Hi, I am new to Rapidminer and building my first predictive model. While working on the feature engineering part I used dummy encoding on one of the categorical columns, it gave me columns based on the number of categories present in that column. Ideally, it should give n-1 column else multicollinearity will increase as per my understanding. Any trick to get rid off from this issue. Do I need to manually delete one of the generated columns after applying dummy encoding?
Guys, please share your thoughts.