過剰適合
Meanings
1
General statistical term for a model that fits the training data too closely and fails to generalize.
Regularization techniques are often used to prevent overfitting.
2
overfitting (in machine learning)
Specifically in machine learning; synonymous with 過学習.
See also: 過学習
This model overfits the training data, resulting in low accuracy on the test data.