title: Which model to pick from K fold Cross Validation
body: <p>I was reading about cross validation and about how it it is used to select the best model and estimate parameters , I did not really understand the meaning of it.</p>
  
  <p>Suppose I build a Linear regression model and go for a 10 fold cross validation, I think each of the 10 will have different coefficiant values , now from 10 different which should I pick as my final model or estimate parameters.</p>
  
  <p>Or do we use Cross Validation only for the purpose of finding an average error(average of 10 models in our case) and comparing against another model ?</p>