Suppose you are using stacking with n different machine learning algorithms with k folds on data. Which of the following is true about one level (m base models + 1 stacker) stacking? Note: Here, we are working on binary classification problem All base models are trained on all features You are using k folds for base models

• A. you will have only k features after the first stage
• B. you will have only m features after the first stage
• C. you will have k+m features after the first stage
• D. you will have k*n features after the first stage