Linear and probabilistic models · MLD-1052
Robust regression
Regression designed to reduce sensitivity to outliers or violated assumptions.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Fit a trend despite a few corrupted measurements.
Original caveat
Robustness depends on the contamination model.
Context and aliases
Level: Intermediate. Stages: Training · Inference.
Tags: ML.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- scikit-learn: Gaussian processes ↗ · Reference link
- scikit-learn: linear models ↗ · Reference link
- scikit-learn: naive Bayes ↗ · Reference link
- Original reference URL ↗