1: Introduction to predicting continuous targets

- List three modeling objectives

- List two business questions that involve predicting continuous targets

- Explain the concept of field measurement level and its implications for selecting a modeling technique

- List three types of models to predict continuous targets

Determine the classification model to use

2: Building decision trees interactively

- Explain how CHAID grows a tree

- Explain how C&R Tree grows a tree

- Build CHAID and C&R Tree models interactively

- Evaluate models for continuous targets

Use the model nugget to score records

3: Building your tree directly

- Explain the difference between CHAID and Exhaustive CHAID

- Explain boosting and bagging

- Identify how C&R Tree prunes decision trees

List two differences between CHAID and C&R Tree

4: Using traditional statistical models

- Explain key concepts for Linear

- Customize options in the Linear node

- Explain key concepts for Cox

Customize options in the Cox node

5: Using machine learning models

- Explain key concepts for Neural Net

Customize one option in the Neural Net node