Naive Bayes and KNN Algorithms

Naive Bayes and k-nearest neighbors (KNN) are two classic machine learning algorithms that approach classification problems in fundamentally different ways. In this lesson, we’ll explore the intuition behind Naive Bayes’ probabilistic model, understand why it makes simplifying assumptions, and explore how KNN uses distance-based reasoning to make predictions. Let’s get started.

Identifying Naive-Bayes

Explain the concept of the Naive-Bayes classifier and its assumptions. Why is it called “naive”?

Sample answer

The Naive-Bayes classifier is a probabilistic machine learning model based on Bayes’ theorem, which is used for classification tasks. The core idea is to predict the class of a data point by using the probability of each class given ...