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Introduction to Machine Learning

COMP70091 Spring Term 2024/2025

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.

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Department of Computing | Imperial College London