I’m interested in creating an ensemble of models using several algorithms like Logistic Regression (LR), Decision Trees (DT), Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP). The idea is to combine the predictions from these models and select the most common prediction for each record. For instance, if LR predicts 1, DT predicts 1, SVM predicts 2, and MLP predicts 1 for a particular record, then the ensemble would choose 1 as the final prediction for that record.
Could you please assist me in generating such a model in Knime?
