The app is designed to provide an automated workflow for training machine learning models to identify frequently occurring types of tickets. Within the app there is a pipeline on top of the Machine Learning Toolkit that allows users to follow some simple click-and-select steps to load their ticket data and select some important features in the data. The app then decides how it should be processed by an ML algorithm – including automatically deciding how the data should be pre-processed in preparation for an algorithm. Ultimately the app provides non-expert users identify frequently occurring types of tickets.