overfit
/ˌoʊvərˈfɪt/
verb
- To design a model (especially in statistics or machine learning) that matches the training data too closely, so it performs poorly on new data.
- If you train a neural network for too long, you may overfit the training data.
- To avoid overfitting, data scientists use techniques like cross-validation.
- The algorithm overfit the noise in the dataset instead of learning the real pattern.
Antonyms