Technical term in machine learning and statistics; refers to a model that fits training data too closely and fails to generalize.
We apply regularization to prevent overfitting.
This model is overfitting, so its accuracy on the test data is low.
Compound of 過 (excess) and 学習 (learning), a calque from English 'overlearning' or 'overfitting' in the context of machine learning.