Mini toolsDefinition
A probabilistic classifier based on applying Bayes' theorem with independence assumptions.
Detailed Explanation
Naive Bayes assumes feature independence given the class, simplifying probability calculations. It uses Bayes' theorem to compute posterior probabilities for classification. Despite its simplicity, it often performs well, especially for text classification tasks.
Use Cases
1. Text classification 2. Spam filtering 3. Sentiment analysis 4. Document categorization
