A Python framework for the quantitative evaluation of eXplainable AI methods.
LEAF requires the following Python libraries to work:
numpy, pandas, lime, shap, imblearn, tabulate
The LEAF project directory contains the following files:
- leaf.py: the main code of LEAF, with the evaluation procedures for the LLE explaners LIME and SHAP
- LEAF_test.ipynb: a Jupyter notebook with a simple example of how to use LEAF to compute the basic metrics for XAI evaluation
- heartrisk-dataset.txt: the sample HeartRisk dataset provided by Shivakumar Doddamani, in csv format. See www.kaggle.com/shivakumarcd/heart-risk-problem for reference.