juniorCurse of Dimensionality
Why do models overfit in high dimensions?
Updated May 15, 2026
Short answer
Too many features allow memorization of noise.
Deep explanation
Model complexity increases with dimensions.
Real-world example
Text classification with sparse vectors.
Common mistakes
- Using all features blindly.
Follow-up questions
- How to reduce overfitting?
- What is bias-variance tradeoff?