Question: Someone of your data science team recommends that you use decision trees, naive Bayes and K-nearest neighbor, all at the same time, on the same training data, and then average the results. What is this an example of?

  1. regression analysis
  2. unsupervised learning
  3. high -variance modeling
  4. ensemble modeling

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