AI Simplified: SHAP Values in Machine Learning

February 6, 2020

by

· 1 min read

What are SHAP values and how are they being used to explain machine learning predictions?

Meet Mark Romanowsky, a Data Scientist at DataRobot. Mark explains the important role that SHAP values play in machine learning by providing real-world examples: how a group of friends can fairly and efficiently share an Uber ride to their separate homes, and helping college students at risk of not graduating.

Trust your model, understand your features.

Try DataRobot Now

In everyday life, Shapley values are a way to fairly split a cost or payout among a group of participants who may not have equal influence on the outcome. In machine learning models, SHAP values are a way to fairly assign impact to features that may not have equal influence on the predictions.

Learn more in his AI Simplified video: