Tag
categorical-features
- May 26, 2025 One-Hot Encoding as Geometry and the Dummy Variable Trap Why one-hot columns span a subspace whose dimensions are the category count minus one, what collinearity the redundant column introduces, and when the penalty makes it harmless. machine learning
- Oct 10, 2024 Out-of-Fold Target Encoding for High-Cardinality Categoricals How smoothing trades bias for variance in target encoding, why the encoding must be computed out of fold, and what the left-out fold estimate costs in noise. machine learning