Glossary term
Glossary term
Foundations
Creating a model that matches the training data so closely that the model fails to make correct predictions on new data.
Regularization can reduce overfitting. Training on a large and diverse training set can also reduce overfitting.
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See Overfitting in Machine Learning Crash Course for more information.
Created for this library
An ML team uses early stopping and validation tracking to detect overfitting and stop training before it harms generalization.
A risk modeling team uses regularization and feature selection to control overfitting on small datasets.
A research team uses k-fold cross-validation to detect overfitting on small datasets before promoting any model.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License