Tag: SHAP

Explaining AI: Interpreting using SHAP

Explaining AI: Interpreting using SHAP

The possibilities of Machine Learning models are almost limitless. Ranging from predicting customer churn over determining the right discount to maintaining your machines using predictive maintenance. The outcome of a machine learning model is often straightforward: a zero or one in classification problems, a continuous number in case of a regression problem. However, companies might also be interested in understanding how ‘the number’ […]