This workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the effectiveness of the active learning strategy vs a random labeling approach. The example model is trained to predict whether a subject on the weight-height plane is underweight or overweight. The heuristic used to provide labels is called body mass index (BMI). In a real application of the active learning loop, replace the Rule Engine nodes with your method of labeling. For example the Label View node for easy labeling in the KNIME WebPortal.