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Model evaluation

A video describing common methods to evaluate machine learning methods, presented by Professor Simon Parsons

How can we measure model performance?

This video looks at some common measures or metrics used in evaluating the performance of machine learning classification models, including:

  • accuracy
  • confusion matrices
  • precision
  • recall or sensitivity
  • F1, F2 and F0.5 scores
  • ROC curves.
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Machine Learning for Image Data

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