GLOSSARY TERM
What is Overfitting?
When a model learns the noise in the training data rather than the underlying pattern.
Overfitting occurs when a model possesses excessively high capacity relative to the dataset. It results in exceptionally low training error but catastrophic failure to generalize, leading to high error rates on unseen validation data.
Ensure Generalization
Prevent model degradation using robust validation protocols via TacTech MLOps.