Abstract: There’s lots of work in the field of machine learning on researching algorithms to create powerful predictive models. In some industries, however, adoption of these algorithms has been slow due to a variety of reasons including, model trust, lack of understanding, and governmental regulations. To help address the adoption issue, researchers have worked in the field of explaining model predictions. This talk will chronicle the steps of a research and development project on model-agnostic methods for explanations of predictive models.

 

Short Bio: Ralph Abbey is a Senior Machine Learning Developer at SAS.