Naive Bayes Classifier
Naive Bayes
A probabilistic machine learning algorithm based on applying Bayes' theorem with strong (naive) independence assumptions between features. It’s simple to implement and surprisingly effective, particularly for text classification tasks like spam filtering, due to its speed and scalability despite the unrealistic independence assumption.