H2O Isolation Forest for Outlier Detection

This workflow explains how to train an Isolation Forest model in H2O which can then be used to detect outliers or anomalies. In the example of this worklfow frauds in credit card data are detected.

This is a companion discussion topic for the original entry at https://kni.me/w/KPl1a1N0wttJFCJm