home article

Introduction to Machine Learning

COMP60012/70050 Autumn Term 2025/2026

Module 3

Evaluation

  • Introduction to Module 3
  • Evaluation set up
  • Cross-validation
  • Evaluation metrics
  • Quiz - evaluation, part 1
  • Imbalanced data distribution
  • Overfitting
  • Confidence intervals
  • Testing for statistical significance
  • Quiz - evaluation, part 2

Imbalanced data distribution

Realistic datasets very rarely contain an equal number of all the classes. Imbalanced datasets are very common and they can have quite an effect on our evaluation metrics.

<< Previous Next >>

Page designed by Josiah Wang

Department of Computing | Imperial College London