Prediction model

[mlauber71]

There is an example of the prediction of the number of customers to a restaurant using the powerful h2o.ai nodes of KNIME. Maybe you can adapt that:

Predict Demand Combining the Power of KNIME & H2O | KNIME

And also as @HansS mentioned there are lots of nodes and example around. Below are a few links about models for numeric targets that might be helpful. Also you might check out specific time series themes (I do not have a collection of links about that right now).

Predictive analytics for Sales

I can think of a few examples that might show you the possible directions This site has an introduction to model building with KNIME and uses an example that could be similar to your question: Concerning the predictions you want you will have to think about how to set up the analysis and prediction. Would you make a prediction for every single product and dealer and what role does the time play in your analysis. Sales within a month or a week. Then the quality of a model will very much de…

Forecasting sales per customer for the next 360 days

@ScottF provided us with simple workflow that shows how you would set up a regression model and do an evaluation using the RMSE ( Root-mean-square deviation) => the lower the better. The KNIME numeric scorer node has you covered there. You could switch out the type of model used: We had a discussion about that here: And also further information about ways to determine the quality of a model (mostly 1/0 but check out the link). I have to see if I have an example with a regression targe…

Evaluate a Linear Regression model

Typically you would use the Scorer nodes. Then there are a few entries dealing with numeric targets, you might want to check them. Regression models (numeric Target) predict how many future visitors a restaurant will receive (with H2O.ai)