Machine Learning


I’m new to machine learning with KNIME and I’m having a bit of a hard time.
I have to work on a project. The goal is to find out if married employees are likely to be better salespeople than unmarried ones.

My workflow looks like this so far. I wanted to create a new column with 0 (bad salesperson) and 1 (good salesperson) based on the mean value of the sales and then partition this based on the data and run it through various algorithms.
But I don’t know what to do, can anyone help?

Thanks in advance


Der Baumarkt - Prognose Bewertungen.knwf (34.4 KB)

Hi @CL55,

Welcome to the KNIME forum.

Since the dataset in the workflow you shared is present in your local system, I am not able to use it. I have attached an example workflow showcasing how you can achieve this.

Use the GroupBy node to get the mean value of a column then use the Table Row to Variable node to convert it into a variable. Then use the Rule Engine node to create another column based on your requirement.

Der Baumarkt - Prognose Bewertungen.knwf (294.8 KB)


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