noun
Technical term in mathematics and machine learning, describing a model that fits training data too closely and fails to generalize.
過剰適応を防ぐために、正則化という手法がよく使われる。
To prevent overfitting, a technique called regularization is often used.
このモデルは訓練データに過剰適応していて、新しいデータでは精度が落ちる。
This model is overfitting to the training data, and its accuracy drops on new data.
Compound of 過剰 (excess) and 適応 (adaptation), directly translating the English term 'overfitting'.