AI glossary
What is overfitting?
Short answer
When a model memorises training data, including its noise, and performs poorly on new data.
For example
A student who memorises last year's exam answers scores perfectly on that paper but fails a new one. An overfit model does the same with its training data.
Learn it in a free lesson
Related terms
Questions
What is overfitting in simple terms?
When a model memorises training data, including its noise, and performs poorly on new data.
What is an example of overfitting?
A student who memorises last year's exam answers scores perfectly on that paper but fails a new one. An overfit model does the same with its training data.
Where can I learn about overfitting for free?
AI in Bed explains it in the free lesson "Overfitting & the Goldilocks model" (Intermediate level, 5 minutes), with no sign-up.