Good morning.
My project involves the comparison of three different machine learning algorithms (RF, GBT, and KNN) in order to identify the one that best discriminates between active and inactive molecules for a specific enzyme. In my study, I also investigated how model performance changes when using different molecular fingerprints; therefore, each model was trained using five different molecular fingerprints. As a result, I obtained five ROC curves for each model. Is there a way in KNIME to overlay the five ROC curves (derived from different fingerprints) into a single plot? This would allow me to have only three plots, one per model, instead of fifteen.
