English to Portuguese Bus/Financial Mathematics & Statistics

• A Risk Segmentation (Decision Tree) is an empirical Model that arranges different behavioral, demographic, or other characteristics (inputs) to partition a universe of prospects, applicants, customers, products, transactions or other entities into distinct segments by their expected credit risk behavior.
To call a set of criteria and the associated outputs a Risk Segmentation, the following conditions must be satisfied:
o Model inputs must be arranged in sequential (nested) layers.
o At least two segments must be identified by a distinct sequence of criteria with a specific credit risk behavior level being attached to each **final node** of the risk segmentation