Decision Trees and Random Forests.
Decision Trees:
1. Structure:
- Hierarchical tree-like structures for decision-making.
- Nodes represent decisions or test on attributes, and branches represent outcomes.
- Leaves contain the final decision or prediction.
2. Training:
- Splitting nod...
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