Employee Performance, Knime, Stories, Machine Learning, Data Science.
modeling methods used in this workflow are: Random Forest, Naive Bayes, Gradient Boosted Trees, Tree Ensemble, Linear Regression, Polynomial Regression, XGBoost Linear Ensemble, XGBoost Tree Ensemble, and Decision Tree. If it is that easy to drag and drop nodes, why shouldn’t we use all of them?