Interpreting random forest classification models using a feature contribution method

Anna Palczewska, Jan Palczewski, Richard Marchese Robinson +1

Model interpretation is one of the key aspects of the model evaluation process. The explanation of the relationship between model variables and outputs is relatively easy for stati…