Final answer:
Recursive partitioning involves dividing the data into smaller sets, with members sharing similar characteristics.
Step-by-step explanation:
The correct statement is: Using recursive partitioning, we are dividing the data into smaller sets, each with members sharing similar characteristics. Recursive partitioning is a method used in data analysis to divide a dataset into subsets based on certain criteria. The goal is to create smaller sets that have members with similar characteristics. This process can be used for various purposes, such as creating decision trees for classification problems.