9 Use Cases

This chapter is a collection of use cases to showcase mlr3. The first use case shows different functions, using house price data, housing price data in King Country.

Following features are illustrated:

  • Summarizing the data set
  • Converting data to treat it as a numeric feature/factor
  • Generating new variables
  • Splitting data into train and test data sets
  • Computing a first model (decision tree)
  • Building many trees (random forest)
  • Visualizing price data across different region
  • Optimizing the baseline by implementing a tuner
  • Engineering features
  • Creating a sparser model

Further use cases are following soon!