Schulung - IBM 0A0V8G - Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1)

Course Outline

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

Objective

1: Introduction to predictive models for 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 decision trees directly 
Customize two options in the CHAID node 
Customize two options in the C&R Tree node 
List one difference 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