moDel Agnostic Language for Exploration and eXplanation
-
Updated
Oct 2, 2024 - Python
moDel Agnostic Language for Exploration and eXplanation
Documentation for the DALEX project
Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Proposing a new measure of XAI called eXirt.
Multi-class classification of drug resistance in MTB clinical isolates
Efficient and Accurate Explanation Estimation with Distribution Compression (ICML 2024 Workshops)
Robustness of Global Feature Effect Explanations (ECML PKDD 2024)
Elements of my term paper in Data Mining 2 at Faculty of Mathematics, University of Belgrade.
A data science summer project with James Bond movies data.
Building binary predictors on a heavily imbalanced dataset - exercise on policy cross-selling [kaggle]
This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Seeking to identify situations where XAI measures agreed or disagreed with each other.
Add a description, image, and links to the dalex topic page so that developers can more easily learn about it.
To associate your repository with the dalex topic, visit your repo's landing page and select "manage topics."