Which two techniques should you use to avoid overfitting a classification model to a data set?

A.
Include a small number “noise” features that are not through to be correlated with the
dependent variable.

B.
Replicate features that are through to be significant predicators of the dependent variable
multiple time for each observation.

C.
Separate your input data into a training set that is used for fitting and a test set that is used
forevaluating the model’s performance

D.
Include a regularization term in the model’s objective function to control how precisely the
model fits the data

E.
Preprocess the data to exclude a typical observation from the model input