Credit Scoring Model - Help

I am new to Knime and was wondering which nodes to use in order to clean and mine data, also which techniques would you suggest in order to model the data. I need to decide wether each customer will default on a loan within the next two years based on 6 variables, which are different types of data such a percentages and integers. I think I will use logistic regression but is there any other techniques you could suggest? The data has also been split into a test and training set, which I will attach.

Hi Mark,

you can find an example for credit scoring here in our use cases

https://www.knime.org/knime-applications/credit-scoring

The workflow is also available on the example server:

https://www.knime.org/nodeguide/applications/credit-scoring/creditscoring

Best, Iris