Arrow Electronics, Inc.

Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1) SPVC

CODE: ZL1_0E0V8

LENGTH: 1 day

PRICE: £240.00

Description

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

This course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and C&R Tree. They will also be introduced to traditional statistical models such as Linear Regression. Students are introduced to machine learning models, such as Neural Networks. Business use case examples include: predicting the length of subscription for newspapers, telecommunication, and job length, as well as predicting insurance claim amounts.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms

Objectives

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

Audience

IBM SPSS Modeler Analysts who have completed the Introduction to IBM SPSS Modeler and Data Mining course who want to become familiar with the modeling techniques available in IBM SPSS Modeler to predict a continuous target.

Prerequisites

 • Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic   knowledge of modeling.
• Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1) is recommended.

Programme

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

 

Further Information

Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.

GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process:

http://w3.ibm.com/services/gbs/evita/BCSVTEnrl.nsf

Once you enroll in a GTP class, you will receive a confirmation letter that should show:

  • The current GTP list price
  • The 20% discounted price available to IBMers. This is the price you will be invoiced for the class.

Session Dates
Date
Location
Time Zone
Language
Type
Guaranteed
PRICE

04 Dec 2021

English

Self Paced Training

£240.00