Question: You work in a data science team that wants to improve the accuracy of its K-nearest neighbor result by running on top of a naive Bayes result. What is this an example of?

  1. regression
  2. boosting
  3. bagging
  4. stacking

Answer: The correct answer of the above question is Option D:stacking