Drawbacks Of Decision Tree
Table Of Contents:
- Overfitting
- Instability
- Biased Towards Features with More Levels
- Difficulty with Continuous Variables
- Greedy Nature (Local Optima)
- Lack of Smooth Decision Boundaries
- Poor Performance on Unstructured Data
- Computational Complexity for Large Datasets
- Difficulty in Handling Correlated Features
- Interpretability Challenges for Large Trees
(1) Overfitting
(2) Instability
(3) Biased Towards Features with More Levels
(4) Difficulty with Continuous Variables
(5) Greedy Nature (Local Optima)
(6) Lack of Smooth Decision Boundaries
(7) Poor Performance on Unstructured Data
(8) Computational Complexity for Large Datasets
(9) Difficulty in Handling Correlated Features
(10) Interpretability Challenges for Large Trees
