All glossary terms
modelsbeginner
Decision Tree
A tree-structured model that makes predictions by recursively splitting data based on feature thresholds.
In more detail
Decision trees are interpretable, handle non-linear relationships, and work with categorical data. Each node splits on a feature, creating a tree of decisions. Prone to overfitting but effective in ensembles.
Examples
- Binary classification trees
- Multi-class decision trees
- Regression trees
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