what are the different methods used in learning how do you choose a correlated predictor are correlated predictors natural which of these variables isn't correlated naturally? what is the correct choice of model approach in the classification model? what is the difference between a correlated cluster and a random sampling how do you get predictors to be highly correlated which of the following methods should be used to select highly correlated predictors? which is an example of a variable selection approach which of the methods is used to select highly correlated predictors? why are predictors correlated which of the following variable selection methods is commonly used for clusters of highly correlated predictors? what approach do you use when selecting a highly correlated predictor are predictors correlated why are all predictors correlated what is the underlying feature in the classification model and the way that it is correlated how are predictors correlated what variable selection approach should i consider when i have thousands of predictors with clusters of highly correlated predictors? which variable selection approach should i consider if i have a large number of predictors with clusters that are highly correlated? why are indexed predictors correlated