naive-bayes

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.