16.2 Why do dimensionality reduction?

• Visualisation and exploratory data analysis: understand the structure of your data
• Avoid having too many predictors –> improve model performance
  • Linear regression: number of predictors should be less than the number of data points
  • Multicollinearity: independent predictor variables are highly correlated