Classifying Customers Using IBM SPSS Modeler (V16)

dettagliati del corso
Introduction to Classifying Customers
List three modeling objectives
List two business questions that involve classifying customers
Explain the concept of field measurement level and its implications for selecting a modeling technique
List three types of models to classify customers
Determine the classification model to use
Building Your Tree Interactively with CHAID
Explain how CHAID grows a tree
Build a customized model using CHAID
Evaluate a CHAID model by means of accuracy, risk, response and gain
Use the model nugget to score records
Building Your Tree Interactively with C&R Tree and Quest
Explain how C and R Tree grows a tree
Explain how Quest grows a tree
Build a model interactively using C and R Tree and Quest
List two differences between CHAID, C and R Tree, and Quest
Building Your Tree Directly
Customize two options in the CHAID node
Customize two options in the C and R Tree node
Customize two options in the Quest node
Customize two options in the C5.0 node
Use the Analysis node and the Evaluation node to evaluate and compare models
List two differences between CHAID, C and R Tree, Quest, and C5.0
Using Traditional Statistical Models
Explain key concepts for Discriminant
Customize one option in the Discriminant node
Explain key concepts for Logistic
Customize one option in the Logistic node
List two differences between Discriminant and Logistic
Using Machine Learning Models
Explain key concepts for Neural Net
Customize one option in the Neural Net node