Glossary · Phase 3 · Machine learning
Overfitting
When a model memorizes its training examples, including their noise, and does worse on new data.
Try it now
This is the complexity curve from the section above: training error keeps dropping, and error on new data turns back up.
Learn it properly
Overfitting and underfitting · Memorizing versus learning. About 25 minutes.
Other terms from the same lesson
- underfitting: When a model is too simple to capture the pattern, so it does badly even on training data.
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