A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Linear regression models are built on raw data which is supposed to have linear relation between predictors and target and no multicollinearity between predictors . However, multicollinearity can be complete or partial and the second type of multicollinearity may be successfully utilized in Ridge regression algorithms to solve overfit problem.doi:10.24412/2701-8369-2022-25-33-35 fatcat:bf5lv4tftrch7bl6seicehd3me