Extensions to Linear Regression with Numeric Input

Solving Classification Problems with Penalized Regression

CODE

• Listing 4-4: Converting a Classifi cation Problem to an Ordinary Regression Problem by Assigning Numeric Values to Binary Labels
  • Figure 4-7: Coefficient curves for rocks versus mines classification problem solved by converting to labels

Working with Classification Problems Having More Than Two Outcomes

Understanding Basis Expansion: Using Linear Methods on Nonlinear Problems

CODE

• Listing 4-5: Basis Expansion for Wine Taste Prediction
  • Figure 4-8: Functions generated to expand wine attribute session

Incorporating Non-Numeric Attributes into Linear Methods

CODE

• Listing 4-6: Coding Categorical Variable for Penalized Linear Regression - Abalone Data—larsAbalone.py