Regression by Classification - Contents

• 1. Introduction
• 2. Mapping Regression Into Classification
  • 2.1 Methods For Splitting A Set Of Continuous Values
  • 2.2 Making predictions from the learned models
    • Evaluating the accuracy of regression models
• 3. Iterative Class Discretization
  • 3.1 The Wrapper Approach
  • 3.2 Generating candidate sets of discrete classes
• 4. The Experiments
• 5. Relations To Other Work And Future Directions
• 6. Conclusions