I would like to run thru regression algorithms(linear, SVM, Random forest, Xgboost) thru historical data to predict the price range of a product.
To get the price range am going to use top predict value as upper bound and next best value as lower bound).
Ex: Product a price range preicttion - $1000 to $5000. $5000 is from top predicted price. $1000 is from next best-predicted price.
Is my approach correct?
Yet to receive data, so do not have much data sample to provide.