Dear all I’m building a predictor model. My goal is to train a model on data frequency. This means: I have a) the name of the universities b) the country of the universities and c) if the university needs to be checked (“YES” or “NO”). Each university has to be checked once (accreditation topic). When the university appears a second time on the list, the same university does not need to be checked again. As a result, universities, which appear on the list once, have the status “YES”, universities which appear 2, 3 or more times, have the status “NO”. In my opinion, the “Decision Tree Learner” and the “Decision Tree Predictor” are useful and provide the best results so far. However, it seems that it does not fully build on the “frequency” and more on relations between other values. E.g. the connection between the university and a certain country (e.g. Italy) seems to have more weight than the frequency (how often appears the university on the list). Question: Maybe you can tell me if there is a certain KNIME “Learner” or “Predictor” algorithm that is (more) suitable for my Model or experience? Thank you for your feedback Best regards Lukas

KNIME Learner (a prediction model)

mlauber71 November 4, 2022, 9:02pm 5

@LukasB this is a workflow with two options how this could be done. If this is indeed your problem