GitHub - QuantLet/2024-XAI-Intro: This is the repository for the talk Introduction to XAI, Summer School “Data Science for Sustainable Finance and Economics”, HTW Berlin, September 9-13, 2024

Name of QuantLet: 2024-XAI-Intro

Published in: HTW Summer School 2024

Description: Provides an introduction to XAI for Credit Risk Modelling.

Keywords: XAI, SHAP, LIME, credit risk modelling, Shapley values, feature importance, partial dependence plot

Author: Daniel Traian Pele

Submitted: 20/08/2024, by Daniel Traian Pele

Datafile: hmeq.csv

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
1. Credit Risk Modeling.ipynb		1. Credit Risk Modeling.ipynb
2. Global Explanation Methods.ipynb		2. Global Explanation Methods.ipynb
3. LIME_SHAP_Counterfactual.ipynb		3. LIME_SHAP_Counterfactual.ipynb
Counterfactual.png		Counterfactual.png
Metainfo.txt		Metainfo.txt
README.md		README.md
beeswarm.png		beeswarm.png
feature_importance.png		feature_importance.png
hmeq.csv		hmeq.csv
knn.png		knn.png
lime_explanation.png		lime_explanation.png
partial_dependence.png		partial_dependence.png
reg_XGB.png		reg_XGB.png
shap_bars.png		shap_bars.png
shap_force_plot.html		shap_force_plot.html
shap_waterfall.png		shap_waterfall.png
surrogate_model.png		surrogate_model.png

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Repository files navigation

About

Releases

Packages

Languages

QuantLet/2024-XAI-Intro

Folders and files

Latest commit

History

Repository files navigation

About

Resources

Stars

Watchers

Forks

Releases

Packages 0

Languages

Packages