Credit Scoring

This KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activities, it is unclear in advance which analytic method is most suitable. This workflow therefore uses three different methods simultaneously – Decision Trees, Neural Networking and SVM – then automatically determines which model is most accurate and writes that model out for further use. This workflow manipulates the data so it is suitable for a variety of modeling techniques by converting nominals to numerics. The data was enhanced so that understandable labels are used. It uses metanodes to “package” each technique suitable for reuse. Each Model uses a Test / Learn and cross validated process to ensure accuracy. The workflow writes out the model in the official PMML format, so that other applications can use the model.

This is a companion discussion topic for the original entry at

I wanted to learn on this basic model how scoring works.
I downloaded the Wf and I was even able to locate where the dataset is located
is here UCI Machine Learning Repository: Statlog (German Credit Data) Data Set
I uploaded the data but I’m stuck there because I’m missing the “scoring” column can anyone advise me where I’m going wrong ?

Data set looks like

Sorry no “scoring” but “Score”

Due to security reason I can not access this site where data is located hyuceyilmaz/Public – Credit – KNIME Hub

But now I have found it and model is working.
Now is time to studying…