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Chapter10: Application Development
Section: Chapter Questions
Problem 14VE
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![Which of the following are true about overfitting?
Having a high training and testing error is a good indicator of overfitting
regularizing helps reduce overfitting
Having a low training error and high testing error is a good indicator of overfitting
Overfitting is due to fitting to the noise of the data.
Overfitting can arise due to having too many degrees of freedom
Having too simple of a model causes overfitting](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2e96339b-d3d9-4039-844d-3fc091742cc5%2F1a1279fa-ade8-4cae-8b59-aa062fe049dd%2Fhmw3c2o_processed.png&w=3840&q=75)
Transcribed Image Text:Which of the following are true about overfitting?
Having a high training and testing error is a good indicator of overfitting
regularizing helps reduce overfitting
Having a low training error and high testing error is a good indicator of overfitting
Overfitting is due to fitting to the noise of the data.
Overfitting can arise due to having too many degrees of freedom
Having too simple of a model causes overfitting
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