Home
/ Business & Management / Machine Learning / Machine Learning for Image Data / Model evaluation
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.
