Linear and probabilistic models · MLD-0453
Gaussian naive Bayes
Naive Bayes with Gaussian feature distributions within each class.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Classify continuous measurements.
Original caveat
It assumes conditional independence and Gaussian feature shapes.
Context and aliases
Level: Intermediate. Stages: Training · Inference.
Tags: ML.
Aliases: None recorded.
Related concepts
Original references
- scikit-learn: Gaussian processes ↗ · Reference link
- scikit-learn: linear models ↗ · Reference link
- scikit-learn: naive Bayes ↗ · Reference link
- Original reference URL ↗