Predicting Hotel Cancellations Using InterpretML

Interpretability is an underlooked, yet necessary facet of machine learning.

In order to deploy models into production and make research findings understandable to a non-technical audience, intelligibility or understanding of model findings are just as important as accuracy.

The purpose of the InterpretML package developed by Microsoft is to allow for increased intelligibility of black box machine learning models, while maintaining strong accuracy performance.