過か学がく習しゅう

noun

overfitting

Technical term in machine learning and statistics; refers to a model that fits training data too closely and fails to generalize.

• 過か学がく習しゅうを防ふせぐために正せい則そく化かを行おこなう。

  We apply regularization to prevent overfitting.

• このモデルは過か学がく習しゅうしているので、テストデータでの精せい度どが低ひくい。

  This model is overfitting, so its accuracy on the test data is low.