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A4.3 Machine learning approachesA4.3.10

Importance of model selection and comparison in machine learning

Explain the importance of model selection and comparison in machine learning

AHL≈ 50 minCommand term: ExplainPremium

In this lesson

  • Explaining how different algorithms can give different results depending on the data and the type of problem
  • Explaining the reasons for selecting one model over others: the nature of the problem, its complexity and the desired outcomes
  • Explaining how algorithm performance varies with the characteristics of the data

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What's inside

  1. LearnNo single best algorithm
  2. LearnCommon algorithms compared
  3. LearnWhy the same data gives different results
  4. LabFive models, four data sets
  5. LearnReasons for choosing a model
  6. CheckQuick check
  7. LearnPerformance varies with the data
  8. LearnComparing models fairly
  9. ExamWorked exam answer
  10. ReviewMistakes examiners see
  11. Exam practiceExam-style questions

Ends with 4 exam-style questions worth 11 marks, with a self-marking markscheme.