SPSS Answer Tree 3.1

SPSS Answer Tree (also known as SPSS AnswerTree) is a decision tree and segmentation tool that helps you discover patterns, identify key drivers, and build transparent predictive models from categorical and continuous data. It uses well-known tree-growing methods such as CHAID, Exhaustive CHAID, C&RT, and QUEST to produce easy-to-interpret visual trees and if-then rules that support faster, data-driven decisions.

Key capabilities:

• Visual, interactive tree building with drill-down exploration
• Multiple algorithms to match different data types and objectives
• Support for categorical and continuous predictors, with automatic binning and sensible handling of missing values
• Pruning and validation options to reduce overfitting and assess model stability
• Node-level statistics, gains and lift charts, and rule extraction for clear reporting
• Seamless use with SPSS data and workflows for preparation, analysis, and scoring

Common uses:

• Customer segmentation and targeting
• Churn, propensity, and response modeling
• Credit risk assessment and fraud screening
• Survey analysis and market research
• Operational performance and healthcare outcomes

SPSS Answer Tree is developed by SPSS. The most popular version of this product among our users is 3.1.