How can I train a model to understand how data is distributed within one or more fields of a table and then use this to predict which fields in another table have similar distribution patterns?
Check out the examples server https://www.knime.com/example-workflows
Here you can e.g. find examples on how to train and test a Decision Tree, a Naive Bayes Model or a Logistic Regression Model: EXAMPLES/04_Analytics/04_Classification_and_Predictive_Modelling