home article

Introduction to Machine Learning

COMP60012/70050 Autumn Term 2024/2025

Module 2

K-Nearest Neighbours and Decision Trees

  • Introduction to Module 2
  • Classification with Instance-based Learning (k-Nearest Neighbours)
  • Quiz - K-Nearest Neighbours
  • Classification with Decision Trees
  • How to select the optimal split rule? (information gain/entropy)
  • Worked examples for constructing a decision tree.
  • Summary and further considerations
  • Quiz - Decision Trees

Classification with Decision Trees

For the second main part of this module, we will cover Decision Trees. This video will present the main principles:

<< Previous Next >>

Page designed by Josiah Wang

Department of Computing | Imperial College London