Hello,
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
BR
Chris
Der Baumarkt - Prognose Bewertungen.knwf (34.4 KB)