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 problemAll base models are trained on all featuresYou 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