Description
ELI5 is a machine learning interpretability tool that helps developers understand and debug model predictions in an intuitive way. It provides explanations for feature importance, weights, and predictions of various ML models, supporting Scikit-learn, XGBoost, LightGBM, and CatBoost. ELI5 can generate text-based and visual explanations, making it easier to analyze complex models, including black-box classifiers. It also includes support for LIME (Local Interpretable Model-agnostic Explanations) and permutation importance methods. By offering transparent insights into model behavior, ELI5 helps in debugging, bias detection, and improving model reliability, making it an essential tool for AI explainability.
