Add example with quantitive evaluation of XAI algorithms

[adamwawrzynski]

Description

This PR introduces a notebook with an example of quantitative evaluation of XAI algorithms. This way we could create a utility to automatically select the best explainable algorithm for a given model and dataset.

Estimate: 3 MD.

How Has This Been Tested?

Please describe the tests that you ran to verify your changes.

• [x] run notebook

Checklist:

• [ ] I have updated all related pyproject.toml files.
• [ ] I have updated lock files.
• [x] I have set an Assignee and Reviewers.
• [x] I have labeled the PR correctly.
• [ ] I have performed a self-review of my own code.
• [ ] I have covered my code and changes with unit tests.
• [ ] I have annotated types as extensively as possible.
• [x] I have commented my code, particularly in hard-to-understand areas.
• [ ] I have made corresponding changes to the documentation.
• [x] My changes generate no new warnings.
• [x] All code references and dependencies will work.