An organization wants to determine why they are losing customers. Which supervised modeling technique would be used to accomplish this task?
A customer has a large data set with no target variables or known results and is looking for a good approach for understanding more about groups within the data
set. Which two IBM SPSS Modeler Professional node applications represent a correct approach to accomplish this task? (Choose two.)
A. The customer uses a Kohonen node in an effort to group data into clusters using a self-organizing map of neurons.
B. The customer uses a TwoStep node to identify the optimal set of clusters within the data.
C. The customer uses a RFM Aggregate node to identify the optimal set of clusters within the data.
D. The customer uses a Carma node in an effort to group data into clusters using a self-organizing map of neurons.
Besides providing a new predicted value, which additional task would some modeling nuggets perform?
A. Provide additional information regarding the quality of the prediction.
B. Filter non-target fields from being passed downstream.
C. Use the scored data to update itself to increase its accuracy.
D. Export the predictions to external storage or processes for further use.