Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Compared with other machine learning methods, it is more easily interpreted and requires little data preprocessing. In this paper, we employ a gradient-boosting decision-tree (GBDT) method to improve ...

Decision Tree: A predictive model that uses a tree-like structure to recursively split data ... Mathematical methods used to systematically improve a model's performance by minimising or ...