Using interpretable boosting algorithms for modeling environmental and agricultural data

Fabian Obster, Christian Heumann, Heidi Bohle +1

We describe how interpretable boosting algorithms based on ridge-regularized generalized linear models can be used to analyze high-dimensional environmental data. We illustrate thi…