Training offering

Fast Lane Deutschland

Predicting Continuous Targets Using IBM SPSS Modeler (V16)

Information

Length: 1.0 Day
Course code: 0A0V5G
Delivery method: Classroom
Price: 790 EUR
This training is available on request.
Please contact us by phone or email at :
+49 40 253346-10
info@flane.de

Overview

Predicting Continuous Targets Using IBM SPSS Modeler (v16) is an intermediate level course that 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. Machine learning models will also be presented. Business use case examples include: predicting the length of subscription (for newspapers, telecommunication, job length, and so forth) and predicting claim amount (insurance).

Public

This intermediate course is for 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.

Prerequisits

You should have:

  • Completed Introduction to IBM SPSS Modeler and Data Mining (V16)
  • Experience using IBM SPSS Modeler, including familiarity with the IBM SPSS Modeler environment, creating streams, importing data (Var. File node), basic data preparation (Type node, Derive node, Select node), reporting (Table node, Data Audit node), and creation of models

Objective

Please refer to course overview for description information.

Topics

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

Building Your Tree 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

Building Your Tree 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

Using Traditional Statistical Models

  • Explain key concepts for Linear
  • Customize one option in the Linear node
  • Explain key concepts for Cox
  • Customize one option in the Cox node

Using Machine Learning Models

  • Explain key concepts for Neural Net
  • Customize one option in the Neural Net node