Linear and probabilistic models · MLD-0112
Bernoulli naive Bayes
Naive Bayes for binary presence-or-absence features.
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 documents by whether words occur.
Original caveat
Absence contributes information unlike simple count-only interpretations.
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 ↗