Why do decision trees struggle in high dimensions?
Updated May 15, 2026
Short answer
They become too deep and overfit noise.
Deep explanation
High-dimensional spaces increase split possibilities, leading to fragmented decision boundaries.
Real-world example
Customer churn prediction with many weak features.
Common mistakes
- Not pruning trees.
Follow-up questions
- How to fix overfitting?
- Are ensembles better?