0A0V5 IBM Predicting Continuous Targets Using IBM SPSS Modeler (V16)

Skills covered:

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.

Audience

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.

Syllabus

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

Training provider

Teaching mode:
Classroom - Instructor Led
Online - Instructor Led
Duration: 1 day
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