Description: Naive Bayes uses [[Baye’s Theorem]] with the assumption of feature independence to classify instances.
Key Points:
- Fast and efficient.
- Performs well with high-dimensional data.
- Assumption of feature independence might not hold in all cases.
Applications: Text classification, sentiment analysis, spam filtering.