Overfitting
Category
•
Machine Learning
Definition
When a machine learning model learns the training data too specifically, including noise and irrelevant patterns, resulting in poor performance on new, unseen data.
tl;dr
When a machine learning model learns training data too specifically, performing poorly on new data.