Explaining Models built in H2O-3

Overview

In this webinar, an H2O.ai principal data scientist walks through model explainability in H2O-3, the company's open-source distributed machine learning platform. After covering the core ideas behind responsible AI, she trains a baseline GBM model on the Lending Club loan dataset and uses the h2o.explain interface to generate global and local explanations, including SHAP summary plots, partial dependence plots, and individual conditional expectation (ICE) plots. It's a practical, code-along session using a shared Colab notebook for understanding why a model makes the predictions it makes.