Explain Like I’m Five (ELI5)
This Python library enables us to visualize and debug ML models. It displays functionality for both local and global interpretations. XGBoost, LightGBM, scikit-learn, Lightning, and CatBoost are some of the libraries supported by ELI5. The goal of ELI5 is to make the explanations accessible to a general audience, including those who may not have a background in AI or ML.
Here is an example of how ELI5 could be used to provide an explanation for the predictions made by an AI model.
Imagine that an AI model has been trained to predict the likelihood of a patient developing a particular disease based on various medical characteristics, such as age, gender, and medical history. The model predicts that a particular patient has a high likelihood of developing the disease. To provide an ELI5 explanation for this prediction, the model could provide a simple and easy-to-understand explanation such as Based on your age, gender, and medical history, our...