The Naïve Bayes algorithm is one of the famous supervised machine learning algorithms. Their popularity stems from their simplicity and their capability to handle irrelevant features and still produce good results. The Naïve Bayes algorithm's simplicity makes it computationally efficient and easily interpretable, rendering it suitable for applications with large datasets. Additionally, its probabilistic framework allows for straightforward integration into various classification tasks, making it a versatile choice across different domains of machine learning.