The final project of the course Explainable AI at MADE Big Data Academy

Comments and conclusion in Russian.

Tasks:

1. Train one model.

2. Analyze examples with LIME and SHAP

3. Apply one method each from the following groups: gradients, signals, attribution methods

4. Find counterfactual examples for all 8 examples

Dataset

To view the results and code follow the link.