This is an example for visualizing a partial dependence plot and an ICE curves plot in KNIME. An XGBoost model was picked, but any model and its set of Learner and Predictor nodes can be used. - Read the dataset about wines - Partition the data in train and test - Create the samples via the apposite shared component Partial Dependence Pre-processing - Score the samples using the predictor node and a trained model - Visualize the Partial Dependence/ICE Plot and customize it directly in the View (Execute > Right Click > Open View) - Apply and Close to save the custom in-view settings