhaeghe, Jeroen Van Der Donckt, Femke Ongenae, Sofie Van Hoecke

  • Programming Language: Python

  • Link to the repository

  • Categories: Supervised learning

Publications:

  • Verhaeghe, J., Van Der Donckt, J., Ongenae, F., Van Hoecke, S. (2023). Powershap: A Power-Full Shapley Feature Selection Method. In: Amini, MR., Canu, S., Fischer, A., Guns, T., Kralj Novak, P., Tsoumakas, G. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Lecture Notes in Computer Science(), vol 13713. Springer, Cham. https://doi.org/10.1007/978-3-031-26387-3_5