Averaged One-Dependence (AODE) Algorithm and its Use in Machine Learning
Why it matters: The averaged one-dependence estimator is an extension of the Naïve Bayes classifier which relaxes the ‘naivety’ and allows for complex feature relationships. In this article we explore the concept of the algorithm, the math behind it, and a custom implementation in Python.
Why it matters: The averaged one-dependence estimator is an extension of the Naïve Bayes classifier which relaxes the ‘naivety’ and allows for complex feature relationships. In this article we explore the concept of the algorithm, the math behind it, and a custom implementation in Python.
What's Your Reaction?
![[Computex] The new be quiet cooling!](https://technetspot.com/uploads/images/202406/image_100x75_6664d1b926e0f.jpg)
