Tree-Based Forecast Models
Quelle: https://developer.ibm.com/articles/cc-tree-based-machine-learning-models/
Tree-based forecast models employ decision or regression trees and their ensemble variants (e.g. Random Forest, Gradient Boosting) to generate predictions from historical data. By recursively partitioning the feature space into homogeneous regions, they capture complex nonlinear relationships in supply chain or transportation datasets. These models are particularly well suited for short-term demand and inventory forecasting in logistics.
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