1. Introducing regularization to the model always results in equal or better performance on the training set. underfit 될수 있다. -> 결과가 안좋아진다. 2 .Adding many new features to the model helps prevent overfitting on the training set. overfitting 될 수 있다. 3. Introducing regularization to the model always results in equal or better performance on examples not in the training set. regularization 이 과다하면 트레..