Algorithm 5 Ensemble Stacking Classification to Predict Liver Disease

Input:     Training set record Output:   Class of record (liver disease or no liver disease) Generating Algorithm Begin      Step 1: Train the entire dataset on n-base learners      Step 2: Feed output of base learners to meta learner         Base learners used: extra tree classifier, random forest, and xgboost      Step 3: Train meta learner on-base learner output         Meta learner used: logistic regression      Step 4: Testing             Step 4.1: Pass each record through base learners             Step 4.2: Feed output of base learners to meta learner             Step 4.3: Meta-learner output gives final prediction End