Decision trees constitute a simple yet powerful and interpretable machine learning tool. While tree-based methods are … designed only for cross-sectional data, we propose an approach that combines decision trees with time series modeling and … thereby bridges the gap between machine learning and statistics. In particular, we combine decision trees with hidden Markov …

binary logistic regression and decision trees to predict and optimize reverse logistics flows and networks within the …