ELI5
ELI5, or Explain Like I'm Five, is a Python XAI library for debugging, inspecting, and explaining ML classifiers. It was one of the initial XAI frameworks developed to explain black-box models in the most simplified format. It supports a wide range of ML modeling frameworks such as scikit-learn compatible models, Keras, and more. It also has integrated LIME explainers and can work with tabular datasets along with unstructured data such as text and images. The library documentation is provided at https://eli5.readthedocs.io/en/latest/, and the GitHub project is available at https://github.com/eli5-org/eli5.
In this section, we will cover the application part of ELI5 for a tabular dataset only, but please feel free to explore other examples that have been provided in the tutorial examples of ELI5 at https://eli5.readthedocs.io/en/latest/tutorials/index.html. Next, let's get started with the walk-through of the code tutorial.
Setting up ELI5
The complete tutorial...