Question

If your model suffers from overfitting which methods can you use to mitigate it (check all that applies)?

Regularization

Cross validation

Complex model

Add higher degree polynomials to your current model

Answer 1

Correct answers are Regularisation and Cross Validation

In regularisation, we apply some techniques to artificially force the model to become simpler by forcing and applying penalities.

In cross validation, multiple mini training sets are created and these sets are used to validate and train the model making it simpler.

Other two are false,

As complexity of model increases the chance of overfitting and higher degree polynomial mean more number if parameters and it makes the model complex thus increasing the chance of overfitting