Machine Learning, Data Science, Towards Data Science.
with all the variables. The process for the backward stepwise is as follows: Let us say that there are k predictors. Start with a full model i.e. model with all the predictors. We call this model Mk. Remove predictors from the full model. One at a time. Find the optimal model with k-1 variable.