What is the effect of cross validation on model complexity


While studying about cross validation I came across this ques,which I got wrong :slightly_smiling:

I could not understand the solution provided,so can someone please help me with this??

Hi @hackers,

It is always recommended that we should choose the model which is less complex.
Complexity depends on many factors. For example:
Do we have optimal subset of features in a model.

So if you have two models, which are having same minimum error( or High Accuracy), you always need to select a simpler one.


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