H2O Isolation Forest for Outlier Detection Explained by Shapley Values

This workflow explains how to train an Isolation Forest model in H2O which can then be used to detect outliers or anomalies. Shapley values are used afterwards to exaplin the anomalies/outliers.

This is a companion discussion topic for the original entry at https://kni.me/w/nPu68HZEu7Iy9N_4