In week 7 we will learn about a machine learning method that is most likely new to most of you: tree-based methods and random forests. Random forests build a collection of decision trees to predict your outcome. Random forests are a typical example of a method that score very high on how well they can predict data and very low on how well we can interpret the mechanism of the model. Due to the good prediction performance, this is an often used machine learning method, and has even been the most favorite machine learning method for a couple of years.
Complete and hand in questions 1 - 7 of the lab (at least 2 hours before the start of the lab), finishing the section “Part 1: to be completed at home before the lab”.