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DS-200 · Question #12
DS-200 Question #12: Real Exam Question with Answer & Explanation
The correct answer is A. Include a small number "noise" features that are not through to be correlated with the dependent E. Preprocess the data to exclude a typical observation from the model input. See the full explanation below for the reasoning.
Question
Which two techniques should you use to avoid overfitting a classification model to a data set?
Options
- AInclude a small number "noise" features that are not through to be correlated with the dependent
- BReplicate features that are through to be significant predicators of the dependent variable multiple
- CSeparate your input data into a training set that is used for fitting and a test set that is used
- DInclude a regularization term in the model's objective function to control how precisely the model
- EPreprocess the data to exclude a typical observation from the model input
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