noun
Technical term in machine learning and statistics; refers to a model that fits training data too closely and fails to generalize.
過学習を防ぐために正則化を行う。
We apply regularization to prevent overfitting.
このモデルは過学習しているので、テストデータでの精
This model is overfitting, so its accuracy on the test data is low.
Underfitting; the opposite problem where the model is too simple to capture the underlying pattern.
Compound of 過 (excess) and 学習 (learning), a calque from English 'overlearning' or 'overfitting' in the context of machine learning.