Active Learning with Basic SVM Model
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 point on the x-y plane lies above or below the x-axis. 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.